Extracellular vesicles (EVs) are gaining considerable traction within the liquid biopsy arena, as carriers of information from cells in distant sites that may not be accessible for biopsy. Therefore, there is a need to develop methods to enrich for specific EV subtypes, based on their cells of origin. Here we describe the development of an automated method to enrich tumor-derived EVs from plasma using the CellSearch technology compared to Total EVs isolated using differential ultracentrifugation (DUC). We use a modified CellSearch protocol to enrich EpCAM+ EVs from the plasma of patients with non-small cell lung carcinoma (NSCLC) and triple negative breast cancer (TNBC). As a test case, we examined PD-L1, an immune checkpoint ligand known to be expressed in some tumor tissues, to demonstrate enrichment for EpCAM+ EVs. For this purpose, we developed two custom immunoassays utilizing the Simoa HD-1 analyzer (Quanterix) to detect PD-L1 in EVs and interrogate specific EV populations from human plasma. PD-L1 was present in Total EVs from the plasma of healthy individuals and cancer patients, since it is also expressed on several immune cells. However, EpCAM+ EVs were only detectable from the plasma of cancer patients, suggesting these are tumor-derived EVs. As low as 250 μL of plasma could be used to reliably detect PD-L1 from patient-derived EpCAM+ EVs. In summary, this report demonstrates the development of a robust tumor-derived EV enrichment method from human blood. Furthermore, this proof-of-concept study is extendable to other known cancer-specific proteins expressed on EVs exuded from tumors.
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http://dx.doi.org/10.1016/j.jim.2020.112936 | DOI Listing |
PLoS One
December 2024
Department of Surgery, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.
Nanomaterials (Basel)
October 2024
Department of Chemistry, The University of Memphis, Memphis, TN 38152, USA.
Single-vesicle molecular profiling of cancer-associated extracellular vesicles (EVs) is increasingly being recognized as a powerful tool for cancer detection and monitoring. Mask and target dual imaging is a facile method to quantify the fraction of the molecularly targeted population of EVs in biofluids at the single-vesicle level. However, accurate and efficient dual imaging vesicle analysis has been challenging due to the interference of false signals on the mask images and the need to analyze a large number of images in clinical samples.
View Article and Find Full Text PDFCureus
September 2024
Neurosurgery, Emergency Clinical County Hospital Of Targu Mures, Targu Mures, ROU.
Glioblastoma (GB) is the most common brain malignancy occurring in adult patients having an extremely low overall survival. Therefore, it is paramount to establish reliable and accurate diagnostic and prognostic markers to guide a personalized and more effective treatment. Molecular characterization of the tumor is the ultimate goal in GB management and comprises, among others, the study of the extracellular vesicles (EVs).
View Article and Find Full Text PDFBiosens Bioelectron
January 2025
Department of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA; Department of Aerospace and Mechanical Engineering, University of Notre Dame, Notre Dame, IN, 46556, USA. Electronic address:
Accurate, multiplex, and ultrasensitive measurement of different colocalized protein markers on individual tumor-derived extracellular vesicles (EVs) and dimerized proteins with multiple epitopes could provide insights into cancer heterogeneity, therapy management and early diagnostics that cannot be extracted from bulk methods. However, current digital protein assays lack certain features to enable robust colocalization, including multi-color detection capability, large dynamic range, and selectivity against background proteins. Here, we report a lithography-free, inexpensive (< $0.
View Article and Find Full Text PDFAnal Chem
September 2024
State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China.
PD-L1-positive extracellular vesicles (PD-L1 EVs) play a pivotal role as predictive biomarkers in cancer immunotherapy. These vesicles, originating from immune cells (I-PD-L1 EVs) and tumor cells (T-PD-L1 EVs), hold distinct clinical predictive values, emphasizing the importance of deeply differentiating the PD-L1 EV subtypes for effective liquid biopsy analyses. However, current methods such as ELISA lack the ability to differentiate their cellular sources.
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