Proceedings of the 13th International Conference on Thrombosis and Hemostasis Issues in Cancer, 2026

Next-generation biomarkers for cancer-associated thrombosis prediction: the role of non-genomic-omics

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Published: 16 April 2026
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Prediction of cancer-associated thrombosis (CAT) remains a major clinical challenge. Although genomic data and clinic-genetic scores have advanced understanding, they do not explain all inter-individual variability in CAT risk. Non-genomic omics, including proteomics, transcriptomics and epigenomics, capture complementary, dynamic biological information that can improve risk stratification. In summary, genomics contributes one piece of a much larger puzzle, necessary, informative, but fundamentally insufficient when used alone to understand, predict or manage CAT. This review synthesizes recent evidence on these non-genomic–omics for CAT prediction, highlights current limitations (validation, standardization, causal inference) and outlines priorities for translational development and clinical validation.

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Supporting Agencies

This work was supported by Networking Biomedical Research Centre in the subject areas of Rares Diseases (CIBERER CB23/07/00042) initiatives of Instituto de Investigación Carlos III (ISCIII), 2021 SGR00830 from Generalitat de Catalunya, the Spanish Government Instituto de Salud Carlos III and Fondo de Investigación Sanitaria (ISCIII-FIS) (PI24/00682), CERCA Programme/Generalitat de Catalunya, and the nonprofit association Activa’TT por la Salud.

How to Cite



1.
Soria JM, Souto JC, Muñoz A. Next-generation biomarkers for cancer-associated thrombosis prediction: the role of non-genomic-omics. Bleeding Thromb Vasc Biol [Internet]. 2026 Apr. 16 [cited 2026 Apr. 19];5(s1). Available from: https://www.btvb.org/btvb/article/view/447