Prospective trial of an herbal formula BYSH and Saw palmetto in patients with hormonal refractory prostate cancer: a pilot study.

OBJECTIVE: BYSH, a herbal formula, was evaluated for efficacy and safety in a pilot study for patients with advanced hormone refractory prostate cancer (HRPC). PATIENTS AND METHODS: The pilot study was designed as a single-center open-label trial. Patients with HRPC were treated with BYSH for 24 weeks. The primary end point was the changes in serum prostate-specific antigen (PSA) level. Safety parameters such as liver and renal functions were monitored during the study period. RESULTS: Ten patients were eligible for the study. Most of them had stable PSA levels while taking BYSH. However, at the end of the BYSH treatment, the level of PSA increased. The median survival from diagnosis of HRPC was 16.4 months. Liver and renal functions remained normal. BYSH was well tolerated and no patient reported adverse events during the study period. CONCLUSION: Although it is inappropriate to make a conclusion based on the pilot study results, the trend of improvement is obvious. Further investigations should be conducted to demonstrate its clinical benefits. We have also briefly reviewed some plant products which are patented and also available in market.

Application of Holistic Liquid Chromatography-High Resolution Mass Spectrometry Based Urinary Metabolomics for Prostate Cancer Detection and Biomarker Discovery.

Human exhibit wide variations in their metabolic profiles because of differences in genetic factors, diet and lifestyle. Therefore in order to detect metabolic differences between individuals robust analytical methods are required. A protocol was produced based on the use of Liquid Chromatography- High Resolution Mass Spectrometry (LC-HRMS) in combination with orthogonal Hydrophilic Interaction (HILIC) and Reversed Phase (RP) liquid chromatography methods for the analysis of the urinary metabolome, which was then evaluated as a diagnostic tool for prostate cancer (a common but highly heterogeneous condition). The LC-HRMS method was found to be robust and exhibited excellent repeatability for retention times (<±1%), and mass accuracy (<±1 ppm). Based on normalised data (against creatinine levels, osmolality or MS total useful signals/MSTUS) coupled with supervised multivariate analysis using Orthogonal Partial Least Square-Discriminant Analysis (OPLS-DA), we were able to discriminate urine samples from men with or without prostate cancer with R2Y(cum) >0.9. In addition, using the receiver operator characteristics (ROC) test, the area under curve (AUC) for the combination of the four best characterised biomarker compounds was 0.896. The four biomarker compounds were also found to differ significantly (P<0.05) between an independent patient cohort and controls. This is the first time such a rigorous test has been applied to this type of model. If validated, the established protocol provides a robust approach with a potentially wide application to metabolite profiling of human biofluids in health and disease.