Evidence map›Paper›PMID 42070138›Full record

ArticleFuture science OA2026

Integrative analysis of adiponectin-related genes reveals immune subtypes and prognostic significance in melanoma.

Yong Yin, Chun Ren

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Article in Future science OA, 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

2 authors.

Yong YinDepartment of Dermatology, Wujin Hospital Affiliated with Jiangsu University, Changzhou, Jiangsu, China.
Chun RenDepartment of Dermatology, Wujin Hospital Affiliated with Jiangsu University, Changzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aimed to explore the prognostic and immune-related associations of adiponectin-related genes in melanoma.

methodsSingle nucleotide polymorphism (SNP) and transcriptomic data from the Integrative Epidemiology Unit Open Genome-Wide Association Study database (IEU openGWAS) and The Cancer Genome Atlas Skin Cutaneous Melanoma cohort (TCGA-SKCM) were integrated to identify adiponectin-related genes. Consensus clustering defined molecular subtypes. Differentially expressed genes (DEGs) were analyzed using functional enrichment, protein-protein interaction (PPI), and immune infiltration (CIBERSORT). In vitro assays assessed transcriptional changes following endogenous albumin (ALB) modulation in melanoma cells.

resultsFive adiponectin-associated SNPs were linked to melanoma prognosis. Four molecular subtypes with distinct survival outcomes were identified, with ALB-high Cluster 3 showing the poorest prognosis. A total of 702 DEGs were enriched in immune-related pathways, including IL-17 signaling and antigen presentation. ALB was identified as a PPI hub and positively correlated with memory B cells (

conclusionTumor-associated ALB expression is associated with adverse prognosis and immune-related transcriptional features in melanoma, suggesting its potential as a prognostic biomarker and marker of transcriptomic heterogeneity.

Indexed as

Adiponectinalbuminbioinformatics analysisimmune microenvironmentmelanomaprognosis

Identifiers

PMID42070138
PMCPMC13138078

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