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作为乙型肝炎病毒相关肝细胞癌中的生物标志物。

as biomarker in hepatitis B virus-associated hepatocellular carcinoma.

作者信息

Huang Jian-Lv, Wang Xiang-Kun, Liao Xi-Wen, Han Chuang-Ye, Yu Ting-Dong, Huang Ke-Tuan, Yang Cheng-Kun, Liu Xiao-Guang, Yu Long, Zhu Guang-Zhi, Su Hao, Qin Wei, Han Quan-Fa, Liu Zheng-Qian, Zhou Xin, Liu Jun-Qi, Ye Xin-Ping, Peng Tao

机构信息

Department of Hepatobiliary Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, Guangxi Zhuang Autonomous Region, People's Republic of China.

Department of Hepatobiliary Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang, 524001, Guangdong Province, China.

出版信息

J Cancer. 2021 Apr 19;12(12):3486-3500. doi: 10.7150/jca.46579. eCollection 2021.

Abstract

Hepatitis B virus infection is associated with liver disease, including cancers. In this study, we assessed the power of sex-determining region Y (SRY)-related high-mobility group (HMG)-box 4() gene to predict the clinical course of hepatocellular carcinoma (HCC). To evaluate the differential expression of and its diagnostic and prognostic potential in HCC, we analyzed the GSE14520 dataset. Stratified analysis and joint-effect analysis were done using and clinical factor. We then designed a nomogram for predicting the clinical course of HCC. Differential expression and its correlation with tumor stage as well as its diagnostic and prognostic value were analyzed on the oncomine and GEPIA websites. Gene set enrichment analysis was explored as well as candidate gene ontology and metabolic pathways modulated by in HCC. Our analysis revealed that the level of was significantly upregulated in tumor issue ( <0.001). This observation was validated through oncomine dataset and MERAV analysis (all <0.05). Diagnostic receiver operating characteristic (ROC) analysis of suggested it has diagnostic potential in HCC (GSE14520 dataset: <0.001, area under curve (AUC) = 0.782; Oncomine: (Wurmbach dataset) = 0.002, AUC = 0.831 and (Mas dataset) <0.001, AUC = 0.947). In addition, exhibited high correlation with overall survival of HBV-associated HCC (adjusted = 0.004, hazard ratio (HR) (95% confidence interval (CI)) = 2.055 (1.261-3.349) and recurrence-free survival (adjusted = 0.008, HR (95% CI) = 1.721 (1.151-2.574). These observations which were verified by GEPIA analysis for overall survival ( = 0.007) and recurrence-free survival (= 0.096). Gene enrichment analysis revealed that affected processes included lymphocyte differentiation, pancreatic endocrine pathways, and insulin signaling pathway. prognostic value was evaluated using nomogram analysis for HCC 1, 3, and 5-year, survival. Differential expression presents an avenue of diagnosing and predicting clinical course of HCC. In HCC, may affect TP53 metabolic processes, lymphocyte differentiation and the insulin signaling pathway.

摘要

乙型肝炎病毒感染与包括癌症在内的肝脏疾病有关。在本研究中,我们评估了性别决定区Y(SRY)相关的高迁移率族(HMG)盒4()基因预测肝细胞癌(HCC)临床病程的能力。为了评估该基因在HCC中的差异表达及其诊断和预后潜力,我们分析了GSE14520数据集。使用该基因和临床因素进行分层分析和联合效应分析。然后,我们设计了一个列线图来预测HCC的临床病程。在Oncomine和GEPIA网站上分析了该基因的差异表达及其与肿瘤分期的相关性以及其诊断和预后价值。还探索了基因集富集分析以及HCC中该基因调节的候选基因本体和代谢途径。我们的分析显示,该基因在肿瘤组织中的水平显著上调(<0.001)。这一观察结果通过Oncomine数据集和MERAV分析得到验证(所有P<0.05)。对该基因的诊断性受试者工作特征(ROC)分析表明它在HCC中具有诊断潜力(GSE14520数据集:P<0.001,曲线下面积(AUC)=0.782;Oncomine:(Wurmbach数据集)P = 0.002,AUC = 0.831,(Mas数据集)P<0.001,AUC = 0.947)。此外,该基因与HBV相关HCC的总生存期高度相关(校正后P = 0.004,风险比(HR)(95%置信区间(CI))=2.055(1.261 - 3.349))以及无复发生存期(校正后P = 0.008,HR(95%CI)=1.721(1.151 - 2.574))。这些观察结果通过GEPIA分析的总生存期(P = 0.007)和无复发生存期(P = 0.096)得到验证。基因富集分析显示受影响的过程包括淋巴细胞分化、胰腺内分泌途径和胰岛素信号通路。使用列线图分析评估了该基因对HCC 1年、3年和5年生存期的预后价值。该基因的差异表达为诊断和预测HCC的临床病程提供了一条途径。在HCC中,该基因可能影响TP53代谢过程、淋巴细胞分化和胰岛素信号通路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/721f/8120190/2d43857d3a85/jcav12p3486g001.jpg

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