Departments of Oncological Surgery, the Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.
J Cell Mol Med. 2020 May;24(10):5842-5849. doi: 10.1111/jcmm.15254. Epub 2020 Apr 13.
Metabolic reprogramming has become a hot topic recently in the regulation of tumour biology. Although hundreds of altered metabolic genes have been reported to be associated with tumour development and progression, the important prognostic role of these metabolic genes remains unknown. We downloaded messenger RNA expression profiles and clinicopathological data from The Cancer Genome Atlas and the Gene Expression Omnibus database to uncover the prognostic role of these metabolic genes. Univariate Cox regression analysis and lasso Cox regression model were utilized in this study to screen prognostic associated metabolic genes. Patients with high-risk demonstrated significantly poorer survival outcomes than patients with low-risk in the TCGA database. Also, patients with high-risk still showed significantly poorer survival outcomes than patients with low-risk in the GEO database. What is more, gene set enrichment analyses were performed in this study to uncover significantly enriched GO terms and pathways in order to help identify potential underlying mechanisms. Our study identified some survival-related metabolic genes for rectal cancer prognosis prediction. These genes might play essential roles in the regulation of metabolic microenvironment and in providing significant potential biomarkers in metabolic treatment.
代谢重编程已成为肿瘤生物学调控领域的一个热门话题。尽管已有数百种代谢基因的改变与肿瘤的发生和发展相关，但这些代谢基因的重要预后作用仍不清楚。我们从癌症基因组图谱和基因表达综合数据库下载了信使 RNA 表达谱和临床病理数据，以揭示这些代谢基因的预后作用。本研究采用单因素 Cox 回归分析和套索 Cox 回归模型筛选预后相关的代谢基因。在 TCGA 数据库中，高风险组患者的生存结局明显差于低风险组患者。此外，在 GEO 数据库中，高风险组患者的生存结局仍明显差于低风险组患者。更重要的是，本研究进行了基因集富集分析，以揭示显著富集的 GO 术语和途径，以帮助确定潜在的潜在机制。我们的研究鉴定了一些与直肠癌预后相关的代谢基因，这些基因可能在代谢微环境的调控中发挥重要作用，并为代谢治疗提供有意义的潜在生物标志物。
