ArticleOncology reports2017
Screening and identification of key biomarkers in hepatocellular carcinoma: Evidence from bioinformatic analysis.
Article in Oncology reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 127 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.
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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
127 citing papers in PubMed, 218 citations in OpenAlex.
- BUB1 regulates cell proliferation and apoptosis in cervical cancer by AKT signaling and autophagosome-lysosome fusion via ACTN1.iScience · 2026Article
- Genetic alterations are related to clinicopathological features and risk of recurrence/metastasis of hepatocellular carcinoma.European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation (ECP) · 2025Article
- Proteomic and metabolomic analysis of platelet related samples reveals energy metabolism disorders in hepatocellular carcinoma.Journal of translational medicine · 2025Article
- Candidate target genes in sepsis diagnosis and therapy: identifying hub genes with a spotlight on KLRB1.BMC infectious diseases · 2025Article
- Unveiling hub genes and biological pathways: A bioinformatics analysis of Trauma-Induced Coagulopathy (TIC).PloS one · 2025Article
- Statistical and machine learning based platform-independent key genes identification for hepatocellular carcinoma.PloS one · 2025Article
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- Mechanisms of Shufeng Jiedu Capsule in treating bacterial pneumonia based on network pharmacology and experimental verification.Chinese herbal medicines · 2024Article
- The consistently up-regulated expression of NLRP3 in severe asthma patients from mRNA microarray and ovalbumin-induced mouse model of asthma.Journal of thoracic disease · 2024Article
- Screening and molecular docking verification of feature genes related to phospholipid metabolism in hepatocarcinoma caused by hepatitis B.Lipids in health and disease · 2024Article
- Construction of m7G RNA modification-related prognostic model and prediction of immune therapy response in hepatocellular carcinoma.Translational cancer research · 2024Article
- Regulation ofWorld journal of clinical oncology · 2024Article
- Identification of allograft inflammatory factor-1 suppressing the progression and indicating good prognosis of osteosarcoma.BMC musculoskeletal disorders · 2024Article
- Centrosome amplification-related signature correlated with immune microenvironment and treatment response predicts prognosis and improves diagnosis of hepatocellular carcinoma by integrating machine learning and single-cell analyses.Hepatology international · 2024Article
- Diagnosis of the Initial Stage of Hepatocellular Carcinoma: A Review.Current pharmaceutical design · 2024Review
- Comprehensive Profiling and Therapeutic Insights into Differentially Expressed Genes in Hepatocellular Carcinoma.Cancers · 2023Article
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67 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide. Intense efforts have been made to elucidate the pathogeny, but the molecular mechanisms of HCC are still not well understood. To identify the candidate genes in the carcinogenesis and progression of HCC, microarray datasets GSE19665, GSE33006 and GSE41804 were downloaded from Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified, and function enrichment analyses were performed. The protein-protein interaction network (PPI) was constructed and the module analysis was performed using STRING and Cytoscape. A total of 273 DEGs were identified, consisting of 189 downregulated genes and 84 upregulated genes. The enriched functions and pathways of the DEGs include protein activation cascade, complement activation, carbohydrate binding, complement and coagulation cascades, mitotic cell cycle and oocyte meiosis. Sixteen hub genes were identified and biological process analysis revealed that these genes were mainly enriched in cell division, cell cycle and nuclear division. Survival analysis showed that BUB1, CDC20, KIF20A, RACGAP1 and CEP55 may be involved in the carcinogenesis, invasion or recurrence of HCC. In conclusion, DEGs and hub genes identified in the present study help us understand the molecular mechanisms underlying the carcinogenesis and progression of HCC, and provide candidate targets for diagnosis and treatment of HCC.
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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.