Only a subset of Met-activated pathways are required to sustain oncogene addiction

Andrea Bertotti1, Mike F Burbridge, Stefania Gastaldi

  • 1Division of Molecular Oncology, Institute for Cancer Research and Treatment (IRCC), University of Torino Medical School, 10060 Candiolo (Torino), Italy.

Science Signaling
|December 31, 2009
PubMed

Insights

Cancer cells addicted to oncogenes show vulnerabilities. Blocking the Met receptor inactivated specific Ras and phosphoinositide 3-kinase (PI3K) pathways, leading to cell-cycle arrest and tumor regression.

Area of Science:

  • Oncology
  • Molecular Biology
  • Cancer Genetics

Background:

  • Tumorigenesis involves accumulating genetic and epigenetic alterations.
  • Oncogene addiction describes cancer cell dependence on a single lesion for malignancy.
  • Identifying critical nodes in oncogenic networks is key to cancer therapy.

Purpose of the Study:

  • To determine which downstream signaling nodes mediate tumor regression upon oncogene inactivation.
  • To investigate the role of specific pathways in oncogene addiction using the Met receptor as a model.

Main Methods:

  • Multiplex phosphoproteomics
  • Genome-wide expression profiling
  • Functional assays in cancer cells addicted to oncogenic receptor tyrosine kinases
  • Met receptor blockade and inhibition of downstream signaling pathways (Ras, PI3K)

Main Results:

  • Met blockade inactivated a specific subset of downstream signals, primarily Ras and phosphoinositide 3-kinase (PI3K) pathways.
  • Inhibition of Ras or PI3K signaling also induced cell-cycle arrest, mirroring Met blockade effects.
  • A stereotyped response signature was observed across different receptor tyrosine kinases, independent of receptor type or tissue origin.

Conclusions:

  • Ras and PI3K pathways act as dominant nodes determining therapeutic response in oncogene-addicted cancers.
  • Met inhibition leads to cell-cycle arrest, dependent on the activity of Ras and PI3K signaling.
  • These findings reveal dominant and recessive nodes in receptor tyrosine kinase-driven oncogenic networks, offering therapeutic insights.

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