a comparative analysis of gene-expression data of multiple cancer types比较分析基因表达数据的多种癌症类型.pdfVIP

A Comparative Analysis of Gene-Expression Data of Multiple Cancer Types 1,2. 1. 1 3 1 1,3,4 Kun Xu , Juan Cui , Victor Olman , Qing Yang , David Puett , Ying Xu * 1 Department of Biochemistry and Molecular Biology, Institute of Bioinformatics, University of Georgia, Athens, Georgia, United States of America, 2 Department of Statistics, University of Georgia, Athens, Georgia, United States of America, 3 Joint Center for Systems Biology, Jilin University, Changchun, China, 4 College of Computer Science and Technology, Jilin University, Changchun, China Abstract A comparative study of public gene-expression data of seven types of cancers (breast, colon, kidney, lung, pancreatic, prostate and stomach cancers) was conducted with the aim of deriving marker genes, along with associated pathways, that are either common to multiple types of cancers or specific to individual cancers. The analysis results indicate that (a) each of the seven cancer types can be distinguished from its corresponding control tissue based on the expression patterns of a small number of genes, e.g., 2, 3 or 4; (b) the expression patterns of some genes can distinguish multiple cancer types from their corresponding control tissues, potentially serving as general markers for all or some groups of cancers; (c) the proteins encoded by some of these genes are predicted to be blood secretory, thus providing potential cancer markers in blood; (d) the numbers of differentially expressed genes across different cancer types in comparison with their control tissues correlate well with the five-year survival rates associated with the individual cancers; and (e) some metabolic and signaling pathways are abnormally activated or deactivated across al