Literature DB >> 30319936

Pharmacometric Applications and Challenges in the Development of Therapeutic Antibodies in Immuno-Oncology.

Lei Diao1, Bernd Meibohm2.   

Abstract

PURPOSE OF REVIEW: Monoclonal antibodies targeting key checkpoints in immune stimulatory pathways have over the last years become the mainstay of cancer immunotherapy. This article provides a brief review of the application and key impact of pharmacometrics and quantitative clinical pharmacology approaches in the development of these novel biologics. RECENT
FINDINGS: The clinical development and selection of optimal dosing regimens for monoclonal antibodies used in immune-oncology has been facilitated by an extensive application of pharmacometric approaches to characterize the exposure-response relationship for major efficacy and safety endpoints. These analysis techniques were applied for the anti CTLA-4 antibody ipilimumab, as well as the anti PD1/PD-L1 antibodies nivolumab, pembrolizumab, avelumab, atezolizumab and durvalumab. The utilization of quantitative clinical pharmacology, including model-based analyses, did not only support the identification of efficacious doses with acceptable safety limits, but was also able to address complicating challenges such as time- and response-dependent changes in antibody clearance as observed for most compounds.
SUMMARY: A widespread and systematic application of pharmacometric approaches has provided key aspects in elucidating, interpreting and integrating preclinical, biochemical and clinical data in support of the development of safe and efficacious dosing regimens of monoclonal antibodies used in immuno-oncology, thereby facilitating the clinical use of this promising new class of biologics in cancer patients with unmet medical needs.

Entities:  

Keywords:  Immuno-oncology; PD1; PDL1; monoclonal antibody; pharmacometrics; quantitative clinical pharmacology

Year:  2018        PMID: 30319936      PMCID: PMC6181227          DOI: 10.1007/s40495-018-0142-5

Source DB:  PubMed          Journal:  Curr Pharmacol Rep        ISSN: 2198-641X


  36 in total

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6.  Using Model-Based "Learn and Confirm" to Reveal the Pharmacokinetics-Pharmacodynamics Relationship of Pembrolizumab in the KEYNOTE-001 Trial.

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Review 9.  Pembrolizumab: Role of Modeling and Simulation in Bringing a Novel Immunotherapy to Patients With Melanoma.

Authors:  R de Greef; J Elassaiss-Schaap; M Chatterjee; D C Turner; M Ahamadi; M Forman; D Cutler; D P de Alwis; A Kondic; J Stone
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10.  Population Pharmacokinetics of Durvalumab in Cancer Patients and Association With Longitudinal Biomarkers of Disease Status.

Authors:  Paul G Baverel; Vincent F S Dubois; Chao Yu Jin; Yanan Zheng; Xuyang Song; Xiaoping Jin; Pralay Mukhopadhyay; Ashok Gupta; Phillip A Dennis; Yong Ben; Paolo Vicini; Lorin Roskos; Rajesh Narwal
Journal:  Clin Pharmacol Ther       Date:  2018-02-02       Impact factor: 6.875

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