Academic literature on the topic 'Cancer, IGFBP2, GBM'

Glioblastoma (GBM) is the most common primary malignant brain tumor in adults. The insulin-like growth factor-binding protein (IGFBP) family is involved in tumorigenesis and the development of multiple cancers. However, little is known about the prognostic value and regulatory mechanisms of IGFBPs in GBM. Oncomine, Gene Expression Profiling Interactive Analysis, PrognoScan, cBioPortal, LinkedOmics, TIMER, and TISIDB were used to analyze the differential expression, prognostic value, genetic alteration, biological function, and immune cell infiltration of IGFBPs in GBM. We observed that IGFBP1, IGFBP2, IGFBP3, IGFBP4, and IGFBP5 mRNA expression was significantly upregulated in patients with GBM, whereas IGFBP6 was downregulated; this difference in mRNA expression was statistically insignificant. Subsequent investigations showed that IGFBP4 and IGFBP6 mRNA levels were significantly associated with overall survival in patients with GBM. Functional Gene Ontology Annotation and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis revealed that genes coexpressed with IGFBP4 and IGFBP6 were mainly enriched in immune-related pathways. These results were validated using the TIMER and TSMIDB databases. This study demonstrated that the IGFBP family has prognostic value in patients with GBM. IGFBP4 and IGFBP6 are two members of the IGFBP family that had the highest prognostic value; thus, they have the potential to serve as survival predictors and immunotherapeutic targets in GBM.

Background Prognosis models established using multiple molecular markers in cancer along with clinical variables should enable prediction of natural disease progression and residual risk faced by patients. In this study, multivariate Cox proportional hazards analyses were done based on overall survival (OS) of 100 glioblastoma multiformes (GBMs, 92 events), 49 anaplastic astrocytomas (AAs, 33 events), 45 gliomas with oligodendroglial features, including anaplastic oligodendroglioma (AO, 13 events) and oligodendraglioma (O, 9 events). The modeling included two clinical variables (patient age and recurrence at the time of sample collection) and the expression variables of 13 genes selected based on their proven biological and/or prognosis functions in gliomas ( ABCG2, BMI1, MELK, MSI1, PROM1, CDK4, EGFR, MMP2, VEGFA, PAX6, PTEN, RPS9, and IGFBP2). Gene expression data was a log-transformed ratio of marker and reference ( ACTB) mRNA levels quantified using absolute real-time qRT-PCR. Results Age is positively associated with overall grade (4 for GBM, 3 for AA, 2_1 for AO_O), but lacks significant prognostic value in each grade. Recurrence is an unfavorable prognostic factor for AA, but lacks significant prognostic values for GBM and AO_O. Univariate models revealed opposing prognostic effects of ABCG2, MELK, BMI1, PROM1, IGFBP2, PAX6, RPS9, and MSI1 expressions for astrocytic (GBM and AA) and oligodendroglial tumors (AO_O). Multivariate models revealed independent prognostic values for the expressions of MSI1 (unfavorable) in GBM, CDK4 (unfavorable) and MMP2 (favorable) in AA, while IGFBP2 and MELK (unfavorable) in AO_O. With all 13 genes and 2 clinical variables, the model R 2 was 14.2% ( P= 0.358) for GBM, 45.2% ( P= 0.029) for AA, and 62.2% ( P= 0.008) for AO_O. Conclusion The study signifies the challenge in establishing a significant prognosis model for GBM. Our success in establishing prognosis models for AA and AO_O was largely based on identification of a set of genes with independent prognostic values and application of standardized gene expression quantification to allow formation of a large cohort in analysis.

Previous studies have found that gene expression levels are associated with prognosis and some genes can be used to predict the survival risk of glioblastoma (GBM) patients. However, most of them just built the survival-related gene signature, and personal survival risk can be evaluated only in group. This study aimed to find the prognostic survival related genes of GBM, and construct survival risk prediction model, which can be used to evaluate survival risk by individual. We collected gene expression data and clinical information from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. Cox regression analysis and LASSO-cox regression analysis were performed to get survival-related genes and establish the overall survival prediction model. The ROC curve and Kaplan Meier analysis were used to evaluate the prediction ability of the model in training set and two independent cohorts. We also analyzed the biological functions of survival-related genes by GO and KEGG enrichment analysis. We identified 99 genes associated with overall survival and selected 16 genes (IGFBP2, GPRASP1, C1R, CHRM3, CLSTN2, NELL1, SEZ6L2, NMB, ICAM5, HPCAL4, SNAP91, PCSK1N, PGBD5, INA, UCHL1 and LHX6) to establish the survival risk prediction model. Multivariate Cox regression analysis indicted that the risk score could predict overall survival independent of age and gender. ROC analyses showed that our model was more robust than four existing signatures. The sixteen genes can also be potential transcriptional biomarkers and the model can assist doctors on clinical decision-making and personalized treatment of GBM patients.

