KCNQ۱OT۱/hsa-miR-۱۸۱b-۵p/ PODN CeRNA axis: a novel biomarker for early diagnosis of thyroid cancer

Introduction and objective: Thyroid cancer (TC), an endocrine malignancy, is one of the most common types of cancer worldwide, affecting people of all ages and races. Cancer biomarkers, a non-invasive method in the early detection of cancers, have created a good perspective to prevent many complications of this disease. Competing endogenous RNAs (CeRNAs), such as pseudogenes (Ψ-gene) and long non-coding RNAs (lncRNAs) have been identified as key factors in various cancers. It seems the employment of ceRNAs as early diagnostic biomarkers can help to reduce thyroid cancer complications. Therefore, in this study, we aim to find novel biomarkers for thyroid cancer diagnosis.Methods: We found the mutated genes in thyroid cancer in the COSMIC database and selected the PODN gene as a possible biomarker for this cancer using the GEPIA۲ database (Log۲FC<-۴, p-value <۰.۰۵). Using the Venny ۲.۱ tool, we got the intersection between the up-regulated miRNAs in TC from the CancerMIRnome database (Log۲FC>+۱, adjusted p-value<۰.۰۵), and the PODN targeting miRNAs from the starBase v۲.۰ database, as well as the intersection between the miRNAs corresponding lncRNAs from the starBase v۲.۰ database and the down-regulated TC lncRNAs from the Lnc۲cancer database. Then, we used the Cytoscape software version ۳.۹.۱ to visualize the lncRNA-miRNA-mRNA network and determine the hub lncRNAs and miRNAs that have key roles in regulating the PODN gene.Results: We determined that hsa-miR-۱۸۱b-۵p, PODN, and KCNQ۱OT۱ genes have the highest scores in the maximal clique centrality (MCC) ranking method, respectively.Conclusion: We suggest that hsa-miR-۱۸۱b-۵p, PODN, and KCNQ۱OT۱ CeRNA network can be used as an early diagnostic biomarker for thyroid cancer.

کلیدواژه ها:

Thyroid Cancer ، CeRNA ، PODN ، Biomarker