Leveraging machine learning models to evaluate immune infiltration in the ovarian cancer microenvironment: a single-cell analysis approach.

Journal: Discover oncology
Published Date: Jul 9, 2025

Abstract

BACKGROUND: The prognosis of ovarian cancer is closely related to the degree of immune cell infiltration within the tumor microenvironment. However, current methods for assessing immune infiltration have certain subjective limitations. This study aimed to establish an objective assessment model based on machine learning and single-cell RNA sequencing data to provide a basis for the individualized immunotherapy of ovarian cancer.

Authors

  • Jie Liu
    School of Bioscience and Bioengineering, South China University of Technology, Guangzhou, China.
  • Baoguo Xia
    Department of Gynecology, Qingdao Hospital, University of Health and Rehabilitation Sciences, Qingdao, 266071, China.
  • Bingxin Li
    Department of Internal Medicine, Qingdao United Family Hospital, Qingdao, 266071, China.
  • Hui Liang
    School of Physical Education, Pingdingshan University, PingDingShan467000, China.

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