ArticlePeerJ2020
Bioinformatics analyses of retinoblastoma reveal the retinoblastoma progression subtypes.
Article in PeerJ, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 13 citations in OpenAlex.
- Global research landscape of retinoblastoma biomarkers: a multidisciplinary bibliometric analysis based on multiple databases (2005-2025).Journal of cancer research and clinical oncology · 2025Article
- Powerful significance testing for unbalanced clusters.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2025Article
- Article
- Transcriptome analysis reveals molecularly distinct subtypes in retinoblastoma.Scientific reports · 2023Article
- Risk of secondary tumours in patients with non-metastatic and metastatic human retinoblastoma.Eye (London, England) · 2023Article
- Retinoblastoma gene expression profiling based on bioinformatics analysis.BMC medical genomics · 2023Article
- Bioinformatics Analysis and Experimental Identification of Immune-Related Genes and Immune Cells in the Progression of Retinoblastoma.Investigative ophthalmology & visual science · 2022Article
- The Outer Retinal Membrane Protein 1 Could Inhibit Lung Cancer Progression as a Tumor Suppressor.Computational and mathematical methods in medicine · 2021Article
- Investigation of Key Signaling Pathways Associating miR-204 and Common Retinopathies.BioMed research international · 2021Article
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionRetinoblastoma (RB) is one common pediatric malignant tumor with dismal outcomes. Heterogeneity of RB and subtypes of RB were identified but the association between the subtypes of RB and RB progression have not been fully investigated.
methodsFour public datasets were downloaded from Gene expression omnibus and normalization was performed to remove batch effect. Two public datasets were explored to obtain the RB progression gene signatures by differentially expression analysis while another two datasets were iterated for RB subtypes identification using consensus clustering. After the RB progressive subtype gene signatures were identified, we tested the diagnostic capacity of these gene signatures by receiver operation curve.
resultsThree hundreds and forty six genes that were enriched in cell cycle were identified as the progression signature in RB from two independent datasets. Four subtypes of RB were stratified by consensus clustering. A total of 21 genes from RB progression signature were differentially expressed between RB subtypes. One subtype with low expression cell division genes have less progression of all four subtypes. A panel of five RB subtype genes (CLUL1, CNGB1, ROM1, LRRC39 and RDH12) predict progression of RB.
conclusionRetinoblastoma is a highly heterogeneous tumor and the level of cell cycle related gene expression is associated with RB progression. A subpopulation of RB with high expression of visual perception has less progressive features. LRRC39 is potentially the RB progression subtype biomarker.
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