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Serbyn, Nataliia, Myrthe M. Smit, Vimathi S. Gummalla, Gregory J. Brunette i David S. Pellman. "Abstract 6105: Unravelling the mechanistic basis of chromoplexy, a mutational process driving early cancer genome evolution". Cancer Research 83, nr 7_Supplement (4.04.2023): 6105. http://dx.doi.org/10.1158/1538-7445.am2023-6105.
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Abstract Genome evolution can happen gradually or via bursts of rearrangements. Chromoplexy is an example of a process driving rapid genome evolution. This mutational signature is detected in ~18% of human cancers (PCAWG Consortium, 2020) and is frequently observed in prostate adenocarcinoma, lymphoid malignancies, and thyroid adenocarcinoma. Chromoplexy is inferred to happen as one catastrophic event that generates copy-neutral chains of translocations involving multiple chromosomes (Baca et al., 2013). Existing studies of chromoplexy monitor the outcome of massive cancer genome reorganization, thus early molecular events leading to catastrophic chromosome rearrangements remain elusive. In this work, we aimed to recapitulate molecular mechanisms underlying chromoplexy. For this, we set out to establish a cell line model and use fluorescence-based reporter systems to enrich for and allow isolation of cells containing signatures of chromoplexy. We additionally address whether colocalization of multiple double-strand breaks, for example in transcription hubs or abnormal nuclear structures, might stimulate chained inter- and intra- chromosomal translocations typical for chromoplexy. If successful, this work will provide a mechanistic understanding of an important mutational process driving rapid genome evolution in cancer, congenital disease, and potentially organismal evolution. Citation Format: Nataliia Serbyn, Myrthe M. Smit, Vimathi S. Gummalla, Gregory J. Brunette, David S. Pellman. Unravelling the mechanistic basis of chromoplexy, a mutational process driving early cancer genome evolution. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6105.
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Ballas, Leslie K., Brian R. Hu i David I. Quinn. "Chromoplexy and hypoxic microenvironment drives prostate cancer". Lancet Oncology 15, nr 13 (grudzień 2014): 1419–21. http://dx.doi.org/10.1016/s1470-2045(14)71114-3.
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Ashby, Cody, Michael A. Bauer, Yan Wang, Christopher P. Wardell, Ruslana G. Tytarenko, Purvi Patel, Erin Flynt i in. "Chromothripsis and Chromoplexy Are Associated with DNA Instability and Adverse Clinical Outcome in Multiple Myeloma". Blood 132, Supplement 1 (29.11.2018): 408. http://dx.doi.org/10.1182/blood-2018-99-117359.
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Abstract Introduction: Chromothripsis and chromoplexy are gross structural events that deregulate multiple genes simultaneously and may help explain rapid changes in clinical behavior. Previous screening studies in multiple myeloma (MM) using copy number arrays have identified chromothripsis at a low frequency (1.3%) and suggested it adversely impacts prognosis. Here, using whole genome sequencing (WGS) data we have identified a higher frequency of these events, suggesting they are more common than previously thought. Methods: 10X ChromiumWGS (10XWGS) from 76 newly diagnosed MM (NDMM) patients were analyzed for structural rearrangements using Longranger. Oxford Nanopore long read sequencing was performed on 2 samples. Long insert WGS data from 813 NDMM patient samples from the Myeloma Genome Project (MGP) were analyzed for structural rearrangements using Manta. Whole exome sequencing was available for 712 samples. RNA-seq was available for 643 samples. Chromothripsis was determined by manual curation of breakpoint and copy number data. Chromoplexy was defined as rearrangements within 1 Mb of one another involving 3 or more chromosomes. Results: Chromoplexy was detected in 33/76 (46%) cases using 10XWGS data, and cross validated in the MGP WGS dataset being found in 30% (247/813) of samples and was most frequent on chromosomes 8 (11.7% of samples), 14 (10.6%), 11 (9.6%), 1 (9.5%), 6 (8.0%), 22 (7.6%), 12 (6.7%), and 17 (6.7%). The gene regions most involved in chromoplexy events were MYC (chr8; 7.3%), IGH (chr14, 8.8%), IGL (chr22; 4.6%), CCND1 (chr11; 3.9%), TXNDC5 (chr6; 1.7%), FCHSD2 (chr11; 1.4%), FAM46C (chr1; 1.2%), MMSET (chr4; 1.2%), and MAP3K14 (chr17; 0.7%). Chromoplexy samples involved pairings of super-enhancer donors (IGH, IGL, FAM46C, TXNDC5) and oncogenic receptors (CCND1, MMSET, MAP3K14, MYC) implicating transcriptional deregulation. To confirm, RNASeq showed an elevation of expression over median in the oncogenic receptors when paired with a donor: CCND1 (median expression = 12.0 vs. median expression with donor = 17.9), MAP3K14 (10.8 vs. 14.7), MYC (12.7 vs. 14.1) and MMSET (11.9 vs. 16.7). We also identified elevated expression of PAX5 (8.23 vs. 13.79) and two cases where BCL2 (13.32 vs. 14.68) partnered with MYC, one involved IGH similar to follicular lymphoma. To determine if chromoplexy events were happening on the same allele, we performed long read sequencing using Oxford Nanopore on a sample with a t(2;6;8;11) event. We observed a read mapped to chromosome 2, with secondary alignment to chromosomes 6 and 8. This single 32 kb read was a continuous t(2;6;8) event, proving these events occurred on the same allele. However, despite close proximity, the data did not put the t(8;11) in the same read meaning this event occurred on a different allele or sub-clone, suggesting ongoing genomic instability. Chromothripsis was detected in 16/76 (21%) cases using 10XWGS, and was consistent in MGP data, (170/813; 21%). Chromothripsis occurred on all chromosomes but at different frequencies where chromosome 1 had most events (5.1%), followed by 14 (2.4%), 11 (2.3%), 12 (2.2%), 20 (1.9%), 17 (1.9%), and 8 (1.9%). We hypothesized the presence of both chromoplexy and chromothripsis could be associated with ineffective DNA repair and indeed, using WES data, patients with both events show more mutations in TP53 (19% vs. 5%) and ATM (10% vs. 4%) implicating homologous recombination deficiency as an etiologic mechanism. Gene set enrichment analysis showed significant enrichment and positive normalized enrichment score (NES) for the DNA Repair (P = 0.01; NES = 1.7) and MYC pathways (P = 0.01; NES = 3.2) consistent with previous results. In relation to prognosis, chromoplexy and chromothripsis have a negative impact on progression free survival (28.6 months vs. 42.8 months, P=0.03 and 28.6 months vs. 40.7 months P=0.01, respectively). When patients with both chromoplexy and chromothripsis (9%) were examined there was a pronounced effect on PFS (40.7 months vs. 22.7 months, P<0.001). Conclusion: Complex structural events are seen frequently in MM and could help explain disease progression. Severe cases with both chromoplexy and chromothripsis are associated with acquired genomic instability and an adverse impact on prognosis either directly or due to their association with DNA repair abnormalities. This opens the possibility of specifically therapeutically targeting the underlying DNA abnormalities. Disclosures Flynt: Celgene Corporation: Employment, Equity Ownership. Ortiz:Celgene Research SL (Spain), part of Celgene Corporation: Employment, Equity Ownership. Dervan:Celgene Corporation: Employment, Equity Ownership. Gockley:Celgene Corporation: Employment. Davies:Janssen: Consultancy, Honoraria; TRM Oncology: Honoraria; Abbvie: Consultancy; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; ASH: Honoraria; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; MMRF: Honoraria; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees. Thakurta:Celgene Corporation: Employment, Equity Ownership. Morgan:Celgene: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Janssen: Research Funding.
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Wang, Kendric, Yuzhuo Wang i Colin C. Collins. "Chromoplexy: a new paradigm in genome remodeling and evolution". Asian Journal of Andrology 15, nr 6 (26.08.2013): 711–12. http://dx.doi.org/10.1038/aja.2013.109.
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Ashby, Cody, Eileen M. Boyle, Brian A. Walker, Michael A. Bauer, Katie Rose Ryan, Judith Dent, Anjan Thakurta, Erin Flynt, Faith E. Davies i Gareth Morgan. "Chromoplexy and Chromothripsis Are Important Prognostically in Myeloma and Deregulate Gene Function By a Range of Mechanisms". Blood 134, Supplement_1 (13.11.2019): 3767. http://dx.doi.org/10.1182/blood-2019-130335.
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Background: Structural variants are key recurrent molecular features of myeloma (MM) with two types of complex rearrangement, chromoplexy and chromothripsis, having been described recently. The contribution of these to MM prognosis, rapid changes in clinical behavior and punctuated evolution is currently unknown as is the mechanism by which they deregulate gene function. Methods: We analyzed two sets of newly diagnosed MM data: 85 cases with phased whole genome sequencing; and 812 cases from CoMMpass where long-insert whole-genome sequencing was available. Patient derived xenografts from five MM cases were used to generate epigenetic maps for the histone marks, BRD4, MED1, H3K27Ac, H3K4me1, H3K4me3, H3K9me3, H3K36me3 and H3K27me3. Results: In the 10X data the median number of structural events per case was 25 (range 1 - 182); with a median of 14 intra-chromosomal events (range 1 - 179; P<0.001) and 7 inter-chromosomal events (range 0 - 29). Structural events were seen most frequently on chromosomes 14 (64%), 8 (53%), 1 (44%) and 6 (42%). Complex chromosomal rearrangements involving 3 or more chromosomal sites were seen in 46%, 4 or more sites in 20%, 5 or more in 10% and 6 or more in 5% of samples. There were significantly more structural events in the t(4;14) subgroup compared to the t(11;14) subgroup. Significantly more events were also seen in the bi-allelically inactivated TP53 cases. Using an elbow test defined cutoff, we identified cases with high structural variant load in 10% of cases. Chromoplexy called by "Chainfinder" was seen in 18% of cases. Chromothripsis called by "Shatterseek" was seen in 9% of cases. Cases with a high structural load alone were not associated with an adverse outcome whereas cases with chromoplexy or chromothripsis were associated with adverse PFS and OS, p=0.001. A new high-risk subgroup comprising approximately 5% of cases was identified with chromoplexy, chromothripsis and a high structural load. Gene set enrichment analysis of cases with chromoplexy and chromothripsis showed an excess of MYC, E2F and G2M targets, and a reduction in RAS signaling. Interferon a and g responses, an excess of TP53 and reduction in TRAF3 mutations was associated predominantly with chromothripsis. How chromoplexy and chromothripsis are tolerated by the cell is unknown and the association with the cGAS/STING response is further being explored. To determine how chromoplexy may deregulate multiple genes we identified the full spectrum of structural variants to the immunoglobulin (Ig) and non-Ig loci. A range of genes are deregulated by Ig loci including MAP3K14 at a frequency of 2% confirming the importance of non-canonical NFkB signaling. A novel intra-chromosomal rearrangement to ZFP36L1 was upregulated in 10% of cases but was not prognostic. Gene upregulation by non-Ig super enhancers is frequent and targets include PAX5, GLI3, CD40, NFKB1, MAP3K14, LRRC37A, LIPG, PHLDA3, ZNF267, CENPF, SLC44A2, MIER1, SOX30, TMEM258, PPIL1, and BUB3. The topologically associating domain (TADs) containing super enhancers bringing about gene deregulation include TXNDC5, FOXO3, FCHSD2, SP2, FAM46C, CACNA1C, TLCD2 and PIK3C2G. These super enhancers frequently contain important MM genes, the coding sequence of which are disrupted by the rearrangement and could contribute to the clinical phenotype. Accurately reconstructing the structure of the complex rearrangements will allow us to identify the mechanism of gene deregulation and to distinguish between either gene stacking, receptor stacking or both. Conclusions: Upregulation of gene expression by super enhancer rearrangement is a major mechanism of gene deregulation in MM and complex structural events contribute significantly to adverse prognosis by a range of mechanisms as well as simple gene overexpression. Disclosures Boyle: Amgen, Abbvie, Janssen, Takeda, Celgene Corporation: Honoraria; Amgen, Janssen, Takeda, Celgene Corporation: Other: Travel expenses. Walker:Celgene: Research Funding. Thakurta:Celgene: Employment, Equity Ownership. Flynt:Celgene Corporation: Employment, Equity Ownership. Davies:Amgen, Celgene, Janssen, Oncopeptides, Roche, Takeda: Membership on an entity's Board of Directors or advisory committees, Other: Consultant/Advisor; Janssen, Celgene: Other: Research Grant, Research Funding. Morgan:Amgen, Roche, Abbvie, Takeda, Celgene, Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Other: research grant, Research Funding.
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Pham, Minh-Tam N., Michael C. Haffner, Heather C. Wick, Jonathan B. Coulter, Anuj Gupta, Roshan V. Chikarmane, Harshath Gupta, Sarah Wheelan, William G. Nelson i Srinivasan Yegnasubramanian. "Abstract 680: Topoisomerase 2 beta facilitates chromatin reorganization during Androgen Receptor induced transcription and contributes to chromoplexy in prostate cancer". Cancer Research 82, nr 12_Supplement (15.06.2022): 680. http://dx.doi.org/10.1158/1538-7445.am2022-680.
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Abstract Prostate cancer (PCa) is the most common malignancy and second leading cause of cancer death in American men. Androgen Receptor (AR) mediated transcriptional program is central to normal prostate homeostasis and drives PCa growth and survival. Chromoplexy, a highly complex genomic architecture with several intra- and inter-chromosomal segments joined in a chain, is among the most prominent genetic alterations that drive both prostate cancer initiation and progression, and often involves sites of AR transcription. Previous studies have shown that AR induced, topoisomerase 2 beta (TOP2B) mediated double strand breaks were recombinogenic and led to de novo formation of TMPRSS2-ERG fusion gene, shedding light on the potential role of TOP2B in chromoplexy formation. However, the precise role of TOP2B in AR transcription was not well understood. Here, we hypothesize that TOP2B is recruited to resolve topological constraints arising during induction of AR transcriptional programs, and its catalytic activity is required to facilitate or maintain chromosomal interactions optimal for transcriptional induction. We performed Chromosomal Conformation Capture related techniques (3C and HiC) on LNCaP cells before and after androgen stimulation and observed an increase in chromatin interactions within 15kb from promoters of AR target genes upon androgen induction. These interactions depended on TOP2B, as TOP2B catalytic inhibition or knockdown reduced them significantly. Furthermore, TOP2B Hi-CHIP revealed that TOP2B is involved in key enhancer-promoter looping and in several interactions among gene body, enhancers, promoters of AR target genes, and nearby topological associated domain borders. We went on to isolate which steps during AR transcription induction required TOP2B by examining chromatin localization of the key factors, including AR, cohesin (SMC1A), CTCF, histone 3 lysine 27 acetylation (H3K27ac), and total and phosphorylated RNA Polymerase II (RNAPII) using ChIP-seq. These experiments revealed that TOP2B was not required for AR binding nor for localization of H3K27ac marks. However, it was required for recruitment of cohesin to AR binding sites as well as to AR target gene promoters and gene bodies, for displacement of CTCF near AR target genes, and for localization and phosphorylation of RNAPII at AR target genes. These data nominate TOP2B as a key AR coactivator, assisting in the proper assembly of cohesin during transcription induction, and maintaining chromosomal interactions optimal for binding and activation of RNAPII. Intriguingly, sites of binding of TOP2B, as well as of cohesin, were highly associated with sites of chromoplexy complex rearrangements in human prostate cancers. Taken together, this work elucidates the role of TOP2B in AR-induced transcription, and implicates its involvement in chromoplexy formation in PCa. Citation Format: Minh-Tam N. Pham, Michael C. Haffner, Heather C. Wick, Jonathan B. Coulter, Anuj Gupta, Roshan V. Chikarmane, Harshath Gupta, Sarah Wheelan, William G. Nelson, Srinivasan Yegnasubramanian. Topoisomerase 2 beta facilitates chromatin reorganization during Androgen Receptor induced transcription and contributes to chromoplexy in prostate cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 680.
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Anderson, Nathaniel D., Richard de Borja, Matthew D. Young, Fabio Fuligni, Andrej Rosic, Nicola D. Roberts, Simon Hajjar i in. "Rearrangement bursts generate canonical gene fusions in bone and soft tissue tumors". Science 361, nr 6405 (30.08.2018): eaam8419. http://dx.doi.org/10.1126/science.aam8419.
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Sarcomas are cancers of the bone and soft tissue often defined by gene fusions. Ewing sarcoma involves fusions between EWSR1, a gene encoding an RNA binding protein, and E26 transformation-specific (ETS) transcription factors. We explored how and when EWSR1-ETS fusions arise by studying the whole genomes of Ewing sarcomas. In 52 of 124 (42%) of tumors, the fusion gene arises by a sudden burst of complex, loop-like rearrangements, a process called chromoplexy, rather than by simple reciprocal translocations. These loops always contained the disease-defining fusion at the center, but they disrupted multiple additional genes. The loops occurred preferentially in early replicating and transcriptionally active genomic regions. Similar loops forming canonical fusions were found in three other sarcoma types. Chromoplexy-generated fusions appear to be associated with an aggressive form of Ewing sarcoma. These loops arise early, giving rise to both primary and relapse Ewing sarcoma tumors, which can continue to evolve in parallel.
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Shen, Michael M. "Chromoplexy: A New Category of Complex Rearrangements in the Cancer Genome". Cancer Cell 23, nr 5 (maj 2013): 567–69. http://dx.doi.org/10.1016/j.ccr.2013.04.025.
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Zhang, Cheng-Zhong, i David Pellman. "Cancer Genomic Rearrangements and Copy Number Alterations from Errors in Cell Division". Annual Review of Cancer Biology 6, nr 1 (11.04.2022): 245–68. http://dx.doi.org/10.1146/annurev-cancerbio-070620-094029.
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Analysis of cancer genomes has shown that a large fraction of chromosomal changes originate from catastrophic events including whole-genome duplication, chromothripsis, breakage-fusion-bridge cycles, and chromoplexy. Through sophisticated computational analysis of cancer genomes and experimental recapitulation of these catastrophic alterations, we have gained significant insights into the origin, mechanism, and evolutionary dynamics of cancer genome complexity. In this review, we summarize this progress and survey the major unresolved questions, with particular emphasis on the relative contributions of chromosome fragmentation and DNA replication errors to complex chromosomal alterations.
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Mustafin, R. N. "Participation of retroelements in chromoanagenesis in cancer development". Siberian journal of oncology 23, nr 5 (15.11.2024): 146–56. http://dx.doi.org/10.21294/1814-4861-2024-23-5-146-156.
