Literature DB >> 33373276

Augmented Reduced-Intensity Regimen Does Not Improve Postallogeneic Transplant Outcomes in Acute Myeloid Leukemia.

Charles Craddock1,2, Aimee Jackson2, Justin Loke1, Shamyla Siddique2, Andrea Hodgkinson2, John Mason2, Georgia Andrew3, Sandeep Nagra1, Ram Malladi4, Andrew Peniket5, Maria Gilleece6, Rahuman Salim7, Eleni Tholouli8, Victoria Potter9, Charles Crawley4, Keith Wheatley2, Rachel Protheroe10, Paresh Vyas5, Ann Hunter11, Anne Parker12, Keith Wilson13, Jiri Pavlu14, Jenny Byrne15, Richard Dillon16, Naeem Khan3, Nicholas McCarthy3, Sylvie D Freeman3.   

Abstract

PURPOSE: Reduced-intensity conditioning (RIC) regimens have extended the curative potential of allogeneic stem-cell transplantation to older adults with high-risk acute myeloid leukemia (AML) and myelodysplasia (MDS) but are associated with a high risk of disease relapse. Strategies to reduce recurrence are urgently required. Registry data have demonstrated improved outcomes using a sequential transplant regimen, fludarabine/amsacrine/cytarabine-busulphan (FLAMSA-Bu), but the impact of this intensified conditioning regimen has not been studied in randomized trials. PATIENTS AND METHODS: Two hundred forty-four patients (median age, 59 years) with high-risk AML (n = 164) or MDS (n = 80) were randomly assigned 1:1 to a fludarabine-based RIC regimen or FLAMSA-Bu. Pretransplant measurable residual disease (MRD) was monitored by flow cytometry (MFC-MRD) and correlated with outcome.
RESULTS: There was no difference in 2-year overall survival (hazard ratio 1.05 [85% CI, 0.80 to 1.38] P = .81) or cumulative incidence of relapse (CIR) (hazard ratio 0.94 [95%CI, 0.60 to 1.46] P = .81) between the control and FLAMSA-Bu arms. Detectable pretransplant MFC-MRD was associated with an increased CIR (2-year CIR 41.0% v 20.0%, P = .01) in the overall trial cohort with a comparable prognostic impact when measured by an unsupervised analysis approach. There was no evidence of interaction between MRD status and conditioning regimen intensity for relapse or survival. Acquisition of full donor T-cell chimerism at 3 months abrogated the adverse impact of pretransplant MRD on CIR and overall survival.
CONCLUSION: The intensified RIC conditioning regimen, FLAMSA-Bu, did not improve outcomes in adults transplanted for high-risk AML or MDS regardless of pretransplant MRD status. Our data instead support the exploration of interventions with the ability to accelerate acquisition of full donor T-cell chimerism as a tractable strategy to improve outcomes in patients allografted for AML.

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Year:  2020        PMID: 33373276      PMCID: PMC8078252          DOI: 10.1200/JCO.20.02308

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


INTRODUCTION

Allogeneic stem-cell transplantation (allo-SCT) is an increasingly important treatment modality in adults with acute myeloid leukemia (AML) and myelodysplasia (MDS). The advent of reduced-intensity conditioning (RIC) regimens has permitted the extension of a potentially curative graft-versus-leukemia (GVL) effect to older patients in whom transplantation using myeloablative conditioning (MAC) is precluded by excess toxicity.[1] Indeed, the majority of allografts performed in the United States now use an RIC regimen.

CONTEXT

Key Objective The FIGARO study is the first prospective trial to examine the impact of an intensified conditioning regimen (FLAMSA-Bu) alongside the impact of pretransplant flow cytometric measurable residual disease (MRD) on transplant outcome in patients allografted for acute myeloid leukemia (AML) or myelodysplasia (MDS). Knowledge Generated The results of FIGARO demonstrate that pretransplant flow cytometric MRD is correlated with an increased risk of disease relapse after a reduced-intensity allograft by both conventional and unsupervised MRD analyses. Random assignment to an intensified sequential conditioning regimen failed to improve transplant outcome regardless of pretransplant MRD status. Relevance Our data do not support the use of an intensified sequential conditioning regimen as a strategy to improve transplant outcome, regardless of pretransplant MRD status. The results further demonstrate the importance of flow cytometry-determined MRD as a pretransplant risk characteristic in patients with AML or high-risk MDS. In patients with AML and MDS, the use of an RIC regimen is associated with a higher rate of disease relapse than is observed with myeloablative transplants.[2] Despite the fact that relapse remains the dominant cause of transplant failure, no effective strategies have yet been identified to reduce the risk of disease recurrence after an RIC allograft. Indeed, although a multiplicity of RIC regimens have been developed, most using a fludarabine backbone,[3,4] there have been very few randomized studies to inform choice of regimen, and as a result, clinical practice worldwide is heterogeneous. Single-arm studies using a sequential fludarabine/amasacrine/cytarabine regimen, in which amsacrine-based cytoreductive chemotherapy is delivered 7-14 days prior to a conventional RIC allograft incorporating either low dose total body irradiation or busulphan (Bu), have been reported to reduce the risk of relapse in high-risk AML.[5-7] However, despite the widespread adoption of this regimen in the management of high-risk AML, its benefits have never been examined in a randomized trial. The presence of measurable residual disease (MRD) measured by flow cytometry, quantitative polymerase chain reaction, or more recently next-generation sequencing (NGS) is an important determinant of disease relapse in adults with AML treated with intensive chemotherapy.[8-15,16] Although retrospective studies have shown that the presence of pretransplant MRD is associated with an increased risk of relapse post-transplant,[17-30] the reported effect size varies widely and prospective studies addressing the prognostic value of pretransplant flow cytometric MRD, the most commonly used and widely applicable AML MRD technology, are lacking. Hourigan et al[31] recently reported that the presence of pretransplant MRD in the peripheral blood, determined by an innovative but currently research-restricted NGS strategy, was associated with an increase in relapse in recipients of RIC but not MAC regimens, but this study did not examine the impact of flow-determined pretransplant MRD on outcome. The FIGARO trial compared the outcomes of patients with high-risk AML and MDS transplanted using an intensified FLAMSA-Bu regimen with those receiving a conventional fludarabine-based RIC regimen. The impact of flow cytometric MRD on transplant outcomes was prospectively determined in trial patients.

