ArticleTranslational cancer research2020
Predicting miRNA targets for hepatocellular carcinoma with an integrated method.
Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.
- The dual role of miR-184 in cancer: a systematic review of context-dependent regulation.Molecular biology reports · 2025Pooled it
- miR-130a-5p/TFPI2 axis promotes invasion of hepatocellular carcinoma by altering epithelial-to-mesenchymal transition.Discover oncology · 2025Article
- What are the changes in the hotspots and frontiers of microRNAs in hepatocellular carcinoma over the past decade?World journal of clinical oncology · 2024Article
- Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data.Briefings in bioinformatics · 2023Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMicroRNAs (miRNAs) were aberrantly regulated in cancers, showing their roles as novel classes of oncogenes and tumor suppressors. Hence, an integrated method was introduced in this study to explore miRNA targets for hepatocellular carcinoma (HCC).
methodsThe Borda count election algorithm was applied to combine a correlation method (Pearson's correlation coefficient, PCC), a causal inference method (IDA), and a regression method (Lasso) to generate an integrated method. Subsequently, to confirm the performance of the integrated method, the predicted miRNA targets results were compared with the confirmed database. Finally, pathway enrichment analysis was applied to evaluate the target genes in the top 1,000 miRNA-messenger RNA (mRNA) interactions.
resultsThe method was confirmed to be an approach to predict miRNA targets. Moreover, 50 highly confident miRNA-mRNA interactions were obtained, including 6 miRNA targets with predicted times ≥10 (for instance, MEG3). The 860 target genes of the top 1,000 miRNA-mRNA interactions were enriched in 26 pathways, of which complement and coagulation cascades were most significant.
conclusionsThe results might supply great insights for revealing the pathological mechanism underlying HCC and explore potential biomarkers for the diagnosis and treatment of this tumor. However, these biomarkers have not been confirmed, and the related validations should be performed in future studies.
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