Association of MHC Class I Chain-Related Gene a (MICA) Polymorphisms with Allogeneic Hematopoietic Cell Transplantation Outcomes in Acute Myeloid Leukemia

Abstract Background MHC class I chain-related gene A (MICA) is a polymorphic ligand of the natural killer (NKG2D) receptor on immune effector cells. The activating NKG2D receptor controls immune responses by regulating NK cells, NKT cells and γδ-T cells. Dimorphisms at sequence position 129 of the MICA gene confers varying levels of binding affinity to NKG2D receptor. MICA previously has been associated with post-allogeneic hematopoietic cell transplantation (alloHCT) outcomes including graft-versus-host-disease (GvHD), infection, and relapse. However, it is unclear how MICA interacts with cytogenetic and somatic mutations in regards to these outcomes in acute myeloid leukemia (AML). Methods We conducted a single center, retrospective analysis of adult AML patients in first or second complete remission (CR1, CR2), who underwent T-cell replete matched related or unrelated donor alloHCT. Analysis was limited to those who had MICA data available for donors and recipients. In addition to cytogenetic risk group stratification by European LeukemiaNet criteria (Döhner H, et al, Blood 2016), a subset of patients had a 36-gene somatic mutation panel assessed prior to alloHCT by next-generation sequencing. Dimorphisms at the MICA-129 position have previously been categorized as weaker (valine/valine: V/V), heterozygous (methionine/valine: M/V), or stronger (methionine/methionine: M/M) receptor binding affinity. Fine and Gray or Cox regression was used to identify the association of MICA and outcomes with results as hazard ratios (HR) and 95% confidence intervals (CI). Results From 2000 - 2017, 131 AML patients were identified meeting inclusion criteria. Median age at transplant was 54 years (18-74), with 98% Caucasian. Disease status at transplant included 78% CR1 and 22% CR2. Cytogenetic risk stratification showed 13% of patients as favorable, 56% as intermediate, and 31% as adverse-risk. The five most common somatic mutations were FLT3 (15%), NPM1 (14%), DNMT3A (11%), TET2 (7%), and NRAS (6%). 60% of patients had a related donor. A myeloablative transplant was performed in 84% of patients and 53% had a bone marrow graft source. The most common conditioning regimen used was busulfan/cyclophosphamide (52%). 12% of patients were MICA mismatched with their donor. The distribution of donor MICA-129 polymorphisms were 41% V/V, 53% M/V, and 6% M/M. In univariable analysis, donor-recipient MICA mismatch tended to be associated with a lower risk of infection (HR 0.49, CI 0.23-1.02, P=0.06) and grade 2-4 acute GvHD (HR 0.25, CI 0.06-1.04, P=0.06) but was not associated with other post-transplant outcomes. In multivariable analysis, donor MICA-129 V/V was associated with a higher risk of non-relapse mortality (NRM) (HR 2.02, CI 1.01-4.05, P=0.047) (Figure 1) along with increasing patient age at transplant (HR 1.46, CI 1.10-1.93, p=0.008) and the presence of a TET2 mutation (HR 6.00, CI 1.77-20.3, P=0.004). There were no differences between the V/V and the M/V+M/M cohorts regarding somatic mutational status, cytogenetics and other pre-transplant characteristics and post-transplant outcomes. With a median follow-up of 65 months for both cohorts, 45% vs. 49% of patients remain alive, respectively. The most common causes of death between the V/V and the M/V+M/M cohorts was relapse (38% vs. 62%) and infection (31% vs. 8%), respectively. Conclusion While previous studies have demonstrated associations of somatic mutations and cytogenetics with survival outcomes after alloHCT for AML, we observed mutations in TET2 and the V/V donor MICA-129 polymorphism to be independently prognostic for NRM. Mechanistic studies may be considered to assess for possible interactions of TET2 mutations with NK cell alloreactivity. The weaker binding affinity to the NKG2D receptor by the V/V phenotype may diminish immune responses against pathogens that subsequently contribute to higher NRM. These observations may have implications for enhancing patient risk stratification prior to transplant and optimizing donor selection. Future investigation with larger cohorts interrogating pre-transplant AML somatic mutations with MICA polymorphisms on post-transplant outcomes may further elucidate which subsets of patients may benefit most from transplant. Disclosures Nazha: MEI: Consultancy. Mukherjee:Pfizer: Honoraria; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Projects in Knowledge: Honoraria; BioPharm Communications: Consultancy; Bristol Myers Squib: Honoraria, Speakers Bureau; Takeda Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; LEK Consulting: Consultancy, Honoraria; Aplastic Anemia & MDS International Foundation in Joint Partnership with Cleveland Clinic Taussig Cancer Institute: Honoraria. Advani:Amgen: Research Funding; Pfizer: Honoraria, Research Funding; Glycomimetics: Consultancy; Novartis: Consultancy. Carraway:Novartis: Speakers Bureau; Balaxa: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz: Speakers Bureau; FibroGen: Consultancy; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Amgen: Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Speakers Bureau. Gerds:Apexx Oncology: Consultancy; Celgene: Consultancy; Incyte: Consultancy; CTI Biopharma: Consultancy. Sekeres:Celgene: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees. Maciejewski:Apellis Pharmaceuticals: Consultancy; Ra Pharmaceuticals, Inc: Consultancy; Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Ra Pharmaceuticals, Inc: Consultancy; Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Apellis Pharmaceuticals: Consultancy. Majhail:Incyte: Honoraria; Anthem, Inc.: Consultancy; Atara: Honoraria.

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Risk Factors for Early Relapse after Allogeneic Hematopoietic Cell Transplantation in Acute Myeloid Leukemia

Blood ◽

10.1182/blood-2018-99-111890 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 4603-4603

Author(s):

Sagar S. Patel ◽

Betty K. Hamilton ◽

Lisa Rybicki ◽

Dawn Thomas ◽

Arden Emrick ◽

...

Keyword(s):

