ArticleOncotarget2016
Identification of differentially expressed genes in the development of osteosarcoma using RNA-seq.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 17 citations in OpenAlex.
- Immune monitoring of trabectedin therapy in refractory soft tissue sarcoma patients - the IMMUNYON study.Frontiers in immunology · 2025Article
- VPS13 and bridge-like lipid transporters, mechanisms, and mysteries.Frontiers in neuroscience · 2025Review
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- ISG15 is a potential therapeutic target for osteosarcoma: a comprehensive analysis based on bioinformatics and in vitro experiments.American journal of translational research · 2023Article
- Lnc-SELPLG-2:1 enhanced osteosarcoma oncogenesis via hsa-miR-10a-5p and the BTRC cascade.BMC cancer · 2022Article
- Avenues of research in dietary interventions to target tumor metabolism in osteosarcoma.Journal of translational medicine · 2021Review
- Protein phosphatase 2A B55β limits CD8+ T cell lifespan following cytokine withdrawal.The Journal of clinical investigation · 2020Article
- Identification of Biomarkers for Osteosarcoma Based on Integration Strategy.Medical science monitor : international medical journal of experimental and clinical research · 2020Article
- VPS13A is closely associated with mitochondria and is required for efficient lysosomal degradation.Disease models & mechanisms · 2019Article
- Biological analysis of cancer specific microRNAs on function modeling in osteosarcoma.Scientific reports · 2017Article
- Screening effective differential expression genes for hepatic carcinoma with metastasis in the peripheral blood mononuclear cells by RNA-seq.Oncotarget · 2017Article
Corrections and comments
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Authors and funding
12 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveOsteosarcoma (OS) is a malignant bone tumor with high morbidity in young adults and adolescents. This study aimed to discover potential early diagnosis biomarkers in OS.
resultsIn total, 111 differentially expressed genes (DEGs) were identified in primary OS compared with normal controls and 235 DEGs were identified in metastatic OS compared with primary OS. AURKB and PPP2R2B were the significantly up-regulated and down-regulated hub proteins, respectively, in the PPI protein-protein network (PPI) network of primary OS. ISG15 and BTRC were the significantly up-regulated and down-regulated hub proteins, respectively, in the network of metastatic OS. The DEGs in metastatic OS compared with primary OS were significantly enriched in the arachidonic acid metabolism, malaria, and chemokine signaling pathways. Finally, we employed quantitative real-time polymerase chain reaction (qRT-PCR) to validate the expression levels of candidate DEGs and the results indicated that our bioinformatics approach was acceptable. MATERIALS AND
methodsThe mRNA expression profiling of 20 subjects was obtained through high-throughput RNA-sequencing. DEGs were identified between primary OS and normal Control, and between primary OS and metastatic OS, respectively. Functional annotation and PPI networks were used to obtain insights into the functions of DEGs. qRT-PCR was performed to detect the expression levels of dysregulated genes in OS.
conclusionsOur work might provide groundwork for the further exploration of tumorigenesis and metastasis mechanisms of OS.
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