A seven-immune-genes risk model predicts the survival and suitable treatments for patients with skin cutaneous melanoma.

ABSTRACT:

Background

Skin cutaneous melanoma is characterized by high malignancy and prognostic heterogeneity. Immune cell networks are critical to the biological progression of melanoma through the tumor microenvironment. Thus, identifying effective biomarkers for skin cutaneous melanoma from the perspective of the tumor microenvironment may offer strategies for precise prognosis prediction and treatment selection.

Methods

A total of 470 cases from The Cancer Genome Atlas and 214 from the Gene Expression Omnibus were systematically evaluated to construct an optimal independent immune cell risk model with predictive value using weighted gene co-expression network analysis, Cox regression, and least absolute shrinkage and selection operator assay. The predictive power of the developed

SUBMITTER: Lin X 

PROVIDER: S-EPMC10560028 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature