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Enregistrement W4389221450 · doi:10.1182/blood-2023-173991

Safety, Pharmacodynamic, and Anti-Tumor Activity of SL-172154 As Monotherapy and in Combination with Azacitidine (AZA) in Relapsed/Refractory (R/R) Acute Myeloid Leukemia (AML) and Higher-Risk Myelodysplastic Syndromes/Neoplasms (HR-MDS) Patients (pts)

2023· article· en· W4389221450 sur OpenAlexaff
Naval Daver, Anthony S. Stein, Dale L. Bixby, Wanxing Chai‐Ho, Joshua F. Zeidner, Keri Maher, Don A. Stevens, Maximilian Stahl, Karen Yee, Emily Curran, Sawa Ito, Andrew Sochacki, David A. Sallman, Robert Hernandez, Simon Metenou, Bo Ma, Kazunobu Kato, Amer M. Zeidan

Notice bibliographique

RevueBlood · 2023
Typearticle
Langueen
DomaineImmunology and Microbiology
ThématiquePhagocytosis and Immune Regulation
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésMedicinePharmacodynamicsAzacitidineMyelodysplastic syndromesInternal medicineLenalidomideOncologyNeutropeniaGemtuzumab ozogamicinPharmacologyPharmacokineticsToxicityCD33Bone marrowStem cellCD34Multiple myelomaChemistryBiology

Résumé

récupéré en direct d'OpenAlex

Background: CD47 blocking antibodies and SIRPα-Fc fusion proteins have demonstrated activity in combination with azacitidine (AZA) in previously untreated (UnTx) HR-MDS and AML pts. SL-172154 (SIRPα-Fc-CD40L), a hexameric, bi-functional fusion protein consisting of SIRPα domains linked to CD40L domains through an inert Fc linker demonstrated improved anti-tumor activity in comparison to naked CD47 blocking antibodies in pre-clinical studies [de Silva et al. Cancer Immunol Res 2020]. SL-172154, as a CD47 inhibitor, requires combination with AZA to enhance pro-phagocytic signals on leukemic stem cells/blasts thereby potentiating macrophage phagocytosis in AML/HR-MDS. Here we report the results from the Phase 1 Dose Escalation. cohorts for SL-172154 monotherapy [SL-mono] and for SL-172154 + AZA combination [SL-AZA] in pts with HR-MDS or AML. Methods: The objectives of the dose escalation cohorts include evaluation of safety, dose-limiting toxicity (DLT), recommended phase 2 dose, pharmacokinetic and pharmacodynamic effects and efficacy per IWG 2006 for MDS and ELN 2017 for AML. SL-172154 was administered IV weekly of a 28-day cycle as monotherapy or with AZA 75 mg/m 2 for 7 days per cycle. mTPI-2 was used for dose escalation with a DLT threshold of 20%. Pts ≥ 18 years old with R/R HR-MDS or R/R AML were eligible for dose escalation cohorts. In addition, UnTx pts with TP53 mutant (TP53m)-MDS were eligible for SL-AZA cohorts. Results: As of May 25, 2023, 37 pts were enrolled (19 in SL-mono; 18 in SL-AZA cohorts): 14 women; median age 70 years [range 44-81]. 27 pts had R/R AML (16 de novo; 11 secondary), 5 had R/R MDS, and 5 were UnTx TP53m-MDS. 23 (85%) of 27 R/R AML pts had adverse genetic abnormalities per 2017 ELN classification, including 9 (33%) with TP53m or del 17. The median number of prior lines of AML therapy was 2 [range 1-4]; 25 (93%) had received venetoclax (VEN) and 23 (85%) had received a hypomethylating agent (HMA). All 5 pts with R/R MDS had previously received HMA and 2 pts were previously treated with VEN. SL-172154 was dose escalated as monotherapy or with AZA as shown in Table 1. Infusion-related reactions (IRRs) were the most common SL-172154-related treatment-emergent AEs (TEAEs) reported in 13 (68%) and 8 (44%) pts in SL-mono and SL-AZA cohorts, respectively. IRRs (51 events) were Grade (G) 1 or 2 except for 3 G3 events (1 each at 6 mg/kg SL-mono and SL-AZA; 1 at 3 mg/kg SL-mono). Other SL-172154-related TEAEs observed in ≥ 3 pts were AST increased (4; 21%), ALT increased (3; 16%) and nausea (3; 17%) in SL-mono cohorts, and nausea (3; 17%) in SL-AZA cohorts. All events of AST/ALT increased were transient. Only one DLT (G3 IRR in the 6 mg/kg SL-AZA cohort) was reported, which required a dose reduction to 3 mg/kg. As of July 10, 2023, in SL-mono cohorts, 1 pt with R/R AML post 7+3, FLAG and VEN/AZA achieved Morphologic Leukemia-Free State (blast reduction from 19% to <5%) after 1 cycle of 6 mg/kg SL-172154 and proceeded to allogeneic hematopoietic cell transplant (allo-HCT) after cycle 2. In 12 evaluable pts with R/R AML receiving SL-AZA, although no objective responses (OR) were observed, relative reduction in bone marrow (BM) blasts from baseline was reported in 2/5 pts at 1 mg SL-AZA (-50%, -75%) and 5/7 pts at 3 mg SL-AZA (ranging from -35% to -90%). One pt underwent an allo-HCT. In 4 evaluable pts with UnTx TP53m-MDS, the ORs were 1 complete remission (CR), 1 marrow CR, and 2 stable disease. 2 of them proceeded to allo-HCT. SL-172154 induced elevations in serum IL-12p40, IP-10, IL-8, IL-10, MIP3α and MCP1: greater response at 3 mg/kg compared to 1 mg/kg while similar between 3 and 6 mg/kg. In the BM, SL-172154 induced a dose-dependent increase in phagocytic cells (CD11b, HLA-DR, CD16, CD36 and CD64) within mature myeloid immune cell compartments (CD45highCD34-). Reduction in leukemic blasts (CD45lowCD34+) was associated with an increase in mature myeloid and phagocytic cell phenotypes (3 mg/kg SL-AZA > 1 mg/kg SL-AZA). Conclusions: SL-172154 was well tolerated up to 3 mg/kg as monotherapy and in combination with AZA. Preliminary efficacy signals were detected in UnTx TP53m-MDS and R/R AML. A response to SL-172154 monotherapy, dose-dependent increases in serum cytokines and accumulation of mature myeloid cells in BM suggest a potential role for CD40 stimulation. Based on the safety, preliminary efficacy and pharmacodynamic activity, 3 mg/kg SL-172154+ AZA is being evaluated in treatment naïve pts with TP53m AML and HR-MDS.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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 enseignants0,608
Score d'incertitude au seuil0,996

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
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)0,0000,000

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 Opus0,006
Tête enseignante GPT0,223
Écart entre enseignants0,216 · 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 tête enseignante, 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

Citations5
Publié2023
Routes d'admission1
Résumé présentoui

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