Literature DB >> 18239620

Minimal residual disease-directed risk stratification using real-time quantitative PCR analysis of immunoglobulin and T-cell receptor gene rearrangements in the international multicenter trial AIEOP-BFM ALL 2000 for childhood acute lymphoblastic leukemia.

T Flohr1, A Schrauder, G Cazzaniga, R Panzer-Grümayer, V van der Velden, S Fischer, M Stanulla, G Basso, F K Niggli, B W Schäfer, R Sutton, R Koehler, M Zimmermann, M G Valsecchi, H Gadner, G Masera, M Schrappe, J J M van Dongen, A Biondi, C R Bartram.   

Abstract

Detection of minimal residual disease (MRD) is the most sensitive method to evaluate treatment response and one of the strongest predictors of outcome in childhood acute lymphoblastic leukemia (ALL). The 10-year update on the I-BFM-SG MRD study 91 demonstrates stable results (event-free survival), that is, standard risk group (MRD-SR) 93%, intermediate risk group (MRD-IR) 74%, and high risk group (MRD-HR) 16%. In multicenter trial AIEOP-BFM ALL 2000, patients were stratified by MRD detection using quantitative PCR after induction (TP1) and consolidation treatment (TP2). From 1 July 2000 to 31 October 2004, PCR target identification was performed in 3341 patients: 2365 (71%) patients had two or more sensitive targets (< or =10(-4)), 671 (20%) patients revealed only one sensitive target, 217 (6%) patients had targets with lower sensitivity, and 88 (3%) patients had no targets. MRD-based risk group assignment was feasible in 2594 (78%) patients: 40% were classified as MRD-SR (two sensitive targets, MRD negativity at both time points), 8% as MRD-HR (MRD > or =10(-3) at TP2), and 52% as MRD-IR. The remaining 823 patients were stratified according to clinical risk features: HR (n=108) and IR (n=715). In conclusion, MRD-PCR-based stratification using stringent criteria is feasible in almost 80% of patients in an international multicenter trial.

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Year:  2008        PMID: 18239620     DOI: 10.1038/leu.2008.5

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  94 in total

1.  Use of cancer-specific genomic rearrangements to quantify disease burden in plasma from patients with solid tumors.

Authors:  David J McBride; Arto K Orpana; Christos Sotiriou; Heikki Joensuu; Philip J Stephens; Laura J Mudie; Eija Hämäläinen; Lucy A Stebbings; Leif C Andersson; Adrienne M Flanagan; Virginie Durbecq; Michail Ignatiadis; Olli Kallioniemi; Caroline A Heckman; Kari Alitalo; Henrik Edgren; P Andrew Futreal; Michael R Stratton; Peter J Campbell
Journal:  Genes Chromosomes Cancer       Date:  2010-11       Impact factor: 5.006

2.  How to assess minimal residual disease in pediatric and adult acute myeloid leukemia?

Authors:  Gerrit J Schuurhuis; Jacqueline Cloos; Gert J Ossenkoppele
Journal:  Transl Pediatr       Date:  2013-04

3.  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

4.  Time point-dependent concordance of flow cytometry and real-time quantitative polymerase chain reaction for minimal residual disease detection in childhood acute lymphoblastic leukemia.

Authors:  Giuseppe Gaipa; Giovanni Cazzaniga; Maria Grazia Valsecchi; Renate Panzer-Grümayer; Barbara Buldini; Daniela Silvestri; Leonid Karawajew; Oscar Maglia; Richard Ratei; Alessandra Benetello; Simona Sala; Angela Schumich; Andre Schrauder; Tiziana Villa; Marinella Veltroni; Wolf-Dieter Ludwig; Valentino Conter; Martin Schrappe; Andrea Biondi; Michael N Dworzak; Giuseppe Basso
Journal:  Haematologica       Date:  2012-05-11       Impact factor: 9.941

5.  ERG deletion is associated with CD2 and attenuates the negative impact of IKZF1 deletion in childhood acute lymphoblastic leukemia.

Authors:  M Zaliova; O Zimmermannova; P Dörge; C Eckert; A Möricke; M Zimmermann; J Stuchly; A Teigler-Schlegel; B Meissner; R Koehler; C R Bartram; L Karawajew; P Rhein; J Zuna; M Schrappe; G Cario; M Stanulla
Journal:  Leukemia       Date:  2013-09-27       Impact factor: 11.528

6.  Minimal residual disease in peripheral blood at day 15 identifies a subgroup of childhood B-cell precursor acute lymphoblastic leukemia with superior prognosis.

Authors:  Jana Volejnikova; Ester Mejstrikova; Tatana Valova; Leona Reznickova; Ladislava Hodonska; Vladimir Mihal; Jaroslav Sterba; Yahia Jabali; Daniela Prochazkova; Bohumir Blazek; Jiri Hak; Zdenka Cerna; Ondrej Hrusak; Jan Stary; Jan Trka; Eva Fronkova
Journal:  Haematologica       Date:  2011-08-31       Impact factor: 9.941

7.  Genome-wide interrogation of germline genetic variation associated with treatment response in childhood acute lymphoblastic leukemia.

Authors:  Jun J Yang; Cheng Cheng; Wenjian Yang; Deqing Pei; Xueyuan Cao; Yiping Fan; Stanley B Pounds; Geoffrey Neale; Lisa R Treviño; Deborah French; Dario Campana; James R Downing; William E Evans; Ching-Hon Pui; Meenakshi Devidas; W P Bowman; Bruce M Camitta; Cheryl L Willman; Stella M Davies; Michael J Borowitz; William L Carroll; Stephen P Hunger; Mary V Relling
Journal:  JAMA       Date:  2009-01-28       Impact factor: 56.272

8.  Acute lymphoblastic leukemia in children: treatment planning via minimal residual disease assessment.

Authors:  Claus R Bartram; André Schrauder; Rolf Köhler; Martin Schrappe
Journal:  Dtsch Arztebl Int       Date:  2012-10-05       Impact factor: 5.594

Review 9.  High-risk childhood acute lymphoblastic leukemia.

Authors:  Deepa Bhojwani; Scott C Howard; Ching-Hon Pui
Journal:  Clin Lymphoma Myeloma       Date:  2009

10.  PCR-based clonality assessment in patients with lymphocytic leukaemias: a single-institution experience.

Authors:  Bojana M Cikota; Ljiljana J Tukić; Olivera T Tarabar; Dragana T Stamatović; Marija N Elez; Zvonko M Magić
Journal:  J Genet       Date:  2009-12       Impact factor: 1.166

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