Risk Factors ◽

Board Of Directors ◽

Myeloid Leukemia ◽

Research Funding ◽

Somatic Mutations ◽

Hematopoietic Cell Transplantation ◽

Disease Status ◽

Advisory Committees ◽

Early Relapse ◽

Post Transplant

Abstract Background While allogeneic hematopoietic cell transplantation (alloHCT) can be curative for patients with acute myeloid leukemia (AML), relapse remains a significant challenge. Previous work has suggested that disease status at time of transplant and cytogenetics are important predictors of relapse. However, it is unclear if common somatic mutations or dimorphisms of MHC class I chain-related gene A (MICA), a ligand of the natural killer (NKG2D) receptor on immune effector cells that helps mediate NK cell alloreactivity, also contribute. Moreover, the mechanisms of early relapse are an area of ongoing investigation. We assessed risk factors for relapse within 6 and 12 months after alloHCT. Methods We conducted a single center, retrospective analysis of adults with AML who underwent a first alloHCT. Analysis was restricted to patients with T-cell replete HLA-8/8 matched related or unrelated donor. In addition to cytogenetic risk group stratification by European LeukemiaNet criteria (Döhner H, et al, Blood 2016), a subset of patients had a 36-gene somatic mutation panel assessed prior to alloHCT by next-generation sequencing. Dimorphisms at the MICA-129 position have previously been categorized as weaker (valine/valine: V/V), heterozygous (methionine/valine: M/V), or stronger (methionine/methionine: M/M) receptor binding affinity. Risk factors for early relapse were assessed with Fine and Gray competing risk regression with results as hazard ratios (HR) and 95% confidence intervals (CI). Results From 2000 - 2017, 319 adult AML patients were identified meeting inclusion criteria. Median age at transplant was 51 years (range, 18-74), with 95% Caucasian. The distribution of low, intermediate, and high HCT-CI scores was 28%, 28%, and 44%, respectively. 75% of patients were transplanted ≤12 months from diagnosis. Disease status at transplant included 48% in first complete remission (CR1), 19% in second CR (CR2), 33% in third CR or relapsed/refractory or untreated (collectively, <CR2). By cytogenetic risk stratification, 13% of patients had favorable, 58% had intermediate, and 29% had adverse-risk cytogenetics. The four most common somatic mutations were FLT3 (12%), NPM1 (10%), DNMT3A (7%), and TET2 (6%). MICA mismatch was present in 10% of patients. The distribution of donor MICA-129 dimorphisms were 44% V/V, 51% M/V, and 5% M/M. 56% of patients had a related donor. A myeloablative transplant was performed in 88% of patients and 63% had a BM graft source. Conditioning with busulfan/cyclophosphamide was used in 56% of patients. In univariable analysis, non-Caucasian race, disease status <CR2, and adverse cytogenetics were risk factors for relapse within 6 months; all but race were also risk factors for relapse within 12 months. None of the somatic mutations assessed, MICA mismatch, nor dimorphisms at the MICA-129 position were identified as risk factors for early relapse. In multivariable analysis, relative to CR1, patients in <CR2 was a risk factor for relapse within 6 months (HR 2.21, CI 1.28-3.82, P=0.005) and 12 months (HR 2.23, CI 1.39-3.58, P<0.001), while patients in CR2 also had higher risk of relapse within 12 months relative to CR1 (HR 2.02, CI 1.10-3.70, P=0.024) (Figures 1A, 1B). In addition, adverse-risk cytogenetics were a risk factor for relapse within 6 months (HR 3.96, CI 1.33-11.8, P=0.013) and 12 months (HR 3.58, CI 1.67-7.68 P=0.001) (Figures 2A, 2B). Relapse incidence estimates (CI) at 6 months were 16% (11-22) CR1, 15% (7-25) CR2, and 33% (24-42) <CR2; estimates were 10% (3-22) for favorable, 17% (12-23) intermediate, and 31 % (22-41) adverse-risk cytogenetics. Relapse incidence estimates at 12 months were 21% (15-28) CR1, 30% (19-41) CR2, and 42% (33-52) <CR2; estimates were 21% (10-36) for favorable, 21% (15-27) intermediate, and 47% (36-57) adverse-risk cytogenetics. Conclusion Relapse after alloHCT for AML remains a challenge. In our study, the strongest risk factors for early relapse after alloHCT remains absence of CR1 disease status at transplant and adverse-risk cytogenetics. We observed no prognostic effect of somatic mutations nor MICA dimorphisms prior to transplant on 6 or 12-month relapse post-transplant. Further interrogation of pre-transplant or post-transplant persistence of somatic mutations in a larger series may better risk stratify subjects who may benefit from more intensive or innovative approaches to prevent post-transplant relapse. Disclosures Nazha: MEI: Consultancy. Advani:Amgen: Research Funding; Pfizer: Honoraria, Research Funding; Novartis: Consultancy; Glycomimetics: Consultancy. Carraway:Novartis: Speakers Bureau; Amgen: Membership on an entity's Board of Directors or advisory committees; Balaxa: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; FibroGen: Consultancy; Jazz: Speakers Bureau; Agios: Consultancy, Speakers Bureau. Gerds:Celgene: Consultancy; Apexx Oncology: Consultancy; Incyte: Consultancy; CTI Biopharma: Consultancy. Sekeres:Celgene: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees. Maciejewski:Apellis Pharmaceuticals: Consultancy; Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Apellis Pharmaceuticals: Consultancy; Ra Pharmaceuticals, Inc: Consultancy; Ra Pharmaceuticals, Inc: Consultancy; Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Majhail:Atara: Honoraria; Incyte: Honoraria; Anthem, Inc.: Consultancy.

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Interactions between Donor Activating Killer Immunoglobulin-like Receptors (KIRs) and Somatic Mutations and Their Association with Outcomes after Allogeneic Hematopoietic Cell Transplant for Acute Myeloid Leukemia (AML)

Blood ◽

10.1182/blood-2019-131011 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4599-4599

Author(s):

Sanghee Hong ◽

Lisa Rybicki ◽

Aiwen Zhang ◽

Dawn Thomas ◽

Cassandra M Kerr ◽

...

Keyword(s):

Overall Survival ◽

Nk Cells ◽

Board Of Directors ◽

Research Funding ◽

Somatic Mutations ◽

Nk Cell ◽

Advisory Committees ◽

Post Transplant ◽

Transplant Outcomes ◽

Kir Haplotypes

Background: Graft-versus-leukemia (GVL) responses after allogeneic hematopoietic cell transplantation (alloHCT) for AML are mediated by alloreactive donor-derived immune effector cells including T lymphocytes and natural killer (NK) cells. The function of NK cells is regulated by inhibitory and activating signals mediated through cell-surface receptors, including KIRs. Various models of NK cell alloreactivity have been associated with post-transplant outcomes, including leukemia relapse. However, these results have varied widely between different investigators employing similar models of NK cell alloreactivity. Assessment of somatic mutations in AML on post-transplant outcomes has not been investigated in the context of KIR profiles. Methods: In this single-institution retrospective cohort study, we investigated KIR haplotypes (haplotype AA vs. Bx [associated with multiple activating KIRs]; Cooley S., et al. Blood. 113:726-732. 2009) in the context of somatic mutations. We included 34 adult patients with AML who underwent alloHCT from a matched related donor from 2006 to 2013. A targeted multi-amplicon deep NGS panel of 79 commonly mutated genes in myeloid neoplasia was performed. Post-HCT outcomes were assessed based on mutational status and KIR haplotype with Kaplan-Meier method and log-rank test. Results: Median age at transplant was 54 (range 31-73). Cytogenetic risk groups were 9% favorable, 56% intermediate, and 35% poor based on 2017 ELN classification. HCT-CI scores included 26% low, 32% intermediate, and 41% high. Disease risk group defined by ASTCT included 71% low, 26% intermediate, and 3% high. Disease status at HCT included 74% CR1 and 26% CR2. Frequencies of somatic mutations prior to HCT were: 21% DNMT3A, 18% IDH2, 9% each for STAG2 and NRAS, 6% each for ASXL1, JAK2, PHF6, RUNX1, TET2, and 3% each for CBL, FLT3, NPM1, and U2AF1. Overall, 53% of patients had at least 1 mutation: 24%, 18%, 9%, and 3% of patients had 1, 2, 3, and 4 mutations, respectively. 41% were carriers of KIR haplotype AA, and 59% were haplotype Bx. Relapse (p=0.40), relapse-free (p=0.33), and overall survival (p=0.30) between haplotypes AA and Bx were not statistically different. However, when considering somatic mutations in the context of KIR haplotypes, those with any somatic mutation (n= 18) present had inferior relapse-free (p=0.002) and overall survival (p=0.002; figures A-B) as compared to those with none. Further assessment of outcomes was then considered for those who had the following poor prognostic mutations (n=12): ASXL1, DNMT3A, FLT3, NRAS, RUNX1, and TET2. KIR haplotype AA with one or more of these mutations was associated with inferior relapse-free (p=0.05) and overall survival (p=0.008). At median follow-up of 83 (range 66-137) months, 38% were alive. Non-relapse mortality rates were 21% (9-36) at 1 year and 29% (15-39) at 3 years. The most common causes of death for all patients were relapse (48%) followed by infection (33%). Conclusion: In presence of somatic mutations, carrying KIR haplotypes Bx was associated with better survival in AML post-alloHCT. The presence of multiple activating KIRs may also help mitigate the worse prognosis associated with some of the more deleterious somatic mutations in AML. These observations may have implications for improving patient risk stratification prior to transplant and optimizing donor selection. Future investigation with larger cohorts interrogating KIR haplotypes in the context of pre-transplant AML somatic mutations on post-transplant outcomes may further elucidate which patients may benefit most from transplant. Disclosures Nazha: Tolero, Karyopharma: Honoraria; Abbvie: Consultancy; Daiichi Sankyo: Consultancy; Novartis: Speakers Bureau; Jazz Pharmacutical: Research Funding; Incyte: Speakers Bureau; MEI: Other: Data monitoring Committee. Mukherjee:Bristol-Myers Squibb: Speakers Bureau; Projects in Knowledge: Honoraria; Celgene Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Partnership for Health Analytic Research, LLC (PHAR, LLC): Consultancy; McGraw Hill Hematology Oncology Board Review: Other: Editor; Pfizer: Honoraria; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees. Advani:Pfizer: Honoraria, Research Funding; Macrogenics: Research Funding; Glycomimetics: Consultancy, Research Funding; Kite Pharmaceuticals: Consultancy; Amgen: Research Funding; Abbvie: Research Funding. Gerds:Sierra Oncology: Research Funding; Incyte: Consultancy, Research Funding; CTI Biopharma: Consultancy, Research Funding; Imago Biosciences: Research Funding; Celgene Corporation: Consultancy, Research Funding; Roche: Research Funding; Pfizer: Consultancy. Sekeres:Celgene: Membership on an entity's Board of Directors or advisory committees; Syros: Membership on an entity's Board of Directors or advisory committees; Millenium: Membership on an entity's Board of Directors or advisory committees. Majhail:Mallinckrodt: Honoraria; Atara Bio: Consultancy; Anthem, Inc.: Consultancy; Nkarta: Consultancy; Incyte: Consultancy. Maciejewski:Novartis: Consultancy; Alexion: Consultancy.

