scholarly journals Multigene MRD Assessment Improves AML Relapse Risk Stratification in Autologous Hematopoietic Cell Transplantation

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 4350-4350
Author(s):  
Matthew P. Mulé ◽  
Gabriel N. Mannis ◽  
Jerald P. Radich ◽  
Brent L. Wood ◽  
Nestor R. Ramos ◽  
...  

Abstract While commonly used in other hematological malignancies, high dose chemotherapy followed by autologous hematopoietic cell transplantation (auto-HCT) has not been widely adopted in acute myeloid leukemia (AML) due to concerns regarding high post-transplant relapse rates. These relapses may be due, in part, to autograft contamination with AML. High sensitivity methods to detect residual AML have demonstrated the ability to correctly identify patients in morphological complete remission (CR) at risk of relapse. We sought to determine if testing of the graft prior to transplantation could predict post auto-HCT relapse. Prior studies investigating the utility of measurable residual disease (MRD) in auto-HCT have been limited by small patient cohorts and/or by the use of a single biomarker to detect AML, a heterogeneous cancer. We report here the largest retrospective study to date of adult auto-HCT AML patients tested for measurable residual disease (MRD) by both molecular methods (RQ-PCR) and multi-parameter flow cytometry (MPFC). Seventy-two patients transplanted between 2004-2013 at a single academic medical center (UCSF) were eligible for this study based on availability of cryopreserved GCSF mobilized autologous peripheral blood progenitor cell (PBPCs) specimens. All samples were collected on IRB approved research protocols. The median age at time of transplant was 48 (24-69), 54% were female, cytogenetics were known in 94% (of which 24% were favorable, 69% intermediate, 7% poor), 99% were in CR at the time of HCT (64/72 in CR1, 6 in CR2, 1 in CR3). Following auto-HCT 1 year RFS was 50% (1 year relapse rate 43%) and 2 year RFS was 40% (2 year relapse rate 47%). Wilms tumor 1 (WT1) is expressed in up to 90% of AML, but sufficiently over-expressed in peripheral blood to have utility as a sensitive marker of MRD in less than 50% of cases. RQ-PCR detectable WT1 above the previously established European LeukemiaNet threshold was found in 9 patients, of whom 6 relapsed in the first year after auto-HCT (19% sensitivity, 93% specificity, PPV: 67%, NPV: 60%). We have previously reported that multi-gene testing can augment WT1 based MRD detection in AML. We were unable however to use one component of our previously reported AML MRD panel, PR3, due to increased baseline expression in these GCSF stimulated PBPC products. Increased PR3 expression following GCSF administration, correlating with neutrophilia, was also observed in an independent cohort of healthy donors. Testing for PRAME, MSLN, CCNA1, t(8,21), Inv16, t(15:17) and NPM1 mutations A, B and D, as a supplement for WT1, in pre-HCT PBPCs resulted in substantially improved ability to predict post auto-HCT relapse (52% sensitivity, 80% specificity, PPV: 67%, NPV: 69%). Addition of these extra genes allowed for correct identification of 10 additional MRD+ patients who relapsed within 1yr after transplant, and added 5 false positive patients (1 of whom suffered early non-relapse mortality, and another who did relapse but more than 1 year after HCT). Finally, in expert hands, flow cytometry can identify residual AML with high sensitivity. Forty PBPC samples from the above cohort were also assessed for MRD using MPFC. CD34 positive cells comprised 0.05-12.5% of autograft specimen mononuclear cells. Due to immunophenotypic changes likely attributable to GCSF mobilization, and without leukemia associated immunophenotypes from diagnosis available, MPFC was unable to identify MRD in any of 40 patients tested. In summary, no single MRD test on autografts could completely predict post-HCT AML relapse. Auto-HCT presents unique challenges for AML MRD testing due to masking effects of GCSF on MPFC and RQ-PCR gene expression signatures. Additionally, detection of any AML autograft contamination must be extremely sensitive to be useful for predicting relapse given the absence of any potentially protective graft versus leukemia effect following an auto-HCT. Here we show combinations of molecular MRD assays can overcome some, but not all, of these limitations (Figure). Figure 1. Figure 1. Disclosures Radich: Incyte: Consultancy; Ariad: Consultancy; Novartis: Consultancy; Novartis: Other: Lab Contract. Andreadis:Cellerant: Consultancy; Novartis: Consultancy; McGraw Hill: Other: Publishers; Pharmacyclics: Honoraria. Damon:Sunesis: Research Funding; McGraw Hill: Other: Chapter Royalties; Atara: Consultancy; Sigms Tau: Research Funding. Logan:Jazz Pharmaceuticals: Consultancy; Amgen: Consultancy; Pharmacyclics: Consultancy. Martin:Sanofi: Consultancy.