PATIENTS AND METHODS

Study Design

FIGARO, an open label phase II randomized trial, was performed in 20 UK transplant centers and recruited patients from October 2013 to February 2017. The trial Protocol (online only; EudraCT 2012-005538-12) was approved by the UK research ethics service, National Research Ethics Service (NRES). An independent data monitoring committee oversaw the trial. Patients were randomly assigned in a one-to-one ratio via a minimization algorithm stratified by underlying disease, cytogenetic risk group, disease status at transplant, intended control transplant regimen, age, and donor type.

Patients

Patients were eligible for trial entry if they had a WHO-defined diagnosis of AML or high-risk MDS, were undergoing their first allo-SCT from a matched sibling or unrelated donor, and had been deemed ineligible for a MAC regimen on the grounds of age or comorbidity. Patients were of age 22 to 75, had a Hematopoietic Cell Transplant-Comorbidity Index (HCT-CI) score of 0-6, and were transplanted using peripheral blood– or bone marrow (BM)–derived stem cells from an HLA identical (HLA-A/-B/-C/-DRbeta1) matched sibling or ≥ 7/8 HLA-A/-B/-C/-DRbeta1 adult-unrelated donor. All patients with AML were in complete remissions (CR1 and CR2) or had primary refractory AML (defined by failure to achieve a morphological CR after two courses of induction chemotherapy). High-risk MDS was defined as patients with an International Prognostic Scoring System score of intermediate-1 with > 5% blasts or intermediate-2 or high risk who had < 5% blasts at the time of random assignment. Cytogenetic risk group was classified as described previously.[32]

Conditioning Regimens and GVHD Prophylaxis

Patients were randomly assigned 1:1 to a control arm determined by the investigator's choice of Flu/B2/anti-thymocyte globulin (ATG), Flu/Mel/alemtuzumab (A), or Flu/Bu2/A (details given in the Data Supplement, online only) versus an experimental arm of FLAMSA-Bu (Flu, cytarabine [araC] 2 g/m2 once a day × 4 days, amsacrine [AMSA] 100 mg/m2 once a day × 4 days, intravenous Bu total dose 11.2 mg/kg) and ATG 5 mg/kg over 3 days. Patients of age > 60 years received an adjusted FLAMSA-Bu regimen using a reduced dose of araC (1 g/m2 once a day × 4 days) and Bu (8 mg/kg total). However, after the first 31 patients had received treatment on the experimental arm, additional safety information was published with regard to the FLAMSA-Bu regimen in patients of age ≥ 60 years. The experimental regimen in the subsequent 77 patients was modified to Flu, araC 1 g/m2 once a day × 4 days, AMSA 100 mg/m2 once a day × 4 days, and Bu 6.4 mg/kg for those patients who were > 60 years. All patients received ciclosporin graft-versus-host-disease (GVHD) prophylaxis. Supportive care was according to institutional guidelines. All patients were formally reviewed at day + 100, 6, and 12 months post-transplant. BMs to determine remission status were reviewed at day + 42, and months 3, 6, 9, and 12 post-transplant. T-cell lineage chimerism was assessed at months 3, 6, 9, and 12 post-transplant.

