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Enregistrement W3212940473 · doi:10.1182/blood-2021-144912

Molecular Characteristics of Response to Olutasidenib (FT-2102) in Patients with Relapsed/Refractory mIDH1 Acute Myeloid Leukemia

2021· article· en· W3212940473 sur OpenAlexaff
Stéphane de Botton, Karen Yee, Christian Récher, Andrew H. Wei, Pau Montesinos, David Taussig, Arnaud Pigneux, Thorsten Braun, Antonio Curti, Jordi Esteve, Carolyn Grove, Brian A. Jonas, Asim Khwaja, Olivier Legrand, Pierre Péterlin, Montserrat Arnán Sangerman, William Blum, Daniela Cilloni, Devendra Hiwase, Joseph G. Jurcic, Jürgen Krauter, Xavier Thomas, Justin M. Watts, Jay Yang, Zihao Xin, Alex Sedkov, Sylvie M. Guichard, Jennifer Sweeney, Christophe Marzac, Jörge E. Cortes, Pierre Fenaux

Notice bibliographique

RevueBlood · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineInterim analysisClinical endpointPopulationRefractory (planetary science)Phases of clinical researchGastroenterologyMyeloid leukemiaSurrogate endpointClinical trialBiology

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Olutasidenib is a potent, selective, oral, small molecule inhibitor of mutant IDH1 (mIDH1). Olutasidenib has previously shown clinical activity in high-risk AML patients (pts) in a Phase 1 clinical trial (Watts, Blood 2019). The planned interim analysis of an ongoing Phase 2 clinical trial (NCT02719574) in R/R mIDH1 AML pts receiving single-agent olutasidenib 150 mg twice-daily showed an overall response rate (ORR) of 46%, including 33% of pts with CR/CRh (de Botton et al., ASCO/EHA 2021). Here we present data analysis on the mutational characteristics of these pts and the relationship between mutations and clinical response. Methods: The Efficacy Evaluable (EE) set comprised mIDH1R132X pts whose first dose was ≥180 days before the data cut-off (18-JUN-20). The primary endpoint was CR/CRh (complete remission [CR] according to modified IWG 2003 criteria plus CR with partial hematologic recovery [CRh]) response rate. CRh was defined as bone marrow blasts <5%, absolute neutrophil count >0.5×10 9/L, and platelet count >50×10 9/L. ORR, a secondary endpoint, comprised CR+CRh+CR with incomplete recovery (CRi) + morphologic leukemia-free state (MLFS) + partial remission (PR). IDH1 mutation subtypes were determined by central analysis, co-mutations were reported by investigators. Baseline characteristics and mutation subtypes were tabulated for the safety population and analysis of response rate by mutation type was performed on the EE set. Results: There were 153 R/R AML pts treated with olutasidenib 150 mg BID (safety set). Of those, 123 were in the efficacy evaluable (EE) set (centrally confirmed IDH1R132 mutation and received first dose at least 180 days prior to the data cut off). For the safety population, cytogenetic risk classification was favorable in 6 (4%) pts, intermediate in 109 (71%) pts, and poor in 25 (16%) pts (unknown, 13 [8%] pts). Eighty-five (56%) pts had IDH1R132C mutation subtype, followed by IDH1R132H (n=35 [23%]), IDH1R132G (n=12 [8%]), IDH1R132S (n=11 [7%]), and IDH1R132L (n=4 [3%]). Ninety-four (61%) pts had 1-3 co-mutations reported by the investigator at baseline, with 4-7 co-mutations in 20 (13%) pts, none in 6 (4%) pts, and not done/unknown in 33 (22%) pts. The most common co-mutations at baseline were: NPM1 (n=40 [26%]), DNMT3A (n=36 [24%]), and ASXL1 (n=21 [14%]. Receptor tyrosine kinase (RTK) mutations were reported in 32 (21%) pts (FLT3, n=18 [12%]; NRAS, n=10 [7%]; KRAS, n=3 [2%]; PTPN11, n=3 [2%]; KIT, n=2 [1%]; NF1, n=2 [1%]), with multiple mutations reported in some pts. For the EE population, responses were achieved in all IDH1R132 mutation subtypes, with ORR and CR/CRh response rates ranging from 27%-54% and 17%-50%, respectively (Table 1). The CR/CRh response rate was lower for pts with IDH1R132H mutations; notably, these pts tended to have a higher percentage of co-mutations, particularly mutations in NPM1 and RTK genes, including FLT3. For EE pts with available co-mutation data (n=96), the mean (SD) number of co-mutations was lower (p<0.05) in pts achieving CR/CRh (1.8 [1.1]; n=29) compared to pts with non-CR/CRh responses or non-responders (2.5 [1.7]; n=67). The ORR was 32%, 48%, and 53% for pts with NPM1, DNMT3A, and ASXL1 mutations, respectively, with corresponding CR/CRh rates of 24%, 34%, and 24% (Figure 1). Pts with RTK mutations at baseline had an ORR of 33% as compared to 46% for pts without any RTK mutation (p=0.26), with fewer pts with RTK mutations achieving CR/CRh than those without any RTK mutation (15% vs. 36%, respectively [p<0.05]). Conclusions: Responses were observed across IDH1R132 mutation subtypes, with a relatively lower CR/CRh response rate for pts with a R132H mutation as compared to other subtypes. Pts with a best response of CR/CRh had fewer co-mutations than pts who did not achieve CR/CRh. While the ORR was not significantly reduced for pts with RTK mutations, these pts had a lower CR/CRh response rate compared to pts without any RTK mutations. Additional genetic analyses using ddPCR for IDH1 mutations and NGS on a targeted panel of genes at baseline, best response, and end of study will be presented to further explore primary and secondary resistance mechanisms. Figure 1 Figure 1. Disclosures De Botton: Celgene, Agios, Forma Therapeutics, Astella, Daiichi Sankyo, Syros, Abbvie, Bayer, Seattle Genetics, Janssen: Honoraria; Celgene, Agios, Astellas, Daiichi Sankyo, Syros, Abbvie, Bayer, Janssen, Pierre Fabre, Novartis, Pfizer, Servier: Consultancy; Celgene: Speakers Bureau; Agios, Forma Therapeutics: Research Funding. Yee: Forma Therapeutics: Research Funding; Onconova: Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; MedImmune: Research Funding; Jazz: Research Funding; Tolero: Research Funding; AbbVie: Honoraria; F. Hoffmann La Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Research Funding; Geron: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees; TaiHo: Membership on an entity's Board of Directors or advisory committees; Shattuck Labs: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Paladin: Membership on an entity's Board of Directors or advisory committees; Otsuka: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb/Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: Research Funding; Astex: Membership on an entity's Board of Directors or advisory committees, Research Funding. Recher: BMS/Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Daiichi Sankyo: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Incyte: Honoraria; Janssen: Honoraria; Jazz: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; MaatPharma: Research Funding; Macrogenics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; 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, Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Astellas: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Agios: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Wei: Gilead: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Celgene/BMS: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees; Genentech: Membership on an entity's Board of Directors or advisory committees; Macrogenics: Membership on an entity's Board of Directors or advisory committees; Agios: Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: 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; Abbvie: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Montesinos: Forma Therapeutics: Consultancy; Daiichi Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Tolero Pharmaceutical: Consultancy; Teva: 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; Incyte: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; 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; Celgene: Consultancy, 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; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Glycomimetics: Consultancy; Stemline/Menarini: Consultancy; Agios: Consultancy; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Astellas Pharma, In

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,008
Tête enseignante GPT0,249
Écart entre enseignants0,241 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2021
Routes d'admission1
Résumé présentoui

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