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1821-1821
Author(s):  
Teresa Caballero ◽  
Olga Pérez-López ◽  
Ana Yeguas Bermejo ◽  
Eduardo Rodriguez Arbolí ◽  
Enrique Colado Varela ◽  
...  

Abstract Introduction: Acute myeloblastic leukaemia (AML) is an heterogeneous disease with different molecular and prognostic characteristics. According to the comorbidities and the revised 2017 European Leukaemia genetic risk stratification (ELN17), allogeneic hematopoietic cell transplantation (HCT) is the best therapeutic option for many patients with AML (Grimm, Blood Adv 2020). However, relapse remains the main cause of mortality after transplantation. Impact of MRD on the outcome of patients is well recognized and ELN2017 introduced the new response category complete remission (CR) without MRD (Döhner H, Blood 2017). Detection of measurable residual disease (MRD) by multiparameter flow cytometry (MFC) in AML before allogeneic HCT could be a powerful predictor of outcome and decisive when establishing strategies that modify the prognosis of these patients. Methods: Retrospective multicentre analysis of MRD by MFC of patients undergoing transplantation allogeneic in 4 centres during the period from 2012 to 2020. Both Leukaemia Associated Aberrant Immunophenotype (LAIP) and different from normal (DFN) approach were used to analyse the MRD. The MRD was carried out with 8-color panels based on Euroflow protocols. The samples were acquired in 8-color digital cytometers (FACSCanto II) calibrated and compensated according to Euroflow protocols. Results: 295 of 318 patients were evaluated. Table 1 shows the characteristics of the patients. 285 (96.7%) were in complete remission (CR), 207 had negative MRD, in 21 MRD was less than 0.1% (MRD-low) and in 57 greater than or equal to 0.1% (MRD-high). At 2 years, the overall survival (OS) and leukaemia-free survival (LFS) in the whole group were 69% (95% CI 63.18-74.18) and 58.4% (95% CI 52.4-63.9) respectively. In CR patients, MRD levels significantly influenced on outcomes, with OS and LFS of 76.7% and 67.6% for negative MRD, 68.5% and 49.7% MRD-low and 50 % and 36.6% in MRD-high, p <0.001) (Figure 1). Considering only MRD-high as positive, according to ELN17, cumulative incidence of relapse (CIR) at 2 and 5 years were significantly lower among those with positive MRD: 22% (95% CI 17-28.1%) and 27% (95% CI 21%-33.5%) for negative MRD vs 46,5% (95% CI 32.4%-59.5%) and 50% (95% CI 34.8%-63.2%) in positive MRD, p 0.0005. No differences were observed in terms of non relapse mortality (p 0.2).. Likewise, positive MRD also identified different prognostic subgroups within the ELN2017 subgroups: OS and LFS among high-risk ELN2017 patients of 63.6% and 52.3% in negative MRD vs 35.7% and 18.2% in positive MRD patients, p = 0.0085 and p = 0.0094, respectively; for intermediate risk: 77% and 67.6% in negative MRD vs 67% and 50.5% in positive MRD patients, p = 0.23 and p = 0.056; and for favourable: 84% and 77.7% in negative MRD vs 48% and 39.2% in patients with positive MRD, p = 0.0051 and p = 0.0341. Considering the conditioning regimen, patients with MRD negative before transplant had better OS and LFS at 2 years (82% and 71.4% among those received myeloablative conditioning and 65% and 57.6% among those who received reduced intensity, respectively) than those who had positive MRD prior to transplant (56% and 44.4% in myeloablative and 43% and 25.5% in reduced intensity) (p <0.001) (Figure 2). In multivariate time-dependent analysis, age (HR 1.019 p = 0.024-95% CI 1.001-1,038), adverse risk group according to ELN17 (HR 2.13 p = 0.033 CI95 1.54-3.93 ) and MRD before transplant (HR 3.8 p <0.001 95 CI 1.55-3.93) significantly influenced survival. Conclusions: Detection of MRD prior to transplant by MFC identifies a group of patients with a worse prognosis and could be key when selecting the most appropriate therapeutic strategy. Figure 1 Figure 1. Disclosures Caballero: Celgene: Consultancy. Belén Vidriales: Roche: Consultancy; Novartis: Speakers Bureau; Jazz: Consultancy, Speakers Bureau; Astellas: Consultancy, Speakers Bureau. Montesinos: Karyopharm: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Stemline/Menarini: Consultancy; Tolero Pharmaceutical: Consultancy; Agios: Consultancy; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Incyte: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Forma Therapeutics: Consultancy; Glycomimetics: Consultancy; Teva: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Daiichi Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Astellas Pharma, Inc.: Consultancy, Honoraria, Other: Advisory board, Research Funding, Speakers Bureau. Perez-Simon: JANSSEN, TAKEDA, PFIZER, JAZZ, BMS, AMGEN, GILEAD: Other: honorarium or budget for research projects and/or participation in advisory boards and / or learning activities and / or conferences.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 1132-1132
Author(s):  
Melhem M. Solh ◽  
Rathmann Kristin ◽  
Sauvi chang-Fong ◽  
Jeremiah Oyer ◽  
Wesam B. Ahmed ◽  
...  

