Gene expression profiles of pretreatment biopsies from dose-dense-docetaxel-treated breast cancers
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE28796 | GEO | 2011/04/22
SECONDARY ACCESSION(S): PRJNA138815
REPOSITORIES: GEO
Similar Datasets
Project description:The purpose of this study was to identify molecular markers of pathologic response to neoadjuvant dose-dense docetaxel treatment using gene expression profiling on pretreatment biopsies. Patients with high-risk, operable breast cancer were treated with 75 mg/m2 IV of docetaxel on day 1 of each cycle every 2 weeks x 4 cycles . Tumor tissue from pretreatment biopsies was obtained from 12 patients enrolled in the study. Gene expression profiling were done on serial sections of the biopsies from patients that achieved a pathologic complete response (pCR) and compared to those with residual disease, non-pCR (NR). Tumor tissues from pretreatment needle biopsies from patients enrolled in a dose-dense docetaxel clinical trial were laser capture microdissected for RNA extraction and hybridization to Affymetrix microarrays. We analyzed one array (sample A) from duplicate samples from each patient.
2011-04-22 | E-GEOD-28796 | biostudies-arrayexpress
Project description:The purpose of this study was to identify molecular markers of pathologic response to neoadjuvant paclitaxel/radiation treatment, protein and gene expression profiling were done on pretreatment biopsies. Patients with high-risk, operable breast cancer were treated with three cycles of paclitaxel followed by concurrent paclitaxel/radiation. Tumor tissue from pretreatment biopsies was obtained from 19 of the 38 patients enrolled in the study. Protein and gene expression profiling were done on serial sections of the biopsies from patients that achieved a pathologic complete response (pCR) and compared to those with residual disease, non-pCR (NR). Proteomic and validation immunohistochemical analyses revealed that α-defensins (DEFA) were overexpressed in tumors from patients with a pCR. Gene expression analysis revealed that MAP2, a microtubule-associated protein, had significantly higher levels of expression in patients achieving a pCR. Elevation of MAP2 in breast cancer cell lines led to increased paclitaxel sensitivity. Furthermore, expression of genes that are associated with the basal-like, triple-negative phenotype were enriched in tumors from patients with a pCR. Analysis of a larger panel of tumors from patients receiving presurgical taxane-based treatment showed that DEFA and MAP2 expression as well as histologic features of inflammation were all statistically associated with response to therapy at the time of surgery. We show the utility of molecular profiling of pretreatment biopsies to discover markers of response. Our results suggest the potential use of immune signaling molecules such as DEFA as well as MAP2, a microtubule-associated protein, as tumor markers that associate with response to neoadjuvant taxaneâbased therapy. Tumor tissues from pretreatment needle biopsies from patients enrolled on a paclitaxel/radiation clinical trial were laser capture microdissected for RNA extraction and hybridization to Affymetrix microarrays. We analyzed one array (sample A) from duplicate samples from each patient. 14 subject, 2 replicates each.
2010-06-23 | E-GEOD-22513 | biostudies-arrayexpress
Project description:The purpose of this study was to identify molecular markers of pathologic response to neoadjuvant paclitaxel/radiation treatment, protein and gene expression profiling were done on pretreatment biopsies. Patients with high-risk, operable breast cancer were treated with three cycles of paclitaxel followed by concurrent paclitaxel/radiation. Tumor tissue from pretreatment biopsies was obtained from 19 of the 38 patients enrolled in the study. Protein and gene expression profiling were done on serial sections of the biopsies from patients that achieved a pathologic complete response (pCR) and compared to those with residual disease, non-pCR (NR). Proteomic and validation immunohistochemical analyses revealed that α-defensins (DEFA) were overexpressed in tumors from patients with a pCR. Gene expression analysis revealed that MAP2, a microtubule-associated protein, had significantly higher levels of expression in patients achieving a pCR. Elevation of MAP2 in breast cancer cell lines led to increased paclitaxel sensitivity. Furthermore, expression of genes that are associated with the basal-like, triple-negative phenotype were enriched in tumors from patients with a pCR. Analysis of a larger panel of tumors from patients receiving presurgical taxane-based treatment showed that DEFA and MAP2 expression as well as histologic features of inflammation were all statistically associated with response to therapy at the time of surgery. We show the utility of molecular profiling of pretreatment biopsies to discover markers of response. Our results suggest the potential use of immune signaling molecules such as DEFA as well as MAP2, a microtubule-associated protein, as tumor markers that associate with response to neoadjuvant taxane–based therapy.
