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

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 28-28
Author(s):  
Hassan Awada ◽  
Arda Durmaz ◽  
Carmel Gurnari ◽  
Ashwin Kishtagari ◽  
Manja Meggendorfer ◽  
...  

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.

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 665-665 ◽  
Author(s):  
Chetasi Talati ◽  
Aaron D Goldberg ◽  
Amanda Przespolewski ◽  
Onyee Chan ◽  
Najla Al Ali ◽  
...  

Abstract Background Outcomes in patients (pts) with secondary acute myeloid leukemia (sAML) (therapy related myeloid neoplasms and AML with myelodysplasia related changes (MRC) per WHO 2016 classification (Arber et al, Blood 2016)) are poor. Pts treated with hypomethylating agents (HMAs) have suboptimal responses to induction chemotherapy (IC) upon transformation to AML. Previously, it was retrospectively demonstrated that the IC with cladribine, cytarabine, filgrastim, and mitoxantrone (CLAG-M) yields significantly higher response rates (64%) than 7+3 (cytarabine and anthracycline) (29%) in pts with prior HMA exposure (Jaglal et al, Leukemia Research 2014). Following the recent approval of CPX-351 for induction in sAML subgroup, we investigated outcomes after CPX-351 to cladribine based regimens and 7+3 in pts with sAML with prior HMA exposure. Methods We identified pts with sAML who had prior HMA treatment for an antecedent hematologic malignancy (AHM) and later received induction chemotherapy upon AML transformation from Moffitt Cancer Center (MCC) (n=229), Memorial Sloan Kettering Cancer Center (n=11) and Roswell Park Comprehensive Cancer Center (n=2). Patients were divided into 3 cohorts based on induction regimen: (A) cladribine based (CLA+/-G+/-M) (B) standard 7+3 and (C) CPX-351. Demographics, disease-specific variables, and outcomes were collected in accordance with the institutional review board approved protocol. Responders (R) were defined as pts achieving CR or CRi as defined by the 2003 International Working Group (IWG) criteria after 1 or 2 cycles of the either induction regimen whereas non-responders (NR) were defined as responses other than CR/CRi. Pts receiving a second induction with a different regimen were considered NR. Fisher's exact test and the ANOVA test were used to determine significance for continuous and categorical variables. Kaplan-Meier analysis with log-rank test was performed to estimate overall survival (OS). Results Among 242 pts who received IC for AML after HMA failure for prior AHM, 114 were treated with (A) cladribine based regimen (B) 94 pts with standard 3+7 and (C) 34 pts with CPX-351 (Cohort C). Baseline characteristics for all 3 cohorts are outlined in Table 1A. Median age for cohort A, B, and C were 65 (33-82), 66 (26-81), and 69 (36-82), respectively. Males comprised of 68.4%, 63% and 52.9% of the cohorts A, B and C, respectively. No pts had favorable-risk karyotype as defined by European LeukemiaNet (ELN) 2017 criteria. Adverse risk karyotype was noted in 42.1% of cohort A, 34.6% of cohort B and 22.7% of cohort C (p=.337). The majority of pts received azacitidine as their HMA for their AHM (88.7%, 84.9% and 82.4% in cohorts A, B, C, respectively) and median number of cycles administered prior to transformation to AML were 6, 4 and 5 for cohorts A, B, and C, respectively. Response rates in each cohort are summarized in Table 1B. The CR/CRi rate was 53% in cohort A, 32% in cohort B and 41.1% in cohort C (p=.005 between cohort A and B) (p=.329 between cohorts A and C) (p=.526 between cohorts B and C). The early death rates (<60 days of induction) were not significantly different among the 3 cohorts, at 12%, 8% and 2.9% in cohorts A, B and C respectively (p=.200). In pts who received ≤ 4 cycles of HMAs prior to AML transformation, response rates to CPX-351 were higher (64.3%) than in pts who received >4 cycles of HMAs (25.0%) (p=.0397). Cohort A (56.5% vs. 50.0%, p=.288) and B (39.1% vs. 25.5%, p=.175) did not demonstrate such a difference (Table 1C and 1D). There was a trend towards better OS (19.9 vs. 5.5mo) with CPX-351 treated pts with ≤ 4 cycles of HMAs compared to >4 cycles (p=.092) (Figure 1). To date, 70.0% of responding pts in cohort A have undergone an allogeneic stem cell transplant compared to 31.0% in cohort B and 28.6% in cohort C (p=.15). There was no significant difference in median OS among the 3 groups, cohort A (7.27 months), cohort B (7.63 months) and cohort C (7.07 months) (p=.887). Among responders, the mOS did not differ (12.93, 21.7, and 19.9 months for cohorts A, B, and C respectively, p=.635). Conclusions We demonstrate that cladribine-based induction regimens and CPX-351 yield higher CR/CRi rates compared to 7+3 in pts with sAML after HMA failure. Prolonged duration of HMA exposure may lower response potential with CPX-351 upon AML transformation. Median OS remains poor and did not differ among the 3 groups illustrating the unmet need for therapy for sAML pts after HMA failure. Disclosures Goldberg: AROG: Research Funding; Abbvie: Research Funding; Celgene: Research Funding; Pfizer: Research Funding. Sallman:Celgene: Research Funding, Speakers Bureau. List:Celgene: Research Funding. Wang:Amgen: Consultancy; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Jazz: Speakers Bureau; Jazz: Speakers Bureau; Amgen: Consultancy; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Speakers Bureau; Novartis: Speakers Bureau. Tallman:AROG: Research Funding; Cellerant: Research Funding; AbbVie: Research Funding; ADC Therapeutics: Research Funding; Orsenix: Other: Advisory board; Daiichi-Sankyo: Other: Advisory board; BioSight: Other: Advisory board. Komrokji:Novartis: Honoraria, Speakers Bureau; Celgene: Honoraria, Research Funding; Novartis: Honoraria, Speakers Bureau; Celgene: Honoraria, Research Funding; Novartis: Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau. Sweet:Celgene: Honoraria, Speakers Bureau; Jazz: Speakers Bureau; Agios: Consultancy; Astellas: Consultancy; Phizer: Consultancy; Novartis: Consultancy, Honoraria, Speakers Bureau; Phizer: Consultancy; Novartis: Consultancy, Honoraria, Speakers Bureau; Astellas: Consultancy; Jazz: Speakers Bureau; BMS: Honoraria; Agios: Consultancy; Celgene: Honoraria, Speakers Bureau; BMS: Honoraria.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3374-3374
Author(s):  
Claudia Lucia Sossa ◽  
Virginia Abello ◽  
Angela María Peña ◽  
Luis Antonio Salazar ◽  
Guillermo Quintero Vega ◽  
...  

