作者: Wei Zhu , Chen Li , Zhilong Ai
DOI: 10.1007/S12253-013-9625-1
关键词: Papillary thyroid cancer 、 Gene expression 、 Signal transduction 、 False discovery rate 、 Gene 、 Bioinformatics 、 Carcinogenesis 、 Computational biology 、 Small molecule 、 Biology 、 Disease 、 Pathology and Forensic Medicine 、 Cancer research 、 Oncology 、 General Medicine
摘要: A better understanding of the molecular mechanisms involved in papillary thyroid cancer (PTC) is needed to manage these patients effectively. Our objectives were expand our this disease, and identify biologically active small molecules capable reverse PTC. We downloaded gene expression data PTC from Gene Expression Omnibus database employed computational bioinformatics analysis compare patterns with normal tissues. Small that induced inverse changes identified. total 2,154 differentially expressed genes (DEGs) a false discovery rate 0.01 These DEGs significantly enriched 17 pathways, including pathways associated signal transduction, tumorigenesis lipid or amino acid metabolism. In addition, we identified large amount found group can provide new ideas for therapeutic studies drugs are clearly direction warrants additional consideration.