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Optimization of a battery using nine immunocytochemical variables for distinguishing between epithelial mesothelioma and adenocarcinoma
Author(s) -
DEJMEK ANNIKA,
BROCKSTEDT ULRIKA,
HJERPE ANDERS
Publication year - 1997
Publication title -
apmis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.909
H-Index - 88
eISSN - 1600-0463
pISSN - 0903-4641
DOI - 10.1111/j.1699-0463.1997.tb05099.x
Subject(s) - mesothelioma , adenocarcinoma , pathology , battery (electricity) , biology , medicine , cancer , power (physics) , physics , quantum mechanics
A battery of immunocytochemical analyses, previously established to distinguish between malignant mesothelioma and metastatic adenocarcinoma, was extended by analysing the same cases with three other commercially available antibodies. Altogether, 11 antibodies were studied in mesotheliomas diagnosed by other means, using 14 different immunocytochemical parameters. Logistic regression analysis indicated that the following parameters were of importance for this diagnostic problem: vimentin reactivity in epithelial cells (1), cytokeratin (CAM 5.2) reactivity in spindle‐shaped (fibrous) cells (2), cell membrane‐associated reactivity of EMA (3), HBME‐1 (4) and thrombomodulin (5), and absence of reactivity to CEA (6) CD15 (7), BerEp4 (8) and Sialyl‐TN (9). The analysis gave an algorithm with which a specific diagnosis of mesothelioma could be made in 80% of the cases i.e., some improvement compared to the 55% sensitivity using the previous battery.