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Seven immune‐related genes prognostic power and correlation with tumor‐infiltrating immune cells in hepatocellular carcinoma

机译:七种免疫相关基因预后功率和与肝细胞癌中肿瘤浸润的免疫细胞的相关性

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Background Given poor prognosis and the lack of efficient therapy for advanced hepatocellular carcinoma, immunotherapy has emerged as an increasingly important role. However, there were few reports on the correlation between immune‐related genes and HCC. The purpose of this study is to construct a novel immune‐related gene‐based prognostic signature for HCC and to explore the potential mechanisms. Methods We organized expression data of 374 HCC samples and 50 nontumor samples from TCGA database. A robust signature was constructed by Cox regression analysis based on the immune‐related genes, which were filtered by differential genes analysis and Cox regression analysis. Then, the correlation analysis between the signature and clinical characteristics was conducted. And the signature was validated in ICGC database. Furthermore, the relationships between immune cell infiltration and the signature were explored by bioinformatics analysis. Results Seven genes‐based model (Risk score?=?BIRC5 * 0.0238?+?FOS * 0.0055?+?DKK1 * 0.0085?+?FGF13 * 0.3432?+?IL11 * 0.0135?+?IL17D * 0.0878?+?SPP1 * 0.0003) was constructed eventually and it was proved to be an independent prognostic factor for HCC patients. The signature‐calculated risk scores were shown to be positively correlated with the infiltration of these five immune cells, including macrophages, neutrophils, CD8+T, dendritic, and B cells. And the results suggested that high amplication of BIRC5, FGF13, IL11, IL17D, and SPP1 were more likely correlated with immune cell infiltration. Finally, PPI network, TFs‐based regulatory network and gene enrichment plots were performed to show potential?molecular?mechanisms. Conclusion We construct a robust immune‐related gene‐based prognostic signature with seven genes and explore potential mechanisms about it, which may contribute to the immunotherapy research for HCC.
机译:背景技术鉴于预后差和缺乏高效肝细胞癌的有效治疗,免疫疗法成为越来越重要的作用。然而,少数关于免疫相关基因与HCC之间的相关性的报道。本研究的目的是构建用于HCC的新型免疫相关基因的预后签名,并探讨潜在的机制。方法从TCGA数据库组织374 HCC样本的表达数据和50个Nontumor样本。通过基于免疫相关基因的COX回归分析构建了一种稳健的签名,其通过差分基因分析和COX回归分析过滤。然后,进行了签名和临床特征之间的相关分析。并且签名在ICGC数据库中验证。此外,通过生物信息学分析探索了免疫细胞浸润与签名之间的关系。结果七种基因型模型(风险分数?=?BIRC5 * 0.0238?+?FOS * 0.0055?+ DKK1 * 0.0085?+?FGF13 * 0.3432?+ IL11 * 0.0135?+?IL17D * 0.0878?+?SPP1 *最终构建了0.0003),被证明是HCC患者的独立预后因素。显示签名计算的风险评分与这五种免疫细胞的渗透有阳性相关,包括巨噬细胞,中性粒细胞,CD8 + T,树突和B细胞。结果表明,高扩增的BirC5,FGF13,IL11,IL17D和SPP1更可能与免疫细胞浸润相关。最后,进行了PPI网络,基于TFS的调节网络和基因富集图以显示潜在的Δ分子?机制。结论我们用七种基因构建一种鲁棒的免疫相关基因预后签名,探讨其潜在机制,这可能有助于HCC的免疫疗法研究。

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