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Record W4417009462 · doi:10.1182/blood-2025-3440

CYP3A4 inhibitors (CYP3A4i) and myelosuppression in patients (Pts) with newly diagnosed mutant isocitrate dehydrogenase 1 (mIDH1) Acute Myeloid Leukemia (AML) in the phase 3 AGILE study

2025· article· en· W4417009462 on OpenAlexaff
Andre C. Schuh, Pau Montesinos, Christian Récher, Michael Heuser, Susana Vives, Ewa Zarzycka, Marta Riva, Rodrigo T. Calado, Su‐Peng Yeh, Courtney D. DiNardo, Mohammad Hossain, Jianan Hui, Diego A. Gianolio, Assaf Vestin, Rui Ding, Prapti Patel, Stéphane de Botton, Hartmut Döhner, Jianxiang Wang

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsPrincess Margaret Cancer Centre
Fundersnot available
KeywordsNeutropeniaFebrile neutropeniaAdverse effectConcomitantCYP3A4VenetoclaxPlaceboPharmacokineticsMyeloid leukemia

Abstract

fetched live from OpenAlex

Abstract Introduction Ivosidenib (IVO) is an oral, targeted, small-molecule inhibitor of mIDH1 approved for the treatment of pts with mIDH1 AML. In the pivotal AGILE study of IVO in combination with azacitidine (AZA) in newly diagnosed AML (NCT03173248), the most common grade ≥3 adverse events (AEs) were hematologic in both the IVO+AZA and placebo (PBO)+AZA arms (Montesinos, NEJM 2022). Antifungal prophylaxis is recommended for pts with AML who are at risk for prolonged and profound neutropenia (Taplitz, JCO 2018). Azoles are CYP3A4i and can increase exposure to AML therapies that are CYP3A4 substrates. For example, venetoclax requires dose reduction when administered concomitantly with CYP3A4i, yet increased exposure and myelosuppression still occur (Kawedia, AJH 2025). IVO is mainly metabolized by and induces CYP3A4, thereby promoting its own metabolism. It is unknown whether concomitant CYP3A4i administration with IVO therapy may increase the risk of myelosuppression. Herein, we analyze myelosuppression events by CYP3A4i use in the AGILE study, as well as the pharmacokinetic (PK) profile of IVO when coadministered with CYP3A4i. Methods Pts with newly diagnosed mIDH1 AML who were ineligible for intensive chemotherapy were enrolled in AGILE. Pts were randomly assigned (1:1) to receive oral IVO 500 mg daily, on 28-day cycles and AZA or PBO+AZA. Pts taking strong CYP3A4 inducers or sensitive CYP3A4 substrates with narrow therapeutic window were excluded; CYP3A4i were allowed with no IVO dose reductions. Pts were grouped on the basis of CYP3A4i category: strong, moderate, or mild-none. AML- and treatment-related myelosuppression were analyzed from enrollment to the data cutoff in June 2022, within each CYP3A4i category. IVO PK was assessed after a single 500-mg dose on cycle 1 day 1 and cycle 2 day 1 (steady state [SS]). Trough concentration (Ctrough) was measured predose on day 8 and 15 of cycle 1, and on day 1 of cycle 3 and beyond; data were summarized by CYP3A4i category. A prior population PK model was used to assess IVO PK, with strong or moderate CYP3A4i included as covariates. Results Overall, 72 pts received IVO+AZA and 74 pts PBO+AZA. In the IVO+AZA group, concomitant CYP3A4i use was 38% (n=27), 28% (n=20), and 35% (n=25) of pts in the strong, moderate, and mild-none categories, respectively; in the PBO+AZA group, 47% (n=35), 23% (n=17), and 30% (n=22) of pts received strong, moderate, and mild-none CYP3A4i. Myelosuppression events of any grade occurred in 54 (75%) pts in the IVO+AZA group and 52 (70%) pts in the PBO+AZA group. Overall, myelosuppression was not impacted by CYP3A4i (strong/moderate/mild-none), occurring in 21 (78%)/15 (75%)/18 (72%) pts in the IVO+AZA group, and in 26 (74%)/12 (71%)/14 (64%) pts in the PBO+AZA group. Anemia and thrombocytopenia rates were overall comparable across CYP3A4i categories and between IVO+AZA and PBO+AZA groups. The rate of grade ≥3 neutropenia was higher in the IVO+AZA group vs PBO+AZA (22 [31%] vs 16 [22%]), mainly due to a higher frequency among pts receiving mild-none CYP3A4i (IVO+AZA: 11 [44%]; PBO+AZA 2 [9%]). Febrile neutropenia rate was lower among pts receiving mild-none CYP3A4i in the IVO+AZA group (2 [8%] vs 11 [41%] for strong and 7 [35%] for moderate); in the PBO+AZA group, febrile neutropenia rates were comparable across CYP3A4i categories (13 [37%]/6 [35%]/6 [27%]). Population PK modeling predicted the AUC of IVO at SS to increase moderately (<2-fold) when coadministered with voriconazole, fluconazole, and posaconazole—by 48.7%, 60.8%, and 58.8%, respectively—compared with IVO alone. A trend toward increased IVO Ctrough at SS was observed with moderate or strong CYP3A4i, consistent with population PK predictions. Conclusions Overall, IVO+AZA administration with concomitant CYP3A4i resulted in similar rates of myelosuppression compared with PBO+AZA, regardless of strength of the CYP3A4i. Neutropenia was more frequent in the IVO+AZA group, particularly among pts receiving mild-none CYP3A4i, possibly due to longer treatment duration in this category. However, low rates of individual AEs limit the ability to draw firm conclusions. IVO exposure was predicted to increase <2-fold when given in combination with moderate/strong CYP3A4i. As concomitant use of CYP3A4i—particularly antifungal azoles—is frequently necessary in pts with AML, the ability to deliver the full dose of IVO without increased risk of myelosuppression is an added benefit of IVO-based therapy.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.282
Teacher spread0.273 · 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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Citations0
Published2025
Admission routes1
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