ALBERT

Description: Introduction Aberrant DNA methylation is a common feature of acute myeloid leukemia (AML) and increases with age. DNMT inhibitors such as Azacitidine (AZA) can induce meaningful responses and remissions in AML as monotherapy. The combination of AZA with standard chemotherapy (7+3) has not been tested in a randomized trial. Patients and study design The AML-AZA trial compared AZA directly followed by standard induction therapy, AZA followed by standard consolidation, and further Azacitdine maintenance with standard induction and consolidation without AZA in older patients with AML. All patients received standard Cytarabine (100 mg/sqm) and Daunorubicin (60 mg/sqm) induction (“7+3”) and up to two cycles of intermediate dose Cytarabine (1 g/sqm q12hr days 1, 3, 5) as consolidation therapy. AZA (75 mg/sqm for 5 days) preceded each therapy cycle in the AZA arm. In addition, AZA maintenance for up to 1 year was also scheduled for patients in the AZA arm. 105 patients were randomized to receive AZA plus Cytarabine plus Daunorubicin as induction therapy (AZA + 7+3) and 109 patients to receive 7+3 only (control group). Median age was 70 years in both treatment arms. Patient cohorts were well balanced with regard to blast counts in bone marrow, secondary versus de novo AML and molecular genetics risk group. More patients in the AZA + 7+3 arm (39/105; 37.1%) than in the control group (25/109; 22.9%) showed high risk cytogenetics (p=0.057). Event free survival (EFS) was the primary end point. Secondary endpoints were overall survival (OS), complete remission (CR) rate, toxicity and different treatment response according to molecular markers. Results Overall, 214 of 216 planned patients were enrolled into the AML-AZA trial. Due to a higher number of severe adverse events (SAE), AZA administration was stopped after recruitment of 214 patients whereas chemotherapy was continued as planned. Percentages of patients in the AZA arm with AZA doses as initially planned were as follows: 99% for first induction cycle, 72% for the second induction cycle. AZA as maintenance therapy for at least one cycle was delivered to 18% of patients in the AZA group. At least one SAE occurred in 51% of AZA + 7+3 patients compared to 31% of 7+3 patients (p=0.005). Cardiac disorders with CTCAE grade 3-5 occurred more frequently in the AZA + 7+3 arm (n = 15) than in the 7+3 arm (n = 6) (not significant). Leukopenia was prolonged by one day (median 23 vs 22 days) in the AZA + 7+3 group (p=0.043), whereas time of thrombocytopenia was not different. The early death rates at 30, 60 and 90 days did not differ significantly between treatment groups. Efficacy analyses were performed on an intention-to-treat basis. Median EFS as the primary endpoint was 6 months in both treatment arms (p=0.96). Median OS was 16 months for patients treated with AZA + 7+3 and 21 months for 7+3 (p=0.35). Median relapse free survival was 12 months in both treatment arms (p=0.95). 48 of 100 patients (48%) in the AZA + 7+3 arm achieved complete remission (CR) after induction therapy versus 57 of 109 patients (52%) in the 7+3 arm (p=0.58). DNMT3A exon 23 mutations were detected in 30 out of 162 analyzed patients. Exploratory analyses were performed to detect a potential interaction between AZA + 7+3 response and DNMT3A mutation status. Trends for improved EFS and OS were noted for AZA + 7+3 treatment in DNMT3A mutated patients. Conclusion AZA as addition prior to standard induction and consolidation chemotherapy does not prolong EFS and OS in unselected older AML patients and it is more toxic. However, a trend towards better efficacy in patients with DNMT3A mutation was observed and should be further explored. Disclosures Müller-Tidow: Celgene: Honoraria, Research Funding. Thiede:AgenDix GmbH: Equity Ownership, Research Funding; Illumina: Research Support, Research Support Other. Kiehl:Roche: Membership on an entity's Board of Directors or advisory committees. Brümmendorf:Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding. Ehninger:GEMoaB GmbH: Consultancy, Patents & Royalties.

Description: 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.

