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Integrated analysis of co-expression and ceRNA network identifies five lncRNAs as prognostic markers for breast cancer.

Abstract
Long non-coding RNAs (lncRNAs), which competitively bind miRNAs to regulate target mRNA expression in the competing endogenous RNAs (ceRNAs) network, have attracted increasing attention in breast cancer research. We aim to find more effective therapeutic targets and prognostic markers for breast cancer. LncRNA, mRNA and miRNA expression profiles of breast cancer were downloaded from TCGA database. We screened the top 5000 lncRNAs, top 5000 mRNAs and all miRNAs to perform weighted gene co-expression network analysis. The correlation between modules and clinical information of breast cancer was identified by Pearson's correlation coefficient. Based on the most relevant modules, we constructed a ceRNA network of breast cancer. Additionally, the standard Kaplan-Meier univariate curve analysis was adopted to identify the prognosis of lncRNAs. Ultimately, a total of 23 and 5 modules were generated in the lncRNAs/mRNAs and miRNAs co-expression network, respectively. According to the Green module of lncRNAs/mRNAs and Blue module of miRNAs, our constructed ceRNA network consisted of 52 lncRNAs, 17miRNAs and 79 mRNAs. Through survival analysis, 5 lncRNAs (AL117190.1, COL4A2-AS1, LINC00184, MEG3 and MIR22HG) were identified as crucial prognostic factors for patients with breast cancer. Taken together, we have identified five novel lncRNAs related to prognosis of breast cancer. Our study has contributed to the deeper understanding of the molecular mechanism of breast cancer and provided novel insights into the use of breast cancer drugs and prognosis.
AuthorsYan Yao, Tingting Zhang, Lingyu Qi, Chao Zhou, Junyu Wei, Fubin Feng, Ruijuan Liu, Changgang Sun
JournalJournal of cellular and molecular medicine (J Cell Mol Med) Vol. 23 Issue 12 Pg. 8410-8419 (12 2019) ISSN: 1582-4934 [Electronic] England
PMID31613058 (Publication Type: Journal Article, Research Support, Non-U.S. Gov't)
Copyright© 2019 The Authors. Journal of Cellular and Molecular Medicine published by Foundation for Cellular and Molecular Medicine and John Wiley & Sons Ltd.
Chemical References
  • Biomarkers, Tumor
  • MicroRNAs
  • RNA, Long Noncoding
  • RNA, Messenger
Topics
  • Biomarkers, Tumor (genetics)
  • Female
  • Gene Expression Profiling (methods)
  • Gene Expression Regulation, Neoplastic
  • Gene Regulatory Networks
  • Humans
  • Kaplan-Meier Estimate
  • MicroRNAs (genetics)
  • Prognosis
  • RNA, Long Noncoding (genetics)
  • RNA, Messenger (genetics)

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