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

Background Flow cytometric analysis of leukemia-associated immunophenotypes and polymerase chain reaction-based amplification of antigen-receptor genes rearrangements are reliable methods for monitoring minimal residual disease. The aim of this study was to compare the performances of these two methodologies in the detection of minimal residual disease in childhood acute lymphoblastic leukemia. Design and Methods Polymerase chain reaction and flow cytometry were simultaneously applied for prospective minimal residual disease measurements at days 15, 33 and 78 of induction therapy on 3565 samples from 1547 children with acute lymphoblastic leukemia enrolled into the AIEOP-BFM ALL 2000 trial. Results The overall concordance was 80%, but different results were observed according to the time point. Most discordances were found at day 33 (concordance rate 70%) in samples that had significantly lower minimal residual disease. However, the discordance was not due to different starting materials (total versus mononucleated cells), but rather to cell input number. At day 33, cases with minimal residual disease below or above the 0.01% cut-off by both methods showed a very good outcome (5-year event-free survival, 91.6%) or a poor one (5-year event-free survival, 50.9%), respectively, whereas discordant cases showed similar event-free survival rates (around 80%). Conclusions Within the current BFM-based protocols, flow cytometry and polymerase chain reaction cannot simply substitute each other at single time points, and the concordance rates between their results depend largely on the time at which they are used. Our findings suggest a potential complementary role of the two technologies in optimizing risk stratification in future clinical trials.

[1]  D. Printz,et al.  Multiparameter phenotype mapping of normal and post-chemotherapy B lymphopoiesis in pediatric bone marrow , 1997, Leukemia.

[2]  M. Björkholm,et al.  Analysis of minimal residual disease in childhood acute lymphoblastic leukemia: comparison between RQ-PCR analysis of Ig/TcR gene rearrangements and multicolor flow cytometric immunophenotyping , 2004, Leukemia.

[3]  T. Klingebiel,et al.  Minimal residual disease (MRD) status prior to allogeneic stem cell transplantation is a powerful predictor for post-transplant outcome in children with ALL , 2002, Leukemia.

[4]  D. Campana,et al.  Concurrent detection of minimal residual disease (MRD) in childhood acute lymphoblastic leukaemia by flow cytometry and real‐time PCR , 2005, British journal of haematology.

[5]  D. Campana Determination of minimal residual disease in leukaemia patients , 2003, British journal of haematology.

[6]  M. Schrappe,et al.  Optimization of PCR-based minimal residual disease diagnostics for childhood acute lymphoblastic leukemia in a multi-center setting , 2007, Leukemia.

[7]  R. Stallings,et al.  Minimal residual disease detection in childhood acute lymphoblastic leukaemia patients at multiple time‐points reveals high levels of concordance between molecular and immunophenotypic approaches , 2009, British journal of haematology.

[8]  Giuseppe Basso,et al.  Expression of CD58 in normal, regenerating and leukemic bone marrow B cells: implications for the detection of minimal residual disease in acute lymphocytic leukemia. , 2003, Haematologica.

[9]  A Orfao,et al.  New methodologic approaches for immunophenotyping acute leukemias. , 2001, Haematologica.

[10]  Michael N Dworzak,et al.  Prognostic significance and modalities of flow cytometric minimal residual disease detection in childhood acute lymphoblastic leukemia. , 2002, Blood.

[11]  F. Behm,et al.  Tandem application of flow cytometry and polymerase chain reaction for comprehensive detection of minimal residual disease in childhood acute lymphoblastic leukemia , 1999, Leukemia.

[12]  Prognostic value of minimal residual disease in acute lymphoblastic leukaemia in childhood , 1998 .

[13]  W. Kamps,et al.  Regenerating normal B‐cell precursors during and after treatment of acute lymphoblastic leukaemia: implications for monitoring of minimal residual disease , 2000, British journal of haematology.

[14]  J. Hancock,et al.  Minimal Residual Disease Status Before Allogeneic Bone Marrow Transplantation Is an Important Determinant of Successful Outcome for Children and Adolescents With Acute Lymphoblastic Leukemia , 1998 .

[15]  L. Foroni,et al.  INVESTIGATION OF MINIMAL RESIDUAL DISEASE IN CHILDHOOD AND ADULT ACUTE LYMPHOBLASTIC LEUKAEMIA BY MOLECULAR ANALYSIS , 1999, British journal of haematology.

[16]  B. Schäfer,et al.  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 , 2008, Leukemia.

[17]  Pui,et al.  Childhood Acute Lymphoblastic Leukemia. , 1997, The oncologist.