20008 Background: Biomarkers in serum has been demonstrated to play a critical role in caner diagnostics. Glioblastoma multiforme (GBM) is a primary brain tumor with poor prognosis and low survival rate, which often has significant heterogeneity in morphology and increased vascular permeability and vessel density. In this study we identified molecules related to angiogenesis and vasculature development for GBM using a combination of contrast enhanced MR imaging, genomic and proteomic analysis, and enzyme immunoassay (ELISA). Methods: GBM patient without any prior procedures were scanned on a GE 1.5T MRI scanner using standard T1- and T2-weighted pulse sequences and gadopentetate dimeglumine as contrast agent. Samples from regions with contrast agent accumulation (contrast-enhancing, CE) and no uptake (non-enhancing, NE) were collected for microarray, Mass spectroscopic analysis and immunochemical staining. Patient serum samples were collected for protein expression quantification using ELISA assay. Results: Tissue samples from the CE and NE regions of 13 patients reveal significantly distinct gene expression patterns. Mass spectroscopy using MALDI system will also be examined. Growth factors such as laminin receptor, IGFBP-2, IGFBP-3, IGFBP-5, aFGF were all up-regulated in the CE regions, and immunohistochemical staining confirmed their protein expression. The presence of proteins with MW < 30 kD in the serum were examined using ELISA. IGFBP-2 showed to have a higher mean value (86.1 ± 29.1 ng/ml) in GBM serum as compared to healthy individuals (55.7 ± 9.9 ng/ml). Other potential markers such as IGFBP-3 and aFGF do not exhibit significant difference. Conclusions: CE-MRI using the clinical MRI agent Gd(DTPA) can reveal imaging features associated with increased vascular permeability and vessel density, and areas of fluid accumulation and necrosis. We have observed that differences in spatial resolution in the tumor correlate to changes in gene expression profiles, resulting in potential molecules that have high gene and protein expression levels in tumor area with high vascular activity and in serum. These targets can be used for diagnostic and clinical monitoring of the patient before and after therapeutic intervention. No significant financial relationships to disclose.

Background. Glioblastoma (GBM) is the most malignant of all known intracranial tumors; meanwhile, most patients have a poor prognosis. In order to improve the poor prognosis of GBM patients as much as possible, it is specifically significant to identify biomarkers related to the gene diagnosis and gene therapy. Methods. In this study, a total of 343 GBM specimens and 259 nontumor specimens were collected from four Gene Expression Omnibus (GEO) datasets and The Cancer Genome Atlas (TCGA) database; then, we analyzed the differentially expressed genes (DEGs) from the above data. Through Venn diagram analysis, 54 common upregulated DEGs and 22 common downregulated DEGs were triumphantly recognized. Results. On the basis of the degree of formation communication in protein-protein interaction network (PPIN), the 10 upregulated central genes were ranked, incorporating LOX, IGFBP3, CD44, TIMP1, FN1, VEGFA, POSTN, COL1A1, COL1A2, and COL3A1. By combining the expression levels and the clinical features of GBM, we found that four hub genes (TIMP1, FN1, POSTN, and LOX) were significantly upregulated and related to poor prognosis of GBM. Meanwhile, univariate and multivariate Cox regression analysis suggested that TIMP1 could be one of the independent prognostic factors for GBM patients. Furthermore, TIMP1 was particularly correlated with the immune marker of macrophage M1, macrophage M2, neutrophils, tumor-associated macrophage, and Tregs. We then analyzed the role of TIMP1 in GBM cancer cell lines by relevant experiments, which indicated that TIMP1 knockdown resulted in the decreased cell proliferation, migration, and invasion. Conclusions. Taken together, these findings demonstrated that TIMP1 might be a new biomarker to determine prognosis and immune infiltration of GBM patients.

