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Fecal Microbiota Characteristics of Patients with Colorectal Adenoma Detected by Screening: A Population-based Study

BACKGROUND: Screening for colorectal cancer (CRC) and precancerous colorectal adenoma (CRA) can detect curable disease. However, participation in colonoscopy and sensitivity of fecal heme for CRA are low. METHODS: Microbiota metrics were determined by Illumina sequencing of 16S rRNA genes amplified...

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Autores principales: Goedert, James J., Gong, Yangming, Hua, Xing, Zhong, Huanzi, He, Yimin, Peng, Peng, Yu, Guoqin, Wang, Wenjing, Ravel, Jacques, Shi, Jianxin, Zheng, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535156/
https://www.ncbi.nlm.nih.gov/pubmed/26288821
http://dx.doi.org/10.1016/j.ebiom.2015.04.010
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author Goedert, James J.
Gong, Yangming
Hua, Xing
Zhong, Huanzi
He, Yimin
Peng, Peng
Yu, Guoqin
Wang, Wenjing
Ravel, Jacques
Shi, Jianxin
Zheng, Ying
author_facet Goedert, James J.
Gong, Yangming
Hua, Xing
Zhong, Huanzi
He, Yimin
Peng, Peng
Yu, Guoqin
Wang, Wenjing
Ravel, Jacques
Shi, Jianxin
Zheng, Ying
author_sort Goedert, James J.
collection PubMed
description BACKGROUND: Screening for colorectal cancer (CRC) and precancerous colorectal adenoma (CRA) can detect curable disease. However, participation in colonoscopy and sensitivity of fecal heme for CRA are low. METHODS: Microbiota metrics were determined by Illumina sequencing of 16S rRNA genes amplified from DNA extracted from feces self-collected in RNAlater. Among fecal immunochemical test-positive (FIT +) participants, colonoscopically-defined normal versus CRA patients were compared by regression, permutation, and random forest plus leave-one-out methods. FINDINGS: Of 95 FIT + participants, 61 had successful fecal microbiota profiling and colonoscopy, identifying 24 completely normal patients, 20 CRA patients, 2 CRC patients, and 15 with other conditions. Phylum-level fecal community composition differed significantly between CRA and normal patients (permutation P = 0.02). Rank phylum-level abundance distinguished CRA from normal patients (area under the curve = 0.767, permutation P = 0.006). CRA prevalence was 59% in phylum-level cluster B versus 20% in cluster A (exact P = 0.01). Most of the difference reflected 3-fold higher median relative abundance of Proteobacteria taxa (Wilcoxon signed-rank P = 0.03, positive predictive value = 67%). Antibiotic exposure and other potential confounders did not affect the associations. INTERPRETATION: If confirmed in larger, more diverse populations, fecal microbiota analysis might be employed to improve screening for CRA and ultimately to reduce mortality from CRC.
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spelling pubmed-45351562015-08-18 Fecal Microbiota Characteristics of Patients with Colorectal Adenoma Detected by Screening: A Population-based Study Goedert, James J. Gong, Yangming Hua, Xing Zhong, Huanzi He, Yimin Peng, Peng Yu, Guoqin Wang, Wenjing Ravel, Jacques Shi, Jianxin Zheng, Ying EBioMedicine Original Article BACKGROUND: Screening for colorectal cancer (CRC) and precancerous colorectal adenoma (CRA) can detect curable disease. However, participation in colonoscopy and sensitivity of fecal heme for CRA are low. METHODS: Microbiota metrics were determined by Illumina sequencing of 16S rRNA genes amplified from DNA extracted from feces self-collected in RNAlater. Among fecal immunochemical test-positive (FIT +) participants, colonoscopically-defined normal versus CRA patients were compared by regression, permutation, and random forest plus leave-one-out methods. FINDINGS: Of 95 FIT + participants, 61 had successful fecal microbiota profiling and colonoscopy, identifying 24 completely normal patients, 20 CRA patients, 2 CRC patients, and 15 with other conditions. Phylum-level fecal community composition differed significantly between CRA and normal patients (permutation P = 0.02). Rank phylum-level abundance distinguished CRA from normal patients (area under the curve = 0.767, permutation P = 0.006). CRA prevalence was 59% in phylum-level cluster B versus 20% in cluster A (exact P = 0.01). Most of the difference reflected 3-fold higher median relative abundance of Proteobacteria taxa (Wilcoxon signed-rank P = 0.03, positive predictive value = 67%). Antibiotic exposure and other potential confounders did not affect the associations. INTERPRETATION: If confirmed in larger, more diverse populations, fecal microbiota analysis might be employed to improve screening for CRA and ultimately to reduce mortality from CRC. Elsevier 2015-04-18 /pmc/articles/PMC4535156/ /pubmed/26288821 http://dx.doi.org/10.1016/j.ebiom.2015.04.010 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Goedert, James J.
Gong, Yangming
Hua, Xing
Zhong, Huanzi
He, Yimin
Peng, Peng
Yu, Guoqin
Wang, Wenjing
Ravel, Jacques
Shi, Jianxin
Zheng, Ying
Fecal Microbiota Characteristics of Patients with Colorectal Adenoma Detected by Screening: A Population-based Study
title Fecal Microbiota Characteristics of Patients with Colorectal Adenoma Detected by Screening: A Population-based Study
title_full Fecal Microbiota Characteristics of Patients with Colorectal Adenoma Detected by Screening: A Population-based Study
title_fullStr Fecal Microbiota Characteristics of Patients with Colorectal Adenoma Detected by Screening: A Population-based Study
title_full_unstemmed Fecal Microbiota Characteristics of Patients with Colorectal Adenoma Detected by Screening: A Population-based Study
title_short Fecal Microbiota Characteristics of Patients with Colorectal Adenoma Detected by Screening: A Population-based Study
title_sort fecal microbiota characteristics of patients with colorectal adenoma detected by screening: a population-based study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4535156/
https://www.ncbi.nlm.nih.gov/pubmed/26288821
http://dx.doi.org/10.1016/j.ebiom.2015.04.010
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