supp Tables from Development and Validation of a Prostate Cancer Genomic Signature that Predicts Early ADT Treatment Response Following Radical Prostatectomy

Table 1: Clinicopathological characteristics of training and validation cohorts Table 2: Univariable and multivariable Cox regression of the validation set studying the interaction between ADT treatment and ADT-RS Table S1: List of NEPC related genes used for model discovery Table S2: List of ADT-RS genes and their coefficients in both arms in the final model Table S3: Clinicopathological characteristics of the matched validation set comparing treated-ADT patients to no-ADT treated patients Table S4: Survival c-indices in discriminating metatastic risk for three genomic signatures (ADT-RS, Decipher, cell cycle genes) across the three validation datasets. ADT-RS scores were multiplied by a factor of -1 so that higher scores reflect a higher risk of metastasis for comparison with the two prognostic-only models. Table S5: Marginal ADT by genomic biomarker interaction effect