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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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 | 0,004 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».