Abstract |
Molecular profiling of tumor-derived extracellular vesicles (tEVs) holds great promise for non-invasive cancer diagnosis. However, sensitive and accurate identification of tEVs is challenged by the heterogeneity of EV phenotypes which reflect different cell origins. Here we present a DNA computation device mediated by thermophoresis for detection of tEVs. The strategy leverages the aptamer-based logic gate using multiple protein biomarkers on single EVs as the input and thermophoretic accumulation to amplify the output signals for highly sensitive and specific profiling of tEVs. Employing this platform, we demonstrate a high accuracy of 97% for discrimination of breast cancer (BC) patients and healthy donors in a clinical cohort ( n = 30). Furthermore, molecular phenotyping assessed by tEVs is in concordance with the results from tissue biopsy in BC patients. The thermophoresis-mediated molecular computation on EVs thus provides new opportunities for accurate detection and classification of cancers.
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Authors | Yike Li, Jinqi Deng, Ziwei Han, Chao Liu, Fei Tian, Rui Xu, Da Han, Shaohua Zhang, Jiashu Sun |
Journal | Journal of the American Chemical Society
(J Am Chem Soc)
Vol. 143
Issue 3
Pg. 1290-1295
(01 27 2021)
ISSN: 1520-5126 [Electronic] United States |
PMID | 33455159
(Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
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Chemical References |
- Aptamers, Nucleotide
- Biomarkers, Tumor
- CD63 protein, human
- EPCAM protein, human
- Epithelial Cell Adhesion Molecule
- Tetraspanin 30
- DNA
- ERBB2 protein, human
- Receptor, ErbB-2
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Topics |
- Adult
- Aged
- Aptamers, Nucleotide
(chemistry)
- Biomarkers, Tumor
(chemistry)
- Breast Neoplasms
(diagnosis)
- Cell Line, Tumor
- Cell Membrane
(metabolism)
- Cohort Studies
- Computers, Molecular
- DNA
(chemistry)
- Epithelial Cell Adhesion Molecule
(chemistry)
- Extracellular Vesicles
(chemistry)
- Humans
- Logic
- Middle Aged
- Receptor, ErbB-2
(chemistry)
- Temperature
- Tetraspanin 30
(chemistry)
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