Publication:
CE-MS-based urinary biomarkers to distinguish non-significant from significant prostate cancer.

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Date

2019-04-16

Authors

Frantzi, Maria
Gomez Gomez, Enrique
Blanca Pedregosa, Ana
Valero Rosa, Jose
Latosinska, Agnieszka
Culig, Zoran
Merseburger, Axel S
Luque, Raul M
Requena Tapia, Maria Jose
Mischak, Harald

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Nature Publishing Group
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Abstract

Prostate cancer progresses slowly when present in low risk forms but can be lethal when it progresses to metastatic disease. A non-invasive test that can detect significant prostate cancer is needed to guide patient management. Capillary electrophoresis/mass spectrometry has been employed to identify urinary peptides that may accurately detect significant prostate cancer. Urine samples from 823 patients with PSA ( Independent validation of the 19-biomarker model in 280 patients resulted in a 90% sensitivity and 59% specificity, with an AUC of 0.81, outperforming PSA (AUC = 0.58) and the ERSPC-3/4 risk calculator (AUC = 0.69) in the validation set. This multi-parametric model holds promise to improve the current diagnosis of significant prostate cancer. This test as a guide to biopsy could help to decrease the number of biopsies and guide intervention. Nevertheless, further prospective validation in an external clinical cohort is required to assess the exact performance characteristics.

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MeSH Terms

Aged
Humans
Image-guided biopsy
Male
Mass spectrometry
Middle aged
Prostatic neoplasms
Support vector machine
Ultrasonography, interventional

DeCS Terms

Biopsia guiada por imagen
Espectrometría de masas
Máquina de vectores de soporte
Neoplasias de la próstata
Ultrasonografía Intervencional

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Keywords

Algorithms, Biomarkers, tumor, Case-control studies, Electrophoresis, capillary

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