Abstract Introduction: Acute myeloid leukemia (AML) is the most common type of acute leukemia in adults, accounting for almost 80 percent of the cases. Incidence of AML increases with age and it ranges from 3 to 5 cases per 100,000 persons in the United States. Advances in treatment have led to significant improvements in outcomes for younger patients, while prognosis in the elderly remains poor. There are different sociodemographic and clinical factors that have an impact on survival such as type of leukemia (secondary vs novo), low socioeconomic status, age, gender, health regimen, co-morbidities and performance status Objective: The aim of the study was to describe the impact of sociodemographic and clinical factors on survival of patients with AML in 11 health institutions from Colombia, from 2009 to June 2021. Methods: Population based on RENEHOC (online platform) and PETHEMA (Spanish Program for Hematology Treatments). Kaplan-Meier analysis was used to assess overall survival (OS) and Relapse-Free Survival global (RFS) of the different evaluated factors. Results: A total of 463 patients were included. The median age at diagnosis was 61 years (range, 19-90) and 50.5% were female. According to the FAB classification, 95 (26.6%), 84 (23.6%), and 53 (14.9%) of patients were classified as M2, M0 and M1, respectively. The cytogenetic risk was applied for 227 patients (57%), 135 (59.5%) were intermediate and 78 (34.4%) were high-risk. Secondary AML were 73 (18.2%) and these cases evolved from hematological malignancies in 38 cases (80.8%), the most common were myelodysplastic syndrome (n=16; 34%) and chronic myeloid leukemia (n=7; 50%). For induction therapy, 232 (59.7%) patients received 7+3 (cytarabine/idarubicin), 47 (11.7%) received Azacitidine (AZA) and 23 (5.7%) received FLUGA (Fludarabine/cytarabine low doses). Complete remission (CR) after induction was achieved in 53% of patients, 12% had partial remission, 20.3% had primary refractory AML. Twelve percent died during induction. The most common consolidation regimen was high dose cytarabine (HiDAC), 143 (35,6%) and 36 (9%) of patients received 1 and 2 cycles respectively. Seventy-two (51%) patients that achieved a CR relapsed, and 46 (69.7%) received second line therapy. The most common treatment was FLAG-IDA (27%), followed by best supportive care (23.8%). The response rate was 40% (CR:31.1%/PR:8.9%) with 16 (36.6%) patients being refractory to treatment. Five (11.1%) died during salvage therapy. Thirty-eight (21%) patients had a hematopoietic stem cell transplantation (HCT), 35 (92%) had allogeneic HCT and 3 (8%) autologous HCT, respectively. The median and 5-year OS for the whole population was 19 months and 27.6% (95%CI,19.7- 36.0). The median and 5-year RFS was 14 months and 21.8% (95%CI, 15.2 - 29.2), respectively (Figure 1). Sociodemographic and clinical factors such as age, ECOG PS, co-morbidies (Hypertension, diabetes, and chronic heart failure), AML subtype and leukocytosis at diagnosis were prognostic (Table 1). Conclusion: This is the first multicenter report analyzing real world data from AML patients in Colombia. Results confirm the impact of clinical factors: age, ECOG, secondary LMA on OS and RFS. Challenges includes low alloHSCT rate and low access to complete cytogenetic and molecular classification at diagnosis. Figure 1 Figure 1. Disclosures Sossa: Amgen: Research Funding. Abello: Dr Reddy's: Research Funding; Janssen: Honoraria; Amgen: Honoraria. Peña: Amgen: Research Funding. Salazar: Amgen: Research Funding. Sandoval-Sus: SeaGen, Janssen, MassiveBio, TG: Other: Advisory Board; BMS: Other: Advisory Board, Speakers Bureau. Montesinos: Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Agios: Consultancy; Tolero Pharmaceutical: Consultancy; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Glycomimetics: Consultancy; Astellas Pharma, Inc.: Consultancy, Honoraria, Other: Advisory board, Research Funding, Speakers Bureau; Forma Therapeutics: Consultancy; Daiichi Sankyo: 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; Karyopharm: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: 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; Sanofi: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Teva: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Stemline/Menarini: Consultancy.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3433-3433
Author(s):  
Caitlin Siebenaller ◽  
Madeline Waldron ◽  
Kelly Gaffney ◽  
Brian P. Hobbs ◽  
Ran Zhao ◽  
...  

