ArticleResearch square2025
Multi-Cohort High-Dimensional Proteomics Reveals Early Risk Markers for Lymphoid Cancer Subtypes.
Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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22 authors.
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Abstract
This study aims to investigate the early stages of lymphoid malignancy pathogenesis and identify novel pre-diagnostic proteomic markers for lymphoma. Using the SomaScan-7K platform, we analyzed 6,412 unique plasma proteins in a case-cohort study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, comprising 4,565 participants (484 incident lymphoid malignancy cases, median follow-up 9 years). We identified over 500 unique protein-lymphoid malignancy associations. Enriched pathways included 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 revealed concordant nominal significance for 70%-95% of the associations in the UK Biobank (Olink) and ARIC (SomaScan) studies. Time-stratified analyses revealed 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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