Efficacy and Safety of Nilotinib in Elderly Patients with Imatinib-Resistant or -;Intolerant Chronic Myeloid Leukemia (CML) in Chronic Phase (CP): A Sub-Analysis of the ENACT (Expanding Nilotinib Access in Clinical Trials) Study.
Notice bibliographique
Résumé
Abstract Abstract 3286 Poster Board III-1 Introduction: Nilotinib, a potent and highly selective BCR-ABL kinase inhibitor, is approved for the treatment of patients (pts) with Philadelphia chromosome-positive chronic myelogeneous leukemia (Ph+ CML) in chronic phase (CML-CP) and accelerated phase (CML-AP) who are resistant or intolerant to prior therapy including imatinib. The ENACT study is a Phase IIIb, open-label, multicenter study that evaluated the efficacy and safety of nilotinib in adult pts with imatinib-resistant or intolerant CML in a clinical practice setting outside of a registration program. It is the largest single source of efficacy and safety information of any available tyrosine kinase inhibitor (TKI) in CML, particularly among the elderly. Methods: The present is a sub-analysis of the ENACT study on the efficacy and safety of 400 mg twice daily nilotinib in elderly (aged =60 years) pts initiating treatment in CML-CP who were resistant and/or intolerant to imatinib. Results: Of the 1,422 CML-CP pts enrolled in the ENACT study between January 2006 and October 2008, 452 (32%) were elderly (=60 years) at study initiation and 165 (37%) of these pts were =70 years [10 (2%) were =80 years]. Countries that enrolled =20 elderly pts include France, Italy, USA, Germany, UK, Spain, Canada, and Brazil. At study initiation, elderly pts had longer median durations of CML (<60: 51.1 months; =60: 69.3; =70: 66.6) and higher proportions with CML duration >5 years (<60: 43%; =60: 56%; =70: 52%). Besides imatinib, prior CML treatments received by elderly pts included dasatinib (=60: 20%; =70: 19%), cytarabine (=60: 23%; =70: 19%), busulfan (=60: 10%; =70: 7%), and interferons (=60: 50%; =70: 42%). Elderly pts were previously treated with imatinib for longer median durations (<60: 27.4 months; =60: 32.7; =70: 29.9), with higher proportions treated for >5 years (<60: 12%; =60: 19%; =70: 18%). The proportion of imatinib-intolerant to resistant elderly pts was about 1:1, which was higher than the proportion among <60 pts at about 0.6:1, such that relatively few elderly pts had prior highest imatinib dose >800 mg (<60: 34%; =60: 26%; =70: 21%). While response rates to prior imatinib were similar, among pts who required therapy after failing imatinib, elderly pts had lower cytogenetic response rates (<60: 22%; =60: 17%; =70: 19%) to prior dasatinib. During ENACT, less than 50% of elderly pts experienced nilotinib dose interruptions (=60: 46%; =70: 41%) and reductions (=60: 7%; =70: 6%) lasting >5 days, which was consistent with the overall ENACT dataset. The median duration of dose interruptions and reductions was 15 (=70: also 15) and 41 (=70: 32) days, respectively. The main reason for dose interruptions and reductions was adverse events (AEs). The median duration of nilotinib exposure was 227 days (=70: 219) and the median dose intensity was 749 mg/day (=70: 775). Efficacy was similar among elderly pts, with 39% (=70: 35%) of pts achieving complete hematologic response (CHR), 41% (=70: 39%) achieving major cytogenetic response (MCyR) and 31% (=70: 33%) achieving complete cytogenetic response (CCyR). MCyR rate was also similar among elderly hematologic responders (=60: 64%; =70: 65%). Among elderly pts requiring nilotinib therapy after both imatinib and dasatinib, and therefore have more resistant CML, CHR rate was 39% (=70: 32%), MCyR rate was 28% (=70: 29%) and CCyR rate was 20% (=70: 16%). Safety was likewise similar among elderly pts, with grade 3/4 study drug-related AEs occurring in 56% of pts (=70: 53%). The most frequent of these AEs were thrombocytopenia (=60: 24%; =70: 21%) and neutropenia (=60: 14%; =70: 11%). The most common method of managing these AEs was brief dose interruptions and/or reductions [thrombocytopenia (=60:86/108 pts; =70: 30/35), neutropenia (=60: 42/62 pts; =70: 9/18)]. Among elderly pts with prior dasatinib, 53% (=70: 58%) experienced grade 3/4 study drug-related AEs, while 7 out of 8 pts with pleural effusion on dasatinib no longer had it on nilotinib. Conclusions: In ENACT, pts aged =60 years at study initiation appear to have longer durations of CML, be more heavily pre-treated and more intolerant to imatinib than the younger cohort. Nonetheless, nilotinib induced comparable clinical responses in CML-CP pts regardless of age. Importantly, the safety profile of nilotinib is maintained in elderly pts. Disclosures: le Coutre: Novartis: Honoraria, Research Funding; BMS: Honoraria. Turkina:Novartis Pharmaceuticals: Honoraria. Kim:Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Wyeth: Research Funding. Ceglarek:Novartis Pharmaceuticals: Honoraria. Shen:Novartis Pharmaceuticals: Honoraria. Smith:Novartis Pharmaceuticals: Honoraria. Rizzieri:Novartis Pharma: Honoraria, Research Funding, Speakers Bureau. Szczudlo:Novartis: Employment. Berton:Novartis Pharmaceuticals: Employment. Wang:Novartis Pharmaceuticals: Employment. Wang:Novartis Pharmaceuticals: Research Funding. Nicolini:Novartis Pharma: Consultancy, Honoraria, Research Funding, Speakers Bureau; Bristol Myers Squibb: Consultancy, Honoraria, Research Funding, Speakers Bureau; Chemgenex: Honoraria, Speakers Bureau.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,003 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».