MétaCan
Menu
← Retour à la cohorte
Enregistrement W3096392740 · doi:10.1182/blood-2020-139736

ATG and Post-Transplant Cyclophosphamide Do Not Abrogate the Inferior Outcome Risk Conferred By HLA-Α and HLA-B Mismatched Unrelated Donors

2020· article· en· W3096392740 sur OpenAlexaffabout
Igor Novitzky‐Basso, Carol Chen, Ivan Pašić, Zeyad Al‐Shaibani, Wilson Lam, Arjun Law, Armin Gerbitz, Auro Viswabandya, Jeffrey H. Lipton, Dennis Dong Hwan Kim, Rajat Kumar, Fotios V. Michelis, Jonas Mattsson

Notice bibliographique

RevueBlood · 2020
Typearticle
Langueen
DomaineMedicine
ThématiqueHematopoietic Stem Cell Transplantation
Établissements canadiensPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Organismes subventionnairesnon disponible
Mots-clésCumulative incidenceMedicineInternal medicineCyclophosphamideRetrospective cohort studyProportional hazards modelLog-rank testTransplantationIncidence (geometry)CohortOncologyImmunologyGastroenterologyChemotherapy

Résumé

récupéré en direct d'OpenAlex

Background Donor selection for allogeneic stem cell transplant is a complex process, where several factors are considered for potential impact on transplant outcome. Several publications have suggested that 9/10 mismatched unrelated donors (MMUD) may be equivalent to 10/10 MUDs. However, there is debate as to whether all 9/10 mismatches (MM) are equivalent. We sought to examine this in a single centre retrospective study using ATG followed by post transplant cyclophosphamide (ATG PTCy) as standard GvHD prophylaxis and correlated outcomes in terms of donor MM, donor age and CMV serostatus. Patients and methods A total of 414 patients who received HCT from unrelated donors between Jan 2015 and Dec 2019, at Princess Margaret Cancer Centre, Canada, were enrolled in the retrospective study. Patients and disease characteristics, and outcomes are detailed in Tables 1-3. The probability of overall survival (OS) was calculated using the Kaplan Meier product limit method and heterogeneity of time to event distribution functions was compared by the log rank test. The cumulative incidences of chronic and acute GvHD, relapse, and transplant related mortality (TRM) were estimated using the cumulative incidence method considering competing risk, and groups were compared using Gray's test. Death was considered a competing event for relapse, acute and cGvHD, and relapse was considered a competing event for NRM, acute and cGvHD. GvHD outcomes shown in Table 4. Results Median OS at 5y for the whole cohort (n=414) was 45.8% (38.2-53.0), and relapse free survival was 40.2% (32.9-47.4), with TRM at 1y 23.7% (19.6-28.0), Table 5. Compared to the whole cohort (median OS 38.8mo [21.6-NA]), patients who received grafts from MMUD (n=86) had median OS 9.2mo (6.0-17.3), p<0.001, in particular median OS for HLA-A MM was 8.1mo (5.3-18.4), HLA-B MM 5.9 (2.7-11.8) compared to other 9/10 MMUD (n=32) 18.8mo (5.7-NA), p<0.001. This was due to higher TRM at 1y, MMUD 39.1% (24.0-49.4) vs MUD (n=327) 19.2% (15.0-23.8) p<0.001 primarily due to HLA-A MM 39.6% (24.0-54.9) and HLA-B MM 35.7% (11.7-61.1), p=0.001. GVHD-Free Relapse free Survival (GRFS) at 5y for the whole cohort was 36.8% (29.7-43.9). GRFS At 2y for 9/10 MMUD was 25.2% (16.1-35.4), HLA-A MM 21.6% (9.9-36.2) HLA-B MM 15.4% (2.5-38.8) vs MUD 51.4% (45.3-57.2), p<0.001. Median OS for patients who received ATG PTCY (n=298) was 49.2mo (49.2-NA), for 9/10 (n=58) 10.2mo (6.1-19.6), with HLA-A MMUD (n=26) 9.6 mo (5.8-27.4), HLA-B MMUD (n=9) 4.6mo (1-11.8) (p<0.001), Figure. A number of donor factors significant by univariate analysis (incl. donor age, recipient/donor CMV, CD34 dose, presence of HLA MM, type of MM, female donor to male recipient), were selected to determine correlates with all mortality by multivariable analysis (MVA). The only significant factor was 9/10 MMUD HR 2.27 (1.65-3.14), p<0.0001, specifically HLA-A MM HR 2.69 (1.77-4.08), p<0.00001, HLA-B MM HR 3.14 (1.71-5.78) p=0.0002, Table 6. The same donor factors significant by univariate analysis were examined for correlation with TRM and significance was found for HLA MM HR 2.36 (1.57-3.55) p=0.00004, specifically HLA-A MM HR 2.44 (1.42-4.17), p=0.0012, HLA-B MM HR 2.39 (1.03-5.57) p=0.0034. Graft failure (GF) occurred in 4.6% of patients. Significant donor factors for GF were CD34 dose <4.0x106/kg, HR 5.28 (1.11-24.98) p=0.038; and HLA MM 2.78 (1.27-6.05) p=0.01. Of 414 patients, 395 patients (95.4%) received fresh stem cells and 19 (4.6%) received cryopreserved stem cells. Cryopreserved MUD grafts were associated with GF on MVA, HR 5.56 (1.75-17.4, p=0.0034), which may be due to several possible factors including the travel time prior to cryopreservation. Among AML patients, CMV negative patients in receipt of grafts from CMV negative donors (CMV-/-) (n=64) had worse survival (HR 2.05, 1.03-4.09, p=0.04) compared to recipient/donor pairs where any were CMV positive. There was a significantly higher relapse rate in the CMV-/- (15/64, 23.4%), compared to CMV positive (30/236, 12.2%, any combination), p=0.01 by Chi-squared test. Conclusions These data suggest that HLA-A and HLA-B mismatched donors confer a significantly inferior outcome despite the use of ATG PTCy. Cryopreserved stem cells from unrelated donors were associated with graft failure, and CMV-/- were associated with higher incidence of relapse. Further work is required to develop novel conditioning regimens and GvHD prophylaxis to mitigate these risks. Disclosures Lipton: BMS: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Ariad: Consultancy, Research Funding; Pfizer: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria; Takeda: Consultancy, Honoraria, Research Funding. Mattsson:Gilead: Honoraria; ITB: Honoraria; Takeda: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Honoraria; Mallinkrodt: Honoraria.

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)0,000
score de la tête « metaresearch » (Gemma)0,000
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: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,006

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
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)0,0020,000

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 Opus0,013
Tête enseignante GPT0,239
Écart entre enseignants0,226 · 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
Publié2020
Routes d'admission2
Résumé présentoui

Explorer davantage

Même revueBlood→Même sujetHematopoietic Stem Cell Transplantation→Travaux en français237 207→