Добірка наукової літератури з теми "Cancer, p53, lncRNA, non-coding RNA"

Abstract Long non-coding RNAs (lncRNAs) are involved in controlling regulatory networks critical for gene expression, cellular growth, and development. Altered expression of lncRNAs are associated with tumor progression in multiple types of human cancers, but the mechanisms by which lncRNAs may control growth and proliferation in cancer cells remain unknown in most cases. Development of interventions targeting non-coding RNA regulation of cell growth would open new avenues for cancer treatment. To identify growth regulatory pathways controlled by non-coding RNAs, we used proteomics and genomics tools to study the effect of changes in lncRNA expression levels in human cancer cell lines. First, we identified five growth regulator lncRNAs based on data mining of CRISPR/Cas9 screens and high throughput sequencing studies from patient tumor and normal cells. These lncRNAs have been associated with progression and metastasis in breast, lung and colon cancers. We hypothesized that growth regulator lncRNAs play a role in cancer development by recruiting effector proteins to regulate gene expression. Next, we evaluated the cellular growth phenotype for each lncRNA in overexpression and knockdown strains using multiple established cancer cell lines. We analyzed cellular transcriptome changes after lncRNA perturbation using high-throughput RNA sequencing. Finally, RNA-protein interactions for each growth regulator lncRNA were identified using an RNA hybridization capture method paired with mass spectrometry that enables purification of direct and specific endogenous RNA-binding proteins. Using this combination of transcriptomics and proteomics data, we discovered that perturbation of growth regulator lncRNAs results in dysregulation of growth signaling pathways and increased expression of p53. We are currently identifying the sequence and structure determinants of RNA-protein complex formation to uncover the mechanisms of action of lncRNAs in controlling cancer cell growth. Citation Format: Tong Su, Bobby Kong, Calvin Huang, Jonathan Zhu, Colleen McHugh. Long non-coding RNA control of cancer cell growth [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 1533.

e23016 Background: Long non-coding RNAs (LncRNAs) may serve as a biomarker and potential therapeutic target of cancers. Chromosome 16q22.1 is frequently deleted in breast cancer and may contribute to breast carcinogenesis by inactivation of tumor suppressor genes. This study characterized a new LncRNA tumor suppressor in this region, named p53 activating non-coding RNA (PANCR). This LncRNA consists of 1.5kb in length. Methods: Quantitative real-time PCR was used for examine the PANCR expression in breast cancer tissues. RNA-pull down and RNA-Immunopreicitation were used to analyze PANCR targeted protein. Results: Our data showed that PANCR was downregulated in breast cancer cell lines and tissues. In the breast cancer cell lines, PANCR expression appeared reversely correlated with cell malignancy, and in breast cancer tissues, PANCR was downregulated over 2 times in 31(62.0%) of 50 cases compared to adjacent normal breast tissues. In breast cancer cells MCF7 and immortalized human mammary epithelial cells MCF10A, ectopic expression of PANCR induced marked apoptosis, suppressing cell proliferation in culture and tumor growth in xenografts, but in contrast, shRNA–mediated silencing of PANCR promoted cell growth and proliferation. Mechanistic approaches revealed that in both MCF7 and MCF10A cell, PANCR activated p53 and upregulated pro-apoptotic proteins bid and bim and cell cycle inhibitors p21waf/cip1 and p27Kip1. We further found that the PANCR binds to and activates p53 by dissociating the p53-MDM2 complex. We further characterized the functional domain of PANCR that interacts with p53. Conclusions: The LncRNA PANCR located in the deleted Chromosome 16q22.1 region is a novel intracellular p53 activator and tumor suppressor, which may be used as a target for cancer therapy through mimicking its binding domain and activation of p53.

