Literature DB >> 22160020

Using the biology of chronic lymphocytic leukemia to choose treatment.

Peter Hillmen1.   

Abstract

In recent years, our understanding of the pathophysiology of chronic lymphocytic leukemia (CLL) has advanced significantly. It is now clear that CLL is a relatively proliferative disorder that requires the help of its microenvironment to be maintained and to progress. The stimulation of the CLL cell occurs in most, if not all, patients through antigen stimulation via the BCR. In addition, there is now a clearer appreciation of the role of the p53 pathway leading to chemoresistance. These insights are allowing a more targeted approach with the use of p53-independent drugs such as mAbs and high-dose steroids to overcome genetically poor-risk CLL. The elucidation of the molecular and intracellular signaling mechanisms of disease is just beginning to facilitate the development of several targeted small molecules that promise to revolutionize the treatment of CLL. The measurement of the level of minimal residual disease (MRD) in CLL is becoming more available, facilitating approaches in which the aim of therapy is the eradication of detectable MRD. This also promises to improve personalization of therapy to the individual. Recently, the addition of rituximab to fludarabine plus cyclophosphamide (FCR) has improved overall survival in CLL for the first time, and it appears that this will only be the first small step on the path to much more effective therapies and, hopefully, less toxic targeted therapies.

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Year:  2011        PMID: 22160020     DOI: 10.1182/asheducation-2011.1.104

Source DB:  PubMed          Journal:  Hematology Am Soc Hematol Educ Program        ISSN: 1520-4383


  15 in total

1.  Clinical application of targeted and genome-wide technologies: can we predict treatment responses in chronic lymphocytic leukemia?

Authors:  Reem Alsolami; Samantha Jl Knight; Anna Schuh
Journal:  Per Med       Date:  2013-06-01       Impact factor: 2.512

Review 2.  Biologic and clinical significance of somatic mutations of SF3B1 in myeloid and lymphoid neoplasms.

Authors:  Mario Cazzola; Marianna Rossi; Luca Malcovati
Journal:  Blood       Date:  2012-11-16       Impact factor: 22.113

3.  TP53 mutation analysis in chronic lymphocytic leukemia: comparison of different detection methods.

Authors:  Barbara Kantorova; Jitka Malcikova; Jana Smardova; Sarka Pavlova; Martin Trbusek; Nikola Tom; Karla Plevova; Boris Tichy; Sim Truong; Eva Diviskova; Jana Kotaskova; Alexandra Oltova; Nancy Patten; Yvona Brychtova; Michael Doubek; Jiri Mayer; Sarka Pospisilova
Journal:  Tumour Biol       Date:  2014-12-20

4.  Three-year follow-up of treatment-naïve and previously treated patients with CLL and SLL receiving single-agent ibrutinib.

Authors:  John C Byrd; Richard R Furman; Steven E Coutre; Jan A Burger; Kristie A Blum; Morton Coleman; William G Wierda; Jeffrey A Jones; Weiqiang Zhao; Nyla A Heerema; Amy J Johnson; Yun Shaw; Elizabeth Bilotti; Cathy Zhou; Danelle F James; Susan O'Brien
Journal:  Blood       Date:  2015-02-19       Impact factor: 22.113

5.  IGFBP-2 - taking the lead in growth, metabolism and cancer.

Authors:  Steven W Yau; Walid J Azar; Matthew A Sabin; George A Werther; Vincenzo C Russo
Journal:  J Cell Commun Signal       Date:  2015-01-25       Impact factor: 5.782

Review 6.  B-cell lymphoma mutations: improving diagnostics and enabling targeted therapies.

Authors:  José P Vaqué; Nerea Martínez; Ana Batlle-López; Cristina Pérez; Santiago Montes-Moreno; Margarita Sánchez-Beato; Miguel A Piris
Journal:  Haematologica       Date:  2014-02       Impact factor: 9.941

7.  De novo deletion 17p13.1 as a predictor for disease progression in chronic lymphocytic leukemia.

Authors:  Amro M S El-Ghammaz; Essam Abdelwahed; Nevine N Mostafa; Dina A Mansour
Journal:  Clin Exp Med       Date:  2014-10-10       Impact factor: 3.984

8.  To treat or not to treat: metabolomics reveals biomarkers for treatment indication in chronic lymphocytic leukaemia patients.

Authors:  Jaroslaw Piszcz; Emily G Armitage; Alessia Ferrarini; Francisco J Rupérez; Agnieszka Kulczynska; Lukasz Bolkun; Janusz Kloczko; Adam Kretowski; Alina Urbanowicz; Michal Ciborowski; Coral Barbas
Journal:  Oncotarget       Date:  2016-04-19

Review 9.  Chronic lymphocytic leukemia: molecular heterogeneity revealed by high-throughput genomics.

Authors:  Dan A Landau; Catherine J Wu
Journal:  Genome Med       Date:  2013-05-29       Impact factor: 11.117

10.  Modern treatment in chronic lymphocytic leukemia: impact on survival and efficacy in high-risk subgroups.

Authors:  Antonio Cuneo; Francesco Cavazzini; Maria Ciccone; Giulia Daghia; Olga Sofritti; Elena Saccenti; Massimo Negrini; Gian Matteo Rigolin
Journal:  Cancer Med       Date:  2014-03-19       Impact factor: 4.452

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