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The Application of Machine Learning to Improve the Subclassification and Prognostication of Acute Myeloid Leukemia

Blood ◽

10.1182/blood-2020-139013 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 28-28

Author(s):

Hassan Awada ◽

Arda Durmaz ◽

Carmel Gurnari ◽

Ashwin Kishtagari ◽

Manja Meggendorfer ◽

...

Keyword(s):

Board Of Directors ◽

Myeloid Leukemia ◽

Research Funding ◽

Somatic Mutations ◽

Cross Validation ◽

Steering Committee ◽

Advisory Board ◽

Advisory Committees ◽

Genomic Features ◽

Acute Myeloid

Genetic mutations (somatic or germline), cytogenetic abnormalities and their combinations contribute to the heterogeneity of acute myeloid leukemia (AML) phenotypes. To date, prototypic founder lesions [e.g., t(8;21), inv(16), t(15;17)] define only a fraction of AML subgroups with specific prognoses. Indeed, in a larger proportion of AML patients, somatic mutations or cytogenetic abnormalities potentially serve as driver lesions in combination with numerous acquired secondary hits. However, their combinatorial complexity can preclude the resolution of distinct genomic classifications and overlap across classical pathomorphologic AML subtypes, including de novo/primary (pAML) and secondary AML (sAML) evolving from an antecedent myeloid neoplasm (MN). These prognostically discrete AML subtypes are themselves nonspecific due to variable understanding of their pathogenetic links, especially in cases without overt dysplasia. Without dysplasia, reliance is mainly on anamnestic clinical information that might be unavailable or cannot be correctly assigned due to a short prodromal history of antecedent MN. We explored the potential of genomic markers to sub-classify AML objectively and provide unbiased personalized prognostication, irrespective of the clinicopathological information, and thus become a standard in AML assessment. We collected and analyzed genomic data from a multicenter cohort of 6788 AML patients using standard and machine learning (ML) methods. A total of 13,879 somatic mutations were identified and used to predict traditional pathomorphologic AML classifications. Logistic regression modeling (LRM) detected mutations in CEBPA (both monoallelic "CEBPAMo" and biallelic "CEBPABi"), DNMT3A, FLT3ITD, FLT3TKD, GATA2, IDH1, IDH2R140, NRAS, NPM1 and WT1 being enriched in pAML while mutations in ASXL1, RUNX1, SF3B1, SRSF2, U2AF1, -5/del(5q), -7/del(7q), -17/del(17P), del(20q), +8 and complex karyotype being prevalent in sAML. Despite these significant findings, the genomic profiles of pAML vs. sAML identified by LRM resulted in only 74% cross-validation accuracy of the predictive performance when used to re-assign them. Therefore, we applied Bayesian Latent Class Analysis that identified 4 unique genomic clusters of distinct prognoses [low risk (LR), intermediate-low risk (Int-Lo), intermediate-high risk (Int-Hi) and high risk (HR) of poor survival) that were validated by survival analysis. To link each prognostic group to pathogenetic features, we generated a random forest (RF) model that extracted invariant genomic features driving each group and resulted in 97% cross-validation accuracy when used for prognostication. The model's globally most important genomic features, quantified by mean decrease in accuracy, included NPM1MT, RUNX1MT, ASXL1MT, SRSF2MT, TP53MT, -5/del(5q), DNMT3AMT, -17/del(17p), BCOR/L1MT and others. The LR group was characterized by the highest prevalence of normal cytogenetics (88%) and NPM1MT (100%; 86% with VAF>20%) with co-occurring DNMT3AMT (52%), FLT3ITD-MT (27%; 91% with VAF <50%), IDH2R140-MT (16%, while absent IDH2R172-MT), and depletion or absence of ASXL1MT, EZH2MT, RUNX1MT, TP53MT and complex cytogenetics. Int-Lo had a higher percentage of abnormal cytogenetics cases than LR, the highest frequency of CEBPABi-MT (9%), IDH2R172K-MT (4%), FLT3ITD-MT (14%) and FLT3TKD-MT (6%) occurring without NPM1MT, while absence of NPM1MT, ASXL1MT, RUNX1MT and TP53MT. Int-Hi had the highest frequency of ASXL1MT (39%), BCOR/L1MT (16%), DNMT3AMT without NPM1MT (19%), EZH2MT (9%), RUNX1MT (52%), SF3B1MT (7%), SRSF2MT (38%) and U2AF1MT (12%). Finally, HR had the highest prevalence of abnormal cytogenetics (96%), -5/del(5q) (68%), -7del(7q) (35%), -17del(17p) (31%) and the highest odds of complex karyotype (76%) as well as TP53MT (70%). The model was then internally and externally validated using a cohort of 203 AML cases from the MD Anderson Cancer Center. The RF prognostication model and group-specific survival estimates will be available via a web-based open-access resource. In conclusion, the heterogeneity inherent in the genomic changes across nearly 7000 AML patients is too vast for traditional prediction methods. Using newer ML methods, however, we were able to decipher a set of prognostic subgroups predictive of survival, allowing us to move AML into the era of personalized medicine. Disclosures Advani: OBI: Research Funding; Abbvie: Research Funding; Macrogenics: Research Funding; Glycomimetics: Consultancy, Other: Steering committee/ honoraria, Research Funding; Immunogen: Research Funding; Seattle Genetics: Other: Advisory board/ honoraria, Research Funding; Amgen: Consultancy, Other: steering committee/ honoraria, Research Funding; Kite: Other: Advisory board/ honoraria; Pfizer: Honoraria, Research Funding; Novartis: Consultancy, Other: advisory board; Takeda: Research Funding. Ravandi:Abbvie: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria; Amgen: Consultancy, Honoraria, Research Funding; Astellas: Consultancy, Honoraria, Research Funding; Orsenix: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria; Jazz Pharmaceuticals: Consultancy, Honoraria, Research Funding; Xencor: Consultancy, Honoraria, Research Funding; Macrogenics: Research Funding; BMS: Consultancy, Honoraria, Research Funding. Carraway:Novartis: Consultancy, Speakers Bureau; Takeda: Other: Independent Advisory Committe (IRC); Stemline: Consultancy, Speakers Bureau; BMS: Consultancy, Other: Research support, Speakers Bureau; Abbvie: Other: Independent Advisory Committe (IRC); ASTEX: Other: Independent Advisory Committe (IRC); Jazz: Consultancy, Speakers Bureau. Saunthararajah:EpiDestiny: Consultancy, Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties. Kantarjian:Sanofi: Research Funding; Actinium: Honoraria, Membership on an entity's Board of Directors or advisory committees; Daiichi-Sankyo: Honoraria, Research Funding; BMS: Research Funding; Abbvie: Honoraria, Research Funding; Aptitute Health: Honoraria; Pfizer: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Jazz: Research Funding; Immunogen: Research Funding; Adaptive biotechnologies: Honoraria; Ascentage: Research Funding; Amgen: Honoraria, Research Funding; BioAscend: Honoraria; Delta Fly: Honoraria; Janssen: Honoraria; Oxford Biomedical: Honoraria. Kadia:Pfizer: Honoraria, Research Funding; Novartis: Honoraria; Cyclacel: Research Funding; Ascentage: Research Funding; Astellas: Research Funding; Cellenkos: Research Funding; JAZZ: Honoraria, Research Funding; Astra Zeneca: Research Funding; Celgene: Research Funding; Incyte: Research Funding; Pulmotec: Research Funding; Abbvie: Honoraria, Research Funding; Genentech: Honoraria, Research Funding; BMS: Honoraria, Research Funding; Amgen: Research Funding. Sekeres:Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; Takeda/Millenium: Consultancy, Membership on an entity's Board of Directors or advisory committees. Maciejewski:Alexion, BMS: Speakers Bureau; Novartis, Roche: Consultancy, Honoraria.

