Homo sapiens
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PROVIDER: PRJNA242425 | ENA |
REPOSITORIES: ENA
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Project description:Background and Purpose: The current standard of care for locally advanced esophageal and gastroesophageal junctional cancer is neoadjuvant chemoradiation (NCRT) followed by surgery. The genomic and proteomic pathways responsible for response to neoadjuvant chemoradiation are sparsely described, and thus response to treatment cannot be reliably predicted. In this study, we performed an in-depth proteomic analysis of esophageal and gastroesophageal tumors, to describe differences in pathway activation between patients with good and poor prognosis following neoadjuvant chemoradiation. Materials and Methods: This study included locally advanced esophageal and gastroesophageal cancer patients treated with NCRT. The study cohort was dichotomized into two groups of patients- good prognosis (GP) and bad prognosis (BP) according to the post-operative disease-free interval. We performed a mass spectrometry analysis of proteins extracted from the malignant regions of surgical specimens and analyzed data from electronic medical records. Clinical data was correlated with differences in protein expression between GP and BP using validated gene expression pathways. Results: The study included thirty-five patients with adenocarcinoma. GP and BP had statistically significant differences in protein expression patterns. GP exhibited differential enrichment of pathways related to cellular respiration, oxidative phosphorylation and proteins of the RAS oncogene family. Conclusion: In this study we identify enrichment of pathways related to oxidative phosphorylation and RAS oncogene pathway in esophageal cancer patients with a favorable response to NCRT. Larger transcriptomic studies are warranted to portray potential surrogate signature of biomarkers based upon these potential pathways.
2022-05-20 | PXD025192 | Pride
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:High-grade serous ovarian cancer (HGSOC) exhibits significant genomic heterogeneity within a patient at presentation. Recent work has suggested that this heterogeneity is linked to the development of resistance and disease progression in that chemotherapy selects for minor resistant subclones embodied in presentation disease leading to short progression-free survival and resistant relapse. Cell line models support this by showing that relapse is not an immediate descendant of presentation disease, but so far no immediate clinical evidence has been provided that convincingly demonstrates the origin of relapse. It is further still unclear what evolutionary processes shape the mutational landscape of HGSOC in vivo and to what extent the degree of genomic heterogeneity impacts a patient's clinical outcome. We address these questions by inferring evolutionary trees of metastatic disease from structural variations between 138 cancer samples obtained from 17 patients undergoing neoadjuvant chemotherapy for HGSOC. Using novel phylogenetic methods, we quantify genomic changes in the course of chemotherapy and the degree of clonal expansion and show that these indices determine patient outcome with high accuracy. We demonstrate that relapse is indeed a minor subclone of presentation disease by verifying that the focal NF1 deletion of a relapse case was already present at biopsy. By leveraging the information contained in the evolutionary trees, we unveil the etiology of genetic heterogeneity and the tumorigenic potential of HGSOC cell populations. This is the first comprehensive study showing the origin, strength and effect of genetic heterogeneity in HGSOC in a clinical setting. In addition to its immediate clinical significance, it strengthens previous statements that single sample biopsies are seemingly insufficient to predict disease progression and stresses the importance of establishing multiple sampling as a routine approach in the clinic. Clinical data and tissue samples were collected on the prospective CTCR-OV03 and CTCR-OV04 clinical studies designed to identify biomarkers of heterogeneity.
