Literature DB >> 23243274

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

Davide Rossi1, 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.   

Abstract

The identification of new genetic lesions in chronic lymphocytic leukemia (CLL) prompts a comprehensive and dynamic prognostic algorithm including gene mutations and chromosomal abnormalities and their changes during clonal evolution. By integrating mutational and cytogenetic analysis in 1274 CLL samples and using both a training-validation and a time-dependent design, 4 CLL subgroups were hierarchically classified: (1) high-risk, harboring TP53 and/or BIRC3 abnormalities (10-year survival: 29%); (2) intermediate-risk, harboring NOTCH1 and/or SF3B1 mutations and/or del11q22-q23 (10-year survival: 37%); (3) low-risk, harboring +12 or a normal genetics (10-year survival: 57%); and (4) very low-risk, harboring del13q14 only, whose 10-year survival (69.3%) did not significantly differ from a matched general population. This integrated mutational and cytogenetic model independently predicted survival, improved CLL prognostication accuracy compared with FISH karyotype (P < .0001), and was externally validated in an independent CLL cohort. Clonal evolution from lower to higher risk implicated the emergence of NOTCH1, SF3B1, and BIRC3 abnormalities in addition to TP53 and 11q22-q23 lesions. By taking into account clonal evolution through time-dependent analysis, the genetic model maintained its prognostic relevance at any time from diagnosis. These findings may have relevant implications for the design of clinical trials aimed at assessing the use of mutational profiling to inform therapeutic decisions.

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Year:  2012        PMID: 23243274      PMCID: PMC3578955          DOI: 10.1182/blood-2012-09-458265

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  36 in total

1.  Clonal evolution in chronic lymphocytic leukemia: acquisition of high-risk genomic aberrations associated with unmutated VH, resistance to therapy, and short survival.

Authors:  Stephan Stilgenbauer; Sandrine Sander; Lars Bullinger; Axel Benner; Elke Leupolt; Dirk Winkler; Alexander Kröber; Dirk Kienle; Peter Lichter; Hartmut Döhner
Journal:  Haematologica       Date:  2007-08-01       Impact factor: 9.941

2.  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

Review 3.  Emerging role of kinase-targeted strategies in chronic lymphocytic leukemia.

Authors:  Adrian Wiestner
Journal:  Blood       Date:  2012-08-08       Impact factor: 22.113

4.  Tree-structured prediction for censored survival data and the Cox model.

Authors:  A Ciampi; A Negassa; Z Lou
Journal:  J Clin Epidemiol       Date:  1995-05       Impact factor: 6.437

5.  Early results of a chemoimmunotherapy regimen of fludarabine, cyclophosphamide, and rituximab as initial therapy for chronic lymphocytic leukemia.

Authors:  Michael J Keating; Susan O'Brien; Maher Albitar; Susan Lerner; William Plunkett; Francis Giles; Michael Andreeff; Jorge Cortes; Stefan Faderl; Deborah Thomas; Charles Koller; William Wierda; Michelle A Detry; Alice Lynn; Hagop Kantarjian
Journal:  J Clin Oncol       Date:  2005-03-14       Impact factor: 44.544

6.  Genomic aberrations and survival in chronic lymphocytic leukemia.

Authors:  H Döhner; S Stilgenbauer; A Benner; E Leupolt; A Kröber; L Bullinger; K Döhner; M Bentz; P Lichter
Journal:  N Engl J Med       Date:  2000-12-28       Impact factor: 91.245

7.  SF3B1 and other novel cancer genes in chronic lymphocytic leukemia.

Authors:  Lili Wang; Michael S Lawrence; Youzhong Wan; Petar Stojanov; Carrie Sougnez; Kristen Stevenson; Lillian Werner; Andrey Sivachenko; David S DeLuca; Li Zhang; Wandi Zhang; Alexander R Vartanov; Stacey M Fernandes; Natalie R Goldstein; Eric G Folco; Kristian Cibulskis; Bethany Tesar; Quinlan L Sievers; Erica Shefler; Stacey Gabriel; Nir Hacohen; Robin Reed; Matthew Meyerson; Todd R Golub; Eric S Lander; Donna Neuberg; Jennifer R Brown; Gad Getz; Catherine J Wu
Journal:  N Engl J Med       Date:  2011-12-12       Impact factor: 91.245

8.  Prospective evaluation of clonal evolution during long-term follow-up of patients with untreated early-stage chronic lymphocytic leukemia.

Authors:  Tait D Shanafelt; Thomas E Witzig; Stephanie R Fink; Robert B Jenkins; Sarah F Paternoster; Stephanie A Smoley; Kimberly J Stockero; Danielle M Nast; Heather C Flynn; Renee C Tschumper; Susan Geyer; Clive S Zent; Tim G Call; Diane F Jelinek; Neil E Kay; Gordon W Dewald
Journal:  J Clin Oncol       Date:  2006-10-01       Impact factor: 44.544

9.  A long-term study of prognosis in monoclonal gammopathy of undetermined significance.

Authors:  Robert A Kyle; Terry M Therneau; S Vincent Rajkumar; Janice R Offord; Dirk R Larson; Matthew F Plevak; L Joseph Melton
Journal:  N Engl J Med       Date:  2002-02-21       Impact factor: 91.245

Review 10.  Chronic lymphocytic leukaemia.

