Citations 233

Administrative Data Sets are Inaccurate for Assessing Functional Outcomes After Radical Prostatectomy

Journal of Urology | March 24, 2011 | Volume: 185 | Issue: 5 | Pages: 1686-1690

10.1016/j.juro.2010.12.039 | PMID 21419458

The Ability of Biomarkers to Predict Systemic Progression in Men with High-Risk Prostate Cancer Treated Surgically Is Dependent on ERG Status

Cancer Research | November 10, 2010 | Volume: 70 | Issue: 22 | Pages: 8994-9002

10.1158/0008-5472.can-10-1358 | PMID 21062978

Abstract The objective of this study was to assess the relationship of the tumor protein levels of TOP2A and MIB-1 and ERG status with cancer-specific outcomes in men with high-risk prostate cancer treated by radical prostatectomy (RP). A 150-pair case-control study was designed from RP patients who developed systemic progression (SP) within 6 years of RP (cases) and men who were free of disease at least 8 years after RP (controls). The cases and controls were matched on conventional prognostic clinical parameters. TOP2A and MIB-1 levels were assessed by immunohistochemical methods, and ERG status was assessed by quantitative reverse transcription-PCR. The prognostic abilities of TOP2A and MIB-1 were significantly better in ERG(−) patients, and TOP2A was superior to MIB-1. In receiver operating characteristic analysis, the TOP2A and MIB-1 scores exhibited AUCs of 0.81 and 0.78 for ERG(−) patients, versus 0.67 and 0.68 for ERG(+) patients, respectively. Clinical parameters attained an AUC of 0.65 in ERG(−) patients and 0.54 in ERG(+) patients. When both markers were incorporated into a model for ERG(−) patients, the AUC increased to 0.83, with TOP2A showing a stronger association with SP than MIB-1. The time to SP was significantly associated with TOP2A; higher 5-year SP rates were observed in patients with higher TOP2A protein levels. In addition, although patient numbers are small, the response to adjuvant androgen deprivation therapy is associated with ERG status, showing more significant treatment effect in ERG(+) patients. Cancer Res; 70(22); 8994–9002. ©2010 AACR.
Lifelong Yearly Prostate Specific Antigen Surveillance is Not Necessary for Low Risk Prostate Cancer Treated With Radical Prostatectomy

Journal of Urology | July 21, 2010 | Volume: 184 | Issue: 3 | Pages: 925-929

10.1016/j.juro.2010.05.043 | PMID 20643452

The Association Between Statin Use and the Diagnosis of Prostate Cancer in a Population Based Cohort

Journal of Urology | June 18, 2010 | Volume: 184 | Issue: 2 | Pages: 494-500

10.1016/j.juro.2010.03.149 | PMID 20620405

Vitamins and Prostate Cancer Risk

Molecules | March 14, 2010 | Volume: 15 | Issue: 3 | Pages: 1762-1783

10.3390/molecules15031762 | PMID 20336012

Prostate cancer (PC) is the second most common cancer in men worldwide. Its prevention and treatment remain a challenge to clinicians. Here we review the relationship of vitamins to PC risk. Many vitamins and related chemicals, including vitamin A, retinoids, several B vitamins, vitamin C, vitamin D and vitamin E have shown their anti-cancer activities as anti-oxidants, activators of transcription factors or factors influencing epigenetic events. Although laboratory tests including the use of animal models showed these vitamins may have anti-PC properties, whether they can effectively prevent the development and/or progression of PC in humans remains to be intensively studied subjects. This review will provide up-to-date information regarding the recent outcomes of laboratory, epidemiology and/or clinical trials on the effects of vitamins on PC prevention and/or treatment.
The Impact of Positive Surgical Margins on Mortality Following Radical Prostatectomy During the Prostate Specific Antigen Era

Journal of Urology | January 22, 2010 | Volume: 183 | Issue: 3 | Pages: 1003-1009

10.1016/j.juro.2009.11.039 | PMID 20092854

Radiation Therapy After Radical Prostatectomy: Impact on Metastasis and Survival

Journal of Urology | October 17, 2009 | Volume: 182 | Issue: 6 | Pages: 2708-2715

10.1016/j.juro.2009.08.027 | PMID 19836762

Personalized Prediction of Tumor Response and Cancer Progression on Prostate Needle Biopsy

Journal of Urology | May 18, 2009 | Volume: 182 | Issue: 1 | Pages: 125-132

10.1016/j.juro.2009.02.135 | PMID 19450827

The Impact of Discordance Between Biopsy and Pathological Gleason Scores on Survival After Radical Prostatectomy

Journal of Urology | December 17, 2008 | Volume: 181 | Issue: 1 | Pages: 95-104

10.1016/j.juro.2008.09.016 | PMID 19012937

Gene Panel Model Predictive of Outcome in Men at High-Risk of Systemic Progression and Death From Prostate Cancer After Radical Retropubic Prostatectomy

Journal of Clinical Oncology | August 18, 2008 | Volume: 26 | Issue: 24 | Pages: 3930-3936

10.1200/jco.2007.15.6752 | PMID 18711181

Purpose In men who are at high-risk of prostate cancer, progression and death from cancer after radical retropubic prostatectomy (RRP), limited prognostic information is provided by established prognostic features. The objective of this study was to develop a model predictive of outcome in this group of patients. Methods Candidate genes were identified from microarray expression data from 102 laser capture microdissected prostate tissue samples. Candidates were overexpressed in tumor compared with normal prostate and more frequently in Gleason patterns 4 and 5 than in 3. A case control study of 157 high-risk patients, matched on Gleason score and stage with systemic progression or death of prostate cancer as the end point, was used to evaluate the expression of candidate genes and build a multivariate model. Tumor was collected from the highest Gleason score in paraffin-embedded blocks and the gene expression was quantified by real-time reverse transcription polymerase chain reaction. Validation of the final model was performed on a separate case-control study of 57 high-risk patients who underwent RRP. Results A model incorporating gene expression of topoisomerase-2a, cadherin-10, the fusion status based on ERG, ETV1, and ETV4 expression, and the aneuploidy status resulted in a 0.81 area under the curve (AUC) in receiver operating characteristic statistical analysis for the identification of men with systemic progression and death from high grade prostate cancer. The AUC was 0.79 in the independent validation study. Conclusion The model can identify men with high-risk prostate cancer who may benefit from more intensive postoperative follow-up and adjuvant therapies.