Department of Colorectal Surgery, Fudan University Shanghai Cancer Center, Shanghai, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Nat Commun. 2021 Nov 19;12(1):6757. doi: 10.1038/s41467-021-27112-y.
The incidence of sporadic young-onset colorectal cancer (yCRC) is increasing. A significant knowledge gap exists in the gut microbiota and its diagnostic value for yCRC patients. Through 16S rRNA gene sequencing, 728 samples are collected to identify microbial markers, and an independent cohort of 310 samples is used to validate the results. Furthermore, species-level and functional analysis are performed by metagenome sequencing using 200 samples. Gut microbial diversity is increased in yCRC. Flavonifractor plautii is an important bacterial species in yCRC, while genus Streptococcus contains the key phylotype in the old-onset colorectal cancer. Functional analysis reveals that yCRC has unique characteristics of bacterial metabolism characterized by the dominance of DNA binding and RNA-dependent DNA biosynthetic process. The random forest classifier model achieves a powerful classification potential. This study highlights the potential of the gut microbiota biomarkers as a promising non-invasive tool for the accurate detection and distinction of individuals with yCRC.
散发性早发性结直肠癌（yCRC）的发病率正在增加。人们对肠道微生物群及其对 yCRC 患者的诊断价值存在重大知识差距。通过 16S rRNA 基因测序，收集了 728 个样本以识别微生物标志物，并使用独立的 310 个样本队列验证结果。此外，使用 200 个样本进行宏基因组测序进行种水平和功能分析。yCRC 中肠道微生物多样性增加。Flavonifractor plautii 是 yCRC 中的重要细菌物种，而链球菌属包含老年结直肠癌中的关键表型。功能分析表明，yCRC 具有独特的细菌代谢特征，其特征是 DNA 结合和 RNA 依赖的 DNA 生物合成过程占主导地位。随机森林分类器模型具有强大的分类潜力。这项研究强调了肠道微生物群生物标志物作为一种有前途的非侵入性工具，用于准确检测和区分 yCRC 个体的潜力。
