Landscape of potentially targetable receptor tyrosine kinase fusions in diverse cancers by DNA-based profiling

Tiantian Wang1, Li Wei1, Qiang Lu2

  • 1Department of Medical Oncology and Guangdong Key Laboratory of Liver Disease, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510000, China.

NPJ Precision Oncology
|November 12, 2022
PubMed

Insights

Receptor tyrosine kinase (RTK) fusions are common in solid tumors, offering diagnostic insights and therapeutic targets. DNA sequencing effectively identifies these fusions, aiding in personalized cancer treatment strategies.

Area of Science:

  • Oncology
  • Genomics
  • Molecular Biology

Background:

  • Recurrent receptor tyrosine kinase (RTK) fusions are key drivers in tumorigenesis.
  • These fusions possess diagnostic value and are targets for tyrosine kinase inhibitors (TKIs).
  • Understanding the landscape of RTK fusions is crucial for advancing cancer therapy.

Purpose of the Study:

  • To characterize the spectrum of RTK fusions with intact kinase domains in solid tumors.
  • To investigate the prevalence, genomic structures, and fusion partners of RTK fusions.
  • To explore co-mutational patterns and TKI resistance mechanisms associated with RTK fusions.

Main Methods:

  • DNA-based high-throughput sequencing was employed to analyze 1324 RTK fusions.
  • Comprehensive genomic profiling was conducted to assess co-occurring mutations and TKI treatment effects.
  • Analysis included identification of fusion variants and resistance mutations.

Main Results:

  • RTK fusions were identified in 4.7% of solid tumors, with significant variation across cancer types.
  • Most RTKs showed promiscuous fusion partner gene recombination, often involving intergenic regions.
  • Differences in co-mutational patterns and resistance mechanisms were observed, with EML4-ALK v3 exhibiting complex resistance.

Conclusions:

  • Screening for RTK fusions using DNA sequencing holds significant diagnostic and prognostic value in solid tumors.
  • RTK fusions provide actionable targets for TKI therapy.
  • Understanding fusion variants and resistance mechanisms is key to optimizing TKI treatment efficacy.

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