Integrative Analysis of Adiponectin-Related Genes in Melanoma with Immune Subtypes

A genomic dataset integrating SNP and transcriptomic data from the IEU openGWAS and TCGA-SKCM cohorts to explore adiponectin-related genes in melanoma. The study identifies five prognostic SNPs, four molecular subtypes, and 702 differentially expressed genes enriched in immune pathways. The dataset was authored by Yong Yin and last updated in May 2026.

Use Cases

• Identifying prognostic molecular subtypes in melanoma based on adiponectin-related gene expression.
• Analyzing immune-related pathway enrichment, such as IL-17 signaling, from differentially expressed genes.
• Investigating the role of the hub gene ALB in correlation with immune cell infiltration, like memory B cells.
• Validating in vitro transcriptional changes (e.g., IL-6, TNF-α) associated with ALB modulation in melanoma cells.

Strengths

• Integrates data from two authoritative genomic sources: IEU openGWAS and TCGA-SKCM.
• Identifies 702 differentially expressed genes and four distinct molecular subtypes with survival outcomes.
• Includes in vitro experimental validation of transcriptional changes for key immune-related genes.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Data reflects transcriptomic (mRNA) signals and does not directly measure immune cell behavior or protein production.

Provenance

Source

IEU openGWAS and The Cancer Genome Atlas Skin Cutaneous Melanoma (TCGA-SKCM) cohort.

Collection Method

Integration of SNP and transcriptomic data, consensus clustering, differential expression analysis, functional enrichment, and in vitro assays.

Time Range

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Freshness

Last updated 2026-05-03 13:19:16; freshness should be verified.

Geography

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