2014-10-01 | E-GEOD-40546 | biostudies-arrayexpress
Project description:Neoadjuvant chemotherapy (NAC) followed by surgery is one of the standard therapeutic approaches for patients with locally advanced esophageal carcinoma in Japan. Recently, JCOG1109 study revealed that NAC with docetaxel, cisplatin and 5-fluorouracil (5-FU) (DCF-NAC) is superior to NAC with cisplatin and 5-FU, and has become the standard preoperative chemotherapy. By using microarray, we have previously investigated expression profiles of endoscopic biopsies of patients with esophageal squamous cell carcinoma (ESCC) before DCF-NAC (preNAC) and identified 17 molecules as predictive biomarkers for pathologically complete response to DCF-NAC. Here, we re-grouped our previous dataset based on the histopathological response grade with an addition of several microarray profiles (altogether 5 non-tumors, 12 highly resistant cancers and 27 sensitive cancers) and re-analyzed by bioinformatic web tools, including DAVID, GSEA, UALCAN and CIBERSORTx. We identified 204 genes as differentially expressed genes (DEGs) between highly resistant and sensitive groups. A number of DEGs were related to immune response and expressed higher in sensitive group. By UALCAN, 28 of the top 50 DEGs showed that their high expression were associated with favorable prognosis (p<0.25). Among them, 18 DEGs reached significance (p<0.05), suggesting that patients with high expression of these genes might have benefited from chemotherapy and thus had better outcome. We further showed distribution of the cells expressing CXCL9 mRNA, one of the prognosis related DEGs, in preNAC biopsy tissues of DCF-sensitive case. In conclusion, our data may provide useful information to establish predictive and effective methods for DCF-NAC in ESCC.
2023-11-15 | GSE225178 | GEO
Project description:Triple-negative breast cancer (TNBC) patients with residual disease after neoadjuvant chemotherapy generally have worse outcome; however, some patients with residual tumor after neoadjuvant chemotherapy do not relapse. We hypothesize that there are subgroups of chemoresistant TNBC patients with different prognosis. In this study, 25 chemoresistant samples from 47 neoadjuvant chemotherapy-treated TNBC (The Methodist Hospital) are chosen for study
2013-01-15 | GSE43502 | GEO
Project description:Triple-negative breast cancer (TNBC) patients with residual disease after neoadjuvant chemotherapy generally have worse outcome; however, some patients with residual tumor after neoadjuvant chemotherapy do not relapse. We hypothesize that there are subgroups of chemoresistant TNBC patients with different prognosis. In this study, 25 chemoresistant samples from 47 neoadjuvant chemotherapy-treated TNBC (The Methodist Hospital) are chosen for study We used gene expression data of TNBC patients with residual disease and different prognosis to molecularly define the clinically relevant subgroups, and developed a 7-gene prognostic signature for chemoresistant TNBCs
2013-01-15 | E-GEOD-43502 | biostudies-arrayexpress
Project description:The single cell transcriptional landscape of esophageal adenocarcinoma and its modulation by neoadjuvant chemotherapy
| PRJNA917632 | ENA
Project description:Data supporting: "Genomic analysis of response to neoadjuvant chemotherapy in esophageal adenocarcinoma" Izadi et al.
WGS for tumour and normal samples.
RNAseq for tumour samples.
| EGAD00001007493 | EGA
Project description:Abstract Motivation Breast cancer is a heterogeneous disease with distinct subtypes. Even within these subtypes differences at the molecular level are present which are reflected in variable responses to chemotherapy. We set out to identify genes associated with chemotherapy resistance by analyzing a set of HER2-positive breast cancers. Methods We collected, gene expression profiled and analyzed 60 HER2-positive breast tumor biopsies, obtained from patients scheduled to undergo neoadjuvant therapy. In addition to conventional supervised approaches for the detection of reporters of resistance, we report on a novel approach specifically tailored to the detection of small groups of resistant samples that show aberrant gene expression patterns. Results We propose a novel analytical approach that takes heterogeneity in response into account. We show that this approach is more powerful than classical approaches for detecting small subgroups of samples showing aberrant expression in a controlled setting. We applied this approach to our 60 breast cancer samples prior to neoadjuvant chemotherapy, and generated candidate response reporter lists for each subtype. Discussion Using a novel analytical approach we report on the mRNA gene expression analysis of a cohort of breast cancers prior to neoadjuvant chemotherapy. An important characteristic of this approach is that it takes heterogeneity in neoadjuvant treatment response into account. Such approaches are needed to identify biomarkers for predicting treatment response. We collected, gene expression profiled and analyzed 60 breast tumor biopsies, obtained from patients scheduled to undergo neoadjuvant therapy.
2013-10-22 | E-GEOD-41656 | biostudies-arrayexpress