ArticleDiagnostic pathology2017
A transcriptome profile in hepatocellular carcinomas based on integrated analysis of microarray studies.
Article in Diagnostic pathology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- A potential tumor marker: Chaperonin containing TCP‑1 controls the development of malignant tumors (Review).International journal of oncology · 2023Review
- Transcriptome analysis creates a new era of precision medicine for managing recurrent hepatocellular carcinoma.World journal of gastroenterology · 2023Review
- Meta-analysis of transcriptomics data identifies potential biomarkers and their associated regulatory networks in gallbladder cancer.Gastroenterology and hepatology from bed to bench · 2022Review
- Transcriptomic data analysis coupled with copy number aberrations reveals a blood-based 17-gene signature for diagnosis and prognosis of patients with colorectal cancer.Frontiers in genetics · 2022Article
- Underlying mechanism of sorafenib resistance in hepatocellular carcinoma: a bioinformatics study based on validated resistance-related genes.Journal of gastrointestinal oncology · 2021Article
- A Network-Based Methodology to Identify Subnetwork Markers for Diagnosis and Prognosis of Colorectal Cancer.Frontiers in genetics · 2021Article
- A transcriptome profile in gallbladder cancer based on annotation analysis of microarray studies.Molecular medicine reports · 2021Article
- Identification of Gene Signature as Diagnostic and Prognostic Blood Biomarker for Early Hepatocellular Carcinoma Using Integrated Cross-Species Transcriptomic and Network Analyses.Frontiers in genetics · 2021Article
- Identification of Pathogenic Genes and Transcription Factors in Osteosarcoma.Pathology oncology research : POR · 2020Article
- Transcriptome Analysis Revealed a Highly Connected Gene Module Associated With Cirrhosis to Hepatocellular Carcinoma Development.Frontiers in genetics · 2019Article
- Article
- SOCS1 regulates senescence and ferroptosis by modulating the expression of p53 target genes.Aging · 2017Article
- DEIsoM: a hierarchical Bayesian model for identifying differentially expressed isoforms using biological replicates.Bioinformatics (Oxford, England) · 2017Article
- Review
- Cytochrome P450 family members are associated with fast-growing hepatocellular carcinoma and patient survival: An integrated analysis of gene expression profiles.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology AssociationArticle
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite new treatment options for hepatocellular carcinomas (HCC) recently, 5-year survival remains poor, ranging from 50 to 70%, which may attribute to the lack of early diagnostic biomarkers. Thus, developing new biomarkers for early diagnosis of HCC, is extremely urgent, aiming to decrease HCC-related deaths.
methodsIn the study, we conducted a comprehensive characterization of gene expression data of HCC based on a bioinformatics method. The results were confirmed by real time polymerase chain reaction (RT-PCR) and TCGA database to prove the credibility of this integrated analysis.
resultsAfter integrating analysis of seven HCC gene expression datasets, 1167 differential expressed genes (DEGs) were identified. These genes mainly participated in the process of cell cycle, oocyte meiosis, and oocyte maturation mediated by progesterone. The results of experiments and TCGA database validation in 10 genes was in full accordance with findings in integrated analysis, indicating the high credibility of our integrated analysis of different gene expression datasets. ASPM, CCT3, and NEK2 was showed to be significantly associated with overall survival of HCC patients in TCGA database.
conclusionThis method of integrated analysis may be a useful tool to minish the heterogeneity of individual microarray, hopefully outputs more accurate HCC transcriptome profiles based on large sample size, and explores some potential biomarkers and therapy targets for HCC.
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