RT Journal Article
SR Electronic
T1 Metagenomic analysis of faecal microbiome as a tool towards targeted non-invasive biomarkers for colorectal cancer
JF Gut
JO Gut
FD BMJ Publishing Group Ltd and British Society of Gastroenterology
SP 70
OP 78
DO 10.1136/gutjnl-2015-309800
VO 66
IS 1
A1 Yu, Jun
A1 Feng, Qiang
A1 Wong, Sunny Hei
A1 Zhang, Dongya
A1 Liang, Qiao yi
A1 Qin, Youwen
A1 Tang, Longqing
A1 Zhao, Hui
A1 Stenvang, Jan
A1 Li, Yanli
A1 Wang, Xiaokai
A1 Xu, Xiaoqiang
A1 Chen, Ning
A1 Wu, William Ka Kei
A1 Al-Aama, Jumana
A1 Nielsen, Hans Jørgen
A1 Kiilerich, Pia
A1 Jensen, Benjamin Anderschou Holbech
A1 Yau, Tung On
A1 Lan, Zhou
A1 Jia, Huijue
A1 Li, Junhua
A1 Xiao, Liang
A1 Lam, Thomas Yuen Tung
A1 Ng, Siew Chien
A1 Cheng, Alfred Sze-Lok
A1 Wong, Vincent Wai-Sun
A1 Chan, Francis Ka Leung
A1 Xu, Xun
A1 Yang, Huanming
A1 Madsen, Lise
A1 Datz, Christian
A1 Tilg, Herbert
A1 Wang, Jian
A1 Brünner, Nils
A1 Kristiansen, Karsten
A1 Arumugam, Manimozhiyan
A1 Sung, Joseph Jao-Yiu
A1 Wang, Jun
YR 2017
UL http://gut.bmj.com/content/66/1/70.abstract
AB Objective To evaluate the potential for diagnosing colorectal cancer (CRC) from faecal metagenomes.Design We performed metagenome-wide association studies on faecal samples from 74 patients with CRC and 54 controls from China, and validated the results in 16 patients and 24 controls from Denmark. We further validated the biomarkers in two published cohorts from France and Austria. Finally, we employed targeted quantitative PCR (qPCR) assays to evaluate diagnostic potential of selected biomarkers in an independent Chinese cohort of 47 patients and 109 controls.Results Besides confirming known associations of Fusobacterium nucleatum and Peptostreptococcus stomatis with CRC, we found significant associations with several species, including Parvimonas micra and Solobacterium moorei. We identified 20 microbial gene markers that differentiated CRC and control microbiomes, and validated 4 markers in the Danish cohort. In the French and Austrian cohorts, these four genes distinguished CRC metagenomes from controls with areas under the receiver-operating curve (AUC) of 0.72 and 0.77, respectively. qPCR measurements of two of these genes accurately classified patients with CRC in the independent Chinese cohort with AUC=0.84 and OR of 23. These genes were enriched in early-stage (I–II) patient microbiomes, highlighting the potential for using faecal metagenomic biomarkers for early diagnosis of CRC.Conclusions We present the first metagenomic profiling study of CRC faecal microbiomes to discover and validate microbial biomarkers in ethnically different cohorts, and to independently validate selected biomarkers using an affordable clinically relevant technology. Our study thus takes a step further towards affordable non-invasive early diagnostic biomarkers for CRC from faecal samples.