ArticleCurrent genomics2019
Bioinformatics Analysis based on Multiple Databases Identifies Hub Genes Associated with Hepatocellular Carcinoma.
Article in Current genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
37 citing papers in PubMed, 63 citations in OpenAlex.
- Decoding the hub gene blueprint for broiler liver development: A synergistic histomorphological and transcriptomic investigation during the neonatal phase.Poultry science · 2026Article
- ZNF460 inhibits HMGCL and promotes PI3K pathway in colon cancer.Translational cancer research · 2026Article
- Comprehensive analysis of diverse cytokine patterns in the prognosis and tumor microenvironment of lung adenocarcinoma.Discover oncology · 2026Article
- Prognostic significance and immune landscape of anoikis-related genes in hepatocellular carcinoma: a multi-omics analysis of subtypes and cellular communication.Clinical and experimental medicine · 2026Article
- Expression of kinetochore component NDC80 promotes esophageal squamous cell carcinoma cells proliferation and migration.BMC gastroenterology · 2025Article
- High interstitial fluid pressure enhances USP1-dependent KIF11 protein stability to promote hepatocellular carcinoma progression.Journal of translational medicine · 2025Article
- Machine Learning Approach and Bioinformatics Analysis Discovered Key Genomic Signatures for Hepatitis B Virus-Associated Hepatocyte Remodeling and Hepatocellular Carcinoma.Cancer informatics · 2025Review
- Article
- Article
- BUB1 as a novel marker for predicting the immunotherapy efficacy and prognosis of breast cancer.Translational cancer research · 2024Article
- A multi-parametric prognostic model based on clinicopathologic features: vessels encapsulating tumor clusters and hepatic plates predict overall survival in hepatocellular carcinoma patients.Journal of translational medicine · 2024Article
- mEpigenetics · 2023Article
- P2RY13 is a prognostic biomarker and associated with immune infiltrates in renal clear cell carcinoma: A comprehensive bioinformatic study.Health science reports · 2023Article
- A novel pyroptosis-related signature predicts prognosis and indicates immunotherapy in oral squamous cell carcinoma.Journal of cancer research and clinical oncology · 2023Article
- A pyroptosis-related gene signature predicting survival and tumor immune microenvironment in breast cancer and validation.BMC cancer · 2022Article
- Gene signatures, immune infiltration, and drug sensitivity based on a comprehensive analysis of m6a RNA methylation regulators in cervical cancer.Journal of translational medicine · 2022Article
- A risk scoring system based on tumor microenvironment cells to predict prognosis and immune activity in triple-negative breast cancer.Breast cancer (Tokyo, Japan) · 2022Article
- Comprehensive analysis of cuproptosis-related genes and tumor microenvironment infiltration characterization in breast cancer.Frontiers in immunology · 2022Article
- Use of Single Cell Transcriptomic Techniques to Study the Role of High-Risk Human Papillomavirus Infection in Cervical Cancer.Frontiers in immunology · 2022Article
- A Nomogram-Based Risk Classification System Predicting the Overall Survival of Childhood with Clear Cell Sarcoma of the Kidney Based on the SEER Database.Evidence-based complementary and alternative medicine : eCAM · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHepatocellular carcinoma (HCC) is the most common liver cancer and the mechanisms of hepatocarcinogenesis remain elusive.
objectiveThis study aims to mine hub genes associated with HCC using multiple databases.
methodsData sets GSE45267, GSE60502, GSE74656 were downloaded from GEO database. Differentially expressed genes (DEGs) between HCC and control in each set were identified by limma software. The GO term and KEGG pathway enrichment of the DEGs aggregated in the datasets (aggregated DEGs) were analyzed using DAVID and KOBAS 3.0 databases. Protein-protein interaction (PPI) network of the aggregated DEGs was constructed using STRING database. GSEA software was used to verify the biological process. Association between hub genes and HCC prognosis was analyzed using patients' information from TCGA database by survminer R package.
resultsFrom GSE45267, GSE60502 and GSE74656, 7583, 2349, and 553 DEGs were identified respectively. A total of 221 aggregated DEGs, which were mainly enriched in 109 GO terms and 29 KEGG pathways, were identified. Cell cycle phase, mitotic cell cycle, cell division, nuclear division and mitosis were the most significant GO terms. Metabolic pathways, cell cycle, chemical carcinogenesis, retinol metabolism and fatty acid degradation were the main KEGG pathways. Nine hub genes (
conclusion
Indexed as
Identifiers
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.