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Molecular Classification of Epithelial Ovarian Cancer Based on Methylation Profiling: Evidence for Survival Heterogeneity.
Bodelon, Clara; Killian, J Keith; Sampson, Joshua N; Anderson, William F; Matsuno, Rayna; Brinton, Louise A; Lissowska, Jolanta; Anglesio, Michael S; Bowtell, David D L; Doherty, Jennifer A; Ramus, Susan J; Talhouk, Aline; Sherman, Mark E; Wentzensen, Nicolas.
Afiliação
  • Bodelon C; Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland. clara.bodelon@nih.gov.
  • Killian JK; Center for Cancer Research (CCR), NCI, NIH, Bethesda, Maryland.
  • Sampson JN; Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland.
  • Anderson WF; Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland.
  • Matsuno R; Foundation Medicine Inc., Cambridge, Massachusetts.
  • Brinton LA; University of California, San Diego, California.
  • Lissowska J; Division of Cancer Epidemiology and Genetics, NCI, NIH, Bethesda, Maryland.
  • Anglesio MS; M. Sklodowska-Curie Memorial Cancer Center and Institute of Oncology, Warsaw, Poland.
  • Bowtell DDL; Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, Canada.
  • Doherty JA; Department of Obstetrics and Gynaecology, University of British Columbia, Vancouver, Canada.
  • Ramus SJ; The Kinghorn Cancer Center, Garvan Institute of Medical Research, Sydney, Australia.
  • Talhouk A; Peter MacCallum Cancer Center, Melbourne, Australia.
  • Sherman ME; Department of Population Health Sciences, Huntsman Cancer Institute, University of Utah, Salt Lake City, Utah.
  • Wentzensen N; The Kinghorn Cancer Center, Garvan Institute of Medical Research, Sydney, Australia.
Clin Cancer Res ; 25(19): 5937-5946, 2019 Oct 01.
Article em En | MEDLINE | ID: mdl-31142506
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 Surveillance, Epidemiology, and End Results Residual Tissue Repository (SEER RTR). Analyses were restricted to Caucasian women. Methylation profiling was conducted using the Illumina 450K methylation array. For 45 tumors array copy number data were available. NanoString gene expression data for 39 genes were available for 61 high-grade serous carcinomas (HGSC).

RESULTS:

Consensus nonnegative matrix factorization clustering of the 1,000 most variable CpG sites showed four major clusters among all epithelial ovarian cancers. We observed statistically significant differences in survival (log-rank test, P = 9.1 × 10-7) and genomic instability across these clusters. Within HGSC, clustering showed three subgroups with survival differences (log-rank test, P = 0.002). Comparing models with and without methylation subgroups in addition to previously identified gene expression subtypes suggested that the methylation subgroups added significant survival information (P = 0.007).

CONCLUSIONS:

DNA methylation profiling of ovarian cancer identified novel molecular subgroups that had significant survival difference and provided insights into the molecular underpinnings of ovarian cancer.See related commentary by Ishak et al., p. 5729.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Carcinoma Epitelial do Ovário Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas / Carcinoma Epitelial do Ovário Tipo de estudo: Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article