Multiomics evaluation and machine learning optimize molecular classification, prediction of prognosis and immunotherapy response for ovarian cancer.

Journal: Pathology, research and practice
PMID: 40168774

Abstract

BACKGROUND: Ovarian cancer (OC), owing to its substantial heterogeneity and high invasiveness, has historically been devoid of precise, individualized treatment options. This study aimed to establish integrated consensus subtypes of OC using different multiomics integration methodologies.

Authors

  • Fang Ren
    School of Mathematics and Statistics, Shaanxi Normal University, Xi'an, China.
  • Xiaoao Pang
    Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, China.
  • Ning Liu
    School of Public Health, Hangzhou Normal University, Hangzhou, China.
  • Liancheng Zhu
    Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, Liaoning 110004, China. Electronic address: medecin@126.com.

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