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Purpose of the study: to determine the role of retroelements in chromoanagenesis mechanisms in cancer etiopathogenesis.Material and Methods. The search for relevant sources was carried out in the Scopus, Web of Science, PubMed, Elibrary systems, including publications from February 2002 to December 2023. Of the 864 scientifc articles found, 60 were used to write a systematic review.Results. According to original works and meta-analyses results, the cause of complex chromosomal rearrangements during cancer development may be retroelement pathological activation. Chromoanagenesis involves LINE1, SVA, Alu, HERV, which cause double-stranded DNA breaks, insertions in tumor suppressor genes region, the formation of chimeric oncogenes due to retroelement use as new promoters, and function as molecular “band-aids” in non-homologous end junctions and form bridges of distal DNA fragments. Global structural rearrangements of chromosomes observed during chromoanagenesis may be consequences of retroelements activation, which participate in non-allelic homologous recombination and in microhomology-mediated joining of ends characteristic. Certain types of neoplasms, such as colon cancer, are characterized by both high levels of chromothripsis and retroelement activity. In head and neck squamous cell carcinoma, chromoplexy is specifc, the sources of sequences at the breakpoints of which are retroelements. During chromoanagenesis, activation of proto-oncogenes and inactivation of tumor suppressor genes are observed, which is also a consequence of retroelement activation. This is due to the presence of retroelement sequences in proto-oncogenes promoter regions and introns (which become the basis for chimeric oncogene formation) and hot spots of insertional mutagenesis in tumor suppressor genes (transpositions into these regions inactivate these genes).Conclusion. The results obtained on the driver effect of retroelements in chromothripsis, chromoplexy and chromoanasynthesis mechanisms, which are the basis for the formation of clonal evolution of tumors, indicate promise of targeted therapy aimed at silencing the activity of retroelements in cancer patients treatment. For this purpose, it is possible to use microRNAs complementary to retroelements, which are also involved in tumor development, as tools.
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Pararajalingam, Prasath, Laura K. Hilton, Krysta M. Coyle, Kostiantyn Dreval, Barbara Meissner, Ari Melnick, Marco A. Marra, David W. Scott i Ryan D. Morin. "Complex Structural Variation Associated with Enhancer Hijacking and Loss of Tumor Suppressors in Mantle Cell Lymphoma". Blood 138, Supplement 1 (5.11.2021): 675. http://dx.doi.org/10.1182/blood-2021-153162.
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Abstract Mantle cell lymphoma (MCL) is a rare, incurable mature B-cell lymphoma that can have either an aggressive or indolent clinical course. The hallmark aberration of MCL is the t(11;14)(q13;q32) translocation that places CCND1 under control of the immunoglobulin heavy chain (IGH) locus resulting in its constitutive expression. CCND1/IGH translocation occurs in nearly all MCL cases and arises during VDJ recombination. Whole genome sequencing (WGS) of MCLs has shown the prevalence of additional structural variations (SV), particularly in tumors with poor outcome. Complex rearrangements, such as chromothripsis and chromoplexy have been observed in MCL but their role in lymphomagenesis has not been determined. We hypothesized that some of these complex rearrangements afford a selective advantage to the tumor by disrupting tumor suppressor genes or by placing oncogenes in proximity to regulatory elements in cis, thereby resulting in ectopic expression. We performed WGS on tumor DNA extracted from 106 RCHOP-treated MCL patients. Matching ribosomal-depleted RNA-seq data was available for all tumor samples. Gene expression count values were obtained using Salmon and counts were normalized using the DESeq2 method. Structural variants were identified using a consensus between GRIDSS and Manta and these were analyzed to identify the topology of complex rearrangements using JaBbA. This allows the annotation of rearrangements such as chromothripsis and chromoplexy and enables the detection of genes near new regulatory elements through complex (multi-breakpoint) rearrangements. We supplemented this analysis by including 57 published classical and non-nodal leukemic MCL genomes. Chromothripsis and chromoplexy were observed in 8 and 12 tumors, respectively. The majority of the genomes were associated with isolated structural variations such as large deletions, inversions and reciprocal translocations were more common. Six genes (BCL10, TRAF6, TRAF3, MAP3K7, BTK, RELB) coding for canonical and non-canonical NFκB signaling proteins were found rearranged to within 1Mbp of a naïve B-cell super-enhancer region. The TRAF6 rearrangement was part of a chromothripsis and chromoplexy event involving both chr9 and chr11. A separate chromothripsis example involving chr1 placed each of BCL10 and NOTCH2 within 100-200kbp of super-enhancers. A 1Mbp region containing RELB was amplified and inserted into chr19p approximately 150kbp downstream a super-enhancer. An 800kbp deletion brought MAP3K7 to within 400kbp of a super-enhancer. DAZAP1, a gene known to be recurrently mutated in MCL, was translocated upstream to within 300kbp of a super-enhancer by t(5;19)(p13.3;p15.33). TRAF3 was translocated 400kbp upstream a super-enhancer by t(14;20)(q32.32;q13.13). None of the aforementioned SVs were associated with a detectable increase in expression of the affected gene. In contrast, we identified one genome in which the MYC oncogene was relocated 500kbp upstream of a super-enhancer via an unbalanced t(4;8)(q21.23;q24.21) translocation. In this case, MYC expression was in the 95 th percentile of MYC expression across the cohort. Focal deletions and amplifications were also found affecting lymphoma driver genes. Focal amplifications affecting 3q (34 tumors) and 5p (9 tumors), were among the most common recurrent events. These respectively affect the TERC and TERT genes, both involved in telomerase function. All tumors with TERT amplifications also showed TERC amplifications. TERC and TERT were expressed higher on average in amplified tumors than in unamplified tumors. Two tumors showed focal deletions affecting the 3' end of BIRC3. The focal deletion in one tumor was found to span to the 3' end of BIRC2 resulting in a BIRC2/BIRC3 fusion. Aberrant splicing across the two genes was evident in matching tumor RNA-seq data. Complex rearrangements in MCL have been found to link distant super-enhancer elements with a variety of lymphoma oncogenes. We noted a recurrence of such events affecting known regulators of NFκB signaling. We are using nanopore-based long-read PromethION sequencing to validate the structure of the derivative chromosome in these cases. Although these genes were not detectably overexpressed, deregulation of genes may be occurring by other means. The full extent of deregulation of NFκB and other oncogenic pathways will be revealed as complex rearrangements are studied in additional MCL tumors. Disclosures Coyle: Allakos, Inc.: Consultancy. Melnick: Epizyme: Consultancy; Daiichi Sankyo: Research Funding; Sanofi: Research Funding; Janssen Pharmaceuticals: Research Funding; Constellation: Consultancy; KDAC Pharma: Membership on an entity's Board of Directors or advisory committees. Scott: BC Cancer: Patents & Royalties: Patent describing assigning DLBCL COO by gene expression profiling--licensed to NanoString Technologies. Patent describing measuring the proliferation signature in MCL using gene expression profiling. ; AstraZeneca: Consultancy; Abbvie: Consultancy; NanoString Technologies: Patents & Royalties: Patent describing measuring the proliferation signature in MCL using gene expression profiling.; Rich/Genentech: Research Funding; Celgene: Consultancy; Incyte: Consultancy; Janssen: Consultancy, Research Funding. Morin: Epizyme: Patents & Royalties; Celgene: Consultancy; Foundation for Burkitt Lymphoma Research: Membership on an entity's Board of Directors or advisory committees.
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Sweet-Cordero, E. Alejandro, i Jaclyn A. Biegel. "The genomic landscape of pediatric cancers: Implications for diagnosis and treatment". Science 363, nr 6432 (14.03.2019): 1170–75. http://dx.doi.org/10.1126/science.aaw3535.
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The past decade has witnessed a major increase in our understanding of the genetic underpinnings of childhood cancer. Genomic sequencing studies have highlighted key differences between pediatric and adult cancers. Whereas many adult cancers are characterized by a high number of somatic mutations, pediatric cancers typically have few somatic mutations but a higher prevalence of germline alterations in cancer predisposition genes. Also noteworthy is the remarkable heterogeneity in the types of genetic alterations that likely drive the growth of pediatric cancers, including copy number alterations, gene fusions, enhancer hijacking events, and chromoplexy. Because most studies have genetically profiled pediatric cancers only at diagnosis, the mechanisms underlying tumor progression, therapy resistance, and metastasis remain poorly understood. We discuss evidence that points to a need for more integrative approaches aimed at identifying driver events in pediatric cancers at both diagnosis and relapse. We also provide an overview of key aspects of germline predisposition for cancer in this age group.
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Menghi, Francesca, Koichiro Inaki, XingYi Woo, Pooja A. Kumar, Krzysztof R. Grzeda, Ankit Malhotra, Vinod Yadav i in. "The tandem duplicator phenotype as a distinct genomic configuration in cancer". Proceedings of the National Academy of Sciences 113, nr 17 (7.04.2016): E2373—E2382. http://dx.doi.org/10.1073/pnas.1520010113.
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Next-generation sequencing studies have revealed genome-wide structural variation patterns in cancer, such as chromothripsis and chromoplexy, that do not engage a single discernable driver mutation, and whose clinical relevance is unclear. We devised a robust genomic metric able to identify cancers with a chromotype called tandem duplicator phenotype (TDP) characterized by frequent and distributed tandem duplications (TDs). Enriched only in triple-negative breast cancer (TNBC) and in ovarian, endometrial, and liver cancers, TDP tumors conjointly exhibit tumor protein p53 (TP53) mutations, disruption of breast cancer 1 (BRCA1), and increased expression of DNA replication genes pointing at rereplication in a defective checkpoint environment as a plausible causal mechanism. The resultant TDs in TDP augment global oncogene expression and disrupt tumor suppressor genes. Importantly, the TDP strongly correlates with cisplatin sensitivity in both TNBC cell lines and primary patient-derived xenografts. We conclude that the TDP is a common cancer chromotype that coordinately alters oncogene/tumor suppressor expression with potential as a marker for chemotherapeutic response.
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Hattori, Atsushi, i Maki Fukami. "Established and Novel Mechanisms Leading to de novo Genomic Rearrangements in the Human Germline". Cytogenetic and Genome Research 160, nr 4 (2020): 167–76. http://dx.doi.org/10.1159/000507837.
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During gametogenesis, the human genome can acquire various de novo rearrangements. Most constitutional genomic rearrangements are created through 1 of the 4 well-known mechanisms, i.e., nonallelic homologous recombination, erroneous repair after double-strand DNA breaks, replication errors, and retrotransposition. However, recent studies have identified 2 types of extremely complex rearrangements that cannot be simply explained by these mechanisms. The first type consists of chaotic structural changes in 1 or a few chromosomes that result from “chromoanagenesis (an umbrella term that covers chromothripsis, chromoanasynthesis, and chromoplexy).” The other type is large independent rearrangements in multiple chromosomes indicative of “transient multifocal genomic crisis.” Germline chromoanagenesis (chromothripsis) likely occurs predominantly during spermatogenesis or postzygotic embryogenesis, while multifocal genomic crisis appears to be limited to a specific time window during oogenesis and early embryogenesis or during spermatogenesis. This review article introduces the current understanding of the molecular basis of de novo rearrangements in the germline.
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Bakloushinskaya, Irina. "Chromosome Changes in Soma and Germ Line: Heritability and Evolutionary Outcome". Genes 13, nr 4 (28.03.2022): 602. http://dx.doi.org/10.3390/genes13040602.
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The origin and inheritance of chromosome changes provide the essential foundation for natural selection and evolution. The evolutionary fate of chromosome changes depends on the place and time of their emergence and is controlled by checkpoints in mitosis and meiosis. Estimating whether the altered genome can be passed to subsequent generations should be central when we consider a particular genome rearrangement. Through comparative analysis of chromosome rearrangements in soma and germ line, the potential impact of macromutations such as chromothripsis or chromoplexy appears to be fascinating. What happens with chromosomes during the early development, and which alterations lead to mosaicism are other poorly studied but undoubtedly essential issues. The evolutionary impact can be gained most effectively through chromosome rearrangements arising in male meiosis I and in female meiosis II, which are the last divisions following fertilization. The diversity of genome organization has unique features in distinct animals; the chromosome changes, their internal relations, and some factors safeguarding genome maintenance in generations under natural selection were considered for mammals.
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Pitel, Beth A., Neeraj Sharma, Cinthya Zepeda-Mendoza, James B. Smadbeck, Kathryn E. Pearce, Stephanie A. Smoley, Joselle Cook i in. "Clinical Value of Next Generation Sequencing in the Detection of Recurring Structural Rearrangements and Copy Number Abnormalities in Acute Myeloid Leukemia". Blood 136, Supplement 1 (5.11.2020): 21–22. http://dx.doi.org/10.1182/blood-2020-139691.
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Purpose: Acute myeloid leukemia (AML) is the most common acute leukemia in adults, affecting approximately 20,000 patients annually in the United States. AML genetic subtypes, as defined by the World Health Organization (WHO), are identified through fluorescence in situ hybridization (FISH), conventional chromosome analysis, and sequencing techniques. Mate pair sequencing (MPseq) is a next generation sequencing (NGS) technology optimized to detect genome wide structural variants and copy number alterations at high resolution. Our study goal was to investigate the prognostic value of MPseq in comparison to FISH, chromosome, and sequencing studies in the evaluation of AML patients. Methods: We performed a prospective study using blood and bone marrow samples from 105 patients with a diagnosis of AML, using MPseq, along with chromosome, FISH, and NGS or PCR studies to detect small mutations. Cytogenetic and molecular genetic results were correlated with MPseq findings. We also analyzed the MPseq data for chromoplexy, chromothripsis, and progressive complexity. Junction and copy number burden, the incidence of structural variation in the genome and the percent of the genome with aberrant copy number, were evaluated. Overall survival statistics were stratified by AML subtypes and observed anomalies. Results: Although structural variants in AML were characterized at a high resolution using MPseq when compared to conventional cytogenetic methods, risk stratification using current European Leukemia Net (ELN) guidelines was not improved by MPseq. The cohorts involving 5q and/or 7q deletions exhibited high levels of genomic complexity when compared to normal karyotype AML (NK-AML). The incidence of copy number gains, losses and junctions was greatest in 5q and 7q co-deletions (5q/7q) (16.5, 25.0, 69.3) and 5q deletions (5q) (9.8, 16.7, 31.6) subtypes compared to 7q deletions (3.4, 7.0, 6.7) and NK-AML (2.6, 4.3, 3.8) (p<0.001) subtypes. Chromoplexy, chromothripsis, and progressive structural complexity were detected in most samples with 5q deletions and 5q/7q co-deletions, but absent in samples with 7q or NK-AML. Biallelic inactivation of TP53 by sequencing mutation and/or deletion was common in the 5q/7q co-deletion (14/18 cases) and 5q deletion cohorts (7/10 cases), rare in the 7q deletion cohort (1/11 cases), and absent in the NK-AML (n=44) cohort. The median OS was significantly worse for patients with 5q/7q deletions (122.5 days) and 5q deletions (248 days) compared to NK-AML (413.5 days; p<0.001 and p=0.017, respectively) and between 5q/7q deletions and 7q deletions (370.5 days; p<0.001). No significant difference was observed between 5q/7q and 5q deletion subtypes, between NK and 7q deletion subtypes and between 5q and 7q deletion subtypes. The median OS was also significantly shorter for patients with TP53 alterations compared to patients with normal TP53 status. Patients with chromoplexy, chromothripsis and/or progressive structural complexity identified by MPseq had a significantly shorter median OS compared to patients without these features. (p<0.0001) Discussion: Risk stratifications based on current guidelines using cytogenetic and sequencing results were not adjusted due to MPseq results, which is not surprising when primary abnormalities are observed by conventional cytogenetic methods. NK-AML cases did not appear to benefit from a high resolution genomic evaluation. However, MPseq added value when structural variation required additional characterization, detecting novel rearrangements, such as a KAT6A/SORBS3 fusion. Lastly, we recognized common mischaracterizations made by conventional chromosome studies - including missed TP53 deletions in 7 cases, 5q/7q deletions misinterpreted as monosomies, cryptic NUP98 rearrangements, and unappreciated genomic complexity correlating with poor OS. These mischaracterizations challenge the use of conventional chromosome studies as a gold standard without accompanying FISH or MPseq studies. MPseq, similar to other structural methodologies such as optical mapping and long read sequencing, should be considered important complements to standard cytologic techniques given the important additional genomic information obtained. The additional structural variant characterization will be critical in paving the way for genomic discovery with the overall goal of improving prognostication for patient care. Figure Disclosures Vasmatzis: WholeGenome LLC.: Other: Owner; Mayo Clinic: Membership on an entity's Board of Directors or advisory committees, Research Funding.
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Liu, Enze, Nathan Becker, Parvathi Sudha, Aneta Mikulasova, Mohammad Abu Zaid, Attaya Suvannasankha, Kelvin P. Lee, Rafat Abonour i Brian A. Walker. "Unraveling Diverse Mechanisms of Complex Structural Variant Interactions through Multiomic Data in Multiple Myeloma". Blood 142, Supplement 1 (28.11.2023): 641. http://dx.doi.org/10.1182/blood-2023-186262.
