ReviewMolecular biomedicine2026
Lactate metabolism and protein lactylation in cancer.
Review in Molecular biomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Metabolic reprogramming in fibrosis-related diseases: underlying mechanisms and therapeutics.Molecular biomedicine · 2026Review
- Glycolytic lactylation modulates cell death decisions in diabetic kidney disease: Metabolic‑epigenetic interplay between ferroptosis and autophagy in fibrotic remodeling (Review).International journal of molecular medicine · 2026Review
- Metabolic reprogramming of Th17/Treg imbalance in autoimmune thyroid diseases.Cell communication and signaling : CCS · 2026Review
- Lactylation: a novel epigenetic bridge connecting metabolic reprogramming and immune dysregulation in sepsis-associated ARDS.Frontiers in immunology · 2026Review
- Metabolic immune checkpoints in cancer: how tumor-derived metabolites shape immunotherapy resistance.Frontiers in immunology · 2026Review
- Metabolic-epigenetic crosstalk in latent autoimmune diabetes in adults: potential roles of lactate-induced histone lactylation in immune regulation and pancreatic β-cell fate.Frontiers in endocrinology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
Lactylation is a recently identified post-translational modification that links cellular metabolism to gene regulation, playing pivotal roles in cancer development and the tumor microenvironment (TME). Derived from lactate produced by glycolysis and glutamine metabolism, lactylation occurs on both histone and non-histone proteins, modulating transcription, protein function, and cellular signaling. In tumors, lactylation contributes to proliferation, metastasis, therapy resistance, and immune evasion by influencing the function of Treg cells, macrophages, dendritic cells, and NK cells. Its dynamic regulation by "writers" (e.g., p300), "erasers" (e.g., Histone deacetylases (HDACs), Sirtuins3 (SIRT3)), and transporters (e.g., monocarboxylate transporters (MCT) 1/4) provides multiple intervention points for therapy. Preclinical studies demonstrate that targeting lactylation directly or indirectly-through LDH (lactate dehydrogenase) inhibition, MCT blockade, or modulation of lactyltransferases-enhances the efficacy of immune checkpoint inhibitors, Chimeric Antigen Receptor T (CAR-T) therapy, and chemotherapeutic agents.Despite these advances, critical questions remain regarding the specificity of lactylation compared with other post-translational modifications, the tumor types most dependent on lactylation, and reliable biomarkers to guide treatment. Additionally, clinical validation of lactylation-targeting strategies is limited. Future research integrating mechanistic studies, patient-derived samples, and multi-omics approaches is essential to elucidate context-dependent functions, refine therapeutic targets, and develop precision interventions.This review provides a comprehensive summary of lactylation biology in cancer, highlighting its metabolic-epigenetic interplay, immunomodulatory roles, and therapeutic potential. By synthesizing current evidence, we aim to guide future studies and clinical strategies targeting lactylation to improve cancer treatment outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.