a Division of Clinical Epidemiology and Aging Research, German Cancer Research Centre (DKFZ) , Heidelberg , Germany.
b Heidelberg Medical Faculty, Heidelberg University , Heidelberg , Germany.
Gut Microbes. 2018 Jul 4;9(4):293-307. doi: 10.1080/19490976.2018.1445957. Epub 2018 May 15.
Colorectal cancer (CRC) is a leading cause of cancer morbidity and mortality. Dysbiosis in the gut microbiota may be associated with CRC. This systematic review focuses on differences in gut microbial community between people diagnosed with CRC or adenoma and healthy individuals using fecal samples, emphasizing non-invasive fecal microbiome models for CRC early diagnosis. Nineteen studies were identified in a systematic literature search of Pubmed, Web of Science and ScienceDirect. Several bacteria were reported to differ in abundance between CRC and adenoma cases and healthy controls, with Fusobacterium the most common. Fecal multi-bacterial predictive models used to distinguish CRC patients from healthy controls had reported areas under the receiver operating curve (AUCs) in external validation populations of 0.68-0.77. Though advanced sequencing techniques could in the future complement current non-invasive methods for CRC early detection, more studies with high statistical power, comparable and reproducible methods and external validation of predictive models are needed.
结直肠癌(CRC)是癌症发病率和死亡率的主要原因。肠道微生物群落失调可能与 CRC 有关。本系统综述重点关注使用粪便样本诊断为 CRC 或腺瘤的人群与健康个体之间肠道微生物群落的差异,强调用于 CRC 早期诊断的非侵入性粪便微生物组模型。通过对 Pubmed、Web of Science 和 ScienceDirect 的系统文献检索,确定了 19 项研究。据报道,CRC 和腺瘤病例与健康对照之间的几种细菌丰度存在差异,其中梭杆菌属最为常见。用于区分 CRC 患者和健康对照者的粪便多细菌预测模型在外部验证人群中的受试者工作特征曲线下面积(AUC)为 0.68-0.77。尽管先进的测序技术可能在未来能够补充 CRC 早期检测的当前非侵入性方法,但需要更多具有高统计能力、可比且可重复的方法以及预测模型外部验证的研究。