Faculty Collaboration Database

Impact of ultrahigh baseline PSA levels on biochemical and clinical outcomes in two Radiation Therapy Oncology Group prostate clinical trials. Int J Radiat Oncol Biol Phys 2011 Jun 01;80(2):445-52

Date

07/10/2010

Pubmed ID

20615632

Pubmed Central ID

PMC2952349

DOI

10.1016/j.ijrobp.2010.02.034

Scopus ID

2-s2.0-79955578017 (requires institutional sign-in at Scopus site)   14 Citations

Abstract

PURPOSE: To assess ultrahigh (UH; prostate-specific antigen [PSA] levels ≥50 ng/ml) patient outcomes by comparison to other high-risk patient outcomes and to identify outcome predictors.

METHODS AND MATERIALS: Prostate cancer patients (PCP) from two Phase III Radiation Therapy Oncology Group clinical trials (studies 9202 and 9413) were divided into two groups: high-risk patients with and without UH baseline PSA levels. Predictive variables included age, Gleason score, clinical T stage, Karnofsky performance score, and treatment arm. Outcomes included overall survival (OS), distant metastasis (DM), and biochemical failure (BF). Unadjusted and adjusted hazard ratios (HRs) were calculated using either the Cox or Fine and Gray's regression model with associated 95% confidence intervals (CI) and p values.

RESULTS: There were 401 patients in the UH PSA group and 1,792 patients in the non-UH PSA PCP group of a total of 2,193 high-risk PCP. PCP with UH PSA were found to have inferior OS (HR, 1.19; 95% CI, 1.02-1.39, p = 0.02), DM (HR, 1.51; 95% CI, 1.19-1.92; p = 0.0006), and BF (HR, 1.50; 95% CI, 1.29-1.73; p < 0.0001) compared to other high-risk PCP. In the UH cohort, PSA level was found to be a significant factor for the risk of DM (HR, 1.01; 95% CI, 1.001-1.02) but not OS and BF. Gleason grades of 8 to 10 were found to consistently predict for poor OS, DM, and BF outcomes (with HR estimates ranging from 1.41-2.36) in both the high-risk cohort and the UH cohort multivariable analyses.

CONCLUSIONS: UH PSA levels at diagnosis are related to detrimental changes in OS, DM, and BF. All three outcomes can be modeled by various combinations of all predictive variables tested.

Author List

Rodrigues G, Bae K, Roach M, Lawton C, Donnelly B, Grignon D, Hanks G, Porter A, Lepor H, Sandler H

MESH terms used to index this publication - Major topics in bold

Aged
Aged, 80 and over
Androgen Antagonists
Humans
Karnofsky Performance Status
Male
Middle Aged
Neoplasm Staging
Prostate-Specific Antigen
Prostatic Neoplasms
Regression Analysis
Survival Analysis
Treatment Outcome