Global gene expression analysis of anthracycline-resistant breast cancer cell lines
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Marsela Braunstein
PROVIDER: E-GEOD-54326 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Drug resistance in breast cancer is the major obstacle to a successful outcome following chemotherapy treatment. While upregulation of multidrug resistance (MDR) genes is a key component of drug resistance in multiple cancers, the complexity and hierarchy of non-MDR driven drug resistance pathways are still largely unknown. The aim of this study was to identify pathways contributing to anthracycline resistance using isogenic drug resistant breast cancer cell lines. We generated isogenic MDA-MB-231, MCF7, SKBR3 and ZR-75-1 epirubicin-resistant breast cancer cell lines, which were cross-resistant to doxorubicin and SN-38; the SKBR3 cell line was also resistant to taxanes. Epirubicin-resistant cells were morphologically different from native cells, and had alterations in apoptosis and cell cycle profile. Using gene expression and small-molecule inhibitor analyses we identified deregulation of histone H2A and H2B genes in all four cell lines. These genes contribute to several biological pathways, which include cell cycle, chromosomal maintenance, epigenetics, RNA and mitochondrial transcription. Histone deacetylase and cell cycle/DNA damage small molecule inhibitors reversed resistance and were cytotoxic for all four epirubicin-resistant cell lines confirming that histone and cell cycle pathways are associated with epirubicin resistance. This study has established model systems for investigating drug resistance in all four breast cancer subtypes and revealed key pathways that contribute to anthracycline resistance.
2014-01-24 | GSE54326 | GEO
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: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 (5beta-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
2008-07-16 | GSE12115 | 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: 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:Development of chemotherapy resistance is a critical barrier in cancer treatment. Increased reliance on mitochondrial metabolism has been described as a distinctive characteristic of resistant cancers, however it is unknown whether enhanced oxidative metabolism is an intrinsic property or whether the metabolic signature of resistant cancers is dependent on the therapeutics. In this study, we used microarrays to detail the differences in global gene expression between anthracycline-resistant and -sensitive breast cancer cells. Taken together with metabolomics, bioenergetics, and functional experiments, we show that two anthracyclines (doxorubicin and epirubicin) elicit distinct metabolic adaptations in breast cancer and that interfering with global metabolic regulators can overcome resistance to different therapeutic agents by their ability to simultaneously interfere with numerous metabolic pathways.
2021-06-14 | GSE125187 | 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:Malignant carcinomas that recur following therapy are typically de-differentiated and multi-drug resistant (MDR). De-differentiated cancer cells acquire MDR by upregulating reactive oxygen species (ROS)-scavenging enzymes and drug efflux pumps, but how these genes are upregulated in response to de-differentiation is not known. Here, we examine this question by using global transcriptional profiling to identify ROS-induced genes that are already upregulated in de-differentiated cells, even in the absence of oxidative damage. Using this approach, we found that the Nrf2 transcription factor, which is the master regulator of cellular response to oxidative stress, is pre-activated in de-differentiated cells. In de-differentiated cells, Nrf2 is not activated by oxidation but rather through a non-canonical mechanism involving its phosphorylation by the ER membrane kinase PERK. In contrast, differentiated cells require oxidative damage to activate Nrf2. Constitutive PERK-Nrf2 signaling protects de-differentiated cells from chemotherapy by reducing ROS levels and increasing drug efflux. These findings are validated in therapy-resistant basal breast cancer cell lines and animal models, where inhibition of the PERK-Nrf2 signaling axis reversed the MDR of de-differentiated cancer cells. Additionally, analysis of patient tumor datasets showed that a PERK pathway signature correlates strongly with chemotherapy resistance, tumor grade, and overall survival. Collectively, these results indicate that de-differentiated cells upregulate MDR genes via PERK-Nrf2 signaling, and suggest that targeting this pathway could sensitize drug-resistant cells to chemotherapy. Differentiated human breast epithelial cells (HMLE-shGFP) or de-differentiated cells (HMLE-Twist) were treated in culture with 40uM menadione for 2 hours or 1uM PERK inhibitor for 48 hours and compared to control DMSO-treated cells.
2014-10-01 | E-GEOD-59780 | biostudies-arrayexpress
Project description:Resistance to chemotherapy is one of the most relevant aspects of treatment failure in cancer. Cell lines are used as models to study resistance. We analyze the transcriptional profile of two multidrug resistant (MDR) cell lines (Lucena 1 and FEPS) derived from the same drug-sensitive cell K562. Microarray data identified 130 differentially expressed genes (DEG) between K562 vs Lucena, 1,932 between K562 vs FEPS, and 1,211 between Lucena 1 versus FEPS. The NOTCH pathway was affected in FEPS with overexpression of NOTCH2 and HEY1. The highly overexpressed gene in MDR cell was ABCB1, and both presented the ABCB1 promoter unmethylated.
2015-01-01 | GSE57470 | 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. 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: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