MétaCan
Menu
Retour à la cohorte
Enregistrement W2625960167 · doi:10.1182/blood.v128.22.682.682

Long-Term Outcome of Allogeneic Hematopoietic Stem Cell Transplantation (HSCT) for Chronic Lymphocytic Leukemia (CLL): 10-Year Follow-up of the Gcllsg CLL3X Trial

2016· article· en· W2625960167 sur OpenAlexaboutno aff
Isabelle Krämer, Stephan Stilgenbauer, Sascha Dietrich, Sebastian Böttcher, Matthias Ritgen, Donald Bunjes, Matthias Zeis, Michael Stadler, Joerg Thomas Bittenbring, Ute Hegenbart, Michael Hallek, Michael Kneba, Norbert Schmitz, Hartmut Döhner, Peter Dreger

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueChronic Lymphocytic Leukemia Research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicineFludarabineCumulative incidenceChronic lymphocytic leukemiaInternal medicineHematopoietic stem cell transplantationTransplantationIncidence (geometry)SurgeryOncologyLeukemiaCyclophosphamideChemotherapy

Résumé

récupéré en direct d'OpenAlex

Abstract PURPOSE of this analysis was to provide 10-year follow-up of the GCLLSG CLL3X trial which aimed at evaluating reduced-intensity conditioning (RIC) HSCT in patients with poor-risk CLL. DESIGN: The CLL3X trial included 100 patients (median age 53 (27-65) years), of whom 90 patients were allografted with blood stem cells from related (40%) or unrelated donors (60%) using fludarabine-alkylator-based RIC regimens. 24% had refractory CLL at HSCT, and 37% had a TP53 deletion and/or mutation. The 6-year follow-up of the trial including the observation that genetic risk factors such as TP53 lesions and SF3B1 and NOTCH1 mutations had no prognostic impact has been previously reported (Blood 2013;119:4851). Survival and relapse information was requested for all patients who underwent HSCT within the CLL3X trial in 9 German centres (the Canadian centre was unavailable for follow-up) and were alive at the 6-year follow-up. RESULTS: Follow-up information was received for 33/44 patients (75%) alive at the 6-year follow-up. Of these, 2 patients had experienced non-relapse mortality (NRM; 1 chronic GVHD, 1 secondary cancer) and another 2 had CLL recurrence 9.3 and 9.7 years post HSCT, respectively. With a median follow-up of survivors of 9.3 (0.6-15.5) years, 10-year NRM, relapse incidence (REL) event-free survival (EFS), and overall survival (OS) of all 90 patients allografted was 26%, 57%, 32%, and 51%, respectively. Absence of minimal residual disease (MRD) at the 12-month landmark post HSCT was highly predictive for an increased relapse risk (10-year REL 25% vs 80% if MRD was present at the 12-month landmark, p <0.0001), in particular if MRD eradication occurred only after immunosuppression withdrawal, suggesting of effective graft-versus-leukemia activity (GVL; 10-year REL 12%). In the 33 patients who were event-free at the 6-year landmark, NRM, REL, EFS, and OS 4 years after the 6-year landmark was 4%, 24%, 74%, and 93% (median follow-up after 6-year landmark 4.1 (0.1-8.5) years) without any effect of TP53 lesions on relapse risk. Notably, no relapse event occurred beyond 10 years post HSCT. Only one out of 33 patients included in the 6-year landmark analysis died from CLL, 4 relapsed patients are currently responding to pathway inhibitors, and the remaining patient with CLL recurrence still does not need treatment. CONCLUSIONS: Long-term observation of patients allografted in the CLL3X trial confirms that RIC HSCT can provide GVL-mediated sustained disease control in a sizable proportion of patients with poor-risk CLL independent of the TP53 status. Patients who are in MRD-negative remission one year after HSCT have a 75% probability of remaining disease-free at least for 10 years. However, late relapses do occur but may benefit from strategies involving innovative pathway inhibitors. Disclosures Krämer: Gilead: Other: Travel grants; MSD: Honoraria. Stilgenbauer:AbbVie: Consultancy, Honoraria, Other: Travel grants, Research Funding; Hoffmann-La Roche: Consultancy, Honoraria, Other: Travel grants , Research Funding; Janssen: Consultancy, Honoraria, Other: Travel grants , Research Funding; Novartis: Consultancy, Honoraria, Other: Travel grants , Research Funding; Genzyme: Consultancy, Honoraria, Other: Travel grants , Research Funding; Pharmacyclics: Consultancy, Honoraria, Other: Travel grants , Research Funding; Boehringer Ingelheim: Consultancy, Honoraria, Other: Travel grants , Research Funding; Amgen: Consultancy, Honoraria, Other: Travel grants, Research Funding; Genentech: Consultancy, Honoraria, Other: Travel grants , Research Funding; Gilead: Consultancy, Honoraria, Other: Travel grants , Research Funding; Mundipharma: Consultancy, Honoraria, Other: Travel grants , Research Funding; GSK: Consultancy, Honoraria, Other: Travel grants , Research Funding; Celgene: Consultancy, Honoraria, Other: Travel grants , Research Funding; Sanofi: Consultancy, Honoraria, Other: Travel grants , Research Funding. Böttcher:Hoffmann-LaRoche: Honoraria, Other: Travel grants, Research Funding; Celgene: Research Funding; AbbVie: Honoraria, Research Funding. Ritgen:Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding. Hegenbart:Jansen Cilag: Honoraria, Other: financial support of conference participation. Hallek:F. Hoffmann-LaRoche: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Amgen: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Janssen-Cilag: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Gilead: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Mundipharma: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; AbbVie: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau. Kneba:Amgen: Research Funding; Gilead: Consultancy, Honoraria, Other: Travel grants, Research Funding; Glaxo-SmithKline: Other: Travel grants; Roche: Consultancy, Honoraria, Other: Travel grants, Research Funding; AbbVie: Consultancy, Honoraria, Other: Travel grants; Janssen-Cilag: Consultancy, Honoraria, Other: Travel grants. Dreger:Gilead: Consultancy; Novartis: Consultancy; Gilead: Speakers Bureau; Novartis: Speakers Bureau; Janssen: Consultancy; Roche: Consultancy.

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)0,005
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: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,026

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0050,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,002
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 Opus0,030
Tête enseignante GPT0,293
Écart entre enseignants0,263 · 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'étudeEssai non randomisé
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

Citations3
Publié2016
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueBloodMême sujetChronic Lymphocytic Leukemia ResearchTravaux en français237 207