ArticleOncoTargets and therapy2016
Network analysis reveals potential markers for pediatric adrenocortical carcinoma.
Article in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 41 citations in OpenAlex.
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- In silico Identification of Hypoxic Signature followed by reverse transcription-quantitative PCR Validation in Cancer Cell LinesIranian biomedical journal · 2023Article
- CDK1 serves as a therapeutic target of adrenocortical carcinoma via regulating epithelial-mesenchymal transition, G2/M phase transition, and PANoptosis.Journal of translational medicine · 2022Article
- Comprehensive Analysis of Age-related Changes in Lipid Metabolism and Myelin Sheath Formation in Sciatic Nerves.Journal of molecular neuroscience : MN · 2021Article
- Huanglianjiedu Decoction as an effective treatment for oral squamous cell carcinoma based on network pharmacology and experimental validation.Cancer cell international · 2021Article
- Review
- Proteomic Profiling of BRAFV600E Mutant Colon Cancer Cells Reveals the Involvement of Nucleophosmin/c-Myc Axis in Modulating the Response and Resistance to BRAF Inhibition by Vemurafenib.International journal of molecular sciences · 2021Article
- Overexpression of SKA Complex Is Associated With Poor Prognosis in Gliomas.Frontiers in neurology · 2021Article
- Prediction of the Mechanisms by Which Quercetin Enhances Cisplatin Action in Cervical Cancer: A Network Pharmacology Study and Experimental Validation.Frontiers in oncology · 2021Article
- The Oncogenic Role of APC/C Activator Protein Cdc20 by an Integrated Pan-Cancer Analysis in Human Tumors.Frontiers in oncology · 2021Article
- Implementation of homology based and non-homology based computational methods for the identification and annotation of orphan enzymes: using Mycobacterium tuberculosis H37Rv as a case study.BMC bioinformatics · 2020Article
- Screening and identification of key biomarkers in adrenocortical carcinoma based on bioinformatics analysis.Oncology letters · 2019Article
- Co-expression Network Analysis of Biomarkers for Adrenocortical Carcinoma.Frontiers in genetics · 2018Article
- Identifying pathway modules of tuberculosis in children by analyzing multiple different networks.Experimental and therapeutic medicine · 2018Article
- Effects of Sepantronium Bromide (YM-155) on the Whole Transcriptome of MDA-MB-231 Cells: Highlight on Impaired ATR/ATM Fanconi Anemia DNA Damage Response.Cancer genomics & proteomicsArticle
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pediatric adrenocortical carcinoma (ACC) is a rare malignancy with a poor outcome. Molecular mechanisms of pediatric ACC oncogenesis and advancement are not well understood. Accurate and timely diagnosis of the disease requires identification of new markers for pediatric ACC. Differentially expressed genes (DEGs) were identified from the gene expression profile of pediatric ACC and obtained from Gene Expression Omnibus. Gene Ontology functional and pathway enrichment analysis was implemented to recognize the functions of DEGs. A protein-protein interaction (PPI) and gene-gene functional interaction (GGI) network of DEGs was constructed. Hub gene detection and enrichment analysis of functional modules were performed. Furthermore, a gene regulatory network incorporating DEGs-microRNAs-transcription factors was constructed and analyzed. A total of 431 DEGs including 228 upregulated and 203 downregulated DEGs were screened. These genes were largely involved in cell cycle, steroid biosynthesis, and p53 signaling pathways. Upregulated genes, CDK1, CCNB1, CDC20, and BUB1B, were identified as the common hubs of PPI and GGI networks. All the four common hub genes were also part of modules of the PPI network. Moreover, all the four genes were also present in the largest module of GGI network. A gene regulatory network consisting of 82 microRNAs and 100 transcription factors was also constructed. CDK1, CCNB1, CDC20, and BUB1B may serve as potential biomarker of pediatric ACC and as potential targets for therapeutic approach, although experimental studies are required to authenticate our findings.
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