MicroRNA-183 is involved in cell proliferation, survival and poor prognosis in pancreatic ductal adenocarcinoma by regulating Bmi-1
- Authors:
- Published online on: August 1, 2014 https://doi.org/10.3892/or.2014.3374
- Pages: 1734-1740
Abstract
Introduction
Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignant disease, and is ranked as the fourth leading cause of cancer-related mortality with a median survival of 6 months (1). Despite rapid advances in diagnostic and surgical procedures, PDAC remains one of the most difficult human malignancies to treat. Thus, identification of key molecules or pathways specifically expressed in PDAC that are essential for the growth and survival of cancer cells may provide novel therapeutic targets and ultimately lead to improved survival.
MicroRNAs (miRNAs) are a class of small, non-coding RNAs that play important roles in various biological processes (2). miRNAs have been discovered as naturally occurring non-coding RNAs, that control gene expression via specific sites at the 3′-UTR of target mRNAs, causing translational repression or degradation (3,4). Recent evidence has shown that miRNA mutations or mis-expression is correlated with various human cancers and indicates that miRNAs can function as tumor suppressors or oncogenes. miR-183 is one member of the miR-182-183 miRNA cluster located in the 7q31-34 locus (5). Overexpression of miR-183 has been noted in human colorectal cancer, and the miR-183-96-182 cluster is frequently amplified in melanoma (6,7). However, miR-183 was identified as a potential metastasis-inhibitor in lung cancer cells (8). These data suggest that the effect of miR-183 as an oncogene is cell-type dependent.
Although miR-183 and its target have been widely explored as cancer-related targets for tumors, there is no information available concerning their relevance in PDAC. The aim of the present study was to examine the role of miR-183 in PDAC and to investigate the potential mechanisms involved in miR-183 function in PDAC.
Materials and methods
Clinical samples and cell lines
PDAC tissues were obtained from the Department of Hepatobiliary Surgery, Xijing Hospital, The Fourth Military Medical University (Xi’an, China), between January 2003 and September 2008. Specimens were obtained from patients who had not received preoperative treatments such as chemotherapy. This study was approved by the Ethics Committee of The Fourth Military Medical University and conformed to the ethical guidelines of the 2004 Declaration of Helsinki. Written informed consent was obtained from each patient or from his/her legal guardians. Before the study was initiated, histopathological examinations were performed to confirm that there were enough cancer cells in the tumor samples and that no cancer cells had contaminated the non-cancerous tissues. Tissues were snap frozen in liquid nitrogen after surgical resection until use. The human pancreatic non-tumor cell line (HPDE6c7) and human PDAC cell lines (ASPC-1, SW1990, BXPC-3, CFPAC-1 and PANC-1) were cultivated in DMEM supplemented with 10% fetal calf serum (Sigma Chemical Co., St. Louis, MO, USA). Primary antibodies against Bim-1, cyclin D1, Cdk2, Cdk4 and GAPDH were purchased from Santa Cruz Biotechnology (Santa Cruz, CA, USA). All secondary antibodies were obtained from Pierce (Rockford, IL, USA). Bim-1 small interfering RNA (siRNA) and siRNA controls were obtained from Santa Cruz Biotechnology. Lipofectamine 2000 was purchased from Invitrogen (Carlsbad, CA, USA). All other chemicals and solutions were purchased from Sigma-Aldrich unless otherwise indicated.
Cell transfection
miR-183 mimics, inhibitors (miR-183-AS) and their respective negative controls (NC) were obtained from GenePharma Company (Shanghai, China). The day before transfection, cells were seeded in antibiotic-free medium. Transfections were carried out using Lipofectamine 2000 (Invitrogen, USA) in accordance with the manufacturer’s instructions. To monitor transfection efficiency, fluorescein (FAM) siRNA (GenePharma) was used as control. Successfully transfected cells were observed with a fluorescence microscope.
siRNA cell transfection
According to the protocol supplied with the Lipofectamine 2000, the cells were transfected with either siRNA or control siRNA. siRNA-transfected cells were seeded into 6-well cell culture plates at a density of 1×105 cells/well. The cells were allowed to grow for an additional 24 h and were then harvested for further analysis.
