Chen Kebing, Lin Zhizhong, Shen Yongshi, Lin Yijin, Chen Juhui, Eslick Guy D, Chen Yuanmei, Xu Yuanji, Xin Yong
The First Clinical Medical College, Xuzhou Medical University, Xuzhou, China.
Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
J Thorac Dis. 2024 Jun 30;16(6):3967-3989. doi: 10.21037/jtd-24-818. Epub 2024 Jun 28.
Esophageal squamous cell carcinoma (ESCC) has a poor early detection rate, prognosis, and survival rate. Effective prognostic markers are urgently needed to assist in the prediction of ESCC treatment outcomes. There is accumulating evidence of a strong relationship between cancer cell growth and amino acid metabolism. This study aims to determine the relationship between amino acid metabolism and ESCC prognosis.
This study comprehensively evaluates the association between amino acid metabolism-related gene (AAMRG) expression profiles and the prognosis of ESCC patients based on data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) databases. Real-time quantitative polymerase chain reaction (RT-qPCR) was used to verify the expression of prognosis-related genes.
A univariate Cox regression analysis of TCGA data identified 18 prognosis-related AAMRGs. The gene expression profiles of 90 ESCC tumor and normal tissues were obtained from the GSE20347 and GSE67269 datasets. Two differently expressed genes (DEGs) were considered as ESCC prognosis-related genes; and they were branched-chain amino acid transaminase 1 () and methylmalonic aciduria and homocystinuria type C protein (). These two AAMRGs were used to develop a novel AAMRG-related gene signature to predict 1- and 2-year prognostic risk in ESCC patients. Both and expression were verified by RT-qPCR. A prognostic nomogram that incorporated clinical factors and and gene expression was constructed, and the calibration plots showed that it had good prognostic performance.
The AAMRG signature established in our study is efficient and could be used in clinical settings to predict the early prognosis of ESCC patients.
食管鳞状细胞癌（ESCC）的早期检出率、预后及生存率均较差。迫切需要有效的预后标志物来辅助预测ESCC的治疗结果。越来越多的证据表明癌细胞生长与氨基酸代谢之间存在密切关系。本研究旨在确定氨基酸代谢与ESCC预后之间的关系。
本研究基于来自癌症基因组图谱（TCGA）和基因表达综合数据库（GEO）的数据，全面评估氨基酸代谢相关基因（AAMRG）表达谱与ESCC患者预后之间的关联。采用实时定量聚合酶链反应（RT-qPCR）验证预后相关基因的表达。
对TCGA数据进行单变量Cox回归分析，确定了18个与预后相关的AAMRG。从GSE20347和GSE67269数据集中获得了90例ESCC肿瘤组织和正常组织的基因表达谱。将两个差异表达基因（DEG）视为ESCC预后相关基因，它们分别是支链氨基酸转氨酶1（ ）和丙二酸尿症和同型胱氨酸尿症C型蛋白（ ）。利用这两个AAMRG构建了一种新的AAMRG相关基因特征，以预测ESCC患者1年和2年的预后风险。通过RT-qPCR验证了 和 的表达。构建了一个纳入临床因素以及 和 基因表达的预后列线图，校准图显示其具有良好的预后性能。
我们研究中建立的AAMRG特征是有效的，可用于临床预测ESCC患者的早期预后。
