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.
Artigo
em Chinês
| WPRIM
| ID: wpr-336794
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>
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Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Neoplasias Pancreáticas
/
Sangue
/
Proteínas Sanguíneas
/
Biomarcadores Tumorais
/
Sensibilidade e Especificidade
/
Espectrometria de Massas por Ionização e Dessorção a Laser Assistida por Matriz
/
Análise Serial de Proteínas
/
Diagnóstico
/
Máquina de Vetores de Suporte
/
Métodos
Tipo de estudo:
Estudo diagnóstico
/
Estudo de rastreamento
Limite:
Adulto
/
Idoso
/
Aged80
/
Feminino
/
Humanos
/
Masculino
Idioma:
Chinês
Revista:
Journal of Zhejiang University. Medical sciences
Ano de publicação:
2012
Tipo de documento:
Artigo
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