Association of Molecular Subtypes with Pathologic Response, PFS and OS in a Phase II Study of Coexpression Extrapolation (COXEN) with Neoadjuvant Chemotherapy (NAC) for Localized, Muscle-Invasive Bladder Cancer (SWOG S1314; NCT02177695)
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE244266 | GEO | 2023/11/28
REPOSITORIES: GEO
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Project description:Purpose:The identification of biomarkers predictive of neoadjuvant chemotherapy response in breast cancer patients would be an important advancement in personalized cancer therapy. We hypothesized that due to similarities between radiation and chemotherapy induced cellular response mechanisms, radiation responsive genes may be useful in predicting response to neoadjuvant chemotherapy. Materials and Methods: Murine p53 null breast cancer cell lines representative of the luminal, basal-like and claudin-low human breast cancer subtypes were irradiated to identify radiation responsive genes. These murine radiation induced genes were then converted to their human orthologs. These genes were then used to develop a predictor of pathologic complete response (pCR) that was validated on two independent published neoadjuvant chemotherapy data sets of genomic data with response. Results: A radiation induced gene signature consisting of 30 genes was identified on a training set of 337 human primary breast cancer tumor samples that was prognostic for survival. Mean expression of this signature was calculated for individual samples in two independent published datasets and was found to be significantly predictive of pathologic complete response. Multivariate logistic regression analysis in both independent datasets showed that this 30 gene signature added significant predictive information independent of that provided by standard clinical predictors and other gene expression based predictors of pathologic complete response. Conclusion: This study provides new biologic information regarding response to neoadjuvant chemotherapy and a means of possibly improving the prediction of pathologic complete response. reference x sample
2015-01-21 | E-GEOD-48073 | biostudies-arrayexpress
Project description:Purpose:The identification of biomarkers predictive of neoadjuvant chemotherapy response in breast cancer patients would be an important advancement in personalized cancer therapy. We hypothesized that due to similarities between radiation and chemotherapy induced cellular response mechanisms, radiation responsive genes may be useful in predicting response to neoadjuvant chemotherapy. Materials and Methods: Murine p53 null breast cancer cell lines representative of the luminal, basal-like and claudin-low human breast cancer subtypes were irradiated to identify radiation responsive genes. These murine radiation induced genes were then converted to their human orthologs. These genes were then used to develop a predictor of pathologic complete response (pCR) that was validated on two independent published neoadjuvant chemotherapy data sets of genomic data with response. Results: A radiation induced gene signature consisting of 30 genes was identified on a training set of 337 human primary breast cancer tumor samples that was prognostic for survival. Mean expression of this signature was calculated for individual samples in two independent published datasets and was found to be significantly predictive of pathologic complete response. Multivariate logistic regression analysis in both independent datasets showed that this 30 gene signature added significant predictive information independent of that provided by standard clinical predictors and other gene expression based predictors of pathologic complete response. Conclusion: This study provides new biologic information regarding response to neoadjuvant chemotherapy and a means of possibly improving the prediction of pathologic complete response.
2015-01-21 | GSE48073 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE25055: Discovery cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer GSE25065: Validation cohort for genomic predictor of response and survival following neoadjuvant taxane-anthracycline chemotherapy in breast cancer Refer to individual Series
2011-05-11 | E-GEOD-25066 | biostudies-arrayexpress
Project description:Triple negative breast cancer is a heterogeneous disease with distinct molecular subtypes that differentially respond to chemotherapy and targeted agents. The purpose of this study was to explore the clinical relevance of Lehmann triple negative breast cancer subtypes by identifying any differences in response to neoadjuvant chemotherapy among them.
2017-11-17 | GSE106977 | GEO
Project description:Association of Molecular Subtypes with Pathologic Response, PFS and OS in a Phase II Study of Coexpression Extrapolation (COXEN) with Neoadjuvant Chemotherapy (NAC) for Localized, Muscle-Invasive Bladder Cancer (SWOG S1314 NCT02177695)
| PRJNA1022039 | ENA
Project description:Purpose: Neoadjuvant cisplatin-based Chemotherapy (NAC) followed by cystectomy is the standard of care for patients with muscle-invasive bladder cancer (MIBC). Unfortunately, only a third of patients achieve pathologic complete response (pCR). The aim of this study is to deeply investigate the role played by peripheral immunogenicity and the Tumor and Immune Microenvironment (TIME) in patients undergoing NAC to identify predictive and pharmacodynamic biomarkers associated with treatment response or treatment resistance. Experimental design: N= 19 patients with MIBC received NAC and were classified as pCR (n=10) or non-pCR (n=9). Bulk RNA-seq was performed on 13 formalin-fixed paraffin-embedded (FFPE) tumor biopsies collected before treatment with NAC and immune protein evaluations using GeoMx Digital Spatial Profiling (DSP) technology were performed on matched FFPE tumor biopsies collected before and after treatment with NAC. Matching Peripheral blood collected prior treatment initiation and during cystectomy was assessed for lymphocytes and neutrophils counts. Kaplan–Meier analyses and Cox PH regression models were used for survival analyses (OS). Results: Genes associated with immune signaling and DNA repair signaling correlated with treatment outcome of patients with MIBC undergoing NAC. At baseline, gene expression analysis and digital special profile highlighted an abundance of B cells and a reduced neuroendocrine phenotype in the TME of pCR vs. no-pCR. Increased protein expression of immune checkpoints molecules (e.g. LAG3, ICOS, PD-L1) was also observed in the TME of patients with no-pCR. In peripheral blood, a significant increase of lymphocytes and decrease of neutrophils counts, respectively, was observed in pCR vs no-pCR following NAC. Conclusions: When confirmed on a larger cohort, our results might lead to novel therapeutic strategies and to novel biomarkers predicting patients likely to respond to NAC.
