Gene expression comparison between glioblastoma and non-neoplastic brain tissue samples using NanoString nCounter Pan-Cancer Pathways Panel
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE186057 | GEO | 2022/02/08
REPOSITORIES: GEO
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Project description:Allele-specific copy number analysis of tumors (ASCAT) assesses copy number variations (CNV) while accounting for aberrant cell fraction (ACF) and tumor ploidy. Here, we evaluate if ASCAT-assessed CNV are associated with survival outcomes in patients with WHO grade IV gliomas. Methods: We identified 56 patients with WHO grade IV gliomas. Tumor data analyzed by Affymetrix OncoScan FFPE Assay yielded the log ratio (R) and B-allele frequency (BAF). Input into ASCAT quantified CNV using the segmentation function to measure copy number inflection points throughout the genome. Actuarial overall survival (OS) and progression-free survival (PFS) assessed with Kaplan-Meier method and subgroups compared by the log-rank test. Results were validated on The Cancer Genome Atlas (TCGA) glioblastoma dataset. Results: Our cohort’s median age was 60.4 years (range: 26.1-86.3). Tumors were hyper-methylated at MGMT in 25 (44.6%) with IDH1 mutations in 6 (10.7%). Median follow-up time was 36.4 months, and median PFS and OS were 8 and 14.7 months, respectively. PFS was longer for higher log R and BAF segment counts with hazard ratios (HR) of 0.32 and 0.49 respectively (p<0.001 and p=0.022). Patients with higher log R segment counts had significantly longer 12-month OS (81% vs 46.3%, p=0.0088). In the TCGA validation cohort, higher BAF segment counts had longer 12-month OS with a trend for log R (62.3% vs. 51.9%, p=0.0129 and 63.6% vs. 55.2%, p=0.0696 respectively). Conclusions: Our analysis demonstrated a longer PFS and OS for patients with increased genomic CNV. This may provide a novel method for assessing glioblastoma outcomes.
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Project description:Background: Only a subset of radically-resected pancreatic ductal adenocarcinoma (PDAC) patients benefit from chemotherapy, and identification of novel prognostic factors is warranted. Recently miRNAs emerged as diagnostic biomarkers and innovative therapeutic targets, while high-throughput arrays are opening new opportunities to evaluate whether they can also predict clinical outcome. The present study evaluated whether comprehensive miRNA expression profiling correlated with overall survival (OS) in resected PDAC patients. Methodology/Principal Findings: High-resolution miRNA profiles were obtained with the Toray’s 3D-GeneTM miRNA chip, detecting more than 1200 types of human miRNA. RNA was isolated from paraffin-embedded primary tumors of 26 radically resected stage-pT3N1 homogeneously treated patients (adjuvant gemcitabine 1000mg/m2/day, days-1/8/15, every 28days), carefully selected according to their outcome (OS<12 vs. OS>30 months, i.e. short/long-OS). Highly stringent statistics included t-test, distance matrix with Spearman-ranked correlation, and iterative approaches. Unsupervised hierarchical analysis revealed that PDAC specimens clustered according to their short/long-OS classification, while the feature selection algorithm RELIEF identified the top-4 discriminating miRNAs between the two groups. These miRNAs target more than 1500 transcripts, including 169 targeted by two or more of these miRNAs. MiR-211 emerged as the best discriminating miRNA, with significantly higher expression in long- vs. short-OS patients. The expression of this miRNA was subsequently assessed by quantitative-PCR in an independent cohort of laser microdissected tumors from 60 resected stage-pT3N1 PDAC patients treated with the same gemcitabine regimen. Patients with low miR-211 expression according to median value had a significantly shorter median OS (14.8, 95%CI=13.1-16.5, vs. 25.7 months, 95%CI=16.2-35.1, log-rank P=0.004). Multivariate analysis demonstrated that low miR-211 expression was an independent factor of poor prognosis (hazard ratio 2.3, P=0.03) after adjusting for all the factors influencing outcome.
