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Utilizing ctDNA to discover mechanisms of resistance to targeted therapies in patients with metastatic NSCLC: towards more informative trials

  • Institut Gustave Roussy
  • Université Paris-Saclay
  • Dana-Farber Cancer Institute
  • Netherlands Cancer Institute
  • Leiden University
  • Hospital Clinic de Barcelona
  • August Pi i Sunyer Biomedical Research Institute
  • Royal Marsden NHS Foundation Trust
  • Ohio State University

Research output: Contribution to journalArticleAcademicpeer-review

15 Citations (Scopus)
73 Downloads (Pure)

Abstract

Advances in targeted therapies for patients with non-small-cell lung cancer have substantially improved the outcomes of those with actionable alterations in certain oncogenic driver genes. However, acquired resistance to these targeted therapies remains a major challenge. Understanding the mechanisms underlying acquired resistance will be crucial for the development of strategies that might either overcome this effect or delay the onset. Circulating tumour DNA, owing to the need for only minimally invasive sampling and a potential role as both a prognostic and predictive biomarker, is increasingly being used in both research and clinical practice. Several studies have explored the landscape of acquired resistance to targeted therapies using this approach. However, the methodologies of the published studies vary widely, and several major challenges remain in addressing the practical difficulties associated with these methods. These challenges currently limit the depth of research insight provided by the available data. In this Perspective, we review clinical reports describing the use of circulating tumour DNA to detect mechanisms of acquired resistance to targeted therapies, predominantly in patients with advanced-stage non-small-cell lung cancer, and highlight key unresolved questions with the aim of moving towards more-informative research studies.

Original languageEnglish
Article number105074
Pages (from-to)371-378
Number of pages8
JournalNature Reviews Clinical Oncology
Volume22
Issue number5
DOIs
Publication statusPublished - May 2025

Bibliographical note

Publisher Copyright:
© Springer Nature Limited 2025.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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