Mechanistic patterns and clinical implications of oncogenic tyrosine kinase fusions in human cancers

Taek-Chin Cheong1, Ahram Jang2,3, Qi Wang2

  • 1Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, MA, 02115, USA. taekchin.cheong@childrens.harvard.edu.

Nature Communications
|June 14, 2024
PubMed

Insights

Tyrosine kinase (TK) fusions in cancer arise from specific gene arrangements. Active transcription and protein stability determine which fusions are selected, impacting targeted therapy response.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Tyrosine kinase (TK) fusions are common in cancer, driving initiation and resistance to targeted therapies.
  • The mechanisms and clinical significance behind recurrent TK fusion patterns remain unclear.
  • Understanding these patterns is crucial for improving cancer treatment strategies.

Purpose of the Study:

  • To elucidate the molecular determinants governing the formation and selection of oncogenic TK fusions.
  • To differentiate between typical and atypical TK fusions based on functional and clinical outcomes.
  • To provide insights into guiding targeted therapy for cancer patients.

Main Methods:

  • Development and application of Functionally Active Chromosomal Translocation Sequencing (FACTS).
  • Analysis of chromosomal rearrangements involving key TK genes (ALK, ROS1, RET, NTRK1).
  • Assessment of gene transcription, protein stability, and downstream signaling in fusion events.

Main Results:

  • Typical TK fusions are selected by active transcription of partner genes and protein stability.
  • Atypical TK fusions exhibit reduced protein stability and oncogenic signaling.
  • Patients with atypical TK fusions showed poorer response to tyrosine kinase inhibitor (TKI) therapies.

Conclusions:

  • Active transcription and protein stability are key principles in oncogenic TK fusion formation and selection.
  • Atypical TK fusions represent a distinct category with implications for therapeutic resistance.
  • Findings have direct clinical relevance for optimizing targeted cancer therapy.

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