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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
Published on: November 2, 2013
Prostate-specific antigen (PSA) density in the diagnostic algorithm of prostate cancer
Tobias Nordström1,2, Olof Akre3, Markus Aly4,3
1Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, S-171 77, Sweden. tobias.nordstrom@ki.se.
Prostate-specific antigen density (PSAd) can improve prostate cancer detection and reduce unnecessary biopsies. Using PSAd can help identify clinically significant cancers while sparing men from invasive procedures and overdiagnosis.
Area of Science:
- Urology
- Oncology
- Medical Diagnostics
Background:
- Prostate-specific antigen (PSA) screening alone leads to overdiagnosis and unnecessary biopsies.
- PSA density (PSAd) is accessible but lacks guideline recommendations due to conflicting early evidence.
Purpose of the Study:
- To evaluate the utility of PSA density in predicting clinically significant prostate cancer (csPCa).
- To assess the impact of incorporating PSAd into biopsy decision-making.
Main Methods:
- Analysis of biopsy outcomes in 5291 men from the STHLM3 study with PSA ≥ 3 ng/ml.
- Calculation of PSA density (total PSA divided by prostate volume).
- Endpoint: clinically significant cancer (Gleason Score ≥ 7).
Main Results:
- PSA density was significantly associated with csPCa risk (OR 1.06-1.07).
- Adding PSAd improved model discrimination for csPCa (AUC 0.75 vs. 0.73).
- Omitting biopsies for PSAd ≤ 0.07 ng/ml² could reduce procedures by 19.7% while missing 6.9% of csPCa.
Conclusions:
- PSA density can inform prostate biopsy decisions.
- Utilizing PSAd may spare men from unnecessary biopsies and diagnosis of low-grade prostate cancer.
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