Literature DB >> 24113472

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

S Jeromin1, S Weissmann1, C Haferlach1, F Dicker1, K Bayer1, V Grossmann1, T Alpermann1, A Roller1, A Kohlmann1, T Haferlach1, W Kern1, S Schnittger1.   

Abstract

We analyzed a large cohort of 1160 untreated CLL patients for novel genetic markers (SF3B1, NOTCH1, FBXW7, MYD88, XPO1) in the context of molecular, immunophenotypic and cytogenetic data. NOTCH1 mutations (mut) (12.3%), SF3B1mut (9.0%) and TP53mut (7.1%) were more frequent than XPO1mut (3.4%), FBXW7mut (2.5%) and MYD88mut (1.5%). SF3B1mut, NOTCH1mut, TP53mut and XPO1mut were highly correlated to unmutated, whereas MYD88mut were associated with mutated IGHV status. Associations of diverse cytogenetic aberrations and mutations emerged: (1) SF3B1mut with del(11q), (2) NOTCH1mut and FBXW7mut with trisomy 12 and nearly exclusiveness of SF3B1mut, (3) MYD88mut with del(13q) sole and low frequencies of SF3B1mut, NOTCH1mut and FBXW7mut. In patients with normal karyotype only SF3B1mut were frequent, whereas NOTCH1mut rarely occurred. An adverse prognostic impact on time to treatment (TTT) and overall survival (OS) was observed for SF3B1mut, NOTCH1mut and TP53 disruption. In multivariate analyses SF3B1mut, IGHV mutational status and del(11q) were the only independent genetic markers for TTT, whereas for OS SF3B1mut, IGHV mutational status and TP53 disruption presented with significant impact. Finally, our data suggest that analysis of gene mutations refines the risk stratification of cytogenetic prognostic subgroups and confirms data of a recently proposed model integrating molecular and cytogenetic data.

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Year:  2013        PMID: 24113472     DOI: 10.1038/leu.2013.263

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


  49 in total

1.  Mutations of NOTCH1 are an independent predictor of survival in chronic lymphocytic leukemia.

Authors:  Davide Rossi; Silvia Rasi; Giulia Fabbri; Valeria Spina; Marco Fangazio; Francesco Forconi; Roberto Marasca; Luca Laurenti; Alessio Bruscaggin; Michaela Cerri; Sara Monti; Stefania Cresta; Rosella Famà; Lorenzo De Paoli; Pietro Bulian; Valter Gattei; Anna Guarini; Silvia Deaglio; Daniela Capello; Raul Rabadan; Laura Pasqualucci; Riccardo Dalla-Favera; Robin Foà; Gianluca Gaidano
Journal:  Blood       Date:  2011-11-10       Impact factor: 22.113

2.  Oncogenically active MYD88 mutations in human lymphoma.

Authors:  Vu N Ngo; Ryan M Young; Roland Schmitz; Sameer Jhavar; Wenming Xiao; Kian-Huat Lim; Holger Kohlhammer; Weihong Xu; Yandan Yang; Hong Zhao; Arthur L Shaffer; Paul Romesser; George Wright; John Powell; Andreas Rosenwald; Hans Konrad Muller-Hermelink; German Ott; Randy D Gascoyne; Joseph M Connors; Lisa M Rimsza; Elias Campo; Elaine S Jaffe; Jan Delabie; Erlend B Smeland; Richard I Fisher; Rita M Braziel; Raymond R Tubbs; J R Cook; Denny D Weisenburger; Wing C Chan; Louis M Staudt
Journal:  Nature       Date:  2010-12-22       Impact factor: 49.962

3.  ERIC recommendations on IGHV gene mutational status analysis in chronic lymphocytic leukemia.

Authors:  P Ghia; K Stamatopoulos; C Belessi; C Moreno; S Stilgenbauer; F Stevenson; F Davi; R Rosenquist
Journal:  Leukemia       Date:  2007-01       Impact factor: 11.528

4.  Monoallelic TP53 inactivation is associated with poor prognosis in chronic lymphocytic leukemia: results from a detailed genetic characterization with long-term follow-up.