Real-time PCR
Total RNA, including miRNAs, was isolated from prepared liver samples or cells with TRIzol reagent (Invitrogen) according to the manufacturer’s instructions. Expression of hsa-miR-183 was analyzed with the miScript System (Qiagen, USA), which consists of the miScript Reverse Transcription kit, miScript Primer assays and miScript SYBR-Green PCR kit, according to the protocol provided by the company. Small nuclear RNA U6 was used for normalization. For the analysis of B-cell-specific Moloney murine leukemia virus insertion site 1 (Bmi-1) expression, cDNA was synthesized using Moloney murine leukaemia virus reverse transcriptase (Epicentre, Paris, France) as described by the manufacturer. The housekeeping gene, glyceraldehyde 3-phosphate dehydrogenase (GAPDH), was used for normalization. The forward primer for Bmi-1 was 5′-GCTTCAAGATGGCCGCTTG-3′ and the reverse primer was 5′-TTCTCGTTGTTCGATGCATTTC-3′. The forward primer for GAPDH was 5′-GCACCGTCAAGGCTGAGAAC-3′ and the reverse primer was 5′-TGGTGAAGACGCCAGTGGA-3′. Real-time PCR was run on the ABI Prism 7700 Sequence Detector (Applied Biosystems, USA). All of the reactions were run in triplicate. The ΔΔCt method was used for relative quantification of gene expression to determine miR-183 and Bmi-1 mRNA expression levels.
Protein extraction and western blotting
The cells were lysed in lysis buffer [50 mmol/l Tris (pH 7.5), 100 mmol/l NaCl, 1 mmol/l EDTA, 0.5% NP40, 0.5% Triton X-100, 2.5 mmol/l sodium orthovanadate, 10 μl/ml protease inhibitor cocktail and 1 mmol/l PMSF] by incubating for 20 min at 4°C. The protein concentration was determined using the Bio-Rad assay system (Bio-Rad, Hercules, CA, USA). Total proteins were fractionated using SDS-PAGE and transferred onto nitrocellulose membranes. The membranes were blocked with 5% non-fat dried milk or bovine serum albumin in 1X TBS buffer containing 0.1% Tween-20 and then incubated with the appropriate primary antibodies. Horseradish peroxidase-conjugated anti-rabbit or anti-mouse IgG was used as the secondary antibody, and the protein bands were detected using the enhanced chemiluminescence detection system (Amersham Pharmacia Biotech). Quantification of the western blot analyses was performed using laser densitometry, and relative protein expression was then normalized to GAPDH levels.
Colony formation assay
Approximately 3×102 cells from each treated cell line were plated in 6-well dishes. After 2 weeks, cells were fixed with 20% methanol and stained with 1% crystal violet. Colonies consisting of >50 cells were counted per well, and each experiment was performed in triplicate.
Analysis of cell cycle
Both cell cycle distribution and spontaneous apoptosis events were detected using a FACSCalibur II sorter and Cell Quest FACS system (BD Biosciences, San Jose, CA, USA). To analyze cell cycle distribution, cells were synchronized using serum starvation for 24 h and stimulated with complete medium for 24 h before being harvested. Cells were fixed with 70% ethanol at 4°C overnight, washed twice with phosphate-buffered saline (PBS), and resuspended in staining solution (50 lg/ml propidium iodide, 1 mg/ml RNase A, 0.1% Triton X-100 in PBS) for 30 min at 37°C in the dark.
Cell growth assays
Cell growth was assessed using 3-(4,5-dimethylthiazol-2-y1)-2,5-diphenyltetrazolium bromide (MTT; Sigma) assays. Briefly, 2,000 cells/well were seeded into 96-well plates, and cell viability was assayed on days 1–4 following seeding. Absorption values were determined using an enzyme linked immunosorbent assay reader (Dasit, Milan, Italy) at 490 nm.
Statistical analysis
Correlations between categorical variables were analyzed using Pearson’s Chi-square, and two-tailed t-tests were used for continuous variables. Survival curves were plotted using the Kaplan-Meier method and were compared using the log-rank test. All statistical analyses were performed using the SPSS software package (SPSS, Chicago, IL, USA). A P-value <0.05 was considered to indicate a statistically significant result.
Results
Low expression of miR-183 is associated with clinical progression of PDAC
To investigate the clinical role of miR-183 during pancreatic carcinogenesis, we analyzed its expression level in PDAC and compared it with clinicopathological features of the patients with PDAC. As shown in Table I, low expression of miR-183 in PDAC was significantly associated with tumor grade, metastasis and TNM stage (P<0.05). These results revealed a correlation between miR-183 expression and PDAC invasion and proliferation. However, there was no correlation between the expression of miR-183 and the other clinical features such as gender and age (P>0.05 for all comparisons). Furthermore, Kaplan-Meier survival analysis demonstrated that patients harboring low expression of miR-183 had a significantly reduced overall survival when compared with patients with a high level of miR-183 expression (P<0.001, log-rank test; Fig. 1). These observations indicate that low expression of miR-183 is associated with PDAC clinical progression and may play a negative role in PDAC.
