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Molecular Biology, Pathobiology, and Genetics |
1 Key Laboratory of Gene Engineering of the Ministry of Education, State Key Laboratory of Biocontrol, School of Life Sciences; 2 State Key Laboratory of Oncology in Southern China, Cancer Center; and 3 Department of Hepatobiliary Oncology, Cancer Center, Sun Yat-sen University, Guangzhou, P.R. China
Requests for reprints: Shi-Mei Zhuang, Key Laboratory of Gene Engineering of the Ministry of Education, School of Life Sciences, Sun Yat-sen University, 135 Xingangxi Road, Guangzhou 510275, P.R. China. Phone: 86-20-84112164; Fax: 86-20-84112169; E-mail: LSSZSM{at}mail.sysu.edu.cn or zhuangshimei{at}163.com and Yunfei Yuan, Department of Hepatobiliary Oncology, Cancer Center, Sun Yat-sen University, 651 Dongfengdong Road, Guangzhou 510060, P.R. China. Phone: 86-20-87343118; Fax: 86-20-87343392; E-mail: yuanyf{at}mail.sysu.edu.cn.
| Abstract |
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| Introduction |
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22 nucleotides. It has been shown that miRNAs can regulate the expression of protein-coding genes at the posttranscriptional level through imperfect base pairing with the 3'-untranslated region (3'-UTR) of target mRNAs (1). Growing evidence suggests that deregulation of miRNAs may contribute to many types of human diseases, including cancer. It has been shown that 50% of miRNAs are located within the chromosomal regions known to be frequently amplified or deleted in human cancer cells (2). Furthermore, misexpression of miRNAs has been observed in various types of cancers (3, 4) and is also associated with the clinical outcome of cancer patients (5, 6). Even more, the expression profiles of miRNAs give much more accurate classification on the tissue origin of poorly differentiated cancer cells, compared with that of mRNA (3). Consistently, miRNAs have been implicated in the regulation of various cellular processes that are often deregulated during tumorigenesis (1, 7–9). These data highlight the importance of miRNAs in cancer development and provide new insights into the molecular mechanisms underlying tumorigenesis. Hepatocellular carcinoma (HCC) is one of the most common cancers worldwide and among the leading causes of cancer-related death (10). Like other cancers, the development of HCC is a multistep process with accumulation of genetic and epigenetic changes (11, 12). Altered miRNA expressions have been observed in HCCs that originated from different geographic areas (5, 8, 13–18). Furthermore, several miRNAs deregulated in HCC, such as miR-21, miR-221, miR-223, and miR-224, have been identified as modulators of cell growth, apoptosis, migration, or invasion (8, 16, 18, 19). These findings suggest the involvement of miRNAs in the pathogenesis of HCC. Obviously, more extensive investigations on the functions of miRNAs that are deregulated in HCC are required to elucidate the role of miRNAs in hepatocarcinogenesis.
In this study, the expression profiles of 308 miRNAs were examined in human HCC and normal hepatic tissues. Moreover, a set of significantly differentially expressed miRNAs were identified in HCC tissues. Further investigation revealed that a frequently down-regulated miRNA, miR-101, could sensitize tumor cells to apoptosis and impaired the ability of cancer cells to form colony in vitro and to develop tumor in vivo. Moreover, myeloid cell leukemia sequence 1 (Mcl-1), an antiapoptotic member of Bcl-2 family, was characterized as a direct target of miR-101. Our findings will help to elucidate the functions of miRNAs and their roles in tumorigenesis.
| Materials and Methods |
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The cell lines used in this study included immortalized mouse embryonic fibroblast cell line NIH/3T3, SV40-transformed embryonic kidney cell line 293T, cervical cancer cell line HeLa, immortalized liver cell line L-02, and six human liver cancer cell lines (HepG2, Hep3B, SK-Hep1, Huh7, QGY-7703, and SMMC-7721). They were all maintained in DMEM (Hyclone) supplemented with 10% fetal bovine serum (FBS, PAA Laboratories GmbH).
