ArticleJournal of translational medicine2015
Integrated analysis of miRNA, gene, and pathway regulatory networks in hepatic cancer stem cells.
Article in Journal of translational medicine, 2015. 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, 25 citations in OpenAlex.
- In Silico Analysis of MicroRNA Expression Data in Liver Cancer.Cancer informatics · 2023Article
- Elucidation of dynamic microRNA regulations in cancer progression using integrative machine learning.Briefings in bioinformatics · 2021Article
- Explaining the Genetic Causality for Complex Phenotype via Deep Association Kernel Learning.Patterns (New York, N.Y.) · 2020Article
- Novel miRNA signature for predicting the stage of hepatocellular carcinoma.Scientific reports · 2020Article
- Circulating microRNA trafficking and regulation: computational principles and practice.Briefings in bioinformatics · 2020Review
- Co-regulatory Network of Oncosuppressor miRNAs and Transcription Factors for Pathology of Human Hepatic Cancer Stem Cells (HCSC).Scientific reports · 2019Article
- Common Deregulation of Seven Biological Processes by MicroRNAs in Gastrointestinal Cancers.Scientific reports · 2018Article
- Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.World journal of surgical oncology · 2017Article
- Identification of More Feasible MicroRNA-mRNA Interactions within Multiple Cancers Using Principal Component Analysis Based Unsupervised Feature Extraction.International journal of molecular sciences · 2016Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatocellular carcinoma (HCC) is one of the most common malignancies worldwide. HCC has a poor prognosis associated with tumor recurrence and drug resistance, which has been attributed to the existence of hepatic cancer stem cells (HCSCs). However, the characteristics and regulatory mechanisms of HCSCs remain unclear. We therefore established a novel system to enrich HCSCs and we demonstrate that these HCSCs exhibit cancer stem cell properties.
methodsWe used miRNA and mRNA high-throughput sequencing data sets to determine molecular signatures and regulatory mechanisms in HCSCs. Paired miRNA and gene deep sequencing data in HCSCs versus HCC cells were used to identify candidate biomarkers of HCSCs. Using network analysis, we studied the relationship between miRNA and gene biomarkers, and KEGG pathway enrichment analysis was performed to study the function of candidate biomarkers.
resultsWe identified 9 up- and 9 down-regulated miRNAs and 115 up- and 402 down-regulated genes in HCSCs compared with HCC cells. A miRNA-gene network was constructed using 651 miRNA-gene interactions (between 7 up-regulated miRNAs and 274 down-regulated genes), and 103 miRNA-gene interactions (between 9 down-regulated miRNAs and 62 up-regulated genes). Pathway enrichment analysis identified five tumor invasion- and metastasis-related pathways and MAPK signaling associated with HCSCs. We further discovered two novel pathways that likely play a role in the regulation of HCSCs.
conclusionsWe identified a molecular expression signature and pathway regulatory mechanisms in HCSCs with potential diagnostic and therapeutic value.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.