An inverse correlation exists between miR-183 and Bmi-1
To address the potential mechanism involved in the function of miR-183 in PDAC, we first examined the expression of miR-183 in the pancreatic non-tumor cell line, HPDE6c7, and in the PDAC cell lines, ASPC-1, SW1990, BXPC-3, CFPAC-1 and PANC-1 (Fig. 2). The results showed that, in the PDAC cells, the expression of miR-183 was lower than the level in the non-tumor cells. We also examined the expression of Bmi-1 in the pancreatic non-tumor cell line and the PDAC cell lines. The results revealed that, in the PDAC cell lines, the expression of Bmi-1 was higher than that in the non-tumor cells. These results indicate that an inverse correlation exists between miR-183 and Bmi-1.
miR-183 regulates the protein expression of Bmi-1
To further examine the relationship between miR-183 and Bmi-1, we treated the HPED6c7, CFPAC-1 and PANC-1 cells with miR-183 mimics or inhibitors. As shown in Fig. 3, we found that upregulation of miR-183 did not affect the mRNA expression of Bmi-1, but did decrease the protein expression of Bmi-1. In contrast, downregulation of the expression of miR-183 did not affect the mRNA expression of Bmi-1, but did increase the protein expression of Bmi-1. These results indicate that miR-183 has a negative regulatory effect on Bmi-1. Yet, it was unknown whether this negative regulation affects the function of cells. Thus, we carry out the subsequent experiment.
miR-183 regulates the function of cells via regulating Bmi-1
As known, Bmi-1 regulates the growth and proliferation of cells. To investigate whether miR-183 regulates the function of cells via regulation of Bmi-1, PANC-1 and CFPAC-1 cells, two cell lines with a low level of miR-183 and a high level of Bmi-1 expression, respectively, were treated with miR-183 mimics or inhibitors and/or Bmi-1 siRNA. Bmi-1 siRNA downregulated the expression of Bmi-1 (data not shown). We first examined the effect of the different treatments on cell viability using MTT assays. As shown in Fig. 4A and B, Bmi-1 depletion and upregulation of miR-183 significantly suppressed the growth of PANC-1 and CFPAC-1 cells compared with the control cells (P<0.05). In contrast, downregulation of miR-183 following downregulation of Bmi-1 had a slight influence on cell viability. This indicated that miR-183 may participate in cell growth via regulation of Bmi-1. Flow cytometric analysis showed that the cell cycle distribution of PANC-1 and CFPAC-1 cells was significantly affected following Bmi-1 depletion or upregulation of miR-183. As shown in Fig. 4C and D, there was a higher proportion of G0–G1 phase cells following Bmi-1 depletion or upregulation of miR-183 than in the control. A compensatory decrease in the S and G2/M phase proportions was also detected as compared with the control in the S and G2/M phases. Yet, downregulation of miR-183 following silencing of Bmi-1 had a slight influence. These results suggest that miR-183 can cause Bmi-1 silencing which inhibits the entry of cells into the S phase therefore suppressing cell growth. Colony formation analysis showed that following Bmi-1 depletion or upregulation of miR-183, the PANC-1 and CFPAC-1 cells had a greatly reduced capacity to form colonies compared with the control cells (Fig. 4E and F). Downregulation of miR-183 following silencing of Bmi-1 had a slight influence. Collectively, these data showed that a low level of miR-183 expression effectively suppresses the growth of PDAC cells via the regulation of Bmi-1. Furthermore, western blotting was performed to explore the cell cycle regulatory role of miR-183. Following Bmi-1 silencing or upregulation of miR-183, the expression levels of cyclin D1, cyclin dependent kinase (CDK)2 and CDK4 were decreased (Fig. 5).
Discussion
The results of the present study revealed that miR-183 contributes to PDAC cell growth and proliferation via regulation of Bmi-1. These results elucidate the potential mechanisms and further confirm the importance and complexity of miR-183 in PDAC. To the best of our knowledge, this report is the first to describe the correlation of the miR-183-Bmi-1 pathway with PDAC cell growth and proliferation.
MicroRNAs (miRNAs) are small RNAs processed from endogenous transcripts that function to mediate post-transcriptional silencing of complementary target genes. miRNAs are a class of small non-coding regulatory RNA molecules, with a profound impact on various biological processes (2,9,10). It has been reported that miRNAs are aberrantly expressed in most types of cancer where they are considered to play significant roles by regulating the expression of various tumor suppressors and oncogenes (11,12). miR-183 is a member of an miRNA family (miR-183, miR-182 and miR-96) that is clustered within 2–4 kb at chromosome 7q32. miRNAs from this locus are dysregulated in a variety of tumors such as hepatic and colorectal, as well as in leukemia, lung and breast cancer (6,13–15). miR-183 family members have been shown to be upregulated in colorectal and hepatic tumors, as well as in leukemia and breast cancer (6,13–15). In contrast, miR-183 has been shown to be downregulated and inversely correlated with invasive and metastatic abilities in pulmonary giant cell (8) and breast cancer (16). These studies demonstrated that the expression profiling of miR-183 was tissue-specific and that it may have divergent functions depending on the tumor tissue or cell type.