Abstract Method of Mobilization: Implication on Cell Subsets in The Graft and Immune Reconstitution post Autologous Hematopoietic Cell Transplantation (AHCT) The optimal mobilization method for either myeloma or lymphoma patients undergoing AHCT is still debatable and strategies for graft collection vary between different institutions. Plerixafor, a CXCR4 antagonist is used for peripheral blood stem cell mobilization in multiple myeloma and non-Hodgkins lymphoma patients requiring AHCT. The effect of plerixafor on graft composition has scarce data that are based mostly on cryopreserved samples. Moreover; the effect of plerixafor on immune reconstitution and hematologic recovery post AHCT has not been well evaluated. The goal of our study was to compare graft composition, hematologic and immune reconstitution recovery among patients mobilized with plerixafor plus G-CSF to those mobilized with G-CSF alone. Methods: 49 patients eligible for AHCT were enrolled on a single arm prospective trial at a single transplant center. All patients were mobilized with G-CSF 10µg/kg/day for 4 consecutive days. A peripheral blood CD34 level of <20/µl on day 4 was used as a cutoff to use plerixafor 0.24mg/kg in addition to G-CSf on 9pm of the fourth day. Peripheral blood collection was started on day 5 and was continued till the target dose is achieved or a minimum CD 34+ cell dose of >2x106 cells/Kg was obtained after 3 collection days. Samples from the freshly collected graft and patients' peripheral blood on days +30 and +60 were analyzed by flow cytometry (BD FACSCanto II) . A single platform assay was used (Beckman-Coulter Stem kit) via a ISHAGE protocol. The antibody cocktail contained the following pre-conjugated monoclonal antibodies: CD56-PE (Miltenyi Biotech, Auburn, CA), CD3-APC, CD16-FITC, (Beckman Coulter, Brea, CA), CD19-PE-CY7 (BD Biosciences, San Jose, CA). Data were acquired using BD FACSCanto II (BD Biosciences) and analyzed with the FACSDiva software (BD Biosciences) to quantify CD3+ T cells, CD3+ CD56+ NK-like T cells, CD56+ CD16+ and CD56+ CD16- NK cells as well as CD19+ B cells. Results: 49 patients with a median age of 58 years (range 21-75) were mobilized with either G-CSF alone (N=16) or plerixafor +G-CSF (G+P)(N=33).The median number of collection days was 1.42 and 1.81 (p=0.2) and the median collected CD34+ dose was 8.28x106/kg and 5.24x106 /kg (p=022) in the G+P and G-CSF alone groups respectively. Both groups had similar times to neutrophil and platelet engraftment. The graft analysis showed a white blood count of 309x109/l and 262x109/l (p=0.38), median percentage of CD34+ cells of 0.75% and 0.73% (p=0.81), percentage of CD3+ T cells of 25.6% and 22% (p=0.6) in the G+P and G-CSF alone groups resepectively. Both groups had similar proportions of CD3+, CD4+,CD8+, NK, NKT and iNKT cells in the mobilized grafts. Peripheral blood samples at day +30 and day +60 were analyzed for T cell markers and hematologic recovery (table 1). There was no significant difference between absolute lymphocyte counts, NK cell counts, T cells and absolute neutrophil count. Conclusion: Plerixafor when combined with G-CSF helps in achieving mobilization goals in patients predicted to be poor mobilizers based on peripheral CD34 levels. The addition of plerixafor doesn't not seem to affect T cell composition of the graft and yields similar hematologic and immune recovery when compared to mobilization with G-CSF alone. Table 1: Immune Reconstitution at Day 30 and Day 60 post Autologous Transplantation Treatment Group G-CSF (N=16) Plerixafor + G-CSF (N=33) P-value G-CSF (N=16) Plerixafor + G-CSF (N=33) P-value Day 30 Day 60 WBC 5.08 5.41 0.873 4.94 5.38 0.654 HGB 10.86 11.19 0.353 11.22 11.17 0.757 HCT 32.35 33.66 0.321 33.36 33.53 0.565 PLT 119.88 161.42 0.068 166.94 173.73 0.949 Abs Lymph 1.09 1.44 0.296 1.41 1.50 0.974 % NK 26.14 30.38 0.277 11.53 20.09 0.095 Abs NK 0.31 0.35 0.186 0.17 0.21 0.470 % T cell 67 60 0.183 76.15 67.39 0.340 Abs T cell 0.72 0.96 0.717 1.35 .82 0.095 NKT%* 5.28 3.33 8.25 3.38 B cell % 2.38 1.52 0.922 2.63 5.58 0.424 Abs. Neut count 2.99 2.64 0.488 2.85 3.01 0.848 Disclosures No relevant conflicts of interest to declare.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1523-1523
