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자료유형
학술저널
저자정보
Liu, Tian-Hua (Liver Cancer Institute, Zhongshan Hospital, Fudan University) Guo, Kun (Liver Cancer Institute, Zhongshan Hospital, Fudan University) Liu, Ri-Qiang (Breast Disease Center, Affiliated Cancer Hospital of Guangxi Medical University) Zhang, Shu (Liver Cancer Institute, Zhongshan Hospital, Fudan University) Huang, Zhuo-Hui (Liver Cancer Institute, Zhongshan Hospital, Fudan University) Liu, Yin-Kun (Liver Cancer Institute, Zhongshan Hospital, Fudan University)
저널정보
아시아태평양암예방학회 Asian Pacific journal of cancer prevention : APJCP Asian Pacific journal of cancer prevention : APJCP 제16권 제8호
발행연도
2015.1
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3,131 - 3,135 (5page)

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Objective: To investigate whether the expression of serum soluble neural cell adhesion molecule (sNCAM) is associated with hepatic encephalopathy (HE) in hepatocelular carcinoma (HCC) patients. Materials and Methods: The Oncomine Cancer Microarray database was used to determine the clinical relevance of NCAM expression in different kinds of human cancers. Sera from 75 HCC cases enrolled in this study were assessed for expression of sNCAM by enzyme linked immunosorbent assay (ELISA). Results: Dependent on the Oncomine Cancer Microarray database analysis, NCAM was down regulated in 10 different kinds of cancer, like bladder cancer, brain and central nervous system cancer, while up-regulated in lung cancer, uterine corpus leiomyoma and sarcoma, compared to normal groups. Puzzlingly, NCAM expression demonstrated no significant difference between normal and HCC groups. However, we found by quantitative ELISA that the level of sNCAM in sera from HCC patients with HE ($347.4{\pm}151.9ng/ml$) was significantly more up-regulated than that in HCC patients without HE ($260.3{\pm}104.2ng/ml$), the p-value being 0.008. sNCAM may be an important risk factor of HE in HCC patients, the correlation coefficients was 0.278 (P<0.05) on rank correlation analysis. Conclusions: This study highlights that up-regulated level of serum sNCAM is associated with HE in HCC patients and suggests that the high expression can be used as an indicator.

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