Abstract
Depending on the function of their target genes, microRNAs (miRNAs) act as either tumor suppressors or oncogenes. Therefore, miRNAs represent a novel therapeutic strategy for prevention and management of cancer by targeting of onco-miRNAs or mimicking of tumor suppressor miRNAs. Herein, we identified novel tumor suppressor miRNAs and investigated their molecular mechanisms. To identify novel tumor suppressor miRNAs, we used 532 human miRNA mimic libraries and measured cell viability using MTS assays. The function of miR-4779 was then analyzed using cell cycle analyses and apoptosis, colony forming, and soft agar assays. Target genes of miR-4779 were predicted using TargetScan and miRDB databases and were confirmed using luciferase assays. Levels of miR-4779 and target genes in colon cancer tissue samples from patients were evaluated using qRT-PCR and western blotting analyses. Finally, in vivo tumor suppressive effects of miR-4779 were evaluated in HCT116 xenografts. In this study, miR-4779 inhibited cancer cell growth by inducing apoptosis and cell cycle arrest, and the putative survival factors PAK2 and CCND3 were identified as direct targets of miR-4779. In subsequent experiments, PAK2 knockdown induced cell cycle arrest and CCND3 knockdown induced cell cycle arrest and apoptosis. In addition, miR-4779 suppressed tumor growth and tumorigenesis in an in vivo HCT116 xenograft model. Finally, miR-4779 expression was low in 9 of 10 colon cancer tissues, whereas PAK2 and CCND3 expressions were significantly high in colon cancer tissues. The novel tumor suppressor miR-4779 inhibits cancer cell growth via cell cycle arrest and apoptosis by directly targeting PAK2 and CCND3. The present data indicate the potential of miR-4779 as a therapeutic target for miRNA-based cancer therapy.
Introduction
MicroRNAs (miRNAs) are a class of endogenous, small non-coding RNA molecules that bind to 3′-untranslated regions (3′UTR) of target genes and block translation, leading to target mRNA degradation and inhibited expression of various target genes1. By targeting multiple transcripts, miRNAs are involved in diverse biological processes, including proliferation, development, differentiation, and apoptosis. Moreover, because they control biological processes that are implicated in carcinogenesis, miRNAs have been linked to cancer development2–4. Depending on targeted genes, miRNAs can be considered as tumor suppressors or oncogenes5–7. Aberrant expression of miRNAs has been shown in various types of cancer, including breast, lung, prostate, and colon cancers8–11. Therefore, miRNAs represent a novel therapeutic strategy for the prevention and management of cancer, involving targeting of onco-miRNAs or mimicking of tumor suppressor miRNAs.
Growing evidence shows that tumor suppressor miRNAs can be used as effective cancer therapies because they are often downregulated in cancer tissues. For example, miR-34a is a well-defined tumor suppressor miRNA that regulates the p53 pathway and inhibits cancer cell growth by directly targeting oncogenes such as Myc, c-Met, Bcl-2, CDK4, CDK6, cyclin D1, and cyclin E112,13. Moreover, miR-34a is downregulated in numerous cancers and is known as a master tumor suppressor because of its broad anti-oncogenic activity. Hence, miR-34a could be exploited using novel anticancer drugs effective against heterogeneous tumors14. Accordingly, a current clinical trial of the miR-34 mimic MRX34 is being conducted in primary liver cancer, lymphoma, melanoma, multiple myeloma, renal cell carcinoma, small cell lung carcinoma, and non-small cell lung carcinoma (Mirna Therapeutics, Austin, TX, NCT01829971).
Numerous novel miRNAs have been identified after their initial discovery, and in January 2017, 2588 mature human miRNA sequences had been deposited in the central repository of miRNA sequences miRBase (release 21). Therefore, intensive screening of newly discovered miRNAs is required to identify effective tumor suppressor miRNAs. Herein, we screened a miRNA library and identified miR-4779 as a novel tumor suppressor, and elucidated the mechanisms by which miR-4779 suppresses cancer cell growth. Specifically, we investigated the role of miR-4779 in colon cancer and identified direct target genes that are involved in apoptosis and cell cycle arrest. Finally, we showed that miR-4779 negatively regulates the expression of the oncogenes PAK2 and CCND3, further suggesting that miR-4779 acts as a tumor suppressor.
Results
Screening of tumor suppressive miRNAs
To identify novel tumor suppressor miRNAs, we used 532 miRNA mimic libraries (Supplementary Table 1) that included the most recently discovered miRNAs with currently unknown functions. In our initial screening, 532 miRNAs were transfected into HCT116 colon cancer cells and the cell viability was determined using MTS assays. In further experiments, we chose the 30 miRNAs with the highest anti-proliferative effects in HCT116 cells (Supplementary Fig. 1) and determined their effects on cell viability in A549 and H460 lung cancer cells, MCF-7 breast cancer cells, and HT-29 colon cancer cells (Supplementary Fig. 2). The resulting data show differential effects of these 30 miRNAs on the viability of various cancer cells. Among the 30 miRNAs, miR-4779 significantly inhibited cell viability in all cancer cells and was selected for further studies.
miR-4779 inhibits tumor cell growth by inducing apoptosis and cell cycle arrest
To confirm the role of miR-4779 as a tumor suppressor, we analyzed cell viability (Fig. 1a), morphology (Fig. 1b), cell cycle stages (Fig. 1c), and apoptotic cell populations (Fig. 1d). Cell viability was significantly decreased by 74% in miR-4779-transfected cells compared with miR-NC-transfected cells (Fig. 1a–b). Cell cycle analyses showed that miR-4779 increased numbers of cells in the subG1 population and subsequently caused apoptosis (Fig. 1c). Increased apoptotic cell populations were also observed among miR-4779-transfected cells, with >2.5-fold increases in apoptotic cell numbers than that among miR-NC-transfected cells (Fig. 1d). These results clearly suggest that miR-4779 exerts tumor suppressive effects by inducing cell cycle arrest at the G1 phase and apoptosis. In addition, miR-4779-induced apoptosis was accompanied by caspase-7 activation and PARP cleavage (Fig. 1e) and the pro-apoptotic proteins Bax and Bad were induced by miR-4779 without changes in the levels of anti-apoptotic proteins such as survivin. Anti-apoptotic proteins and oncogenes such as XIAP, Mcl-1, Livin, and c-Myc, were also slightly or significantly decreased in miR-4779 expressing cells (Fig. 1e). These results indicate that miR-4779 promotes apoptosis by downregulating Mcl-1, Livin, and c-Myc, and inducing the accumulation of Bax and Bad. Furthermore, following transfection with miR-4779, PARP cleavage and cell death or cell growth inhibition were observed in various cancer cells (Supplementary Fig. 3).
