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Enregistrement W2545387711 · doi:10.1182/blood.v126.23.4029.4029

Treatment-Free Remission (TFR) Eligibility in Patients (pts) with Chronic Myeloid Leukemia in Chronic Phase (CML-CP) and Residual Disease on Long-Term Imatinib (IM) Who Switched to Second-Line Nilotinib (NIL)

2015· article· en· W2545387711 sur OpenAlexaffabout
Timothy P. Hughes, Francisco Cervantes, Nelson Spector, Brian Leber, Susan Branford, Tara Glynos, Sandip Acharya, Darshan Dalal, Jeffrey H. Lipton

Notice bibliographique

RevueBlood · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensPrincess Margaret Cancer CentreUniversity of TorontoMcMaster University
Organismes subventionnairesnon disponible
Mots-clésNilotinibMedicineImatinibInternal medicineImatinib mesylateMyeloid leukemiaDasatinibTyrosine-kinase inhibitorGastroenterologySurgeryCancer

Résumé

récupéré en direct d'OpenAlex

Abstract Background: The randomized, phase 3 ENESTcmr study evaluated whether pts with CML-CP with detectable residual disease on long-term IM could achieve deeper molecular responses (MRs) by switching to NIL vs remaining on IM. Achievement of a sustained deep MR is a key prerequisite for successful TFR following frontline tyrosine kinase inhibitor (TKI) therapy; however, limited data are available on TFR following second-line TKI therapy. To estimate the proportion of pts who may be eligible to attempt TFR following second-line NIL, we analyzed 4-y data from ENESTcmr to evaluate the proportion of pts who maintained MR4.5 (BCR-ABL1 ≤ 0.0032% on the International Scale) for 1 y after achieving it after ≥ 2 y on second-line NIL. Methods: In ENESTcmr (NCT00760877), pts with CML-CP with complete cytogenetic response but detectable BCR-ABL1 after ≥ 2 y on IM were randomized to NIL 400 mg twice daily (BID; n = 104) or IM (400 or 600 mg once daily; n = 103). Pts in the IM arm could cross over due to detectable BCR-ABL1 after 2 y on study or treatment failure/confirmed loss of response at any time. In this exploratory analysis of data from ENESTcmr, key criteria for attempting TFR in ENESTop (NCT01698905) were applied a posteriori to estimate the rate of eligibility to attempt TFR with second-line NIL. These criteria included ≥ 3 y of total TKI therapy (≥ 4 weeks of frontline IM and ≥ 2 y of second-line NIL), with MR4.5 achieved on NIL and sustained MR4.5 on NIL for an additional ≥ 1 y. A time-to-event analysis was used to estimate the rate of eligibility for TFR, using these criteria, among pts randomized to the ENESTcmr NIL arm; pts who discontinued early were censored at the data cutoff date, and pts who did not meet the eligibility criteria but were still on treatment at the data cutoff were censored at the date of last dose. Results: Most pts in ENESTcmr had received > 3 y of prior IM (NIL 400 mg BID arm, 83%; IM arm, 80%). At the data cutoff (minimum follow-up of 4 y), 59/104 pts in the NIL arm, 36/46 pts who crossed over from IM to NIL, and 41/57 pts in the IM arm who did not cross over remained on study treatment. Median time receiving NIL was 3.9 y among pts in the NIL arm and 1.8 y among pts who crossed over from IM to NIL. By 4 y, rates of MR4.5 in pts without MR4.5 at study entry (NIL, n = 98; IM, n = 96) were 52% and 42% in the NIL and IM arms, respectively; when responses achieved after crossover from IM to NIL were excluded, rates were 52% and 28%, respectively. Among pts who crossed over, 13/46 (28%) achieved a first MR4.5 on NIL after crossover. By 4 y, 44/104 pts in the NIL arm (42.3%) had received ≥ 2 y of NIL and achieved MR4.5 on NIL (Figure). Five of these 44 pts achieved MR4.5 between 3 and 4 y and were therefore not evaluable for sustained MR4.5 for ≥ 1 y by the data cutoff; of the pts who achieved MR4.5 by 3 y, 17/39 (43.6%) had sustained MR4.5 for ≥ 1 y on NIL by 4 y. Overall among pts randomized to NIL (n = 104), an estimated 17.4% (95% CI, 11.1%-26.7%) had both a ≥ 3-y duration of NIL treatment and a ≥ 1-y duration of sustained MR4.5. A similar analysis to estimate the proportion of pts who achieved a sustained deep MR with continued IM therapy was not possible due to the confounding effect of a large proportion of pts crossing over to NIL (46/103) during the study. Similarly, because most of the 46 pts who crossed over to NIL received < 2 y of NIL by the 4-y data cutoff, the rate of sustained deep MR on NIL could not be evaluated in these pts. Conclusion: For pts in whom TFR is a treatment goal, achievement of a sustained deep MR is a critical milestone. By 4 y in ENESTcmr, 43.6% of pts (17/39) with ≥ 2 y of second-line NIL who achieved MR4.5 by 3 y also sustained this response for an additional ≥ 1 y on NIL (the key ENESTop criteria for attempting TFR). The optimal depth and duration of MR for successful TFR following second-line TKI therapy have not been determined, and the proportion of pts eligible to attempt TFR would be expected to vary between studies, depending on the specific criteria required for attempting TFR. Overall, these results suggest that for pts lacking deep MR on frontline IM, switching to second-line NIL may provide a route to TFR eligibility. Figure 1. Figure 1. Disclosures Hughes: ARIAD: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Off Label Use: Nilotinib is currently approved for the treatment of patients with newly diagnosed CML in chronic phase and in patients with CML in chronic phase or accelerated phase who are resistant or intolerant to previous therapy including imatinib. The ENESTcmr study (results of which are presented in this abstract) evaluated the safety and efficacy of second-line nilotinib in patients with complete cytogenetic response but with detectable levels of BCR-ABL1 transcripts after 2 y frontline imatinib.. Cervantes:Novartis: Consultancy, Speakers Bureau; Sanofi-Aventis: Consultancy; CTI-Baxter: Consultancy, Speakers Bureau. Spector:Novartis Pharmaceuticals: Research Funding. Leber:Celgene Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis Canada: Honoraria, Membership on an entity's Board of Directors or advisory committees. Branford:Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Ariad: Research Funding; Qiagen: Membership on an entity's Board of Directors or advisory committees. Glynos:Novartis Pharmaceuticals: Employment. Acharya:Novartis Healthcare Pvt. Ltd.: Employment. Dalal:Novartis: Employment, Equity Ownership. Lipton:Ariad: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Teva: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Novartis Pharmaceuticals: Consultancy, Research Funding.

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)0,002
score de la tête « metaresearch » (Gemma)0,002
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 enseignants0,002
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,026
Tête enseignante GPT0,311
Écart entre enseignants0,286 · 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

Citations3
Publié2015
Routes d'admission2
Résumé présentoui

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