Scholarlink

<p>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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

A comprehensive European Colorectal Cancer Cohort dataset

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月12日

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

摘要

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.