Development and Validation of an Individualized Immune Prognostic Signature in 3005 Ovarian Cancer Patients
62 Pages Posted: 28 Aug 2018More...
Ovarian cancer (OV) is the most lethal gynecological cancer in women. We aim to develop a robust, individualized immune prognostic signature that can stratify and predict overall survival for ovarian cancer. The gene expression profiles of ovarian cancer tumor tissue samples were collected from 20 public cohorts, including 3005 cases totally. We used the immune genes provided by ImmPort database to develop an immune-based prognostic signature for OV (IPSOV) in the training set (n = 409). The signature was validated in seven independent validation sets (n = 606, 519, 634, 415, 194, 128, 100). Further, we compared IPSOV with nine reported ovarian cancer prognostic signatures as well as the clinical characteristics including stage, grade and debulking status. The IPSOV significantly stratified patients into low- and high-immune risk groups in the training set (HR = 2.52; 95% CI: 1.92-3.30; P = 1.88×10-11) and in the 7 validation sets (HR range: 1.70 [95%CI: 1.32-2.10; P = 1.40×10-5] to 2.20 [95%CI: 1.24-3.91; P = 0.007]). Significant interaction effects were identified for IPSOV and platinum, Gemcitabine and Topotecan chemotherapy. The IPSOV achieved the highest mean C-index (0.631) compared with the other signatures (0.516 to 0.602) and clinical characteristics (0.550 to 0.576). Further, we integrated IPSOV with stage, grade and debulking, which showed improved prognostic accuracy than clinical characteristics only. The proposed clinical-immune signature is a promising biomarker for estimating overall survival in ovarian cancer. Prospective studies are needed to further validate its analytical accuracy and test the clinical utility.
Funding: This study was supported by the National Natural Science Foundation of China (81530088 and 81473070 to F.C.), National Key Research and Development Program of China (2016YFE0204900 to F.C.), Natural Science Foundation of the Jiangsu Higher Education Institutions of China (14KJA310002 to F.C.).
Conflict of Interest: None.
Ethical Approval Statement: This study has been proved by the Nanjing Medical University institutional committee.
Keywords: ovarian cancer; immune; gene expression; prognostic signature
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