• The Journal of urology · Mar 2000

    Clinical Trial

    Predictors of first repeat biopsy cancer detection with suspected local stage prostate cancer.

    • J E Fowler, S A Bigler, D Miles, and D A Yalkut.
    • Department of Pathology, University of Mississippi School of Medicine and Section of Urology, Veterans Affairs Medical Center, Jackson, USA.
    • J. Urol. 2000 Mar 1; 163 (3): 813-8.

    PurposeWe determine demographic and tumor related predictors of repeat biopsy cancer detection in men with suspected stage T1c-2 prostate cancer.Materials And MethodsThe study population included 298 consecutive men with suspected stage T1c-2 prostate cancer who had a benign prostate biopsy at 1 institution between January 1, 1992 and April 1, 1999 and underwent 1 repeat biopsy. Mean age plus or minus standard deviation was 66.8+/-6.7 years for 133 black (55%) and 165 white (45%) patients. Clinical measures included determination of high grade prostatic intraepithelial neoplasia in benign biopsy specimens, Gleason score of malignant biopsy specimens, prostate specific antigen (PSA), PSA density, annualized interbiopsy PSA change, percent free PSA (201 cases) and PSA velocity (171).ResultsCancer was detected on repeat biopsy in 80 cases (27%). Significant differences between patients with benign and malignant repeat biopsies included age (p = 0.001), PSA density (p = 0.0001), percent free PSA (p = 0.0001) and PSA velocity (p = 0.009). High grade prostatic intraepithelial neoplasia in an initial benign biopsy was not predictive of cancer in repeat biopsy (p = 0.12). Multiple logistic regression analysis of all cases showed that age (p = 0.002) and PSA density (p = 0.0002) were independent predictors of cancer. Subset multiple logistic regression analysis modeled with age, PSA density and percent free PSA demonstrated that age (p = 0.002) and percent free PSA (p = 0.0001) were significant independent predictors of malignancy. Subset multiple logistic regression analysis modeled with age, PSA density, percent free PSA and PSA velocity revealed that age (p = 0.02) and percent free PSA (p = 0.0003) were significant independent predictors of cancer. There were no significant differences between the Gleason scores of cancers detected on repeat biopsy compared to 587 stage T1c-2 cancers detected on initial biopsy during the study period (p = 0.09). PSA, PSA density, percent free PSA and PSA velocity were not significantly different among men without a cancer diagnosis who had high grade neoplasia in 1 or 2 benign biopsies.ConclusionsGreater than 25% of this population of select patients with suspected stage T1c-2 prostate cancer had malignancy detected on repeat biopsy. Percent free PSA was the most powerful predictor of cancer. High grade prostatic intraepithelial neoplasia was not a predictor of repeat biopsy cancer detection and PSA functions were similar among men without cancer who did and did not have high grade neoplasia in 1 or more benign biopsies. This finding suggests that high grade prostatic intraepithelial neoplasia may not be a reliable indicator of clinically significant existing prostate cancer.

      Pubmed     Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…

What will the 'Medical Journal of You' look like?

Start your free 21 day trial now.

We guarantee your privacy. Your email address will not be shared.