Predictors of delayed therapy after expectant management for localized prostate cancer in the era of prostate-specific antigen

Irene Panagiotou, Tomasz M. Beer, Yi Ching Hsieh, Motomi Mori, Laura Peters, Thomas Klein, Mark Garzotto

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

Objective: To identify risk factors for delayed cancer-directed intervention in modern era prostate cancer patients who initially elect expectant management. Materials and Methods: An observational, cohort study of expectantly managed patients, diagnosed with clinical T1-4N xM0 prostate cancer between 1993 and 2000 was carried out. Data including TNM stage, age, serum prostate-specific antigen (PSA), prostate gland volume by transrectal ultrasound, Gleason score, percent biopsies positive for cancer, imaging results, initial treatment selection, and outcome data were collected on all patients. Results: 192 of 561 patients (34.3%) elected expectant management, and follow-up data were available for 187 (97.4%) patients. With a median follow-up of 3.6 years, 90 (48.1%) patients had a cancer-directed intervention. Gleason score (p = 0.0097) and percent of positive biopsy cores (p = 0.03) were independent predictors of time to intervention. As expected, PSA doubling time became the most significant predictor of intervention (p = 0.0057) when added to the model. These independent covariates are able to characterize low-, intermediate- and high-risk groups for cancer-directed intervention. Conclusions: Cancer-directed intervention is common in patients who choose expectant management in the PSA era. Gleason score and percent of positive biopsy cores predict cancer-directed interventions, thus, these patients may be least suitable for expectant management.

Original languageEnglish (US)
Pages (from-to)194-202
Number of pages9
JournalOncology
Volume67
Issue number3-4
DOIs
StatePublished - Dec 7 2004

Keywords

  • Androgen deprivation
  • Expectant management
  • Prostate cancer
  • Treatment

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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