Literature DB >> 10749127

Prognostic significance of p53 nuclear accumulation in localized prostate cancer treated with radical prostatectomy.

D I Quinn1, S M Henshall, D R Head, D Golovsky, J D Wilson, P C Brenner, J J Turner, W Delprado, J F Finlayson, P D Stricker, J J Grygiel, R L Sutherland.   

Abstract

The role of p53 in the pathogenesis of, and as a predictive biomarker for, localized prostate cancer (PCa) is contested. Recent work has suggested that patterns of p53 nuclear accumulation determined by immunohistochemistry are prognostic, whereas studies using other methods question the role of p53 mutations in predicting outcome. We studied 263 men with localized PCa treated with radical prostatectomy to determine whether p53 nuclear accumulation predicts relapse and disease-specific mortality. We combined two p53 immunohistochemistry scoring systems: (a) percentage of p53-positive tumor nuclei in all major foci of cancer within the prostate; and (b) clustering, where the presence of 12 or more p53-positive cells within a x 200 power field was deemed "cluster positive." Analysis was undertaken using chi2, Kruskal-Wallis, and Mann-Whitney tests for clinicopathological variables and the Kaplan-Meier method, log-rank test, and univariate and multivariate Cox regression modeling for evaluation of contribution to relapse and disease-specific survival. At mean follow-up of 55.1 months (range, 4.9-123.0 months), 39% (102 of 263) of patients had relapsed and 2.3% (6 of 253) had died of PCa. Pretreatment serum prostate-specific antigen concentration, pathological tumor stage, lymph node involvement, Gleason score, and p53 nuclear accumulation, as determined by either percentage score or cluster status, were independent predictors of relapse in multivariate analysis. Clustering of p53-positive cells distinguished between favorable and poor prognosis patients within the lowest p53-positive stratum (>0 to <2%) and was the most discriminatory threshold for predicting relapse in the entire cohort. p53 status predicted outcome in patients with a Gleason score of 5 and above but not those with a score of 4 and below. In patients treated with neoadjuvant hormonal therapy, p53 cluster positivity carried a 90% (19 of 21) risk of relapse by 36 months. All six patients who died from PCa in the period of the study exhibited p53 nuclear accumulation in 20% or more tumor nuclei. This study demonstrates strong relationships between p53 nuclear accumulation and relapse and disease-specific mortality in a large series of localized PCas. Furthermore, the presence of clusters of p53-positive nuclei delineates a group of patients with poor prognosis not identified by traditional scoring methods and supports the hypothesis that p53 dysfunction within PCa may exist in foci of tumor cells that are clonally expanded in metastases.

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Year:  2000        PMID: 10749127

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  18 in total

Review 1.  Tissue microarrays.

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2.  Androgen induces G3BP2 and SUMO-mediated p53 nuclear export in prostate cancer.

Authors:  D Ashikari; K Takayama; T Tanaka; Y Suzuki; D Obinata; T Fujimura; T Urano; S Takahashi; S Inoue
Journal:  Oncogene       Date:  2017-07-10       Impact factor: 9.867

3.  The future in advanced prostate cancer: take your partners or is the last dance for me?

Authors:  David I Quinn
Journal:  Rev Urol       Date:  2004

4.  The prognostic value of p53 and DNA ploidy following radical prostatectomy.

Authors:  C Deliveliotis; A Skolarikos; A Karayannis; V Tzelepis; N Trakas; E Alargof; V Protogerou
Journal:  World J Urol       Date:  2003-07-03       Impact factor: 4.226

5.  An analysis of a multiple biomarker panel to better predict prostate cancer metastasis after radical prostatectomy.

Authors:  Alison Y Zhang; Karen Chiam; Ygal Haupt; Stephen Fox; Simone Birch; Wayne Tilley; Lisa M Butler; Karen Knudsen; Clay Comstock; Krishan Rasiah; Judith Grogan; Kate L Mahon; Tina Bianco-Miotto; Carmela Ricciardelli; Maret Böhm; Susan Henshall; Warick Delprado; Phillip Stricker; Lisa G Horvath; James G Kench
Journal:  Int J Cancer       Date:  2018-12-04       Impact factor: 7.396

6.  The loss of TGF-beta signaling promotes prostate cancer metastasis.

Authors:  William H Tu; Tania Z Thomas; Naoya Masumori; Neil A Bhowmick; Agnieszka E Gorska; Yu Shyr; Susan Kasper; Tom Case; Richard L Roberts; Scott B Shappell; Harold L Moses; Robert J Matusik
Journal:  Neoplasia       Date:  2003 May-Jun       Impact factor: 5.715

7.  Utility of tissue microarrays for profiling prognostic biomarkers in clinically localized prostate cancer: the expression of BCL-2, E-cadherin, Ki-67 and p53 as predictors of biochemical failure after radical prostatectomy with nested control for clinical and pathological risk factors.

Authors:  Joseph Nariculam; Alex Freeman; Simon Bott; Phillipa Munson; Noriko Cable; Nicola Brookman-Amissah; Magali Williamson; Roger S Kirby; John Masters; Mark Feneley
Journal:  Asian J Androl       Date:  2008-12-01       Impact factor: 3.285

Review 8.  Recent progress in predictive biomarkers for metastatic recurrence of human hepatocellular carcinoma: a review of the literature.

Authors:  Lun-Xiu Qin; Zhao-You Tang
Journal:  J Cancer Res Clin Oncol       Date:  2004-06-17       Impact factor: 4.553

Review 9.  Immunopathological prognostic and predictive factors in prostate cancer.

Authors:  E Sivridis; S Touloupidis; A Giatromanolaki
Journal:  Int Urol Nephrol       Date:  2002       Impact factor: 2.370

10.  MDM2 and Ki-67 predict for distant metastasis and mortality in men treated with radiotherapy and androgen deprivation for prostate cancer: RTOG 92-02.

Authors:  Li-Yan Khor; Kyounghwa Bae; Rebecca Paulus; Tahseen Al-Saleem; M Elizabeth Hammond; David J Grignon; Mingxin Che; Varagur Venkatesan; Roger W Byhardt; Marvin Rotman; Gerald E Hanks; Howard M Sandler; Alan Pollack
Journal:  J Clin Oncol       Date:  2009-05-26       Impact factor: 44.544

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