Multi-omic profiling reveals associations between the gut microbiome, host genome and transcriptome in patients with colorectal cancer

核梭杆菌 转录组 克拉斯 小桶 生物 结直肠癌 微生物群 肠道菌群 基因组 组学 疾病 基因表达谱 基因 癌症 计算生物学 生物信息学 遗传学 医学 基因表达 免疫学 内科学 细菌 牙龈卟啉单胞菌
作者
Shaomin Zou,Chao Yang,Jieping Zhang,Dan Zhong,Manqi Meng,Lu Zhang,Honglei Chen,Lekun Fang
出处
期刊:Journal of Translational Medicine [Springer Nature]
卷期号:22 (1) 被引量:7
标识
DOI:10.1186/s12967-024-04984-4
摘要

Abstract Background Colorectal cancer (CRC) is the leading cancer worldwide. Microbial agents have been considered to contribute to the pathogenesis of different disease. But the underlying relevance between CRC and microbiota remain unclear. Methods We dissected the fecal microbiome structure and genomic and transcriptomic profiles of matched tumor and normal mucosa tissues from 41 CRC patients. Of which, the relationship between CRC-associated bacterial taxa and their significantly correlated somatic mutated gene was investigated by exome sequencing technology. Differentially expressed functional genes in CRC were clustered according to their correlation with differentially abundant species, following by annotation with DAVID. The composition of immune and stromal cell types was identified by XCELL. Results We identified a set of 22 microbial gut species associated with CRC and estimate the relative abundance of KEGG ontology categories. Next, the interactions between CRC-related gut microbes and clinical phenotypes were evaluated. 4 significantly mutated gene: TP53, APC, KRAS, SMAD4 were pointed out and the associations with cancer related microbes were identified. Among them, Fusobacterium nucleatum positively corelated with different host metabolic pathways. Finally, we revealed that Fusobacterium nucleatum modified the tumor immune environment by TNFSF9 gene expression. Conclusion Collectively, our multi-omics data could help identify novel biomarkers to inform clinical decision-making in the detection and diagnosis of CRC.
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