Author/Authors :
Meireles، نويسنده , , Sibele I. and Carvalho، نويسنده , , Alex F. and Hirata Jr، نويسنده , , Roberto and Montagnini، نويسنده , , André L. and Martins، نويسنده , , Waleska K. and Runza، نويسنده , , Franco B. and Stolf، نويسنده , , Beatriz S. and Termini، نويسنده , , Lara and Neto، نويسنده , , Chamberlein E.M. and Silva، نويسنده , , Ricardo L.A. and Soares، نويسنده , , Fernando A. and Neves، نويسنده , , E.Jordمo and Reis، نويسنده , , Luiz F.L.، نويسنده ,
Abstract :
Using cDNA fragments from the FAPESP/lICR Cancer Genome Project, we constructed a cDNA array having 4512 elements and determined gene expression in six normal and six tumor gastric tissues. Using t-statistics, we identified 80 cDNAs whose expression in normal and tumor samples differed more than 3.5 sample standard deviations. Using Self-Organizing Map, the expression profile of these cDNAs allowed perfect separation of malignant and non-malignant samples. Using the supervised learning procedure Support Vector Machine, we identified trios of cDNAs that could be used to classify samples as normal or tumor, based on single-array analysis. Finally, we identified genes with altered linear correlation when their expression in normal and tumor samples were compared. Further investigation concerning the function of these genes could contribute to the understanding of gastric carcinogenesis and may prove useful in molecular diagnostics.
Keywords :
Gastric cancer , Gene expression , cDNA array , Molecular marker
