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HPB (Oxford) ; 16(7): 670-6, 2014 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-24308545

RESUMEN

BACKGROUND: Identification of diagnostic and prognostic biomarkers is a research priority for the improved management of pancreatic ductal adenocarcinoma (PDAC). Insulin-like growth factor binding protein 2 (IGFBP2) and mesothelin (MSLN) have shown potential as serum biomarkers in other cancers, but have not been adequately studied in PDAC. METHODS: Serum IGFBP2 and MSLN levels were quantified by enzyme-linked immunosorbent assay (ELISA) in a cohort of 84 PDAC patients, 84 healthy control subjects and 40 chronic pancreatitis (ChPT) patients. Regression models related IGFBP2 and MSLN levels to diagnosis, gender, age, stage and survival. RESULTS: IGFPB2 and MSLN serum levels were diagnostic for PDAC in age-adjusted models (P = 0.032 and P = 0.002, respectively) when compared with ChPT and healthy control samples. At a 95% specificity threshold, the sensitivity for IGFBP2 was 22% and the sensitivity for MSLN was 17%. Neither protein approached the diagnostic accuracy of CA 19-9. However, IGFBP2 or MSLN or both correctly identified 18 of the 28 samples misidentified by CA 19-9. In age-adjusted models, neither serum IGFBP2 (P = 0.36) nor MSLN (P = 0.29) were significant predictors of survival. DISCUSSION: Serum IGFBP2 and MSLN are weak diagnostic classifiers individually, but may be useful in a diagnostic biomarker panel.


Asunto(s)
Biomarcadores de Tumor/sangre , Carcinoma Ductal Pancreático/sangre , Proteínas Ligadas a GPI/sangre , Proteína 2 de Unión a Factor de Crecimiento Similar a la Insulina/sangre , Neoplasias Pancreáticas/sangre , Adulto , Anciano , Anciano de 80 o más Años , Carcinoma Ductal Pancreático/mortalidad , Carcinoma Ductal Pancreático/patología , Estudios de Casos y Controles , Ensayo de Inmunoadsorción Enzimática , Femenino , Humanos , Masculino , Mesotelina , Persona de Mediana Edad , Estadificación de Neoplasias , Neoplasias Pancreáticas/mortalidad , Neoplasias Pancreáticas/patología , Valor Predictivo de las Pruebas , Modelos de Riesgos Proporcionales , Factores de Riesgo
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