Publication: Validation of diagnostic nomograms based on CE-MS urinary biomarkers to detect clinically significant prostate cancer.
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Identifiers
Date
2022-06-09
Authors
Frantzi, Maria
Heidegger, Isabel
Roesch, Marie C
Gomez-Gomez, Enrique
Steiner, Eberhard
Vlahou, Antonia
Mullen, William
Guler, Ipek
Merseburger, Axel S
Mischak, Harald
Advisors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract
Prostate cancer (PCa) is one of the most common cancers and one of the leading causes of death worldwide. Thus, one major issue in PCa research is to accurately distinguish between indolent and clinically significant (csPCa) to reduce overdiagnosis and overtreatment. In this study, we aim to validate the usefulness of diagnostic nomograms (DN) to detect csPCa, based on previously published urinary biomarkers. Capillary electrophoresis/mass spectrometry was employed to validate a previously published biomarker model based on 19 urinary peptides specific for csPCa. Added value of the 19-biomarker (BM) model was assessed in diagnostic nomograms including prostate-specific antigen (PSA), PSA density and the risk calculator from the European Randomized Study of Screening. For this purpose, urine samples from 147 PCa patients were collected prior to prostate biopsy and before performing digital rectal examination (DRE). The 19-BM score was estimated via a support vector machine-based software based on the pre-defined cutoff criterion of - 0.07. DNs were subsequently developed to assess added value of integrative diagnostics. Independent validation of the 19-BM resulted in an 87% sensitivity and 65% specificity, with an AUC of 0.81, outperforming PSA (AUC PSA: 0.64), PSA density (AUC PSAD: 0.64) and ERSPC-3/4 risk calculator (0.67). Integration of 19-BM with the rest clinical variables into distinct DN, resulted in improved (AUC range: 0.82-0.88) but not significantly better performances over 19-BM alone. 19-BM alone or upon integration with clinical variables into DN, might be useful for detecting csPCa by decreasing the number of biopsies.
Description
MeSH Terms
Biomarkers
Biopsy
Digital rectal examination
Humans
Male
Nomograms
Prostate-specific antigen
Prostatic neoplasms
Biopsy
Digital rectal examination
Humans
Male
Nomograms
Prostate-specific antigen
Prostatic neoplasms
DeCS Terms
Antígeno prostático específico
Biomarcadores
Biopsia
Neoplasias de la próstata
Nomogramas
Tacto rectal
Biomarcadores
Biopsia
Neoplasias de la próstata
Nomogramas
Tacto rectal
CIE Terms
Keywords
Capillary electrophoresis, Non-invasive urine biomarker, Prostate cancer aggressivity, Urinary peptide marker
Citation
Frantzi M, Heidegger I, Roesch MC, Gomez-Gomez E, Steiner E, Vlahou A, Mullen W, et al. Validation of diagnostic nomograms based on CE-MS urinary biomarkers to detect clinically significant prostate cancer. World J Urol. 2022 Sep;40(9):2195-2203