ArticleClinical, cosmetic and investigational dermatology2026
Post-Translational Modification-Driven Metabolic Reprogramming Shapes Melanoma Progression and Immune Microenvironment.
Article in Clinical, cosmetic and investigational dermatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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5 authors.
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Abstract
Background: Post-translational modifications (PTMs) critically regulate protein function, yet their intratumoral heterogeneity and clinical relevance in melanoma remain poorly characterized. Elucidating PTM-driven programs may uncover novel mechanisms of tumor progression and therapeutic vulnerability. Methods: We implemented an integrative multi-scale framework combining single-cell RNA sequencing (GSE215120), bulk transcriptomic cohorts (TCGA-SKCM and GSE19234), and spatial transcriptomics (VISDS000459). Twenty curated PTM functional programs were quantified using AUCell and ssGSEA. PTM-defined melanoma subpopulations were interrogated for transcription factor activity, cell-cell communication, copy number variation, and metabolic reprogramming. A PTM-based prognostic signature was constructed using LASSO-Cox regression, validated across independent cohorts, and interpreted using SHAP and LIME. Spatial transcriptomics was used to resolve the tissue localization of prognostic genes. Drug sensitivity was predicted with oncoPredict and evaluated by molecular docking. Results: PTM-based stratification identified melanoma subtypes with distinct proliferative, metabolic, and immune states. Melanoma-high cells exhibited elevated PTM-associated transcriptional enrichment, increased CNV burden, enhanced glycolysis/PPP/TCA metabolism, and dominant VEGF, MIF, GALECTIN, CXCL, and PDGF signaling, whereas Melanoma-low cells were enriched in antigen presentation and IFN-γ-related pathways. A 15-gene PTM risk score robustly stratified overall survival in TCGA-SKCM (p = 4.52×10 Conclusion: This PTM-centered integrative framework delineates metabolic and immune remodeling in melanoma, establishes an interpretable prognostic model, and identifies candidate therapeutic vulnerabilities for precision oncology.
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