Global regulation on microRNA in hepatitis B virus-associated hepatocellular carcinoma

Recent work has revealed the causative links between deregulation of microRNAs (miRNAs) and cancer development. In hepatocellular carcinoma (HCC), aberrant expression of miRNAs has been observed, but the molecular mechanisms that contribute to such changes remains to be elucidated. Here, we reported the analysis of miRNA expression in 94 pairs of tumor and adjacent nontumor tissues from HBV-associated HCC in Chinese patients. We found miRNAs were aberrantly expressed in HCC tissues. To investigate the cause of such deregulation, we detected changes in DNA copy number by measuring locus-specific hybridization intensity, and found changes in expression of several miRNAs are correlated with genomic amplification or deletion. For example, the genomic regions of miR-30d and miR-151 were amplified in ～50% of HCC tumor tissues, and the expressions of these miRNAs are significantly correlated with DNA copy number. We also employed cDNA microarray data, and provide evidence that key regulators of the miRNA biosynthetic pathway, including DROSHA, DGCR8, AGO1, and AGO2, are frequently overexpressed in HCC. This study provides molecular clues that may contribute to the global changes of miRNA expression in HCC.     

Integrative genomics based identification of potential human hepatocarcinogenesis-associated cell cycle regulators: RHAMM as an example

DNA microarray has been widely used to examine gene expression profile of different human tumors. The information generated from microarray analysis usually represents the overall range of cancer-associated abnormality associated with gene regulation. In order to identify key regulatory genes involved in carcinogenesis of human cancer, hypothesis driven data mining of the microarray data plus experimental validation becomes a critical approach in the post-genome era. Here, we present an integrative genomic analysis of published microarray data and homolog gene database. Over 20,000 genes were examined to reveal 16 genes specific to vertebrates, cell cycle G2/M regulated, and overexpressed in human HCC. Using Affymetrix microarray analysis, we found that all 16 genes were up-regulated in human HCC. Among these 16 genes, we experimentally validated the up-regulation of receptor for hyaluronan-mediated motility (RHAMM) in different cell model systems. We first confirmed elevation of RHAMM in the G2/M phase of synchronized HeLa cells. We also found that RHAMM had an elevated level of expression in all the HCC samples we examined and it was induced during the G2/M phase of regenerating mouse hepatocytes after partial hepatectomy. Thus, the expression of RHAMM appears to be tightly regulated during mammalian cell cycle G2/M progression. The ectopic overexpression of RHAMM in 293T cells resulted in the accumulation of cells at G2/M phase. RHAMM-induced mitotic arrest of cells was predominantly in the prophase. Taken together, using an integrated functional genomic approach, we have uncovered a set of genes that may play specific roles in cell cycle progression and in HCC development. To elucidate the function of these genes in cell cycle regulation may shed light on the control mechanism of human HCC in the future.     

Preemptive Homology-Directed DNA Repair Fosters Complex Genomic Rearrangements in Hepatocellular Carcinoma

Degree of genomic instability closely correlates with poor prognosis, drug resistance as well as poor survival across human cancer of different origins. This study assessed the relationship between DNA damage response (DDR) and chromosome instability in hepatocellular carcinoma (HCC). We investigated DDR signaling in HCC cells by analyzing DNA damage-dependent redistribution of major DDR proteins to damaged chromatin using immunofluorescence microscopy and Western blotting experimentations. We also performed gene conversion and metaphase analyses to address whether dysregulated DDR may bear any biological significance during hepatocarcinogenesis. Accordingly, we found that HCC cell lines suffered from elevated spontaneous DNA double-strand breaks (DSBs). In addition, analyses of HCC metaphases revealed marked aneuploidy and frequent sister chromatid exchanges when compared to immortalized hepatocytes, the latter of which were further induced following camptothecin-induced DSBs. We propose that genomic instability in HCC may be caused by erroneous DNA repair in a desperate attempt to mend DSBs for cell survival and that such preemptive measures inadvertently foster chromosome instability and thus complex genomic rearrangements.     

Computational analysis and prediction for exons of PAC579 genomic sequence

To isolate the novel genes related to human hepatocellular carcinoma (HCC), we se-quenced P1-derived artificial chromosome PAC579 (D17S926 locus) mapped in the minimum LOH (loss of heterozygosity) deletion region of chromosome 17p13.3 in HCC. Four novel genes mapped in this genomic sequence area were isolated and cloned by wet-lab experiments, and the exons of these genes were located. 0-60 kb of this genomic sequence including the genes of interest was scanned with five different computational exon prediction programs as well as four splice site recognition programs. After analyzing and comparing the computationally predicted results with the wet-lab experiment results, some potential exons were predicted in the genomic sequence by using these programs.     

