Prognostic roles of metabolic reprogramming-associated genes in patients with hepatocellular carcinoma.
Prognostic roles of metabolic reprogramming-associated genes in patients with hepatocellular carcinoma.
复制标题
代谢重编程相关基因在肝细胞癌患者中的预后作用
DOI：
10.18632/aging.104122
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发表时间：
2020-11-12
期刊：
影响因子：
--
通讯作者：
Zhang Y
中科院分区：
文献类型：
--
作者：
Cui L;Xue H;Wen Z;Lu Z;Liu Y;Zhang Y
代谢重新编程以适应肿瘤微环境被认为是癌症的标志。尽管许多代谢基因的改变已被报道与肿瘤的病理过程有关，但对与肝细胞癌预后有关的代谢基因的系统分析仍然很少见。本研究的目的是寻找与肝细胞癌相关的关键代谢基因，并探讨其临床意义。我们从癌症基因组图谱数据库下载了mRNA表达谱和临床肝细胞癌数据，以探索代谢基因对预后的作用。通过单因素COX回归分析和套索COX回归模型筛选出POLA1、UCK2、ACYP1、ENTPD2和TXNRD1 5个与预后相关的代谢基因，将患者分为高危和低危两组。此外，基因集浓缩分析显示，涉及高危患者的显著丰富的基因本体论术语和途径集中在核酸和脂肪酸代谢的调节上。综上所述，我们的研究确定了五个与生存相关的代谢基因，这些基因可以用来预测肝细胞癌患者的预后。这些基因可能在代谢微环境调节中发挥重要作用，是代谢治疗中潜在的重要候选靶点。
Metabolic reprogramming for adaptation to the tumor microenvironment is recognized as a hallmark of cancer. Although many altered metabolic genes have been reported to be associated with tumor pathological processes, systematic analysis of metabolic genes implicated in hepatocellular carcinoma prognosis remains rare. The aim of this study was to identify key metabolic genes related to hepatocellular carcinoma, and to explore their clinical significance. We downloaded mRNA expression profiles and clinical hepatocellular carcinoma data from The Cancer Genome Atlas database to explore the prognostic roles of metabolic genes. Five prognosis-associated metabolic genes, including POLA1, UCK2, ACYP1, ENTPD2, and TXNRD1, were screened via univariate Cox regression analysis and a LASSO Cox regression model, which divided patients into high- and low-risk groups. Furthermore, gene set enrichment analysis revealed that significantly-enriched gene ontology terms and pathways involving high-risk patients were focused on regulation of nucleic and fatty acid metabolism. Taken together, our study identified five metabolic genes related to survival, which can be used to predict the prognosis of patients with hepatocellular carcinoma. These genes may play essential roles in metabolic microenvironment regulation, and represent potentially important candidate targets in metabolic therapy.
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影响因子：
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作者：
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