Literature DB >> 22497737

Validating the impact of a molecular subtype in ovarian cancer on outcomes: a study of the OVCAD Consortium.

Dietmar Pils1, Gudrun Hager, Dan Tong, Stefanie Aust, Georg Heinze, Maria Kohl, Eva Schuster, Andrea Wolf, Jalid Sehouli, Ioana Braicu, Ignace Vergote, Isabelle Cadron, Sven Mahner, Gerda Hofstetter, Paul Speiser, Robert Zeillinger.   

Abstract

Most patients with epithelial ovarian cancer (EOC) are diagnosed at advanced stage and have a poor prognosis. However, a small proportion of these patients will survive, whereas others will die very quickly. Clinicopathological factors do not allow precise identification of these subgroups. Thus, we have validated a molecular subclassification as new prognostic factor in EOC. One hundred and ninety-four patients with Stage II-IV EOC were characterized by whole-genome expression profiling of tumor tissues and were classified using a published 112 gene set, derived from an International Federation of Gynecology and Obstetrics (FIGO) stage-directed supervised classification approach. The 194 tumor samples were classified into two subclasses comprising 95 (Subclass 1) and 99 (Subclass 2) tumors. All nine FIGO II tumors were grouped in Subclass 1 (P = 0.001). Subclass 2 (54% of advanced-stage tumors) was significantly correlated with peritoneal carcinomatosis and non-optimal debulking. Patients with Subclass 2 tumors had a worse overall survival for both serous and non-serous histological subtypes, as revealed by univariate analysis (hazard ratios [HR] of 3.17 and 17.11, respectively; P ≤ 0.001) and in models corrected for relevant clinicopathologic parameters (HR 2.87 and 12.42, respectively; P ≤ 0.023). Significance analysis of microarrays revealed 2082 genes that were differentially expressed in advanced-grade serous tumors of both subclasses and the focal adhesion pathway as the most deregulated pathway. In the present validation study, we have shown that, in advanced-stage serous ovarian cancer, two approximately equally large molecular subtypes exist, independent of classical clinocopathological parameters and presenting with highly different whole-genome expression profiles and a markedly different overall survival. Similar results were obtained in a small cohort of patients with non-serous tumors.
© 2012 Japanese Cancer Association.

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Year:  2012        PMID: 22497737     DOI: 10.1111/j.1349-7006.2012.02306.x

Source DB:  PubMed          Journal:  Cancer Sci        ISSN: 1347-9032            Impact factor:   6.716


  31 in total

Review 1.  Epithelial ovarian cancer - more data, more questions?

Authors:  Stefanie Aust; Dietmar Pils
Journal:  Wien Med Wochenschr       Date:  2014-11-13

2.  Myeloid antigen-presenting cell niches sustain antitumor T cells and license PD-1 blockade via CD28 costimulation.

Authors:  Jaikumar Duraiswamy; Riccardo Turrini; Aspram Minasyan; David Barras; Isaac Crespo; Alizée J Grimm; Julia Casado; Raphael Genolet; Fabrizio Benedetti; Alexandre Wicky; Kalliopi Ioannidou; Wilson Castro; Christopher Neal; Amandine Moriot; Stéphanie Renaud-Tissot; Victor Anstett; Noémie Fahr; Janos L Tanyi; Monika A Eiva; Connor A Jacobson; Kathleen T Montone; Marie Christine Wulff Westergaard; Inge Marie Svane; Lana E Kandalaft; Mauro Delorenzi; Peter K Sorger; Anniina Färkkilä; Olivier Michielin; Vincent Zoete; Santiago J Carmona; Periklis G Foukas; Daniel J Powell; Sylvie Rusakiewicz; Marie-Agnès Doucey; Denarda Dangaj Laniti; George Coukos
Journal:  Cancer Cell       Date:  2021-11-04       Impact factor: 31.743

3.  Consensus on Molecular Subtypes of High-Grade Serous Ovarian Carcinoma.

Authors:  Gregory M Chen; Lavanya Kannan; Ludwig Geistlinger; Victor Kofia; Zhaleh Safikhani; Deena M A Gendoo; Giovanni Parmigiani; Michael Birrer; Benjamin Haibe-Kains; Levi Waldron
Journal:  Clin Cancer Res       Date:  2018-07-03       Impact factor: 12.531

4.  Identification of key gene signatures for the overall survival of ovarian cancer.

Authors:  Akash Pawar; Oindrila Roy Chowdhury; Ruby Chauhan; Sanjay Talole; Atanu Bhattacharjee
Journal:  J Ovarian Res       Date:  2022-01-20       Impact factor: 4.234

5.  mEH Tyr113His polymorphism and the risk of ovarian cancer development.

Authors:  Jian-Hong Zhong; Zhi-Ming Zhang; Le-Qun Li
Journal:  J Ovarian Res       Date:  2013-06-06       Impact factor: 4.234

6.  Extreme learning machine Cox model for high-dimensional survival analysis.

Authors:  Hong Wang; Gang Li
Journal:  Stat Med       Date:  2019-01-10       Impact factor: 2.497

7.  Peritoneal tumor spread in serous ovarian cancer-epithelial mesenchymal status and outcome.

Authors:  Katharina Auer; Anna Bachmayr-Heyda; Stefanie Aust; Nyamdelger Sukhbaatar; Agnes Teresa Reiner; Christoph Grimm; Reinhard Horvat; Robert Zeillinger; Dietmar Pils
Journal:  Oncotarget       Date:  2015-07-10

8.  Treatment reality in elderly patients with advanced ovarian cancer: a prospective analysis of the OVCAD consortium.

Authors:  Fabian Trillsch; Linn Woelber; Christine Eulenburg; Ioana Braicu; Sandrina Lambrechts; Radoslav Chekerov; Els van Nieuwenhuysen; Paul Speiser; Alain Zeimet; Dan Cacsire Castillo-Tong; Nicole Concin; Robert Zeillinger; Ignace Vergote; Sven Mahner; Jalid Sehouli
Journal:  J Ovarian Res       Date:  2013-06-28       Impact factor: 4.234

9.  Ambivalent role of pFAK-Y397 in serous ovarian cancer--a study of the OVCAD consortium.

Authors:  Stefanie Aust; Katharina Auer; Anna Bachmayr-Heyda; Carsten Denkert; Jalid Sehouli; Ioana Braicu; Sven Mahner; Sandrina Lambrechts; Ignace Vergote; Christoph Grimm; Reinhard Horvat; Dan Cacsire Castillo-Tong; Robert Zeillinger; Dietmar Pils
Journal:  Mol Cancer       Date:  2014-03-21       Impact factor: 27.401

10.  Gene expression profiling of ovarian carcinomas and prognostic analysis of outcome.

Authors:  Sheng-Yun Cai; Tian Yang; Yu Chen; Jing-Wen Wang; Li Li; Ming-Juan Xu
Journal:  J Ovarian Res       Date:  2015-07-31       Impact factor: 4.234

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