Wang Zhenling, Huang Changzhi, Wu Jingyu, Zhang Hongqiang, Shao Yu, Fu Zan
The First College of Clinical Medicine, Nanjing Medical University, Nanjing, China.
Department of General Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Front Genet. 2022 Aug 10;13:951461. doi: 10.3389/fgene.2022.951461. eCollection 2022.
Amino acid metabolization is verified to be a part in the progression of cancer. However, genes related to the amino acid metabolism have not been identified in colon adenocarcinoma (COAD). A systematic prognostic model of COAD becomes a pressing need. Among genes related to the amino acid metabolism, RIMKLB, ASPG, TH, MTAP, AZIN2, PSMB2, HDC, ACMSD, and PSMA8 were identified to construct a risk model. Kaplan-Meier (K-M) analyses demonstrated that the high-risk group achieved a poor prognosis. Area under the respective ROC (AUC) values indicated the robustness of the model. To highlight its clinical value, multivariate Cox was used to obtain the optimal variables to construct a nomogram. A higher tumor mutation burden was observed in the high-risk group. However, the low-risk group had a stronger immune infiltration. Seven molecular subtypes were found by consensus cluster. Twenty-two hub genes were identified related to the ESTIMATE score using WGCNA. In brief, our research constructed a stable prognostic model related to the amino acid metabolism in COAD, revealing its connection to the immune microenvironment. The model guided the outcome of COAD and the direction of immunotherapy.
氨基酸代谢被证实是癌症进展的一部分。然而,在结肠腺癌(COAD)中尚未鉴定出与氨基酸代谢相关的基因。构建一个系统的COAD预后模型迫在眉睫。在与氨基酸代谢相关的基因中,鉴定出RIMKLB、ASPG、TH、MTAP、AZIN2、PSMB2、HDC、ACMSD和PSMA8来构建风险模型。Kaplan-Meier(K-M)分析表明,高危组预后较差。各自的ROC曲线下面积(AUC)值表明了该模型的稳健性。为突出其临床价值,使用多变量Cox分析来获得构建列线图的最佳变量。在高危组中观察到较高的肿瘤突变负担。然而,低危组具有更强的免疫浸润。通过一致性聚类发现了七种分子亚型。使用WGCNA鉴定出22个与ESTIMATE评分相关的枢纽基因。简而言之,我们的研究构建了一个与COAD中氨基酸代谢相关的稳定预后模型,揭示了其与免疫微环境的联系。该模型指导了COAD的预后及免疫治疗方向。