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首页> 外文期刊>Journal of cellular physiology. >A novel prognostic index of hepatocellular carcinoma based on immunogenomic landscape analysis
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A novel prognostic index of hepatocellular carcinoma based on immunogenomic landscape analysis

机译：一种新的预后指数的肝细胞基于immunogenomic景观癌分析

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摘要

Changes in immune responses to hepatocellular carcinoma (HCC) are closely related to the occurrence, development, and prognosis of this disease. Exploring the role of immune-related genes (IRGs) in HCC would provide insights into the mechanisms regulating this disease. The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) provide a platform for such research, owing to a large number of HCC samples available for comprehensive and systematic immunogenomics analyses. We analyzed the IRGs expression profile and clinical information of patients with HCC based on the TCGA and ICGC database. Potential molecular mechanisms and properties of the screened IRGs were analyzed across multiple databases. And we analyzed the correlation between IRGs, single-nucleotide polymorphisms, and copy number variation. A novel prognostic index, based on IRGs, was developed using the LASSO Cox regression algorithm, followed by univariate and multivariate Cox regression analyses to analyze the prognostic index. Information in the ICGC database was used to verify the reliability of the prognostic index. A total of 54 differentially expressed IRGs were found to be significantly associated with HCC prognosis, and there is a significant correlation between their expression level and copy number variation. Functional enrichment analyses indicated that the genes play active roles in tumor and immune-related signaling pathways. In addition, five potential biomarkers namely IRG, MAPK3, HSP90AA1, HSP90AB1, HSPA4, and CDK4, were identified. Finally, a novel prognostic index, based on IRGs (PSMD14, FABP6, ISG20L2, HGF, BIRC5, IL17D, and STC2), was found useful as an independent prognostic factor, not only for prognosis but also to reflect levels of infiltration in a variety of immune cells. Our team conducted a genomics study of IRGs in HCC and screened several clinically significant IRGs, and our model provides an effective approach for stratification and characterization of patients using IRG-based immunolabeling tools to monitor the prognosis of HCC.
机译：对肝细胞的免疫反应的变化癌(HCC)密切相关发生、发展和预后疾病。肝细胞癌基因(irg)将提供见解调节这一疾病的机制。癌症基因组图谱(TCGA)和国际癌症基因组联盟(ICGC)提供这样的研究平台,由于大可用的肝癌样本数量全面和系统immunogenomics分析。伊斯兰革命卫队表达谱和临床分析肝癌患者的基于信息TCGA和ICGC数据库。机制和筛选尾声时的属性分析了跨多个数据库。分析了伊斯兰革命卫队之间的相关性,单核苷酸多态性和拷贝数变异。尾声时,开发使用套索考克斯回归算法,其次是单变量和多变量Cox回归分析分析预后指数。数据库被用来验证的可靠性预后指数。差异表达尾声时被发现与肝细胞癌预后显著相关,他们之间有显著相关性表达水平和拷贝数变异。功能富集分析表明,基因在肿瘤和扮演积极的角色免疫细胞信号通路。五个潜在生物标记物即伊斯兰革命卫队、MAPK3HSP90AA1、HSP90AB1 HSPA4,到识别。基于伊斯兰革命卫队(PSMD14 FABP6 ISG20L2, HGF,BIRC5、IL17D STC2),发现有用的作为独立的预后因子,不仅对预后也反映的水平渗透在各种免疫细胞。团队进行了基因组学研究肝癌的尾声和筛选一些临床上重要的尾声时,和我们的模型提供了一种有效的方法分层以及病人的表征使用IRG-based immunolabeling工具来监控肝细胞癌的预后。

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