ABSTRACT Background: Despite advances in the treatment of glioblastoma (GBM), the prognosis of patients continues to remain dismal. This unfavorable prognosis is mainly attributed to the tumor's propensity for progression and recurrence, which in turn is due to the highly aggressive nature of the persisting GBM cells that actively egress from the main tumor mass into the surrounding normal brain tissue. Such a recurrent tumor described to have a more malignant potential is highly invasive and resistant to current therapies, probably due to increased stemness and preferential selection of therapy-resistant clones of tumor cells. However, there is a paucity of literature on the expression of biomarkers in the recurrent GBM tumors that could have a role in conferring this aggressiveness. Aim: To identify the differences in the expression pattern of selected biomarkers in paired tissue samples of GBM. Material and Methods: A retrospective study on 30 paired samples of GBM (newly diagnosed/primary and recurrent) archived in the Department of Neuropathology, NIMHANS (2006–2009), was carried out. After obtaining clinical and demographic details, tumors were characterized histomorphologically and immunohistochemically on formalin-fixed paraffin-embedded tissues with reference to expression of biomarkers such as p53, epidermal growth factor receptor (EGFR), insulin-like growth factor binding protein 3 (IGFBP-3), sex determining region Y-box 2 (SOX2), and topoisomerase 2 A (Top2A). The results were statistically analyzed. Results: It was observed that while p53 and IGFBP-3 expression remained unaltered in paired samples, a significant increase in the expression of EGFR (P < 0.01) was noted in the recurrent tumors. Among the other biomarkers, SOX2 expression was higher in the recurrent tumors when compared to the primary tumors (P < 0.01). Conversely, the expression of Top2A was reduced in recurrent tumors (P = 0.05). Mild elevation in the expression of IGFBP-3 was observed in recurrent tumors but was not statistically significant. Conclusion: A significant increase in the expression of SOX2 in recurrent tumors probably indicates the presence of undifferentiated cells with stem-like properties in these tumors. EGFR is known to mediate SOX2 expression thereby resulting in stemness of the glioma cancer cells, which could further explain its overexpression in recurrent GBMs. Furthermore, a decreased expression of TOP2A observed in the recurrent tumors could probably be due to reduction in chemosensitivity to temozolomide, which has been shown in earlier studies. We also noted that p53 expression remained unaltered in the recurrent tumors when compared to the primary, suggesting the absence of preferential clonal expansion of p53 mutant cells following exposure to radiochemotherapy. Our study reiterates the fact that GBM recurrences are associated with molecular alterations that probably contribute to radiochemoresistance, increased invasiveness, therapeutic efficacy, and stemness.

Background Glioblastoma multiforme (GBM) is a highly, malignant tumor of the primary central nervous system. Patients diagnosed with this type of tumor have a poor prognosis. Lymphocyte activation plays important roles in the development of cancers and its therapeutic treatments. Objective We sought to identify an efficient lymphocyte activation-associated gene signature that could predict the progression and prognosis of GBM. Methods We used univariate Cox proportional hazards regression and stepwise regression algorithm to develop a lymphocyte activation-associated gene signature in the training dataset (TCGA, n = 525). Then, the signature was validated in two datasets, including GSE16011 (n = 150) and GSE13041 (n = 191) using the Kaplan Meier method. Univariate and multivariate Cox proportional hazards regression models were used to adjust for clinicopathological factors. Results We identified a lymphocyte activation-associated gene signature (TCF3, IGFBP2, TYRO3 and NOD2) in the training dataset and classified the patients into high-risk and low-risk groups with significant differences in overall survival (median survival 15.33 months vs 12.57 months, HR = 1.55, 95% CI [1.28–1.87], log-rank test P < 0.001). This signature showed similar prognostic values in the other two datasets. Further, univariate and multivariate Cox proportional hazards regression models analysis indicated that the signature was an independent prognostic factor for GBM patients. Moreover, we determined that there were differences in lymphocyte activity between the high- and low-risk groups of GBM patients among all datasets. Furthermore, the lymphocyte activation-associated gene signature could significantly predict the survival of patients with certain features, including IDH-wildtype patients and patients undergoing radiotherapy. In addition, the signature may also improve the prognostic power of age. Conclusions In summary, our results suggested that the lymphocyte activation-associated gene signature is a promising factor for the survival of patients, which is helpful for the prognosis of GBM patients.

