miR-34a and miR-15a/16 are co-regulated in non-small cell lung cancer and control cell cycle progression in a synergistic and Rb-dependent manner
© Bandi and Vassella; licensee BioMed Central Ltd. 2011
Received: 19 November 2010
Accepted: 16 May 2011
Published: 16 May 2011
microRNAs (miRNAs) are small non-coding RNAs that are frequently involved in carcinogenesis. Although many miRNAs form part of integrated networks, little information is available how they interact with each other to control cellular processes. miR-34a and miR-15a/16 are functionally related; they share common targets and control similar processes including G1-S cell cycle progression and apoptosis. The aim of this study was to investigate the combined action of miR-34a and miR-15a/16 in non-small cell lung cancer (NSCLC) cells.
NSCLC cells were transfected with miR-34a and miR-15a/16 mimics and analysed for cell cycle arrest and apoptosis by flow cytometry. Expression of retinoblastoma and cyclin E1 was manipulated to investigate the role of these proteins in miRNA-induced cell cycle arrest. Expression of miRNA targets was assessed by real-time PCR. To investigate if both miRNAs are co-regulated in NSCLC cells, tumour tissue and matched normal lung tissue from 23 patients were collected by laser capture microdissection and compared for the expression of these miRNAs by real-time PCR.
In the present study, we demonstrate that miR-34a and miR-15a/16 act synergistically to induce cell cycle arrest in a Rb-dependent manner. In contrast, no synergistic effect of these miRNAs was observed for apoptosis. The synergistic action on cell cycle arrest was not due to a more efficient down-regulation of targets common to both miRNAs. However, the synergistic effect was abrogated in cells in which cyclin E1, a target unique to miR-15a/16, was silenced by RNA interference. Thus, the synergistic effect was due to the fact that in concerted action both miRNAs are able to down-regulate more targets involved in cell cycle control than each miRNA alone. Both miRNAs were significantly co-regulated in adenocarcinomas of the lung suggesting a functional link between these miRNAs.
In concerted action miRNAs are able to potentiate their impact on G1-S progression. Thus the combination of miRNAs of the same network rather than individual miRNAs should be considered for assessing a biological response. Since miR-34a and miR-15a/16 are frequently down-regulated in the same tumour tissue, administrating a combination of both miRNAs may also potentiate their therapeutic impact.
Keywordscell cycle control microRNA non-small cell lung cancer retinoblastoma synergism
Lung cancer is the leading cause of cancer-related death in industrialized countries . Systemic treatment of lung cancer patients includes chemotherapy, inhibitors of angiogenesis and inhibitors of EGFR signaling. However, since the effect of these drugs is only transient, the overall five-year survival rate is less than 15%. Non-small cell lung carcinoma (NSCLC) accounts for 80% of lung cancer and is further subdivided into two major types, squamous cell carcinoma and adenocarcinoma . Squamous cell carcinoma usually arises from the major bronchi, whereas adenocarcinoma arises from distant airway bronchioles and alveoli. These tumours show frequent alterations of genes involved in cell cycle control or apoptosis including k-RAS, EGFR, c-Myc, cyclin D1 (CCND1), TP53, retinoblastoma (Rb), p16INK and Bcl2, but the relevant molecular mechanisms driving the aggressive biological behaviour of these tumours are largely unknown.
miRNAs are small regulatory RNA molecules at the post-transcriptional level and are implicated in a wide variety of biological processes including proliferation, differentiation and apoptosis . Notably, miRNAs form networks to regulate the expression of individual components of the cell cycle control machinery. Many of these miRNAs including the let-7 family , miR-34, miR-15a/16, miR-221/222[8, 9], miR-17-92, miR-107 and miR-185 are frequently dysregulated in lung cancer and therefore constitute promising targets for specific anticancer intervention (reviewed by Negrini et al. ).
