About this trial
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.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Signing of a specific informed consent for participation to the study
Female sex
Diagnosis of breast cancer
Any TNM stage
Disqualifiers
None
Trial population
* Population 1: female patients diagnosed with breast cancer, at any TNM stage, who are candidate to neoadjuvant treatment. * Population 2: a control group of sex and age matched healthy volunteers, not affected by breast cancer (with negative mammography, breast ultrasound or clinical breast examination within 12 months of the study enrolment).
Trial design
Case-control
Prospective
Treatments tested in this trial
Not listed
Trial groups
Trial outcomes
Primary outcomes
EVs levels
Measurement of plasma EVs levels (by Simoa-Elisa) in BC patients at the moment of diagnosis and comparison between EVs concentration in BC patients' and healthy controls.
EVs levels in time
Evaluation of tumor-related EVs as predictive markers of neoadjuvant treatment efficacy in BC patients. This will be conducted comparing EVs level during different collected times
Sponsors and contacts
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