Volume 157, Issue 3, Pages e3 (September 2019)

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Volume 157, Issue 3, Pages 884-887.e3 (September 2019) Noninvasive Detection of High-Risk Adenomas Using Stool-Derived Eukaryotic RNA Sequences as Biomarkers  Erica K. Barnell, Yiming Kang, Elizabeth M. Wurtzler, Malachi Griffith, Aadel A. Chaudhuri, Obi L. Griffith Andrew R. Barnell, Katie M. Campbell, Kimberly R. Kruse, Dave Messina, Ira Kodner, Mark Manary, Phil Needleman Erica K. Barnell, Yiming Kang, Elizabeth M. Wurtzler, Malachi Griffith, Aadel A. Chaudhuri, Obi L. Griffith Andrew R. Barnell, Katie M. Campbell, Kimberly R. Kruse, Dave Messina, Ira Kodner, Mark Manary, Phil Needleman  Gastroenterology  Volume 157, Issue 3, Pages 884-887.e3 (September 2019) DOI: 10.1053/j.gastro.2019.05.058 Copyright © 2019 AGA Institute Terms and Conditions

Figure 1 Eligible feature selection using bootstrapping of the training set (n = 154 samples) and model performance for the detection of HRAs based on 10-fold internal cross-validation and performance on a prospective hold-out test set (n = 110 samples). (A) Transcripts used in the custom amplicon panel (n = 639 amplicons) were selected based on previously conducted research and differentially expressed amplicons were identified using 100-fold bootstrapping of the 154-patient training set. If an amplicon was observed in at least 25% of all 100 splits (bootstrap threshold), then it was considered differentially expressed and was eligible as a feature for the final model. Each column represents a single amplicon denoted by the HUGO gene name with exon location of forward and reverse probes. In total, 15 amplicons on 14 unique genes were selected as differentially expressed. (B) Ten-fold internal cross-validation was performed using the training set (n = 154 samples), 15 differentially expressed amplicons, and raw GAPDH values. The ROC curve shows model performance whereby HRAs were considered positive and other findings (medium-risk adenomas, low-risk adenomas, benign polyps, no findings on a colonoscopy) were considered negative. (C) Box plots show model output for each sample, parsed by sample type, for the prospective hold-out test set (n = 110 samples). Sample type is ascending based on lesion severity (ie, no finding 6.2 = least severe, HRA 2.1 = most severe) (Supplementary Table 1). Each dot represents a single sample employed in the analysis. The box encases the first and third quartile of the data set, the bar within the box represents the median value. Whiskers represent 1.5 times the interquartile range and values that extend beyond the length of the whiskers were considered outliers. The dashed line represents the threshold defined by internal cross-validation performance (0.1415) (D) An ordinal regression model was created using the training set (n = 154 samples) and all 16 eligible features. The ordinal regression model was employed on the prospective hold-out test set (n = 110 samples) to determine model performance. HRAs were considered positive and other findings (medium-risk adenomas, low-risk adenomas, benign polyps, no findings on a colonoscopy) were considered negative. Sensitivity is shown for HRAs and specificity is shown for all other findings. Each sample in the training set (n = 154) and hold-out test set (n = 110) was from a unique donor (Supplementary Table 2). LRA, low-risk adenoma; MRA, medium-risk adenoma; Sen., sensitivity; Spec., specificity. Gastroenterology 2019 157, 884-887.e3DOI: (10.1053/j.gastro.2019.05.058) Copyright © 2019 AGA Institute Terms and Conditions