2012-11-22 | GSE38781 | GEO
Project description:Background: Only a subset of radically-resected pancreatic ductal adenocarcinoma (PDAC) patients benefit from chemotherapy, and identification of novel prognostic factors is warranted. Recently miRNAs emerged as diagnostic biomarkers and innovative therapeutic targets, while high-throughput arrays are opening new opportunities to evaluate whether they can also predict clinical outcome. The present study evaluated whether comprehensive miRNA expression profiling correlated with overall survival (OS) in resected PDAC patients. Methodology/Principal Findings: High-resolution miRNA profiles were obtained with the Toray’s 3D-GeneTM miRNA chip, detecting more than 1200 types of human miRNA. RNA was isolated from paraffin-embedded primary tumors of 26 radically resected stage-pT3N1 homogeneously treated patients (adjuvant gemcitabine 1000mg/m2/day, days-1/8/15, every 28days), carefully selected according to their outcome (OS<12 vs. OS>30 months, i.e. short/long-OS). Highly stringent statistics included t-test, distance matrix with Spearman-ranked correlation, and iterative approaches. Unsupervised hierarchical analysis revealed that PDAC specimens clustered according to their short/long-OS classification, while the feature selection algorithm RELIEF identified the top-4 discriminating miRNAs between the two groups. These miRNAs target more than 1500 transcripts, including 169 targeted by two or more of these miRNAs. MiR-211 emerged as the best discriminating miRNA, with significantly higher expression in long- vs. short-OS patients. The expression of this miRNA was subsequently assessed by quantitative-PCR in an independent cohort of laser microdissected tumors from 60 resected stage-pT3N1 PDAC patients treated with the same gemcitabine regimen. Patients with low miR-211 expression according to median value had a significantly shorter median OS (14.8, 95%CI=13.1-16.5, vs. 25.7 months, 95%CI=16.2-35.1, log-rank P=0.004). Multivariate analysis demonstrated that low miR-211 expression was an independent factor of poor prognosis (hazard ratio 2.3, P=0.03) after adjusting for all the factors influencing outcome. 19 samples, duplicated gene spots
2012-11-22 | E-GEOD-38781 | biostudies-arrayexpress
Project description:Glioblastoma is a devastating CNS tumor for which median survival remains only 14-18 months. Homologous antigenic loading provides a powerful PAMP signal that initiates cDC1-like skewing of monocyte-derived DC and downstream development of tissue-homing, cytolytic memory effectors. Here we report results of a phase I trial in which DC vaccines prepared through homologous antigenic loading were administered principally to newly-diagnosed MGMT unmethylated GBM patients. AEs were mild, with none >grade 2 attributable to the regimen. Enrolled patients exhibited post-vaccination elevations in central memory and MPEC cells in peripheral blood, evidence of in situ immune responses by spatial transcriptomics, and a vaccine cell gene signature that correlated with outcomes. One-year OS of the 15/16 MGMT unmethylated newly-diagnosed cohort was 87.5%. Among nine patients who did not receive reoperation, GBM-specific OS was 88.9% with median OS yet-to-be-reached after 17.2 months follow-up among this group and late pseudoprogression notable among long-term survivors.
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Project description:The presence of tumor cells in effusions within serosal cavities is a clinical manifestation of advanced-stage cancer and is generally associated with poor survival. Identifying molecular targets may help to design efficient treatments to eradicate these aggressive cancer cells and improve patient survival. Using a state-of-the-art Taqman-based qRT-PCR assay, we investigated the multidrug resistance (MDR) transcriptome of 32 unpaired ovarian serous carcinoma effusion samples obtained at diagnosis or at disease recurrence following chemotherapy. MDR genes were selected a priori based on an extensive curation of the literature published during the last three decades. We found three gene signatures with a statistically significant correlation with overall survival (OS), response to treatment (complete response - CR vs. other), and progression free survival (PFS). The median log-rank p-values for the signatures were 0.023, 0.034, and 0.008, respectively. No correlation was found with residual tumor status after cytoreductive surgery, treatment (with or without chemotherapy) and stage defined according to the International Federation of Gynecology and Obstetrics. Further analyses demonstrated that gene expression alone can effectively predict the survival outcome of women with ovarian serous carcinoma (OS: log-rank p=0.0000 and PFS: log-rank p=0.002). Interestingly, the signature for overall survival is the same in patients at first presentation and those who had chemotherapy and relapsed. This pilot study highlights two new gene signatures that may help in optimizing the treatment for ovarian carcinoma patients with effusions.