Authors:  Thorsten Zenz; Alexander Kröber; Katrin Scherer; Sonja Häbe; Andreas Bühler; Axel Benner; Tina Denzel; Dirk Winkler; Jennifer Edelmann; Carsten Schwänen; Hartmut Döhner; Stephan Stilgenbauer
Journal:  Blood       Date:  2008-08-08       Impact factor: 22.113

5.  Comprehensive genetic characterization of CLL: a study on 506 cases analysed with chromosome banding analysis, interphase FISH, IgV(H) status and immunophenotyping.

Authors:  C Haferlach; F Dicker; S Schnittger; W Kern; T Haferlach
Journal:  Leukemia       Date:  2007-09-06       Impact factor: 11.528

6.  The Notch intracellular domain is ubiquitinated and negatively regulated by the mammalian Sel-10 homolog.

Authors:  C Oberg; J Li; A Pauley; E Wolf; M Gurney; U Lendahl
Journal:  J Biol Chem       Date:  2001-07-18       Impact factor: 5.157

7.  Characteristics of chronic lymphocytic leukemia with somatically acquired mutations in NOTCH1 exon 34.

Authors:  K Shedden; Y Li; P Ouillette; S N Malek
Journal:  Leukemia       Date:  2011-12-20       Impact factor: 11.528

8.  Whole-genome sequencing identifies recurrent mutations in chronic lymphocytic leukaemia.

Authors:  Xose S Puente; Magda Pinyol; Víctor Quesada; Laura Conde; Gonzalo R Ordóñez; Neus Villamor; Georgia Escaramis; Pedro Jares; Sílvia Beà; Marcos González-Díaz; Laia Bassaganyas; Tycho Baumann; Manel Juan; Mónica López-Guerra; Dolors Colomer; José M C Tubío; Cristina López; Alba Navarro; Cristian Tornador; Marta Aymerich; María Rozman; Jesús M Hernández; Diana A Puente; José M P Freije; Gloria Velasco; Ana Gutiérrez-Fernández; Dolors Costa; Anna Carrió; Sara Guijarro; Anna Enjuanes; Lluís Hernández; Jordi Yagüe; Pilar Nicolás; Carlos M Romeo-Casabona; Heinz Himmelbauer; Ester Castillo; Juliane C Dohm; Silvia de Sanjosé; Miguel A Piris; Enrique de Alava; Jesús San Miguel; Romina Royo; Josep L Gelpí; David Torrents; Modesto Orozco; David G Pisano; Alfonso Valencia; Roderic Guigó; Mónica Bayés; Simon Heath; Marta Gut; Peter Klatt; John Marshall; Keiran Raine; Lucy A Stebbings; P Andrew Futreal; Michael R Stratton; Peter J Campbell; Ivo Gut; Armando López-Guillermo; Xavier Estivill; Emili Montserrat; Carlos López-Otín; Elías Campo
Journal:  Nature       Date:  2011-06-05       Impact factor: 49.962

9.  The clinical significance of NOTCH1 and SF3B1 mutations in the UK LRF CLL4 trial.

Authors:  David G Oscier; Matthew J J Rose-Zerilli; Nils Winkelmann; David Gonzalez de Castro; Belen Gomez; Jade Forster; Helen Parker; Anton Parker; Anne Gardiner; Andrew Collins; Monica Else; Nicholas C P Cross; Daniel Catovsky; Jonathan C Strefford
Journal:  Blood       Date:  2012-10-18       Impact factor: 22.113

10.  The immunological profile of B-cell disorders and proposal of a scoring system for the diagnosis of CLL.

Authors:  E Matutes; K Owusu-Ankomah; R Morilla; J Garcia Marco; A Houlihan; T H Que; D Catovsky
Journal:  Leukemia       Date:  1994-10       Impact factor: 11.528

