Unknown

Dataset Information

Identification of a Novel Gene Signature Based on Kinesin Family Members to Predict Prognosis in Glioma.


ABSTRACT: Background and Objectives: Extensive research indicates that the kinesin superfamily (KIFs) regulates tumor progression. Nonetheless, the potential prognostic and therapeutic role of KIFs in glioma has been limited. Materials and Methods: Four independent cohorts from The Cancer Genome Atlas (TCGA) database and the Chinese Glioma Genome Atlas (CGGA) database were generated into a large combination cohort for identification of the prognostic signature. Following that, systematic analyses of multi-omics data were performed to determine the differences between the two groups. In addition, IDH1 was selected for the differential expression analysis. Results: The signature consists of five KIFs (KIF4A, KIF26A, KIF1A, KIF13A, and KIF13B) that were successfully identified. Rec

SUBMITTER: Pan D 

PROVIDER: S-EPMC9959126 | biostudies-literature | 2023 Feb

REPOSITORIES: biostudies-literature