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Efficacy of Venetoclax Combination Therapy with Hypomethylating Agents in Patients with Relapsed Acute Myeloid Leukemia after Allogeneic Hematopoietic Cell Transplantation

Blood ◽

10.1182/blood-2019-129514 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 5089-5089 ◽

Cited By ~ 1

Author(s):

Varun Mittal ◽

Mimi Lo ◽

Lloyd E. Damon ◽

Karin L. Gaensler ◽

Thomas G. Martin ◽

...

Keyword(s):

Acute Myeloid Leukemia ◽

High Risk ◽

Board Of Directors ◽

Myeloid Leukemia ◽

Research Funding ◽

Hematopoietic Cell Transplantation ◽

Hypomethylating Agents ◽

Advisory Committees ◽

Allogeneic Hct ◽

Acute Myeloid

Introduction: Venetoclax (VEN), a selective BCL-2 inhibitor, in combination with hypomethylating agents (HMA) has high efficacy in treatment-naïve elderly patients with acute myeloid leukemia (AML). The role for VEN in patients with relapsed/refractory (R/R) AML, myelodysplastic syndrome (MDS), or other myeloproliferative neoplasms remains incompletely defined. In particular, the efficacy of VEN+HMA has not been studied systematically in patients who experience AML relapse following allogeneic hematopoietic cell transplantation (HCT). Method: All patients treated with VEN+HMA (azacitidine or decitabine) for R/R de novo or secondary AML or progressive MDS following allogeneic HCT were identified and reviewed retrospectively. All included AML patients had overt clinical relapse with ≥ 5% bone marrow blasts or extramedullary disease biopsy proven to be AML. Patients were included in this analysis if they received at least 14 days of VEN therapy. Results: Eleven patients with median age 66 (range 25-75) were treated for R/R AML post-allogeneic HCT. Transplant characteristics included use of reduced intensity conditioning in 10/11 (91%), matched sibling donors in 5/11 (45%), matched unrelated donors in 5/11 (45%), and cord blood in 1/11 patients. The median time from HCT to relapse/disease progression was 7 months (range 3-36). Two patients had extramedullary relapse only, and the remainder had marrow involvement. Eight patients (73%) received azacitidine and 3 (27%) received decitabine in combination with VEN. All but two patients (82%) had prior HMA exposure and most received VEN+HMA as initial post-transplant salvage therapy (64%). Only one patient received donor lymphocyte infusion in conjunction with VEN+HMA therapy, and none proceeded to a second allotransplant. Nine patients (82%) experienced an objective response, which included 4 CR/CRi (36%) and 5 PR/SD (45%). In patients with CR/CRi, three patients had adverse risk cytogenetics and one had a favorable risk profile at diagnosis consisting of normal cytogenetics with an isolated NPM1 mutation. All patients who failed to remit with VEN+HMA had intermediate- or high-risk genetic features. The median number of treatment cycles given was 3 (range 1-20). Median survival was 11 months and estimated 6-month and 12-month survival was 82% and 36%, respectively. Three patients remain alive with median 16.5 months follow-up (range 2.5-32). Conclusion: Venetoclax in combination with HMA is a viable salvage option in patients with relapsed AML or progressive MDS after allogeneic HCT, including those with prior exposure to HMA. Although one patient in this cohort sustained long term complete remission, overall prognosis remains dismal in this high-risk patient population and improved treatment options for relapsed/refractory AML following alloHCT remain needed. Disclosures Damon: Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Martin:Amgen, Sanofi, Seattle Genetics: Research Funding; Roche and Juno: Consultancy. Olin:MedImmune: Research Funding; Ignyta: Research Funding; Clovis: Research Funding; AstraZeneca: Research Funding; Revolution Medicine: Consultancy; Daiichi Sankyo: Research Funding; Astellas: Research Funding; Genentech: Consultancy, Research Funding; Pfizer: Research Funding; Jazz Pharmaceuticals: Consultancy, Honoraria; Novartis: Research Funding; Mirati Therapeutics: Research Funding; Spectrum: Research Funding. Smith:Astellas Pharma: Research Funding; Abbvie: Research Funding; fujiFilm: Research Funding; Revolution Medicines: Research Funding. Logan:Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy; Pharmacyclics: Research Funding; Astellas: Research Funding; Jazz: Research Funding; Kite: Research Funding; Incyte: Membership on an entity's Board of Directors or advisory committees; TeneoBio: Consultancy; Kiadis: Consultancy; Kadmon: Research Funding; Abbvie: Consultancy.

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Low Incidence of Chronic Graft-Versus-Host Disease in Myeloablative Allogeneic Hematopoietic Cell Transplantation with Post-Transplant Cyclophosphamide Using Matched Related or Unrelated Donors: Phase II Study Interim Analysis

Blood ◽

10.1182/blood-2021-147569 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 1811-1811

Author(s):

Najla H El Jurdi ◽

Daniel O'Leary ◽

Fiona He ◽

Todd E. DeFor ◽

Armin Rashidi ◽

...

Keyword(s):

