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Record W4417015698 · doi:10.1182/blood-2025-1658

Real life study of ivosidenib in either monotherapy or combined with azacytidine for first line mutant IDH1 AML: A study from the french AML intergroup ALFA/filo

2025· article· en· W4417015698 on OpenAlexaff
Pierre Péterlin, Maël Heiblig, Stéphane Morisset, Sarah Bertoli, Marie Sébert, Thomas Cluzeau, Corentin Orvain, Pierre‐Yves Dumas, Paolo Musiu, Sylvain Garciaz, Yohan Desbrosses, Gaspar Aspas Requena, Rudy Birsen, Pascal Turlure, Célestine Simand, Adrien Contejean, Célia Salanoubat, Benjamin Carpentier, Ambroise Marçais, Juliette Lambert, Delphine Lebon, Quentin Cabrera, Sarah Bonnet, Kamel Laribi, Anne Banos, Adrien Daniel, Marlène Ochmann, Cécile Pautas, Benjamin Papoular, Jamilé Frayfer, Gian Matteo Pica, Julia Hieulle, Nicolas Vallet, Ariane Mineur, Arnaud Pigneux, Christian Récher, Stéphane de Botton

Bibliographic record

VenueBlood · 2025
Typearticle
Languageen
FieldMedicine
TopicAcute Myeloid Leukemia Research
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsIDH1Adverse effectMyeloid leukemiaRefractory (planetary science)AzacitidineFirst lineAbsolute neutrophil countRetrospective cohort studyMyeloid

Abstract

fetched live from OpenAlex

Abstract Background: IDH1 mutations are found in 6-10% of acute myeloid leukemia (AML) cases. Ivosidenib (IVO), an oral mIDH1 inhibitor, is approved for newly diagnosed mIDH1 AML in patients (pts) aged ≥75 years or unfit for intensive chemotherapy as monotherapy (US), based on the results of the AG120-C-001 study (Roboz, Blood, 2020, median overall survival (mOS) 12.6 months) or with azacitidine (AZA) (US and Europe) based on the results of the AGILE study (Montesinos, NEJM, 2022, mOS 29.3 months). However, data available on IVO+/-AZA in real-life are limited. Method: This retrospective study (IVOOBS, NCT06377579)included pts treated in France between 01/2017 and 02/2024 through a compassionate use program with IVO+/-AZA for mIDH1 AML, front-line or at time of relapse or for a refractory disease. Here we focused only on newly diagnosed pts. The primary objective was OS and secondary objectives included response rate (ELN-2022 criteria) and toxicity. Results: 49 pts from 17 centers were included; 16 (33%) received IVO alone (IVO-mono cohort) and 33 (67%) the combination (IVO+AZA cohort). IVO-mono cohort (n=16) : The median age was 72 yo (IQR: 60 - 83.25), 62.5% were male. Most of the pts were unfit (PS > 2 in 92%) with high-risk disease (secondary AML n=14, including 8 pts who have already received AZA for prior hematologic disease; adverse (adv)-risk according to ELN-2022 classification n=7, 43%, intermediate (int)-risk n= 9, 57%). The median white blood count (WBC) was 2.67 Giga/L. The majority of pts started IVO at the recommended dose of 500 mg/day (d) (n=13, 81%), while 3 started at 250 mg/d (concomitant prescription of azole). Median duration of IVO treatment was short (3.25 months, IQR: 1.6-7.07) as 77% % (n=10) of IVO discontinuations occurred within 4 months (3 allo-HCT, 3 progressions, 2 differentiation syndrome (DS), 1 QT prolongation (QTp), 1 death). Any grades of DS and QTp were reported in 25% (n=4) and 7% (n=1) of pts, respectively, while grade 3-4 hepatic, infection and hematologic adverse events (AE) occurred in 0, 4 and 3 pts, respectively. Two deaths were linked to IVO (DS). Mortality at D30 and D60 was 6% and 25%, respectively. Composite complete remission (CCR) (CR/CRh/CRi) rate was 37% (31%/6%/0%), with no MLFS and 44% of non-responders (19% of pts not assessed (NA)). For pts receiving IVO at 500mg/d, CCR was 46% (38%/8%/0%). At 250mg/d, 2 pts did not respond and 1 was NA. Four pts (3 in CR, 1 in no response) received an allo-HCT after IVO. Among responders (n=6), 1 pt relapsed at 10.8 months. With a median follow-up (mFU) of 4.5 months, mOS was 4.5 months (95% CI: 2.07-not reached (NR)) and 2y OS 31.25% (95% CI: 15.11-64.64). IVO+AZA cohort (n=33): The median age was 78 yo (IQR: 75 – 80), 60% were male. The majority of pts were unfit (PS > 2 in 93%) and classified as int-risk (83%) according to ELN-2022 classification (adv-risk 17%). However, according to ELN-2024 classification, most pts had favourable-risk (n=22, 67%) (adv-risk n=2, NA n=9). The median WBC was 2.15 Giga/L. Nine pts (27%) had a secondary AML. The majority of pts started IVO at the dose of 500 mg/d (n=27, 82%), while 6 pts started at 250 mg/d (concomitant prescription of azole (n=5), previous cardiac history (n=1)). Median number of AZA cycles was 6 (range: 1; 28). Median duration of IVO treatment was 13.1 months (IQR: 8.4-18.4) and 26% (n=5) of IVO discontinuations occurred within 4 months (3 progressions, 2 deaths). Mortality at D30 and D60 was 3% and 9%, respectively. DS was reported in 3 pts (9%) and QTp in 2 (7%), any grades, while grade 3-4 hepatic, infection and hematologic AE occurred in 0, 5 and 8 pts, respectively. No death was linked to IVO. CCR was 73% (55%/12%/6%), 3% showed MLFS, 21% were non-responders and 3% NA. CCR was 78% (56%/15%/7%) and 50% (50%/0%/0%) for those receiving IVO at 500 mg/d and 250mg/d, respectively. Among responders (n=24), only 1 pt was consolidated with an allo-HCT and 8 (33%) relapsed at a median of 11.4 months. At relapse, 4 were treated with AZA+BCL2 inhibitor and 1 obtained CR. With a mFU of 16.6 months, mOS was NR (95% CI: 16.62-NR) and 2y OS 52% (95% CI: 35.55-76.56). Conclusion: This retrospective real-life study shows the reproducibility of the results of the AGILE study (IVO+AZA). Pts receiving IVO mono had poorer outcome compared to those of the AG120-C-001 study, likely because pts were at higher risk. The dose of 500 mg/d should also be preferred questioning the role of azole prophylaxis.

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: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.026
GPT teacher head0.314
Teacher spread0.288 · 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 designNon-randomized trial
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
Published2025
Admission routes1
Has abstractyes

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