Improved Prediction of Disease Relapse after Radical Prostatectomy through a Panel of Preoperative Blood-Based Biomarkers
Open Access
- 15 June 2008
- journal article
- research article
- Published by American Association for Cancer Research (AACR) in Clinical Cancer Research
- Vol. 14 (12) , 3785-3791
- https://doi.org/10.1158/1078-0432.ccr-07-4969
Abstract
Purpose: The preoperative blood levels of biomarkers may allow accurate identification of patients who are likely to fail radical prostatectomy as a first-line therapy for localized prostate cancer, thereby allowing more efficient delivery of neoadjuvant and adjuvant therapy. The aim of this study was to determine the added value of biomarkers relative to established predictors of biochemical recurrence, such as clinical stage, biopsy Gleason sum, and preoperative prostate-specific antigen. Experimental Design: The preoperative plasma levels of transforming growth factor-β1 (TGF-β1), interleukin-6 (IL-6), soluble IL-6 receptor (sIL-6R), vascular endothelial growth factor (VEGF), vascular cell adhesion molecule-1 (VCAM-1), endoglin, urokinase-type plasminogen activator (uPA), plasminogen activator inhibitor-1, and uPA receptor were measured with the use of commercially available enzyme immunoassays in 423 consecutive patients treated with radical prostatectomy and bilateral lymphadenectomy for clinically localized prostate cancer. Multivariable models were used to explore the gain in the predictive accuracy of the models. This predictive accuracy was quantified by the concordance index statistic and was validated with 200 bootstrap resamples. Results: In standard multivariable analyses, TGF-β1 (P < 0.001), sIL-6R (P < 0.001), IL-6 (P < 0.001), VCAM-1 (P < 0.001), VEGF (P = 0.008), endoglin (P = 0.002), and uPA (P < 0.001) were associated with biochemical recurrence. The multivariable model containing standard clinical variables alone had an accuracy of 71.6%. The addition of TGF-β1, sIL-6R, IL-6, VCAM-1, VEGF, endoglin, and uPA increased the predictive accuracy by 15% to 86.6% (P < 0.001) and showed excellent calibration. Conclusions: A nomogram based on these biomarkers improves the accuracy of standard predictive models and could help counsel patients about their risk of biochemical recurrence following radical prostatectomy.Keywords
This publication has 43 references indexed in Scilit:
- Tumour volume and high grade tumour volume are the best predictors of pathologic stage and biochemical recurrence after radical prostatectomyEuropean Journal Of Cancer, 2007
- Association of the Circulating Levels of the Urokinase System of Plasminogen Activation With the Presence of Prostate Cancer and Invasion, Progression, and MetastasisJournal of Clinical Oncology, 2007
- Cancer Statistics, 2007CA: A Cancer Journal for Clinicians, 2007
- Vascular Endothelial Growth Factor (VEGF) PathwayJournal of Thoracic Oncology, 2006
- Utility of Prostate-Specific Antigen Kinetics in Addition to Clinical Factors in the Selection of Patients for Salvage Local TherapyJournal of Clinical Oncology, 2005
- When and how to use informatics tools in caring for urologic patientsNature Reviews Endocrinology, 2005
- Association of Preoperative Plasma Levels of Vascular Endothelial Growth Factor and Soluble Vascular Cell Adhesion Molecule-1 With Lymph Node Status and Biochemical Progression After Radical ProstatectomyJournal of Clinical Oncology, 2004
- Association of Pre- and Postoperative Plasma Levels of Transforming Growth Factor β1 and Interleukin 6 and Its Soluble Receptor with Prostate Cancer ProgressionClinical Cancer Research, 2004
- Specific Inhibition of Vascular Cell Adhesion Molecule-1 Expression by Type-IV Collagen in Endothelial CellsBiochemical and Biophysical Research Communications, 1995
- Evaluating the yield of medical testsJAMA, 1982