Computational analysis and prediction for exons of PAC579 genomic sequence

To isolate the novel genes related to human hepatocellular carcinoma (HCC), we sequenced P1-derived artificial chromosome PAC579 (D17S926 locus) mapped in the minimum LOH (loss of heterozygosity) deletion region of chromosome 17p13.3 in HCC. Four novel genes mapped in this genomic sequence area were isolated and cloned by wet-lab experiments, and the exons of these genes were located. 0–60 kb of this genomic sequence including the genes of interest was scanned with five different computational exon prediction programs as well as four splice site recognition programs. After analyzing and comparing the computationally predicted results with the wet-lab experiment results, some potential exons were predicted in the genomic sequence by using these programs.     

Analysis of sequence variations in 59 microRNAs in hepatocellular carcinomas

It is well demonstrated that mutations in protein-coding genes play a key role during carcinogenesis. Whether sequence variations in microRNA genes are also associated with tumorigenesis is still unknown and thus require extensive investigations. In the present study, genomic sequences coding for the precursors of 59 microRNA genes were analyzed in both hepatocellular carcinoma (HCC) tissues and liver cancer derived cell lines. In total, four variations in three microRNAs, including miR-106b, miR-192 and let-7a-2, were found in four out of 96 HCC tissues. Further investigation in the corresponding adjacent non-cancerous tissues identified the same sequence variations, suggesting the possibility of germline mutations or natural polymorphisms. Moreover, no variation was found in eight liver cancer derived cell lines. Among four sequence alterations observed in this study, two were located in miR-106b and identified as known single nucleotide polymorphisms, while the other two found in miR-192 and let-7a-2 had not been reported before. In conclusion, our data suggest that mutation of microRNA is a rare event in HCC and thus may not represent a main mechanism underlying hepatocarcinogenesis.     

Polymorphism analyses of hepatitis B virus X gene in hepatocellular carcinoma patients from southern China

Chronic hepatitis B virus(HBV)infection is one of the major causes of hepatocellularcarcinoma(HCC),and the HBV X(HBx)gene plays a critical role in the molecular pathogenesis ofHBV-related HCC.We have investigated whether there are particular HBx gene mutations associated withHCC in patients from southern China.The HBx gene was examined in 51 paraffin-embedded tumor tissuesamples from patients with HCC and 25 serum samples from the HBV carrier by nested polymerase chainreaction(PCR),single-stranded conformational polymorphism and heteroduplex analysis.The HBx geneswith potentially important mutations from tumor tissue samples were cloned,sequenced and aligned withthe published HBx gene sequence.HBV genotypes in tumor tissue samples were analyzed by nested PCR.Analyses of HBx gene polymorphism showed that 31.3% of HBx gene fragments in tumor tissue sampleshad a special pattern.A common deletion at nt 382-400 of the HBx gene accompanied by 29 point mutationswas detected in four randomly selected tumor tissue samples with this pattern which caused a frame-shiftin the HBx open reading frame with a new stop codon at nt 1818,resulting in an HBx polypeptide chaintruncated at the C end in these cases.Among the four randomly selected samples,three were HBV genotypeB,and one was not detected by our present assay.In another tumor tissue sample,amplification of thefull-length HBx gene yielded a shorter fragment.Sequencing of this fragment revealed a 264 bp deletionbetween nt 1577 and 1840 of the HBV gene.These results suggest that HBx gene mutation occurs frequentlyin HCC samples,and the deletion at nt 382-400 of the HBx gene might play a role in carcinogenesis of HCCin southern China.     

MicroRNA 122对肝癌细胞基因表达谱的影响

为研究microRNA（miR-122）对肝癌细胞Hep3B基因表达谱的影响,并探讨其在肝癌发过程中的可能作用,构建了miR-122稳定高表达的Hep3B细胞,利用基因表达谱芯片技术筛选得到和对照组细胞比较的差异表达基因.研究结果显示,2倍以上变化的差异表达基因有490个,其中上调的有345个,下调的有145个.这些基因中有16个与肿瘤发生相关,其它基因涉及细胞周期、信号转导、细胞凋亡和细胞增殖分化等众多生物学过程.这些结果提示,miR-122可能在肝癌发生的过程中发挥作用,并可能与这些差异表达基因密切相关.另外,还结合生物信息学方法,在下调表达的基因中预测了miR-122可能直接作用的靶基因.本研究初步探讨了miR-122在肝癌细胞中的生物学功能,为进一步研究miR-122在肝癌发生中的作用奠定了基础,同时也为miRNA的生物学功能及其作用机制的研究提供了一些参考.     

