Gamis, Alan S.

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.

Background: Somatic mutations in the IDH genes are common in acute myeloid leukemia (AML). Mutations occur at active site arginine residues in IDH1 (R132) and IDH2 (R140, R172). IDH inhibitors, ivosidenib (IDH1) and enasidenib (IDH2), have shown improved clinical outcomes in patients with relapsed/refractory IDH-mutant AML and are approved for use in this setting, while investigations in combination with chemotherapy are underway in de novo AML. The prognostic significance of IDH mutations remains controversial. We hypothesize that refining our understanding of IDH-mutated AML will contribute to risk-adapted treatment strategies, including optimal use of IDH-targeted agents. The objective of our study was to identify characteristics that affect outcome in de novo IDH-mutated AML across the age spectrum utilizing a large cohort of patients enrolled on several pediatric and adult trials. Methods: The total cohort (N=3588) included patients age <1 month - 88 years. Pediatric and young adult (YA) patients were treated on recent CCG/COG AML trials (CCG2961, COG 03P1, 0531, 1031, N=2231) and YA/adult patients were treated on SWOG S0106 (N=396), ECOG E1900 AML trials (N=398), Beat AML (N=363), or included in the TCGA biology study (N=200; outcomes not evaluated for this group). Patients were analyzed according to three defined age groups: "younger" 0-29 years of age (N=2401), "intermediate" 30-59 years of age (N=819) and "older" 60 years of age and above (N=319). Data regarding clinical characteristics and treatment outcomes were collected and evaluated according to the standard practices of each cooperative or research groups for the respective studies. Mutational profiling was performed by targeted sequencing for patient samples from COG trials, Beat-AML, ECOG, and SWOG; whole-genome or whole-exome sequencing for the TCGA cohort. Prevalence of IDH mutations, co-occurring mutations, and outcomes (5-year event-free survival [EFS]) were analyzed across the defined age groups. Results: The prevalence of IDH mutations among the entire cohort was 8.6% (N=276). Analysis according to mutation type demonstrated that IDH2 mutations comprised 57% (N=158) and IDH1 mutations 43% (N=118). The prevalence of IDH mutations was strongly correlated with increased age (Fig 1A); according to the age-defined cohorts was 4.0% (N=82) in younger, 15.2% (N=126) in intermediate, and 20.3% (N=65) in older patients (p<0.001). The co-occurring mutational profile demonstrated that IDH mutations commonly co-occurred with NPM1,DNMT3A, and FLT3-ITD mutations (Fig 1B). Among IDH-mutant patients, 48% (N=132) harbored dual mutations (IDHmut/NPM1mut); 11.6% (N=32) triple mutations (IDHmut/NPM1mut/DNMT3Amut), the latter particularly prevalent in intermediate-aged adults (N=27/32, 85%). Analysis of the cohort with outcome data (N=2824) demonstrated that IDHmut and IDH-WT patients experienced similar EFS of 39% vs. 40%, respectively (p=0.723). Given the favorable prognostic significance of NPM1, we subsequently analyzed outcomes of this dual mutant group and found that NPM1 mutations retained favorable prognostic impact in the context of IDH mutant patients (Fig 2A). Notably, this effect was age-dependent, as those with IDHmut/NPM1mut had a favorable EFS compared to IDHmut/NPM1-WT for younger (76% vs. 24%, p<0.001) and intermediate patients (43% vs. 15%, p=0.001, Fig 2B) but this favorable effect was lost in older patients (29% vs. 