ArticleMedicine2018
Identifying osteosarcoma metastasis associated genes by weighted gene co-expression network analysis (WGCNA).
Article in Medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
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Who cites it
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Prognostic significance of matrix metalloproteinase 9 expression in osteosarcoma: A meta-analysis of 16 studies.Medicine · 2018Pooled it
- Identification of a metastasis-associated prognostic gene signature in osteosarcoma through integrated bioinformatics and functional analysis.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- Development and validation of an immune-related diagnostic signature for breast cancer bone metastasis.Scientific reports · 2026Article
- Article
- Review
- mir-744-5p inhibits cell growth and angiogenesis in osteosarcoma by targeting NFIX.Journal of orthopaedic surgery and research · 2024Article
- A Network Pharmacology Approach and Validation Experiments to Investigate the Mechanism of Wen-Dan Decoction in the Treatment of SINFH.Combinatorial chemistry & high throughput screening · 2024Article
- Metastasis-Related Signature for Clinically Predicting Prognosis and Tumor Immune Microenvironment of Osteosarcoma Patients.Molecular biotechnology · 2023Article
- A Novel Approach to Reducing Lung Metastasis in Osteosarcoma: Increasing Cell Stiffness with Carbenoxolone.Current issues in molecular biology · 2023Article
- Bioinformatics role of the WGCNA analysis and co-expression network identifies of prognostic marker in lung cancer.Saudi journal of biological sciences · 2022Article
- A new finding in the key prognosis-related proto-oncogene FYN in hepatocellular carcinoma based on the WGCNA hub-gene screening trategy.BMC cancer · 2022Article
- Downregulation of FXYD2 Is Associated with Poor Prognosis and Increased Regulatory T Cell Infiltration in Clear Cell Renal Cell Carcinoma.Journal of immunology research · 2022Article
- Identification of Hub Genes Associated with Nonspecific Orbital Inflammation by Weighted Gene Coexpression Network Analysis.Disease markers · 2022Article
- m6A-Related lncRNAs Predict Overall Survival of Patients and Regulate the Tumor Immune Microenvironment in Osteosarcoma.Computational intelligence and neuroscience · 2022Article
- Article
- Identifying stress responsive genes using overlapping communities in co-expression networks.BMC bioinformatics · 2021Article
- Identifying hub genes and immune infiltration of osteoarthritis using comprehensive bioinformatics analysis.Journal of orthopaedic surgery and research · 2021Article
- Molecular Biology of Osteosarcoma.Cancers · 2020Review
- Metastasis-associated gene MAPK15 promotes the migration and invasion of osteosarcoma cells via the c-Jun/MMPs pathway.Oncology letters · 2020Article
- Identifying 8-mRNAsi Based Signature for Predicting Survival in Patients With Head and Neck Squamous Cell Carcinoma via Machine Learning.Frontiers in genetics · 2020Article
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Osteosarcoma (OS), the most common malignant bone tumor, accounts for the heavy healthy threat in the period of children and adolescents. OS occurrence usually correlates with early metastasis and high death rate. This study aimed to better understand the mechanism of OS metastasis.Based on Gene Expression Omnibus (GEO) database, we downloaded 4 expression profile data sets associated with OS metastasis, and selected differential expressed genes. Weighted gene co-expression network analysis (WGCNA) approach allowed us to investigate the most OS metastasis-correlated module. Gene Ontology functional and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were used to give annotation of selected OS metastasis-associated genes.We select 897 differential expressed genes from OS metastasis and OS non-metastasis groups. Based on these selected genes, WGCNA further explored 142 genes included in the most OS metastasis-correlated module. Gene Ontology functional and KEGG pathway enrichment analyses showed that significantly OS metastasis-associated genes were involved in pathway correlated with insulin-like growth factor binding.Our research figured out several potential molecules participating in metastasis process and factors acting as biomarker. With this study, we could better explore the mechanism of OS metastasis and further discover more therapy targets.
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