Open Access<p>Identification and Validation of Novel Genes in Anaplastic Thyroid Carcinoma via Bioinformatics Analysis</p>
Author(s) -
Shengnan Wang,
Jing Wu,
Congcong Guo,
Hongxia Shang,
Jinming Yao,
Lin Liao,
Jianjun Dong
Publication year - 2020
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 40
ISSN - 1179-1322
DOI - 10.2147/cmar.s250792
Subject(s) - microarray , microarray analysis techniques , anaplastic thyroid cancer , gene , oncology , bioinformatics , medicine , computational biology , biology , database , gene expression , thyroid , thyroid cancer , computer science , genetics
The conventional interventions of anaplastic thyroid carcinoma (ATC) patients are mainly through surgery, chemotherapy, and radiotherapy; however, it is hardly to improve survival rate. We aimed to investigate the differential expressed genes (DEGs) between ATC and normal thyroid gland through bioinformatics analysis of the microarray datasets and find new potential therapeutic targets for ATC.