1. Multidrug resistance-linked gene signature predicts overall survival of patients with primary ovarian serous carcinoma.
- Author
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Gillet JP, Calcagno AM, Varma S, Davidson B, Bunkholt Elstrand M, Ganapathi R, Kamat AA, Sood AK, Ambudkar SV, Seiden MV, Rueda BR, and Gottesman MM
- Subjects
- Adult, Aged, Aged, 80 and over, Antineoplastic Combined Chemotherapy Protocols therapeutic use, Biomarkers, Tumor genetics, Carboplatin administration & dosage, Cystadenocarcinoma, Serous drug therapy, Cystadenocarcinoma, Serous mortality, Female, Gene Expression Profiling, Humans, Middle Aged, Ovarian Neoplasms drug therapy, Ovarian Neoplasms mortality, Paclitaxel administration & dosage, Prognosis, Cystadenocarcinoma, Serous genetics, Drug Resistance, Neoplasm genetics, Genes, MDR, Ovarian Neoplasms genetics
- Abstract
Purpose: This study assesses the ability of multidrug resistance (MDR)-associated gene expression patterns to predict survival in patients with newly diagnosed carcinoma of the ovary. The scope of this research differs substantially from that of previous reports, as a very large set of genes was evaluated whose expression has been shown to affect response to chemotherapy., Experimental Design: We applied a customized TaqMan low density array, a highly sensitive and specific assay, to study the expression profiles of 380 MDR-linked genes in 80 tumor specimens collected at initial surgery to debulk primary serous carcinoma. The RNA expression profiles of these drug resistance genes were correlated with clinical outcomes., Results: Leave-one-out cross-validation was used to estimate the ability of MDR gene expression to predict survival. Although gene expression alone does not predict overall survival (OS; P = 0.06), four covariates (age, stage, CA125 level, and surgical debulking) do (P = 0.03). When gene expression was added to the covariates, we found an 11-gene signature that provides a major improvement in OS prediction (log-rank statistic P < 0.003). The predictive power of this 11-gene signature was confirmed by dividing high- and low-risk patient groups, as defined by their clinical covariates, into four specific risk groups on the basis of expression levels., Conclusion: This study reveals an 11-gene signature that allows a more precise prognosis for patients with serous cancer of the ovary treated with carboplatin- and paclitaxel-based therapy. These 11 new targets offer opportunities for new therapies to improve clinical outcome in ovarian cancer.
- Published
- 2012
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