| Literature DB >> 15183539 |
Kristin G Nørsett1, Astrid Laegreid, Herman Midelfart, Fekadu Yadetie, Sten Even Erlandsen, Sture Falkmer, Jon E Grønbech, Helge L Waldum, Jan Komorowski, Arne K Sandvik.
Abstract
The aim of the present work is to identify molecular markers that allow classification of gastric carcinoma with respect to important clinicopathological parameters. Gastric adenocarcinomas were subjected to cDNA microarray analysis with a 2.504 gene probe set. Using the Rosetta rough-set based learning system, good classifiers were generated for gene-expression based prediction of intestinal or diffuse growth pattern according to Laurén's classification and presence of lymph node metastases. To our knowledge, this is the first study on gastric carcinoma in which molecular classification has been achieved for more than one clinicopathological parameter based on microarray gene expression profiles. Copyright 2004 Elsevier Ireland Ltd.Entities:
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Year: 2004 PMID： 15183539 DOI： 10.1016/j.canlet.2004.01.022
Source DB: PubMed Journal: Cancer Lett ISSN： 0304-3835 Impact factor: 8.679