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Fig. 2 | Journal of Experimental & Clinical Cancer Research

Fig. 2

From: Nomogram integrating gene expression signatures with clinicopathological features to predict survival in operable NSCLC: a pooled analysis of 2164 patients

Fig. 2

Development and validation of the composite clinicopathologic-genomic nomogram. a Subgroup analysis using the three genomic factors in the training set. Data were expressed using 5-year overall mortality hazard ratio (HR ± 95% confidence interval) for each stepwise increase in the level of predicted signature subclass (that is, absence to uncertainty and uncertainty to presence, or low to medium and medium to high). Square sizes are proportional to subgroup sizes. b Composite nomogram to predict survival for patients with operable NSCLC. c Kaplan-Meier survival curves of overall survival among risk stratification groups using the proposed nomogram in the training set. d Performance of models and individual variables as assessed by concordance index (C-index) in the training set and validation set for predicting postoperative survival for patients with NSCLC. e, f The calibration curves of the proposed nomogram for predicting overall survival (OS) at 1-, 3-, and 5-year in the training set (e) and in the validation set (f). Squares and whiskers represent individual data points and associated 95% confidence intervals, respectively

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