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Enregistrement W2980124547 · doi:10.1182/blood.v116.21.2266.2266

Allogeneic Stem Cell Transplantation for Blast Crisis (BC) Chronic Myelogenous Leukemia (CML) In the Tyrosine Kinase Inhibitors (TKIs) Era. Analysis of Pre-Transplant Variables on Transplant Outcome. On Behalf of the Societe Francaise De Greffe De Moelle Et De Therapie Cellulaire and the French Group of CML

2010· article· en· W2980124547 sur OpenAlexaff
Franck E. Nicolini, Laurent Modolo, Nicole Raus, Nöel Milpied, Gèrard Socié, Ibrahim Yakoub‐Agha, Mohamad Mohty, Nathalie Fegueux, Hervé Tilly, Didier Blaise, Pierre Bordigoni, Karin Bilger, Catherine Cordonnier, Jean‐Hugues Dalle, Thierry de Revel, Eric Deconninck, Bernard Rio, Anne Sîrvent, Norbert Ifrah, Gaëlle Guillerm, Valérie Mialou, Agnès Buzyn, Anne Huynh, Jacques‐Olivier Bay, Stéphane Morisset, Mauricette Michallet

Notice bibliographique

RevueBlood · 2010
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Myeloid Leukemia Treatments
Établissements canadiensHotel Dieu Hospital
Organismes subventionnairesnon disponible
Mots-clésDasatinibMedicineImatinibTransplantationInternal medicineImatinib mesylateChronic myelogenous leukemiaChemotherapySurgeryChemotherapy regimenHematopoietic stem cell transplantationOncologyGastroenterologyMyeloid leukemiaLeukemia

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 2266 We conducted a national retrospective analysis on 63 patients (pts) with either myeloid or lymphoid BC CML who underwent a first allogeneic stem cell transplantation as consolidation therapy for BC, since 2000 in France and look at whether 1st and 2nd generation TKIs ±chemotherapy prior to transplant may impact on outcome. There were 46 males and 17 females, and the median age at transplant was 34 (range 3–63) years and the median delay between BC and transplant was 19.6 (2.3-113) months. Thirty six (57%) pts were in chronic phase (CP), 3 (5%) in accelerated and 24 (38%) in BC at CML diagnosis. Twenty three pts received 1 line of treatment, 26 pts 2 lines, and 14 pts 3 or more lines for CML treatment before BC. For BC treatment, 25/63 (39%) pts had chemotherapy without TKI and 29/63 (46%) had TKIs combined or not to chemotherapy (6 chemo+dasatinib, 4 chemo+imatinib, 8 dasatinib alone, 1 dasatinib and imatinib, 9 imatinib, 9 unknown). At transplant 35/63 (55%) were considered in 2nd CP and 28 (45%) still in BC. The majority of the pts had an identical sibling donor (42/63: 66%), 1 mismatched related, 7 matched unrelated, and 13 mismatched unrelated. Fifty-six (89%) pts had a standard conditioning regimen, 7 (11%) pts a RIC regimen and 39 (62%) had a TBI. The stem cell source was bone marrow in 33/63 (52%) pts, PBSC in 24/63 (38%) and cord blood for 6/63 (10%). Fourteen transplants were sex-mismatched (female donor for male recipient). The EBMT-Gratwohl score was low (1+2+3) for 35/63 (55%) pts, intermediate (4) for 14 pts and high (5) for 9 pts, (and 6) for 3 pts and undetermined for 2 pts. The median follow-up since transplant was 25 (range 0.43–109) months. The overall median time for neutrophil recovery (neutrophils > 0.5 109/l) was 20 days. Fourty-one (65%) pts had an aGVHD (29 grade i-II and 12 grade III-IV) with no statistical differences between stem cell sources (p=0.4 for cord vs BM and 0.58 for PBSC vs BM). The cumulative incidence of chronic GVHD (14 extensive, 10 limited) was 43% at latest follow-up, more frequent in RIC transplant. The cumulative incidence of CML relapse was 38% at 2 yrs and multivariate analysis demonstrated the significant impact on relapse of the status at transplant in favour of disease control prior to transplant [HR 2.22 (1-4.93, p=0.05] and unexpectedly, no impact of BC treatment with or without TKIs prior to transplant and of other variables. The median overall survival (OS) was 22 months (see Figure 1). The TRM was 33% at latest follow-up, and it was significantly negatively influenced by the EBMT score (p=0.0077 for scores ≥ 4), BC status at diagnosis (p=0.04). The OS was not improved when using standard conditioning regimens (p=ns), but was improved by disease status at transplant (2nd CP better than persistent BC, p=0.01) and transplant with cord blood and BM stem cell sources over PBSC (p=0.011). Multivariate analysis on OS detected as significant adverse prognosis factors EBMT score ≥5 (HR=4.63 EBMT 5, and 4.77 EBMT 6). The types of treatment of BC CML had no significant impact (with or without stratification on chemotherapy). The median progression-free survival (PFS) was 5.8 months (see Figure 2). The PFS was not significantly improved by standard conditioning regimens but again was improved by disease control prior to transplant (2nd CP better than persistent BC, p=0.001) and with cord blood and BM stem cell sources over PBSC (p=0.057). Multivariate analysis on PFS detected as significant adverse prognosis factors EBMT score ≥5 (HR=5.82 EBMT 5, and 3.82 EBMT 6), but again, the types of treatment of BC CML prior to transplant had no significant impact. In conclusion, this analysis suggests that OS and PFS rates are significantly improved when compared to figures from the pre-TKI era. The use of 1st or 2nd generation TKIs alone or combined to chemotherapy does not seem to influence transplant results. CML status and the EBMT score are the major factors that can significantly influence transplant outcome. 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)0,001
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 enseignants0,002
Score d'incertitude au seuil0,004

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
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 Opus0,008
Tête enseignante GPT0,239
Écart entre enseignants0,231 · 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

Citations9
Publié2010
Routes d'admission1
Résumé présentoui

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