Sun, Zhuoxin

Introduction: ECOG ACRIN E1910 is a randomized phase III trial that showed that adults with newly diagnosed BCR::ABL1 negative acute lymphoblastic leukemia (ALL) who become MRD negative (<0.01%) after induction chemo who receive blinatumomab with conventional chemotherapy (chemo) have improved survival compared with those who received chemo only (Litzow et al, Blood (2022) 140: Supplement 2, LBA-1). However, not all pts were able to receive all four planned cycles of blinatumomab in consolidation. In this report we assessed outcomes of pts in the blinatumomab arm of the trial who received all 4 cycles of blinatumomab compared to those who received 1-2 cycles. Methods: Patient between the ages of 30 and 70 with newly diagnosed BCR::ABL1 negative B-lineage ALL were enrolled and initially received 2.5 months of combination induction chemo utilizing a BFM-like regimen adapted from the E2993/UKALLXII clinical trial, with pegaspargase (after induction only for patients >=55 years of age) and addition of rituximab for CD20 positive patients. After remission induction (step 1) pts in morphologic complete remission (CR/CRi) received an intensification course of high dose methotrexate with pegaspargase for CNS prophylaxis (step 2). At the conclusion of step 2, remission and MRD status were determined centrally by 6-color flow cytometry with MRD negativity defined as <0.01%. In the primary analysis subset, MRD negative patients were randomized to receive an additional 4cycles of consolidation chemo or 2 cycles of blinatumomab at 28 mcg/day (flat dose) for 28 days each cycle followed by 3 cycles of consolidation chemo, another 4-week cycle of blinatumomab (3rd cycle of blinatumomab) followed by an additional cycle of chemo and then a 4th cycle of blinatumomab (step 3). Following completion of consolidation chemo +/- blinatumomab, pts were given 2.5 years of POMP maintenance therapy timed from the start of the intensification cycle (step 4). Estimates of OS were calculated using the Kaplan-Meier method. Comparison of OS between treatment arms were conducted using the stratified log-rank test and Cox proportional-hazards model with age, CD20 status, rituximab use, and whether pts intend to receive HSCT or not as stratification factors. As the number of cycles needed to optimize outcome has not been studied, an unplanned landmark analysis was used to compare OS of pts in the blinatumomab arm who received all 4 cycles o those who received 1-2 cycles. Time 0 was chosen as 9 months post step 3 randomization (the time that patients were supposed to complete 4 cycles of blina). Four pts who received blinatumomab but died within 9 months post step 3 randomization were therefore excluded from this analysis. Results: The study was activated on December 17, 2013 and closed to enrollment on October 15, 2019. 772 pts were screened for the trial and 488 were enrolled on step 1 induction therapy. The median age of the pts was 51 years (range 30-70). 224 MRD negative pts were randomized, 112 pts to each arm. In the blinatumomab arm 12 pts received 1 cycle (11%), 32 pts received 2 cycles (29%), 4 pts received 3 cycles (4%) and 63 pts received 4 cycles (57%). The OS of pts who received 1-2 cycles of blinatumomab was compared to control (Figure 1) The difference was not significant (hazard ratio 0.62, 95% CI 0.28 to 1.34, p=0.22). Fig 2 compares the survival of those who received 1-2 cycles to those who received 4 cycles ( (HR: 0.39, 95% CI 0.12 to 1.16, p=0.076). Conclusion: The addition of blinatumomab to consolidation chemotherapy resulted in a significantly better overall survival compared to chemotherapy alone in pts with newly diagnosed B-lineage ALL who were MRD negative after intensification. This represents a new standard of care for pts aged 30-70 years with BCR::ABL1 negative ALL. The optimal dose and number of cycles is however unknown. In this unplanned subgroup analysis we demonstrate that a survival benefit can only be confirmed in patients who receive the intended 4 cycles of blinatumomab during consolidation. Further studies will be needed to determine if fewer cycles can provide a similar benefit.

