Oncotarget

Research Papers:

A chemotherapy response classifier based on support vector machines for high-grade serous ovarian carcinoma

Chao-Yang Sun, Tie-Fen Su, Na Li, Bo Zhou, En-Song Guo, Zong-Yuan Yang, Jing Liao, Dong Ding, Qin Xu, Hao Lu, Li Meng, Shi-Xuan Wang, Jian-Feng Zhou, Hui Xing, Dan-Hui Weng, Ding Ma _ and Gang Chen

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Oncotarget. 2016; 7:3245-3254. https://doi.org/10.18632/oncotarget.6569

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Abstract

Chao-Yang Sun1,*, Tie-Fen Su2,*, Na Li1,*, Bo Zhou1, En-Song Guo1, Zong-Yuan Yang1, Jing Liao1, Dong Ding1, Qin Xu1, Hao Lu1, Li Meng3, Shi-Xuan Wang1, Jian-Feng Zhou3, Hui Xing4, Dan-Hui Weng1, Ding Ma1, Gang Chen1

1Department of Obstetrics and Gynaecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China

2Department of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China

3Department of Haematology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China

4Department of Obstetrics and Gynecology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, Hubei 441021, China

*These authors contributed equally to this work

Correspondence to:

Ding Ma, e-mail: dma@tjh.tjmu.edu.cn

Gang Chen, e-mail: gumpc@126.com

Keywords: ovarian cancer, chemoresistance, support vector machine

Received: August 25, 2015     Accepted: November 21, 2015     Published: December 12, 2015

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.


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