To specifically identify the cell cycle regulators that mediate G1 arrest after induction by miR-4779, we performed Western blot analysis using antibodies against cyclins, cyclin dependent kinases (CDKs), and CDK inhibitors. Key regulators of G1 progression include the D-type cyclins Dl, D2, and D3, which assemble into holoenzymes with either CDK4 or CDK6, and cyclin E, which binds CDK2 during the late G1 phase. Cyclin D-CDK4/6 and cyclin E-CDK2 complexes phosphorylate the retinoblastoma (Rb) protein to induce cell cycle progression from G1 to S phases. CDK inhibitors such as p27Kip1, p21Cip1, and members of the INK4 family (p16INK4A, p15INK4B, p18INK4C, and p19INK4D) can bind cyclin D-CDK4/6 or cyclin E-CDK2 complexes and inhibit their CDK activity, leading to G1 arrest. As shown in Fig. 1e, cyclin D1, cyclin D3, and CDK4 levels were markedly decreased in miR-4779-transfected cells compared with miR-NC-transfected cells, whereas no changes in CDK6 levels were observed. Cyclin E1 and cyclin E2 expression levels were also significantly increased, whereas CDK2 expression was significantly decreased. In addition, following transfection with miR-4779, phospho-Rb (S870) protein levels were decreased without changes in the expression of the Rb protein. Moreover, the CDK inhibitor p27Kip1 was significantly induced, and the other CDK inhibitors p18INK4C and p21Cip1 had slightly and significantly decreased expression, respectively (Fig. 1e). The protein p27Kip1 acts as a critical negative regulator of the cell cycle by inhibiting the activity of cyclin/CDK complexes during G0 and G1 phases. Therefore, the present observations indicate that miR-4779 downregulates CDK2, CDK4, cyclin D1, and cyclin D3, and induces p27Kip1 accumulation, leading to inhibition of Rb phosphorylation and G1 arrest.
miR-4779 inhibits clonogenic survival and anchorage-independent tumor growth
To evaluate the effects of miR-4779 on in vitro tumorigenesis, we measured clonogenic survival of miR-4779-transfected cells in colony-forming assays (Fig. 1f) and assessed anchorage-independent growth in soft agar assays (Fig. 1g). Clonogenic survival and anchorage-independent growth were significantly less in miR-4779-transfected cells than in miR-NC-transfected cells, with 3- and 5-fold differences, respectively (Fig. 1f, g). These results show that miR-4779 inhibits clonogenic survival and anchorage-independent growth of tumor cells, suggesting that miR-4779 plays a crucial role in tumorigenesis.
miR-4779 directly targets to PAK2 and CCND3
To investigate tumor suppressive mechanisms of miR-4779, candidate miR-4779 target genes of were analyzed using the miRNA target prediction programs TargetScan (http://www.targetscan.org) and miRDB (http://mirdb.org/miRDB). These computations revealed two and one putative miR-4779 binding sites in the 3′UTR of p21-activated kinase 2 (PAK2) and cyclin D3 (CCND3) mRNAs, respectively (Supplementary Fig. 4). Previous studies show that PAK2 promotes cancer cell survival and is overexpressed in various cancers. Similarly, cyclin D3 is critical for cancer cell growth, proliferation, and development, and is highly expressed in many human cancers.
To determine whether miR-4779 represses these putative targets, HCT116 cells were transfected with miR-4779 and mRNA and protein levels of target genes were assessed using qRT-PCR and western blotting analyses, respectively (Fig. 2a–c). Increased miR-4779 expression significantly decreased PAK2 and CCND3 mRNA expression in HCT116 cells (Fig. 2a), and PAK2 and CCND3 protein levels were correspondingly lower than in miR-NC-transfected cells (Fig. 2c). The efficiency of miR-4779 transfection was checked by qRT-PCR (Fig. 2b). Additionally, transfection with miR-4779 led to significant reductions in PAK2 and CCND3 protein expression levels in A549, H460, MCF7, and HT-29 cancer cell lines (Fig. 2c). These data indicate that miR-4779 negatively regulates PAK2 and CCND3 at both transcriptional and translational levels in various cancer cells.
To determine whether miR-4779 directly targets PAK2, we performed target predictions using TargetScan and found two putative binding sites (position of 894–900 and 2106–2112) in the 3′UTR that are conserved in primates (Supplementary Fig. 4a). As shown Fig. 2d, two PAK2 3′UTR fragments (PAK2 3′UTR-1 and PAK2 3′UTR-2) containing wild-type or mutant sequences were cloned into the pGL3-luc vector downstream of the firefly luciferase reporter gene. Luciferase activities of both wild type and mutant PAK2 3′UTR-1 constructs were decreased by 25% in miR-4779-transfected cells compared with miR-NC-transfected cells (Fig. 2f). Moreover, whereas the luciferase activity of the PAK2 3′UTR-2 wild-type construct was decreased by 35% in miR-4779-transfected cells, that of the PAK2 3′UTR-2 mutant construct was not suppressed in comparison with miR-NC-transfected cells (Fig. 2f). These results indicate that miR-4779 directly binds to the PAK2 3′UTR-2 but not to the PAK2 3′UTR-1. CCND3 is another potential target of miR-4779 that contains one miR-4779 target site (position of 795–801) in its 3′UTR, which is broadly conserved among mammals (Supplementary Fig. 4b). After cloning CCND3 3′UTR fragments containing wild-type or mutant miR-4779 binding sequences into the pGL3-luc vector downstream of the firefly luciferase reporter gene (Fig. 2e), luciferase activity of the reporter containing the CCND3 3′UTR was suppressed by 30% following transfection with miR-4779 (Fig. 2f). However, luciferase activities of the mutant reporter construct were not repressed (Fig. 2f). These results indicating that miR-4779 targets PAK2 and CCND3 directly.
