Construction of a prognostic model based on genes associated with mitochondrial energy metabolic pathway in colon adenocarcinoma and its clinical significance

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Xiangcheng Zhang, Ce Liang, Bingchuan Zhou, Liming Pang
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Abstract

Mitochondria are the main sites of oxidative metabolism and energy release of sugars, fats and amino acids in the body. According to studies, malignant tumor occurrence and development have been linked to abnormal mitochondrial energy metabolism (MEM). However, the feasible role of abnormal MEM in colon adenocarcinoma (COAD) is poorly understood. In this work, we obtained COAD patient data from The Cancer Genome Atlas (TCGA) as the training set, and GSE103479 from Gene Expression Omnibus (GEO) as the validation set. Combined with the mitochondrial energy metabolic pathway (MEMP)-related genes in Kyoto Encyclopedia of Genes and Genomes (KEGG) database, a risk prognostic model was constructed by utilizing Cox regression analysis to identify 6 feature genes (CYP4A11, PGM2, PKLR, PPARGC1A, CPT2 and ACAT2) that were significantly associated with MEMP in COAD. By stratifying the samples based on riskscore, two distinct groups, namely the high- and low-risk groups, were identified. The model demonstrated accurate assessment of the prognosis risk in COAD patients and exhibited independent prognostic capability, as evidenced by the survival curve and receiver operating characteristic (ROC) curve analysis. A nomogram was plotted based on clinical information and riskscore. We proved it could predict the survival time of COAD patients effectively combined with the calibration curve of risk prediction. Subsequently, based on the immune evaluation and mutation frequency analysis performed on COAD patients, patients in high-risk group had observably higher immune scores, immune activity and PDCD1 expression level than low-risk group. In general, the prognostic model developed using MEMP-related genes served as a valuable biomarker for forecasting the prognosis of COAD patients, which offered a reference for the prognosis evaluation and clinical cure of COAD patients.

基于线粒体能量代谢途径相关基因的结肠癌预后模型的构建及其临床意义。
线粒体是体内糖、脂肪和氨基酸氧化代谢和能量释放的主要部位。根据研究,恶性肿瘤的发生和发展与线粒体能量代谢异常有关。然而,异常MEM在结肠腺癌(COAD)中的可行作用尚不清楚。在这项工作中,我们从癌症基因组图谱(TCGA)获得COAD患者数据作为训练集,从基因表达综合(GEO)获得GSE103479患者数据作为验证集。结合京都基因与基因组百科全书(KEGG)数据库中的线粒体能量代谢途径(MEMP)相关基因,利用Cox回归分析构建了风险预后模型,以确定COAD中与MEMP显著相关的6个特征基因(CYP4A11、PGM2、PKLR、PPARGC1A、CPT2和ACAT2)。通过根据风险评分对样本进行分层,确定了两个不同的组,即高风险组和低风险组。该模型证明了对COAD患者预后风险的准确评估,并表现出独立的预后能力,生存曲线和受试者操作特征(ROC)曲线分析证明了这一点。根据临床信息和风险评分绘制列线图。我们证明,结合风险预测的校准曲线,它可以有效地预测COAD患者的生存时间。随后,根据对COAD患者进行的免疫评估和突变频率分析,高危组患者的免疫评分、免疫活性和PDCD1表达水平明显高于低危组。总之,使用MEMP相关基因开发的预后模型是预测COAD患者预后的有价值的生物标志物,为COAD患者的预后评估和临床治疗提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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