Risk‐Based Pharmacokinetic and Drug–Drug Interaction Characterization of Antibody–Drug Conjugates in Oncology Clinical Development: An International Consortium for Innovation and Quality in Pharmaceutical Development Perspective. Issue 4 (23rd November 2021)
- Record Type:
- Journal Article
- Title:
- Risk‐Based Pharmacokinetic and Drug–Drug Interaction Characterization of Antibody–Drug Conjugates in Oncology Clinical Development: An International Consortium for Innovation and Quality in Pharmaceutical Development Perspective. Issue 4 (23rd November 2021)
- Main Title:
- Risk‐Based Pharmacokinetic and Drug–Drug Interaction Characterization of Antibody–Drug Conjugates in Oncology Clinical Development: An International Consortium for Innovation and Quality in Pharmaceutical Development Perspective
- Authors:
- Li, Chunze
Menon, Rajeev
Walles, Markus
Singh, Renu
Upreti, Vijay V.
Brackman, Deanna
Lee, Anthony J.
Endres, Christopher J.
Kumar, Seema
Zhang, Donglu
Barletta, Frank
Suri, Ajit
Hainzl, Dominik
Liao, Kai H.
Lalovic, Bojan
Beaumont, Maribel
Zuo, Peiying
Mayer, Andrew P.
Wei, Dong - Abstract:
- Abstract : Antibody–drug conjugates (ADCs) represent a rapidly evolving area of drug development and hold significant promise. To date, nine ADCs have been approved by the US Food and Drug Administration (FDA). These conjugates combine the target specificity of monoclonal antibodies with the anticancer activity of small‐molecule therapeutics (also referred to as payload). Due to the complex structure, three analytes, namely ADC conjugate, total antibody, and unconjugated payload, are typically quantified during drug development; however, the benefits of measuring all three analytes at later stages of clinical development are not clear. The cytotoxic payloads, upon release from the ADC, are considered to behave like small molecules. Given the relatively high potency and low systemic exposure of cytotoxic payloads, drug–drug interaction (DDI) considerations for ADCs might be different from traditional small molecule therapeutics. The International Consortium for Innovation and Quality in Pharmaceutical Development (IQ Consortium) convened an ADC working group to create an IQ ADC database that includes 26 ADCs with six unique payloads. The analysis of the ADC data in the IQ database, as well as nine approved ADCs, supports the strategy of pharmacokinetic characterization of all three analytes in early‐phase development and progressively minimizing the number of analytes to be measured in the late‐phase studies. The systemic concentrations of unconjugated payload are usually tooAbstract : Antibody–drug conjugates (ADCs) represent a rapidly evolving area of drug development and hold significant promise. To date, nine ADCs have been approved by the US Food and Drug Administration (FDA). These conjugates combine the target specificity of monoclonal antibodies with the anticancer activity of small‐molecule therapeutics (also referred to as payload). Due to the complex structure, three analytes, namely ADC conjugate, total antibody, and unconjugated payload, are typically quantified during drug development; however, the benefits of measuring all three analytes at later stages of clinical development are not clear. The cytotoxic payloads, upon release from the ADC, are considered to behave like small molecules. Given the relatively high potency and low systemic exposure of cytotoxic payloads, drug–drug interaction (DDI) considerations for ADCs might be different from traditional small molecule therapeutics. The International Consortium for Innovation and Quality in Pharmaceutical Development (IQ Consortium) convened an ADC working group to create an IQ ADC database that includes 26 ADCs with six unique payloads. The analysis of the ADC data in the IQ database, as well as nine approved ADCs, supports the strategy of pharmacokinetic characterization of all three analytes in early‐phase development and progressively minimizing the number of analytes to be measured in the late‐phase studies. The systemic concentrations of unconjugated payload are usually too low to serve as a DDI perpetrator; however, the potential for unconjugated payloads as a victim still exists. A data‐driven and risk‐based decision tree was developed to guide the assessment of a circulating payload as a victim of DDI. … (more)
- Is Part Of:
- Clinical pharmacology & therapeutics. Volume 112:Issue 4(2022)
- Journal:
- Clinical pharmacology & therapeutics
- Issue:
- Volume 112:Issue 4(2022)
- Issue Display:
- Volume 112, Issue 4 (2022)
- Year:
- 2022
- Volume:
- 112
- Issue:
- 4
- Issue Sort Value:
- 2022-0112-0004-0000
- Page Start:
- 754
- Page End:
- 769
- Publication Date:
- 2021-11-23
- Subjects:
- Pharmacology -- Periodicals
Therapeutics -- Periodicals
615.5 - Journal URLs:
- http://www.nature.com/clpt/index.html ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1532-6535 ↗
http://www.nature.com/ ↗
http://firstsearch.oclc.org ↗
http://www.mosby.com/cpt ↗
http://www.sciencedirect.com/science/journal/00099236 ↗
http://www2.us.elsevierhealth.com/scripts/om.dll/serve?action=searchDB&searchdbfor=home&id=cp ↗ - DOI:
- 10.1002/cpt.2448 ↗
- Languages:
- English
- ISSNs:
- 0009-9236
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3286.330000
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