Multimodal Activity-Affinity Assay of ADAM-10 Extracellular Vesicles in Untreated Plasma Reveals Metastatic Stage of Colorectal Cancer.
1/5 보강
Metalloproteinases (MPs) such as a-disintegrin and metalloproteinase-10 (ADAM-10) are key drivers of extracellular matrix remodeling during tumor progression, yet MP-based liquid biopsy tests have not
APA
Shi T, Sinclair JA, et al. (2025). Multimodal Activity-Affinity Assay of ADAM-10 Extracellular Vesicles in Untreated Plasma Reveals Metastatic Stage of Colorectal Cancer.. medRxiv : the preprint server for health sciences. https://doi.org/10.1101/2025.10.17.25338249
MLA
Shi T, et al.. "Multimodal Activity-Affinity Assay of ADAM-10 Extracellular Vesicles in Untreated Plasma Reveals Metastatic Stage of Colorectal Cancer.." medRxiv : the preprint server for health sciences, 2025.
PMID
41282850 ↗
Abstract 한글 요약
Metalloproteinases (MPs) such as a-disintegrin and metalloproteinase-10 (ADAM-10) are key drivers of extracellular matrix remodeling during tumor progression, yet MP-based liquid biopsy tests have not reached clinical utility. Here, we show that active ADAM-10 is selectively enriched on the surface of circulating extracellular vesicles (EVs) in the plasma of colorectal cancer patients. Our findings further suggest ADAM-10+ EVs are locally enriched in dense pre-metastatic tumor extracellular matrix and subsequently accumulate in blood post-metastasis. To capture these unique signatures of disease progression, a novel ADAM-10 activity assay is integrated with a size-selective Immuno-Janus Particle (IJP) affinity assay for characterizing ADAM-10+ EVs in untreated plasma. In a 43-patient colorectal cancer cohort, this multimodal platform distinguished healthy, pre-metastatic, and metastatic states with 95% overall accuracy. When combined with lipidomics as a third modality, the platform correctly determined 97.4% cancer stage accuracy, with only one misclassification. This study establishes a multimodal EV-based activity/affinity assay as a robust framework for liquid biopsy, providing accurate cancer staging, improved prognostics, and offering a potential platform for pan-disease diagnostics.
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