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Record W3097378247 · doi:10.1182/blood-2020-136922

Molecular Characterization of Clinical Response and Relapse in Patients with <i>IDH1</i>-Mutant Newly Diagnosed Acute Myeloid Leukemia Treated with Ivosidenib and Azacitidine

2020· article· en· W3097378247 on OpenAlexaff
Scott R. Daigle, Sung Choe, Courtney D. DiNardo, Anthony S. Stein, Eytan M. Stein, Amir T. Fathi, Olga Frankfurt, Andre C. Schuh, Hartmut Döhner, Giovanni Martinelli, Prapti A. Patel, Emmanuel Raffoux, Peter Tan, Amer M. Zeidan, Stéphane de Botton, Richard M. Stone, Mark G. Frattini, Aleksandra Franovic, Emily Xu, Thomas Winkler, Bin Wu, Paresh Vyas

Bibliographic record

VenueBlood · 2020
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsMedicineMyeloid leukemiaInternal medicineIDH1AzacitidineGastroenterologyIsocitrate dehydrogenaseMyeloidRefractory (planetary science)OncologyBiologyMutant

Abstract

fetched live from OpenAlex

Background: Acute myeloid leukemia (AML), a hematologic malignancy characterized by clonal expansion of abnormal myeloid progenitors, is a disease exhibiting a dynamic mutational landscape over time. Somatic mutations in isocitrate dehydrogenase 1 (IDH1) are reported in 6-10% of patients (pts) with AML. Ivosidenib (IVO) is an oral, potent, targeted inhibitor of mutant IDH1 (mIDH1) and is FDA-approved for the treatment of mIDH1 relapsed/refractory (R/R) AML and newly diagnosed (ND) AML in adults ≥ 75 years (yrs) of age or with comorbidities precluding intensive induction chemotherapy (IC). In an ongoing phase 1b study (NCT02677922), 23 pts (11 male; median age 76 yrs [range 61-88]) with mIDH1 ND AML received IVO 500 mg daily and subcutaneous azacitidine (AZA) 75 mg/m2 on Days 1-7 in 28-day cycles. As of 19Feb2019, median number of treatment cycles was 15 (range 1-30); 10 pts remained on treatment. Overall response rate (complete remission [CR] + CRi [incomplete neutrophil recovery] + CRp [incomplete platelet recovery] + morphologic leukemia-free state [MLFS]) was 78% (18/23): including CR in 61% (14/23) and CR with partial hematologic recovery (CRh) in 9% (2/23). mIDH1 clearance assessed in bone marrow mononuclear cells (BMMCs) by BEAMing digital PCR (detection limit 0.02-0.04%) was observed in 11/16 pts (69%) with CR/CRh, including 10/14 (71%) with CR. Aim: Characterize clonal evolution and resistance in pts with mIDH1 ND AML treated on study with IVO + AZA. Methods: The secondary efficacy endpoint of CRh was sponsor derived and defined as CR with absolute neutrophil count > 0.5 X 109/L and platelets > 50 X 109/L. Bulk DNA sequencing (DNA-seq, 1400-gene ACE Extended Cancer Panel, 2% variant allele detection limit) was performed on BMMCs and/or peripheral blood mononuclear cells (PBMCs). Single-cell (sc) targeted DNA-seq was performed on PBMCs using a microfluidic platform (Tapestri®) with a 20-gene AML panel capable of detecting rare subclones down to 0.1%. Results: To identify mechanisms of acquired resistance, longitudinal bulk DNA-seq was analyzed for 22/23 pts, including 5 pts with available samples at relapse or disease progression (3 CR and 1 MLFS with morphological relapse; 1 CRh with disease progression). Mutations not detected at baseline but emerging during therapy were categorized into canonical biological pathways (Table). Emerging mutations were observed in 9/22 (41%) pts, including 4 with multiple mutations. 3/22 (14%) pts had emerging IDH2 mutations, with concurrent rise in plasma 2-hydroxyglutarate (2-HG) levels. Within the relapse/progression cases, emerging mutations were observed in 4/5 pts, including 3 where the emerging mutation appeared to be the predominant mutation at relapse/progression (2 CR pts with IDH2 mutations, and 1 CRh pt with a TET2 mutation). To date, from the bulk DNA-seq analysis, no emergence of an IDH1 second-site or receptor tyrosine kinase pathway (FLT3, KRAS, NRAS, PTPN11) mutation has been observed. To further evaluate clonal evolution of clinical response and disease progression, scDNA-seq was performed, with data available for 15 pts (10 CR, 2 CRh, 1 MLFS, and 2 stable disease), including end-of-study time points for 5 relapse/progression pts. In the 2 relapsed pts with an emerging IDH2 mutation observed by bulk DNA-seq, 1 had a minor IDH2 clone present at baseline that expanded independently from IDH1 during therapy (Fig). In a separate case, a subclonal baseline PTPN11 clone evolved to gain both RUNX1 and IDH2 mutations, becoming the predominant clone at relapse. In 2 other cases, scDNA-seq data showed that non-IDH1 clones were selected from baseline clones ancestral (TP53 n = 1) to or emerged separate from mIDH1 (TET2 n = 1). Clonal architecture and evolution from additional pts will be presented. Conclusion: IVO + AZA combination treatment in IC-ineligible ND AML led to deep and durable molecular remissions. Although the dataset is small, IDH2 clones appeared to expand or emerge separate from the IDH1 clone, with no observation of an IDH1 second-site mutation to date. Understanding patterns of emerging mutations/pathways at relapse will allow for comparison with mIDH1 R/R AML and