Nuclear Localization of Nuclear Factor-κB p65 in Primary Prostate Tumors Is Highly Predictive of Pelvic Lymph Node Metastases
| Autor: | Mona Alam-Fahmy, Laurent Lessard, Pierre I. Karakiewicz, Hazem A. Ismail, Pascale Bellon-Gagnon, Anne-Marie Mes-Masson, Fred Saad |
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| Rok vydání: | 2006 |
| Předmět: |
Male
Cancer Research Multivariate statistics Pathology medicine.medical_specialty medicine.medical_treatment Urology Logistic regression Pelvis Prostate cancer Statistical significance Humans Medicine Neoplasm Invasiveness Lymph node Aged Neoplasm Staging Cell Nucleus Prostatectomy Receiver operating characteristic business.industry NF-kappa B Prostatic Neoplasms Seminal Vesicles Odds ratio Middle Aged Prostate-Specific Antigen medicine.disease Protein Transport medicine.anatomical_structure Oncology Lymphatic Metastasis business |
| Zdroj: | Clinical Cancer Research. 12:5741-5745 |
| ISSN: | 1557-3265 1078-0432 |
| Popis: | Purpose: Lymph node invasion (LNI) is associated with increased risk of prostate cancer progression. Unfortunately, pelvic lymph node dissections are fraught with a high rate of false-negative findings, emphasizing the need for highly accurate markers of LNI. Because nuclear factor-κB (NF-κB) is a candidate marker of prostate cancer progression, we tested the association between nuclear localization of NF-κB in radical prostatectomy specimens and the presence of LNI. Experimental Design: NF-κB expression in radical prostatectomy specimens was assessed with a monoclonal NF-κB p65 antibody, in 20 patients with LNI and in 31 controls with no LNI and no biochemical relapse 5 years after radical prostatectomy. Univariate and multivariate logistic regression models were used. The accuracy of multivariate predictions with and without NF-κB was quantified with the area under the receiver operating characteristics curve and 200 bootstrap resamples were used to reduce overfit bias. Results: Univariate regression models showed a 7% increase in the odds of observing LNI for each 1% increase in NF-κB nuclear staining (odds ratio, 1.07; P = 0.003). In multivariate models, each 1% increase in NF-κB was associated with an 8% increase in the odds of LNI (odds ratio, 1.08; P = 0.03) and its statistical significance was only surpassed by the presence of seminal vesicle invasion (P = 0.003). Addition of NF-κB to all other predictors increased the accuracy of LNI prediction by 2.3% (from 84.8% to 87.1%; P < 0.001). Conclusion: This is the first study that shows that the extent of nuclear localization of NF-κB in primary prostate tumors is highly accurately capable of predicting the probability of locoregional spread of prostate cancer. |
| Databáze: | OpenAIRE |
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