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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http://dx.doi.org/10.1186/s12967-025-06297-6 | DOI Listing |
Curr Oncol Rep
March 2025
Department of Nuclear Medicine, Netherlands Cancer Institute, Plesmanlaan 121, Amsterdam, 1066 CX, The Netherlands.
Purpose: The aim of this review is to provide an overview of novel clinical PET tracers in the pipeline for melanoma. Secondarily, to provide a head-to-head comparison with the current clinical standard used in clinical practice, [F]FDG, if available.
Recent Findings: [F]FDG PET/CT has become important in the clinical setting for melanoma as it serves many purposes, but lacks other important qualities due its nonspecific nature.
Doc Ophthalmol
March 2025
Department of Ophthalmology, Mie University School of Medicine, 2-174 Edobashi, Tsu, Mie, 514-8507, Japan.
Purpose: To report our flicker electroretinographic (ERG) findings in a patient who developed uveitis after treatment with immune checkpoint inhibitors (ICIs) for a metastatic malignant melanoma.
Methods: ERGs were used to monitor retinal physiology in a patient with ocular complications following systemic ICI administration. Flicker ERGs were recorded using the RETeval system before and after the ICI treatments.
Arch Dermatol Res
March 2025
Division of Dermatology, University of California, Los Angeles, 855 Tiverton Drive, Los Angeles, CA, 90024, USA.
Dermatol Reports
February 2025
Unit of Melanoma, Cancer Immunotherapy and Innovative Therapies Unit, Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale", Naples.
Basal cell carcinoma (BCC) is the most common malignant tumor in white populations. Multiple studies demonstrated that the aberrant activation of Hedgehog signaling is a driver of BCC development, and its blockade represents a potential therapeutic target. In Italy, clinicians can prescribe Hedgehog inhibitors (HhIs) vismodegib and sonidegib.
View Article and Find Full Text PDFJAMA Dermatol
March 2025
Department of Surgery, Arthur J.E. Child Comprehensive Cancer Centre, University of Calgary, Calgary, Alberta, Canada.
Importance: There is a need to identify the best performing risk prediction model for sentinel lymph node biopsy (SLNB) positivity in melanoma.
Objective: To comprehensively review the characteristics and discriminative performance of existing risk prediction models for SLNB positivity in melanoma.
Data Sources: Embase and MEDLINE were searched from inception to May 1, 2024, for English language articles.
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