Identification of a novel chemotherapy benefit index for patients with advanced ovarian cancer based on Bayesian network analysis.

Journal: PloS one
Published Date:

Abstract

BACKGROUND: This study aims to evaluate the efficacy of chemotherapy and optimize treatment strategies for patients with advanced ovarian cancer.

Authors

  • Shuxiao Ma
    Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, 450000, China.
  • Lu Zhou
    School of Environment, Tsinghua University Beijing 100084 P. R. China zhoulu@mail.tsinghua.edu.cn.
  • Yi Liu
    Department of Interventional Therapy, Ningbo No. 2 Hospital, Ningbo, China.
  • Hui Jie
    Department of Thoracic Surgery and Institute of Thoracic Oncology, West China Hospital, Sichuan University, Chengdu, China.
  • Min Yi
    Department of Endocrinology, Zhujiang Hospital, Southern Medical University, Guangzhou 510280, China.
  • Chenglin Guo
    Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
  • Jiandong Mei
    Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, China.
  • Chuan Li
    State Key Laboratory for Molecular Virology and Genetic Engineering, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
  • Lei Zhu
    School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan, China.
  • Senyi Deng
    Institute of Thoracic Oncology, Department of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, 610065, China. senyi_deng@scu.edu.cn.