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. 2019 Aug 15;116(36):17957–17962. doi: 10.1073/pnas.1907904116

Fig. 4.

Fig. 4.

Refined prognostication in NSCLC patients with MMPi. (A) CV of the index in discordant samples previously identified with TMi. Patient IDs and the mean CV for each prognostic index are stated. (B) Gaussian kernel density distribution of MMPi in tumor sectors (n = 35) from study 2. (C) Kaplan–Meier survival curves using the optimal cutoff value (95% CI = 2.0 to 46.8; log-rank P = 0.00062). (D) Violin plot depicting MMPi distribution in datasets probed with the same profiling platform and the universal cutoff value (blue dotted line). (E–G) Kaplan–Meier survival curves using (E) GSE50081 (95% CI = 0.99 to 3.3; log-rank P = 0.049; n = 177), (F) GSE30219 (95% CI = 1.0 to 2.4; log-rank P = 0.0345; n = 278), and (G) GSE31210 (95% CI = 1.3–4.3; log-rank P = 0.00343; n = 226).