title: The human gut microbiome as a screening tool for colorectal cancer.
abstract: Recent studies have suggested that the gut microbiome may be an important factor in the development of colorectal cancer. Abnormalities in the gut microbiome have been reported in patients with colorectal cancer; however, this microbial community has not been explored as a potential screen for early-stage disease. We characterized the gut microbiome in patients from three clinical groups representing the stages of colorectal cancer development: healthy, adenoma, and carcinoma. Analysis of the gut microbiome from stool samples revealed both an enrichment and depletion of several bacterial populations associated with adenomas and carcinomas. Combined with known clinical risk factors of colorectal cancer (e.g., BMI, age, race), data from the gut microbiome significantly improved the ability to differentiate between healthy, adenoma, and carcinoma clinical groups relative to risk factors alone. Using Bayesian methods, we determined that using gut microbiome data as a screening tool improved the pretest to posttest probability of adenoma more than 50-fold. For example, the pretest probability in a 65-year-old was 0.17% and, after using the microbiome data, this increased to 10.67% (1 in 9 chance of having an adenoma). Taken together, the results of our study demonstrate the feasibility of using the composition of the gut microbiome to detect the presence of precancerous and cancerous lesions. Furthermore, these results support the need for more cross-sectional studies with diverse populations and linkage to other stool markers, dietary data, and personal health information.
authors.affiliation: Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan.
authors.forename: Joseph P
authors.initials: JP
authors.lastname: Zackular
authors.affiliation: Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
authors.forename: Mary A M
authors.initials: MA
authors.lastname: Rogers
authors.affiliation: Department of Family Medicine, University of Michigan, Ann Arbor, Michigan.
authors.forename: Mack T
authors.initials: MT
authors.lastname: Ruffin
authors.affiliation: Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan. pschloss@umich.edu.
authors.forename: Patrick D
authors.initials: PD
authors.lastname: Schloss
mesh_terms: D000236:Adenoma; D000368:Aged; D019540:Area Under Curve; D001499:Bayes Theorem; D015415:Biomarkers / Q000378:metabolism; D002277:Carcinoma; D015179:Colorectal Neoplasms / Q000175:diagnosis / Q000382:microbiology*; D055088:Early Detection of Cancer / Q000379:methods*; D005243:Feces / Q000382:microbiology; D005260:Female; D006801:Humans; D007422:Intestines / Q000382:microbiology*; D008297:Male; D064307:Microbiota; D008875:Middle Aged; D009780:Occult Blood; D011237:Predictive Value of Tests; D011336:Probability; D012336:RNA, Ribosomal, 16S / Q000378:metabolism; D012307:Risk Factors
chemical_list: D015415:Biomarkers; D012336:RNA, Ribosomal, 16S
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