Urinary endogenous peptides as biomarkers for prostate cancer

Prostate cancer (PCa) is one of the most prevalent types of cancer in men worldwide; however, the main diagnostic tests available for PCa have limitations and a biopsy is required for histopathological confirmation of the disease. Prostate-specific antigen (PSA) is the main biomarker used for the ea...

Full description

Saved in:
Bibliographic Details
Published in:Oncology letters Vol. 25; no. 4; p. 1
Main Authors: Dutra, Cristine De Souza, Schafhauser, Deborah Da Cruz, Hentz, Mariana, Mayer, Nicole Raupp, Pinheiro, Raiane Medeiros, Baierle, Gabriele, Kist, Djulia Rafaella, Bulle, Danielly Joani, Donaduzzi, Rodrigo Cattelan, Bohmgahren, Marcus Falcao, Zaha, Arnaldo, Ferreira, Henrique Bunselmeyer, Possuelo, Lia Goncalves, Monteiro, Karina Mariante
Format: Journal Article
Language:English
Published: Athens Spandidos Publications 01-04-2023
Spandidos Publications UK Ltd
D.A. Spandidos
Subjects:
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Prostate cancer (PCa) is one of the most prevalent types of cancer in men worldwide; however, the main diagnostic tests available for PCa have limitations and a biopsy is required for histopathological confirmation of the disease. Prostate-specific antigen (PSA) is the main biomarker used for the early detection of PCa, but an elevated serum concentration is not cancer-specific. Therefore, there is a need for the discovery of new non-invasive biomarkers that can accurately diagnose PCa. The present study used trichloroacetic acid-induced protein precipitation and liquid chromatography-mass spectrometry to profile endogenous peptides in urine samples from patients with PCa (n=33), benign prostatic hyperplasia (n=25) and healthy individuals (n=28). Receiver operating characteristic curve analysis was performed to evaluate the diagnostic performance of urinary peptides. In addition, Proteasix tool was used for in silico prediction of protease cleavage sites. Five urinary peptides derived from uromodulin were revealed to be significantly altered between the study groups, all of which were less abundant in the PCa group. This peptide panel showed a high potential to discriminate between the study groups, resulting in area under the curve (AUC) values between 0.788 and 0.951. In addition, urinary peptides outperformed PSA in discriminating between malignant and benign prostate conditions (AUC=0.847), showing high sensitivity (81.82%) and specificity (88%). From in silico analyses, the proteases HTRA2, KLK3, KLK4, KLK14 and MMP25 were identified as potentially involved in the degradation of uromodulin peptides in the urine of patients with PCa. In conclusion, the present study allowed the identification of urinary peptides with potential for use as non-invasive biomarkers in PCa diagnosis.
ISSN:1792-1074
1792-1082
DOI:10.3892/ol.2023.13759