Search

Relapse remains the most common cause of treatment failure for patients with acute myeloid leukemia (AML) who undergo allogeneic stem cell transplantation (alloSCT), and carries a grave prognosis. Multiple studies have identified the presence of measurable residual disease (MRD) assessed by flow cytometry before alloSCT as a strong predictor of relapse, but it is not clear how these findings apply to patients who test positive in molecular MRD assays, which have far greater sensitivity. We analyzed pretransplant blood and bone marrow samples by reverse-transcription polymerase chain reaction in 107 patients with NPM1-mutant AML enrolled in the UK National Cancer Research Institute AML17 study. After a median follow-up of 4.9 years, patients with negative, low (<200 copies per 105ABL in the peripheral blood and <1000 copies in the bone marrow aspirate), and high levels of MRD had an estimated 2-year overall survival (2y-OS) of 83%, 63%, and 13%, respectively (P < .0001). Focusing on patients with low-level MRD before alloSCT, those with FLT3 internal tandem duplications(ITDs) had significantly poorer outcome (hazard ratio [HR], 6.14; P = .01). Combining these variables was highly prognostic, dividing patients into 2 groups with 2y-OS of 17% and 82% (HR, 13.2; P < .0001). T-depletion was associated with significantly reduced survival both in the entire cohort (2y-OS, 56% vs 96%; HR, 3.24; P = .0005) and in MRD-positive patients (2y-OS, 34% vs 100%; HR, 3.78; P = .003), but there was no significant effect of either conditioning regimen or donor source on outcome. Registered at ISRCTN (http://www.isrctn.com/ISRCTN55675535)., (© 2020 by The American Society of Hematology.)

Purpose We investigated the effect on outcome of measurable or minimal residual disease (MRD) status after each induction course to evaluate the extent of its predictive value for acute myeloid leukemia (AML) risk groups, including NPM1 wild-type (wt) standard risk, when incorporated with other induction response criteria. Methods As part of the NCRI AML17 trial, 2,450 younger adult patients with AML or high-risk myelodysplastic syndrome had prospective multiparameter flow cytometric MRD (MFC-MRD) assessment. After course 1 (C1), responses were categorized as resistant disease (RD), partial remission (PR), and complete remission (CR) or complete remission with absolute neutrophil count < 1,000/µL or thrombocytopenia < 100,000/μL (CRi) by clinicians, with CR/CRi subdivided by MFC-MRD assay into MRD+ and MRD-. Patients without high-risk factors, including Flt3 internal tandem duplication wt/- NPM1-wt subgroup, received a second daunorubicin/cytosine arabinoside induction; course 2 (C2) was intensified for patients with high-risk factors. Results Survival outcomes from PR and MRD+ responses after C1 were similar, particularly for good- to standard-risk subgroups (5-year overall survival [OS], 27% RD v 46% PR v 51% MRD+ v 70% MRD-; P < .001). Adjusted analyses confirmed significant OS differences between C1 RD versus PR/MRD+ but not PR versus MRD+. CRi after C1 reduced OS in MRD+ (19% CRi v 45% CR; P = .001) patients, with a smaller effect after C2. The prognostic effect of C2 MFC-MRD status (relapse: hazard ratio [HR], 1.88 [95% CI, 1.50 to 2.36], P < .001; survival: HR, 1.77 [95% CI, 1.41 to 2.22], P < .001) remained significant when adjusting for C1 response. MRD positivity appeared less discriminatory in poor-risk patients by stratified analyses. For the NPM1-wt standard-risk subgroup, C2 MRD+ was significantly associated with poorer outcomes (OS, 33% v 63% MRD-, P = .003; relapse incidence, 89% when MRD+ ≥ 0.1%); transplant benefit was more apparent in patients with MRD+ (HR, 0.72; 95% CI, 0.31 to 1.69) than those with MRD- (HR, 1.68 [95% CI, 0.75 to 3.85]; P = .16 for interaction). Conclusion MFC-MRD can improve outcome stratification by extending the definition of partial response after first induction and may help predict NPM1-wt standard-risk patients with poor outcome who benefit from transplant in the first CR.