Microarray. Total RNAs, isolated from five HCCs and three normal liver tissues using Trizol reagent (Invitrogen), were sent to CapitalBio Corp. for noncoding RNA microarray analysis. The microarray analysis was done as described on the Web site of CapitalBio.4 Briefly,
60 µg of total RNAs were used to extract small-sized RNA using miRNA Isolation Kit (Ambion, Inc.). Fluorescein-labeled miRNAs were hybridized to each noncoding RNA microarray slide, which contains probes complementary to 308 human miRNAs registered in miRBase 11.0.5 Each probe was spotted in triplicate in each slide and every sample was assayed in duplicate. The microarray platform and data have been submitted to the Gene Expression Omnibus public database6 at the National Center for Biotechnology Information, following the Minimum Information About a Microarray Gene Experiment guidelines. The accession numbers are GPL7274 (platform) and GSE12717 (samples; release date September 2008). To allow the comparison among different slides, the signal intensity from each spot was log transformed and normalized using the quantile normalization method in the Bioconductor package,7 as described previously (20). Therefore, the expression level of each miRNA in every sample was represented by the mean of normalized log-transformed values from the duplicate slides. To lessen the effect of random fluctuation on the significance of expression difference, only those miRNAs that displayed signal intensity higher than 1,000 in at least one of the eight examined samples were applied to the statistical comparison between the normal and HCC tissues. This comparison was done with Significance Analysis of Microarrays in the Bioconductor package.
Northern blot. Small-sized RNAs were enriched from total RNAs using PEG8000 as described previously (21). Briefly, 100 to 200 µg of total RNAs in a volume of 600 µL were mixed with 75 µL each of 50% PEG8000 and 5 mol/L NaCl, followed by incubation on ice for 2 h and centrifugation at 12,000 x g for 10 min. The supernatant was collected, mixed with 1/10 volume of 3 mol/L sodium acetate and 4 volumes of cold absolute ethanol, incubated at –20°C overnight and then centrifuged at 24,000 x g for 1 h. The RNA pellet was washed with 80% ethanol, dried briefly, and resuspended in RNase-free water.
The expression level of miRNAs was examined by Northern blot, as described previously (22). The DNA oligonucleotide probes used to detect miR-101 and U6 snRNA were as follows: miR-101-5'-CTTCAGTTATCACAGTACTGTA and U6-5'-AACGCTTCACGAATTTGCGT. The band intensity was quantified using GeneTools software (version 3.03; SynGene).
RNA oligoribonucleotides and cell transfections. miR-101 mimic was a RNA duplex (Supplementary Fig. S1) designed as described previously (23). The small interference RNA (siRNA) targeting human Mcl-1 mRNA (Genbank accession no. NM_021960) was designated as siMCL1 (Supplementary Fig. S1). The control RNA duplex (named as NC) for both miRNA mimic and siRNA was nonhomologous to any human genome sequences (Supplementary Fig. S1). For in vivo tumorigenicity assay, all pyrimidine nucleotides in the NC or miR-101 duplex were substituted by their 2'-O-methyl analogues to improve RNA stability. The anti–miR-101, with sequence of 5'-CUUCAGUUAUCACAGUACUGUA, was a 2'-O-methyl–modified oligoribonucleotide designed as an inhibitor of miR-101. The anti–miR-C, with a sequence of 5'-GUGGAUAUUGUUGCCAUCA, was used as a negative control for anti–miR-101 in the antagonism experiment. All the RNA oligoribonucleotide(s) were purchased from Genepharma.
Reverse transfection of RNA oligoribonucleotide(s) was done using Lipofectamine RNAiMAX (Invitrogen) according to the manufacturer's protocol. The transfection efficiency, examined by a FAM-conjugated siRNA and fluorescence-activated cell sorting analysis, was
77% in HepG2 cells (data not shown). Fifty nanomoles per liter of RNA duplex and 200 nmol/L of miRNA inhibitor were used for each transfection, unless otherwise indicated. In the rescue experiment, 24 h after RNA transfection, cells were transfected with 200 ng plasmids in a 24-well plate, using Lipofectamine 2000 (Invitrogen).
Colony formation assay. Twenty-four hours after transfection, 200 transfected cells were placed in a fresh six-well plate and maintained in DMEM containing 10% FBS for 2 wk. Colonies were fixed with methanol and stained with 0.1% crystal violet in 20% methanol for 15 min.
Tumorigenicity assays in nude mice. All experimental procedures involving animals were in accordance with the Guide for the Care and Use of Laboratory Animals (NIH publication nos. 80-23, revised 1996) and were performed according to the institutional ethical guidelines for animal experiment. miR-101– and NC-transfected HepG2 cells (5 x 104 or 1 x 105) were suspended in 100 µL PBS and then injected s.c. into either side of the posterior flank of the same female BALB/c athymic nude mouse at 5 to 6 wk of age. Tumor growth was examined daily for at least 5 wk. Tumor volume (V) was monitored by measuring the length (L) and width (W) with calipers and calculated with the formula (L x W2) x 0.5.
