机构：[1]Bioinformatics Centre, School of Life Science, University of Electronic Science and Technology of China, Chengdu 610054, China[2]Department of Biomedicine, Chengdu Medical College, Chengdu 610054, China[3]Sichuan Cancer Hospital and Institute, Chengdu 610054, China四川省肿瘤医院[4]Department of Bioinformatics, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350004, China
Background: To uncover the potential molecular mechanisms of cytokine-relevant genes in breast cancer stroma and identify potential targets for breast cancer treatment. Methods: The differentially expressed (DE) cytokine genes in breast cancer stroma were assessed using microarray data. The pathway and functional enrichment analyses were performed. A protein-protein interaction (PPI) network and PPI subnetworks were constructed and the subnetwork was analyzed by Cytoscape software. Results: One hundred and three DE cytokine genes (55 up-regulated and 48 down-regulated) were identified. Functional enrichment and pathway analysis showed that inflammation, blood vessel growth, leuko-monocyte differentiation, extracellular matrix (ECM) turnover and remodeling pathways were involved. The PPI network with 85 nodes and 236 interactions was constructed and three subnetworks were also identified. Genes encoding for CXCL12, TLR2, ITGAM, and SOCS3 were extracted as the hub genes. Conclusions: These dysregulated genes of tumor stroma may provide important clues for in-depth study of breast cancer therapeutic strategies.
基金：
National Natural Science Foundation of China (grant no.81201702). Health and Family Planning Commission of Sichuan Province of China (grant no.120491). Scientific research project of Sichuan Provincial Health Department (grant no.13Z068); Science and technology support program of Sichuan Science and Technology Department (grant no.2016GZ0364).
第一作者机构：[1]Bioinformatics Centre, School of Life Science, University of Electronic Science and Technology of China, Chengdu 610054, China[2]Department of Biomedicine, Chengdu Medical College, Chengdu 610054, China[*1]Department of Biomedicine, Chengdu Medical College, Chengdu 610054, China.
通讯作者：
通讯机构：[1]Bioinformatics Centre, School of Life Science, University of Electronic Science and Technology of China, Chengdu 610054, China[2]Department of Biomedicine, Chengdu Medical College, Chengdu 610054, China[*1]Department of Biomedicine, Chengdu Medical College, Chengdu 610054, China.
推荐引用方式(GB/T 7714)：
He Lang,Wang Dan,Wei Na,et al.Identification of potential therapeutic targets using breast cancer stroma expression profiling[J].TRANSLATIONAL CANCER RESEARCH.2016,5(3):241-249.doi:10.21037/tcr.2016.05.07.
APA：
He, Lang,Wang, Dan,Wei, Na&Guo, Zheng.(2016).Identification of potential therapeutic targets using breast cancer stroma expression profiling.TRANSLATIONAL CANCER RESEARCH,5,(3)
MLA：
He, Lang,et al."Identification of potential therapeutic targets using breast cancer stroma expression profiling".TRANSLATIONAL CANCER RESEARCH 5..3(2016):241-249