Deregulation of signalling pathways that regulate cell growth, survival, metabolism, and migration can frequently lead to the progression of cancer. Brain tumours are a large group of malignancies characterised by inter- and intratumoral heterogeneity, with glioblastoma (GBM) being the most aggressive and fatal. The present study aimed to characterise the expression of cancer pathway-related genes (n = 84) in glial tumour cell lines (A172, SW1088, and T98G). The transcriptomic data obtained by the qRT-PCR method were compared to different control groups, and the most appropriate control for subsequent interpretation of the obtained results was chosen. We analysed three widely used control groups (non-glioma cells) in glioblastoma research: Human Dermal Fibroblasts (HDFa), Normal Human Astrocytes (NHA), and commercially available mRNAs extracted from healthy human brain tissues (hRNA). The gene expression profiles of individual glioblastoma cell lines may vary due to the selection of a different control group to correlate with. Moreover, we present the original multicriterial decision making (MCDM) for the possible characterization of gene expression profiles. We observed deregulation of 75 genes out of 78 tested in the A172 cell line, while T98G and SW1088 cells exhibited changes in 72 genes. By comparing the delta cycle threshold value of the tumour groups to the mean value of the three controls, only changes in the expression of 26 genes belonging to the following pathways were identified: angiogenesis FGF2; apoptosis APAF1, CFLAR, XIAP; cellular senescence BM1, ETS2, IGFBP5, IGFBP7, SOD1, TBX2; DNA damage and repair ERCC5, PPP1R15A; epithelial to mesenchymal transition SNAI3, SOX10; hypoxia ADM, ARNT, LDHA; metabolism ATP5A1, COX5A, CPT2, PFKL, UQCRFS1; telomeres and telomerase PINX1, TINF2, TNKS, and TNKS2. We identified a human astrocyte cell line and normal human brain tissue as the appropriate control group for an in vitro model, despite the small sample size. A different method of assessing gene expression levels produced the same disparities, highlighting the need for caution when interpreting the accuracy of tumorigenesis markers.

Abstract Standard aggressive therapy for primary newly diagnosed glioblastoma (GBM), which includes surgical resection followed by concurrent radiation therapy and temozolomide chemotherapy (RT/TMZ) and then maintenance TMZ, is associated with poor survival rates. Adding treatment with AV-GBM-1, a personal vaccine consisting of autologous dendritic cells (DC) pulsed with autologous tumor antigens (ATA) may improve survival. AV-GBM-1 is produced by incubating ATA with autologous DC. ATA are from a lysate of irradiated autologous GBM cells that were self-renewing in serum-free medium with factors that favor survival and proliferation of tumor initiating cells, i.e., stem cells and early progenitor cells. After recovery from RT/TMZ, GBM patients were injected subcutaneously with AV-GBM-1 admixed in granulocyte-macrophage colony-stimulating factor (GM-CSF) at weeks 1, 2, 3, 8, 12, 16, 20, and 24. This study examined changes in plasma proteomics before and after injections of AV-GBM-1. 57 patients were treated during November 2018 to October 2020. Median progression-free and overall survival were 10.3 and 16.0 months respectively. Plasma samples obtained at baseline (week-0), and just prior to the third injection (week-2) were cryopreserved and subsequently analyzed for 448 proteomic markers using quantitative, multiplex enzyme-linked immunosorbent assays (Raybiotech, Inc., Norcross, GA.). 54 patients had a baseline week-0 sample prior to the 1st vaccination; 50 had a week-2 sample just prior to the 3rd dose; 49 had paired samples for both time-points. The averages of paired samples were measured for all patients and for cohorts defined by median survival that were compared by 2-tail T-Tests. After two weekly injections there were significant (p&lt;0.01) increases in thymus and activation-regulated chemokine (TARC, CCL17), chemerin, lipocalin-2 and angiopoietin, and decreases in thrombospondin-5, angiotensinogen, and beta-fibroblast growth factor. The changes in TARC are due to GM-CSF. 25 patients survived more than 15 months and 24 less than 15 months. Prognostic baseline markers associated with longer survival were higher CD14 (p=0.009), higher tissue-inhibitor of metalloproteinases (TIMP-1), and higher insulin growth factor binding proteins (IGFBP) 1 and 2 (p&lt;0.02). The only markers that appeared predictive for survival (p&lt;0.05) based on changes from baseline to week-2 were increased lipocalin-2, associated with longer survival (p=0.0369), and decreased brain-derived neurotrophic factor (BDNF) associated with shorter survival (p=0.0186). Because of the large number of analyses, these results are considered hypothesis generating and not definitive. Citation Format: Daniela A. Bota, David E. Piccioni, Christopher M. Duma, Renato V. LaRoca, Santosh Kesari, Mehrdad Abedi, Robert D. Aiken, Aleksandra J. Poole, Gabriel I. Nistor, Robert O. Dillman. Plasma proteomic markers prognostic or predictive for survival of patients with newly diagnosed glioblastoma who were treated in a phase II trial with standard care and the addition of the novel patient-specific dendritic cell vaccine AV-GBM-1 [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 CT571.

