Significance of Tumor Mutation Burden Combined With Immune Infiltrates in the Progression and Prognosis of Advanced Gastric Cancer

被引:24
作者
Guo, Xiong [1 ]
Liang, Xiaolong [1 ]
Wang, Yujun [2 ]
Cheng, Anqi [1 ]
Zhang, Han [3 ]
Qin, Chuan [1 ,4 ]
Wang, Ziwei [1 ]
机构
[1] Chongqing Med Univ, Affiliated Hosp 1, Dept Gastrointestinal Surg, Chongqing, Peoples R China
[2] Army Mil Med Univ, Daping Hosp, Dept Pathol, Chongqing, Peoples R China
[3] Chongqing Univ, Three Gorges Hosp, Dept Digest Oncol, Chongqing, Peoples R China
[4] Chongqing Univ, Three Gorges Hosp, Dept Gastrointestinal Surg, Chongqing, Peoples R China
基金
中国国家自然科学基金;
关键词
advanced gastric cancer; tumor mutation burden; immune infiltration; prognosis; bioinformatics analysis; DISEASE; GENES; TP53;
D O I
10.3389/fgene.2021.642608
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Gastric cancer (GC) is a serious malignant tumor with high mortality and poor prognosis. The prognosis and survival are much worse for advanced gastric cancer (AGC). Recently, immunotherapy has been widely promoted for AGC patients, and studies have shown that tumor mutation burden (TMB) is closely related to immunotherapy response. Here, RNA-seq data, matched clinical information, and MAF files were downloaded from the cancer genome atlas (TCGA)-STAD project in the TCGA database. The collation and visual analysis of mutation data were implemented by the "maftools" package in R. We calculated the TMB values for AGC patients and divided the patients into high- and low-TMB groups according to the median value of TMB. Then, the correlation between high or low TMB and clinicopathological parameters was calculated. Next, we examined the differences in gene expression patterns between the two groups by using the "limma" R package and identified the immune-related genes among the DEGs. Through univariate Cox regression analysis, 15 genes related to prognosis were obtained. Furthermore, the two hub genes (APOD and SLC22A17) were used to construct a risk model to evaluate the prognosis of AGC patients. ROC and survival curves and GEO data were used as a validation set to verify the reliability of this risk model. In addition, the correlation between TMB and tumor-infiltrating immune cells was examined. In conclusion, our results suggest that AGC patients with high TMB have a better prognosis. By testing the patient's TMB, we could better guide immunotherapy and understand patient response to immunotherapy.
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收藏
页数:14
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