Background: Younger patients (pts) with acute myeloid leukemia (AML) who enter a remission after intensive induction chemotherapy routinely receive at least one cycle of consolidation therapy with high dose cytarabine (HiDAC). This is commonly administered over a five-day inpatient stay, after which pts are discharged home as their blood counts nadir. It is thus a natural consequence of therapy that readmission for febrile neutropenia (FN) occurs, which can impact measures of quality and value in this population. Precise descriptions of incidence, type, and severity of infection, if identified, are lacking, and thus it is unknown to what standard cancer centers should be held for anticipated readmission. We measured these rates, and attempted to identify predictive factors for readmission. Methods: Adult AML pts ≥ 18 years of age who received at least one cycle of HiDAC consolidation (1000-3000 mg/m2 for six doses) in 2009-2019 were included. Our primary aim was to identify predictive factors for readmission after the first cycle of consolidation chemotherapy. The following pt characteristics and co-morbid conditions were analyzed: age, gender, body mass index (BMI), smoking status, AML cytogenetic risk status, history of diabetes, peripheral vascular disease, cardiovascular disease, chronic pulmonary disease, hepatic impairment, and other cancers. Secondary aims included: estimating rates of all-cause readmissions among all HiDAC cycles, defining the rate of FN readmissions, estimating rates of intensive care unit (ICU) admissions, clinical (e.g., probable pneumonia per imaging) and microbiologically-documented infections, prophylactic (ppx) medications used, and mortality. Statistical analyses interrogated potential risk factors for evidence of association with hospital readmission after the first cycle of consolidation chemotherapy. Results: We identified 182 AML pts who fit inclusion criteria. The median age was 50 years (range 19-73); 55% were female and 45% were male. Statistical analyses revealed no association with readmission after cycle 1 for cytogenetic risk (p=0.85), history of heart failure (p= 0.67), chronic pulmonary disease (p=1), connective tissue disease (p=0.53), cerebrovascular accident (p=0.63), diabetes (p=0.63), gender (p=0.07), history of lymphoma (p=0.53), other solid tumors (p=0.53), liver disease (p=1), myocardial infarction (p=0.71), peripheral vascular disease (p=1), or smoking status (p= 0.52). For 480 HiDAC cycles analyzed (88% at 3000 mg/m2), the overall readmission rate was 50% (242/480), of which 85% (205/242) were for FN. Those readmissions which were not FN were for cardiac complications (chest pain, EKG changes), non-neutropenic fevers or infections, neurotoxicity, bleeding or clotting events, or other symptoms associated with chemotherapy (nausea/vomiting, pain, etc.). Median time to FN hospital admission was 18 days (range 6-27) from the start of HiDAC. Of the 205 FN readmissions, 57% had documented infections. Of these infections, 41% were bacteremia, 23% fungal, 16% sepsis, 12% other bacterial, and 8% viral. Of 480 HiDAC cycles, ppx medications prescribed included: 92% fluoroquinolone (442/480), 81% anti-viral (389/480), 30 % anti-fungal (142/480), and 3% colony stimulating factor (14/480). Only 7% (14/205) of FN readmissions resulted in an ICU admission, and 1% (3/205) resulted in death. Conclusions: Approximately half of patients treated with consolidation therapy following intensive induction therapy can be expected to be readmitted to the hospital. The majority of FN readmissions were associated with clinical or microbiologically documented infections and are not avoidable, however ICU admission and death associated with these complications are rare. Readmission of AML pts following HiDAC is expected, and therefore, should be excluded from measures of value and quality. Disclosures Waldron: Amgen: Consultancy. Hobbs:Amgen: Research Funding; SimulStat Inc.: Consultancy. Advani:Macrogenics: Research Funding; Abbvie: Research Funding; Kite Pharmaceuticals: Consultancy; Pfizer: Honoraria, Research Funding; Amgen: Research Funding; Glycomimetics: Consultancy, Research Funding. Nazha:Incyte: Speakers Bureau; Abbvie: Consultancy; Daiichi Sankyo: Consultancy; Jazz Pharmacutical: Research Funding; Novartis: Speakers Bureau; MEI: Other: Data monitoring Committee; Tolero, Karyopharma: Honoraria. Gerds:Imago Biosciences: Research Funding; Roche: Research Funding; Celgene Corporation: Consultancy, Research Funding; Pfizer: Consultancy; CTI Biopharma: Consultancy, Research Funding; Incyte: Consultancy, Research Funding; Sierra Oncology: Research Funding. Sekeres:Syros: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Millenium: Membership on an entity's Board of Directors or advisory committees. Mukherjee:Partnership for Health Analytic Research, LLC (PHAR, LLC): Consultancy; McGraw Hill Hematology Oncology Board Review: Other: Editor; Projects in Knowledge: Honoraria; Celgene Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol-Myers Squibb: Speakers Bureau; Takeda: Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 2075-2075
Author(s):  
Sagar S. Patel ◽  
Betty K. Hamilton ◽  
Lisa Rybicki ◽  
Dawn Thomas ◽  
Arden Emrick ◽  
...  

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.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 7-8
Author(s):  
Philip C. Amrein ◽  
Eyal C. Attar ◽  
Geoffrey Fell ◽  
Traci M. Blonquist ◽  
Andrew M. Brunner ◽  
...  

Introduction: Outcomes for acute myeloid leukemia (AML) among older patients has remained largely unchanged for decades. Long-term survival for patients aged &gt;60 years is poor (median survival 10.5 months). Targeting the proteasome in AML is attractive, since leukemia stem cells have demonstrated sensitivity to proteasome inhibition in preclinical models, perhaps through down regulation of nuclear NF-KB (Guzman, Blood 2001). AML cell lines are susceptible to synergistic cytotoxicity when bortezomib, a proteasome inhibitor, is combined with daunorubicin and cytarabine. We have shown that adding bortezomib to standard treatment in AML results in a high remission rate, although grade 2 sensory neurotoxicity was noted in approximately 12% of treated patients. A newer generation proteasome inhibitor, ixazomib, is less frequently associated with neurotoxicity, and, therefore, was selected for combination with conventional chemotherapy in this phase I trial. The primary objective of this study was to determine the maximum tolerated dose (MTD) of ixazomib in combination with conventional induction and consolidation chemotherapy for AML. Herein are the initial results of this trial. Methods: Adults &gt;60 years of age with newly diagnosed AML were screened for eligibility. Patients with secondary AML were eligible, including those with prior hypomethylating agent therapy for myelodysplastic syndromes (MDS). We excluded those with promyelocytic leukemia. There were 2 phases in this study. In the first phase (A), the induction treatment consisted of the following: cytarabine 100 mg/m2/day by continuous IV infusion, Days 1-7; daunorubicin 60 mg/m2/day IV, Days 1, 2, 3, and ixazomib was provided orally at the cohort dose, Days 2, 5, 9, and 12. Consolidaton or transplant was at the discretion of the treating physician in phase A. In the second phase (B), induction was the same as that with the determined MTD of ixazomib. All patients were to be treated with the following consolidation: cytarabine at 2 g/m2/day, days 1-5 with ixazomib on days 2, 5, 9, and 12 at the cohort dose for consolidation. A standard 3 + 3 patient cohort dose escalation design was used to determine whether the dose of ixazomib could be safely escalated in 3 cohorts (1.5 mg/day, 2.3 mg/day, 3.0 mg/day), initially in induction (phase A) and subsequently in consolidation (phase B). The determined MTD of ixazomib in the first portion (A) of the trial was used during induction in the second portion (B), which sought to determine the MTD for ixazomib during consolidation. Secondary objectives included rate of complete remission, disease-free survival, and overall survival (OS). Results: Thirty-six patients have been enrolled on study, and 28 have completed dose levels A-1 through A-3 and B1 through B-2. Full information on cohort B-3 has not yet been obtained, hence, this report covers the experience with the initial 28 patients, cohorts A-1 through B-2. There were 12 (43%) patients among the 28 with secondary AML, either with prior hematologic malignancy or therapy-related AML. Nineteen patients (68%) were male, and the median age was 68 years (range 61-80 years). There have been no grade 5 toxicities due to study drug. Three patients died early due to leukemia, 2 of which were replaced for assessment of the MTD. Nearly all the grade 3 and 4 toxicities were hematologic (Table). There was 1 DLT (grade 4 platelet count decrease extending beyond Day 42). There has been no grade 3 or 4 neurotoxicity with ixazomib to date. Among the 28 patients in the first 5 cohorts, 22 achieved complete remissions (CR) and 2 achieved CRi, for a composite remission rate (CCR) of 86%. Among the 12 patients with secondary AML 8 achieved CR and 2 achieved CRi, for a CCR of 83%. The median OS for the 28 patients has not been reached (graph). The 18-month OS estimate was 65% [90% CI, 50-85%]. Conclusions: The highest dose level (3 mg) of ixazomib planned for induction in this trial has been reached safely. For consolidation there have been no serious safety issues in the first 2 cohorts with a dose up to 2.3 mg, apart from 1 DLT in the form of delayed platelet count recovery. The recommended phase 2 dose of ixazomib for induction is 3 mg. Accrual to cohort B-3 is ongoing. Notably, to date, no grade 3 or 4 neurotoxicity has been encountered. The remission rate in this older adult population with the addition of ixazomib to standard chemotherapy appears favorable. Figure Disclosures Amrein: Amgen: Research Funding; AstraZeneca: Consultancy, Research Funding; Takeda: Research Funding. Attar:Aprea Therapeutics: Current Employment. Brunner:Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Forty-Seven Inc: Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Research Funding; Takeda: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding. Hobbs:Constellation: Honoraria, Research Funding; Novartis: Honoraria; Incyte: Research Funding; Merck: Research Funding; Bayer: Research Funding; Jazz: Honoraria; Celgene/BMS: Honoraria. Neuberg:Celgene: Research Funding; Madrigak Pharmaceuticals: Current equity holder in publicly-traded company; Pharmacyclics: Research Funding. Fathi:Blueprint: Consultancy; Boston Biomedical: Consultancy; BMS/Celgene: Consultancy, Research Funding; Novartis: Consultancy; Kura Oncology: Consultancy; Trillium: Consultancy; Amgen: Consultancy; Seattle Genetics: Consultancy, Research Funding; Abbvie: Consultancy; Pfizer: Consultancy; Newlink Genetics: Consultancy; Forty Seven: Consultancy; Trovagene: Consultancy; Kite: Consultancy; Daiichi Sankyo: Consultancy; Astellas: Consultancy; Amphivena: Consultancy; PTC Therapeutics: Consultancy; Agios: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Jazz: Consultancy. OffLabel Disclosure: Ixazomib is FDA approved for multiple myeloma. We are using it in this trial for acute myeloid leukemia.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 523-523
Author(s):  
Rasoul Pourebrahimabadi ◽  
Zoe Alaniz ◽  
Lauren B Ostermann ◽  
Hung Alex Luong ◽  
Rafael Heinz Montoya ◽  
...  

