Journal article
Molecular classification of epithelial ovarian cancer based on methylation profiling: Evidence for survival heterogeneity
C Bodelon, J Keith Killian, JN Sampson, WF Anderson, R Matsuno, LA Brinton, J Lissowska, MS Anglesio, DDL Bowtell, JA Doherty, SJ Ramus, A Talhouk, ME Sherman, N Wentzensen
Clinical Cancer Research | AMER ASSOC CANCER RESEARCH | Published : 2019
Abstract
Purpose: Ovarian cancer is a heterogeneous disease that can be divided into multiple subtypes with variable etiology, pathogenesis, and prognosis. We analyzed DNA methylation profiling data to identify biologic subgroups of ovarian cancer and study their relationship with histologic subtypes, copy number variation, RNA expression data, and outcomes. Experimental Design: A total of 162 paraffin-embedded ovarian epithelial tumor tissues, including the five major epithelial ovarian tumor subtypes (high- and low-grade serous, endometrioid, mucinous, and clear cell) and tumors of low malignant potential were selected from two different sources: The Polish Ovarian Cancer study, and the Surveillanc..
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Awarded by BC Cancer Foundation
Funding Acknowledgements
This research was supported by the Intramural Research Program of the NCI. In addition, S.J. Ramus acknowledges support by the grant "Identifying Prognostic Markers and Therapeutic Targets for Serous Ovarian Cancer" (R01-CA172404), J.A. Doherty acknowledges support by the grant "Epidemiologic factors and survival by molecular subtypes of ovarian cancer" (R01-CA168758), and M.S. Anglesio acknowledges support by the Canadian Institutes of Health Research (CIHR) Proof of Principle (phase I) grant "PrOTYPE: An Enabling Technology to Improve Ovarian Cancer Care" and funding from the Janet D. Cottrelle Foundation Scholar Program administered by the BC Cancer Foundation.