A reactive oxygen species scoring system predicts cisplatin sensitivity and prognosis in ovarian cancer patients
Authors: Junbo Hu
Beibei Wang
Xiaoyan Xu
Wanying Shan
Changyu Wang
Ding Ma
Jia Huang
Bo Zhou
Qinglei Gao
Peng Wu
Wei Zhang
Gang Chen
Shixuan Wang
Danhui Weng
Chaoyang Sun
Ensong Guo
Journal: BMC cancer (2019)
Discipline: CLINICAL MEDICINE
Keywords: Prognosis; ROS; Scoring system; Serous ovarian Cancer.
Affiliations: Cancer Biology Research Center (Key laboratory of Chinese Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China., Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China., Department of Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China., Cancer Biology Research Center (Key laboratory of Chinese Ministry of Education), Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China. ., Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China. .

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 &lt; 0.001; Tothill dataset HR = 0.65, P = 0.022; TJ dataset HR = 0.40, P = 0.003). The score was also significantly associated with OS in multiple datasets (TCGA dataset r2 = 0.574, P = 0.032; Thothill dataset r2 = 0.266, P = 0.049; TJ dataset r2 = 0.632, P = 0.001) and with cisplatin sensitivity in ovarian cancer cell lines (r2 = 0.799, P = 0.016) when used as a continuous variable. The scoring system showed better prognostic performance than other clinical factors by receiver operating characteristic (ROC) curves (TCGA dataset area under the curve (AUC) = 0.71 v.s. 0.65, Tothill dataset AUC = 0.73 v.s. 0.67, TJ dataset AUC = 0.74 v.s. 0.66). Conclusions: ROS status is associated with chemotherapy resistance. ROS score system might be a prognostic biomarker in predicting the survival benefit from ovarian cancer patients. 

Retracted: No

PubPeer comments:
 In Figure 1F, microscopy data has been duplicated and presented as something else (CD34; PIPER vs cDDP + PIPER). ![file] , 
 Correction, [12 March 2020] :  Following publication of the original article [1], the authors reported an error in Fig. 1f. The representative image of CD34 in cDDP+PIPER tumors (Fig. 1f, at the top-right corner) was inadvertently used incorrectly during the assembly and formatting of the images. The corrected Fig. 1 is presented in this correction article. The authors apologise for the error. ![] ,