Comprehensive tissue-specific gene set enrichment analysis and transcription factor analysis of breast cancer by integrating 14 gene expression datasets

	Comprehensive tissue-specific gene set enrichment analysis and transcription factor analysis of breast cancer by integrating 14 gene expression datasets
	Li WX 1,2; He K 3,4; Lv WW 6; Guo YC 2; An SQ 2,5; Wu GY 3; Liu DH[]3; Huang JF[]2,5,7,8,9; Tang L 3; Dai SX 2,5
刊名	ONCOTARGET
	2016
卷号	X 期号:X 页码:XX-XX
关键词	GSEA breast cancer gene expression tissue specific transcription factors
通讯作者	seansean2014@126.com ; huangjf@mail.kiz.ac.cn
英文摘要	Breast cancer is the most commonly diagnosed malignancy in women. Several key genes and pathways have been proven to correlate with breast cancer pathology. This study sought to explore the differences in key transcription factors (TFs), transcriptional regulation networks and dysregulated pathways in different tissues in breast cancer. We employed 14 breast cancer datasets from NCBI-GEO and performed an integrated analysis in three different tissues including breast, blood and saliva. The results showed that there were eight genes (CEBPD, EGR1, EGR2, EGR3, FOS, FOSB, ID1 and NFIL3) down-regulated in breast tissue but up-regulated in blood tissue. Furthermore, we identified several unreported tissue-specific TFs that may contribute to breast cancer, including ATOH8, DMRT2, TBX15 and ZNF367. The dysregulation of these TFs damaged lipid metabolism, development, cell adhesion, proliferation, differentiation and metastasis processes. Among these pathways, the breast tissue showed the most serious impairment and the blood tissue showed a relatively moderate damage, whereas the saliva tissue was almost unaffected. This study could be helpful for future biomarker discovery, drug design, and therapeutic and predictive applications in breast cancers.
收录类别	SCI
资助信息	This work was supported by the National Basic Research Program of China (Grant No. 2013CB835100), and the National Natural Science Foundation of China (Grant No. 81570376, No. 31401142 and NO. 31401137). We also acknowledge financial support by the Scientific Research Foundation and Academic & Technology Leaders Introduction Project, and 211 Project of Anhui University (10117700023, 02303203-32030081), the Education Revitalization Project of Anhui Province (Y05201374), the Overseas Scientific Collaborative Project of Anhui Province of China (Grant No. 1503062011), and Natural Science Foundation Project of Anhui Province (1508085MH189, 1508085QC63).
语种	英语
内容类型	期刊论文
源URL	[http://159.226.149.26:8080/handle/152453/10794]
专题	昆明动物研究所_结构生物信息学昆明动物研究所_遗传资源与进化国家重点实验室
作者单位	1.Institute of Health Sciences, Anhui University, Hefei 230601, Anhui, China 2.State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, Yunnan, China 3.Center for Stem Cell and Translational Medicine, School of Life Sciences, Anhui University, Hefei 230601, Anhui, China 4.Department of Biostatistics, School of Life Sciences, Anhui University, Hefei 230601, Anhui, China 5.Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, Yunnan, China 6.Hongqiao International Institute of Medicine, Shanghai Tongren Hospital/Faculty of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China 7.KIZ-SU Joint Laboratory of Animal Models and Drug Development, College of Pharmaceutical Sciences, Soochow University, Kunming 650223, Yunnan, China 8.Collaborative Innovation Center for Natural Products and Biological Drugs of Yunnan, Kunming 650223, Yunnan, China 9.Chinese University of Hong Kong Joint Research Center for Bio-resources and Human Disease Mechanisms, Kunming 650223, Yunnan, China
推荐引用方式 GB/T 7714	Li WX,He K,Lv WW,et al. Comprehensive tissue-specific gene set enrichment analysis and transcription factor analysis of breast cancer by integrating 14 gene expression datasets[J]. ONCOTARGET,2016,X(X):XX-XX.
APA	Li WX.,He K.,Lv WW.,Guo YC.,An SQ.,...&Li GH.(2016).Comprehensive tissue-specific gene set enrichment analysis and transcription factor analysis of breast cancer by integrating 14 gene expression datasets.ONCOTARGET,X(X),XX-XX.
MLA	Li WX,et al."Comprehensive tissue-specific gene set enrichment analysis and transcription factor analysis of breast cancer by integrating 14 gene expression datasets".ONCOTARGET X.X(2016):XX-XX.