Unknown

Dataset Information

Comprehensive systems biology analysis reveals splicing factor contributions to cutaneous melanoma progression.


ABSTRACT: Cutaneous melanoma (CM) is an aggressive skin cancer with high metastatic potential and poor prognosis. Splicing factors, which regulate pre-mRNA alternative splicing (AS) events, have been suggested as potential therapeutic targets in CM. The objective of this study was to identify candidate splicing factors involved in CM through a systems biology approach and to elucidate their roles in CM progression. 390 AS events associated with patient survival were identified using bivariate Cox regression and receiver operating characteristic (ROC) analyses. 121 splicing factors significantly associated with patient prognosis were screened by univariate Cox regression analysis. A bipartite association network between AS events and splicing factors was constructed using Spearman correlation analysi

SUBMITTER: Zhu S 

PROVIDER: S-EPMC11923367 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature