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Fig. 4 | Journal of Translational Medicine

Fig. 4

From: An early-onset specific polygenic risk score optimizes age-based risk estimate and stratification of prostate cancer: population-based cohort study

Fig. 4

The area under the receiver operating characteristic (ROC) curve (AUC) evaluating the discriminatory accuracy for prediction of PRSs in a European ancestry population generated from the PLCO cohort and TCGA program. A–C Time-dependent ROC curves and AUCs from censored diagnosis data at 65-year (A), 70-year (cases diagnosed at 55 or younger removed) (B), and 85-year (cases diagnosed at 70 or younger removed) (C) of 269-PRS for prediction of PCa. D–I Time-dependent ROC curves and AUCs of General-PRS (D), EOPC- PRS (E), LOPC-PRS (F), merged-General-PRS (G), merged-EOPC-PRS (H) and merged-LOPC-PRS (I). PLCO Prostate, Lung, Colorectal and Ovarian; TCGA The Cancer Genome Atlas Program, EOPC early-onset prostate cancer, LOPC late-onset prostate cancer

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