Insignificant disease among men with intermediate-risk prostate cancer Journal Article


Authors: Hong, S. K.; Vertosick, E.; Sjoberg, D. D.; Scardino, P. T.; Eastham, J. A.
Article Title: Insignificant disease among men with intermediate-risk prostate cancer
Abstract: Purpose: A paucity of data exists on the insignificant disease potentially suitable for active surveillance (AS) among men with intermediate-risk prostate cancer (PCa). We tried to identify pathologically insignificant disease and its preoperative predictors in men who underwent radical prostatectomy (RP) for intermediate-risk PCa. Methods: We analyzed data of 1,630 men who underwent RP for intermediate-risk disease. Total tumor volume (TTV) data were available in 332 men. We examined factors associated with classically defined pathologically insignificant cancer (organ-confined disease with TTV ≤0.5 ml with no Gleason pattern 4 or 5) and pathologically favorable cancer (organ-confined disease with no Gleason pattern 4 or 5) potentially suitable for AS. Decision curve analysis was used to assess clinical utility of a multivariable model including preoperative variables for predicting pathologically unfavorable cancer. Results: In the entire cohort, 221 of 1,630 (13.6 %) total patients had pathologically favorable cancer. Among 332 patients with TTV data available, 26 (7.8 %) had classically defined pathologically insignificant cancer. Between threshold probabilities of 20 and 40 %, decision curve analysis demonstrated that using multivariable model to identify AS candidates would not provide any benefit over simply treating all men who have intermediate-risk disease with RP. Conclusion: Although a minority of patients with intermediate-risk disease may harbor pathologically favorable or insignificant cancer, currently available conventional tools are not sufficiently able to identify those patients.
Keywords: prediction; prostatic neoplasms; prostate; intermediate risk; insignificant
Journal Title: World Journal of Urology
Volume: 32
Issue: 6
ISSN: 0724-4983
Publisher: Springer  
Date Published: 2014-12-01
Start Page: 1417
End Page: 1421
Language: English
DOI: 10.1007/s00345-014-1413-3
PROVIDER: scopus
PUBMED: 25261260
PMCID: PMC4558555
DOI/URL:
Notes: Export Date: 2 January 2015 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Peter T Scardino
    671 Scardino
  2. Daniel D. Sjoberg
    234 Sjoberg
  3. James Eastham
    537 Eastham
  4. Sung Kyu Hong
    3 Hong
  5. Emily Vertosick
    134 Vertosick