Evaluation of Ki-67 Staining Levels as an Independent Biomarker of Biochemical Recurrence After Salvage Radiation Therapy for Prostate Cancer
- College of Medicine, Mayo Clinic Florida, Jacksonville, FL (United States)
- Mayo Clinic Rochester, Rochester, MN (United States)
- Mayo Clinic Arizona, Scottsdale, AZ (United States)
- University of Utah School of Medicine, Salt Lake City, UT (United States)
- Fox Chase Cancer Center, Philadelphia, PA (United States)
Purpose: We recently published a scoring algorithm to predict biochemical recurrence (BCR) after salvage radiation therapy (SRT) for prostate cancer. Currently, this algorithm is based on clinicopathologic features and does not incorporate information from tumor-based biomarkers. Herein, we evaluate the ability of Ki-67 staining in primary prostate cancer to independently aid in the prediction of BCR among men undergoing SRT. Methods and Materials: We identified 147 patients who were treated with SRT between July 1987 and July 2003 at Mayo Clinic (Rochester, MN; Jacksonville, FL; Scottsdale, AZ). Staining levels of Ki-67 in primary tumor samples were detected by use of a monoclonal antibody and quantified by use of a computer-assisted method. We used Cox proportional hazards models to examine the association of Ki-67 staining and BCR in single-variable models and after multivariable adjustment. Results: The risk of BCR for men with tumors in the highest tertile of Ki-67 staining is approximately two times that for men with tumors in the lower two tertiles (relative risk, 2.02; 95% confidence interval, 1.23-3.32; p = 0.005) after adjustment for the features in our original scoring algorithm. Further adjustment for additional covariates did not attenuate this association. Evidence from concordance index values supports that Ki-67 staining adds to the predictive ability of our existing scoring algorithm. Conclusions: Our data suggest that higher levels of Ki-67 staining are associated with increased risk of BCR after SRT, independent of existing clinicopathologic covariates. Future studies involving larger numbers of patients are required to validate these results and also explore possible means of combining this biomarker with existing prognostic tools.
- OSTI ID:
- 21367543
- Journal Information:
- International Journal of Radiation Oncology, Biology and Physics, Vol. 75, Issue 5; Other Information: DOI: 10.1016/j.ijrobp.2008.12.061; PII: S0360-3016(09)00032-7; Copyright (c) 2009 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; ISSN 0360-3016
- Country of Publication:
- United States
- Language:
- English
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