Acute myeloid leukemia (AML) is a heterogeneous disease that develops within a complex microenvironment. Reciprocal interactions between the bone marrow mesenchymal stem/stromal cells (BM-MSCs) and AML cells can promote AML progression and resistance to chemotherapy (Jacamo et al., 2014). We have recently reported that BM-MSCs derived from AML patients (n=103) highly express p53 and p21 compared to their normal counterparts (n=73 p&lt;0.0001) (Hematologica, 2018). To assess the function of p53 in BM-MSCs, we generated traceable lineage specific mouse models targeting Mdm2 or Trp53 alleles in MSCs (Osx-Cre;mTmG;p53fl/fl and Osx-Cre;mTmG;Mdm2fl/+) or hematopoietic cells (Vav-Cre;mTmG;p53fl/fl and Vav-Cre;mTmG;Mdm2fl/+). Homozygote deletion of Mdm2 (Osx-Cre;Mdm2fl/fl) resulted in death at birth and displayed skeletal defects as well as lack of intramedullary hematopoiesis. Heterozygote deletion of Mdm2 in MSCs was dispensable for normal hematopoiesis in adult mice, however, resulted in bone marrow failure and thrombocytopenia after irradiation. Homozygote deletion of Mdm2 in hematopoietic cells (Vav-Cre;Mdm2fl/fl) was embryonically lethal but the heterozygotes were radiosensitive. We next sought to examine if p53 levels in BM-MSCs change after cellular stress imposed by AML. We generated a traceable syngeneic AML model using AML-ETO leukemia cells transplanted into Osx-Cre;mTmG mice. We found that p53 was highly induced in BM-MSCs of AML mice, further confirming our findings in primary patient samples. The population of BM-MSCs was significantly increased in bone marrow Osx-Cre;mTmG transplanted with syngeneic AML cells. Tunnel staining of bone marrow samples in this traceable syngeneic AML model showed a block in apoptosis of BM-MSCs suggesting that the expansion of BM-MSCs in AML is partly due to inhibition of apoptosis. As the leukemia progressed the number of Td-Tomato positive cells which represents hematopoietic lineage and endothelial cells were significantly decreased indicating failure of normal hematopoiesis induced by leukemia. SA-β-gal activity was significantly induced in osteoblasts derived from leukemia mice in comparison to normal mice further supporting our observation in human leukemia samples that AML induces senescence of BM-MSCs. To examine the effect of p53 on the senescence associated secretory profile (SASP) of BM-MSCs, we measured fifteen SASP cytokines by qPCR and found significant decrease in Ccl4, Cxcl12, S100a8, Il6 and Il1b upon p53 deletion in BM-MSCs (Osx-Cre;mTmG;p53fl/fl) compared to p53 wildtype mice. To functionally evaluate the effects of p53 in BM-MSCs on AML, we deleted p53 in BM-MSCs (Osx-Cre;mTmG;p53fl/fl) and transplanted them with syngeneic AML-ETO-Turquoise AML cells. Deletion of p53 in BM-MSCs strongly inhibited the expansion of BM-MSCs in AML and resulted in osteoblast differentiation. This suggests that expansion of BM-MSCs in AML is dependent on p53 and that deletion of p53 results in osteoblast differentiation of BM-MSCs. Importantly, deletion of p53 in BM-MSCs significantly increased the survival of AML mice. We further evaluated the effect of a Mdm2 inhibitor, DS-5272, on BM-MSCs in our traceable mouse models. DS-5272 treatment of Osx-cre;Mdm2fl/+ mice resulted in complete loss of normal hematopoietic cells indicating a non-cell autonomous regulation of apoptosis of hematopoietic cells mediated by p53 in BM-MSCs. Loss of p53 in BM-MSCs (Osx-Cre;p53fl/fl) completely rescued hematopoietic failure following Mdm2 inhibitor treatment. In conclusion, we identified p53 activation as a novel mechanism by which BM-MSCs regulate proliferation and apoptosis of hematopoietic cells. This knowledge highlights a new mechanism of hematopoietic failure after AML therapy and informs new therapeutic strategies to eliminate AML. Disclosures Khoury: Angle: Research Funding; Stemline Therapeutics: Research Funding; Kiromic: Research Funding. Bueso-Ramos:Incyte: Consultancy. Andreeff:BiolineRx: Membership on an entity's Board of Directors or advisory committees; CLL Foundation: Membership on an entity's Board of Directors or advisory committees; NCI-RDCRN (Rare Disease Cliln Network): Membership on an entity's Board of Directors or advisory committees; Leukemia Lymphoma Society: Membership on an entity's Board of Directors or advisory committees; German Research Council: Membership on an entity's Board of Directors or advisory committees; NCI-CTEP: Membership on an entity's Board of Directors or advisory committees; Cancer UK: Membership on an entity's Board of Directors or advisory committees; Center for Drug Research & Development: Membership on an entity's Board of Directors or advisory committees; NIH/NCI: Research Funding; CPRIT: Research Funding; Breast Cancer Research Foundation: Research Funding; Oncolyze: Equity Ownership; Oncoceutics: Equity Ownership; Senti Bio: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Eutropics: Equity Ownership; Aptose: Equity Ownership; Reata: Equity Ownership; 6 Dimensions Capital: Consultancy; AstaZeneca: Consultancy; Amgen: Consultancy; Daiichi Sankyo, Inc.: Consultancy, Patents & Royalties: Patents licensed, royalty bearing, Research Funding; Jazz Pharmaceuticals: Consultancy; Celgene: Consultancy. OffLabel Disclosure: Mdm2 inhibitor-DS 5272


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1528-1528
Author(s):  
Sebastian Stasik ◽  
Jan Moritz Middeke ◽  
Michael Kramer ◽  
Christoph Rollig ◽  
Alwin Krämer ◽  
...  

