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Intra-tumoral heterogeneity and immune responses predicts prognosis of gastric cancer

机译:肿瘤内的异质性和免疫反应预测胃癌的预后

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摘要

Chemotherapy resistance eventually develops in patients with gastric cancer (GC). Intra-tumoral heterogeneity (ITH) refers to the intercellular genetic variations and phenotypic diversity that affect responses to drug therapy. We measured ITH using mutant-allele tumor heterogeneity (MATH) derived from whole-exome sequencing data of patients with GC in The Cancer Genome Atlas (TCGA) database. The study included 385 patients from the TCGA database with available data regarding gastrectomy, survival, and whole-exome sequencing. Further analysis was performed in 171 GC patients with available data regarding adjuvant chemotherapy. Multiple factor analysis showed that MATH was an independent predictor of OS (hazard ratio [HR], 1.432; 95% confidence interval [CI], 1.073–1.913; P = 0.015) in patients with GC. Moreover, MATH was also an independent predictor of OS among the 171 GC patients who received adjuvant chemotherapy (HR, 2.016; 95% CI, 1.236–3.289; P = 0.005). Pathway enrichment and immune cell analyses revealed significantly higher infiltration by 20 types of immune cells in the low/intermediate group, compared to the group with high MATH scores. In conclusion, low/intermediate MATH scores predicted longer OS, when compared to those with high MATH scores. The immune response was obviously upregulated in patients with GC and low/intermediate MATH scores.
机译:胃癌(GC)患者最终发生化疗抗性。肿瘤内异质性(ITH)是指影响对药物治疗反应的细胞间遗传变异和表型多样性。我们使用衍生自癌症基因组(TCGA)数据库中GC患者的全外膜测序数据的突变等位基因肿瘤异质性(数学)测量。该研究包括来自TCGA数据库的385名患者,具有有关胃切除术,生存和全面测序的可用数据。进一步分析在171个GC患者中进行了有关佐剂化疗的可用数据。多因素分析表明,MATH是患者患者的OS的独立预测因子(危险比[HR],1.432; 95%置信区间[CI],1.073-1.913; p = 0.015)。此外,数学也是171个GC患者的OS的独立预测因子,接受佐剂化疗(HR,2.016; 95%CI,1.236-3.289; P = 0.005)。途径富集和免疫细胞分析显示,与具有高数学分数的组相比,在低/中间组中的20种类型的免疫细胞渗透显着更高。总之,与具有高数学分数的人相比,低/中间数学分数预测了较长的操作系统。 GC和低/中间数学评分明显上调免疫应答。

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