Model Informed Dosing Regimen and Phase I Results of the Anti-PD-1 Antibody Budigalimab (ABBV-181).


Journal

Clinical and translational science
ISSN: 1752-8062
Titre abrégé: Clin Transl Sci
Pays: United States
ID NLM: 101474067

Informations de publication

Date de publication:
01 2021
Historique:
received: 09 04 2020
accepted: 22 06 2020
pubmed: 10 8 2020
medline: 26 10 2021
entrez: 10 8 2020
Statut: ppublish

Résumé

Budigalimab is a humanized, recombinant, Fc mutated IgG1 monoclonal antibody targeting programmed cell death 1 (PD-1) receptor, currently in phase I clinical trials. The safety, efficacy, pharmacokinetics (PKs), pharmacodynamics (PDs), and budigalimab dose selection from monotherapy dose escalation and multihistology expansion cohorts were evaluated in patients with previously treated advanced solid tumors who received budigalimab at 1, 3, or 10 mg/kg intravenously every 2 weeks (Q2W) in dose escalation, including Japanese patients that received 3 and 10 mg/kg Q2W. PK modeling and PK/PD assessments informed the dosing regimen in expansion phase using data from body-weight-based dosing in the escalation phase, based on which patients in the multihistology expansion cohort received flat doses of 250 mg Q2W or 500 mg every four weeks (Q4W). Immune-related adverse events (AEs) were reported in 11 of 59 patients (18.6%), of which 1 of 59 (1.7%) was considered grade ≥ 3 and the safety profile of budigalimab was consistent with other PD-1 targeting agents. No treatment-related grade 5 AEs were reported. Four responses per Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1 were reported in the dose escalation cohort and none in the multihistology expansion cohort. PK of budigalimab was approximately dose proportional and sustained > 99% peripheral PD-1 receptor saturation was observed by 2 hours postdosing, across doses. PK/PD and safety profiles were comparable between Japanese and Western patients, and exposure-safety analyses did not indicate any trends. Observed PK and PD-1 receptor saturation were consistent with model predictions for flat doses and less frequent regimens, validating the early application of PK modeling and PK/PD assessments to inform the recommended dose and regimen, following dose escalation.

Identifiants

pubmed: 32770720
doi: 10.1111/cts.12855
pmc: PMC7877859
doi:

Substances chimiques

Antibodies, Monoclonal, Humanized 0
Immune Checkpoint Inhibitors 0
PDCD1 protein, human 0
Programmed Cell Death 1 Receptor 0
Recombinant Proteins 0

Banques de données

ClinicalTrials.gov
['NCT03000257']

Types de publication

Clinical Trial, Phase I Journal Article Multicenter Study Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

277-287

Informations de copyright

© 2020 AbbVie Inc. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of the American Society for Clinical Pharmacology and Therapeutics.

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Auteurs

John Powderly (J)

Carolina BioOncology Institute, Huntersville, North Carolina, USA.

Alexander Spira (A)

Virginia Cancer Specialists, Fairfax, Virginia, USA.
Johns Hopkins School of Medicine, Baltimore, Maryland, USA.

Shunsuke Kondo (S)

Department of Experimental Therapeutics, National Cancer Center Hospital, Tokyo, Japan.

Toshihiko Doi (T)

Department of Experimental Therapeutics, National Cancer Center Hospital East, Kashiwa, Japan.

Jason J Luke (JJ)

Division of Hematology/Oncology, UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA.

Drew Rasco (D)

START Center for Cancer Care, San Antonio, Texas, USA.

Bo Gao (B)

Blacktown Cancer and Haematology Centre, Blacktown, Australia.

Minna Tanner (M)

Department of Oncology, Tampere University Hospital, Tampere, Finland.

Philippe A Cassier (PA)

Department of Medical Oncology, Centre Léon Bérard, Lyon, France.

Anas Gazzah (A)

Drug Development Department, Gustave Roussy Université Paris-Saclay, Villejuif, France.

Antoine Italiano (A)

Department of Medical Oncology, Institut Bergonié, Bordeaux, France.

Diego Tosi (D)

Department of Medical Oncology, Institut Régional du Cancer de Montpellier, Montpellier, France.

Daniel E Afar (DE)

Oncology Early Development, AbbVie, Inc., Redwood City, California, USA.

Apurvasena Parikh (A)

Clinical Pharmacology and Pharmacometrics, AbbVie, Inc., Redwood City, California, USA.

Benjamin Engelhardt (B)

Clinical Pharmacology and Pharmacometrics, AbbVie Deutschland GmbH & Co. KG, Ludwigshafen am Rhein, Germany.

Stefan Englert (S)

Data and Statistical Sciences, AbbVie Deutschland GmbH & Co KG, Ludwigshafen, Germany.

Stacie L Lambert (SL)

Oncology Early Development, AbbVie, Inc., Redwood City, California, USA.

Sreeneeranj Kasichayanula (S)

Clinical Pharmacology and Pharmacometrics, AbbVie, Inc., Redwood City, California, USA.

Sven Mensing (S)

Clinical Pharmacology and Pharmacometrics, AbbVie Deutschland GmbH & Co. KG, Ludwigshafen am Rhein, Germany.

Rajeev Menon (R)

Clinical Pharmacology and Pharmacometrics, AbbVie Inc., North Chicago, Illinois, USA.

Gregory Vosganian (G)

Oncology Early Development, AbbVie, Inc., Redwood City, California, USA.

Anthony Tolcher (A)

Next Oncology, San Antonio, Texas, USA.

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Classifications MeSH