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Detection of Long Non-Coding RNA in Archival Tissue: Correlation with Polycomb Protein Expression in Primary and Metastatic Breast Carcinoma

Overview of attention for article published in PLOS ONE, October 2012
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Title
Detection of Long Non-Coding RNA in Archival Tissue: Correlation with Polycomb Protein Expression in Primary and Metastatic Breast Carcinoma
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047998
Pubmed ID
Authors

Karen M. Chisholm, Yue Wan, Rui Li, Kelli D. Montgomery, Howard Y. Chang, Robert B. West

Abstract

A major function of long non-coding RNAs (lncRNAs) is regulating gene expression through changes in chromatin state. Experimental evidence suggests that in cancer, they can influence Polycomb Repressive Complexes (PRC) to retarget to an occupancy pattern resembling that of the embryonic state. We have previously demonstrated that the expression level of lncRNA in the HOX locus, including HOTAIR, is a predictor of breast cancer metastasis. In this current project, RNA in situ hybridization of probes to three different lncRNAs (HOTAIR, ncHoxA1, and ncHoxD4), as well a immunohistochemical staining of EZH2, is undertaken in formalin-fixed paraffin-embedded breast cancer tissues in a high throughput tissue microarray format to correlate expression with clinicopathologic features. Though overall EZH2 and HOTAIR expression levels were highly correlated, the subset of cases with strong HOTAIR expression correlated with ER and PR positivity, while the subset of cases with strong EZH2 expression correlated with an increased proliferation rate, ER and PR negativity, HER2 underexpression, and triple negativity. Co-expression of HOTAIR and EZH2 trended with a worse outcome. In matched primary and metastatic cancers, both HOTAIR and EZH2 had increased expression in the metastatic carcinomas. This is the first study to show that RNA in situ hybridization of formalin fixed paraffin-embedded clinical material can be used to measure levels of long non-coding RNAs. This approach offers a method to make observations on lncRNAs that may influence the cancer epigenome in a tissue-based technique.

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Geographical breakdown

Country Count As %
Spain 1 <1%
Sweden 1 <1%
Unknown 103 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 24 23%
Researcher 22 21%
Student > Master 14 13%
Student > Bachelor 10 10%
Student > Postgraduate 6 6%
Other 19 18%
Unknown 10 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 30%
Biochemistry, Genetics and Molecular Biology 24 23%
Medicine and Dentistry 18 17%
Computer Science 3 3%
Immunology and Microbiology 3 3%
Other 12 11%
Unknown 13 12%