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Histopathology ; 22(1): 51-7, 1993 Jan.
Article in English | MEDLINE | ID: mdl-7679659

ABSTRACT

The value of silver staining of nucleolar organizer regions (AgNORs) and human chorionic gonadotropin alpha-chain reaction (HCG-alpha) as markers of malignancy was investigated in 60 primary pancreatic endocrine tumours, 37 of which had metastasized at the time of surgery, and in one of which metastases developed 4 years after surgery. Assessment of AgNORs by digital image analysis revealed few but large AgNORs (mean number 2.5 +/- 1.1; mean area 0.32 +/- 0.1 microns 2) in the 22 benign tumours and many but small AgNORs (mean number 5.1 +/- 1.9, P < 0.05; mean area 0.18 +/- 0.09 microns 2, P < 0.01) in the malignant tumours. Quantification of the number of AgNORs per tumour cell nucleolus (AgNOR distribution score) showed that 96% (26/27) of tumours exhibiting at least 5% of cells with more than six AgNORs per nucleolus showed metastases either at the time of diagnosis or up to 4 years after surgery. HCG-alpha immunoreactive cells were present in 25/38 (66%) malignant tumours and in 4/22 (18%) benign tumours. Combined evaluation of AgNOR distribution and HCG-alpha scores showed a high positive predictive value of 96% in cases with a raised AgNOR distribution score irrespective of the HCG-alpha status. A good negative predictive value (81%) was, however, only obtained if both parameters, AgNOR distribution and HCG-alpha scores, were negative. Thus, investigation of AgNORs and HCG-alpha is helpful in predicting malignancy in a high percentage of pancreatic endocrine tumours.


Subject(s)
Endocrine Gland Neoplasms/pathology , Glycoprotein Hormones, alpha Subunit/analysis , Nucleolus Organizer Region/pathology , Pancreatic Neoplasms/pathology , Adolescent , Adult , Aged , Endocrine Gland Neoplasms/chemistry , Endocrine Gland Neoplasms/ultrastructure , Female , Humans , Immunoenzyme Techniques , Male , Middle Aged , Pancreatic Neoplasms/chemistry , Pancreatic Neoplasms/ultrastructure , Predictive Value of Tests , Silver Staining
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