PAK2 and CCND3 expression and tumor cell growth are not suppressed by an inhibitor of miR-4779
To further characterize the suppressive effects of miR-4779 on PAK2 and CCND3 expression, we blocked the function of endogenous miR-4779 using antisense oligonucleotides (miR-4779 inhibitor). Under these conditions, PAK2 and CCND3 protein and mRNA levels were not suppressed by miR-4779 inhibitor (Fig. 3a, b), and CCND3 expression levels were slightly increased. In agreement, cell viability, apoptosis, clonogenic survival, and anchorage-independent cell growth were not significantly affected in the presence of the miR-4779 inhibitor compared with those in the presence of the miR-NC inhibitor (Fig. 3c and Supplementary Fig. 5). Moreover, miR-4779 mediated induction of p27Kip1, Bax, and Bad as well as c-Myc downregulation were suppressed by the miR-4779 inhibitor (Fig. 3b), and in contrast with the miR-4779 mimic, the miR-4779 inhibitor downregulated p27Kip1 and Bax and upregulated c-Myc. These results show that miR-4779 inhibitor blocks the function of endogenous miR-4779, although these effects were limited by low endogenous miR-4779 levels in HCT116 cells.
miR-4779 expression and cell viability by miR-4779 inhibitor are higher in normal cell lines than cancer cell lines
To test the possibility of miR-4779 as a tumor suppressor, we compared miR-4779 expression between cancer and normal cell lines from the same tissue of origin. The human normal colon fibroblast cell line CCD-18Co exhibited significantly higher miR-4779 expression than the colon cancer cell line HCT116. In addition, the human normal lung epithelial cell line BEAS-2B expressed higher levels of miR-4779 than the lung cancer cell line A549 (Fig. 3d). Next, we examined whether miR-4779 affects the cell viability of normal cells. We found that the cell viability of CCD-18Co and BEAS-2B cells was higher than that of cancer cells when exposed to miR-4779 mimics (Fig. 3e). We then examined the effect of inhibition of endogenous miR-4779 activity on the cell viability of miR-4779-high normal cell lines. Transfection with a miR-4779 inhibitor significantly enhanced the cell viability of both CCD-18Co and BEAS-2B cells compared with that with a miR-NC inhibitor (Fig. 3e). The transfection efficiency of miR-4779 in CCD-18Co and BEAS-2B cells was checked by qRT-PCR (Fig. 3f). These results suggest that miR-4779 is more effective as a tumor suppressor in cancer cells than normal cells.
Knockdown of PAK2 or CCND3 inhibits tumor cell growth
To determine whether miR-4779 inhibits cell growth by targeting PAK2 or CCND3 encoding genes, we performed RNA interference (RNAi) experiments. PAK2 and CCND3 knockdown was confirmed in qRT-PCR and Western blotting analyses, which showed marked reductions in mRNA and protein levels (Fig. 4a–e). PAK2 and CCND3 knockdown suppressed cell viability by 52% and 76%, respectively (Fig. 4b). Accordingly, clonogenic survival and anchorage-dependent growth were moderately and highly decreased by si-PAK2 and si-CCND3, respectively (Fig. 4f, g), indicating that miR-4779 inhibits cell growth by targeting both PAK2 and CCND3. These effects were confirmed in investigations of cell cycle arrest and apoptosis, in which si-PAK2 induced cell cycle arrest at G1 and G2/M phases but did not induce apoptosis, and si-CCND3 induced cell cycle arrest at the G1 phase, leading to increased numbers of apoptotic cells and increased caspase-7 activation and PARP cleavage (Fig. 4c–e). Moreover, significant p27Kip1 accumulation was observed in the presence of si-PAK2 or si-CCND3 (Fig. 4e). These data further show that miR-4779 induces cell cycle arrest by targeting PAK2 and CCND3, leading to accumulation of p27Kip1 and increased apoptosis.
miR-4779 inhibits tumor growth in a mouse xenograft models
To determine in vivo tumor suppressive effects of miR-4779, we increased miR-4779 expression in tumor cells of mouse xenografts using two experimental approaches. Initially, we injected miR-4779 or miR-NC in complex with an in vivo transfection agent into established HCT116 tumor xenografts. After three injections of miR-4779 at 3-day intervals, tumor growth was significantly lower than that following injection of miR-NC (Fig. 5a–d). In subsequent experiments, HCT116 cells were transfected with miR-4779 or miR-NC before subcutaneous implantation and were then established as xenograft tumors. In agreement with in situ tumor transfection experiments, miR-4779 expressing tumors grew significantly more slowly than miR-NC expressing tumors (Fig. 5e–h). In addition, western blot analysis revealed that both PAK2 and cyclin D3 were downregulated in the miR-4779 expressed tumors (Fig. 5d–h). Taken together, these results clearly demonstrate that miR-4779 functions as a tumor suppressor in vivo, and suggest high potential for application as an anticancer therapy.
