Prostate Cancer DREAM Challenge Leads to New Biomarkers for Advanced Disease

Prostate Cancer DREAM Challenge Leads to New Biomarkers for Advanced Disease
Data sharing, when combined with a crowdsourcing challenge, can be a robust and powerful framework to develop new prognostic models for advanced prostate cancers, according to a study of a competition that resulted in new biomarkers of progression in metastatic and castration-resistant cancers. The study, Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data,” was published in the journal Lancet Oncology. A competition called the Prostate Cancer DREAM (Dialogue for Reverse Engineering Assessments and Methods) Challenge — organized by  Project Data Sphere, the Prostate Cancer Foundation, and Sage Bionetworks — aimed to address clinically relevant research questions regarding patients with metastatic castration-resistant prostate cancer (mCRPC). It explored new research approaches using the Project Data Sphere platform, an online service sharing patient-level data from multiple Phase 3 trials for consideration and analysis, with the goal of advancing cancer research. In the DREAM challenge, 50 teams created models of mCRPC risk factors using data hosted on the Project Data Sphere platform. The winning model, by researchers at the Institute for Molecular Medicine Finland (FIMM) a
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