• This record comes from PubMed

Minimal residual disease prior to allogeneic hematopoietic cell transplantation in acute myeloid leukemia: a meta-analysis

. 2017 May ; 102 (5) : 865-873. [epub] 20170125

Language English Country Italy Media print-electronic

Document type Journal Article, Meta-Analysis, Systematic Review

Grant support
T32 HL007093 NHLBI NIH HHS - United States
UL1 TR002494 NCATS NIH HHS - United States

Links

PubMed 28126965
PubMed Central PMC5477605
DOI 10.3324/haematol.2016.159343
PII: haematol.2016.159343
Knihovny.cz E-resources

Minimal residual disease prior to allogeneic hematopoietic cell transplantation has been associated with increased risk of relapse and death in patients with acute myeloid leukemia, but detection methodologies and results vary widely. We performed a systematic review and meta-analysis evaluating the prognostic role of minimal residual disease detected by polymerase chain reaction or multiparametric flow cytometry before transplant. We identified 19 articles published between January 2005 and June 2016 and extracted hazard ratios for leukemia-free survival, overall survival, and cumulative incidences of relapse and non-relapse mortality. Pre-transplant minimal residual disease was associated with worse leukemia-free survival (hazard ratio=2.76 [1.90-4.00]), overall survival (hazard ratio=2.36 [1.73-3.22]), and cumulative incidence of relapse (hazard ratio=3.65 [2.53-5.27]), but not non-relapse mortality (hazard ratio=1.12 [0.81-1.55]). These associations held regardless of detection method, conditioning intensity, and patient age. Adverse cytogenetics was not an independent risk factor for death or relapse. There was more heterogeneity among studies using flow cytometry-based than WT1 polymerase chain reaction-based detection (I2=75.1% vs. <0.1% for leukemia-free survival, 67.8% vs. <0.1% for overall survival, and 22.1% vs. <0.1% for cumulative incidence of relapse). These results demonstrate a strong relationship between pre-transplant minimal residual disease and post-transplant relapse and survival. Outcome heterogeneity among studies using flow-based methods may underscore site-specific methodological differences or differences in test performance and interpretation.

Anthony Nolan Research Institute London UK

Biostatistics and Bioinformatics Core Masonic Cancer Center University of Minnesota Minneapolis MN USA

Clinical Research Division Fred Hutchinson Cancer Research Center Seattle WA USA

Department of Biomedical Informatics University of Washington Seattle WA USA

Department of Epidemiology University of Washington Seattle WA USA

Department of Health Services University of Washington Seattle WA USA

Department of Hematology Fondazione Policlinico Tor Vergata Rome Italy

Department of Medicine Division of Hematology University of Washington Seattle WA USA

Department of Pediatrics Jena University Hospital Germany

Division of Hematology Oncology and Transplantation Department of Medicine University of Minnesota Minneapolis MN USA

Division of Hematopathology Department of Laboratory Medicine and Pathology University of Minnesota Minneapolis MN USA

Division of Hematopathology Department of Laboratory Medicine University of Washington Seattle WA USA

Experimental Transplantation and Immunology Branch Center for Cancer Research National Cancer Institute National Institutes of Health Bethesda MD USA

Hematology Branch National Heart Lung and Blood Institute National Institutes of Health Bethesda MD USA

Hematology Oncology Fellowship Program University of Washington Seattle WA USA

Institute of Haematology and Blood Transfusion Prague Czech Republic

Pharmaceutical Outcomes Research and Policy Program University of Washington Seattle WA USA

Public Health Sciences Division Fred Hutchinson Cancer Research Center Seattle WA USA

Royal Marsden Hospital London UK

Sidney Kimmel Comprehensive Cancer Center Johns Hopkins University School of Medicine Baltimore MD USA

Unit of Blood Diseases and Stem Cell Transplantation University of Brescia A O Spedali Civili Italy

See more in PubMed

Bisel HF. Criteria for the evaluation of response to treatment in acute leukemia. Blood. 1956;11:676–677.

