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Yadav J, Maldonato BJ, Roesner JM, Vergara AG, Paragas EM, Aliwarga T, Humphreys S. Enzyme-mediated drug-drug interactions: a review of in vivo and in vitro methodologies, regulatory guidance, and translation to the clinic. Drug Metab Rev 2024:1-33. [PMID: 39057923 DOI: 10.1080/03602532.2024.2381021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 07/12/2024] [Indexed: 07/28/2024]
Abstract
Enzyme-mediated pharmacokinetic drug-drug interactions can be caused by altered activity of drug metabolizing enzymes in the presence of a perpetrator drug, mostly via inhibition or induction. We identified a gap in the literature for a state-of-the art detailed overview assessing this type of DDI risk in the context of drug development. This manuscript discusses in vitro and in vivo methodologies employed during the drug discovery and development process to predict clinical enzyme-mediated DDIs, including the determination of clearance pathways, metabolic enzyme contribution, and the mechanisms and kinetics of enzyme inhibition and induction. We discuss regulatory guidance and highlight the utility of in silico physiologically-based pharmacokinetic modeling, an approach that continues to gain application and traction in support of regulatory filings. Looking to the future, we consider DDI risk assessment for targeted protein degraders, an emerging small molecule modality, which does not have recommended guidelines for DDI evaluation. Our goal in writing this report was to provide early-career researchers with a comprehensive view of the enzyme-mediated pharmacokinetic DDI landscape to aid their drug development efforts.
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Affiliation(s)
- Jaydeep Yadav
- Department of Pharmacokinetics, Dynamics, Metabolism & Bioanalytics (PDMB), Merck & Co., Inc., Boston, MA, USA
| | - Benjamin J Maldonato
- Department of Nonclinical Development and Clinical Pharmacology, Revolution Medicines, Inc., Redwood City, CA, USA
| | - Joseph M Roesner
- Department of Pharmacokinetics, Dynamics, Metabolism & Bioanalytics (PDMB), Merck & Co., Inc., Boston, MA, USA
| | - Ana G Vergara
- Department of Pharmacokinetics, Dynamics, Metabolism & Bioanalytics (PDMB), Merck & Co., Inc., Rahway, NJ, USA
| | - Erickson M Paragas
- Pharmacokinetics and Drug Metabolism Department, Amgen Research, South San Francisco, CA, USA
| | - Theresa Aliwarga
- Pharmacokinetics and Drug Metabolism Department, Amgen Research, South San Francisco, CA, USA
| | - Sara Humphreys
- Pharmacokinetics and Drug Metabolism Department, Amgen Research, South San Francisco, CA, USA
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Fudio S, Sellers A, Pérez Ramos L, Gil-Alberdi B, Zeaiter A, Urroz M, Carcas A, Lubomirov R. Anti-cancer drug combinations approved by US FDA from 2011 to 2021: main design features of clinical trials and role of pharmacokinetics. Cancer Chemother Pharmacol 2022; 90:285-299. [PMID: 36029310 DOI: 10.1007/s00280-022-04467-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 08/16/2022] [Indexed: 11/24/2022]
Abstract
During the last decade, the treatment for many cancer indications has evolved due to intensive clinical research into anti-tumor agents' combination. In most instances, new combination treatments consist of an add-on to the standard of care (SOC), which then demonstrate a substantial gain in efficacy and no detrimental effect in tolerability. In the era of targeted therapies, for which maximum tolerated dose (MTD)-based dosing strategies are no longer applicable, early stage studies exploring new combinations are often conducted in the population of interest, expediting the collection of preliminary safety data, to be promptly expanded to collect preliminary efficacy data. Nevertheless, rule-based dose-finding studies are still a prevailing approach for early stage cancer, especially for chemotherapy (CT)-containing combinations. Pharmacokinetic (PK) assessments play a key role throughout the clinical development of drug combinations, informing potential PK interactions. But most importantly, they allow the development of innovative exposure-response (E-R) models aimed at exploring the contribution of each agent to the overall effect of the combination therapy. This review identifies 81 new drug combinations approved by the United States Food and Drug Administration (FDA) for hemato-oncology during the 2011-2021 period and summarizes the main design features of clinical trials and the role of PK assessments.
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Affiliation(s)
- Salvador Fudio
- Pharma Mar S.A, Avda. de los Reyes, 1, Polígono Industrial "La Mina", 28770, Colmenar Viejo (Madrid, Spain
| | - Alvaro Sellers
- Pharma Mar S.A, Avda. de los Reyes, 1, Polígono Industrial "La Mina", 28770, Colmenar Viejo (Madrid, Spain
| | - Laura Pérez Ramos
- Pharma Mar S.A, Avda. de los Reyes, 1, Polígono Industrial "La Mina", 28770, Colmenar Viejo (Madrid, Spain
| | | | - Ali Zeaiter
- Pharma Mar S.A, Avda. de los Reyes, 1, Polígono Industrial "La Mina", 28770, Colmenar Viejo (Madrid, Spain
| | - Mikel Urroz
- Clinical Pharmacology Department, La PAZ University Hospital-Idipaz, Universidad Autónoma DE Madrid, Madrid, Spain
| | - Antonio Carcas
- Clinical Pharmacology Department, La PAZ University Hospital-Idipaz, Universidad Autónoma DE Madrid, Madrid, Spain
| | - Rubin Lubomirov
- Pharma Mar S.A, Avda. de los Reyes, 1, Polígono Industrial "La Mina", 28770, Colmenar Viejo (Madrid, Spain.
