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Enregistrement W2913397271 · doi:10.1182/blood-2018-99-110934

Glasdegib in Addition to Intensive or Non-Intensive Chemotherapy in Patients with Acute Myeloid Leukemia: Safety Analysis of Glasdegib 'On Target' Adverse Events

2018· article· en· W2913397271 sur OpenAlexaff
Jörge E. Cortes, Cristina Papayannidis, Catriona Jamieson, Gary J. Schiller, Anna Candoni, Brian Leber, Claudia D. Baldus, José Antonio Pérez‐Simón, Weidong Wendy, Corrado Gallo Stampino, Ashleigh O’Connell, Mirjana Zeremski, Geoffrey Chan, Mikkael A. Sekeres

Notice bibliographique

RevueBlood · 2018
Typearticle
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueHedgehog Signaling Pathway Studies
Établissements canadiensPfizer (Canada)Juravinski Hospital
Organismes subventionnairesnon disponible
Mots-clésMedicineCytarabineInternal medicineAdverse effectMyeloid leukemiaOncologyIntensive careDysgeusiaTolerabilitySmoothenedIntensive care medicineHedgehog

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Novel agents are frequently added to standard acute myeloid leukemia (AML) treatment backbones yet it is unclear how much additional toxicity this introduces, with the potential for adverse events (AEs) to be caused by the backbone chemotherapy or the disease itself. Glasdegib (PF-04449913) is an investigational, oral small molecule inhibitor of the Hedgehog (Hh) pathway component Smoothened (SMO), currently in clinical development for AML treatment. In a Phase 2 randomized study, addition of glasdegib to low-dose cytarabine (LDAC) improved overall survival (OS) vs LDAC alone and combination therapy was generally well tolerated with minor differences in AE rates vs chemotherapy alone. Here, we analyzed specific 'on target' AEs consistent with inhibition of the SMO component of the Hh pathway to assess impact on overall toxicity. Methods: We pooled safety data from both portions of a Phase 1b + Phase 2 multicenter study (NCT01546038), including AML patients assigned to glasdegib 100 mg QD with LDAC (non-intensive treatment) or with cytarabine/daunorubicin on a 7+3 schedule (intensive treatment) (figure 1). We assessed 'on target' all-causality treatment-emergent AEs of muscle spasms, alopecia, and dysgeusia. We also compared AE onset in defined study time-periods (non-intensive: 0-6, 6-12, or >12 months; intensive: induction, consolidation, maintenance); defining long-term treatment as >12 months for non-intensive and maintenance for intensive. Results: Across studies, 93 patients were enrolled in the non-intensive group and 80 in the intensive group. Here, we focused on patients treated with glasdegib: 89 patients in the non-intensive group and 78 in the intensive group. Table 1 shows baseline characteristics; median treatment duration was 69 days (range 3-1280) and 51 days (10-539), respectively. Rates of treatment discontinuation due to all AEs (inclusive of 'on target' and others), deemed by the investigator to be related to study drug (glasdegib and/or backbone chemotherapy) were similar (non-intensive, 10 patients [11.2%]; intensive, 15 patients [19.2%]). Frequency of muscle spasms was similar for the 2 groups; observed in 19 of the non-intensive group (21.3%) and 18 (23.1%) of the intensive group (table 1), with few grade 3 events (non-intensive 4.5%; intensive 1.3%), and the number of patients who developed muscle spasms (nearly all grade 1) when exposed to long-term treatment was small (4 non-intensive patients; 7 intensive patients) with no cases of rhabdomyolysis. Alopecia was reported for 8 (9.0%) of the non-intensive group and 16 (20.5%) of the intensive group (table 1). Alopecia had earlier time to onset in the intensive arm than in the non-intensive arm (table 1), likely reflecting the concomitant chemotherapy. Alopecia was less frequent during glasdegib maintenance monotherapy (5.3%) in the intensive arm than when given with 7+3 (16.7%). Dysgeusia was similar for the 2 groups, observed in 22 of the non-intensive group (24.7%) and 24 (30.8%) of the intensive group (table 1). For both groups, dysgeusia had similar time to onset and was less common during long-term treatment. The number of patients having a dose modification as a consequence of class-related AEs was low (for non-intensive and intensive, respectively: dose reduction, 5.6% and 2.6%; temporary discontinuation, 4.5% and 2.6%; permanent discontinuation, 1.1% and 2.6%). Conclusions: Glasdegib 'on target' AEs of muscle spasms, alopecia, and dysgeusia were mainly of mild severity, had infrequent dose modifications or permanent discontinuations, and did not appear to impair tolerability of combination treatment. In comparison, muscle spasms and dysgeusia occurred in ≤5% for the LDAC alone arm, and no alopecia was reported. Although muscle spasms and dysgeusia occurred with similar frequency, dysgeusia occurred earlier, for a shorter duration, and was more persistent at the time of discontinuation compared with muscle spasms. Similar safety profiles were observed when combining glasdegib with LDAC or 7+3, suggesting that glasdegib in combination with standard chemotherapy has a manageable safety profile and thus can be an acceptable combination partner in the treatment of AML. Our results are consistent with previously reported safety outcomes for glasdegib as monotherapy in hematologic malignancies. Clinical trials of glasdegib in combination with other standard of care AML agents are ongoing. Disclosures Cortes: Novartis: Consultancy, Research Funding; Astellas Pharma: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Daiichi Sankyo: Consultancy, Research Funding; Arog: Research Funding. Schiller:Pharmacyclics: Research Funding; Celator/Jazz Pharmaceuticals: Research Funding. Candoni:Pfizer: Honoraria, Speakers Bureau; Celgene: Honoraria, Speakers Bureau; Janssen: Honoraria, Speakers Bureau; Gilead: Honoraria, Speakers Bureau; Merck SD: Honoraria, Speakers Bureau. Leber:Pfizer Inc: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Otsuko: 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; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees. Ma:Pfizer Inc: Employment, Equity Ownership. Gallo Stampino:Pfizer Inc: Employment, Equity Ownership. O'Connell:Pfizer Inc: Employment, Equity Ownership. Zeremski:Pfizer Inc: Employment, Equity Ownership. Chan:Pfizer: Employment, Equity Ownership. Sekeres:Celgene: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,101
Score d'incertitude au seuil0,859

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
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)0,0000,000

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 Opus0,006
Tête enseignante GPT0,235
Écart entre enseignants0,228 · 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 tête enseignante, 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

Citations5
Publié2018
Routes d'admission1
Résumé présentoui

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