Liang Lei, Kong Cheng, Li Jinming, Liu Guang, Wei Jinwang, Wang Guan, Wang Qinying, Yang Yongzhi, Shi Debing, Li Xinxiang, Ma Yanlei
Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Microbiome. 2024 Dec 28;12(1):274. doi: 10.1186/s40168-024-01987-7.
Studies have reported clinical heterogeneity between right-sided colon cancer (RCC) and left-sided colon cancer (LCC). However, none of these studies used multi-omics analysis combining genetic regulation, microbiota, and metabolites to explain the site-specific difference.
Here, 494 participants from a 16S rRNA gene sequencing cohort (50 RCC, 114 LCC, and 100 healthy controls) and a multi-omics cohort (63 RCC, 79 LCC, and 88 healthy controls) were analyzed. 16S rRNA gene, metagenomic sequencing, and metabolomics analyses of fecal samples were evaluated to identify tumor location-related bacteria and metabolites. Whole-exome sequencing (WES) and transcriptome sequencing (RNA-seq) were conducted to obtain the mutation burden and genomic expression pattern.
We found unique profiles of the intestinal microbiome, metabolome, and host genome between RCC and LCC. The bacteria Flavonifractor plautii (Fp) and Fusobacterium nucleatum, the metabolites L-phenylalanine, and the host genes PHLDA1 and WBP1 were the key omics features of RCC; whereas the bacteria Bacteroides sp. A1C1 (B.A1C1) and Parvimonas micra, the metabolites L-citrulline and D-ornithine, and the host genes TCF25 and HLA-DRB5 were considered the dominant omics features in LCC. Multi-omics correlation analysis indicated that RCC-enriched Fp was related to the accumulation of the metabolite L-phenylalanine and the suppressed WBP1 signal in RCC patients. In addition, LCC-enriched B.A1C1 was associated with the accumulation of the metabolites D-ornithine and L-citrulline as well as activation of the genes TCF25, HLA-DRB5, and AC079354.1.
Our findings identify previously unknown links between intestinal microbiota alterations, metabolites, and host genomics in RCC vs. LCC, suggesting that it may be possible to treat colorectal cancer (CRC) by targeting the gut microbiota-host interaction. Video Abstract.
研究报告了右侧结肠癌(RCC)和左侧结肠癌(LCC)之间的临床异质性。然而,这些研究均未使用结合基因调控、微生物群和代谢物的多组学分析来解释部位特异性差异。
本研究分析了来自16S rRNA基因测序队列(50例RCC、114例LCC和100例健康对照)和多组学队列(63例RCC、79例LCC和88例健康对照)的494名参与者。对粪便样本进行16S rRNA基因、宏基因组测序和代谢组学分析,以鉴定与肿瘤位置相关的细菌和代谢物。进行全外显子组测序(WES)和转录组测序(RNA-seq)以获得突变负荷和基因组表达模式。
我们发现RCC和LCC之间肠道微生物组、代谢组和宿主基因组具有独特特征。普拉氏黄酮分解菌(Fp)和具核梭杆菌、代谢物L-苯丙氨酸以及宿主基因PHLDA1和WBP1是RCC的关键组学特征;而拟杆菌属A1C1(B.A1C1)和微小消化链球菌、代谢物L-瓜氨酸和D-鸟氨酸以及宿主基因TCF25和HLA-DRB5被认为是LCC的主要组学特征。多组学相关性分析表明,RCC中富集的Fp与RCC患者中代谢物L-苯丙氨酸的积累和WBP信号的抑制有关。此外,LCC中富集的B.A1C1与代谢物D-鸟氨酸和L-瓜氨酸的积累以及基因TCF25、HLA-DRB5和AC079354.1的激活有关。
我们的研究结果确定了RCC与LCC中肠道微生物群改变、代谢物和宿主基因组学之间以前未知的联系,表明通过靶向肠道微生物群与宿主的相互作用来治疗结直肠癌(CRC)可能是可行的。视频摘要。