Cohn, S.L., London, W.B., Schleiermacher, G. et al. (29 more authors) (2026) International neuroblastoma risk group consortium: a model of networking for rare cancers. Journal of the National Cancer Institute, 118 (4). pp. 579-588. ISSN: 0027-8874
Abstract
It is critical to share knowledge and harmonize approaches to optimize progress in rare cancers. The International Neuroblastoma Risk Group (INRG) Task Force was formed by the 4 major neuroblastoma cooperative groups in 2004 to achieve this goal. Strategies developed for neuroblastoma are an exemplar for other rare malignancies. Data from an initial cohort of 8800 patients were transferred to the INRG Data Commons, and a data-sharing model was developed. Currently, information on more than 25 000 patients is available to the research community. The INRG staging and risk classification systems have led to harmonized approaches for therapeutic groupings. INRG consensus manuscripts have led to uniform criteria for classifying biological data, evaluating the extent of disease, and defining treatment response. More than 40 INRG research studies have been performed by investigators from around the world, including analyses of rare patients, which would not otherwise be possible. The success of this approach for neuroblastoma has been leveraged to create the Pediatric Cancer Data Commons and the Data for the Common Good. Efforts to enrich the INRG Commons with additional genomic and biomarker data, extracted electronic health records, and digital medical images are ongoing. The international networking model developed by the INRG Task Force has led to new research discoveries and progress in neuroblastoma. The approach has now been applied to 16 other cancers and conditions, including rhabdomyosarcoma, germ cell tumor, Lynch syndrome, and cancer predisposition. This framework of international collaboration and data sharing serves as a model for advancing rare adult malignancies.
Metadata
| Item Type: | Article |
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| Authors/Creators: |
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| Copyright, Publisher and Additional Information: | © The Author(s) 2025. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY-NC 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. |
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| Institution: | The University of Leeds |
| Academic Units: | The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Medical Research (LIMR) > Division of Molecular Medicine |
| Date Deposited: | 02 Nov 2026 14:18 |
| Last Modified: | 02 Nov 2026 14:18 |
| Status: | Published |
| Publisher: | Oxford University Press |
| Identification Number: | 10.1093/jnci/djaf242 |
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| Sustainable Development Goals: | |
| Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:247236 |


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