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鉴定新型基于血液的 HCC 特异性诊断生物标志物用于人类肝细胞癌。

Identification of novel blood-based HCC-specific diagnostic biomarkers for human hepatocellular carcinoma.

机构信息

a Laboratory of Tropical Biomedicine and Biotechnology, School of Tropical Medicine and Laboratory Medicine , Hainan Medical University , Haikou , Hainan , China.

出版信息

Artif Cells Nanomed Biotechnol. 2019 Dec;47(1):1908-1916. doi: 10.1080/21691401.2019.1613421.

DOI:10.1080/21691401.2019.1613421
PMID:31072138
Abstract

INTRODUCTION

Hepatocellular carcinoma (HCC) ranks fourth in global cancer mortality, accounting for 8.2% of all cancer deaths. Early detection of HCC has a significant impact on clinical outcomes. The aim of this study was to identify blood-based biomarkers which are HCC-specific.

METHODS

Comprehensive gene expression raw data of purified RNA of peripheral blood mononuclear cells (PBMC) was downloaded from GEO and was then analyzed. Differentially expressed genes (DEGs) in HCC were screened and the method of weighted gene co-expression network analysis was applied to identify candidate blood-based biomarkers associated with HCC.

RESULTS

Three modules closely related to HCC were screened using WGCNA. Nuclear localization signal (NLS)-bearing protein import into nucleus biological process was the most significant enriched physiological process identified by MCODE, and 3 genes (DICER1, GMPS and NCOR1) were selected as biomarkers.

CONCLUSION

In our study, three novel blood-based HCC-specific diagnostic biomarkers for human hepatocellular carcinoma were identified. These findings may contribute to the non-invasive detection of early HCC patients.

摘要

简介

肝细胞癌(HCC)在全球癌症死亡率中排名第四,占所有癌症死亡人数的 8.2%。HCC 的早期检测对临床结果有重大影响。本研究旨在确定 HCC 特异性的基于血液的生物标志物。

方法

从 GEO 下载并分析外周血单个核细胞(PBMC)纯化 RNA 的综合基因表达原始数据。筛选 HCC 中的差异表达基因(DEGs),并应用加权基因共表达网络分析方法识别与 HCC 相关的候选基于血液的生物标志物。

结果

使用 WGCNA 筛选出与 HCC 密切相关的三个模块。通过 MCODE 鉴定到核定位信号(NLS)携带蛋白入核生物过程是最显著的富集生理过程,选择 3 个基因(DICER1、GMPS 和 NCOR1)作为生物标志物。

结论

在我们的研究中,确定了三个用于人类肝细胞癌的新型基于血液的 HCC 特异性诊断生物标志物。这些发现可能有助于早期 HCC 患者的非侵入性检测。

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