Benefit of adjuvant chemotherapy on recurrence free survival per consensus molecular subtype in stage III colon cancer
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PROVIDER: PRJNA1051858 | ENA |
REPOSITORIES: ENA
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Project description:In this study, we evaluated the added value of CMS in predicting both prognosis and benefit of adjuvant chemotherapy in stage III CC patients.
2024-07-10 | GSE250057 | GEO
Project description:Pancreatic ductal adenocarcinoma (PDAC) has a poor prognosis with very frequent post-surgical local recurrence. The combination of adjuvant chemotherapy with radiotherapy is under consideration to achieve a prolonged disease-free survival (DFS). To date, few studies have determined protein profiles that are associated with responsiveness to adjuvant chemoradiation. Here, we analyzed the proteomes of primary, surgically resected PDAC tumors subjected to adjuvant chemoradiation and achieving short DFS (median DFS of 6 months, n = 6) or a prolonged DFS (median DFS of 28 months, n = 6) using liquid chromatography tandem mass spectrometry.
2018-09-11 | PXD009254 | Pride
Project description:BACKGROUND & AIMS: Sorafenib is the standard systemic therapy for advanced hepatocellular carcinoma (HCC). In early-stage HCC, survival benefits of resection/local ablation are compromised by high recurrence rates (70% at 5-years). In this setting, the phase-3 STORM-trial did not achieve its primary end-point of improving recurrence-free-survival (RFS) comparing sorafenib to placebo as adjuvant treatment. Herein we present results of the biomarker companion study BIOSTORM in which we define predictors of recurrence prevention with sorafenib and prognostic factors with B-level of evidence. METHODS: Tumor tissue from 188 patients randomized to receive sorafenib (83) or placebo (105) in the STORM trial was collected. Analyses included gene-expression profiling, targeted exome sequencing (18 known onco-drivers), immunohistochemistry (pERK, pVEGFR2, Ki67), FISH (VEGFA) and immunome. A gene signature capturing improved RFS in sorafenib-treated patients was generated. All 70 RFS events were recurrences, thus time-to-recurrence equaled RFS. Predictive and prognostic value was assessed using Cox regression models and interaction test. RESULTS: BIOSTORM recapitulates clinical and pathological characteristics of STORM patients. None of the biomarkers tested that are known to be related to angiogenesis and proliferation, or previously proposed gene-signatures, or mutations predicted sorafenib benefit. A newly generated 146-gene signature identifying 30% of patients captured benefit to sorafenib in terms of RFS (p-of-interaction=0.04). These sorafenib responders were significantly enriched in CD4+ T, B, and cytolytic Natural Killer cells, and showed absence of activated macrophages and other components of adaptive immunity. Hepatocytic pERK (HR=2.41; p=0.012) and microvascular invasion (HR=2.09; p=0.017) were independent prognostic factors. CONCLUSIONS: In BIOSTORM, hepatocytic pERK and microvascular invasion predicted poor RFS. No mutation, gene amplification or previously proposed gene-signatures predicted sorafenib benefit. A newly generated multi-gene signature associated with improved RFS on sorafenib warrants further validation. KEYWORDS: sorafenib; tyrosine-kinase inhibitor; trial enrichment; stratification.
2018-08-21 | GSE109211 | GEO
Project description:The human epidermal growth factor receptor 2 (HER2) gene encodes a tyrosine kinase receptor that controls important signal transduction pathways in breast cancer. Amplification and overexpression of the HER2 gene occurs in approximately 20% of breast cancers and is associated with an aggressive clinical phenotype. Trastuzumab, a humanized monoclonal antibody that targets HER2 showed exceptional efficacy in the treatment of breast cancer. In the adjuvant treatment of breast cancer patients, five randomized trials showed significant benefit of trastuzumab, with a reduction in the rate of recurrence of approximately 50% and improvement in the rate of survival of approximately 30%. In the current study, positive early stage breast cancer samples treated with adjuvant trastuzumab provided by institute Jules Bordet (IJB) and KUL. Gene expression and clinical outcome data were available. to better understand the genetic regulations and effects of the trastuzumab, we profile the the genes expression of positive early stage breast cancer samples treated with adjuvant trastuzumab.
