RNAseq of triple negative breast cancer samples
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE206998 | GEO | 2022/10/20
REPOSITORIES: GEO
Similar Datasets
Project description:PURPOSE: Validated biomarkers predictive of response/resistance to anthracyclines in breast cancer are currently lacking. The neoadjuvant TOP trial, in which patients with estrogen receptor (ER)-negative tumors were treated with anthracycline (epirubicin) monotherapy, was specifically designed to evaluate the predictive value of topoisomerase IIα (TOP2A) and to develop a gene expression signature to identify those patients who do not benefit from anthracyclines. METHODS: The TOP trial included 149 patients, of which 141 were evaluable for response prediction analyses. The primary endpoint was pathological complete response (pCR). TOP2A and gene expression profiles were evaluated using pre-epirubicin biopsies. Gene expression data from ER-negative samples of the EORTC 10994/BIG 00-01 and MDACC 2003-0321 neoadjuvant trials were used for validation purposes. RESULTS: A pCR was obtained in 14% of the evaluable TOP patients. TOP2A amplification, but not protein overexpression, was significantly associated with pCR (p=0.001 and 0.22). We developed an “anthracycline-based score (A-Score)” that combines three signatures: a TOP2A gene signature and two previously published signatures related to tumor invasion and immune response. The A-Score was characterized by a high negative predictive value (NPV=0.98 [95% CI: 0.90-1.00]) overall, and in the HER2-negative and HER2-positive subpopulations. Its performance was independently confirmed in the anthracycline-based (FAC/FEC) arms of the two validation trials (BIG 00-01: 0.80 [0.61-0.92] and MDACC 2003-0321: 1.00 [0.80-1.00]). CONCLUSION: Given its high NPV, the A-Score could become, if further validated, a useful clinical tool to identify those patients who do not benefit from anthracyclines and could therefore be spared the non-negligible side effects. Predicting the efficacy of anthracyclines (epirubicin) in breast cancer (BC) patients (TOP trial) 120 microarray experiments from primary ER-negative breast tumors of anthracycline-treated patients. No replicate, no reference sample.
2010-01-26 | E-GEOD-16446 | biostudies-arrayexpress
Project description:Metabolism of anticancer drugs markedly affects their antitumor effects. The major goal of our study was to investigate associations of gene expression of enzymes metabolizing taxanes and/or anthracyclines with therapy response and survival of breast carcinoma patients The present study investigated transcript levels of key modulators of oxysterol signaling pathway, including oxysterol receptors, metabolic enzymes and transporters in the group of hormone-receptor positive breast carcinoma patients to evaluated potential clinical significance of these genes.
2017-04-06 | GSE85206 | GEO
Project description:PURPOSE: Validated biomarkers predictive of response/resistance to anthracyclines in breast cancer are currently lacking. The neoadjuvant TOP trial, in which patients with estrogen receptor (ER)-negative tumors were treated with anthracycline (epirubicin) monotherapy, was specifically designed to evaluate the predictive value of topoisomerase IIα (TOP2A) and to develop a gene expression signature to identify those patients who do not benefit from anthracyclines. METHODS: The TOP trial included 149 patients, of which 141 were evaluable for response prediction analyses. The primary endpoint was pathological complete response (pCR). TOP2A and gene expression profiles were evaluated using pre-epirubicin biopsies. Gene expression data from ER-negative samples of the EORTC 10994/BIG 00-01 and MDACC 2003-0321 neoadjuvant trials were used for validation purposes. RESULTS: A pCR was obtained in 14% of the evaluable TOP patients. TOP2A amplification, but not protein overexpression, was significantly associated with pCR (p=0.001 and 0.22). We developed an “anthracycline-based score (A-Score)” that combines three signatures: a TOP2A gene signature and two previously published signatures related to tumor invasion and immune response. The A-Score was characterized by a high negative predictive value (NPV=0.98 [95% CI: 0.90-1.00]) overall, and in the HER2-negative and HER2-positive subpopulations. Its performance was independently confirmed in the anthracycline-based (FAC/FEC) arms of the two validation trials (BIG 00-01: 0.80 [0.61-0.92] and MDACC 2003-0321: 1.00 [0.80-1.00]). CONCLUSION: Given its high NPV, the A-Score could become, if further validated, a useful clinical tool to identify those patients who do not benefit from anthracyclines and could therefore be spared the non-negligible side effects.
2010-01-26 | GSE16446 | GEO
Project description:Metabolism of anticancer drugs markedly affects their antitumor effects. The major goal of our study was to investigate associations of gene expression of enzymes metabolizing taxanes and/or anthracyclines with therapy response and survival of breast carcinoma patients The present study investigated differences in transcript levels of key modulators of oxysterol signaling pathway, including oxysterol receptors, metabolic enzymes and transporters in the groups of estrogen receptor positive (ER+) breast carcinomas in comparison to estrogen receptor negative (ER-) ones, and to control non-tumor tissues.
