Multi-gradient permutation survival analysis identifies mitosis and immune signatures steadily associated with cancer patient prognosis.

ABSTRACT: The inconsistency of the association between genes and cancer prognosis is often attributed to many variables that contribute to patient survival. Whether there exist the Genes Steadily Associated with Prognosis (GEARs) and functions remains largely elusive. Here, we developed a novel method named 'Multi-gradient Permutation Survival Analysis' (MEMORY) to screen the GEARs by using RNA-seq data from the TCGA database. We employed a network construction approach to identify hub genes from GEARs and utilized them for cancer classification. In the case of lung adenocarcinoma (LUAD), the GEARs were found to be related to mitosis. Our analysis suggested that LUAD cell lines carrying PIK3CA mutations exhibit increased dr

SUBMITTER: Cai X 

PROVIDER: S-EPMC12711199 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature