Periodic Reporting for period 2 - EOSC4Cancer (A European-wide foundation to accelerate Data-driven Cancer Research)
Reporting period: 2023-09-01 to 2025-05-31
Five use cases linked to the different stages of the Cancer Patient Journey, from prevention to treatment, guide the technical work, reflecting key cancer research data flows. EOSC4Cancer enabled access to genomics, imaging, and clinical data through improved, interoperable, and federated systems, supporting data reuse for research and clinical translation.
The project focused on enhancing and integrating existing tools to improve data sharing and analysis. For example, cBioPortal, used for visualising clinical and genomic data, was extended to support imaging and linked to platforms like Galaxy and OpenVRE. This enabled seamless, cross-platform workflows and improved interoperability. EOSC4Cancer also produced protocols to support FAIR data and software practices, with results demonstrated in colorectal cancer use cases and designed for wider adoption across tumour types and future EU Mission on Cancer initiatives.
To support uptake, the project produced publicly available best practices, recommendations, and a Roadmap for the Future of the European Cancer Data Landscape, an actionable vision co-developed with diverse stakeholders to guide the creation of a federated, privacy-aware, clinically relevant data ecosystem.
EOSC4Cancer extended RDMkit with a cancer-specific page offering tailored FAIR data guidance for oncology, covering data types such as genomics, imaging, and clinical records. Hosted by ELIXIR, it will be maintained through regular community-driven updates.
The project also initiated the harmonisation of screening data, producing a codebook of 55 elements for colorectal cancer screening. This lays the foundation for cross-border comparability and reuse, with next steps focused on broader validation and alignment with HL7 and other initiatives.
Technical demonstrations include a Beacon v2 prototype for federated genomic data discovery, tested on colorectal cancer use cases, and a pan-European metadata catalogue (Data Resources Map), which enables the alignment of heterogeneous datasets.
For clinical decision support, EOSC4Cancer developed two complementary trial-matching tools: TrialMatchAI (AI-based automatic matching) and the MCTM module in the MTBP (manual curation). These systems enhance the integration of molecular data into clinical decision support systems (CDSS) workflows.
EOSC4Cancer prioritised the enhancement and alignment of existing tools and infrastructures, avoiding duplication and demonstrating the value of building on proven platforms. This strategic approach establishes a robust foundation for future initiatives, including UNCAN-Connect, and supports the evolution of Europe’s cancer data-sharing ecosystem.