ArticleCancer management and research2020
Identification and Validation of Novel Genes in Anaplastic Thyroid Carcinoma via Bioinformatics Analysis.
Article in Cancer management and research, 2020. 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, 15 citations in OpenAlex.
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- Integrative bioinformatic analysis identifies differentially expressed gene targets as potential biomarkers for anaplastic thyroid cancer.Journal of the Egyptian National Cancer Institute · 2025Article
- Identification and validation of a novel prognostic signature and key genes related to development of anaplastic thyroid carcinoma.Discover oncology · 2024Article
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- Identification of abdominal aortic aneurysm subtypes based on mechanosensitive genes.PloS one · 2024Article
- Identification of potential biomarkers for papillary thyroid carcinoma by comprehensive bioinformatics analysis.Molecular and cellular biochemistry · 2023Article
- An Integrative Multi-Omics Analysis of The Molecular Links between Aging and Aggressiveness in Thyroid Cancers.Aging and disease · 2023Article
- Network pharmacology approach and molecular docking to explore the potential mechanism of Wu-Wei-Wen-Tong Chubi capsules in rheumatoid arthritis.Naunyn-Schmiedeberg's archives of pharmacology · 2022Article
- Expression of colorectal neoplasia differentially expressed in anaplastic thyroid carcinoma and its effect on cancer cell proliferation.Annals of translational medicine · 2022Article
- Weighted gene co-expression network reveals driver genes contributing to phenotypes of anaplastic thyroid carcinoma and immune checkpoint identification for therapeutic targets.Frontiers in oncology · 2022Article
- Identification of Human Retinal Organoid Cell Differentiation-Related Genes via Single-Cell Sequencing Data Analysis.Computational and mathematical methods in medicine · 2022Article
- MiR-16-5p suppresses breast cancer proliferation by targeting ANLN.BMC cancer · 2021Article
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe conventional interventions of anaplastic thyroid carcinoma (ATC) patients are mainly through surgery, chemotherapy, and radiotherapy; however, it is hardly to improve survival rate. We aimed to investigate the differential expressed genes (DEGs) between ATC and normal thyroid gland through bioinformatics analysis of the microarray datasets and find new potential therapeutic targets for ATC.
methodsMicroarray datasets GSE9115, GSE29265, GSE33630, GSE53072, and GSE65144 were downloaded from Gene Expression Omnibus (GEO) database. Compared with the normal tissue, GEO2R was conducted to screen the DEGs in each chip under the condition of |log FC| > l, adjusted P-values (adj. P) < 0.05. The Retrieval of Interacting Genes (STRING) database was used to calculate PPI networks of DEGs with a combined score >0.4 as the cut-off criteria. The hub genes in the PPI network were visualized and selected according to screening conditions in Cytoscape software. In addition, the novel genes in ATC were screened for survival analysis using Kaplan-Meier plotter from those hub genes and validated by RT-qPCR.
resultsA total of 284 overlapping DEGs were obtained, including 121 upregulated and 161 downregulated DEGs. A total of 232 DEGs were selected by STRING database. The 50 hub genes in the PPI network were chosen according to three screening conditions. In addition, the Kaplan-Meier plotter database confirmed that high expressions of
conclusionOur study suggested that
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