MRD Quantitation

BMs for multiparameter flow cytometric (MFC) detection of MRD were obtained pretransplant (within 4 weeks of transplant) and at day + 42 post-transplant. Sample logistics, processing, and analysis strategy are provided in the Data Supplement. MFC-MRD analysis was performed centrally, using a standardized manual gating strategy that screened blasts for different-from-normal leukemia-associated immunophenotypes (LAIPs) and any previously identified baseline LAIPs when available. Samples were reported as MRD-negative if no baseline and/or different-from-normal LAIP cells could be quantitated above the limit of detection (approximately 0.02%-0.05%). The results were not reported to treating clinicians. Recognizing the potential for variation in manual MFC-MRD analysis, an unsupervised approach was applied as an independent measurement of LAIPs. This incorporated (1) a multidimensional clustering algorithm to maximize information from the LAIP marker combinations and (2) statistical criteria to discriminate blast subpopulations that were immunophenotypically most aberrant (compared with reference ranges established from 40 control BMs) and above the limit of quantitation (Data Supplement). The analytic method, similar to standard different-from-normal MFC-MRD, did not require diagnostic samples. Unsupervised MFC-MRD percentages were higher than conventional MFC-MRD as the former summated all quantifiable nonoverlapping abnormal blast subpopulations from an antibody combination, whereas conventional MFC-MRD values are from a single LAIP. Concordance between methods was strongest at higher MRD levels (Data Supplement). The unsupervised MFC-MRD combined test criteria included results from a third antibody combination (stem and progenitor) in addition to standard LAIP markers; positivity required detection of aberrant blasts in at least two of the three antibody combinations (Data Supplement).

Outcomes

The primary outcome was overall survival (OS) defined on an intention-to-treat basis. A sensitivity analysis was conducted to assess OS in a per-protocol population. Secondary outcome measures included event-free survival (EFS), cumulative incidence of relapse (CIR), incidence of GVHD, and transplant-related mortality (TRM). Acute and chronic GVHD were scored according to published criteria.[33,34] Nonhematological grade 3-4 adverse events were classified according to Common Terminology Criteria for Adverse Events Version 4.0.

Statistical Analysis

The sample size was calculated on the basis of previously published data and clinical judgment. Assuming a 2-year OS in the control arm of 25%, to detect a 15% improvement in the experimental arm, a total of at least 214 patients (two-sided α = 0.15 and β = 0.16) were required. To account for the likelihood that 10% of randomly assigned patients would not proceed to transplant, the trial aimed to recruit a minimum of 240 patients. Analysis was conducted in line with the predefined statistical analysis plan on the intention-to-treat population unless otherwise stated. Per-protocol population analysis was restricted to patients who had commenced the conditioning regimen. Standard analysis methods were employed as further outlined in the Data Supplement. Additional analysis in the per-protocol populations was conducted to assess the effect on OS, CIR, and TRM of pretransplant MRD by the different MFC-MRD analysis methods and for various MRD thresholds. No adjustment for multiple testing was made within the MRD threshold analysis; however, the results are interpreted with caution and focused on identifying the highest level of discrimination from a range of significant results.

RESULTS

Enrollment

Of 255 patients screened for trial entry, 244 fulfilled eligibility criteria and were randomly assigned to receive trial therapy (Fig 1). Twenty-eight randomly assigned patients did not receive their allocated treatment (two deaths, 14 withdrawn because of clinical deterioration or patient or physician choice, and 12 relapses prior to transplant). Of the 108 patients who were transplanted on the control arm, 63 received Flu/B2/ATG, 31 Flu/Mel/A, and 14 Flu/B2/A. The median follow-up was 35 months. Patient and transplant characteristics of randomly assigned patients are summarized in Table 1. One hundred sixty-four patients had an initial diagnosis of AML of whom 154 were in CR1 or CR2 and nine had primary refractory AML at the time of random assignment. Eighty patients had high-risk MDS. The median age of the study population was 59 years (range, 22-75 years).
FIG 1.

Trial CONSORT diagram. FBA, fludarabine/busulphan/alemtuzumab; FB-ATG, fludarabine/busulphan/antithymocyte globulin; FMA, fludarabine/melphalan/alemtuzumab; FLAMSA-Bu, fludarabine/amsacrine/cytarabine-busulphan.

TABLE 1.

Patient Characteristics by Random Assignment

Trial CONSORT diagram. FBA, fludarabine/busulphan/alemtuzumab; FB-ATG, fludarabine/busulphan/antithymocyte globulin; FMA, fludarabine/melphalan/alemtuzumab; FLAMSA-Bu, fludarabine/amsacrine/cytarabine-busulphan. Patient Characteristics by Random Assignment

Survival

The 2-year OS was 58.8% in patients treated on the control arm and 60.9% in patients assigned to FLAMSA-Bu (hazard ratio [HR] 1.05 [85% CI, 0.80 to 1.38] log-rank P value = .81; Fig 2A). The EFS at 2 years was 48.7% in the control arm versus 54.2% for FLAMSA-Bu (HR 0.96 [95% CI, 0.68 to 1.35] log-rank P value = .82; Fig 2B). Two-year OS and EFS were similar between both arms in a per-protocol sensitivity analysis (Data Supplement). In the preplanned subgroup analysis, no survival benefit of the FLAMSA-Bu regimen was evident in patients diagnosed with either AML or MDS, in patients with AML according to cytogenetic risk category, or in patients under or over 60 years of age. No difference in outcome was evident when analysis was restricted to patients over 60 in the experimental arm after adoption of the Protocol amendment.
FIG 2.

(A) OS, (B) EFS, and (C) CIR by conditioning regimen in the intention-to-treat population. 85% CIs are reported for overall survival to align with the type I error rate applied in the sample size calculation (described in the Data Supplement). CIR, cumulative incidence of relapse; EFS, event-free survival; FLAMSA-Bu, fludarabine/amsacrine/cytarabine-busulphan; HR, hazard ratio; OS, overall survival.

