ArticleAsian Pacific journal of cancer prevention : APJCP2018
Identification of Key Candidate Genes and Pathways in Endometrial Cancer by Integrated Bioinformatical Analysis
Article in Asian Pacific journal of cancer prevention : APJCP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 33 citations in OpenAlex.
- The Janus Face of sFRP4 in Cancer: From Mechanistic Complexity to Therapeutic Potential.International journal of molecular sciences · 2026Review
- Shared genetic aetiology of Alzheimer's disease and age-related macular degeneration by APOC1 and APOE genes.BMJ neurology open · 2024Article
- The role of Pcdh10 in neurological disease and cancer.Journal of cancer research and clinical oncology · 2023Review
- Bioinformatics and pathway enrichment analysis identified hub genes and potential biomarker for gastric cancer prognosis.Frontiers in oncology · 2023Article
- Article
- The Exploration of Chemokines Importance in the Pathogenesis and Development of Endometrial Cancer.Molecules (Basel, Switzerland) · 2022Review
- The roles and clinical applications of interleukins in endometrial carcinoma.Frontiers in oncology · 2022Review
- Identification of differential key biomarkers in the synovial tissue between rheumatoid arthritis and osteoarthritis using bioinformatics analysis.Clinical rheumatology · 2021Article
- Cobalt-induced oxidative stress contributes to alveolar/bronchiolar carcinogenesis in B6C3F1/N mice.Archives of toxicology · 2021Article
- Identification of the potential novel biomarkers as susceptibility gene for Wilms tumor.BMC cancer · 2021Article
- Integrative Analysis of Differently Expressed Genes Reveals a 17-Gene Prognosis Signature for Endometrial Carcinoma.BioMed research international · 2021Article
- Abnormal spindle-like microcephaly-associated (ASPM) gene expression in posterior fossa brain tumors of childhood and adolescence.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2021Article
- Identification of core genes in the progression of endometrial cancer and cancer cell-derived exosomes by an integrative analysis.Scientific reports · 2020Article
- ASPM is a predictor of overall survival and has therapeutic potential in endometrial cancer.American journal of translational research · 2020Article
- Differential Metabolic Alterations and Biomarkers Between Gastric Cancer and Colorectal Cancer: A Systematic Review and Meta-Analysis.OncoTargets and therapy · 2020Article
- Identification of key candidate genes and pathways in endometrial cancer: Evidence from bioinformatics analysis.Oncology letters · 2019Article
- Anti-Müllerian Hormone Expression in Endometrial Cancer Tissue.International journal of molecular sciences · 2019Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Endometrial Cancer is the most common female genital tract malignancy, its pathogenesis is complex, not yet fully described. To identify key genes of Endometrial Cancer we downloaded the gene chip GSE17025 from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified through the GEO2R analysis tool. Functional and pathway enrichment analysis were performed for DEGs using DAVID database. The network of protein–protein-interaction (PPI) was established by STRING website and visualized by Cytoscape. Then, functional and pathway enrichment analysis of DEGS were performed by DAVID database. A total of 1000 significant differences genes were obtained, contain 362 up-regulated genes and 638 down-regulated genes. PCDH10, SLC6A2, OGN, SFRP4, TRH, ANGPTL, FOSB are down-regulated genes. The gene of IGH, CCL20, ELF5, LTF, ASPM expression level in tumor patients are up-regulated. Biological function of enrichment include metabolism of xenobiotics by cytochrome P450, MAPK signaling pathway, Serotonergic synapse, Protein digestion and absorption, IL-17 signaling pathway, Chemokine signaling pathway, HIF-1 signaling pathway, p53 signaling pathway. All in all, the current study to determine endometrial differentially expressed genes and biological function, comprehensive analysis of intrauterine membrane carcinoma pathogenesis mechanism, and might be used as molecular targets and diagnostic biomarkers for the treatment of endometrial cancer.
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