A Multi-Omics-Based Prognostic Model for Elderly Breast Cancer by Machine Learning: Insights From Hypoxia and Immunity of Tumor Microenvironment.

Journal: Clinical breast cancer
Published Date: Apr 15, 2025

Abstract

INTRODUCTION: Older adult breast cancer (OABC) patients (≥ 65 years) frequently experience poorer prognoses compared to younger adults, attributed to complex tumor biology and age-related factors. The present study employs a multiomics approach combined with machine learning to develop a novel prognostic model for OABC, with a focus on the hypoxic and immune characteristics of the tumor microenvironment.

Authors

  • Yu Song
    Department of Systems Management, Fukuoka Institute of Technology, Fukuoka, Japan.
  • Changjun Wang
    Guangdong General Hospital, Guangzhou 510000, China. Electronic address: gzwchj@126.com.
  • Yidong Zhou
    Department of Breast Surgery, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, No. 3 Dongdan, Dongcheng District, Beijing, China. zhouyd@pumch.cn.
  • Qiang Sun
    Research Center for Agricultural and Sideline Products Processing, Henan Academy of Agricultural Sciences, 116 Park Road, Zhengzhou 450002, PR China.
  • Yan Lin

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