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Predictive efficacy of microbial biomarkers on NAC response. A, Graphical representation of model performance metrics (out of bag score, sensitivity, NPV, specificity, PPV, AUC score) across iterations, evaluating the robustness of microbial biomarkers in predicting NAC response. B, Ranked importance of bacterial genera as predictors, derived from a machine learning model assessing their utility in distinguishing between CR and NR. C, Summary statistics including sensitivity, specificity, PPV, NPV, and overall AUC score, affirming the predictive value of microbial signatures in clinical outcomes. PPV, positive predictive value; NPV, negative predictive value.
Bukavina et al. (Mon,) studied this question.
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