Multi-omics analysis and experiments uncover the function of cancer stemness in ovarian cancer and establish a machine learning-based model for predicting immunotherapy responses.

Journal: Frontiers in immunology
PMID: 39726597

Abstract

BACKGROUND: The heterogeneity of cancer makes it challenging to predict its response to immunotherapy, highlighting the need to find reliable biomarkers for assessment. The sophisticated role of cancer stemness in mediating resistance to immune checkpoint inhibitors (ICIs) is still inadequately comprehended.

Authors

  • Zhibing Liu
    Department of Oncology, Binzhou Medical University Hospital, Binzhou, Shandong, China.
  • Lei Han
    Jiangsu Province Center for Disease Prevention and Control, Institute of Occupational Disease Prevention, Nanjing, Jiangsu, China.
  • Xiaoyu Ji
    Department of Oncology, Huashan Hospital Fudan University, Shanghai, China.
  • Xiaole Wang
    Department of Oncology, Binzhou Medical University Hospital, Binzhou, Shandong, China.
  • Jinbo Jian
    Department of Oncology, Binzhou Medical University Hospital, Binzhou, Shandong, China.
  • Yujie Zhai
    Department of Oncology, Binzhou Medical University Hospital, Binzhou, Shandong, China.
  • Yingjiang Xu
    Department of Interventional Vascular Surgery, Binzhou Medical University Hospital, Binzhou, Shandong, China.
  • Feng Wang
    Department of Oncology, Binzhou Medical University Hospital, Binzhou, Shandong, China.
  • Xiuwen Wang
    Department of Oncology, Qilu Hospital of Shandong University, Jinan, Shandong, China.
  • Fangling Ning
    Department of Oncology, Binzhou Medical University Hospital, Binzhou, Shandong, China.

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