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Enregistrement W4417011298 · doi:10.1182/blood-2025-2369

INO-transit: Inotuzumab ozogamicin treatment prior to chimeric antigen receptor T-cell therapy in Relapsed/Refractory B-cell acute lymphoblastic leukemia: Real-world patient characteristics and outcomes in Spain, the UK and US

2025· article· en· W4417011298 sur OpenAlexaff
Núria Martínez‐Cibrián, Valentin Ortiz-Maldonado, Cristina Blázquez Goñi, Pere Barba, Mónica Cabrero Calvo, Ryan D. Cassaday, Lindsay George, Mi Kwon, Guru Subramanian Guru Murthy, Emma Nicholson, Deborah Richardson, Marc S. Schwartz, Hannah Wallis, Stephanie Dorman, Susana Pulido, Emma Reeves, Wei Jiang, Mona Amet, Ivana Rajkovic-Potjewyd, Neil A Reynolds, A. Smith, David I. Marks, Anna Castleton

Notice bibliographique

RevueBlood · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensSociété de Protection des Forêts contre les Insectes et Maladies
Organismes subventionnairesnon disponible
Mots-clésBlinatumomabChimeric antigen receptorGemtuzumab ozogamicinMinimal residual diseaseSalvage therapyAcute lymphocytic leukemiaCytokine release syndromeHematopoietic stem cell transplantation

Résumé

récupéré en direct d'OpenAlex

Abstract Introduction:Inotuzumab ozogamicin (InO) is a CD22-targeted antibody drug conjugate approved for relapsed/refractory B-cell acute lymphoblastic leukemia (R/R B-ALL). InO has shown promising results as a component of transitioning therapy prior to chimeric antigen receptor T-cell therapy (CAR-T) (Kantarjian et al., 2019). However, real-world data on the use and outcomes of InO prior to or as a bridging therapy to CAR-T remain limited (Laetsch et al. 2023; Shah et al. 2021; Lin et al. 2024). The INO-TRANSIT study aimed to describe the real-world demographics, clinical characteristics and treatment outcomes in R/R B-ALL patients treated with InO prior to CAR-T. Methods:Data were drawn from an observational chart review of patients with R/R B-ALL receiving InO prior to CAR-T from sites in Spain, the UK and the US from December 2024–June 2025. Patients were ≥18 years at index and received InO to facilitate CD19-directed CAR-T (even if CAR-T was not administered). Electronic case report forms captured patient demographics, clinical characteristics and treatment outcomes. Index was first InO dose (01 June 2017 onwards), with a minimum follow-up of three months post-index. Overall survival (OS) and time to next treatment (TTNT) were evaluated via Kaplan-Meier estimations (with 95% CIs). Results:Of the 84 patients analyzed, median (IQR) age was 40.0 (24.0, 59.0) years, 78.6% were White and 57.1% were male. Most patients (73.2%) had relapsed disease, 25.5% were refractory. 20.2% of patients had extramedullary disease at their R/R B-ALL diagnosis. Prior to index, 35.7% of patients received a hematopoietic stem cell transplant, 31.0% received blinatumomab and 4.8% received InO. At index, 14.3% of patients were Philadelphia chromosome (Ph) positive, 6.0% were Ph-like and 25.0% of patients had other cytogenetic abnormalities. Median (IQR) bone marrow blast (BMB) count was 62.5% (18.0%, 89.5%). All patients underwent at least 1 cycle of InO prior to CAR-T, 21.4% received 2 cycles and 3.6% received ≥3 cycles. Most patients (73.8%) received InO as a monotherapy. Overall, 45.3% of patients first received InO prior to apheresis and 54.7% between apheresis and CAR-T infusion. Upon InO completion, 46.5% of patients achieved CR, CR with partial hematologic recovery (CRh) or CR with incomplete hematologic recovery (CRi). 26.2% of patients were refractory to InO and 9.5% had progressive disease. Of those assessed (n=65), 41.5% tested negative for minimal residual disease (MRD) after their first and 43.1% after their last cycle of InO. Median (IQR) BMB count after last dose of InO was 2.0% (0.0%, 41.0%), and 66.0% patients had BMB <5%. Median (IQR) TTNT was 35.0 (22.0, 57.0) days, inclusive of CAR-T initiation. Leukapheresis was performed successfully on all patients (n=84); 71 (84.5%) received CAR-T infusion, 9 (10.7%) received another therapy and 4 (4.8%) went into palliative care. CAR-T treatment details were available for 64 patients. Of these, 29.7% received tisagenlecleucel, 34.4% received brexucabtagene autoleucel and 35.9% received another CD19-directed CAR-T product. CAR-T was infused as salvage 1 (34.4%), salvage 2 (29.7%) or salvage 3 or later (26.6%). Overall, 76.7% (n=56/73) of patients achieved CR/CRh/CRi after CAR-T or another therapy. A further 6.8% had refractory disease and 6.8% had progressive disease. CR was maintained for 68.8% of patients until six months after CAR-T. After infusion, 35.9% of patients had B-cell recovery. At 12 months after CAR-T infusion, an estimated 72.5% patients survived and 62.4% had not initiated another salvage therapy. Median OS was not reached. Most patients were alive at the time of data collection (57.3%). Of those who died (42.7%), ALL disease progression was responsible in 82.9% of patients while 11.4% died due to ALL treatment-related causes. Veno-occlusive disease (VOD) was diagnosed in 7.1% of patients at any point during their ALL treatment; a further 4.8% had suspected VOD. 46.4% of patients were diagnosed with neutropenic sepsis at any point during their diagnosis and treatment. Conclusions:Most patients who received InO prior to CAR-T successfully received treatment, achieving CR after CAR-T. Leukapheresis after InO treatment was feasible, with meaningful 12-month post-CAR-T OS, and the incidence of VOD at any time was low. While larger, comparative studies are required to determine optimal strategies before CAR-T, this study suggests that InO may be used effectively prior to CAR-T.

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)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,035

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,000
Science ouverte0,0000,001
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 Opus0,011
Tête enseignante GPT0,267
Écart entre enseignants0,256 · 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
Publié2025
Routes d'admission1
Résumé présentoui

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