Computational analysis of microRNA profiles and their target genes suggests significant involvement in breast cancer antiestrogen resistance

Bioinformatics. 2009 Feb 15;25(4):430-4. doi: 10.1093/bioinformatics/btn646. Epub 2008 Dec 17.

Abstract

Motivation: Recent evidence shows significant involvement of microRNAs (miRNAs) in the initiation and progression of numerous cancers; however, the role of these in tumor drug resistance remains unknown.

Results: By comparing global miRNA and mRNA expression patterns, we examined the role of miRNAs in resistance to the 'pure antiestrogen' fulvestrant, using fulvestrant-resistant MCF7-FR cells and their drug-sensitive parental estrogen receptor (ER)-positive MCF7 cells. We identified 14 miRNAs downregulated in MCF7-FR cells and then used both TargetScan and PITA to predict potential target genes. We found a negative correlation between expression of these miRNAs and their predicted target mRNA transcripts. In genes regulated by multiple miRNAs or having multiple miRNA-targeting sites, an even stronger negative correlation was found. Pathway analyses predicted these miRNAs to regulate specific cancer-associated signal cascades. These results suggest a significant role for miRNA-regulated gene expression in the onset of breast cancer antiestrogen resistance, and an improved understanding of this phenomenon could lead to better therapies for this often fatal condition.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Breast Neoplasms / drug therapy*
  • Breast Neoplasms / genetics*
  • Cell Line, Tumor
  • Computational Biology*
  • Drug Resistance, Neoplasm / genetics
  • Estrogen Receptor Modulators / pharmacology*
  • Female
  • Gene Expression Regulation, Neoplastic*
  • Humans
  • MicroRNAs / metabolism*

Substances

  • Estrogen Receptor Modulators
  • MicroRNAs