Vector construction. pGL3cm was created based on the firefly luciferase expressing vector pGL3-control (Promega) by creating BstXI, EcoRI, EcoRV, and ApaI sites immediately upstream of the XbaI site, which was right downstream of the stop codon of the firefly luciferase reporter gene in pGL3-control.
To construct pGL3cm-MCL1-3'-UTR-WT plasmid, a wild-type 3'-UTR segment of human Mcl-1 mRNA (1208-1689 nt, Genbank accession no. NM_021960) containing the putative miR-101 binding sequence (1547–1568 nt) was amplified and cloned into the ApaI and XbaI sites downstream of the luciferase reporter gene in pGL3cm. pGL3cm-MCL1-3'-UTR-MUT, which carried the mutated sequence in the complementary site for the seed region of miR-101, was generated based on pGL3cm-MCL1-3'-UTR-WT plasmid by site-specific mutagenesis.
To construct the miR-101 expression vector (pc3-miR-101), a fragment encompassing the mature miR-101 sequence and its 5'- and 3'-flanking regions (213 and 362 bp, respectively) was amplified and then cloned into the BamHI and EcoRI sites in pcDNA3.0 (Invitrogen).
The plasmid pc3-gab was produced based on pcDNA3.0 by replacing the neomycin open reading frame with an expression cassette of enhanced green fluorescent protein (EGFP) gene between the AsuII and BseJI sites. The Mcl-1 expression vector (pc3-gab-MCL1) was created by cloning the Mcl-1 coding sequence into the BamHI and EcoRI sites of pc3-gab.
Luciferase reporter assay. For luciferase reporter assay, 293T cells (6 x 104) were plated in a 48-well plate and then cotransfected with 400 ng of either pc3-miR-101 or pcDNA3.0, 20 ng of either pGL3cm-MCL1-3'-UTR-WT or pGL3cm-MCL1-3'-UTR-MUT, and 4 ng of pRL-TK (Promega), using calcium phosphate precipitation. Cells were collected 48 h after transfection and analyzed using the Dual-Luciferase Reporter Assay System (Promega). Luciferase activity was detected by M200 microplate fluorescence reader (Tecan). The pRL-TK vector that provided the constitutive expression of Renilla luciferase was cotransfected as an internal control to correct the differences in both transfection and harvest efficiencies. Transfections were done in duplicates and repeated at least thrice in independent experiments.
Western blot. Cell protein lysates were separated in 10% SDS-polyacrylamide gels, electrophoretically transferred to polyvinylidene difluoride membranes (Roche), then detected with rabbit polyclonal antibody specific for Mcl-1 (Santa Cruz Biotechnology) and commercial ECL kit (Pierce). Protein loading was estimated using mouse anti–β-actin monoclonal antibody (Boster). The intensity of protein fragments was quantified using GeneTools software (version 3.03; SynGene).
Semiquantitative reverse transcription-PCR. To obtain cDNA, 2 µg of total RNAs were reverse transcribed using Moloney murine leukemia virus reverse transcriptase (Promega). Specific primers used for PCR amplification were as follows: 5'-AAGATGACCCAGATCATGTTTGAG and 5'-GCAGCTCGTAGCTCTTCTCCAG for β-actin, and 5'-AGAAAGCTGCATCGAACCAT and 5'-CCAGCTCCTACTCCAGCAAC for Mcl-1. PCR products were then separated on 1.5% agarose gels containing ethidium bromide and visualized under UV trans-illumination. Quantification of each product was done using GeneTools software (version 3.03; SynGene).
Apoptosis assay. Apoptosis was evaluated by the apoptotic morphology, the activity of caspase-3/7, and the cell viability. For morphologic examination, cells were stained with 4,6-diamidino-2-phenylindole (DAPI; Sigma-Aldrich) and those with fragmented or condensed nuclei were counted as apoptotic cells. At least 500 cells were counted for each sample.