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Introduction: Structural variants (SVs) play a role in proliferation of plasma cells that characterizes multiple myeloma (MM). Several hallmark SVs have been identified in MM, including translocations involving the immunoglobulin heavy chain locus and several partner genes, as well as deletions and duplications affecting key genes such as TP53, RB1, and MYC. Complex SVs such as templated insertions, chromothripsis, and chromoplexy are associated with disease progression but have not yet systematically been studied. Methods: Paired short-read (Illumina, average depth 75x), long-read HiFi (PacBio, 16x), optical genome mapping (OGM; Bionano Genomics, 341x) and Micro-C (Cantata Bio, 45x) data were sequenced from 8 relapsed MM patient-derived xenograft samples and 2 cell lines, covering t(11;14), t(4;14), and hyperdiploid subgroups. Reads were aligned to the hg38 reference genome while complex SVs (chromothripsis, chromoplexy and templated insertion) were systematically identified and accurately reconstructed by combining short-read (Manta), HiFi (pbsv), OGM, and Micro-C data (EagleC). Chromosome organization including loops, topologically associated domains (TADs) and A/B compartments were called from Micro-C data (Mustache and Juicer). Haplotype phasing was conducted using small variants detected from HiFi data. De novo assembly of the genome was conducted using HiFi and Micro-C data and compared to the reference genome. Reconstructed derivative chromosome interactions due to complex SVs were further identified by aligning Micro-C reads to the newly assembled genomes. Previously identified super-enhancers from H3K27Ac ChIP-seq from MM cell lines were mapped onto these SVs and expression of target genes assessed by RNA-seq. Results: 1,340 SVs were found in 10 samples using OGM of which 828 were identified in short-read WGS data. 16 complex SVs including chromothripsis, chromoplexy and templated insertions were detected in 10 samples, and we describe two (Fig.1) in detail here. A complex templated insertion consisting of a t(2;6;8) was found in a t(11;14) PDX sample with copy number gains at breakpoints which could not be resolved from short-read data alone. OGM data revealed a single contig consisting of DNA from chromosomes 2, 6, and 8. Micro-C data revealed interactions between these chromosomes, specifically the gained regions on chromosomes 2 and 8 showed more interactions with chromosome 6 than with other chromosomes, indicating insertions into chromosome 6. As a result, both MYC at chromosome 8 and GALM at chromosome 2 were inserted into the TXNDC5 locus, containing a known MM super-enhancer, leading to the over-expression of both MYC and GALM (log 2FC=1.7 and 1.0) in this sample. A de novo genome assembly indicated neo-TAD formation encompassing the super-enhancer and both genes. In coMMpass dataset, high expression of GALM and MYC are significantly associated with inferior overall (p=0.002 and 0.05, logrank test) and progression-free survival (p=0.01 and 0.09). Another complex templated insertion consisting of a t(3;4;16) was identified in a hyperdiploid PDX sample, again with copy number gains at breakpoints. Although the short-read data indicated an assembly similar to the previous templated insertion SV, the OGM and Micro-C data indicated a 3-way chromosome swap where the short arm of chromosome 3 was translocated to the short arm of chromosome 4, the short arm of chromosome 4 was translocated to the long arm of chromosome 16, and the long arm of chromosome 16 was translocated to the short arm of chromosome 3. Separate contigs for the t(4;16), t(3;16) and t(3;4) were confirmed by OGM data and only 2-way chromosomal interactions were seen in the Micro-C data. This complex event led to numerous oncogenes juxtaposed to super-enhancers, which caused over-expression of target genes such as ACD and RANBP10 (log 2FC=1.0 and 0.4), both of which were on chromosome 16 and are significantly associated with inferior overall (p=0.02 and p=0.004) and progression-free survival (p=0.003 and p=0.005). Conclusion: By utilizing multiomic techniques we were able to reconstruct complex SV events, showing different mechanisms of generating templated insertion events and identifying their biological consequences. We demonstrated how these complex events could potentially facilitate tumor proliferation via engaging the super-enhancers and regulating the expression of key oncogenes.
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Aksenova, Anna Y., Anna S. Zhuk, Artem G. Lada, Irina V. Zotova, Elena I. Stepchenkova, Ivan I. Kostroma, Sergey V. Gritsaev i Youri I. Pavlov. "Genome Instability in Multiple Myeloma: Facts and Factors". Cancers 13, nr 23 (26.11.2021): 5949. http://dx.doi.org/10.3390/cancers13235949.
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Multiple myeloma (MM) is a malignant neoplasm of terminally differentiated immunoglobulin-producing B lymphocytes called plasma cells. MM is the second most common hematologic malignancy, and it poses a heavy economic and social burden because it remains incurable and confers a profound disability to patients. Despite current progress in MM treatment, the disease invariably recurs, even after the transplantation of autologous hematopoietic stem cells (ASCT). Biological processes leading to a pathological myeloma clone and the mechanisms of further evolution of the disease are far from complete understanding. Genetically, MM is a complex disease that demonstrates a high level of heterogeneity. Myeloma genomes carry numerous genetic changes, including structural genome variations and chromosomal gains and losses, and these changes occur in combinations with point mutations affecting various cellular pathways, including genome maintenance. MM genome instability in its extreme is manifested in mutation kataegis and complex genomic rearrangements: chromothripsis, templated insertions, and chromoplexy. Chemotherapeutic agents used to treat MM add another level of complexity because many of them exacerbate genome instability. Genome abnormalities are driver events and deciphering their mechanisms will help understand the causes of MM and play a pivotal role in developing new therapies.
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Yin, Xia, Rui Bi, Pengfei Ma, Shengzhe Zhang, Yang Zhang, Yunheng Sun, Yi Zhang i in. "Multiregion whole-genome sequencing depicts intratumour heterogeneity and punctuated evolution in ovarian clear cell carcinoma". Journal of Medical Genetics 57, nr 9 (20.12.2019): 605–9. http://dx.doi.org/10.1136/jmedgenet-2019-106418.
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BackgroundOvarian clear cell carcinoma (OCCC) arises from endometriosis and represents a difficult-to-treat gynaecological malignancy, in part, because its spatial intratumour heterogeneity and temporal evolutionary trajectories have not been explicitly defined.MethodsWe performed whole-genome sequencing on six pathologically confirmed patients with OCCC. An R package named KataegisPortal was developed to identify and annotate loci of localised hypermutations. Immunohistochemical staining was conducted on a tissue microarray containing 143 OCCC specimens.ResultsMultiregion analysis demonstrated considerable degrees of subclonal diversification, ascribable to dynamic mutagenic processes, as well as macroevolutionary events including the acquisition of aneuploidy and chromoplexy. KataegisPortal unveiled APOBEC-mediated kataegis in the early phases of OCCC pathogenesis. We further showed evidence that APOBEC3A and APOBEC3B were frequently expressed in OCCC and possibly regulated by the MAPK pathway. Notably, APOBEC3B-expressing OCCC displayed favourable prognosis and appreciable immunogenicity manifested by marked cytotoxic T-cell infiltration.ConclusionsThese results point to an appealing model of punctuated tumour evolution underlying OCCC neoplastic transformation and progression, which may pose formidable challenges of early detection and intervention, and indicate the intratumour heterogeneity of cancer-driving alterations, yielding important implications for molecular diagnosis and targeted treatment of this lethal disease.
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Keskus, Ayse, Tanveer Ahmad, Ataberk Donmez, Yi Xie, Isabel Rodriguez, Rose Milano, Nicole Rossi i in. "Abstract 4289: Long-read, assembly-based characterization of rearranged cancer karyotypes". Cancer Research 83, nr 7_Supplement (4.04.2023): 4289. http://dx.doi.org/10.1158/1538-7445.am2023-4289.
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Abstract Introduction: Recent pan-cancer whole-genome sequencing studies revealed the rich landscape of structural variants (SV), from simpler indels to complex events involving multiple breakpoints and sequence gain/loss. SVs may contribute to tumorigenesis through direct modification of coding sequence or deregulation from copy number alterations, enhancer hijacking, or topological domain modification. A substantial part of the variation in the human genome is not accessible to short reads due to mapping ambiguities. Recent benchmarking studies reported that the best short-read methods only have 30-70% SV sensitivity. Long-read sequencing (such as PacBio or Oxford Nanopore) can overcome the limitations of short reads, however the current methods were not designed for the analysis of rearranged cancer genomes with complex copy number profiles. Methods: We developed BGA (Breakpoint Graph Assembler), a method that combines the ideas from long-read assembly and breakpoint graph frameworks. BGA detects abnormally mapped reads and builds a breakpoint graph that characterizes the structure of derived cancer karyotypes. Complex events with multiple breakpoints form connectivity clusters and are classified based on the subgraph properties. BGA also takes advantage of phased haplotypes and can incorporate multiple related datasets (such as in tumor-normal comparison or multi-site tumor sampling). BGA is freely available at: https://github.com/KolmogorovLab/BGA. Results: We first analyzed three cancer cell lines and corresponding matching normal DNAs (HCC1954, H2009, and COLO829). In each cell line, we identified 8-56 somatic rearrangement clusters involving more than two breakpoints and at least 1kb of sequence. In H2009, we identified a chromoplexy event involving chr13 and chr1, consistent with previous FISH experiments. COLO829 showed the lowest number of somatic rearrangement clusters (n=8), including translocation and inversion events between chr3, chr10, and chr12 within the RARB, BICC1, and TRHDE genes. Homologous recombination deficient HCC1954 has the highest number of complex events including the chr17q arm which hosts ERBB2, chromoplexy between chr8, chr5, and chromothripsis in chr21. In addition, we analyzed three other HPV-infected cell lines (CaSki, SCC152, SNU1000). In each of them, we observed complex clusters of HPV-HPV and HPV-human breakpoints that formed cycles, suggesting extrachromosomal amplification. The HPV fragments had many interactions with chromosomal DNA in CaSki and SC152, but not in mostly episomal SNU1000 cells. We also observed karyotype-scale changes that did not involve HPV sequences, such as the simultaneous exchange of six chromosome arms of chr2, chr7, and chr17 in CaSki. Citation Format: Ayse Keskus, Tanveer Ahmad, Ataberk Donmez, Yi Xie, Isabel Rodriguez, Rose Milano, Nicole Rossi, Hong Lou, Laksh Malik, Kimberley Billingsley, Cornelis Blauwendraat, Michael Dean, Mikhail Kolmogorov. Long-read, assembly-based characterization of rearranged cancer karyotypes. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4289.
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Arya, Priyanka, Jennelle C. Hodge, Peggy A. Matlock, Gail H. Vance i Amy M. Breman. "Two Patients with Complex Rearrangements Suggestive of Germline Chromoanagenesis". Cytogenetic and Genome Research 160, nr 11-12 (2020): 671–79. http://dx.doi.org/10.1159/000512898.
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Chromoanagenesis, a phenomenon characterized by complex chromosomal rearrangement and reorganization events localized to a limited number of genomic regions, includes the subcategories chromothripsis, chromoanasynthesis, and chromoplexy. Although definitions of these terms are evolving, constitutional chromoanagenesis events have been reported in a limited number of patients with variable phenotypes. We report on 2 cases with complex genomic events characterized by multiple copy number gains and losses confined to a single chromosome region, which are suggestive of constitutional chromoanagenesis. Case 1 is a 43-year-old male with intellectual disability and recently developed generalized tonic-clonic seizures. Chromosomal microarray analysis identified a complex rearrangement involving chromosome region 14q31.1q32.2, consisting of 16 breakpoints ranging in size from 0.2 to 6.2 Mb, with 5 segments of normal copy number present between these alterations. Interestingly, this case represents the oldest known patient with a complex rearrangement indicative of constitutional chromoanagenesis. Case 2 is a 2-year-old female with developmental delay, speech delay, low muscle tone, and seizures. Chromosomal microarray analysis identified a complex rearrangement consisting of 28 breakpoints localized to 18q21.32q23. The size of the copy number alterations ranged from 0.042 to 5.1 Mb, flanked by 12 small segments of normal copy number. These cases add to a growing body of literature demonstrating complex chromosomal rearrangements as a disease mechanism for congenital anomalies.
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Braunstein, Marc, Patrick Blaney i Gareth J. Morgan. "Whole-Genome Sequencing Identifies Structural Variation As a Key Driver of Disease Relapse and Aggressive Clinical Behavior in Multiple Myeloma". Blood 142, Supplement 1 (28.11.2023): 2773. http://dx.doi.org/10.1182/blood-2023-191008.
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INTRODUCTION: Many key genomic events leading to relapse in multiple myeloma (MM) occur outside of coding regions and can only be identified using whole-genome sequencing (WGS). Studies of MM progression examining single nucleotide variants (SNVs) and insertions/deletions (InDels) have identified a distinct pattern of mutations associated with resistance, however these do not fully account for drivers of progression. Studies of relapsed patients provide hints about the molecular mechanisms driving progression based on identification of homozygous loss of tumor suppressor genes, aberrant copy-number variants (CNVs), and rare examples of complex structural variants (SV). We have analyzed a set of presentation and relapsed MM samples, including paired data, derived from WGS of plasma cells and focused on SVs as key drivers of progression. METHODS: WGS was performed on 338 MM patient samples using CD138-sorted plasma cells, among which 237 samples were paired including 101 patients (30%) at presentation and at relapse, 35 of whom had more than one sample at relapse. A bioinformatics pipeline employing a consensus mechanism for determining the final set of somatic events was used based on Mutect2, Strelka2, and VarScan2 for SNVs; Mutect2, Strelka2, VarScan2, and SvABA for InDels; Battenberg and FACETS for CNVs; Manta, SvABA, DELLY2, and IgCaller for SVs. Additionally, an admixture workflow was used to estimate each individual's ancestral lineage using continentally-distinct references, comprising 23 regional populations within 5 super-populations from the 1000 Genomes Project (https://github.com/pblaney/mgp1000). Complex rearranged genomes were reconstructed using the graph-based R package JaBbA (https://github.com/mskilab-org/JaBbA). Additionally, the python package Pairtree (https://github.com/morrislab/pairtree) was used to describe the evolutionary history of acquired mutations in these patients. RESULTS: Themedian age of the cases studied was 67, and 42% were female. Racial admixture correlated with self-identification, including 74% of European ancestry with the remainder being predominantly of African ancestry. High-risk cytogenetic features were found in 10% and 13% at diagnosis and relapse, respectively. As expected, the tumor mutational burden of the relapse cases was higher than that at presentation. The patterns of SNV mutational drivers were similar at relapse in comparison to presentation with again evidence for a role of biallelic tumor suppressor gene inactivation as being a key mechanism. We also found that the number of SVs increased at relapse. Complex SVs including templated insertions, chromoplexy, and chromothripsis were detected and occurred exclusively at relapse in some cases as well as earlier in the natural history in others, suggesting they can occur as both early and late driver events. Characterizing complex SVs, further we identified them at lower levels in cases at presentation compared to relapse, consistent with these being at a higher clonal fraction and providing further evidence for their role as driver events. We did not see the emergence of additional rearrangements at relapse in either the templated insertions or chromoplexy events, suggesting that these occur at a single timepoint and remain structurally stable overtime. CONCLUSIONS: Complex SVs provide a novel mechanism driving relapse in MM which can deregulate multiple genes simultaneously providing new potential markers of aggressive disease behavior and disease evolution.
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Rustad, Even H., Venkata Yellapantula, Dominik Glodzik, Gunes Gundem, Daniel A. Leongamornlert, Peter J. Campbell, Elli Papaemmanuil, Ola Landgren i Francesco Maura. "Revealing the Impact of Recurrent and Rare Structural Variations in Multiple Myeloma". Blood 134, Supplement_1 (13.11.2019): 576. http://dx.doi.org/10.1182/blood-2019-126392.
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Whole genome sequencing (WGS) studies have started to reveal the critical role of structural variants (SVs) in multiple myeloma (MM) pathogenesis and evolution. We have recently revealed the existence of three main classes of complex events in 30 MM patients: chromothripsis, chromoplexy and templated insertions (Maura F et al, Nat Comm, 2019). Here, drawing on a large cohort of 768 MM patients enrolled in the MMRF CoMMpass study (NCT01454297), we comprehensively characterized the landscape of SVs and their functional implications. Low coverage long-insert WGS (median 4-8X) was available from all patients, of whom 591 also had RNAseq data. Overall, we identified a median of 15 total SVs (range 1-253). Fifty-one percent of SVs (n = 8766) were defined as part of complex events, with a median of one per patient (range 0-14). Chromothripsis, chromoplexy and templated insertions involving >2 chromosomes were observed in 21%, 11% and 21 %, respectively. Chromothripsis was the only SV class with clear prognostic implications after adjustment for molecular and clinical features, resulting in adverse PFS (adjusted HR = 1.57; 95% CI 1.13-2.22; p = 0.008) and OS (adjusted HR = 2.4; 95% CI 1.5-3.83; p < 0.001). Templated insertions emerged as the cause of CCND1-IGH and MYC translocations in 34 % and 73 % of cases, respectively. This is particularly important given the capability of templated insertions to connect and amplify multiple regions of the genome, involving several oncogenes and regulatory regions (e.g. super enhancers). Twenty-four patients (3.1 %) had translocation between an immunoglobulin locus and a non-canonical driver gene (e.g. PAX5, CD40 and MAP3K14), showing outlier expression by RNAseq where available. SV hotspot analysis was carried out using the Piecewise Constant Fitting algorithm, comparing the local SV breakpoint density to an empirical background model (Glodzik et al, Nat Genet, 2017). To identify functionally important hotspots, we integrated: 1) local cumulative copy number data, 2) amplification and deletion peaks identified by GISTIC v2 (q < 0.1), 3) gene fusion data and 4) differential expression analysis with adjustment for main molecular subgroups (limma; Bonferroni-Holm adjusted p-values < 0.01). Ninety-eight hotspots were identified (Figure 1), of which 71 (72%) have not previously been reported. Among these novel hotspots, 23 (33 %) contained a known or suspected driver gene, including TNFRSF17 (encoding CAR-T target BCMA), SYK (BCR signal transduction) and KLF2 (key myeloma transcription factor and germline predisposition locus). Active enhancer regions were present in 29 of the novel hotspots (41 %), including 65 % of those with a concurrent putative driver gene involved. For 34 hotspots (48 %) no clear target gene or regulatory region emerged. SV hotspots and GISTIC peaks covered 13 % of the genome. Overall 38 % of simple and complex SVs had at least one breakpoint falling within a recurrently involved region. The majority of chromoplexy, chromothripsis and templated insertions involved recurrent regions (64, 76 and 86 %, respectively). Simple events were most commonly rare, ranging from 74 % of deletions to 45 % for translocations. Quantifying the global functional impact of the remaining 72 % of non-recurrent or rare SVs, we observed that genes involved by a rare SV were significantly enriched for outlier expression (z-score +/- 2) compared to a permutation background model. Rare deletions and duplications exerted their effects within 10 Kb of the gene body. Translocations and templated insertions were associated with overexpression up to 1 Mb from the gene, but had no effect when involving the gene body, consistent with a major enhancer hijacking mechanism. Finally, we sought to understand the role of recurrent and rare SVs in evolutionary dynamics, analyzing 27 patients that progressed with branching evolution. Seventy-two acquired SVs involved a hotspot region (42 driver and/or enhancer; 48 unknown), while 328 were rare. In conclusion, the SV landscape in multiple myeloma is characterized by multiple recurrently involved genes and regulatory regions. These regions account for the majority of complex SVs, indicating strong positive selection of these events. Nonetheless, the majority of SVs remain unaccounted for. Rare SVs were associated with outlier gene expression and may contribute to the tumor evolutionary trajectory of individual patients. Disclosures Papaemmanuil: Celgene: Research Funding. Landgren:Karyopharm: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Other: IDMC; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees; Theradex: Other: IDMC; Adaptive: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees.
