A Canadian Blood and Marrow Transplant Group (CBMTG) Randomised Trial Comparing G-CSF Mobilized Peripheral Blood Versus G-CSF Stimulated Bone Marrow In Recipients Of Sibling Allografts For Hematologic Malignancies
Notice bibliographique
Résumé
Abstract G-CSF mobilized peripheral blood (G-PB) allografts lead to faster hematologic recovery than marrow grafts, but with more chronic GvHD(cGvHD). We hypothesized that G-CSF stimulated marrow (G-BM) may result in faster hematological recovery with less cGvHD. Methods We conducted a Phase III randomised multicenter trial of matched sibling G-PB vs G-BM allografts in adults with hematologic malignancies. The primary endpoint was time to treatment failure defined as the first occurrence of extensive cGvHD, relapse or death from any cause. Thirteen centers in Canada, Saudi Arabia, U.S., Australia and New Zealand enrolled patients. Adaptive stratification (minimization) balanced treatment groups by center, disease, disease risk and conditioning. Donors received G-CSF 5 mg/kg/d sc for 4 or 5 days and underwent apheresis on Day 5 and, if necessary, on Day 6 or marrow harvest on Day 5. Eligible recipients between 16 and 65 years received myeloablative conditioning and cyclosporine/methotrexate as GvHD prophylaxis. The study began before widespread adoption of the NIH GvHD consensus guidelines so cGvHD was characterized as limited or extensive. Immunophenotyping and functional assays performed on donor cells were correlated with incidence of cGvHD. Results Between 2007 and 2012, 230 sibling donor-recipients were randomized to receive either a G-PB or G-BM allograft; 3 randomized to G-PB and 4 to G-BM were inevaluable (4 relapsed before transplant, 1 donor withdrew before collection, 1 recipient withdrew consent and 1 was ineligible (non-myeloablative conditioning)). Indication for allograft was AML (109; 49%), ALL (57; 25%); MDS/MPD(31; 14%), CML(13; 6%), lymphoproliferative disorder(NHL/MCL/CLL)(12; 5%) and biphenotypic leukemia(1). 77(70%)(G-PB) and 71(63%)(G-BM) recipients had low-risk disease (AML or ALL in CR1, RA, RARS, CML in 1st CP). Donor and recipient ages, sex and CMV immune status were balanced between groups. Donors tolerated mobilization well although one donor (G-PB) died of a cardiac event while receiving G-CSF. Median nucleated cells per kg were 7.59x108 (2.73-18.64) and 5.92x108 (0.94-13.23) in the G-PB and G-BM arms respectively (P<0.0001). Median CD34 cells per kg were 5.50x106 (2.03-23.94) and 3.22x106 (0.29-8.71) respectively (P<0.0001). 94% of G-PB donors underwent 1 apheresis. Median volume of harvested G-BM was 1127mL (350-1731mL). With a median follow-up of 36 months (range 9.6-48), using Cox proportional hazards multivariable modelling adjusted for the 4 minimization factors, time to treatment failure did not differ significantly between arms (HR 0.91; 95% CI 0.68-1.22; P= 0.52). There was a significantly delayed time to onset of overall cGvHD in the G-BM arm (HR=0.66; 95% CI 0.46-0.95; P=0.03) but time to onset of extensive cGvHD did not differ significantly between arms (HR=0.76; 95% CI 0.52-1.10; P=0.15). Other results are shown below: Evaluation of donor immune populations showed that IFNg+ CD4 T cells and CD56bright NK cells were protective against cGvHD in G-PB and G-BM recipients. In contrast, specific B cell populations consistent with memory or exhausted B cells were associated with cGvHD in G-PB recipients (CD19+CD27+, p=0.05, CD19+ CD21lo, p=0.009) but not in G-BM. Conclusions In this large prospective randomized trial, the primary endpoint of time to treatment failure did not differ between G-PB and G-BM. OS and RFS were also not significantly different between arms. Neutrophil and platelet recovery were slower by a median of 3 days with G-BM. However, time to overall cGvHD was significantly delayed in G-BM recipients with non-significant trends of less acute and less extensive cGvHD with G-BM. cGvHD correlated with different cell populations in G-PB and G-BM suggesting that donor source can influence the mechanism of cGvHD. Further analyses are underway to determine the clinical impact of these differences. 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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».