School of Basic Medical Sciences, Zhengzhou University, Zhengzhou 450001, China.
Department of Immunology, School of Basic Medical Sciences, Xinxiang Medical University, Xinxiang 453003, China.
J Healthc Eng. 2021 Oct 29;2021:3761858. doi: 10.1155/2021/3761858. eCollection 2021.
Hepatocellular carcinoma (HCC) is one of the leading causes of cancer-related death. HBV infection is an important risk factor for the tumorigenesis of HCC, given that the inflammatory environment is closely related to morbidity and prognosis. Consequently, it is of urgent importance to explore the immunogenomic landscape to supplement the prognosis of HCC. The expression profiles of immune-related genes (IRGs) were integrated with 377 HCC patients to generate differentially expressed IRGs based on the Cancer Genome Atlas (TCGA) dataset. These IRGs were evaluated and assessed in terms of their diagnostic and prognostic values. A total of 32 differentially expressed immune-related genes resulted as significantly correlated with the overall survival of HCC patients. The Gene Ontology functional enrichment analysis revealed that these genes were actively involved in cytokine-cytokine receptor interaction. A prognostic signature based on IRGs (HSPA4, PSME3, PSMD14, FABP6, ISG20L2, TRAF3, NDRG1, NRAS, CSPG5, and IL17D) stratified patients into high-risk versus low-risk groups in terms of overall survival and remained as an independent prognostic factor in multivariate analyses after adjusting for clinical and pathologic factors. Several IRGs (HSPA4, PSME3, PSMD14, FABP6, ISG20L2, TRAF3, NDRG1, NRAS, CSPG5, and IL17D) of clinical significance were screened in the present study, revealing that the proposed clinical-immune signature is a promising risk score for predicting the prognosis of HCC.
肝细胞癌 (HCC) 是癌症相关死亡的主要原因之一。HBV 感染是 HCC 肿瘤发生的一个重要危险因素，因为炎症环境与发病率和预后密切相关。因此，探索免疫基因组图谱以补充 HCC 的预后具有重要意义。基于癌症基因组图谱 (TCGA) 数据集，将免疫相关基因 (IRGs) 的表达谱与 377 名 HCC 患者整合，生成基于 TCGA 数据集的差异表达 IRGs。评估这些 IRGs 的诊断和预后价值。总共鉴定出 32 个差异表达的免疫相关基因与 HCC 患者的总生存率显著相关。基因本体论功能富集分析表明，这些基因积极参与细胞因子-细胞因子受体相互作用。基于 IRGs 的预后特征 (HSPA4、PSME3、PSMD14、FABP6、ISG20L2、TRAF3、NDRG1、NRAS、CSPG5 和 IL17D) 根据总体生存率将患者分为高风险组和低风险组，并且在调整临床和病理因素后的多变量分析中仍然是一个独立的预后因素。本研究筛选出了几个具有临床意义的 IRGs (HSPA4、PSME3、PSMD14、FABP6、ISG20L2、TRAF3、NDRG1、NRAS、CSPG5 和 IL17D)，表明所提出的临床免疫特征是预测 HCC 预后的有前途的风险评分。
