ArticleMolecular medicine reports2017
Molecular mechanisms of pathogenesis in hepatocellular carcinoma revealed by RNA‑sequencing.
Article in Molecular medicine reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 30 citations in OpenAlex.
- SOX9 and TNFAIP3 dysregulation in HCV-associated HCC after DAA therapy: insights into post-viral oncogenic memory.Infectious agents and cancer · 2026Article
- m6A methyltransferase METTL14‑mediated RP1‑228H13.5 promotes the occurrence of liver cancer by targeting hsa‑miR‑205/ZIK1.Oncology reports · 2024Article
- Phosphatidylinositol glycan anchor biosynthesis, class C is a prognostic biomarker and correlates with immune infiltrates in hepatocellular carcinoma.Frontiers in genetics · 2022Article
- Target and drug predictions for SARS-CoV-2 infection in hepatocellular carcinoma patients.PloS one · 2022Article
- MKL1 regulates hepatocellular carcinoma cell proliferation, migration and apoptosis via the COMPASS complex and NF-κB signaling.BMC cancer · 2021Article
- Specific MiRNAs in naïve T cells associated with Hepatitis C Virus-induced Hepatocellular Carcinoma.Journal of Cancer · 2021Article
- Review
- GPI-AP: Unraveling a New Class of Malignancy Mediators and Potential Immunotherapy Targets.Frontiers in oncology · 2020Review
- Aging Science Talks: The role of miR-181a in age-related loss of muscle mass and function.Translational medicine of aging · 2020Article
- MicroRNA-197-3p acts as a prognostic marker and inhibits cell invasion in hepatocellular carcinoma.Oncology letters · 2019Article
- Potential biomarkers of HCC based on gene expression and DNA methylation profiles.Oncology letters · 2018Article
Corrections and comments
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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
The present study aimed to explore the underlying molecular mechanisms of hepatocellular carcinoma (HCC). RNA‑sequencing profiles GSM629264 and GSM629265, from the GSE25599 data set, were downloaded from the Gene Expression Omnibus database and processed by quality evaluation. GSM629264 and GSM629265 were from HCC and adjacent non‑cancerous tissues, respectively. TopHat software was used for alignment analysis, followed by the detection of novel splicing sites. In addition, the Cufflinks software package was used to analyze gene expressions, and the Cuffdiff program was used to screen for differently expressed genes (DEGs) and differentially expressed splicing variants. Gene ontology functional enrichment and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses of DEGs were also performed. Transcription factors (TFs) and microRNAs (miRNAs) that regulate DEGs were identified, and a protein‑protein interaction (PPI) network was constructed. The hub node in the PPI network was obtained, and the TFs and miRNAs that regulated the hub node were further predicted. The quality of the sequencing data met the standards for analysis, and the clean reads were ~65%. Most sequencing reads mapped into coding sequence exons (CDS_exons), whereas other reads mapped into exon 3' untranslated regions (UTR_Exons), 5'UTR_Exons and Introns. Upregulated and downregulated DEGs between HCC and adjacent non‑cancerous tissues were screened. Genes of differentially expressed splicing variants were identified, including vesicle‑associated membrane protein 4, phosphatidylinositol glycan anchor biosynthesis class C, protein disulfide isomerase family A member 4 and growth arrest specific 5. Screened DEGs were enriched in the complement pathway. In the PPI network, ubiquitin C (UBC) was the hub node. UBC was predicted to be regulated by several TFs, including specificity protein 1 (SP1), FBJ murine osteosarcoma viral oncogene homolog (FOS), proto‑oncogene c‑JUN (JUN), FOS‑like antigen 2 (FOSL2) and SWI/SNF‑related, matrix‑associated, actin‑dependent regulator of chromatin, subfamily A, member 4 (SMARCA4), and several miRNAs, including miR‑30 and miR‑181. Results from the present study demonstrated that UBC, SP1, FOS, JUN, FOSL2, SMARCA4, miR‑30 and miR‑181 may participate in the development of HCC.
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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.