Multi-omics analysis reveals prognostic value of tumor mutation burden in hepatocellular carcinoma.

ABSTRACT:

Background

Hepatocellular carcinoma (HCC) was the sixth common malignancies characteristic with highly aggressive in the world. It was well established that tumor mutation burden (TMB) act as indicator of immunotherapeutic responsiveness in various tumors. However, the role of TMB in tumor immune microenvironment (TIME) is still obscure.

Method

The mutation data was analyzed by employing "maftools" package. Weighted gene co-expression network analysis (WGCNA) was implemented to determine candidate module and significant genes correlated with TMB value. Differential analysis was performed between different level of TMB subgroups employing R package "limma". Gene ontology (GO) enrichment analysis was implemented with "clusterProfiler", "enrichplot" and "ggplot2" packages. Then

SUBMITTER: Xu Q 

PROVIDER: S-EPMC8254981 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature