title: Identification of common tumor signatures based on gene set enrichment analysis.
abstract: The identification of common tumor signatures can discover the shared molecular mechanisms underlying tumorgenesis whereby we can prevent and treat tumors by a system intervention. We identified tumor-associated signatures including pathways, transcription factors, microRNAs and gene ontology categories by analyzing gene sets for differential expression between normal vs. tumor phenotypes classes in various tumor gene expression datasets. We obtained the common tumor signatures based on their identified frequencies for different tumor types. Some shared signatures important for various tumor types were uncovered and discussed. We proposed that the interventions aiming at both the shared tumor signatures and the tissue-specific tumor signatures might be a potential approach to overcoming cancer.
authors.affiliation: Biometric Research Branch, National Cancer Institute, National Institutes of Health, Rockville, MD 20852, USA. xiaosheng.wang@nih.gov
authors.forename: Xiaosheng
authors.initials: X
authors.lastname: Wang
mesh_terms: D014408:Biomarkers, Tumor / Q000032:analysis*; D030541:Databases, Genetic; D020869:Gene Expression Profiling; D006801:Humans; D053858:Metabolic Networks and Pathways / Q000235:genetics; D035683:MicroRNAs / Q000235:genetics; D009369:Neoplasms / Q000235:genetics*; D020411:Oligonucleotide Array Sequence Analysis; D017434:Protein Structure, Tertiary / Q000235:genetics; D014157:Transcription Factors / Q000235:genetics
chemical_list: D014408:Biomarkers, Tumor; D035683:MicroRNAs; D014157:Transcription Factors