Department of Gastroenterology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, China.
Department of Gastroenterology, Liuzhou Worker's Hospital, Liuzhou, China.
Int J Med Sci. 2021 Jan 1;18(3):685-694. doi: 10.7150/ijms.51918. eCollection 2021.
Tumor mutation burden (TMB) was correlated with the immunotherapeutic response in various malignancies. We aimed to evaluate the TMB immune signature in colon adenocarcinoma (COAD). Gene expression profile, mutation and clinical data of COAD patients were obtained from The Cancer Genome Atlas (TCGA) database. The samples were divided into high and low TMB level groups to identify differentially expressed genes (DEGs). Functional enrichments analyzes were performed to identify the biological functions of the DEGs. Then, immune cell infiltration signatures were calculated by the CIBERSORT algorithm. Finally, Cox proportional hazard model was constructed to estimate the prognostic value of the identified immune-related genes. Gene set enrichment analysis in the high-TMB level group showed that DEGS were enriched in immune-related pathways, such as antigen processing and presentation, Toll-like receptor signaling and natural killer cell-mediated cytotoxicity. A higher infiltration level of CD8+ T cells, CD4+ T cells, activated NK cells , M1 Macrophages and T follicular helper cells was observed in the high-TMB level group. Furthermore, a Cox regression model combined with survival analysis based on the expression level of four identified prognostic genes was constructed, validated anf revealed that higher risk-score levels conferred poor survival outcomes in COAD patients. Our data demonstrate that the high TMB levels are associated with an immune signature in COAD and deepen the molecular understanding of TMB function in tumor immunotherapy.
肿瘤突变负担 (TMB) 与多种恶性肿瘤的免疫治疗反应相关。我们旨在评估结肠腺癌 (COAD) 中的 TMB 免疫特征。从癌症基因组图谱 (TCGA) 数据库中获取 COAD 患者的基因表达谱、突变和临床数据。将样本分为高 TMB 水平组和低 TMB 水平组,以鉴定差异表达基因 (DEGs)。进行功能富集分析以确定 DEGs 的生物学功能。然后,通过 CIBERSORT 算法计算免疫细胞浸润特征。最后,构建 Cox 比例风险模型来估计鉴定的免疫相关基因的预后价值。高 TMB 水平组中的基因集富集分析表明,DEGs 富集在免疫相关途径中,如抗原加工和呈递、Toll 样受体信号和自然杀伤细胞介导的细胞毒性。在高 TMB 水平组中观察到 CD8+T 细胞、CD4+T 细胞、活化 NK 细胞、M1 巨噬细胞和滤泡辅助 T 细胞的浸润水平较高。此外,构建了基于四个鉴定的预后基因表达水平的 Cox 回归模型结合生存分析,并验证了高风险评分水平与 COAD 患者的不良生存结果相关。我们的数据表明,高 TMB 水平与 COAD 中的免疫特征相关,并加深了对 TMB 在肿瘤免疫治疗中功能的分子理解。