Title |
EGFR Mutation Promotes Glioblastoma through Epigenome and Transcription Factor Network Remodeling
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Published in |
Molecular Cell, October 2015
|
DOI | 10.1016/j.molcel.2015.09.002 |
Pubmed ID | |
Authors |
Feng Liu, Gary C. Hon, Genaro R. Villa, Kristen M. Turner, Shiro Ikegami, Huijun Yang, Zhen Ye, Bin Li, Samantha Kuan, Ah Young Lee, Ciro Zanca, Bowen Wei, Greg Lucey, David Jenkins, Wei Zhang, Cathy L. Barr, Frank B. Furnari, Timothy F. Cloughesy, William H. Yong, Timothy C. Gahman, Andrew K. Shiau, Webster K. Cavenee, Bing Ren, Paul S. Mischel |
Abstract |
Epidermal growth factor receptor (EGFR) gene amplification and mutations are the most common oncogenic events in glioblastoma (GBM), but the mechanisms by which they promote aggressive tumor growth are not well understood. Here, through integrated epigenome and transcriptome analyses of cell lines, genotyped clinical samples, and TCGA data, we show that EGFR mutations remodel the activated enhancer landscape of GBM, promoting tumorigenesis through a SOX9 and FOXG1-dependent transcriptional regulatory network in vitro and in vivo. The most common EGFR mutation, EGFRvIII, sensitizes GBM cells to the BET-bromodomain inhibitor JQ1 in a SOX9, FOXG1-dependent manner. These results identify the role of transcriptional/epigenetic remodeling in EGFR-dependent pathogenesis and suggest a mechanistic basis for epigenetic therapy. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 33% |
Congo | 1 | 4% |
United Kingdom | 1 | 4% |
France | 1 | 4% |
Brazil | 1 | 4% |
Belgium | 1 | 4% |
Unknown | 11 | 46% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 13 | 54% |
Scientists | 9 | 38% |
Science communicators (journalists, bloggers, editors) | 2 | 8% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | <1% |
Hungary | 1 | <1% |
Germany | 1 | <1% |
Canada | 1 | <1% |
Unknown | 237 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 59 | 24% |
Researcher | 45 | 19% |
Student > Master | 21 | 9% |
Student > Bachelor | 20 | 8% |
Student > Doctoral Student | 12 | 5% |
Other | 40 | 17% |
Unknown | 45 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 76 | 31% |
Agricultural and Biological Sciences | 53 | 22% |
Medicine and Dentistry | 31 | 13% |
Neuroscience | 10 | 4% |
Engineering | 5 | 2% |
Other | 18 | 7% |
Unknown | 49 | 20% |