Background: In the past decades, the incidence of thyroid cancer (TC) has been gradually increasing, owing to
the widespread use of ultrasound scanning devices. However, the key mRNAs, miRNAs, and mRNA-miRNA network in
papillary thyroid carcinoma (PTC) has not been fully understood.
Material and Methods: In this study, multiple bioinformatics methods were employed, including differential expression
analysis, gene set enrichment analysis, and miRNA-mRNA interaction network construction.
Results: First, we investigated the key miRNAs that regulated significantly more differentially expressed genes based on
GSEA method. Second, we searched for the key miRNAs based on the mRNA-miRNA interaction subnetwork involved
in PTC. We identified hsa-mir-1275, hsa-mir-1291, hsa-mir-206 and hsa-mir-375 as the key miRNAs involved in PTC
Conclusion: The integrated analysis of the gene and miRNA expression data not only identified key mRNAs, miRNAs,
and mRNA-miRNA network involved in papillary thyroid carcinoma, but also improved our understanding of the
pathogenesis of PTC.