Candidate Agents for Papillary Thyroid Cancer Identified by Gene Expression Analysis

作者: Wei Zhu , Chen Li , Zhilong Ai

DOI: 10.1007/S12253-013-9625-1

关键词: Papillary thyroid cancerGene expressionSignal transductionFalse discovery rateGeneBioinformaticsCarcinogenesisComputational biologySmall moleculeBiologyDiseasePathology and Forensic MedicineCancer researchOncologyGeneral 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.

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