A Novel 8-Gene Prognostic Signature for Survival Prediction of Uveal Melanoma.

ABSTRACT:

Background

Uveal melanoma (UM) has favorable local tumor control, but once metastasis develops, the prognosis is rather poor. Thus, it is urgent to develop metastasis predicting markers.

Objective

Our study investigated a novel gene expression-based signature in predicting metastasis for patients with UM.

Methods

In the discovery phase, 63 patients with UM from GEO data set GSE22138 were analyzed using the Weighted Correlation Network Analysis (WGCNA) to identify metastasis-related hub genes. The Least Absolute Shrinkage and Selection Operator (Lasso) Cox regression was used to select candidate genes and build a gene expression signature. In the validation phase, the signature was validated in The Cancer Genome Atlas database.

Results

Forty-one genes were ident

SUBMITTER: Tang Z 

PROVIDER: S-EPMC8382551 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature