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Evaluation of Semen Self-Sampling Yield Predictors and CTC Isolation by Multi-Color Flow Cytometry for Liquid Biopsy of Localized Prostate Cancer

Authors :
Cesare Saitta
Ilaria De Simone
Vittorio Fasulo
Marinella Corbetta
Stefano Duga
Chiara Chiereghin
Federico Simone Colombo
Alessio Benetti
Roberto Contieri
Pier Paolo Avolio
Alessandro Uleri
Alberto Saita
Giorgio Ferruccio Guazzoni
Rodolfo Hurle
Piergiuseppe Colombo
Nicolò Maria Buffi
Paolo Casale
Giovanni Lughezzani
Rosanna Asselta
Giulia Soldà
Massimo Lazzeri
Source :
Cancers; Volume 15; Issue 10; Pages: 2666
Publication Year :
2023
Publisher :
Multidisciplinary Digital Publishing Institute, 2023.

Abstract

Liquid biopsy (LB) for prostate cancer (PCa) detection could represent an alternative to biopsy. Seminal fluid (SF) is a source of PCa-specific biomarkers, as 40% of ejaculate derives from the prostate. We tested the feasibility of an SF-based LB by evaluating the yield of semen self-sampling in a cohort of >750 patients with clinically localized PCa. The overall SF collection yield was 18.2% (39% when considering only compliant patients), with about a half of the patients (53.15%) not consenting to SF donation. Independent favorable predictors for SF collection were younger age and lower prostate volume. We implemented a protocol to enrich prostate-derived cells by multi-color flow cytometry and applied it on SF and urine samples from 100 patients. The number of prostate-enriched cells (SYTO-16+ PSMA+ CD45−) was variable, with higher numbers of cells isolated from SF than urine (p value < 0.001). Putative cancer cells (EpCAMhigh) were 2% of isolated cells in both specimens. The fraction of EpCAMhigh cells over prostate-enriched cells (PSMA+) significantly correlated with patient age in both semen and urine, but not with other clinical parameters, such as Gleason Score, ISUP, or TNM stage. Hence, enumeration of prostate-derived cells is not sufficient to guide PCa diagnosis; additional molecular analyses to detect patient-specific cancer lesions will be needed.

Details

Language :
English
ISSN :
20726694
Database :
OpenAIRE
Journal :
Cancers; Volume 15; Issue 10; Pages: 2666
Accession number :
edsair.doi.dedup.....2506e076fb87d1af4b55968f68816aeb
Full Text :
https://doi.org/10.3390/cancers15102666