34%, p=0.456, Fig 2C). Among intermediate age patients, outcome was further stratified by DNMT3A status, and IDHmut/NPM1mut/DNMT3Amut patients experienced an inferior EFS of 25% vs. 57% in IDHmut/NPMmut (p=0.003, Fig 2D). Conclusion: Analysis of this large patient cohort provides the most comprehensive description of IDH mutations in AML across the age spectrum. We confirm age-associated prevalence of IDH mutations and frequent co-occurrence with NPM1 mutation in all ages and in further combination with DNMT3A mutation in intermediate-aged adults. We definitively demonstrate that IDH mutation status is not an independent prognostic determinant of outcome in any age group. Co-occurrence of NPM1 and IDH mutations favorably impacts outcome in patients < 60 years of age with AML, particularly in the absence of DNMT3A mutation. Our data support that IDH inhibitors may be of particular interest in older adults and in patients <60 according to co-occurring NPM1 and DNMT3A mutations. Disclosures Othus: Marck: Consultancy; Daiichi Sankyo: Consultancy; Celgene: Membership on an entity's Board of Directors or advisory committees; Glycomimetics: Membership on an entity's Board of Directors or advisory committees. Radich:Jazz: Consultancy; Novartis Pharmaceuticals Corporation: Consultancy, Research Funding; Amgen: Consultancy; Bristol-Myers Squibb: Consultancy. Abdel-Wahab:Merck: Consultancy; Janssen: Consultancy; Envisagenics Inc.: Current equity holder in private company; H3 Biomedicine Inc.: Consultancy, Research Funding. Tallman:UpToDate: Patents & Royalties; ADC Therapeutics: Research Funding; BioSight: Membership on an entity's Board of Directors or advisory committees, Research Funding; Glycomimetics: Research Funding; Rafael: Research Funding; Amgen: Research Funding; Bioline rx: Membership on an entity's Board of Directors or advisory committees; Daiichi-Sankyo: Membership on an entity's Board of Directors or advisory committees; KAHR: Membership on an entity's Board of Directors or advisory committees; Rigel: Membership on an entity's Board of Directors or advisory committees; Delta Fly Pharma: Membership on an entity's Board of Directors or advisory committees; Oncolyze: Membership on an entity's Board of Directors or advisory committees; Jazz Pharma: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Abbvie: Research Funding; Cellerant: Research Funding; Orsenix: Research Funding. Atallah:Jazz: Consultancy; Genentech: Consultancy; Abbvie: Consultancy; Takeda: Consultancy, Research Funding; Pfizer: Consultancy; Novartis Pharmaceutical Corporation: Consultancy. Luger:Daiichi-Sankyo: Honoraria; Pfizer: Honoraria; Bristol-Myers Squibb: Honoraria; Acceleron: Honoraria; Agios: Honoraria; Loxo Oncology: Honoraria; Onconova: Research Funding; Kura: Research Funding; Biosight: Research Funding; Ariad: Research Funding; Hoffman La Roche: Research Funding. Levine:Novartis: Consultancy; Loxo: Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees; Morphosys: Consultancy; Astellas: Consultancy; Janssen: Consultancy; Prelude Therapeutics: Research Funding; Amgen: Honoraria; Gilead: Honoraria; Lilly: Consultancy, Honoraria; Qiagen: Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Imago: Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees; C4 Therapeutics: Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees; Isoplexis: Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria, Research Funding. Cooper:Celgene: Other: Spouse was an employee of Celgene (through August 2019).

