De Souza Dutra Cristine, Da Cruz Schafhauser Deborah, Hentz Mariana, Mayer Nicole Raupp, Pinheiro Raiane Medeiros, Baierle Gabriele, Kist Djulia Rafaella, Bullé Danielly Joani, Donaduzzi Rodrigo Cattelan, Bohmgahren Marcus Falcão, Zaha Arnaldo, Ferreira Henrique Bunselmeyer, Possuelo Lia Gonçalves, Monteiro Karina Mariante
Laboratory of Structural and Functional Genomics, Biotechnology Center, Federal University of Rio Grande do Sul, Porto Alegre, RS, 91501-970, Brazil.
Department of Life Sciences, University of Santa Cruz do Sul, Santa Cruz do Sul, RS, 96815-900, Brazil.
Oncol Lett. 2023 Mar 14;25(4):173. doi: 10.3892/ol.2023.13759. eCollection 2023 Apr.
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 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 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.
前列腺癌(PCa)是全球男性中最常见的癌症类型之一;然而,现有的主要前列腺癌诊断测试存在局限性,需要进行活检以进行疾病的组织病理学确认。前列腺特异性抗原(PSA)是用于前列腺癌早期检测的主要生物标志物,但血清浓度升高并非癌症特异性的。因此,需要发现能够准确诊断前列腺癌的新型非侵入性生物标志物。本研究使用三氯乙酸诱导的蛋白质沉淀和液相色谱 - 质谱法对前列腺癌患者(n = 33)、良性前列腺增生患者(n = 25)和健康个体(n = 28)的尿液样本中的内源性肽进行分析。进行了受试者工作特征曲线分析以评估尿肽的诊断性能。此外,使用Proteasix工具预测蛋白酶切割位点。结果显示,来自尿调节蛋白的五种尿肽在研究组之间有显著变化,在前列腺癌组中含量均较低。该肽组在区分研究组方面具有很高的潜力,曲线下面积(AUC)值在0.788至0.951之间。此外,尿肽在区分恶性和良性前列腺疾病方面优于PSA(AUC = 0.847),具有高灵敏度(81.82%)和特异性(88%)。通过分析,确定蛋白酶HTRA2、KLK3、KLK4、KLK14和MMP25可能参与前列腺癌患者尿液中尿调节蛋白肽的降解。总之,本研究鉴定出了具有用作前列腺癌诊断非侵入性生物标志物潜力的尿肽。