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An integrated analysis for long noncoding RNAs and microRNAs with the mediated competing endogenous RNA network in

Chuiguo Huang1, Naijun Yuan2, Liying Wu3

  • 1Department of Urology, The Second Affiliated Hospital of Zhengzhou University, Zhengzhou.

Oncotargets and Therapy
|September 2, 2017
PubMed

Insights

This study reveals a crucial competing endogenous RNA (ceRNA) network involving long noncoding RNAs (lncRNAs), microRNAs (miRNAs), and messenger RNAs (mRNAs) in papillary renal cell carcinoma (PRCC) progression. The findings offer potential molecular biomarkers for PRCC diagnosis and treatment.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Papillary renal cell carcinoma (PRCC) lacks effective therapeutic targets and prognostic biomarkers.
  • Long noncoding RNAs (lncRNAs) are implicated in tumorigenesis via competing endogenous RNA (ceRNA) networks.
  • Understanding the lncRNA-mediated ceRNA network in PRCC is critical for identifying novel therapeutic strategies.

Purpose of the Study:

  • To elucidate the functional roles of lncRNAs in the ceRNA network within PRCC.
  • To identify key differentially expressed molecules (mRNAs, lncRNAs, miRNAs) involved in PRCC pathogenesis.
  • To construct and visualize the PRCC-specific ceRNA network.

Main Methods:

  • Utilized The Cancer Genome Atlas (TCGA) data for 289 PRCC and 32 normal tissues.
  • Performed differential expression analysis for mRNAs, lncRNAs, and miRNAs.
  • Employed weighted gene co-expression network analysis (WGCNA) to identify hub genes.
  • Constructed the ceRNA network using Cytoscape software.

Main Results:

  • Identified 2,197 differentially expressed mRNAs (DEmRNAs) and 84 differentially expressed miRNAs (DEmiRNAs).
  • Discovered 28 hub DEmRNAs as potential key target genes.
  • Found 7 dysregulated DEmiRNAs significantly associated with hub DEmRNAs.
  • Identified 16 differentially expressed lncRNAs interacting with DEmiRNAs, forming a PRCC ceRNA network.

Conclusions:

  • The constructed ceRNA network plays a significant role in PRCC progression.
  • Specific genes within this network show strong correlations with clinical prognosis.
  • These findings provide potential molecular biomarkers for PRCC diagnosis and targeted therapy.
Keywords:
The Cancer Genome Atlascompeting endogenous RNA networklong noncoding RNApapillary renal cell carcinomasurvival prognosisweighted gene co-expression network analysis

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