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Enregistrement W2579757892 · doi:10.1182/blood.v120.21.414.414

Results From the Dose Escalation Phase of a Randomized Phase 1–2 First-in-Human (FIH) Study of SGI-110, a Novel Low Volume Stable Subcutaneous (SQ) Second Generation Hypomethylating Agent (HMA) in Patients with Relapsed/Refractory MDS and AML

2012· article· en· W2579757892 sur OpenAlexaff
Hagop M. Kantarjian, Gail J. Roboz, David A. Rizzieri, Wendy Stock, Casey L. O’Connell, Elizabeth A. Griffiths, Karen Yee, Raoul Tibes, Guillermo Garcia‐Manero, Farhad Ravandi, Katherine Walsh, Eric J. Feldman, Ellen K. Ritchie, Arati V. Rao, Carlos Decastro, Aaron D. Schimmer, Ruben A. Mesa, Ibrahim Syed, Gavin Choy, Aram Oganesian, Pietro Taverna, Mohammad Azab, Woonbok Chung, Jean‐Pierre J. Issa

Notice bibliographique

RevueBlood · 2012
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Myeloid Leukemia Research
Établissements canadiensPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésDecitabineTolerabilityMedicineHypomethylating agentRegimenNeutropeniaPhases of clinical researchPharmacodynamicsPharmacokineticsInternal medicineNauseaAdverse effectFebrile neutropeniaPharmacologyOncologyClinical trialToxicityChemistry

