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首页> 外文期刊>Journal of cellular physiology. >Identification of a four-gene metabolic signature predicting overall survival for hepatocellular carcinoma
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Identification of a four-gene metabolic signature predicting overall survival for hepatocellular carcinoma

机译：基因研究的四个代谢签名的识别预测肝细胞总体生存癌

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摘要

While hundreds of consistently altered metabolic genes had been identified in hepatocellular carcinoma (HCC), the prognostic role of them remains to be further elucidated. Messenger RNA expression profiles and clinicopathological data were downloaded from The Cancer Genome Atlas—Liver Hepatocellular Carcinoma and GSE14520 data set from the Gene Expression Omnibus database. Univariate Cox regression analysis and lasso Cox regression model established a novel four-gene metabolic signature (including acetyl-CoA acetyltransferase 1, glutamic-oxaloacetic transaminase 2, phosphatidylserine synthase 2, and uridine-cytidine kinase 2) for HCC prognosis prediction. Patients in the high-risk group shown significantly poorer survival than patients in the low-risk group. The signature was significantly correlated with other negative prognostic factors such as higher α-fetoprotein. The signature was found to be an independent prognostic factor for HCC survival. Nomogram including the signature shown some clinical net benefit for overall survival prediction. Furthermore, gene set enrichment analyses revealed several significantly enriched pathways, which might help explain the underlying mechanisms. Our study identified a novel robust four-gene metabolic signature for HCC prognosis prediction. The signature might reflect the dysregulated metabolic microenvironment and provided potential biomarkers for metabolic therapy and treatment response prediction in HCC.
机译：虽然数以百计的持续改变代谢基因在肝细胞被确认癌(HCC)预后的作用还有待进一步阐明。表达谱和临床病理的数据从癌症基因组下载吗Atlas-Liver肝细胞癌和GSE14520从基因表达综合数据集数据库。套索Cox回归模型建立了一个小说(包括基因研究的四个代谢签名乙酰辅酶a乙酰转移酶1glutamic-oxaloacetic氨基转移酶2,磷脂酰丝氨酸合酶2,uridine-cytidine激酶2)对肝细胞癌的预后预测。生存比病人更糟低风险组。与其他负显著相关预后因素,如高α胎蛋白。被发现是一个独立的签名肝细胞癌生存的预后因素。包括一些临床网显示的签名有利于整体生存的预测。此外,基因集富集分析显示几大大丰富了通路,这可能有助于解释底层吗机制。肝细胞癌预后的基因研究的四个代谢签名预测。代谢微环境和特异表达为代谢提供了潜在的生物标记物在肝癌治疗和治疗反应预测。

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