Extracellular vesicles (EVs) are lipid bilayer-delimited particles, naturally released from the cells and mediators of intercellular cross-talk. In breast cancer (BC), EVs seem to be involved in the tumor microenvironment's shaping, in cancer cells invasion and in the set-up of metastasis.
Clinical studies have provided initial evidence that EVs may have a prognostic and predictive value in breast cancer. Considering their presence in body fluids and their minimally invasive assessment through blood sampling, EVs could be liquid biopsy-derived biomarkers. Their quantification could be a complex challenge, requiring complicated and time-consuming pre-analytical procedures of EVs isolation.
A new method for the detection of tumor-derived-EVs associated proteins is based on the use of Single Molecule Array (SiMoA), a digital ELISA technology able to detect and quantify extremely low concentrations of target proteins or particles.
The aim of this study is to evaluate how this new technology can allow the quantification EVs plasma levels in patients affected by BC, providing useful diagnostic and prognostic information about the efficacy of the neoadjuvant treatment.
Signing of a specific informed consent for participation to the study
Female sex
Diagnosis of breast cancer
Any TNM stage
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