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Mustafin, R. N. "Relationship of TP53 gene with retroelements in urogenital organs carcinogenesis". Cancer Urology 18, nr 1 (6.05.2022): 136–42. http://dx.doi.org/10.17650/1726-9776-2022-18-1-136-142.
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The article presents a hypothesis about the influence of TP53 gene on the development of prostate, kidney, and bladder cancer through negative regulation of retrotransposons. The p53 protein is a transcription factor that controls the expression of various protein-coding genes. The promoter regions of endogenous retroviruses contain almost ideal binding sites for p53, which suppresses translation of these elements and LINE1s. The TP53 gene contains retrotransposons, which promote mutations due to recombinations. Germinal mutations of the TP53 gene in Li–Fraumeni syndrome cause a deficiency of the p53 protein, which leads to the activation of retroelements, which, in turn, cause loss of heterozygosity of the second TP53 allele. The result is a “vicious circle” that stimulates genomic instability and carcinogenesis. This mechanism is possible for sporadic urogenital system malignant neoplasms development, where TP53 mutations are most often identified, acting as drivers of carcinogenesis. At the same time, pathological activation of retroelements is found in many malignant neoplasms. Moreover, the “vicious circle”, when a deficiency of an oncosuppressor causes activation of retroelements that contribute to inactivation of other oncosuppressors, is characteristic not only for р53. Retroelements can be controlled by other oncosuppressor genes that contain hot spots of insertional mutagenesis and retrotransposons (which contribute to recombination events). I suppose that pathological interregulation of retroelements and tumor suppressors is a universal mechanism of carcinogenesis in the development of sporadic malignant neoplasms and hereditary tumor syndromes. Chromoplexy observed in 90 % of prostate cancer samples may reflect these events, since activated retroelements in carcinogenesis contribute to complex chromosomal rearrangements.
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Oey, Harald, Marissa Daniels, Vandana Relan, Tian Mun Chee, Morgan R. Davidson, Ian A. Yang, Jonathan J. Ellis, Kwun M. Fong, Lutz Krause i Rayleen V. Bowman. "Whole-genome sequencing of human malignant mesothelioma tumours and cell lines". Carcinogenesis 40, nr 6 (25.04.2019): 724–34. http://dx.doi.org/10.1093/carcin/bgz066.
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Abstract Pleural mesothelioma is a cancer of serosal surfaces caused by environmental exposure to asbestos. Clinical outcome remains poor and while trials of new treatments are ongoing it remains an understudied cancer. Mesothelioma cell lines can readily be grown from primary tumour and from tumour cells shed into pleural effusion with the latter representing a particularly valuable source of DNA in clinical settings, procurable without the need for additional invasive procedures. However, it is not well understood how accurately patient-derived cultured tumour cells represent the molecular characteristics of their primary tumour. We used whole-genome sequencing of primary tumour and matched cultured cells to comprehensively characterize mutations and structural alterations. Most cases had complex rearranged genomes with evidence of chromoanagenesis and rearrangements reminiscent of chromoplexy. Many of the identified driver mutations were structural, indicating that mesothelioma is often caused by structural alterations and catastrophic genomic events, rather than point mutations. Because the majority of genomic changes detected in tumours were also displayed by the genomes of cultured tumour cells, we conclude that low-passage cultured tumour cells are generally suitable for molecular characterization of mesothelioma and may be particularly useful where tissue samples with high tumour cell content are not available. However, the subclonal compositions of the cell lines did not fully recapitulate the subclonal diversity of the primary tumours. Furthermore, longitudinal acquisition of major alterations in subclonal cell populations was observed after long-term passaging. These two factors define limitations of tumour-derived cell lines as genomic substrate for clinical purposes.
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Cyrta, Joanna, Joel Rosiene, Rohan Bareja, Sarah Kudman, Wael Al Zoughbi, Samaneh Motanagh, David C. Wilkes i in. "Whole-genome characterization of myoepithelial carcinomas of the soft tissue". Molecular Case Studies 8, nr 7 (grudzień 2022): a006227. http://dx.doi.org/10.1101/mcs.a006227.
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Myoepithelial carcinomas (MECs) of soft tissue are rare and aggressive tumors affecting young adults and children, but their molecular landscape has not been comprehensively explored through genome sequencing. Here, we present the whole-exome sequencing (WES), whole-genome sequencing (WGS), and RNA sequencing findings of two MECs. Patients 1 and 2 (P1, P2), both male, were diagnosed at 27 and 37 yr of age, respectively, with shoulder (P1) and inguinal (P2) soft tissue tumors. Both patients developed metastatic disease, and P2 died of disease. P1 tumor showed a rhabdoid cytomorphology and a complete loss of INI1 (SMARCB1) expression, associated with a homozygousSMARCB1deletion. The tumor from P2 showed a clear cell/small cell morphology, retained INI1 expression and strong S100 positivity. By WES and WGS, tumors from both patients displayed low tumor mutation burdens, and no targetable alterations in cancer genes were detected. P2's tumor harbored anEWSR1::KLF15rearrangement, whereas the tumor from P1 showed a novelASCC2::GGNBP2fusion. WGS evidenced a complex genomic event involving mainly Chromosomes 17 and 22 in the tumor from P1, which was consistent with chromoplexy. These findings are consistent with previous reports ofEWSR1rearrangements (50% of cases) in MECs and provide a genetic basis for the loss of SMARCB1 protein expression observed through immunohistochemistry in 10% of 40% of MEC cases. The lack of additional driver mutations in these tumors supports the hypothesis that these alterations are the key molecular events in MEC evolution. Furthermore, the presence of complex structural variant patterns, invisible to WES, highlights the novel biological insights that can be gained through the application of WGS to rare cancers.
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Choi, Jungmin, Aranzazu Manzano, Weilai Dong, Stefania Bellone, Elena Bonazzoli, Luca Zammataro, Xiaotong Yao i in. "Integrated mutational landscape analysis of uterine leiomyosarcomas". Proceedings of the National Academy of Sciences 118, nr 15 (5.04.2021): e2025182118. http://dx.doi.org/10.1073/pnas.2025182118.
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Uterine leiomyosarcomas (uLMS) are aggressive tumors arising from the smooth muscle layer of the uterus. We analyzed 83 uLMS sample genetics, including 56 from Yale and 27 from The Cancer Genome Atlas (TCGA). Among them, a total of 55 Yale samples including two patient-derived xenografts (PDXs) and 27 TCGA samples have whole-exome sequencing (WES) data; 10 Yale and 27 TCGA samples have RNA-sequencing (RNA-Seq) data; and 11 Yale and 10 TCGA samples have whole-genome sequencing (WGS) data. We found recurrent somatic mutations in TP53, MED12, and PTEN genes. Top somatic mutated genes included TP53, ATRX, PTEN, and MEN1 genes. Somatic copy number variation (CNV) analysis identified 8 copy-number gains, including 5p15.33 (TERT), 8q24.21 (C-MYC), and 17p11.2 (MYOCD, MAP2K4) amplifications and 29 copy-number losses. Fusions involving tumor suppressors or oncogenes were deetected, with most fusions disrupting RB1, TP53, and ATRX/DAXX, and one fusion (ACTG2-ALK) being potentially targetable. WGS results demonstrated that 76% (16 of 21) of the samples harbored chromoplexy and/or chromothripsis. Clinically actionable mutational signatures of homologous-recombination DNA-repair deficiency (HRD) and microsatellite instability (MSI) were identified in 25% (12 of 48) and 2% (1 of 48) of fresh frozen uLMS, respectively. Finally, we found olaparib (PARPi; P = 0.002), GS-626510 (C-MYC/BETi; P < 0.000001 and P = 0.0005), and copanlisib (PIK3CAi; P = 0.0001) monotherapy to significantly inhibit uLMS-PDXs harboring derangements in C-MYC and PTEN/PIK3CA/AKT genes (LEY11) and/or HRD signatures (LEY16) compared to vehicle-treated mice. These findings define the genetic landscape of uLMS and suggest that a subset of uLMS may benefit from existing PARP-, PIK3CA-, and C-MYC/BET-targeted drugs.
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Takahashi, Katsuhito, Ayako Motoki, Jun Yashima, Noriyuki Masaki, Hiroko Sano, Hiromasa Yamamoto, Junichi Sou i in. "Frequent mutations of genes predisposing to Rho GTPase signal activation and autophagy inhibition in metastatic soft tissue sarcoma unveiled by paired somatic and germline genomic analyses." Journal of Clinical Oncology 37, nr 15_suppl (20.05.2019): 11071. http://dx.doi.org/10.1200/jco.2019.37.15_suppl.11071.
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11071 Background: Soft tissue sarcoma (STS) is well-known rare cancer with few therapeutic options. Although recent genomic analyses of sarcoma revealed few somatic mutations, massive copy number variations (CNV) and chromoplexy which correlate with worse clinical outcomes, their molecular and genomic mechanisms remain to be understood. Methods: We recruited 116 patients (102 female and 14 male, mean age 50, 80 LMS, 14 LPS, 3 AS and others) and performed whole exome sequencing with the methods as reported in ASCO2018. In addition to somatic mutations, we evaluated germline and CNV contributions in tumor to find LOH mutations by Strelka and Virmid analysis softwares. Results: Of the total of 135-4717 (mean 1129) mutations in tumors, 3-111 (mean 32) mutations were found in 595 COSMIC genes including both somatic and LOH mutations. Less than 33% LOH in the total of somatic and LOH mutations significantly correlated with improved 5-year survival rate as compared with patients with more LOH (81% vs 52%, P=0.01). Among the 224 genes reported in somatic mutations of sarcoma, damaging mutations in ARHGAPs, Rho GTPase signal inactivating genes, were most frequently detected in 59% of total (n=116) and 63% of leiomyosarcoma (n=80) patients as in somatic and/or LOH mutations. Patients with ARHGAP mutations were significantly reduced 5-year survival rates as compared with patients without mutation (51% vs 76%, P=0.007). Among the 163 genes involved in autophagy, a key silencing process for active RhoGTPase, one or more damaging mutations as in somatic and/or LOH mutations were found in 87% in total and 96% in leimyosarcoma patients. Conclusions: Our results, for the first time, suggest an important role of mutations in genes involved in Rho GTPase and autophagy signaling, both well known regulator of chromosomal stability, invasion and metastasis of tumor cells, and thus implicate a potential therapeutic target in STS.
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Hovens, Christopher, Matthew Hong, Geoff Macintyre, David Wedge, Peter Van Loo, Sebastian LunkePhD, Ludmil Alexandrov i in. "Tracking clonal diversity in metastatic prostate cancer progression." Journal of Clinical Oncology 33, nr 7_suppl (1.03.2015): 193. http://dx.doi.org/10.1200/jco.2015.33.7_suppl.193.
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193 Background: Genomic heterogeneity has been observed in a number of tumor types including prostate cancer. However, how subclonal tumor diversity changes during metastasis and progression to lethality remains unexplored. Large scale genomic analyses have reported the most prevalent somatic aberrations associated with the dominant clone of the tumor without permitting an analysis of subclonal complexity or how this complexity impinges on metastatic potential or resistance to treatment. Methods: To understand and track the evolution of lethal prostate cancer from initial therapy to end stage metastases, we performed longitudinal and multiregional sampling of tumors from 7 patients with lethal prostate cancer. We performed whole-genome sequencing, RNA sequencing, and SNP profiling. Computational approaches were used to reconstruct the genetic relationships and evolution of the tumors. These evolutionary tree reconstructions allowed us to observe the dynamics of chromoplexy and mutational processes along specific branches of tumor evolution. To refine the genetic landscape and spatial connections between subclones, we employed deep, targeted re-sequencing of variant loci in the original sequenced samples, in additional FFPE sites sampled from the organ confined tumors, and from blood. Results: We show that while all primary and metastatic prostate tumors share a single ancestral clone, metastases arise from subclones present at minor frequencies in the primary tumor. We reveal that individual metastases comprise mixtures of subclones indicative of intra-metastatic heterogeneity. We provide evidence for cross-metastatic site seeding and dynamic remolding of subclonal mixtures in response to therapy suggesting a distinct metastatic hierarchy. Ultra-deep sequencing of end-stage blood reveals the presence of diverse subclones with metastatic potential derived from various stages in the evolution of the tumor. Conclusions: Our results demonstrate unexpected complexity in the origins of both primary and metastatic prostate cancer, with distinct implications for treatment of advanced disease.
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Olsen, André, Francesco Favero, Yilong Li, Etsehiwot Girma, Breon Feran, Tony Papenfuss, Kristian Helin, Jüri Reimand i Joachim Weischenfeldt. "Abstract A047: Panorama of complex structural variants in primary localized prostate cancer". Cancer Research 83, nr 11_Supplement (2.06.2023): A047. http://dx.doi.org/10.1158/1538-7445.prca2023-a047.
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Abstract Prostate cancer (PCa) is a hormone-driven disease characterized by an abundance of structural variations (SV). Deconvolving the SV patterns can both inform on prior mutational processes leading to cancer, and be leveraged to identify patients with more aggressive disease. Under the auspices of the Pan Prostate Cancer Group (PPCG) consortium, we used whole genome sequencing of 812 treatment naive PCa patients to study both simple and complex SVs. In total, we classified 15,708 simple SVs and 1,448 complex SV events. Complex SVs such as chromothripsis, chromoplexy and templated insertion were found in more than half of the cohort. We also detected tandem duplicator phenotype (TDP) in a subset of the patients associated with CDK12 aberrations. Breakpoint recurrence analysis of driver genes revealed disruption of e.g. PTEN and formation of TMPRSS2-ERG fusion genes frequently coincide with occurrences of specific complex SV types, suggesting specific mutational processes driving these alterations of these cancer genes. Based on the simple and complex SV classifications we extracted six SV signatures, including two TDP-like signatures, distinct deletion-specific SV signatures and a signature characteristic of AR binding sites. We found signatures associated with disease markers, including Gleason score, risk scores, as well as age. Together, these findings provide insights into mechanisms driving SV formation and driver gene alterations in PCa, with potential for identifying markers of aggressive disease. Citation Format: André Olsen, Francesco Favero, Yilong Li, Etsehiwot Girma, Breon Feran, Tony Papenfuss, Kristian Helin, Jüri Reimand, Joachim Weischenfeldt. Panorama of complex structural variants in primary localized prostate cancer [abstract]. In: Proceedings of the AACR Special Conference: Advances in Prostate Cancer Research; 2023 Mar 15-18; Denver, Colorado. Philadelphia (PA): AACR; Cancer Res 2023;83(11 Suppl):Abstract nr A047.
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Song, Dong, Yang Zhao, Quanhua Mu, Zhuangzhuang Liang, Jiajia Wang, Liangliang Cao, Luonan Chen, jie ma i Jiguang Wang. "EPCO-31. GERMLINE AND SOMATIC MUTATIONS IN PEDIATRIC GERM CELL TUMORS". Neuro-Oncology 23, Supplement_6 (2.11.2021): vi8—vi9. http://dx.doi.org/10.1093/neuonc/noab196.030.
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Abstract Pediatric germ cell tumors (pGCTs), a group of germ-cell-originated neoplasms, currently lack sufficient study. Although somatic activation of KIT/AKT and RAS/MAPK pathways have been revealed, no driver mutations have been detected in most of GCT cases. To extensively explore germline and somatic mutations, we analyzed genomic and/or transcriptomic sequencing data of 236 pGCTs, including data from not only public datasets but also newly collected whole-genome-sequencing data of tumor samples together with case-unaffected-parents trios collected in Shanghai Xinhua Hospital. A new computational pipeline was developed and carried out to identify functional germline and somatic variants. Overall, > 30,000 germline and > 100,000 somatic mutations were detected and prioritized. Particularly, we found germline trisomy 21 in three cases, germline XXY in five cases, and one germline XO, demonstrating the enrichment of germline chromosomal abnormality in pGCTs (p-value < 0.0001). We identified 196 loss-of-function-like inherited germline mutations involving CBL (4/212), PTEN (3/212), TEX11 (2/212), and ATM (1/212). In addition, we detected 2,160 de novo germline mutations (DNMs), and showed an average of 69.7 DNMs per proband, which is compatible to the previously reported incidence. Moreover, we discovered recurrent somatic mutations in known driver genes such as KIT (27/110), KRAS (10/110), NRAS (4/110), MTOR (5/110), PTEN (3/110), and CBL (2/110). Interestingly, somatic hotspot RRAS2 mutations were detected in seven of 110 cases. Subsequent clinical association analysis showed that patients who harbored RRAS2 mutations were younger than those harboring KRAS mutations (p-value < 0.05). Somatic copy number changes were frequently observed, including chr12p+ (47/110), chr21q+ (47/110), chrX+ (34/110), chr13q- (27/110), and chr20q+ (26/110). Furthermore, we identified chromoplexy in nine out of 62 cases, and this alteration is significantly enriched in yolk sac tumors with the occurrence 7/11. Collectively, portraying the mutational landscape of pGCTs, we revealed its disease etiology and potential new drug targets.
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Kim, Sheehyun, Hyundong Yoon, Youngil Koh i Sung-Soo Yoon. "Abstract 6073: Distinct subtype of multiple myeloma revealed by whole genome and transcriptome sequencing". Cancer Research 83, nr 7_Supplement (4.04.2023): 6073. http://dx.doi.org/10.1158/1538-7445.am2023-6073.
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Abstract Background: Advanced sequencing technologies have contributed to identifying genomic and transcriptomic features of various types of tumors. Despite several sequencing data from multiple myeloma (MM) being generated, understanding various properties of MM remained insufficient. Methods: The patients confirmed with MM by bone marrow examination were analyzed in the study. Myeloma cells were enriched from the bone marrow aspirates of the patients using CD138. Whole genome sequencing (WGS) and whole transcriptome sequencing (WTS) were performed for isolated myeloma cells. Mutational signatures were analyzed using somatic mutations detected by WGS. Results: A total of 37 MM patients (median age 67) were enrolled in this study. WGS revealed somatic mutations of an average of 8872 single nucleotide variants (SNVs) and 934 insertions and deletions (Indels) from the patients, respectively. By the analysis of structural variants, 7 chromothripsis and 4 chromoplexy patients were identified. Mutational signature analysis showed that single base substitution (SBS) 9 signature largely varied between patients. SBS9 signature high patients were mostly diagnosed with non-IgG/non-IgA heavy chain and lambda light chain type myeloma. Notably, IgD myeloma patients were solely detected in the SBS9 signature high group compared to the low group (p = 0.001). Gene expression patterns obtained from WTS were well-divided into SBS9 signature high and low groups, and analysis of differentially expressed genes (DEG) between SBS9 signature high and low groups implied IgD myeloma features including high expression of IGHD. As a validation test, we tried mutational signature analysis on whole exome sequencing (WES) data of 784 MM patients from the MMRF database. Of the 38 patients with more than 500 exonic mutations, only the SBS9 signature high group had IgD myeloma candidates, whereas the SBS9 signature low group had no IgD myeloma candidate (p = 0.014). Conclusions: DNA and RNA sequencing of myeloma patients could classify specific subtypes of disease categories. Further study for SBS 9 signature high and IgD myeloma is needed to discover the underlying mechanism of distinct features and to find out their clinical implication. Citation Format: Sheehyun Kim, Hyundong Yoon, Youngil Koh, Sung-Soo Yoon. Distinct subtype of multiple myeloma revealed by whole genome and transcriptome sequencing. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6073.
