PMID- 31938209 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20200325 IS - 1936-2625 (Electronic) IS - 1936-2625 (Linking) VI - 11 IP - 3 DP - 2018 TI - Bioinformatic analysis of differential expression and core GENEs in breast cancer. PG - 1146-1156 AB - Breast cancer (BRCA) is one of the most common malignancies in women. The gene expression profile of GSE103512 from the GEO database was downloaded in order to find key genes involved in the occurrence and development of BRCA. 75 samples, including 65 cancer and 10 normal samples, were included in this analysis. Differentially expressed genes (DEGs) between BRCA patients and health people were chosen using R tool. We next performed gene ontology (GO) analysis and Kyoto Encyclopedia of Gene and Genome (KEGG) pathway analysis using the Database for Annotation, Visualization and Integrated Discovery (DAVID). Moreover, Cytoscape with Search Tool for the Retrieval of Interacting Genes (STRING) was utilized to visualize protein-protein interaction (PPI) of these DEGs. The related genes and medicines specific to hub genes were predicted by CBioportal. We screened a total of 357 DEGs including 77 up-regulated and 280 down-regulated. A series of BRCA related GO terms and pathways were identified by analysis of these DEGs. Insulin-like growth factor 1 (IGF1); epidermal growth factor receptor (EGFR); v-jun avian sarcoma virus 17 oncogene homolog (JUN) and Estrogen Receptor 1 (ESR1) of the DEGs were screened by construction of the PPI network and the degree of connectivity. IGF1 and ESR1 were finally selected as potential hub genes and treatment targets of BRCA. In conclusion, this bioinformatics analysis demonstrated that DEGs and hub genes, such as IGF1, might regulate the development of gastric cancer. These DEGs could be used as new biomarkers for diagnosis and to guide the combination medicine of BRCA. CI - IJCEP Copyright (c) 2018. FAU - Dong, Hongchang AU - Dong H AD - The Key Laboratory of Xinjiang Endemic & Ethnic Diseases and Department of Biochemistry, Shihezi University School of Medicine Shihezi, Xinjiang, China. FAU - Zhang, Shuai AU - Zhang S AD - The Key Laboratory of Xinjiang Endemic & Ethnic Diseases and Department of Biochemistry, Shihezi University School of Medicine Shihezi, Xinjiang, China. FAU - Wei, Yu AU - Wei Y AD - The First Affiliated Hospital of Medical College of Shihezi University Shihezi, Xinjiang, China. FAU - Liu, Chunyan AU - Liu C AD - The First Affiliated Hospital of Medical College of Shihezi University Shihezi, Xinjiang, China. FAU - Wang, Na AU - Wang N AD - The Key Laboratory of Xinjiang Endemic & Ethnic Diseases and Department of Biochemistry, Shihezi University School of Medicine Shihezi, Xinjiang, China. FAU - Zhang, Pan AU - Zhang P AD - The Key Laboratory of Xinjiang Endemic & Ethnic Diseases and Department of Biochemistry, Shihezi University School of Medicine Shihezi, Xinjiang, China. FAU - Zhu, Jingling AU - Zhu J AD - The Key Laboratory of Xinjiang Endemic & Ethnic Diseases and Department of Biochemistry, Shihezi University School of Medicine Shihezi, Xinjiang, China. FAU - Huang, Jin AU - Huang J AD - The Key Laboratory of Xinjiang Endemic & Ethnic Diseases and Department of Biochemistry, Shihezi University School of Medicine Shihezi, Xinjiang, China. LA - eng PT - Journal Article DEP - 20180301 PL - United States TA - Int J Clin Exp Pathol JT - International journal of clinical and experimental pathology JID - 101480565 PMC - PMC6958129 OTO - NOTNLM OT - Breast cancer OT - bioinformatics analysis OT - biomarker OT - differential expression genes OT - therapeutic COIS- None. EDAT- 2018/03/01 00:00 MHDA- 2018/03/01 00:01 PMCR- 2018/03/01 CRDT- 2020/01/16 06:00 PHST- 2017/11/27 00:00 [received] PHST- 2017/12/22 00:00 [accepted] PHST- 2020/01/16 06:00 [entrez] PHST- 2018/03/01 00:00 [pubmed] PHST- 2018/03/01 00:01 [medline] PHST- 2018/03/01 00:00 [pmc-release] PST - epublish SO - Int J Clin Exp Pathol. 2018 Mar 1;11(3):1146-1156. eCollection 2018.