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Updated: Dec 27, 2025
Spontaneous Murine Model of Anaplastic Thyroid Cancer
Published on: February 3, 2023
Identification of key candidate genes and pathways in anaplastic thyroid cancer by bioinformatics analysis
Yong-Gang Ding1, Yu-Lin Ren2, Yang-Shan Xu3
1Emergency Department, Lanzhou University Second Hospital, Lanzhou 730030, Gansu, PR China.
Background:
Anaplastic thyroid carcinoma (ATC) is a refractory and poor prognosis tumor Present study aimed to investigate the underlying biological functions and pathways involved in the development of ATC and to identify potential hub genes and candidate biomarkers of ATC.
Materials And Methods:
Bioinformatics analyses were performed to identify the differentially expressed genes (DEGs) between ATC tissue samples and adjacent normal tissue samples. Protein-protein interaction (PPI) networks of the DEGs were constructed using Search Tool for the Retrieval of Interacting Genes online tool and Cytoscape software and divided into sub-networks using the Molecular Complex Detection (MCODE) plug-in. DEGs in each module was analyzed by enrichment analysis of the KEGG Orthology Based Annotation System (KOBAS) web software version 3.0. Eventually, the hub genes from bioinformatics analysis were verified by qRT-PCR assay in different ATC cell lines.
Results:
Thirty hub genes were selected and three modules were built by the Cytoscape software from the PPI network. Seven genes (CDK1, CCNB2, BUB1B, CDC20, RRM2, CHEK1 and CDC45) were screened from thirty hub genes. Enrichment analysis showed that these hub genes were primarily accumulated in 'cell cycle', 'p53 signaling pathway', 'viral carcinogenesis', 'pyrimidine metabolism' and 'ubiquitin mediated proteolysis'. The results of qRT-PCR indicated that seven hub genes were unregulated in three ATC cell lines compared with normal thyroid gland cell.
Conclusions:
These findings suggest that CDK1, CCNB2, BUB1B, CDC20, RRM2, CHEK1 and CDC45 may serve as novel diagnosis biomarkers and potential therapeutic target for ATC.
Insights
Anaplastic thyroid carcinoma (ATC) is a difficult cancer. Researchers identified seven key genes (CDK1, CCNB2, BUB1B, CDC20, RRM2, CHEK1, CDC45) involved in ATC development, suggesting they could be new biomarkers and treatment targets.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Anaplastic thyroid carcinoma (ATC) is an aggressive cancer with a poor prognosis.
- Understanding the molecular mechanisms driving ATC is crucial for developing effective treatments.
Purpose of the Study:
- To investigate the biological functions and pathways in ATC development.
- To identify potential hub genes and diagnostic biomarkers for ATC.
Main Methods:
- Bioinformatics analysis of differentially expressed genes (DEGs) in ATC tissues.
- Construction and module analysis of protein-protein interaction (PPI) networks.
- Gene enrichment analysis and qRT-PCR validation of candidate genes.
Main Results:
- Seven key genes (CDK1, CCNB2, BUB1B, CDC20, RRM2, CHEK1, CDC45) were identified as hub genes.
- These genes are significantly enriched in pathways like 'cell cycle' and 'p53 signaling pathway'.
- qRT-PCR confirmed the upregulation of these seven genes in ATC cell lines.
Conclusions:
- The identified hub genes show potential as novel diagnostic biomarkers for ATC.
- These genes represent promising therapeutic targets for anaplastic thyroid carcinoma.
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