Metabolic genes have been reported to act as crucial roles in tumor progression. Lung adenocarcinoma (LUAD) is one of the most common cancers worldwide. This study aimed to predict the potential mechanism and novel markers of metabolic signature in LUAD. The gene expression profiles and the clinical parameters were obtained from The Cancer Genome Atlas-Lung adenocarcinoma (TCGA-LUAD) and Gene Expression Omnibus data set (GSE72094). A total of 105 differentially expressed metabolic genes of intersect expression in TCGA-LUAD and GSE72094 were screened by R language. Univariate Cox regression model found 18 survival-related genes and then the least absolute shrinkage and selection operator model was successfully constructed. Six significant genes prognostic model was validated though independent prognosis analysis. The model revealed high values for prognostic biomarkers by time-dependent receiver operating characteristic (ROC) analysis, risk score, Heatmap, and nomogram. In addition, Gene Set Enrichment Analysis showed that multiplex metabolism pathways correlated with LUAD. Furthermore, we found the six genes aberrantly expressed in LUAD samples. Our study showed that metabolism pathways play important roles in LUAD progression. The six metabolic genes could predict potential prognostic and diagnostic biomarkers in LUAD.

中文翻译：

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鉴定六种代谢基因作为肺腺癌的潜在生物标志物

据报道，代谢基因在肿瘤进展中起关键作用。肺腺癌 (LUAD) 是全球最常见的癌症之一。本研究旨在预测 LUAD 代谢特征的潜在机制和新标志物。基因表达谱和临床参数来自癌症基因组图谱-肺腺癌（TCGA-LUAD）和基因表达综合数据集（GSE72094）。通过R语言筛选TCGA-LUAD和GSE72094中交叉表达的105个差异表达代谢基因。单变量Cox回归模型找到18个生存相关基因，成功构建最小绝对收缩和选择算子模型。通过独立的预后分析验证了六个重要的基因预后模型。该模型通过时间依赖性接收器操作特征 (ROC) 分析、风险评分、热图和列线图显示了预后生物标志物的高价值。此外，基因集富集分析显示多重代谢途径与 LUAD 相关。此外，我们发现六个基因在 LUAD 样本中异常表达。我们的研究表明，代谢途径在 LUAD 进展中起着重要作用。这六个代谢基因可以预测 LUAD 的潜在预后和诊断生物标志物。我们的研究表明，代谢途径在 LUAD 进展中起着重要作用。这六个代谢基因可以预测 LUAD 的潜在预后和诊断生物标志物。我们的研究表明，代谢途径在 LUAD 进展中起着重要作用。这六个代谢基因可以预测 LUAD 的潜在预后和诊断生物标志物。