Artificial intelligence-based immunoprofiling serves as a potentially predictive biomarker of nivolumab treatment for advanced hepatocellular carcinoma.

ABSTRACT: Immune checkpoint inhibitors (ICI) have been applied in treating advanced hepatocellular carcinoma (aHCC) patients, but few patients exhibit stable and lasting responses. Moreover, identifying aHCC patients suitable for ICI treatment is still challenged. This study aimed to evaluate whether dissecting peripheral immune cell subsets by Mann-Whitney U test and artificial intelligence (AI) algorithms could serve as predictive biomarkers of nivolumab treatment for aHCC. Disease control group carried significantly increased percentages of PD-L1⁺ monocytes, PD-L1⁺ CD8 T cells, PD-L1⁺ CD8 NKT cells, and decreased percentages of PD-L1⁺ CD8 NKT cells via Mann-Whitney U test. By recursive feature elimination method, five featured subsets (CD4 NKTreg, PD-1<

SUBMITTER: Lee JM 

PROVIDER: S-EPMC9679144 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature