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Updated: May 13, 2026

Spontaneous Murine Model of Anaplastic Thyroid Cancer
Published on: February 3, 2023
Candidate agents for papillary thyroid cancer identified by gene expression analysis
1Department of General Surgery, Zhongshan Hospital Affiliated to Fudan University, No.180 Fenglin Road, Xuhui District, Shanghai 200032, China.
Abstract:
A better understanding of the molecular mechanisms involved in papillary thyroid cancer (PTC) is needed to manage these patients effectively. Our objectives were to expand our understanding of this disease, and to identify biologically active small molecules capable to reverse PTC. We downloaded gene expression data of PTC from Gene Expression Omnibus database and employed computational bioinformatics analysis to compare gene expression patterns with normal tissues. Small molecules that induced inverse gene changes to the PTC were identified. A total of 2,154 differentially expressed genes (DEGs) with a false discovery rate of 0.01 were identified. These 2,154 DEGs were significantly enriched in 17 pathways, including pathways associated with signal transduction, tumorigenesis and lipid or amino acid metabolism. In addition, we identified large amount of small molecules that capable to reverse PTC. We found a group of small molecules that can provide new ideas for the therapeutic studies in PTC. These drugs are clearly a direction that warrants additional consideration.
Insights
This study identifies molecular targets and small molecules to reverse papillary thyroid cancer (PTC) by analyzing gene expression data. These findings offer new therapeutic strategies for PTC treatment.
Area of Science:
- Oncology
- Bioinformatics
- Molecular Biology
Background:
- Effective management of papillary thyroid cancer (PTC) requires a deeper understanding of its molecular mechanisms.
- Current therapeutic strategies for PTC necessitate the identification of novel molecular targets and treatment approaches.
Purpose of the Study:
- To elucidate the molecular mechanisms underlying papillary thyroid cancer (PTC).
- To identify biologically active small molecules capable of reversing PTC-associated gene expression patterns.
- To discover potential therapeutic agents for PTC.
Main Methods:
- Downloaded and analyzed gene expression data for papillary thyroid cancer (PTC) from the Gene Expression Omnibus (GEO) database.
- Employed computational bioinformatics to compare gene expression profiles between PTC and normal tissues.
- Identified differentially expressed genes (DEGs) and enriched pathways.
- Screened for small molecules that could induce inverse gene expression changes compared to PTC.
Main Results:
- Identified 2,154 differentially expressed genes (DEGs) in PTC compared to normal tissues (FDR < 0.01).
- DEGs were significantly enriched in 17 pathways, including signal transduction, tumorigenesis, and metabolism.
- Discovered numerous small molecules with the potential to reverse PTC-associated molecular alterations.
Conclusions:
- The study provides a comprehensive molecular landscape of PTC, highlighting key pathways involved in its development.
- Identified small molecules represent promising candidates for further investigation as novel therapeutic agents for papillary thyroid cancer.
- These findings offer new directions for drug discovery and therapeutic development in PTC management.
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