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Am J Surg Pathol ; 34(8): 1147-54, 2010 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-20661013

RESUMEN

The distinction of hepatocellular carcinoma (HCC) from metastatic tumor in the liver often presents a diagnostic challenge that carries significant impact on prognostication and therapy. The number of diagnostically useful immunohistochemical markers of hepatocytes is limited to hepatocyte paraffin antigen (HepPar-1), polyclonal carcinoembryonic antigen, and CD10, with alpha-fetoprotein and glypican-3 labeling HCCs. Arginase-1 (Arg-1) is a binuclear manganese metalloenzyme that catalyzes the hydrolysis of arginine to ornithine and urea. We used immunohistochemistry to compare the sensitivity of Arg-1 to that of HepPar-1 in 151 HCCs. We found that the overall sensitivities of Arg-1 and HepPar-1 are 96.0% and 84.1%, respectively. The sensitivities of Arg-1 in well, moderately, and poorly differentiated HCCs are 100%, 96.2%, and 85.7%, respectively, whereas, in comparison, HepPar-1 demonstrated sensitivities of 100%, 83.0%, and 46.4% for well, moderately, and poorly differentiated tumors, respectively. There were no HCCs in our study that were reactive for HepPar-1 but nonreactive for Arg-1. We also examined Arg-1 expression in nonhepatocellular tumors, including many that are potential mimics of HCC (renal cell carcinomas, neuroendocrine tumors, melanomas, gastric adenocarcinomas, and adrenocortical carcinomas) and found that only 2 non-HCC tumors were reactive for Arg-1. Arg-1 represents a sensitive and specific marker of benign and malignant hepatocytes that may ultimately prove to be a useful diagnostic tool in routine surgical pathology practice.


Asunto(s)
Arginasa/análisis , Biomarcadores de Tumor/análisis , Carcinoma Hepatocelular/enzimología , Hepatocitos/enzimología , Inmunohistoquímica , Neoplasias Hepáticas/enzimología , Brasil , Carcinoma Hepatocelular/patología , Diferenciación Celular , Hepatocitos/patología , Humanos , Neoplasias Hepáticas/patología , Valor Predictivo de las Pruebas , Sensibilidad y Especificidad , Análisis de Matrices Tisulares , Estados Unidos
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