4.6 Article

A distinctive ovarian cancer molecular subgroup characterized by poor prognosis and somatic focal copy number amplifications at chromosome 19

Journal

GYNECOLOGIC ONCOLOGY
Volume 132, Issue 2, Pages 343-350

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ygyno.2013.11.036

Keywords

Ovary; Copy number; Serous; Carcinoma; Prognosis; Clustering

Funding

  1. Asan Institute for Life Sciences, Seoul, Korea [2013-550]

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Objective. High-grade serous ovarian cancer (HGS-OvCa), the most common epithelial ovarian cancer, is very complex and heterogeneous at the molecular level. The identification of intrinsic HGS-OvCa subgroups characterized by specific molecular alterations and aggressive behavior could improve patient treatment Methods. High-resolution copy number data for 560 HGS-OvCa patients and gene expression data obtained from the TCGA database were analyzed to identify distinct molecular subgroups based on significant focal somatic copy number alterations (SCNAs). Results. Using unsupervised consensus clustering, a subgroup accounting for 26.8% of the patients (150/560 patients) characterized by focal somatic copy number amplification at chromosome 19 was identified. The subgroup was independently associated by multivariate Cox regression analysis with poor overall (HR, 1.61; P = 0.001) and progression-free survival (HR, 1.36; P = 0.036). The specific focal SCNA locations were 19p13.2, 19p13.12, 19p13.11, 19q12, 19q13.12, and 19q13.2. The differential gene expression signature of the subgroup compared with that of the remaining patients also suggested that chromosome 19 was the mainly amplified region. The clinical significances of subgroup 2 were validated in independent data sets using the gene expression signature characteristics. In addition, the subgroup had a tendency toward mutual exclusivity with patients with BRCA1/2 mutations. The most significantly altered pathway of the subgroup was the cyclin and cell cycle regulation pathway. Conclusion. A unique molecular subgroup associated with poor survival was identified based on focal SCNAs and could aid the further molecular classification of ovarian cancers. (C) 2013 Elsevier Inc. All rights reserved.

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