A comprehensive European Colorectal Cancer Cohort dataset

Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The Biobanking and Biomolecular Resources European Research Infrastructure (BBMRI-ERIC) established a CRC-Cohort with European coverage contributed by 26 biobanks from 12 countries. This retrospective, multi-center study contains structured and curated clinical data, supporting research on biomarkers for early detection, prognosis, and treatment. A phenotypical/clinical data model has been defined and individual-level data from 10,780 CRC patients have been collected at BBMRI-ERIC in the central data deposition service hosted as part of its services. The participating biobanks host additional data, which can be accessed on request and used to derive additional data. This mechanism has been used to extend the collected data with scans of histopathological slides to support research in artificial intelligence in digital pathology and with whole genome sequencing data to pilot a use case of the upcoming European Health Data Space (EHDS). Here we present the methodology, the quality assurance mechanisms, and the implementation of FAIR and FAIR-Health principles applied to build the CRC-Cohort.

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Publication Details

Journal
Scientific Data
Published
2026-03-12
DOI
https://doi.org/10.1038/s41597-026-06822-2
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00

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article

A comprehensive European Colorectal Cancer Cohort dataset

Mauro Del Rio, Birgit Simell, Caitlin Ahern, Paolo Romano et al.
Scientific Data
Cancer Genomics and Diagnostics
article

A comprehensive European Colorectal Cancer Cohort dataset

Mauro Del Rio, Birgit Simell, Caitlin Ahern, Paolo Romano, Martina Oberländer, Outi Törnwall, Amila Kugic, Mariska Bierkens, Lars Boeckmann, Michael Hummel, Irene Schlünder, Annemieke C. Hiemstra, Stéphanie Gofflot, Francesca Frexia, Ondřej Vojtíšek, Eva G. Álvarez, Berthold Huppertz, Florian Stampe, Kyriacos Kyriacou, Daniela Pistillo, Maxmilian Ataian, Laurence Faugeras, Alexander Brobeil, Jens K. Habermann, Simone Leo, Giovanni Delussu, Luca Pireddu, Ann-Kristin Kock-Schoppenhauer, Andreas Hadjisavvas, Rumyana Proynova, Maria A. Loizidou, Cecilia Mascia, Daniel P. Brucker, Saher Maqsood, Alessandro Sulis, Sebastian Mate, Chiara Fallerini, Robert Reihs, Alex E. Felice, Martin D. Berger, Fabienne George, Vitomir Horvat, Gabriele Husmann, Vittorio Meloni, Tom Southerington, Heimo Müller, Timo Gemoll, Jiří Horák, Marco Enrico Piras, Alessandra Renieri, Tatiana Besse-Hammer, Marialuisa Lavitrano, Petr Holub, Karine Sargsyan, Hans-Ulrich Prokosch, Matteo Gnocchi, Malcolm Pace, Olli Carpén, Marco Moscatelli, Simona di Martino, Tobias Sjöblom, Esmeralda Castanos-Vélez, Valentina Paleari, Per-Henrik D. Edqvist, Yannick Bantel, Jan-Eric Litton, Dalibor Valík, Alexander Fürbaß, Diogo Alexandre, Martin Kačenga, Gerrit Meijer, Frank Ückert, Erik Steinfelder, Barbara Parodi, Joanna Vella, Inti Zlobec, Rudolf Nenutil, Michael Hoffmeister, Anna-Liisa Bader, Kurt Zatloukal, Franziska Vogl, Gennaro Ciliberto
article en

Abstract

Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The Biobanking and Biomolecular Resources European Research Infrastructure (BBMRI-ERIC) established a CRC-Cohort with European coverage contributed by 26 biobanks from 12 countries. This retrospective, multi-center study contains structured and curated clinical data, supporting research on biomarkers for early detection, prognosis, and treatment. A phenotypical/clinical data model has been defined and individual-level data from 10,780 CRC patients have been collected at BBMRI-ERIC in the central data deposition service hosted as part of its services. The participating biobanks host additional data, which can be accessed on request and used to derive additional data. This mechanism has been used to extend the collected data with scans of histopathological slides to support research in artificial intelligence in digital pathology and with whole genome sequencing data to pilot a use case of the upcoming European Health Data Space (EHDS). Here we present the methodology, the quality assurance mechanisms, and the implementation of FAIR and FAIR-Health principles applied to build the CRC-Cohort.

Scientific Data
University of Siena (IT), Goethe University Frankfurt (DE), University of Bern (CH), Uppsala University (SE), Cedars-Sinai Medical Center (US), University of Helsinki (FI), University of Turku (FI), Universität Hamburg (DE), Turku University of Applied Sciences (FI), German Cancer Research Center (DE), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), University of Malta (MT), Medical University of Graz (AT), Masaryk University (CZ), Heidelberg University (DE), Center for Advanced Studies Research and Development in Sardinia (IT), University Hospital of Bern (CH), Karolinska Institutet (SE), The Netherlands Cancer Institute (NL), Universitätsklinikum Erlangen (DE), CHU Dinant Godinne UCL Namur (BE), Biobanking and Biomolecular Resources Research Infrastructure Consortium (AT), University Hospital Brno (CZ), Centre Hospitalier Universitaire Brugmann (BE), University Medical Center Hamburg-Eppendorf (DE), National Center for Tumor Diseases (DE), University Hospital Schleswig-Holstein (DE), Masaryk Memorial Cancer Institute (CZ), CeGaT (Germany) (DE), University Hospital Frankfurt (DE), National Cancer Institute (MY), Centre Hospitalier Universitaire de Liège (BE), Ospedale Policlinico San Martino (IT), Institute of Biomedical Technologies (IT), IRCCS Humanitas Research Hospital (IT), University of Rostock (DE), Cyprus Institute of Neurology and Genetics (CY), Yerevan State Medical University (AM), University of Milano-Bicocca (IT), Charité - Universitätsmedizin Berlin (DE), Paul Ehrlich Institut (DE), University of Lübeck (DE)
EOSC-Life, HORIZON EUROPE Framework Programme
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Openalex Percentile: Top 24%
Cancer Genomics and Diagnostics
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