Level of miR-4779 is low in colon cancer tissues, whereas PAK2 and CCND3 were highly expressed
To validate the clinical relevance of miR-4779 as a tumor suppressor, we determined miR-4779 expression and its target proteins in tumors and adjacent normal tissues from colon cancer patients. In these experiments, tissue lysates and small RNA samples were prepared from 10 pairs of frozen normal and tumor tissues, and the expression of mature miR-4779 was determined using qRT-PCR. These analyses showed higher miR-4779 expression in normal tissues than in tumor tissues, with >2.5-fold differences in 5 of 10 pairs. In 9 of 10 tumors, miR-4779 levels were exceedingly low (Fig. 6a). Accordingly, PAK2 and CCND3 expression levels were markedly higher in tumor tissues than in normal tissues (Fig. 6b). Taken together, these data suggest that miR-4779 mimics have therapeutic potential as an anticancer therapy.
Discussion
In this study, we performed functional screening analyses of 532 miRNA mimic libraries as a strategy for discovering novel miRNAs that suppress cancer cell growth. These analyses revealed 30 miRNAs that inhibit the growth of HCT116 cells, and these were more effective than the previously described miR-34a14. Among these miRNAS, we identified and characterized miR-4779 as a novel tumor suppressive miRNA that induces apoptosis and cell cycle arrest in cancer cells and then assessed its potential as a candidate anticancer therapy. Mature miR-4779 was previously identified in breast cancers15 and was co-localized with Transcription Factor 7 Like 1 (TCF7L1) within the same common fragile sites, which are vulnerable structural domains that may be functionally sensitive to replication stress16.
In the present study, miR-4779 effectively inhibited the growth of HCT116 cells and other cancer cell lines. Thus, to explore the related molecular mechanisms, we predicted miR-4779 target genes using TargetScan and miRDB databases and identified two targets that were responsible for apoptosis inducing and growth inhibiting actions of miR-4779. The first of these, PAK2, is a serine/threonine protein kinase with reported physiological roles in motility, survival, mitosis, and apoptosis17. Proteins of the PAK family were initially identified as binding partners of the Rho GTPases Cdc42 and Rac118 and are well-known regulators of cytoskeletal remodeling and cell motility19. Accumulating evidence indicates that PAK2 overexpression is correlated with disease progression in human cancers20–22. Moreover, alterations in PAK expression have been detected in human tumors, suggesting that PAK could be an attractive new therapeutic target23–25 and that direct PAK2 downregulation by miR-4779 induces cell cycle arrest. Accordingly, knockdown of PAK2 induced cell cycle arrest at the G1 phase and caused p27Kip1 accumulation (Fig. 4c–e). In a previous study, two miRNAs were shown to directly target PAK2, and among these, miR-137 inhibited proliferation in melanoma cells26. In addition, miR-134 was shown to mediate Bad phosphorylation, and affected cell survival and apoptosis by targeting PAK2 in ovarian-cancer cells27. In agreement, repression of miR-134 and consequent upregulation of PAK2 contributed to paclitaxel resistance in these ovarian cancer cells27. Activation of full-length PAK2 promotes cell survival through the phosphorylation of Bad28, whereas proteolytic activation of PAK2 p34 leads to apoptosis29. The present findings show that neither treatment with a miR-4779 mimic nor PAK2 knockdown decreased Bad phosphorylation levels in HCT116 cells (Supplementary Fig. 6). Elevated PAK2 activity reportedly interrupts apoptotic responses, causes anchorage-independent survival and growth, and leads to resistance of breast cancer cells to drug-induced apoptosis30. Moreover, PAK2 was shown to inhibit chemotherapeutic drug-induced apoptosis by phosphorylating caspase-7 in breast cancer cells31. Hence, PAK2 downregulation by miR-4779 may inhibit chemo-resistance in various cancers, although further studies are required to confirm the clinical efficacy of miR-4779 mimics.
In the present experiments, miR-4779 induced cell cycle arrest and apoptosis by directly targeting cyclin D3. Key regulators of G1 progression include cyclins D1, D2, and D3, which form complexes with CDK4 or CDK6 and induce hyper-phosphorylation of the Rb protein. Phosphorylation of Rb is required for cell cycle progression from G1 to S phases32 and cyclin D is frequently deregulated in cancer and is considered a biomarker of cancer phenotypes and disease progression33. CCND3 is reportedly expressed at high levels in most human cancers, including colorectal cancer (CRC)34. Herein, CCND3 and phospho-Rb were downregulated in miR-4779 transfected HCT116 cells (Figs. 1e and 2c). Furthermore, CCND3 knockdown in HCT116 cells negatively affected cell proliferation (Fig. 4), suggesting that miR-4779 directly targets CCND3 to inhibit cancer cell proliferation. In accordance, CCND3 is critical for cell growth, proliferation, and cancer development, and is directly targeted by various miRNAs. Specifically, miR-195 regulated glioblastoma cell invasion by modulating the CCND3/p27Kip1 pathway35 and miR-503 inhibited the G1/S transition by targeting CCND3 and E2F3 in hepatocellular carcinomas36. Moreover, miR-138 reportedly induced cell cycle arrest by targeting CCND3 in hepatocellular carcinoma cells37 and miR-592 inhibited cell proliferation by suppressing CCND3 expression in CRC38 Similarly, miR-4779 efficiently induced cell cycle arrest and apoptosis by targeting CCND3, and further contributed to cell cycle arrest by suppressing PAK2 expression.
No database for miR-4779 expression in colon cancer is available in public genomics databases. Thus, we analyzed miR-4779 expression levels and its target proteins in 10 paired clinical samples of normal and cancer tissues. In these frozen tissue specimens from colon cancer patients, lower miR-4779 expression was observed in 6 of 10 pairs of tumors compared with normal tissues, whereas PAK2 and CCNCD3 proteins were highly upregulated in tumors (Fig. 6). The bioinformatics database MIRUMIR shows that the high expression of miR-4779 results in a lower survival rate in esophageal squamous cell carcinoma patients, which was not significant (p = 0.611) (Supplementary Fig. 7)39. This data indicates that the level of miR-4779 expression has little relevance to overall survival in cancer. The Pearson correlation analysis showed that miR-4779 expression had no significant correlation with PAK2 or CCND3 expression (Supplementary Fig. 8). However, miR-4779 may have potential as a tumor suppressor in cancer patients with low miR-4779 and high PAK2/CCND3 expressions. Corresponding miR-4779 expression levels and its target proteins were also observed in various cancer and normal cell lines (Supplementary Fig. 9), and an inhibitor of miR-4779 blocked the function of endogenous miR-4779 in HCT116, CCD-18Co, and BEAS-2B cells (Fig. 3c–e). MiR-4779 expression was higher in normal cell lines, such as CCD-18Co and BEAS-2B, than in cancer cell lines, such as HCT116 and A549 (Fig. 3d). Also, normal cell lines with high miR-4779 expression were less affected by exogenous miR-4779 compared with cancer cell lines but were more affected by a miR-4779 inhibitor (Fig. 3c–e). These data indicate that the effect of miR-4779 on cell viability is dependent on endogenous miR-4779 levels. Finally, miR-4779 suppressed the growth of HCT116 xenograft tumors (Fig. 5), as indicated by decreased tumor growth and tumor sizes compared with controls. Advantages of therapeutic miRNAs include efficacy against heterogeneous tumors, reflecting simultaneous targeting of multiple cancer related proteins. Therefore, further studies of miR-4779 functions and investigations of target genes are warranted.
In this study, we identified miR-4779 as a novel tumor suppressor miRNA and demonstrated that miR-4779 induces cancer cell apoptosis and cell cycle arrest by targeting PAK2 and CCND3 in vitro and in vivo. To our knowledge, this is the first report to demonstrate the function of miR-4779, and our data suggest that miR-4779 has high potential as a potent tumor suppressor miRNA that can be exploited in the development of novel anticancer miRNA therapeutics.
Materials and methods
Cell culture
Human colon cancer cell lines HCT116 and HT-29, human lung cancer cell lines A549 and H460, and human breast cancer cell line MCF-7 were obtained from the American Type Culture Collection (ATCC, Rockville, MD, USA). Human normal lung epithelial cell line BEAS-2B and human normal colon fibroblast cell line CCD-18Co was obtained from the ATCC. HCT116, A549, H460, and BEAS-2B cells were maintained in RPMI1640 media (Welgene, Daegu, Korea) supplemented with 10% (v/v) fetal bovine serum (FBS) (Hyclone, Rockford, IL) and 1% (v/v) penicillin and streptomycin (Invitrogen, San Diego, CA). HT29 and MCF-7 cells were maintained in DMEM media (Welgene) supplemented with 10% (v/v) FBS and 1% (v/v) penicillin and streptomycin. CCD-18Co cells were maintained in MEM media (Welgene) supplemented with 10% (v/v) FBS and 1% (v/v) penicillin and streptomycin.
Screening of miRNA libraries
Human mature miRNA mimic libraries (532 miRNA mimics, Supplementary Table 1) were purchased from Genolution (Seoul, Korea). Synthetic miRNA mimics were prepared as RNA duplexes designed on the base of miRDB sequences. HCT116 cells were plated into 96-well plate (2 × 103 cells/well) and transfected with 50 nM miRNA mimics using G-Fectin (Genolution) by reverse transfection according to the manufacturer’s protocol. After 72 h transfection, cell viability was analyzed by MTS assay.
MTS assay
We seeded cells into 96-well plates and transfected them with each of the miRNAs. Cell viability was measured after 72 h with the CellTiter96 Aqueous Non-radioactive Assay (Promega, Madison, WI), as described in the manufacturer’s instruction. Briefly, 20 μl of the MTS solution was added to each well, and the plates were incubated for another 2 h. The absorbance at 490 nm was measured by microplate reader (Multiskan EX, Thermo LabSystems, Champaign, IL).
RNA oligoribonucleotides and transfection
Synthetic miRNA mimics were prepared by Genolution as RNA duplexes designed from the sequence of miR-4779 (5′- UAGGAGGGAAUAGUAAAAGCAG-3′) and miR-NC (negative control with scrambled sequence) (5′- ACUCUAUCUGCACGCUGACUU-3′). Also, synthetic miR-4779 mimic and miR-NC mimic (SMC-2003) were synthesized as RNA duplexes by Bioneer (Daejeon, Korea). miR-4779 inhibitor and miR-NC inhibitor (SMC-2103) were synthesized as single-stranded RNA oligonucleotides by Bioneer. miRNA mimics and inhibitors from Bioneer were used for only Fig. 3 experiment. Validated small interfering RNA (si-RNA) duplex of human PAK2 (si-PAK2, 100266), human CCND3 (si-CCND3, 1027310), and the negative control with scrambled sequence (si-NC, SN1003) were purchased from Bioneer. For RNA interference, cells were transfected with 20 nM si-RNAs, 50 nM miRNA mimics, and 50 nM miRNA inhibitors using Lipofectamin RNAiMAX reagent (invitrogen) by reverse transfection according to the manufacturer’s protocol.
Cell Cycle analysis
Cells were collected and washed with cold-PBS. In total 2 × 106 cells were fixed with 70% ethanol and stored at 4 °C for overnight. Cells were rehydrated with PBS for 10 min at RT and then cells were stained with propidium iodide (PI) staining solution contained with 50 μg/ml PI (Sigma), 2 μg/ml DNase-free RNase A (Calbiochem, La Jolla, CA), and 0.2 % NP-40 (USB, Cleveland, OH) in PBS for 15 min at 37 °C. Stained cells were analyzed for cell cycle analysis in BD FACSCanto II (BD Biosciences, San Jose, CA) and the raw data were analyzed by BD FACSDiva 7.0 program (BD Bioscience).