(A) OS, (B) EFS, and (C) CIR by conditioning regimen in the intention-to-treat population. 85% CIs are reported for overall survival to align with the type I error rate applied in the sample size calculation (described in the Data Supplement). CIR, cumulative incidence of relapse; EFS, event-free survival; FLAMSA-Bu, fludarabine/amsacrine/cytarabine-busulphan; HR, hazard ratio; OS, overall survival.

Transplant-Related Mortality, GVHD, and Disease Relapse

The 1-year TRM was 16.8% in the control arm and 20.5% in the experimental arm (HR 1.20 [95% CI, 0.68 to 2.13], Gray's test P value = .53). There were no statistically significant differences in the cumulative incidences of acute GVHD at day + 100 (with death and relapse as competing events) between the control and FLAMSA-Bu arms (grades 2-4, 10.1% v 8.3%, Gray's test P value = .93; grade 3-4, 1.7% v 5.8%, Gray's test P value = .23). The cumulative incidence of chronic GVHD at 1 year was 25.2% and 19.2% in the control and FLAMSA-Bu arms, respectively (Gray's test P value = .53). Twenty-eight patients received DLI in the control arm (19 for mixed chimerism from day + 115, nine for relapse) and 14 in the experimental arm (10 for mixed chimerism from day + 104, four for relapse) (Data Supplement). There was no evidence of DLI impact on the incidence of GVHD with eight and five episodes of chronic GVHD post-DLI in the control and FLAMSA-Bu arms, respectively. The 2-year CIR was 29.5% in patients in the control arm and 26.7% in patients assigned FLAMSA-Bu (Fig 2C) (Gray's test P value = .81). There was no statistically significant effect of disease (AML v MDS), patient age, and treatment arm (including by different control regimens) on relapse risk (Data Supplement).

Pretransplant MRD Status and Post-Transplant Outcome

Pretransplant MRD data, excluding inadequate BMs, were available in 176 randomly assigned patients of whom 156 proceeded to transplant (Data Supplement, distribution of clinical characteristics by MRD status in Data Supplement). MRD at any level was detected by flow cytometry in 43% of the 156 patients (38 of 79 receiving control regimens and 29 of 77 receiving FLAMSA-Bu) (median MRD level of 0.2%, range 0.02%-12.3%). In randomly assigned patients, pretransplant MRD positivity was associated with an increased relapse risk (2-year CIR 41.0% v 20.0% (HR 1.97 [95% CI, 1.18 to 3.28], Gray's test P value = .01) and a borderline significant reduction in 2-year OS (70.1%-51.4% log-rank P value = .05) (Data Supplement). No statistically significant difference was observed in TRM (2-year TRM 12.1% MRD-positive v 21.6% MRD-negative (HR 0.60 (95% CI, 0.29 to 1.27), Gray's test P value = .18). There was no interaction between MRD status and conditioning intensity in the preplanned subgroup survival analysis (heterogeneity test P = .56) or on relapse risk (treatment MRD interaction term P = .92). No difference in post-transplant MRD clearance was apparent between treatment arms from MRD results at day + 42 (Data Supplement). Although flow cytometric methodology represents the most widely applicable MRD assay in AML, its reliance on operator analysis expertise is a recognized limitation that may potentially contribute to variation in its prognostic value.[27] We therefore used an unsupervised computational approach to analyze flow cytometric sample files to obtain independent evaluation of the impact of conventionally determined MFC-MRD (Data Supplement) on outcome in the transplanted cohort. Twenty patients with pretransplant conventional MFC-MRD results were excluded since their samples had fewer than the minimum requirement of 1,000 blast events. Outcomes (Table 2, Fig 3) and test accuracy for relapse prediction (Data Supplement) were comparable between both methods in transplanted patients, supporting reproducibility of the prognostic effect from immunophenotypic MRD. The prognostic significance of pretransplant MRD above the thresholds that provided the most discrimination in this RIC allo-SCT setting (0.2% by conventional analysis, 1% by unsupervised) (Figs 3B and 3C, Table 2) was retained for relapse in an analysis adjusted for additional factors with the potential to determine transplant outcome (Table 2). To further test the robustness of these MFC-MRD–predicted outcomes, we applied stringent criteria (quantifiable, unsupervised MFC-MRD in at least 2 different antibody combinations) to select patients with the most extensive immunophenotypic blast aberrancies. Most patients with test positivity by these criteria had conventional MRD levels ≥ 0.2% (Data Supplement). The 2-year CIR after transplant for patients with a positive test was 50.5% compared with 20.6% for patients with a negative or equivocal test (Gray's test P value < .001) (Fig 3D, Table 2), and the overall accuracy for relapse prediction was 73% (Data Supplement).
TABLE 2.

Conventional and Unsupervised MRD Comparison: Outcomes by Pretransplant MRD Status

FIG 3.

