Biomedical subjects

Pierre I Karakiewicz

Publications and source records attributed to Pierre I Karakiewicz.

74 records · Page 5Linked to original sources

PubMed2002

Percent free prostate specific antigen is not an independent predictor of organ confinement or prostate specific antigen recurrence in unscreened patients with localized prostate cancer treated with radical prostatectomy.

PURPOSE: We studied the controversial relationship of percent free prostate specific antigen (PSA) with organ confined prostate cancer and PSA failure after radical prostatectomy. MATERIALS AND METHODS: We tested the characteristics of the percent free PSA monoclonal Immulite DPC Immunoassay (Diagnostic Products Corp., Los Angeles, California) for predicting organ confinement in 698 consecutive unscreened men treated only with radical prostatectomy between 1995 and 2000. In addition, we assessed the ability of percent free PSA to predict post-radical prostatectomy PSA failure, defined as PSA 0.1 ng./ml. or greater, in a subset of 581 men in whom followup was available. All statistical analyses were repeated for stage T1c cancer with PSA between 2 and 10 ng./ml. RESULTS: On univariate analyses percent free PSA achieved significance for predicting organ confined disease at all clinical stages (p <0.001) and for stage T1c cancer with PSA between 2 and 10 ng./ml. (p = 0.012). However, significance dissipated after controlling for total PSA, biopsy Gleason sum and clinical stage (p = 0.135 and 0.851, respectively). In univariate Cox models percent free PSA failed to predict PSA failure across stages (p = 0.341), as well as in stage T1c cancer (p = 0.93). In multivariate analyses controlling for traditional PSA biopsy grade and clinical stage (p <0.001), percent free PSA failed to contribute to predicting PSA failure (p = 0.342). In the stage T1c subset biopsy Gleason sum (p <0.001) and PSA (p = 0.018) remained significant, in contrast to percent free PSA (p = 0.237). CONCLUSIONS: Percent free PSA has no independent, statistically significant association with organ confined status or posttreatment PSA outcome in unscreened patients who undergo radical prostatectomy for localized prostate cancer.

Humans↗

PubMedDate not supplied

A validation of two preoperative nomograms predicting recurrence following radical prostatectomy in a cohort of European men.

Kattan et al. at Baylor College of Medicine and D'Amico et al. at Harvard Medical School have each developed preoperative nomograms for prostate cancer recurrence after radical prostatectomy based on readily available clinical variables. Calibration and validation of those tools was achieved using North American patient cohorts, and their validity has not yet been shown in patients from other continents. We investigated the predictive accuracy of these nomograms when applied to European men with localized prostate cancer. Clinical data from patients who underwent radical prostatectomy at the University-Hospital Hamburg and fitted the respective derivation criteria were used for external validation (n = 1003 for the Kattan-Nomogram, n = 932 men for the D'Amico-Nomogram). Nomogram predictions of the probability for 2-years and 5-years freedom from recurrence predicted by the D'Amico-Nomogram and the Kattan-Nomogram respectively were compared with actual follow-up. The predictive accuracy of the nomograms was tested using areas under the receiver-operating-characteristic curves (AUC). The D'Amico-Nomogram AUC predicting 2-years probability of freedom from PSA recurrence was 0.80 vs. Kattan-Nomogram 5-years prediction with an AUC of 0.83. Using the 932 patients who exactly fit the derivation criteria of both nomograms, the predictive accuracy of the Kattan-Nomogram was 0.81. The superiority in predictive accuracy of the Kattan-Nomogram was statistically significant (p = 0.0274) but of unclear clinical significance. The two nomograms predicted recurrence with similar accuracy when applied to men diagnosed with localized prostate cancer in Germany. The high predictive accuracy of both nomograms demonstrates that these predictive tools derived in the U.S. can be applied to non-U.S. patients.

Cohort Studies↗