Author(s):  
Wenbin Xiao ◽  
Aaron D Goldberg ◽  
Christopher Famulare ◽  
Sean Delvin ◽  
Minal Patel ◽  
...  

Abstract Background Measurable residual disease (MRD) is associated with inferior outcomes in patients with acute myeloid leukemia (AML). MRD monitoring enhances risk stratification and may guide therapeutic intervention. Post-induction MRD is frequently cleared with further therapy and the clearance may lead to better outcomes. In contrast, persistent MRD is associated with poor outcomes. At present it is not possible to predict which patients are likely to clear MRD with further therapy. Here we report a simple, objective, widely applicable and quantitative MFC approach using the ratio of blast/PDC to predict persistent MRD and poor outcomes in AML. Patients and Methods A cohort of 136 adult patients with a confirmed diagnosis of AML by WHO criteria who underwent standard induction therapy at a single center between 4/2014 and 9/2017 was initially included. 69 patients achieved complete morphologic remission (36 MRD-neg. and 33 MRD-pos.). MRD status was assessed by MFC using a different from normal (DfN) approach. PDC were quantified as the percent of total WBC by flow cytometry based on low side scatter, moderate CD45, CD303, bright CD123 and HLA-DR expression. Results The proportion of PDC was markedly decreased in patients with AML (≥20% blasts) (N=136) with a median of 0.016% (interquartile range IQR: 0.0019%-0.071%, Figure 1A), more than 10-fold lower than observed in normal controls (median 0.23%, IQR 0.17%-0.34%) (N=20). While there was no difference between MRD-neg. and normal control groups (median 0.31%, IQR: 0.17%-0.49%; vs. 0.28%, IQR: 0.17%-0.34%), MRD-pos. group had significantly reduced PDC proportion compared to the control (median 0.074%, IQR: 0.022%-0.33%, Wilcoxon rank sum, p=0.019). In an attempt to achieve better separation and to eliminate possible effects of hemodilution, the ratio of blast/PDC was calculated by using the proportions of blasts and PDCs out of total WBCs as quantitated by flow cytometry. A cut-off threshold of the blast/PDC ratio of 10 was chosen to separate each group (Figure 1B). Importantly, a ratio cut-off of 10 had a corresponding specificity of 97.4% for predicting MRD positivity status. MRD positivity was significantly associated with inferior overall survival (OS) and relapse-free survival (RFS) in our study cohort (OS HR 4.11 (95% CI: 1.30-13.03), p=0.016; RFS HR 4.20 (95% CI: 1.49-11.82), p=0.007, Figure 1C and D). The 2-year cumulative incidence of relapse in the MRD-neg. group compared to MRD-pos. group was 10% (95% CI: 2-24%) vs. 37% (95% CI: 18-56%, p=0.014). Importantly, blast/PDC ratio ≥10 was also strongly associated with inferior OS and RFS (OS HR 3.12 (95% CI: 1.13-8.60), p= 0.028; RFS HR 4.05 (95% CI: 1.63-10.11), p=0.003, Figure 1E and F), which is similar in magnitude to MRD positivity. Furthermore, MRD-pos. patients with blast/PDC ratio <10 had 4 times higher MRD clearance rate than MRD-pos. patients with a ratio ≥10 (6/11, 55% vs 2/17, 12%, Fisher exactp=0.02). Conclusion We have established an objective and quantitative MFC method to risk stratify post induction AML patients by risk for relapse, MRD clearance and likelihood of survival. Loss of PDC correlates with residual leukemia, is