The miR-17-92 cluster of microRNAs is elevated in colorectal cancer, and has a causative role in cancer development. Of the six miR-17-92 cluster members, miR-19a and b in particular are key promoters of cancer development and cell proliferation, while preliminary evidence suggests that miR-18a may act in opposition to other cluster members to decrease cell proliferation. It was hypothesised that miR-18a may have a homeostatic function in helping to contain the oncogenic effect of the entire miR-17-92 cluster, and that elevated miR-17-92 cluster activity without a corresponding increase in miR-18a may promote colorectal tumour progression. In colorectal cancer samples and corresponding normal colorectal mucosa, miR-18a displayed lower overall expression than other miR-17-92 cluster members. miR-18a was shown to have an opposing role to other miR-17-92 cluster members, in particular the key oncogenic miRNAs, miR-19a and b. Transfection of HCT116 and LIM1215 colorectal cancer cell lines with miR-18a mimics decreased proliferation, while a miR-18a inhibitor increased proliferation. miR-18a was also responsible for decreasing cell migration, altering cell morphology, inducing G1/S phase cell cycle arrest, increasing apoptosis, and enhancing the action of a pro-apoptotic agent. CDC42, a mediator of the PI3K pathway, was identified as a novel miR-18a target. Overexpression of miR-18a reduced CDC42 expression, and a luciferase assay confirmed that miR-18a directly targets the 3′UTR of CDC42. miR-18a mimics had a similar effect on proliferation as a small molecule inhibitor of CDC42. Inhibition of CDC42 expression is likely to be a key mechanism by which miR-18a impairs cancer cell growth, with a target protector experiment revealing miR-18a influences proliferation via direct inhibition of CDC42. Inhibition of CCND1 by miR-18a may also assist in this growth-suppression effect. The homeostatic function of miR-18a within the miR-17-92 cluster in colorectal cancer cells may be achieved through suppression of CDC42 and the PI3K pathway.
Citation: Humphreys KJ, McKinnon RA, Michael MZ (2014) miR-18a Inhibits CDC42 and Plays a Tumour Suppressor Role in Colorectal Cancer Cells. PLoS ONE 9(11): e112288. https://doi.org/10.1371/journal.pone.0112288
Editor: Junming Yue, The University of Tennessee Health Science Center, United States of America
Received: June 29, 2014; Accepted: October 9, 2014; Published: November 7, 2014
Copyright: © 2014 Humphreys et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper and its Supporting Information files.
Funding: The study was funded by a Flinders Centre for Innovation in Cancer Research Grant. This study was produced with the financial and other support of Cancer Council SA's Beat Cancer Project on behalf of its donors and the State Government of South Australia through the Department of Health. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Disruption of normal miRNA expression levels frequently occurs in colorectal cancer (CRC) development . miRNAs, which are small non-coding RNA sequences, can post-transcriptionally regulate the expression of target genes by binding to complementary target mRNAs. They can cleave complementary mRNAs, or where there is imperfect complementarity, can act through translational inhibition and transcript destabilisation –. While human tumours are often characterised by a general defect in miRNA production and global miRNA down-regulation , , numerous studies have also shown specific miRNAs to be elevated in CRC , . Reduced levels of tumour suppressor miRNAs, or over-expression of oncogenic miRNAs, contribute to tumour progression by altering gene expression and influencing signalling pathways , . Indeed, some miRNAs have been shown to be drivers of the oncogenic process, and essential for tumour progression –.
One such example of a miRNA with a causative role in cancer development is the miR-17-92 cluster of miRNAs, which has been designated oncomir -1 due to its oncogenic potential . The miR-17-92 cluster, which comprises miR-17, miR-18a, miR-19a, miR-20a, miR-19b, and miR-92a, is commonly elevated in lymphomas and in solid tumours, including colorectal tumours , –. The cluster functions during both normal development and oncogenic transformation to promote proliferation and angiogenesis, and inhibit differentiation and apoptosis , . miRNAs in the miR-17-92 cluster have also been associated with invasion and metastasis of CRC cells , and with poorer survival . The cluster has been shown to coordinate multiple oncogenic pathways, and inhibition of these pathways has therapeutic potential for treating cancers caused by miR-17-92 dysregulation .