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Lesko LJ, Lagishetty CV. Are We Getting the Best Return on Investment From Clinical Drug-Drug Interaction Studies? J Clin Pharmacol 2015; 56:555-8. [PMID: 26470760 DOI: 10.1002/jcph.661] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2015] [Revised: 10/12/2015] [Accepted: 10/13/2015] [Indexed: 11/09/2022]
Affiliation(s)
- Lawrence J Lesko
- Center for Pharmacometrics and Systems Pharmacology, University of Florida College of Pharmacy, Orlando, Florida, USA
| | - Chakradhar V Lagishetty
- Center for Pharmacometrics and Systems Pharmacology, University of Florida College of Pharmacy, Orlando, Florida, USA
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Paller CJ, Bradbury PA, Ivy SP, Seymour L, LoRusso PM, Baker L, Rubinstein L, Huang E, Collyar D, Groshen S, Reeves S, Ellis LM, Sargent DJ, Rosner GL, LeBlanc ML, Ratain MJ. Design of phase I combination trials: recommendations of the Clinical Trial Design Task Force of the NCI Investigational Drug Steering Committee. Clin Cancer Res 2015; 20:4210-7. [PMID: 25125258 DOI: 10.1158/1078-0432.ccr-14-0521] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Anticancer drugs are combined in an effort to treat a heterogeneous tumor or to maximize the pharmacodynamic effect. The development of combination regimens, while desirable, poses unique challenges. These include the selection of agents for combination therapy that may lead to improved efficacy while maintaining acceptable toxicity, the design of clinical trials that provide informative results for individual agents and combinations, and logistic and regulatory challenges. The phase I trial is often the initial step in the clinical evaluation of a combination regimen. In view of the importance of combination regimens and the challenges associated with developing them, the Clinical Trial Design (CTD) Task Force of the National Cancer Institute Investigational Drug Steering Committee developed a set of recommendations for the phase I development of a combination regimen. The first two recommendations focus on the scientific rationale and development plans for the combination regimen; subsequent recommendations encompass clinical design aspects. The CTD Task Force recommends that selection of the proposed regimens be based on a biologic or pharmacologic rationale supported by clinical and/or robust and validated preclinical evidence, and accompanied by a plan for subsequent development of the combination. The design of the phase I clinical trial should take into consideration the potential pharmacokinetic and pharmacodynamic interactions as well as overlapping toxicity. Depending on the specific hypothesized interaction, the primary endpoint may be dose optimization, pharmacokinetics, and/or pharmacodynamics (i.e., biomarker).
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Affiliation(s)
- Channing J Paller
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Hospital, Baltimore
| | | | - S Percy Ivy
- National Cancer Institute, Bethesda, Maryland
| | - Lesley Seymour
- NCIC Clinical Trials Group, Queen's University, Kingston, Ontario, Canada
| | | | | | | | - Erich Huang
- National Cancer Institute, Bethesda, Maryland
| | | | - Susan Groshen
- Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California
| | | | - Lee M Ellis
- University of Texas MD Anderson Cancer Center, Houston, Texas
| | | | - Gary L Rosner
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins Hospital, Baltimore
| | - Michael L LeBlanc
- Fred Hutchinson Cancer Research Center, Cancer Research and Biostatistics, Seattle, Washington
| | - Mark J Ratain
- The University of Chicago, Department of Medicine, Chicago, Illinois; and
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Teo YL, Ho HK, Chan A. Metabolism-related pharmacokinetic drug-drug interactions with tyrosine kinase inhibitors: current understanding, challenges and recommendations. Br J Clin Pharmacol 2015; 79:241-53. [PMID: 25125025 PMCID: PMC4309630 DOI: 10.1111/bcp.12496] [Citation(s) in RCA: 107] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2014] [Accepted: 08/12/2014] [Indexed: 12/16/2022] Open
Abstract
Drug-drug interactions (DDIs) occur when a patient's response to the drug is modified by administration or co-exposure to another drug. The main cytochrome P450 (CYP) enzyme, CYP3A4, is implicated in the metabolism of almost all of the tyrosine kinase inhibitors (TKIs). Therefore, there is a substantial potential for interaction between TKIs and other drugs that modulate the activity of this metabolic pathway. Cancer patients are susceptible to DDIs as they receive many medications, either for supportive care or for treatment of toxicity. Differences in DDI outcomes are generally negligible because of the wide therapeutic window of common drugs. However for anticancer agents, serious clinical consequences may occur from small changes in drug metabolism and pharmacokinetics. Therefore, the objective of this review is to highlight the current understanding of DDIs among TKIs, with a focus on metabolism, as well as to identify challenges in the prediction of DDIs and provide recommendations.
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Affiliation(s)
- Yi Ling Teo
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore
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