Board Of Directors ◽

Cumulative Incidence ◽

Research Funding ◽

Acute Gvhd ◽

Hematopoietic Cell Transplantation ◽

Chronic Gvhd ◽

Advisory Committees ◽

Post Transplant ◽

Gvhd Prophylaxis ◽

Preparative Regimen

Abstract Introduction Allogeneic hematopoietic cell transplantation (HCT) is the only potentially curative treatment for many high-risk hematologic malignancies. Myeloablative conditioning is currently the standard of care for young and fit patients; however, graft-versus-host disease (GVHD) continues to be a major limitation to the success of HCT, increasing post-transplant morbidity and mortality. An ideal HCT is one combining strategies that reduce incidence and severity of GVHD, without compromising graft-versus-tumor effect. We hypothesized that GVHD prophylaxis regimen consisting of post-transplant cyclophosphamide (PTCy), tacrolimus (Tac) and mycophenolate mofetil (MMF) will reduce the incidence of chronic GVHD in patients receiving a standard hematopoietic myeloablative HCT without an increase in risk of malignant relapse. Methods This is an interim analysis of a phase II study using a myeloablative preparative regimen of either: 1. total body irradiation (TBI, total dose 1320 cGy administered twice a day from days -4 to -1) or 2. Busulfan 3.2mg/kg daily (cumulative AUC 19,000 - 21,000 µmol/min/L) plus fludarabine 160mg/m 2 days -5 to -2 for patients unable to receive further radiation, followed by a GVHD prophylaxis regimen of PTCy (50mg/kg days +3 and +4), Tac and MMF (beginning day +5). The primary endpoint is cumulative incidence of chronic GVHD requiring systemic immunosuppressive treatment at 1 year post-transplant. Patient and disease characteristics are detailed in Table 1. Eligibility included: age ≤ 60 years, malignant or non-malignant diagnosis, matched related (MRD) or unrelated (MUD) donor with either a bone marrow (BM) or filgrastim-mobilized peripheral blood (PB) graft. Results Through October 2020 we treated 63 patients with a median follow up of 502 days post-transplant. Of those, 48% were female and n=11 (17%) younger than 18 with median age at HCT of 36 years (range, 2-55; Interquartile range [IQR], 20-48). Donor source was 8/8 MRD in 44 patients (70%), 8/8 MUD in 18 (29%), and one with 7/8 MUD. Graft source was BM in n=28 (44%) and PB in n=35 (56%). Preparative regimen was TBI in 94% of patients. All patients achieved primary neutrophil engraftment by 42 days, median 16 days (range, 13-27). Overall, 94% achieved platelet engraftment by 6 months, median 25 days (range, 16-98). At day 100, 48 patients (86%) achieved full donor bone marrow chimerism (>95% donor DNA); 29 (52%) and 52 (95%) achieved full donor peripheral blood CD3 and CD33 chimerism (defined as >95% donor). 42 patients (66%) required total parenteral nutrition (TPN) for oral mucositis and regimen-related toxicities during their initial transplant admission. Cumulative incidence of Grade II-IV acute GVHD by 100 days post-transplant was 14% overall (95% confidence interval CI: 6-23%), 7% for MRD and 32% for the MUD group; Grade III-IV acute GVHD was 5% overall (CI: 0-10%), similar for both MRD and MUD group. At 1 year, only two patients receiving a PBSC graft developed chronic GVHD requiring immune suppression, for a cumulative incidence of 3% overall, one in the MRD group and one in the MUD group. Two-year cumulative incidence of relapse was estimated at 21% overall, 22% and 16% for the MRD and MUD groups, respectively. Two year cumulative incidence of non-relapse mortality was 13% overall, 15% and 5% for MRD and MUD, respectively. Estimated 2-year overall survival was 79% overall (CI: 65-88%), 75% for the MRD group and 95% for MUD. Estimated 2-year GVHD-free relapse free survival (GRFS) was 57% overall (CI: 42-69%), 56% and 63% in the MRD and MUD groups, respectively. Discussion Myeloablative transplantation with a TBI preparative regimen, followed by a GVHD prophylaxis regimen of PTCy, Tac, and MMF results in very low incidence of chronic GVHD. Importantly, this regimen is feasible and effective for pediatric and adult patients. Further improvement in outcomes can be achieved by incorporating post-transplant relapse mitigating strategies as well as supportive care measures to decrease regimen-related toxicities. Figure 1 Figure 1. Disclosures Arora: Kadmom: Research Funding; Pharmacyclics: Research Funding; Syndax: Research Funding. Janakiram: Bristol Meyer Squibb, Kyowa Kirin, ADCT Therapeutics: Honoraria; FATE, Nektar Therapeutics: Research Funding. Smith: Astellas Gene Therapies: Current Employment. Bachanova: Incyte: Research Funding; KaryoPharma: Membership on an entity's Board of Directors or advisory committees; FATE: Membership on an entity's Board of Directors or advisory committees, Research Funding; Gamida Cell: Membership on an entity's Board of Directors or advisory committees, Research Funding. Brunstein: BlueRock: Research Funding; AlloVir: Consultancy; FATE: Research Funding; NANT: Research Funding; GamidaCell: Research Funding. MacMillan: Equilium: Other: DSMB member; Incyte: Consultancy; Jazz Pharmaceuticals: Consultancy. Miller: Sanofi: Membership on an entity's Board of Directors or advisory committees; Magenta: Membership on an entity's Board of Directors or advisory committees; ONK Therapeutics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Vycellix: Consultancy; GT Biopharma: Consultancy, Patents & Royalties, Research Funding; Fate Therapeutics, Inc: Consultancy, Patents & Royalties, Research Funding; Wugen: Membership on an entity's Board of Directors or advisory committees. Betts: Patent Disclosures: Patents & Royalties: B.C.B. holds a patent (WO2015120436A2) related to CD4+ T cell pSTAT3 as a marker and therapeutic target of acute GVHD. B.C.B. additionally holds a provisional patent (WO2017058950A1) related to the use of JAK inhibitors for rejection and GVHD prevention. . Vercellotti: Mitobridge, an Astellas Company: Consultancy, Research Funding; CSL Behring: Research Funding. Weisdorf: Fate Therapeutics: Research Funding; Incyte: Research Funding. Holtan: Generon: Consultancy; Incyte: Consultancy, Research Funding.

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Results from the Completed Dose-Escalation of the Hematological Arm of the Phase I Think Study Evaluating Multiple Infusions of NKG2D-Based CAR T-Cells As Standalone Therapy in Relapse/Refractory Acute Myeloid Leukemia and Myelodysplastic Syndrome Patients

Blood ◽

10.1182/blood-2019-128020 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 3826-3826 ◽

Cited By ~ 3

Author(s):

David A Sallman ◽

Jason B. Brayer ◽

Xavier Poire ◽

Violaine Havelange ◽

Ahmad Awada ◽

...

Keyword(s):

T Cells ◽

Board Of Directors ◽

Myeloid Leukemia ◽

Research Funding ◽

Clinical Activity ◽

Advisory Committees ◽

Time Of Presentation ◽

Dose Limiting Toxicity ◽

Nkg2d Receptor ◽

Advisory Role

CYAD-01 cells are engineered T-cells expressing a chimeric antigen receptor (CAR) based on the natural full-length human natural killer group 2D (NKG2D) receptor fused to the intracellular domain of CD3ζ. NKG2D receptor binds to 8 ligands (MICA/B, ULBP1-6) expressed by a large variety of malignancies, including acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS). The hematological arm of the Phase I THINK study (NCT03018405) evaluates the safety and clinical activity of multiple CYAD-01 infusions (inf) without any prior preconditioning chemotherapy in r/r AML, MDS and multiple myeloma (MM) patients (pts). Three dose levels (DL) were evaluated: 3x108, 1x109 and 3x109 T-cells/inf. The first cycle of the treatment consists of 3 CYAD-01 infusions every 2 weeks and a potential 2nd cycle of 3 CYAD-01 infusions every 2 weeks if the patient is not in progressive disease (PD) at the end of the 1st cycle. Additional cohorts evaluate DL2 and DL3 following a denser treatment schedule for the 1st cycle of treatment, with the first 3 CYAD-01 infusions administered every week. As of end of July 2019, 16 pts were enrolled in the dose-escalation segment of the hematological cohort with the initial schedule (CYAD-01 infusions every 2 weeks) for 1st cycle, now completed. In total (uncleaned database), 7 pts experienced grade (G) 3/4 treatment-related adverse events (AEs). Cytokine release syndrome (CRS) occurred in 7 pts with only 2 pts at DL2 who experienced G3 CRS and 1 pt who experienced G4 CRS at DL3 reported as a dose-limiting toxicity (DLT). All CRS AEs resolved with early tocilizumab treatment. No treatment-related neurotoxicity AEs have been observed. Out of the 10 AML/MDS pts who received at least 3 CYAD-01 infusions and were assessed for clinical activity, 4 showed overall response (OR) at Day 29 of which 1 complete remission (CR) with partial hematologic recovery (CRh) for > 21 months in a r/r AML pt at DL1, 2 CR with incomplete hematologic recovery (CRi) for 1 month in AML pt at DL1 and DL3, and 1 marrow CR (mCR) for 1 month in an MDS pt at DL3. 2 AML pts at DL2 had stable disease (SD) for ≥ 3 months with bone marrow (BM) blast percentage decrease. Two other AML pts in DL3 achieved SD for at least 2 months. 2 AML pts did not have evidence of clinical response. The 2 evaluable MM pts did not show evidence of clinical response. As of end of July 2019, 8 pts were enrolled in cohorts with the dense schedule (4 in DL2 and 4 in DL3). Recruitment at 3x109 T-cells/inf. is still ongoing and is expected to be completed by the time of presentation. At DL2 (uncleaned database), only 1 pt out of 4 experienced a study treatment-related G4 AE (infusion related reaction). The 3 other pts experienced G1 or 2 study treatment-related AEs, with 3 pts who experienced G1/2 CRS. One AML pt reached a stable disease at the Day 32 tumor evaluation. At DL3, 2 out of 4 currently enrolled pts experienced study treatment related G3 AE (CRS) after their first CYAD-01 infusion. One of these G3 CRS was reported as a dose-limiting toxicity. Altogether, results obtained to date demonstrate an encouraging safety and tolerability profile of CYAD-01 without preconditioning chemotherapy in pts with r/r hematological malignancies. Encouraging anti-leukemic activity was observed in 6 out of 13 (46%) evaluable r/r AML/MDS pts in the THINK study, presenting relevant decrease in BM blasts. Four objective responses (1 CRh, 2 CRi, 1 mCR) were observed with the initial schedule. At DL2, the denser schedule did not modify the safety profile while increasing the area under the curve of CYAD-01 peripheral blood levels, which could suggest a possible impact on clinical activity at DL3, results expected by the time of presentation. Disclosures Sallman: Celyad: Membership on an entity's Board of Directors or advisory committees. Brayer:Janssen: Consultancy, Speakers Bureau; BMS: Consultancy, Speakers Bureau. Awada:Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Lilly: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; EISAI: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; BMS: 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; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; MSD: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Genomic Health: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Ispen: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; AstraZeneca: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bayer: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Leo Pharma: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Wang:Abbvie: Other: Advisory role; Kite: Other: Advisory role; Jazz: Other: Advisory role; Astellas: Other: Advisory role, Speakers Bureau; celyad: Other: Advisory role; Pfizer: Other: Advisory role, Speakers Bureau; Stemline: Other: Advisory role, Speakers Bureau; Daiichi: Other: Advisory role; Amgen: Other: Advisory role; Agios: Other: Advisory role. Lonez:Celyad: Employment. Lequertier:Celyad: Employment. Alcantar-Orozco:Celyad: Employment. Braun:Celyad: Employment. Flament:Celyad: Employment.

