Sex steroid hormones in urinary exosomes as biomarkers for the prediction of prostate cancer

Abstract

Background: Although they are involved in the progression of PCa, the use of sex steroid hormones in urinary exosomes as biomarkers for PCa remains obscure. Here, the potential use of sex steroid hormones in urinary exosomes as biomarkers was investigated for the prediction of early-stage PCa to assist in clinical diagnosis.

Methods: Two hundred and eighty-six participants were randomly recruited, 231 patients with PCa and 55 healthy controls. According to their Gleason scores (GSs), the patients with PCa were divided into two groups, mild PCa (GS6) (n = 116) and severe (≥GS7) group (n = 115). The concentrations of 8 sex steroid hormones in urinary exosomes were quantitated using liquid chromatography tandem mass spectrometry with atmospheric pressure chemical ionization (LC-APCI-MS/MS).

Results: The results showed that the levels of 7 out of 8 sex steroids including dehydroepiandrosterone (DHEA), dehydroepiandrosteronesulfate (DHEAS), androstenedione (A4), testosterone (T), progesterone (P), dihydrotestosterone (DHT), and estrone (E1), but not estradiol (E2) in urinary exosomes, were not only distinguished the PCa patients from healthy controls, can also differentiate between patients with mild and severe PCa. Of the 8 selected urinary exosomal biomarkers, DHEA, DHEAS, T, and DHT were finally screened further to build the regression model, and the detection method of the 4 biomarkers-combined achieved an area under the ROC curve (AUC) of 0.854 and predictive accuracy of 78.2%.

Conclusion: Our data showed the use of exosomal sex steroids in urine could be as biomarkers for predicting PCa for the first time. This finding would supply a novel insight for PCa diagnosis.

Keywords: LC–MS/MS; Prediction; Prostate cancer; Sex steroids; Urinary exosomes.