Introduction. Myeloid leukemia in children with Down syndrome (ML-DS) is a unique subtype of acute myeloid leukemia, distinguished by an earlier age of onset (under 4 years of age); somatic mutations of GATA1; hypersensitivity of leukemic blasts to cytarabine and other chemotherapeutic agents; lack of CNS involvement; and superior event-free survival (EFS, 85-90% at 5 years). Due to these excellent outcomes, successive protocols by the Children's Oncology Group (COG) have aimed for a reduction of treatment intensity but continue to include a course containing high-dose cytarabine (HD-AraC) for all patients, which is associated with the bulk of infectious toxicity. COG AAML1531 is the first study to evaluate differential treatment for ML-DS patients based on risk-stratification. We report the outcomes for patients with Standard Risk (SR) ML-DS enrolled on AAML1531, who were treated without inclusion of HD-AraC (https://clinicaltrials.gov/ct2/show/NCT02521493?term=AAML1531&rank=1). Methods. Patients older than 90 days and younger than 4 years of age with ML-DS were eligible, including those presenting with myelodysplastic syndrome (< 20% blasts in the bone marrow) and trisomy 21 mosaicism. Pathological and cytogenetic data were reviewed centrally. All patients received the same first course of induction therapy (cytarabine 200 mg/m2/24h IV as continuous infusion, day 1-4; daunorubicin 20 mg/m2IV, day 1-4; thioguanine 50 mg/m2/dose PO twice daily, day 1-4; and a single dose of age-based intrathecal cytarabine on day 1). After this first course, measureable residual disease (MRD) in the bone marrow by multi-dimensional flow cytometry in a reference laboratory was used for risk stratification. Patients with negative MRD (<0.05%) were assigned to Standard Risk (SR) therapy, which was modeled after the AAML0431 predecessor study, but with further reduction of treatment by omission of the course containing HD-AraC/E. coli asparaginase (Induction II of AAML0431). Courses #2 and #3 of SR therapy were identical to the first course except that no further intrathecal chemotherapy was administered. Courses #4 and #5 (cytarabine 100 mg/m2/24h IV as continuous infusion day 1-7; etoposide 125 mg/m2 IV, day 1-3) were identical to the corresponding courses of AAML0431. For patients younger than 36 months, chemotherapy doses were calculated based on weight. Use of dexrazoxane during anthracycline-containing courses was at the discretion of the treating center but was captured by the data collection of the study. Patients with positive MRD (>0.05%) after the first course were assigned to the High Risk (HR) Arm and received intensified therapy (equivalent to that used for non-DS AML). Accrual to the HR arm is ongoing. Results. Interim analysis of SR therapy was performed after 50% of expected EFS events had occurred as of June 30, 2018. The observed EFS was 89.3 +/- 6.1% at 2 years from study entry and significantly lower than expected for comparable MRD-negative patients whose treatment in predecessor study AAML0431 included a course of HD-AraC/E. coliasparaginase (p=0.0002). OS at 2 years was 88.7 +/- 6.8%. Among a total of 114 SR ML-DS patients, 11 developed a relapse, all within the first year from study entry (range 136-327 days). OS at 1 year from relapse was 9.1 +/- 17.3%. Based on the results of interim analysis, the SR arm of AAML1531 was closed to accrual due to lack of efficacy. Cytogenetic analysis showed that complex karyotypes (defined as >3 independent abnormalities including >1 structural one) were significantly more frequent in SR patients who relapsed (40%, n=10) compared to SR patients who did not (9%; n=100; p=0.017). The most common abnormalities were trisomies (61% of cases) of chromosomes 3 and 8, and a gain of a fourth copy of chromosome 21. Monosomy 7 was present in 20% of relapsed vs. 5% of patients without a relapse (p=0.122). Conclusions. MRD measured by multi-dimensional flow cytometry is insufficient to identify a subset of ML-DS patients for whom HD-AraC/E.coliasparaginase can be eliminated from treatment. Cytogenetic profiling may aid in further refining risk-based subsets of ML-DS patients. Additional approaches to risk stratification of ML-DS should be pursued, which take into account the emerging genetic events that co-operate with mutant GATA1 in the development of ML-DS. At this time, HD-AraC/E.coli asparaginase should be included in the treatment of ML-DS, regardless of MRD. Disclosures Druley: Washington University: Employment; ArcherDX Inc.: Employment, Equity Ownership. Loken:Hematologics, Inc: Employment, Equity Ownership. Eidenschink Brodersen:Hematologics, Inc: Employment.

Key PointsDNA methylation changes during the development of DS-AMKL occur in sequential waves of opposing losses and gains of methylation. Each wave of DNA methylation abnormalities targets specific gene networks that contribute to distinct biological features of the disease.