Many miRNAs are implicated in cell cycle progression or apoptosis, but surprisingly little information is available if these miRNAs are able to interact with each other to co-ordinately regulate these cellular processes. In addition, it is poorly understood why miRNAs often share common targets despite the fact that they constitute a relatively small family of RNAs encoded by less than 1000 genes. In this study we have analysed two miRNAs, miR-15a/16 and miR-34, which are located at chromosomal regions 13q14 and 1p34, respectively. Although these miRNAs contain completely unrelated seed sequences, they are functionally related since they are both able to induce G1-G0 cell cycle arrest and apoptosis [7, 13–15]. In addition, they share common targets including CCND1, CDK4, CDK6, E2F3 and Bcl2. However, other targets also exist which are unique to miR-15a/16 (cyclin E1 (CCNE1), cyclin D2 (CCND2) or cyclin D3 (CCND3)) or miR-34a (c-Myc, n-Myc, and c-Met) [7, 16–18].
To investigate if these miRNAs are able to interact with each other for the regulation of cellular processes, they were overexpressed in NSCLC cell lines. Here we demonstrate that miR-15a/16 and miR-34 act synergistically to induce cell cycle arrest in a Rb-dependent manner. The synergistic effect can be explained by the fact that in concerted action, miRNAs are able to down-regulate more targets than each miRNA alone. Thus, it may be important to analyse miRNAs in a combinatorial mode as this may provide additional information on their role in specific cellular processes. Consistent with these findings, both miRNAs are frequently down-regulated in adenocarcinomas and squamous cell carcinomas of the lung. Our results suggest that targeting a combination of miRNAs involved in the same pathway may potentiate the therapeutic effect of each individual miRNA.
Materials and methods
Cell lines and culture conditions
The NSCLC cell lines A549, H2009, H1299 and H358 were obtained from the American Type Culture Collection, Rockville, MD. All cell lines were cultured in Iscove's modified Dulbecco's medium supplemented with 2 mM L-alanyl-L-glutamine, 1% penicillin/streptomycin and 5% foetal bovine serum (Sigma) at 37°C and 5% CO2.
Cells were seeded in culture flasks 24 h prior to transfection. Co-transfections with plasmid DNA were performed using Effectene reagent (Qiagen), all other transfections were performed using HiPerFect (Qiagen). If not otherwise specified, transfection was performed using 20 nM of hsa-pre-miR-34a, a mixture of 10 nM hsa-pre-miR-15a and 10 nM hsa-pre-miR-16 or 20 nM pre-miR miRNA precursor control 1 (Ambion). Si RNAs against Rb, or CCNE1 (siGENOME SMARTpool, Dharmacon) were used at 60 nM or 7.8 nM, respectively. Control transfections were performed using non-targeting Pool 2 (siGENOME). pCMV-Rb  or empty control plasmid were used at 125 ng/ml. Transfection efficiency of short RNAs and plasmid DNA was monitored using siGloGreen transfection indicator (Dharmacon) or an RFP-expression plasmid, respectively.
Cell cycle analysis and cell death assay
Cell cycle analysis was performed by flow cytometry essentially as described . For cell death analysis, floating and adherent cells were harvested, combined, washed with PBS and stained with 10 μg/ml propidium idode (Sigma). Apoptotic cells were detected using an antibody directed against cleaved caspase 3 (clone 5A1E, 1:100, Cell Signaling) as described . Cells were analysed using an LSR II flow cytometer (BD Biosciences) and FlowJo 8.8.4 software (Tree Star). As a positive control, cells were treated with UV (400 mJ) using a UV Stratalinker 1800 (Stratagene).
RNA isolation and real-time PCR
Total RNA was extracted from cultured cells using the miRVana RNA isolation kit according to the manufacturer's instructions (Ambion). TaqMan miRNA assays (Applied Biosystems) were performed as described  using a Real-Time PCR system 7500 (Applied Biosystems). miRNA levels were normalized to the level obtained for RNU48. Quantification of Bcl2 was done using a TaqMan assay (Applied Biosystems); all other mRNAs were quantified using Quantitec primer assays (Qiagen). mRNA levels were normalized to the level obtained for GAPDH. Changes in expression were calculated using the ΔΔCt method.
