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Prostate cancer (PC) afflicts millions of men worldwide. In Taiwan, around 5,000 men are diagnosed as PC while 1,200 men die of the disease each year. Although there is a significant advance in the definitive treatments of PC, the failure rate is still up to 40%. Androgen deprivation therapy (ADT) and chemotherapy (Chemo) are palliative and rarely curative. Immunotherapy brings on promise but is highly unpredictable. Thus, markers that predict treatment outcomes may help decision making and prompt early adjuvant or salvage therapy. Also, markers that mediate resistance to treatments may become druggable targets.
This is a prospective and observational clinical study investigating urine metabolites via metabolomics analysis in subjects who will undergo therapy for PC. The treatment modalities include radical prostatectomy (OP), prostate radiotherapy (RT), systemic Chemo, and ADT. The expected subject number to be enrolled is 360 men from NTUH. There will be 2 cohorts: training cohort (Cohort A, N=180), and validation cohort (Cohort B, N=180). Each cohort consists of patients treated with OP (N=50), RT (N=70), Chemo (N=30) and ADT (N=30). Cohort A will be recruited in the first 12 months of the study period to generate the first batch of urine metabolite profiles. Cohort B will be recruited in the second half of the study period to validate the first batch of newly developed urine metabolite profile.
Pre-treatment and post-treatment clinic-pathological parameters will be recorded. Group specific urine metabolite profiles will be constructed by comparing the outstanding metabolites between groups. These metabolite profiles are constructed so as to efficiently separate outcome groups, especially to predict subjects with good prognosis and response to the treatment. The newly constructed metabolite profiles will be validated against another cohort of subjects who will receive therapy for PC to determine the predictive efficiency of the constructed profiles. In addition, paraffin blocks of the prostate cancer will be used to identify progression markers for invasion and metastasis, as well as progression markers for castration-resistant PC.
Through a better understanding of the biology of PC, we hope to develop new markers/targets for more effective predicting outcomes of PC. In the meantime, we can also substantially develop a better decision-making tree of PC.
Using Urine Metabolomics Profiling to Search for Predictive and Prognostic Markers for Treatment Outcomes in Prostate Cancer Patients
No intervention required
Not yet recruiting
National Taiwan University Hospital
Published on BioPortfolio: 2017-08-03T13:23:21-0400
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