title: A new bioinformatics insight into human cancer-associated proteins.
abstract: Cancer is a complex disease caused by multiple factors including genetic             mutations, and environmental factors. Cancer-associated proteins are potential             biomarkers or targets for diagnostic and therapeutic interventions in cancer.             The Universal Protein Resourse (UniPort) is a well-annotated comprehensive resourse             for protein sequence records. In the present study, we performed data mining of             Uniprot proteins as a proteomic resource. we generated a catalog of 1653 cancer-associated             proteins including 344 secretory proteins and 300 cell surface proteins. Integrated             bioinformatic analysis including ontological classification, functional enrichment             and pathway construction were performed. These proteins could serve as a reference             for further studies to discover cancer targets, and the enriched bioinformatic             analysis provides new insights into cancer proteomics research.
authors.affiliation: Central Laboratory, Yu-Huang-Ding Hospital/Qingdao University, Yantai 264000, Shandong, PR China. zxsys008@126.com
authors.forename: Fu-Jun
authors.initials: FJ
authors.lastname: Liu
authors.forename: Xiu-Feng
authors.initials: XF
authors.lastname: Hua
authors.forename: Wen-Juan
authors.initials: WJ
authors.lastname: Wang
mesh_terms: D014408:Biomarkers, Tumor; D019295:Computational Biology / Q000379:methods*; D057225:Data Mining; D030562:Databases, Protein; D006801:Humans; D009363:Neoplasm Proteins; D009369:Neoplasms / Q000737:chemistry*; D020543:Proteome; D040901:Proteomics
chemical_list: D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins; D020543:Proteome