Evidence map›Paper›PMID 40197182›Full record

ArticleCurrent molecular medicine2026

Analysis of Alternative Splicing Events in Melanoma and the Implications for Prognosis.

Hongwei Deng, Xiang Huang, Ji Zhang, Xinyu Xu, Jianglin Wang, Li Liu, Yajun Yu, Jianguo Feng, Yijing He

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Article in Current molecular medicine, 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 · Who and what money

Authors and funding

9 authors.

Hongwei DengDepartment of Anesthesiology, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan Province, 646000, China.
Xiang HuangDepartment of Anesthesiology, The Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou Province, 550004, China.
Ji ZhangDepartment of Anesthesiology, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan Province, 646000, China.
Xinyu XuDepartment of Anesthesiology, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan Province, 646000, China.
Jianglin WangDepartment of Pain Management, The Affiliated Hospital, Southwest Medical University, Luzhou, 646000, Sichuan, China.
Li LiuDepartment of Anesthesiology, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan Province, 646000, China.
Yajun YuNucleic Acid Medicine of Luzhou Key Laboratory, Southwest Medical University, Luzhou, Sichuan Province, 646000, China.
Jianguo FengDepartment of Anesthesiology, the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan Province, 646000, China.
Yijing HeLaboratory of Neurological Diseases and Brain Function, The Affiliated Hospital of Southwest Medical University, Luzhou, P.R. China.

Funding

joint foundation of the Luzhou Government and Southwest Medical University 2021LZXNYD-D08National Undergraduate Training Programs for Innovation and Entrepreneurship 202210632030, S202210632243Science and Technology Cooperation Project of Hejiang County People's Hospital and Southwest Medical University 2021HJXNYD04Scientific Research Foundation of Southwest Medical University 2021ZKZD011Sichuan Science and Technology Program 2022YFS0632, 2023NSFSC1894
6 · The paper itself

Abstract

introductionAlternative splicing (AS) events significantly affect melanoma progression. Therefore, understanding their effect on prognosis is important for developing new treatments.

methodsUnivariate Cox regression analysis and LASSO regression were carried out to identify key AS events, build an AS risk model, and classify sample risk levels. Pearson correlation analysis was also performed to analyze the relationship between AS events and RNA-binding protein (RBP) genes or indicators of immune infiltration. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were performed using gene expression data from patients with varying risk levels. Univariate and multivariable Cox regression analyses were also carried out to examine the association between immune cell infiltration and prognosis.

resultsA total of 41446 AS events were identified; among them, 446 AS events were identified as significantly associated with melanoma prognosis. An AS risk model for prognosis was established using seven key AS events. A close correlation was found between 137 AS events and 1013 RBP genes, suggesting that these genes may participate in the regulation of AS events. KEGG enrichment analysis revealed that the genes involved in AS were closely associated with immune system functions, which may explain why AS events affect the prognosis of melanoma. Finally, by combining the AS risk score and clinical indicators, we developed a nomogram model that could effectively predict melanoma prognosis.

conclusionThis analysis of AS events and regulation may aid in developing novel prognostic biomarkers and therapeutic targets for melanoma.

Indexed as

Alternative SplicingBiomarkers, TumorGene Expression Regulation, NeoplasticMelanomaHumansNomogramsPrognosisRNA-Binding ProteinsBiomarkers, TumorRNA-Binding ProteinsAlternative splicingimmune infiltrationmelanomaprognostic modelregulatory networkRNA-binding protein

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.