Fibroblast Growth Factor Receptor 1-4 Genetic Aberrations as Clinically Relevant Biomarkers in Squamous Cell Lung

Joanna Moes-Sosnowska1, Joanna Chorostowska-Wynimko1

  • 1Department of Genetics and Clinical Immunology, National Institute of Tuberculosis and Lung Diseases, Warsaw, Poland.

Frontiers in Oncology
|April 11, 2022
PubMed

Insights

Fibroblast growth factor receptor (FGFR) inhibitors show promise for squamous non-small cell lung cancer (Sq-NSCLC). FGFR mRNA overexpression, mutations, and fusions are potential predictive biomarkers, though further research is needed.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacogenomics

Background:

  • Squamous non-small cell lung cancer (Sq-NSCLC) may benefit from fibroblast growth factor receptor (FGFR) inhibitors (FGFRis).
  • Accurate patient selection for targeted therapies like FGFRis requires robust predictive biomarkers.
  • FGFR aberrations, including alterations, amplification, and overexpression, are found in Sq-NSCLC, but their clinical utility is not fully established.

Purpose of the Study:

  • To investigate FGFR aberrations as predictive biomarkers for FGFR-targeting agents in Sq-NSCLC.
  • To evaluate the potential of FGFR mRNA overexpression, mutations, and fusions in patient stratification.
  • To discuss known and potential molecular mechanisms of FGFR inhibitor resistance.

Main Methods:

  • Review of existing literature on FGFR aberrations in Sq-NSCLC.
  • Analysis of clinical data from small patient cohorts.
  • Exploration of molecular profiling techniques for biomarker discovery.

Main Results:

  • FGFR1 amplification showed unreliable predictive value.
  • FGFR mRNA overexpression, mutations, and fusions are identified as promising predictive biomarkers.
  • Current discriminatory power of these biomarkers is insufficient, necessitating larger clinical studies.

Conclusions:

  • FGFR aberrations, particularly mRNA overexpression, mutations, and fusions, hold promise as predictive biomarkers for FGFRis in Sq-NSCLC.
  • Further research with larger patient groups is required to validate these biomarkers and improve patient selection.
  • Understanding resistance mechanisms is crucial for optimizing FGFR inhibitor therapy in Sq-NSCLC.