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Deficient Pms2, ERCC1, Ku86, CcOI in Field Defects During Progression to Colon Cancer

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Colonic Microbial Abundances Predict Adenoma Formers.

Katherine M Watson¹, Ivy H Gardner¹, Sudarshan Anand²

¹Department of Surgery, Oregon Health & Science University, Portland, OR.

Annals of Surgery

|February 7, 2022

Summary

The study found that the microbiome on the colon

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Area of Science:

Microbiome research
Colorectal cancer prevention
Molecular diagnostics

Background:

Limited data exists on the relationship between microbiota and preneoplastic colorectal lesions.
Understanding these associations is crucial for early detection and prevention strategies.

Purpose of the Study:

To investigate the link between oral, fecal, and mucosal microbiome communities and the formation of colorectal adenomas.
To identify microbial signatures predictive of adenoma development.

Main Methods:

Prospective enrollment of individuals undergoing screening colonoscopy.
Collection of oral, fecal, and mucosal samples, along with clinical and dietary data.
16S rRNA gene sequencing, bioinformatics analysis, and machine learning for microbial community profiling and prediction.

Main Results:

Mucosal communities showed significantly higher microbial diversity compared to oral and fecal samples.
A machine learning classifier using mucosal microbiome data accurately predicted adenoma formation (AUC=0.993, OOB error=3.2%).
Fecal and oral microbiome classifiers demonstrated poor diagnostic ability.

Conclusions:

Unique patterns of microbial diversity in the normal colonic mucosa of adenoma formers may predict adenoma formation.
The mucosal microbiome holds significant potential for non-invasive adenoma detection.