Identification of a biomarker panel for improvement of prostate cancer diagnosis by volatile metabolic profiling of urine.

ABSTRACT:

Background

The lack of sensitive and specific biomarkers for the early detection of prostate cancer (PCa) is a major hurdle to improve patient management.

Methods

A metabolomics approach based on GC-MS was used to investigate the performance of volatile organic compounds (VOCs) in general and, more specifically, volatile carbonyl compounds (VCCs) present in urine as potential markers for PCa detection.

Results

Results showed that PCa patients (n = 40) can be differentiated from cancer-free subjects (n = 42) based on their urinary volatile profile in both VOCs and VCCs models, unveiling significant differences in the levels of several metabolites. The models constructed were further validated using an external validation set (n = 18 PCa and n = 18 controls) to evaluate

SUBMITTER: Lima AR 

PROVIDER: S-EPMC6889512 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature