ArticleScientific reports2023
Identification of a novel circRNA-miRNA-mRNA regulatory axis in hepatocellular carcinoma based on bioinformatics analysis.
Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 18 citations in OpenAlex.
- Zinc finger protein 544 promotes hepatocellular carcinoma by generating an immunosuppressive tumor microenvironment.JHEP reports : innovation in hepatology · 2026Article
- miR-139-5p Targets CENPM to Suppress EMT and Malignant Progression of Hepatocellular Carcinoma via Regulating the Akt/mTOR Pathway and β-Catenin Nuclear Translocation.Journal of hepatocellular carcinoma · 2026Article
- [The function of circular RNA-microRNA-messenger RNA immune regulatory network in childhood allergic asthma].Zhongguo dang dai er ke za zhi = Chinese journal of contemporary pediatrics · 2025Article
- Identification and Validation of the Hsa_circ_0001726/miR-140-3p/KRAS Axis in Hepatocellular Carcinoma Based on Microarray Analyses and Experiments.Journal of clinical and translational hepatology · 2024Article
- CD74 facilitates immunotherapy response by shaping the tumor microenvironment of hepatocellular carcinoma.Molecular medicine (Cambridge, Mass.) · 2024Article
- Circular RNA circDLG1 contributes to HCC progression by regulating the miR-141-3p/WTAP axis.Functional & integrative genomics · 2023Article
- Hepatocellular Carcinoma: Up-regulated Circular RNAs Which Mediate Efficacy in PreclinicalCancer genomics & proteomicsReview
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, circular RNAs (circRNAs) have been found to play an essential regulatory role in hepatocellular carcinoma (HCC) through various mechanisms, particularly the endogenous competitive RNA (ceRNA) mechanism. Therefore, it is significant to explore the circRNAs in hepatoma. In this study, we constructed the ceRNA and survival network using Cytoscape. We also used R, Perl software, and multiple online databases and platforms, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), to perform overall survival, immune cell infiltration, immune checkpoints, pathway activity, and anticancer drug sensitivity analysis of the genes. Finally, the receiver operator characteristic curve (ROC) analysis was performed to identify the diagnosis value of the genes. KEGG analysis revealed the T cell receptor signaling pathway as the main enrichment pathway. A total of 29 genes related to survival and prognosis were screened out. The findings suggest that ZNF544, WDR76, ACTG1, RASSF3, E2F3, ASRGL1, and POGK are associated with multilevel immune cell infiltration. Additionally, immune checkpoint analysis screened out the ACTG1, E2F3, RASSF3, and WDR76. It was also revealed that the WDR76, E2F3, ASRGL1, and POGK mainly activated the cell cycle and DNA damage response (DDR) pathway. The results suggest that the sensitivity toward trametinib, refametinib (RDEA119), and selumetinib correlates to the expression of WDR76. ROC analysis showed that the area under the curve (AUC) of all genes in the regulatory axis was greater than 0.7. The identified hsa_circ_0000417/hsa_circ_0002688/hsa_circ_0001387--hsa-miR-199a-5p--WDR76 regulatory axis may provide new insights into the progression, clinical diagnosis, and treatment of HCC.
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