2017-04-06 | GSE85207 | GEO
Project description:Metabolism of anticancer drugs markedly affects their antitumor effects. The major goal of our study was to investigate associations of gene expression of enzymes metabolizing taxanes and/or anthracyclines with therapy response and survival of breast carcinoma patients AKR1A1 was significantly overexpressed and AKR1C1-4, KCNAB1, CYP2C19, CYP3A4, and CYP3A5 downregulated in tumors compared with control non-neoplastic tissues after correction for multiple testing. Significant associations of CYP2B6 levels in tumors with expression of hormonal receptors were found. Significantly higher intratumoral levels of AKR1C1, AKR1C2, and CYP2W1 were found in responders to NACT compared with non-responders. Patients with high AKR1C2 and CYP3A4 levels had significantly longer disease-free survival than patients with low levels.
2014-08-31 | GSE56259 | GEO
Project description:Metabolism of anticancer drugs markedly affects their antitumor effects. The major goal of our study was to investigate associations of gene expression of enzymes metabolizing taxanes and/or anthracyclines with therapy response and survival of breast carcinoma patients AKR1A1 was significantly overexpressed and AKR1C1-4, KCNAB1, CYP2C19, CYP3A4, and CYP3A5 downregulated in tumors compared with control non-neoplastic tissues after correction for multiple testing. Significant associations of CYP2B6 levels in tumors with expression of hormonal receptors were found. Significantly higher intratumoral levels of AKR1C1, AKR1C2, and CYP2W1 were found in responders to NACT compared with non-responders. Patients with high AKR1C2 and CYP3A4 levels had significantly longer disease-free survival than patients with low levels. Transcript levels of twenty-four selected human metabolic genes (CYPs and AKRs) were determined by qPCR in post-treatment tumor and non-neoplastic tissue samples from 68 breast carcinoma patients treated by anthracycline and/or taxane based neoadjuvant chemotherapy. EIF2B1, MRPL19, IPO8, and UBB were used as reference genes for data normalization.
2014-08-31 | E-GEOD-56259 | biostudies-arrayexpress
Project description:Background Cancer staging and treatment presumes a division into localized or metastatic disease. We proposed an intermediate state defined by ≤5 cumulative metastasis(es), termed oligometastases. In contrast to widespread polymetastases, oligometastatic patients may benefit from metastasis-directed local treatments. However, many patients who initially present with oligometastases progress to polymetastases. Predictors of progression could improve patient selection for metastasis-directed therapy. Methods Here, we identified patterns of microRNA expression of tumor samples from oligometastatic patients treated with high-dose radiotherapy. Results Patients who failed to develop polymetastases are characterized by unique prioritized features of a microRNA classifier that includes the microRNA-200 family. We created an oligometastatic-polymetastatic xenograft model in which the patient-derived microRNAs discriminated between the two metastatic outcomes. MicroRNA-200c enhancement in an oligometastatic cell line resulted in polymetastatic progression. Conclusions These results demonstrate a biological basis for oligometastases and a potential for using microRNA expression to identify patients most likely to remain oligometastatic after metastasis-directed treatment.
2010-11-25 | GSE25552 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE25552: microRNA epxression patterns can discriminate between patients with oligometastatic and polymetastatic progression: tissues GSE25967: microRNA epxression patterns can discriminate between patients with oligometastatic and polymetastatic progression: cell lines Refer to individual Series
2010-12-09 | E-GEOD-25968 | biostudies-arrayexpress
Project description:The regulator for chloroplast biogenesis (rcb) mutant was identified as a mutant defective in phytochrome-mediated chloroplast biogenesis. The rcb mutant has long hypocotyl and albino phenotypes. RCB initiates chloroplast biogenesis in the nucleus by promoting the degradation of the master repressors for chloroplast biogenesis, the PIFs (Phytochrome Interacting Factors). To understand how RCB regulates the expression of PIF-regulated genes, we performed genome-wide expression analysis of RCB-dependent genes using a rcb-10 null allele.
2019-06-20 | GSE122351 | GEO
Project description:Cancer staging and treatment frequently assume a binary division of tumors into localized or metastatic cancers. We proposed a state of metastatic disease defined by the number of metastases termed oligometastases. Patients with oligometastatic disease may be cured with localized methods of cancer treatment. We analyzed miRNA expression from paraffin blocks of primary or metastatic tumor samples derived from oligometastatic (≤ 5 metastases) patients treated with high dose localized radiotherapy. We report patterns of miRNA expression in the metastatic and primary tumor samples that identify patients who failed to progress to widespread polymetastases. We created a model of oligometastases of human tumors in immune compromised mice. The miRNA patterns of gene expression derived from patients accurately identified oligometastatic patterns in the mouse model as compared to animals that developed widespread metastases. MiRNA signatures may identify patients most likely to benefit from aggressive curative treatment of limited metastatic disease. Tissues: We collected samples from 5 patients with both primary and metastatic tumors available for analysis, 20 patients with primary tumors only, and 9 patients with metastatic tumors only. Eleven of these patients were analyzed retrospectively, while 23 patients were included prospectively from a previously reported radiotherapy protocol for oligometastatsis. Total RNA were derived from FFPE primary and metastatic tissue samples.
2010-11-25 | E-GEOD-25552 | biostudies-arrayexpress