Establishment of a Prognostic Model Using Immune-Related Genes in Patients With Hepatocellular Carcinoma

Frontiers in Genetics

Ting-Yan Hua¹  Wei Song²  Yue-Qing Huang³  Zhi-Liang Ding⁴  Jie Zhu⁵  Han Wang⁶  Jing-Jing Wang⁷  Wen-Jie Wang⁸ 

[1] Department of Gastroenterology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China;Department of Gastrointestinal Surgery II, Renmin Hospital of Wuhan University, Wuhan, China;Department of General Medicine, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China;Department of Neurosurgery, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China;Department of Oncology, Changzhou Traditional Chinese Medical Hospital, Changzhou, China;Department of Oncology, Jining Cancer Hospital, Jining, China;Department of Oncology, Taizhou Hospital of Traditional Chinese Medicine, Taizhou, China;Department of Radio-Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China;

关键词: hepatocellular carcinoma;    immune-related genes;    ceRNA network;    prognostic model;    The Cancer Genome Atlas (TCGA);   

DOI  :  10.3389/fgene.2020.00055

来源: DOAJ

【 摘 要 】

Hepatocellular carcinoma (HCC) is one of the most prevalent neoplasms worldwide, particularly in China. Immune-related genes (IRGs) and immune infiltrating lymphocytes play specific roles in tumor growth. Considering how important immunotherapy has become for HCC treatment in the past decade, our objective was to establish a prognostic model by screening survival-related IRGs in patients with HCC. Using edgeR, we identified differentially expressed IRGs (DEIRGs), DEmiRNAs, and DElncRNAs. Functional enrichment analysis of DEIRGs was performed to investigate the biological functions of IRGs via gene ontology annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Protein-protein interaction and competing endogenous RNA networks were established using Cytoscape. Survival-associated IRGs were selected via univariate COX regression analysis, a The Cancer Genome Atlas (TCGA) prognostic model and GSE76427 validation model were developed using multivariate COX regression analysis test by AIC (Akaike Information Criterion). We identified 116 DEIRGs in patients with HCC; the “cytokine-cytokine receptor interaction” pathway was found to be the most enriched pathway. Via the prognostic model helped us classify patients into high- and low-risk score groups based on overall survival (OS); high risk score was associated with worse OS, and a positive correlation was observed between the prognostic model and immune cell infiltration. To summarize, we established a prognostic model using survival-related IRGs that provides sufficient information for prognosis prediction and immunotherapy of patients with HCC.

【 授权许可】

Unknown