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Incidence and Risk Factors of CMV Reactivation after Haploidentical Hematopoietic Cell Transplantation Using High-Dose Post-Transplant Cyclophosphamide - Possible Role of Donor KIR Genotypes

Blood ◽

10.1182/blood-2018-99-113514 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 3416-3416

Author(s):

Monzr Al Malki ◽

Sanjeet Dadwal ◽

Dongyun Yang ◽

Sally Mokhtari ◽

Thai Cao ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Hematopoietic Cell Transplantation ◽

Univariate Analysis ◽

Multivariable Analysis ◽

High Dose ◽

Advisory Committees ◽

Post Transplant ◽

Haploidentical Hematopoietic Cell Transplantation ◽

Cmv Reactivation

Abstract Haploidentical hematopoietic cell transplantation (HaploHCT) using high-dose post-transplant cyclophosphamide (PTCy) has been increasingly used in patients with hematologic disorders with promising results. However, limited data are available on the incidence, pattern, and risk factors including donor/recipient KIR genotypes for cytomegalovirus (CMV) reactivation after HaploHCT with PTCy. Furthermore, the impact of CMV reactivation on HaploHCT outcomes is not yet well-described. In this retrospective study, we evaluated a series of 119 consecutive patients who underwent HaploHCT with PTCy at City of Hope for hematological diseases, between January 2009 and December 2016. CMV reactivation was monitored by our institutional PCR assay (quantitative detection limit: 500 gc/ml, qualitative limit: 250 gc/ml) at least once a week for 100 days post-transplant, with preemptive anti-CMV therapy for positive PCR according to our institutional guidelines. The median age of the cohort was 43 years (range: 2 to 71 years); with 47 female and 72 male patients. CMV serostatus of donor/recipient was Donor−/Recipient− (D−/R−) in 7, D+/R− in 6, D−/R+ in 23, and D+R+ in 82 patients. Patients received fully ablative (n=46) or reduced intensity/non-myeloablative conditioning (n=73) followed by peripheral blood stem cell (n=81) or bone marrow (n=38) graft from sibling (n=42) or non-sibling haploidentical donors (n=77). Graft-versus-host disease (GVHD) prophylaxis was PTCy plus tacrolimus/mycophenolate mofetil. Diagnoses of these patients were acute leukemia (n=80), bone marrow failure (n=15), lymphoma (n=11), chronic leukemia (n=6), hemoglobinopathies (n=5), and multiple myeloma (n=2), and the HCT-comorbidity index was more than 2 in 42% (n=50) of patients. Cumulative incidence (CI) of CMV reactivation for the entire cohort was 68.1% (95%CI: 58.8-75.7%) at 100-days, with the median time to reactivation at 35 days (95%CI: 33-40); 76.2% in seropositive recipients and 7.7% in seronegative recipients (p<0.001). (Figure 1) Among 81 patients with any CMV reactivation; median initial viral load was 624 copies/mL (range: <500- 9930) and peak viral load was 2601 copies/mL (range: <500-166,865) with median CMV area under the curve (AUC) of 28,002 (range: 1671.0-2,149,929.5). In seropositive recipients (n=105), CI of CMV reactivation was 76.5% (95%CI: 66.9-83.6%) with the median onset of CMV reactivation at 33 days (95%CI: 30-36). Majority of patients (n=62) experienced only one reactivation episode with the median duration of 17 days (range=1-62) while 16 patients experienced more than one reactivation episodes with the median duration of 63.5 days (range: 33-78). Prolonged CMV exposure (>17days of CMV viremia) was seen in 47 patients. In univariate analysis; recipient CMV serostatus, recipient sex, and stem cell source were statistical significant factors, affecting CI of CMV reactivation, but only recipient CMV serostatus stood as an independent factor on multivariable analysis (HR=15.5, 95%CI: 2.3-106.3 for R+ compared to R−, p=0.005) (Figure 1). We also evaluated the effect of KIR status on the CI of CMV reactivation. Multivariable analysis indicated a trend towards decreased incidence of CMV reactivation in donors with 2DS5 and 3DS1 (HR= 0.71 for both donors; p value= 0.1). Donor-recipient KIR mismatch was also associated with a trend towards increased incidence of CMV reactivation (p=0.1) and statistically significant prolonged CMV reactivation (OR=2.48, 95%CI: 1.12-5.47, p=.025). With median follow up duration of 24.3 months (range: 10.3 to 99.2) and in univariate analysis, CMV reactivation, higher peak CMV PCR, time to CMV reactivation, or prolonged exposure to CMV were not associated with worse overall survival (OS), relapse-free survival (RFS), relapse incidence, or non-relapse mortality (NRM). Interestingly, the risk of extensive chronic GVHD was greater in patients who had no CMV reactivation than those who developed prolonged/recurrent CMV reactivations (41.9% vs. 26.2%, p= 0.046) In conclusion, recipient and not donor serostatus is predictive of CMV reactivation in HaploHCT with PTCy. With the current pre-emptive therapy approach, CMV reactivation did not translate into higher rate of CMV disease or worse survival outcome. Donor-recipient KIR match (KIR licensing) and donor activating KIR genes (2DS5 and 3DS1) may be involved with CMV control after HaploHCT. Figure 1. Figure 1. Disclosures Dadwal: MERK: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Shire: Research Funding; AiCuris: Research Funding; Gilead: Research Funding. Ali:Incyte Corporation: Membership on an entity's Board of Directors or advisory committees. Salhotra:Kadmon Corporation, LLC: Consultancy. Forman:Mustang Therapeutics: Other: Licensing Agreement, Patents & Royalties, Research Funding.