Description: Background: High throughput sequencing of immunoglobuline heavy chain gene rearrangements (IGH) recently demonstrated that B-cell precursor ALL (BCP-ALL) is a highly oligoclonal disease in children (Theunissen, Hematologica, 2017), however, little is known about the degree of oligoclonality in adults with BCP-ALL. Furthermore, no data exist on potential changes of the subclonal composition during therapy. Therefore, we aimed to monitor the clonal architecture of the leukemic blasts before and after Rituximab containing induction treatment in the context of the current German Multicentric Acute Lymphoblastic Leukemia (GMALL) 08/2013 trial. Materials & Methods: We identified and studied complete and incomplete immunoglobulin (IG) heavy chain rearrangements in 100ng of bone marrow (BM) DNA at diagnosis (dx) and 500ng BM DNA after Rituximab-containing induction I in 19 patients with BCP-ALL. We employed IGH-VJ FR1 and IGH-DJ NGS assays developed within the EuroClonality-NGS Consortium (www.euroclonalityngs.org), performing next generation sequencing on Illumina MiSeq. We analysed data with the ARResT/Interrogate bioinformatics platform (Bystry, Bioinformatics, 2017), which is also able to isolate and use the DN-J stem of V/DJ junctions to link clonally related rearrangements. Clones with abundance ≥5 %, and all subclones carrying the same DN-J stem as the dominant clones were considered as leukemia-associated and studied further. Employing the sequence of the DN-J stem, we could also link related complete and incomplete rearrangements, even though those are amplified in two separate PCRs. Results: At dx, 18/19 patients carried at least 1 IGH rearrangement with abundance ≥ 5%, 10 patients carried 2 or more. In all 18 patients with dominant markers detected at dx, subclones with abundance

Description: In fit patients with newly diagnosed acute myeloid leukemia (AML), immediate treatment start is recommended due to the poor prognosis of untreated acute leukemia. We explored the relationship between time from diagnosis to treatment start (TDT) and prognosis in a large real-world data set from the German Study Alliance Leukemia–Acute Myeloid Leukemia (SAL-AML) registry. All registered non–acute promyelocytic leukemia patients with intensive induction treatment and a minimum 12 months of follow-up were selected (n = 2263). We analyzed influence of TDT on remission, early death, and overall survival (OS) in univariable analyses for each day of treatment delay, in groups of 0 to 5, 6 to 10, 11 to 15, and 〉15 days of TDT, adjusted for influence of established prognostic variables on outcomes. Median TDT was 3 days (interquartile range, 2-7). Unadjusted 2-year OS rates, stratified by TDT of 0 to 5, 6 to 10, 11 to 15, and 〉15 days, were 51%, 48%, 44%, and 50% (P = .211). In multivariable Cox regression analysis accounting for established prognostic variables, the TDT hazard ratio as a continuous variable was 1.00 (P = .617). In OS analyses, separately stratified for age ≤60 and 〉60 years and for high vs lower initial white blood cell count, no significant differences between TDT groups were observed. Our study suggests that TDT is not related to survival. As stratification in intensive first-line AML treatment evolves, TDT data suggest that it may be a feasible approach to wait for genetic and other laboratory test results so that clinically stable patients are assigned the best available treatment option. This trial was registered at www.clinicaltrials.gov as #NCT03188874.

Description: Introduction: Treatment with Rituximab has improved the outcome for patients with B-cell precursor ALL (B-ALL) and is conventionally restricted to patients with CD20 expression on leukemic blasts above a level of 20%. However, it is not known whether this arbitrary cutoff is biologically meaningful, or if also patients with lower CD20 expression levels profit from Rituximab treatment. In addition, CD20 expression levels might differ between different compartments and can change during early treatment. Therefore, in the current German Multicentric Acute Lymphoblastic Leukemia (GMALL) 08/2013 trial Rituximab is applied to all BCR-ABL1-negative B-ALL patients during induction and early consolidation irrespective of the initial blast CD20 expression. In this study, CD20 expression on blasts at diagnosis and after a 5-day dexamethasone prephase is thoroughly characterized and correlated to MRD response after induction I including one dose of Rituximab to evaluate its impact on response to Rituximab. Methods: Comparative quantification of CD20 expression levels was performed at diagnosis (blood and bone marrow (BM)) and at the end of the prephase (blood) and correlated to minimal residual disease (MRD) response after early Rituximab treatment. Samples were subjected to the EuroFlow standardized stain, lyse and wash and instrument setting procedures (van Dongen et al., 2012) and stained with a 3-tube, 8-color panel, containing the markers CD45, CD20, CD10, CD66c, CD3, CD19, CD71, CD9, CD13+33, CD34, CD22, CD11a, and CD38. CD20 median fluorescence intensities (CD20-MFI) as well as percentages of CD20+ B-ALL blasts among all blasts (%CD20+) were measured. MRD was quantified at day 22 after induction I using real-time quantitative PCR of clonal immune gene rearrangements. MRD response after induction was defined as MRD decrease to a level below 10-4, MRD persistence as detection of quantifiable MRD ≥10-4. Results: FCM results of a total of 166 samples of 84 B-ALL patients were evaluated. CD20 expression of circulating blasts significantly increased after a 5-day prephase in common/pre-B-ALL (c/pre-B) but not in pro-B-ALL in a cohort of 36 paired peripheral blood samples (Fig. 1 A-B, n=8 pro-B-ALL, paired t-test of CD20-MFI and %CD20: p=.1016 and p=.1660, Fig. 2 A-B, n=28 c/pre-B-ALL, p=.0029 and p=0.0060). Interestingly, the increase of CD20 expression on B-ALL blasts contrasted that on mature normal B-cells, where a decrease occurred in pro-B-ALL and c/pre-B-ALL samples at day 6 (paired t-test: p=.0485 and p

