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首页> 外文期刊>Frontiers in Medicine >An Immune Signature Robustly Predicts Clinical Deterioration for Hepatitis C Virus-Related Early-Stage Cirrhosis Patients
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An Immune Signature Robustly Predicts Clinical Deterioration for Hepatitis C Virus-Related Early-Stage Cirrhosis Patients

机译:免疫签名稳健地预测丙型肝炎病毒相关早期肝硬化患者的临床恶化

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Hepatitis C virus (HCV)-related cirrhosis leads to a heavy global burden of disease. Clinical risk stratification in HCV-related compensated cirrhosis remains a major challenge. Here, we aim to develop a signature comprised of immune-related genes to identify patients at high risk of progression and systematically analyze immune infiltration in HCV-related early-stage cirrhosis patients. Bioinformatics analysis was applied to identify immune-related genes and construct a prognostic signature in microarray data set. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analyses were conducted with the “clusterProfiler” R package. Besides, the single sample gene set enrichment analysis (ssGSEA) was used to quantify immune-related risk term abundance. The nomogram and calibrate were set up via the integration of the risk score and clinicopathological characteristics to assess the effectiveness of the prognostic signature. Finally, three genes were identified and were adopted to build an immune-related prognostic signature for HCV-related cirrhosis patients. The signature was proved to be an independent risk element for HCV-related cirrhosis patients. In addition, according to the time-dependent receiver operating characteristic (ROC) curves, nomogram, and calibration plot, the prognostic model could precisely forecast the survival rate at the first, fifth, and tenth year. Notably, functional enrichment analyses indicated that cytokine activity, chemokine activity, leukocyte migration and chemotaxis, chemokine signaling pathway and viral protein interaction with cytokine and cytokine receptor were involved in HCV-related cirrhosis progression. Moreover, ssGSEA analyses revealed fierce immune-inflammatory response mechanisms in HCV progress. Generally, our work developed a robust prognostic signature that can accurately predict the overall survival, Child-Pugh class progression, hepatic decompensation, and hepatocellular carcinoma (HCC) for HCV-related early-stage cirrhosis patients. Functional enrichment and further immune infiltration analyses systematically elucidated potential immune response mechanisms.
机译:丙型肝炎病毒(HCV)相关的肝硬化导致疾病的沉重的全球负担。在HCV相关代偿期肝硬化临床风险分层仍然是一个重大的挑战。在这里,我们的目标是发展由免疫相关基因在进展的高风险,以确定患者和系统在HCV相关的早期肝硬化患者的免疫分析浸润的签名。应用识别与免疫相关的基因和构建微阵列数据集的预后标志生物信息学分析。基因本体论(GO)和京都基因与基因组百科(KEGG)功能富集分析用的“clusterProfiler” R包进行。此外,单个样品的基因组富集分析(ssGSEA)用于定量免疫相关的风险长期丰富。列线图和校准是通过风险评分和临床病理特征的整合设立,以评估预后标志的有效性。最后,三个基因进行鉴定,并通过了以建立HCV相关性肝硬化患者的免疫相关的预后标志。签名被证明是对HCV相关性肝硬化患者的独立危险因素。此外,根据时间依赖性受试者工作特征(ROC)曲线,列线图,和校准图,预报模型可以准确地预测在第一,第五和第十个年头的生存率。值得注意的是,功能富集分析表明,细胞因子的活性,趋化因子活性,白细胞迁移和趋化作用,趋化因子信号转导途径和病毒蛋白质相互作用与细胞因子和细胞因子受体参与HCV相关性肝硬化发展。此外,ssGSEA分析揭示了HCV进步激烈的免疫炎症反应机制。一般情况下,我们的工作开发出一个强大的预后签名能准确预测总生存期,Child-Pugh分级类的进展,肝功能失代偿和肝细胞癌(HCC)的HCV相关的早期肝硬化患者。功能丰富,并进一步渗透免疫系统分析了阐明潜在的免疫反应机制。

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