ArticleJournal of experimental & clinical cancer research : CR2016
Microarray-based identification of genes associated with cancer progression and prognosis in hepatocellular carcinoma.
Article in Journal of experimental & clinical cancer research : CR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- A regulation probability model-based meta-analysis of multiple transcriptomics data sets for cancer biomarker identification.BMC bioinformatics · 2017Pooled it
- Article
- Integrative Bioinformatics Analysis for Targeting Hub Genes in Hepatocellular Carcinoma Treatment.Current genomics · 2025Article
- A hypoxia-related prognostic model predicts overall survival and treatment response in hepatocellular carcinoma.Bioscience reports · 2022Article
- Identification of Potential Prognostic Markers and Key Therapeutic Targets in Hepatocellular Carcinoma Using Weighted Gene Co-Expression Network Analysis: A Systems Biology Approach.Iranian journal of biotechnology · 2022Article
- Prediction of Hepatocellular Carcinoma Prognosis and Immune Cell Infiltration Using Gene Signature Associated with Inflammatory Response.Computational and mathematical methods in medicine · 2022Article
- Identification of candidate genes associated with clinical onset of Alzheimer's disease.Frontiers in neuroscience · 2022Article
- CCNB2, CDC20, AURKA, TOP2A, MELK, NCAPG, KIF20A, UBE2C, PRC1, and ASPM May Be Potential Therapeutic Targets for Hepatocellular Carcinoma Using Integrated Bioinformatic Analysis.International journal of general medicine · 2021Article
- Identification and Validation of Key Genes in Hepatocellular Carcinoma by Bioinformatics Analysis.BioMed research international · 2021Article
- A hypoxia-related signature for clinically predicting diagnosis, prognosis and immune microenvironment of hepatocellular carcinoma patients.Journal of translational medicine · 2020Article
- Predicting the Clinical Outcome of Lung Adenocarcinoma Using a Novel Gene Pair Signature Related to RNA-Binding Protein.BioMed research international · 2020Article
- miR-1249-3p accelerates the malignancy phenotype of hepatocellular carcinoma by directly targeting HNRNPK.Molecular genetics & genomic medicine · 2019Article
- Elevated SPINK2 gene expression is a predictor of poor prognosis in acute myeloid leukemia.Oncology letters · 2019Article
- Identification and analysis of genes associated with head and neck squamous cell carcinoma by integrated bioinformatics methods.Molecular genetics & genomic medicine · 2019Article
- Identification of genes associated with cancer progression and prognosis in lung adenocarcinoma: Analyses based on microarray from Oncomine and The Cancer Genome Atlas databases.Molecular genetics & genomic medicine · 2019Article
- Integrative analysis of gene expression profiles reveals distinct molecular characteristics in oral tongue squamous cell carcinoma.Oncology letters · 2019Article
- Comprehensive analysis of potential prognostic genes for the construction of a competing endogenous RNA regulatory network in hepatocellular carcinoma.OncoTargets and therapy · 2019Article
- INTS8 accelerates the epithelial-to-mesenchymal transition in hepatocellular carcinoma by upregulating the TGF-β signaling pathway.Cancer management and research · 2019Article
- Classification of early and late stage liver hepatocellular carcinoma patients from their genomics and epigenomics profiles.PloS one · 2019Article
- SPP1 functions as an enhancer of cell growth in hepatocellular carcinoma targeted by miR-181c.American journal of translational research · 2019Article
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatocellular carcinoma (HCC) is the third leading cause of cancer-related deaths. The average survival and 5-year survival rates of HCC patients still remains poor. Thus, there is an urgent need to better understand the mechanisms of cancer progression in HCC and to identify useful biomarkers to predict prognosis.
methodsPublic data portals including Oncomine, The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) profiles were used to retrieve the HCC-related microarrays and to identify potential genes contributed to cancer progression. Bioinformatics analyses including pathway enrichment, protein/gene interaction and text mining were used to explain the potential roles of the identified genes in HCC. Quantitative real-time polymerase chain reaction analysis and Western blotting were used to measure the expression of the targets. The data were analysed by SPSS 20.0 software.
resultsWe identified 80 genes that were significantly dysregulated in HCC according to four independent microarrays covering 386 cases of HCC and 327 normal liver tissues. Twenty genes were consistently and stably dysregulated in the four microarrays by at least 2-fold and detection of gene expression by RT-qPCR and western blotting showed consistent expression profiles in 11 HCC tissues compared with corresponding paracancerous tissues. Eleven of these 20 genes were associated with disease-free survival (DFS) or overall survival (OS) in a cohort of 157 HCC patients, and eight genes were associated with tumour pathologic PT, tumour stage or vital status. Potential roles of those 20 genes in regulation of HCC progression were predicted, primarily in association with metastasis. INTS8 was specifically correlated with most clinical characteristics including DFS, OS, stage, metastasis, invasiveness, diagnosis, and age.
conclusionThe significantly dysregulated genes identified in this study were associated with cancer progression and prognosis in HCC, and might be potential therapeutic targets for HCC treatment or potential biomarkers for diagnosis and prognosis.
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