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The Journal of Clinical Investigation
Article . 2013 . Peer-reviewed
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Melanoma adapts to RAF/MEK inhibitors through FOXD3-mediated upregulation of ERBB3

Authors: Ethan V. Abel; Kevin J. Basile; Curtis H. Kugel; Agnieszka K. Witkiewicz; Kaitlyn Le; Ravi K. Amaravadi; Giorgos C. Karakousis; +7 Authors

Melanoma adapts to RAF/MEK inhibitors through FOXD3-mediated upregulation of ERBB3

Abstract

The mechanisms underlying adaptive resistance of melanoma to targeted therapies remain unclear. By combining ChIP sequencing with microarray-based gene profiling, we determined that ERBB3 is upregulated by FOXD3, a transcription factor that promotes resistance to RAF inhibitors in melanoma. Enhanced ERBB3 signaling promoted resistance to RAF pathway inhibitors in cultured melanoma cell lines and in mouse xenograft models. ERBB3 signaling was dependent on ERBB2; targeting ERBB2 with lapatinib in combination with the RAF inhibitor PLX4720 reduced tumor burden and extended latency of tumor regrowth in vivo versus PLX4720 alone. These results suggest that enhanced ERBB3 signaling may serve as a mechanism of adaptive resistance to RAF and MEK inhibitors in melanoma and that cotargeting this pathway may enhance the clinical efficacy and extend the therapeutic duration of RAF inhibitors.

Keywords

Sulfonamides, Indoles, Skin Neoplasms, Receptor, ErbB-3, Transcription, Genetic, Cell Survival, Forkhead Transcription Factors, Lapatinib, MAP Kinase Kinase Kinases, Immunohistochemistry, Gene Expression Regulation, Neoplastic, Quinazolines, Humans, raf Kinases, Enzyme Inhibitors, Phosphorylation, Melanoma, Oligonucleotide Array Sequence Analysis, Signal Transduction

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    219
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    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
219
Top 1%
Top 10%
Top 1%
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