ArticleWorld journal of surgical oncology2017
Integrated network analysis to explore the key genes regulated by parathyroid hormone receptor 1 in osteosarcoma.
Article in World journal of surgical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 14 citations in OpenAlex.
- Article
- Changes in the Proteome of the Circle of Willis during Aging Reveal Signatures of Vascular Disease.Oxidative medicine and cellular longevity · 2024Article
- Integration of transcriptomic and proteomic analyses reveals several levels of metabolic regulation in the excess starch and early senescent leaf mutant lses1 in rice.BMC plant biology · 2022Article
- Genetic Exchange of Lung-Derived Exosome to Brain Causing Neuronal Changes on COVID-19 Infection.Molecular neurobiology · 2021Article
- PTHR1 in osteosarcoma: Specific molecular mechanisms and comprehensive functional perspective.Journal of cellular and molecular medicine · 2021Review
- Bioinformatics analyses and biological function of lncRNA ZFPM2-AS1 and ZFPM2 gene in hepatocellular carcinoma.Oncology letters · 2020Article
- Multifaceted Role of PRDM Proteins in Human Cancer.International journal of molecular sciences · 2020Review
- Identification of Pathogenic Genes and Transcription Factors in Osteosarcoma.Pathology oncology research : POR · 2020Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs an invasive malignant tumor, osteosarcoma (OS) has high mortality. Parathyroid hormone receptor 1 (PTHR1) contributes to maintaining proliferation and undifferentiated state of OS. This study is designed to reveal the action mechanisms of PTHR1 in OS.
methodsMicroarray dataset GSE46861, which included six PTHR1 knockdown OS samples and six control OS samples, was obtained from the Gene Expression Omnibus database. The differentially expressed genes (DEGs) were identified and then performed with enrichment analysis separately using the limma package and DAVID online tool. Then, protein-protein interaction (PPI) network and module analyses were conducted using Cytoscape software. Using the WebGestalt tool, microRNAs (miRNAs) were predicted for the DEGs involved in the PPI network. Following this, transcription factors (TFs) were predicted and an integrated network was constructed by Cytoscape software.
resultsThere were 871 DEGs in the PTHR1 knockdown OS samples compared with the control OS samples. Besides, upregulated ZFPM2 was involved in the miRNA-DEG regulatory network. Moreover, TF LEF1 was predicted for the miRNA-DEG regulatory network of the downregulated genes. In addition, LEF1, NR4A2, HAS2, and RHOC had higher degrees in the integrated network.
conclusionsZFPM2, LEF1, NR4A2, HAS2, and RHOC might be potential targets of PTHR1 in OS.
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