Gene expression based classification of gastric carcinoma.
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.
Nørsett
Kristin G
KG
Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, NTNU, N-7489 Trondheim, Norway.
Laegreid
Astrid
A
Midelfart
Herman
H
Yadetie
Fekadu
F
Erlandsen
Sten Even
SE
Falkmer
Sture
S
Grønbech
Jon E
JE
Waldum
Helge L
HL
Komorowski
Jan
J
Sandvik
Arne K
AK
D000230:Adenocarcinoma / Q000235:genetics* / Q000473:pathology; D000368:Aged; D000369:Aged, 80 and over; D005260:Female; D020869:Gene Expression Profiling; D005819:Genetic Markers; D006801:Humans; D008207:Lymphatic Metastasis; D008297:Male; D008875:Middle Aged; D020411:Oligonucleotide Array Sequence Analysis; D011379:Prognosis; D020133:Reverse Transcriptase Polymerase Chain Reaction; D013274:Stomach Neoplasms / Q000235:genetics* / Q000473:pathology
D005819:Genetic Markers