Expert Consensus on the Diagnosis and Treatment of FGFR Gene-Altered Solid Tumors

Chunwei Xu1,2, Bin Lian3, Juanjuan Ou4

  • 1Department of Scientific Research, Institute of Cancer and Basic Medicine (ICBM), Chinese Academy of Sciences, Hangzhou Zhejiang 310022, People's Republic of China.

Global Medical Genetics
|November 25, 2024
PubMed

Insights

Fibroblast growth factor receptor (FGFR) mutations drive cancer, but FGFR inhibitors offer clinical benefits. Standardizing diagnostic and treatment approaches for FGFR variants is essential for effective targeted therapy.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Fibroblast growth factor receptor (FGFR) is a receptor tyrosine kinase vital for normal cellular functions.
  • Aberrant FGFR signaling, through mutations, fusions, or amplifications, contributes to various cancers.
  • Targeted therapies like FGFR inhibitors have demonstrated clinical efficacy in specific cancer types.

Purpose of the Study:

  • To establish an expert consensus for standardizing the diagnosis and treatment of FGFR gene mutations.
  • To facilitate the clinical application of FGFR inhibitors in cancer patients.
  • To guide the selection of appropriate detection methods for FGFR variants.

Main Methods:

  • Review of current literature on FGFR mutations and targeted therapies.
  • Expert panel discussions to reach a consensus on diagnostic and treatment strategies.
  • Evaluation of various detection methods including PCR, NGS, FISH, and IHC.

Main Results:

  • FGFR alterations are implicated in cancer development by disrupting epigenetic and transcriptional regulation.
  • Approved FGFR inhibitors (erdafitinib, pemigatinib) show efficacy in specific FGFR-mutated cancers.
  • Effective screening for FGFR variants is critical for patient selection.

Conclusions:

  • Standardized diagnostic and treatment protocols for FGFR mutations are needed.
  • Expert consensus aims to optimize the use of FGFR inhibitors in clinical practice.
  • Appropriate selection of detection methods is key for guiding treatment decisions.