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Updated: Feb 15, 2026

Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells
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Profiling of Estrogen-regulated MicroRNAs in Breast Cancer Cells

Published on: February 21, 2014

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Bioinformatic identification of chemoresistance-associated microRNAs in breast cancer based on microarray data

Ya-Wen Wang1, Weiguo Zhang1, Rong Ma1

  • 1Department of Breast Surgery, Qilu Hospital of Shandong University, Jinan, Shandong 250012, P.R. China.

Oncology Reports
|January 13, 2018
PubMed

Insights

This study identifies key microRNAs (miRNAs) and their target genes associated with chemoresistance in breast cancer. Findings may lead to new therapeutic targets for improving breast cancer treatment outcomes.

Area of Science:

  • Oncology
  • Genetics
  • Bioinformatics

Background:

  • Breast cancer is a prevalent disease in females, with chemoresistance posing a significant treatment challenge.
  • MicroRNAs (miRNAs) play a crucial role in cancer development, progression, and drug resistance.

Purpose of the Study:

  • To identify microRNAs (miRNAs) associated with chemoresistance in breast cancer.
  • To explore the functional roles and pathways of differentially expressed miRNAs (DE-miRNAs) and their target genes.

Main Methods:

  • Downloaded and analyzed miRNA microarray dataset GSE71142 from the Gene Expression Omnibus (GEO) database.
  • Identified DE-miRNAs using t-test, predicted target genes with miRWalk2.0, and performed functional enrichment analysis with WebGestalt.
  • Constructed a protein-protein interaction (PPI) network using STRING and visualized it with Cytoscape.

Main Results:

  • Identified 22 DE-miRNAs (10 upregulated, 12 downregulated) in chemoresistant versus chemosensitive breast cancer tissues.
  • Screened 1,278 target genes involved in critical cancer pathways, including endocrine resistance and mTOR signaling.
  • Identified NOTCH1 and MAPK14 as hub genes, EGR1 and SP1 as enriched transcription factors, and several miRNA-gene pairs like miR-214-TP53.

Conclusions:

  • This bioinformatics study provides insights into the molecular mechanisms of breast cancer chemoresistance.
  • Identified potential novel miRNA therapeutic targets for overcoming chemoresistance in breast cancer treatment.

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