2024-08-16 | GSE247185 | GEO
Project description:PURPOSE: To develop a predictive test for response and survival following neoadjuvant taxane-anthracycline chemotherapy for HER2-negative invasive breast cancer. METHODS: We developed a microarray-based gene expression test from pre-treatment tumor biopsies (310 patients) to predict favorable outcome based on estrogen receptor (ER) status,pathologic response to chemotherapy, 3-year disease outcomes, and sensitivity to endocrine therapy. Tumors were classified as treatment-sensitive if predicted to have pathologic response (and not resistance) to chemotherapy, or sensitive to endocrine therapy. We tested predictive accuracy, with 95% confidence interval (CI), for pathologic response (PPV, positive predictive value), distant relapse-free survival (DRFS), and absolute risk reduction at median follow-up in 198 other patients. Independence from clinical-pathologic factors was assessed in a multivariate Cox regression analysis based on the likelihood ratio test. Other evaluable, published response predictors (genomic grade index (GGI), intrinsic subtype (PAM50), pCR predictor (DLDA30)) were compared. Neoadjuvant validation cohort of 198 HER2-negative breast cancer cases treated with taxane-anthracycline chemotherapy pre-operatively and endocrine therapy if ER-positive. Response was assessed at the end of neoadjuvant treatment and distant-relapse-free survival was followed for at least 3 years post-surgery.
2011-05-11 | E-GEOD-25065 | biostudies-arrayexpress
Project description:PURPOSE: To develop a predictive test for response and survival following neoadjuvant taxane-anthracycline chemotherapy for HER2-negative invasive breast cancer. METHODS: We developed a microarray-based gene expression test from pre-treatment tumor biopsies (310 patients) to predict favorable outcome based on estrogen receptor (ER) status,pathologic response to chemotherapy, 3-year disease outcomes, and sensitivity to endocrine therapy. Tumors were classified as treatment-sensitive if predicted to have pathologic response (and not resistance) to chemotherapy, or sensitive to endocrine therapy. We tested predictive accuracy, with 95% confidence interval (CI), for pathologic response (PPV, positive predictive value), distant relapse-free survival (DRFS), and absolute risk reduction at median follow-up in 198 other patients. Independence from clinical-pathologic factors was assessed in a multivariate Cox regression analysis based on the likelihood ratio test. Other evaluable, published response predictors (genomic grade index (GGI), intrinsic subtype (PAM50), pCR predictor (DLDA30)) were compared. Neoadjuvant study of 310 HER2-negative breast cancer cases treated with taxane-anthracycline chemotherapy pre-operatively and endocrine therapy if ER-positive. Response was assessed at the end of neoadjuvant treatment and distant-relapse-free survival was followed for at least 3 years post-surgery.
2011-05-11 | E-GEOD-25055 | biostudies-arrayexpress
Project description:For patients with muscle-invasive bladder cancer, there are no biomarkers in clinical use that can identify patients that are sensitive or resistant to neoadjuvant chemotherapy. This study investigates how molecular subtypes impact pathological response and survival in 149 patients receiving preoperative cis-platin based chemotherapy by tumor classification using transcriptomic profiling and a 13-marker immunostaining panel. Furthermore, we explored to what extent gene expression signatures can predict chemotherapy response beyond molecular subtypes. We observed improved pathological response rates and survival outcomes for patients presenting with genomically unstable (GU) and urothelial-like (Uro) subtypes compared to the basal-squamous (BASQ) subtype following neoadjuvant chemotherapy and radical cystectomy. Also, SPP1, coding for osteopontin, displayed a clear subtype-dependent effect on chemotherapy response, confirmed at the protein level. Based on our findings, we hypothesize that urothelial cancer of the luminal-like GU- and Uro-subtypes are more responsive to cisplatin-based chemotherapy which may influence patient selection pending further research.
2021-11-19 | GSE169455 | GEO
Project description:<p>Neoadjuvant chemotherapy (NAC) for breast cancer is widely employed. We performed genome-wide association studies (GWAS) to determine if germline genetic variability was associated with benefits, in terms of pathological complete response (pCR), disease-free survival (DFS), and overall survival (OS), in patients entered on the NSABP B-40 NAC (National Surgical Adjuvant Breast and Bowel Project, B-40, Neoadjuvant Chemotherapy) trial where some patients were randomized to receive bevacizumab, in addition to chemotherapy. </p>
| phs001365 | dbGaP