Integrated Bioinformatics Analysis of Hub Genes and Pathways in Anaplastic Thyroid Carcinomas

Area of Science:

• Oncology
• Genetics
• Molecular Biology

Background:

• Anaplastic thyroid carcinoma (ATC) is a rare and aggressive thyroid malignancy with poorly understood pathogenesis.
• Identifying specific molecular markers and pathways is crucial for understanding ATC development and finding new treatments.

Purpose of the Study:

• To identify key genes (hub genes) and signaling pathways involved in the pathogenesis of anaplastic thyroid carcinoma (ATC).
• To explore the potential of these identified genes as therapeutic targets for ATC.

Main Methods:

• Utilized microarray expression profiling from two independent datasets (GSE27155 and GSE53072) from the GEO database.
• Applied the limma package to identify differentially expressed genes (DEGs) between ATC and normal thyroid tissues.
• Performed Gene Ontology (GO) and KEGG pathway analysis for enrichment, and protein-protein interaction (PPI) analysis to identify hub genes.

Main Results:

• Identified 141 common upregulated and 87 common downregulated genes in ATC tissues compared to normal tissues.
• Enriched pathways included phagosome and NF-kappa B signaling.
• Selected hub genes (TOP2A, TYMS, CCNB1, RACGAP1, FEN1, PRC1, UBE2C) showed high expression in ATC and were linked to decreased disease-free survival in other thyroid cancer subtypes.

Conclusions:

• The study successfully identified significant hub genes and enriched pathways crucial for understanding ATC pathogenesis.
• The identified genes, particularly TOP2A, TYMS, FEN1, PRC1, and UBE2C, represent potential therapeutic targets for anaplastic thyroid carcinoma.