MétaCan
Menu
Retour à la cohorte
Enregistrement W3095490154 · doi:10.1182/blood-2020-142990

CPX351 Has Short Remission Duration but Is an Effective Bridge to Allogeneic Transplant in High Risk AML: Results from Canadian Real-World Multi-Centre Study

2020· article· en· W3095490154 sur OpenAlexaffabout
Claire Andrews, Taylor Young, Eshetu G. Atenafu, Sarit Assouline, Joseph Brandwein, Steven M. Chan, Signy Chow, Dina Khalaf, Vikas Gupta, Dennis Dong Hwan Kim, Dawn Maze, Mark D. Minden, Caroline McNamara, Tracy Murphy, David Sanford, Aaron D. Schimmer, Andre C. Schuh, Karen Yee, Hassan Sibai

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensUniversity of British ColumbiaMcMaster UniversityJuravinski Cancer CentreSunnybrook Health Science CentreUniversity of AlbertaJewish General HospitalPrincess Margaret Cancer CentreMcGill UniversityUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineCytarabineOncologyMyeloid leukemia

Résumé

récupéré en direct d'OpenAlex

Background and objectives: CPX-351 is a liposomal formulation of daunorubicin and cytarabine in a fixed synergistic ratio of 5:1. It has been approved by both the FDA and EMA for use in high risk AML including therapy related AML (t-AML) and AML with myelodysplastic related change (AML-MRC). When compared with '3+7', CPX-351 resulted in superior OS (9.56 vs 5.96 months) and overall response rate (47.7% v 33.3%; P = .016; Lancet JCO 2018). However, this is little data of CPX-351 in a real world setting. The primary objective of our multi-centre study was to assess outcomes and associated toxicities of CPX-351 in these high risk AML patients. Methods: Patients aged 18 and over who were treated with CPX-351 and who met the WHO criteria for t-AML and AML-MRC were included in the study. Retrospective data was collected from 6 centres throughout Canada. Targeted sequencing was performed on DNA samples using the TruSight Myeloid Sequencing Panel isolated from peripheral blood or bone marrow samples at diagnosis. Overall survival (OS) and progression free survival (PFS) rates were calculated using the Kaplan-Meier method. Results: Fifty patients treated with CPX-351 were identified from six centres. Baseline characteristics are seen in Table 1. Cytogenetics was available in 45 (90%) patients and an abnormal karyotype was seen in 30 (60%) patients. Monosomal (33%) and complex (28%) karyotype were the most common chromosomal abnormalities seen. Targeted sequencing was performed on 64% patients (32/50) and the average number of mutations was 2(0-7). RUNX1 was the most commonly mutated gene found in 22% (7/32), followed by SRSF2 in 19% (6/32) with ASXL1 and NRAS both at 16% (5/32). Other commonly mutated genes were NPM1, IDH2, DNMT3a and TP53 all occurred at a frequency of 12% (4/32). Of the 10 patients (20%) that were FLT3 mutated (80% ITD and 20% TKD), 5 patients received the FLT3 inhibitor midostaurin in combination with CPX-351. Assessing treatment responses, 50% (25/50) of patients achieved a complete remission (CR) or a complete remission with incomplete recovery (CRi). Median neutrophil recovery (≥500/μl) was 32 days (range 18-68) and median platelet recovery (≥50 000/μl) was 34 days (range 19-70). Proven or probable fungal infection was seen in 10 (20%) patients. 30 day mortality was 4% (2/50) and 60-day mortality was 10% (5/50). The median CR duration was short at 7.17 months. Of the 25 patients who did not achieve a CR, 6 (24%) had prior azacitidine use for MDS suggesting CPX-351 may not have activity in this group of patients. Median follow up was 7.43 months (range 0.2 to 18 months). OS was 44% at 12 months (0.28-0.58 95% CI) and 29% at 18 months (Fig 1; 0.13-0.46 95% CI). PFS was 28% at 12 months (0.15-0.43 95% CI) and 18% at 18 months (0.06-0.39 95% CI). There were no differences in OS when stratified by ELN risk (p=0.25), adverse risk cytogenetics (p=0.1485), or poor risk mutations such as FLT3-ITD (p=0.29), RUNX1 (p=0.123) or ASXL1 (p=0.06). This is consistent with previous studies, which suggest that CPX-351 overcomes the poor prognosis associated with these mutations. 18 (36%) patients received an allogeneic stem cell transplant (ASCT) in CR1. Patients who received a allogeneic transplant had significant improvement of OS of 62% at 18 months compared to those who did not receive a transplant of 14.5% at 18 months (Fig 2; p=0.0008). Conclusion Our study reveals that CPX-351 produces high remission rates in patients with AML with a similar efficacy and toxicity profile seen in the Phase 3 trial data (Lancet JCO 2018). However, response rates are short and therefore CPX-351 is most effective when used as a bridge for allogeneic stem cell transplantation in this high risk population. Disclosures Assouline: AbbVie: Consultancy, Honoraria, Speakers Bureau; Pfizer: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Speakers Bureau; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria, Speakers Bureau; Takeda: Research Funding; BeiGene: Consultancy, Honoraria, Research Funding. Brandwein:Celgene: Honoraria; Astellas: Honoraria; Taiho: Honoraria; Roche: Honoraria; Jazz Pharmaceuticals: Honoraria; Pfizer: Honoraria; Amgen: Honoraria. Gupta:Sierra Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Incyte: Honoraria, Research Funding; Bristol MyersSquibb: Honoraria, Membership on an entity's Board of Directors or advisory committees. Maze:Pfizer: Consultancy; Takeda: Research Funding; Novartis: Honoraria. McNamara:Novartis: Honoraria. Sanford:Astellas: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees. Schimmer:Medivir AB: Research Funding; AbbVie Pharmaceuticals: Other: owns stock ; Takeda: Honoraria, Research Funding; Novartis: Honoraria; Jazz: Honoraria; Otsuka: Honoraria.

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 machine sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,759
Score d'incertitude au seuil0,480

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,042
Tête enseignante GPT0,299
Écart entre enseignants0,257 · 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 source (Gemma direct ou Codex distillé), 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
Publié2020
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueBloodMême sujetAcute Myeloid Leukemia ResearchTravaux en français237 207