Construction and comprehensive analysis of dysregulated long non-coding RNA-associated competing endogenous RNA

Jiawu Wang1, Chengyao Zhang2, Weiyang He1

  • 1Department of Urology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Abstract

Insights

Researchers analyzed the regulatory network in clear cell renal cell carcinoma (ccRCC), identifying key long noncoding RNAs (lncRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs) linked to patient survival and potential therapeutic targets.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Clear cell renal cell carcinoma (ccRCC) is a significant health concern with complex molecular underpinnings.
  • Understanding the regulatory mechanisms involving long noncoding RNAs (lncRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs) is crucial for ccRCC research.

Purpose of the Study:

  • To elucidate the lncRNA-miRNA-mRNA regulatory network in ccRCC.
  • To identify potential prognostic biomarkers and therapeutic targets for ccRCC.

Main Methods:

  • Gene expression profiles for lncRNAs, miRNAs, and mRNAs were analyzed from The Cancer Genome Atlas.
  • Differentially expressed genes and miRNAs were identified, and Cox regression was used to find prognostic factors.
  • Protein-protein interaction networks and competing endogenous RNA (ceRNA) networks were constructed.

Main Results:

  • A total of 2331 differentially expressed mRNAs, 1517 lncRNAs, and 83 miRNAs were identified.
  • Eleven lncRNAs, three miRNAs, and three mRNAs were significantly associated with overall survival (OS).
  • Four lncRNAs and one mRNA were confirmed as independent prognostic factors, and key hub genes were identified.

Conclusions:

  • The study clarifies the pathogenesis of ccRCC by detailing its complex regulatory network.
  • The identified lncRNAs, miRNAs, and mRNAs represent potential therapeutic targets for ccRCC treatment.

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