ArticleGut and liver2017
Integrative Analysis of Microarray Data to Reveal Regulation Patterns in the Pathogenesis of Hepatocellular Carcinoma.
Article in Gut and liver, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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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.
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Who cites it
18 citing papers in PubMed, 30 citations in OpenAlex.
- Paradoxical oncogenic effects of hepatic Brca1 through modulating Bhmt.Scientific reports · 2026Article
- Transcriptomic-Based Identification of miR-125a Novel Targets in Human Hepatocarcinoma Cells.Biomolecules · 2025Article
- The Prognostic Significance of FOXD1 Expression in Head and Neck Squamous Cell Carcinoma.Journal of personalized medicine · 2023Article
- Prediction of liver cancer prognosis based on immune cell marker genes.Frontiers in immunology · 2023Article
- Dissecting novel mechanisms of hepatitis B virus related hepatocellular carcinoma using meta-analysis of public data.World journal of gastrointestinal oncology · 2022Article
- Article
- Hepatic ARID3A facilitates liver cancer malignancy by cooperating with CEP131 to regulate an embryonic stem cell-like gene signature.Cell death & disease · 2022Article
- Low Level of PALMD Contributes to the Metastasis of Uveal Melanoma.Frontiers in oncology · 2022Article
- A zinc finger family protein, ZNF263, promotes hepatocellular carcinoma resistance to apoptosis via activation of ER stress-dependent autophagy.Translational oncology · 2020Article
- Dietary Erythrodiol Modifies Hepatic Transcriptome in Mice in a Sex and Dose-Dependent Way.International journal of molecular sciences · 2020Article
- BIOMEX: an interactive workflow for (single cell) omics data interpretation and visualization.Nucleic acids research · 2020Article
- ZNF263 is a transcriptional regulator of heparin and heparan sulfate biosynthesis.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Mechanistic Modeling of Gene Regulation and Metabolism Identifies Potential Targets for Hepatocellular Carcinoma.Frontiers in genetics · 2020Article
- Upregulation of CENPM promotes hepatocarcinogenesis through mutiple mechanisms.Journal of experimental & clinical cancer research : CR · 2019Article
- Classification of early and late stage liver hepatocellular carcinoma patients from their genomics and epigenomics profiles.PloS one · 2019Article
- Potential biomarkers of HCC based on gene expression and DNA methylation profiles.Oncology letters · 2018Article
- The multisystemic functions of FOXD1 in development and disease.Journal of molecular medicine (Berlin, Germany) · 2018Review
- Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimsThe integration of multiple profiling data and the construction of a transcriptional regulatory network may provide additional insights into the molecular mechanisms of hepatocellular carcinoma (HCC). The present study was conducted to investigate the deregulation of genes and the transcriptional regulatory network in HCC.
methodsAn integrated analysis of HCC gene expression datasets was performed in Gene Expression Omnibus. Functional annotation of the differentially expression genes (DEGs) was conducted. Furthermore, transcription factors (TFs) were identified, and a global transcriptional regulatory network was constructed.
resultsAn integrated analysis of eight eligible gene expression profiles of HCC led to 1,835 DEGs. Consistent with the fact that the cell cycle is closely related to various tumors, the functional annotation revealed that genes involved in the cell cycle were significantly enriched. A transcriptional regulatory network was constructed using the 62 TFs, which consisted of 872 TF-target interactions between 56 TFs and 672 DEGs in the context of HCC. The top 10 TFs covering the most downstream DEGs were ZNF354C, NFATC2, ARID3A, BRCA1, ZNF263, FOXD1, GATA3, FOXO3, FOXL1, and NR4A2. This network will appeal to future investigators focusing on the development of HCC.
conclusionsThe transcriptional regulatory network can provide additional information that is valuable in understanding the underlying molecular mechanism in hepatic tumorigenesis.
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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.