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Related Experiment Video

Updated: Jul 10, 2026

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

Following Ariadne's thread through microbiome-based biomarker discovery in CRC.

Jason Xing Kang¹, Sunny Hei Wong²

¹Centre for Microbiome Medicine, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore.

Cell Host & Microbe

|July 8, 2026

Summary

Colorectal cancer (CRC) has a universal microbial signature across diverse populations. However, microbial biomarkers detected in stool samples do not always accurately reflect the tumor

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Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer

Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer

Published on: March 14, 2019

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Last Updated: Jul 10, 2026

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer

Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer

Published on: March 14, 2019

Area of Science:

Microbiome research
Cancer genomics
Molecular epidemiology

Background:

Colorectal cancer (CRC) exhibits a distinct microbial fingerprint.
Understanding the generalizability of this fingerprint across diverse populations and methodologies is crucial for biomarker development.

Purpose of the Study:

To investigate the universality of the CRC microbial signal across different age groups, geographical locations, and DNA sequencing platforms.
To assess the reliability of stool-based microbial biomarkers in representing the tumor microbiome.

Main Methods:

Analysis of large-scale stool and tumor microbiome data.
Comparative analysis across various demographic factors and sequencing technologies.

Main Results:

Identification of a universal microbial signal associated with colorectal cancer.
Demonstration of limitations in stool-based biomarkers for accurately capturing the tumor microbiome composition.

Conclusions:

A conserved microbial signature exists in colorectal cancer, irrespective of age, geography, or sequencing platform.
Stool microbiome analysis alone may not be sufficient for comprehensive colorectal cancer detection or characterization due to discrepancies with tumor microbiome profiles.