Department of Pathology, Sir Ganga Ram Hospital, New Delhi, India 110060.
Arch Pathol Lab Med. 2013 Jul;137(7):961-6. doi: 10.5858/arpa.2012-0048-OA.
The common risk factors for hepatocellular carcinoma (HCC) include persistent viral infection with either hepatitis B or C virus, alcohol abuse, hemochromatosis, and metabolic syndrome. Steatohepatitic (SH) HCC has been recently recognized as a special morphologic variant of HCC associated with metabolic risk factors.
To assess the SH pattern in HCC cases of various etiologies in Indian patients and to further correlate this morphology with the presence of metabolic risk factors.
A total of 101 cases of HCC with various etiologies in explanted livers from adults were included in the study. Morphologic examination was performed to identify SH lesions within the tumor and in the nontumorous liver parenchyma. Correlation of nontumor and tumor SH morphology with clinically identifiable metabolic risk factors and with non-SH type of HCC was performed.
The SH variant of HCC was identified in 19 livers (18.8%). Most SH-HCC cases were associated with metabolic risk factors such as obesity, diabetes, hypertension, and hyperlipidemias. Comparison of SH-HCC with non-SH-HCC was statistically significant in terms of presence of metabolic risk factors.
Steatohepatitic morphology in HCC is frequent in nonalcoholic fatty liver disease-associated cirrhosis (P = .009) and is significantly associated with metabolic risk factors (P = .03). By recognizing SH pattern, one may predict associated metabolic diseases and determine the prognosis both in pretransplant and posttransplant patients.
肝细胞癌(HCC)的常见危险因素包括乙型或丙型肝炎病毒的持续感染、酗酒、血色病和代谢综合征。近年来,人们认识到脂肪性肝炎(SH)HCC 是一种与代谢危险因素相关的 HCC 的特殊形态学变异型。
评估印度患者不同病因 HCC 病例中的 SH 模式,并进一步将这种形态学与代谢危险因素的存在相关联。
本研究共纳入 101 例成人肝移植中不同病因的 HCC 病例。进行形态学检查以识别肿瘤内和非肿瘤性肝实质中的 SH 病变。对非肿瘤和肿瘤 SH 形态与临床可识别的代谢危险因素以及非 SH 型 HCC 进行相关性分析。
在 19 个肝脏(18.8%)中发现了 SH 型 HCC。大多数 SH-HCC 病例与肥胖、糖尿病、高血压和高脂血症等代谢危险因素相关。SH-HCC 与非 SH-HCC 相比,在代谢危险因素的存在方面具有统计学意义。
非酒精性脂肪性肝病相关肝硬化中 SH 形态学较为常见(P =.009),与代谢危险因素显著相关(P =.03)。通过识别 SH 模式,人们可以预测相关代谢疾病,并确定移植前和移植后患者的预后。