Abstract We previously reported a novel fusion gene PTPRZ1-MET in 15% of secondary GBM (sGBM). Subsequent studies showed that ZM fusion indicates a significantly worse prognosis and promotes glioma progression by increasing MET activity. We have demonstrated hyper-activation of MAPK and STAT3 signaling and elevated angiogenesis activities in patients and subcutaneous tumors with ZM fusion. However, the angiogenesis mechanism regulated by ZM is still unclear. In this study, 66 up-regulated and 66 down-regulated genes were identified on 8 sGBMs with ZM fusion comparing gene expression with 135 negative sGBMs (fold-change >2.5 & p.value < 0.05). ZM-harboring U87 MG xenograft models were conducted and RNA sequencing was performed in 3 subcutaneous tumors with ZM-harboring U87 MG and 3 negative control. 384 up-regulated and 698 down-regulated genes were identified on 3 ZM-harboring samples comparing gene expression with 3 negative control samples (fold-change >2.5 & p.value < 0.05. Three subcutaneous tumors with ZM-harboring U87 MG were treated by a MET kinase inhibitor, PLB-1001. Finally, the expression of 13 up-regulated gene decreased and 10 down-regulated genes increased after treatment by PLB-1001. We overlapped the candidate genes between patient samples and subcutaneous tumors and 5 up-regulated and 4 down-regulated genes was appeared and most associated with ZM fusion. Prognostic analysis of 9 candidate genes on sGBM revealed that a higher expression of IGF2BP3 indicates a worse prognosis. In further study, we found that IGF2BP3 can be secreted out of the gliomas stem cells (GSCs) and promote proliferation of vascular endothelial cells and the expression of CD31. IGF2BP3 siRNA can block this pathway and inhibit the angiogenesis. Conclusion, our study demonstrated a new pathway promoting angiogenesis in gliomas. But the regulating mechanism between ZM fusion gene and IGF2BP3 deserves to do further research.

Insulin-like growth factor binding proteins (IGFBPs) were initially identified as high affinity binders of Insulin-like growth factors (IGFs). There are six IGFBPs which regulate the bioavailability and functions of IGFs by increasing the half-life in circulation. IGFBPs are known to play important roles in embryonic development, postnatal growth, and diseases including cancer. The physiological roles of IGFBPs are not limited to IGF regulation. In cancer, these molecules can work as tumor suppressors or promoters in a context dependent manner. Also, IGFBP1 and IGFBP2 have Arg-Gly-Asp (RGD) motifs in their C-terminal domain and they are known to interact with integrins and activate integrin signalling. IGFBP2 has been shown to have IGF independent functions which include pro-tumorigenic actions. In multiple studies, IGFBP2 has been shown to play a role in cell proliferation, migration, invasion, stem cell maintenance, and chemoresistance in various cancers. Plasma and tissue levels of IGFBP2 have been associated with clinical outcomes including response to therapy, relapse, and overall survival in glioblastoma following objectives for our study. ➢ To understand the mechanism of IGFBP2 induced migration and invasion in glioma cells. ➢ Regulation of β-catenin by IGFBP2 and its cytoplasmic actions in glioma Isolation of human single chain variable fragment (scFv) antibodies against IGFBP2 from yeast surface display library and their characterization In conclusion, this study provides mechanistic insights of IGFBP2 activated FAK/p38/GSK3β/β-catenin/HIF1α and FAK/Src/EGFR/ERK1/2 signalling pathways and their role in IGFBP2 induced glioma cell migration, invasion, and stem cell maintenance. In addition, we have isolated scFvs against IGFBP2 which in principle can be used to mitigate pro-tumorigenic actions of IGFBP2