Literature DB >> 23784086

Key genes and pathways in thyroid cancer based on gene set enrichment analysis.

Wenwu He1, Bin Qi, Qiuxi Zhou, Chuansen Lu, Qi Huang, Lei Xian, Mingwu Chen.   

Abstract

The incidence of thyroid cancer and its associated morbidity has shown the most rapid increase among all cancers since 1982, but the mechanisms involved in thyroid cancer, particularly significant key genes induced in thyroid cancer, remain undefined. In many studies, gene probes have been used to search for key genes involved in causing and facilitating thyroid cancer. As a result, many possible virulence genes and pathways have been identified. However, these studies lack a case contrast for selecting the most possible virulence genes and pathways, as well as conclusive results with which to clarify the mechanisms of cancer development. In the present study, we used gene set enrichment and meta-analysis to select key genes and pathways. Based on gene set enrichment, we identified 5 downregulated and 4 upregulated mixed pathways in 6 tissue datasets. Based on the meta-analysis, there were 17 common pathways in the tissue datasets. One pathway, the p53 signaling pathway, which includes 13 genes, was identified by both the gene set enrichment analysis and meta-analysis. Genes are important elements that form key pathways. These pathways can induce the development of thyroid cancer later in life. The key pathways and genes identified in the present study can be used in the next stage of research, which will involve gene elimination and other methods of experimentation.

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Year:  2013        PMID: 23784086     DOI: 10.3892/or.2013.2557

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  7 in total

1.  Key genes and pathways predicted in papillary thyroid carcinoma based on bioinformatics analysis.

Authors:  J Yu; W Mai; Y Cui; L Kong
Journal:  J Endocrinol Invest       Date:  2016-06-01       Impact factor: 4.256

2.  Bioinformatics analysis of key genes and latent pathway interactions based on the anaplastic thyroid carcinoma gene expression profile.

Authors:  Yun Huang; Yiming Tao; Xinying Li; Shi Chang; Bo Jiang; Feng Li; Zhi-Ming Wang
Journal:  Oncol Lett       Date:  2016-11-30       Impact factor: 2.967

3.  Integrated analysis of long noncoding RNA interactions reveals the potential role in progression of human papillary thyroid cancer.

Authors:  Xin You; Yixin Zhao; Jing Sui; Xianbiao Shi; Yulu Sun; Jiahan Xu; Geyu Liang; Qingxiang Xu; Yongzhong Yao
Journal:  Cancer Med       Date:  2018-10-14       Impact factor: 4.452

4.  Gene set enrichment analysis and meta-analysis identified 12 key genes regulating and controlling the prognosis of lung adenocarcinoma.

Authors:  Wenwu He; Liangmin Fu; Qunlun Yan; Qiuxi Zhou; Kun Yuan; Linxin Chen; Yongtao Han
Journal:  Oncol Lett       Date:  2019-04-09       Impact factor: 2.967

5.  Favorable function of Ectonucleoside triphosphate diphosphohydrolase 1 high expression in thyroid carcinoma.

Authors:  Jun-Hua Luo; Yun-Hua Zhu; Cheng Xiang
Journal:  Hereditas       Date:  2021-08-31       Impact factor: 3.271

6.  Global Hotspots and Prospects of I-131 Therapy in Thyroid Carcinoma via Bibliometric Analysis.

Authors:  Shang Lin; Ya-Ru Wei; Hong-Xiang Yao
Journal:  Int J Gen Med       Date:  2021-12-14

7.  Network Analyses of Integrated Differentially Expressed Genes in Papillary Thyroid Carcinoma to Identify Characteristic Genes.

Authors:  Junliang Shang; Qian Ding; Shasha Yuan; Jin-Xing Liu; Feng Li; Honghai Zhang
Journal:  Genes (Basel)       Date:  2019-01-14       Impact factor: 4.096

  7 in total

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