Apoptosis analysis
Apoptotic cells were determined by Annexin V-FITC/propidium iodide (PI) double staining using Annexin V-FITC Apoptosis Detection Kit (BioVision, Milpitas, CA) according to the manufacturer’s recommendation. Briefly, cells were collected and washed with cold-PBS. 5 × 105 cells were stained with Annexin V-FITC and PI in binding buffer (10 mM HEPES, pH 7.4, 140 mM NaCl, 25 mM CaCl2) for 10 min. The stained cells were then analyzed using a BD FACSCanto II and the raw data were analyzed by BD FACSDiva 7.0 program.
Colony-forming assay
After 24 h transfection, cells were collected, re-plated into 6-well plates (200 cells/well) and incubated for 7 day. Colonies were fixed and stained with 0.4% crystal violet (Bio Basic Inc., Markham, Canada) in 20% ethanol for 5 min. Cell colonies were photographed and counted.
Soft agar assay
After 24 h transfection, cells were harvested and performed the soft agar assay for determination of the anchorage-independent growth. Briefly, plated out 1 ml of 0.8% agar (BD Bacto Agar, Sparks, MD) solution in culture media into 6-well plate and solidified, and then overlaid with 1 ml of 0.3% agar solution in culture medium containing 2000 cells and allowed to grow. To prevent dry, 0.5 ml culture medium was added to each well. After 14 day, 0.5 ml of iodonitrotetrazolium violet (INT, 0.5 mg/ml in PBS) (Sigma, St. Louis, MO) was added to stain the cells for overnight. Cell colonies were photographed and counted.
Reporter assay
To prepare the reporter constructs, the 3′UTR of target genes containing the putative miR-4779 binding sites were amplified by PCR with the each indicated primers (Supplementary Table 2) and HCT116 cDNA as a template. The amplified PCR products were cloned the downstream of the luciferase gene in the pGL3-luc vector (kindly provided by V.N. Kim, School of Biological Sciences, Seoul National University, Korea) as schematically depicted in Fig. 2d, e. For generation of the mutant reporters, three nucleotide mutations were introduced into the putative miR-4779 binding sites using a QuikChange II XL site-directed mutagenesis kit (Agilent Technologies, Santa Clara, CA) with listed primers (Supplementary Table 2) according to the manufacturer’s recommendation. All primers were purchased from Bioneer. HCT116 cells were cotransfected with reporter plasmid (200 ng), pRL-CMV-Renilla plasmid (10 ng), and 10 nM miRNA in 24-well plates using Lipofectamine 2000 (Invitrogen) according to the manufacturer’s instructions. After 48 h of transfection, luciferase activity was measured using a Dual Luciferase Reporter Assay system (Promega) according to the manufacturer’s instruction. Firefly luciferase activity was normalized to Renilla luciferase activity.
RNA isolation and qRT-PCR analysis
Total RNA was isolated with RNeasy mini kit (Qiagen, Hamburg, Germany) according to the manufacturer’s instructions. Single-stranded complementary DNA (cDNA) was generated using PrimeScript™ RT Master Mix (Takara, Shiga, Japan) following the manufacturer’s directions. Quantitative RT-PCR was performed in LightCycler 96 (Roche, Penzberg, Germany) using LightCycler FastStart DNA Master SYBR Green I (Roche) and each validated primer. Validated qRT-PCR primers of PAK2 (P287019), Cyclin D3 (P235255), and HPRT1 (P160523) were from Bioneer. For miRNA quantification, small RNA was isolated with mirVana miRNA Isolation Kit (Ambion, Carlsbad, CA) according to the manufacturer’s instructions. Quantitative RT-PCR for miRNA was performed using a TaqMan MicroRNA assay kit (Applied Biosystems, Foster City, CA) and specific primer sets for U6 snRNA (Assay ID: 001973) and mature miR-4779 (Assay ID: 462689_mat) (Applied Biosystems) according to the manufacturer’s instructions. We used HPRT1 and U6 snRNA as internal normalizers for mRNA and miRNA, respectively.
Western blotting
Total cell lysates were prepared using RIPA buffer (25 mM Tris, pH 7.4, 150 mM NaCl, 1% (v/v) NP-40, 1% (w/v) sodium deoxycholate, 0.1% (w/v) SDS). Each protein sample (20–30 μg) was separated by 10–15% SDS–PAGE and then transferred to nitrocellulose membranes (Millipore, Bedford, MA). Antibodies against PAK2, Cyclin D3, CDK2, CDK4, CDK6, Cyclin D1, p18INK4C, p21Wafl/Cip1, p27Kip1, p53, Caspase 7, PARP, survivin, XIAP, Livin, Bad, phospho-Bad (S112), phospho-Bad (S136), and GAPDH were purchase from Cell Signaling Technology (Beverly, MA). Anti-Mcl-1, anti-Bax, HRP-conjugated goat anti-mouse IgG, and HRP-conjugated goat anti-rabbit IgG were purchased from Santa Cruz Biotechnology (Santa Cruz, CA). Anti-β-actin was purchased from Sigma. The labeled proteins were visualized with Immobilon Western Chemiluminesent HRP Substrate kit (Millipore) or Power Opti-ECL Western blotting Detection reagent (Bionote, Hwaseong, Korea) and the images were captured by ImageQuant LAS 4000 (GE healthcare, Buckinghamshire, UK). The protein band intensity on western blots was quantified and normalized to that of β-actin by the densitometry analysis using ImageJ software (http://rsb.info.nih.gov/ij/).
