Integrated Chemical Array and SERS Profiling of Plasma Small Extracellular Vesicles for Breast Cancer Diagnosis
Small extracellular vesicles (sEVs) are nanoscale vesicles carrying biomolecules reflective of their cellular origin, making them attractive biomarkers for cancer diagnosis. In this study, we present a high-throughput strategy integrating amphiphile-dendrimer supramolecular probe (ADSP)-based sEV capture with surface-enhanced Raman scattering (SERS) for sensitive, multiplexed detection of breast cancer (BC)-related surface proteins. Plasma-derived sEVs from BC patients at different clinical stages were analyzed, focusing on CD9, EpCAM, and HER2 as key proteins linked to vesicle identity and tumor progression. Gold nanoparticle-based SERS nanotags conjugated with specific antibodies enabled precise detection. Statistical and machine learning analyses of protein profiles allowed accurate discrimination among healthy donors, ductal carcinoma in situ (Stage 0), early stage BC (Stage I-II), and metastatic-stage BC (Stage IV). This integrated platform provides a powerful tool for BC diagnosis and highlights the potential of sEV-based liquid biopsy strategies for clinical application.
Authors
- Lianghai Hu (ORCID: https://orcid.org/0000-0002-1246-6524)
- Chao Shen (ORCID: https://orcid.org/0000-0003-0386-6689)
- Simon Chang‐Hao Tsao (ORCID: https://orcid.org/0000-0002-9654-359X)
- Xin Feng (ORCID: https://orcid.org/0000-0001-7575-7276)
- Yuling Wang (ORCID: https://orcid.org/0000-0003-3627-7397)
- Wei Zhang (ORCID: https://orcid.org/0000-0002-4280-1442)
Institutions
- Texas Department of State Health Services (US)
- The University of Melbourne (AU)
- OSRAM (United States) (US)
- Jilin University (CN)
- First Hospital of Jilin University (CN)
- Jilin Medical University (CN)
- Austin Health (AU)
- Macquarie University (AU)
Publication Details
- Journal
- Nano Letters
- Published
- 2025-10-14
- DOI
- https://doi.org/10.1021/acs.nanolett.5c04034
- Citations
- 3
- Primary Topic
- Extracellular vesicles in disease
- Type
- article
- Field-Weighted Citation Impact
- 2.42