2010-06-23 | GSE22513 | GEO
Project description:Breast cancer is the most frequently diagnosed female cancer accounting for 23 % of the total cases and the second leading cause of cancer mortality in the world, particularly in western countries. Since GEPARDUO trial reported the therapeutic benefit of combined doxorubicin and cyclophosphamide regimen in sequential administration with docetaxel, the combination regimen has become a standard therapeutic strategy in neoadjuvant systemic therapy for patients with operable breast cancers regardless of an intrinsic subtype. Although approximately 70% of entire patients are currently receiving the chemotherapy regimen, pathologic complete response (pCR) rate is still low, ranging from 23% to 32.7% due to the high heterogeneity of breast cancers. Therefore, the need for a marker predictive of response to a particular cytotoxic regimen, especially before neoadjuvant chemotherapy, is becoming all the more necessary to optimize therapeutic efficacy and to avoid unnecessary complications caused by systemic therapy. In the study, here we generated the first high-coverage proteomic data for needle biopsy FFPE sample being characterized with identical clinical conditions including chemotherapeutic regimens and the stage classification.
2021-09-08 | PXD013431 | Pride
Project description:In patients with primary breast cancer, neoadjuvant chemotherapy with doxorubicin plus pemetrexed followed by docetaxel (AP-D) is associated with a pathologic complete response (pCR) rate of 16.5%, and doxorubicin plus cyclophosphamide followed by docetaxel (AC-D) is associated with a pCR rate of 20.2%. Our primary objective was to identify single predictive genetic markers for achievement of pCR following either AP-D or AC-D treatment. Our main secondary objective was to detect treatment-group specific, pCR-predictive gene signatures.
2014-02-01 | E-TABM-1186 | biostudies-arrayexpress
Project description:The goal of the study was to identify a gene expression signature capable of predicting a pathological complete response following neoadjuvant anthracycline-based chemotherapy of breast cancer. The samples were taken from the FEC arm (5-fluorouracil, epirubicin, cyclophosphamide) of the EORTC 10994 trial. EORTC 10994 is a phase III clinical trial comparing FEC with ET (epirubicin, docetaxel) in patients with large operable, locally advanced or inflammatory breast cancer (www.eortc.be). Frozen biopsies were taken at randomisation. RNA was extracted from 100um thickness of 14G core needle biopsies. Adjacent sections were tested by H&E to confirm >20% tumour cell content. 200 ng total RNA per chip was amplified using the Affymetrix small sample protocol (IVT then Enzo). 102 tumours were tested on Affymetrix X3P chips. Single biopsies were tested per tumour. The CEL files were quantile normalised using rma. The clinical response measure was pathological complete response (pCR, disappearance of the tumour after chemotherapy with at most scattered invasive cells detected by histology). 102 tumors
2008-12-19 | E-GEOD-4779 | biostudies-arrayexpress
Project description:The goal of the study was to identify a gene expression signature capable of predicting a pathological complete response following neoadjuvant anthracycline-based chemotherapy of breast cancer. The samples were taken from the FEC arm (5-fluorouracil, epirubicin, cyclophosphamide) of the EORTC 10994 trial. EORTC 10994 is a phase III clinical trial comparing FEC with ET (epirubicin, docetaxel) in patients with large operable, locally advanced or inflammatory breast cancer (www.eortc.be). Frozen biopsies were taken at randomisation. RNA was extracted from 100um thickness of 14G core needle biopsies. Adjacent sections were tested by H&E to confirm >20% tumour cell content. 200 ng total RNA per chip was amplified using the Affymetrix small sample protocol (IVT then Enzo). 102 tumours were tested on Affymetrix X3P chips. Single biopsies were tested per tumour. The CEL files were quantile normalised using rma. The clinical response measure was pathological complete response (pCR, disappearance of the tumour after chemotherapy with at most scattered invasive cells detected by histology).
2008-12-19 | GSE4779 | GEO
Project description:Docetaxel is the standard first line therapy for hormone-refractory prostate cancer patients. Here we generated models of Docetaxel resistance in prostate cancer cells to study the molecular pathways that drive the acquisition of resistance to this therapy. We used microarrays to detail the global program of gene expression underlying the acquisition of Docetaxel resistance in prostate cancer cells.
2012-10-02 | GSE36135 | GEO
Project description:Docetaxel-based chemotherapy is the standard first-line therapy in metastatic castration-resistant prostate cancer. However, most patients eventually develop resistance to this treatment. The aim of the study was to identify key molecular genes and networks associated with docetaxel resistance in 2 models of docetaxel-resistant castration-resistant prostate cancer cell lines.
2012-01-01 | GSE33455 | GEO
Project description:Docetaxel is the standard first line therapy for hormone-refractory prostate cancer patients. Here we generated models of Docetaxel resistance in prostate cancer cells to study the molecular pathways that drive the acquisition of resistance to this therapy. We used microarrays to detail the global program of gene expression underlying the acquisition of Docetaxel resistance in prostate cancer cells. Parental Docetaxel-sensitive prostate cancer cell lines (DU145 and 22Rv1) and selected Docetaxel-resistant cells (DU145-DR and 22Rv1-DR) were harvested for RNA extraction and hybridization on Affymetrix microarrays. Samples were analyzed in triplicates in order to increase the resolution of expression profiles.
2012-10-02 | E-GEOD-36135 | biostudies-arrayexpress