Of the six miR-17-92 cluster members, miR-19a and b in particular are key promoters of cancer development and cancer cell proliferation , , . In CRC cells, we have previously shown that of the cluster members, miR-19a and b are responsible for increasing proliferation . Several studies have also shown that miR-19a and b are required and largely sufficient for promoting the oncogenic properties of the cluster in lymphoma models , . In vivo, miR-19 was required for promoting lymphomagenesis in an Eµ-myc mouse B-cell lymphoma model , . miR-19 over-expression led to highly malignant early-onset B lymphomas, whereas disabling miR-19 biogenesis resulted in delayed tumour onset, incomplete penetrance, and extended life span . Following miR-17-92 deletion in lymphoma cells, reintroduction of miR-19 alone restored growth and suppressed apoptosis .
In contrast to the pro-proliferative action of miR-19, preliminary evidence suggests that miR-18a may act against the other cluster members to decrease cell proliferation . miR-18a may be less elevated than other members of the miR-17-92 cluster in colorectal tumours , and this relative increase in other members of the miR-17-92 cluster could favour increased proliferation. It is known that various post-transcriptional regulatory mechanisms can lead to different levels of individual cluster members, with miR-18a the only member of the cluster to require hnRNPA1 for processing . The tertiary structure of the folded pri-miR-17-92 transcript may also contribute to less efficient processing of miR-18a , . We hypothesised that miR-18a may have a homeostatic function in helping to contain the oncogenic effect of the entire miR-17-92 cluster, and that elevated miR-17-92 cluster activity without a corresponding increase in miR-18a may promote colorectal tumour progression. This study aimed to determine the tumour suppressor properties of miR-18a in CRC cell lines.
Materials and Methods
HCT116 colorectal carcinoma cells (ATCC, Manassas, VA, USA) were maintained in McCoy's 5A Medium (modified) (Invitrogen, Life Technologies, Carlsbad, CA, USA) containing 10% foetal bovine serum (Bovogen Biologicals, Essendon, VIC, Australia). LIM1215 colorectal carcinoma cells (ECACC, Salisbury, Wiltshire, UK) were maintained in Dulbecco's Modified Eagle's Medium containing 10% foetal bovine serum. Cells were grown at 37°C and 5% CO2, maintained at <80% confluence, and were mycoplasma free.
Human colorectal tissue samples
CRC samples and corresponding normal colorectal mucosa were obtained from the Flinders Tissue Bank (n = 30). These samples were collected by blunt dissection from fresh surgical resections, following ethics approval from the Southern Adelaide Clinical Human Research Ethics Committee and written informed consent from patients. Specific study approval to examine miRNA changes in this colorectal tissue was obtained from the Southern Adelaide Clinical Human Research Ethics Committee (approval number 204.13).