The past 40 years have witnessed major advances in defining the cytogenetic aberrations, mutational landscape, epigenetic profiles, and expression changes underlying hematological malignancies. Although it has become apparent that acute myeloid leukemia (AML) is highly heterogeneous at the molecular level, the standard framework for risk stratification guiding transplant practice in this disease remains largely based on pretreatment assessment of cytogenetics and a limited panel of molecular genetic markers, coupled with morphological assessment of bone marrow (BM) blast percentage after induction. However, application of more objective methodology such as multiparameter flow cytometry (MFC) has highlighted the limitations of morphology for reliable determination of remission status. Moreover, there is a growing body of evidence that detection of subclinical levels of leukemia (ie, minimal residual disease, MRD) using MFC or molecular-based approaches provides powerful independent prognostic information. Consequently, there is increasing interest in the use of MRD detection to provide early end points in clinical trials and to inform patient management. However, implementation of MRD assessment into clinical practice remains a major challenge, hampered by differences in the assays and preferred analytical methods employed between routine laboratories. Although this should be addressed through adoption of standardized assays with external quality control, it is clear that the molecular heterogeneity of AML coupled with increasing understanding of its clonal architecture dictates that a "one size fits all" approach to MRD detection in this disease is not feasible. However, with the range of platforms now available, there is considerable scope to realistically track treatment response in every patient., (© 2014 by The American Society of Hematology. All rights reserved.)

Purpose: Older patients with acute myeloid leukemia (AML) have a high relapse rate after standard chemotherapy. We investigated whether measuring chemotherapy sensitivity by multiparameter flow cytometric minimal residual disease (MFC-MRD) detection has prognostic value in patients older than age 60 years or is simply a surrogate for known age-related risk factors., Patient and Methods: Eight hundred ninety-two unselected patients treated intensively in the United Kingdom National Cancer Research Institute AML16 Trial were assessed prospectively for MFC-MRD during treatment. Eight hundred thirty-three patients had leukemia-associated immunophenotypes (LAIPs) identified by pretreatment screening. Four hundred twenty-seven patients entered complete remission (CR) after one or two courses (designated C1 and C2, respectively) and were MFC-MRD assessable by LAIP detection in CR bone marrow for at least one of these time points. MRD positivity was defined as residual disease detectable by LAIP., Results: MFC-MRD negativity, which was achieved in 51% of patients after C1 (n = 286) and 64% of patients after C2 (n = 279), conferred significantly better 3-year survival from CR (C1: 42% v 26% in MRD-positive patients, P < .001; C2: 38% v 18%, respectively; P < .001) and reduced relapse (C1: 71% v 83% in MRD-positive patients, P < .001; C2: 79% v 91%, respectively; P < .001), with higher risk of early relapse in MRD-positive patients (median time to relapse, 8.5 v 17.1 months, respectively). In multivariable analysis, MRD status at the post-C1 time point independently predicted survival, identifying a subgroup of intermediate-risk patients with particularly poor outcome. However, survival benefit from gemtuzumab ozogamicin was not associated with MFC-MRD chemotherapy sensitivity., Conclusion: Early assessment of treatment response using flow cytometry provides powerful independent prognostic information in older adults with AML, lending support to the incorporation of MRD detection to refine risk stratification and inform clinical trial design in this challenging group of patients.

Reliable detection of JAK2-V617F is critical for accurate diagnosis of myeloproliferative neoplasms (MPNs); in addition, sensitive mutation-specific assays can be applied to monitor disease response. However, there has been no consistent approach to JAK2-V617F detection, with assays varying markedly in performance, affecting clinical utility. Therefore, we established a network of 12 laboratories from seven countries to systematically evaluate nine different DNA-based quantitative PCR (qPCR) assays, including those in widespread clinical use. Seven quality control rounds involving over 21,500 qPCR reactions were undertaken using centrally distributed cell line dilutions and plasmid controls. The two best-performing assays were tested on normal blood samples (n=100) to evaluate assay specificity, followed by analysis of serial samples from 28 patients transplanted for JAK2-V617F-positive disease. The most sensitive assay, which performed consistently across a range of qPCR platforms, predicted outcome following transplant, with the mutant allele detected a median of 22 weeks (range 6-85 weeks) before relapse. Four of seven patients achieved molecular remission following donor lymphocyte infusion, indicative of a graft vs MPN effect. This study has established a robust, reliable assay for sensitive JAK2-V617F detection, suitable for assessing response in clinical trials, predicting outcome and guiding management of patients undergoing allogeneic transplant.