Cheson BD, Bennett JM, Kopecky KJ, et al. RevisedRevised recommendations of the International Working Group for diagnosis, standardization of response criteria, treatment outcomes, and reporting standards for therapeutic trials in acute myeloid leukemia. J Clin Oncol. 2003;21(24):4642–4649. PubMed

Döhner H, Estey EH, Amadori S, et al. Diagnosis and management of acute myeloid leukemia in adults: recommendations from an international expert panel, on behalf of the European LeukemiaNet. Blood. 2010;115(3):453–474. PubMed

Ferrara F, Schiffer CA. Acute myeloid leukaemia in adults. Lancet. 2013;381(9865):484–495. PubMed

Döhner H, Weisdorf DJ, Bloomfield CD. Acute myeloid leukemia. N Engl J Med. 2015;373(12):1136–1152. PubMed

Harrison WJ. The total cellularity of the bone marrow in man. J Clin Pathol. 1962; 15:254–259. PubMed PMC

Coustan-Smith E, Campana D. Should evaluation for minimal residual disease be routine in acute myeloid leukemia? Curr Opin Hematol. 2013;20(2):86–92. PubMed

Hourigan CS, Karp JE. Minimal residual disease in acute myeloid leukaemia. Nat Rev Clin Oncol. 2013;10(8):460–471. PubMed PMC

Grimwade D, Freeman SD. Defining minimal residual disease in acute myeloid leukemia: which platforms are ready for “prime time”? Blood. 2014;124(23):3345–3355. PubMed

Paietta E. Minimal residual disease in acute myeloid leukemia: coming of age. Hematology Am Soc Hematol Educ Program. 2012;2012:35–42. PubMed

Hokland P, Ommen HB, Mulé MP, Hourigan CS. Advancing the minimal residual disease concept in acute myeloid leukemia. Semin Hematol. 2015;52(3):184–192. PubMed PMC

Ommen HB. Monitoring minimal residual disease in acute myeloid leukaemia: a review of the current evolving strategies. Ther Adv Hematol. 2016;7(1):3–16. PubMed PMC

Hayden JA, van der Windt DA, Cartwright JL, Cote P, Bombardier C. Assessing bias in studies of prognostic factors. Ann Intern Med. 2013;158(4):280–286. PubMed

Broglio KR, Quintana M, Foster M, et al. Association of pathologic complete response to neoadjuvant therapy in HER2-positive breast cancer with long-term outcomes: a meta-analysis. JAMA Oncol. 2016;2(6):751–760. PubMed

Tierney JF, Stewart LA, Ghersi D, Burdett S, Sydes MR. Practical methods for incorporating summary time-to-event data into meta-analysis. Trials. 2007;8:16. PubMed PMC

Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002;21(11):1539–1558. PubMed

Candoni A, Toffoletti E, Gallina R, et al. Monitoring of minimal residual disease by quantitative WT1 gene expression following reduced intensity conditioning allogeneic stem cell transplantation in acute myeloid leukemia. Clin Transplant. 2011;25(2):308–316. PubMed

Jacobsohn DA, Tse WT, Chaleff S, et al. High WT1 gene expression before haematopoietic stem cell transplant in children with acute myeloid leukaemia predicts poor event-free survival. Br J Haematol. 2009;146(6):669–674. PubMed

Rossi G, Carella AM, Minervini MM, et al. Optimal time-points for minimal residual disease monitoring change on the basis of the method used in patients with acute myeloid leukemia who underwent allogeneic stem cell transplantation: a comparison between multiparameter flow cytometry and Wilms’ tumor 1 expression. Leuk Res. 2015;39(2):138–143. PubMed

Olszewski M, Chou PM, Huang W, Tallman S, Kletzel M. Correlation of minimal residual disease by assessing Wilms tumor gene expression and engraftment by variable number of tandem repeats in children with leukemia posthematopoietic stem cell transplantation. Pediatr Dev Pathol. 2006;9(3): 203–209. PubMed

Kanakry CG, Tsai HL, Bolanos-Meade J, et al. Single-agent GVHD prophylaxis with posttransplantation cyclophosphamide after myeloablative, HLA-matched BMT for AML, ALL, and MDS. Blood. 2014;124(25):3817–3827. PubMed PMC

Anthias C, Dignan FL, Morilla R, et al. Pre-transplant MRD predicts outcome following reduced-intensity and myeloablative allogeneic hemopoietic SCT in AML. Bone Marrow Transplant. 2014;49(5):679–683. PubMed

Buccisano F, Maurillo L, Spagnoli A, et al. Cytogenetic and molecular diagnostic characterization combined to postconsolidation minimal residual disease assessment by flow cytometry improves risk stratification in adult acute myeloid leukemia. Blood. 2010;116(13):2295–2303. PubMed

