ArticleJournal of translational medicine2025
Unveiling ac4C modification pattern: a prospective target for improving the response to immunotherapeutic strategies in melanoma.
Article in Journal of translational medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- NSUN2‑mediated epitranscriptomic and ubiquitin modulation of Nipah virus matrix protein reveals a dual-targeting antiviral strategy.Protein & cell · 2026Article
- RNA epitranscriptomic regulation of tumor immune evasion: mechanisms, context-dependent roles, and therapeutic implications.Frontiers in immunology · 2026Review
- Identification of N4-Acetylcytidine-Related Biomarkers in Adult Asthma: An Integrative Multi-Omics Study.Journal of inflammation research · 2026Article
- FLOT1 and EEF1D: ac4C-related genes bridging Alzheimer's disease and sleep deprivation.Frontiers in aging neuroscience · 2026Article
- Article
- A prognostic signature derived from ac4C-associated genes stratifies survival and tumor immune microenvironment in cutaneous melanoma.Frontiers in immunology · 2025Article
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Authors and funding
6 authors.
Funding
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Abstract
Emerging evidence has confirmed the inextricable connection between N4-acetylcytidine (ac4C) mRNA modification and the clinical characteristics of malignancies. Nonetheless, it is uncertain whether and how ac4C mRNA modification patterns affect clinical outcomes in melanoma patients. This research integrated single-cell sequencing data and transcriptomics to pinpoint ac4C-related genes (acRG) linked to melanoma progression and evaluate their clinical implications. Cells with elevated acRG score were predominantly located within the melanocytes cluster. Intercellular communications between melanocytes and other cell subtypes were markedly strengthened in the acRG-high group. We developed and confirmed an excellent acRG-related signature (acRGS) utilizing a comprehensive set of 101 algorithm combinations derived from 10 machine learning algorithms. Hereby, the acRGS, including MYO10, ZNF667, MRAS, SCO2, MAPK10, PNMA6A, KPNA2, NT5DC2, BAIAP2L2 and NDST3, delineated ac4C-associated mRNA modification patterns in melanoma. The acRGS possesses distinctly superior performance to 120 previously reported signatures in melanoma and could predict the overall survival of melanoma patients across four external datasets. The substantial associations among immune checkpoint genes, immune cell infiltration, and tumor mutation burden with acRGS indicate that acRGS is helpful in identifying melanoma patients who are sensitive to immunotherapy. Besides, we confirmed that MYO10 was mainly overexpressed in melanoma tissues, and elevated MYO10 was positively correlated with malignant phenotypes and unfavorable prognosis in melanoma patients. Silencing MYO10 expression inhibited melanoma cell proliferation, migration and invasion in vitro as well as tumor growth in vivo. Taken together, the acRGS could function as a reliable and prospective tool to improve the clinical prognosis for melanoma individuals.
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