1st International and 10th National Iranian Conference on Bioinformatics
Home Accepted Papers
Integrated Bioinformatics Analysis of Hub Genes and Pathways in Thyroid Cancer
Paper ID : 1042-ICB10
Authors:
Ziba Rezvani Sichani1, Adel Rezvani Sichani2, Soudabeh Madhkhan Esfahani3, Mohammad Rezaei1, Mansoureh Azadeh *1
1Zist Fanavari Novin biotechnology institute
2Zist Fanavari Novin Biotechnology Institute,Isfahan,Iran
3Zist Fanavari Novin Biotechnology institute
Abstract:
Thyroid cancer (TC) is the sixth most common type of cancer among women worldwide.The aim ofthe present study was to identify hub genes and pathways in Thyroid cancer by microarray expression profiling Furthermore,a protein-protein interaction(PPI) network was constructed, and 8 hub genes were identified based on this network.Microarray data selected for bioinformatic analysis is Gene Expression data stored with GSE35570, GSE3678, GSE33630 code in the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database. Thyroid cancer and healthy control groups were compared,That including 100 thyroid tumors and 74 normal tissues to obtain the intersection of differentially expressed genes, and a protein-protein interaction network was constructed to obtain the HUB gene and analyzed by Search Tool for the Retrieval of Interacting Genes online tool and R software Based on the whole network, we identified 8 hub genes that included CCNA2,FEN1,CCNB1,CDK1,RRM2,CDC45,CHRDL1,UBE2C. which were highly expressed in TC tissues. Bioanformatic data suggested that the expression levels of CDK1, UBE2C and CCNA2 genes were also upregulated in other histological subtypes of thyroid carcinoma. High expression of FEN1,CDC45,CCNB1,CHRDL1 and RRM2 gene significantly decreased disease-free survival of patients with other thyroid carcinomas ,and Enrichment analysis showed that these hub genes were primarily accumulated in ‘cell cycle’ and ‘p53 signaling pathway’, ‘viral carcinogenesis’These findings suggest that may several hub genes( CCNA2, FEN1,CCNB1,CDK1,RRM2,CDC45,CHRDL1,UBE2C) and pathways, which will contribute to elucidating the pathogenesis of TC and providing therapeutic targets for TC.
Keywords:
Thyroid cancer, Hub Genes, Bioinformatics analysis
Status : Paper Accepted (Poster Presentation)