Tumor xenograft experiments
Female BALB/c nu/nu mice (4-weeks-old females) were purchased from Central Lab. Animal Inc. (Seoul, Korea) and kept in tight cages with standard rodent chow. A total of 5 × 106 HCT116 cells in 100 µl PBS were subcutaneously injected into the flanks of 5-week old mice. When solid tumors were established (the average tumor volume by 100 mm3, 6 days after cell implantation), in vivo-jetPEI/miRNA complex (miR-NC or miR-4779) were treated. Treatment with in vivo-jetPEI/miRNA complexes was done by intratumoral injection with 3 times at 3 day intervals. In vivo-jetPEI (Polyplus Transfection, Illkirch, France) was used as a delivery agent (miRNA 10 μg and in vivo-jetPEI reagent 1.2 µl in 100 µl of 5% glucose for one injection). For ex vivo xenografts, HCT116 cells were transfected with miR-NC or miR-4779 using Lipofectamin RNAiMAX reagent by reverse transfection. After 20 h transfection, miR-NC or miR-4779 transfected HCT116 cells (2 × 106 cells/100 µl PBS) were injected into the both flanks of 5-week old mice. The tumor size was measured by a caliper every 2–3 days from day 5 to day 21 after cell implantation. The volume was calculated by a formula: V = 0.5 A × B2, where A is the long diameter and B is the short diameter. The animals were killed on day 22. The tumor was removed from the body and weighed.
Patient specimens
Collection and use of colon cancer patient specimens were approved by the Institutional Review Board of Korea Institute of Radiological and Medical Sciences (KIRAMS, Seoul, Korea, IRB No. K-1602-002-050). Ten cases of colon cancer specimens and adjacent normal colon tissues were provided by the Radiation Tissue Resources Bank of Korea Cancer Center Hospital (2016-1-01-C/P10) (KCCH, KIRAMS). Samples were frozen and stored in liquid nitrogen until use.
Statistics
Summary statistics are presented as the mean ± S.D. Where appropriate, data were evaluated by performing a simple comparison between two values using Student’s t-test. A P-value of <0.05 was considered statistically significant.
Electronic supplementary material
Acknowledgements
This study was supported by a grant of the Korea Institute of Radiological and Medical Sciences (KIRAMS) (1711031812/50515-2016 and 1711045554/50531-2017) and by Basic Science Research Program through the National Research Foundation of Korea (NRF) (2013R1A1A2009473), funded by Ministry of Science, ICT, and Future Planning, Republic of Korea. The biospecimens and data used in this study were provided by the Radiation Tissue Resources Bank of Korea Cancer Center Hospital (2016-1-01-C/P10) (KCCH, KIRAMS).
Competing interests
The authors declare that they have no competing financial interests.
Footnotes
Edited by E. Candi
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Supplementary information
The online version of this article (10.1038/s41419-017-0100-x) contains supplementary material.
References
- 1.Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004;116:281–297. doi: 10.1016/S0092-8674(04)00045-5. [DOI] [PubMed] [Google Scholar]
- 2.Lu J, et al. MicroRNA expression profiles classify human cancers. Nature. 2005;435:834–838. doi: 10.1038/nature03702. [DOI] [PubMed] [Google Scholar]
- 3.Garzon R, Fabbri M, Cimmino A, Calin GA, Croce CM. MicroRNA expression and function in cancer. Trends Mol. Med. 2006;12:580–587. doi: 10.1016/j.molmed.2006.10.006. [DOI] [PubMed] [Google Scholar]
- 4.Calin GA, Croce CM. MicroRNA signatures in human cancers. Nat. Rev. Cancer. 2006;6:857–866. doi: 10.1038/nrc1997. [DOI] [PubMed] [Google Scholar]
- 5.Zhang B, Pan X, Cobb GP, Anderson TA. microRNAs as oncogenes and tumor suppressors. Dev. Biol. 2007;302:1–12. doi: 10.1016/j.ydbio.2006.08.028. [DOI] [PubMed] [Google Scholar]
- 6.Esquela-Kerscher A, Slack FJ. Oncomirs—microRNAs with a role in cancer. Nat. Rev. Cancer. 2006;6:259–269. doi: 10.1038/nrc1840. [DOI] [PubMed] [Google Scholar]
- 7.Hammond SM. MicroRNAs as tumor suppressors. Nat. Genet. 2007;39:582–583. doi: 10.1038/ng0507-582. [DOI] [PubMed] [Google Scholar]
- 8.Iorio MV, et al. MicroRNA gene expression deregulation in human breast cancer. Cancer Res. 2005;65:7065–7070. doi: 10.1158/0008-5472.CAN-05-1783. [DOI] [PubMed] [Google Scholar]
- 9.Yanaihara N, et al. Unique microRNA molecular profiles in lung cancer diagnosis and prognosis. Cancer Cell. 2006;9:189–198. doi: 10.1016/j.ccr.2006.01.025. [DOI] [PubMed] [Google Scholar]
- 10.Porkka KP, et al. MicroRNA expression profiling in prostate cancer. Cancer Res. 2007;67:6130–6135. doi: 10.1158/0008-5472.CAN-07-0533. [DOI] [PubMed] [Google Scholar]
- 11.Michael MZ, OC SM, van Holst Pellekaan NG, Young GP, James RJ. Reduced accumulation of specific microRNAs in colorectal neoplasia. Mol. Cancer Res. 2003;1:882–891. [PubMed] [Google Scholar]
- 12.He L, et al. A microRNA component of the p53 tumour suppressor network. Nature. 2007;447:1130–1134. doi: 10.1038/nature05939. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Liu C, et al. The microRNA miR-34a inhibits prostate cancer stem cells and metastasis by directly repressing CD44. Nat. Med. 2011;17:211–215. doi: 10.1038/nm.2284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Bader AG. miR-34—a microRNA replacement therapy is headed to the clinic. Front. Genet. 2012;3:120. doi: 10.3389/fgene.2012.00120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Persson H, et al. Identification of new microRNAs in paired normal and tumor breast tissue suggests a dual role for the ERBB2/Her2 gene. Cancer Res. 2011;71:78–86. doi: 10.1158/0008-5472.CAN-10-1869. [DOI] [PubMed] [Google Scholar]
