High-risk HPV is not associated with epithelial ovarian cancer in a Caucasian population

Dataset containing information on individual samples and PCR reactions. (XLSM 26 kb

Identification and validation of potential prognostic and predictive miRNAs of epithelial ovarian cancer.

BACKGROUND:Ovarian cancer is the leading cause of death by gynecologic cancers in the Western world. The aim of the study was to identify microRNAs (miRNAs) associated with prognosis and/or resistance to chemotherapy among patients with epithelial ovarian cancer. METHODS:Using information from the Pelvic Mass Study we identified a cohort of women with epithelial ovarian cancer. Tumor tissues were then collected and analyzed by global miRNA microarrays. MiRNA profiling was then linked to survival and time to progression using Cox proportional-hazards regression models. Logistic regression models were used for the analysis of resistance to chemotherapy. Our results were validated using external datasets retrieved from the NCBI Gene Expression Omnibus database. RESULTS:A total of 197 patients with epithelial ovarian cancer were included for miRNA microarray analysis. In multivariate analyses we identified a number of miRNAs significantly correlated with overall survival (miR-1183 (HR: 1.42, 95% CI:1.17-1.74, p = 0.0005), miR-126-3p (HR: 1.38, 95% CI:1.11-1.71, p = 0.0036), time to progression (miR-139-3p (HR: 1.48, 95% CI: 1.13-1.94, p = 0.0047), miR-802 (HR: 0.48, 95% CI: 0.29-0.78, p = 0.0035)), progression free survival (miR-23a-5p (HR:1.32, 95% CI:1.09-1.61, p = 0.004), miR-23a-3p (HR:1.70, 95% CI:1.15-2.51, p = 0.0074), miR-802 (HR: 0.48, 95% CI: 0.29-0.80, p = 0.0048)), and resistance to chemotherapy (miR-1234 (HR: 0.26, 95% CI: 0.11-0.64, p = 0.003)). A few miRNAs identified in our training cohort, were validated in external cohorts with similar results. CONCLUSION:Eight miRNAs were identified as significant predictors of overall survival, progression free survival, time to progression, and chemotherapy resistance. A number of these miRNAs were significantly validated using external datasets. Inter-platform and inter-laboratory variations may have influence on the ability to compare and reproduce miRNA results. The use of miRNAs as potential markers of relapse and survival in ovarian cancer warrants further investigation

MicroRNA characteristics in epithelial ovarian cancer.

The purpose of the current study was to clarify differences in microRNA expression according to clinicopathological characteristics, and to investigate if miRNA profiles could predict cytoreductive outcome in patients with FIGO stage IIIC and IV ovarian cancer. Patients enrolled in the Pelvic Mass study between 2004 and 2010, diagnosed and surgically treated for epithelial ovarian cancer, were used for investigation. MicroRNA was profiled from tumour tissue with global microRNA microarray analysis. Differences in miRNA expression profiles were analysed according to histologic subtype, FIGO stage, tumour grade, type I or II tumours and result of primary cytoreductive surgery. One microRNA, miR-130a, which was found to be associated with serous histology and advanced FIGO stage, was also validated using data from external cohorts. Another seven microRNAs (miR-34a, miR-455-3p, miR-595, miR-1301, miR-146-5p, 193a-5p, miR-939) were found to be significantly associated with the clinicopathological characteristics (p ≤ 0.001), in our data, but mere not similarly significant when tested against external cohorts. Further validation in comparable cohorts, with microRNA profiled using newest and similar methods are warranted