Unknown

Dataset Information

A development and validation of predictive model based on novel immune-related gene-based subtypes for the risk assessment of cutaneous melanoma.


ABSTRACT:

Background

Cutaneous melanoma (CM) exhibits considerable heterogeneity, and the immune status of patients can serve as a prognostic indicator. The increasing significance of immune-related markers in cancer prognosis provides clinicians with valuable tools for risk stratification and management decisions. The objective of this study was to develop a predictive model for assessing the risk of CM based on novel subtypes delineated according to immune-related genes.

Methods

This study included a cohort from The Cancer Genome Atlas (TCGA). Immune-related genes were carefully selected, and a comprehensive analysis was performed to characterize the molecular alterations and clinical implications linked to these genes. From this, an immune-related risk scoring system aimed at predi

SUBMITTER: Li F 

PROVIDER: S-EPMC12432783 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature