• Yu-Yang Chen, Shi-Mao Zhang, Heng-Xia Zhao, Jing-Yue Zhang, Li-Rong Lian, De-Liang Liu, and Shu-Fang Chu.
• Shenzhen Bao'an Traditional Chinese Medicine Hospital Group, Shenzhen, Guangdong, People's Republic of China.
• Medicine (Baltimore). 2022 Nov 18; 101 (46): e31814e31814.

PurposeBioinformatics methods were used to identify the key genes associated with the immune microenvironment of hepatocellular carcinoma (HCC) to construct an immune risk prognostic model (IRPM) and to study the correlation between IRPM's risk groups and immune characteristics of patients with HCC.MethodsHCC transcriptome sequencing information was searched for immune-related genes (IRGs) that were regularly expressed in cancer tissues. The IRGs, which were strongly linked to overall survival were screened; the prognostic characteristics model was constructed using Cox regression analysis. IRPM's independent prognostic value was explored; Kaplan-Meier survival and receiver-operating characteristic curves were used to determine the model prediction ability in the led-to queue.ResultsPatients in the high-risk group (HRG) showed significantly poor outcomes. Gene Set Enrichment Analysis revealed factors involved in both the HRG and low risk group. Immune-related hub genes (IRHGs) and drug sensitivity expression levels revealed that all IRHGs were correlated with drug sensitivity for certain chemotherapy drugs.ConclusionThe study results may serve as a reference for improving prognosis, early screening, and immunotherapy in patients with HCC.Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc.

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