Abstract 3372: Building precision oncology via real-world data standardization, privacy preserving infrastructures, and collaboration among IT and clinical experts: The DIGICORE network experience
Abstract Precision oncology necessitates personalized treatments maximizing efficacy while minimizing toxicity. Real-World Data (RWD) presents a powerful resource to achieve this, offering insights to clinical trials and facilitating cross-national comparisons of treatment effectiveness. However, significant obstacles persist: data sparsity, unstructured formats, and limited digitization; complex and internationally diverse data privacy regulations; heterogeneous IT infrastructures and expertise across institutions. The DIGICORE (Digital Institute for Cancer Outcome Research) consortium—a network of European hospitals and companies—directly addresses these challenges. Its initiatives, among the DIGIONE research plan, include: (1) the definition of a set of minimum data elements related to electronic health record systems required to setup RWD studies (MEDOC) (2) a standardized survey assessing the digitalization of these key cancer-related data elements; (3) AI-based tools such as natural language processing to support data digitization; (4) a federated learning infrastructure for privacy-preserving clinical research; (4) the development of standards for comprehensive cancer center infrastructure, (5) the establishment of disease-focused working groups to foster collaboration, and (6) dedicated training programs for clinicians to enhance their IT knowledge. To date, three projects have been completed, with additional 10 projects underway. DIGICORE's multi-faceted approach promises to unlock the transformative potential of RWD in advancing personalized cancer care. (https://digicore-cancer.eu/) 1. Mahon P, et al. A federated learning system for precision oncology in Europe: DigiONE. Nat Med. 2024 doi: 10.1038/s41591-023-02715-8. 2. Mahon P, et al. Harnessing oncology real- world data with AI. Nat Cancer. 2023 doi: 10.1038/s43018-023-00689-7. Citation Format: Alberto Traverso, Giovanni Tonon, Piers Mahon, Gennaro Ciliberto, Andre Dekker, Xosé Fernández, Adriana Albini. Building precision oncology via real-world data standardization, privacy preserving infrastructures, and collaboration among IT and clinical experts: The DIGICORE network experience [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 3372.
Authors
- Alberto Traverso (ORCID: https://orcid.org/0000-0001-6183-4429)
- André Dekker (ORCID: https://orcid.org/0000-0002-0422-7996)
- Xosé M. Fernández (ORCID: https://orcid.org/0000-0001-7139-6215)
- Adriana Albini (ORCID: https://orcid.org/0000-0002-9624-5103)
- Piers Mahon
- Giovanni Tonon (ORCID: https://orcid.org/0000-0003-2973-5038)
- Gennaro Ciliberto (ORCID: https://orcid.org/0000-0003-2851-8605)
Institutions
- Umicore (Belgium) (BE)
- Vita-Salute San Raffaele University (IT)
- Maastricht University Medical Centre (NL)
- San Raffaele University of Rome (IT)
Publication Details
- Journal
- Cancer Research
- Published
- 2025-04-21
- DOI
- https://doi.org/10.1158/1538-7445.am2025-3372
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36