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Fig. 1 | Journal of Translational Medicine

Fig. 1

From: Low muscle mass in lung cancer is associated with an inflammatory and immunosuppressive tumor microenvironment

Fig. 1

Cachexia classification models. A Decision tree generated using Classification And Regression Trees (CART). The bottom boxes indicate hazard ratios, the number of patients at risk in each leaf, and the percentage of patients in each leaf. This analysis was performed using the discovery set samples. B Kaplan–Meier survival curve generated by Cutoff Finder tool (red-curve: PMA > 0.71 and low-risk group; black-curve: PMA < 0.71 and high-risk group) using samples from the discovery set. C AUC-ROC curve demonstrating the specificity and sensitivity of PMA cutoffs in indicating low muscle mass (determined by third lumbar skeletal muscle index cutoffs [4]) in the discovery set. D Kaplan–Meier survival curve comparing LM (low-muscularity patients) and HM (high-muscularity patients) using samples from the validation set. Red-curve: PMA > 0.71 and low-risk group; Black-curve: PMA < 0.71 and high-risk group The resulting P-values for the log-rank test are shown. E Kaplan–Meier survival curve comparing low- and high-muscularity (LM and HM, respectively) patients by combining the discovery and validation datasets. Red-curve: PMA > 0.71 and low-risk group; Black-curve: PMA < 0.71 and high-risk group. The resulting P-values for the log-rank test are shown. HR: hazard ratio; CI: 95% confidence interval

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