التفاصيل البيبلوغرافية
| العنوان: |
Detection and Investigation of Extracellular Vesicles in Serum and Urine Supernatant of Prostate Cancer Patients. |
| المؤلفون: |
Salvi, Samanta, Bandini, Erika, Carloni, Silvia, Casadio, Valentina, Battistelli, Michela, Salucci, Sara, Erani, Ilaria, Scarpi, Emanuela, Gunelli, Roberta, Cicchetti, Giacomo, Guescini, Michele, Bonafè, Massimiliano, Fabbri, Francesco, Zamarchi, Rita |
| المصدر: |
Diagnostics (2075-4418); Mar2021, Vol. 11 Issue 3, p466, 1p |
| مصطلحات موضوعية: |
EXTRACELLULAR vesicles, PROSTATE cancer patients, BENIGN prostatic hyperplasia, URINE, PROSTATE cancer |
| مستخلص: |
Prostate Cancer (PCa) is one of the most frequently identified urological cancers. PCa patients are often over-diagnosed due to still not highly specific diagnostic methods. The need for more accurate diagnostic tools to prevent overestimated diagnosis and unnecessary treatment of patients with non-malignant conditions is clear, and new markers and methods are strongly desirable. Extracellular vesicles (EVs) hold great promises as liquid biopsy-based markers. Despite the biological and technical issues present in their detection and study, these particles can be found highly abundantly in the biofluid and encompass a wealth of macromolecules that have been reported to be related to many physiological and pathological processes, including cancer onset, metastasis spreading, and treatment resistance. The present study aims to perform a technical feasibility study to develop a new workflow for investigating EVs from several biological sources. Serum and urinary supernatant EVs of PCa, benign prostatic hyperplasia (BPH) patients, and healthy donors were isolated and investigated by a fast, easily performable, and cost-effective cytofluorimetric approach for a multiplex detection of 37 EV-antigens. We also observed significant alterations in serum and urinary supernatant EVs potentially related to BPH and PCa, suggesting a potential clinical application of this workflow. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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