Development and Validation of a Novel Metabolic Signature-Based Prognostic Model for Uveal Melanoma.

ABSTRACT:

Purpose

Uveal melanoma (UM) is the most common primary malignant tumor with poor prognosis. The role of metabolism-related genes in the prognosis of UM remains unrevealed. This study aimed to establish and validate a prognostic prediction model for UM based on metabolism-related genes.

Methods

Gene expression profiles and clinicopathological information were downloaded from The Cancer Genome Atlas, and the Gene Expression Omnibus database. Univariable Cox regression, least absolute shrinkage and selection operator Cox regression, and stepwise regression were performed to establish the model. Kaplan-Meier survival analysis, receiver operating characteristic (ROC) curve analysis, and calibration and discrimination analyses were used to evaluate the prognostic model.

Results

SUBMITTER: Shi K 

PROVIDER: S-EPMC9100464 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature