Construction of an initial microRNA regulation network in breast invasive carcinoma by bioinformatics analysis

Yongjia Yin1, Cheng Shen1, Pan Xie1

  • 1The School of Pharmaceutical Science in Central South University, Changsha 410013, Hunan, China.

Abstract

Insights

This study identifies key microRNAs (miRNAs) and messenger RNAs (mRNAs) dysregulated in breast invasive carcinoma (BRCA). A novel analytical method using TCGA data reveals miRNA-mRNA interactions crucial for BRCA development and subtypes.

Area of Science:

  • Genomics
  • Molecular Biology
  • Oncology

Background:

  • MicroRNAs (miRNAs) regulate gene expression and are implicated in breast invasive carcinoma (BRCA).
  • Aberrant miRNA expression is observed in BRCA, but their specific targets and pathways remain underexplored.
  • Understanding miRNA roles is critical for identifying novel biomarkers and therapeutic targets in BRCA.

Purpose of the Study:

  • To systematically analyze miRNA and mRNA expression data in BRCA.
  • To identify dysregulated miRNAs and their target genes in breast cancer.
  • To elucidate the miRNA regulatory network and its role in BRCA subtypes.

Main Methods:

  • Utilized miRNA and mRNA expression data from The Cancer Genome Atlas (TCGA).
  • Compared tumor and adjacent normal tissues to identify differentially expressed miRNAs and mRNAs.
  • Predicted and validated miRNA/target gene correlations using Spearman correlation and luciferase assays.

Main Results:

  • Identified 31 up-regulated and 37 down-regulated miRNAs, along with 1105 up-regulated and 1222 down-regulated mRNAs in BRCA.
  • Predicted 125 miRNA/target correlations, with 6 successfully validated.
  • Discovered differential expression of miRNAs and mRNAs related to estrogen and progesterone receptor status, and identified 12 miRNA/target correlations defining breast cancer subtypes.

Conclusions:

  • Developed a novel systematic method for analyzing TCGA data, integrating miRNA and mRNA information.
  • The study provides a comprehensive dissection of the miRNA regulatory network in BRCA.
  • Findings offer insights into miRNA-driven mechanisms underlying breast cancer progression and subtypes.