(A) CIR by conventional MFC-MRD status, (B) CIR by conventional MFC-MRD with 0.2% cutoff, (C) CIR by unsupervised (computational) MFC-MRD with 1% cutoff, (D) CIR by unsupervised (computational) combined MFC-MRD test status. Impact of flow cytometric MRD on outcomes of transplanted patients are shown with comparison of results from conventional and unsupervised (computational) analysis approaches. Unsupervised MFC-MRD cutoff is higher than conventional MFC-MRD as the former values summate all quantifiable nonoverlapping abnormal blast subpopulations from an antibody combination, whereas conventional MFC-MRD values are from a single LAIP. UnSup-combined MRD is unsupervised MRD applying criteria of MRD-positive = aberrant blasts in at least two of the three antibody combinations (standard and stem cell) and MRD-negative or equivocal = aberrant blasts in 0-1 of 3 antibody combinations. CIR, Cumulative incidence of relapse; LIAP, leukemia-associated immunophenotype; MFC-MRD, flow cytometric measurable residual disease; UnSup, unsupervised (computational) MRD analysis.

Conventional and Unsupervised MRD Comparison: Outcomes by Pretransplant MRD Status (A) CIR by conventional MFC-MRD status, (B) CIR by conventional MFC-MRD with 0.2% cutoff, (C) CIR by unsupervised (computational) MFC-MRD with 1% cutoff, (D) CIR by unsupervised (computational) combined MFC-MRD test status. Impact of flow cytometric MRD on outcomes of transplanted patients are shown with comparison of results from conventional and unsupervised (computational) analysis approaches. Unsupervised MFC-MRD cutoff is higher than conventional MFC-MRD as the former values summate all quantifiable nonoverlapping abnormal blast subpopulations from an antibody combination, whereas conventional MFC-MRD values are from a single LAIP. UnSup-combined MRD is unsupervised MRD applying criteria of MRD-positive = aberrant blasts in at least two of the three antibody combinations (standard and stem cell) and MRD-negative or equivocal = aberrant blasts in 0-1 of 3 antibody combinations. CIR, Cumulative incidence of relapse; LIAP, leukemia-associated immunophenotype; MFC-MRD, flow cytometric measurable residual disease; UnSup, unsupervised (computational) MRD analysis.

Chimerism and Transplant Outcome

To explore the contribution of a putative GVL effect to post-transplant outcome, we studied the impact of acquisition of full donor T-cell chimerism (FDTCC) on transplant outcome. Acquisition of FDTCC was similar in control and experimental arms and not affected by pretransplant MRD status (Data Supplement). Acquisition of FDTCC at 3 months post-transplant was associated with lower CIR (Gray's test P value < .001) with 2-year CIR in patients with FDTCC of 13.1% (95% CI, 7.3 to 20.5) compared with 44.8% (95% CI, 30.0 to 58.3) (Data Supplement). In patients with pretransplant MRD positivity, acquisition of FDTCC at 3 months post-transplant was associated with a comparable outcome with that achieved by patients without detectable pretransplant MRD (Fig 4).
FIG 4.

(A) OS by month 3 Chimerism with pretransplant MRD status and (B) CIR by month 3 Chimerism with pretransplant MRD status. Outcomes are for transplanted patients who were alive and relapse-free at day + 100. MRD status is by conventional flow MRD. Negative—full, pretransplant MRD-negative and month 3 full donor T-cell chimerism. Positive—full, pretransplant MRD-positive and month 3 full donor T-cell chimerism. Negative—mixed, pretransplant MRD-negative and month 3 mixed donor T-cell chimerism. Positive—mixed, pretransplant MRD-positive and month 3 mixed donor T-cell chimerism. CIR, Cumulative incidence of relapse; MRD, measurable residual disease; OS, overall survival.

(A) OS by month 3 Chimerism with pretransplant MRD status and (B) CIR by month 3 Chimerism with pretransplant MRD status. Outcomes are for transplanted patients who were alive and relapse-free at day + 100. MRD status is by conventional flow MRD. Negative—full, pretransplant MRD-negative and month 3 full donor T-cell chimerism. Positive—full, pretransplant MRD-positive and month 3 full donor T-cell chimerism. Negative—mixed, pretransplant MRD-negative and month 3 mixed donor T-cell chimerism. Positive—mixed, pretransplant MRD-positive and month 3 mixed donor T-cell chimerism. CIR, Cumulative incidence of relapse; MRD, measurable residual disease; OS, overall survival.

