ArticlePeerJ2021
Identification of potential gene signatures associated with osteosarcoma by integrated bioinformatics analysis.
Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 28 citations in OpenAlex.
- Potential prognostic and predictive biomarkers: METTL5, METTL7A, and METTL7B expression in gastrointestinal cancers.Molecular biology reports · 2025Article
- Review
- Distinct Gene Expression and Immune Features Between Different Neutrophil Extracellular Trap-Related Osteosarcoma Subtypes.Applied biochemistry and biotechnology · 2025Article
- Cytochrome P450 F3 promotes colorectal cancer via inhibiting NRF2-mediated ferroptosis.Translational oncology · 2024Article
- Article
- Exploring the Role of Neutrophil-Related Genes in Osteosarcoma via an Integrative Analysis of Single-Cell and Bulk Transcriptome.Biomedicines · 2024Article
- Osteosarcoma neutrophil extracellular trap network-associated gene recurrence and metastasis model.Journal of cancer research and clinical oncology · 2024Article
- Comparative Shotgun Proteomics Reveals the Characteristic Protein Signature of Osteosarcoma Subtypes.Cells · 2023Article
- miR-137-LAPTM4B regulates cytoskeleton organization and cancer metastasis via the RhoA-LIMK-Cofilin pathway in osteosarcoma.Oncogenesis · 2023Article
- Evidence Based on an Integrative Analysis of Multi-Omics Data on METTL7A as a Molecular Marker in Pan-Cancer.Biomolecules · 2023Article
- Article
- Identification of differentially expressed genes and pathways in BEAS-2B cells upon long-term exposure to particulate matter (PMEnvironmental health and preventive medicine · 2023Article
- Analysis of immune related gene expression profiles and immune cell components in patients with Barrett esophagus.Scientific reports · 2022Article
- The role of SPI1-TYROBP-FCER1G network in oncogenesis and prognosis of osteosarcoma, and its association with immune infiltration.BMC cancer · 2022Article
- Construction and validation of a novel gene signature for predicting the prognosis of osteosarcoma.Scientific reports · 2022Article
- Comprehensive analysis of a glycolysis and cholesterol synthesis-related genes signature for predicting prognosis and immune landscape in osteosarcoma.Frontiers in immunology · 2022Article
- Article
- Identification of Survival-Related Genes in Acute Myeloid Leukemia (AML) Based on Cytogenetically Normal AML Samples Using Weighted Gene Coexpression Network Analysis.Disease markers · 2022Article
- miR-6807-5p Inhibited the Odontogenic Differentiation of Human Dental Pulp Stem Cells Through Directly Targeting METTL7A.Frontiers in cell and developmental biology · 2021Article
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOsteosarcoma (OS) is the most primary malignant bone cancer in children and adolescents with a high mortality rate. This work aims to screen novel potential gene signatures associated with OS by integrated microarray analysis of the Gene Expression Omnibus (GEO) database. MATERIAL AND
methodsThe OS microarray datasets were searched and downloaded from GEO database to identify differentially expressed genes (DEGs) between OS and normal samples. Afterwards, the functional enrichment analysis, protein-protein interaction (PPI) network analysis and transcription factor (TF)-target gene regulatory network were applied to uncover the biological function of DEGs. Finally, two published OS datasets (GSE39262 and GSE126209) were obtained from GEO database for evaluating the expression level and diagnostic values of key genes.
resultsIn total 1,059 DEGs (569 up-regulated DEGs and 490 down-regulated DEGs) between OS and normal samples were screened. Functional analysis showed that these DEGs were markedly enriched in 214 GO terms and 54 KEGG pathways such as pathways in cancer. Five genes (CAMP, METTL7A, TCN1, LTF and CXCL12) acted as hub genes in PPI network. Besides, METTL7A, CYP4F3, TCN1, LTF and NETO2 were key genes in TF-gene network. Moreover, Pax-6 regulated four key genes (TCN1, CYP4F3, NETO2 and CXCL12). The expression levels of four genes (METTL7A, TCN1, CXCL12 and NETO2) in GSE39262 set were consistent with our integration analysis. The expression levels of two genes (CXCL12 and NETO2) in GSE126209 set were consistent with our integration analysis. ROC analysis of GSE39262 set revealed that CYP4F3, CXCL12, METTL7A, TCN1 and NETO2 had good diagnostic values for OS patients. ROC analysis of GSE126209 set revealed that CXCL12, METTL7A, TCN1 and NETO2 had good diagnostic values for OS patients.
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