[18]  J. V. van Dongen,et al.  Late MRD response determines relapse risk overall and in subsets of childhood T-cell ALL: results of the AIEOP-BFM-ALL 2000 study. , 2011, Blood.

[19]  H. Cavé,et al.  Clinical Significance of Minimal Residual Disease in Childhood Acute Lymphoblastic Leukemia , 1998 .

[20]  A. Órfão,et al.  Minimal residual disease in leukaemia patients. , 2001, The Lancet. Oncology.

[21]  J. V. van Dongen,et al.  Immunophenotypic changes between diagnosis and relapse in childhood acute lymphoblastic leukemia. , 1995, Leukemia.

[22]  J M Bland,et al.  Statistical methods for assessing agreement between two methods of clinical measurement , 1986 .

[23]  J. Cayuela,et al.  Analysis of minimal residual disease by Ig/TCR gene rearrangements: guidelines for interpretation of real-time quantitative PCR data , 2007, Leukemia.

[24]  H. Gadner,et al.  Rapid molecular response during early induction chemotherapy predicts a good outcome in childhood acute lymphoblastic leukemia. , 2000, Blood.

[25]  G. Basso,et al.  Drug-induced immunophenotypic modulation in childhood ALL: implications for minimal residual disease detection , 2005, Leukemia.

[26]  D. Campana,et al.  Detection of minimal residual disease in acute leukemia by flow cytometry. , 1999, Cytometry.

[27]  Maria Grazia Valsecchi,et al.  Risk of relapse of childhood acute lymphoblastic leukemia is predicted by flow cytometric measurement of residual disease on day 15 bone marrow. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[28]  G. Basso,et al.  Expression of CD 58 in normal , regenerating and leukemic bone marrow B cells : implications for the detection of minimal residual disease in acute lymphocytic leukemia , 2003 .

[29]  A. Órfão,et al.  BIOMED-1 Concerted Action report: Flow cytometric characterization of CD7+ cell subsets in normal bone marrow as a basis for the diagnosis and follow-up of T cell acute lymphoblastic leukemia (T-ALL) , 2000, Leukemia.

[30]  D. Campana,et al.  Comparative analysis of flow cytometry and polymerase chain reaction for the detection of minimal residual disease in childhood acute lymphoblastic leukemia , 2004, Leukemia.

[31]  Andrea Faini,et al.  Prednisone induces immunophenotypic modulation of CD10 and CD34 in nonapoptotic B‐cell precursor acute lymphoblastic leukemia cells , 2008, Cytometry. Part B, Clinical cytometry.

[32]  S. Hunger,et al.  Clinical significance of minimal residual disease in childhood acute lymphoblastic leukemia and its relationship to other prognostic factors: a Children's Oncology Group study. , 2008, Blood.

[33]  A. Morley,et al.  Outcome prediction in childhood acute lymphoblastic leukaemia by molecular quantification of residual disease at the end of induction , 1994, The Lancet.

[34]  J. V. van Dongen,et al.  Molecular response to treatment redefines all prognostic factors in children and adolescents with B-cell precursor acute lymphoblastic leukemia: results in 3184 patients of the AIEOP-BFM ALL 2000 study. , 2010, Blood.

[35]  F. Behm,et al.  Prognostic importance of measuring early clearance of leukemic cells by flow cytometry in childhood acute lymphoblastic leukemia. , 2002, Blood.

[36]  A. Órfão,et al.  Flow cytometric analysis of normal B cell differentiation: a frame of reference for the detection of minimal residual disease in precursor-B-ALL , 1999, Leukemia.

[37]  C. Eckert,et al.  Prognostic value of minimal residual disease in relapsed childhood acute lymphoblastic leukaemia , 2001, The Lancet.

[38]  M. Borowitz,et al.  Comparison of diagnostic and relapse flow cytometry phenotypes in childhood acute lymphoblastic leukemia: Implications for residual disease detection: A report from the children's oncology group , 2005, Cytometry. Part B, Clinical cytometry.

[39]  Giuseppe Basso,et al.  Standardization of flow cytometric minimal residual disease evaluation in acute lymphoblastic leukemia: Multicentric assessment is feasible , 2008, Cytometry. Part B, Clinical cytometry.

[40]  G. Basso,et al.  CD99 expression in T-lineage ALL: implications for flow cytometric detection of minimal residual disease , 2004, Leukemia.

[41]  D. Campana,et al.  Advances in the immunological monitoring of childhood acute lymphoblastic leukaemia. , 2002, Best practice & research. Clinical haematology.

[42]  W. Hop,et al.  Prognostic value of minimal residual disease in acute lymphoblastic leukaemia in childhood , 1998, The Lancet.