highly specific for MRD positivity in post-induction patients, and strongly predicts poorer overall survival and higher likelihood of relapse. Loss of PDC also predicts persistent MRD in post-induction MRD-pos. patients despite further therapy, suggesting that MRD-pos. patients with normal PDC may benefit from further therapy prior to transplant, while MRD-pos. patients with loss of PDC may not. Figure 1. Figure 1. Disclosures Goldberg: AROG: Research Funding; Pfizer: Research Funding; Celgene: Consultancy. Geyer:Dava Oncology: Honoraria. Levine:Isoplexis: Equity Ownership; C4 Therapeutics: Equity Ownership; Gilead: Honoraria; Qiagen: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Prelude: Research Funding; Imago: Equity Ownership; Roche: Consultancy, Research Funding; Loxo: Consultancy, Equity Ownership; Celgene: Consultancy, Research Funding; Novartis: Consultancy; Epizyme: Patents & Royalties; Janssen: Consultancy, Honoraria. Tallman:BioSight: Other: Advisory board; AROG: Research Funding; AbbVie: Research Funding; Cellerant: Research Funding; ADC Therapeutics: Research Funding; Orsenix: Other: Advisory board; Daiichi-Sankyo: Other: Advisory board.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 5823-5823
Author(s):  
Elsa Sleiman ◽  
Alexandra Gomez ◽  
Julio C. Chavez ◽  
Mohamed A Kharfan-Dabaja ◽  
Ernesto Ayala

Abstract Background: High dose therapy (HDT) followed by autologous hematopoietic cell transplantation (autoHCT) has been shown to be safe and effective in patients with HIV-related lymphoma (HRL). Data is limited to small case series, transplant registries and a single prospective multicenter observational study. Here we report our institutional experience with auto-HCT in patients with HRL. Patients and methods: Twenty patients with HRL [non-Hodgkin=14 (70%), Hodgkin=6 (30%)] and treatable HIV infection underwent HDT consisting of carmustine, etoposide, cytarabine and melphalan (BEAM) followed by peripheral blood auto-HCT from 04/2006 to 07/2015. In 2 cases rituximab was administered as part of the preparative regimen. Patient-, disease-, and transplant-related characteristics are summarized in Table 1. Results: Median age was 48 years (range 35-61). The median follow-up for surviving patients was 42 months (range 6-110). At transplant, median peripheral blood CD4 count was 226 cells/µl (range 41-761). HIV viral load was undetectable in 14 out of 20 patients and lower than 4 logs in all of them. The median time to neutrophil and platelet engraftment were 11 days (range 10-13) and 14 days (range 13-176), respectively. Response rates at day +100 post-autografting in 17 evaluable patients were as follows: complete remission (CR)=11/17 (65%), partial response (PR)=2/17 (12%), and relapse/progression=4/17 (24%). Median event-free survival (EFS) was 58.4 months. Median overall survival (OS) was 74.3 months. At 5-years post-transplantation, EFS and OS were 68% and 53%, respectively. Non-hematologic toxicities consisted of mucositis in 8 (grade 1=3, grade 2=5), and enteritis in 13 patients (grade 1=2, grade 2=3, and grade 3=8). There were 13 documented infections in 11 patients (bacterial=9, viral=2, fungal=2). Six patients died from disease relapse/progression (n=5) and infection (n=1). Non-relapse mortality was 0% at day 100 and 5% at 5 years. Conclusion: Patients with HRL and treatable HIV infection should be offered autoHCT if indicated. HIV infection is no longer a contraindication for autoHCT in this population. Disclosures Chavez: Janssen: Speakers Bureau. Kharfan-Dabaja:Seattle Genetics: Speakers Bureau; Incyte: Speakers Bureau.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4907-4907
Author(s):  
Pavan Tenneti ◽  
Jiaxian He ◽  
Brittany Knick Ragon ◽  
Nilay A. Shah ◽  
Jing Ai ◽  
...  

