Transcriptomic analyses identify key differentially expressed genes and clinical outcomes between triple-negative and non-triple-negative breast cancer

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成果类型：

期刊论文

作者：

Chen, Bo;Tang, Hailin;Chen, Xi;Zhang, Guochun;Wang, Yulei;...

通讯作者：

Liao, Ning;Xie, Xiaoming

作者机构：

[Liao, Ning; Zhang, Guochun; Wang, Yulei; Chen, Bo] Guangdong Gen Hosp, Dept Breast Canc, Canc Ctr, 106 Zhongshan 2 Rd, Guangzhou 510080, Guangdong, Peoples R China.

[Liao, Ning; Zhang, Guochun; Wang, Yulei; Chen, Bo] Guangdong Acad Med Sci, 106 Zhongshan 2 Rd, Guangzhou 510080, Guangdong, Peoples R China.

[Tang, Hailin; Xie, Xiaoming] Sun Yat Sen Univ, Dept Breast Oncol, State Key Lab Oncol South China, Collaborat Innovat Ctr Canc Med,Canc Ctr, 651 East Dongfeng Rd, Guangzhou 510060, Guangdong, Peoples R China.

[Chen, Xi] Univ South China, Hengyang Med Coll, Dept Anat, Hengyang, Peoples R China.

通讯机构：

[Liao, Ning] G

[Xie, Xiaoming] S

Guangdong Gen Hosp, Dept Breast Canc, Canc Ctr, 106 Zhongshan 2 Rd, Guangzhou 510080, Guangdong, Peoples R China.

Guangdong Acad Med Sci, 106 Zhongshan 2 Rd, Guangzhou 510080, Guangdong, Peoples R China.

Sun Yat Sen Univ, Dept Breast Oncol, State Key Lab Oncol South China, Collaborat Innovat Ctr Canc Med,Canc Ctr, 651 East Dongfeng Rd, Guangzhou 510060, Guangdong, Peoples R China.

语种：

英文

关键词：

HORMAD1;triple-negative breast cancer;non-triple-negative breast cancer;prognostic factor;transcriptome

期刊：

CANCER MANAGEMENT AND RESEARCH

ISSN：

1179-1322

年：

2019

卷：

页码：

179-190

DOI：

10.2147/CMAR.S187151

基金类别：

This work was supported by funds from the National Natural Science Foundation of China (81472575, 81672598, Xiaoming Xie; 81472469, Hailin Tang) and the Science and Technology Planning Project of Guangzhou and Guangdong (2015B090901050, 2015B020211002, Xiaoming Xie; 2014A020212079, 2016A020214009, Hailin Tang).

机构署名：

本校为其他机构

院系归属：

医学院

摘要：

Purpose: There are significant differences in the biological behavior between triple-negative breast cancer (TNBC) and non-triple-negative breast cancer (non-TNBC). In the present study, we identify key differential genes and clinical outcomes between TNBC and non-TNBC. Materials and methods: Transcriptomic analyses used GEO datasets (GSE76275), gene ontology, KEGG pathway analysis and cBioPortal. Quantitative RT-PCR analysis (qRT-PCR) was used to validate the differentially expressed genes. We used the KM Plotter Online Tool and 240 patients w...

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Transcriptomic analyses identify key differentially expressed genes and clinical outcomes between triple-negative and non-triple-negative breast cancer

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