Western blot analysis
Western blot analysis was performed as described . Monoclonal antibodies against Rb (clone 3C8, QED Bioscience) and phospho-Rb (Ser807/811, Cell Signaling) were diluted 1:1000, monoclonal antibody against Bcl2 (clone 124, Dako) was diluted 1:300, and monoclonal antibody against α-tubulin (clone B512, Sigma) was diluted 1:5000. Secondary goat anti-mouse-HRP and goat anti-rabbit-HRP antibodies (Biorad) were used at 1:5000 or 1:7000, respectively.
Laser capture microdissection
Formalin-fixed paraffin-embedded tissues from 11 adenocarcinomas and 12 squamous cell carcinomas were used for miRNA expression analysis. Tumour tissues and corresponding normal tissues from bronchiolar or alveolar epithelium, respectively, was collected by laser capture microdissection as described previously . Stroma components including connective tissues, inflammatory cells and blood vessels were excluded. Nucleic acids were subjected to a heat-treatment in order to remove methylol groups introduced during formalin fixation and subjected to real-time PCR as described . All experiments using human specimens were done according to the ethical guidelines of the Institute of Pathology, University of Bern, and were reviewed by the institutional review board.
Statistical analyses were performed using the GraphPAD prism software. Statistical differences were calculated using unpaired two-tailed student's t-test. A probability of p ≤ 0.05 was considered statistically significant. Statistical significance of correlation was assessed by the Pearson test.
miR-15a/16 and miR-34a are co-regulated in adenocarcinomas of the lung
Co-repression of miRNAs may be due to defects in miRNA processing. Notably, reduced expression of Dicer has been detected in NSCLC . To address this possibility, the same tumour tissues were analysed for the expression of miR-21, which is frequently up-regulated in lung cancer [22, 23]. As shown in Figure 1B, miR-21 was up-regulated or expressed at normal levels in 9 of 11 adenocarcinomas and 7 of 12 squamous cell carcinomas. Thus, abrogation of miRNA processing may only account for a small subgroup of NSCLC samples.
We next investigated the possibility that both miRNAs are linked because they are able to mutually regulate their expression. To this end, miR-15a/16 or miR-34a were overexpressed by transfection with miRNA precursors (pre-miRNA) in a Rb-deficient NSCLC cell line, H2009, and analysed for the expression of the miRNA counterpart. Since H2009 is refractory to cell cycle arrest induced by miR-15a/16 and miR-34a (see below), secondary effects on miRNA expression as a consequence of the G1-G0 arrest can be excluded using this cell line. However, neither miR-15a/16 nor miR-34a was able to affect the expression of its counterpart, while CDK6 mRNA, a target common to both miRNAs, was significantly down-regulated (Figure 1C).
miR-34a-induced cell cycle arrest depends on the expression of Rb
One miRNA can affect the expression of hundreds of proteins , which often renders it difficult to identify the relevant targets. We have previously shown that miR-15a/16-induced cell cycle arrest depends on the expression of Rb. This indicates that components of the cell cycle machinery upstream of Rb, including cyclin D1 (CCND1), cyclin D3 (CCND3), CDK4 and CDK6[7, 25, 26], are the most relevant targets of miR-15a/16. To investigate if miR15a/16 and miR-34a share redundant functions, miR-34a was analysed using the same set of experiments as we have described previously for miR-15a/16.
miR-15a/16 and miR-34a act synergistically to induce arrest in G1-G0
Both pre-miRNAs displayed saturation for cell cycle arrest at a concentration of 20 nM (data not shown). Interestingly, a synergistic effect was also obtained at this concentration: cells transfected with 20 nM pre-miR-15a/16 or 20 nM pre-miR-34a in each case gave rise to a G1-G0 arrest in about 37% of the population. In contrast, co-transfection of cells with both pre-miRNAs at half the concentration (10 nM each) resulted in a G1-G0 arrest in 54.6 ± 2.2% of the population (Figure 4B, 24 h), p < 0.0005. The synergistic effect was observed 24 h and 48 h post-transfection (Figure 4B).