DISCUSSION

Strategies with the potential to reduce the risk of relapse in patients with AML or MDS transplanted using RIC include both intensification of the antitumor properties of the conditioning regimen[35] and optimization of the GVL effect.[5] The cytoreductive properties of distinct RIC regimens vary considerably, and relapse rates ranging from 30% to 60% have been reported in patients using commonly adopted transplant protocols.[3,36] In unrandomized phase II trials and retrospective registry data, the FLAMSA-Bu protocol, which incorporates additional cytoreductive chemotherapy prior to a fludarabine-based RIC regimen, has been reported to reduce relapse and improve outcome in high-risk AML or MDS and as a consequence has become widely adopted despite its attendant substantially increased in-patient stay and potential toxicity.[5-7] Our data, however, show no impact on either relapse rate or survival in patients transplanted using this intensified regimen. Differences in control regimens and age-related FLAMSA-Bu dose adjustments constitute potential limitations to this analysis, but we did not detect a differential effect on outcomes from any of these variables. Of particular note, FLAMSA-Bu did not result in improved survival in predefined subgroups including patients with an adverse-risk karyotype. In exploratory studies, pretransplant MRD, measured using a widely used flow cytometric methodology, was prospectively examined as a prognostic determinant of transplant outcome. Pretransplant MRD status was identified as an important prognostic factor for relapse in multivariable analysis, confirming previous retrospective analyses. However, although the US CTN 0901 trial identified the presence of NGS-determined pretransplant MRD as a predictor of outcome in patients transplanted using a reduced intensity but not a MAC regimen,[31] in the FIGARO trial, we observed no benefit accruing in MRD-positive patients from intensification of RI conditioning. Of interest, the risk of relapse after transplant in the RIC arm of US-CTN 0901 (48% at 18 months[2]) was strikingly higher than that observed in the FIGARO trial despite both trials using similar RIC regimens. One of the major limitations of the widely used flow cytometric MRD assays has been the inevitable subjectivity from manual gating of immunophenotypic raw data. Using a novel unsupervised analysis approach as independent evaluation of conventional flow cytometric MRD, we were able to confirm the reproducibility of the prognostic significance of immunophenotypic pretransplant MRD in this older age group typically considered for RIC regimens. Incorporating comprehensive genetic information for genetic subtype MRD interpretation (such as FLT3-ITD[29,31]), consideration of under-representation of MRD from hemodilution or hypoplasia and potentially MRD as a continuous variable will further progress refining and validating flow cytometric MRD thresholds for transplant decision making. There is much debate concerning the benefit of an RIC allograft in patients with evidence of pretransplant MRD. It is therefore of interest that approximately 50% of FIGARO patients with evidence of pretransplant MRD did not relapse, confirming the validity of transplantation using an RIC regimen as a therapeutic strategy in high-risk AML—even in patients with detectable MRD. There is compelling evidence of a potent GVL effect in patients with AML allografted using an RIC regimen.[37] The observation that the adverse prognostic impact conferred by the presence of pretransplant MRD was mitigated by the acquisition of FDTCC at 3 months requires further prospective examination and identifies optimization of the GVL effect as an important approach to improve outcome in patients transplanted using an RIC regimen. Such strategies include using a T replete graft, a rapid taper of post-transplant immunosuppression, or early administration of pharmacological agents such as azacitidine, decitabine,[38-40] or DLI.
  40 in total

1.  Combining flow cytometry and WT1 assessment improves the prognostic value of pre-transplant minimal residual disease in acute myeloid leukemia.

Authors:  Fabio Guolo; Paola Minetto; Marino Clavio; Maurizio Miglino; Federica Galaverna; Anna Maria Raiola; Carmen Di Grazia; Nicoletta Colombo; Sarah Pozzi; Adalberto Ibatici; Samuele Bagnasco; Daniela Guardo; Annalisa Kunkl; Filippo Ballerini; Chiara Ghiggi; Roberto M Lemoli; Marco Gobbi; Andrea Bacigalupo
Journal:  Haematologica       Date:  2017-05-11       Impact factor: 9.941

Review 2.  Conditioning regimens for allogeneic hematopoietic stem cell transplants in acute myeloid leukemia.

Authors:  Y S Jethava; S Sica; B Savani; F Socola; M Jagasia; M Mohty; A Nagler; A Bacigalupo
Journal:  Bone Marrow Transplant       Date:  2017-05-15       Impact factor: 5.483

3.  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

4.  Molecular MRD status and outcome after transplantation in NPM1-mutated AML.

Authors:  Richard Dillon; Robert Hills; Sylvie Freeman; Nicola Potter; Jelena Jovanovic; Adam Ivey; Anju Shankar Kanda; Manohursingh Runglall; Nicola Foot; Mikel Valganon; Asim Khwaja; Jamie Cavenagh; Matthew Smith; Hans Beier Ommen; Ulrik Malthe Overgaard; Mike Dennis; Steven Knapper; Harpreet Kaur; David Taussig; Priyanka Mehta; Kavita Raj; Igor Novitzky-Basso; Emmanouil Nikolousis; Robert Danby; Pramila Krishnamurthy; Kate Hill; Damian Finnegan; Samah Alimam; Erin Hurst; Peter Johnson; Anjum Khan; Rahuman Salim; Charles Craddock; Ruth Spearing; Amanda Gilkes; Rosemary Gale; Alan Burnett; Nigel H Russell; David Grimwade
Journal:  Blood       Date:  2020-02-27       Impact factor: 22.113

5.  Sequential Intensified Conditioning Regimen Allogeneic Hematopoietic Stem Cell Transplantation in Adult Patients with Intermediate- or High-Risk Acute Myeloid Leukemia in Complete Remission: A Study from the Acute Leukemia Working Party of the European Group for Blood and Marrow Transplantation.

