Fig. 3From: Leveraging circulating microbiome signatures to predict tumor immune microenvironment and prognosis of patients with non-small cell lung cancerDevelopment of the nomogram survival model based on circulating MAPS. A Forest plot illustrated the independent prognostic impact of circulating MAPS by adjusting for clinical characteristics (including age, subtype, gender and stage). B, C Nomogram models based on clinical factors without B or with C circulating MAPS to predict the 1-, 3- and 5Â year OS probability of NSCLC patients. D, E Time-dependent ROCs illustrated the performance of the nomogram models without D or with E circulating MAPSBack to article page