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Enregistrement W2983575857 · doi:10.1182/blood-2019-131454

BCR-ABL1 qPCR-Based Doubling Time within the First 6 Months after Imatinib Discontinuation Is a Predictive of Successful TKI Treatment-Free Remission

2019· article· en· W2983575857 sur OpenAlexaffabout
Georgina S. Daher-Reyes, Isabelle Bence‐Bruckler, Lambert Busque, Donna L. Forrest, Lynn Savoie, Mary‐Margaret Keating, Robert Delage, Anargyros Xenocostas, Elena Liew, Pierre Laneuville, Kristjan Paulson, Jeffrey H. Lipton, Suzanne Kamel‐Reid, Brian Leber, Dennis Dong Hwan Kim

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensMcMaster UniversityMcGill University Health CentreLondon Health Sciences CentreJuravinski Cancer CentreHôpital de l'Enfant-JésusDalhousie UniversityPrincess Margaret Cancer CentreVancouver General HospitalUniversity of CalgaryBC Cancer AgencyAlberta Health ServicesAlberta Hospital EdmontonUniversity of British ColumbiaUniversité de MontréalHôpital Maisonneuve-RosemontCancerCare ManitobaUniversity of Alberta HospitalUniversity Health NetworkOttawa HospitalWestern UniversityUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésDiscontinuationMedicineInternal medicineImatinibImatinib mesylateOncology

Résumé

récupéré en direct d'OpenAlex

Introduction: The Canadian tyrosine kinase inhibitor (TKI) discontinuation trial has reported a 59.1% and 21.5% molecular relapse-free survival (RFS) rate after first attempt of treatment free remission (TFR1) with imatinib (IM) discontinuation and after a 2nd attempt of TFR (TFR2) with dasatinib (DA) discontinuation, respectively. Throughout the first and second attempts of TKI discontinuation, the kinetics of BCR-ABL qPCR transcript rise were very similar after TFR1 and TFR2. This prompts us to have a better understanding of the dynamics of BCR-ABL qPCR rise after TKI discontinuation. Methods and materials: This prospective clinical trial (BMS CA180-543, Clinicaltrial.gov NCT#02268370) has 3 phases: 1) IM discontinuation phase, 2) DA rechallenge phase, 3) DA discontinuation phase. We have analyzed the monthly BCR-ABL1 qPCR value and doubling time (DT) in the first 6 months following IM discontinuation. The qPCR level before IM discontinuation or the qPCR level from the prior month was used as a baseline. DT at each measurement was calculated as x = ln(2)/K, where x is the DT and k is the fold BCR-ABL1 change from the previous value divided by the number of days between each measurement. The distribution of DT for all patients was assessed at each timepoint of DT measurement within the first 6 months. In order to define the best cut-off levels of BCR-ABL1 qPCR and DT showing the best risk stratification power throughout the first 6 months, DT values were collected and analyzed for molecular relapse-free survival (RFS) from the time of DT measurement. Then, a binary recursive partitioning method was applied using RFS which is calculated from the time of each DT measurement. Based on the DT cut-off value, the group was divided into 2 groups. The RFS was compared according to the groups. Results: As of March 25, 2019, out of 131 patients enrolled, 58 patients (44.3%) lost a molecular response. The 6- and 12-months' molecular relapse-free survival (mRFS) rate was estimated as 59.1% (50.1-67.0%) and 56.8 % (47.8-64.8%), respectively. BCR-ABL1 qPCR transcript level after IM discontinuation showed a rapid rise between the first 2-4 months, followed by a gradual rise after 4 months. The proportion of the patients showing DT less than 12.71 days but above 0 was 3.8% at 1 mo, 25.2% at 2 mo, 15.3% at 3 mo, 12.2% at 4 mo, 2.3% at 5 mo and 2.3% at 6 mo, respectively. DT values were collected and analyzed for molecular RFS from the time of DT measurement. Binary recursive partitioning method was applied and provided 12.71 days as the best DT cutoff value to stratify the patients according to the RFS from the time of each DT measurement. In other words, the patients having DT less than 12.71 days but above 0 at any time within the first 6 months had a higher risk of failing the TFR attempt, while those with DT equal to or over 12.71 days at any time has a lower risk of losing TFR after IM discontinuation. The best result was reported in the group with stable BCR-ABL qPCR transcript level. A rapid incline of BCR-ABL qPCR transcript level was observed 2-4 months after IM discontinuation. According to the DT measured at 2 months, the group with DT less than 12.71 days but above 0 showed the lowest mRFS rate of 5.0% (0.9-14.8%) at 12 months (HR 5.74), compared to the group with DT equal to/over 12.71 days (12 months' mRFS 47.4% [23.2-68.3%]) or the group with DT equal to/less than 0 days (12 months' mRFS 87.5% [77.3-93.3%]; p<0.001 [i.e. 3.5x10-32]). Decision tree analysis was performed including 4 variables such as DT below 12.71 days, DT equal to or below 0 days, total IM treatment duration and MR4 response duration. The first node was DT below 12.71 days, and the second was DT equal to/less than 0 days. Total IM duration or MR4 duration were not identified as significant in the decision tree analysis. Multivariate analysis confirmed that grouping based on the DT at 2 months is an independent risk factor for TFR. The group with DT below 12.71 but above 0 showed 5.74 times higher risk of losing TFR after IM discontinuation independent of the total duration of IM treatment. Conclusion: DT with cut off value of 12.71 days at 2 months based on the BCR-ABL1 qPCR transcript level measured in the first 6 months after IM discontinuation is predictive of TFR failure after IM discontinuation. Figure Disclosures Busque: ExCellThera: Patents & Royalties; BMS: Consultancy; Novartis: Consultancy; Pfizer: Consultancy; Paladin: Consultancy. Savoie:Pfizer: Consultancy; BMS: Consultancy, Honoraria; Novartis: Consultancy, Honoraria. Keating:Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria; Seattle Genetics: Consultancy; Janssen: Membership on an entity's Board of Directors or advisory committees; Shire: Membership on an entity's Board of Directors or advisory committees; Hoffman La Roche: Membership on an entity's Board of Directors or advisory committees; Sanofi: Membership on an entity's Board of Directors or advisory committees. Delage:Novartis: Honoraria, Research Funding; Celgene: Honoraria, Research Funding. Liew:Novartis: Consultancy, Honoraria. Leber:AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Astellas: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Alexion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Jazz: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.

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)0,003
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 enseignants0,003
Score d'incertitude au seuil0,011

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

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 Opus0,008
Tête enseignante GPT0,238
Écart entre enseignants0,229 · 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

Citations1
Publié2019
Routes d'admission2
Résumé présentoui

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