Background There is limited prospective or comparative data evaluating the HRQoL impact of intensive chemotherapy (IC) in older adults (age ≥60 years) with AML. In the recent EA E2906 phase 3 study of '7&3' (daunorubicin & cytarabine) vs. clofarabine (CLO), a putative lower intensity therapy, we incorporated a prospective patient-reported outcomes (PRO) assessment of HRQoL and fatigue to understand treatment impact from the patients' (pts) perspective. Methods E2906 study design and results have been presented previously [n=727, med. age 68 years (range 60-86), randomized 1:1 to ‘standard’ ‘7&3‘ & high dose cytarabine (Arm A) vs. single agent CLO (Arm B), as remission induction (Step 1) and consolidation (Step 2), respectively]. There was no difference in composite complete remission (CCR, 50%) or 30-day mortality rates (8.5%), and in primary analysis CLO was inferior for Overall Survival. HRQoL was a key secondary protocol endpoint. PROs assessed HRQoL and leukemia-specific symptoms and concerns using Functional Assessment of Cancer Therapy-Leukemia scale (FACT-Leu), & Fatigue using FACT-Fatigue subscale. PROs were administered at prespecified time points: (1) Baseline; (2) Cycle 1 at nadir (approx. Day 15); (3) End of Step 1 restaging (approx. D 40); (4) Beginning of Step 2 (1 st consolidation, approx. D 45); and (5) 2 nd cycle consolidation/End Step 2 (approx. D 60). The FACT-Leu Trial Outcome Index ( TOI) was calculated by summing physical well-being, functional well-being, and leukemia-specific concerns subscales to create a single composite score. Higher TOI scores correspond to better HRQoL. The primary endpoint was to evaluate TOI difference from randomization to day 30 after induction therapy between arms, evaluated using Wilcoxon rank sum test. We also compared Clinically Meaningful differences (CMiD) in TOI (defined as patient change ≥½ standard deviation from baseline TOI) between arms, using the X2 test. Pts not completing at least 2 assessment forms (including baseline) were excluded. Testing of constructs of Physical Well-being (PWB), Functional, Leukemia & Fatigue scales demonstrated high Cronbach's a values (a >0.7) except for PWB (a=0.672) at a single time point (End of Step 2). Results Baseline TOI was available for n=489, and 364 pts (n=182 each Arm) were evaluable in this planned analysis. Evaluating CMiD during Cycle 1 induction, pts in Arm B were less likely to experience ‘Worse’ TOI score (32% vs. 40.7%, Arm A), more likely to maintain stable TOI scores (49.1% vs. 39%, Arm A), and had a similar proportion of ‘Better’ TOI scores (20.3%, A vs. 18.9%, B) although differences were not significant (p=0.1389). Conversely in cycle 1 consolidation, more patients in Arm A experienced Better TOI (45.1% vs. 29.2%, Arm B), fewer had stable TOI (45.1% vs. 58.3%, Arm B), and rates of ‘Worse’ TOI were similar (9.8%, A vs 12.5%, Arm B), again differences were not significant (p=0.2616). There was no difference in Fatigue scores between Arms (p=0.49). We evaluated whether TOI and Fatigue scores could predict the ability to complete protocol therapy. In univariate analysis baseline TOI (p=0.0059) and Fatigue (p=0.0057) were associated with Step 1 completion, however on multivariate analysis (adjusting for age, sex, and Arm) were no longer significant [TOI, Odds Ratio (OR) 1.03 (0.98-1.08, p=0.27); Fatigue, OR 1.03 (0.96-1.11, p=0.42)]. There was a borderline association of TOI with Step 2 completion [TOI OR 1.10 (1.00-1.23, p=0.06)]. Using a multivariable linear mixed effects model, we observed similar and significant changes in TOI scores in both Arms, demonstrating the effect of IC & CLO on HRQoL (Figure). Comparing to baseline, TOI scores decreased significantly at C1 induction nadir (-4.0873, p<0.0001), and increased by 5.0762 (p=0.0004) at end Step 1, by 6.9047 at cycle 1 consolidation (p<0.0001), and by 11.4601 (p<0.0001) at end Step 2. Differences were mainly apparent in those who achieved CCR, and there was significant attrition in PRO responses in non-CCR pts. Conclusions Older adults experienced significant improvement in HRQoL after nadir regardless of therapy, and those achieving CCR report significantly higher scores. We did not observe differences in leukemia specific HRQoL or fatigue between treatment Arms (7&3 vs. CLO). Patient-reported HRQoL & Fatigue was not predictive of completion of protocol therapy. These results serve as a benchmark for expectations with IC in older adults.

