Predicting time to ovarian carcinoma recurrence using protein markers.
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ABSTRACT:
SUBMITTER: Yang JY
PROVIDER: S-EPMC3754259 | biostudies-literature | 2013 Sep
REPOSITORIES: biostudies-literature
Publications
Predicting time to ovarian carcinoma recurrence using protein markers.
Yang Ji-Yeon JY Yoshihara Kosuke K Tanaka Kenichi K Hatae Masayuki M Masuzaki Hideaki H Itamochi Hiroaki H Takano Masashi M Ushijima Kimio K Tanyi Janos L JL Coukos George G Lu Yiling Y Mills Gordon B GB Verhaak Roel G W RG
The Journal of clinical investigation 20130815 9
Patients with ovarian cancer are at high risk of tumor recurrence. Prediction of therapy outcome may provide therapeutic avenues to improve patient outcomes. Using reverse-phase protein arrays, we generated ovarian carcinoma protein expression profiles on 412 cases from TCGA and constructed a PRotein-driven index of OVARian cancer (PROVAR). PROVAR significantly discriminated an independent cohort of 226 high-grade serous ovarian carcinomas into groups of high risk and low risk of tumor recurrenc ...[more]
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