Multi-cohort high-dimensional proteomics reveals early risk markers for lymphoid cancer subtypes

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.

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Publication Details

Journal
Nature Communications
Published
2025-10-28
DOI
https://doi.org/10.1038/s41467-025-64534-4
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-cohort high-dimensional proteomics reveals early risk markers for lymphoid cancer subtypes

Christina M. Lill, James McKay, Amaia Aizpurua, Alessandra Macciotta et al.
Nature Communications
Advanced Proteomics Techniques and Applications
article

Multi-cohort high-dimensional proteomics reveals early risk markers for lymphoid cancer subtypes

Christina M. Lill, James McKay, Amaia Aizpurua, Alessandra Macciotta, Nilanjan Chatterjee, Elizabeth A. Platz, Matthew A. Lee, Roel C.H. Vermeulen, Ziqiao Wang, ­Rosario ­Tumino, Karl Smith-Byrne, Florentin Späth, P. Martijn Kolijn, Elio Ríboli, Marc J. Gunter, Anton W. Langerak, Arjan Diepstra, Keren Papier, Vivian Viallon, Ruth C. Travis, Vernon A. Burk
article en

Abstract

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.

Nature CommunicationsVol. 16(1)
University Medical Center Groningen (NL), Johns Hopkins University (US), University of Groningen (NL), Utrecht University (NL), University of Münster (DE), Basque Government (ES), Erasmus MC (NL), University Medical Center Utrecht (NL), University of Bristol (GB), University of Oxford (GB), Institut d'Investigació Biomédica de Bellvitge (ES), Biogipuzkoa Health Research Institute (ES), Institut Català d'Oncologia (ES), Italian Association for Cancer Research (IT), Department of Public Health (US), Centre international de recherche sur le cancer (FR), Imperial College London (GB), Umeå University (SE), Erasmus University Rotterdam (NL)
U.S. Department of Health and Human Services, World Health Organization, Compagnia di San Paolo, Cancer Research UK, National Institute for Health and Care Research, Imperial College London, European Commission, ZonMw, Ministero della Salute, Associazione Italiana per la Ricerca sul Cancro, National Institutes of Health, Centers for Disease Control and Prevention, Medical Research Council, World Cancer Research Fund, Instituto de Salud Carlos III, Rijksinstituut voor Volksgezondheid en Milieu, School of Public Health, Imperial College London, National Heart, Lung, and Blood Institute, National Cancer Institute
Openalex Percentile: Top 71%
Advanced Proteomics Techniques and Applications
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