Objective: To analyze prognostic genes of papillary thyroid carcinoma with bioinformatics and to provide theoretical basis for subsequent experiments, so to further study the possible mechanism of papillary thyroid carcinoma. Methods: RNA sequencing data on papillary thyroid carcinoma and para-carcinoma tissue samples were downloaded from The Cancer Genome Atlas (TCGA) database with the bioinformatics method, and differential genes were obtained by differential analysis. Biological function and pathway enrichment analysis on different genes were analyzed using Gene Ontology (GO) database and the Kyoto Encyclopedia of Genes (KEGG) database. Key genes were screened by protein-protein interaction (PPI). The influence of key genes on survival and prognosis of patients with papillary thyroid carcinoma was studied with survival analysis. Results: A total of 237 cases of papillary thyroid carcinoma was screened from TCGA database, including 212 cases of papillary thyroid carcinoma tissue and 25 cases of para-thyroid carcinoma tissue. A total of 715 differential genes were screened by differential gene analysis. Pathway enrichment analysis showed that signal transduction activity and retrograde endocannabinoid signaling were the main pathways. A total of 18 key genes were screened with PPI method, including 9 up-regulated genes and 9 down-regulated genes. Survival analysis showed that patients with high expression of OPRK1 had a poor prognosis. Conclusion: The expression level of OPRK1 is significantly correlated with the survival time of patients. However, the specific mechanism needs to be further studied.
MA Chuanghai
,
CHEN Guo
,
LIAO Peifen
. Bioinformatic screening of papillary thyroid carcinoma related prognostic genes[J]. Journal of Baotou Medical College, 2023
, 39(1)
: 23
-27
.
DOI: 10.16833/j.cnki.jbmc.2023.01.006
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