ArticleMolecular medicine reports2020
Identification of co‑expression modules and hub genes of retinoblastoma via co‑expression analysis and protein‑protein interaction networks.
Article in Molecular medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- Noncoding RNA-associated competing endogenous RNA networks in trastuzumab-induced cardiotoxicity.Non-coding RNA research · 2024Article
- scGIR: deciphering cellular heterogeneity via gene ranking in single-cell weighted gene correlation networks.Briefings in bioinformatics · 2024Article
- In silico Identification of Hypoxic Signature followed by reverse transcription-quantitative PCR Validation in Cancer Cell LinesIranian biomedical journal · 2023Article
- Gene co-expression network analysis revealed novel biomarkers for ovarian cancer.Frontiers in genetics · 2022Article
- Linking co-expression modules with phenotypes.Bioinformation · 2022Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
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Abstract
Retinoblastoma is a common intraocular malignant tumor in children. However, the molecular and genetic mechanisms of retinoblastoma remain unclear. The gene expression dataset GSE110811 was retrieved from Gene Expression Omnibus. After preprocessing, coexpression modules were constructed by weighted gene coexpression network analysis (WGCNA), and modules associated with clinical traits were identified. In addition, functional enrichment analysis was performed for genes in the indicated modules, and protein‑protein interaction (PPI) networks and subnetworks were constructed based on these genes. Eight coexpression modules were constructed through WGCNA. Of these, the yellow module had the highest association with severity and age (r=0.82 and P=3e‑07; r=0.72 and P=3e‑05). The turquoise module had the highest association with months (r=‑0.63 and P=5e‑04). The genes in the two modules participate in multiple pathways of retinoblastoma, and by combining the PPI network and subnetworks; 10 hub genes were identified in the two modules. The present study identified coexpression modules and hub genes associated with clinical traits of retinoblastoma, providing novel insight into retinoblastoma progression.
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