EU-OPEN: A novel approach for generating European oncology real-world evidence at scale.
Abstract
11161 Background: The European Oncology Platform for Evidence Needs (EU-OPEN) is a strategic initiative to generate high-quality oncology real-world evidence (RWE) in Europe. It focuses on establishing multi-study partnerships with access to clinically rich data, regional medical expertise and to enable adoption of novel approaches to conduct research on cohorts of interest efficiently at scale. Methods: For each tumor area (e.g., EU-OPEN Breast) , master protocols aligned to specific patient populations (e.g., ER+/HER2- earlier stage breast cancer or triple negative metastatic breast cancer) are developed alongside a fit-for-purpose data assessment at prospective data partners (primarily hospital sites and registries). Data partners are selected based on their data availability, data quality and operational aspects of collaboration. After finalizing the master protocol, supporting documentation (including common data models and statistical analysis plans) are prepared and shared with partner sites for consistent execution. Data partners then curate, harmonize and analyze data in accordance with the study requirements. Studies and patient cohorts can be efficiently refreshed to capture longer-term outcomes. Results: The initiative began in 2024 with a multi-tumor assessment of prospective data partners and an early breast cancer pilot study (completed and published in 2025). EU-OPEN has since expanded to metastatic breast, endometrial, ovarian and esophageal cancers. Collectively these studies encompass 11 cohorts and plan to include > 2,200 patients. Future plans include expanding to additional tumor areas and data partner types, adopting advanced capabilities such as natural language processing (NLP) to maintain ‘live cohorts’ for rapid analyses, and strengthening governance through clinical and data committees across partners. Conclusions: EU-OPEN demonstrates a scalable, efficient approach to generating research-grade European Oncology RWE at scale. As the initiative grows, adoption of novel technologies and deeper collaboration with data and clinical experts will further accelerate insight generation.
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (10)
Kaushal Desai
Merck & Co., Inc, Rahway, NJ
Elinor Sawyer
Comprehensive Cancer Centre, Guy’s & St Thomas’ NHS Trust, London, United Kingdom
Mieke Van Hemelrijck
Nina Snelling
Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom
Adil Ajmal
IQVIA Real World Solutions, London, United Kingdom
Kirill Dushkin
IQVIA Real World Solutions, London, United Kingdom
Linda Haroun
Institut Curie, Data Department, Paris, France
Mahéva Vallet
Cancer Research UK Scotland Centre, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, United Kingdom
Peter S. Hall
Francois Bocquet
Institut de Cancérologie de l’Ouest Nantes Angers, Data Factory and Analytics Department, Nantes, France