Venetoclax Therapy in a Heavily Treated Cohort of Patients with Relapsed or Refractory Acute Myeloid Leukemia: Update of the Pethema Registry Experience
Notice bibliographique
Résumé
Abstract Introduction The prognosis of patients with relapsed or refractory acute myeloid leukemia (RR-AML) is very poor, and treatment options are very limited. The exciting results of venetoclax (VEN) in untreated AML have led to its off-label use in RR-AML. However, evidence in RR-AML is still scarce and the available data are mostly from retrospective and single-center studies. The aim of our study was to analyze the effectiveness of VEN use in patients with RR-AML reported to the PETHEMA AML epidemiological registry. Initial results were presented previously (Labrador J, et al. ASH 2020). Here, we report an updated analysis. Methods We conducted a retrospective, multicenter, observational study of a cohort of patients with AML-RR who were treated with venetoclax in the hospitals of the PETHEMA group. We evaluated efficacy, CR/CRi rate and overall survival (OS). We performed a descriptive analysis. Overall survival (OS) was calculated using the Kaplan-Meier method. Results Fifty-one patients were included, 33 men and 18 women, with a median age of 68 years (25-82). The main characteristics of the included patients are shown in Table 1. With a median follow-up of 167 days, 10/51 patients (19%) continued to receive VEN at the time of analyses. Patients received a median of 2 cycles (0-8). VEN was administered with azacitidine (AZA) in 59%, with decitabine (DEC) in 29% and with low-dose cytarabine (LDAC) in 12% of patients, respectively. The CR/CRi and partial response (PR) rates were 12.4% and 10.4%, respectively. The CR/RCi and overall response (ORR, CR/CRi+PR) was higher in patients receiving VEN+AZA (17.9% and 32.1%) than in those receiving DEC + VEN (6.7% and 13.3%) or LDAC + VEN (0%). The presence of NPM1 or CEBPA variants were the only two variables associated with increased CR/CRi with VEN in RR-AML. Median OS was 104 days (95% CI: 56 - 151) (Figure 1A), 120 days in combination with AZA, 104 days with DEC, and 69 days with LDAC; p=0.875. Treatment response (Figure 1B) and ECOG 0 were the only variables that influenced OS in a multivariate model adjusted for age and sex (Table 2). VEN-resistant patients who received subsequent salvage therapy had superior median OS (98 vs. 5 days, p=0.004).Twenty-eight percent of patients required discontinuation of VEN due to toxicity. Sixty-one percent of patients required admission, mainly due to infections (45%), 10% due to bleeding and other causes in 12%. One case of tumor lysis syndrome was described. Conclusions Our real-life series depicts a marginal probability of CR/CRi and poor OS after venetoclax-based salvage. Patients treated with this regimen had very poor-risk features, and were heavily pre-treated, which could explain in part the observed poor outcomes. Although follow-up is still short, the small proportion of responders did not reach the median OS. Further studies will help to identify those patients potentially benefiting from venetoclax-based salvage regimens. Figure 1 Figure 1. Disclosures Belén Vidriales: Roche: Consultancy; Novartis: Speakers Bureau; Astellas: Consultancy, Speakers Bureau; Jazz: Consultancy, Speakers Bureau. Pérez-Encinas: Janssen: Consultancy. Tormo: Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Montesinos: Pfizer: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Glycomimetics: Consultancy; Novartis: 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; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Incyte: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Daiichi Sankyo: Consultancy, 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; Forma Therapeutics: Consultancy; Sanofi: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Teva: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Stemline/Menarini: Consultancy; Tolero Pharmaceutical: Consultancy; Agios: Consultancy; AbbVie: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Astellas Pharma, Inc.: Consultancy, Honoraria, Other: Advisory board, Research Funding, Speakers Bureau. OffLabel Disclosure: Venetoclax for Patients with Relapsed or Refractory Acute Myeloid Leukemia
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».