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Molecular profiling of ovarian carcinoma platinum-sensitive and -resistant cell lines (microRNAs)

ABSTRACT: Resistance to platinum compounds represents a major obstacle to the cure of ovarian carcinoma. The molecular profiling of drug-sensitive and drug-resistant cells may be helpful to clarify if altered expression of miRNAs can contribute to the drug-resistant phenotype. The expression pattern of miRNAs of three ovarian carcinoma cell lines was examined. The analysis revealed the modulation of several miRNAs in the two platinum-resistant cell lines as compared to parental platinum-sensitive cells. The integration of the information obtained through miRNA expression analysis may be useful to clarify the specific molecular alterations of factors and pathway favouring survival of tumor cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE58469 | GEO | 2018/06/26

REPOSITORIES: GEO

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Project description:Purpose: Despite advances in radical surgery and chemotherapy delivery, ovarian cancer is the most lethal gynecologic malignancy. Most of these patients are treated with platinum-based chemotherapies, but there is no biomarker model to guide their responses to these therapeutic agents. We have developed and independently tested our novel multivariate molecular predictors for forecasting patients' responses to individual drugs on a cohort of 58 ovarian cancer patients. Experimental Design: We adapted and applied the previously-published COXEN algorithm to develop molecular predictors for therapeutic responses of patients' tumors based on expression signatures derived from the NCI-60 in vitro drug activities and genomic expression data. Genome-wide candidate biomarkers were first triaged by examining expression patterns of frozen and formalin-fixed paraffin embedded (FFPE) tissue samples. We then identify initial drug sensitivity biomarkers for carboplatin and paclitaxel, respectively. These biomarkers were further narrowed by examining concordant expression patterns between cell lines and a historical set of ovarian cancer patients. Multivariate predictors were obtained from the NCI-60 cell lines and refined using historical patient cohorts. To independent validate these molecular predictors, we performed genome-wide profiling on FFPE samples of 58 ovarian cancer patients obtained prior to adjuvant chemotherapy. Results: Carboplatin predictor significantly stratified platinum sensitive and resistant patients (p = 0.019) with sensitivity = 93%, specificity = 33%, PPV = 65%, and NPV = 78%. Paclitaxel predictor also significantly stratified patients' responses (p = 0.033) with sensitivity = 96%, specificity = 26%, PPV = 61%, and NPV = 86%. The combination predictor for platinum-taxane combination demonstrated a significant survival difference between the predicted responders and nonresponders with median survival of 12.9 months vs. 8.1 months (p = 0.045). Conclusions: COXEN predictors successfully stratified platinum resistance and taxane response in this retrospective cohort, especially based on their FFPE tumor samples. Accurate prediction of chemotherapeutic response, especially to platinum agents is highly clinically relevant and could alter primary management of ovarian cancer. Gene expression data from 58 stage III-IV ovarian cancer patients treated with Carboplatin and Taxol agents

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Molecular profiling of ovarian carcinoma platinum-sensitive and -resistant cell lines (microRNAs)

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