No synergistic action on cell death
Combined action of miR-15a/16 and miR-34a on the stability of individual mRNA targets
Interestingly, transfection of H2009 cells with miR-34a or miR-15a/16, or co-transfection of H2009 cells with a mixture of both pre-miRNAs at half the concentration gave rise to comparable dose-response curves for all the three target genes (Figure 6A). From these results we may conclude that miR-15a/16 and miR-34a act in an additive rather than in a synergistic manner on individual mRNAs. Comparable results were obtained in H2009 and A549 cells excluding the possibility that the concerted action on individual mRNA targets depends on the expression of Rb (data not shown).
The synergistic action of miR-15a/16 and miR-34a is due to the down-regulation of additional genes involved in G1 progression
Although miR-15a/16 and miR-34a share many common targets, other targets exist which are unique to miR-15a/16 or miR-34a (Additional file 2). Since no synergistic effect was observed for individual mRNA targets, we hypothesized that the observed effect may be due to the fact that more targets involved in G1-S progression are repressed by the combined action of both miRNAs. Target specificity was re-evaluated using the cell line H2009, which is refractory to miRNA-induced arrest. In agreement with reports from the literature [7, 16], down-regulation of c-Met mRNA was specific for miR-34a, whereas down-regulation of CCND3 and CCNE1 mRNAs were specific for miR-15a/16 (Figure 6B and Additional file 2). In contrast, CCNE2 mRNA, which contains a target site for miR-34a, and CCNA1 mRNA, which contains no target site, were virtually unaffected.
Cell cycle progression critically depends on numerous regulatory processes which are often deregulated in cancer (reviewed by Evan et al. ). miRNAs contribute to the complexity of cell cycle control by interfering with a variety of different components of the cell cycle machinery allowing the coordinated regulation of gene expression at the post-transcriptional level (reviewed by Bueno et al.  and Carleton et al. ).
miR-15a/16 and miR-34a share overlapping functions. They both induce cell cycle arrest in G1-G0 and share common targets including CCND1, CDK4 and CDK6. In addition, the ability of either one of these miRNAs to induce cell cycle arrest in G1-G0 largely depends on the expression of Rb (Figure 3 and ref. ). Cyclin D in complexes with CDK4 or CDK6, and cyclin E in a complex with CDK2 regulate progression through the G1-S boundary of the cell cycle. These complexes phosphorylate and thereby prevent Rb from binding to E2F, which on release, drives cells from G1 to S phase (reviewed by Morgan et al. ). From these results we may conclude that functionally relevant targets of either type of miRNA must be upstream of Rb. These include CCNE1 and CCND3, which are unique to miR-15a/16, c-Myc and c-Met, which are unique to miR-34a and CCND1, CDK4 and CDK6, which are common to both miRNAs. With the exception of CDK4 and c-Myc, all these genes are confirmed targets of miR-15a/16 and miR-34a in NSCLC cells [7, 14, 16, 26]. In contrast, experimentally validated targets downstream of Rb including E2F1, E2F2, E2F3, E2F7, WEE1, CHK1 and CARD10 [25, 32, 33] seem to be less relevant for the regulation of cell cycle progression by miR-15a/16 or miR-34a, at least in NSCLC cells.
The finding that both miRNAs share highly related functions is further illustrated by the fact that both miRNAs are co-regulated in all adenocarcinoma samples. In the majority of NSCLC cases, both miRNAs are significantly down-regulated indicating that they play an important role as tumour suppressor. Tumours can escape the concerted action of miR-15a/16 and miR-34a by down-regulation of both miRNAs or, alternatively, by down-regulation of Rb. Mechanisms which may lead to dysregulation of miR-15a/16 or miR-34a in cancer include deletion of the respective miRNA loci [7, 34], defects in miRNA processing , altered promoter methylation , or altered expression of transcriptional regulators [36–38]. Defects in miRNA processing may account for only a subgroup of NSCLC, since the majority of tumours either expressed normal or high levels of miR-21. p53 is a potent transactivator of miR-34a[39, 40], and is implicated in the processing of miR-16. However, no correlation was observed between the mutation status of p53 and the expression level of miR-34a  or miR-15a/16. In addition, the possibility that both miRNAs are able to mutually regulate their expression can be excluded (Figure 1C). Thus, it rather seems that several independent mechanisms may account for the dysregulation of miR-15a/16 and miR-34a in NSCLC.
