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Enregistrement W2991263669 · doi:10.1182/blood-2019-128344

Addition of ATIR101, an Adjunctive Treatment Following T-Cell-Depleted Haploidentical HSCT, May Decrease Non-Relapse Mortality and May Improve Survival of Patients with Hematologic Malignancies, Irrespective of Prognostic Risk Factors

2019· article· en· W2991263669 sur OpenAlexaffabout
Denis‐Claude Roy, Irwin Walker, Johan Maertens, Philippe Lewalle, Eduardo Olavarría, Yves Béguin, Dominik Selleslag, Eva Wagner, Halvard Bönig, Gerard M.J. Bos, Stephan Mielke

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensMcMaster UniversityJuravinski HospitalUniversité de MontréalCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalHôpital Maisonneuve-Rosemont
Organismes subventionnairesnon disponible
Mots-clésMedicineInternal medicineHematopoietic stem cell transplantationTransplantationOncologyGastroenterologyImmunology

Résumé

récupéré en direct d'OpenAlex

Introduction ATIR101 is a donor-derived, T-cell-enriched leukocyte preparation depleted ex vivo of host-alloreactive T cells. When administered as a single, adjunctive infusion after T-cell-depleted haploidentical hematopoietic stem cell transplantation (haplo HSCT), ATIR101 may reduce serious complications resulting from delayed immune reconstitution such as infections and relapse. In a Phase II study, patients with hematologic malignancies who received ATIR101 had an overall survival (OS) of 61% and no Grade III/IV acute graft-versus-host disease (GVHD) at 1 year post HSCT (Roy DC et al. ASH 2016). Similarly, an OS rate of 55% was reported in a second Phase II study (Olavarria E et al. EHA 2018). We report multivariable and subgroup analyses of a pooled dataset from these two Phase II studies of ATIR101, compared with a dataset of control patients meeting similar inclusion/exclusion criteria who underwent T-cell-depleted haplo HSCT without ATIR101, to assess the impact of potential prognostic factors on survival outcomes. Methods After showing comparability allowing the pooling of data, 1-year outcomes from two Phase II studies (CR-AIR-007, NCT01794299; CR-AIR-008, NCT02500550; data cut-off June 1, 2018) including 32 adult patients who received ATIR101 (2.0 × 106 cells/kg) were compared with a historic control of 35 patients treated with a T-cell-depleted haplo HSCT without ATIR101 in centers participating in ATIR101 trials (CR-AIR-006, NCT02188290). Patients with a hematologic malignancy (acute myeloid leukemia [AML], acute lymphoblastic leukemia [ALL], or myelodysplastic syndromes [MDS]) underwent myeloablative or reduced-intensity conditioning with or without total body irradiation (TBI) followed by a CD34+-selected stem cell graft from a haploidentical family donor. ATIR101, prepared from the same donor, was given approximately 28 days post HSCT to patients in the ATIR101 group without prophylactic immunosuppression post HSCT. Post hoc multivariable Cox regressions for non-relapse mortality (NRM) and OS were performed on the pooled ATIR101 and control datasets adjusting for treatment, diagnosis, conditioning regimen, remission status, European Society for Blood and Marrow Transplantation risk score, and total number of viable CD34+ (× 106 cells/kg) given to patients. Variables recognized as clinically important were forced into the model regardless of whether they were statistically significant. Results Overall, patient characteristics at baseline were balanced across groups (ATIR101 vs historic control): median age at HSCT (range) was 43 years (31-51) vs 43 years (28-54); patients had AML (66% vs 71%), ALL (28% vs 11%), or MDS (6% vs 17%); patients underwent myeloablative conditioning (100% vs 94%) with TBI (47% vs 66%) and were in complete remission (100% vs 83%) prior to transplantation. The incidence of Grade III/IV acute GVHD was similar in the ATIR101 and control groups (6%); however, only patients in the control group experienced severe chronic GVHD (2/35). Compared with the control group, the ATIR101 group showed a lower cumulative incidence of NRM (28% vs 66%; hazard ratio [HR]: 0.31; 95% confidence interval [95% CI]: 0.15-0.67; p=0.002) and a higher OS rate (63% vs 20%; HR: 0.34; 95% CI: 0.17-0.69; p=0.002). Adjusting for potential prognostic factors, the benefit of ATIR101 was confirmed in a multivariable analysis for both NRM (HR: 0.27; 95% CI: 0.09-0.78; p=0.016) and OS (HR: 0.28; 95% CI: 0.11-0.70; p=0.006; Table). The addition of ATIR101 treatment following T-cell-depleted haplo HSCT improved survival outcomes compared with T-cell-depleted haplo HSCT alone, irrespective of patient baseline characteristics, as shown in the subgroup analyses (Figure). Conclusions A single infusion of ATIR101 after a T-cell-depleted haplo HSCT in patients with hematologic malignancies appears to improve survival outcomes compared with a T-cell-depleted haplo HSCT alone. After adjusting for potential prognostic risk factors, the multivariable analysis appears to support the clinical benefit of ATIR101 on NRM and OS at 1 year post HSCT. A large, global, randomized Phase 3 study is currently enrolling to further examine the efficacy and safety of T-cell-depleted haplo HSCT + ATIR101 compared with T-cell-replete haplo HSCT with post-transplant cyclophosphamide (HATCY; NCT02999854). Disclosures Roy: Hopital Maisonneuve-Rosemont: Patents & Royalties: Author on patent; University of Montreal: Patents & Royalties: Author on patent; Kiadis Pharma: Other: Travel support. Walker:Kiadis Pharma: Other: Grant funding via institution (as a principal investigator). Maertens:Astellas Pharma: Other: Personal fees and non-financial support; Cidara: Other: Personal fees and non-financial support; F2G: Other: Personal fees and non-financial support; Gilead Sciences: Other: Grants, personal fees and non-financial support; Merck: Other: Personal fees and non-financial support; Pfizer: Other: Grant and personal fees; Amplyx: Other: Personal fees and non-financial support. Olavarria:Kiadis Pharma: Consultancy, Honoraria. Selleslag:Novartis: Consultancy, Honoraria, Speakers Bureau; Celyad: Other: Clinical trial research (no honoraria recieved). Wagner:Pfizer: Other: Advisory board; Novartis: Other: Advisory board; MEDAC: Other: Travel support; MSD: Other: Advisory board. Bönig:Kiadis Pharma: Other: Contract manufacturing of ATIR101; Celgene, Novartis, Sandoz Hexal: Consultancy; Sandoz Hexal, Uniqure: Research Funding; Miletenyi: Speakers Bureau. Bos:Celgene: Research Funding; Kiadis Pharma: Other: Shareholder (of Cytosen, acquired by Kiadis). Mielke:ISCT: Other: Travel support; Jazz Pharma: Honoraria, Other: Travel support, Speakers Bureau; DGHO: Other: Travel support.

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)0,002
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: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,020
Tête enseignante GPT0,277
Écart entre enseignants0,257 · 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

Citations0
Publié2019
Routes d'admission2
Résumé présentoui

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