Comprehensive tissue-specific gene set enrichment analysis and transcription factor analysis of breast cancer by integrating 14 gene expression datasets
机构:[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
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.
基金:
National Basic Research Program of ChinaNational Basic Research Program of China [2013CB835100]; National Natural Science Foundation of China (NSFC) [81570376, 31401142, 31401137]; Scientific Research Foundation and Academic AMP; Technology Leaders Introduction Project; 211 Project of Anhui UniversityAnhui University [10117700023, 02303203-32030081]; Education Revitalization Project of Anhui Province [Y05201374]; Overseas Scientific Collaborative Project of Anhui Province of China [1503062011]; Natural Science Foundation Project of Anhui Province [1508085MH189, 1508085QC63]; National Basic Research Program of ChinaNational Basic Research Program of China [2013CB835100]; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [81570376, 31401142, 31401137]; Scientific Research Foundation and Academic AMP; Technology Leaders Introduction Project; 211 Project of Anhui UniversityAnhui University [10117700023, 02303203-32030081]; Education Revitalization Project of Anhui Province [Y05201374]; Overseas Scientific Collaborative Project of Anhui Province of China [1503062011]; Natural Science Foundation Project of Anhui Province [1508085MH189, 1508085QC63]
第一作者机构:[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
共同第一作者:
通讯作者:
通讯机构:[2]State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming 650223, Yunnan, China[5]Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming 650204, Yunnan, 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 Wen-Xing,He Kan,Tang Ling,et al.Comprehensive tissue-specific gene set enrichment analysis and transcription factor analysis of breast cancer by integrating 14 gene expression datasets[J].ONCOTARGET.2017,8(4):6775-6786.doi:10.18632/oncotarget.14286.
APA:
Li, Wen-Xing,He, Kan,Tang, Ling,Dai, Shao-Xing,Li, Gong-Hua...&Huang, Jing-Fei.(2017).Comprehensive tissue-specific gene set enrichment analysis and transcription factor analysis of breast cancer by integrating 14 gene expression datasets.ONCOTARGET,8,(4)
MLA:
Li, Wen-Xing,et al."Comprehensive tissue-specific gene set enrichment analysis and transcription factor analysis of breast cancer by integrating 14 gene expression datasets".ONCOTARGET 8..4(2017):6775-6786