ND AML pts treated with IVO monotherapy. These results underline the importance of mutational testing, particularly at progression to determine optimal salvage therapy. Potential combination or sequential therapies should be evaluated prospectively in future clinical trials. Disclosures Daigle: Agios: Current Employment, Current equity holder in private company. Choe:Agios Pharmaceuticals: Current Employment, Current equity holder in private company. DiNardo:Syros: Honoraria; MedImmune: Honoraria; Notable Labs: Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria; Jazz: Honoraria; Celgene: Consultancy, Honoraria, Research Funding; Agios: Consultancy, Honoraria, Research Funding; Novartis: Consultancy; Daiichi Sankyo: Consultancy, Honoraria, Research Funding; ImmuneOnc: Honoraria; AbbVie: Consultancy, Honoraria, Research Funding; Calithera: Research Funding. Stein:Stemline: Consultancy, Speakers Bureau; Amgen: Consultancy, Speakers Bureau. Stein:Astellas Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Daiichi-Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Agios Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Syros: Membership on an entity's Board of Directors or advisory committees; PTC Therapeutics: Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Biotheryx: Consultancy; Bayer: Research Funding; Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees; Syndax: Consultancy, Research Funding; Seattle Genetics: Consultancy; Abbvie: Consultancy; Amgen: Consultancy; Celgene Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Fathi:Amphivena: Consultancy, Honoraria; Agios: Consultancy, Research Funding; Forty Seven: Consultancy; Daiichi Sankyo: Consultancy; Celgene: Consultancy, Research Funding; Astellas: Consultancy; Takeda: Consultancy; PTC Therapeutics: Consultancy; Novartis: Consultancy; NewLink Genetics: Consultancy, Honoraria; Kite: Consultancy, Honoraria; Jazz: Consultancy, Honoraria; TrovaGene: Consultancy; Amgen: Consultancy; Bristol-Myers Squibb: Consultancy, Research Funding; Blue Print Oncology: Consultancy; Boston Biomedical: Consultancy; Kura: Consultancy; Pfizer: Consultancy; Seattle Genetics: Consultancy, Research Funding; Trillium: Consultancy; AbbVie: Consultancy. Döhner:Pfizer: Research Funding; Sunesis: Other, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Astex: Consultancy, Honoraria; Jazz: Consultancy, Honoraria, Research Funding; Janssen: Consultancy, Honoraria; AbbVie: Consultancy, Honoraria; Agios: Consultancy, Honoraria; Novartis: Consultancy, Honoraria, Research Funding; Seattle Genetics: Consultancy, Honoraria; Arog: Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Oxford Biomedicals: Consultancy, Honoraria; Astellas: Consultancy, Honoraria; Roche: Consultancy, Honoraria; Helsinn: Consultancy, Honoraria; Bristol-Myers Squibb: Research Funding. Martinelli:Celgene: Consultancy, Speakers Bureau; Jazz: Consultancy; Incyte: Consultancy; Pfizer: Consultancy, Research Funding, Speakers Bureau; Daichii Sankyo: Consultancy, Research Funding; Janssen: Consultancy; Amgen: Consultancy; AbbVie: Consultancy, Research Funding; Roche: Consultancy. Patel:France Foundation: Honoraria; DAVA Pharmaceuticals: Honoraria; Celgene: Consultancy, Speakers Bureau; Agios: Consultancy. Tan:AbbVie: Other: Investigator on an AbbVie funded clinical trial; Agios: Research Funding; Janssen: Research Funding; NOHLA Therapeutics: Research Funding; Novartis: Other, Research Funding. Zeidan:Astellas: Consultancy, Honoraria; Taiho: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; BeyondSpring: Consultancy, Honoraria; Epizyme: Consultancy, Honoraria; Ionis: Consultancy, Honoraria; Agios: Consultancy, Honoraria; Trovagene: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding; Acceleron: Consultancy, Honoraria; Celgene / BMS: Consultancy, Honoraria, Research Funding; Daiichi Sankyo: Consultancy, Honoraria; Cardinal Health: Consultancy, Honoraria; Jazz: Consultancy, Honoraria; Aprea: Research Funding; MedImmune/Astrazeneca: Research Funding; ADC Therapeutics: Research Funding; Cardiff Oncology: Consultancy, Honoraria, Other; Takeda: Consultancy, Honoraria, Research Funding; Astex: Research Funding; Boehringer-Ingelheim: Consultancy, Honoraria, Research Funding; Incyte: Consultancy, Honoraria, Research Funding; Leukemia and Lymphoma Society: Other; CCITLA: Other; Otsuka: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria, Research Funding. De Botton:Forma Therapeutics: Honoraria, Research Funding; Astellas: Consultancy, Honoraria; Daiichi Sankyo: Consultancy, Honoraria; Syros: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Agios: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Speakers Bureau; Pfizer: Consultancy; Novartis: Consultancy; Pierre Fabre: Consultancy; Janssen: Consultancy, Honoraria; Seattle Genetics: Honoraria; Bayer: Consultancy, Honoraria; Servier: Consultancy. Stone:Syntrix: Consultancy; Macrogenics: Consultancy;

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.263
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations1
Published2020
Admission routes1
Has abstractyes

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