Expression data from doxorubicin-resistant hepatoma cells
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE125180 | GEO | 2019/01/17
REPOSITORIES: GEO
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Project description:Expression data from doxorubicin-resistant hepatoma cells
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Project description:To identify methylation levels of primary hepatoma (HCC) and cells We used microarray to detail the global programme of DNA methylation in HCC
2014-07-15 | GSE59405 | GEO
Project description:Reliable clinical tests for predicting cancer chemotherapy response are not available and individual markers failed to correctly predict resistance against anticancer agents. We hypothesized that gene expression patterns attributable to chemotherapy-resistant cells can be used as a classification tool for chemoresistance and provide novel candidate genes involved in anthracycline resistance mechanisms. We contrasted the expression profiles of 4 different human tumor cell lines of gastric, pancreatic, colon and breast origin and of their counterparts resistant to the topoisomerase inhibitors daunorubicin or doxorubicin. We also profiled the sensitive parental cells treated with doxorubicin for 24h. We interrogated Affymetrix HGU133A and U95A arrays independently. We applied two independent methods for data normalization and used Prediction Analysis of Microarrays (PAM) for feature selection. In addition, we established data sets related to drug resistance by using a “virtual array” composed of features represented on both types of oligonucleotide arrays. We identified 71 candidate genes associated with doxorubicine/daunorubicine resistance. To validate the microarray data, we also analyzed the expression of 12 selected genes by quantitative RT-PCR or immunocytochemistry, respectively. While the comparison of drug-sensitive versus drug-resistant cells yields candidates associated with drug resistance, the 24h treatment of sensitive parental cells produced a distinct transcriptional profile related to short-term drug effects. Keywords: cell type comparison See Summary. Note: this series includes Affymetrix HGU95A chips (difference between resistant and parental cell lines).
2010-04-15 | E-GEOD-3927 | biostudies-arrayexpress
Project description:Title: Analysis of gene expression changes involved in the development of acquired drug resistance.<br> Description: In vitro model of drug resistance consisting of 5 parental cell lines and 3 drug resistant variants by culturing the former continuously in the presence of cytotoxic drug doxorubicin. Model used to identify genes involved in the drug resistant phenotype.
2006-09-01 | E-MIMR-11 | biostudies-arrayexpress
Project description:Analysis of varied biologic pathways in neuroblastoma SK-N-SH cells grown in doxorubicin and/or SAHA. The hypothesis was that SK-N-SH cells undergo a mesenchymal change through mesenchymal change resulting in a more invasive as well as drug resistant phenotype, and that the mechanism of SAHAs effect on drug resistance may be revealed through this analysis. Total RNA was isolated from wild type, SAHA treated wild type cells, doxorubicin resistant, and SAHA treated doxorubicin resistant SK-N-SH cell lines in triplicate.
2016-05-31 | E-GEOD-47668 | biostudies-arrayexpress
Project description:Reliable clinical tests for predicting cancer chemotherapy response are not available and individual markers failed to correctly predict resistance against anticancer agents. We hypothesized that gene expression patterns attributable to chemotherapy-resistant cells can be used as a classification tool for chemoresistance and provide novel candidate genes involved in anthracycline resistance mechanisms. We contrasted the expression profiles of 4 different human tumor cell lines of gastric, pancreatic, colon and breast origin and of their counterparts resistant to the topoisomerase inhibitors daunorubicin or doxorubicin. We also profiled the sensitive parental cells treated with doxorubicin for 24h. We interrogated Affymetrix HGU133A and U95A arrays independently. We applied two independent methods for data normalization and used Prediction Analysis of Microarrays (PAM) for feature selection. In addition, we established data sets related to drug resistance by using a âvirtual arrayâ composed of features represented on both types of oligonucleotide arrays. We identified 71 candidate genes associated with doxorubicine/daunorubicine resistance. To validate the microarray data, we also analyzed the expression of 12 selected genes by quantitative RT-PCR or immunocytochemistry, respectively. While the comparison of drug-sensitive versus drug-resistant cells yields candidates associated with drug resistance, the 24h treatment of sensitive parental cells produced a distinct transcriptional profile related to short-term drug effects. Keywords: cell type and treatment comparison See Summary. Note: this series includes Affymetrix HGU133A chips (difference between resistance and treatment response).
2010-04-27 | E-GEOD-3926 | biostudies-arrayexpress
Project description:Analysis of varied biologic pathways in neuroblastoma SK-N-Be(2)C cells grown in doxorubicin and/or SAHA. We hypothesized that SK-N-Be(2)C cells undergo a mesenchymal change through mesenchymal change resulting in a more invasive as well as drug resistant phenotype, and that the mechanism of SAHAs effect on drug resistance may be revealed through this analysis. Total RNA was isolated from wild type, SAHA treated wild type cells, doxorubicin resistant, and SAHA treated doxorubicin resistant SK-N-Be(2)C cell lines in triplicate.
