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Updated: Feb 8, 2026

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
Published on: December 9, 2015
Considerations from the Innovation and Quality Induction Working Group in Response to Drug-Drug Interaction Guidances
Jane R Kenny1, Diane Ramsden2, David B Buckley2
1Genentech, South San Francisco, California (J.R.K.); Boehringer Ingelheim, Ridgefield, Connecticut (D.R.); Sekisui-XenoTech LLC, Kansas City, Kansas (D.B.B.); Janssen R&D, Spring House, Pennsylvania (S.D.); Vertex Pharmaceuticals, Boston, Massachusetts (C.F., N.H.); Eli Lilly and Company, Indianapolis, Indiana (M.M.); Novartis, East Hanover, New Jersey (H.J.E.); GlaxoSmithKline, King of Prussia, Pennsylvania (L.C.); Amgen Inc., Cambridge, Massachusetts (J.G.D.); Sanofi, Waltham, Massachusetts (M.F.); Pfizer Global Research and Development, Groton, Connecticut (T.C.G.); Eisai, Andover, Massachusetts (Y.A.S.); EMD Serono R&D Institute, Inc., Billerica, Massachusetts (R.L.W.); Corning Life Sciences, Woburn, Massachusetts (G.Z.); and Merck & Co., Inc., Kenilworth, New Jersey (D.T.) kenny.jane@gene.com.
Abstract:
The Innovation and Quality Induction Working Group presents an assessment of best practice for data interpretation of in vitro induction, specifically, response thresholds, variability, application of controls, and translation to clinical risk assessment with focus on CYP3A4 mRNA. Single concentration control data and Emax/EC50 data for prototypical CYP3A4 inducers were compiled from many human hepatocyte donors in different laboratories. Clinical CYP3A induction and in vitro data were gathered for 51 compounds, 16 of which were proprietary. A large degree of variability was observed in both the clinical and in vitro induction responses; however, analysis confirmed in vitro data are able to predict clinical induction risk. Following extensive examination of this large data set, the following recommendations are proposed. a) Cytochrome P450 induction should continue to be evaluated in three separate human donors in vitro. b) In light of empirically divergent responses in rifampicin control and most test inducers, normalization of data to percent positive control appears to be of limited benefit. c) With concentration dependence, 2-fold induction is an acceptable threshold for positive identification of in vitro CYP3A4 mRNA induction. d) To reduce the risk of false positives, in the absence of a concentration-dependent response, induction ≥ 2-fold should be observed in more than one donor to classify a compound as an in vitro inducer. e) If qualifying a compound as negative for CYP3A4 mRNA induction, the magnitude of maximal rifampicin response in that donor should be ≥ 10-fold. f) Inclusion of a negative control adds no value beyond that of the vehicle control.
Insights
In vitro data accurately predict clinical drug induction risk for CYP3A4 mRNA. Recommendations include using three human donors and a 2-fold induction threshold, with specific criteria to avoid false positives and negatives.
Area of Science:
- Pharmacology and Toxicology
- Drug Metabolism and Pharmacokinetics
Background:
- In vitro induction assays are crucial for assessing drug metabolism risks.
- Variability in in vitro and clinical CYP3A4 induction responses necessitates standardized interpretation.
- Accurate translation of in vitro findings to clinical risk assessment is essential for drug development.
Purpose of the Study:
- To establish best practices for interpreting in vitro induction data, focusing on CYP3A4 mRNA.
- To define response thresholds, variability, control applications, and clinical risk translation.
- To provide recommendations for reliable in vitro assessment of drug-induced CYP3A4 expression.
Main Methods:
- Compiled and analyzed in vitro and clinical CYP3A4 induction data for 51 compounds.
- Utilized single concentration control data and Emax/EC50 data from multiple human hepatocyte donors.
- Evaluated data from various laboratories across different experimental conditions.
Main Results:
- Significant variability observed in both in vitro and clinical induction responses.
- Confirmed that in vitro data can reliably predict clinical induction risk.
- Normalization to positive controls showed limited benefit due to divergent responses.
Conclusions:
- Recommend evaluating cytochrome P450 induction in three separate human donors in vitro.
- A 2-fold induction threshold is acceptable for identifying CYP3A4 mRNA induction with concentration dependence.
- Specific criteria for multiple donors and rifampicin response magnitude are proposed to minimize false positives/negatives.
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