Identifying breast cancer subtype related miRNAs from two constructed miRNAs interaction networks in silico method

BioMed Research International
Lin HuaPing Zhou

Abstract

It has been known that microRNAs (miRNAs) regulate the expression of multiple proteins and therefore are likely to emerge as more effective targets of selective therapeutic modalities for breast cancer. Although recent lines of evidence have approved that miRNAs are associated with the most common molecular breast cancer subtypes, the studies to breast cancer subtypes have not been well characterized. In this study, we propose a silico method to identify breast cancer subtype related miRNAs based on two constructed miRNAs interaction networks using miRNA-mRNA dual expression profiling data arising from the same samples. Firstly, we used a new mutual information estimation method to construct two miRNAs interaction networks based on miRNA-mRNA dual expression profiling data. Secondly, we compared and analyzed the topological properties of these two networks. Finally, miRNAs showing the outstanding topological properties in both of the two networks were identified. Results. Further functional analysis and literature evidence confirm that the identified potential breast cancer subtype related miRNAs are essential to unraveling their biological function. This study provides a new silico method to predict candidate miRNAs of breast ...Continue Reading

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Citations

Jan 16, 2016·Therapeutic Delivery·Roberta CavalliMonica Argenziano
Mar 31, 2015·Colloids and Surfaces. B, Biointerfaces·R CavalliE Terreno
Jul 1, 2016·Nanoscale Research Letters·Olena M PerepelytsinaLuciano Rosario Maria Vicari
Jan 8, 2019·Journal of Drug Targeting·Shuang JiangLi Qin
Nov 6, 2014·Clinical Cancer Research : an Official Journal of the American Association for Cancer Research·Philip C MillerDorraya El-Ashry

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Methods Mentioned

BETA
PCA
antisense oligonucleotide

Software Mentioned

miRFunSim
R
SAM ( significance analysis of microarrays )
parmigene
miRanda
MISIM

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