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Identification of microbial markers across populations in early detection of colorectal cancer

Medicine and Health

Identification of microbial markers across populations in early detection of colorectal cancer

Y. Wu, N. Jiao, et al.

This innovative research by Yuanqi Wu and colleagues explores the potential of specific microbial markers to revolutionize early colorectal cancer detection. Through an analysis of over a thousand fecal samples, they identified significant markers that could enhance diagnostic approaches, promising advancements in CRC treatment and prevention.

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Playback language: English
Abstract
This study performs an integrated analysis of 1056 public fecal samples to identify adenoma-associated microbial markers for early colorectal cancer (CRC) detection. Random Forest classifiers, built with 11 markers, discriminated adenoma from control (AUC = 0.80), and with 26 markers, adenoma from CRC (AUC = 0.89). Validation in two independent cohorts achieved AUCs of 0.78 and 0.84, respectively. Functional analysis revealed increased ADP-L-glycero-β-D-manno-heptose biosynthesis in adenoma and elevated menaquinone-10 biosynthesis in CRC, validated by qRT-PCR. This work establishes the validity of adenoma-specific markers across populations, aiding in early CRC diagnosis and treatment.
Publisher
Nature Communications
Published On
May 24, 2021
Authors
Yuanqi Wu, Na Jiao, Ruixin Zhu, Yida Zhang, Dingfeng Wu, An-Jun Wang, Sa Fang, Liwen Tao, Yichen Li, Sijing Cheng, Xiaosheng He, Ping Lan, Chuan Tian, Ning-Ning Liu, Lixin Zhu
Tags
colorectal cancer
adenoma
microbial markers
diagnosis
functional analysis
biosynthesis
Random Forest
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