%0 Journal Article
%T Gene Expression Profile for Predicting Survival in Advanced-Stage Serous Ovarian Cancer Across Two Independent Datasets
%A Kosuke Yoshihara
%A Atsushi Tajima
%A Tetsuro Yahata
%A Shoji Kodama
%A Hiroyuki Fujiwara
%A Mitsuaki Suzuki
%A Yoshitaka Onishi
%A Masayuki Hatae
%A Kazunobu Sueyoshi
%A Hisaya Fujiwara
%A Yoshiki Kudo
%A Kohei Kotera
%A Hideaki Masuzaki
%A Hironori Tashiro
%A Hidetaka Katabuchi
%A Ituro Inoue
%A Kenichi Tanaka
%J PLOS ONE
%D 2012
%I Public Library of Science (PLoS)
%R 10.1371/journal.pone.0009615
%X 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.
%U http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0009615