Abstract Purpose: The enhancer of zeste homolog 2 (EZH2) is a histone methyltransferase and key epigenetic regulator involved in transcriptional repression and embryonic development. Loss of EZH2 activity by inactivating mutations is associated with poor prognosis in myeloid malignancies such as MDS. More recently, EZH2 inactivation was shown to induce chemoresistance in acute myeloid leukemia (AML) (Göllner et al., 2017). Data on the frequency and prognostic role of EZH2-mutations in AML are rare and mostly confined to smaller cohorts. To investigate the prevalence and prognostic impact of this alteration in more detail, we analyzed a large cohort of AML patients (n = 1604) for EZH2 mutations. Patients and Methods: All patients analyzed had newly diagnosed AML, were registered in clinical protocols of the Study Alliance Leukemia (SAL) (AML96, AML2003 or AML60+, SORAML) and had available material at diagnosis. Screening for EZH2 mutations and associated alterations was done using Next-Generation Sequencing (NGS) (TruSight Myeloid Sequencing Panel, Illumina) on an Illumina MiSeq-system using bone marrow or peripheral blood. Detection was conducted with a defined cut-off of 5% variant allele frequency (VAF). All samples below the predefined threshold were classified as EZH2 wild type (wt). Patient clinical characteristics and co-mutations were analyzed according to the mutational status. Furthermore, multivariate analysis was used to identify the impact of EZH2 mutations on outcome. Results: EZH2-mutations were found in 63 of 1604 (4%) patients, with a median VAF of 44% (range 6-97%; median coverage 3077x). Mutations were detected within several exons (2-6; 8-12; 14-20) with highest frequencies in exons 17 and 18 (29%). The majority of detected mutations (71% missense and 29% nonsense/frameshift) were single nucleotide variants (SNVs) (87%), followed by small indel mutations. Descriptive statistics of clinical parameters and associated co-mutations revealed significant differences between EZH2-mut and -wt patients. At diagnosis, patients with EZH2 mutations were significantly older (median age 59 yrs) than EZH2-wt patients (median 56 yrs; p=0.044). In addition, significantly fewer EZH2-mut patients (71%) were diagnosed with de novo AML compared to EZH2-wt patients (84%; p=0.036). Accordingly, EZH2-mut patients had a higher rate of secondary acute myeloid leukemia (sAML) (21%), evolving from prior MDS or after prior chemotherapy (tAML) (8%; p=0.036). Also, bone marrow (and blood) blast counts differed between the two groups (EZH2-mut patients had significantly lower BM and PB blast counts; p=0.013). In contrast, no differences were observed for WBC counts, karyotype, ECOG performance status and ELN-2017 risk category compared to EZH2-wt patients. Based on cytogenetics according to the 2017 ELN criteria, 35% of EZH2-mut patients were categorized with favorable risk, 28% had intermediate and 37% adverse risk. No association was seen with -7/7q-. In the group of EZH2-mut AML patients, significantly higher rates of co-mutations were detected in RUNX1 (25%), ASXL1 (22%) and NRAS (25%) compared to EZH2-wt patients (with 10%; 8% and 15%, respectively). Vice versa, concomitant mutations in NPM1 were (non-significantly) more common in EZH2-wt patients (33%) vs EZH2-mut patients (21%). For other frequently mutated genes in AML there was no major difference between EZH2-mut and -wt patients, e.g. FLT3ITD (13%), FLT3TKD (10%) and CEBPA (24%), as well as genes encoding epigenetic modifiers, namely, DNMT3A (21%), IDH1/2 (11/14%), and TET2 (21%). The correlation of EZH2 mutational status with clinical outcomes showed no effect of EZH2 mutations on the rate of complete remission (CR), relapse free survival (RFS) and overall survival (OS) (with a median OS of 18.4 and 17.1 months for EZH2-mut and -wt patients, respectively) in the univariate analyses. Likewise, the multivariate analysis with clinical variable such as age, cytogenetics and WBC using Cox proportional hazard regression, revealed that EZH2 mutations were not an independent risk factor for OS or RFS. Conclusion EZH mutations are recurrent alterations in patients with AML. The association with certain clinical factors and typical mutations such as RUNX1 and ASXL1 points to the fact that these mutations are associated with secondary AML. Our data do not indicate that EZH2 mutations represent an independent prognostic factor. Disclosures Middeke: Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees. Rollig:Bayer: Research Funding; Janssen: Research Funding. Scholl:Jazz Pharma: Membership on an entity's Board of Directors or advisory committees; Abbivie: Other: Travel support; Alexion: Other: Travel support; MDS: Other: Travel support; Novartis: Other: Travel support; Deutsche Krebshilfe: Research Funding; Carreras Foundation: Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees. Hochhaus:Pfizer: Research Funding; Incyte: Research Funding; Novartis: Research Funding; Bristol-Myers Squibb: Research Funding; Takeda: Research Funding. Brümmendorf:Janssen: Consultancy; Takeda: Consultancy; Novartis: Consultancy, Research Funding; Merck: Consultancy; Pfizer: Consultancy, Research Funding. Burchert:AOP Orphan: Honoraria, Research Funding; Bayer: Research Funding; Pfizer: Honoraria; Bristol Myers Squibb: Honoraria, Research Funding; Novartis: Research Funding. Krause:Novartis: Research Funding. Hänel:Amgen: Honoraria; Roche: Honoraria; Takeda: Honoraria; Novartis: Honoraria. Platzbecker:Celgene: Research Funding. Mayer:Eisai: Research Funding; Novartis: Research Funding; Roche: Research Funding; Johnson & Johnson: Research Funding; Affimed: Research Funding. Serve:Bayer: Research Funding. Ehninger:Cellex Gesellschaft fuer Zellgewinnung mbH: Employment, Equity Ownership; Bayer: Research Funding; GEMoaB Monoclonals GmbH: Employment, Equity Ownership. Thiede:AgenDix: Other: Ownership; Novartis: Honoraria, Research Funding.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 338-338
Author(s):  
Bradstock Kenneth ◽  
Emma Link ◽  
Juliana Di Iulio ◽  
Jeff Szer ◽  
Paula Marlton ◽  
...  

Abstract Background: Anthracylines are one of the major classes of drugs active against acute myeloid leukemia (AML). Increased doses of daunorubicin during induction therapy for AML have been shown to improve remission rates and survival. The ALLG used idarubicin in induction therapy at a dose of 9 mg/m2 x 3 days (total dose 27 mg/m2) in combination with high-dose cytarabine and etoposide (Blood 2005, 105:481), but showed that a total idarubicin dose of 36 mg/m2 was too toxic in this context (Leukemia 2001, 15:1331). In order to further improve outcomes in adult AML by anthracycline dose escalation, we conducted a phase 3 trial comparing standard to an increased idarubicin dose during consolidation therapy. Methods: Patients achieving complete remission after 1 or 2 cycles of intensive induction therapy (idarubicin 9 mg/m2 daily x3, cytarabine 3 g/m2 twice daily on days 1,3,5 and 7, and etoposide 75 mg/m2 daily x7; ICE protocol) were randomized to receive 2 cycles of consolidation therapy with cytarabine 100 mg/m2 per day for 5 days, etoposide 75 mg/m2 for 5 days, and idarubicin 9mg/m2 daily for either 2 or 3 days (standard and intensive arms respectively). No further protocol therapy was given. The primary endpoint was leukemia-free survival from randomization to consolidation therapy (LFS) with overall survival (OS) as secondary endpoint. Results: A total of 422 patients with AML (excluding cases with CBF rearrangements or APL) aged 16 to 60 years were enrolled between 2003-10, with 345 (82%) achieving complete remission, and 293 being randomized to standard (n=146) or intensive (n=147) consolidation arms. The median age was 45 years in both arms (range 16- 60), and both groups were balanced for intermediate versus unfavorable karyotypes and for frequency of mutations involving FLT3-ITD and NPM1 genes. Of the randomized patients, 120 in the standard arm (82%) and 95 in the intensive arm (65%) received the second consolidation cycle (p<0.001). The median total dose of idarubicin received in the 2 consolidation courses was 36 mg/m2 (range 17-45), or 99% (47-125%) of the protocol dose in the standard arm, versus 53 mg/m2 (18-73), or 98% (33-136%) of the protocol dose in the intensive arm. The durations of grades 3-4 neutropenia and thrombocytopenia were significantly longer in the intensive arm, but there were no differences in grade 3 or 4 non-hematological toxicities. There were no non-relapse deaths during consolidation on the standard arm and 2 in the intensive (0% vs 1%; p =0.50). Subsequently, 41 patients in the standard arm and 37 in the intensive arm underwent elective allogeneic BMT during first remission. On intention to-treat analysis uncensored for transplant and with a median follow-up time of 5.3 years (range 0.6 - 9.9), there was improvement in LFS in the intensive arm compared with the standard arm (3 year LFS 47% (95% CI 40-56%) versus 35% (28-44%); HR 0.74 (95% CI 0.55-0.99); p=0.045) (Figure 1). The 3 year OS for the intensive arm was 61% (95% CI 54-70%) and 50% (95% CI 43-59%) for the standard arm; HR 0.75 (95% CI 0.54-1.05); p=0.092). Although adverse cytogenetics, presence of FLT3-ITD mutation, and absence of NPM1 mutation were all associated with poorer outcomes, there was no evidence of a benefit of intensive consolidation being confined to specific cytogenetic or gene mutation sub-groups. Conclusion: We conclude that in adult patients in complete remission after intensive induction chemotherapy an increased dose of idarubicin delivered during consolidation therapy results in improved LFS, without increased non-hematologic toxicity. Figure 1. Figure 1. Disclosures Szer: Ra Pharma: Honoraria, Membership on an entity's Board of Directors or advisory committees; Alexion Pharmaceuticals, Inc.: Honoraria, Membership on an entity's Board of Directors or advisory committees; Alnylam: Honoraria, Membership on an entity's Board of Directors or advisory committees. Marlton:Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees. Wei:Novartis: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria; CTI: Consultancy, Honoraria; Abbvie: Honoraria, Research Funding; Servier: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding. Cartwright:ROCHE: Consultancy, Membership on an entity's Board of Directors or advisory committees. Roberts:Servier: Research Funding; Janssen: Research Funding; Genentech: Research Funding; AbbVie: Research Funding. Mills:Novartis: Membership on an entity's Board of Directors or advisory committees, Other: Meeting attendance sponsorship. Gill:Janssen: Membership on an entity's Board of Directors or advisory committees. Seymour:Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Gilead: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Genentech: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel support, Speakers Bureau; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel support, Research Funding, Speakers Bureau; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 23-24
Author(s):  
Ahmed Aribi ◽  
Anjali S Advani ◽  
William Donnellan ◽  
Amir T. Fathi ◽  
Marcello Rotta ◽  
...  