The activity of caspase-3 and caspase-7 was detected in 96-well format using the Caspase-Glo 3/7 Assay (Promega). One hundred microliters of the Caspase-Glo 3/7 reagent were added to each well and then incubated at room temperature for 1 h. The luminescence was detected using the M200 microplate fluorescence reader (Tecan). The background luminescence associated with cell culture and assay reagent (blank reaction) was subtracted from experimental value.
Cell viability was determined by the Alamar blue assay (AbD Serotec). Briefly, cells were transfected in a 24-well plate and replated into a 96-well plate at 10% confluency 24 h later, followed by the Alamar blue assay at indicated times. Fluorescence of the reduced Alamar blue dye was measured using M200 microplate fluorescence reader (Tecan) at excitation wavelength of 540 nm and emission wavelength of 590 nm.
Statistical analysis. Data are presented as mean ± SEM from at least three separate experiments. Multiple group comparisons were performed using ANOVA with a post hoc test for subsequent individual group comparisons. Differences were considered statistically significant at P < 0.05.
| Results |
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40%; ref. 26). In addition, down-regulation of miR-101 has been observed in HCC (5) and cancers originated from lung (27), breast (28), cervix (29), and ovary (30), suggesting that deregulation of miR-101 may be involved in tumorigenesis. However, the signal pathway(s) regulated by miR-101 and the role of miR-101 in tumorigenesis are still largely unknown. Therefore, miR-101 was chosen for further study in greater detail.
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miR-101 suppresses colony formation in vitro and tumorigenicity in vivo. The significant reduction of miR-101 expression in HCC samples prompted us to explore the possible biological significance of miR-101 in tumorigenesis. As an initial step, the capacity of colony formation was evaluated on liver cancer cell lines (HepG2 and QGY-7703) as well as cervical cancer cell line (HeLa) that were transfected with control RNA duplex (NC), miR-101 duplex, or without any transfection. Interestingly, miR-101–transfected cells displayed much fewer and smaller colonies compared with NC transfectants and nontransfected cells (Fig. 2A ). These data indicate a growth-inhibitory role of miR-101.
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Mcl-1 is a direct target of miR-101. The inhibitory role of miR-101 in tumorigenicity indicates that miR-101 may promote cell apoptosis and/or inhibit cell proliferation. It is generally accepted that miRNAs exert their function through regulating the expression of their downstream target gene(s). Thus, putative miR-101 targets were predicted using target prediction programs, TargetScan and miRanda. Our analysis revealed that Mcl-1, an antiapoptotic member of Bcl-2 family, was a potential target of miR-101. The 3'-UTR of Mcl-1 mRNA contained a complementary site for the seed region of miR-101 (Fig. 3A ). In addition, Mcl-1 had been shown to be up-regulated in different cancer cells (31, 32) and to protect cells from various stimuli-induced apoptosis (33, 34).
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The effect of miR-101 on the endogenous expression of Mcl-1 was further examined. We found that ectopic expression of miR-101 caused a dose-dependent decrease in Mcl-1 protein but not mRNA level (Fig. 3C). Moreover, inhibition of endogenous miR-101 by synthetic miR-101 inhibitor (anti–miR-101) resulted in up-regulation of the Mcl-1 protein (Fig. 3D). These data suggest that miR-101 may inhibit the expression of Mcl-1 at posttranscriptional level by directly targeting the 3'-UTR of Mcl-1 mRNA.
miR-101 sensitizes hepatoma cells to apoptosis. It is well demonstrated that knockdown of Mcl-1 can sensitize cancer cells to apoptosis induced by different stimuli, such as serum starvation (33) or chemotherapeutic drugs (34). Considering miR-101 as a negative regulator of Mcl-1, and evading apoptosis may favor malignant transformation or confer cancer cells with resistance to chemotherapeutic drugs, we further investigated whether miR-101 could promote apoptosis of tumor cells. We found that miR-101 had no obvious effect on cell viability under normal culture conditions (data not shown).
