Urinary endogenous peptides as biomarkers for prostate cancer

• Autor(a) principal: Dutra, Cristine de Souza
• Data de Publicação: 2023
• Outros Autores: Schafhauser, Deborah da Cruz, Hentz, Mariana, Mayer, Nicole Raupp, Pinheiro, Raiane Medeiros, Baierle, Gabriela, Kist, Djulia Rafaella, Bullé, Danielly Joani, Donaduzzi, Rodrigo Cattelan, Bohmgahren, Marcus Falcão, Zaha, Arnaldo, Ferreira, Henrique Bunselmeyer, Possuelo, Lia Gonçalves, Monteiro, Karina Mariante
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFRGS
• Texto Completo: http://hdl.handle.net/10183/267855
• topic: Neoplasias da próstata; Biomarcadores; Endogenous peptides; Mass spectrometry

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.