Araki D, Wood BL, Othus M, et al. Allogeneic hematopoietic cell transplantation for acute myeloid leukemia: time to move toward a minimal residual disease-based definition of complete remission? J Clin Oncol. 2016;34(4):329–336. PubMed PMC

Zheng C, Zhu X, Tang B, et al. The impact of pre-transplant minimal residual disease on outcome of intensified myeloablative cord blood transplant for acute myeloid leukemia in first or second complete remission. Leuk Lymphoma. 2016;57(6):1398–1405. PubMed

Bleyzac N, Cuzzubbo D, Renard C, et al. Improved outcome of children transplanted for high-risk leukemia by using a new strategy of cyclosporine-based GVHD prophylaxis. Bone Marrow Transplant. 2016; 51(5):698–704. PubMed

Ustun C, Courville EL, DeFor T, et al. Myeloablative, but not reduced-intensity, conditioning overcomes the negative dffect of flow-cytometric evidence of leukemia in acute myeloid leukemia. Biol Blood Marrow Transplant. 2016;22(4):669–675. PubMed PMC

Tian H, Chen GH, Xu Y, et al. Impact of pre-transplant disease burden on the outcome of allogeneic hematopoietic stem cell trans plant in refractory and relapsed acute myeloid leukemia: a single-center study. Leuk Lymphoma. 2015;56(5):1353–1361. PubMed

Walter RB, Gyurkocza B, Storer BE, et al. Comparison of minimal residual disease as outcome predictor for AML patients in first complete remission undergoing myeloablative or nonmyeloablative allogeneic hematopoietic cell transplantation. Leukemia. 2015;29(1):137–144. PubMed PMC

Woehlecke C, Wittig S, Arndt C, Gruhn B. Prognostic impact of WT1 expression prior to hematopoietic stem cell transplantation in children with malignant hematological diseases. J Cancer Res Clin Oncol. 2015;141(3): 523–529. PubMed PMC

Goswami M, McGowan KS, Lu K, et al. A multigene array for measurable residual disease detection in AML patients undergoing SCT. Bone Marrow Transplant. 2015;50(5):642–651. PubMed PMC

Valkova V, Polak J, Markova M, et al. Minimal residual disease detectable by quantitative assessment of WT1 gene before allogeneic stem cell transplantation in patients in first remission of acute myeloid leukemia has an impact on their future prognosis. Clin Transplant. 2013;27(1):E21–29. PubMed

Bastos-Oreiro M, Perez-Corral A, Martinez-Laperche C, et al. Prognostic impact of minimal residual disease analysis by flow cytometry in patients with acute myeloid leukemia before and after allogeneic hemopoietic stem cell transplantation. Eur J Haematol. 2014;93(3):239–246. PubMed

Wang Y, Liu DH, Liu KY, et al. Impact of pre-transplantation risk factors on post transplantation outcome of patients with acute myeloid leukemia in remission after haploidentical hematopoietic stem cell transplantation. Biol Blood Marrow Transplantat. 2013;19(2):283–290. PubMed

Grubovikj RM, Alavi A, Koppel A, Territo M, Schiller GJ. Minimal residual disease as a predictive factor for relapse after allogeneic hematopoietic stem cell transplant in adult patients with acute myeloid leukemia in first and second complete remission. Cancers (Basel). 2012;4(2):601–617. PubMed PMC

Leung W, Pui CH, Coustan-Smith E, et al. Detectable minimal residual disease before hematopoietic cell transplantation is prognostic but does not preclude cure for children with very-high-risk leukemia. Blood. 2012;120(2):468–472. PubMed PMC

Laane E, Derolf AR, Bjorklund E, et al. The effect of allogeneic stem cell transplantation on outcome in younger acute myeloid leukemia patients with minimal residual disease detected by flow cytometry at the end of post-remission chemotherapy. Haematologica. 2006;91(6):833–836. PubMed

van Dongen JJ, van der Velden VH, Bruggemann M, Orfao A. Minimal residual disease diagnostics in acute lymphoblastic leukemia: need for sensitive, fast, and standardized technologies. Blood. 2015;125(26): 3996–4009. PubMed PMC

Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–560. PubMed PMC

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...