Fecal Short-Chain Fatty Acids Are Not Predictive of Colonic Tumor Status and Cannot Be Predicted Based on Bacterial Community Structure

• Published in: mBio Vol. 10; no. 4
• Main Authors: Sze, Marc A., Topçuoğlu, Begüm D., Lesniak, Nicholas A., Ruffin, Mack T., Schloss, Patrick D.
• Format: Journal Article
• Language: English
• Published: United States American Society for Microbiology 02.07.2019
• Subjects: 16S rRNA; Adenoma - diagnosis; Adenoma - pathology; Bacteria - classification; Bacteria - genetics; Carcinoma - diagnosis; Carcinoma - pathology; Clinical Decision Rules; colon cancer; Colonic Neoplasms - diagnosis; Colonic Neoplasms - pathology; Fatty Acids, Volatile - analysis; Feces - chemistry; Feces - microbiology; Gastrointestinal Microbiome; Host-Microbe Biology; Humans; machine learning; Metagenomics; microbial ecology; Observation; RNA, Ribosomal, 16S - genetics; SCFA; United States; United States; 16S rRNA; colon cancer; metagenomics; random forest; machine learning; microbial ecology; SCFA; microbiome

Considering that colorectal cancer is the third leading cancer-related cause of death within the United States, it is important to detect colorectal tumors early and to prevent the formation of tumors. Short-chain fatty acids (SCFAs) are often used as a surrogate for measuring gut health and for bei...