Cell lines were reverse transfected with miRNA mimics, miRNA inhibitors, siRNAs, plasmid contructs, and target protectors using Lipofectamine 2000 (Invitrogen) according to the manufacturer's protocol, in 24 and 96 well plate formats (100 000 and 20 000 cells per well, respectively). For the mimic experiments, miR-18a, miR-19a and b, and negative control (NC) miRNA oligonucleotide duplexes (GenePharma, Shanghai, China) were used at 20 nM each. miR-18a and NC locked nucleic acid (LNA) inhibitors (Exiqon, Vedbaek, Denmark) (IDSs: 18a: 410101-00, NC: 199004-00) were used at 50 nM. Pre-designed Mission siRNAs for CDC42 (cell division cycle 42) (Sigma-Aldrich, St Louis, MO, USA) (IDs: SASI_Hs01_00222990, SASI_Hs02_00332553) or a NC siRNA (ID: SIC001) were reverse transfected at a total concentration of 20 nM. Co-transfection experiments were performed using 200 ng plasmid DNA (details of constructs below) with 50 nM miR-18a or NC miRNA mimics. Additional co-transfection experiments were performed with 20 nM miR-18a or NC miRNA mimics and with miScript target protectors (Qiagen, Valencia, CA) designed for the miR-18a predicted target gene CDC42, or a negative control miScript target protector (ID: MTP0000002). Target protectors were designed for the two potential miR-18a binding sites in the CDC42 3′UTR using a Qiagen algorithm, and were reverse transfected at the recommended concentration of 500 nM for each target protector. The target protector context sequence (the region of the 3′UTR flanking the binding site) for the first target site of the CDC42 3′UTR was 5′AATGAAGAAAAGTATTGCACCTTTGAAATGCACCAAATGA3′, and for the second target site of the CDC42 3′UTR was 5′GTTGAGGTAATCTTTCCCACCTTCCCAAACCTAATTCTTG3′. Additional target protectors were designed for the single potential miR-18a binding site in the CCND1 3′UTR (context sequence: 5′TAGATGTGTAACCTCTTCACCTTATTCATGGCTGAAGTCA3′), and experiments were conducted as for CDC42 above. Cells were cultured for 24–48 h post-transfection.
Relative quantitation real-time RT-PCR
TRIzol Reagent (Invitrogen) was used to lyse cultured cells and human tissue samples. Total RNA was extracted according to the manufacturer's instructions. RNA was quantified using a Nanodrop-8000 spectrophotometer (Nanodrop Technologies, Wilmington, DE). miRNA expression analysis was conducted by relative quantitation real-time RT-PCR using TaqMan miRNA assays (Applied Biosystems, Life Technologies, Carlsbad, CA, USA). cDNA was synthesized from 20 ng total RNA using miRNA-specific primers according to the TaqMan miRNA Assay protocol, using 3.5 µl master mix and 1.5 µl RT primer in a 7.5 µl final volume. Real-time PCR was carried out according to the TaqMan protocol, using triplicate 10 µl reactions for each biological replicate including 1 µl of reverse transcription product, 0.5 µl miRNA-specific primer and probe assay mix (assay IDs: miR-17: 002308, miR-18a: 002422, miR-19a: 000395, miR-20a: 000580, miR-19b: 000396, miR-92a: 000431), and 1× TaqMan Universal PCR Master Mix No AmpErase UNG (Applied Biosystems). Thermal cycling was performed using a Rotor-Gene Q (Qiagen, Valencia, CA, USA). Results were normalized relative to the endogenous small nuclear RNA, RNU6B (assay ID: 001093). Relative expression levels were calculated from Ct values using Qgene .
For mRNA expression analysis, RNA was DNase I treated, and cDNA was synthesized from 1 µg total RNA using M-MLV Reverse Transcriptase, RNase H minus (Promega, Madison, WI, USA) and random hexamer primers in a 25 µl reaction. Real-time PCR was carried out according to the Power SYBR Green protocol (Applied Biosystems) with the following primers for CDC42: 5′ACGACCGCTGAGTTATCCAC3′ (forward) and 5′GGCACCCACTTTTCTTTCACG3′ (reverse) and for CCND1: 5′GATCAAGTGTGACCCGGACTG3′ (forward) and 5′CCTTGGGGTCCATGTTCTGC3′ (reverse), using triplicate 20 µl reactions including 2 µl of reverse transcription product, 300 nM forward and reverse primers, and 1× Power SYBR Green master mix (Applied Biosystems). Results were normalized relative to endogenous control ACTB (β-actin) levels, using the following primers: 5′TTGCCGACAGGATGCAGAAG3′ (forward) and 5′GCCGATCCACACGGAGTACT3′ (reverse), and expression levels calculated using Qgene.
