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. 2018 Oct 25;9:258–277. doi: 10.1016/j.isci.2018.10.021

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© 2018 The Authors

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Performance of the 121-Gene Set Classifier in the Validation Dataset and Its Effectiveness in the Prognosis of Worse Survival Outcome in the TCGA Datasets

(A–D) (A) Receiver operating characteristic (ROC) curves shown for separating HPD patients from non-HPD patients in the validation dataset (Dataset_2, 21 HPD versus 30 non-HPD patients, AUC = 0.91 [95% CI, 0.87–0.96]); Kaplan-Meier analysis showed that the 121-gene set classifier can separate significantly low- and high-risk groups in all of the 13 major TCGA cancers, of which the top three cancers with greatest hazard ratios (HRs) were shown in (B) ESCA (HR = 100.1, 95% CI, 23.1–433.6); (C) COAD (HR = 17.5, 95% CI, 7.4–40.9), and (D) PAAD datasets (HR = 16.0, 95% CI, 8.8–29.0). See also Figures S9–S12.