Insights into a Machine Learning-Based Palmitoylation-Related Gene Model for Predicting the Prognosis and Treatment Response of Breast Cancer Patients.

Journal: Technology in cancer research & treatment
Published Date: Jan 1, 2024

Abstract

BACKGROUND: Breast cancer is a prevalent public health concern affecting numerous women globally and is associated with palmitoylation, a post-translational protein modification. Despite increasing focus on palmitoylation, its specific implications for breast cancer prognosis remain unclear. The work aimed to identify prognostic factors linked to palmitoylation in breast cancer and assess its effectiveness in predicting responses to chemotherapy and immunotherapy.

Authors

  • Hongxia Zhu
    School of Pharmacy, Hengyang Medical College, University of South China, Hengyang, China.
  • Haihong Hu
    Mid-Atlantic Permanente Medical Group PC, Kaiser Permanente Mid-Atlantic States, Rockville, MD.
  • Bo Hao
  • Wendi Zhan
    School of Pharmacy, Hengyang Medical College, University of South China, Hengyang, China.
  • Ting Yan
    Center for Biomedical Imaging, University of Science and Technology of China, Hefei, Anhui, China.
  • Jingdi Zhang
    School of Pharmacy, Hengyang Medical College, University of South China, Hengyang, China.
  • Siyu Wang
    School of Nursing, Chengdu University of Traditional Chinese Medicine, Sichuan, Chengdu, 610075, China. Electronic address: 919008390@qq.com.
  • Hongjuan Hu
    Department of Public Health Service, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.
  • Taolan Zhang
    Department of Pharmacy, The First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, China.

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