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Kaltenbach, Sophie, Yannick LE Bris, Bruno Tesson, Aurore Touzart, Guillaume Charbonnier, Vincent Ribrag, Remy Gressin i in. "Optical Genome Mapping Provides New Molecular Insights in High-Risk Mantle Cell Lymphoma: A Lysa Study". Blood 142, Supplement 1 (28.11.2023): 6107. http://dx.doi.org/10.1182/blood-2023-173815.
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Introduction Around 5-10% of mantle cell lymphoma (MCL) patients are primary refractory to chemotherapy. They have an extremely dismal prognosis, as do responsive patients that relapsed within 12 months. Despite better understanding of risk factors and evolving classifications, these scores do not predict all high-risk patients and were not designed to guide treatment strategy in newly diagnosed MCL. Optical genome mapping (OGM) is a cutting-edge technology developed for genome-wide detection of structural variants (SVs) including balanced and unbalanced translocations, inversions, insertions, deletions, duplications as well as copy number variations (CNVs). Methods High-risk (HR) patients included in the prospective phase III LyMa trial (NCI NCT00921414; Le Gouill et al. NEJM 2017), were identified as patients experiencing early progression of disease (i.e. within 1 year after randomization). We performed OGM in the HR cohort using available frozen tumoral tissue. Low-risk patients (LR) were used as a control. The data were analyzed with the Bionano Solve software. Results Among 299 MCL patients included in the LyMa trial, 31 high-risk MCL patients were identified (10.4%). OGM was performed in 15 patients: 8 HR and 7 LR. OGM successfully detected the t(11;14) in all patients. We detected a median of 38 SVs (range, 16-129) and 12 CNVs (range, 1-119) per case, higher in HR patients than in LR patients (median 51 vs. 32, p=0.07 for SVs; and 14 vs. 5, p=0.11 for CNVs). Chromothripsis and chromoplexia occurred in both cohorts, but breakage-fusion-bridge (BFB) cycles was only observed in 2 HR MCL. HR MCL were characterized by frequent loss of 17p/ TP53 (63% vs. 0%, p=0.03), and rare deletions of 11q22-q23/ ATM (13% vs. 57%, p=0.12). Three HR patients had no TP53 deletions, two of whom presented a gain of BCL2. Gain of UBR5, that influence transcription and posttranscription processes, was found in 3/8 HR patients compared to 1/8 LR patients. MTAP deletion that has been recently described as biomarkers predicting refractory MCL was found in 5/8 HR MCL and is associated with CDKN2A/2B deletions, compared to 0/8 LR. MTAP deletion was associated with TP53 deletions in two HR MCL, that is supposed to confer resistance to PRMT5 targeted therapy (Sloan SL et al. Blood 2023). Deletion of the chromatin modifier MEF2B occurred in 3/8 HR MCL and 1/8 LR MCL. Two patients had deletion of SMARCA4 at diagnosis, that confers resistance to the BCL-2 inhibitor venetoclax (Agarwal et al. Nature Med 2018). Mutations in the NF-κB alternative pathway, responsible for resistance to ibrutinib, are found in both LR and HR patients. Conclusion In this small cohort of MCL patients included in a trial, complex structural alterations were identified by OGM at the time of diagnosis. OGM is a very promising technology that demonstrated its potential in the cytogenetic prognostic staging of MCL.
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Maura, Francesco, Daniel Leongamornlert, Nicos Angelopoulos, Kevin J. Dawson, Mehmet Kemal Samur, Raphael Szalat, Yu-Tzu Tai i in. "The Landscape of Structural Variant Signatures in Multiple Myeloma Identifies Distinct Disease Subgroups with Implications for Pathogenesis". Blood 132, Supplement 1 (29.11.2018): 109. http://dx.doi.org/10.1182/blood-2018-99-112420.
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Abstract Multiple Myeloma (MM) initiation and progression is driven by recurrent cytogenetic events, i.e. multiple trisomies or translocations within the immunoglobulin locus. Gene mutations have been extensively studied, and they are generally involved in late phases of disease development. On the contrary, very little is known about non-recurrent structural variations (SV), which are increasingly emerging as critical driver in several cancers. To determine the extent to which the MM genome is shaped by such events, we performed whole genome sequencing (WGS) on 67 CD138+ purified bone marrow MM samples from 30 patients (median of 2 samples per patient; range 1-4), to which we added 22 previously published cases (Chapman et al, Nature 2011) for a total of 52 patients and 89 tumor samples. We defined SVs as inversions, translocations, internal tandem duplications and deletions, which we analysed using publicly available tools developed at the Wellcome Sanger Institute. We found a stunning 1887 unique SVs in the whole cohort, with a variable distribution across the entire series (median 29 per patient, range 0-156). To derive a homogeneous catalogue of SV across the different MM patients and biological subgroups, we annotated events according to the recently proposed classification on >2500 cancer genomes (Li Y. et al BioRxiv 2018). IGH and MYC translocations were the most frequent recurrent events and accounted for just 5.3% of the entire SV catalogue. We defined as complex events the following SV classes: chromothripsis, chromoplexy, multiple inversions (distinct between Local_n_Jumps and Local_and_distant_n_jumps in case of translocation involvement), templated insertion between more than 2 chromosomes. According to this classification, in 93% of patients a single, private complex SV was responsible for multiple and simultaneous CNAs across different chromosomes, thus providing a novel pathogenetic explanation for many recurrent CNAs in MM. Overall, 136 complex events were observed in 43/52 patients (83%). We found 34 instances of chromotripsis (Korbel J.O. et al., Cell 2013) in 18/52 (34%) patients. The vast majority (30/34) were clonal and conserved during evolution, suggesting an early role in MM pathogenesis. In addition, we observed 5 chromoplexy events (Korbel J.O. et al., Cell 2013) acquired in 5 patients. More interestingly, evidence of templated insertion on more than 2 chromosomes was observed in 13 patients (25%). This event is composed by multiple concatenated translocations causing small CNAs (mostly gains) and in 77% it resulted in a translocation involving an important MM oncogene (8 MYC and 2 CCND1), suggesting that this is a novel relevant driver mechanism in MM. Given the variety of the landscape of SV between patients, we investigated the presence of SV patterns (SV signatures) by the hierarchical dirichlet process (hdp) (https://github.com/nicolaroberts/hdp). Six main SV signatures were extracted: SV signature #1 was characterized by multiple isolated deletions; SV signature #2 was associated with chromotripsis; SV signature #3 was characterized by reciprocal translocation, local_and_distant_n_jumps and templete insertion between 2 chromosomes. Signature #4 was mostly characterized by local_n_jumps; Signature #5 and #6 were associated with temple insertions on multiple chromosomes with or without large tandem duplication, respectively. Different patients showed differential contribution from different signatures, and based on this we observed 5 distinct clusters. Interestingly some of these clusters were associated with distinct and known MM drivers. For example t(4;14)(MMSET;IGH) cases were enriched for SV signature #1. A significant fraction of patients without any recurrent IGH translocation were characterized by high prevalence of chromothripsis. SV signatures #5 and #6 were mostly associated with hyperdiploid patients with MYC translocation and low genomic impairment. In this study, we describe the landscape of SVs and complex events in MM, suggesting that this notation may represent an important step forward in disentangling the genomic complexity and heterogeneity of MM. Disclosures Moreau: Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees. Corradini:Roche: Honoraria, Other: Advisory Board & Lecturer; Janssen: Honoraria, Other: Lecturer; Sandoz: Other: Advisory Board; Novartis: Honoraria, Other: Advisory Board & Lecturer; Abbvie: Honoraria, Other: Advisory Board & Lecturer; Celgene: Honoraria, Other: Advisory Board & Lecturer; Gilead: Honoraria, Other: Advisory Board & Lecturer; Takeda: Honoraria, Other: Advisory Board & Lecturer; Sanofi: Honoraria, Other: Advisory Board & Lecturer; Amgen: Honoraria, Other: Advisory Board & Lecturer. Anderson:Celgene: Consultancy; Oncopep: Equity Ownership; C4 Therapeutics: Equity Ownership; Takeda Millennium: Consultancy; Gilead: Membership on an entity's Board of Directors or advisory committees; Bristol Myers Squibb: Consultancy. Avet-Loiseau:Sanofi: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Membership on an entity's Board of Directors or advisory committees. Munshi:OncoPep: Other: Board of director. Bolli:Celgene: Honoraria.
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Mimura, Kaito, Norio Shiba, Ai Okada, Kenichi Chiba, Kentaro Watanabe, Takao Deguchi, Kentaro Ohki i in. "Whole-Genome Sequencing of 95 Japanese Patients with Pediatric Acute Myeloid Leukemia". Blood 144, Supplement 1 (5.11.2024): 5720. https://doi.org/10.1182/blood-2024-200476.
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Background Pediatric acute myeloid leukemia (pAML) is one of the main causes of death in pediatric oncology. Most previous studies on the genetics of pAML are limited to exome or targeted sequencing, and the genome-wide mutational landscape of pAML is not well understood. Methods We performed whole-genome sequencing of the tumor and matched normal samples from 95 Japanese primary pAML patients enrolled in Japan Children's Cancer Group (JCCG) AML-12/AML-D16 studies. Tumor samples were collected from bone marrow and matched normal samples were collected from peripheral blood on remission. The median sequencing depth was 120x for tumor samples and 30x for matched normal samples. The super-computing resource was provided by Human Genome Center (the University of Tokyo). Results The landscape of somatic driver mutations in protein-coding regions generally agreed with previous reports. For non-coding drivers, unusual for hematological malignancies, the TERT promoter region was affected by 2 hotspot single-nucleotide variants (c.1-124C>T and c.1-146C>T; n=2, 2%). Mutational signatures were extracted using SigProfiler (Islam et al. Cell Cenom. 2022). Clock-like signatures, namely SBS1 and SBS5, were ubiquitously detected in our cohort, and mutational burden was associated with age (p=8.059e-09 for SBS1, p=1.134e-06 for SBS5). In AMLs with RUNX1-RUNX1T1 and CBFB-MYH11, a reactive oxygen species (ROS)-related signature, SBS18, contributed to a significant number of somatic mutations, with association with age (p=0.02177). The frequencies of SBS18 mutations were similar between clonal and subclonal mutations, indicating that the mutational process mediated by ROS contributed to the entire process of clonal evolution of such AML subtypes. Structural variation analysis identified recurrent drivers including translocations in RUNX1 (n=30, 32%) and KMT2A (n=17, 18%) gene loci, and tandem duplications in the long non-coding RNA CCDC26 region (n=5, 5%). Furthermore, RAG1/2-associated rearrangements in T-cell receptor loci (n=6, 6%) and immunoglobulin loci (n=4, 4%) were also detected. Whether a structural variation was associated with RAG1/2 was defined by the existence of a recombination signal sequence in proximity of the breakpoints. One patient had a complex rearrangement, chromoplexy, involving RAG1/2-associated deletion in TCRδ region and non-RAG1/2-associated RUNX1-RUNX1T1 translocation. This suggests that aberrant RAG1/2-associated double-strand breaks (DSBs) in the TCRδ region and DSBs in RUNX1 and RUNX1T1 regions (neither of which were associated with RAG1/2) may have coincided and simultaneously been repaired, illustrating the mutational events that may have occurred in the early pathogenesis of AML. Conclusion By whole-genome sequencing of Japanese pAML patients, novel mutational events throughout the genome including the non-coding regions were detected. Our data provides novel insights into the pathogenesis of pAML.
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Kinnaman, Michael David, Simone Zaccaria, Alvin Makohon-Moore, Gunes Gundem, Juan E. Arango Ossa, Filemon S. Dela Cruz, Paul A. Meyers i in. "Abstract 3556: Assessing patterns of genomic instability in recurrent osteosarcoma". Cancer Research 83, nr 7_Supplement (4.04.2023): 3556. http://dx.doi.org/10.1158/1538-7445.am2023-3556.
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Abstract Objective: The osteosarcoma genome is characterized by high levels of genomic instability, however whether there is pervasive ongoing genomic instability, or instability introduced by an early catastrophic event, is still unsettled. Methods: We performed 30-80x whole genome sequencing (WGS) of 37 tumor samples from 8 patients with relapsed or refractory osteosarcoma. Each patient had at least one sample from a primary site and one sample from a metastatic or relapse site. A set of high confidence single nucleotide variants (SNV), copy number alterations (CNA), structural variations (SV) were called for each sample using our pediatric expanded genomics pipeline and an analysis focused on markers of genomic instability was performed using a custom pipeline of computational tools. Results: Of the 8 patients in our cohort, 4 had localized disease at diagnosis (OSCE4, OSCE5, OSCE6, OSCE9) and 4 had metastatic disease at diagnosis (OSCE1, OSCE2, OSCE3, OSCE10). There were 17 samples from primary sites, 7 pretreatment biopsies, 10 on therapy primary resections, 20 metastatic sites, 15 of which were from lung metastases. We have previously reported on the clonal evolution regarding SNVs and CNAs within this cohort. TP53 structural variants involving intron 1/2 were seen in 6/8 patients (OSCE2, OSCE3, OSCE4, OSCE6, OSCE9, OSCE10). No new structural variants in consensus driver genes emerged in metastatic or relapse samples. Comparing the earliest sample to most recent sample in each patient, only OSCE1, OSCE9, and OSCE10 demonstrated an increase of ≥100 structural variants at the final timepoint. In OSCE2, OSCE5, and OSCE6, there were less structural variants identified at the final timepoint when compared to the earliest timepoint. Homologous recombination deficiency (HRD) scores were calculated for each sample. Only 4/8 patients (OSCE3, OSCE4, OSCE9, OSCE10) had an HRD score in the most recently acquired sample higher than the score from the primary site. Regions of hypermutation consistent with kataegis were identified for each sample, with the number of kataegis events remaining unchanged or decreasing in some instances. Kataegis events co-localized with rearrangement events a majority of the time (range 50-100%, Avg= 72.6%). Complex rearrangements such as chromothripsis and chromoplexy were assesed. In 6 patients there were > 9 chromosomal arms involved in complex rearrangements that were shared between primary sites and metastatic/recurrent sites, while ≤ 4 chromosomal arms were involved with new complex rearrangements unique to the metastatic sites. Conclusion: The patterns observed in our cohort reveal that osteosarcoma is relatively stable from diagnosis through subsequent relapses, supporting the model that an early catastrophic event accounts for the genomic instability observed in osteosarcoma. Citation Format: Michael David Kinnaman, Simone Zaccaria, Alvin Makohon-Moore, Gunes Gundem, Juan E. Arango Ossa, Filemon S. Dela Cruz, Paul A. Meyers, Meera Hameed, William D. Tap, Julia Lynne Glade Bender, Elli Papaemmanuil, Andrew Kung, Christine Iacobuzio Donahue. Assessing patterns of genomic instability in recurrent osteosarcoma. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 3556.
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Nadeu, Ferran, Romina Royo, Ramon Massoni-Badosa, Beatriz Garcia-Torre, Martí Duran-Ferrer, Kevin J. Dawson, Marta Kulis i in. "Abstract 3795: Early seeding of Richter transformation in chronic lymphocytic leukemia". Cancer Research 82, nr 12_Supplement (15.06.2022): 3795. http://dx.doi.org/10.1158/1538-7445.am2022-3795.
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Abstract Introduction: Clonal evolution drives cancer development due to the emergence and/or selection of proliferatively advantageous subclones. Its understanding may facilitate the design of anticipation-based management strategies. Richter transformation (RT) is a paradigmatic tumor evolution in which chronic lymphocytic leukemia (CLL), an indolent neoplasia of mature B-cells, transforms into a high-grade lymphoma, usually diffuse large B-cell lymphoma (DLBCL), conferring a dismal prognosis. The evolutionary trajectories of RT and its driving (epi)genomic mechanisms remain largely unknown. Aims: To reconstruct the evolutionary history of RT and to reveal the molecular processes underlying this transformation. Methods: We characterized the whole genome (WGS), epigenome (DNA methylation, H3K27ac, ATAC-seq), and transcriptome (RNA-seq), combined with single-cell DNA and RNA sequencing analyses, of 19 CLL patients developing RT before (n=3) or after treatment with chemoimmunotherapy (n=6) and targeted therapies (BCR or BCL2 inhibitors, n=10). We analyzed 54 longitudinal samples covering up to 19 years of disease course. Results: Our WGS analyses uncovered that RT is characterized by a remarkable structural complexity. We also identified a novel treatment-independent RT-specific mutational process, which we named SBS-RT. The genetic driver landscape of RT is a compendium of alterations in genes involved in cell cycle, MYC, and NF-κB pathways, frequently targeted in single catastrophic events including chromothripsis and chromoplexy. The WGS-based phylogenic reconstruction and single-cell DNA/RNA-seq analyses identified a very early diversification of CLL leading to emergence of RT-cells carrying specific genetic drivers and transcriptomic profiles of RT already at CLL diagnosis. These small subclones were dormant for 6-19 years until rapid expansion associated with the clinical transformation. While the DNA methylome kept track of the cell of origin and proliferative history of RT cells, their chromatin configuration and transcriptional program converged into the overexpression of cell cycle regulators, Toll-like receptors, MYC, MTORC1, and OXPHOS related transcripts, as well as downregulation of BCR pathway. This phenotypic shift was related to de novo activation of key transcription factors. In vitro experiments confirmed that RT cells have a 4-fold higher oxygen consumption at routine respiration and electron transfer system capacity compared to CLL. The resistance of RT to BCR inhibition is consistent with its high OXPHOS and low BCR signaling, which mimics de novo DLBCL-OXPHOS insensitive to BCR inhibition. This OXPHOShigh-BCRlow transcriptional axis of RT can be exploited therapeutically. Conclusions: These findings demonstrate the early seeding of subclones driving advanced stages of cancer evolution and uncover therapeutic targets for the, once expanded, lethal Richter transformation. Citation Format: Ferran Nadeu, Romina Royo, Ramon Massoni-Badosa, Beatriz Garcia-Torre, Martí Duran-Ferrer, Kevin J. Dawson, Marta Kulis, Ander Diaz-Navarro, Neus Villamor, Juan L. Melero, Vicente Chapaprieta, Ana Dueso-Barroso, Julio Delgado, Riccardo Moia, Sara Ruiz-Gil, Domenica Marchese, Núria Verdaguer-Dot, Mónica Romo, Maria Rozman, Gerard Frigola, Alfredo Rivas-Delgado, Tycho Baumann, Miguel Alcoceba, Marcos González, Fina Climent, Pau Abrisqueta, Josep Castellví, Francesc Bosch, Marta Aymerich, Anna Enjuanes, Sílvia Ruiz-Gaspà, Armando López-Guillermo, Pedro Jares, Sílvia Beà, Dolors Colomer, Núria López-Bigas, Josep LlGelpí, David Torrents, Peter J. Campbell, Ivo Gut, Pablo M. Garcia-Roves, Davide Rossi, Gianluca Gaidano, Xose S. Puente, Holger Heyn, Francesco Maura, José I. Martín-Subero, Elías Campo. Early seeding of Richter transformation in chronic lymphocytic leukemia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 3795.
