ArticleMolecular medicine reports2019
Identification of critical genes associated with human osteosarcoma metastasis based on integrated gene expression profiling.
Article in Molecular medicine reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 45 citations in OpenAlex.
- [Glutamine metabolic reprogramming in regulating the occurrence and development of osteosarcoma].Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025Review
- ROLE OF POLYMORPHISMS IN VEGF AND KDR GENES IN OSTEOSARCOMA SUSCEPTIBILITY: A SYSTEMATIC REVIEW.Acta ortopedica brasileira · 2025Review
- Article
- Single-Cell RNA Sequencing Reveals the Critical Role of SEC16B in Lung Metastasis of Osteosarcoma.FASEB bioAdvances · 2025Article
- The Impact of Developmental and Metabolic Cues on Cytoophidium Formation.International journal of molecular sciences · 2024Review
- Identification of allograft inflammatory factor-1 suppressing the progression and indicating good prognosis of osteosarcoma.BMC musculoskeletal disorders · 2024Article
- Article
- CTP synthase 2 predicts inferior survival and mediates DNA damage response via interacting with BRCA1 in chronic lymphocytic leukemia.Experimental hematology & oncology · 2023Article
- Editorial: Canine osteosarcoma as a model in comparative oncology: Advances and perspective.Frontiers in veterinary science · 2023Article
- Article
- A novel 14-gene signature for overall survival in lung adenocarcinoma based on the Bayesian hierarchical Cox proportional hazards model.Scientific reports · 2022Article
- Identification of Key Genes and Pathways in Osteosarcoma by Bioinformatics Analysis.Computational and mathematical methods in medicine · 2022Article
- Comprehensive Analysis of Potential Correlation Between Solute Carrier 1A (SLC1A) Family and Lung Adenocarcinoma.International journal of general medicine · 2022Article
- Immunohistochemical Characterisation of GLUT1, MMP3 and NRF2 in Osteosarcoma.Frontiers in veterinary science · 2021Article
- Identification of Gene as Predictive Biomarkers for the Occurrence and Recurrence of Osteosarcoma.International journal of general medicine · 2021Article
- circKMT2D contributes to HExperimental and therapeutic medicine · 2020Article
- Long non‑coding RNA NR2F1‑AS1 facilitates the osteosarcoma cell malignant phenotype via the miR‑485‑5p/miR‑218‑5p/BIRC5 axis.Oncology reports · 2020Article
- Increased DEF6 expression is correlated with metastasis and poor prognosis in human osteosarcoma.Oncology letters · 2020Article
- Identification of hub methylated-CpG sites and associated genes in oral squamous cell carcinoma.Cancer medicine · 2020Article
- LncRNA SPRY4‑IT1 promotes progression of osteosarcoma by regulating ZEB1 and ZEB2 expression through sponging of miR‑101 activity.International journal of oncology · 2020Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Osteosarcoma is the most common type of malignant bone cancer, which often affects teenagers and young adults. The present study aimed to screen for critical genes and microRNAs (miRNAs/miRs) involved in osteosarcoma. A total of four microarray datasets (accession numbers GSE32981, GSE21257, GSE14827 and GSE14359) were downloaded from the Gene Expression Omnibus database. Following data preprocessing, module analysis was performed to identify the stable modules using the weighted gene co‑expression network analysis (WGCNA) package. The differentially expressed genes (DEGs) between metastatic samples and non‑metastatic samples were screened, followed by gene co‑expression network construction, and Gene Ontology function and Kyoto Encyclopedia of Genes and Genomes pathway analyses. Subsequently, prognosis‑associated genes were screened and a miRNA‑target gene regulatory network was constructed. Finally, the data for critical genes were validated. WGCNA analysis identified six modules; blue and yellow modules were significantly positively associated with osteosarcoma metastasis. A total of 1,613 DEGs were screened between primary tissue samples and metastatic samples. Following comparison of the genes in the two (blue and yellow) modules, a total of 166 DEGs were identified (metastatic samples vs. non‑metastatic samples). Functional enrichment analysis demonstrated that these DEGs were mainly involved in 'defense response', 'p53 signaling pathway' and 'lysosome'. By utilizing the clinical information in GSE21257, 10 critical genes associated with osteosarcoma prognosis were obtained, including CTP synthase 2 (CTPS2), tumor protein p53 inducible protein 3 (TP53I3) and solute carrier family 1 member 1 (SLC1A1). In addition, hsa‑miR‑422a and hsa‑miR‑194 were highlighted in the miRNA‑target gene network. Finally, matrix metallopeptidase 3 (MMP3) and vascular endothelial growth factor B (VEGFB) were predicted as critical genes in osteosarcoma metastasis. CTPS2, TP53I3 and SLC1A1 may serve major roles in osteosarcoma development, and hsa‑miR‑422a, hsa‑miR‑194, MMP3 and VEGFB may be associated with osteosarcoma metastasis.
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