Project data sphere (PDS) in prostate cancer: A first look including concomitant medication use.
204 Background: PDS enables patient-level analyses of control arms of cancer trials. The interface (www.projectdatasphere.org) allows for both web-based and download-based analyses. We aimed to validate established prostate cancer prognostic models and explore the effect of concomitant medications on survival in mCRPC. Methods: Data was obtained for 2,747 control subjects with mCRPC from 7 Phase III clinical trials with 1962 subjects available for OS analyses from 5 studies. Overall survival was estimated using the Kaplan-Meier Method. Cox-proportional hazards models, stratified by trial, were used to estimate hazard ratios. Results: Metastatic site was significant for overall survival (Median: Node only 23.69m, Bone 18.17m, Lung 14.72m, Liver 9.43m; p < 0.001). Of the 23 types of medication examined, after adjusting for metastatic site, patients taking proton pump inhibitors (HR: 1.155, p=0.017) and Erythropoietin (HR: 1.49, p-value<.001) had worse overall survival whilst patients taking fish oil (HR:0.68, p-value=0.033) and non-lipophilic statins (HR:0.69, p=.00277) had improved overall survival. Within the limits of available data, we validated the prognostic models for overall survival proposed by Templeton et al. and Sonpavde et al individually and after inclusion of concomitant medication where patients taking metformin (HR=0.729, p=.0082) and Cox 2 inhibitors (HR=0.708, p=.015) had improved OS whilst those taking low molecular weight heparin (HR=1.352, p=.004) had worse OS. Conclusions: As a first project utilizing open-source PDS data in prostate cancer, we validated two prostate cancer prognostic models and illuminated the ability to undertake novel analyses such as the association of concomitant medications with outcome. Limitations of the data relate to incomplete and inconsistent data entry. Future expansion of patient trials and numbers will help to facilitate future analyses.