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Oncogene
Article
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Oncogene
Article . 2013 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
Oncogene
Article . 2014
Data sources: Pure Amsterdam UMC
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Integrative molecular and functional profiling of ERBB2-amplified breast cancers identifies new genetic dependencies

Authors: K. Shiu; D. Wetterskog; A. Mackay; R. Natrajan; M. Lambros; D. Sims; I. Bajrami; +11 Authors

Integrative molecular and functional profiling of ERBB2-amplified breast cancers identifies new genetic dependencies

Abstract

Overexpression of the receptor tyrosine kinase ERBB2 (also known as HER2) occurs in around 15% of breast cancers and is driven by amplification of the ERBB2 gene. ERBB2 amplification is a marker of poor prognosis, and although anti-ERBB2-targeted therapies have shown significant clinical benefit, de novo and acquired resistance remains an important problem. Genomic profiling has demonstrated that ERBB2+ve breast cancers are distinguished from ER+ve and 'triple-negative' breast cancers by harbouring not only the ERBB2 amplification on 17q12, but also a number of co-amplified genes on 17q12 and amplification events on other chromosomes. Some of these genes may have important roles in influencing clinical outcome, and could represent genetic dependencies in ERBB2+ve cancers and therefore potential therapeutic targets. Here, we describe an integrated genomic, gene expression and functional analysis to determine whether the genes present within amplicons are critical for the survival of ERBB2+ve breast tumour cells. We show that only a fraction of the ERBB2-amplified breast tumour lines are truly addicted to the ERBB2 oncogene at the mRNA level and display a heterogeneous set of additional genetic dependencies. These include an addiction to the transcription factor gene TFAP2C when it is amplified and overexpressed, suggesting that TFAP2C represents a genetic dependency in some ERBB2+ve breast cancer cells.

Keywords

Cancer Research, Receptor, ErbB-2, Gene Expression Profiling, Gene Amplification, Breast Neoplasms, Transcription Factor AP-2, Cell Line, Tumor, Genetics, MCF-7 Cells, Humans, Female, RNA Interference, RNA, Small Interfering, Molecular Biology

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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!
views
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25
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