Zhu Yubing, Ma Ling, Wei Wenting, Li Xiang, Chang Yuxiao, Pan Zhiyuan, Gao Hong, Yang Ruifu, Bi Yujing, Ding Lei
Department of Colorectal Surgery and Department of General Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing, PR China.
State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, PR China.
J Med Microbiol. 2022 Apr;71(4). doi: 10.1099/jmm.0.001523.
Colorectal cancer (CRC) is one of the most common cancers worldwide. Multiple risk factors are involved in CRC development, including age, genetics, lifestyle, diet and environment. Of these, the role of the gut microbiota in cancer biology is increasingly recognized. Micro-organisms have been widely detected in stool samples, but few mucosal samples have been detected and sequenced in depth. Analysis of cultured mucosal bacteria from colorectal cancer and adjacent normal mucosal tissues with metagenomics sequencing. Twenty-eight paired tumour and non-tumour tissues from 14 patients undergoing surgery for CRC were analysed. We removed the influence of eukaryotic cells via culture. The composition of mucosal microbiota in intestinal mucosa were detected and analysed with metagenomic sequencing. Compared with non-cultured mucosal sample, 80 % bacteria species could be detected after culture. Moreover, after culture, additional 30 % bacteria could be detected, compared with non-cultured samples. Since after culture it was difficult to estimate the original abundance of microbiome, we focused on the identification of the CRC tissue-specific species. There were 298 bacterial species, which could only be cultured and detected in CRC tissues. and could be isolated from all the tumour samples of 14 CRC patients, suggesting that these species may be related to tumour occurrence and development. Further functional analysis indicated that bacteria from CRC tissues showed more active functions, including basic metabolism, signal transduction and survival activities. We used a new method based on culture to implement information on prokaryotic taxa, and related functions, which samples were from colorectal tissues. This method is suitable for removing eukaryotic contamination and detecting micro-organisms from other tissues.
结直肠癌(CRC)是全球最常见的癌症之一。CRC的发生涉及多种风险因素,包括年龄、遗传、生活方式、饮食和环境。其中,肠道微生物群在癌症生物学中的作用越来越受到认可。微生物已在粪便样本中被广泛检测到,但很少有黏膜样本被深入检测和测序。采用宏基因组测序分析来自结直肠癌及相邻正常黏膜组织的培养黏膜细菌。对14例接受CRC手术患者的28对肿瘤和非肿瘤组织进行了分析。我们通过培养去除了真核细胞的影响。采用宏基因组测序检测和分析肠黏膜中黏膜微生物群的组成。与未培养的黏膜样本相比,培养后可检测到80%的细菌种类。此外,与未培养样本相比,培养后还可检测到另外30%的细菌。由于培养后难以估计微生物组的原始丰度,我们专注于CRC组织特异性物种的鉴定。有298种细菌仅能在CRC组织中培养和检测到,并且可从14例CRC患者的所有肿瘤样本中分离出来,这表明这些物种可能与肿瘤的发生和发展有关。进一步的功能分析表明,来自CRC组织的细菌表现出更活跃的功能,包括基本代谢、信号转导和生存活动。我们使用了一种基于培养的新方法来获取来自结直肠组织样本的原核生物分类群及相关功能的信息。该方法适用于去除真核污染并检测来自其他组织的微生物。