Liquid Biopsy: a Tool for Better Understanding of the Metastatic Process Ecosystem

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Surface plasmon resonance imaging (SPRi) analysis of extracellular vesicles (EVs). (A) Schematic of a SPRi setup. A SPRi signal is generated when the sensor surface is illuminated at various angles with light and surface plasmons are excited (61). The resonance angle, specific angle (beam 2) where maximum plasmon excitation and minimal internal reflection occurs (62), depends on the refractive index contrast near the interface in the evanescent field. (B) The 48 spots on the SPRi sensor surface can be coated with different antibodies. In this example, only nine antibody-coated spots on the SPRi sensor surface are shown. (C) An EV sample is exposed to the SPRi sensor and measured for 60 min. The attachment of an ensemble of EVs to a specific antibody spot causes a change in the refractive index and generates a SPRi signal over time (16). (D) The SPRi signals after incubation with four prostate-cancer-derived EV samples are shown. The two CD63 clones show the same results for all samples. All samples are slightly positive for CD63, EGFR, and CD9. A higher positivity is seen for EpCAM and lactadherin. The SPRi signals for the 22RV1-EV sample are higher compared to the other samples (16).
Methods
04 June 2020
Cancer-ID: Toward Identification of Cancer by Tumor-Derived Extracellular Vesicles in Blood
L. G. Rikkert
21 more and 
L. W. M. M. Terstappen

Extracellular vesicles (EVs) have great potential as biomarkers since their composition and concentration in biofluids are disease state dependent and their cargo can contain disease-related information. Large tumor-derived EVs (tdEVs, >1 μm) in blood from cancer patients are associated with poor outcome, and changes in their number can be used to monitor therapy effectiveness. Whereas, small tumor-derived EVs (<1 μm) are likely to outnumber their larger counterparts, thereby offering better statistical significance, identification and quantification of small tdEVs are more challenging. In the blood of cancer patients, a subpopulation of EVs originate from tumor cells, but these EVs are outnumbered by non-EV particles and EVs from other origin. In the Dutch NWO Perspectief Cancer-ID program, we developed and evaluated detection and characterization techniques to distinguish EVs from non-EV particles and other EVs. Despite low signal amplitudes, we identified characteristics of these small tdEVs that may enable the enumeration of small tdEVs and extract relevant information. The insights obtained from Cancer-ID can help to explore the full potential of tdEVs in the clinic.

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