Non-constant mean relative potency for antibody-dependent cellular cytotoxicity assays

Bioassays are regulated, analytical methods used to ensure proper activity (potency) of biological products at release and during long-term storage. Potency is commonly reported on a relative basis by comparing and calibrating a concentration-response curve from the test material to that of a reference standard material. The relative potency approach depends on an assumption that the two concentration-response curves exhibit similar (equivalent) shapes, except for a potency shift. In certain circumstances, however, biological factors preclude the similarity assumption, and the traditional approach becomes unworkable. The antibody-mediated cytotoxicity assay is one example where the similarity assumption does not always hold. Other examples also arise in the fields of toxicology and pharmacology. In this work, we present a non-constant mean relative potency approach which averages the relative potency across a common range of the concentration-response curves. The proposed method captures the changing nature of the relative potency into a summary statistic that can be reported for batch calibration and quality control purposes. We provide inferential methods for this statistic and summarize the results of a simulation comparing these methods across a number of non-constant relative potency scenarios and assay conditions.

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Publication Details

Journal
Journal of Biopharmaceutical Statistics
Published
2024-09-22
DOI
https://doi.org/10.1080/10543406.2024.2403435
Citations
1
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
0.40
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article

Non-constant mean relative potency for antibody-dependent cellular cytotoxicity assays

Steven Novick, Tianhui Zhang, Paul Faya, W. J. Walton
1 citations
Journal of Biopharmaceutical Statistics
Monoclonal and Polyclonal Antibodies Research
0.40
article

Non-constant mean relative potency for antibody-dependent cellular cytotoxicity assays

Steven Novick, Tianhui Zhang, Paul Faya, W. J. Walton
article en
1 citations

Abstract

Bioassays are regulated, analytical methods used to ensure proper activity (potency) of biological products at release and during long-term storage. Potency is commonly reported on a relative basis by comparing and calibrating a concentration-response curve from the test material to that of a reference standard material. The relative potency approach depends on an assumption that the two concentration-response curves exhibit similar (equivalent) shapes, except for a potency shift. In certain circumstances, however, biological factors preclude the similarity assumption, and the traditional approach becomes unworkable. The antibody-mediated cytotoxicity assay is one example where the similarity assumption does not always hold. Other examples also arise in the fields of toxicology and pharmacology. In this work, we present a non-constant mean relative potency approach which averages the relative potency across a common range of the concentration-response curves. The proposed method captures the changing nature of the relative potency into a summary statistic that can be reported for batch calibration and quality control purposes. We provide inferential methods for this statistic and summarize the results of a simulation comparing these methods across a number of non-constant relative potency scenarios and assay conditions.

Journal of Biopharmaceutical Statistics
Eli Lilly (United States) (US), Takeda (United States) (US)
Zero hunger
Openalex Percentile: Top 35%
Monoclonal and Polyclonal Antibodies Research
0.40
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Non-constant mean relative potency for antibody-dependent cellular cytotoxicity assays — Steven Novick, Tianhui Zhang, et al. · Journal of Biopharmaceutical Statistics (2024) | TGRS Research Map | TGRS