Systematic Characterization of Novel Immune Gene Signatures Predicts Prognostic Factors in Hepatocellular Carcinoma

• DOI: 10.3389/fcell.2021.686664
• Publication Date: 2021-09-23T06:14:25Z
• Authors: Dafeng Xu; Yu Wang; Jincai Wu; Yuliang Zhang; Zhehao Liu; Yonghai Chen; Jinfang Zheng
• Keywords: Gene signature

Background: The prognosis of patients with hepatocellular carcinoma (HCC) is negatively affected by the lack effective prognostic indicators. change tumor immune microenvironment promotes development HCC. This study explored new markers and predicted HCC systematically analyzing characteristic genes. Methods: Immune-related genes were obtained, differentially expressed (DEIGs) between para-cancer samples identified analyzed using gene expression profiles from TCGA, HCCDB, GEO databases. An model was also constructed to evaluate predictive performance in different cohorts. high low groups divided based on risk score model, algorithms used infiltration cell (TIIC). core pan-cancer cohorts analyzed, enrichment analysis performed clusterProfiler. Finally, hub validated clinical samples. Results: Based 730 immune-related genes, we 64 common DEIGs. These enriched immunologic related signaling pathways. first 15 selected RankAggreg analysis, all showed a consistent trend across multi-cohorts. lasso cox regression 5-gene signature (ATG10, IL18RAP, PRKCD, SLC11A1, SPP1) constructed. has strong robustness can stabilize (TCGA-LIHC, HCCDB18, GSE14520). Compared other existing models, our better performance. CIBERSORT assess landscape maps 22 types cells GSE14520, HCCDB18 cohorts, found distribution TIIC. In high-risk group, scores Macrophages M1, Mast resting, T CD8 significantly lower than those low-risk group. Different characteristics, lead prognosis. Western blot demonstrated that ATG10, SPP1 highly cancer tissues, while IL18RAP SLC11A1 tissues lower. addition, positive correlation B cell, macrophage, Neutrophil, Dendritic CD4 cell. SPP1, have strongest macrophages. varies among subtypes stages. Conclusion: 5-immu-gene this could be utilized as marker for