Description: Purpose Mutations of the isocitrate dehydrogenase-1 (IDH1) and IDH2 genes are one of the most frequent alterations in acute myeloid leukemia (AML) and can be found in ~20% of patients at diagnosis. Several IDH inhibitors are currently in late stage clinical development with Enasidenib, an IDH2 inhibitor, being recently approved by the FDA. Previous analyses have reported differential impact on response to chemotherapy and outcome, depending on the IDH-mutation type, co-occurring mutations and cytogenetic abnormalities, as well as the variant allele frequency (VAF) of IDH mutations. In order to better understand its prognostic role, we analyzed newly diagnosed AML patients enrolled in prospective trials of the Study Alliance Leukemia (SAL) to investigate the impact of IDH1/2 mutations on outcome. Patients and Methods All AML patients consecutively enrolled into intensive AML treatment protocols of the SAL or into the SAL registry were included in this analysis. Next-generation sequencing (NGS) on an Illumina MiSeq-system was performed to detect IDH1/2 mutations using pre-treatment samples. Overall survival (OS) and response to therapy were analyzed for all patients with intensive treatment and according to the mutational status. Results Overall, samples of 3898 patients were analyzed. The median follow-up was 91 months (95% CI 87.2 - 93.9). Patients' characteristics are shown in Tbl.1. Three-hundred twenty-nine patients (8.4%) had IDH1 mutations and 423 (11%) had IDH2 mutations; both mutations were found in 12 pts, so the overall mutation rate in IDH1 and 2 was 19% (740/3898 patients). Of the IDH1 variants, the most common ones were the R132C found in 143 patients (43%) and R132H in 137 patients (42%). For IDH2, 324 patients had the R140Q (77%) and 80 patients the R172K (19%) variant. According to the two main variants of the more common IDH2 mutations, as reported before, the IDH2 R172K was mutually exclusive with NPM1 and/or FLT3-ITD mutations. Overall, there was a trend for increased OS for patients with IDH2 R172K (26 vs. 15 months) as compared to those with R140Q. Considering only patients with a normal karyotype and no NPM1/FLT3-ITD mutation, these patients (n=27) had a highly significant better OS than patients with IDH2 R140Q (46.3 vs. 13.1 months, p=.012), supporting the findings published by Papaemmanuil et al. (NEJM 2016). In IDH1-mutated patients, we observed statistically significant differences in baseline characteristics between the two most common mutation types, IDH1 R132C and R132H. Patients carrying the R132C mutation were older (62 vs. 55 years, p=.001), had lower WBC (3.6 vs. 21 Gpt/L, p≤.001) and were less likely to have a normal karyotype (43% vs. 66%, p=.002), NPM1 (23% vs. 66%, p=

