Targeting MET and EGFR crosstalk signaling in triple-negative breast cancers

Erik S Linklater1, Elizabeth A Tovar1, Curt J Essenburg1

  • 1Center for Cancer and Cell Biology, Van Andel Research Institute, Grand Rapids, Michigan, USA.

Oncotarget
|September 23, 2016
PubMed

Insights

Dual inhibition of MET and EGFR shows promise for treating triple-negative breast cancer (TNBC). Combined therapies effectively reduced tumor growth and improved treatment consistency compared to single-agent treatments.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Therapeutics

Background:

  • Triple-negative breast cancer (TNBC) lacks targeted therapies, relying primarily on chemotherapy.
  • Tyrosine kinases, including MET and EGFR, are highly expressed in TNBC and represent potential therapeutic targets.
  • Signaling crosstalk between receptor tyrosine kinases (RTKs) can lead to therapeutic resistance.

Purpose of the Study:

  • To evaluate the heterogeneity of MET and EGFR expression in TNBC.
  • To determine the efficacy of dual MET and EGFR inhibition in preclinical TNBC models.
  • To investigate if combined inhibition overcomes resistance associated with single-agent therapies.

Main Methods:

  • Analysis of MET and EGFR expression and activation in primary and metastatic TNBC tumorgrafts.
  • Treatment of TNBC models with MET inhibitors (MGCD265 or crizotinib) and/or an EGFR inhibitor (erlotinib).
  • Assessment of tumor growth inhibition and treatment response variability.

Main Results:

  • Combined MET and EGFR inhibition with MGCD265/erlotinib or crizotinib/erlotinib significantly abrogated tumor growth.
  • Dual inhibition markedly decreased the variability in treatment response compared to monotherapy.
  • Demonstrated heterogeneity in MET and EGFR expression and activation across TNBC tumorgrafts.

Conclusions:

  • Combined MET and EGFR inhibition is a potentially effective therapeutic strategy for TNBC.
  • Dual inhibition may overcome resistance mechanisms driven by RTK crosstalk.
  • Understanding RTK signaling architecture is crucial for developing improved TNBC treatments.

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