Literature DB >> 17532236

Integrating molecular information into treatment of childhood acute lymphoblastic leukemia--a perspective from the BFM Study Group.

Martin Stanulla1, Gunnar Cario, Barbara Meissner, André Schrauder, Anja Möricke, Hansjörg Riehm, Martin Schrappe.   

Abstract

Acute lymphoblastic leukemia (ALL) is the most common malignancy of childhood and is treated with chemotherapy alone or, in particular subgroups, with additional radiation therapy and/or stem cell transplantation. The treatment intensity is adjusted according to prognostic factors associated with the risk of ALL recurrence. On Berlin-Frankfurt-Münster (BFM) protocols, the widely applicable early in vivo response to treatment as measured by the reduction of leukemic cells in the blood or bone marrow is currently the most important prognostic factor. However, although overall long-term cure rates for childhood ALL treated on risk-adapted protocols have dramatically improved over the last decades and, to date, are higher than 75%, a significant number of patients still die due to recurrent disease or the toxicity of treatment applied. One goal in future BFM trials will be to take advantage of a better molecular understanding of leukemia and host characteristics to dissect the mechanisms underlying the differences in treatment response. This short review focuses on the evolution of treatment response in BFM trials and provides a perspective on our strategy for improving molecular characterization of childhood ALL and implementing more individualized and novel therapeutic approaches.

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Year:  2007        PMID: 17532236     DOI: 10.1016/j.bcmd.2007.04.005

Source DB:  PubMed          Journal:  Blood Cells Mol Dis        ISSN: 1079-9796            Impact factor:   3.039


  5 in total

1.  HLA-allele matched unrelated donors compared to HLA-matched sibling donors: role of cell source and disease risk category.

Authors:  Ann Woolfrey; Stephanie J Lee; Ted A Gooley; Mari Malkki; Paul J Martin; John M Pagel; John A Hansen; Effie Petersdorf
Journal:  Biol Blood Marrow Transplant       Date:  2010-05-04       Impact factor: 5.742

2.  Methotrexate-induced side effects are not due to differences in pharmacokinetics in children with Down syndrome and acute lymphoblastic leukemia.

Authors:  Trudy D Buitenkamp; Ron A A Mathôt; Valerie de Haas; Rob Pieters; C Michel Zwaan
Journal:  Haematologica       Date:  2010-04-23       Impact factor: 9.941

3.  A simplified minimal residual disease polymerase chain reaction method at early treatment points can stratify children with acute lymphoblastic leukemia into good and poor outcome groups.

Authors:  Carlos A Scrideli; Juliana G Assumpção; Mônica A Ganazza; Marcela Araújo; Silvia R Toledo; Maria Lúcia M Lee; Elisabete Delbuono; Antonio S Petrilli; Rosane P Queiróz; Andrea Biondi; Marcos B Viana; José A Yunes; Silvia R Brandalise; Luiz G Tone
Journal:  Haematologica       Date:  2009-06       Impact factor: 9.941

4.  Inherited GATA3 variants are associated with Ph-like childhood acute lymphoblastic leukemia and risk of relapse.

Authors:  Virginia Perez-Andreu; Kathryn G Roberts; Richard C Harvey; Wenjian Yang; Cheng Cheng; Deqing Pei; Heng Xu; Julie Gastier-Foster; Shuyu E; Joshua Yew-Suang Lim; I-Ming Chen; Yiping Fan; Meenakshi Devidas; Michael J Borowitz; Colton Smith; Geoffrey Neale; Esteban G Burchard; Dara G Torgerson; Federico Antillon Klussmann; Cesar Rolando Najera Villagran; Naomi J Winick; Bruce M Camitta; Elizabeth Raetz; Brent Wood; Feng Yue; William L Carroll; Eric Larsen; W Paul Bowman; Mignon L Loh; Michael Dean; Deepa Bhojwani; Ching-Hon Pui; William E Evans; Mary V Relling; Stephen P Hunger; Cheryl L Willman; Charles G Mullighan; Jun J Yang
Journal:  Nat Genet       Date:  2013-10-20       Impact factor: 38.330

5.  Intrinsic and chemo-sensitizing activity of SMAC-mimetics on high-risk childhood acute lymphoblastic leukemia.

Authors:  M Schirmer; L Trentin; M Queudeville; F Seyfried; S Demir; E Tausch; S Stilgenbauer; S M Eckhoff; L H Meyer; K-M Debatin
Journal:  Cell Death Dis       Date:  2016-01-14       Impact factor: 8.469

  5 in total

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