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Tytgat, Godelieve, Lieke van Zogchel, Nathalie Lak, Nina Gelineau, Julia Sprokkerieft, Alexandra Letunovska, Marry van den Heuvel i in. "Abstract PR005: A toolbox for the use of cfDNA in pediatric cancer patients". Cancer Research 84, nr 17_Supplement (5.09.2024): PR005. http://dx.doi.org/10.1158/1538-7445.pediatric24-pr005.
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Abstract Testing of circulating tumor derived cell-free DNA (ctDNA) in liquid biopsies has many promising applications in adult cancers. Pediatric cancers are characterized by heterogeneous genetic aberrations that involve chromosomal copy number alterations (CNA), chromoplexy and chromothripsis and few recurrent tumor driving mutations. We therefore developed a toolbox for cfDNA testing for different pediatric tumors, designed for low volume samples, targeting profuse genetic aberrations and different purposes, such establishing diagnosis and prognosis, response monitoring and relapse surveillance. Method: We used reduced representation bisulfite sequencing (cfRRBS) to establish a diagnosis based on DNA methylation of the cfDNA. We established a whole-exome sequencing (WES, 250x coverage) pipeline for cfDNA, to identify mutations and copy number alterations (CNA). Droplet digital PCR (ddPCR) for sensitive detection of mutations (ALK), amplification of MYCN, the methylation status of the tumor suppressor gene RASSF1A (RASSF1A-M) and patient-specific ddPCR, designed for tumor-specific breakpoints, were used for prognostication, response, and early recurrence detection. Liquid biopsies from patients with pediatric renal tumors (n= 50), Neuroblastoma (n> 100), Rhabdomyosarcoma (RMS)(n= 57) and testicular germ cell tumors (TGCT) (n= 97) were tested. Results: In 92% (24/26) the diagnosis RMS was correctly established by cfRBBS, and in 5/10 renal tumor samples. It failed in patients with diffuse nephroblastomatosis, benign cystic lesion and mixed type Wilms tumor. In 20/31 diagnostic renal cfDNA samples and 12/22 paired tumor samples, CNAs (1q gain, loss of 1p, 16q, 11q, 17p and others) were detected. Thirteen CNAs were detected only in cfDNA and 6 in tumor only. Detected mutations in cfDNA consisted of WT1, DROSHA, CTNNB1, SIX1, TRIM28, TP53, DGCR8, MDM2 and DICER1. For neuroblastoma, in 28% (21/74) CNAs were detected only in cfDNA, in 68% (51/74) both in tumor and cfDNA and in 3% (2/74) in tumor only. Aberrations in ALK, CDKN2A, NF1, BRAF, ATM, CCND1, SMARCA4, CREBBP, CDK4, HRAS, MDM4 and NRAS were detected in cfDNA from plasma and/or BM plasma. RASSF1A-M ddPCR was positive in 21/57 patients with RMS and correlated with a 5-year EFS of 46.2% vs 100% (p = 0.001) for RASSF1A-M negative patients, and 5Y OS of 55.7% and 100% (p< 0.001), respectively. In all high-risk neuroblastoma patients RASSF1A-M was detected at diagnosis, high-levels of RASSF1A-M correlated with poor survival (p = .0007) and RASSF1A-M ddPCR further allowed for sensitive disease monitoring. In TGCT, combined miR371a-3p (RT-qPCR) and RASSF1A-M ddPCR correctly detected TGCT patients at diagnosis. Design of tumor-specific ddPCR allowed for sensitive disease monitoring in n= 25 patients, with currently n= 50 PCRs being designed and validated. Conclusion: in pediatric cancer, our cfDNA toolbox can be used to assist establishing a diagnosis, prognosis, sensitive response monitoring but also identification of targetable alterations and tumor heterogeneity. Citation Format: Godelieve Tytgat, Lieke van Zogchel, Nathalie Lak, Nina Gelineau, Julia Sprokkerieft, Alexandra Letunovska, Marry van den Heuvel, Hans Merks, Leendert Looijenga, Maaike Bos, Zeinab Van Gestel-Fadaie, C. Ellen van der Schoot. A toolbox for the use of cfDNA in pediatric cancer patients [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Advances in Pediatric Cancer Research; 2024 Sep 5-8; Toronto, Ontario, Canada. Philadelphia (PA): AACR; Cancer Res 2024;84(17 Suppl):Abstract nr PR005.
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Liu, Enze, Nathan Becker, Parvathi Sudha, Aneta Mikulasova, Rafat Abonour i Brian A. Walker. "Reconstructing Catastrophic Chromothripsis Events Using Multiomic Data Reveals Their Functional Impact in Multiple Myeloma". Blood 144, Supplement 1 (5.11.2024): 4644. https://doi.org/10.1182/blood-2024-205167.
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Introduction: Complex structural variants (SVs) are important markers of high-risk disease in multiple myeloma, and include chromoplexy, templated insertions, and chromothripsis.Despite being able to identify these events in whole genome sequencing data, we still know relatively little about how these are generated and their selective advantage. Chromothripsis is particularly complicated and often involves dozens of SVs and copy number changes, though the functional impact has not been systematically investigated. Methods: Paired short-read (Illumina, average depth 75x), long-read HiFi (PacBio, 16x) and Micro-C (Cantata Bio, 934M reads) data were sequenced from 13 patient-derived xenograft (PDX) samples and 2 cell lines, covering t(11;14), t(4;14), and hyperdiploid subgroups. Reads were aligned to the hg38 reference while haplotype phasing was conducted using small variants detected from HiFi data (deepvariant). De novo assembly was conducted for haplotypes using Micro-C and HiFi data. Chromothripsis events were reconstructed by integrating short-read (Manta), HiFi (pbsv), Micro-C (EagleC) data and assembled haplotypes. Dysregulated genes at the SV region were subsequently identified with RNA-sequencing. Moreover, reconstructed chromosome organization including loops/topologically associated domains (TADs) were identified from Micro-C data (Neoloopfinder). CUT&Tag-IT was conducted for six histone marks to determine chromatin states as well as identifying enhancers/repressors. Additionally, haplotype-level DNA methylation was determined from HiFi data while differential methylation regions were calculated and mapped onto breakpoints. Results: Three chromothripsis events were found in three PDX samples. One occurred on chromosome 2p which was shattered into 32 large fragments (>500 kb), 10 and 13 of which were further amplified or deleted, respectively. 66% of breakpoints did not have homologous joins (N<=1), which, combined with pathway analysis indicated that non-homologous end joining was the dominant DNA damage repair mechanism. SNP B allele frequencies indicated chromothripsis only occurred on one allele. Analysis of chromosome 2 breakpoints and interactions indicated that the chromothripsis event occurred through chromosome shattering, shuffling, and amplification of regions. This event was followed by a swap of material resulting in the insertion of the chromothripsis event into chr 18 and a 10 Mb region of chr 18 into chr 2, thereby affecting multiple chromosomes. Interestingly, chromothripsis-derived insertions into other chromosomes were also observed in 67% of 133 samples with chromothripsis events in the CoMMpass cohort, indicating that duplication of chromothripsis SVs onto other chromosomes is a common mechanism. Among 236 protein coding genes in the region affected by chromothripsis, 109 were significantly dysregulated (|Log2FC|>0.49, p<0.05, T-test). 84 were affected by copy number (CN) loss or gain, including 3 tumor suppressor genes (ASXL2, CN=1) and 4 oncogenes (MYCN, CN=4). Super enhancers (SE) dysregulated 59 genes including a de novo SE defined by H3K27ac detected in a neo-chromatin loop with MYCN which was also hypomethylated at the DNA level (10% vs. 23%, p=0.02, Mann Whitney U test). Also, a SE near KCNS3 was juxtaposed to CAD (an oncogene involved in nucleotide synthesis and proliferation), leading to its over-expression (Log2FC=0.7 p=0.01, CN=2); another SE near MTA3 was juxtaposed to EPCAM, a cell surface adhesion protein, leading to a significant upregulation (Log2FC=3.7, p=1x10-8, CN=4); a t(2;18) breakpoint was found in the promoter of the tumor suppressor FOXN2, resulting in downregulation (Log2FC=-0.5, p=0.08, CN=2); significant allele-specific hypomethylation (2% vs. 37%, p=0.008) was found on the chromothripsis allele in the promoter of oncogene SOS1, which was significantly over-expressed (Log2FC=2.1, p=3x10-6, CN=4). Conclusion: Reconstruction of a chromothripsis event revealed various mechanisms that lead to the dysregulation of multiple oncogenes and tumor suppressors. Our analysis indicated a highly dynamic environment that chromothripsis created to allow MM cells to manipulate gene regulation to gain a proliferative advantage, explaining the negative prognostic impact of these events.
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Nacheva, Elisabeth P., Temenuzhka Boneva, Jenny O'Nions, Andrew J. Wilson, Ke Xu, Robert Baker i Rajeev Gupta. "Chromoanagenesis in Haematological Malignancy: Review of Samples from Patients with Acute Leukemia and MDS". Blood 142, Supplement 1 (28.11.2023): 1564. http://dx.doi.org/10.1182/blood-2023-186105.
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Background: Complex chromosome rearrangements (CCRs) include a variety of structural aberrations grouped as chromothripsis, chromoanasynthesis and chromoplexy. Although the underlying mechanisms for these phenomena are unknown and likely to be different, they appear to originate from a single event. While chromothripsis and chromoanasynthesis affect limited genome sites their role and genome associations in haematological malignancy remain to be elucidated. Aims: This study aimed to provide clarity on the location, incidence and association with TP53 gene profile of chromothripsis (cth) and chromoanasynthesis (cha) events in MDS/AML. Methods: We analysed data from routine investigations carried out by haematological malignancy diagnostic service (HMDS) at University College London Hospital (UCLH) on 2,506 samples of acute myeloid leukaemia (AML) and myelodysplasia (MDS), including G-banding, FISH (Cytocell), chromosome microarray analysis (CMA, Agilent) and target NGS(Illumina). Analysis of 87 samples with complex bone marrow karyotypes were reported following the ISCN 2020 as: (i) cth(alternating disomy and heterozygous loss along a chromosome or chromosomal segment) or (ii) cha (deletions and one or two copy number gains in a single chromosome or chromosome region including copy number variants without the clustered breakpoints of chromothripsis). Statistical analysis used RStudio (v 1.4.1106) to carry Pearson's chi-squared (χ²) and Fisher's exact (2-sided) tests. Results: Complex karyotypes harbouring cth and cha type aberrations were detected in 65 out of 727 AML and 22 out of 1779 MDS samples. The cth events were seen alongside cha in 67% of cases, rarely presenting as a sole abnormality (2%), while cha alone was found in 31% of samples. Most frequently cth was mapped at chromosome 21 (17%), chromosome 7 (15%), chromosome 17 and 19 (13%) and chromosome 5 (11%) (Fig.1a). In this cohort of 87cases, chromothripsis was found to be associated with TP53 deletions ( TP53Del/WT) in 7 (7%) and with TP53 mutations ( TP53Dpl/mut) in 22 (25%), while concurrent TP53 deletions and mutations ( TP53Del/mut) were detected in 29 (33%) ( p = 0.0005). Samples with TP53Del/mut harboured cth in chromosomes 7 (7%), 17 (6%), 8, 9, 19 and 21 (5%) whilst cases with TP53Dpl/mut had cth in chromosomes 21 (9%), 19 (8%), 5 (7%) and 7 (5%). (Fig 1 b). The cha aberrations generally followed the genome location of cth events with some exception. Firstly, chromosomes X,13 and 21 appear to have only cth and is seen at slightly higher level on chromosome 19 (cth 13% vs cha 9%). Secondly, cha was most frequently seen on 5q (61 %), chromosome 17 (40%) and 7q (34%). However, the same chromosomes also had the greatest number of cases presenting with concurrent cth and cha, seen in 63/87 (72%) for chromosome 5, 46/87 (53%) for chromosome 17 and 43/87 (49%) for chromosome 7. Importantly, only cases harbouring 5q deletions showed a statistically significant association with TP53 status ( p = 0.0011) in this cohort irrespective of cth and cha presence. Notably, 24/29 cases (83%) with TP53Del/mut were cth positive and had 5q31 deletion. This finding is an important observation but not in keeping with reports of exclusive association of TP53 mutations with concurrent 5q and 7q loss (1, 2 and 3). The concurrent recording of cth and cha performed by this study could explain the discrepancy, most likely due to high frequency of cha events in 5q. Summary This study highlights issues pertinent to risk stratification in routine diagnostic settings: (i) MDS/AML cases with complex genome harbouring either or both cth and cha share common TP53 aberrations (del/mut) and (ii) deletion of 5q31 is positively associated with TP53 aberrations and presence of cth events. (iii) CMA offers a comprehensive, sensitive, fast and financially superior way to detect cth, cha events along with genome complexity compared to G banding complemented by FISH. Overall, combining CMA and TP53 mutation screening offers a fast, reliable way to detect high risk disease in MDS/AML. Keywords: Complex genome, CMA, chromothripsis, TP53 mutations References: (1) Fontana et al. Leukemia 2017 doi: 10.1038/leu.2017.351. PMCID: PMC5892717. (2) Rücker et al. Haematologica. 2018 doi: 10.3324/haematol. PMCID: PMC5777208. (3) Pitel et al. Blood Cancer J. 2021 https://doi.org/10.1038/s41408-021-00416-4
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Yang, Hui, Guillermo Garcia-Manero, Guillermo Montalban-Bravo, Kelly S. Chien, Awdesh Kalia, Zhenya Tang, Yue Wei i in. "High-Throughput Characterization of Cytogenomic Heterogeneity of MDS Using High-Resolution Optical Genome Mapping". Blood 138, Supplement 1 (5.11.2021): 105. http://dx.doi.org/10.1182/blood-2021-154005.
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Abstract Introduction Introduction of next-generation sequencing has defined the somatic mutational landscape in MDS. Comprehensive high-throughput structural variant profiling (SVP) is as important as mutation profiling in characterizing MDS clonal architecture since these large genomic aberrations have already shown to be critical for diagnosis and risk-stratification of MDS. A subset (MECOM, KMT2A rearrangements) are therapeutic targets in clinical trials. At this time, technical advances in SVP for copy number alterations (CNAs) and fusions have not been congruent with mutation profiling due to the inability of short-read (150bp) NGS to detect SVs. Currently available long-read (10-20Kbp) and whole genome sequencing cannot detect all SVs due to the presence of repeat sequences. Hence, conventional karyotyping (CK) remains the gold standard. Optical genome mapping (OGM) is a novel single-platform technique that measures ultra-long-range sequence patterns (>300Kbp), thereby unaffected by repeat sequences, enabling unbiased evaluation of all types of SVs at a high resolution. Here, we performed comprehensive SVP and mutation profiling in a large well-characterized cohort of MDS. Methods We selected samples with available fresh/frozen BM cells from consecutive treatment-naïve MDS pts who also underwent standard-of-care tests (CK, FISH, targeted 81-gene NGS for mutations). For OGM, ultra-high-molecular-weight-DNA was extracted, followed by labeling, linearization and imaging of DNA (Saphyr, Bionano) [median coverage:>300X]. The results were analyzed using de novo (>500 bp), rare variant (>5000 bp) and copy number (>500,000 bp) pipelines. The data was compared against 200 healthy controls to exclude common germline SVs. Clinical significance of the SVs was determined based on the location/overlap with the coding region of myeloid malignancy associated genes. The detection sensitivity was 10%. Results There were 76 treatment naïve MDS patients. Baseline characteristics, comprehensive cytogenetic scoring system (CCSS) and R-IPPS risk categories and somatic mutations are in Fig 1. OGM identified all clonal abnormalities detected by CK [CNAs, inversions, inter/intra-chromosomal translocations, dicentric, complex derivative chromosomes]. Precise mapping of SVs by OGM at gene-level allowed determining the status of clinically informative biomarkers such as TET2, MECOM, TP53 and KMT2A, without the need for confirmatory assays. Detailed gene-level characterization of different SVs included KMT2A-ELL [t(11;19)] in MDS with WT1 mut, t(9;11) with SYTL2 fusion (and not KMT2A), der(1;7) leading to del(7q) in MDS with GATA2 mut/IDH2 mutand t(1;3)(p36;q21) rearrangements with potential PRDM16 disruption in SF3B1 mut/RUNX1 mutMDS, among others. Using OGM, we mapped the sequence patterns in both samples with IM with high level of confidence. Additionally, OGM identified 23 cryptic, clinically significant SVs in 14 (18%) of 76 pts. These included deletions of TET2, KMT2A, and del(5q), KMT2A amplification in MDS with FLT3-ITD/DNMT3A mut/RAS mut, NUP98-PRRX2, MECOM rearrangement in TET mut mutated NK-MDS. In addition, there were SVs of uncertain significance: duplications of chr1 (PDE41P), deletions of chr21 (involving RUNX1), chr2 (DNMT3A, ASXL2), chr12 (ETV6) and chr22 (EP300) and der(16)t(12;16)(q21.1;q12.1). These cryptic SVs were noted across all R-IPSS risk categories (highest yield in very-low and low R-IPSS) and across all cytogenetic risk-groups (very-good to very-poor). In complex karyotype setting, OGM could resolve the markers and additional genetic material, and in most cases, showed a much higher the degree of complexity within the genome than was apparent by CK. Four pts showed SV patterns typical of chromothripsis/chromoplexy. The median number of mutations per pt was 1 (0-6). When compared to mutation subsets, cryptic SVs were only identified in pts with ≤3 mutations. Majority represented either MDS with TP53 mut (6, 29%) or SF3B1 mut/TET mut (deletions of TET2, KMT2A, NOTCH1 and EP300 genes). Conclusions Unbiased, high-throughput whole genome SVP revealed cryptic, clinically significant SVs in ~18% of MDS pts. OGM is a single-platform cytogenomic tool that can facilitate SVP at a gene-level resolution. This study provides strong support for further validation in expanded cohorts to guide clinical implementation and integration of SVP for routine work-up. Figure 1 Figure 1. Disclosures Wei: Daiichi Sanko: Research Funding. Kantarjian: Ipsen Pharmaceuticals: Honoraria; Amgen: Honoraria, Research Funding; Astellas Health: Honoraria; Astra Zeneca: Honoraria; AbbVie: Honoraria, Research Funding; KAHR Medical Ltd: Honoraria; NOVA Research: Honoraria; Ascentage: Research Funding; Aptitude Health: Honoraria; Novartis: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Jazz: Research Funding; Immunogen: Research Funding; Daiichi-Sankyo: Research Funding; BMS: Research Funding; Precision Biosciences: Honoraria; Taiho Pharmaceutical Canada: Honoraria.