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  88 in total

1.  Prognostic relevance of MYD88 mutations in CLL: the jury is still out.

Authors:  Panagiotis Baliakas; Anastasia Hadzidimitriou; Andreas Agathangelidis; Davide Rossi; Lesley-Ann Sutton; Jana Kminkova; Lydia Scarfo; Sarka Pospisilova; Gianluca Gaidano; Kostas Stamatopoulos; Paolo Ghia; Richard Rosenquist
Journal:  Blood       Date:  2015-08-20       Impact factor: 22.113

2.  On the way towards a 'CLL prognostic index': focus on TP53, BIRC3, SF3B1, NOTCH1 and MYD88 in a population-based cohort.

Authors:  D Cortese; L-A Sutton; N Cahill; K E Smedby; C Geisler; R Gunnarsson; G Juliusson; L Mansouri; R Rosenquist
Journal:  Leukemia       Date:  2013-11-12       Impact factor: 11.528

3.  The clinical significance of patients' sex in chronic lymphocytic leukemia.

Authors:  Daniel Catovsky; Rachel Wade; Monica Else
Journal:  Haematologica       Date:  2014-03-21       Impact factor: 9.941

Review 4.  The molecular pathogenesis of chronic lymphocytic leukaemia.

Authors:  Giulia Fabbri; Riccardo Dalla-Favera
Journal:  Nat Rev Cancer       Date:  2016-03       Impact factor: 60.716

5.  Targeted next-generation sequencing in chronic lymphocytic leukemia: a high-throughput yet tailored approach will facilitate implementation in a clinical setting.

Authors:  Lesley-Ann Sutton; Viktor Ljungström; Larry Mansouri; Emma Young; Diego Cortese; Veronika Navrkalova; Jitka Malcikova; Alice F Muggen; Martin Trbusek; Panagiotis Panagiotidis; Frederic Davi; Chrysoula Belessi; Anton W Langerak; Paolo Ghia; Sarka Pospisilova; Kostas Stamatopoulos; Richard Rosenquist
Journal:  Haematologica       Date:  2014-12-05       Impact factor: 9.941

Review 6.  Genomic and epigenomic heterogeneity in chronic lymphocytic leukemia.

Authors:  Romain Guièze; Catherine J Wu
Journal:  Blood       Date:  2015-06-11       Impact factor: 22.113

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.  Chronic lymphocytic leukemia cells in lymph nodes show frequent NOTCH1 activation.

Authors:  Arantza Onaindia; Sagrario Gómez; Miguel Piris-Villaespesa; Carolina Martínez-Laperche; Laura Cereceda; Santiago Montes-Moreno; Ana Batlle; Sonia González de Villambrosia; Marina Pollán; Paloma Martín-Acosta; Julia González-Rincón; Javier Menarguez; Javier Alvés; Socorro M Rodriguez-Pinilla; Juan F García; Manuela Mollejo; Máximo Fraga; José A García-Marco; Miguel A Piris; Margarita Sánchez-Beato
Journal:  Haematologica       Date:  2014-12-31       Impact factor: 9.941

Review 9.  Molecular pathogenesis of CLL and its evolution.

Authors:  David Rodríguez; Gabriel Bretones; Javier R Arango; Víctor Valdespino; Elías Campo; Víctor Quesada; Carlos López-Otín
Journal:  Int J Hematol       Date:  2015-01-29       Impact factor: 2.490

10.  Low frequency mutations independently predict poor treatment-free survival in early stage chronic lymphocytic leukemia and monoclonal B-cell lymphocytosis.

Authors:  Nils Winkelmann; Matthew Rose-Zerilli; Jade Forster; Marina Parry; Anton Parker; Anne Gardiner; Zadie Davies; Andrew J Steele; Helen Parker; Nicholas C P Cross; David G Oscier; Jonathan C Strefford
Journal:  Haematologica       Date:  2015-02-20       Impact factor: 9.941

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