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Clearance of Somatic Gene Mutations in Patients with Acute Myeloid Leukemia Prior to Allogeneic Hematopoietic Cell Transplantation (HCT) Predicts Outcome

Blood ◽

10.1182/blood-2019-130922 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4621-4621

Author(s):

Onyee Chan ◽

Chetasi Talati ◽

Hannah Asghari ◽

Nelli Bejanyan ◽

Hany Elmariah ◽

...

Keyword(s):

Board Of Directors ◽

Myeloid Leukemia ◽

Research Funding ◽

Hematopoietic Cell Transplantation ◽

Residual Disease ◽

Conditioning Regimen ◽

Gene Mutations ◽

Advisory Committees ◽

Somatic Gene ◽

Line Of Therapy

Background: In recent years, genomic studies have uncovered a number of driver gene mutations in acute myeloid leukemia (AML). There is great interest in leveraging residual disease detection methods including next-generation sequencing (NGS) to predict outcomes, especially in the setting of allogeneic hematopoietic cell transplantation (HCT). One study showed measurable minimal residual disease (MRD) at the time of HCT increases the risk of relapse in patients who received a reduced-intensity conditioning (RIC) regimen (Hourigan et al. 2019). In this study, we evaluate the prognostic impact of somatic mutation clearance using NGS prior to HCT in patients with AML. Methods: We identified a total of 139 patients with AML who underwent HCT at the Moffitt Cancer Center (2013-2018). Using European LeukemiaNet (ELN) criteria, patients were included if at the time of HCT they were adverse risk in complete remission (CR)1, intermediate risk in CR1, favorable risk in CR1 if indication for transplant present, or favorable risk in CR2 with at least one time point when NGS was performed before and after HCT. We utilized clinical data captured by BMT Research and Analysis Information Network (BRAIN). Molecular testing via NGS included 54-gene TruSight Myeloid panel tested on Illumina sequencers with a lower limit of detection of 5%. Positive persistent detectable disease (PDD) was defined as presence of detectable mutations on NGS at HCT. Univariate and multivariate analyses were conducted using log-rank and Cox regression, respectively. Kaplan-Meier analysis was used to estimate overall survival (OS) and relapse free survival (RFS) from the time of diagnosis. Cumulative incidence of relapse (CIR) and non-relapse mortality (NRM) were calculated by the Fine and Gray model. Results: Of the 139 patients (74 males/65 females), 59% were PDD positive at HCT and 41% PDD negative at HCT. Median age at HCT was 59 years. More patients were in ELN-defined adverse risk (46.8%) in comparison to intermediate risk (35.3%) or favorable risk (18%). In both cohorts, majority of the patients had 1 line of therapy prior to HCT. Overall, 57.6% of patients received myeloablative conditioning regimen (MAC) with the remaining receiving RIC. More patients received MAC in both PDD positive at HCT and PPD negative at HCT groups (Table 1). There were 35 patients (25.2%) who relapsed after HCT, and 17 had NGS available at diagnosis, at the time of HCT, and at relapse. The mutation frequencies and changes over time are shown in Figure 1. Univariate analysis showed inferior OS in patients who are PDD positive at HCT compared to PDD negative at HCT (HR 1.98, 95% CI 1.06-3.72, p=0.032). After adjusting for ELN risk and PDD status, the patients who received more than 1 line of therapy prior to HCT had significantly worse OS (p=0.005). Patients with negative PDD at HCT had a significantly better OS at 2-year compared to PDD positive at HCT patients, 78.7% vs. 62.4% (p=0.029) with a median follow up of 29.9 months (Figure 2A). The RFS at 2-year were 72.6% for PDD negative at HCT patients and 51.8% for PDD positive at HCT patients (p=0.090). There was no difference in NRM or CIR between these two groups (p=0.605 and p=0.136, respectively). Further subgroup analysis did not find a significant difference between PDD status and different types of conditioning regimen (Figure 2B). Conclusions: In this study, we report that clearance of somatic gene mutations in AML patients prior to HCT confers better outcomes compared to those with measurable PDD at HCT. There is a survival advantage in patients who received fewer lines of treatment prior to HCT. Larger cohort and greater depth of NGS coverage is needed to better clarify the impact of conditioning regimen in this population. Disclosures Talati: Jazz Pharmaceuticals: Honoraria, Speakers Bureau; Daiichi-Sankyo: Honoraria; Astellas: Honoraria, Speakers Bureau; Pfizer: Honoraria; Celgene: Honoraria; Agios: Honoraria. Bejanyan:Kiadis Pharma: Other: advisory board. Komrokji:JAZZ: Consultancy; Agios: Consultancy; Incyte: Consultancy; DSI: Consultancy; pfizer: Consultancy; celgene: Consultancy; Novartis: Speakers Bureau; JAZZ: Speakers Bureau. Kuykendall:Janssen: Consultancy; Incyte: Honoraria, Speakers Bureau; Abbvie: Honoraria; Celgene: Honoraria. Lancet:Daiichi Sankyo: Consultancy, Other: fees for non-CME/CE services ; Agios, Biopath, Biosight, Boehringer Inglheim, Celator, Celgene, Janssen, Jazz Pharmaceuticals, Karyopharm, Novartis: Consultancy; Pfizer: Consultancy, Research Funding. List:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Nishihori:Novartis: Research Funding; Karyopharm: Research Funding. Sallman:Abbvie: Speakers Bureau; Novartis: Speakers Bureau; Jazz: Research Funding; Incyte: Speakers Bureau; Celyad: Membership on an entity's Board of Directors or advisory committees; Celgene: Research Funding, Speakers Bureau. Sweet:Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Celgene: Speakers Bureau; Pfizer: Consultancy; Incyte: Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Agios: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Stemline: Consultancy; Jazz: Speakers Bureau.

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Improving Revised International Prognostic Scoring System (IPSS-R) Pre-Allogeneic Stem Cell Transplant Does Not Translate into Better Post-Transplant Outcomes for Patients with Myelodysplastic Syndromes

Blood ◽

10.1182/blood.v128.22.4662.4662 ◽

2016 ◽

Vol 128 (22) ◽

pp. 4662-4662

Author(s):

Musa Alzahrani ◽

Maryse M Power ◽

Emilie Nevill ◽

Yasser Abou Mourad ◽

Michael J Barnett ◽

...

Keyword(s):

