Department of Nuclear Medicine, Zigong First People's Hospital, Zigong, 643000, Sichuan, PR China.
Department of Gastrointestinal Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, PR China.
BMC Med Genomics. 2023 May 26;16(1):116. doi: 10.1186/s12920-023-01555-2.
Tumor mutation burden (TMB) level is identified as a useful predictor in multiple tumors including colon adenocarcinoma (COAD). However, the function of TMB related genes has not been explored previously. In this study, we obtained patients' expression and clinical data from The Cancer Genome Atlas (TCGA) and the National Center for Biotechnology Information (NCBI). TMB genes were screened and subjected to differential expression analysis. Univariate Cox and LASSO analyses were utilized to construct the prognostic signature. The efficiency of the signature was tested by using a receiver operating characteristic (ROC) curve. A nomogram was further plotted to assess the overall survival (OS) time of patients with COAD. In addition, we compared the predictive performance of our signature with other four published signatures. Functional analyses indicated that patients in the low-risk group have obviously different enrichment of tumor related pathways and tumor infiltrating immune cells from that of high-risk patients. Our findings suggested that the ten genes' prognostic signature could exert undeniable prognostic functions in patients with COAD, which might provide significant clues for the development of personalized management of these patients.
肿瘤突变负荷（TMB）水平被确定为包括结肠腺癌（COAD）在内的多种肿瘤的有用预测指标。然而，TMB 相关基因的功能以前尚未被探索过。在这项研究中，我们从癌症基因组图谱（TCGA）和国家生物技术信息中心（NCBI）获得了患者的表达和临床数据。筛选了 TMB 基因，并进行了差异表达分析。使用单变量 Cox 和 LASSO 分析构建了预后特征。使用接收者操作特征（ROC）曲线测试了该特征的效率。进一步绘制了列线图以评估 COAD 患者的总生存期（OS）。此外，我们将我们的特征与其他四个已发表的特征进行了预测性能比较。功能分析表明，低风险组的患者与高风险患者的肿瘤相关途径和肿瘤浸润免疫细胞的富集明显不同。我们的研究结果表明，这十个基因的预后特征可以在 COAD 患者中发挥不可忽视的预后作用，这可能为这些患者的个体化管理提供重要线索。