Résumé

récupéré en direct d'OpenAlex

Abstract Abstract 414 Background: SGI-110 is a dinucleotide of decitabine (DAC) and deoxyguanosine formulated as a low volume and pharmaceutically stable SQ injection allowing more extended decitabine exposure than DAC IV infusion. The anticipated differentiated PK profile offers the potential of improved biological and clinical activity and safety over currently available HMAs. Methods: A randomized Phase 1–2 FIH Pharmacokinetics/Pharmacodynamics (PK/PD)-guided, dose-escalation study has been conducted in patients with relapsed/refractory intermediate or high-risk MDS or AML. The objective of the first stage (dose escalation) is to determine safety and tolerability and to establish the Maximum Tolerated Dose (MTD) and Biologically Effective Dose (BED). Patients were randomized to one of two SQ regimens (dailyx5 or once weeklyx3, 28-day courses). PD is evaluated by LINE-1 global DNA hypomethylation. The second stage (dose expansion) is to determine the clinical activity and safety in AML and MDS using the established BED and MTD. We report here the results of the dose escalation phase which has completed enrolment. Results: 78 patients (64 AML, 14 MDS) were enrolled in the dose escalation phase: 44 patients in the dailyx5 regimen and 34 in the weeklyx3 regimen. Median age was 69 years (range 29–86), 65% were male, and 82% had ECOG PS of 0–1. Median number of prior regimens was 3 (range 1–9), 59% of patients had prior HMA treatment (50% of AML patients, and 100% of MDS patients). Six patients are still ongoing treatment. The PK profile demonstrated efficient conversion of SGI-110 to decitabine as predicted from the SGI-110 rational design, resulting in longer decitabine exposure window (beyond 8 hrs) compared to DAC IV (3–4 hrs). At SGI-110 dose range of 60–125 mg/m2, observed mean decitabine AUCs (88–231 ng*hr/mL) reach or exceed the therapeutic range seen with 20 mg/m2 DAC IV (115 ng*hr/mL) while achieving only a small fraction of the Cmax (26–64 ng/mL vs 146 ng/mL for DAC IV). The effective half-life for decitabine after SQ SGI-110 injection appeared to be prolonged (up to 4-fold or ∼2.4 hrs) compared to DAC IV (0.58 hrs). Decitabine exposures (AUC) increased in a dose-proportional manner regardless of the regimen and no accumulation was observed. Dose-related LINE-1 hypomethylation was observed in patients treated with the daily regimen between 18 and 60 mg/m2; a plateau in maximum average hypomethylation (∼25%) was evident at higher daily doses (90-125 mg/m2) and therefore the BED for the dailyx5 schedule is established at 60 mg/m2. The 25% average hypomethylation of LINE-1 compares favorably with that observed historically after DAC IV at the dose of 20 mg/m2 dailyx5. The extent of LINE-1 hypomethylation after weeklyx3 SGI-110 was inferior as the maximum average hypomethylation plateaued at ∼8% from baseline. Starting at 36 mg/m2 daily and 60 mg/m2 weekly (44 AML, and 7 MDS patients), clinical responses were observed: 2CRs, 1CRp, and 1CRi in heavily pretreated AML patients; 1 mCR and 1 HI in MDS patients previously treated with azacitidine. All responses were in patients who achieved >10% LINE-1 hypomethylation. The most common Adverse Events (AEs), regardless of relationship to SGI-110, were diarrhea (21%), febrile neutropenia (17%), fatigue/injection site pain/nausea at 15% each. The most common drug-related AEs were injection site pain (15%), fatigue (8%), nausea (6%), and thrombocytopenia (5%). MTD was not reached with the weekly regimen up to 125 mg/m2 weeklyx3. With the daily regimen, 125 mg/m2dailyx5 resulted in 2 Dose-Limiting Toxicities (DLTs) of febrile neutropenia in 3 MDS patients (1 associated with bacteremia, and the other with sepsis and thrombocytopenia Grade 4) while none of the 9 patients with AML had DLT at that dose. Conclusions: SGI-110 is well tolerated at doses higher than BED which is established at 60 mg/m2 dailyx5 where average hypomethylation of ∼25% was achieved. MTD estimated to be 90 mg/m2 dailyx5 for MDS and 125 mg/m2dailyx5 for AML patients. SQ administration of SGI-110 achieved efficient conversion to decitabine resulting in an improved PK profile over DAC IV. Clinical responses were observed in this heavily pretreated population and they seem to correlate with the extent of LINE-1 hypomethylation. Study is currently enrolling patients in the dose-expansion Phase 2 stage. Disclosures: Kantarjian: Astex Pharmaceuticals: Research Funding. Roboz:Astex Pharmaceuticals: Research Funding. Rizzieri:Astex Pharmaceuticals: Research Funding. Stock:Astex Pharmaceuticals: Research Funding. O'Connell:Astex Pharmaceuticals: Research Funding. Griffiths:Astex Pharmaceuticals: Research Funding. Yee:Astex Pharmaceuticals: Research Funding. Tibes:Astex Pharmaceuticals: Research Funding. Garcia-Manero:Astex Pharmaceuticals: Research Funding. Ravandi:Astex Pharmaceuticals: Research Funding. Walsh:Astex Pharmaceuticals: Research Funding. Feldman:Astex Pharmaceuticals: Research Funding. Ritchie:Astex Pharmaceuticals: Research Funding. Rao:Astex Pharmaceuticals: Research Funding. Decastro:Astex Pharmaceuticals: Research Funding. Schimmer:Astex Pharmaceuticals: Research Funding. Mesa:Astex Pharmaceuticals: Research Funding. Syed:Astex Pharmaceuticals: Research Funding. Choy:Astex Pharmaceuticals: Employment. Oganesian:Astex Pharmaceuticals: Employment. Taverna:Astex Pharmaceuticals: Employment. Azab:Astex Pharmaceuticals: Employment. Chung:Astex Pharmaceuticals: Research Funding. Issa:Astex Pharmaceuticals: Honoraria, Research Funding.

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)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Essai randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,584
Score d'incertitude au seuil0,676

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
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 Opus0,025
Tête enseignante GPT0,288
Écart entre enseignants0,263 · 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'étudeEssai 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

Citations19
Publié2012
Routes d'admission1
Résumé présentoui

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