Related Experiment Video
Updated: Aug 5, 2026

Evaluation of Colorectal Cancer Risk and Prevalence by Stool DNA Integrity Detection
Published on: June 8, 2020
Gut microbiome biomarkers for colorectal cancer detection: a systematic review highlighting age as a key confounder
Pankaj Chejara1, Anders Eriksson2
1Metrosert AS, Tallinn, Estonia.
Abstract:
The gut microbiome is a promising source of non-invasive biomarkers for colorectal cancer (CRC), yet the diagnostic performance remains heterogeneous, and the identified key markers often have inconsistency across studies, potentially influenced by host-specific factors. To ascertain the performance obtained by gut-based biomarkers in the field and investigate the impact of host characteristics on it, we conducted a systematic review and meta-analysis. After a comprehensive literature search on PubMed and Science Direct in January 2025, 27 studies were included in the review. On average, the studies reported Area Under the Receiver-Operator Curve (AUROC) of .89 and .80 for differentiating CRC and adenoma cases, respectively. We found a negative relationship between sample size and reported AUROC, though not statistically significant but still suggesting potential overfitting effect due to small dataset size, possibly inflating detection performance. Meta-regression analyses identified age difference between cases and controls as a significant moderator of diagnostic performance (p = 0.009), wherein cohorts with a higher age difference demonstrated a higher AUROC; in contrast, the BMI (Body Mass Index) and female ratio of study populations did not exert a significant influence. Regarding specific CRC-associated biomarkers, notable consistency was observed across studies, with an enrichment of Fusobacterium nucleatum, Parvimonas micra, and Peptostreptococcus stomatis and a depletion of protective butyrate producers like Roseburia spp. and Faecalibacterium prausnitzii. These findings confirm the robust aggregate potential of gut microbiome-based biomarkers for CRC diagnosis while highlighting that host age is a critical confounder that must be integrated into future predictive models to improve generalizability and clinical translation.
Systematic Review Registration:
https://www.crd.york.ac.uk/PROSPERO/, identifier CRD42024621311.
More Related Videos
08:14A Method to Define the Effects of Environmental Enrichment on Colon Microbiome Biodiversity in a Mouse Colon Tumor Model
Published on: February 28, 2018
06:46Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
Related Concept Videos
Development of Human Microbiota
Anatomy of the Intestines
Small Intestines
The small intestine is an ~7 meter-long tube with an inner diameter of just 2.5 cm. Since most nutrients are absorbed here, the inner lining of the small...
Microbiota Modulation by Antibiotics
Dysbiosis of the Gut Microbiota
Serum Laboratory Studies, Stool Test, Breath Test
Introduction to the Human Microbiota