Proteiomic patterns for endometrial cancer using SELDI-TOF-MS / 浙江大学学报(英文版)(B辑:生物医学和生物技术)
Journal of Zhejiang University. Science. B
;
(12): 286-290, 2008.
Artículo
en Inglés
| WPRIM
| ID: wpr-277272
ABSTRACT
Serum samples from endometrial cancer (EC) patients and healthy females were analyzed using surface-enhanced laser desorption-ionization time-of-flight mass spectrometry (SELDI-TOF-MS) to discover the potential diagnostic biomarker for detection of EC. A preliminary training set of spectra derived from 40 EC patients and 30 healthy women were used to develop a proteomic model that effectively discriminated cancer patients from healthy women. The training set had a specificity of 100% and sensitivity of 92.5% in the EC detection. A blind test set, including 20 new cancer cases and 10 healthy women, was used to validate the sensitivity and specificity of this multivariate model, which had a corresponding results of 60% in specificity and 75% in sensitivity, respectively. The combination of SELDI-TOF-MS with bioinformatics tools could help find new biomarkers and establish the detection of EC with high sensitivity and specificity.
Texto completo:
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Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Biomarcadores de Tumor
/
Estudios de Casos y Controles
/
Regulación Neoplásica de la Expresión Génica
/
Sensibilidad y Especificidad
/
Neoplasias Endometriales
/
Espectrometría de Masa por Láser de Matriz Asistida de Ionización Desorción
/
Análisis por Matrices de Proteínas
/
Proteómica
/
Diagnóstico
/
Oncología Médica
Tipo de estudio:
Estudio diagnóstico
/
Estudio observacional
Límite:
Femenino
/
Humanos
Idioma:
Inglés
Revista:
Journal of Zhejiang University. Science. B
Año:
2008
Tipo del documento:
Artículo
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