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.

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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
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article

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

Lianghai Hu, Chao Shen, Simon Chang‐Hao Tsao, Xin Feng et al.
3 citations
Nano Letters
Extracellular vesicles in disease
2.42
article

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

Lianghai Hu, Chao Shen, Simon Chang‐Hao Tsao, Xin Feng, Yuling Wang, Wei Zhang
article en
3 citations

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.

Nano LettersVol. 25(42)
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)
Openalex Percentile: Top 10%
Extracellular vesicles in disease
2.42
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Integrated Chemical Array and SERS Profiling of Plasma Small Extracellular Vesicles for Breast Cancer Diagnosis — Lianghai Hu, Chao Shen, et al. · Nano Letters (2025) | TGRS Research Map | TGRS