2016-05-31 | E-GEOD-47669 | biostudies-arrayexpress
Project description:Recent studies have suggested that elevated expression of aldoketoreductase (AKR) 1C1 or 1C2 in tumour cells is associated with increased resistance to DNA damaging agents such as cisplatin and doxorubicin. However, it has not been shown whether selection of tumour cells for resistance to DNA-damaging anthracyclines actually results in increased expression of AKRs and increased conversion of anthracyclines to 10-fold less toxic 13-hydroxy metabolites. It is also unclear whether the induction of aldokeoreductases is temporally correlated with the onset of anthracycline resistance and whether there is a direct relationship between the level of AKR expression or activity and the magnitude of drug resistance. Through microarray profiling of MCF-7 breast cancer cells selected for progressive resistance to doxorubicin or epirubicin, we have identified several genes whose expression has been correlated with both the onset and magnitude of drug resistance, including a “1C” AKR. AKR 1C overexpression was verified by quantitative PCR. Also associated with the onset of anthracycline resistance were genes involved in drug transport (ABCB1), cell signaling and transcription (RDC1, CXCR4), cell proliferation or apoptosis (BMP7, CAV1), ROS protection (TXNRD1, MT2A), and structural or immune system proteins (IFI30, STMN1). Consistent with the role of AKRs in anthracycline resistance, doxorubicin- and epirubicin-resistant breast tumour cells exhibited 2.2-fold and 6.1-fold higher levels of the 13-hydroxy metabolite of doxorubicin (doxorubicinol) than wildtype MCF-7 cells. In addition, an inhibitor of AKR 1C2 (5- cholanic acid) almost completely restored sensitivity to doxorubicin in Abcb1-deficient doxorubicin-resistant cells, while having no effect on Abcb1-expressing epirubicin-resistant cells. Taken together, our findings strongly suggest the involvement of multiple genes in the acquisition of anthracycline resistance in breast tumor cells---in particular redox genes such as the 1C AKRs. Keywords: Drug resistance of breast cancer cells In order to identify genes whose expression strongly correlates with the acquisition or magnitude of drug resistance or are temporally related with the acquisition of resistance, we selected MCF-7 breast tumor cells for survival in increasing concentrations (doses) of doxorubicin or epirubicin. Panels of cells exhibiting progressive resistance to either doxorubicin (MCF-7DOX-2) or epirubicin (MCF-7EPI) were obtained. Cells were also “selected” in the absence of drug at each step during selection to serve as co-cultured control (MCF-7CC) cells. In this study, we have used cDNA microarray analysis of these cell lines to identify a variety of “redox” genes whose expression can be correlated with the acquisition or magnitude of drug resistance in MCF-7DOX-2 and MCF-7EPI cells, including a “1C” aldoketoreductase (AKR).
2008-07-16 | E-GEOD-12115 | biostudies-arrayexpress
Project description:Reliable clinical tests for predicting cancer chemotherapy response are not available and individual markers failed to correctly predict resistance against anticancer agents. We hypothesized that gene expression patterns attributable to chemotherapy-resistant cells can be used as a classification tool for chemoresistance and provide novel candidate genes involved in anthracycline resistance mechanisms. We contrasted the expression profiles of 4 different human tumor cell lines of gastric, pancreatic, colon and breast origin and of their counterparts resistant to the topoisomerase inhibitors daunorubicin or doxorubicin. We also profiled the sensitive parental cells treated with doxorubicin for 24h. We interrogated Affymetrix HGU133A and U95A arrays independently. We applied two independent methods for data normalization and used Prediction Analysis of Microarrays (PAM) for feature selection. In addition, we established data sets related to drug resistance by using a “virtual array” composed of features represented on both types of oligonucleotide arrays. We identified 71 candidate genes associated with doxorubicine/daunorubicine resistance. To validate the microarray data, we also analyzed the expression of 12 selected genes by quantitative RT-PCR or immunocytochemistry, respectively. While the comparison of drug-sensitive versus drug-resistant cells yields candidates associated with drug resistance, the 24h treatment of sensitive parental cells produced a distinct transcriptional profile related to short-term drug effects. Keywords: superSeries This reference Series links data in the following related Series: GSE3926 Anthracycline treatment and resistance in four human cancer cell lines (HGU133A) GSE3927 Anthracycline resistance in four human cancer cell lines (HGU95A)
2010-04-14 | E-GEOD-3929 | biostudies-arrayexpress
Project description:Reliable clinical tests for predicting cancer chemotherapy response are not available and individual markers failed to correctly predict resistance against anticancer agents. We hypothesized that gene expression patterns attributable to chemotherapy-resistant cells can be used as a classification tool for chemoresistance and provide novel candidate genes involved in anthracycline resistance mechanisms. We contrasted the expression profiles of 4 different human tumor cell lines of gastric, pancreatic, colon and breast origin and of their counterparts resistant to the topoisomerase inhibitors daunorubicin or doxorubicin. We also profiled the sensitive parental cells treated with doxorubicin for 24h. We interrogated Affymetrix HGU133A and U95A arrays independently. We applied two independent methods for data normalization and used Prediction Analysis of Microarrays (PAM) for feature selection. In addition, we established data sets related to drug resistance by using a “virtual array” composed of features represented on both types of oligonucleotide arrays. We identified 71 candidate genes associated with doxorubicine/daunorubicine resistance. To validate the microarray data, we also analyzed the expression of 12 selected genes by quantitative RT-PCR or immunocytochemistry, respectively. While the comparison of drug-sensitive versus drug-resistant cells yields candidates associated with drug resistance, the 24h treatment of sensitive parental cells produced a distinct transcriptional profile related to short-term drug effects. Keywords: cell type comparison
2010-04-15 | GSE3927 | GEO