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Malic enzyme 1 is a potential marker of combined hepatocellular cholangiocarcinoma, subtype with stem‐cell features, intermediate‐cell type
Author(s) -
Mihara Yutaro,
Akiba Jun,
Ogasawara Sachiko,
Kondo Reiichiro,
Fukushima Hiroto,
Itadani Hiraku,
Obara Hitoshi,
Kakuma Tatsuyuki,
Kusano Hironori,
Naito Yoshiki,
Okuda Koji,
Nakashima Osamu,
Yano Hirohisa
Publication year - 2019
Publication title -
hepatology research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.123
H-Index - 75
eISSN - 1872-034X
pISSN - 1386-6346
DOI - 10.1111/hepr.13365
Subject(s) - immunohistochemistry , hepatocellular carcinoma , receiver operating characteristic , tissue microarray , pathology , malic enzyme , stem cell marker , biology , medicine , cell , oncology , enzyme , genetics , biochemistry , dehydrogenase
Aim Combined hepatocellular cholangiocarcinoma, subtype with stem‐cell features, intermediate‐cell subtype (INT) shows various histological appearances and could be misdiagnosed as intrahepatic cholangiocarcinoma (iCCA). In the present study, we aimed to identify specific histological diagnostic markers of INT. Methods We extracted RNA from FFPE sections of six INT, five iCCA, and five hepatocellular carcinoma (HCC) cases and compared gene expression between INT, iCCA, and HCC by microarray analysis. We then undertook immunohistochemical (IHC) staining of potential key molecules identified by microarray analysis, the conventional hepatocytic marker, hepatocyte paraffin (HepPar)‐1, and the cholangiocytic markers, keratin (K) 7 and K19, on 35 INT, 25 iCCA, and 60 HCC cases. Results Microarray analysis suggested that malic enzyme 1 (ME1) was significantly upregulated in INT. Immunohistochemical analysis revealed that the positive rates of ME1 in INT, iCCA, and HCC were 77.1% (27/35), 28.0% (7/25), and 61.7% (37/60), respectively. Analysis of classification and regression trees based on IHC scores indicated that HepPar‐1 could be a good candidate for discriminating HCC from the others with high sensitivity (93.3%) and high specificity (96.7%). A multiple logistic regression model and receiver operating characteristic curve analysis based on the IHC scores of ME1, K7, and K19 generated a composite score that can discriminate between INT and iCCA. Using this composite score, INT could be discriminated from iCCA with high sensitivity (88.6%) and high specificity (88.0%). Conclusions We propose that ME1 is a useful diagnostic marker of INT when used in combination with other hepatocytic and cholangiocytic markers.