MicroRNA profiles in various hepatocellular carcinoma cell lines.
MicroRNA profiles in various hepatocellular carcinoma cell lines.
复制标题
DOI：
10.3892/ol.2016.4853
复制
发表时间：
2016-09
期刊：
影响因子：
2.9
通讯作者：
Masaki T
中科院分区：
文献类型：
--
作者：
Morishita A;Iwama H;Fujihara S;Sakamoto T;Fujita K;Tani J;Miyoshi H;Yoneyama H;Himoto T;Masaki T
肝细胞癌（HCC）是全球癌症相关死亡的最常见原因之一。虽然手术被认为是HCC患者最有效的治疗方法，但其适应症受到有限标准和术后复发率的限制；因此，晚期HCC患者需要全身化疗来延长其生存期。MicroRNAs （miRNAs）是长度为18-22个核苷酸的内源性非编码rna。据报道，mirna的异常表达是各种类型的人类癌症的共同特征。先前的研究表明，非编码rna，特别是mirna的调节可能是HCC的一个有价值的治疗靶点。本研究的目的是阐明在HCC细胞系中观察到的与分化和乙型肝炎病毒（HBV）感染相关的miRNA谱。使用人Alex、Hep3B、HepG2、HuH1、HuH7、JHH1、JHH2、JHH5、JHH6、HLE、HLF和Li-7肝癌细胞系构建miRNA阵列。对重复数据进行分类分析：i)分化差和分化良好的人HCC细胞和ii) hbv阳性和阴性的人HCC细胞。在1719个mirna中，与高分化细胞相比，在低分化细胞中发现4个显著上调，52个显著下调。相反，与hbv阴性细胞相比，在hbv阳性细胞中发现125个mirna上调，2个mirna下调。基于Pearson相关的无监督分层聚类分析显示，各组miRNA表达水平既聚在一起，也分别聚在一起。总之，基于各种参数的miRNA谱表征可能是一种确定HCC病因的新方法。
Hepatocellular carcinoma (HCC) is one of the most common causes of cancer-associated mortality worldwide. Although surgery is considered the most effective treatment for patients with HCC, its indication is restricted by limited criteria and a high relapse rate following surgery; therefore, systemic chemotherapy is required for patients with advanced-stage HCC to prolong their survival. MicroRNAs (miRNAs) are endogenous non-coding RNAs of 18–22 nucleotides in length. It has been reported that aberrant expression of miRNAs is a feature shared by various types of human cancer. Previous studies have indicated that the modulation of non-coding RNAs, particularly miRNAs, may be a valuable therapeutic target for HCC. The aim of the present study was to elucidate the miRNA profiles associated with differentiation and hepatitis B virus (HBV) infection observed in HCC cell lines. The human Alex, Hep3B, HepG2, HuH1, HuH7, JHH1, JHH2, JHH5, JHH6, HLE, HLF and Li-7 HCC cell lines were used for an miRNA array. Replicate data were analyzed following their classification into: i) Poorly- and well-differentiated human HCC cells and ii) HBV-positive and -negative human HCC cells. Out of the 1,719 miRNAs, 4 were found to be significantly upregulated and 52 significantly downregulated in the poorly-differentiated cells, as compared with the well-differentiated cells. Conversely, in the HBV-positive cells 125 miRNAs were found to be upregulated and 2 downregulated, as compared with the HBV-negative cells. Unsupervised hierarchical clustering analysis with Pearson's correlation revealed that the miRNA expression levels were clustered both together and separately in each group. In conclusion, miRNA profile characterization based on various parameters may be a novel approach to determine the etiology of HCC.