2016-12-31 | GSE58984 | GEO
Project description:Study to identify genes associated with NSCLC recurrence in patients not receiving adjuvant chemotherapy. Purpose: Recent clinical trials suggest improvement in survival with adjuvant chemotherapy in non-small cell lung cancer (NSCLC). This study's aim is to identify genes associated with NSCLC recurrence in patients not receiving adjuvant chemotherapy. Experimental design: Banked NSCLC tumors of patients who underwent resection of stage Ia-IIIb disease were identified. Patients were stratified into two groups: recurrent (R, n=11) or non-recurrent (NR, n=16) 2 years after surgery. Microarray profiling and Cox multivariate analysis were performed. Conclusion: Increased CYP3A5 gene expression correlates with NSCLC recurrence and promotes proliferation through mechanisms that may involve, in part, CYP3A5 epoxygenase activity. Experiment Overall Design: comparison of gene expression profiles for recurrent and non-recurrent cancer
2009-12-14 | E-GEOD-9971 | biostudies-arrayexpress
Project description:Study to identify genes associated with NSCLC recurrence in patients not receiving adjuvant chemotherapy. Purpose: Recent clinical trials suggest improvement in survival with adjuvant chemotherapy in non-small cell lung cancer (NSCLC). This study's aim is to identify genes associated with NSCLC recurrence in patients not receiving adjuvant chemotherapy. Experimental design: Banked NSCLC tumors of patients who underwent resection of stage Ia-IIIb disease were identified. Patients were stratified into two groups: recurrent (R, n=11) or non-recurrent (NR, n=16) 2 years after surgery. Microarray profiling and Cox multivariate analysis were performed. Conclusion: Increased CYP3A5 gene expression correlates with NSCLC recurrence and promotes proliferation through mechanisms that may involve, in part, CYP3A5 epoxygenase activity. Keywords: comparison of gene expression profiles for recurrent and non-recurrent cancer
2009-12-01 | GSE9971 | GEO
Project description:Adjuvant-induced human monocyte secretome profiles reveal adjuvant- and age-specific protein signatures.
2016-03-14 | PXD003534 | Pride
Project description:Abstract from paper - Potti A, et al Keywords: Outcome, recurrence, adjuvant therapy, Early stage Non-small cell Lung Cancer, Lung Metgene Predictor
2006-08-10 | GSE3593 | GEO
Project description:<p><b><u>Background</u></b><br/> National Surgical Adjuvant Breast and Bowel Project (NSABP) trial B-31 suggested the efficacy of adjuvant trastuzumab, even in HER2-negative breast cancer. This finding prompted us to develop a predictive model for degree of benefit from trastuzumab using archived tumor blocks from B-31. </p> <p><b><u>Methods</u></b><br/> Case subjects with tumor blocks were randomly divided into discovery (n = 588) and confirmation cohorts (n = 991). A predictive model was built from the discovery cohort through gene expression profiling of 462 genes with nCounter assay. A predefined cut point for the predictive model was tested in the confirmation cohort. Gene-by-treatment interaction was tested with Cox models, and correlations between variables were assessed with Spearman correlation. Principal component analysis was performed on the final set of selected genes. All statistical tests were two-sided. </p> <p><b><u>Results</u></b><br/> Eight predictive genes associated with HER2 (ERBB2, c17orf37, GRB7) or ER (ESR1, NAT1, GATA3, CA12, IGF1R) were selected for model building. Three-dimensional subset treatment effect pattern plot using two principal components of these genes was used to identify a subset with no benefit from trastuzumab, characterized by intermediate-level ERBB2 and high-level ESR1 mRNA expression. In the confirmation set, the predefined cut points for this model classified patients into three subsets with differential benefit from trastuzumab with hazard ratios of 1.58 (95% confidence interval [CI] = 0.67 to 3.69; P = .29; n = 100), 0.60 (95% CI = 0.41 to 0.89; P = .01; n = 449), and 0.28 (95% CI = 0.20 to 0.41; P < .001; n = 442; P interaction between the model and trastuzumab < .001). </p> <p><b><u>Conclusions</u></b><br/> We developed a gene expression-based predictive model for degree of benefit from trastuzumab and demostrated that HER2-negative tumors belong to the moderate benefit group, thus providing justification for testing trastuzumab in HER2-negative patients (NSABP B-47).</p> <p>** Reprinted from J Natl Cancer Inst;2013;105:1782-1788 with permission from Oxford University Press.</p>
| phs000826 | dbGaP
Project description:Adjuvant-induced human monocyte secretome profiles reveal adjuvant- and age-specific protein signatures.
2016-07-20 | MSV000079960 | MassIVE