Background SEA-CD70 is being developed in myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML). Current treatment options are limited for patients (pts) with relapsed or refractory (r/r) MDS or r/r AML and outcomes remain poor. SEA-CD70 is an investigational humanized, non-fucosylated monoclonal antibody targeting CD70. Expression of CD70 is limited in normal tissue, but is aberrantly expressed on malignant myeloid blasts while absent from healthy hematopoietic progenitor cells. CD70 and its ligand, CD27, may play a role in malignant blast cell survival and/or tumor immune evasion. SEA-CD70 uses a novel sugar-engineered antibody (SEA) platform to produce a non-fucosylated antibody with enhanced effector function. The proposed mechanism of action of SEA-CD70 includes elimination of CD70 positive cells via enhanced antibody-dependent cellular cytotoxicity (ADCC), antibody-dependent cellular phagocytosis (ADCP), and mediation of complement-dependent cytoxicity (CDC). Additionally, SEA-CD70 has the potential to block the interaction of CD70 with CD27, which may disrupt signals that enhance blast proliferation and survival and may modulate the immune system to limit immune evasion and increase antigen specific T cell responses. Methods SGNS70-101 is a phase 1, open-label, multicenter, dose-escalation, and cohort expansion study designed to establish the safety, tolerability, and preliminary activity of SEA-CD70 in pts with myeloid malignancies (NCT04227847). Dose escalation is ongoing. In dose escalation, pts must have r/r MDS with 5-20% blasts which has failed prior treatment with a hypomethylating agent (HMA), and have no other therapeutic options known to provide clinical benefit for MDS. After conclusion of dose escalation, monotherapy expansion cohorts will be opened for pts with MDS and for pts with AML. Primary objectives are to evaluate the safety and tolerability, and to determine the maximum tolerated dose (MTD) or recommended expansion dose of SEA-CD70. Secondary objectives are to assess antitumor activity, PK, and immunogenicity of SEA-CD70. Once dose escalation is complete and the recommended monotherapy dose is identified, combination cohorts will be considered in AML and MDS. The study is currently enrolling with sites opening in the US and EU. Disclosures Aribi: Seattle Genetics: Consultancy. Advani:OBI: Research Funding; Takeda: Research Funding; Novartis: Consultancy, Other: advisory board; Pfizer: Honoraria, Research Funding; Kite: Other: Advisory board/ honoraria; Amgen: Consultancy, Other: steering committee/ honoraria, Research Funding; Seattle Genetics: Other: Advisory board/ honoraria, Research Funding; Immunogen: Research Funding; Glycomimetics: Consultancy, Other: Steering committee/ honoraria, Research Funding; Macrogenics: Research Funding; Abbvie: Research Funding. Donnellan:Kite Pharma/Gilead: Research Funding; Janssen: Research Funding; Karyopharm Therapeutics: Research Funding; AstraZeneca: Research Funding; Astex Pharmaceuticals: Research Funding; Incyte: Research Funding; MedImmune: Research Funding; TCR2 Therapeutics: Research Funding; Genentech: Research Funding; PTC Therapeutics: Consultancy, Research Funding; Pfizer: Research Funding; Daiichi Sankyo: Research Funding; Bristol-Myers Squibb: Research Funding; Amgen: Consultancy; Abbvie: Consultancy, Research Funding; Bellicum Pharmaceuticals: Research Funding; CTI Biopharma: Research Funding; Celgene: Research Funding; Celularity: Research Funding; Forma Therapeutics: Research Funding; Forty Seven: Research Funding; Takeda: Research Funding; H3 Biomedicine: Research Funding; Ryvu Therapeutics: Research Funding; Seattle Genetics: Consultancy, Research Funding. Fathi:Astellas: Consultancy; Agios: Consultancy, Research Funding; Amphivena: Consultancy, Honoraria; AbbVie: Consultancy; Pfizer: Consultancy; Daiichi Sankyo: Consultancy; Celgene: Consultancy, Research Funding; Forty Seven: Consultancy; Jazz: Consultancy, Honoraria; Kite: Consultancy, Honoraria; NewLink Genetics: Consultancy, Honoraria; Novartis: Consultancy; PTC Therapeutics: Consultancy; Takeda: Consultancy; TrovaGene: Consultancy; Amgen: Consultancy; Bristol-Myers Squibb: Consultancy, Research Funding; Blue Print Oncology: Consultancy; Boston Biomedical: Consultancy; Kura: Consultancy; Trillium: Consultancy; Seattle Genetics: Consultancy, Research Funding. Rotta:Merck: Speakers Bureau; Jazz Pharma: Speakers Bureau. Vachani:Blueprint: Consultancy; CTI Biopharma: Consultancy; Daiichi Sankyo: Consultancy; Incyte: Consultancy, Research Funding; Jazz: Consultancy; Astellas: Research Funding; Pfizer: Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy; Abbvie: Consultancy. Yang:AROG: Research Funding; Protagonist: Research Funding; Jannsen: Research Funding; AstraZeneca: Research Funding. Ho:Seattle Genetics: Current Employment, Current equity holder in publicly-traded company. Garcia-Manero:Novartis: Research Funding; Helsinn Therapeutics: Consultancy, Honoraria, Research Funding; Merck: Research Funding; Jazz Pharmaceuticals: Consultancy; Onconova: Research Funding; Amphivena Therapeutics: Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Acceleron Pharmaceuticals: Consultancy, Honoraria; AbbVie: Honoraria, Research Funding; Astex Pharmaceuticals: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; H3 Biomedicine: Research Funding; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 3402-3402
Author(s):  
Seung-Ah Yahng ◽  
Jae-Ho Yoon ◽  
Sung-Eun Lee ◽  
Seung-Hwan Shin ◽  
Byung-Sik Cho ◽  
...  

