Research square · 2025
Multi-Cohort High-Dimensional Proteomics Reveals Early Risk Markers for Lymphoid Cancer Subtypes.
СтатьяПрепринтНазвание и аннотация: Перевод пока не подготовлен
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Kolijn P Martijn, Smith-Byrne Karl, Burk Vernon, Viallon Vivian, Lee Matthew A, Papier Keren, Wang Ziqiao, Langerak Anton W, Späth Florentin, Diepstra Arjan, Lill Christina M, Zamora-Ros Raul, Macciotta Alessandra, Aizpurua Amaia, Tumino Rosario, Chatterjee Nilanjan, Travis Ruth C, Gunter Marc J, Platz Elizabeth A, Riboli Elio, McKay James, Vermeulen Roel C H
Аннотация
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.