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Hepatocyte growth factor (HGF) autocrine activation predicts sensitivity to MET inhibition in glioblastoma.


ABSTRACT: Because oncogene MET and EGF receptor (EGFR) inhibitors are in clinical development against several types of cancer, including glioblastoma, it is important to identify predictive markers that indicate patient subgroups suitable for such therapies. We investigated in vivo glioblastoma models characterized by hepatocyte growth factor (HGF) autocrine or paracrine activation, or by MET or EGFR amplification, for their susceptibility to MET inhibitors. HGF autocrine expression correlated with high phospho-MET levels in HGF autocrine cell lines, and these lines showed high sensitivity to MET inhibition in vivo. An HGF paracrine environment may enhance glioblastoma growth in vivo but did not indicate sensitivity to MET inhibition. EGFRvIII amplification predicted sensitivity to EGFR inhibition, but in the same tumor, increased copies of MET from gains of chromosome 7 did not result in increased MET activity and did not predict sensitivity to MET inhibitors. Thus, HGF autocrine glioblastoma bears an activated MET signaling pathway that may predict sensitivity to MET inhibitors. Moreover, serum HGF levels may serve as a biomarker for the presence of autocrine tumors and their responsiveness to MET therapeutics.

SUBMITTER: Xie Q 

PROVIDER: S-EPMC3258605 | biostudies-literature | 2012 Jan

REPOSITORIES: biostudies-literature

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Hepatocyte growth factor (HGF) autocrine activation predicts sensitivity to MET inhibition in glioblastoma.

Xie Qian Q   Bradley Robert R   Kang Liang L   Koeman Julie J   Ascierto Maria Libera ML   Worschech Andrea A   De Giorgi Valeria V   Wang Ena E   Kefene Lisa L   Su Yanli Y   Essenburg Curt C   Kaufman Dafna W DW   DeKoning Tom T   Enter Mark A MA   O'Rourke Timothy J TJ   Marincola Francesco M FM   Vande Woude George F GF  

Proceedings of the National Academy of Sciences of the United States of America 20111227 2


Because oncogene MET and EGF receptor (EGFR) inhibitors are in clinical development against several types of cancer, including glioblastoma, it is important to identify predictive markers that indicate patient subgroups suitable for such therapies. We investigated in vivo glioblastoma models characterized by hepatocyte growth factor (HGF) autocrine or paracrine activation, or by MET or EGFR amplification, for their susceptibility to MET inhibitors. HGF autocrine expression correlated with high p  ...[more]

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