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

摘要: // Wen-Xing Li 1, 2, * , Kan He 3, 4, Ling Tang Shao-Xing Dai 5 Gong-Hua Wen-Wen Lv 6 Yi-Cheng Guo 2 San-Qi An Guo-Ying Wu 3 Dahai Liu Jing-Fei Huang 5, 7, 8, 9 1 Institute of Health Sciences, Anhui University, Hefei 230601, Anhui, China State Key Laboratory Genetic Resources and Evolution, Kunming Zoology, Chinese Academy 650223, Yunnan, Center for Stem Cell Translational Medicine, School Life 4 Department Biostatistics, College Science, University 650204, Hongqiao International Shanghai Tongren Hospital/Faculty Public Health, Jiao Tong 200025, 7 KIZ-SU Joint Animal Models Drug Development, Pharmaceutical Soochow 8 Collaborative Innovation Natural Products Biological Drugs Hong Kong Research Bio-resources Human Disease Mechanisms, These authors have contributed equally to this work Correspondence to: Liu, email: seansean2014@126.com Huang, huangjf@mail.kiz.ac.cn Keywords: breast cancer, tissue specific, gene expression, transcription factors, GSEA Received: August 15, 2016     Accepted: December 07, Published: 27, 2016 ABSTRACT Breast cancer is the most commonly diagnosed malignancy in women. Several key genes pathways been proven correlate with pathology. This study sought explore differences factors (TFs), transcriptional regulation networks dysregulated different tissues cancer. We employed 14 datasets from NCBI-GEO performed an integrated analysis three including breast, blood saliva. The results showed that there were eight (CEBPD, EGR1, EGR2, EGR3, FOS, FOSB, ID1 NFIL3) down-regulated but up-regulated tissue. Furthermore, we identified several unreported tissue-specific TFs may contribute ATOH8, DMRT2, TBX15 ZNF367. dysregulation these damaged lipid metabolism, development, cell adhesion, proliferation, differentiation metastasis processes. Among pathways, serious impairment a relatively moderate damage, whereas saliva was almost unaffected. could be helpful future biomarker discovery, drug design, therapeutic predictive applications cancers.