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Dataset Information

Validation of diagnostic nomograms based on CE-MS urinary biomarkers to detect clinically significant prostate cancer.


ABSTRACT:

Purpose

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.

Methods

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 Sc

SUBMITTER: Frantzi M 

PROVIDER: S-EPMC9427869 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature