Literature DB >> 12506020

Immunophenotypic evidence of leukemia after induction therapy predicts relapse: results from a prospective Children's Cancer Group study of 252 patients with acute myeloid leukemia.

Eric L Sievers1, Beverly J Lange, Todd A Alonzo, Robert B Gerbing, Irwin D Bernstein, Franklin O Smith, Robert J Arceci, William G Woods, Michael R Loken.   

Abstract

Approximately 40% of children with acute myeloid leukemia (AML) who respond to initial therapy subsequently relapse. Multidimensional flow cytometry employing a standardized panel of monoclonal antibodies enables the detection of small numbers of occult leukemic cells that persist during therapy using technology adaptable by most clinical laboratories. We performed a prospective, blinded evaluation of bone marrow specimens obtained from 252 pediatric patients with de novo AML to determine whether detection of occult leukemia defined as more than or equal to 0.5% blasts with aberrant surface antigen expression as determined by flow cytometry was predictive of subsequent relapse. Occult leukemia was detected in 41 (16%) of the 252 patients who responded to initial induction therapy. In time-dependent multivariate analyses that controlled for allogeneic marrow transplantation, variable intervals between sample submission, age, sex, white blood cell count at diagnosis, presence of splenomegaly or hepatomegaly, and presence of more than 15% blasts in the marrow after the first course of induction, patients harboring occult leukemia were 4.8 times more likely to relapse (95% confidence interval [CI] = 2.8 to 8.4, P <.0001) and 3.1 times more likely to die (95% CI; 1.9 to 5.1, P <.0001) than those lacking leukemia detectable by flow cytometry. In this analysis, flow cytometric evidence of leukemia after the initiation of therapy emerged as the most powerful independent prognostic factor associated with poor outcome. Among patients in whom a marrow sample was available for analysis at the end of consolidation therapy, overall survival at 3 years was 41% versus 69% for patients with and without occult leukemia, respectively (P =.0058).

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Year:  2002        PMID: 12506020     DOI: 10.1182/blood-2002-10-3064

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


  46 in total

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Authors:  Jeffrey E Rubnitz; Hiroto Inaba; Gary Dahl; Raul C Ribeiro; W Paul Bowman; Jeffrey Taub; Stanley Pounds; Bassem I Razzouk; Norman J Lacayo; Xueyuan Cao; Soheil Meshinchi; Barbara Degar; Gladstone Airewele; Susana C Raimondi; Mihaela Onciu; Elaine Coustan-Smith; James R Downing; Wing Leung; Ching-Hon Pui; Dario Campana
Journal:  Lancet Oncol       Date:  2010-05-05       Impact factor: 41.316

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

3.  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

Review 4.  Topics in pediatric leukemia--hematopoietic stem cell transplantation.

Authors:  Theodore B Moore; Kathleen M Sakamoto
Journal:  MedGenMed       Date:  2005-03-29

5.  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

Review 6.  Biology, risk stratification, and therapy of pediatric acute leukemias: an update.

Authors:  Ching-Hon Pui; William L Carroll; Soheil Meshinchi; Robert J Arceci
Journal:  J Clin Oncol       Date:  2011-01-10       Impact factor: 44.544

7.  Lessons learned from the investigational device exemption review of Children's Oncology Group trial AAML1031.

Authors:  Soheil Meshinchi; Stephen P Hunger; Richard Aplenc; Peter C Adamson; J Milburn Jessup
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8.  FLT3 internal tandem duplication in CD34+/CD33- precursors predicts poor outcome in acute myeloid leukemia.

Authors:  Jessica A Pollard; Todd A Alonzo; Robert B Gerbing; William G Woods; Beverly J Lange; David A Sweetser; Jerald P Radich; Irwin D Bernstein; Soheil Meshinchi
Journal:  Blood       Date:  2006-06-29       Impact factor: 22.113

Review 9.  Children's Oncology Group's 2013 blueprint for research: acute myeloid leukemia.

Authors:  Alan S Gamis; Todd A Alonzo; John P Perentesis; Soheil Meshinchi
Journal:  Pediatr Blood Cancer       Date:  2012-12-19       Impact factor: 3.167

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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