作为肝癌的诊断和预后生物标志物。
HN1 as a diagnostic and prognostic biomarker for liver cancer.
机构信息
Department of Gastrointestinal Surgery, The First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Department of Gastrointestinal and Colorectal Surgery, China-Japan Union Hospital, Jilin University, Changchun, Jilin 130033, P.R. China.
出版信息
Biosci Rep. 2020 Jul 31;40(7). doi: 10.1042/BSR20200316.
BACKGROUND
The present study aimed to examine the diagnostic and prognostic value of HN1 in terms of overall survival (OS) and recurrence-free survival (RFS) in liver cancer and its potential regulatory signaling pathway.
METHODS
We obtained clinical data and HN1 RNA-seq expression data of liver cancer patients from The Cancer Genome Atlas database, and analyzed the differences and clinical association of HN1 expression in different clinical features. We uesd receiver-operating characteristic curve to evaluate the diagnosis capability of HN1. We analyzed and evaluated the prognostic significance of HN1 by Kaplan-Meier curves and Cox analysis. Gene Set Enrichment Analysis (GSEA) was used to identify signaling pathways related to HN1 expression.
RESULTS
HN1 mRNA was up-regulated in liver cancer, and was associated with age, histologic grade, stage, T classification, M classification, and vital status. HN1 mRNA had ideal specificity and sensitivity for the diagnosis (AUC = 0.855). Besides, the analysis of Kaplan-Meier curves and Cox model showed that HN1 mRNA was strongly associated with the overall survival and could be well-predicted liver cancer prognosis, as an independent prognostic variable. GSEA analysis identified three signaling pathways that were enriched in the presence of high HN1 expression.
CONCLUSION
HN1 serves as a biomarker of diagnosis and prognosis in liver cancer.
背景
本研究旨在探讨 HN1 在肝癌总体生存率（OS）和无复发生存率（RFS）方面的诊断和预后价值及其潜在的调控信号通路。
方法
我们从癌症基因组图谱数据库中获得了肝癌患者的临床数据和 HN1 RNA-seq 表达数据，并分析了 HN1 表达在不同临床特征中的差异和临床关联。我们使用受试者工作特征曲线来评估 HN1 的诊断能力。我们通过 Kaplan-Meier 曲线和 Cox 分析来分析和评估 HN1 的预后意义。基因集富集分析（GSEA）用于鉴定与 HN1 表达相关的信号通路。
结果
HN1 mRNA 在肝癌中上调，并与年龄、组织学分级、分期、T 分类、M 分类和生存状态相关。HN1 mRNA 对诊断具有理想的特异性和敏感性（AUC = 0.855）。此外，Kaplan-Meier 曲线和 Cox 模型分析表明，HN1 mRNA 与总生存率密切相关，可以作为独立的预后变量很好地预测肝癌预后。GSEA 分析鉴定出了在高 HN1 表达时富集的三个信号通路。
结论
HN1 可作为肝癌诊断和预后的生物标志物。
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