title: A chemotherapy response classifier based on support vector machines for high-grade serous ovarian carcinoma.
abstract: Long-term outcome of high-grade serous epithelial ovarian carcinoma (HGSOC) remains poor as a result of recurrence and the emergence of drug resistance. Almost all the patients were given the same platinum-based chemotherapy after debulking surgery even though some of them are naturally resistant to the first-line chemotherapy. No method could verify this part of patients right after the surgery currently. In this study, we used 156 paraffin-embedded high-grade HGSOC specimens for immunohistochemical analysis with 37 immunology markers, and association between the expression levels of these markers and the chemoresponse were evaluated. A support vector machine (SVM)-based HGSOC prognostic classifier was then established, and was validated by a 95-patient independent cohort. The classifier was strongly predictive of chemotherapy resistance, and divided patients into low- and high-risk groups with significant differences progression-free survival (PFS) and overall survival (OS). This classifier may provide a potential way to predict the chemotherapy resistance of HGSOC right after the surgery, and then allow clinicians to make optimal clinical decision for those potentially chemoresistant patients. The potential clinical application of this classifier will benefit those patients with primary drug resistance.
authors.affiliation: Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: Chao-Yang
authors.initials: CY
authors.lastname: Sun
authors.affiliation: Department of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: Tie-Fen
authors.initials: TF
authors.lastname: Su
authors.affiliation: Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: Na
authors.initials: N
authors.lastname: Li
authors.affiliation: Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: Bo
authors.initials: B
authors.lastname: Zhou
authors.affiliation: Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: En-Song
authors.initials: ES
authors.lastname: Guo
authors.affiliation: Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: Zong-Yuan
authors.initials: ZY
authors.lastname: Yang
authors.affiliation: Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: Jing
authors.initials: J
authors.lastname: Liao
authors.affiliation: Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: Dong
authors.initials: D
authors.lastname: Ding
authors.affiliation: Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: Qin
authors.initials: Q
authors.lastname: Xu
authors.affiliation: Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: Hao
authors.initials: H
authors.lastname: Lu
authors.affiliation: Department of Haematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: Li
authors.initials: L
authors.lastname: Meng
authors.affiliation: Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: Shi-Xuan
authors.initials: SX
authors.lastname: Wang
authors.affiliation: Department of Haematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: Jian-Feng
authors.initials: JF
authors.lastname: Zhou
authors.affiliation: Department of Obstetrics and Gynecology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei 441021, China.
authors.forename: Hui
authors.initials: H
authors.lastname: Xing
authors.affiliation: Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: Dan-Hui
authors.initials: DH
authors.lastname: Weng
authors.affiliation: Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: Ding
authors.initials: D
authors.lastname: Ma
authors.affiliation: Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
authors.forename: Gang
authors.initials: G
authors.lastname: Chen
mesh_terms: D000970:Antineoplastic Agents / Q000627:therapeutic use*; D000077216:Carcinoma, Ovarian Epithelial; D015331:Cohort Studies; D003661:Decision Support Techniques; D018572:Disease-Free Survival; D019008:Drug Resistance, Neoplasm / Q000502:physiology*; D005260:Female; D006801:Humans; D008875:Middle Aged; D009364:Neoplasm Recurrence, Local / Q000188:drug therapy; D009375:Neoplasms, Glandular and Epithelial / Q000188:drug therapy* / Q000401:mortality / Q000473:pathology; D010051:Ovarian Neoplasms / Q000188:drug therapy* / Q000401:mortality / Q000473:pathology; D066066:Response Evaluation Criteria in Solid Tumors; D060388:Support Vector Machine
chemical_list: D000970:Antineoplastic Agents
keywords: chemoresistance; ovarian cancer; support vector machine