Lactylation in cancer: Advances and opportunities for treatment resistance
Keke Xu , Yiyi Shou , Ruiqi Liu , Hao Xiong , Xiaomeng Dai , Xuanwen Bao , Xiaoyan Chen , Luanluan Huang , Hailong Sheng , Haibo Zhang , Yanwei Lu
Clinical and Translational Medicine ›› 2025, Vol. 15 ›› Issue (10) : e70478
Lactylation in cancer: Advances and opportunities for treatment resistance
Background: Lactylation, a recently identified post-translational modification that utilizes lactic acidas a substrate, has emerged as an important regulator of gene expression andprotein function. Since its discovery in 2019, lactylation has beenincreasingly recognized for its roles in cancer biology and treatment response.
Main text: Lactylationis strongly associated with tumor progression and malignancy, underscoring itspotential as a therapeutic target. Recent studies also link lactylation tocancer treatment resistance, suggesting that modulating this modification couldenhance therapeutic efficacy. As treatment resistance remains a major clinicalchallenge in oncology, accumulating evidence indicates that dysregulatedlactylation contributes to resistance across chemotherapy, immunotherapy, targeted therapy, and radiotherapy. Preclinical and clinical research has begunto delineate the molecular pathways through which lactylation shapes theseresistance processes, and experimental approaches targeting lactylation arebeing explored to restore therapeutic sensitivity.
Conclusion: This review systematically summarizes the mechanisms of lactylation and its roles intreatment resistance, highlighting the interplay between lactylation andtherapeutic response. We discuss current and emerging strategies that targetlactylation, providing a foundation for future therapeutic development aimed atovercoming resistance and improving cancer treatment outcomes.
chemotherapy / immunotherapy / lactylation / targeted therapy / treatment resistance
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2025 The Author(s). Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.
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