AbstractSomatic mutations in isocitrate dehydrogenase (IDH) genes occur frequently in adult acute myeloid leukemia (AML) and less commonly in pediatric AML. The objective of this study was to describe the prevalence, mutational profile, and prognostic significance of IDH mutations in AML across age. Our cohort included 3141 patients aged between <1 month and 88 years treated on Children’s Cancer Group/Children’s Oncology Group (n = 1872), Southwest Oncology Group (n = 359), Eastern Cooperative Oncology Group (n = 397) trials, and in Beat AML (n = 333) and The Cancer Genome Atlas (n = 180) genomic characterization cohorts. We retrospectively analyzed patients in 4 age groups (age range, n): pediatric (0-17, 1744), adolescent/young adult (18-39, 444), intermediate-age (40-59, 640), older (≥60, 309). IDH mutations (IDHmut) were identified in 9.2% of the total cohort (n = 288; IDH1 [n = 123, 42.7%]; IDH2 [n = 165, 57.3%]) and were strongly correlated with increased age: 3.4% pediatric vs 21% older, P < .001. Outcomes were similar in IDHmut and IDH-wildtype (IDHWT) AML (event-free survival [EFS]: 35.6% vs 40.0%, P = .368; overall survival [OS]: 50.3% vs 55.4%, P = .196). IDH mutations frequently occurred with NPM1 (47.2%), DNMT3A (29.3%), and FLT3-internal tandem duplication (ITD) (22.4%) mutations. Patients with IDHmut AML with NPM1 mutation (IDHmut/NPM1mut) had significantly improved survival compared with the poor outcomes experienced by patients without (IDHmut/NPM1WT) (EFS: 55.1% vs 17.0%, P < .001; OS: 66.5% vs 35.2%, P < .001). DNTM3A or FLT3-ITD mutations in otherwise favorable IDHmut/NPM1mut AML led to inferior outcomes. Age group analysis demonstrated that IDH mutations did not abrogate the favorable prognostic impact of NPM1mut in patients aged <60 years; older patients had poor outcomes regardless of NPM1 status. These trials were registered at www.clinicaltrials.gov as #NCT00070174, #NCT00372593, #NCT01371981, #NCT00049517, and #NCT00085709.

AbstractBackgroundObesity (body mass index [BMI] ≥30 kg/m2) is an important epidemiological risk factor for developing acute myeloid leukemia (AML). Therefore, the authors studied the association of obesity with clinical and genetic phenotype and its impact on outcome in adults with AML.MethodsThe authors analyzed BMI in 1088 adults who were receiving intensive remission induction and consolidation therapy in two prospective, randomized therapeutic clinical trials of the Eastern Cooperative Oncology Group‐American College of Radiology Imaging Network: E1900 (ClinicalTrials.gov identifier NCT00049517; patients younger than 60 years) and E3999 (ClinicalTrials.gov identifier NCT00046930; patients aged 60 years or older).ResultsObesity was prevalent at diagnosis (33%) and, compared with nonobesity, was associated with intermediate‐risk cytogenetics group (p = .008), poorer performance status (p = .01), and a trend toward older age (p = .06). Obesity was not associated with somatic mutations among a selected 18‐gene panel that was tested in a subset of younger patients. Obesity was not associated with clinical outcome (including complete remission, early death, or overall survival), and the authors did not identify any patient subgroup that had inferior outcomes based on BMI. Obese patients were significantly more likely to receive <90% of the intended daunorubicin dose despite protocol specification, particularly in the E1900 high‐dose (90 mg/m2) daunorubicin arm (p = .002); however, this did not correlate with inferior overall survival on multivariate analysis (hazard ratio, 1.39; 95% confidence interval, 0.90–2.13; p = .14).ConclusionsObesity is associated with unique clinical and disease‐related phenotypic features in AML and may influence physician treatment decisions regarding daunorubicin dosing. However, the current study demonstrates that obesity is not a factor in survival, and strict adherence to body surface area‐based dosing is not necessary because dose adjustments do not affect outcomes.

