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Record 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 on 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

Bibliographic record

VenueBlood · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsPfizer (Canada)Juravinski Hospital
Fundersnot available
KeywordsMedicineCytarabineInternal medicineAdverse effectMyeloid leukemiaOncologyIntensive careDysgeusiaTolerabilitySmoothenedIntensive care medicineHedgehog

Abstract

fetched live from 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.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.101
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

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

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 head0.006
GPT teacher head0.235
Teacher spread0.228 · 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 teacher head, 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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Citations5
Published2018
Admission routes1
Has abstractyes

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