AbstractAimLong non-coding RNAs (lncRNAs) have been identified to regulate cancers by controlling the process of autophagy and by mediating the post-transcriptional and transcriptional regulation of autophagy-related genes. This study aimed to investigate the potential prognostic role of autophagy-associated lncRNAs in colorectal cancer (CRC) patients.MethodsLncRNA expression profiles and the corresponding clinical information of CRC patients were collected from The Cancer Genome Atlas (TCGA) database. Based on the TCGA dataset, autophagy-related lncRNAs were identified by Pearson correlation test. Univariate Cox regression analysis and the least absolute shrinkage and selection operator analysis (LASSO) Cox regression model were performed to construct the prognostic gene signature. Gene set enrichment analysis (GSEA) was used to further clarify the underlying molecular mechanisms.ResultsWe obtained 210 autophagy-related genes from the whole dataset and found 1187 lncRNAs that were correlated with the autophagy-related genes. Using Univariate and LASSO Cox regression analyses, eight lncRNAs were screened to establish an eight-lncRNA signature, based on which patients were divided into the low-risk and high-risk group. Patients’ overall survival was found to be significantly worse in the high-risk group compared to that in the low-risk group (log-rank p = 2.731E-06). ROC analysis showed that this signature had better prognostic accuracy than TNM stage, as indicated by the area under the curve. Furthermore, GSEA demonstrated that this signature was involved in many cancer-related pathways, including TGF-β, p53, mTOR and WNT signaling pathway.ConclusionsOur study constructed a novel signature from eight autophagy-related lncRNAs to predict the overall survival of CRC, which could assistant clinicians in making individualized treatment.

Abstract INTRODUCTION: The p53 tumor suppressor family is classically activated after DNA damage and plays a central role in cell fate decisions. Although, the p53 family activates many of the same genes in response to DNA damage, p73 plays distinct biological functions in development and metastasis. It is likely that p73 activates a unique transcriptional network which is critical for its anti-metastatic and anti-invasive action. Long non-coding RNAs (lncRNAs) are a class of mRNA-like transcripts longer than 200 nucleotides. They lack protein-coding ability and are believed to be involved in various kinds of biological processes. Increasing evidence suggests that lncRNA are frequently aberrantly expressed in cancers. Therefore, the roles of dysregulated functional lncRNA in human malignant tumors have attracted considerable scientific interest. The objective of our study is to find out novel long non-coding RNAs that can act as transcriptional targets of p73 and to delineate their role in p73-mediated anti-metastatic response. METHODS: For this purpose, we performed transcriptome sequencing in HCT116p73wt and HCT116p73KD cells and screened the data for modulation of expression of lncRNAs in differential manner. Quantitative Real Time PCR was further carried out to validate the data obtained after screening RNA seq Data. Promoter analysis was carried out for the identification of p73 binding sites in the selected upregulated or downregulated lncRNAs which was further confirmed by Luciferase reporter, ChIP and site directed mutagenesis assays. RESULTS: About six lncRNAs were observed to be significantly upregulated while four were down-regulated upon knockdown of p73. The promoters of selected lncRNAs were analysed in silico using TF Bind and JASPAR software for p73 binding sites and luciferase reporter assays suggested regulation of lncRNAs by p73. Chromatin immunoprecipitation showed promoter enrichment of the selected lncRNAs. Site directed mutagenesis further confirmed the exact binding sites of p73 onto the promoters of these novel long non coding RNAs. CONCLUSION: Together, our study provides insights into the differential regulation of long non-coding RNAs in p73 dependent manner which further will provide the mechanism of their action at the genome level. Citation Format: Chanchal Bareja, Apoorva Uboveja, Daman Saluja. Elucidating the differential regulation of novel long non coding RNAs and their mechanism of action in p73 dependent manner [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 1560.

Background/Aims: Long non-coding RNAs (lncRNAs) play an important role in tumorigenesis. However, the role of lncRNA expression in human Non-small cell lung cancer (NSCLC) biology, prognosis and molecular classification remains unknown. Methods: We established the IncRNA profile in NSCLC by re-annotation of microarrays from the Gene expression omnibus database. Quantitative real-time PCR was used to determine expression of LINC00342. Results: 6066 differentially expressed IncRNAs were identified and we found a novel IncRNA, LINC00342 was significantly up-regulated in NSCLC tissues compared with normal tissues. We confirmed the over-expression of LINC00342 in a cohort of NSCLC patients and found LINC00342 expression level was positively correlated with lymph node metastasis and TNM stages. Furthermore, in a large online database of 1942 NSCLC patients, high expression of LINC00342 indicated poor Overall survival (HR = 1.28, 95% CI: 1.13-1.45) and post progression survival (HR = 1.43, 95% CI: 1.09-1.88). Bioinformatics analyses showed that LINC00342 was co-expressed with different protein-coding genes in NSCLC and normal tissues. Additionally, gene set enrichment analyses found that PTEN and P53 pathways genes were enriched in the groups with higher LINC00342 expression level. By small interfering RNAs mediated silence of LINC00342, proliferation ability was significantly inhibited in lung cancer cell line. Conclusion: To summary, our findings indicate that a set of IncRNAs are differentially expressed in NSCLC and we characterized a novel IncRNA, LINC00342 which is significantly up-regulated in NSCLC and could be a prognostic biomarker.

