4.6 Article

Tumor microRNA expression patterns associated with resistance to platinum based chemotherapy and survival in ovarian cancer patients

Journal

GYNECOLOGIC ONCOLOGY
Volume 114, Issue 2, Pages 253-259

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ygyno.2009.04.024

Keywords

MicroRNA; Ovarian cancer; Platinum resistance

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Background. Ovarian cancer, the leading cause of gynecologic cancer deaths, is usually diagnosed in advanced stages. Prognosis relates to stage at diagnosis and sensitivity to platinum based chemotherapy. We aimed to assess the expression of microRNAs in ovarian tumors and identify microRNA expression patterns that are associated with outcome, response to chemotherapy and survival. Methods, Patients, who were surgically treated for Ovarian cancer between January 2000 and December Patient charts were reviewed for clinicopathologic information, follow-up and survival. 2004 were identified. Total RNA was extracted from tumor samples and microRNA expression levels were measured by microarrays. Expression levels were compared between groups of samples and statistically analyzed. Results. Fifty-seven patients were identified to fit Study criteria. Of them, 19 patients had stage I disease at diagnosis, and 38 patients, stage III. All patients received platinum based chemotherapy as first line treatment. 18 microRNAs were differentially expressed (p<0.05) between stage I and stage III disease. Seven microRNAs were found to be significantly differentially expressed in tumors from platinum-sensitive vs. platinum-resistant patients (p<0.05). Five microRNAs were associated with significant differences (p<0.05) in Survival or recurrence-free Survival. High expression of hsa-mir-27a identified a sub-group of patients with very poor prognosis. Conclusions. We have found an array Of tumor specific markets that are associated with response to platinum based first line chemotherapy. Expression of some of these miRNAs also correlated closely with prognosis. This approach can potentially be used to tailor chemotherapy and further management to specific patient needs. (C) 2009 Elsevier Inc. All rights reserved.

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