supp Tables from Development and Validation of a Prostate Cancer Genomic Signature that Predicts Early ADT Treatment Response Following Radical Prostatectomy
Year: 2023
Type: other
Abstract: 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
Authors: R. Jeffrey Karnes, Vidit Sharma, Voleak Choeurng, Hussam Al-Deen Ashab, Nicholas Erho, Mohammed Alshalalfa, Bruce Trock, Ashley Ross, Kasra Yousefi, Harrison Tsai, Shuang G. Zhao, Jeffrey J. Tosoian, Zaid Haddad, Mandeep Takhar, S. Laura Chang, Daniel E. Spratt, Firas Abdollah, Robert B. Jenkins, Eric A. Klein, Paul L. Nguyen, Adam P. Dicker, Robert B. Den, Elai Davicioni, Felix Y. Feng, Tamara L. Lotan, Edward M. Schaeffer
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
OpenAlex ID: W4361932183