Literature DB >> 16129368

P53 as a prognostic marker for bladder cancer: a meta-analysis and review.

Núria Malats1, Aurelia Bustos, Cristiane M Nascimento, Francisco Fernandez, Manuel Rivas, Diana Puente, Manolis Kogevinas, Francisco X Real.   

Abstract

BACKGROUND: P53 is the most widely investigated molecular marker in bladder cancer. We aimed to review comprehensively the evidence for use of changes in P53 to predict bladder-cancer recurrence, progression, and mortality.
METHODS: We reviewed 168 publications from 117 studies. Estimates of significance were extracted from association tests, and hazard ratios with 95% CI from actuarial curves and Cox regression analyses. A meta-analysis was done on the studies that applied Cox models.
FINDINGS: The methods used to assess significance varied widely between studies. 27% (nine of 34) of studies that assessed the prognostic value of P53 overexpression in recurrence by use of multivariate tests showed a significant association. The corresponding values for progression and mortality were 50% (12 of 24) and 29% (ten of 35), respectively. In the studies that used Cox models, the overall risk of recurrence was 1.6 (95% CI 1.2-2.1), of progression was 3.1 (1.9-4.9), and of mortality was 1.4 (1.2-1.7). These findings could be overestimates because of publication and reporting bias.
INTERPRETATION: After 10 years of research, evidence is not sufficient to conclude whether changes in P53 act as markers of outcome in patients with bladder cancer.

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Year:  2005        PMID: 16129368     DOI: 10.1016/S1470-2045(05)70315-6

Source DB:  PubMed          Journal:  Lancet Oncol        ISSN: 1470-2045            Impact factor:   41.316


  91 in total

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3.  Reporting Recommendations for Tumor Marker Prognostic Studies (REMARK): explanation and elaboration.

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4.  The prognostic significance of p53 expression in gastric cancer: a meta-analysis.

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Review 7.  Prognostic value of HIF-1α expression in patients with gastric cancer.

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9.  Personalized medicine in advanced urothelial cancer: when to treat, how to treat and who to treat.

Authors:  Behfar Ehdaie; Steven C Smith; Dan Theodorescu
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Review 10.  The Emergence of Precision Urologic Oncology: A Collaborative Review on Biomarker-driven Therapeutics.

Authors:  Christopher E Barbieri; Arul M Chinnaiyan; Seth P Lerner; Charles Swanton; Mark A Rubin
Journal:  Eur Urol       Date:  2016-08-25       Impact factor: 20.096

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