Identification of an immune subtype predicting survival risk and immune activity in hepatocellular carcinoma.
Ontology highlight
ABSTRACT: Immune checkpoint inhibitors (ICI) prolong the survival for advanced/metastatic patients with lung cancer or melanoma; however, for hepatocellular carcinoma (HCC) patients, a durable response has not been reported. Herein, we used a total of 719 HCC patients with public genomic data to determine potential prognostic and immunogenic subtypes. The non-negative matrix factorization (NMF) method was applied to identify the immune classes and potential subtypes. The proportion of tumor infiltration immune cells was estimated using the CIBERSORT algorithm. Gene set enrichment analysis (GSEA) was utilized to calculate the dysregulated pathways. By using NMF analysis for the gene expression profile of the top immune genes, one HCC subtype with better survival (i.e., low-risk subtype) and another w
SUBMITTER: Zhao F
PROVIDER: S-EPMC12705184 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature
ACCESS DATA