MétaCan
Menu
Retour à la cohorte
Enregistrement W4405046497 · doi:10.1182/blood-2024-206153

Multicenter Survey on the Practice Patterns of Post-Transplant Maintenance Treatment in FLT3-ITD Acute Myeloid Leukemia and Philadelphia Positive Acute Lymphoblastic Leukemia: What Is the Common Institutional Policy for Duration of Therapy?

2024· article· en· W4405046497 sur OpenAlexaffabout
Alejandro Garcia‐Horton, Imran Ahmad, Kylie Lepic, Christopher J. Lemieux, David Sanford, Mohamed Elemary, Kareem Jamani, Mohsen Al Zahrani, Muhned Alhumaid, Ahmad S. Alotaibi, Ayman Saad, Ahmad Alhuraiji, Murtadha Al‐Khabori, Ali Bazarbachi, Robert Zeiser, Varun Mehra, Jae-Sook Ahn, Hyeoung‐Joon Kim, Joon Ho Moon, Sang Kyun Sohn, Yu Cai, Xianmin Song, Xiao Jun Huang, Yishan Ye, He Huang, Hee‐Je Kim, Dennis Dong Hwan Kim

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Lymphoblastic Leukemia research
Établissements canadiensPrincess Margaret Cancer CentreUniversity Health NetworkUniversity of CalgarySaskatchewan Cancer AgencyVancouver General HospitalUniversity of British ColumbiaUniversity of SaskatchewanUniversité LavalJuravinski HospitalMcMaster UniversityHôpital Maisonneuve-Rosemont
Organismes subventionnairesnon disponible
Mots-clésMedicineLymphoblastic LeukemiaMyeloid leukemiaInternal medicineLeukemiaChemotherapy regimenOncologyOverall survival

Résumé

récupéré en direct d'OpenAlex

Introduction: Since leukemia relapse remains a significant cause of mortality after allogeneic stem cell transplant (HCT) for acute myeloid leukemia (AML) and acute lymphoblastic leukemia (ALL), interest in post-transplant maintenance (PTM) strategies continues to increase. Specifically, evidence of outcome improvement with the FLT3 inhibitors (FLT3i) sorafenib and gilteritinib in FLT3-ITD AML continues to emerge. Similarly, in Philadelphia positive (Ph+) ALL, tyrosine kinase inhibitor (TKI) maintenance prophylactic or pre-emptive approaches are widely recommended to prevent disease relapse. However, worldwide clinical practices of PTM strategies are not standardized and significantly influenced by drug availability, funding, and healthcare systems of individual countries. Thus, we conducted a worldwide survey amongst HCT centers (n=21) from 9 countries to understand international PTM strategy usage. Methods: We implemented a worldwide survey amongst 21 HCT centers to understand international patterns of clinical practice toward PTM in patients who received allogeneic HCT for FLT3-ITD AML or Ph+ ALL. Thirty-eight centers received the survey, and of these, 21 (55%) replied. Respondent centers were located in Canada (n=7), Saudi Arabia (n=3), China (n=3), South Korea (n=3), Germany (n=1), Lebanon (n=1), Oman (n=1), Kuwait (n=1), and the United Kingdom (n=1). Results: For patients with FLT3-ITD AML, 81% (n=17/21) of centers used a FLT3i (either midostaurin, sorafenib, or gilteritinib) as PTM strategy, with 4 centers not having access to medication. The choice of FLT3i varied depending on access and funding of drugs. Of the centers with capacity to provide a FLT3i, 75-100% of candidates would go on to receive a FLT3i, while only 2 centres had a compliance of 5-50%. The duration of FLT3i PTM practices were mostly standard with all but 3 centers aiming to use the medication for 2 years. Two centers used FLT3i PTM for up to 1 year and another center continued it until disease progression. The most common FLT3 inhibitors used were sorafenib and gilteritinib, with midostaurin only used in 2 centers. FLT3-ITD mutation status was determined by NGS or PCR at diagnosis, with heterogeneous access to allele frequency/ratio, with this not being a contributing factor in the decision to use or not maintenance FLT3i. For patients with Ph+ ALL, 71% (n=15/21) of centers used a TKI as PTM for prophylaxis. Four centers did not have access to medication and 2 centres would only use TKI if measurable residual disease was detected by PCR (pre-emptive strategy). Of the centres that used TKI routinely as a PTM, prescribing compliance was reported to range from 75-100%. Duration of TKI PTM was heterogenous, with 8 centers keeping the approach for 2 years post transplant, 3 centers for 5 years, 1 center for 3 years, 2 centers for 1 year, and one until disease progression. Monitoring practices by quantitative PCR were also variable. The most common approach (12 centers) was PCR monitoring every 3 months for 2 years. Four centers monitored monthly initially, with de-escalation after 1 year or negative PCR to every 3 months. One center monitored every 6 months. Conclusion: While there is no standardized recommendation in PTM using FLT3i or TKI for FLT3-ITD AML or Ph ALL, the present study revealed that there is some common practice for PTM approach. Although the duration of maintenance still remains variable and an area of ongoing research, most of HCT centers around the world are currently employing a 2-year duration both in FLT3-ITD AML and Ph ALL. However, worldwide PTM practices still remain heterogeneous, seemingly driven by medication access rather than physician-driven decision. It would highlight urgent need for the development of international standardized treatment guidelines for PTM which can support approval of medication reimbursement or financial support for this approach. About 80% of the centers that participated in this survey consistently adopted post-transplant maintenance using FLT3i or TKI for FLT3-ITD AML or Ph+ ALL, respectively. For monitoring strategies, especially in Ph+ ALL, qPCR is employed at slightly different schedule with some variation for frequency. In FLT3-ITD, most centres have access to mutational data through PCR or NGS from initial diagnosis, but not employed for follow up or MRD assessment, which is a matter of future research development.

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)0,005
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 enseignants0,011
Score d'incertitude au seuil0,022

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,017
Tête enseignante GPT0,302
Écart entre enseignants0,284 · 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
Publié2024
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueBloodMême sujetAcute Lymphoblastic Leukemia researchTravaux en français237 207