Multi-cohort high-dimensional proteomics reveals early risk markers for lymphoid cancer subtypesInternational Agency for Research on Cancer (IARC) - World Health Organization, Lyon, France; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom.
Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, MD, Baltimore, United States.
Department of Immunology, Erasmus MC, Rotterdam, Netherlands.
Department of Pathology and Medical Biology, University of Groningen, University Medical Center Groningen, Groningen, Netherlands.
Institute of Epidemiology and Social Medicine, University of Münster, Münster, Germany; Ageing Epidemiology Research Unit, School of Public Health, Imperial College, London, United Kingdom.
Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), Barcelona, Spain.
Centre for Biostatistics, Epidemiology and Public Health (C-BEPH), Department of Clinical and Biological Sciences, University of Turin, Orbassano, Italy.
Sub-Directorate for Public Health and Addictions of Gipuzkoa, Donostia, Spain; Biodonostia Health Research Institute, Epidemiology of Chronic and Communicable Diseases Group, San Sebastián, Spain.
Hyblean Association for Epidemiology Research, Ragusa, Italy.
Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, MD, Baltimore, United States.
Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom.
International Agency for Research on Cancer (IARC) - World Health Organization, Lyon, France; Cancer Epidemiology and Prevention Research Unit, School of Public Health, Imperial College London, London, United Kingdom.
Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, MD, Baltimore, United States.
Cancer Epidemiology and Prevention Research Unit, School of Public Health, Imperial College London, London, United Kingdom.
International Agency for Research on Cancer (IARC) - World Health Organization, Lyon, France.
Division of Environmental Epidemiology and Veterinary Public Health, Institute for Risk Assessment Sciences, Utrecht University, Utrecht, Netherlands; Julius Global Health, the Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, Netherlands.
Show others and affiliations
2025 (English)In: Nature Communications, E-ISSN 2041-1723, Vol. 16, no 1, article id 9517Article in journal (Refereed) Published
Abstract [en]
This study aims to investigate the early stages of lymphoid malignancy pathogenesis and identify pre-diagnostic proteomic markers for lymphoma. Using the SomaScan-7K platform, we analyze 6412 unique plasma proteins in a case-cohort study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, comprising 4565 participants (484 incident lymphoid malignancy cases, median follow-up 9 years). We identify over 500 unique protein-lymphoid malignancy associations. Enriched pathways include viral protein interactions, cytokine signaling, B-cell receptor signaling, and NF-κB activation, reflecting key mechanisms in lymphoma pathogenesis. Cross-cohort validation of the top 20 FDR-significant proteins reveals concordant nominal significance for 70%-95% of the associations in the UK Biobank (Olink) and ARIC (SomaScan) studies. Time-stratified analyses reveals that a subset of these protein-lymphoma associations is evident over a decade before diagnosis. These findings highlight the potential of circulating proteomic markers in risk stratification, early diagnosis, and targeted prevention strategies for lymphoid malignancies.
Place, publisher, year, edition, pages
Springer Nature, 2025. Vol. 16, no 1, article id 9517
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:umu:diva-246832DOI: 10.1038/s41467-025-64534-4ISI: 001604755900007PubMedID: 41152224Scopus ID: 2-s2.0-105020288926OAI: oai:DiVA.org:umu-246832DiVA, id: diva2:2016026
2025-11-242025-11-242025-11-24Bibliographically approved