Association of Urinary MyProstateScore, Age, and Prostate Volume in a Longitudinal Cohort of Healthy Men: Long-term Findings from the Olmsted County Study

Autor: Jeffrey J. Tosoian, Rodney L. Dunn, Yashar S. Niknafs, Anjan Saha, Randy A. Vince, Jr, Jennifer L. St. Sauver, Debra J. Jacobson, Michaela E. McGree, Javed Siddiqui, Jack Groskopf, Steven J. Jacobsen, Scott A. Tomlins, Lakshmi P. Kunju, Todd M. Morgan, Simpa S. Salami, John T. Wei, Arul M. Chinnaiyan, Aruna V. Sarma
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: European Urology Open Science, Vol 29, Iss , Pp 30-35 (2021)
Druh dokumentu: article
ISSN: 2666-1683
DOI: 10.1016/j.euros.2021.04.009
Popis: Background: Serum prostate-specific antigen (PSA), used in prostate cancer screening, is nonspecific for cancer and is affected by age and prostate volume. More specific biomarkers could be more accurate for early detection of prostate cancer and reduce unnecessary prostate biopsies. Objective: To evaluate the association of age and prostate volume with urinary MyProstateScore (MPS) in a screened, longitudinal cohort without evidence of prostate cancer. Design, setting, and participants: The Olmsted County Study included men aged 40–79 yr who underwent biennial prostate cancer screening. PSA ≥4.0 ng/ml or abnormal rectal examination triggered prostate biopsy, and patients with cancer were excluded. The remaining men submitted urinary specimens for PCA3 and TMPRSS2:ERG testing. Outcome measurements and statistical analysis: MPS was calculated using the validated, locked model for grade group ≥2 cancer that includes serum PSA, urinary PCA3, and urinary TMPRSS2:ERG. The associations of age and volume with biomarkers were assessed in multivariable regression models. The t statistic was used to quantify the strength of associations independent of the unit of measurement, and R2 values were used to estimate the proportion of biomarker variance explained by each factor. Results and limitations: The study included 314 screened men without evidence of cancer. In multivariable models including age and volume, PCA3 score was significantly associated with age (t = 7.51; p
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