Abstract Introduction: Allogeneic stem cell transplantation (alloSCT) is the most effective post remission anti-leukemia strategy. However, the associated toxicity is a barrier for its routine adoption as standard of care in older adults. Studies of AML patients who underwent alloSCT are mainly retrospective as randomized controlled trials comparing transplantation to non-transplantation are very difficult to conduct. We herein present prospective data from a randomized controlled phase III study, E2906, designed to compare two intensive chemotherapy arms. Patients who achieved remission and had a donor were to proceed to alloSCT after induction or first consolidation, at investigator discretion. Non-transplanted patients received 2 cycles of consolidation and then underwent a second randomization between observation and decitabine maintenance. Herein are reported all patients who received alloSCT either on protocol during first remission (CR1) or at other post induction time-points. Patients and Methods: Enrolled to E2906 study were 727 AML patients age 60 years and over. AlloSCT was performed in 166 patients, of whom 71 received alloSCT as part of the study and 95 received alloSCT off protocol. 105 patients (66/71 on protocol, 39/95 off protocol) received alloSCT at CR1/CRi1/LFS1 (CR: 92, CRi: 9 LFS: 4). Patients were followed for a median of 33.6 months from diagnosis and 29.1 months from transplant. No patients received decitabine maintenance prior to alloSCT. Overall survival (OS) is defined as the time from allo transplant to death from any cause, with follow-up censored at the date of last contact. Disease free survival (DFS) is defined as the time from alloSCT transplant to relapse or death of any cause. The censored follow-up time for patients without relapse or death information is the date of last contact. Kaplan-Meier estimates were used to estimate OS and DFS. DFS and OS were compared between subgroups using log rank tests. A cumulative incidence analysis, with death without prior relapse as competing events, was performed to evaluate the subgroup effect on time to relapse after transplant. Results: Patient characteristics of those who received alloSCT at CR1/CRi1/LFS1 are similar to the general distribution of AML patients eligible for intensive chemotherapy. Median age was 66 years, 52% were male and 88% with ECOG PS of 0-1. Cytogenetic data were available for 85 patients of whom 26% presented with unfavorable cytogenetics. Minimal residual disease (MRD) status prior to alloSCT was available for 44 patients of whom 19 (43%) achieved a MRD negative state. Long-term OS and DFS rates for all 105 patients who underwent alloSCT at CR1/CRi1/LFS1 are encouraging (Figure 1). OS and DFS at two years were 56.4% and 53.6% and 49.4%, 45.6% and 42.9%, 39% at 3 and 4 years, respectively. Age above or below 65 years, gender, induction regimen (3+7 or clofarabine) and MRD status prior to transplantation had no impact on outcome. Survival curves by intermediate or adverse cytogenetic risk are not significantly different. The numbers of patients with CRi1 or LFS1 are too small to compare with patients in CR1. Nevertheless, 36/38 patients that were alive and remain in first remission at the time of data cutoff, are patients who achieved CR1 and only 2/38 are patients transplanted at CRi1 or LFS1. Notably, the non-relapse mortality (NRM) was not significantly different for patients less or over 65 years. NRM at 6 months and 2 years for patients over and under 65 years of age were 4.4%, 8.4% and 15.6%, 24.0% respectively. Relapse during the first year post alloSCT is the main barrier for longer survival, particularly in patients with adverse cytogenetics and MRD positivity prior to transplantation (Figure 2). Conclusions: Fit older patients, including those over age 65, who undergo an alloSCT in CR1, can expect a 4-year survival of 43% with an acceptable NRM rate. The NRM was, surprisingly, not higher than for a typically younger cohort of AML. Relapse within one year after transplant is the major limitation to prolonged