Comprehensive Multiplatform Tyrosine Kinase Profiling Reveals Novel Actionable FGFR Aberrations across Sarcomas

Ashleigh M Fordham1, Lauren M Brown2, Chelsea Mayoh3

  • 1Children's Cancer Institute Australia Randwick Australia.

Insights

Pediatric sarcoma patients may benefit from tyrosine kinase (TK) inhibitors. This study identifies TK RNA expression as a biomarker for TK pathway activity and predicts sensitivity to TK-targeted therapies in specific sarcoma subtypes.

Area of Science:

  • Oncology
  • Genomics
  • Pharmacology

Background:

  • Limited targeted therapies exist for pediatric sarcomas, with tyrosine kinase (TK) inhibitors showing variable efficacy.
  • A key challenge is the lack of predictive biomarkers to guide TK-targeted treatment selection.
  • While TK-activating mutations are rare, TK RNA overexpression is common, but its link to pathway activation is unclear.

Purpose of the Study:

  • To investigate the TK molecular landscape in pediatric sarcoma patients.
  • To identify biomarkers predicting response to TK inhibitors.
  • To explore therapeutic strategies targeting TK pathways in sarcomas.

Main Methods:

  • Whole genomic and transcriptomic sequencing of 107 pediatric sarcoma patients.
  • Phosphoproteomic analysis of tyrosine phosphorylation (pY).
  • In vitro and in vivo functional assays using cell lines and patient-derived xenografts (PDXs).

Main Results:

  • Novel actionable genomic driver lesions were rare but identified, including an LSM1-FGFR1 fusion in osteosarcoma.
  • TK RNA expression can correlate with TK pathway activity and predict inhibitor sensitivity in specific contexts.
  • FGFR-inhibitors showed efficacy in PAX3-FOXO1 fusion-positive rhabdomyosarcomas (FP-RMS) with high FGFR4/FGF8 expression and FGFR4 activation.

Conclusions:

  • Identified actionable genomic alterations in pediatric sarcomas.
  • Demonstrated the utility of TK RNA expression as a predictive biomarker for TK inhibitor response.
  • Highlighted FGFR-inhibitors as a promising therapeutic strategy for FP-RMS, supported by preclinical and clinical data.

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