Western blot analysis
RIPA buffer was used to obtain whole cell protein extracts, which were quantified using an EZQ Protein Quantification kit (Invitrogen). Protein extracts were resolved by SDS–PAGE using pre-cast Mini-PROTEAN TGX Stain-Free Gels (Bio-Rad, Hercules, CA, USA), and electro-blotted onto polyvinylidene difluoride membranes using the Trans-Blot Turbo transfer system and Mini PVDF Transfer Packs (Bio-Rad). Membranes were blocked with 5% bovine serum albumin or skim milk powder in TBS-T prior to overnight incubation with rabbit monoclonal anti-CDC42 (11A11) (1∶1000) (Cell Signaling Technology, Danvers, MA, USA). Rabbit monoclonal anti-GAPDH (glyceraldehyde 3-phosphate dehydrogenase) (D16H11) (1∶1000) (Cell Signalling Technology) was used as a loading control. Secondary horseradish peroxidase-conjugated goat anti-rabbit IgG (Immunopure, Thermo Scientific, Rockford, IL) was used in conjunction with the enhanced chemiluminescence (ECL) system (SuperSignal West Pico, Rockford, IL, USA) to visualize bands using the ChemiDoc MP Imaging system (Bio-Rad). Densitometry results were normalized to GAPDH levels.
Real time cell growth analysis
Cell proliferation was measured using the xCELLigence RTCA DP instrument (ACEA Biosciences, San Diego, CA, USA). Cells were seeded at 20 000 cells per well of an E-plate and cultured with appropriate treatments. In addition to transfections, treatments also included use of a small molecule inhibitor of CDC42 activity, ML141 (Sigma–Aldrich), at a dose of 20 µM, or a DMSO vehicle control , . Growth was measured every 30 min over 48–72 h. The xCELLigence system was also used to measure migration over 24 h using the CIM-plate 16 with cells seeded in serum free media in the top chamber at 30 000 per well, and 10% foetal bovine serum used as an attractant in the bottom chamber. The Incucyte Kinetic Imaging System (Essen BioScience, Ann Arbor, MI, USA) was used as an additional proliferation measure. Cells were seeded at 100 000 cells per well of a 24-well plate, and imaged every hour over 48 h, with 9 images per well. The live-cell phase contrast images were used to calculate confluence using the Incucyte software, and to provide morphology information. In addition to the live-cell imaging, cells were also fixed with formaldehyde at 48 h, and the cytoskeleton was fluorescently stained with Alexa Fluor 488 Phalloidin (Cell Signalling Technology) through the binding of phalloidin to F-actin, with cells imaged using an Olympus BX63 fluorescence microscope with 20× objective (Olympus, Center Valley, PA, USA).
Caspase apoptosis assays
Apoptosis was measured at 24 h using a Caspase-glo 3/7 assay (Promega) according to manufacturer's instructions, with the luminescent signal proportional to caspase-3/7 activity. The Incucyte also provided an additional real-time measure; the CellPlayer Caspase 3/7 reagent (Essen BioScience) was added to cells at a final concentration of 5 µM, and real-time fluorescent images were taken every hour over 24 h. These images were used to calculate fluorescent cell count, using the IncuCyte Object Counting v2.0 Analysis software. Apoptosis was monitored following transfection with miRNA mimics, with or without additional treatment with the pro-apoptotic agent sodium butyrate (Sigma–Aldrich), at 2.5 mM for 24 h.
Cells were harvested with trypsin 48 h after transfection, washed with PBS, and fixed with 4% formaldehyde with 20 min incubation on ice. Cells were washed with PBS then resuspended in 0.2% triton X in 1% BSA in PBS solution, and incubated at room temperature for 15 min. Cells were washed in 1% saponin wash solution with PBS, then resuspended in PBS/propidium iodide/RNase A and incubated for 30 mins, followed by FACS analysis using a BD FACSCanto II Flow Cytometer (BD Biosciences, San Jose, CA, USA) with PI 680/40 filter.
miRNA target prediction
Predicted miR-18a target genes were obtained using miRwalk, which collates data from multiple prediction programs (DIANAmT, miRanda, miRDB, miRWalk, PICTAR5, PITA, RNA22, and Targetscan) . Genes common to three or more prediction programs were analysed using Ingenuity Pathway Analysis (Ingenuity Systems, Redwood City, CA) to identify genes involved in proliferation and cell cycle control, and expressed in colorectal cells.