Background: Accumulating data suggest that long non-coding RNA (lncRNA) H19 and p53are closely related to the prognosis of lung cancer. This study aims to analyze the association and interaction betweenH19 and mutant p53 R175H in lung adenocarcinoma (LAC). Methods: Mutant-type (Mt) p53 R175H was assessed by using RT-PCR in LAC cells and 100 cases of LAC tissue samples for association with H19 expression. Western blot, RNA-pull down, immunoprecipitation-Western blot and animal experiments were used to evaluate the interaction between H19 and mtp53. Results: Mtp53 R175H and H19 were over-expressed in LAC tissues and cells, while H19 over-expression extended the p53 half-life and enhanced transcriptional activity. Combined with anti-p53, ShH19 can significantly inhibit tumor growth in vivo. Conclusions: H19 over-expression may induce the elevated expression of mtp53 and interact with mtp53, leading to LAC progression. In addition, the high expression of mtp53 R175H is associated with poor overall survival inpatients. The simultaneous inhibition of H19 and mtp53 may provide a novel strategy for the effective control of LAC clinically.

Background: Long intergenic non-coding RNA, regulator of reprogramming ( LINC-ROR) is a newly identified cytoplasmic long non-coding RNA (lncRNA), which has been found to be dysregulated in different cancers. The present work aimed to quantify LINC-ROR expression profile and assess the tumor proteins p53 and caspase 3 expressions in glioblastoma tissue specimens compared to non-cancer tissues, and to correlate these expression levels with the available clinicopathological and survival data. Methods: LINC-ROR relative expression in 57 glioblastoma cancer tissues and 10 non-cancer tissues was quantified by real-time polymerase chain reaction (qPCR). In addition, methylation-specific PCR of O-6-methylguanine-DNA methyltransferase ( MGMT) promoter and immunohistochemical expression of apoptosis related proteins: p53 and caspase 3 were performed. Results: The up-regulation of LINC-ROR was encountered in 89.5% of patients. The higher expression of LINC-ROR was associated with poor disease progression-free and overall survival as well as a younger age of patients ( P=0.036). p53 protein was expressed only in glioblastoma but not in non-cancer tissues while caspase 3 was weakly expressed in most non-cancer tissues and in varying degrees in glioblastoma (24% weak, 30% moderate, and 16% strong expression). The Kaplan–Meier survival plot illustrated poor survival in glioblastoma patients with over-expressed LINC-ROR ( P=0.010) and down-regulated p53 ( P=0.002). Multivariate analysis showed that glioblastoma patients were clustered into two distinct groups based on LINC-ROR expression profile, p53 staining levels and patients’ overall survival. Conclusions: LINC-ROR up-regulation may have a role in glioblastoma tumorigenesis and could be a potential prognostic marker for this fatal disease.

