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Fig. 2 | Journal of Translational Medicine

Fig. 2

From: Leveraging circulating microbiome signatures to predict tumor immune microenvironment and prognosis of patients with non-small cell lung cancer

Fig. 2

Construction of the circulating MAPS model for prognosis of NSCLC patients. A Volcano plot of the candidate circulating microbial signatures that significantly associated with OS by a univariate cox regression. B Kaplan–Meier OS curve of the representative microbe (Candidatus_Babela). C Forest plot of the circulating microbial prognostic signatures that independently impact OS by a multivariate cox regression. D Optimal cutoff value of circulating MAPS determined by the “surv_cutpoint” function. E Kaplan–Meier OS curve of circulating MAPS. The P value was calculated by log-rank test between circulating MAPS-high and MAPS-low groups. F ROC illustrated the performance of circulating MAPS for predicting the 1-, 3- and 5 year OS rate

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