Literature DB >> 16755223

Pharmacogenomics of acute lymphoblastic leukemia.

Leo Kager1, William E Evans.   

Abstract

PURPOSE OF REVIEW: The cure rate in children with acute lymphoblastic leukemia now exceeds almost 80% in most treatment protocols in industrialized countries. This has mainly been achieved empirically through carefully controlled, randomized clinical trials. Due to relative nonspecific action and narrow therapeutic indices of antileukemic medications, however, current therapy can be associated with significant short and long-term adverse effects, and around 20% of patients will not be cured despite intensified treatment. Pharmacogenomics, which studies the role of inheritance in individual variation in drug disposition and response, could be a useful tool to further improve outcome in this heterogeneous disease by individualization of therapy based on information gained from the genetic 'make-up' of normal host cells and lymphoblastic leukemia cells. RECENT
FINDINGS: The focus of this review is on recent progress in the field by discussing the results of selected studies in which information from functional genomics, high-throughput molecular analyses, and pharmacodynamics has been integrated to establish pharmacogenomic models. These models may be used to both maximize efficacy and minimize toxicity of existing antileukemic medications, or to identify novel therapeutic targets in lymphoblasts that are resistant to conventional antileukemic drugs.
SUMMARY: The findings from recent pharmacogenomic studies can be integrated into decision-making in future clinical trials. Thus there is great promise for advancing event-free survival in childhood leukemia in the future.

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Year:  2006        PMID: 16755223     DOI: 10.1097/01.moh.0000231424.46148.f9

Source DB:  PubMed          Journal:  Curr Opin Hematol        ISSN: 1065-6251            Impact factor:   3.284


  5 in total

1.  Comparative pharmacogenetic analysis of risk polymorphisms in Caucasian and Vietnamese children with acute lymphoblastic leukemia: prediction of therapeutic outcome?

Authors:  Phuong Thu Vu Hoang; Jérôme Ambroise; Anne-France Dekairelle; Jean-François Durant; Valentina Butoescu; Vu Luan Dang Chi; Nghia Huynh; Tan Binh Nguyen; Annie Robert; Christiane Vermylen; Jean-Luc Gala
Journal:  Br J Clin Pharmacol       Date:  2015-03       Impact factor: 4.335

2.  Germline genetic variation in an organic anion transporter polypeptide associated with methotrexate pharmacokinetics and clinical effects.

Authors:  Lisa R Treviño; Noriko Shimasaki; Wenjian Yang; John C Panetta; Cheng Cheng; Deqing Pei; Diana Chan; Alex Sparreboom; Kathleen M Giacomini; Ching-Hon Pui; William E Evans; Mary V Relling
Journal:  J Clin Oncol       Date:  2009-11-09       Impact factor: 44.544

3.  Improvement of induction remission rate by modifying the dose of idarubicin for relapsed childhood acute lymphoblastic leukemia.

Authors:  Jong Hyung Yoon; Jeong Ah Park; Eun Kyung Kim; Hyoung Jin Kang; Hee Young Shin; Hyo Seop Ahn
Journal:  J Korean Med Sci       Date:  2009-04-20       Impact factor: 2.153

4.  Granulocyte colony stimulating factor increases drug resistance of leukaemic blast cells to daunorubicin.

Authors:  László Márkász; György Hajas; Andrea Kiss; Beáta Lontay; Eva Rajnavölgyi; Ferenc Erdodi; Eva Oláh
Journal:  Pathol Oncol Res       Date:  2008-05-21       Impact factor: 3.201

Review 5.  Mercaptopurine/Methotrexate maintenance therapy of childhood acute lymphoblastic leukemia: clinical facts and fiction.

Authors:  Kjeld Schmiegelow; Stine N Nielsen; Thomas L Frandsen; Jacob Nersting
Journal:  J Pediatr Hematol Oncol       Date:  2014-10       Impact factor: 1.289

  5 in total

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