survival and this finding reflects the biology of the leukemia in these patients. In this patient population, novel post remission strategies should either be complimentary to alloSCT or competitive with updated outcome of alloSCT. Figure 1 Figure 1. Disclosures Ofran: Medison Israel: Consultancy; Janssen: Consultancy; Pfizer: Consultancy; Astellas: Consultancy; AbbVie: Consultancy. Claxton: Astellas: Other: Clinical Trial; Novartis: Research Funding; Astex: Research Funding; Cyclacel: Research Funding; Daiichi Sankyo: Research Funding; Incyte: Research Funding. Tallman: Syros: Membership on an entity's Board of Directors or advisory committees; Kura: Membership on an entity's Board of Directors or advisory committees; NYU Grand Rounds: Honoraria; Innate Pharma: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Biosight: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Jazz Pharma: Membership on an entity's Board of Directors or advisory committees; Oncolyze: Membership on an entity's Board of Directors or advisory committees; KAHR: Membership on an entity's Board of Directors or advisory committees; Orsenix: Membership on an entity's Board of Directors or advisory committees; Daiichi-Sankyo: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding; Rafael Pharmaceuticals: Research Funding; Glycomimetics: Research Funding; Biosight: Research Funding; Orsenix: Research Funding; Abbvie: Research Funding; Mayo Clinic: Honoraria; UC DAVIS: Honoraria; Northwell Grand Rounds: Honoraria; NYU Grand Rounds: Honoraria; Danbury Hospital Tumor Board: Honoraria; Acute Leukemia Forum: Honoraria; Miami Leukemia Symposium: Honoraria; New Orleans Cancer Symposium: Honoraria; ASH: Honoraria; NCCN: Honoraria. Melnick: Constellation: Consultancy; Epizyme: Consultancy; Daiichi Sankyo: Research Funding; Sanofi: Research Funding; Janssen Pharmaceuticals: Research Funding; KDAC Pharma: Membership on an entity's Board of Directors or advisory committees. Levine: Prelude: Membership on an entity's Board of Directors or advisory committees; Ajax: Membership on an entity's Board of Directors or advisory committees; Zentalis: Membership on an entity's Board of Directors or advisory committees; Mission Bio: Membership on an entity's Board of Directors or advisory committees; QIAGEN: Membership on an entity's Board of Directors or advisory committees; Gilead: Honoraria; Lilly: Honoraria; Morphosys: Consultancy; Janssen: Consultancy; Incyte: Consultancy; Astellas: Consultancy; Imago: Membership on an entity's Board of Directors or advisory committees; Auron: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Celgene: Research Funding; Roche: Honoraria, Research Funding; C4 Therapeutics: Membership on an entity's Board of Directors or advisory committees; Isoplexis: Membership on an entity's Board of Directors or advisory committees. Lazarus: Bristol Myer Squibb: Membership on an entity's Board of Directors or advisory committees. Luger: Syros: Honoraria; Agios: Honoraria; Daiichi Sankyo: Honoraria; Jazz Pharmaceuticals: Honoraria; Brystol Myers Squibb: Honoraria; Acceleron: Honoraria; Astellas: Honoraria; Pfizer: Honoraria; Onconova: Research Funding; Celgene: Research Funding; Biosight: Research Funding; Hoffman LaRoche: Research Funding; Kura: Research Funding. Foran: gamida: Honoraria; aptose: Research Funding; syros: Honoraria; boehringer ingelheim: Research Funding; kura: Research Funding; takeda: Research Funding; abbvie: Research Funding; trillium: Research Funding; revolution medicine: Honoraria; certara: Honoraria; actinium: Research Funding; OncLive: Honoraria; pfizer: Honoraria; servier: Honoraria; bms: Honoraria; novartis: Honoraria; taiho: Honoraria; sanofi aventis: Honoraria; h3bioscience: Research Funding; aprea: Research Funding; sellas: Research Funding; stemline: Research Funding. Litzow: Jazz: Other: Advisory Board; AbbVie: Research Funding; Omeros: Other: Advisory Board; Amgen: Research Funding; Actinium: Research Funding; Astellas: Research Funding; Pluristem: Research Funding; Biosight: Other: Data monitoring committee.