Quantitative PCR (qPCR) for detection of fusion transcripts and overexpressed genes is a promising tool for following minimal residual disease (MRD) in patients with hematological malignancies. Its widespread clinical use has to some extent been hampered by differences in data analysis and presentation that complicate multicenter clinical trials. To address these issues, we designed a highly flexible MRD-reporting software program, in which data from various qPCR platforms can be imported, processed, and presented in a uniform manner to generate intuitively understandable reports. The software was tested in a two-step quality control (QC) study; the first step involved eight centers, whose previous experience with the software ranged from none to extensive. The participants received cDNA from consecutive samples from a BCR-ABL+ chronic myeloid leukemia (CML) patient and an acute myeloid leukemia (AML) patient with both CBFβ-MYH11 and WT1 target genes, they conducted qPCR on their respective hardware platforms and generated a series of reports with pre-defined features. In step two, five centers used the software to report BCR-ABL+ MRD in a harmonized manner, applying their recently obtained CML international scale conversion factors. The QC study demonstrated that this MRD-reporting software is suitable for efficient handling of qPCR data, generation of MRD reports and harmonization of MRD data.

Purpose: Risk stratification in acute myeloid leukemia (AML) is currently based on pretreatment characteristics. It remains to be established whether relapse risk can be better predicted through assessment of minimal residual disease (MRD). One proposed marker is the Wilms tumor gene WT1, which is overexpressed in most patients with AML, thus providing a putative target for immunotherapy, although in the absence of a standardized assay, its utility for MRD monitoring remains controversial., Patients and Methods: Nine published and in-house real-time quantitative polymerase chain reaction WT1 assays were systematically evaluated within the European LeukemiaNet; the best-performing assay was applied to diagnostic AML samples (n = 620), follow-up samples from 129 patients treated with intensive combination chemotherapy, and 204 normal peripheral blood (PB) and bone marrow (BM) controls., Results: Considering relative levels of expression detected in normal PB and BM, WT1 was sufficiently overexpressed to discriminate > or = 2-log reduction in transcripts in 46% and 13% of AML patients, according to the respective follow-up sample source. In this informative group, greater WT1 transcript reduction after induction predicted reduced relapse risk (hazard ratio, 0.54 per log reduction; 95% CI, 0.36 to 0.83; P = .004) that remained significant when adjusted for age, WBC count, and cytogenetics. Failure to reduce WT1 transcripts below the threshold limits defined in normal controls by the end of consolidation also predicted increased relapse risk (P = .004)., Conclusion: Application of a standardized WT1 assay provides independent prognostic information in AML, lending support to incorporation of early assessment of MRD to develop more robust risk scores, to enhance risk stratification, and to identify patients who may benefit from allogeneic transplantation.

Purpose: Molecular diagnostics and early assessment of treatment response that use methodologies capable of detecting submicroscopic disease can distinguish subgroups of patients with leukemia at differing relapse risk. Such information is being incorporated into risk-stratified protocols; however, there are few data concerning prospective use of sequential minimal residual disease (MRD) monitoring to identify more precisely those patients destined to experience relapse, which would allow more tailored therapies., Methods: Real-time quantitative polymerase chain reaction (RQ-PCR) assays to detect leukemia-specific transcripts (ie, PML-RARA, RARA-PML) were used to prospectively analyze 6,727 serial blood and marrow samples from 406 patients with newly diagnosed acute promyelocytic leukemia (APL) who were receiving all-trans-retinoic acid and anthracycline-based chemotherapy., Results: MRD monitoring according to the recommended schedule successfully identified the majority of patients subject to relapse and provided the most powerful predictor of relapse-free survival (RFS) in multivariable analysis (hazard ratio, 17.87; 95% CI, 6.88 to 46.41; P < .0001); MRD monitoring was far superior to presenting WBC (hazard ratio, 1.02; 95% CI, 1.00 to 1.03; P = .02), which is currently widely used to guide therapy. In patients who were predicted to experience relapse on the basis of MRD monitoring, early treatment intervention with arsenic trioxide prevented progression to overt relapse in the majority, and the RFS rate at 1 year from molecular relapse was 73%. By using this strategy, 3-year cumulative incidence of clinical relapse was only 5% in the Medical Research Council AML15 trial., Conclusion: Rigorous sequential RQ-PCR monitoring provides the strongest predictor of RFS in APL and, when coupled with pre-emptive therapy, provides a valid strategy to reduce rates of clinical relapse. This provides a model for development of a more individualized approach to management of other molecularly defined subtypes of acute leukemia.

