Literature DB >> 23541563

Large-scale independent validation of the nuclear factor-kappa B p65 prognostic biomarker in prostate cancer.

Philippe O Gannon1, Laurent Lessard, Louis-Mathieu Stevens, Valérie Forest, Louis R Bégin, Sarah Minner, Pierre Tennstedt, Thorsten Schlomm, Anne-Marie Mes-Masson, Fred Saad.   

Abstract

PURPOSE: Over the last decade, we and others have uncovered a robust association between the nuclear localisation of nuclear factor-kappa B (NF-κB) p65, prostate cancer (PCa) aggressiveness and biochemical recurrence (BCR). Our goal was to validate these results in a large independent cohort of PCa patients who underwent radical prostatectomy. EXPERIMENTAL
DESIGN: A set of 1826 fully annotated prostate cancers treated by radical prostatectomy were analysed in a tissue microarray (TMA) format for NF-κB p65 immunohistochemistry-based protein expression. We performed standard Cox proportional hazard regression models for follow-up data, bootstrap procedure for model internal validation, Harrell's concordance index for model discrimination and graphical assessment of predicted versus actual outcomes for model calibration.
RESULTS: We observed a significant association between an increase in the nuclear frequency of NF-κB p65 and Gleason score (P<0.001), overall BCR (P<0.001) and development of metastases (P=0.001). NF-κB was found to be an independent predictor of BCR (P<0.001, Cox regression). However its contribution to the predictive accuracy of a multivariate model, which included preoperative PSA, Gleason score, extraprostatic extension, lymph node invasion, seminal vesicle involvement and surgical margin status, was modest.
CONCLUSIONS: Our study offers validating results linking NF-κB p65 with disease progression using a large cohort of European men. However, the contribution of NF-κB to a post-surgical predictive model appears modest. Further validating work should focus on evaluating the contribution of NF-κB p65 in pre-treatment models.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23541563     DOI: 10.1016/j.ejca.2013.02.026

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  19 in total

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