Lactylation-driven molecular taxonomy of melanoma: linking epigenetic modifications to immune evasion and clinical outcomes

Lactylation, a post-translational modification derived from elevated lactate levels, has gained attention as a potential regulator of melanoma's tumor metabolism and immune responses. Here, we combined single-cell RNA sequencing and bulk transcriptome profiling of cutaneous melanoma samples to establish a lactation-centric prognostic model. Our analyses revealed melanocytes as the most acetylation-enriched cell population and identified a six-gene lactylation signature that stratified patients into high- and low-risk groups with distinct survival outcomes. Mechanistically, high-risk tumors demonstrated significant immunosuppressive features characterized by M2 macrophage accumulation and depleted CD8+ T-cell activity, corresponding to reduced sensitivity to certain chemotherapeutic drugs. Pathway enrichment studies implicated DNA repair, Hedgehog, and JAK-STAT signaling in driving the aggressive phenotype of high-acetylation tumors. Additionally, pseudotime trajectory analyses highlighted developmental shifts in gene expression related to lactylation during melanocyte differentiation. The signature demonstrated robust predictive accuracy in training, testing, and external validation cohorts. Functional validation confirmed the critical role of RAN in promoting proliferation and migration in vitro. These findings unveil lactylation as a critical epigenetic factor influencing melanoma progression and immune evasion, offering a novel prognostic framework and potential therapeutic targets for precision medicine.

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Publication Details

Journal
American Journal of Cancer Research
Published
2025-01-01
DOI
https://doi.org/10.62347/wjna8774
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Lactylation-driven molecular taxonomy of melanoma: linking epigenetic modifications to immune evasion and clinical outcomes

Lei Wang
American Journal of Cancer Research
Single-cell and spatial transcriptomics
article

Lactylation-driven molecular taxonomy of melanoma: linking epigenetic modifications to immune evasion and clinical outcomes

Lei Wang
article en

Abstract

Lactylation, a post-translational modification derived from elevated lactate levels, has gained attention as a potential regulator of melanoma's tumor metabolism and immune responses. Here, we combined single-cell RNA sequencing and bulk transcriptome profiling of cutaneous melanoma samples to establish a lactation-centric prognostic model. Our analyses revealed melanocytes as the most acetylation-enriched cell population and identified a six-gene lactylation signature that stratified patients into high- and low-risk groups with distinct survival outcomes. Mechanistically, high-risk tumors demonstrated significant immunosuppressive features characterized by M2 macrophage accumulation and depleted CD8+ T-cell activity, corresponding to reduced sensitivity to certain chemotherapeutic drugs. Pathway enrichment studies implicated DNA repair, Hedgehog, and JAK-STAT signaling in driving the aggressive phenotype of high-acetylation tumors. Additionally, pseudotime trajectory analyses highlighted developmental shifts in gene expression related to lactylation during melanocyte differentiation. The signature demonstrated robust predictive accuracy in training, testing, and external validation cohorts. Functional validation confirmed the critical role of RAN in promoting proliferation and migration in vitro. These findings unveil lactylation as a critical epigenetic factor influencing melanoma progression and immune evasion, offering a novel prognostic framework and potential therapeutic targets for precision medicine.

American Journal of Cancer ResearchVol. 15(7)
Sir Run Run Shaw Hospital (CN), Zhejiang Cancer Hospital (CN), Shaoxing People's Hospital (CN)
Zero hunger
Openalex Percentile: Top 83%
Single-cell and spatial transcriptomics
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Lactylation-driven molecular taxonomy of melanoma: linking epigenetic modifications to immune evasion and clinical outcomes — Lei Wang · American Journal of Cancer Research (2025) | TGRS Research Map | TGRS