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Yellapantula, Venkata D., Even H. Rustad, Dominik Glozdik, Gunes Gundem, Jun Fan, Juan Medina, Akshar Patel i in. "Whole Genome Sequencing of Extramedullary Myeloma Autopsy Tumors Reveals a Genomic Portrait at Culmination of Clonal Convergence". Blood 132, Supplement 1 (29.11.2018): 3169. http://dx.doi.org/10.1182/blood-2018-99-118740.
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Abstract Introduction Multiple Myeloma (MM) pathogenesis is characterised by extensive genetic and clonal evolution with frequent on-treatment progression. To date, most studies have focused on single diagnostic or paired diagnostic relapse biopsies, and the molecular mechanisms eventually resulting in treatment failure are poorly understood. To determine the molecular underpinnings of disease in its most advanced stage, we performed comprehensive genome profiling of 4 patients with extra-medullary metastatic disease. Methods A total of 8 patients with extramedullary myeloma with 188 (median = 22) distinct metastatic lesions were enrolled as part of the medical donation program at MSK. Here, we present results from 4 patients. Patients 1 and 2 had an indolent disease with a total survival of ~10 years whereas patients 3 and 4 had very aggressive disease and 2-3 years survival. All patients had received a sequence of multi-modal myeloma treatments. Targeted gene sequencing using a myeloma specific targeted panel myTYPE was performed in 28 samples from all 4 patients to a median coverage of 667x. Additionally, 6 tumors from patients 1 and 2 were subject to WGS to a median coverage 92x. Results Driver events: Aberrations across all 28 samples sequenced using myTYPE were examined. We found t(4;14) in Patients 3 and 4 across all the metastatic lesions consistent with previous knowledge that these are early initiating events. Besides IGH translocations, we found copy number changes involving 1p-, 1q+ and 13q-. Patient 1 and 2 had 17p- and 8p- shared across all the metastatic lesions. All patients had RAS/RAF pathway mutations and additional mutations were found in FAM46C, TP53 and BIRC3. In WGS, we observed a median SNV, Indel & SV burden of 12150, 1196 & 70.5 respectively. This mutational load is greater than two-fold higher to previously published estimates derived from primary diagnostic samples. Clonal structure using WGS: Clonal phylogeny was constructed using nDirichlet process clustering. Evaluation of mutation and clonal spectra showed evidence of clonal diversification amongst sites but within each sample all mutations had fully clonal cancer cell fractions, i.e. there were no subclones. For Patient 1, the phylogenetic tree was dominated by 9,099 truncal mutations, and 150-462 site specific yet clonal mutations. For Patient 2, the tree was dominated by 8,540 truncal mutations and site specific clonal mutations (n= 356; 1,186). However, evaluation of copy number alterations showed evidence of subclonal emergence of copy number aberrations implicating chromosomes 5, 8,16,18, 20, 21. This suggests that in these patients late stage tumor development and metastatic dissemination is further shaped by accrual of CNAs. Mutational processes using WGS: Signature analysis was performed by deconvolution of observed WGS mutations on the set of mutational signatures reported by Alexandrov et al. Consistent with previous reports, Signature 9 was identified as the dominant mutation signature, contributing to a median of 27% of all mutations in our cohort. Signature 9 is related to AID and has been previously implicated in early myeloma pathogenesis. Whilst canonical IGH translocations were not identified in Patient 1 or 2, Patient 1 showed evidence for chromoplexy with closed chain translocations having breakpoints spanning chromosomes 1, 4, 11, 16, 17, 19 across all 4 sites. Patient 2 presented with localised hypermutation on chromosomes 1, 5 and 22 which are shared between the 2 sites. These results suggest that subsequent clonal sweeps have acted upon the genome since disease initiation. Conclusion Preliminary data from multi-region WGS of the evolutionary end-stage in MM shows a single dominant clone with known driver events in each patient. This is in contrast to the subclonal heterogeneity characteristic of early disease, and presents opportunities for targeted therapies. Our observations are consistent with convergent evolution, where selective pressure from many years of therapy results in a relatively homogenous genomic landscape. A larger cohort of samples will ascertain patterns of biological processes we present here. These early investigations provides new insights on MM pathogenesis and metastatic dissemination. Disclosures Landgren: Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Research Funding; Karyopharm: Consultancy; Pfizer: Consultancy; Merck: Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Lesokhin:Genentech: Research Funding; Serametrix, inc.: Patents & Royalties: Royalties; Janssen: Research Funding; Takeda: Consultancy, Honoraria; Squibb: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding.
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Maclachlan, Kylee H., Tina Bagratuni, Efstathios Kastritis, Bachisio Ziccheddu, Sydney X. Lu, Venkata D. Yellapantula, Christopher Famulare i in. "The Genomic Landscape of Waldenström Macroglobulinemia Reveals Sustained Germinal Center Activity and Late-Developing Copy Number Aberrations". Blood 138, Supplement 1 (5.11.2021): 2394. http://dx.doi.org/10.1182/blood-2021-148095.
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Abstract The genomic landscape of Waldenström Macroglobulinemia (WM) is characterized by recurrent somatic mutations in MYD88, with a lower incidence of mutations affecting CXCR4, ARID1A, CD79B and the NFKB signaling pathway (Hunter et. al. Blood 2014). We aimed to characterize the relationship between single base substitutions (SBS), mutational signatures, copy number aberrations (CNA) and structural variants (SV) in WM. We performed whole genome sequencing (WGS) on 14 primary samples from WM patients at various clinical stages, including IgM monoclonal gammopathy (n=1), smoldering (n=5), newly diagnosed (n=7) and relapsed WM (n=1). We identified a median of 2806 clonal SBS per sample (IQR 1870-3079), and 12/14 (85%) samples harbored MYD88 mutations. To investigate which mutational processes are involved in shaping the genomic landscape of WM we performed a mutational signature analysis. Four previously reported SBS signatures were detected: SBS1 and SBS5 (aging), SBS9 (germinal center; GC) and SBS8, with the contribution of age-related signatures SBS1/SBS5 being directly correlated with age at presentation (R 2=0.44, p=0.014). The GC signature SBS9 demonstrated sustained GC activity, as evidenced by the same proportion of mutations attributable to SBS9 at both the clonal and subclonal level (24%). At the immunoglobulin loci, we observed evidence of clustered SBS84 (AID), reflecting somatic hypermutation, with SBS84 accounting for 30% of signature contribution from subclonal mutations. Overall, these data suggest that, similarly to MM and other hematological malignancies, the interaction between WM and the GC is sustained over time. We have previously demonstrated that SV and complex events are critical in the pathogenesis and clinical outcomes of multiple myeloma. In contrast, in this WM WGS cohort, we found a low prevalence of complex SV, with no chromothripsis detected, and a single chromoplexy event found in 3 patients (21%), all of whom had progressed to symptomatic WM. To explore WM CNA features in a larger cohort, we examined the WGS data together with 38 MYD88-mutated WM samples for which targeted sequencing was available (MSK-IMPACT-Heme 400 gene panel). In this combined dataset (n=52), GISTIC analysis identified significantly deleted regions at 6q16.1, 7q34, 17p13.1 (TP53) and 21q22.2, along with significant amplification at 6p22.1 (HLA-A). To better characterize the HLA loci using the loss of heterozygosity in human leukocyte antigen (LOHHLA) tool (McGranahan et. al. Cell 2017) we found the presence of HLA-specific loss of heterozygosity in 1 sample, while 4 samples had HLA CN >2.5 (all from patients who progressed to symptomatic WM). CNA analysis demonstrated that while some samples harbored typical CNA features, others had minimal changes, with MGUS / smoldering WM samples having less CNA compared with those who progressed to symptomatic WM. The 2 MYD88 wild type WGS contained a clonal gain affecting chromosome 12, which is typically an early event in chronic lymphocytic leukemia. Molecular time analysis (the corrected ratio between duplicated and non-duplicated clonal mutations within large chromosomal gains [Maura et al. Nat Comm 2019]) demonstrated that these 2 chromosomal gain events occurred early in cancer development (relative timing <0.5), while multiple other CNA changes occurred later in the disease course (timing >0.5) and tended to be subclonal. This data suggests that, while MYD88-mutations are central to WM clone establishment and can be observed in precursor disease, CNA may contribute to later phases and disease progression. In summary, WGS in WM allows the demonstration that germinal center activity is sustained over time. CNA in WM are not random in distribution, with specific loci being significantly amplified or deleted, and a potential role for HLA CNA. In contrast to MYD88 mutations, which are carried by stable precursor patients, the subclonal status and late molecular time of most CNA changes suggest a late role in cancer progression. Disclosures Kastritis: Pfizer: Consultancy, Honoraria, Research Funding; Takeda: Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Genesis Pharma: Honoraria; Amgen: Consultancy, Honoraria, Research Funding. Diamond: Sanofi: Honoraria; Medscape: Honoraria. Kazandjian: Arcellx: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees. Papaemmanuil: Isabl Technologies: Divested equity in a private or publicly-traded company in the past 24 months; Kyowa Hakko Kirin Pharma: Consultancy. Dogan: Roche: Consultancy, Research Funding; Seattle Genetics: Consultancy; EUSA Pharma: Consultancy; Peer View: Honoraria; Takeda: Consultancy, Research Funding; Physicians' Education Resource: Honoraria. Lesokhin: Trillium Therapeutics: Consultancy; Serametrix, Inc: Patents & Royalties; Genetech: Research Funding; Iteos: Consultancy; bristol myers squibb: Research Funding; Behringer Ingelheim: Honoraria; pfizer: Consultancy, Research Funding; Janssen: Honoraria, Research Funding. Landgren: Janssen: Other: IDMC; Janssen: Honoraria; Celgene: Research Funding; Amgen: Honoraria; Janssen: Research Funding; Amgen: Research Funding; Takeda: Other: IDMC; GSK: Honoraria. Palomba: Rheos: Honoraria; Pluto: Honoraria; Lygenesis: Honoraria; Ceramedix: Honoraria; Seres: Honoraria, Other: Stock, Patents & Royalties, Research Funding; Nektar: Honoraria; PCYC: Consultancy; Wolters Kluwer: Patents & Royalties; Notch: Honoraria, Other: Stock; Priothera: Honoraria; Kite: Consultancy; Novartis: Consultancy; Magenta: Honoraria; WindMIL: Honoraria; BeiGene: Consultancy; Juno: Patents & Royalties. Maura: OncLive: Honoraria; Medscape: Consultancy, Honoraria. Dimopoulos: Amgen: Honoraria; BMS: Honoraria; Janssen: Honoraria; Takeda: Honoraria; BeiGene: Honoraria.
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Samur, Mehmet K., Marco Roncador, Anil Aktas-Samur, Mariateresa Fulciniti, Abdul Hamid Bazarbachi, Raphael Szalat, Masood A. Shammas i in. "High-Dose Melphalan Significantly Increases Mutational Burden in Multiple Myeloma Cells at Relapse: Results from a Randomized Study in Multiple Myeloma". Blood 136, Supplement 1 (5.11.2020): 4–5. http://dx.doi.org/10.1182/blood-2020-139014.
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We recently shown that high-dose melphalan (HDM) followed by autologous stem cell transplant (ASCT) as first line therapy in young (<66 yrs) multiple myeloma (MM) patients significantly improves progression-free survival (IFM/DFCI 2009 study). However, the impact of alkylating agent melphalan inducing N-alkylpurine-monoadducts forming interstrand crosslinks (ICLs) in surviving myeloma cells remains an important biological question. We here profiled samples from the IFM/DFCI 2009 study, where patients were randomized to RVD+HDM vs RVD alone, to identify genomic changes induced by HDM and observed at relapse. We analyzed paired purified MM cells collected at diagnosis and at relapse from 68 patients using deep (75X) whole genome sequencing. Forty-five patients were treated with RVD only, while 23 patients received RVD followed by HDM. There was no significant difference between the 2 groups in regard to disease characteristics including sex, age, cytogenetic risk, and best response. Median follow-up was similar (29 vs 31 months, respectively), removing longer follow up as a confounding variable. The number of mutations at diagnosis was similar on both arms (7137 [IQR=3742] vs. 7230 [IQR=3702], p value = 0.67). Although mutational load increased in both arms; there was a significantly higher increase in number of mutations and indels in the HDM arm compared to RVD alone (mutations 5686 vs 1745, p=1.4e-5; and indels 467 vs 360, p= 0.02, respectively). Using a model incorporating number of new mutations, depth, and purity, we found that HDM causes a 4.1 fold higher mutation accumulation rate per month than RVD only (158.3 vs 38.3 mutations/ month; p=0.003). Importantly, newly acquired mutations were localized to regions which overlap with transcribed regions, and accumulated at significantly higher rate in the HDM group (p=0.009). In contrast, we did not observe any significant changes in copy number alterations (CNAs) and structural variants, including translocations, between both arms. A significant change in frequency of driver mutations including RAS/RAF, FAM46C, TP53, and DIS3 was not observed at the time of relapse. Clonality level was increased only for KRAS (p=0.054), while all other specific driver genes had similar clonality level at diagnosis and relapse. Interestingly, a significant increase in mutations involving MYO16 and SLC7A8 genes was observed at relapse in both arms, implicating components of the induction regimen (RVD). Investigating the mutational signature utilization in only newly acquired mutations identified 4 signatures: APOBEC, HR Double Strand Repair, clock-like signature, and unknown. k-means clustering analysis of samples based on signature utilization showed four distinct clusters. All patients clustering with high DNA repair signature utilization were in the HDM arm (65% HDM patients), the majority of whom achieved CR or sCR (74%); these patients acquired 8308 (range 3302-19107) new mutations between diagnosis and relapse. None of the RVD only treated patients were in this cluster. The remaining 35% HDM group patients were clustered with RVD samples and showed unknown signature utilization. Furthermore, motif enrichment analysis identified CYWR and ATGAGATV (p < 1e-130) as enriched motifs around the new mutations in HDM compared to RVD cohort. Importantly and as expected, DNA damage repair pathway genes were frequently targeted in the HDM group: 72% HDM samples accumulated DDR gene mutations vs. only 17% in the RVD alone arm (p < 0.001). At the time of relapse, 100% HDM arm patients had at least one DDR gene mutation and 80% had two or more, while only 37% RVD only group had one or more such mutation. Finally, we have reconstructed phylogenetic and evolutionary trajectories based on mutation and copy-number data from samples at diagnosis and relapse. The clonal composition in both arms was similar at diagnosis; however, HDM caused a significant shift to more subclonal mutations at relapse. chromothripsis and chromoplexy events were detected in 30% patients at diagnosis, which remained constant at relapse regardless of treatment. In summary, we describe significant accumulation of mutations following high dose melphalan. This fundamental molecular change in the disease at relapse, suggests the need for reappraisal of the optimal use and sequencing of high dose melphalan in the era of novel agents. Disclosures Fulciniti: NIH: Research Funding. Richardson:Celgene/BMS, Oncopeptides, Takeda, Karyopharm: Research Funding. Thakurta:Oxford University: Other: visiting professor; Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Perrot:Amgen, BMS/Celgene, Janssen, Sanofi, Takeda: Consultancy, Honoraria, Research Funding. Moreau:Sanofi: Consultancy, Honoraria; Celgene/Bristol-Myers Squibb: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Takeda: Honoraria; Novartis: Honoraria; Abbvie: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. Anderson:Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Oncopep and C4 Therapeutics.: Other: Scientific Founder of Oncopep and C4 Therapeutics.; Sanofi-Aventis: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Millenium-Takeda: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees. Parmigiani:Phaeno Biotehnologies: Current equity holder in publicly-traded company; CRA Health: Current equity holder in publicly-traded company; Foundation Medicine Institute: Consultancy; Delphi Diagnostics: Consultancy; BayesMendel Laboratory: Other: Co-lead. Munshi:Amgen: Consultancy; AbbVie: Consultancy; Karyopharm: Consultancy; Takeda: Consultancy; Adaptive: Consultancy; Janssen: Consultancy; C4: Current equity holder in private company; OncoPep: Consultancy, Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties; BMS: Consultancy; Legend: Consultancy.
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Blaney, Patrick, Eileen M. Boyle, Yubao Wang, Hussein Ghamlouch, Jinyoung Choi, Louis Williams, Stoeckle James i in. "Multiomic Mapping of Copy Number and Structural Variation on Chromosome 1 (Chr1) Highlights Multiple Recurrent Disease Drivers". Blood 138, Supplement 1 (5.11.2021): 721. http://dx.doi.org/10.1182/blood-2021-148439.
