Literature DB >> 9310499

Immunophenotyping investigation of minimal residual disease is a useful approach for predicting relapse in acute myeloid leukemia patients.

J F San Miguel1, A Martínez, A Macedo, M B Vidriales, C López-Berges, M González, D Caballero, M A García-Marcos, F Ramos, J Fernández-Calvo, M J Calmuntia, J Diaz-Mediavilla, A Orfao.   

Abstract

A high complete remission rate is currently achieved in patients with acute myeloid leukemia (AML). However, many patients eventually relapse due to the persistence of low numbers of residual leukemic cells that are undetectable by conventional cytomorphologic criteria (minimal residual disease [MRD]). Using immunophenotypic multiparametric flow cytometry, we have investigated in sequential studies (diagnosis and follow-up) the impact of MRD detection on the outcome of 53 AML patients that had achieved morphologic remission with standard AML protocols and displayed at diagnosis an aberrant phenotype. Patients were studied at diagnosis with a panel of 35 monoclonal antibodies in triple staining combinations for detection of aberrant or uncommon phenotypic features. According to these features, a patient's probe was custom-built at diagnosis for the identification of possible residual leukemic cells during follow-up. The level of MRD at the end of induction and intensification therapy correlated with the number of relapses and relapse-free survival (RFS). Thus, patients with more than 5 x 10(-3) residual cells (5 residual cells among 1,000 normal bone marrow [BM] cells) identified as leukemic by immunophenotyping in the first remission BM showed a significant higher rate of relapse (67% v 20% for patients with less than 5 x 10(-3) residual cells; P = .002) and a lower median RFS (17 months v not reached; P = .01). At the end of intensification, with a cut-off value of 2 x 10(-3) leukemic cells, AML patients also separated into two distinct groups with relapse rates of 69% versus 32% (P = .02), respectively, and median RFS of 16 months versus not reached (P = .04). In addition, overall survival was also significantly related to the level of residual cells in the marrow obtained at the end of induction and particularly after intensification therapy (P = .008). Furthermore, we have explored whether residual disease was related with the functional expression of multidrug resistance (MDR-1) at diagnosis as assessed by the rhodamine123 assay. Patients with > or =5 x 10(-3) residual leukemic cells at the end of induction therapy had a significantly higher rhodamine-123 efflux (mean, 56% +/- 24%) than those with less than 5 x 10(-3) residual cells (mean, 32% +/- 31%; P = .04). Finally, multivariate analysis showed that the number of residual cells at the end of induction or intensification therapy was the most important prognostic factor for prediction of RFS. Overall, our results show that immunophenotypical investigation of MRD strongly predicts outcome in patients with AML and that the number of residual leukemic cells correlates with multidrug resistance.

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Year:  1997        PMID: 9310499

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


  44 in total

1.  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

2.  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

3.  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

4.  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 5.  Multi-color flow cytometric immunophenotyping for detection of minimal residual disease in AML: past, present and future.

Authors:  J M Jaso; S A Wang; J L Jorgensen; P Lin
Journal:  Bone Marrow Transplant       Date:  2014-05-19       Impact factor: 5.483

6.  Pre-transplant MRD predicts outcome following reduced-intensity and myeloablative allogeneic hemopoietic SCT in AML.

Authors:  C Anthias; F L Dignan; R Morilla; A Morilla; M E Ethell; M N Potter; B E Shaw
Journal:  Bone Marrow Transplant       Date:  2014-02-10       Impact factor: 5.483

7.  Impact of measurable residual disease by decentralized flow cytometry: a PETHEMA real-world study in 1076 patients with acute myeloid leukemia.

Authors:  Bruno Paiva; María-Belen Vidriales; Amparo Sempere; Fabián Tarín; Enrique Colado; Celina Benavente; María-Teresa Cedena; Joaquín Sánchez; Teresa Caballero-Velazquez; Lourdes Cordón; Juan-Jose Garces; Catia Simoes; David Martínez-Cuadrón; Teresa Bernal; Carmen Botella; Sofia Grille; Josefina Serrano; Carlos Rodríguez-Medina; Lorenzo Algarra; Juan-Manuel Alonso-Domínguez; María-Luz Amigo; Manuel Barrios; Raimundo García-Boyero; Mercedes Colorado; Jaime Pérez-Oteyza; Manuel Pérez-Encinas; Lisette Costilla-Barriga; María-José Sayas; Olga Pérez; Marcos González-Díaz; José A Pérez-Simón; Joaquín Martínez-López; Claudia Sossa; Alberto Orfao; Jesús F San Miguel; Miguel-Ángel Sanz; Pau Montesinos
Journal:  Leukemia       Date:  2021-02-01       Impact factor: 11.528

Review 8.  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

9.  Bioinspired multivalent DNA network for capture and release of cells.

Authors:  Weian Zhao; Cheryl H Cui; Suman Bose; Dagang Guo; Chong Shen; Wesley P Wong; Ken Halvorsen; Omid C Farokhzad; Grace Sock Leng Teo; Joseph A Phillips; David M Dorfman; Rohit Karnik; Jeffrey M Karp
Journal:  Proc Natl Acad Sci U S A       Date:  2012-11-12       Impact factor: 11.205

10.  Characterization of blasts in clinical samples containing few blasts.

Authors:  Hideya Hyodo; Kiyoyuki Ogata; Mikiko Tachibana; Kazuo Dan
Journal:  Int J Hematol       Date:  2003-05       Impact factor: 2.490

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