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Updated: Oct 9, 2025

Reconstruct Human Retinoblastoma In Vitro
Published on: October 11, 2022
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.
Abstract:
Retinoblastoma (RB) is the most common type of intraocular malignant tumor that lowers the quality of life among children worldwide. Long noncoding RNAs (lncRNAs) are reported to play a dual role in tumorigenesis and development of RB. Autophagy is also reported to be involved in RB occurrence. Although several studies of autophagy-related lncRNAs in RB have been explored before, there are still unknown potential mechanisms in RB. In the present study, we mined dataset GSE110811 from the Gene Expression Omnibus database and downloaded autophagy-related genes from the Human Autophagy Database for further bioinformatic analysis. By implementing the differential expression analysis and Pearson correlation analysis on the lncRNA expression matrix and autophagy-related genes expression matrix, we identified four autophagy-related lncRNAs (namely, N4BP2L2-IT2, SH3BP5-AS1, CDKN2B-AS1, and LINC-PINT) associated with RB. We then performed differential expression analysis on microRNA (miRNA) from dataset GSE39105 for further analyses of lncRNA-miRNA-mRNA regulatory mechanisms. With the miRNA-lncRNA module on the StarBase 3.0 website, we predicted the differentially expressed miRNAs that could target the autophagy-related lncRNAs and constructed a potential lncRNA-miRNA-mRNA regulatory network. Furthermore, the functional annotations of these target genes in regulatory networks were presented using the Cytoscape and the Metascape annotation tool. Finally, the expression pattern of the four autophagy-related lncRNAs was evaluated via qRT-PCR. In conclusion, our findings suggest that the four autophagy-related lncRNAs could be critical molecules associated with the development of RB and affect the occurrence and development of RB through the lncRNA-miRNA-mRNA regulatory network. Genes (GRP13B, IFT88, EPHA3, GABARAPL1, and EIF4EBP1) may serve as potential novel therapeutic targets and biomarkers in RB.
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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