ArticleComputational and mathematical methods in medicine2022
Identification of Key Genes and Pathways in Osteosarcoma by Bioinformatics Analysis.
Article in Computational and mathematical methods in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Macrophage plasticity in the osteosarcoma tumor microenvironment: opportunities and challenges for immunotherapy.Journal of cancer research and clinical oncology · 2026Review
- A Novel Palmitoylation-Related Molecular Signature for Predicting and Therapeutically Targeting Alzheimer's Disease.Molecular neurobiology · 2025Article
- A pyrimidine metabolism-related gene signature for prognosis prediction and immune microenvironment description of breast cancer.Journal of translational medicine · 2025Article
- RACK1 promotes NF-κB pathway activation and glioma cell proliferation by inhibiting RPS2 ubiquitination.Molecular biology reports · 2025Article
- Targeting metastasis in paediatric bone sarcomas.Molecular cancer · 2025Review
- Review
- Identification of allograft inflammatory factor-1 suppressing the progression and indicating good prognosis of osteosarcoma.BMC musculoskeletal disorders · 2024Article
- The role of NOP58 in prostate cancer progression through SUMOylation regulation and drug response.Frontiers in pharmacology · 2024Article
- Signal Pathways and microRNAs in Osteosarcoma Growth and the Dual Role of Mesenchymal Stem Cells in Oncogenesis.International journal of molecular sciences · 2023Review
- An Intelligent Auxiliary Framework for Bone Malignant Tumor Lesion Segmentation in Medical Image Analysis.Diagnostics (Basel, Switzerland) · 2023Article
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8 authors.
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Abstract
purposeOsteosarcoma (OS) is the most primary bone malignant tumor in adolescents. Although the treatment of OS has made great progress, patients' prognosis remains poor due to tumor invasion and metastasis. MATERIALS AND
methodsWe downloaded the expression profile GSE12865 from the Gene Expression Omnibus database. We screened differential expressed genes (DEGs) by making use of the R limma software package. Based on Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, and Gene Set Enrichment Analysis, we performed the function and pathway enrichment analyses. Then, we constructed a Protein-Protein Interaction network and screened hub genes through the Search Tool for the Retrieval of Interacting Genes.
resultBy analyzing the gene expression profile GSE12865, we obtained 703 OS-related DEGs, which contained 166 genes upregulated and 537 genes downregulated. The DEGs were primarily abundant in ribosome, cell adhesion molecules, ubiquitin-ubiquitin ligase activity, and p53 signaling pathway. The hub genes of OS were KDR, CDH5, CD34, CDC42, RBX1, POLR2C, PPP2CA, and RPS2 through PPI network analysis. Finally, GSEA analysis showed that cell adhesion molecules, chemokine signal pathway, transendothelial migration, and focal adhesion were associated with OS.
conclusionIn this study, through analyzing microarray technology and bioinformatics analysis, the hub genes and pathways about OS are identified, and the new molecular mechanism of OS is clarified.
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