PF411 ENESTOP 192‐WK RESULTS: DURABILITY AND IMPACT ON QUALITY OF LIFE OF TREATMENT‐FREE REMISSION (TFR) FOLLOWING SECOND‐LINE (2L) NILOTINIB (NIL) IN PATIENTS (PTS) WITH CHRONIC MYELOID LEUKEMIA (CML)
Notice bibliographique
Résumé
Background: The ENESTop study (NCT01698905) is evaluating TFR in pts with CML in chronic phase who achieved sustained deep molecular response with 2L NIL. In the primary analysis, 57.9% of pts remained in TFR 48 wks after stopping NIL. Analyses at 144 wks showed durability of TFR. Aims: To assess the maintenance and safety of TFR after a longer follow‐up of 192 wks. Methods: Eligible pts had received ≥3 y of treatment (including >4 wks of imatinib followed by ≥2 y of NIL) and had achieved MR 4.5 ( BCR‐ABL1 IS ≤0.0032%) on NIL. Pts without confirmed loss of MR 4.5 after 1 y of consolidation (CONS) treatment could attempt TFR. NIL was resumed upon loss of major molecular response ( BCR‐ABL1 IS ≤0.1%) or confirmed loss of MR 4 ( BCR‐ABL1 IS ≤0.01%). By the data cut‐off (24 Sep 2018), all pts had either completed ≥192 wks of TFR, resumed NIL, or discontinued the study. Results: At the data cut‐off, of the 126 pts who entered TFR, 56 remained in TFR, 59 had resumed NIL and 11 had discontinued the study. At 192 wks, the TFR rate was 46.0% (58/126; 95% CI, 37.1–55.1%); all but 1 pt were in MR 4.5 . Of pts in TFR at 144 wks, only 1/61 had lost response (confirmed loss of MR 4 ) by 192 wks; 2 other pts had discontinued due to pt/guardian decision and serious AE (polycythemia vera), respectively. Of pts who resumed NIL, 56/59 (94.9%) and 55/59 (93.2%) regained MR 4 and MR 4.5 , respectively. Of 56 pts who regained MR 4 , 40 (71.4%) had stable MR 4 96 wks later; the remaining 16 had either discontinued <96 wks after regaining MR 4 (n = 12) or were ongoing with <96 wks after regaining MR 4 (n = 4). Of 55 pts who regained MR 4.5 , 37 (67.3%) had stable MR 4.5 96 wks later; the remaining 18 pts had either discontinued <96 wks after regaining MR 4.5 (n = 12) or were ongoing with <96 wks after regaining MR 4.5 (n = 6). There were no cases of disease progression or deaths due to CML. No new deaths have occurred since the 144‐wk analysis. The treatment‐free survival rate at 192 wks was 50.3% (95% CI, 41.2–58.7%; Figure ). During CONS and the 1 st , 2 nd , 3 rd and 4 th 48‐wk periods of TFR, respectively, rates of all‐grade AEs were 80.6%, 85.5%, 67.7%, 51.6% and 56.5% among the 62 pts who remained in TFR for >144 wks. Musculoskeletal pain AE rates increased during the first 48 wks of TFR (53.2%) vs CONS (11.3%), then decreased during each subsequent 48‐wk period of TFR to levels below that seen in CONS (21.0%, 14.5% and 3.2%, respectively). In pts who resumed NIL (n = 59), the most common AEs were hypertension (20.3%) and arthralgia (13.6%), with the majority of AEs being grade 1/2. The rates of frequently occurring (>10% on treatment) additional AEs (grouped by category) that may affect quality of life were assessed during CONS and the subsequent 48‐wk periods of TFR to further explore the potential impact of TFR. During these study periods, respectively, incidences of these categories of AEs were: gastrointestinal disorders, 22.6%, 17.7%, 21.0%, 8.1% and 8.1%; infections and infestations, 35.5%, 37.1%, 21.0%, 17.7% and 16.1%; musculoskeletal and connective tissue disorders: 24.2%, 62.9%, 29.0%, 22.6% and 12.9%; general disorders and administration site conditions (eg, asthenia, pyrexia): 11.3%, 21.0%, 4.8%, 4.8% and 6.5%. Across these AE categories, incidences tended to decrease over time in TFR. Summary/Conclusion: These results demonstrate the long‐term durability and safety of TFR following 2L NIL. No disease progressions or CML‐related deaths were reported. Musculoskeletal pain AEs were transient and additional AEs that may impact quality of life tended to decrease in frequency during TFR. image
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 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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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 | 0,000 |
| 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 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 ».