Multi-omics analysis reveals associations between gut microbiota and host transcriptome in colon cancer patients

作者：Yuling Qin, Qiang Wang, Qiumei Lin, Fengfei Liu, Xiaolan Pan, Caibiao Wei, Junxian Chen, Taijun Huang, Min Fang, Weilong Yang, Linghui Pan · 发表于：mSystems · 年份：2025 · DOI：10.1128/msystems.00805-24 · 被引用次数：12 · 研究领域：Gut microbiota and health、Clostridium difficile and Clostridium perfringens research、Probiotics and Fermented Foods

ABSTRACT Colon cancer (CC) is one of the most common cancers globally, which is associated with the gut microbiota intimately. In current research, exploring the complex interaction between microbiomes and CC is a hotspot. However, the information on microbiomes in most previous studies is based on fecal, which does not fully display the microbial environment of CC. Herein, we collected mucosal and tissue samples from both the tumor and normal regions of 19 CC patients and clarified the composition of mucosal microbiota by 16S rRNA and metagenomic sequencing. Additionally, RNA-Seq was also conducted to identify the different expression genes between tumor and normal tissue samples. We revealed significantly different microbial community structures and expression profiles to CC. Depending on correlation analysis, we demonstrated that 1,472 genes were significantly correlated with CC tumor microbiota. Our study reveals a significant enrichment of Campylobacter jejuni in the mucosa of CC, which correlates with bile secretion. Additionally, we observe a negative correlation between C. jejuni and immune cells CD4+ Tem and mast cells. Finally, we discovered that metabolic bacterial endosymbiont of Bathymodiolus sp., Bacillus wiedmannii , and Mycobacterium tuberculosis had a significant survival value for CC, which was ignored by previous research. Overall, our study expands the understanding of the complex interplay between microbiota and CC and provides new targets for the treatme...