MétaCan
Menu
Retour à la cohorte
Enregistrement W4310107771 · doi:10.1182/blood-2022-167581

Risk Factor Analysis for Second Treatment-Free Remission Failure from the Canadian TKI Discontinuation (TRAD) Trial in CML Patients: Treatment-Free Remission Accomplished By Dasatinib

2022· article· en· W4310107771 sur OpenAlexaffabout
María Agustina Perusini, Eshetu G. Atenafu, Donna L. Forrest, Bence-Bruckler Isabelle, Lynn Savoie, Mary‐Margaret Keating, Lambert Busque, Robert Delage, Anargyros Xenocostas, Elena Liew, Pierre Laneuville, Kristjan Paulson, Tracy Stockley, Jeffrey H. Lipton, Brian Leber, Dennis Dong Hwan Kim

Notice bibliographique

RevueBlood · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensMcMaster UniversityMcGill UniversityLondon Health Sciences CentreUniversity of ManitobaCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalHôpital de l'Enfant-JésusHôpital Maisonneuve-RosemontNova Scotia Health AuthorityPrincess Margaret Cancer CentreUniversity of CalgaryAlberta Health ServicesUniversity of Alberta HospitalOttawa HospitalUniversity Health NetworkUniversity of TorontoAlberta Hospital EdmontonUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésDiscontinuationDasatinibMedicineInternal medicineComplete remissionOncologySurgeryImatinibChemotherapyMyeloid leukemia

Résumé

récupéré en direct d'OpenAlex

Background The Canadian TKI discontinuation (TRAD) trial (NCT02268370) has evaluated whether Dasatinib (DA) rechallenge can sustain a second treatment-free remission (TFR2) after failure of Imatinib (IM) discontinuation (DISC) for the first TFR (TFR1) attempt. We previously reported that: 1) The 12-month molecular relapse-free survival (mRFS) rate for TFR1 is 58.0%; 2) Re-challenge with DA following TFR1 failure after IM DISC restores deep molecular response (MR) quickly; 3) 12 months DA rechallenge does not significantly improve TFR2 rate (EHA 2022). The clinical risk factors associated with TRF2 failure are evaluated in this study. Patients and Methods This prospective study (BMS CA180-543, NCT#02268370) had 3 phases: 1) IM discontinuation for TFR1, 2) DA rechallenge, and 3) DA discontinuation for TFR2. Key inclusion criteria included: 1) CML in chronic phase, 2) minimum duration of IM therapy 3 years, 3) minimum duration of MR4.5 or deeper over 2 years. Molecular relapse was defined as an increase BCR::ABL qPCR >MR4 on 2 consecutive occasions, or a single increase in BCR::ABL qPCR >MR3. DA treatment was started at 100mg daily after molecular relapse was confirmed, and continued for at least 12 months after achieving ≥MR4 until TFR2 is attempted. Molecular relapse-free survival (RFS) after DA discontinuation was calculated and analyzed according to the risk factors. Results With a median follow-up duration of 27.5 months (range 1.8-51), in the TFR2 phase, 35 pts stopped DA for a TFR2. Only 3 of 35 pts (8.6%), maintained the MR at last follow-up, the remaining 32 lost the MR within a median 3.65 months. The actuarial mRFS rate at 6 and 12 months was 22.9% (95% CI, 10.8-37.6%) and 10.0% (2.7-23.1%). Potential risk factors for TFR2 from three different phases were evaluated, and 5 were found to be associated with TFR2 failure in univariate analysis (table 1): 1. In the DA rechallenge phase, failure to achieve MMR in less than 1 month with DA rechallenge increased the risk of TFR2 failure, in comparison to those who achieved MMR in less than a month (HR 4.656, p=0.0002). 2. Prior to DA DISC phase, any detectable BCR::ABL1 qPCR level between MR4 to MR5.4 showed an increased risk of TFR2 failure, compared to undetectable BCR::ABL1 qPCR level below MR5.5 (HR 4.04, p=0.0001). 3. Among the variables during the IM DISC phase: 4. Molecular relapse pattern: in comparison to the loss of MR4 only, those who lost MMR had an increased risk of TFR2 failure (HR 4.163, p= 0.001). 5. Time to loss of MR within 2.8 months after IM DISC increased the risk of TFR2 failure, in comparison who lost MR beyond 2.8 months (HR 4.717, p=0.0002). 6. Shorter doubling time (DT) at 2 months below 12.75 days and above 0 increased the risk of TFR2 failure, compared to DT at 2 months above 12.75 days or below 0 (HR 654, p=0.002) Multivariate analysis was performed to identify independent risk factors, identifying 3 clinical factors predictive of TFR2 failure: 1) Failure to achieve MMR in less than 1 month following DA rechallenge (p=0.007, HR 9.542 [1.819-50]); 2) DT below 12.75 days at 2 months after IM DISC (p=0.015, HR 4.368 [1.334-14.30]); and 3) any detectable BCR::ABL1 transcript level between MR4 and MR5.4 before DA DISC (p=0.047, HR 2.759 [1.014-7.513]). A risk score model was generated incorporating these 3 clinical risk factors. A score of 1 was assigned to each one of these risk factors. The group with a score of 0 vs 1-3 was labeled as low vs high-risk, respectively. The low-risk group (n=7) showed 85.7% and 34.3% of TFR2 rate at 6 and 12 months, while the high-risk group (n=24) showed 7.4% and 3.7% of TFR2 rate at 6 and 12 months, (p=0.0003; HR 6.518 [2.219-19.95] for high-risk group vs low risk; Figure 1). Conclusion As we have previously reported, DA treatment rarely achieves a sustained TFR2 after failing the first IM DISC attempt. However, our current result suggests that TFR2 attempt can be successful in a selected group of patients if: 1) Rapid reduction of initial molecular kinetics is achieved within 1 month of DA rechallenge, 2) an undetectable BCR::ABL1 qPCR level is reached before TFR2 attempt 3) longer doubling time at 2 months after IM DISC is noted. The proposed risk model can be used as a predictive tool for TFR2 failure. Further studies to improve TFR2 rate should investigate the addition of new therapies and consider the use of innovative tools with higher precision and sensitivity to quantify the MR. Figure 1View largeDownload PPTFigure 1View largeDownload PPT Close modal

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)0,003
score de la tête « metaresearch » (Gemma)0,003
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 enseignants0,983
Score d'incertitude au seuil0,035

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,019
Tête enseignante GPT0,256
Écart entre enseignants0,237 · 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

Citations0
Publié2022
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueBloodMême sujetChronic Myeloid Leukemia TreatmentsTravaux en français237 207