Literature DB >> 28984479

Comprehensive characterization of differentially expressed genes in thyroid cancer.

Jian Wang1, Shumei Chi2, Zhongke Huang1, Xiaojuan Ye1, Guohua Shi1, Dongfang Chen1, Cen Lou1.   

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].

Entities:  

Keywords:  GO ontology; KEGG pathways; differentially expressed genes; protein–protein interaction network; thyroid cancer

Mesh:

Year:  2017        PMID: 28984479     DOI: 10.2217/fon-2017-0168

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


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  4 in total

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