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October 16, 2025Nano Letters11 citations

Integrated Chemical Array and SERS Profiling of Plasma Small Extracellular Vesicles for Breast Cancer Diagnosis

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XFXin FengWZWei ZhangSTSimon Chang‐Hao Tsao

Key Points

  • The integrated platform allows accurate detection of breast cancer using small extracellular vesicles from plasma.
  • SERS nanotags facilitated the multiplexed identification of proteins linked to tumor progression in different cancer stages.
  • Machine learning analysis provided precise differentiation between healthy individuals and patients at various stages of breast cancer.
  • The study showcases the innovative use of liquid biopsy strategies for cancer diagnosis, promising enhanced clinical applications.

Abstract

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.

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Cite This Study

Feng et al. (2025) studied this question.

synapsesocial.com/papers/68f04920e559138a1a06d920https://doi.org/10.1021/acs.nanolett.5c04034
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