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Peer-reviewedCC BY 4.0Cells

The Crosstalk Between Metabolic Reprogramming and Histone Methylation in Tumor Immunity and Immunotherapy

  1. 1Department of Pathology and Pathophysiology, School of Basic Medicine, Shandong Second Medical University, Weifang 261000, China
  2. 2Department of Medical Informatics, School of Basic Medicine, Shandong Second Medical University, Weifang 261000, China

Abstract

Histone methylation regulates chromatin structure and gene expression, whereas tumor metabolism provides bioenergetic and biosynthetic inputs. These processes are bidirectionally linked: S-adenosylmethionine supplies methyl groups for histone methyltransferases, α-ketoglutarate(α-KG) supports JmjC-domain demethylases, and D-2-hydroxyglutarate (D-2HG) can inhibit α-KG-dependent dioxygenases. Conversely, histone methylation can regulate metabolic gene expression, as illustrated by KMT2D-dependent enhancer remodeling and glycolytic gene expression in melanoma models. Lactate regulates chromatin through histone lactylation, a modification distinct from histone methylation; where the two intersect, as in the retinoblastoma H3K18la–SUZ12/PRC2–H3K27me3 circuit, the crosstalk is model-specific. This review examines these interactions in tumor cells and the immune microenvironment, emphasizing enzyme specificity, histone mark, cell type and experimental context. We highlight that changes in S-adenosylmethionine or α-KG do not produce uniform effects across enzymes, loci or cell states, and that tumor-associated macrophages are not captured by a fixed M1/M2 metabolic dichotomy. Mechanistic findings, preclinical results and early-phase clinical observations are considered separately; single-arm activity reported for valemetostat in adult T-cell leukemia/lymphoma is presented as activity in a defined cohort, not as an established survival benefit. Finally, we discuss how single-cell and spatial approaches can help resolve cell-type-specific and niche-specific interactions in heterogeneous tumors.

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BibTeX
@article{dou2026crosstalk,
  title = {{The Crosstalk Between Metabolic Reprogramming and Histone Methylation in Tumor Immunity and Immunotherapy}},
  author = {Jiayao Dou and Ruicheng Xue and Wei Gao and Fan Liang},
  journal = {Cells},
  year = {2026},
  month = sep,
  doi = {10.3390/cells15191786},
  url = {https://www.mdpi.com/2073-4409/15/19/1786},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - The Crosstalk Between Metabolic Reprogramming and Histone Methylation in Tumor Immunity and Immunotherapy
AU  - Jiayao Dou
AU  - Ruicheng Xue
AU  - Wei Gao
AU  - Fan Liang
PY  - 2026
DA  - 2026/09/30
JO  - Cells
DO  - 10.3390/cells15191786
UR  - https://www.mdpi.com/2073-4409/15/19/1786
AB  - Histone methylation regulates chromatin structure and gene expression, whereas tumor metabolism provides bioenergetic and biosynthetic inputs. These processes are bidirectionally linked: S-adenosylmethionine supplies methyl groups for histone methyltransferases, α-ketoglutarate(α-KG) supports JmjC-domain demethylases, and D-2-hydroxyglutarate (D-2HG) can inhibit α-KG-dependent dioxygenases. Conversely, histone methylation can regulate metabolic gene expression, as illustrated by KMT2D-dependent enhancer remodeling and glycolytic gene expression in melanoma models. Lactate regulates chromatin through histone lactylation, a modification distinct from histone methylation; where the two intersect, as in the retinoblastoma H3K18la–SUZ12/PRC2–H3K27me3 circuit, the crosstalk is model-specific. This review examines these interactions in tumor cells and the immune microenvironment, emphasizing enzyme specificity, histone mark, cell type and experimental context. We highlight that changes in S-adenosylmethionine or α-KG do not produce uniform effects across enzymes, loci or cell states, and that tumor-associated macrophages are not captured by a fixed M1/M2 metabolic dichotomy. Mechanistic findings, preclinical results and early-phase clinical observations are considered separately; single-arm activity reported for valemetostat in adult T-cell leukemia/lymphoma is presented as activity in a defined cohort, not as an established survival benefit. Finally, we discuss how single-cell and spatial approaches can help resolve cell-type-specific and niche-specific interactions in heterogeneous tumors.
SN  - 2073-4409
ER  -