Abstract Background The successful induction chemotherapy of acute myeloid leukemia (AML) depends on the ability to achieve complete remission (CR) and to maintain remission status as long as possible. Approach to improve the rate of CR includes the intensification of induction chemotherapy for AML. The primary goal of this study was to evaluate and compare the long-term outcomes between remission induction therapy with and without early intensification added to the standard 3+7 remission induction regimen. Methods A retrospective analysis was performed on de novo AML patients diagnosed and treated at Catholic Blood and Marrow Transplantation Center between January 2001 and December 2010. Six hundred forty-one adults of ages between 16 and 60 were included, all of whom received induction chemotherapy starting with 3 days of idarubicin and 7 days of cytarabine or behenoyl cytarabine (BHAC). Cases with t(9;22) and t(15;17) were excluded. Bone marrow (BM) aspiration study was assessed on day 7 of induction in all patients. Factors which were considered for early intensification of induction were the presence of ≥ 5% BM blasts, patient performance, and other high risk clinical characteristics, such as karyotype. Groups according to early intensification on days 8 to 10 of induction were as followings: no intensification (3+7), n=156; cytarabine or BHAC for 3 days (3+10), n=233; addition of idarubicin for 2 days to 3+10 regimen (5+10), n=252. After a median duration of 5.5 months (3.3-19.0) from diagnosis, 479 patients underwent stem cell transplantation (autologous [auto-SCT], n=144; allogeneic [allo-SCT], n=335). Conditioning regimen for auto-SCT consisted of fractionated total body irradiation (TBI), melphalan, and cytarabine, whereas 83% (n=278) of patients with allo-SCT received myeloablative conditioning, of which was mostly TBI-based regimen (92%). Donors were matched sibling (n=213), matched unrelated (n=63), mismatched unrelated (n=39), and haploidentical related (n=20). Results The median age at diagnosis was 39 years (16-60). Mean values of BM blast % on day 7 of induction was 3.5 in 3+7 group, 7.9 in 3+10, and 33.6 in 5+10 (p=<0.0001), while no significant difference in the proportion of adverse karyotype was shown (11.7% vs. 12.8%, p=0.804). After first induction (3+7, n=165; 3+10/5+10, n=465), the CR/CRi rate was significantly higher in 3+10/5+10 versus 3+7 (78.1% vs. 69.2%, p=0.023), while the rate for death in aplasia was lower (4.3% vs. 9.6%, p=0.013). After re-induction with various regimens, the CR/CRi rate was still significantly higher in intensified group (p=0.012). The relapse rates between the groups in 536 patients achieving CR (83.6%), however, was not significantly different (8.9% vs. 9.9%, p=0.737). SCT was performed at CR1 (n=459), CR2 (n=10), or relapsed/refractory status (n=10). Patients with auto-SCT mostly had better/intermediate cytogenetic risk (96%) at diagnosis, while 12% of allo-SCT had poor karyotype. After the median follow-up duration of 60.2 months (2.2-143.5), the median overall survival (OS) in all patients (n=641) was 65.6 months. The 5-year disease-free survival (DFS) of patients with auto- and allo-SCT was 58.4±4.2 and 64.9±2.7, respectively. Of 334 patients receiving allo-SCT, the 5-year DFS was significantly higher in patients achieving CR1 (n=299) after first induction therapy (p<0.0001), in whom 75% of them had early intensification. Other factors with significant impact on DFS after allo-SCT (n=334) were karyotype at diagnosis (p=0.032) and donor type (HLA-matched vs. HLA-mismatched sibling or unrelated, 58.1%±3.8 vs. 45.1±8.0, p=0.016). The significances were confirmed in multivariate analysis, which demonstrated that achieving CR1 after first induction regimen and its maintenance until SCT was the most powerful predictor for DFS after allo-SCT (67.1±2.9 vs. 34.6±7.8, p=<0.0001). When all patients were analyzed, according to induction intensification, a statistically significant benefit in 10-year OS was observed in 5+10 intensified group (44.8% vs. 52.9%, p=0.032). Conclusion Our results suggest possible benefit of examining day 7 BM aspiration for the strategy of early intensification of induction chemotherapy for adult AML patients and our intensification doses can be safely added with high efficacy in the achievement of CR1 compared to 3+7 standard regimen, and may have affected for better DFS after allo-SCT. Disclosures: Kim: BMS: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Pfizer: Consultancy, Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding.


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