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Dataset Information

Development and validation of a novel prognostic signature based on m6A/m5C/m1A-related genes in hepatocellular carcinoma.


ABSTRACT:

Background

RNA methylation modification plays an important role in cancers. This study sought to examine the association between m6A/m5C/m1A-related genes and hepatocellular carcinoma (HCC).

Methods

Gene expression and clinical data of HCC patients were obtained from the TCGA database. Unsupervised consensus clustering was performed according to the expression of m6A/m5C/m1A-related genes in HCC. The relationships among prognosis, clinicopathological features and molecular subtypes were analyzed. Least absolute shrinkage and selection operator (LASSO) regression analysis was used to establish the m6A/m5C/m1A-related gene prognostic signature. Furthermore, the prognostic signature was validated based on the ICGC dataset. RT‒qPCR was used to detect the expression of the model

SUBMITTER: Xiao Y 

PROVIDER: S-EPMC10391842 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature