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Engagement of Overexpressed Her2 with GEP100 Induces Autonomous Invasive Activities and Provides a Biomarker for Metastases of Lung Adenocarcinoma

Overview of attention for article published in PLOS ONE, September 2011
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Title
Engagement of Overexpressed Her2 with GEP100 Induces Autonomous Invasive Activities and Provides a Biomarker for Metastases of Lung Adenocarcinoma
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0025301
Pubmed ID
Authors

Toshi Menju, Shigeru Hashimoto, Ari Hashimoto, Yutaro Otsuka, Haruka Handa, Eiji Ogawa, Yoshinobu Toda, Hiromi Wada, Hiroshi Date, Hisataka Sabe

Abstract

Overexpression of Her2/ErbB2/Neu in cancer is often correlated with recurrent distant metastasis, although the mechanism still remains largely elusive. We have previously shown that EGFR, when tyrosine-phosphorylated, binds to GEP100/BRAG2 to activate Arf6, which induces cancer invasion and metastasis. We now show that overexpressed Her2 in lung adenocarcinoma cells also employs GEP100. Like EGFR-GEP100 binding, this association is primarily mediated by the pleckstrin homology (PH) domain of GEP100 and Tyr1139/Tyr1196 of Her2. Tyr1139/Tyr1196 are autonomously phosphorylated, when Her2 is overexpressed. Accordingly, invasive activities mediated by the Her2-GEP100 pathway are not dependent on external factors. Blocking Her2-GEP100 binding, as well as its signaling pathway all inhibit cancer invasive activities. Moreover, our clinical study indicates that co-overexpression of Her2 with GEP100 in primary lung adenocarcinomas of patients is correlated with the presence of their node-metastasis with a statistical significance. Since the GEP100 PH domain interacts with both Her2 and EGFR, targeting this domain may provide novel cancer therapeutics.

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Geographical breakdown

Country Count As %
Japan 1 4%
United States 1 4%
Ireland 1 4%
Unknown 22 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 48%
Researcher 4 16%
Student > Bachelor 2 8%
Other 1 4%
Student > Doctoral Student 1 4%
Other 2 8%
Unknown 3 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 40%
Medicine and Dentistry 7 28%
Biochemistry, Genetics and Molecular Biology 4 16%
Unknown 4 16%