Long non-coding RNAs (lncRNAs) play important roles in gastric cancer (GC), but the mechanism is not fully clear. ERICH3-AS1 (ERICH3 antisense RNA1) is affiliated with the non-coding RNA class which has proven to be involved in the prognostic of GC, but the function of ERICH3-AS1 is still unclear. In this study, we aim to explore the potential function of ERICH3-AS1 in the development of GC and analyze the prognostic role of ERICH3-AS1 in GC. We found that the lncRNA ERICH3-AS1 was significantly up-regulated in GC tissues in the analysis of The Cancer Genome Atlas (TCGA) data; the Kaplan-Meier analysis showed that the higher the expression of ERICH3-AS1 was, the earlier the recurrence and the poorer the prognosis would be in patients. Cox univariate and multivariate analyses revealed that ERICH3-AS1 was a risk factor of disease-free survival (DFS) (p < 0.05) and overall survival (OS) (p < 0.05) of patients. Through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses, it demonstrated that the ERBB pathways, the mitogen-activated protein kinase (MAPK) pathways, the MTOR pathways, p53 pathways and Wnt pathways were differentially enriched in ERICH3-AS1 high expression phenotype. Furthermore, the correlation analysis showed that ERICH3-AS1 had significant correlations with apoptosis-related proteins such as BCL2L10 and CASP14; cell cycle-associated proteins CDK14 and invasion and migration-associated proteins such as MMP20, MMP26 and MMP27. In summary, we identified that increased ERICH3-AS1 might be a potential biomarker for diagnosis and independent prognostic factor of GC. Moreover, ERICH3-AS1 might participate in the oncogenesis and development of tumors via cell cycle and apoptosis pathway mediated by ERBB, MAPK, MTOR, p53 and Wnt pathways.

Abstract Ferroptosis, with iron-dependent and ROS-dependent, is a novel type of cell death in a variety of diseases and some studies confirmed that ferroptosis-related lncRNAs are involved in the occurrence and development of several cancers. However, the ferroptosis-related lncRNA in the role of gliomas is unclear. Here, we constructed a prognostic scoring model of ferroptosis-related lncRNAs in gliomas. Data were downloaded from the Chinese glioma genome atlas (CGGA), the cancer genome atlas, and FerrDb database. In this study, we found 1051 lncRNAs associated with ferroptosis by Spearman's rank correlation analysis in CGGA653, and 547 lncRNAs were related to prognosis in gliomas. Subsequently, we identified 9 ferroptosis-related signatures (AC010729.2, AC062021.1, FAM225B, FAM66C, HOXA-AS2, LINC00662, LINC00665, MIR497HG, and TMEM72-AS1) by least absolute shrinkage and selection operator and Cox proportional hazards model. Next, all glioma patients were divided into high- and low-risk groups based on the median risk score based on these signatures, and the low-risk group had better prognosis significantly than the high-risk group by Kaplan-Meier curve. Moreover, the risk score can predict survival status with high sensitivity and specificity by receiver operating characteristic curve (area under the curve at 1, 3, 5 years: 0.791, 0.84, 0.856, respectively). In addition, some pathways (cell cycle, p53 signaling pathway, apoptosis, and oxidative phosphorylation) significantly enriched in KEGG enrichment pathway, and a nomogram was constructed by integrating some independent prognostic clinicopathological features to predict the overall survival in gliomas (C-index: 0.786). In summary, these 9 ferroptosis-related signatures have potential prognostic value and could be crucial factors for treating malignant gliomas.

Amongst the various gynecological malignancies affecting female health globally, ovarian cancer is one of the predominant and lethal among all. The identification and functional characterization of long non-coding RNAs (lncRNAs) are made possible with the advent of RNA-seq and the advancement of computational logarithm in understanding human disease biology. LncRNAs can interact with deoxyribonucleic acid (DNA), ribonucleic acid (RNA), proteins and their combinations. Moreover, lncRNAs regulate orchestra of diverse functions including chromatin organization and transcriptional and post-transcriptional regulation. LncRNAs have conferred their critical role in key biological processes in human cancer including tumor initiation, proliferation, cell cycle, apoptosis, necroptosis, autophagy, and metastasis. The interwoven function of tumor-suppressor protein p53-linked lncRNAs in the ovarian cancer paradigm is of paramount importance. Several lncRNAs operate as p53 regulators or effectors and modulates a diverse array of functions either by participating in various signaling cascades or via interaction with different proteins. This review highlights the recent progress made in the identification of p53 associated lncRNAs while elucidating their molecular mechanisms behind the altered expression in ovarian cancer tumorigenesis. Moreover, the development of novel clinical and therapeutic strategies for targeting lncRNAs in human cancers harbors great promise.