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Exploration of the relationship between tumor mutation burden and immune infiltrates in colon adenocarcinoma

机译:肿瘤突变负担与免疫浸润在结肠癌腺癌之间关系的探讨

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Background: 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). Methods: 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. Results: 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. Conclusions: 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.? The author(s).
机译:背景:肿瘤突变负担(TMB)与各种恶性肿瘤中的免疫治疗反应相关。我们旨在评估结肠腺癌(Coad)中的TMB免疫签名。方法:从癌症基因组Atlas(TCGA)数据库中获得Coad患者的基因表达谱,突变和临床数据。将样品分为高和低TMB水平组以鉴定差异表达的基因(DEGS)。进行功能性富集分析以确定DEG的生物学功能。然后,通过Cibersort算法计算免疫细胞浸润签名。最后,构建了Cox比例危害模型以估计鉴定的免疫相关基因的预后值。结果:高TMB水平组的基因设定富集分析显示,富含免疫相关途径,例如抗原加工和呈现,易于受体信号传导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,活化的NK细胞,M1巨噬细胞和T卵泡辅助细胞的渗透水平。此外,构建了基于四所鉴定的预后基因的表达水平的COX回归模型与生存分析进行了构建,验证的ANF显示较高的风险评分水平在Coad患者中赋予了较差的存活结果。结论:我们的数据表明,高TMB水平与Coad中的免疫签名相关,并加深了肿瘤免疫疗法中TMB功能的分子理解。作者。

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