Abstract
BackgroundThe morbidity of thyroid carcinoma has been rising worldwide and increasing faster than any other cancer type. The most common subtype with the best prognosis is papillary thyroid cancer (PTC); however, the exact molecular pathogenesis of PTC is still not completely understood.MethodsIn the current study, 3 gene expression datasets (GSE3678, GSE3467, and GSE33630) and 2 miRNA expression datasets (GSE113629 and GSE73182) of PTC were selected from the Gene Expression Omnibus (GEO) database and were further used to identify differentially expressed genes (DEGs) and deregulated miRNAs between normal thyroid tissue samples and PTC samples. Then, Gene Ontology (GO) and pathway enrichment analyses were conducted, and a protein-protein interaction (PPI) network was constructed to explore the potential mechanism of PTC carcinogenesis. The hub gene detection was performed using the CentiScaPe v2.0 plugin, and significant modules were discovered using the MCODE plugin for Cytoscape. In addition, a miRNA-gene regulatory network in PTC was constructed using common deregulated miRNAs and DEGs.ResultsA total of 263 common DEGs and 12 common deregulated miRNAs were identified. Then, 6 significant KEGG pathways (P < 0.05) and 82 significant GO terms were found to be enriched, indicating that PTC was closely related to amino acid metabolism, development, immune system, and endocrine system. In addition, by constructing a PPI network and miRNA-gene regulatory network, we found that hsa-miR-181a-5p regulated the most DEGs, while BCL2 was targeted by the most miRNAs.ConclusionsThe results of this study suggested that hsa-miR-181a-5p and BCL2 and their regulatory networks may play important roles in the pathogenesis of PTC.
Highlights
The morbidity of thyroid carcinoma has been rising worldwide and increasing faster than any other cancer type
A miRNA-gene regulatory network of papillary thyroid cancer (PTC) was constructed using common deregulated miRNAs and differentially expressed genes (DEGs), and we found that hsamiR-181a-5p regulated the most DEGs, while BCL2 was targeted by the most miRNAs in this network
Identification of DEGs and deregulated miRNAs in PTC The gene expression datasets GSE3678, GSE3467, and GSE33630 were acquired from the Gene Expression Omnibus (GEO) database
Summary
The morbidity of thyroid carcinoma has been rising worldwide and increasing faster than any other cancer type. The morbidity of thyroid carcinoma has been rising worldwide and increasing faster than any other type of cancer, mainly due to the increasing use of diagnostic equipment [1]. Increased expression of flavin-containing monooxygenase 1 (encoded by the FMO1 gene) could serve as a biomarker that independently predicts favorable recurrence-free survival in classical PTC patients [9]. These observations suggest that an increasing number of genes are crucial for the pathogenesis of PTC
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