Our results indicated that low levels of miR-183 expression in PDAC tissues are correlated with tumor grade, metastasis and TNM stage, each of which is an indicator of advanced tumor status. These results strongly suggest that miR-183 plays a key role in the progression of human PDAC. Kaplan-Meier analysis of the survival curves from patients in the present study showed a significantly worse overall survival rate for patients whose tumors had low miR-183 expression levels (log-rank test, P<0.001), indicating that low levels of miR-183 may serve as a marker of poor prognosis for patients with PDAC. To identify the potential role of miR-183 in PDAC, we compared the miR-183 expression level in a pancreatic non-tumor cell line and in PDAC cell lines, respectively. The results showed that, in the PDAC cell lines, the expression of miR-183 was lower than that in the non-tumor cell line. These results were similar to the results noted in the PDAC tissues. This indicates that miR-183 is a tumor suppressor in PDAC.
Since the potential mechanism of miR-183 as a tumor suppressor in PDAC was unknown, we explored the potential mechanism. We focused on B-cell-specific Moloney murine leukemia virus insertion site 1 (Bmi-1). Bmi-1 has been predicted to be a common target of miR-183 (17). Bmi-1, a member of the Polycomb family of proteins, which suppress the transcription of their target genes via an epigenetic mechanism (18–20), was originally identified as an oncogene cooperating with c-Myc in a murine lymphomagenesis model (21). Subsequent research identified the essential role of Bmi-1 in embryonic development and the maintenance of self-renewal of both normal and malignant human mammary stem cells (22). Bmi-1 also regulates cellular processes including cell cycle progression, apoptosis and senescence as well as immortalization (23) and induces telomerase activity (24). In addition, there is accumulating evidence that Bmi-1 is overexpressed in a variety of human malignant neoplasms, such as melanoma (25) and HCC (26–28). Our previous study showed that Bmi-1 was overexpressed in PDAC cell lines and was associated with an unfavorable prognosis for patients with PDAC. When Bmi-1 was downregulated, cell growth was suppressed as a result of cell cycle arrest, and susceptibility to apoptosis was enhanced (29). Furthermore, Bmi-1 was found to be involved in tumor development and progression and is associated with a poor prognosis (30). For example, Bmi-1 expression is significantly correlated with nodal involvement, distant metastasis and clinical stage of colon and gastric cancers (31,32). Overexpression of Bmi-1 has been associated with the invasiveness of nasopharyngeal carcinomas and was found to be a predictor of poor survival (33). Inhibition of Bmi-1 leads to decreased invasion of cervical cancer cells (34). Taken together, these data strongly indicate that Bmi-1 contributes to the behavior of cancer cells. Our study revealed that Bmi-1 expression was inversely correlated with miR-183. Our findings also demonstrated that Bmi-1 silencing and upregulation of miR-183 had the same effect on cellular processes including cell cycle progression and growth. In contrast, downregulation of miR-183 following silencing of Bmi-1 had only a slight influence on cell cycle progression and growth. These data revealed that low levels of miR-183 expression effectively suppressed the growth of PDAC cells via regulation of Bmi-1. Furthermore, western blotting was performed to explore the cell cycle regulatory role of miR-183. Following Bmi-1 silencing or upregulation of miR-183, the expression of cyclin D1, cyclin-dependent kinase (CDK)2 and CDK4 were decreased. It is reasonable to conclude that alteration of miR-183 expression may regulate the function of cells by targeting the downregulation of Bmi-1 expression.
In the present study, we demonstrated that upregulation of miR-183 has a similar role with inhibition of Bmi-1 in regulating PDAC cellular processes including cell cycle progression and growth. To the best of our knowledge, this is the first in vitro study to regulate the progression of PDAC, by regulation of miR-183 to target the expression of Bmi-1 in PDAC cells. The findings of this study revealed that by downregulating the Bmi-1 expression level, miR-183 plays a suppressive role in cellular processes including cell cycle progression and growth of PDAC. Our study may provide an important avenue for further analysis in vivo with the aim to develop a new potential diagnostic and therapeutic target for the screening and treatment of PDAC. Further studies are required to fully understand the regulatory mechanisms of miR-183 and Bmi-1 in PDAC in vitro and in vivo.
Acknowledgements
This study was supported by grants from the National Natural Science Foundation of China (grant no. 81101820).
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