Establishment of multiple machine learning prognostic model for gene differences between primary tumors and lymph nodes in luminal breast cancer.

Journal: Breast cancer research and treatment
PMID: 39656430

Abstract

BACKGROUND: This study aimed to explore the correlation between primary tumors (PT) and paired metastatic lymph nodes (LN) and to develop a predictive model to provide evidence for forecasting patient prognoses.

Authors

  • Meng Yue
    Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
  • Jianing Zhao
    Department of Pathology, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China.
  • Si Wu
    State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China.
  • Lijing Cai
    Heilongjiang Bayi Agricultural University, College of Information and Electrical Engineering, Daqing, Heilongjiang 163319, China.
  • Xinran Wang
    Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.
  • Ying Jia
    Department of Pathology, The Fourth Hospital of Hebei Medical University, No. 12 Jiankang Road, Shijiazhuang, 050011, Hebei, China.
  • Xiaoxiao Wang
    Centers for Biomedical Engineering, University of Science and Technology of China, Hefei, China.
  • Yongjun Wang
    Department of Neurology, Beijing Tiantan Hospital, Beijing, China.
  • Yueping Liu
    Department of Pathology, The Fourth Hospital of Hebei Medical University, Shijiazhuang, China.

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