Literature DB >> 11535507

Early immunophenotypical evaluation of minimal residual disease in acute myeloid leukemia identifies different patient risk groups and may contribute to postinduction treatment stratification.

J F San Miguel1, M B Vidriales, C López-Berges, J Díaz-Mediavilla, N Gutiérrez, C Cañizo, F Ramos, M J Calmuntia, J J Pérez, M González, A Orfao.   

Abstract

Early response to therapy is one of the most important prognostic factors in acute leukemia. It is hypothesized that early immunophenotypical evaluation may help identify patients at high risk for relapse from those who may remain in complete remission (CR). Using multiparametric flow cytometry, the level of minimal residual disease (MRD) was evaluated in the first bone marrow (BM) in morphologic CR obtained after induction treatment from 126 patients with acute myeloid leukemia (AML) who displayed aberrant phenotypes at diagnosis. Based on MRD level, 4 different risk categories were identified: 8 patients were at very low risk (fewer than 10(-4) cells), and none have relapsed thus far; 37 were at low risk (10(-4) to 10(-3) cells); and 64 were at intermediate risk (fewer than 10(-3) to 10(-2) cells), with 3-year cumulative relapse rates of 14% and 50%, respectively. The remaining 17 patients were in the high-risk group (more than 10(-2) residual aberrant cells) and had a 3-year relapse rate of 84% (P =.0001). MRD level not only influences relapse-free survival but also overall survival (P =.003). The adverse prognostic impact was also observed when M3 and non-M3 patients with AML were separately analyzed, and was associated with adverse cytogenetic subtypes, 2 or more cycles to achieve CR, and high white blood cell counts. Multivariate analysis showed that MRD level was the most powerful independent prognostic factor, followed by cytogenetics and number of cycles to achieve CR. In conclusion, immunophenotypical investigation of MRD in the first BM in mCR obtained after AML induction therapy provides important information for risk assessment in patients with AML.

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Year:  2001        PMID: 11535507     DOI: 10.1182/blood.v98.6.1746

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  56 in total

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Journal:  Leukemia       Date:  2012-06-05       Impact factor: 11.528

2.  Residual disease detected by multidimensional flow cytometry signifies high relapse risk in patients with de novo acute myeloid leukemia: a report from Children's Oncology Group.

Authors:  Michael R Loken; Todd A Alonzo; Laura Pardo; Robert B Gerbing; Susana C Raimondi; Betsy A Hirsch; Phoenix A Ho; Janet Franklin; Todd M Cooper; Alan S Gamis; Soheil Meshinchi
Journal:  Blood       Date:  2012-05-30       Impact factor: 22.113

Review 3.  X-linked clonality testing: interpretation and limitations.

Authors:  George L Chen; Josef T Prchal
Journal:  Blood       Date:  2007-04-13       Impact factor: 22.113

4.  Impact of pretransplantation minimal residual disease, as detected by multiparametric flow cytometry, on outcome of myeloablative hematopoietic cell transplantation for acute myeloid leukemia.

Authors:  Roland B Walter; Ted A Gooley; Brent L Wood; Filippo Milano; Min Fang; Mohamed L Sorror; Elihu H Estey; Alexander I Salter; Emily Lansverk; Jason W Chien; Ajay K Gopal; Frederick R Appelbaum; John M Pagel
Journal:  J Clin Oncol       Date:  2011-01-31       Impact factor: 44.544

5.  Correlation of minimal residual disease cell frequency with molecular genotype in patients with acute myeloid leukemia.

Authors:  Corine J Hess; Nicole Feller; Fedor Denkers; Angèle Kelder; Pauline A Merle; Michael C Heinrich; Amy Harlow; Johannes Berkhof; Gert J Ossenkoppele; Quinten Waisfisz; Gerrit J Schuurhuis
Journal:  Haematologica       Date:  2008-11-27       Impact factor: 9.941

6.  Multiparameter flow cytometric remission is the most relevant prognostic factor for multiple myeloma patients who undergo autologous stem cell transplantation.

Authors:  Bruno Paiva; Maria-Belén Vidriales; Jorge Cerveró; Gema Mateo; Jose J Pérez; Maria A Montalbán; Anna Sureda; Laura Montejano; Norma C Gutiérrez; Alfonso García de Coca; Natalia de Las Heras; Maria V Mateos; Maria C López-Berges; Raimundo García-Boyero; Josefina Galende; Jose Hernández; Luis Palomera; Dolores Carrera; Rafael Martínez; Javier de la Rubia; Alejandro Martín; Joan Bladé; Juan J Lahuerta; Alberto Orfao; Jesús F San Miguel
Journal:  Blood       Date:  2008-07-31       Impact factor: 22.113

Review 7.  Minimal residual disease in acute myelogenous leukemia.

Authors:  N M Cruz; N Mencia-Trinchant; D C Hassane; M L Guzman
Journal:  Int J Lab Hematol       Date:  2017-05       Impact factor: 2.877

Review 8.  Detection of minimal residual disease in acute myeloid leukemia.

Authors:  Maria R Baer
Journal:  Curr Oncol Rep       Date:  2002-09       Impact factor: 5.075

9.  Universal monitoring of minimal residual disease in acute myeloid leukemia.

Authors:  Elaine Coustan-Smith; Guangchun Song; Sheila Shurtleff; Allen Eng-Juh Yeoh; Wee Joo Chng; Siew Peng Chen; Jeffrey E Rubnitz; Ching-Hon Pui; James R Downing; Dario Campana
Journal:  JCI Insight       Date:  2018-05-03

Review 10.  Minimal residual disease quantitation in acute myeloid leukemia.

Authors:  David Shook; Elaine Coustan-Smith; Raul C Ribeiro; Jeffrey E Rubnitz; Dario Campana
Journal:  Clin Lymphoma Myeloma       Date:  2009
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