Literature DB >> 22297721

ERIC recommendations on TP53 mutation analysis in chronic lymphocytic leukemia.

S Pospisilova1, D Gonzalez, J Malcikova, M Trbusek, D Rossi, A P Kater, F Cymbalista, B Eichhorst, M Hallek, H Döhner, P Hillmen, M van Oers, J Gribben, P Ghia, E Montserrat, S Stilgenbauer, T Zenz.   

Abstract

Recent evidence suggests that - in addition to 17p deletion - TP53 mutation is an independent prognostic factor in chronic lymphocytic leukemia (CLL). Data from retrospective analyses and prospective clinical trials show that ∼5% of untreated CLL patients with treatment indication have a TP53 mutation in the absence of 17p deletion. These patients have a poor response and reduced progression-free survival and overall survival with standard treatment approaches. These data suggest that TP53 mutation testing warrants integration into current diagnostic work up of patients with CLL. There are a number of assays to detect TP53 mutations, which have respective advantages and shortcomings. Direct Sanger sequencing of exons 4-9 can be recommended as a suitable test to identify TP53 mutations for centers with limited experience with alternative screening methods. Recommendations are provided on standard operating procedures, quality control, reporting and interpretation. Patients with treatment indications should be investigated for TP53 mutations in addition to the work-up recommended by the International workshop on CLL guidelines. Patients with TP53 mutation may be considered for allogeneic stem cell transplantation in first remission. Alemtuzumab-based regimens can yield a substantial proportion of complete responses, although of short duration. Ideally, patients should be treated within clinical trials exploring new therapeutic agents.

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Year:  2012        PMID: 22297721     DOI: 10.1038/leu.2012.25

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  73 in total

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Journal:  Blood       Date:  2014-01-06       Impact factor: 22.113

2.  Feasibility of targeted next-generation sequencing of the TP53 and ATM genes in chronic lymphocytic leukemia.

Authors:  L Mansouri; L-A Sutton; V Ljungström; E F Sörqvist; R Gunnarsson; K E Smedby; G Juliusson; K Stamatopoulos; M Nilsson; R Rosenquist
Journal:  Leukemia       Date:  2013-10-31       Impact factor: 11.528

Review 3.  The role of TP53 network in the pathogenesis of chronic lymphocytic leukemia.

Authors:  Cheng Wang; Xin Wang
Journal:  Int J Clin Exp Pathol       Date:  2013-06-15

4.  Antibody-dependent cellular cytotoxicity of the optimized anti-CD20 monoclonal antibody ublituximab on chronic lymphocytic leukemia cells with the 17p deletion.

Authors:  M Le Garff-Tavernier; L Herbi; C de Romeuf; F Nguyen-Khac; F Davi; A Grelier; M Boudjoghra; K Maloum; S Choquet; R Urbain; V Vieillard; H Merle-Béral
Journal:  Leukemia       Date:  2013-08-20       Impact factor: 11.528

5.  SF3B1 mutations correlated to cytogenetics and mutations in NOTCH1, FBXW7, MYD88, XPO1 and TP53 in 1160 untreated CLL patients.

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Journal:  Leukemia       Date:  2013-09-12       Impact factor: 11.528

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Authors:  Giulia Fabbri; Riccardo Dalla-Favera
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Review 7.  Deciphering the molecular landscape in chronic lymphocytic leukemia: time frame of disease evolution.

Authors:  Lesley-Ann Sutton; Richard Rosenquist
Journal:  Haematologica       Date:  2015-01       Impact factor: 9.941

8.  Integrated mutational and cytogenetic analysis identifies new prognostic subgroups in chronic lymphocytic leukemia.

Authors:  Davide Rossi; Silvia Rasi; Valeria Spina; Alessio Bruscaggin; Sara Monti; Carmela Ciardullo; Clara Deambrogi; Hossein Khiabanian; Roberto Serra; Francesco Bertoni; Francesco Forconi; Luca Laurenti; Roberto Marasca; Michele Dal-Bo; Francesca Maria Rossi; Pietro Bulian; Josep Nomdedeu; Giovanni Del Poeta; Valter Gattei; Laura Pasqualucci; Raul Rabadan; Robin Foà; Riccardo Dalla-Favera; Gianluca Gaidano
Journal:  Blood       Date:  2012-12-13       Impact factor: 22.113

Review 9.  Clinical utility of recently identified diagnostic, prognostic, and predictive molecular biomarkers in mature B-cell neoplasms.

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Journal:  Mod Pathol       Date:  2017-06-30       Impact factor: 7.842

10.  On statistical modeling of sequencing noise in high depth data to assess tumor evolution.

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