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Abstract Introduction Copy number abnormalities (CNA) and structural variants (SV) are crucial to driving cancer progression and in multiple myeloma (MM). Chr1 CNA are seen in up to 40% of cases and associate with poor prognosis. Variants include deletions, gains, translocations and complex SV events such as chromothripsis (CT), chromoplexy (CP) and templated insertions (TI) which result in aberrant transcriptional patterns. Abnormal expression of genes on chr1 lead to the adverse clinical outcome and studies focussed on 1p12, 1p32.3 and 1q12-21 identified potential causal genes including TENT5C, CDKN2C, CKS1B, PDZK1, BCL9, ANP32E, ILF2, ADAR, MDM2 and MCL1 but none fully explain the clinical behavior. To address this deficiency and to relate chromatin structure to gene deregulation we present a multiomic bioinformatic analysis of SV, CNA, mutation and expression changes in relation to the chromatin structure of chr1. Methods We analysed data derived from 1,154 CoMMpass trial patients. We analyzed 972 NDMM patients with whole exome for mutations, and 752 whole genomes for copy number, translocations, complex rearrangements such as CP, CT and TI as previously described. Using GISTIC 2.0, we identified hotspots of CNA. This information was then analyzed in conjunction to the RNA-seq data derived from 643 patients to determine the aberrant transcriptional landscape of chr1. Using HiC data derived from U266 MM cell line, we associated these changes with TAD structures, A/B compartments, and histone marks along chr1, to gene expression changes, and recurrent SV. Using the cell line dependency map for CRISPR knockdown of the gene set on chr1 derived from 20 MM cell lines we related cell viability to chr1 copy number status. Results We identified 7 hotspots of deletion, 9 of gain, 3 of CT and 2 of templated-insertion across chr1. We mapped these regions to epigenetic plots and show that gained regions are hypomethylated compared to the rest of chr1 (Wilcoxon, p=0.0002). Overall 69% of gain(1q) and 45% of the non-gained hotspots were in A compartments (χ 2=11, p=0.0009) and had an overall higher compartment score (p=0.01).The recurrent regions of loss on 1p confirm the clinical relevance of this region. The critical importance of TENT5C, CDKN2C and RPL5 is identified by the impact of deletion, mutation and the rearrangement of superenhancers. Further this convergence of multiple oncogeneic mechanisms to a single locus points to a number of novel candidate drivers including FUB1 and NTRK1.We provide important new information on 1q21.1-1q25.2 encompassing 145-180Mb a transcriptionally dense region containing 6 GISTIC 2.0 hotspots of gain (G2-G7). The hotspots occur within TAD structures that correlate upregulation of known drivers listed above and also identified novel potential upregulated drivers including POU2F1, a transcription factor, CREG1, an adenovirus E1A protein that both activates and represses gene expression promoting proliferation and inhibiting differentiation (G6) and BTG2 a G1/S transition regulator (G8). These data for copy number gain provides strong evidence for the prognostic relevance of of multiple drivers within deregulated TADs rather than single candidate genes. It also highlights the importance of the chromatin structure of Chr1 in the generation of these events.Using dependency map CRISPR data we identified 320 essential genes for at least one cell line (>1). A common set of 31 genes were identified including 3 proteasome subunits (PSMA5, PSMB2, PSMB4), three regulators of ubiquitin-protein transferase activity (RPL5, RPL11, CDC20), splicing (SF3B4, SF3A3, SFPQ, RNPC3, SRNPE, PRPF38A, PRPF38B) and DTL. A common dependency for 1q+ or 1p- was not identified but a number of dependencies were identified in more than one cell line including UQCRH, SLCA1, CLSPN in 1p- cell lines and IPO9, PPIAL4G, and MRPS2 in 1q+. Conclusion We present an elegant anatomic map of chr1 at the genetic and epigenetic levels providing an unprecedented level of resolution for the relationships of structural variants to epigenetic, expression and mutation status. The analysis highlights the importance of active chromatin in gene deregulation by SV and CNA where the importance of multiple gene deregulation within TAD structures is critical to MM pathogenesis. The implications are that we could improve prognostic assignment and identify new targets for therapy by further characterizing these relationships. Figure 1 Figure 1. Disclosures Braunstein: Jansen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive: Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Membership on an entity's Board of Directors or advisory committees; Epizyme: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees. Davies: Takeda: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Constellation: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene/BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees.
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Diamond, Benjamin, Bachisio Ziccheddu, Eileen M. Boyle, Kylee H. Maclachlan, Juan Arango Ossa, Justin Taylor, Justin Watts i in. "Chemotherapy-Related Mutational Signatures Reveal the Origins of Therapy-Related Myeloid Neoplasms". Blood 138, Supplement 1 (5.11.2021): 3271. http://dx.doi.org/10.1182/blood-2021-145927.
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Abstract Background: Patients treated with cytotoxic chemotherapies and/or autologous stem-cell transplantation (ASCT) are at risk for therapy-related myeloid neoplasms (tMN). As these agents yield increased mutation burden in relapsed malignancies and leave evidence of exposure via mutational signatures, we studied the genomic and temporal relationship between chemo exposure and progression of clonal hematopoiesis (CH) to tMN. Methods: We analyzed 32 tMN whole genomes (WG) from 31 patients [27 acute myeloid leukemias (AML), 4 myelodysplastic syndromes]. For 7 patients with tMN post-high-dose melphalan/ASCT, we investigated the presence of antecedent CH using targeted sequencing (MSK-IMPACT; Bolton et al. Nat Gen 2020) on pre-melphalan blood mononuclear cells, granulocytes, or CD34+ apheresis samples. Results: TMN was diagnosed a median of 4.2 years (IQR, 2.6-6.6) following primary treatment. When compared to data from 200 de novo AML from TCGA (NEJM, 2013), tMNs had fewer mutations in FLT3 (9.7% v 28.0%; p = 0.028) and NPM1 (3.2% v 27.0%; p = 0.003). TP53 loss was enriched in tMNs (25.8% v 10.5%; p = 0.035 ). Mutational signature analysis revealed 5 known single base substitution (SBS) signatures in tMN: the hematopoietic stem-cell (SBS-HSC), aging (SBS1), melphalan (SBS-MM1), and platinum signatures (E-SBS1, E-SBS20) (Rustad et al. Nat Comm 2020, Pich et al. Nat Gen 2019). Complex structural variants (SV), defined as ≥3 breakpoint pairs involved in simultaneous copy number changes (Rustad et al. Blood Can Disc 2020), were observed in 7 tMNs; including chromothripsis in 6 tumors (19.4%), chromoplexy in 2 (6.5%), templated insertion in 1 (3.2%), and unspecified complex SV in 2 (6.5%). Chromothripsis has not been previously reported in de novo AML and, in 4 cases, involved chromosome 19 with hyper-amplification of the SMARCA4 locus (≥5 copies). CH variants that became clonal in tumor were seen in 5/7 pre-melphalan/ASCT samples and included mutations in TP53, RUNX1, NCOR1, NF1, CREBBP, DNMT3A, and PPM1D. Chemotherapy introduces hundreds of mutations, leaving each exposed cell with a unique catalogue (i.e., barcode). In fact, TMNs with evidence of chemo signatures had a higher mutation burden (median 1574 single nucleotide variants) than those without (median 938; p = 0.004). Detection of chemo signatures in bulk genome sequencing relies on one cell, with its catalogue of mutations, to expand to clonal dominance (Fig 1a, Landau et al. Nat Comm 2020). Given the long latency between exposure and tMN diagnosis, this single-cell expansion model was expected for all samples exposed to melphalan or platinum-based regimens (i.e., agents with a measurable signature). Strikingly, all patients with pre-tMN platinum exposure (n=7) had evidence of platinum SBS signatures whereas only 2 of 7 patients with prior melphalan/ASCT had a melphalan signature (SBS-MM1). As all platinum-exposed tMN had mutational evidence of exposure, a CH clone must have existed prior to exposure, supporting a single-cell expansion model. Absence of a chemo signature for 5/7 post-melphalan/ASCT tumors despite exposure implies tumor progression driven either by multiple clones in parallel (Fig 1b) or by an unexposed clone. As latency largely excludes the former, this suggests pre-tMN CH clones were re-infused during SCT, thus avoiding chemo exposure (Fig 1c). This is supported by two lines of evidence: 1) tMNs from 2 patients exposed to sequential platinum and melphalan/ASCT had platinum but not melphalan signatures confirming single-cell expansion of the pre-tMN CH clone post-platinum but with escape from exposure to melphalan in the ASCT (Fig 1d); 2) targeted sequencing of pre-tMN samples from melphalan/ASCT patients identified tMN genomic mutations at the CH level in 5/7 cases, including in all 3 tested apheresis samples - one of which (TP53) expanded to dominance without a melphalan signature. Conclusion: WG sequencing identified novel features of tMN revealing the key driver role of complex SV. Mutational signature analyses and targeted sequencing of pre-tMN samples can increase our understanding of tMN pathogenesis and demonstrate that tMNs arising post-ASCT are often driven by CH clones that re-engraft after escaping melphalan exposure. This mode of expansion suggests that a permissive, immunosuppressed, post-transplant environment might play a more important role than chemotherapy-induced mutagenesis in tMN pathogenesis. Figure 1 Figure 1. Disclosures Diamond: Sanofi: Honoraria; Medscape: Honoraria. Watts: Rafael Pharmaceuticals: Consultancy; Genentech: Consultancy; Bristol Myers Squibb: Consultancy; Takeda: Consultancy, Research Funding; Jazz Pharmaceuticals: Consultancy; Aptevo Therapeutices: Research Funding. Kazandjian: Arcellx: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees. Bradley: AbbVie: Consultancy, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Bolli: Amgen: Honoraria; Takeda: Honoraria; Janssen: Consultancy, Honoraria; Celgene/BMS: Consultancy, Honoraria. Papaemmanuil: Isabl Technologies: Divested equity in a private or publicly-traded company in the past 24 months; Kyowa Hakko Kirin Pharma: Consultancy. Scordo: Kite - A Gilead Company: Membership on an entity's Board of Directors or advisory committees; i3 Health: Other: Speaker; Omeros Corporation: Consultancy; Angiocrine Bioscience: Consultancy, Research Funding; McKinsey & Company: Consultancy. Lahoud: MorphoSys: Membership on an entity's Board of Directors or advisory committees. Stein: Jazz Pharmaceuticals: Consultancy; Foghorn Therapeutics: Consultancy; Blueprint Medicines: Consultancy; Gilead Sciences, Inc.: Consultancy; Abbvie: Consultancy; Janssen Pharmaceuticals: Consultancy; Genentech: Consultancy; Celgene: Consultancy; Bristol Myers Squibb: Consultancy; Agios Pharmaceuticals, Inc: Consultancy; Novartis: Consultancy; Astellas: Consultancy; Syndax Pharmaceuticals: Consultancy; PinotBio: Consultancy; Daiichi Sankyo: Consultancy; Syros Pharmaceuticals, Inc.: Consultancy. Sauter: Precision Biosciences: Consultancy; Kite/Gilead: Consultancy; Bristol-Myers Squibb: Research Funding; GSK: Consultancy; Gamida Cell: Consultancy; Celgene: Consultancy, Research Funding; Genmab: Consultancy; Novartis: Consultancy; Spectrum Pharmaceuticals: Consultancy; Juno Therapeutics: Consultancy, Research Funding; Sanofi-Genzyme: Consultancy, Research Funding. Hassoun: Celgene, Takeda, Janssen: Research Funding. Mailankody: Bristol Myers Squibb/Juno: Research Funding; Physician Education Resource: Honoraria; Plexus Communications: Honoraria; Takeda Oncology: Research Funding; Jansen Oncology: Research Funding; Fate Therapeutics: Research Funding; Allogene Therapeutics: Research Funding; Legend Biotech: Consultancy; Evicore: Consultancy. Korde: Medimmune: Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding. Hultcrantz: Daiichi Sankyo: Research Funding; Intellisphere LLC: Consultancy; Curio Science LLC: Consultancy; GlaxoSmithKline: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Research Funding. Shah: Bristol Myers Squibb: Research Funding; Janssen: Research Funding. Shah: Janssen Pharmaceutica: Research Funding; Amgen: Research Funding. Park: Servier: Consultancy; Affyimmune: Consultancy; Autolus: Consultancy; Minerva: Consultancy; PrecisionBio: Consultancy; BMS: Consultancy; Novartis: Consultancy; Kura Oncology: Consultancy; Curocel: Consultancy; Artiva: Consultancy; Innate Pharma: Consultancy; Intellia: Consultancy; Amgen: Consultancy; Kite Pharma: Consultancy. Landau: Genzyme: Honoraria; Takeda, Janssen, Caelum Biosciences, Celgene, Pfizer, Genzyme: Membership on an entity's Board of Directors or advisory committees; Takeda: Research Funding. Sekeres: BMS: Membership on an entity's Board of Directors or advisory committees; Takeda/Millenium: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees. Ho: Blueprint Medicine: Membership on an entity's Board of Directors or advisory committees. Roshal: Celgene: Other: Provision of services; Auron Therapeutics: Other: Ownership / Equity interests; Provision of services; Physicians' Education Resource: Other: Provision of services. Lesokhin: pfizer: Consultancy, Research Funding; Janssen: Honoraria, Research Funding; Iteos: Consultancy; Serametrix, Inc: Patents & Royalties; Genetech: Research Funding; Trillium Therapeutics: Consultancy; bristol myers squibb: Research Funding; Behringer Ingelheim: Honoraria. Morgan: BMS: Membership on an entity's Board of Directors or advisory committees; Jansen: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees. Landgren: Janssen: Other: IDMC; Janssen: Research Funding; Amgen: Honoraria; Celgene: Research Funding; Janssen: Honoraria; Amgen: Research Funding; Takeda: Other: IDMC; GSK: Honoraria. Maura: OncLive: Honoraria; Medscape: Consultancy, Honoraria.
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Dermawan, Josephine K., Emily Slotkin, William D. Tap, Paul Meyers, Leonard Wexler, John Healey, Fabio Vanoli, Chad M. Vanderbilt i Cristina R. Antonescu. "Chromoplexy is a frequent early clonal event in EWSR1-rearranged round cell sarcomas that can be detected using clinically validated targeted sequencing panels". Cancer Research, 9.02.2024. http://dx.doi.org/10.1158/0008-5472.can-23-2573.
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Abstract Chromoplexy is a phenomenon defined by large-scale chromosomal chained rearrangements. A previous study observed chromoplectic events in a subset of Ewing sarcomas (ES), which was linked to an increased relapse rate. Chromoplexy analysis could potentially facilitate patient risk stratification, particularly if it could be detected with clinically applied targeted next-generation sequencing (NGS) panels. Using DELLY, a structural variant (SV) calling algorithm that is part of the MSK-IMPACT pipeline, we characterized the spectrum of SVs in EWSR1-fused round cell sarcomas, including 173 ES and 104 desmoplastic small round cell tumors (DSRCT), to detect chromoplexy and evaluate its association with clinical and genomic features. Chromoplectic events were detected in 31% of the ES cases and 19% of the DSRCT cases. EWSR1 involvement accounted for 76-93% of these events, being rearranged with diverse non-canonical gene partners across the genome, involving mainly translocations but also intrachromosomal deletions and inversions. A major breakpoint cluster was located on EWSR1 exons 8-13. In a subset of cases, the SVs disrupted adjacent loci, forming deletion bridges. Longitudinal sequencing and breakpoint allele fraction analysis showed that chromoplexy is an early event that remains detectable throughout disease progression and likely develops simultaneously with the driver fusion. The presence of chromoplexy was validated in an external ES patient cohort with whole exome sequencing. Chromoplexy was significantly more likely to be present in cases that were metastatic at presentation. Together, this study identifies chromoplexy as a frequent genomic alteration in diverse EWSR1-rearranged tumors that can be captured by targeted NGS panels.
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"Ewing Sarcoma Gene Fusions Can Be Generated via Chromoplexy". Cancer Discovery 8, nr 10 (7.09.2018): 1208.1–1208. http://dx.doi.org/10.1158/2159-8290.cd-rw2018-153.
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Lopez, Gonzalo, Laura E. Egolf, Federico M. Giorgi, Sharon J. Diskin i Adam A. Margolin. "svpluscnv: analysis and visualization of complex structural variation data". Bioinformatics, 14.10.2020. http://dx.doi.org/10.1093/bioinformatics/btaa878.
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Abstract Motivation Despite widespread prevalence of somatic structural variations (SVs) across most tumor types, understanding of their molecular implications often remains poor. SVs are extremely heterogeneous in size and complexity, hindering the interpretation of their pathogenic role. Tools integrating large SV datasets across platforms are required to fully characterize the cancer’s somatic landscape. Results svpluscnv R package is a swiss army knife for the integration and interpretation of orthogonal datasets including copy number variant segmentation profiles and sequencing-based structural variant calls. The package implements analysis and visualization tools to evaluate chromosomal instability and ploidy, identify genes harboring recurrent SVs and detects complex rearrangements such as chromothripsis and chromoplexia. Further, it allows systematic identification of hot-spot shattered genomic regions, showing reproducibility across alternative detection methods and datasets. Availability and implementation https://github.com/ccbiolab/svpluscnv. Contact gonzalo.lopezgarcia@mssm.edu Supplementary information Supplementary data are available at Bioinformatics online.
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Li, Dong, Alanna Strong, Cuiping Hou, Helen Downes, Amanda Barone Pritchard, Pamela Mazzeo, Elaine H. Zackai, Laura K. Conlin i Hakon Hakonarson. "Interstitial deletion 4p15.32p16.1 and complex chromoplexy in a female proband with severe neurodevelopmental delay, growth failure and dysmorphism". Molecular Cytogenetics 15, nr 1 (5.08.2022). http://dx.doi.org/10.1186/s13039-022-00610-4.
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AbstractComplex chromosomal rearrangements involve the restructuring of genetic material within a single chromosome or across multiple chromosomes. These events can cause serious human disease by disrupting coding DNA and gene regulatory elements via deletions, duplications, and structural rearrangements. Here we describe a 5-year-old female with severe developmental delay, dysmorphic features, multi-suture craniosynostosis, and growth failure found to have a complex series of balanced intra- and inter-chromosomal rearrangements involving chromosomes 4, 11, 13, and X. Initial clinical studies were performed by karyotype, chromosomal microarray, and FISH with research-based short-read genome sequencing coupled with sanger sequencing to precisely map her breakpoints to the base pair resolution to understand the molecular basis of her phenotype. Genome analysis revealed two pathogenic deletions at 4p16.1-p15.32 and 4q31.1, accounting for her developmental delay and dysmorphism. We identified over 60 breakpoints, many with blunt ends and limited homology, supporting a role for non-homologous end joining in restructuring and resolution of the seminal chromoplexy event. We propose that the complexity of our patient’s genomic rearrangements with a high number of breakpoints causes dysregulation of gene expression by three-dimensional chromatin interactions or topologically associating domains leading to growth failure and craniosynostosis. Our work supports an important role for genome sequencing in understanding the molecular basis of complex chromosomal rearrangements in human disease.