2011-11-17 | GSE29702 | GEO
Project description:Background: Recent data demonstrated efficacy of immune checkpoint inhibitors in advanced OCCC, but little is known about the immune microenvironment of these tumours and its impact on outcomes. We studied the expression of a panel of immune response genes in OCCC to identify the presence and prognostic relevance of irGES in these tumours. Methods: Immune response gene profiling was performed on 96 FFPE OCCC tumour samples with matched clinical outcomes, collected from the National University Hospital, Singapore between 2003 – 2016, using the nanoString nCounter PanCancer Immune Profiling Panel. Unsupervised hierarchical clustering analysis was performed to stratify OCCCs to derive the irGES profiles. Upregulation of specific genes of interest at the protein level and the status of mismatch repair (MMR) and ARID1A were validated using immunohistochemistry (IHC). Results: Total of 74/84 samples were successfully profiled. Median age at diagnosis was 53 yrs. 41 (55.4%) were stage 1, 7 (9.5%) stage 2, 24 (32.4%) Stage3, 2 (2.7%) stage 4. 64/74 (86.5%) of patients received adjuvant chemotherapy post debulking surgery with 38% recurrence rate (median PFS 27 months). Median follow up was 36 months. Based on irGES, 4 distinct molecular subgroups of OCCCs were identified. G1 was hallmarked by NK cell markers and PD-1 expression (PD-1 high), G2 by increased CTLA-4 expression, G3 by upregulation of genes associated with immunogenicity and antigen presentation, and G4 by increased levels of pro - angiogenic genes. The PD-1 high group was observed to have significantly poorer PFS (median PFS 20 months vs 68 months, p= 0.011) and a trend towards poorer OS when compared with G2/3/4 (median OS 38.8 months vs undefined, p = 0.0501). The pro - angiogenic (G4) carried the best prognosis (median PFS 108 months vs 26 months, p= 0.0515; median OS undefined, p= 0.0726). This difference in OS and PFS was consistently observed between stage 1 and non-stage 1 pts (hazard ratio 5.856 and 5.659, p < 0.0001, respectively). Significant correlation was observed between gene and protein expression of tumour PD-1, tumour and stromal PD-L1, and tumour IL-6 using IHC (p < 0.0001 for all comparisons). 6 (8.1%) pts were MMR deficient and there was no significant association between ARID1A and MMR expression across each irGES groups. Conclusion: OCCCs are heterogeneous and can be classified into 4 molecular subgroups based on their irGES profiles representing distinct clinicopathological characteristics and prognostic outcomes. If validated in larger datasets, these signatures may serve to guide clinical trial design and personalized treatment for OCCC pts.
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Project description:The presence of tumor cells in effusions within serosal cavities is a clinical manifestation of advanced-stage cancer and is generally associated with poor survival. Identifying molecular targets may help to design efficient treatments to eradicate these aggressive cancer cells and improve patient survival. Using a state-of-the-art Taqman-based qRT-PCR assay, we investigated the multidrug resistance (MDR) transcriptome of 32 unpaired ovarian serous carcinoma effusion samples obtained at diagnosis or at disease recurrence following chemotherapy. MDR genes were selected a priori based on an extensive curation of the literature published during the last three decades. We found three gene signatures with a statistically significant correlation with overall survival (OS), response to treatment (complete response - CR vs. other), and progression free survival (PFS). The median log-rank p-values for the signatures were 0.023, 0.034, and 0.008, respectively. No correlation was found with residual tumor status after cytoreductive surgery, treatment (with or without chemotherapy) and stage defined according to the International Federation of Gynecology and Obstetrics. Further analyses demonstrated that gene expression alone can effectively predict the survival outcome of women with ovarian serous carcinoma (OS: log-rank p=0.0000 and PFS: log-rank p=0.002). Interestingly, the signature for overall survival is the same in patients at first presentation and those who had chemotherapy and relapsed. This pilot study highlights two new gene signatures that may help in optimizing the treatment for ovarian carcinoma patients with effusions. In the study presented here, effusion samples were obtained from 32 patients diagnosed with serous ovarian carcinoma (n=25), primary peritoneal serous carcinoma (n=6) or tubal serous carcinoma (n=1). They were accrued at the Division of Pathology in the Norwegian Radium Hospital from 2000-2006. RNA was used to study the expression profile of 381 multidrug resistant-related genes.
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