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

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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-kappa B 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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Nature Communications, 2025, vol. 16, 9517

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cc-by (c) Martijn Kolijn, P. et al., 2025

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Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL))

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