Recognition of molecular clusters and a novel prognostic signature based on natural killer cell-related genes in skin cutaneous melanoma.

ABSTRACT:

Background

Skin cutaneous melanoma (SKCM) is the third most common type of cutaneous malignant tumor with a poor prognosis. This research aimed to recognize molecular clusters and develop a novel prognostic signature based on natural killer (NK) cell-related genes (NKCRGs) in SKCM.

Methods

The data were obtained from public databases, including ImmPort, TCGA, GEO, GTEx and GEPIA2. The crucial NKCRGs in SKCM were determined by using a Venn diagram to intersect NKCRGs, differentially expressed genes and prognosis-related genes. The "clusterProfiler" software was employed to perform KEGG and GO analyses of crucial NKCRGs. The molecular subtypes were recognized based on crucial NKCRGs by consensus cluster analysis, and Kaplan-Meier survival curves of samples in different subtype

SUBMITTER: Yuan ZY 

PROVIDER: S-EPMC12406551 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature