Literature DB >> 24616160

Minimal residual disease monitoring in t(8;21) acute myeloid leukemia based on RUNX1-RUNX1T1 fusion quantification on genomic DNA.

Nicolas Duployez1, Olivier Nibourel, Alice Marceau-Renaut, Christophe Willekens, Nathalie Helevaut, Aurélie Caillault, Céline Villenet, Karine Celli-Lebras, Nicolas Boissel, Eric Jourdan, Hervé Dombret, Martin Figeac, Claude Preudhomme, Aline Renneville.   

Abstract

Although acute myeloid leukemia (AML) with t(8;21) belongs to the favorable risk AML subset, relapse incidence may reach 30% in those patients. RUNX1-RUNX1T1 fusion transcript is a well-established marker for minimal residual disease (MRD) monitoring. In this study, we investigated the feasibility and performances of RUNX1-RUNX1T1 DNA as MRD marker in AML with t(8;21). In 17/22 patients with t(8;21)-positive AML treated in the French CBF-2006 trial, breakpoints in RUNX1 and RUNX1T1 were identified using long-range PCR followed by next-generation sequencing. RUNX1-RUNX1T1 DNA quantification was performed by real-time quantitative PCR using patient-specific primers and probe. MRD levels were evaluated in 71 follow-up samples from 16 patients, with a median of four samples [range 2-7] per patient. RUNX1 breakpoints were located in intron 5 in all cases. RUNX1T1 breakpoints were located in intron 1b in 15 cases and in intron 1a in two cases. RUNX1-RUNX1T1 MRD levels measured on DNA and RNA were strongly correlated (r = 0.8, P < 0.0001). Discordant MRD results were observed in 10/71 (14%) of the samples: in three samples from two patients who relapsed, RUNX1-RUNX1T1 was detectable only on DNA, while RUNX1-RUNX1T1 was detectable only on RNA in seven samples. MRD monitoring on genomic DNA is feasible, but with sensitivity variations depending on the patient breakpoint sequence and the qPCR assay efficiency. Although interpretation of the results is easier because it is closely related to the number of leukemic cells, this method greatly increases time, cost and complexity, which limits its interest in routine practice.
© 2014 Wiley Periodicals, Inc.

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Year:  2014        PMID: 24616160     DOI: 10.1002/ajh.23696

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   10.047


  5 in total

Review 1.  Life after transplant: are we becoming high maintenance in AML?

Authors:  A M Brunner; A T Fathi; Y B Chen
Journal:  Bone Marrow Transplant       Date:  2016-06-20       Impact factor: 5.483

Review 2.  Advancing the Minimal Residual Disease Concept in Acute Myeloid Leukemia.

Authors:  Peter Hokland; Hans B Ommen; Matthew P Mulé; Christopher S Hourigan
Journal:  Semin Hematol       Date:  2015-04-07       Impact factor: 3.851

Review 3.  Discovering and understanding oncogenic gene fusions through data intensive computational approaches.

Authors:  Natasha S Latysheva; M Madan Babu
Journal:  Nucleic Acids Res       Date:  2016-04-21       Impact factor: 16.971

4.  Synergistic suppression of t(8;21)-positive leukemia cell growth by combining oridonin and MAPK1/ERK2 inhibitors.

Authors:  Pavel Spirin; Timofey Lebedev; Natalia Orlova; Alexey Morozov; Nadezhda Poymenova; Sergey E Dmitriev; Anton Buzdin; Carol Stocking; Olga Kovalchuk; Vladimir Prassolov
Journal:  Oncotarget       Date:  2017-06-16

5.  A novel deep targeted sequencing method for minimal residual disease monitoring in acute myeloid leukemia.

Authors:  Esther Onecha; Maria Linares; Inmaculada Rapado; Yanira Ruiz-Heredia; Pilar Martinez-Sanchez; Teresa Cedena; Marta Pratcorona; Jaime Perez Oteyza; Pilar Herrera; Eva Barragan; Pau Montesinos; Jose Antonio Garcia Vela; Elena Magro; Eduardo Anguita; Angela Figuera; Rosalia Riaza; Pilar Martinez-Barranco; Beatriz Sanchez-Vega; Josep Nomdedeu; Miguel Gallardo; Joaquin Martinez-Lopez; Rosa Ayala
Journal:  Haematologica       Date:  2018-08-09       Impact factor: 9.941

  5 in total

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