To evaluate current detection methods for FIP1L1-PDGFRA in hypereosinophilic syndrome (HES), we developed a means to rapidly amplify genomic break points. We screened 202 cases and detected genomic junctions in all samples previously identified as RT-PCR positive (n=43). Genomic fusions were amplified by single step PCR in all cases whereas only 22 (51%) were single step RT-PCR positive. Importantly, FIP1L1-PDGFRA was detected in two cases that initially tested negative by RT-PCR or fluorescence in situ hybridization. Absolute quantitation of the fusion by real-time PCR from genomic DNA (gDNA) using patient-specific primer/probe combinations at presentation (n=13) revealed a 40-fold variation between patients (range, 0.027-1.1 FIP1L1-PDGFRA copies/haploid genome). In follow up samples, quantitative analysis of gDNA gave 1-2 log greater sensitivity than RQ-PCR of cDNA. Minimal residual disease assessment using gDNA showed that 11 of 13 patients achieved complete molecular response to imatinib within a median of 9 months (range, 3-17) of starting treatment, with a sensitivity of detection of up to 1 in 10(5). One case relapsed with an acquired D842V mutation. We conclude that detection of FIP1L1-PDGFRA from gDNA is a useful adjunct to standard diagnostic procedures and enables more sensitive follow up of positive cases after treatment.

The last three decades have seen major advances in understanding the genetic basis of acute myeloid leukemia (AML). Comprehensive molecular and cytogenetic analysis can distinguish biologically and prognostically distinct disease subsets that demand differing treatment approaches. Definition of these pretreatment characteristics coupled with morphological response to induction chemotherapy provides the framework for current risk-stratification schemes, aimed at identifying subgroups most (and least) likely to benefit from allogeneic transplant. However, since such parameters lack the precision to distinguish the individual patient likely to be cured with conventional therapy from those destined to relapse, there has been considerable interest in development of multiparameter flow cytometry, identifying leukemia-associated aberrant phenotypes, and real-time quantitative polymerase chain reaction (RQ-PCR) detecting leukemia-specific targets (eg, fusion gene transcripts, NPM1 mutation) or genes overexpressed in AML (eg, WT1), to provide a more precise measure of disease response. Minimal residual disease (MRD) monitoring has been shown to be a powerful independent prognostic factor and is now routinely used to guide therapy in patients with the acute promyelocytic leukemia (APL) subtype. We consider the challenges involved in extending this concept, to develop a more tailored personalized medicine approach to improve the management and outcome of other forms of AML.

The continued improvement in the prognosis of childhood acute myeloid leukaemia (AML) has been paralleled by the use of increasingly intensive therapy. This has led to attempts to develop risk-directed strategies in which the most intensive treatment is reserved for those at highest risk of relapse. Unfortunately, current approaches, which rely on cytogenetic sub-grouping and morphological assessment of response to therapy, are inaccurate. New prognostic factors are needed. This annotation proposes that the introduction of protocols based on the measurement of minimal residual disease (MRD) holds the key to progression from an era of 'cure at all costs' to a more individualised approach. However, the full potential of MRD technologies will only be realised through properly designed studies with scrupulous attention to logistics and quality assurance. The article illustrates which children may benefit most from MRD analysis in AML and explores practical issues that should be addressed in the design of clinical trials.