Bone Marrow ◽

Board Of Directors ◽

Research Funding ◽

Patient Characteristics ◽

Allogeneic Transplant ◽

Advisory Committees ◽

Post Transplant ◽

Transplant Outcomes ◽

Graft Vs Host Disease ◽

Blast Count

Abstract Background: The myelodysplastic syndromes (MDS) encompass a heterogeneous group of hematopoietic stem cell disorders characterized by dysplastic and ineffective blood cell production leading to cytopenia and a variable risk of transformation to acute myeloid leukemia. The natural history of patients (pts) with MDS is variable and several prognostic scoring systems have been developed to guide treatment decisions. The revised IPSS (IPSS-R) score is commonly used in practice to predict outcome in newly diagnosed pts as well as in predicting their transplant outcomes. It remains unclear however whether improving IPSS-R pre allogeneic transplant (allo-SCT), using different therapeutic strategies, is associated with better clinical outcomes post-transplant. Methods: The Leukemia/BMT Program of British Columbia database was queried to identify all pts with MDS who had undergone an allo-SCT between Feb 1997 and April 2013. Pertinent information on clinical features and outcomes were then retrospectively reviewed. IPSS-R was calculated at MDS diagnosis (dx) and then re calculated prior to transplant. Outcomes of pts who had improvement in IPSS-R were then compared to those with no improvement or worsened IPSS-R score. Overall survival (OS) and Event free survival (EFS) were estimated using the Kaplan-Meier method and a competing risk analysis was used to calculate relapse and non-relapse mortality (NRM). Univariate and multivariate analyses were conducted. Log-Rank test was used to determine the p value. Results: We identified 138 pts who have undergone allo-SCT with the following characteristics: median age at transplant was 49 years (yrs) (range 17-66); 76 (55%) were male; 121 pts (88%) underwent myeloablative (MA) conditioning, 68 (49%) related donor and 70 (51%) unrelated donors out of which 43 (61%) were matched and 27 (39%) were mismatched. The source of stem cells were: peripheral blood n=101 (73%), bone marrow n=35 (25%) and cord blood n=2 (1%). The median interval from dx to transplant was 128 days. The median follow up (FU) of live pts was 7.3 yrs (range 1.5-17.4). Acute graft vs. host disease (aGVHD) grade 2 or higher was present in 74 (54%), chronic graft vs. host disease (cGVHD) was present in 94 (68%). During the time of FU 83 (60%) of pts had died. Relapse occurred in 41 (30%). Causes of death were: relapse n=39; GVHD n=20; regimen related n=11; infection n=5 and other causes, n=9. Baseline characteristics of all pts are shown in table 1. In 12 (9%) pts, the IPSS-R could not be calculated either because cytogenetics failed or bone marrow biopsy pre transplant was not done. At the time of transplant 85 (62%) pts had blasts <5%, 38 (28%) had 5-20% and 10 (7%) had blasts >20% and blasts count was unknown in 5 pts. IPSS-R improved in 62 (45%), worsened in 23 (17%), no change 41 (30%) and unknown in 12 (9%). Type of treatment was chemotherapy in 55 (40%), best supportive care in 80 (58%) and immunosuppressive therapy (IST) in 3 (2%). The OS and EFS for all pts were 34% and 33%, respectively. There was no difference in outcome between pts who have undergone MA vs non-MA, OS 34% and 39% (p=0.63) and EFS 34% and 32% (p=0.86), respectively. OS was not statistically different between pts with improved IPSS-R vs worsened vs unchanged, 30% vs 22% vs 40%, p= 0.63 (see figure 1). EFS was 30% vs 21% vs 40%, p=0.53, respectively. Relapse was 36% vs 53% vs 31%, p=0.35 and non-relapse mortality was 54% vs 57% vs 42%, p=0.75, respectively. There was no difference in OS and EFS between pts treated with chemotherapy vs supportive care with OS of 40% vs 41%, p=0.63 and EFS of 33% vs 32%, p=0.46, respectively. OS and EFS for grade 2 or higher aGVHD were 34% vs 32%, p=0.13 and 32% vs 32%, p=0.22, respectively. Figure 2 shows OS for Pts with blast <5% vs 5-20% vs >20% at transplant. Relapse of pts with blasts <5 vs 5-20 vs >20 at the time of transplant was 23% vs 69% vs 66%, p=0.0004, respectively. On multivariate analysis, only three factors were associated with worse OS and EFS which were: cytogenetics at dx, blast count at transplant and absence of cGVHD. Conclusion: Improving IPSS-R before allogeneic transplant does not translate into better clinical outcome. The IPSS-R cytogenetic risk group at the time of diagnosis and blast count at transplant are highly predictive of post-transplant outcomes. Patient characteristics Patient characteristics Disclosures Gerrie: Roche Canada: Research Funding. Toze:Roche Canada: Research Funding. Song:Janssen: Honoraria; Otsuka: Honoraria; Celgene: Honoraria, Research Funding. Song:Janssen: Honoraria; Otsuka: Honoraria; Celgene: Honoraria, Research Funding. Nevill:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

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HSCs Fated to Progress to Blast Phase Can be Detected in Myelofibrosis Patients Several Years Prior to Leukemic Transformation

Blood ◽

10.1182/blood-2019-130923 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 1676-1676

Author(s):

Jenny M. Ho ◽

Jessie J.F. Medeiros ◽

Michelle Chan-Seng-Yue ◽

Lauren Hummel ◽

Andrea Arruda ◽

...

Keyword(s):

Board Of Directors ◽

Myeloid Leukemia ◽

Research Funding ◽

Somatic Mutations ◽

Low Frequency ◽

Gene Mutations ◽

Cell Populations ◽

Blast Transformation ◽

Leukemic Transformation ◽

Advisory Committees

In myeloproliferative neoplasms (MPN), somatic mutations in genes recurrently mutated in myeloid leukemia, apart from known MPN driver mutations (JAK2, MPL, CALR), are common and can increase the risk of transformation to acute leukemia, also called blast phase (BP). However, when mutations in these genes are acquired, the nature of the cells bearing these mutations, and how each mutation cooperates to promote blast transformation remains largely unknown. We therefore examined serially collected blood and bone marrow samples from patients with myelofibrosis (MF) who progressed to BP to further elucidate the genetic basis of blast transformation. The aims of our study were to determine the temporal acquisition of mutations during chronic phase (CP) that contribute to blast transformation and to define the cellular origins within the hematopoietic hierarchy of the clone fated to progress to BP (termed BP-fated clone). Our cohort included 9 MF patients (8 JAK2V617Fpositiveand 1 MPLW515Lpositive) who progressed to BP and for whom CP and BP samples were previously collected and banked. The time interval between CP and BP collections ranged between 1.5 to 6.6 years. In 4 patients, additional CP samples were available from intervening time points. Whole genome sequencing (WGS) of leukemic blasts (BP sample), the MPN clone (CP sample), and germline control (T-cells or buccal DNA) was performed to identify somatic mutations. We detected somatic mutations at BP in 19 genes recurrently mutated in myeloid leukemia (ML) with an average of 5.3 (range 2-8) genes mutated per patient. Genes that were mutated in 2 or more BP samples include SRSF2 (n=5), ASXL1 (n=4), TET2 (n=4), IDH1/2 (n=4), RUNX1 (n=4), NRAS (n=4), KRAS (n=2), U2AF1 (n=2), PHF6 (n=2), and STAG2 (n=2). Notably, 73% of ML gene mutations identified at BP were already acquired and present at ≥5% variant allele frequency in CP. The remaining (27%) ML gene mutations were not detected at CP and were, thus, termed BP-specific mutations. To achieve our study aims, we sorted hematopoietic stem and progenitor cell (HSPC) populations (HSC, MPP, LMPP, CMP, MEP, GMP), as well as, mature cell populations (myeloid, erythroid, T-cell, B-cell and NK) from CP samples and performed DNA whole genome amplification. We then interrogated sorted cell populations for BP-specific mutations by droplet digital PCR (ddPCR) to identify low frequency mutations. Our results revealed that BP-specific ML gene mutations could be detected at low frequencies (range between 0.2-5%) in one or more cell populations several years (1.5-3 years) prior to BP diagnosis. Importantly, we detected these low frequency mutations within the HSC population from several patients, indicating that BP-fated clones were derived from an HSC. This finding is being verified in all patients by targeted sequencing of additional BP-specific mutations that were identified by WGS (average of 300 variants per patient, range 37 to 659). In one patient analyzed to date, additional low frequency BP-specific mutations have been detected within the HSC population, and thereby confirm the BP cell of origin as an HSC in this individual. Generalization of this finding will be confirmed by targeted sequencing of sorted populations from the remaining patients. In summary, BP-fated clones often appear several years prior to blast transformation and can be traced back to HSCs. Identification of BP-fated clones that remain dormant strongly suggests that mechanisms beyond the acquisition of somatic mutations in ML genes (including but not limited to epigenetic alterations, acquisition of non-coding mutations, inflammation) are necessary to effectively promote full leukemic transformation. Disclosures McNamara: Novartis Pharmaceutical Canada Inc.: Consultancy. Maze:Pfizer Inc: Consultancy; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees. Tsui:Novartis: Consultancy, Honoraria. Minden:Trillium Therapetuics: Other: licensing agreement. Gupta:Incyte: Honoraria, Research Funding; Sierra Oncology: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Incyte: Honoraria, Research Funding; Sierra Oncology: Honoraria, Membership on an entity's Board of Directors or advisory committees.

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