ArticleWorld journal of surgical oncology2017
Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis.
Article in World journal of surgical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.
- Expression of microRNA-99a-3p in Prostate Cancer Based on Bioinformatics Data and Meta-Analysis of a Literature Review of 965 Cases.Medical science monitor : international medical journal of experimental and clinical research · 2018Pooled it
- Statistical and machine learning based platform-independent key genes identification for hepatocellular carcinoma.PloS one · 2025Article
- Article
- Differentially expressed non-coding RNAs and their regulatory networks in liver cancer.Heliyon · 2023Review
- Identification of the key miRNA-mRNA regulatory network in lung adenocarcinoma.Journal of thoracic disease · 2023Article
- Differentially expressed discriminative genes and significant meta-hub genes based key genes identification for hepatocellular carcinoma using statistical machine learning.Scientific reports · 2023Article
- Bioinformatic identification of differentially expressed genes associated with hepatocellular carcinoma prognosis.Medicine · 2022Article
- Positive regulation of ataxia-telangiectasia-mutated protein (ATM) by E2F transcription Factor 1 (E2F-1) in cisplatin-resistant nasopharyngeal carcinoma cells.World journal of surgical oncology · 2022Article
- Transcriptomic analysis reveals myometrial topologically associated domains linked to the onset of human term labour.Molecular human reproduction · 2022Article
- Role of microRNAs in response to cadmium chloride in pancreatic ductal adenocarcinoma.Archives of toxicology · 2022Article
- Screening and analysis of RNAs associated with activated memory CD4 and CD8 T cells in liver cancer.World journal of surgical oncology · 2022Article
- Meta-analysis of transcriptomics data identifies potential biomarkers and their associated regulatory networks in gallbladder cancer.Gastroenterology and hepatology from bed to bench · 2022Review
- A prognostic model for hepatocellular carcinoma based on apoptosis-related genes.World journal of surgical oncology · 2021Article
- Network-Based Approach and IVI Methodologies, a Combined Data Investigation Identified Probable Key Genes in Cardiovascular Disease and Chronic Kidney Disease.Frontiers in cardiovascular medicine · 2021Article
- Bioinformatic Analysis Identified Potentially Prognostic Long Noncoding RNAs and MicroRNAs for Gastric Cancer.BioMed research international · 2021Article
- Identification of potential hub genes associated with the pathogenesis and prognosis of hepatocellular carcinoma via integrated bioinformatics analysis.The Journal of international medical research · 2020Article
- MicroRNA and liver cancer.Cancer drug resistance (Alhambra, Calif.) · 2020Review
- LCN2 Is a Potential Biomarker for Radioresistance and Recurrence in Nasopharyngeal Carcinoma.Frontiers in oncology · 2020Article
- Human amniotic membrane conditioned medium inhibits proliferation and modulates related microRNAs expression in hepatocarcinoma cells.Scientific reports · 2019Article
- Identification and interaction analysis of key miRNAs in medullary thyroid carcinoma by bioinformatics analysis.Molecular medicine reports · 2019Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatocellular carcinoma (HCC) is the most common liver malignancy worldwide. However, present studies of its multiple gene interaction and cellular pathways still could not explain the initiation and development of HCC perfectly. To find the key genes and miRNAs as well as their potential molecular mechanisms in HCC, microarray data GSE22058, GSE25097, and GSE57958 were analyzed.
methodsThe microarray datasets GSE22058, GSE25097, and GSE57958, including mRNA and miRNA profiles, were downloaded from the GEO database and were analyzed using GEO2R. Functional and pathway enrichment analyses were performed using the DAVID database, and the protein-protein interaction (PPI) network was constructed using the Cytoscape software. Finally, miRDB was applied to predict the targets of the differentially expressed miRNAs (DEMs).
resultsA total of 115 differentially expressed genes (DEGs) were found in HCC, including 52 up-regulated genes and 63 down-regulated genes. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses from DAVID showed that up-regulated genes were significantly enriched in chromosome segregation and cell division, while the down-regulated genes were mainly involved in complement activation, protein activation cascades, carboxylic acid metabolic processes, oxoacid metabolic processes, and the immune response. From the PPI network, the 18 nodes with the highest degree were screened as hub genes. Among them, ESR1 was found to have close interactions with FOXO1, CXCL12, and GNAO1. In addition, a total of 64 DEMs were identified, which included 58 up-regulated miRNAs and 6 down-regulated miRNAs. ESR1 was potentially targeted by five miRNAs, including hsa-mir-18a and hsa-mir-221.
conclusionsThe roles of DEMs like hsa-mir-221 in HCC through interactions with DEGs such as ESR1 and CXCL12 may provide new clues for the diagnosis and treatment of HCC patients.
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