- 16.Georgakilas AG, et al. Are common fragile sites merely structural domains or highly organized “functional” units susceptible oncogenic stress? Cell. Mol. Life Sci. 2014;23:4519–4544. doi: 10.1007/s00018-014-1717-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Molli PR, Li DQ, Murray BW, Rayala SK, Kumar R. PAK signaling in oncogenesis. Oncogene. 2009;28:2545–2555. doi: 10.1038/onc.2009.119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Manser E, Leung T, Salihuddin H, Zhao ZS, Lim L. A brain serine/threonine protein kinase activated by Cdc42 and Rac1. Nature. 1994;367:40–46. doi: 10.1038/367040a0. [DOI] [PubMed] [Google Scholar]
- 19.Bokoch GM. Biology of the p21-activated kinases. Annu. Rev. Biochem. 2003;72:743–781. doi: 10.1146/annurev.biochem.72.121801.161742. [DOI] [PubMed] [Google Scholar]
- 20.Siu MK, et al. Differential expression and phosphorylation of Pak1 and Pak2 in ovarian cancer: effects on prognosis and cell invasion. Int. J. Cancer. 2010;127:21–31. doi: 10.1002/ijc.25005. [DOI] [PubMed] [Google Scholar]
- 21.Gao C, Ma T, Pang L, Xie R. Activation of P21-activated protein kinase 2 is an independent prognostic predictor for patients with gastric cancer. Diagn. Pathol. 2014;9:55. doi: 10.1186/1746-1596-9-55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Deng WW, et al. PAK2 promotes migration and proliferation of salivary gland adenoid cystic carcinoma. Am. J. Transl. Res. 2016;8:3387–3397. [PMC free article] [PubMed] [Google Scholar]
- 23.Radu M, Semenova G, Kosoff R, Chernoff J. PAK signalling during the development and progression of cancer. Nat. Rev. Cancer. 2014;14:13–25. doi: 10.1038/nrc3645. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Zhao ZS, Manser E. Do PAKs make good drug targets? Biol. Rep. 2010;2:70. doi: 10.3410/B2-70. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ye DZ, Field J. PAK signaling in cancer. Cell Logist. 2012;2:105–116. doi: 10.4161/cl.21882. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Hao S, et al. miR-137 inhibits proliferation of melanoma cells by targeting PAK2. Exp. Dermatol. 2015;24:947–952. doi: 10.1111/exd.12812. [DOI] [PubMed] [Google Scholar]
- 27.Shuang T, Wang M, Shi C, Zhou Y, Wang D. Down-regulated expression of miR-134 contributes to paclitaxel resistance in human ovarian cancer cells. FEBS Lett. 2015;589(20 Pt B):3154–3164. doi: 10.1016/j.febslet.2015.08.047. [DOI] [PubMed] [Google Scholar]
- 28.Jakobi R, Moertl E, Koeppel MA. p21-activated protein kinase gamma-PAK suppresses programmed cell death of BALB3T3 fibroblasts. J. Biol. Chem. 2001;276:16624–16634. doi: 10.1074/jbc.M007753200. [DOI] [PubMed] [Google Scholar]
- 29.Jakobi R, McCarthy CC, Koeppel MA, Stringer DK. Caspase-activated PAK-2 is regulated by subcellular targeting and proteasomal degradation. J. Biol. Chem. 2003;278:38675–38685. doi: 10.1074/jbc.M306494200. [DOI] [PubMed] [Google Scholar]
- 30.Marlin JW, Eaton A, Montano GT, Chang YW, Jakobi R. Elevated p21-activated kinase 2 activity results in anchorage-independent growth and resistance to anticancer drug-induced cell death. Neoplasia. 2009;11:286–297. doi: 10.1593/neo.81446. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Li X, et al. Phosphorylation of caspase-7 by p21-activated protein kinase (PAK) 2 inhibits chemotherapeutic drug-induced apoptosis of breast cancer cell lines. J. Biol. Chem. 2011;286:22291–22299. doi: 10.1074/jbc.M111.236596. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Draetta GF. Mammalian G1 cyclins. Curr. Opin. Cell Biol. 1994;6:842–846. doi: 10.1016/0955-0674(94)90054-X. [DOI] [PubMed] [Google Scholar]
- 33.Musgrove EA, Caldon CE, Barraclough J, Stone A, Sutherland RL. Cyclin D as a therapeutic target in cancer. Nat. Rev. Cancer. 2011;11:558–572. doi: 10.1038/nrc3090. [DOI] [PubMed] [Google Scholar]
- 34.Mermelshtein A, et al. Expression of D-type cyclins in colon cancer and in cell lines from colon carcinomas. Br. J. Cancer. 2005;93:338–345. doi: 10.1038/sj.bjc.6602709. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Zhang QQ, et al. MicroRNA-195 plays a tumor-suppressor role in human glioblastoma cells by targeting signaling pathways involved in cellular proliferation and invasion. Neuro. Oncol. 2012;14:278–287. doi: 10.1093/neuonc/nor216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Xiao F, et al. MicroRNA-503 inhibits the G1/S transition by downregulating cyclin D3 and E2F3 in hepatocellular carcinoma. J. Transl. Med. 2013;11:195. doi: 10.1186/1479-5876-11-195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Wang W, Zhao LJ, Tan YX, Ren H, Qi ZT. MiR-138 induces cell cycle arrest by targeting cyclin D3 in hepatocellular carcinoma. Carcinogenesis. 2012;33:1113–1120. doi: 10.1093/carcin/bgs113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Liu Z, et al. MiR-592 inhibited cell proliferation of human colorectal cancer cells by suppressing of CCND3 expression. Int. J. Clin. Exp. Med. 2015;8:3490–3497. [PMC free article] [PubMed] [Google Scholar]
- 39.Antonov AV, Knight RA, Melino G, Barlev NA, Tsvetkov PO. MIRUMIR: an online tool to test microRNAs as biomarkers to predict survival in cancer using multiple clinical data sets. Cell Death Differ. 2013;20:367. doi: 10.1038/cdd.2012.137. [DOI] [PMC free article] [PubMed] [Google Scholar]
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