Application of serum protein fingerprint in diagnosis of pancreatic cancer / 浙江大学学报·医学版
Journal of Zhejiang University. Medical sciences
; (6): 289-297, 2012.
Article
en Zh
| WPRIM
| ID: wpr-336794
Biblioteca responsable:
WPRO
ABSTRACT
<p><b>OBJECTIVE</b>To establish serum protein fingerprint model for early diagnosis of pancreatic cancer with surface enhanced laser desorption/ionization time of flight-mass spectrometry (SELDI-TOF-MS) and bioinformatics techniques.</p><p><b>METHODS</b>A total of 73 samples were analyzed in this study, including 31 cases of pancreatic cancers, 22 cases of pancreatitis and 20 healthy individuals. Samples were first analyzed by SELDI-TOF-MS and two patterns of differentiation model were constructed with support vector machine arithmetic method.</p><p><b>RESULTS</b>The pattern 1 model differentiating pancreatic cancer patients from healthy individuals had a specificity and a sensitivity of both 100.0%. The pattern 2 model differentiating pancreatic cancer from pancreatitis had a specificity of 95.5% and a sensitivity of 93.5%.</p><p><b>CONCLUSION</b>SELDI-TOF-MS technique combined with bioinformatics can facilitate to identify biomarkers for pancreatic cancer.</p>
Texto completo:
1
Base de datos:
WPRIM
Asunto principal:
Neoplasias Pancreáticas
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Sangre
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Proteínas Sanguíneas
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Biomarcadores de Tumor
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Sensibilidad y Especificidad
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Espectrometría de Masa por Láser de Matriz Asistida de Ionización Desorción
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Análisis por Matrices de Proteínas
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Diagnóstico
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Máquina de Vectores de Soporte
/
Métodos
Tipo de estudio:
Diagnostic_studies
/
Screening_studies
Límite:
Adult
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Aged
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Aged80
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Female
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Humans
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Male
Idioma:
Zh
Revista:
Journal of Zhejiang University. Medical sciences
Año:
2012
Tipo del documento:
Article