结直肠癌患者结直肠不同解剖位置及不同组织类型的组织微生物群特征

IF 5 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-05-27 DOI:10.1128/msystems.00198-25
Lei Liu, Jianguo Shi, Hui Wang, Hansong Du, Jia Yang, Kai Wei, Zhuohui Zhou, Moli Li, Shuai Huang, Lifang Zhan, Guolong Li, Yongling Lv, Hexiao Shen, Wei Cai
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引用次数: 0

摘要

肠道菌群与结直肠癌(CRC)的发生和发展有着复杂的关系,因此人们对开发利用肠道菌群的预防和治疗策略非常感兴趣。在本研究中,我们收集了19例结直肠癌患者的57份样本,包括癌组织、癌旁组织和正常粘膜。利用宏基因组测序和生物信息学分析,我们确定了不同组织类型中微生物组及其功能特征的差异。结果表明,正常组织中以腐臭阿里氏菌为主,癌旁组织中以恶臭假单胞菌为主,癌旁组织中以限制马拉色菌为主。此外,微生物功能在不同的组织类型中表现出差异性。随机森林分析提示oslosmoraxella可能与结直肠癌的发生和发展有关。我们还根据结直肠的解剖位置将患者分为三个亚组:右侧结肠、左侧结肠和直肠。亚群分析显示,正常粘膜和癌旁组织中富集的微生物群在不同解剖部位存在差异。这些发现不仅阐明了CRC患者正常黏膜、癌旁组织和癌组织中微生物组的特征,从而为临床诊断和治疗提供了新的潜在靶点,也为CRC研究相关的现有微生物组数据做出了贡献。本研究通过分析结直肠癌患者不同组织类型和解剖位置的微生物群落,为肠道微生物群与结直肠癌(CRC)之间的关系提供了重要的见解。我们发现了不同的微生物特征,如正常组织中的腐肉杆菌和癌组织中的限制马拉色菌,表明具有独特功能属性的位置特异性微生物群。这些发现提示了结直肠癌潜在的新生物标志物或治疗靶点。在右侧结肠癌、左侧结肠癌和直肠癌中观察到的微生物群变化强调了结直肠癌的异质性,指出了更个性化的治疗策略。通过加强我们对微生物组在结直肠癌中的作用的理解,本研究为创新诊断工具和针对个体患者的靶向治疗铺平了道路。这项工作对于推进CRC管理的临床方法至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The characteristics of tissue microbiota in different anatomical locations and different tissue types of the colorectum in patients with colorectal cancer.

The gut microbiota is intricately associated with the onset and progression of colorectal cancer (CRC), leading to significant interest in developing prevention and treatment strategies that leverage gut microbiota. In this study, we collected 57 samples from 19 CRC patients, comprising cancerous tissue, paracancerous tissue, and normal mucosa. Utilizing metagenomic sequencing and bioinformatics analysis, we identified differences in the microbiomes and their functional characteristics across the various tissue types. The results indicated that species such as Alistipes putredinis were predominantly found in normal tissues, while Pseudomonas putida was enriched in paracancerous tissue, and Malassezia restricta was prevalent in cancerous tissues. Furthermore, the microbial functions exhibited variability among the different tissue types. Random forest analysis suggested that Moraxella osloensis may be implicated in the onset and progression of colorectal cancer. We also classified the patients into three subgroups based on the anatomical location of the colorectum: right-sided colon, left-sided colon, and rectum. The subgroup analysis revealed that the microbiota enriched in normal mucosa and paracancerous tissue varied across different anatomical sites. These findings not only elucidate the characteristics of the microbiomes in the normal mucosa, paracancerous tissue, and cancerous tissues of CRC patients, thereby providing new potential targets for clinical diagnosis and treatment, but also contribute to the existing microbiome data pertinent to CRC research.IMPORTANCEThis study provides crucial insights into the relationship between gut microbiota and colorectal cancer (CRC) by analyzing microbial communities in different tissue types and anatomical locations of CRC patients. We identified distinct microbial signatures, such as Alistipes putredinis in normal tissues and Malassezia restricta in cancerous tissues, indicating location-specific microbiomes with unique functional attributes. These findings suggest potential new biomarkers or therapeutic targets for CRC. The observed microbiota variations among right-sided colon, left-sided colon, and rectum cancers underscore the heterogeneity of CRC, pointing toward more personalized treatment strategies. By enhancing our understanding of the microbiome's role in CRC, this research paves the way for innovative diagnostic tools and targeted therapies tailored to individual patient profiles. This work is essential for advancing clinical approaches to CRC management.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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