Systematic evaluation of supervised classifiers for fecal microbiota-based prediction of colorectal cancer.
Predicting colorectal cancer (CRC) based on fecal microbiota presents a promising method for non-invasive screening of CRC, but the optimization of classification models remains an unaddressed question. The purpose of this study was to systematically evaluate the effectiveness of different supervised machine-learning models in predicting CRC in two independent eastern and western populations. The structures of intestinal microflora in feces in Chinese population (N = 141) were determined by 454 FLX pyrosequencing, and different supervised classifiers were employed to predict CRC based on fecal microbiota operational taxonomic unit (OTUs). As a result, Bayes Net and Random Forest displayed higher accuracies than other algorithms in both populations, although Bayes Net was found with a lower false negative rate than that of Random Forest. Gut microbiota-based prediction was more accurate than the standard fecal occult blood test (FOBT), and the combination of both approaches further improved the prediction accuracy. Moreover, when unclassified OTUs were used as input, the BayesDMNB text algorithm achieved higher accuracy in the Chinese population (AUC=0.994). Taken together, our results suggest that Bayes Net classification model combined with unclassified OTUs may present an accurate method for predicting CRC based on the compositions of gut microbiota.
['Ai|Luoyan|L|', 'Tian|Haiying|H|', 'Chen|Zhaofei|Z|', 'Chen|Huimin|H|', 'Xu|Jie|J|', 'Fang|Jing-Yuan|JY|']
D000368:Aged D000465:Algorithms D001419:Bacteria D001431:Bacteriological Techniques D002681:China D015179:Colorectal Neoplasms D005243:Feces D005260:Female D005602:France D000069196:Gastrointestinal Microbiome D041981:Gastrointestinal Tract D006801:Humans D008297:Male D008875:Middle Aged D009780:Occult Blood D011237:Predictive Value of Tests D011379:Prognosis D015203:Reproducibility of Results D018570:Risk Assessment D012307:Risk Factors
supervised classifier prediction CRC gut microbiota