Rapid growth of malignancy results in insufficient blood supply; solid cancer cells thus should evolve to tolerate nutrition starvation. The effect of miR-101 on the apoptosis of serum-deprived HepG2 cells was hereby evaluated by morphologic examination, cell viability, and caspase-3/7 activity assays. Twenty-four hours after transfection with NC or miR-101, cells were deprived of serum for 48 or 72 h before morphologic examination. Compared with NC-transfected cells, miR-101 transfectants displayed higher apoptotic rates both 48 h (31.2% versus 16.5%) and 72 h (87.7% versus 35.1%) after serum starvation (Fig. 4A
), whereas NC transfectants revealed a similar frequency of apoptosis as nontransfected HepG2 cells (Fig. 4A). The cell viability analysis using Alamar blue (Fig. 4B) also showed that miR-101 was effective in suppressing the growth of HepG2 cells under serum starvation. Furthermore, obvious increase in caspase-3/7 activity was found in miR-101–transfected cells compared with NC transfectants (
2.4-fold; Fig. 4C, columns 1 and 2). Interestingly, antagonism with anti–miR-101 counteracted the apoptosis-promoting effects of both exogenous (Fig. 4C, columns 2 and 4) and endogenous miR-101 (Fig. 4C, columns 1 and 3), although the extent of antagonism was more evident on the exogenous than the endogenous miR-101, which might be explained by the low basal level of miR-101 in HepG2 cells (Fig. 1A, lane 4). Taken together, these results indicate that miR-101 increases the sensitivity of cancer cells to serum starvation.
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Mcl-1 is potentially involved in miR-101–regulated apoptosis. To investigate whether Mcl-1 is involved in miR-101–promoted apoptosis, the effect of miR-101 on the Mcl-1 expression under the condition of serum starvation was first examined. The repression effect of miR-101 was still observed (Supplementary Fig. S3). We then investigated whether reduction of Mcl-1 expression may mimic the apoptosis-promoting effect of miR-101 overexpression. HepG2 was transfected with siMCL1 or NC for 24 h and then applied to serum starvation for another 48 h. The results revealed that siMCL1 transfection caused significant reduction in the levels of Mcl-1 mRNA and protein (Fig. 5A ). Furthermore, siMCL1 transfectants displayed obvious increases both in the capase-3/7 activity (1.7-fold; Fig. 5B) and in the proportion of cells with apoptotic morphology (2.3-fold; Fig. 5C), compared with NC-transfected cells. Notably, the apoptosis-promoting effect of Mcl-1 knockdown was similar to that of miR-101 overexpression (Fig. 5B and C). These results were reproducible with other two hepatoma cell lines, QGY-7703 and SMMC-7721 (Fig. 5C). Next, we examined whether Mcl-1 could counteract the proapoptotic function of miR-101. HepG2 cells were transfected with miR-101 duplex for 24 hours and followed by transfection with pc3-gab-MCL1, which encoded the entire Mcl-1 coding sequence but lacked the 3'-UTR of Mcl-1 mRNA. Interestingly, the resulting Mcl-1 overexpression obviously abrogated miR-101–promoted apoptosis (Fig. 5D). Taken together, our results suggest that Mcl-1 is potentially involved in miR-101–regulated apoptosis.
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| Discussion |
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Apoptosis is a major barrier that must be circumvented during malignant transformation. Cancer cells evolve to evade apoptosis so that they can escape from being cleared away by the surveillance system and can survive in the crucial tumor microenvironment, such as hypoxia and low nutrition (35). In this study, we showed that miR-101 sensitized cancer cells to serum deprivation–induced apoptosis, whereas the inhibitor of miR-101 antagonized this effect of miR-101, suggesting that miR-101 may play a critical role in the adaptation of cancer cells to low nutrition. Growing numbers of miRNAs have been implicated in the regulation of apoptotic cell death and in the development of cancers. For instance, miR-15a and miR-16-1, which are down-regulated in the majority of chronic lymphocytic leukemia patients, induce apoptosis by down-regulating Bcl-2 (7). On the other hand, miRNAs acting in an antiapoptotic manner can be illustrated by miR-21, which is frequently overexpressed in cancers (8, 9).
Mcl-1 is an antiapoptotic member of Bcl-2 family. Depletion of Mcl-1 has been well proven to sensitize human cancer cells to apoptosis (32–34). Furthermore, the Mcl-1 transgenic mice exhibit a high probability of developing B-cell lymphoma (36). Although Mcl-1 mutation is an infrequent event, increased Mcl-1 protein level is commonly observed in various types of cancers, including HCC (32). Even more, overexpression of Mcl-1 is correlated with shorter survival of cancer patients (37), which is consistent with the finding that down-regulation of miR-101 is associated with worse survival (17). We postulate that functional loss of miR-101 may result in enhanced expression of Mcl-1 and in turn the resistance of cells to apoptosis, which consequently favors tumor progression.
