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A reactive oxygen species scoring system predicts cisplatin sensitivity and prognosis in ovarian cancer patients.


ABSTRACT: BACKGROUND:To reveal roles of reactive oxygen species (ROS) status in chemotherapy resistance and to develop a ROS scoring system for prognosis prediction in ovarian cancer. METHODS:We tested the sensitizing effects of ROS elevating drugs to cisplatin (cDDP) in ovarian cancer both in vitro and in vivo. A ROS scoring system was developed using The Cancer Genome Atlas (TCGA) database of ovarian cancer. The associations between ROS scores and overall survival (OS) were analyzed in TCGA, Tothill dataset, and our in-house dataset (TJ dataset). RESULTS:ROS-inducing drugs increased cisplatin-induced ovarian cancer cell injury in vitro and in vivo. ROS scoring system was established using 25 ROS-related genes. Patients were divided into low (scores 0-12) and high (scores 13-25) score groups. Improved patient survival was associated with higher scores (TCGA dataset hazard ratio (HR)?=?0.43, P?

SUBMITTER: Sun C 

PROVIDER: S-EPMC6839150 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

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A reactive oxygen species scoring system predicts cisplatin sensitivity and prognosis in ovarian cancer patients.

Sun Chaoyang C   Guo Ensong E   Zhou Bo B   Shan Wanying W   Huang Jia J   Weng Danhui D   Wu Peng P   Wang Changyu C   Wang Shixuan S   Zhang Wei W   Gao Qinglei Q   Xu Xiaoyan X   Wang Beibei B   Hu Junbo J   Ma Ding D   Chen Gang G  

BMC cancer 20191108 1


<h4>Background</h4>To reveal roles of reactive oxygen species (ROS) status in chemotherapy resistance and to develop a ROS scoring system for prognosis prediction in ovarian cancer.<h4>Methods</h4>We tested the sensitizing effects of ROS elevating drugs to cisplatin (cDDP) in ovarian cancer both in vitro and in vivo. A ROS scoring system was developed using The Cancer Genome Atlas (TCGA) database of ovarian cancer. The associations between ROS scores and overall survival (OS) were analyzed in TC  ...[more]

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2020-07-01 | GSE117052 | GEO