A machine learning-based glycolysis and fatty acid metabolism-related prognostic signature is constructed and identified ACSL5 as a novel marker inhibiting the proliferation of breast cancer.

Journal: Computational biology and chemistry
Published Date: May 15, 2025

Abstract

INTRODUCTION: A new perspective on cancer metabolism suggests that it varies by context and is diverse. Cancer metabolism reprogramming can create a heterogeneous microenvironment that affects immune cell infiltration and function, complicating the selection of treatment methods. However, the specifics of this relationship remain unclear in breast cancer. This research aims to explore how glycolysis and fatty acid metabolism (GF) influence the immune microenvironment and their predictive capabilities for immunotherapy responses and overall survival.

Authors

  • Mei-Zhen Liang
    Department of Thyroid and Breast Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. Electronic address: liang_meizhen0228@163.com.
  • Xian-Feng Huang
    Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. Electronic address: dr_xianfeng_huang@163.com.
  • Jun-Chang Zhu
    Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. Electronic address: zhujunchangwmu@163.com.
  • Jing-Xia Bao
    Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. Electronic address: 103468344@qq.com.
  • Cheng-Liang Chen
    Department of Thyroid and Breast Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. Electronic address: 15258693361@163.com.
  • Xiao-Wu Wang
    Department of Burns and Skin Repair Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China. Electronic address: wangxiaowu_email@163.com.
  • Yun-Wei Lou
    Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. Electronic address: louyunwei777@163.com.
  • Ya-Ting Pan
    Yongkang First People's Hospital Medical Group, Jinhua, Zhejiang, China. Electronic address: 842059038@qq.com.
  • Yin-Wei Dai
    Department of Thyroid and Breast Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China; Department of Obstetrics and Gynecology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China. Electronic address: 601716404@qq.com.

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