Generation of Antibody-Drug Conjugate Resistant Models

Lucía Gandullo-Sánchez1, Alberto Ocaña2,3, Atanasio Pandiella1

  • 1Instituto de Biología Molecular y Celular del Cáncer, CSIC, IBSAL and CIBERONC, 37007 Salamanca, Spain.

Cancers
|September 28, 2021
PubMed

Insights

Antibody-drug conjugates (ADCs) are vital cancer treatments, but resistance can occur. Developing preclinical models is crucial for understanding and overcoming ADC resistance in oncology.

Area of Science:

  • Oncology
  • Pharmacology
  • Cancer Research

Background:

  • Antibody-drug conjugates (ADCs) have become important cancer therapies, with 11 approved by the FDA and others in development.
  • Tumor resistance to ADCs is a significant clinical challenge, necessitating research into resistance mechanisms and mitigation strategies.

Purpose of the Study:

  • To highlight the critical role of preclinical models in understanding and overcoming antibody-drug conjugate (ADC) resistance.
  • To discuss strategies for generating and utilizing models for both primary and secondary ADC resistance.

Main Methods:

  • Utilizing isolated primary tumor cells, cell lines, or patient-derived xenografts to study inherent (primary) resistance to ADCs.
  • Generating models of acquired (secondary) resistance through continuous or intermittent treatment of cancer cell lines or tumors with ADCs.

Main Results:

  • Preclinical models, including those derived from patient samples, are essential for investigating why some tumors resist ADCs despite antigen expression.
  • Established methods for inducing secondary resistance provide valuable tools for studying adaptive tumor responses to ADC therapy.

Conclusions:

  • Understanding ADC resistance mechanisms through robust preclinical models is key to improving cancer treatment efficacy.
  • Developing strategies to overcome resistance is essential for maximizing the therapeutic potential of antibody-drug conjugates in oncology.

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