A combined comparative genomic hybridization and expression microarray analysis of gastric cancer reveals novel molecular subtypes.
Cancer Res
; 63(12): 3309-16, 2003 Jun 15.
Article
en En
| MEDLINE
| ID: mdl-12810664
ABSTRACT
Comparative genomic hybridization (CGH), microsatellite instability (MSI) assays, and expression microarrays were used to molecularly subclassify a common set of gastric tumor samples. We identified a number of novel genomic aberrations associated with gastric cancer and discovered that gastric tumors could be grouped by their expression profiles into three broad classes "tumorigenic," "reactive," and "gastric-like." Patients with gastric-like tumors exhibited a significantly better overall survival than patients belonging to the other two classes (P < 0.05). A novel supervised learning methodology for multiclass prediction was used to identify optimal predictor gene sets that accurately predicted the class of an unknown tumor sample. These predictor sets may prove useful in the development of new diagnostic applications for gastric cancer staging and prognostication.
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Bases de datos:
MEDLINE
Asunto principal:
Neoplasias Gástricas
/
Adenocarcinoma
/
Análisis de Secuencia por Matrices de Oligonucleótidos
/
Perfilación de la Expresión Génica
/
Proteínas de Neoplasias
/
Hibridación de Ácido Nucleico
Tipo de estudio:
Prognostic_studies
Límite:
Humans
Idioma:
En
Revista:
Cancer Res
Año:
2003
Tipo del documento:
Article