Four Autophagy-Related Long Noncoding RNAs Provide Coexpression and ceRNA Mechanisms in Retinoblastoma through

He Ren1, Xiaoyu Guo1, Fang Li1

  • 1Department of Ophthalmology, Renmin Hospital of Wuhan University, Wuhan, Hubei 430060, China.

ACS Omega
|December 20, 2021
PubMed

Insights

This study identifies four long noncoding RNAs (lncRNAs) linked to retinoblastoma (RB) development. These lncRNAs may influence RB through a regulatory network involving microRNAs (miRNAs) and messenger RNAs (mRNAs).

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • Retinoblastoma (RB) is a common childhood eye cancer impacting quality of life.
  • Long noncoding RNAs (lncRNAs) and autophagy play complex roles in RB tumorigenesis and development.
  • Understanding the molecular mechanisms of RB, particularly involving lncRNAs and autophagy, remains crucial.

Purpose of the Study:

  • To identify novel autophagy-related long noncoding RNAs (lncRNAs) associated with retinoblastoma (RB).
  • To elucidate the potential regulatory network involving lncRNAs, microRNAs (miRNAs), and messenger RNAs (mRNAs) in RB.
  • To explore potential therapeutic targets and biomarkers for RB.

Main Methods:

  • Bioinformatic analysis of Gene Expression Omnibus (GEO) datasets (GSE110811, GSE39105) and the Human Autophagy Database.
  • Differential expression analysis, Pearson correlation, and lncRNA-miRNA-mRNA network construction using StarBase 3.0.
  • Functional annotation of target genes via Cytoscape and Metascape, followed by qRT-PCR validation.

Main Results:

  • Four autophagy-related lncRNAs (N4BP2L2-IT2, SH3BP5-AS1, CDKN2B-AS1, LINC-PINT) were identified as significantly associated with RB.
  • A potential regulatory network involving these lncRNAs, specific miRNAs, and target mRNAs was constructed.
  • The expression patterns of the four lncRNAs were validated using qRT-PCR.

Conclusions:

  • The identified autophagy-related lncRNAs are critical molecules in RB development.
  • These lncRNAs likely influence RB through a complex lncRNA-miRNA-mRNA regulatory network.
  • Specific genes (GRP13B, IFT88, EPHA3, GABARAPL1, EIF4EBP1) may represent novel therapeutic targets and biomarkers for RB.

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