Wang An-Jun, Song Dingka, Hong Yue-Mei, Liu Ning-Ning
State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, 200025 Shanghai, China.
Mol Omics. 2023 May 9;19(4):283-296. doi: 10.1039/d2mo00288d.
Colorectal cancer (CRC) is a multifactorial heterogeneous disease largely due to both genetic predisposition and environmental factors including the gut microbiota, a dynamic microbial ecosystem inhabiting the gastrointestinal tract. Elucidation of the molecular mechanisms by which the gut microbiota interacts with the host may contribute to the pathogenesis, diagnosis, and promotion of CRC. However, deciphering the influence of genetic variants and interactions with the gut microbial ecosystem is rather challenging. Despite recent advancements in single omics analysis, the application of multi-omics approaches to integrate multiple layers of information in the microbiome and host to introduce effective prevention, diagnosis, and treatment strategies is still in its infancy. Here, we integrate host- and microbe-based multi-omics studies, respectively, to provide a strategy to explore potential causal relationships between gut microbiota and colorectal cancer. Specifically, we summarize the recent multi-omics studies such as metagenomics combined with metabolomics and metagenomics combined with genomics. Meanwhile, the sample size and sample types commonly used in multi-omics research, as well as the methods of data analysis, were also generalized. We highlight multiple layers of information from multi-omics that need to be verified by different types of models. Together, this review provides new insights into the clinical diagnosis and treatment of colorectal cancer patients.
结直肠癌(CRC)是一种多因素异质性疾病,很大程度上归因于遗传易感性和环境因素,包括肠道微生物群,这是一种栖息于胃肠道的动态微生物生态系统。阐明肠道微生物群与宿主相互作用的分子机制可能有助于结直肠癌的发病机制、诊断和防治。然而,解读基因变异及其与肠道微生物生态系统的相互作用颇具挑战性。尽管近期在单组学分析方面取得了进展,但应用多组学方法整合微生物组和宿主中的多层信息以引入有效的预防、诊断和治疗策略仍处于起步阶段。在此,我们分别整合基于宿主和微生物的多组学研究,以提供一种探索肠道微生物群与结直肠癌之间潜在因果关系的策略。具体而言,我们总结了近期的多组学研究,如宏基因组学与代谢组学相结合以及宏基因组学与基因组学相结合的研究。同时,还概括了多组学研究中常用的样本量和样本类型以及数据分析方法。我们强调多组学的多层信息需要通过不同类型的模型进行验证。总之,本综述为结直肠癌患者的临床诊断和治疗提供了新的见解。