Why is there a relatively high degree of redundancy between miRNAs? To address this question we co-transfected cells with miR-15a/16 and miR-34a and demonstrated that both miRNAs act synergistically to induce cell cycle arrest in G1-G0. In contrast, the concerted action of these miRNAs on common mRNA targets was additive rather than synergistic. Thus, there seems to be little interference in binding of these miRNAs to the same target molecule and each miRNA contributes to the mRNA stability in an independent manner. The synergistic effect can rather be explained by the fact that in addition to their targets common to both miRNAs they are also able to bind to targets unique to either type of miRNA. Thus, in a combinatorial mode, both miRNAs are able to down-regulate more targets than each miRNA alone. This is based on the finding that knocking down CCNE1, a target unique to miR-15a/16, by RNA interference, abrogated the synergistic effect exerted by the combination of both miRNAs (Figure 7). These effects were not cell-line-specific, since comparable results were obtained with A549 and H1299 cells. This model is in agreement with our results that miR-34a and miR-15a/16 acted synergistically under both saturating and non-saturating conditions. In contrast, if the synergistic effect of these miRNAs were due to a more efficient repression of individual targets, we would expect such an effect to occur only under non-saturating conditions. miRNAs exert fine-tuning regulatory functions, in most cases leading only to a modest repression of target mRNAs and proteins . Our results suggest that miRNAs can potentiate their impact on the regulation of cellular processes by acting in a combinatorial mode.
Surprisingly, we were unable to detect any synergistic effect on apoptosis. Although both miRNAs are able to target Bcl2, only miR-34a was able to induce apoptosis. This may be due to quantitative differences in their ability to down-regulate Bcl2. Alternatively, other anti-apoptotic genes besides Bcl2, which are targeted by miR-34a, but not miR-15a/16, may have to be down-regulated in order apoptosis can occur. It is noteworthy, however, that the observed effects may depend on the cell system as miR-15a/16 was able to induce apoptosis in CLL .
There are only few examples of miRNAs in the literature that act in a synergistic manner. Ivanosvska and Cleary were the first to investigate the concerted action of miR-16 and miR-34a on cell cycle arrest. However, based on their results it was not clear if both miRNAs acted in an additive or synergistic manner . miR-84 and let-7 promote terminal differentiation of the hypodermis and cessation of molting in C. elegans in a synergistic manner . However, miR-84 and let-7 share identical seed sequences, suggesting that they regulate the same set of target genes. In addition, pairs of a cytomegalovirus derived miRNA and a host cell derived miRNA acted on the same gene (MICB) through site proximity in a synergistic manner . Thus different mechanisms may exist that may lead to a synergistic action of miRNAs.
Therapeutic strategies for the treatment of human cancer based on modulation of miRNA activity in cancer tissues have gained much attention in the past few years [12, 45–49]. In a recent publication, a new formulation is described that allows the reintroduction of miRNAs, depleted in cancer cells, in order to reactivate cellular pathways that drive a therapeutic response . The authors demonstrated that formulated miR-34a blocked tumour growth in a mouse model of NSCLC. Our results suggest that administering formulated miR-34a in combination with formulated miR-15a/16 may lead to a significant increase in the therapeutic impact. This strategy may be particularly effective for the treatment of NSCLC, since both types of miRNAs are normally down-regulated in this class of tumours.
It is generally agreed that miRNAs form part of networks to control cellular processes. Currently, the miRNA field is focused primarily on the identification of novel targets of individual miRNAs, but little information is available how miRNAs act in a combinatorial mode. We show that miR-34a and miR-15a/16 act together to control cell cycle progression in a synergistic and Rb-dependent manner. From these results we may conclude that the combination of miRNAs, which form part of the same network, rather than individual miRNAs should be considered for assessing a biological response. In addition, our study may have translational implications. Since both miRNAs are significantly down-regulated in the majority of adenocarcinomas, administering a combination of both miRNAs may potentiate the therapeutic impact of each individual miRNA.
We thank Thomas Brunner for helpful discussions and critical reading of the manuscript.
This work was supported by a grant from the Swiss National Science Foundation to EV.
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