Abstract Introduction Several studies reported that AML patients who remain in long-term remission after allogeneic transplant (allo-HCT) or autologous transplant (auto-HCT) have a shorter life expectancy, compared to the general population. However, little is known about the life expectancy of adult long-term survivors of AML who were treated with chemotherapy without HCT and, there have been no comparisons with survival among the general population. The current study reports on the life expectancy of AML patients who survived 3 years in complete remission (CR) after treatment without HCT, and compared this to the gender- and age-matched normal population. At 3 years in CR, the incidence of recurrence is exceedingly low (3%; Watts JM, Leuk Res 2014) minimizing the impact of relapse on the long-term survival. Methods Between 1984 and 2008, 3,012 patients, aged 15 years and older, with untreated AML entered 9 consecutive, phase II and III, ECOG-ACRIN trials (E3483, PC486, E3489, E1490, E3993, E4995, E3997, E3999, E1900). Patients in CR and relapse-free at 3 years are included in the analysis . Minimal cytogenetic information was available in the early protocols (E1490, E3483, PC486). A Kaplan-Meier plot was generated for the three groups, allo, auto and no HCT, censoring for patients alive at last contact. Univariate and multivariate cox proportional hazard regression models were generated, considering death as an event. For comparison of long-term outcomes, patients were grouped together by age and matched to a normative population mortality rate. Subjects were also grouped by gender and treatment allowing for separate analysis of these groups with the no HCT group as the main group of interest. The normative population comparator of expected deaths was derived using mortality rates from United State CDC life table data. The median year was derived by calculating the person-years for each calendar year that patients were followed. To calculate the expected deaths for each age group, person-years was calculated by tabulating the years lived in each age group for all subjects. Each year of follow-up for AML patient was counted as one person year, and the tabulated bin corresponded with their age at the time. Person-years was then multiplied by the matching mortality rate. Chi-square statistics were derived using expected and observed deaths and then summed for each gender and treatment. The final comparison was of mortality rates since diagnosis in the 3-year alive and relapse-free AML patient population vs the normative population. To produce plots of mortality from diagnosis, person-years was tabulated for every year since diagnosis by treatment. The person-years were tabulated into 2-year bins. The US life tables from the CDC were used to generate a population mortality rate from diagnosis. Results A total of 503 adult AML patients in 3 year CR with a mean age of 42.9 years (15-79) were identified; 78 underwent allo, 110 auto and 315 did not undergo transplantation. The patients in the groups differed in age (p&lt;.001) and cytogenetics (p=.01). The multivariate model showed equivalent hazards of death to the 3 groups. Observed deaths and person-years were given by age group, gender, and treatment group and each were matched to a mortality rate from the United State CDC life table data that matched the median year of each treatment group. A chi square test for each group compared the derived expected to observed deaths. In every treatment group, patients had a shorter survival compared to their age- and gender- matched general population (p-value of 0.004 for the auto-HCT and &lt;0.001 for both allo-HSCT and no transplant groups). Table 1, selected only for the no HCT group, demonstrates the mortality rates by age and gender. Figure 1 indicates that AML patients who have survived relapse-free for at least 3 years continue to have higher mortality rates compared to the normative population for up to 14 years. This finding is not altered even if the very small number of patients who die from late