Gene Expression Profile for Predicting Survival in Advanced-Stage Serous Ovarian Cancer Across Two Independent Datasets

Kosuke Yoshihara, Atsushi Tajima, Tetsuro Yahata, Shoji Kodama, Hiroyuki Fujiwara, Mitsuaki Suzuki, Yoshitaka Onishi, Masayuki Hatae, Kazunobu Sueyoshi, Hisaya Fujiwara, Yoshiki Kudo, Kohei Kotera, Hideaki Masuzaki, Hironori Tashiro, Hidetaka Katabuchi, Ituro Inoue and Kenichi Tanaka

PLOS ONE, 2010, vol. 5, issue 3, 1-13

Abstract: Background: Advanced-stage ovarian cancer patients are generally treated with platinum/taxane-based chemotherapy after primary debulking surgery. However, there is a wide range of outcomes for individual patients. Therefore, the clinicopathological factors alone are insufficient for predicting prognosis. Our aim is to identify a progression-free survival (PFS)-related molecular profile for predicting survival of patients with advanced-stage serous ovarian cancer. Methodology/Principal Findings: Advanced-stage serous ovarian cancer tissues from 110 Japanese patients who underwent primary surgery and platinum/taxane-based chemotherapy were profiled using oligonucleotide microarrays. We selected 88 PFS-related genes by a univariate Cox model (p

Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0009615

DOI: 10.1371/journal.pone.0009615

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