Description: Flt3 internal tandem duplications cooperate with Wnt signaling in leukemic signal transduction Lara Tickenbrock, Joachim Schwable, Markus Wiedehage, Bjoern Steffen, Chunaram Choudhary, Wolfgang E. Berdel, Carsten Muller-Tidow and Hubert Serve Department of Medicine, Hematology and Oncology, University of Muenster, D-48149 Muenster, Germany The type III receptor tyrosine kinase (RTK) Flt3 plays an important role in survival and proliferation of hematopoietic progenitor cells. Somatic mutations of Flt3 consisting of internal tandem duplications (ITD) occur in 25% of patients with acute myeloid leukemia (AML), and are associated with a poor prognosis. They result in Flt3-ligand (FL) independent kinase activation of Flt3. The Wnt signal transduction pathway has recently been implicated to be an important regulator of early hematopoietic stem cell fate decisions. Also, we previously showed that activation of Wnt-dependent Tcf transcriptional activity is induced by the leukemia-associated fusion proteins PML-RAR? and AML1-ETO. Here, we show that Flt3-ITD mutations enhance basal and Wnt3a-stimulated Tcf activity in myeloid cells. Microarray experiments analyzing Flt3-ITD target genes in 32D cells revealed up to 8-fold induction of Frizzled-4, a cell surface receptor for Wnt proteins, by Flt3-ITD mutations. This could be verified by real-time RT-PCR and Western Blot analyses. In functional analyses, we explored the synergism of Flt3-ITD and the activation of Wnt signaling. Flt3-ITD mutations induced the accumulation of ?-Catenin and TCF-dependent transcriptional activity. Also, the presence of Flt3-ITD highly sensitized cells for ?-Catenin-induction by the Wnt3a. Wnt3a incubation enhanced 32D cell proliferation in the presence of activated Flt3 receptors. More importantly, Flt3-ITD-mediated clonogenic growth highly depended on the activity of Tcf transcription factors, since transient transfection of Flt3-ITD cells with dominant negative TCF4 almost abolished 32D cell colony growth. Our results indicate that Flt3-ITD mutations mediate their leukemogenic effects in part through the activation of Wnt-dependent signaling pathways, possibly defining this signal system as a converging point of leukemogenic events elicited by Flt3-mutations and leukemia-associated fusion proteins.