relapse (&gt;3 years from diagnosis) are removed from the analysis (data not shown) Conclusions Patients with AML who remain in CR at 3 years, do not have a normal life expectancy, even if they do not undergo HCT. The shorter life expectancy observed following an HCT may, at least in part, be related to the prior intensive therapy or other predisposing factors (e.g. CHIP) of the leukemia, rather than the transplant procedure itself. Figure 1 Figure 1. Disclosures Luger: Syros: Honoraria; Agios: Honoraria; Daiichi Sankyo: Honoraria; Jazz Pharmaceuticals: Honoraria; Brystol Myers Squibb: Honoraria; Acceleron: Honoraria; Astellas: Honoraria; Pfizer: Honoraria; Onconova: Research Funding; Celgene: Research Funding; Biosight: Research Funding; Hoffman LaRoche: Research Funding; Kura: Research Funding. Lazarus: Bristol Myer Squibb: Membership on an entity's Board of Directors or advisory committees. Douer: Amgen: Consultancy, Speakers Bureau; Servier: Consultancy, Speakers Bureau; Adaptive: Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company, Speakers Bureau; Jazz: Consultancy. Tallman: Syros: Membership on an entity's Board of Directors or advisory committees; Kura: Membership on an entity's Board of Directors or advisory committees; Innate Pharma: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Biosight: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Jazz Pharma: Membership on an entity's Board of Directors or advisory committees; Oncolyze: Membership on an entity's Board of Directors or advisory committees; KAHR: Membership on an entity's Board of Directors or advisory committees; Orsenix: Membership on an entity's Board of Directors or advisory committees; Daiichi-Sankyo: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding; Rafael Pharmaceuticals: Research Funding; Glycomimetics: Research Funding; Biosight: Research Funding; Orsenix: Research Funding; Abbvie: Research Funding; NYU Grand Rounds: Honoraria; Mayo Clinic: Honoraria; UC DAVIS: Honoraria; Northwell Grand Rounds: Honoraria; NYU Grand Rounds: Honoraria; Danbury Hospital Tumor Board: Honoraria; Acute Leukemia Forum: Honoraria; Miami Leukemia Symposium: Honoraria; New Orleans Cancer Symposium: Honoraria; ASH: Honoraria; NCCN: Honoraria. Litzow: Pluristem: Research Funding; Biosight: Other: Data monitoring committee; AbbVie: Research Funding; Actinium: Research Funding; Astellas: Research Funding; Omeros: Other: Advisory Board; Jazz: Other: Advisory Board; Amgen: Research Funding.

SummaryThere are conflicting reports in the literature suggesting that one gender or the other has a better survival with acute myeloid leukaemia (AML). The present study was done in an attempt to resolve the issue. The effect of gender was examined on 3546 newly diagnosed patients with AML, including 548 patients with acute promyelocytic leukaemia (APL) enrolled in 10 multi‐institutional treatment studies from March 1984 to November 2008. Kaplan–Meier estimates were used to estimate event‐time distributions for survival and multivariate models were used to examine the gender effect after adjusting for multiple risk factors. P values were based on two‐sided tests. Non‐APL female patients had a significantly better overall (OS) but not disease‐free survival (DFS) than males, irrespective of age, initial white blood cell count, or dose of daunorubicin. No differences were observed for obese or FMS‐like tyrosine kinase 3‐internal tandem duplication (FLT3‐ITD)‐positive patients. Female patients with APL had a significantly better OS and DFS than male patients with APL, and differences in survival were greater for patients with t(15;17) + other cytogenetic abnormalities compared with those with t(15;17) only. Gender is an independent prognostic variable in patients with AML. Whether these survival differences are due to hormonal, genetic or pharmacokinetic differences between the sexes or differential toxin exposure such as smoking is unknown. However, the former seems less likely as patient age did not influence the survival advantage for female patients.