Abstract：
UNASSIGNED: The composition of microbiota which correlates with infiltrating immune cells and clinical signatures is not clarified in CRC.
UNASSIGNED: We applied 4 kinds of bioinformatic tools GSVA (version: 1.42.0), ESTIMATE (version: 1.0.13), CIBERSORT (version: 2.0), and immune-related genes.
UNASSIGNED: We found that a total of 8 types of microbiotas appeared in the three immune correlation analyses. Among these microbiotas, significant enrichments in relative abundances associated with immune cell infiltration can be found for the dominant phyla Proteobacteria, Firmicutes, and Actinobacteria. Moreover, there existed correlations between some of the 8 microbiotas and clinical-related indicators.
UNASSIGNED: We identified some novel microbiotas involved in immune regulation in CRC.
UNASSIGNED: We applied 4 kinds of bioinformatic tools GSVA (version: 1.42.0), ESTIMATE (version: 1.0.13), CIBERSORT (version: 2.0), and immune-related genes.
UNASSIGNED: We found that a total of 8 types of microbiotas appeared in the three immune correlation analyses. Among these microbiotas, significant enrichments in relative abundances associated with immune cell infiltration can be found for the dominant phyla Proteobacteria, Firmicutes, and Actinobacteria. Moreover, there existed correlations between some of the 8 microbiotas and clinical-related indicators.
UNASSIGNED: We identified some novel microbiotas involved in immune regulation in CRC.
摘要：
与浸润性免疫细胞和临床特征相关的微生物群的组成在CRC中没有阐明。
■我们应用了4种生物信息学工具GSVA（版本：1.42.0），估计（版本：1.0.13），CIBERSORT（版本：2.0），和免疫相关基因。
■我们发现在三种免疫相关性分析中总共出现了8种类型的微生物。在这些微生物中，显著富集与免疫细胞浸润相关的相对丰度可以发现显性门变形杆菌，Firmicutes,和放线菌.此外，8种微生物与临床相关指标存在相关性.
■我们发现了一些新的微生物参与CRC的免疫调节。
■我们应用了4种生物信息学工具GSVA（版本：1.42.0），估计（版本：1.0.13），CIBERSORT（版本：2.0），和免疫相关基因。
■我们发现在三种免疫相关性分析中总共出现了8种类型的微生物。在这些微生物中，显著富集与免疫细胞浸润相关的相对丰度可以发现显性门变形杆菌，Firmicutes,和放线菌.此外，8种微生物与临床相关指标存在相关性.
■我们发现了一些新的微生物参与CRC的免疫调节。
