Immunogenic profiling of metastatic uveal melanoma discerns a potential signature related to prognosis.

ABSTRACT:

Background

Uveal melanoma (UM) is an aggressive intraocular malignant tumor. The present study aimed to identify the key genes associated with UM metastasis and established a gene signature to analyze the relationship between the signature and prognosis and immune cell infiltration. Later, a predictive model combined with clinical variables was developed and validated.

Methods

Two UM gene expression profile chip datasets were downloaded from TCGA and GEO databases. Immune-related genes (IRGs) were obtained from IMPORT database. First, these mRNAs were intersected with IRGs, and weighted gene co-expression network analysis (WGCNA) was used to identify the co-expression of genes primarily associated with metastasis of UM. Univariate Cox regression analysis screened the genes r

SUBMITTER: Wang J 

PROVIDER: S-EPMC10800307 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature