Honda Masao, Yamashita Taro, Ueda Teruyuki, Takatori Hajime, Nishino Ryuhei, Kaneko Shuichi
Department of Gastroenterology, Kanazawa University Graduate School of Medicine, Kanazawa, Japan.
Hepatology. 2006 Nov;44(5):1122-38. doi: 10.1002/hep.21383.
The clinical manifestations of chronic hepatitis B (CH-B) and chronic hepatitis C (CH-C) are different. We previously reported differences in the gene expression profiles of liver tissue infected with CH-B or CH-C; however, the signaling pathways underlying each condition have yet to be clarified. Using a newly constructed cDNA microarray consisting of 9614 clones selected from 256,550 tags of hepatic serial analysis of gene expression (SAGE) libraries, we compared the gene expression profiles of liver tissue from 24 CH-B patients with those of 23 CH-C patients. Laser capture microdissection was used to isolate hepatocytes from liver lobules and infiltrating lymphoid cells from the portal area, from 16 patients, for gene expression analysis. Furthermore, the comprehensive gene network was analyzed using SAGE libraries of CH-B and CH-C. Supervised and nonsupervised learning methods revealed that gene expression was correlated more with the infecting virus than any other clinical parameters such as histological stage and disease activity. Pro-apoptotic and DNA repair responses were predominant in CH-B with p53 and 14-3-3 interacting genes having an important role. In contrast, inflammatory and anti-apoptotic phenotypes were predominant in CH-C. These differences would evoke different oncogenic factors in CH-B and CH-C. In conclusion, we describe the different signaling pathways induced in the livers of patients with CH-B or CH-C. The results might be useful in guiding therapeutic strategies to prevent the development of hepatocellular carcinoma in cases of CH-B and CH-C.
慢性乙型肝炎(CH-B)和慢性丙型肝炎(CH-C)的临床表现有所不同。我们之前报道过感染CH-B或CH-C的肝组织基因表达谱存在差异;然而,每种情况背后的信号通路尚未阐明。我们使用一个新构建的cDNA微阵列,其由从肝脏基因表达序列分析(SAGE)文库的256,550个标签中挑选出的9614个克隆组成,比较了24例CH-B患者与23例CH-C患者肝组织的基因表达谱。对16例患者使用激光捕获显微切割技术从肝小叶中分离肝细胞,并从门管区分离浸润的淋巴细胞,用于基因表达分析。此外,利用CH-B和CH-C的SAGE文库分析了综合基因网络。监督和非监督学习方法显示,基因表达与感染病毒的相关性高于任何其他临床参数,如组织学分期和疾病活动度。在CH-B中,促凋亡和DNA修复反应占主导,p53和14-3-3相互作用基因发挥重要作用。相比之下,CH-C中炎症和抗凋亡表型占主导。这些差异会在CH-B和CH-C中引发不同的致癌因素。总之,我们描述了CH-B或CH-C患者肝脏中诱导产生的不同信号通路。这些结果可能有助于指导预防CH-B和CH-C患者肝细胞癌发生的治疗策略。