Establishment and validation of a prognostic signature for lung adenocarcinoma based on metabolism‐related genes

作者：Zhihao Wang, Kidane Siele Embaye, Qing Yang, Lingzhi Qin, Chao Zhang, Liwei Liu, Xiaoqian Zhan, Fengdi Zhang, Xi Wang, Shenghui Qin · 发表于：Cancer Cell International · 年份：2021 · DOI：10.1186/s12935-021-01915-x · 被引用次数：62 · 研究领域：Ferroptosis and cancer prognosis、Cancer, Hypoxia, and Metabolism、Cancer, Lipids, and Metabolism

BACKGROUND: Given that dysregulated metabolism has been recently identified as a hallmark of cancer biology, this study aims to establish and validate a prognostic signature of lung adenocarcinoma (LUAD) based on metabolism-related genes (MRGs). METHODS: The gene sequencing data of LUAD samples with clinical information and the metabolism-related gene set were obtained from The Cancer Genome Atlas (TCGA) and Molecular Signatures Database (MSigDB), respectively. The differentially expressed MRGs were identified by Wilcoxon rank sum test. Then, univariate cox regression analysis was performed to identify MRGs that related to overall survival (OS). A prognostic signature was developed by multivariate Cox regression analysis. Furthermore, the signature was validated in the GSE31210 dataset. In addition, a nomogram that combined the prognostic signature was created for predicting the 1-, 3- and 5-year OS of LUAD. The accuracy of the nomogram prediction was evaluated using a calibration plot. Finally, cox regression analysis was applied to identify the prognostic value and clinical relationship of the signature in LUAD. RESULTS: A total of 116 differentially expressed MRGs were detected in the TCGA dataset. We found that 12 MRGs were most significantly associated with OS by using the univariate regression analysis in LUAD. Then, multivariate Cox regression analyses were applied to construct the prognostic signature, which consisted of six MRGs-aldolase A (ALDOA), catalase (CAT), ec...