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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.

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Title: 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.
Authors: Liang MZ; Department of Thyroid and Breast Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. Electronic address: liang_meizhen0228@163.com., Huang XF; Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. Electronic address: dr_xianfeng_huang@163.com., Zhu JC; Department of Colorectal and Anal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. Electronic address: zhujunchangwmu@163.com., Bao JX; Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. Electronic address: 103468344@qq.com., Chen CL; Department of Thyroid and Breast Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. Electronic address: 15258693361@163.com., Wang XW; Department of Burns and Skin Repair Surgery, The Third Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China. Electronic address: wangxiaowu_email@163.com., Lou YW; Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China. Electronic address: louyunwei777@163.com., Pan YT; Yongkang First People's Hospital Medical Group, Jinhua, Zhejiang, China. Electronic address: 842059038@qq.com., Dai YW; 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.
Source: Computational biology and chemistry [Comput Biol Chem] 2025 Dec; Vol. 119, pp. 108507. Date of Electronic Publication: 2025 May 15.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: England NLM ID: 101157394 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1476-928X (Electronic) Linking ISSN: 14769271 NLM ISO Abbreviation: Comput Biol Chem Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1476-928X
DOI:10.1016/j.compbiolchem.2025.108507