Research advances of lactylation modification in breast cancer

Breast cancer (BC), a leading cause of cancer mortality in women, involves complex molecular mechanisms including post-translational modifications (PTMs). While common PTMs are well-studied, lactylation-a novel PTM linking metabolism to epigenetics-has emerged as a critical regulator in BC pathogenesis. The high concentration of lactate caused by the Warburg effect makes lactylation in tumor tissue possible. Machine learning enhances the discovery and analysis of lactylation sites by processing large datasets, revealing patterns that influence tumor behavior and patient outcomes. This review offers a comprehensive analysis of the role of lactylation in breast cancer development and progression. It focuses on the impact on the proliferation, migration, and invasion of breast cancer cells and their association with chemotherapeutic resistance. This review provides valuable insights for the development of targeted therapeutic strategies that may enhance early diagnosis, treatment, and prognostic evaluation of breast cancer. The findings presented here open new avenues for future research and clinical practice.

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Publication Details

Journal
Discover Oncology
Published
2025-10-03
DOI
https://doi.org/10.1007/s12672-025-03663-0
Primary Topic
Epigenetics and DNA Methylation
Type
article
Field-Weighted Citation Impact
0.00
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article

Research advances of lactylation modification in breast cancer

Pu Shen, Meng Yang
Discover Oncology
Epigenetics and DNA Methylation
article

Research advances of lactylation modification in breast cancer

Pu Shen, Meng Yang
article en

Abstract

Breast cancer (BC), a leading cause of cancer mortality in women, involves complex molecular mechanisms including post-translational modifications (PTMs). While common PTMs are well-studied, lactylation-a novel PTM linking metabolism to epigenetics-has emerged as a critical regulator in BC pathogenesis. The high concentration of lactate caused by the Warburg effect makes lactylation in tumor tissue possible. Machine learning enhances the discovery and analysis of lactylation sites by processing large datasets, revealing patterns that influence tumor behavior and patient outcomes. This review offers a comprehensive analysis of the role of lactylation in breast cancer development and progression. It focuses on the impact on the proliferation, migration, and invasion of breast cancer cells and their association with chemotherapeutic resistance. This review provides valuable insights for the development of targeted therapeutic strategies that may enhance early diagnosis, treatment, and prognostic evaluation of breast cancer. The findings presented here open new avenues for future research and clinical practice.

Discover OncologyVol. 16(1)
Chinese Academy of Medical Sciences & Peking Union Medical College (CN), China-Japan Friendship Hospital (CN), Peking Union Medical College Hospital (CN)
Openalex Percentile: Top 76%
Epigenetics and DNA Methylation
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Research advances of lactylation modification in breast cancer — Pu Shen, Meng Yang · Discover Oncology (2025) | TGRS Research Map | TGRS