Literature DB >> 25082786

MDM2 promotor polymorphism and disease characteristics in chronic lymphocytic leukemia: results of an individual patient data-based meta-analysis.

Axel Benner1, Larry Mansouri2, Davide Rossi3, Aneela Majid4, Kerstin Willander5, Anton Parker6, Gareth Bond7, Sarka Pavlova8, Holger Nückel9, Olaf Merkel10, Paolo Ghia11, Emili Montserrat12, Mohd Arifin Kaderi13, Richard Rosenquist2, Gianluca Gaidano3, Martin J S Dyer4, Peter Söderkvist5, Mats Linderholm5, David Oscier6, Zuzana Tvaruzkova8, Sarka Pospisilova8, Ulrich Dührsen9, Richard Greil10, Hartmut Döhner14, Stephan Stilgenbauer14, Thorsten Zenz15.   

Abstract

A number of single nucleotide polymorphisms have been associated with disease predisposition in chronic lymphocytic leukemia. A single nucleotide polymorphism in the MDM2 promotor region, MDM2SNP309, was shown to soothe the p53 pathway. In the current study, we aimed to clarify the effect of the MDM2SNP309 on chronic lymphocytic leukemia characteristics and outcome. We performed a meta-analysis of data from 2598 individual patients from 10 different cohorts. Patients' data and genetic analysis for MDM2SNP309 genotype, immunoglobulin heavy chain variable region mutation status and fluorescence in situ hybridization results were collected. There were no differences in overall survival based on the polymorphism (log rank test, stratified by study cohort; P=0.76; GG genotype: cohort-adjusted median overall survival of 151 months; TG: 153 months; TT: 149 months). In a multivariable Cox proportional hazards regression analysis, advanced age, male sex and unmutated immunoglobulin heavy chain variable region genes were associated with inferior survival, but not the MDM2 genotype. The MDM2SNP309 is unlikely to influence disease characteristics and prognosis in chronic lymphocytic leukemia. Studies investigating the impact of individual single nucleotide polymorphisms on prognosis are often controversial. This may be due to selection bias and small sample size. A meta-analysis based on individual patient data provides a reasonable strategy for prognostic factor analyses in the case of small individual studies. Individual patient data-based meta-analysis can, therefore, be a powerful tool to assess genetic risk factors in the absence of large studies. Copyright© Ferrata Storti Foundation.

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Year:  2014        PMID: 25082786      PMCID: PMC4116826          DOI: 10.3324/haematol.2013.101170

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


  30 in total

1.  Common genetic variation contributes significantly to the risk of developing chronic lymphocytic leukemia.

Authors:  Maria Chiara Di Bernardo; Peter Broderick; Daniel Catovsky; Richard S Houlston
Journal:  Haematologica       Date:  2012-08-16       Impact factor: 9.941

Review 2.  A single nucleotide polymorphism in the MDM2 gene: from a molecular and cellular explanation to clinical effect.

Authors:  Gareth L Bond; Wenwei Hu; Arnold Levine
Journal:  Cancer Res       Date:  2005-07-01       Impact factor: 12.701

Review 3.  Purine antagonists for chronic lymphocytic leukaemia.

Authors:  M Steurer; G Pall; S Richards; G Schwarzer; J Bohlius; R Greil
Journal:  Cochrane Database Syst Rev       Date:  2006-07-19

4.  To IPD or not to IPD? Advantages and disadvantages of systematic reviews using individual patient data.

Authors:  Lesley A Stewart; Jayne F Tierney
Journal:  Eval Health Prof       Date:  2002-03       Impact factor: 2.651

5.  A single nucleotide polymorphism in the MDM2 promoter attenuates the p53 tumor suppressor pathway and accelerates tumor formation in humans.

Authors:  Gareth L Bond; Wenwei Hu; Elisabeth E Bond; Harlan Robins; Stuart G Lutzker; Nicoleta C Arva; Jill Bargonetti; Frank Bartel; Helge Taubert; Peter Wuerl; Kenan Onel; Linwah Yip; Shih-Jen Hwang; Louise C Strong; Guillermina Lozano; Arnold J Levine
Journal:  Cell       Date:  2004-11-24       Impact factor: 41.582

6.  p53 pathway gene single nucleotide polymorphisms and chronic lymphocytic leukemia.

Authors:  Onoshua Lahiri; Scott Harris; Graham Packham; Melanie Howell
Journal:  Cancer Genet Cytogenet       Date:  2007-11

7.  MDM2 SNP309 and cancer risk: a combined analysis.

Authors:  Stefan Wilkening; Justo Lorenzo Bermejo; Kari Hemminki
Journal:  Carcinogenesis       Date:  2007-09-07       Impact factor: 4.944

8.  Comprehensive biomarker and genomic analysis identifies p53 status as the major determinant of response to MDM2 inhibitors in chronic lymphocytic leukemia.

Authors:  Chris Saddler; Peter Ouillette; Lisa Kujawski; Sanjeev Shangary; Moshe Talpaz; Mark Kaminski; Harry Erba; Kerby Shedden; Shaomeng Wang; Sami N Malek
Journal:  Blood       Date:  2007-10-30       Impact factor: 22.113

9.  Guidelines for the diagnosis and treatment of chronic lymphocytic leukemia: a report from the International Workshop on Chronic Lymphocytic Leukemia updating the National Cancer Institute-Working Group 1996 guidelines.

Authors:  Michael Hallek; Bruce D Cheson; Daniel Catovsky; Federico Caligaris-Cappio; Guillaume Dighiero; Hartmut Döhner; Peter Hillmen; Michael J Keating; Emili Montserrat; Kanti R Rai; Thomas J Kipps
Journal:  Blood       Date:  2008-01-23       Impact factor: 22.113

10.  MDM2 SNP309 is associated with poor outcome in B-cell chronic lymphocytic leukemia.

Authors:  Irina Gryshchenko; Sebastian Hofbauer; Markus Stoecher; Peter T Daniel; Michael Steurer; Alexander Gaiger; Karin Eigenberger; Richard Greil; Inge Tinhofer
Journal:  J Clin Oncol       Date:  2008-05-10       Impact factor: 44.544

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  1 in total

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Authors:  Julian Musa; Florencia Cidre-Aranaz; Marie-Ming Aynaud; Martin F Orth; Maximilian M L Knott; Olivier Mirabeau; Gal Mazor; Mor Varon; Tilman L B Hölting; Sandrine Grossetête; Moritz Gartlgruber; Didier Surdez; Julia S Gerke; Shunya Ohmura; Aruna Marchetto; Marlene Dallmayer; Michaela C Baldauf; Stefanie Stein; Giuseppina Sannino; Jing Li; Laura Romero-Pérez; Frank Westermann; Wolfgang Hartmann; Uta Dirksen; Melissa Gymrek; Nathaniel D Anderson; Adam Shlien; Barak Rotblat; Thomas Kirchner; Olivier Delattre; Thomas G P Grünewald
Journal:  Nat Commun       Date:  2019-09-11       Impact factor: 14.919

  1 in total

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