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Original Research ARTICLE Provisionally accepted The full-text will be published soon. Notify me

Front. Oncol. | doi: 10.3389/fonc.2019.01094

A qualitative transcriptional signature for predicting recurrence risk for high grade serous ovarian cancer patients treated with platinum-taxane adjuvant chemotherapy

 Yi x. Liu1, Zhe y. Zhang2, Tian h. Li2, Xin Li2, Sai n. Zhang2, Ying Li2,  Wen y. Zhao2,  Yun y. Gu2,  Zheng Guo2, 3, 4* and  Li S. Qi2*
  • 1Basic Medicine College, Harbin Medical University, China
  • 2School of Bioinformatics Science and Technology, Harbin Medical University, China
  • 3Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, China
  • 4Other, China

Resistance to platinum and taxane adjuvant chemotherapy (ACT) is the main cause of the recurrence and poor prognosis of high-grade serous ovarian cancer (HGS-OvCa) patients receiving platinum-taxane ACT after surgery. However, currently reported quantitative transcriptional signatures, which are commonly based on risk scores summarized from gene expression, are unsuitable for clinical application because of their high sensitivity to experimental batch effects and quality uncertainties of clinical samples. Using 226 samples of HGS-OvCa patients receiving platinum-taxane ACT in TCGA, we developed a qualitative transcriptional signature, consisting of 4 gene pairs whose within-samples relative expression orderings could robustly predict patient recurrence-free survival (RFS). In 2 independent test datasets, the predicted non-responders had significantly shorter RFS than the predicted responders (log-rank p < 0.05). In a test dataset containing data for patient pathological response state, the signature reclassified 12 out of 22 pathological complete response patients as non-responders and 2 out of 16 pathological non-complete response patients as responders. Notably, the 12 predicted non-responders in the pathological complete response group had significantly shorter RFS than the predicted responders (log-rank p = 0.0122). This qualitative transcriptional signature, which is insensitive to experimental batch effects and quality uncertainties of clinical samples, can individually identify HGS-OvCa patients who are more likely to benefit from platinum-taxane adjuvant chemotherapy.

Keywords: ovarian cancer, Platinum chemotherapy, taxane chemotherapy, Predictive signature, relative expression orderings

Received: 19 Apr 2019; Accepted: 04 Oct 2019.

Copyright: © 2019 Liu, Zhang, Li, Li, Zhang, Li, Zhao, Gu, Guo and Qi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Mx. Zheng Guo, School of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China, guoz@ems.hrbmu.edu.cn
Prof. Li S. Qi, School of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province, China, qilishuang7@ems.hrbmu.edu.cn