Gastrointestinal cancer is one of the most common malignant tumors in the world, and its incidence rate is always high. In recent years, research has shown that microorganisms may play a broad role in the diagnosis, pathogenesis, and treatment of cancer. In this study, samples were first classified according to the microbial expression data of Gastrointestinal cancer, followed by functional enrichment and Immunoassay. In order to better understand the role of intratumor microorganisms in the prognosis, we screened gene signatures and constructed risk model through univariate cox and lasso regression and multivariable cox, then screened microbial signatures using zero-inflated model regression model and constructed risk index (RI), and finally predicted the immunotherapeutic effect of the risk model. The results indicate that the composition of tumor microorganisms in the C3 subtype is closely related to tumor angiogenesis, and there is a significant difference in the proportion of innate and acquired immune cells between the C2 and C1 subtypes, as well as differences in the physiological functions of immune cells. There are significant differences in the expression of microbial signatures between high and low risk subtypes, with 9 microbial signatures upregulated in high risk subtypes and 15 microbial signatures upregulated in low risk subtypes. These microbial signatures were significantly correlated with the prognosis of patients. The results of immunotherapy indicate that immunotherapy for high-risk subtypes is more effective. Overall, we analyze from the perspective of microorganisms within tumors, pointing out new directions for the diagnosis and treatment of cancer.

中文翻译：

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多组学分析揭示胃肠癌瘤内微生物的调节模式和微生物特征。

胃肠癌是世界上最常见的恶性肿瘤之一，其发病率一直居高不下。近年来，研究表明微生物可能在癌症的诊断、发病机制和治疗中发挥广泛的作用。本研究首先根据胃肠癌微生物表达数据对样本进行分类，然后进行功能富集和免疫分析。为了更好地了解瘤内微生物在预后中的作用，我们通过单变量cox和lasso回归以及多变量cox筛选基因特征并构建风险模型，然后使用零膨胀模型回归模型筛选微生物特征并构建风险指数（RI） ，最终预测风险模型的免疫治疗效果。结果表明，C3亚型中肿瘤微生物的组成与肿瘤血管生成密切相关，C2和C1亚型之间先天性和获得性免疫细胞的比例存在显着差异，生理功能也存在差异。免疫细胞。高风险亚型和低风险亚型之间的微生物特征表达存在显着差异，高风险亚型中有 9 个微生物特征上调，低风险亚型中有 15 个微生物特征上调。这些微生物特征与患者的预后显着相关。免疫治疗的结果表明，针对高危亚型的免疫治疗更为有效。总体而言，我们从肿瘤内部微生物的角度进行分析，为癌症的诊断和治疗指出了新的方向。