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Differential Gene Expression in Tamoxifen-Resistant Breast Cancer Cells Revealed by a New Analytical Model of RNA-Seq Data

Overview of attention for article published in PLOS ONE, July 2012
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Title
Differential Gene Expression in Tamoxifen-Resistant Breast Cancer Cells Revealed by a New Analytical Model of RNA-Seq Data
Published in
PLOS ONE, July 2012
DOI 10.1371/journal.pone.0041333
Pubmed ID
Authors

Kathryn J. Huber-Keener, Xiuping Liu, Zhong Wang, Yaqun Wang, Willard Freeman, Song Wu, Maricarmen D. Planas-Silva, Xingcong Ren, Yan Cheng, Yi Zhang, Kent Vrana, Chang-Gong Liu, Jin-Ming Yang, Rongling Wu

Abstract

Resistance to tamoxifen (Tam), a widely used antagonist of the estrogen receptor (ER), is a common obstacle to successful breast cancer treatment. While adjuvant therapy with Tam has been shown to significantly decrease the rate of disease recurrence and mortality, recurrent disease occurs in one third of patients treated with Tam within 5 years of therapy. A better understanding of gene expression alterations associated with Tam resistance will facilitate circumventing this problem. Using a next generation sequencing approach and a new bioinformatics model, we compared the transcriptomes of Tam-sensitive and Tam-resistant breast cancer cells for identification of genes involved in the development of Tam resistance. We identified differential expression of 1215 mRNA and 513 small RNA transcripts clustered into ERα functions, cell cycle regulation, transcription/translation, and mitochondrial dysfunction. The extent of alterations found at multiple levels of gene regulation highlights the ability of the Tam-resistant cells to modulate global gene expression. Alterations of small nucleolar RNA, oxidative phosphorylation, and proliferation processes in Tam-resistant cells present areas for diagnostic and therapeutic tool development for combating resistance to this anti-estrogen agent.

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The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Sweden 2 2%
Australia 1 <1%
Italy 1 <1%
China 1 <1%
United States 1 <1%
Unknown 106 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 34 30%
Researcher 25 22%
Student > Master 12 11%
Student > Bachelor 9 8%
Other 5 4%
Other 14 13%
Unknown 13 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 44 39%
Biochemistry, Genetics and Molecular Biology 19 17%
Medicine and Dentistry 15 13%
Chemistry 3 3%
Engineering 3 3%
Other 10 9%
Unknown 18 16%