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Comprehensive characterization of differentially expressed genes in thyroid cancer

Authors :
Cen Lou
Jian Wang
Shumei Chi
Guohua Shi
Dong-fang Chen
Xiaojuan Ye
Zhongke Huang
Source :
Future Oncology. 13:2159-2169
Publication Year :
2017
Publisher :
Future Medicine Ltd, 2017.

Abstract

Aim: To explore the patterns of gene expression and functionally characterize the differentially expressed genes (DEGs) in thyroid cancer. Methods: DEGs were determined between 57 paired thyroid cancer and noncancerous tissues using DESeq2. Subsequently, the main functions of the DEGs were studied by a variety of analyses. Results: We identified a cohort of 752 upregulated and 309 downregulated DEGs in thyroid cancer. Several hub DEGs were found in the protein–protein interaction networks. We also revealed a set of DEGs that were dysmethylated, involved in copy number variations and associated with clinical features in thyroid cancer. Conclusion: These results provide some novel findings on DEGs in thyroid cancer, which will be useful to guide further investigation and target therapy for this disease. [Formula: see text]

Details

ISSN :
17448301 and 14796694
Volume :
13
Database :
OpenAIRE
Journal :
Future Oncology
Accession number :
edsair.doi.dedup.....e4ad3208c51733c290c22114e356dbc0
Full Text :
https://doi.org/10.2217/fon-2017-0168