Gene expression based classification of gastric carcinoma

被引:23
作者
Norsett, KG
Lægreid, A
Midelfart, H
Yadetie, F
Erlandsen, SE
Falkmer, S
Gronbech, JE
Waldum, HL
Komorowski, J
Sandvik, AK [1 ]
机构
[1] Norwegian Univ Sci & Technol, Dept Canc Res & Mol Med, N-7489 Trondheim, Norway
[2] Norwegian Univ Sci & Technol, Dept Comp & Informat Sci, N-7489 Trondheim, Norway
[3] Norwegian Univ Sci & Technol, Dept Lab Med, N-7489 Trondheim, Norway
[4] Uppsala Univ, Linnaeus Ctr Bioinformat, Uppsala, Sweden
关键词
cDNA microarray; gastric cancer; learning; prognosis;
D O I
10.1016/j.canlet.2004.01.022
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
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 Lauren'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. (C) 2004 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:227 / 237
页数:11
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