Authors:  Florent Malard; Myriam Labopin; Gernot Stuhler; Jörg Bittenbring; Arnold Ganser; Johanna Tischer; Mauricette Michallet; Nicolaus Kröger; Christoph Schmid; Anne Huynh; Michael Hallek; Bipin N Savani; Mohamad Mohty; Arnon Nagler
Journal:  Biol Blood Marrow Transplant       Date:  2016-11-02       Impact factor: 5.742

6.  Measurable Residual Disease at Induction Redefines Partial Response in Acute Myeloid Leukemia and Stratifies Outcomes in Patients at Standard Risk Without NPM1 Mutations.

Authors:  Sylvie D Freeman; Robert K Hills; Paul Virgo; Naeem Khan; Steve Couzens; Richard Dillon; Amanda Gilkes; Laura Upton; Ove Juul Nielsen; James D Cavenagh; Gail Jones; Asim Khwaja; Paul Cahalin; Ian Thomas; David Grimwade; Alan K Burnett; Nigel H Russell
Journal:  J Clin Oncol       Date:  2018-03-30       Impact factor: 44.544

7.  Assessment of Minimal Residual Disease in Standard-Risk AML.

Authors:  Adam Ivey; Robert K Hills; Michael A Simpson; Jelena V Jovanovic; Amanda Gilkes; Angela Grech; Yashma Patel; Neesa Bhudia; Hassan Farah; Joanne Mason; Kerry Wall; Susanna Akiki; Michael Griffiths; Ellen Solomon; Frank McCaughan; David C Linch; Rosemary E Gale; Paresh Vyas; Sylvie D Freeman; Nigel Russell; Alan K Burnett; David Grimwade
Journal:  N Engl J Med       Date:  2016-01-20       Impact factor: 91.245

8.  Impact of Conditioning Intensity of Allogeneic Transplantation for Acute Myeloid Leukemia With Genomic Evidence of Residual Disease.

Authors:  Christopher S Hourigan; Laura W Dillon; Gege Gui; Brent R Logan; Mingwei Fei; Jack Ghannam; Yuesheng Li; Abel Licon; Edwin P Alyea; Asad Bashey; H Joachim Deeg; Steven M Devine; Hugo F Fernandez; Sergio Giralt; Mehdi Hamadani; Alan Howard; Richard T Maziarz; David L Porter; Bart L Scott; Erica D Warlick; Marcelo C Pasquini; Mitchell E Horwitz
Journal:  J Clin Oncol       Date:  2019-12-20       Impact factor: 44.544

9.  CC-486 Maintenance after Stem Cell Transplantation in Patients with Acute Myeloid Leukemia or Myelodysplastic Syndromes.

Authors:  Marcos de Lima; Betul Oran; Richard E Champlin; Esperanza B Papadopoulos; Sergio A Giralt; Bart L Scott; Basem M William; Joel Hetzer; Eric Laille; Becky Hubbell; Barry S Skikne; Charles Craddock
Journal:  Biol Blood Marrow Transplant       Date:  2018-06-20       Impact factor: 5.742

10.  Effect of rhG-CSF Combined With Decitabine Prophylaxis on Relapse of Patients With High-Risk MRD-Negative AML After HSCT: An Open-Label, Multicenter, Randomized Controlled Trial.

Authors:  Lei Gao; Yanqi Zhang; Sanbin Wang; Peiyan Kong; Yi Su; Jiong Hu; Ming Jiang; Hai Bai; Tao Lang; Jishi Wang; Li Liu; Tonghua Yang; Xiaobing Huang; Fang Liu; Shifeng Lou; Yao Liu; Cheng Zhang; Hong Liu; Li Gao; Jia Liu; Lidan Zhu; Qin Wen; Ting Chen; Ping Wang; Jun Rao; Min Mao; Cunbang Wang; Xianlin Duan; Le Luo; Xiangui Peng; Kaniel Cassady; Jiang F Zhong; Xi Zhang
Journal:  J Clin Oncol       Date:  2020-10-27       Impact factor: 44.544

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  20 in total

1.  ASO Author Reflections: The Multidisciplinary Approach to de Novo Metastatic Inflammatory Breast Cancer: A Combined Systemic and Locoregional Strategy.

Authors:  Lauren M Postlewait; Anthony Lucci
Journal:  Ann Surg Oncol       Date:  2021-01-06       Impact factor: 5.344

2.  Dose intensity for conditioning in allogeneic hematopoietic cell transplantation: can we recommend "when and for whom" in 2021?

Authors:  Nico Gagelmann; Nicolaus Kröger
Journal:  Haematologica       Date:  2021-07-01       Impact factor: 9.941

3.  Conditioning intensity and peritransplant flow cytometric MRD dynamics in adult AML.

Authors:  Gabrielle Paras; Linde M Morsink; Megan Othus; Filippo Milano; Brenda M Sandmaier; Lucas C Zarling; Raffaele Palmieri; Gary Schoch; Chris Davis; Marie Bleakley; Mary E D Flowers; H Joachim Deeg; Frederick R Appelbaum; Rainer Storb; Roland B Walter
Journal:  Blood       Date:  2022-03-17       Impact factor: 22.113

4.  Hypomethylating Agents and FLT3 Inhibitors As Maintenance Treatment for Acute Myeloid Leukemia and Myelodysplastic Syndrome After Allogeneic Hematopoietic Stem Cell Transplantation-A Systematic Review and Meta-Analysis.

