Newswire (Published: Tuesday, February 28, 2017, Received: Thursday, February 23, 2017, 9:54:41 PM CST)

Word Count: 483

Studies Conducted at University of Miami Miller School of Medicine on Prostate Cancer Recently Reported (Understanding PSA and its derivatives in prediction of tumor volume: Addressing health disparities in prostate cancer risk stratification)

By a News Reporter-Staff News Editor at Cancer Weekly -- Fresh data on Oncology - Prostate Cancer are presented in a new report. According to news reporting originating in Miami, Florida, by NewsRx journalists, research stated, "To address health disparities in risk stratification of U.S. Hispanic/Latino men by characterizing influences of prostate weight, body mass index, and race/ethnicity on the correlation of PSA derivatives with Gleason score 6 (Grade Group 1) tumor volume in a diverse cohort."

The news reporters obtained a quote from the research from the University of Miami Miller School of Medicine, "Using published PSA density and PSA mass density cutoff values, men with higher body mass indices and prostate weights were less likely to have a tumor volume <0.5 cm3. Variability across race/ethnicity was found in the univariable analysis for all PSA derivatives when predicting for tumor volume. In receiver operator characteristic analysis, area under the curve values for all PSA derivatives varied across race/ethnicity with lower optimal cutoff values for Hispanic/Latino (PSA=2.79, PSA density=0.06, PSA mass=0.37, PSA mass density=0.011) and Non-Hispanic Black (PSA=3.75, PSA density=0.07, PSA mass=0.46, PSA mass density=0.008) compared to Non-Hispanic White men (PSA=4.20, PSA density=0.11 PSA mass=0.53, PSA mass density=0.014). We retrospectively analyzed 589 patients with low-risk prostate cancer at radical prostatectomy. Pre-operative PSA, patient height, body weight, and prostate weight were used to calculate all PSA derivatives. Receiver operating characteristic curves were constructed for each PSA derivative per racial/ethnic group to establish optimal cutoff values predicting for tumor volume greater than or equal to0.5 cm3. Increasing prostate weight and body mass index negatively influence PSA derivatives for predicting tumor volume. PSA derivatives' ability to predict tumor volume varies significantly across race/ethnicity."

According to the news reporters, the research concluded: "Hispanic/Latino and Non-Hispanic Black men have lower optimal cutoff values for all PSA derivatives, which may impact risk assessment for prostate cancer."

For more information on this research see: Understanding PSA and its derivatives in prediction of tumor volume: Addressing health disparities in prostate cancer risk stratification. Oncotarget, 2017;(): (see also Oncology - Prostate Cancer).

Our news correspondents report that additional information may be obtained by contacting F.M. Chinea, Departments of Radiation Oncology, University of Miami Miller School of Medicine, Miami, FL, United States. Additional authors for this research include K. Lyapichev, J.I. Epstein, D. Kwon, P.T. Smith, A. Pollack, R.J. Cote and O.N Kryvenko.

Keywords for this news article include: Miami, Florida, Oncology, Cancer Risk, United States, Prostatic Neoplasms, Risk and Prevention, North and Central America, Metastatic Prostate Cancer.

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