Description: Background In newly diagnosed acute myeloid leukemia (AML), the general recommendation is to start treatment immediately after the diagnosis has been made. This paradigm is based both on the observation that untreated acute leukemia has a poor prognosis and on retrospective analyses demonstrating a shorter survival in younger AML patients (pts) in whom treatment was delayed by more than 5 days (Sekeres et al., 2009). A more recent single-center analysis came to a different conclusion, showing no prognostic effect for the time from diagnosis to treatment (TDT; Bertoli et al., 2013). We explored the relationship between TDT and prognosis on a large set of real-world data from the AML registry of the Study Alliance Leukemia (SAL) and compared it to the published cohorts. Methods The SAL runs a transregional AML registry in 46 treatment centers across Germany (NCT03188874). All registered patients with an intensive induction treatment, a minimum follow-up time of 12 months and no acute promyelocytic leukemia were selected (n=2,200). Treatment start was defined by the first day of cytarabine, whereas single agent hydroxyurea (HU) was labeled as pretreatment. We analyzed the influence of TDT on complete remission (CR), early death (ED) and overall survival (OS) in univariable analyses for each day of treatment delay, in groups of 0-5, 6-10, 11-15 and 〉15 days of TDT, and by using the restricted cubic spline (RCS) method for data modelling. In order to adjust for the influence of established prognostic variables on the outcomes, we used multivariable regression models and propensity score weighting. The influence of HU pretreatment on outcomes was investigated by introducing an interaction term between TDT and the presence of HU pretreatment. Results The median age was 59 years (y) (IQR 50-68), the proportion of pts with favorable, intermediate and adverse genetic risk according to ELN was 27%, 53%, and 20%; 〉95% of pts received induction treatment with standard 7+3. HU pretreatment was administered in 4% of pts. The median TDT was 3 days (IQR 2-6). Descriptive statistics after grouping of pts showed the highest median age and the lowest proportion of NPM1 mutated and favorable risk in the TDT group 11-15. Of all pts, 79% achieved a CR/CRi; unadjusted CR rates for the patient groups with TDT of 0-5, 6-10, 11-15 and 〉15 days were 80%, 77%, 74% and 76%, respectively (p=0.317). In multivariable analysis accounting for the influence of ELN risk, age, WBC, LDH, de novo versus secondary AML and ECOG, the OR for each additional day of TDT was 0.99 (95%-CI, 0.97-1.00; p=0.124). Four percent of pts died within the first 30 days from treatment start. The respective rates in the four TDT categories were 4.0%, 3.8%, 5.1% and 4.1% (p=0.960). In multivariable analysis, the OR for TDT was 1.01 (95%-CI, 0.98-1.05; p=0.549). After a median follow-up of 40 months, the 2-y OS of all pts was 51%. The unadjusted 2-y OS rates stratified by TDT of 0-5, 6-10, 11-15, 〉15 days were 52, 49, 46, and 51% (see Table 1 and Figure 1). The hazard ratio (HR) for each day of treatment delay was 1.00 (95%-CI; 0.99-1.01; p=0.317). In multivariable Cox regression analysis, the HR for TDT as continuous variable was 1.00 (95%-CI, 0.99-1.01; p=0.689). When OS was analyzed separately stratified for age ≤60 and 〉60 ys and for high versus lower initial WBC defined by a threshold of 50 x 109/L, no significant differences between TDT groups were observed. Multivariable models using TDT as a grouped variable or with RCS did not provide evidence for a significant influence of TDT on outcomes. Propensity score matching of pts in the four TDT groups did not reveal an influence on outcomes. The use of HU was not associated with CR, ED nor OS. Conclusion Our study on 2,200 newly diagnosed registry pts receiving consistent intensive induction with standard-dose cytarabine plus daunorubicin (7+3) suggests that TDT is not related to response or survival, neither in younger nor in older pts. Despite multivariable analyses, a bias towards longer TDT intervals in pts judged to be clinically stable by the treating physician cannot be excluded entirely. As treatment stratification in intensive first-line treatment of AML evolves, the TDT data suggests that it may be a safe and reasonable approach to wait for genetic and other laboratory test results in order to assign clinically stable pts to the best available treatment option before the start of intensive treatment. Disclosures Krämer: Daiichi-Sankyo: Honoraria, Membership on an entity's Board of Directors or advisory committees; Bayer: Research Funding; BMS: Research Funding; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Hänel:Roche: Honoraria; Amgen: Honoraria; Celgene: Other: advisory board; Novartis: Honoraria; Takeda: Other: advisory board. Jost:Daiichi: Honoraria; Sanofi: Honoraria; Gilead: Other: travel grants; Jazz Pharmaceuticals: Honoraria. Brümmendorf:Merck: Consultancy; Janssen: Consultancy; Novartis: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; University Hospital of the RWTH Aachen: Employment; Ariad: Consultancy. Krause:Siemens: Research Funding; Takeda: Honoraria; MSD: Honoraria; Gilead: Other: travel; Celgene Corporation: Other: Travel. Scholl:Novartis: Other: Project funding; Pfizer: Other: Advisory boards; Gilead: Other: Project funding; Daiichi Sankyo: Other: Advisory boards; AbbVie: Other: Advisory boards. Hochhaus:Pfizer: Research Funding; Novartis: Research Funding; BMS: Research Funding; Incyte: Research Funding; MSD: Research Funding. Kiani:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Middeke:Sanofi: Research Funding, Speakers Bureau; Roche: Speakers Bureau; AbbVie: Consultancy, Speakers Bureau; Gilead: Consultancy; Janssen: Consultancy, Speakers Bureau; MSD: Consultancy. Thiede:AgenDix GmbH: Employment, Equity Ownership; Novartis: Research Funding, Speakers Bureau; Bayer: Research Funding; Daiichi-Sankyo: Speakers Bureau. Stoelzel:JAZZ Pharmaceuticals: Consultancy; Neovii: Other: Travel funding; Shire: Consultancy, Other: Travel funding. Platzbecker:Celgene: Consultancy, Honoraria, Research Funding; Abbvie: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding.

Description: Acute myeloid leukemia (AML) is one of the most common and life-threatening leukemias. A highly diverse and flexible metabolism contributes to the aggressiveness of the disease that is still difficult to treat. By using different sources of nutrients for energy and biomass supply, AML cells gain metabolic plasticity and rapidly outcompete normal hematopoietic cells. This review aims to decipher the diverse metabolic strategies and the underlying oncogenic and environmental changes that sustain continuous growth, mediate redox homeostasis and induce drug resistance in AML. We revisit Warburg’s hypothesis and illustrate the role of glucose as a provider of cellular building blocks rather than as a supplier of the tricarboxylic acid (TCA) cycle for energy production. We discuss how the diversity of fuels for the TCA cycle, including glutamine and fatty acids, contributes to the metabolic plasticity of the disease and highlight the roles of amino acids and lipids in AML metabolism. Furthermore, we point out the potential of the different metabolic effectors to be used as novel therapeutic targets.