Organic Electronic Platform for Real‐Time Phenotypic Screening of Extracellular‐Vesicle‐Driven Breast Cancer Metastasis

Author:

Traberg Walther C.1ORCID,Uribe Johana2,Druet Victor3,Hama Adel3,Moysidou Chrysanthi‐Maria1,Huerta Miriam2,McCoy Reece1,Hayward Daniel4,Savva Achilleas1,Genovese Amaury M. R.1,Pavagada Suraj14,Lu Zixuan1,Koklu Anil3,Pappa Anna‐Maria156,Fitzgerald Rebecca4,Inal Sahika3,Daniel Susan2,Owens Róisín M.1ORCID

Affiliation:

1. Department of Chemical Engineering and Biotechnology University of Cambridge Cambridge CB3 0AS UK

2. Robert F. Smith School of Chemical and Biomolecular Engineering Cornell University Olin Hall Ithaca NY 14853 USA

3. Biological and Environmental Sciences and Engineering Division King Abdullah University of Science and Technology (KAUST) Thuwal 3955 Kingdom of Saudi Arabia

4. Early Cancer Institute University of Cambridge Hutchison Research Centre Cambridge CB2 0XZ UK

5. Healthcare Innovation Engineering Center Khalifa University Abu Dhabi PO Box 127788 United Arab Emirates

6. Department of Biomedical Engineering Khalifa University of Science and Technology Abu Dhabi PO Box 127788 United Arab Emirates

Abstract

AbstractTumor‐derived extracellular vesicles (TEVs) induce the epithelial‐to‐mesenchymal transition (EMT) in nonmalignant cells to promote invasion and cancer metastasis, representing a novel therapeutic target in a field severely lacking in efficacious antimetastasis treatments. However, scalable technologies that allow continuous, multiparametric monitoring for identifying metastasis inhibitors are absent. Here, the development of a functional phenotypic screening platform based on organic electrochemical transistors (OECTs) for real‐time, noninvasive monitoring of TEV‐induced EMT and screening of antimetastatic drugs is reported. TEVs derived from the triple‐negative breast cancer cell line MDA‐MB‐231 induce EMT in nonmalignant breast epithelial cells (MCF10A) over a nine‐day period, recapitulating a model of invasive ductal carcinoma metastasis. Immunoblot analysis and immunofluorescence imaging confirm the EMT status of TEV‐treated cells, while dual optical and electrical readouts of cell phenotype are obtained using OECTs. Further, heparin, a competitive inhibitor of cell surface receptors, is identified as an effective blocker of TEV‐induced EMT. Together, these results demonstrate the utility of the platform for TEV‐targeted drug discovery, allowing for facile modeling of the transient drug response using electrical measurements, and provide proof of concept that inhibitors of TEV function have potential as antimetastatic drug candidates.

Funder

Cambridge Trust

Publisher

Wiley

Subject

Pharmaceutical Science,Biomedical Engineering,Biomaterials

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