To date, three genes, including cyclooxygenase-2 (COX-2/PTGS2), EZH2/ENX-1, and MYCN, have been identified as targets of miR-101 (38, 39). miR-101 has been implicated in the process of mouse embryo implantation by targeting COX-2 (38). It has been shown that COX-2 signaling is involved in hepatocarcinogenesis and COX-2 inhibitors prevent HCC cell growth in vitro and in animal models (40). EZH2/ENX-1 and MYCN are another two targets of miR-101 confirmed by the luciferase reporter system (39). EZH2 has been shown to be overexpressed in HCC, and suppression of EZH2 in hepatoma cell lines significantly reduced their growth rate in vitro and markedly diminished their tumorigenicity in vivo (41). MYCN is a member of MYC family. Amplification of this gene has been observed in a variety of tumors, most notably neuroblastomas (42). The target genes regulated by miR-101 may function spatiotemporally or in cooperation in different cellular processes. Our identification of Mcl-1 as a target of miR-101 provides new insights into the mechanisms underlying tumorigenesis and resistance to apoptosis. It is fantastic that a miRNA controls a number of genes that favor the process of tumorigenesis, as introduction of such a single miRNA may modulate complex downstream signals and even prevent malignant transformation.
It is noteworthy that miR-101 is significantly down-regulated in the majority of cancer cell lines and cancer tissues examined, and miR-101 not only suppresses colony formation in vitro and tumorigenicity in vivo but also sensitizes cancer cells to apoptosis induced by various chemotherapeutic drugs. Therefore, therapeutic strategies to introduce miR-101 into cancer cells may be potentially useful not only in retarding the process of tumorigenesis but also in sensitizing cancer cells to anticancer therapy. Further work is warranted to evaluate the application of miR-101 in cancer therapy in vivo. Moreover, miR-101 may also be used as a prognostic factor for cancer patients.
The microarray analysis in this study identified 29 miRNAs that were significantly differentially expressed in HCC tissues. Compared with previous studies in HCC, we found similar trend of deregulation in 11 miRNAs, including miR-101 (5), miR-125b (8), miR-195 (13, 14, 16), miR-199a (5, 13–15), miR-216a (18), miR-210 (8), miR-222 (8, 15, 16, 18), miR-224 (13, 15, 18), miR-223 (5, 14), miR-25 (18), and miR-29c (43). On the other hand, there also exists inconsistency among others and our results, which may attribute to different methodologies used, and/or distinct etiologic factors in different studied cohorts, such as HBV, HCV, and aflatoxin B1 exposure. The majority of HCC patients included in this study were HBsAg positive. Therefore, the miRNA expression patterns we identified may mainly represent the alterations in HBV-positive HCC tissues. Because only one HBV-negative sample in each of the HCC and normal control groups is used in our microarray analysis, we were unable to perform statistical comparison on the profiles of differentially expressed miRNAs between HBV-positive and HBV-negative HCCs. Obviously, future studies including larger size of HBV-positive and HBV-negative samples are required to elucidate the effect of HBV infection on the outcome of miRNA profiles in HCC.
It is unlikely that HBV infection itself but not the tumorigenesis induced the differential expression patterns of miRNAs in our set of HCCs. This contention is based on the following observations. First, HBV infection was prevalent in both HCC and normal control groups used in microarray analysis, with two of three normal liver tissues and four of five HCC samples were HbsAg positive. Second, the expression analysis disclosed that miR-101 was down-regulated in 94.1% of tumor samples (Fig. 1B), compared with matched adjacent noncancerous tissues. Furthermore, HBV-negative HCC tissue (no. 714 in Fig. 1B) displayed
90% reduction in the miR-101 level, relative to the corresponding nontumor sample. Third, it has been reported that HBV infection alone is insufficient to induce major changes in miRNA expression (5).
In summary, we report the altered miRNA expression pattern in HCC and investigate the potential role of miR-101 in tumorigenesis. Our data suggest an important role of miR-101 in the molecular etiology of cancer and implicate the potential application of miR-101 in cancer therapy.
| Disclosure of Potential Conflicts of Interest |
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| Acknowledgments |
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The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
| Footnotes |
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5 http://microrna.sanger.ac.uk/sequences/ ![]()
6 http://www.ncbi.nlm.nih.gov/projects/geo/query/acc.cgi?acc=GSE12717 ![]()
Received 7/28/08. Revised 10/ 6/08. Accepted 11/ 6/08.
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