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Enregistrement W2301273092 · doi:10.1182/blood.v122.21.5501.5501

A Comparison Of Long-Term Outcomes Of Donor Lymphocyte Infusions and Tyrosine Kinase Inhibitors In CML Patients Relapsed After Allogeneic Hemopoietic Stem Cell Transplantation

2013· article· en· W2301273092 sur OpenAlexaff
Mohamed Shanavas, Hans A. Messner, Suzanne Kamel‐Reid, Eshetu G. Atenafu, Vikas Gupta, John Kuruvilla, Dennis Dong Hwan Kim, Jieun Uhm, Anna Lambie, Laura Ellis, Jeffrey H. Lipton

Notice bibliographique

RevueBlood · 2013
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensPrincess Margaret Cancer CentreUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineNilotinibDasatinibInternal medicineTransplantationDonor lymphocyte infusionImatinibCumulative incidenceTyrosine-kinase inhibitorGraft-versus-host diseaseGastroenterologyHematopoietic stem cell transplantationStem cellOncologyMyeloid leukemiaSurgeryCancer

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 5501 Relapse is a major cause of treatment failure of allogeneic hematopoietic cell transplantation (HCT) for Chronic Myeloid Leukemia (CML). DLI (Donor lymphocyte infusion) and TKI (Tyrosine Kinase inhibitors) are the two standard treatment options in this setting but reports comparing their long-term outcomes are scarce. Between 1993 and 2012, 28 patients underwent DLI and 18 patients received TKI for chronic or advanced phase relapse of CML at our institution. Chronic hematologic, cytogenetic and molecular relapses were considered as chronic phase relapses. Accelerated phase and blast crisis relapses were considered as advanced phase relapses. Overall survival (OS), failure free survival (FFS) and cumulative incidence of failure (CIF) were analyzed retrospectively and for these analyses, failure was defined as lack of response, relapse or intolerance requiring change in treatment. This study had Institutional Research Ethics Board approval. Among18 patients treated with TKI, 15 patients received imatinib, 2 received dasatinib and 1 received nilotinib as the first line treatment. In DLI group, number of infusions per patient ranged between 2 and 4. Patients in the DLI group were more likely to be transplanted during the 1st chronic phase of disease (86% vs. 56%, p=0.008), with bone marrow stem cells (100% vs. 56%, p=<0.0001) and less likely to have pre-HCT tyrosine kinase inhibitor treatment (0% vs. 33%, p=0.002). Patients in the TKI group are more likely to be treated during advance phases of relapse (39% vs. 7%, p=0.018). Type of donor, age at stem cell transplant or relapse and prior acute or chronic GVHD were not different between the groups. No patients received reduced intensity conditioning or T-cell depleted grafts. 64% of patients treated with DLI and 83% treated with TKIs achieved complete molecular response (CMR). 21% of patients initially treated with DLI required further treatment with TKIs after a second relapse. In the TKI group, no patients were later treated with DLI, but one required a change from imatinib to dasatinib due to intolerance. The incidences of treatment failures in DLI and TKI groups were 43% and 28% respectively. At a median follow up of 146 (range, 40-220) and 70 (range, 9-139) months respectively, 9 (32%) in the DLI group and 6 (33%) in TKI group have died. when chronic phase relapses were analyzed separately 7 (21%) in the DLI group and none from the TKI treated group have died. Mortality was higher in advanced phase relapses with 2 (100%) patients in the DLI group having died without achieving any response, and in the TKI group; 4 (57%) patients achieved CMR but eventually 6 out of 7 (86%) patients have died at a median time of 9 (3-114) months. In multivariable analysis, advanced phase of relapse was associated with shorter OS (HR=109.7; 95% CI, 12.2-985.3; p= <0.0001), shorter FFS (HR = 82.3; 95% CI, 7.1-956.5; p =0.0004) and higher CIF (HR= 67.9; 95% CI, 6.9-669.8; p=0.0003). Comparing treatment with TKI, treatment with DLI was associated with an inferior OS (HR =37.4; 95% CI, 2.2-625.4; p=0.01), shorter FFS (HR =21.15; 95% CI, 1.8-251; p=0.02) and higher CIF (HR =19.5; 95% CI, 1.6-236.5; p=0.02). Prior acute GVHD grade 2-4 was associated with higher CIF (HR=3.3; 95% CI, 1.15-9.2; p= 0.03), but there was no effect on OS and FFS. Prior chronic GVHD, age at relapse treatment, and time from stem cell transplant to relapse treatment and year of relapse treatment were not found to be significant factors. New onset or worsening of GVHD was significantly higher in the DLI group (68% vs. 6%, p=0.001). Among the patients treated with DLI, development of post DLI GVHD was associated with better OS (HR=0.26; 95% CI, 0.07-0.99; p=0.048), FFS (HR=0.3, 95% CI, 0.11-0.88; p=0.027) and lower CIF (HR=0.32; 95% CI, 0.1-0.96; p=0.04). Prior history of chronic GVHD was associated with higher FFS in DLI treated patients (HR=0.3; 95% CI, 0.1-0.89; p= 0.03), but did not have significant effect on OS (HR=0.32, 95% CI, 0.08-1.3; p=0.1) or CIF (HR=0.43; 95% CI, 0.143-1.28; p=0.13). In conclusion, TKIs appears better than DLI in CML patients who had relapsed in chronic phase after myeloablative T-cell-replete HCT. Outcomes were poor in advanced phase relapses irrespective of modality and novel strategies need to be explored in this group of patients. Disclosures: No relevant conflicts of interest to declare.

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)0,001
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 enseignants0,001
Score d'incertitude au seuil0,007

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
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 Opus0,012
Tête enseignante GPT0,256
Écart entre enseignants0,243 · 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
Publié2013
Routes d'admission1
Résumé présentoui

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