Authors:  Jan Philipp Bewersdorf; Cecily Allen; Abu-Sayeef Mirza; Alyssa A Grimshaw; Smith Giri; Nikolai A Podoltsev; Lohith Gowda; Christina Cho; Martin S Tallman; Amer M Zeidan; Maximilian Stahl
Journal:  Transplant Cell Ther       Date:  2021-09-20

5.  Impact of diagnostic genetics on remission MRD and transplantation outcomes in older patients with AML.

Authors:  H Moses Murdock; Haesook T Kim; Nathan Denlinger; Pankit Vachhani; Bryan Hambley; Bryan S Manning; Shannon Gier; Christina Cho; Harrison K Tsai; Shannon McCurdy; Vincent T Ho; John Koreth; Robert J Soiffer; Jerome Ritz; Martin P Carroll; Sumithira Vasu; Miguel-Angel Perales; Eunice S Wang; Lukasz P Gondek; Steven Devine; Edwin P Alyea; R Coleman Lindsley; Christopher J Gibson
Journal:  Blood       Date:  2022-06-16       Impact factor: 25.476

6.  2021 Update on MRD in acute myeloid leukemia: a consensus document from the European LeukemiaNet MRD Working Party.

Authors:  Michael Heuser; Sylvie D Freeman; Gert J Ossenkoppele; Francesco Buccisano; Christopher S Hourigan; Lok Lam Ngai; Jesse M Tettero; Costa Bachas; Constance Baer; Marie-Christine Béné; Veit Bücklein; Anna Czyz; Barbara Denys; Richard Dillon; Michaela Feuring-Buske; Monica L Guzman; Torsten Haferlach; Lina Han; Julia K Herzig; Jeffrey L Jorgensen; Wolfgang Kern; Marina Y Konopleva; Francis Lacombe; Marta Libura; Agata Majchrzak; Luca Maurillo; Yishai Ofran; Jan Philippe; Adriana Plesa; Claude Preudhomme; Farhad Ravandi; Christophe Roumier; Marion Subklewe; Felicitas Thol; Arjan A van de Loosdrecht; Bert A van der Reijden; Adriano Venditti; Agnieszka Wierzbowska; Peter J M Valk; Brent L Wood; Roland B Walter; Christian Thiede; Konstanze Döhner; Gail J Roboz; Jacqueline Cloos
Journal:  Blood       Date:  2021-12-30       Impact factor: 22.113

7.  Measurable residual disease testing in chronic lymphocytic leukaemia: hype, hope neither or both?

Authors:  Shenmiao Yang; Neil E Kay; Min Shi; Gert Ossenkoppele; Roland B Walter; Robert Peter Gale
Journal:  Leukemia       Date:  2021-09-27       Impact factor: 11.528

8.  Myeloablative conditioning with thiotepa-busulfan-fludarabine does not improve the outcome of patients transplanted with active leukemia: final results of the GITMO prospective trial GANDALF-01.

Authors:  Francesca Bonifazi; Chiara Pavoni; Jacopo Peccatori; Fabio Giglio; Mario Arpinati; Alessandro Busca; Paolo Bernasconi; Anna Grassi; Anna Paola Iori; Francesca Patriarca; Lucia Brunello; Carmen Di Grazia; Angelo Michele Carella; Daniela Cilloni; Alessandra Picardi; Anna Proia; Stella Santarone; Roberto Sorasio; Paola Carluccio; Patrizia Chiusolo; Alessandra Cupri; Mario Luppi; Chiara Nozzoli; Donatella Baronciani; Marco Casini; Giovanni Grillo; Maurizio Musso; Francesco Onida; Giulia Palazzo; Matteo Parma; Stefania Tringali; Adriana Vacca; Daniele Vallisa; Nicoletta Sacchi; Elena Oldani; Arianna Masciulli; Angela Gheorghiu; Corrado Girmenia; Massimo Martino; Benedetto Bruno; Alessandro Rambaldi; Fabio Ciceri
Journal:  Bone Marrow Transplant       Date:  2022-04-12       Impact factor: 5.174

Review 9.  Optimizing Transplant Approaches and Post-Transplant Strategies for Patients With Acute Myeloid Leukemia.

Authors:  Justin Loke; Hrushikesh Vyas; Charles Craddock
Journal:  Front Oncol       Date:  2021-04-15       Impact factor: 6.244

10.  Adding venetoclax to fludarabine/busulfan RIC transplant for high-risk MDS and AML is feasible, safe, and active.

Authors:  Jacqueline S Garcia; Haesook T Kim; H Moses Murdock; Corey S Cutler; Jennifer Brock; Mahasweta Gooptu; Vincent T Ho; John Koreth; Sarah Nikiforow; Rizwan Romee; Roman Shapiro; Fiona Loschi; Jeremy Ryan; Geoffrey Fell; Hannah Q Karp; Fabienne Lucas; Annette S Kim; Danielle Potter; Thelma Mashaka; Richard M Stone; Daniel J DeAngelo; Anthony Letai; R Coleman Lindsley; Robert J Soiffer; Joseph H Antin
Journal:  Blood Adv       Date:  2021-12-28
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