Authors:  G Dighiero; T J Hamblin
Journal:  Lancet       Date:  2008-03-22       Impact factor: 79.321

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  161 in total

1.  UGT2B17 expression: a novel prognostic marker within IGHV-mutated chronic lymphocytic leukemia?

Authors:  Sujata Bhoi; Panagiotis Baliakas; Diego Cortese; Mattias Mattsson; Marie Engvall; Karin E Smedby; Gunnar Juliusson; Lesley-Ann Sutton; Larry Mansouri
Journal:  Haematologica       Date:  2015-11-20       Impact factor: 9.941

2.  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

3.  A progression-risk score to predict treatment-free survival for early stage chronic lymphocytic leukemia patients.

Authors:  M Gentile; T D Shanafelt; G Cutrona; S Molica; G Tripepi; I Alvarez; F R Mauro; N Di Renzo; F Di Raimondo; I Vincelli; K Todoerti; S Matis; C Musolino; S Fabris; E Vigna; L Levato; S Zupo; F Angrilli; U Consoli; G Festini; G Longo; A Cortelezzi; A Arcari; M Federico; D Mannina; A G Recchia; A Neri; N E Kay; M Ferrarini; F Morabito
Journal:  Leukemia       Date:  2015-12-09       Impact factor: 11.528

4.  A B-cell epigenetic signature defines three biologic subgroups of chronic lymphocytic leukemia with clinical impact.

Authors:  A C Queirós; N Villamor; G Clot; A Martinez-Trillos; M Kulis; A Navarro; E M M Penas; S Jayne; A Majid; J Richter; A K Bergmann; J Kolarova; C Royo; N Russiñol; G Castellano; M Pinyol; S Bea; I Salaverria; M López-Guerra; D Colomer; M Aymerich; M Rozman; J Delgado; E Giné; M González-Díaz; X S Puente; R Siebert; M J S Dyer; C López-Otín; C Rozman; E Campo; A López-Guillermo; J I Martín-Subero
Journal:  Leukemia       Date:  2014-08-25       Impact factor: 11.528

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

Authors:  S Jeromin; S Weissmann; C Haferlach; F Dicker; K Bayer; V Grossmann; T Alpermann; A Roller; A Kohlmann; T Haferlach; W Kern; S Schnittger
Journal:  Leukemia       Date:  2013-09-12       Impact factor: 11.528

6.  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

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

Authors:  Raul Rabadan; Gyan Bhanot; Sonia Marsilio; Nicholas Chiorazzi; Laura Pasqualucci; Hossein Khiabanian
Journal:  J Stat Phys       Date:  2017-12-21       Impact factor: 1.548

8.  Locally disordered methylation forms the basis of intratumor methylome variation in chronic lymphocytic leukemia.

Authors:  Dan A Landau; Kendell Clement; Michael J Ziller; Patrick Boyle; Jean Fan; Hongcang Gu; Kristen Stevenson; Carrie Sougnez; Lili Wang; Shuqiang Li; Dylan Kotliar; Wandi Zhang; Mahmoud Ghandi; Levi Garraway; Stacey M Fernandes; Kenneth J Livak; Stacey Gabriel; Andreas Gnirke; Eric S Lander; Jennifer R Brown; Donna Neuberg; Peter V Kharchenko; Nir Hacohen; Gad Getz; Alexander Meissner; Catherine J Wu
Journal:  Cancer Cell       Date:  2014-12-08       Impact factor: 31.743

9.  Genetic lesions associated with chronic lymphocytic leukemia chemo-refractoriness.

Authors:  Monica Messina; Ilaria Del Giudice; Hossein Khiabanian; Davide Rossi; Sabina Chiaretti; Silvia Rasi; Valeria Spina; Antony B Holmes; Marilisa Marinelli; Giulia Fabbri; Alfonso Piciocchi; Francesca R Mauro; Anna Guarini; Gianluca Gaidano; Riccardo Dalla-Favera; Laura Pasqualucci; Raul Rabadan; Robin Foà
Journal:  Blood       Date:  2014-02-18       Impact factor: 22.113

10.  LPL deletion is associated with poorer response to ibrutinib-based treatments and overall survival in TP53-deleted chronic lymphocytic leukemia.

Authors:  Wei Liu; Jan A Burger; Jie Xu; Zhenya Tang; Gokce Toruner; Mahsa Khanlari; L Jeffrey Medeiros; Guilin Tang
Journal:  Ann Hematol       Date:  2020-08-24       Impact factor: 3.673

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