Skip to main content
. 2022 Nov 30;19(23):15991. doi: 10.3390/ijerph192315991

Figure 5.

Figure 5

Bacteroides caccae and Anaerotruncus spp. may serve as predictive microbial biomarkers for the risk of NSCLC. The cutoff value in receiver operating characteristic (ROC) curve analysis was 0.8 including only good (0.8≤, area under the curve (AUC) < 0.9) and excellent (AUC ≥ 0.9) biosignatures. The AUCs of Bacteroides caccae (A), Anaerotruncus spp. (B), and the combination of the abundances of both bacteria (C) in predicting NSCLC risk were analyzed separately.