Protein expression profiles and clinicopathologic characteristics associate with gastric cancer survival
Biol. Res
;
52: 42, 2019. tab, graf
Artículo
en Inglés
| LILACS
| ID: biblio-1019506
ABSTRACT
BACKGROUND:
Prognosis remains one of most crucial determinants of gastric cancer (GC) treatment, but current methods do not predict prognosis accurately. Identification of additional biomarkers is urgently required to identify patients at risk of poor prognoses.METHODS:
Tissue microarrays were used to measure expression of nine GC-associated proteins in GC tissue and normal gastric tissue samples. Hierarchical cluster analysis of microarray data and feature selection for factors associated with survival were performed. Based on these data, prognostic scoring models were established to predict clinical outcomes. Finally, ingenuity pathway analysis (IPA) was used to identify a biological GC network.RESULTS:
Eight proteins were upregulated in GC tissues versus normal gastric tissues. Hierarchical cluster analysis and feature selection showed that overall survival was worse in cyclin dependent kinase (CDK)2, Akt1, X-linked inhibitor of apoptosis protein (XIAP), Notch4, and phosphorylated (p)-protein kinase C (PKC) α/ß2 immunopositive patients than in patients that were immunonegative for these proteins. Risk score models based on these five proteins and clinicopathological characteristics were established to determine prognoses of GC patients. These proteins were found to be involved in cancer related-signaling pathways and upstream regulators were identified.CONCLUSION:
This study identified proteins that can be used as clinical biomarkers and established a risk score model based on these proteins and clinicopathological characteristics to assess GC prognosis.
Texto completo:
Disponible
Índice:
LILACS (Américas)
Asunto principal:
Neoplasias Gástricas
/
Biomarcadores de Tumor
/
Proteínas de Neoplasias
Tipo de estudio:
Estudio pronóstico
/
Factores de riesgo
Límite:
Anciano
/
Femenino
/
Humanos
/
Masculino
Idioma:
Inglés
Revista:
Biol. Res
Asunto de la revista:
Biologia
Año:
2019
Tipo del documento:
Artículo
País de afiliación:
China
/
Estados Unidos
Institución/País de afiliación:
Mount Sinai School of Medicine/US
/
The First Hospital of Jilin University/CN
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