Diagnosis of Prostate Cancer through the Multi-Ligand Binding of Prostate-Derived Extracellular Vesicles and miRNA Analysis.

Autor: Zabegina L; Subcellular Technology Lab, Petrov National Medical Research Center of Oncology, 197758 Saint-Petersburg, Russia., Zyatchin I; Department of Oncology No. 6, Pavlov First Medical State University, 197022 Saint-Petersburg, Russia., Kniazeva M; Subcellular Technology Lab, Petrov National Medical Research Center of Oncology, 197758 Saint-Petersburg, Russia., Shalaev A; Subcellular Technology Lab, Petrov National Medical Research Center of Oncology, 197758 Saint-Petersburg, Russia., Berkut M; Surgical Department of Oncourology, Petrov National Medical Research Center of Oncology, 197758 Saint-Petersburg, Russia., Sharoyko V; Department of General and Bioorganic Chemistry, Pavlov First Medical State University, 197022 Saint-Petersburg, Russia., Mikhailovskii V; Interdisciplinary Resource Center for Nanotechnology, Saint-Petersburg State University, 199034 Saint-Petersburg, Russia., Kondratov K; Translational Medicine Laboratory, City Hospital No. 40, 197706 Saint-Petersburg, Russia., Reva S; Department of Oncology No. 6, Pavlov First Medical State University, 197022 Saint-Petersburg, Russia.; Surgical Department of Oncourology, Petrov National Medical Research Center of Oncology, 197758 Saint-Petersburg, Russia., Nosov A; Surgical Department of Oncourology, Petrov National Medical Research Center of Oncology, 197758 Saint-Petersburg, Russia., Malek A; Subcellular Technology Lab, Petrov National Medical Research Center of Oncology, 197758 Saint-Petersburg, Russia.; Oncosystem Ltd., 121205 Moscow, Russia.
Jazyk: angličtina
Zdroj: Life (Basel, Switzerland) [Life (Basel)] 2023 Mar 27; Vol. 13 (4). Date of Electronic Publication: 2023 Mar 27.
DOI: 10.3390/life13040885
Abstrakt: Background: The development of new non-invasive markers for prostate cancer (PC) diagnosis, prognosis, and management is an important issue that needs to be addressed to decrease PC mortality. Small extracellular vesicles (SEVs) secreted by prostate gland or prostate cancer cells into the plasma are considered next-generation diagnostic tools because their chemical composition might reflect the PC development. The population of plasma vesicles is extremely heterogeneous. The study aimed to explore a new approach for prostate-derived SEV isolation followed by vesicular miRNA analysis.
Methods: We used superparamagnetic particles functionalized by five types of DNA-aptamers binding the surface markers of prostate cells. Specificity of binding was assayed by AuNP-aptasensor. Prostate-derived SEVs were isolated from the plasma of 36 PC patients and 18 healthy donors and used for the assessment of twelve PC-associated miRNAs. The amplification ratio (amp-ratio) value was obtained for all pairs of miRNAs, and the diagnostic significance of these parameters was evaluated.
Results: The multi-ligand binding approach doubled the efficiency of prostate-derived SEVs' isolation and made it possible to purify a sufficient amount of vesicular RNA. The neighbor clusterization, using three pairs of microRNAs (miR-205/miR-375, miR-26b/miR375, and miR-20a/miR-375), allowed us to distinguish PC patients and donors with sensitivity-94%, specificity-76%, and accuracy-87%. Moreover, the amp-ratios of other miRNAs pairs reflected such parameters as plasma PSA level, prostate volume, and Gleason score of PC.
Conclusions: Multi-ligand isolation of prostate-derived vesicles followed by vesicular miRNA analysis is a promising method for PC diagnosis and monitoring.
Databáze: MEDLINE
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