A new risk score based on twelve hepatocellular carcinoma-specific gene expression can predict the patients' prognosis.
A new risk score based on twelve hepatocellular carcinoma-specific gene expression can predict the patients' prognosis.
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DOI：
10.18632/aging.101563
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发表时间：
2018-09-21
期刊：
影响因子：
--
通讯作者：
Liu C
中科院分区：
文献类型：
--
作者：
Lin T;Gu J;Qu K;Zhang X;Ma X;Miao R;Xiang X;Fu Y;Niu W;She J;Liu C
大量的分子生物标志物已被确定用于预测肝细胞癌（HCC）的预后，但由于难以推断，临床应用有限。我们在此建立了一个由12个HCC特异性基因组成的遗传风险评分系统，以更好地预测HCC患者的预后。通过比较肿瘤样本与正常肝组织之间以及不同亚型肝肿瘤之间的差异，检索4个基因组分析数据集（GSE5851、GSE28691、GSE15765和GSE14323），寻找hcc特异性基因。单变量生存分析筛选训练数据集中与总生存（OS）相关的hcc特异性基因，用于下一步风险模型构建。构建的HCC风险评分系统的预后价值随后在TCGA数据集中得到验证。分层分析表明，该评分系统在老年男性HBV感染患者术前肌酐、甲胎蛋白、血小板水平较低、白蛋白水平较高时表现较好。该风险模型在高危患者中的功能注释显示，与细胞周期、细胞迁移和炎症相关的通路显著丰富。综上所述，我们构建的HCC特异性基因风险模型在预测HCC患者预后方面具有稳健性和潜力，特别是在感染HBV且一般情况相对较好的老年男性患者中。
A large panel of molecular biomarkers have been identified to predict the prognosis of hepatocellular carcinoma (HCC), yet with limited clinical application due to difficult extrapolation. We here generated a genetic risk score system comprised of 12 HCC-specific genes to better predict the prognosis of HCC patients. Four genomics profiling datasets (GSE5851, GSE28691, GSE15765 and GSE14323) were searched to seek HCC-specific genes by comparisons between cancer samples and normal liver tissues and between different subtypes of hepatic neoplasms. Univariate survival analysis screened HCC-specific genes associated with overall survival (OS) in the training dataset for next-step risk model construction. The prognostic value of the constructed HCC risk score system was then validated in the TCGA dataset. Stratified analysis indicated this scoring system showed better performance in elderly male patients with HBV infection and preoperative lower levels of creatinine, alpha-fetoprotein and platelet and higher level of albumin. Functional annotation of this risk model in high-risk patients revealed that pathways associated with cell cycle, cell migration and inflammation were significantly enriched. In summary, our constructed HCC-specific gene risk model demonstrated robustness and potentiality in predicting the prognosis of HCC patients, especially among elderly male patients with HBV infection and relatively better general conditions.
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影响因子：
64.5
作者：
Cancer Genome Atlas Research Network. Electronic address: wheeler@bcm.edu;Cancer Genome Atlas Research Network
通讯作者：
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影响因子：
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作者：
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DOI：
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发表时间：
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作者：
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