SynthesisGenomics, proteomics & bioinformatics2013
An integrative meta-analysis of microRNAs in hepatocellular carcinoma.
Synthesis in Genomics, proteomics & bioinformatics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.
- micro-RNAs dependent regulation of DNMT and HIF1α gene expression in thrombotic disorders.Scientific reports · 2019Pooled it
- Identification of circulating MicroRNAs as novel potential biomarkers for hepatocellular carcinoma detection: a systematic review and meta-analysis.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2015Pooled it
- Let-7a and miR-34a Interplay Potent Suppressive Roles in Hepatocellular Carcinoma via Co-TargetingInternational journal of molecular sciences · 2026Article
- Integrative analysis of miRNA expression data reveals a minimal signature for tumour cells classification.Computational and structural biotechnology journal · 2025Article
- Preparation and Optimization of MiR-375 Nano-Vector Using Two Novel Chitosan-Coated Nano-Structured Lipid Carriers as Gene Therapy for Hepatocellular Carcinoma.Pharmaceutics · 2024Article
- The role of microRNAs in hepatocellular carcinoma: Therapeutic targeting of tumor suppressor and oncogenic genes.Clinical and experimental hepatology · 2023Review
- Review
- In Silico Analysis of MicroRNA Expression Data in Liver Cancer.Cancer informatics · 2023Article
- In Silico and In Vivo Evaluation of microRNA-181c-5p's Role in Hepatocellular Carcinoma.Genes · 2022Article
- Copy number variation is highly correlated with differential gene expression: a pan-cancer study.BMC medical genetics · 2019Article
- Co-regulatory Network of Oncosuppressor miRNAs and Transcription Factors for Pathology of Human Hepatic Cancer Stem Cells (HCSC).Scientific reports · 2019Article
- Systems Biology Approach to Identify Novel Genomic Determinants for Pancreatic Cancer Pathogenesis.Scientific reports · 2019Article
- BioGraph: a web application and a graph database for querying and analyzing bioinformatics resources.BMC systems biology · 2018Article
- miR-29a-3p suppresses cell proliferation and migration by downregulating IGF1R in hepatocellular carcinoma.Oncotarget · 2017Article
- Meta-analytic support vector machine for integrating multiple omics data.BioData mining · 2017Article
- Presence and function of microRNA-92a in chondrogenic ATDC5 and adipose-derived mesenchymal stem cells.Molecular medicine reports · 2015Article
- MicroRNAs dysregulation in hepatocellular carcinoma: Insights in genomic medicine.World journal of hepatology · 2015Review
- miR-630 overexpression in hepatocellular carcinoma tissues is positively correlated with alpha-fetoprotein.Medical science monitor : international medical journal of experimental and clinical research · 2015Article
- Serum MicroRNAs as Potential Biomarkers for Early Diagnosis of Hepatitis C Virus-Related Hepatocellular Carcinoma in Egyptian Patients.PloS one · 2015Article
- Biomarker-based MicroRNA Therapeutic Strategies for Hepatocellular Carcinoma.Journal of clinical and translational hepatology · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to shed new light on the roles of microRNAs (miRNAs) in liver cancer using an integrative in silico bioinformatics analysis. A new protocol for target prediction and functional analysis is presented and applied to the 26 highly differentially deregulated miRNAs in hepatocellular carcinoma. This framework comprises: (1) the overlap of prediction results by four out of five target prediction tools, including TargetScan, PicTar, miRanda, DIANA-microT and miRDB (combining machine-learning, alignment, interaction energy and statistical tests in order to minimize false positives), (2) evidence from previous microarray analysis on the expression of these targets, (3) gene ontology (GO) and pathway enrichment analysis of the miRNA targets and their pathways and (4) linking these results to oncogenesis and cancer hallmarks. This yielded new insights into the roles of miRNAs in cancer hallmarks. Here we presented several key targets and hundreds of new targets that are significantly enriched in many new cancer-related hallmarks. In addition, we also revealed some known and new oncogenic pathways for liver cancer. These included the famous MAPK, TGFβ and cell cycle pathways. New insights were also provided into Wnt signaling, prostate cancer, axon guidance and oocyte meiosis pathways. These signaling and developmental pathways crosstalk to regulate stem cell transformation and implicate a role of miRNAs in hepatic stem cell deregulation and cancer development. By analyzing their complete interactome, we proposed new categorization for some of these miRNAs as either tumor-suppressors or oncomiRs with dual roles. Therefore some of these miRNAs may be addressed as therapeutic targets or used as therapeutic agents. Such dual roles thus expand the view of miRNAs as active maintainers of cellular homeostasis.
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What OpenQuestion holds
Registered trials
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.