Literature DB >> 19074112

Molecular determinants of treatment response in acute lymphoblastic leukemia.

Dario Campana1.   

Abstract

Treatment response in patients with acute lymphoblastic leukemia (ALL) is best assessed using assays for minimal residual disease (MRD). The degree of leukemia cytoreduction and MRD clearance is determined by the collective influence of multiple factors. Some of these variables are features of the leukemic cells, such as expression of genes that regulate their susceptibility to cytotoxic drugs and their propensity to undergo apoptosis. Gene profiles depend, in turn, on the cell of origin for leukemic transformation, the type of underlying genetic abnormalities and/or epigenetic regulatory mechanisms. Another set of variables is related to the host, such as age and polymorphisms in genes that metabolize drugs, which together with pharmacologic variables, such as drug pharmacodynamics and drug interactions, influence treatment response. Finally, the bone marrow microenvironment where leukemic cells reside can participate in the generation of drug resistance. Altogether, these variables determine treatment outcome in each patient. Full knowledge of the molecular features associated with treatment response is required for precise leukemia prognostication and monitoring, and can provide clues to useful targets for novel therapies.

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Year:  2008        PMID: 19074112     DOI: 10.1182/asheducation-2008.1.366

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


  13 in total

1.  Bridging the gap between the north and south of the world: the case of treatment response in childhood acute lymphoblastic leukemia.

Authors:  Martin Stanulla; André Schrauder
Journal:  Haematologica       Date:  2009-06       Impact factor: 9.941

Review 2.  Immunologic minimal residual disease detection in acute lymphoblastic leukemia: a comparative approach to molecular testing.

Authors:  Elaine Coustan-Smith; Dario Campana
Journal:  Best Pract Res Clin Haematol       Date:  2010-10-28       Impact factor: 3.020

Review 3.  Progress of minimal residual disease studies in childhood acute leukemia.

Authors:  Dario Campana
Journal:  Curr Hematol Malig Rep       Date:  2010-07       Impact factor: 3.952

4.  Clinical significance of low levels of minimal residual disease at the end of remission induction therapy in childhood acute lymphoblastic leukemia.

Authors:  Patricia Stow; Laura Key; Xiaohua Chen; Qiulu Pan; Geoffrey A Neale; Elaine Coustan-Smith; Charles G Mullighan; Yinmei Zhou; Ching-Hon Pui; Dario Campana
Journal:  Blood       Date:  2010-03-19       Impact factor: 22.113

Review 5.  Minimal Residual Disease Evaluation in Childhood Acute Lymphoblastic Leukemia: An Economic Analysis.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2016-03-08

Review 6.  Minimal residual disease in acute lymphoblastic leukemia.

Authors:  Dario Campana
Journal:  Semin Hematol       Date:  2009-01       Impact factor: 3.851

Review 7.  Role of minimal residual disease monitoring in adult and pediatric acute lymphoblastic leukemia.

Authors:  Dario Campana
Journal:  Hematol Oncol Clin North Am       Date:  2009-10       Impact factor: 3.722

8.  Potential therapeutic targets and small molecular drugs for pediatric B-precursor acute lymphoblastic leukemia treatment based on microarray data.

Authors:  Limei Kong; Xiaowei Zhang; Chao Li; Liping Zhou
Journal:  Oncol Lett       Date:  2017-06-08       Impact factor: 2.967

Review 9.  Minimal residual disease in acute lymphoblastic leukemia: technical aspects and implications for clinical interpretation.

Authors:  In-Suk Kim
Journal:  Blood Res       Date:  2020-07-31

10.  BET inhibition as a single or combined therapeutic approach in primary paediatric B-precursor acute lymphoblastic leukaemia.

Authors:  D Da Costa; A Agathanggelou; T Perry; V Weston; E Petermann; A Zlatanou; C Oldreive; W Wei; G Stewart; J Longman; E Smith; P Kearns; S Knapp; T Stankovic
Journal:  Blood Cancer J       Date:  2013-07-19       Impact factor: 11.037

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