↓ Skip to main content

PLOS

Identification and Pathway Analysis of microRNAs with No Previous Involvement in Breast Cancer

Overview of attention for article published in PLOS ONE, March 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
42 Dimensions

Readers on

mendeley
91 Mendeley
citeulike
2 CiteULike
Title
Identification and Pathway Analysis of microRNAs with No Previous Involvement in Breast Cancer
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0031904
Pubmed ID
Authors

Sandra Romero-Cordoba, Sergio Rodriguez-Cuevas, Rosa Rebollar-Vega, Valeria Quintanar-Jurado, Antonio Maffuz-Aziz, Gerardo Jimenez-Sanchez, Veronica Bautista-Piña, Rocio Arellano-Llamas, Alfredo Hidalgo-Miranda

Abstract

microRNA expression signatures can differentiate normal and breast cancer tissues and can define specific clinico-pathological phenotypes in breast tumors. In order to further evaluate the microRNA expression profile in breast cancer, we analyzed the expression of 667 microRNAs in 29 tumors and 21 adjacent normal tissues using TaqMan Low-density arrays. 130 miRNAs showed significant differential expression (adjusted P value = 0.05, Fold Change = 2) in breast tumors compared to the normal adjacent tissue. Importantly, the role of 43 of these microRNAs has not been previously reported in breast cancer, including several evolutionary conserved microRNA*, showing similar expression rates to that of their corresponding leading strand. The expression of 14 microRNAs was replicated in an independent set of 55 tumors. Bioinformatic analysis of mRNA targets of the altered miRNAs, identified oncogenes like ERBB2, YY1, several MAP kinases, and known tumor-suppressors like FOXA1 and SMAD4. Pathway analysis identified that some biological process which are important in breast carcinogenesis are affected by the altered microRNA expression, including signaling through MAP kinases and TP53 pathways, as well as biological processes like cell death and communication, focal adhesion and ERBB2-ERBB3 signaling. Our data identified the altered expression of several microRNAs whose aberrant expression might have an important impact on cancer-related cellular pathways and whose role in breast cancer has not been previously described.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
Turkey 1 1%
Norway 1 1%
Brazil 1 1%
Taiwan 1 1%
France 1 1%
Denmark 1 1%
Mexico 1 1%
Spain 1 1%
Other 1 1%
Unknown 80 88%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 21%
Student > Master 18 20%
Researcher 17 19%
Student > Bachelor 10 11%
Student > Doctoral Student 7 8%
Other 12 13%
Unknown 8 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 41%
Biochemistry, Genetics and Molecular Biology 25 27%
Medicine and Dentistry 11 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Engineering 2 2%
Other 2 2%
Unknown 12 13%