Identification of prognostic subtypes and the role of FXYD6 in ovarian cancer through multi-omics clustering.

Journal: Frontiers in immunology
PMID: 40170843

Abstract

BACKGROUND: Ovarian cancer (OC), as a malignant tumor that seriously endangers the lives and health of women, is renowned for its complex tumor heterogeneity. Multi-omics analysis, as an effective method for distinguishing tumor heterogeneity, can more accurately differentiate the prognostic subtypes with differences among patients with OC. The aim of this study is to explore the prognostic subtypes of OC and analyze the molecular characteristics among the different subtypes.

Authors

  • Boyi Ma
    Department of Obstetrics and Gynecology, Xijing Hospital, The Fourth Military Medical University, Shaanxi, China.
  • Chenlu Ren
    Department of Obstetrics and Gynecology, Xijing Hospital, The Fourth Military Medical University, Shaanxi, China.
  • Yun Gong
    Department of Obstetrics and Gynecology, Xijing Hospital, The Fourth Military Medical University, Shaanxi, China.
  • Jia Xi
    Department of Obstetrics and Gynecology, Xijing Hospital, The Fourth Military Medical University, Shaanxi, China.
  • Yuan Shi
    School of Architecture, Chinese University of Hong Kong, New Territories, Hong Kong.
  • Shuhua Zhao
    Department of Obstetrics and Gynecology, Xijing Hospital, The Fourth Military Medical University, Shaanxi, China.
  • Yadong Yin
    Department of Obstetrics and Gynecology, Xijing Hospital, The Fourth Military Medical University, Shaanxi, China.
  • Hong Yang
    Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China.

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