Abstract Introduction Allogenic hematopoietic cell transplant (HCT) for acute myeloid leukemia (AML) is a curative option in patients with intermediate/high risk disease who achieve morphologic complete remission (CR) after induction chemotherapy. Patients in CR but with positive measurable residual disease (pMRD) prior to HCT had high relapse risk(RR) (67% vs 65%) and low 3 year overall survival (OS) (26% vs 23%),similar to those with active disease in a single institution study (Araki et.al; Volume 34, Feb 1,2016, JCO). However, this study included only patients who received myeloablative conditioning (MAC) and included both peripheral blood and marrow grafts. A single institution retrospective study showed that use of MAC compared to reduced intensity conditioning (RIC) improved 3 year RR(19% v 67%; P &lt; .001) and OS( 61% v 43%; P = .02) in patients with pMRD/CR(determined by molecular analysis of limited gene mutational panel)(Hourigan et.al. Volume 38, April 20,2020, JCO). We analyzed a cohort of AML patients that underwent either MAC or RIC followed by peripheral blood stem cell grafts and post-transplant cyclophosphamide (PTCy) based GVHD prevention regimen at our institution to determine the effect of pMRD on transplant outcomes. Methods: To evaluate the impact of pMRD on transplant outcomes, we analyzed AML patients who underwent HCT at Levine Cancer Institute between June 2014 and April 2020 with MRD testing performed within 1 month prior to HCT. MRD testing was performed at University of Washington by using multiparametric flow cytometry (MPC). The overall sensitivity of the assay is conservatively estimated as 0.1%. In our institution, all patients received MAC (Bu/Flu) or RIC (Bu/Flu or Flu/Cy/TBI) regimens followed by peripheral blood stem cell grafts and identical PTCy-based GVHD prophylaxis regimens that included tacrolimus and mycophenolate. Patient and transplant related characteristics were presented via descriptive statistics. Corresponding P-values were determined using Fisher's exact test for categorical variables and nonparametric Mann-Whitney U test for continuous variables. Relapse-free survival (RFS) and OS were estimated using the Kaplan Meier method. All statistical tests were two sided, and a P-value &lt; 0.05 was considered statistically significant. Results From June 2014 to April 2020, 105 patients with AML underwent HCT. Eighty-three patients with MRD results were included in the final analysis - 52 (63%) with negative MRD (nMRD)/CR, 16 (19%) with pMRD/ CR and 15 (18%) with active disease (no CR). Baseline characteristics were similar except for presence of significantly greater number of high risk patients, based on ASTCT disease classification in the active disease group compared to pMRD/CR and nMRD/CR cohorts( 87% vs 19% vs 0%, P =&lt; 0.001). Median follow up for the entire cohort was 32.7 months. RFS was superior in patients with nMRD/ CR compared to pMRD/ CR or active disease (56.4% vs 19.4% vs 35%, P= 0.005). In addition, OS was superior in nMRD/ CR compared to pMRD/CR or active disease (56.7% vs 35.2% vs 40%, P= 0.014). The use of MAC compared to RIC did not improve RFS (0% vs 32%, P= 0.018) and OS (0% vs 44%, P= 0.071) in pMRD/CR cohort. The use of MAC or RIC did not significantly impact RFS (69% vs 52%, P=0.729) or OS (61% vs 53%, P=0.739) in nMRD/CR patients. Conclusion: Our study validates the previous data that prognosis of patients with pMRD/CR (determined by MPC) prior to HCT is not significantly better than those having active disease. The outcomes were poor regardless of conditioning regimen intensity and PTCy based GVHD prophylaxis used at our institution. These patients might benefit from additional chemotherapy or targeted treatments to achieve nMRD prior to HCT and/or maintenance therapy post HCT. Patients with nMRD/CR disease had similar outcomes with MAC or RIC. This finding suggests that less aggressive conditioning regimens incorporating PTCy could be considered in a subset of patients with nMRD/CR, thereby sparing them from complications associated with MAC. Prospective trials are needed to further study these findings. Figure 1 Figure 1. Disclosures Copelan: Amgen: Consultancy. Grunwald: Astellas: Consultancy; Karius: Consultancy; PER: Other; Gilead: Consultancy; Incyte: Consultancy, Research Funding; Amgen: Consultancy; PRIME: Other; Daiichi Sankyo: Consultancy; Bristol Myers Squibb: Consultancy; AbbVie: Consultancy; Trovagene: Consultancy; Stemline: Consultancy; Pfizer: Consultancy; Janssen: Research Funding; Blueprint Medicines: Consultancy; Sierra Oncology: Consultancy; Med Learning Group: Other; Cardinal Health: Consultancy; MDEdge: Other; Agios: Consultancy.


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