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Abstract
Aim: To assess the predictive value of metabolomic analysis for the presence of prostate cancer (PCa) at first systematic biopsy. Patients & methods: Ninety serum samples from patients with suspicion for PCa were included. Targeted and nontargeted metabolomic analysis was performed. Results: Six metabolites were combined into a predictive score. A cutoff value of 0.528 for the metabolomic score showed a good accuracy for the prediction of PCa at biopsy (Area under the curve (AUC): 0.779; p < 0.001). These results were validated in a subgroup of patients, showing similar accuracy (p = 0.1). For patients with prostate specific antigen (PSA) less than 10 ng/ml, the score showed a Se 80.95%, Sp 64.52% for the detection of PCa at biopsy. Conclusion: Metabolomic analysis can predict the outcome of the first systematic biopsy.
Supplementary data
To view the supplementary data that accompany this paper please visit the journal website at: www.futuremedicine.com/doi/full/10.2217/fon-2017-0078
Financial & competing interests disclosure
The authors have no relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.
No writing assistance was utilized in the production of this manuscript.
Ethical conduct of research
The authors state that they have obtained appropriate institutional review board approval or have followed the principles outlined in the Declaration of Helsinki for all human or animal experimental investigations. In addition, for investigations involving human subjects, informed consent has been obtained from the participants involved.