Identification of frequent cytogenetic aberrations in hepatocellular carcinoma using gene-expression microarray data

Background  

Hepatocellular carcinoma (HCC) is a leading cause of death worldwide. Frequent cytogenetic abnormalities that occur in HCC suggest that tumor-modifying genes (oncogenes or tumor suppressors) may be driving selection for amplification or deletion of these particular genetic regions. In many cases, however, the gene(s) that drive the selection are unknown. Although techniques such as comparative genomic hybridization (CGH) have traditionally been used to identify cytogenetic aberrations, it might also be possible to identify them indirectly from gene-expression studies. A technique we have called comparative genomic microarray analysis (CGMA) predicts regions of cytogenetic change by searching for regional gene-expression biases. CGMA was applied to HCC gene-expression profiles to identify regions of frequent cytogenetic change and to identify genes whose expression is misregulated within these regions.     

Determination of HER-2/Neu status in hepatocellular carcinoma cases

Specific chromosome abnormalities and genetic changes in hepatocellular carcinoma (HCC) have been demonstrated by conventional cytogenetic studies or molecular cytogenetic approaches like comparative genomic hybridization and loss of heterozygosity analyses. HER-2/Neu amplification and expression has been studied as a molecular target for treatment of HCC, and there are conflicting results. We aimed to determine HER-2/Neu status in archive materials of HCC patients by fluorescence in situ hybridization (FISH). Among the 35 patients, 2 had HER-2/Neu amplification and 3 had increased chromosome 17 copy number. All these patients had grade 2 or 3 tumor with a diameter of 3-12 cm. We conclude that although HER-2/Neu amplification is not the primary mechanism in the development of liver tumors, it might play a role in one of the steps of multistage carcinogenesis.     

Advances in Research on Hepatitis B Virus DNA Integration

Since HBV DNA integration was discovered for the first time in 1980, various methods have been used to detect and study it, such as Southern Blot, in situ hybridization, polymerase chain reaction and so on. HBV DNA integration is thought to be random on the whole although some hot spots of integration were described by some researchers, one of which might be the repetitive sequences of the genomic DNA. Besides, DNA damage, especially double-strand breaks could promote HBV DNA integration into host genome. HBV DNA integration into cells may damage the stability of the genome, cause DNA rearrangement, promote DNA deletion and induce the formation of HCC.     

Advances in research on hepatitis B virus DNA integration

Since HBV DNA integration was discovered for the first time in 1980, various methods have been used to detect and study it, such as Southern Blot, in situ hybridization, polymerase chain reaction and so on. HBV DNA integration is thought to be random on the whole although some hot spots of integration were described by some researchers, one of which might be the repetitive sequences of the genomic DNA. Besides, DNA damage, especially double-strand breaks could promote HBV DNA integration into host genome. HBV DNA integration into cells may damage the stability of the genome, cause DNA rearrangement, promote DNA deletion and induce the formation of HCC.     

Hepatitis B viral factors and clinical outcomes of chronic hepatitis B

Hepatitis B virus (HBV) infection is an important health problem and the major cause of chronic hepatitis, cirrhosis as well as hepatocellular carcinoma (HCC) worldwide. The natural history of chronic HBV infection can be divided into 4 dynamic phases in HBV carriers who acquire the virus early in life. In general, the frequency and severity of hepatitis flares in the immune clearance or reactivation phase predict disease progression in HBV carriers, and early HBeAg seroconversion typically confers a favorable outcome. In contrast, late or absent HBeAg seroconversion after multiple hepatitis flares accelerates the progression of chronic hepatitis to cirrhosis. Recently, several hepatitis B viral factors predictive of clinical outcomes have been identified. For example, serum HBV DNA level at enrollment is the best predictor of adverse outcomes (cirrhosis, HCC and death from liver disease) in adults with chronic HBV infection. In addition, HBV genotype C, basal core promoter (BCP) mutant and pre-S deletion mutant are associated with increased risk of HCC development. In conclusion, hepatitis B viral factors such as serum HBV DNA level, genotype and mutants have already been clarified to influence disease progression of chronic hepatitis B. Further studies are needed to investigate the pathogenic mechanism of each viral factor.     

Genome-wide integrative analysis revealed a correlation between lengths of copy number segments and corresponding gene expression profile

Microarray analysis has been applied to comprehensively reveal the abnormalities of DNA copy number (CN) and gene expression in human cancer research during the last decade. These analyses have individually contributed to identify the genes associated with carcinogenesis, progression, metastasis of tumor cells and poor prognosis of cancer patients. However, it is known that the correlation between profiles of CN and gene expression does not highly correlate. Factors which determine the degree of correlation remain largely unexplained. To investigate one such factor, we performed trend analyses between the lengths of CN segments and corresponding gene expression profiles from microarray data in hepatocellular carcinoma (HCC) and colorectal carcinoma (CRC). Significant correlations were observed in CN gain of HCC and CRC (p<0.05). The trend of the CN loss showed a significant correlation in HCC although there was no correlation between the length of CN loss segments and gene expression in CRC. Our findings suggest that the influence of CN on gene expression highly depends on the length of CN region, especially in the case of CN gain. To the best of our knowledge, this is the first study describing the correlation between lengths of CNA segments and expression profiles of corresponding genes.