Identification of a prognostic six-immune-gene signature and a nomogram model for uveal melanoma.

ABSTRACT:

Background

To identify an immune-related prognostic signature and find potential therapeutic targets for uveal melanoma.

Methods

The RNA-sequencing data obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. The prognostic six-immune-gene signature was constructed through least absolute shrinkage and selection operator and multi-variate Cox regression analyses. Functional enrichment analysis and single sample GSEA were carried out. In addition, a nomogram model established by integrating clinical variables and this signature risk score was also constructed and evaluated.

Results

We obtained 130 prognostic immune genes, and six of them were selected to construct a prognostic signature in the TCGA uveal melanoma dataset. Patients were c

SUBMITTER: Yang B 

PROVIDER: S-EPMC9809105 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature