Zhao Lan, Cho William C, Nicolls Mark R
Department of Medicine, Stanford University School of Medicine, Stanford, CA, United States.
VA Palo Alto Health Care System, Palo Alto, CA, United States.
Front Genet. 2021 Dec 22;12:787176. doi: 10.3389/fgene.2021.787176. eCollection 2021.
The gut microbiome is dynamic and shaped by diet, age, geography, and environment. The disruption of normal gut microbiota (dysbiosis) is closely related to colorectal cancer (CRC) risk and progression. To better identify and characterize CRC-associated dysbiosis, we collected six independent cohorts with matched normal pairs (when available) for comparison and exploration of the microbiota and their interactions with the host. Comparing the microbial community compositions between cancerous and adjacent noncancerous tissues, we found that more microbes were depleted than enriched in tumors. Despite taxonomic variations among cohorts, consistent depletion of normal microbiota (members of and ) and significant enrichment of oral-originated pathogens (such as and ) observed in CRC compared to normal tissues. Sets of hub and hub-connecting microbes were subsequently identified to infer microbe-microbe interaction networks in CRC. Furthermore, biclustering was used for identifying coherent patterns between patients and microbes. Two patient-microbe interaction patterns, named P0 and P1, can be consistently identified among the investigated six CRC cohorts. Characterization of the microbial community composition of the two patterns revealed that patients in P0 and P1 differed significantly in microbial alpha and beta diversity, and CRC-associated microbiota changes consist of continuous populations of widespread taxa rather than discrete enterotypes. In contrast to the P0, the patients in P1 have reduced microbial alpha diversity compared to the adjacent normal tissues, and P1 possesses more oral-related pathogens than P0 and controls. Collectively, our study investigated the CRC-associated microbiome changes, and identified reproducible microbial signatures across multiple independent cohorts. More importantly, we revealed that the CRC heterogeneity can be partially attributed to the variety and compositional differences of microbes and their interactions to humans.
肠道微生物群是动态的,受饮食、年龄、地理位置和环境的影响。正常肠道微生物群的破坏(生态失调)与结直肠癌(CRC)的风险和进展密切相关。为了更好地识别和表征与CRC相关的生态失调,我们收集了六个独立队列,并在有匹配正常对照(如有)的情况下进行比较,以探索微生物群及其与宿主的相互作用。通过比较癌组织和相邻非癌组织之间的微生物群落组成,我们发现肿瘤中微生物减少的比增加的更多。尽管各队列之间存在分类学差异,但与正常组织相比,CRC中仍观察到正常微生物群(如 和 的成员)持续减少,以及口腔来源病原体(如 和 )显著富集。随后确定了一组核心微生物和核心连接微生物,以推断CRC中的微生物-微生物相互作用网络。此外,双聚类用于识别患者和微生物之间的连贯模式。在六个研究的CRC队列中,可以一致地识别出两种患者-微生物相互作用模式,命名为P0和P1。对这两种模式的微生物群落组成特征分析表明,P0和P1中的患者在微生物α和β多样性方面存在显著差异,与CRC相关的微生物群变化由广泛分类群的连续群体组成,而不是离散的肠型。与P0相比,P1中的患者与相邻正常组织相比微生物α多样性降低,且P1比P0和对照组拥有更多与口腔相关的病原体。总体而言,我们的研究调查了与CRC相关的微生物组变化,并在多个独立队列中确定了可重复的微生物特征。更重要的是,我们揭示了CRC的异质性部分可归因于微生物的种类和组成差异及其与人类的相互作用。