title: Mining for Candidate Genes Related to Pancreatic Cancer Using Protein-Protein Interactions and a Shortest Path Approach.
abstract: Pancreatic cancer (PC) is a highly malignant tumor derived from pancreas tissue and is one of the leading causes of death from cancer. Its molecular mechanism has been partially revealed by validating its oncogenes and tumor suppressor genes; however, the available data remain insufficient for medical workers to design effective treatments. Large-scale identification of PC-related genes can promote studies on PC. In this study, we propose a computational method for mining new candidate PC-related genes. A large network was constructed using protein-protein interaction information, and a shortest path approach was applied to mine new candidate genes based on validated PC-related genes. In addition, a permutation test was adopted to further select key candidate genes. Finally, for all discovered candidate genes, the likelihood that the genes are novel PC-related genes is discussed based on their currently known functions.
authors.affiliation: Institute of Health Sciences, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS) & Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200031, China.
authors.forename: Fei
authors.initials: F
authors.lastname: Yuan
authors.affiliation: Institute of Health Sciences, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS) & Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200031, China.
authors.forename: Yu-Hang
authors.initials: YH
authors.lastname: Zhang
authors.affiliation: College of Life Sciences, Shanghai University, Shanghai 200444, China.
authors.forename: Sibao
authors.initials: S
authors.lastname: Wan
authors.affiliation: College of Life Sciences, Shanghai University, Shanghai 200444, China.
authors.forename: ShaoPeng
authors.initials: S
authors.lastname: Wang
authors.affiliation: Institute of Health Sciences, Shanghai Institutes for Biological Sciences (SIBS), Chinese Academy of Sciences (CAS) & Shanghai Jiao Tong University School of Medicine (SJTUSM), Shanghai 200031, China.
authors.forename: Xiang-Yin
authors.initials: XY
authors.lastname: Kong
mesh_terms: D000465:Algorithms; D019295:Computational Biology; D006801:Humans; D010190:Pancreatic Neoplasms / Q000235:genetics*; D060066:Protein Interaction Maps / Q000235:genetics*