The CDC42 3′UTR (NM_001791.3) was amplified using the following primers: 5′CTCTCCAGAGCCCTTTCTGC3′ (forward) and 5′CAAAGAATTGAGACATGAGAAAGC3′ (reverse), using PFU DNA polymerase (Promega) and oligo dT primed cDNA. The 3′UTR was cloned into the pGEM-T Easy vector (Promega), then subcloned into the psiCHECK-2 vector (Promega) using NotI restriction sites, and sequenced. psiCHECK-2 contains Renilla luciferase as a primary reporter gene, and Firefly luciferase as an intra-plasmid transfection normalization reporter. The CDC42 3′UTR was cloned into the multiple cloning region located downstream of the Renilla translational stop codon, with binding of miRNA to the 3′UTR predicted to result in cleavage and subsequent degradation of the mRNA fusion transcript. Decreased Renilla luciferase activity was used as an indicator of miRNA activity.
Site directed mutagenesis was performed using the QuikChange Lightning Site-Directed Mutagenesis Kit (Agilent Technologies, Santa Clara, CA, USA), according to the manufacturer's instructions, to delete miR-18a seed sequence binding sites in the CDC42 3′UTR. Primers for the first target site of the CDC42 3′UTR (position 822–844 of NM_001791.3) were: 5′CACTGATAAATGAAGAAAAGTATTGTGAAATGCACCAAATGAATTGAGTT3′ (forward) and 5′AACTCAATTCATTTGGTGCATTTCACAATACTTTTCTTCATTTATCAGTG3′ (reverse). Primers for the second target site of the CDC42 3′UTR (position 1295–1317 of NM_001791.3) were: 5′AAAAATGTTGAGGTAATCTTTCCCCCAAACCTAATTCTTGTAGATG3′ (forward) and 5′CATCTACAAGAATTAGGTTTGGGGGAAAGATTACCTCAACATTTTT3′ (reverse). Plasmids were prepared with only the first site mutated, only the second site mutated, or both sites mutated.
Following co-transfection with psiCHECK-2 plasmid constructs and miRNA mimics, luciferase activity was measured after 24 h, using the Dual-luciferase assay kit (Promega), according to manufacturer's instructions. Renilla luciferase activity was normalised to Firefly luciferase activity for the same plasmid.
Data were presented as mean ± standard error of the mean (SEM) of at least three biological replicates, with graphs prepared using GraphPad Prism 6 (GraphPad Software Inc, La Jolla, CA). Statistical analyses were performed using Student's t-test, with a P value <0.05 considered significant.
miR-18a has lower overall expression compared with other miR-17-92 cluster members in colorectal cells
Human tissue bank samples were used to investigate miR-18a levels in CRC and normal colorectal mucosa, relative to levels of other miR-17-92 cluster miRNAs. miR-17-92 cluster miRNAs levels were quantified in early (Dukes A) and advanced (Dukes C) CRC samples, and corresponding normal colorectal mucosa. miR-17-92 miRNAs were elevated in CRC samples (Dukes A: miR-17 P = 0.01, miR-18a P = 0.01, miR-19a P = 0.005, miR-20a P = 0.002, miR-19b P = 0.009, miR-92a P = 0.07; Dukes C: miR-17 P = 0.0003, miR-18a P = 0.0005, miR-19a P = 0.0009, miR-20a P<0.0001, miR-19b P = 0.001, miR-92a P = 0.0007) compared with the matched normal tissue, and had higher expression in the Dukes C samples (Figure 1A and 1B). miR-18a had lower overall expression compared with other miR-17-92 cluster members, in both the Dukes A and C samples, and in the matched normal tissue (Figure 1A and 1B).
(A) miR-17-92 cluster miRNA levels in Dukes A and adjacent normal tissue samples (B) miR-17-92 cluster miRNA levels in Dukes C and adjacent normal tissue samples. The mean ± SEM of 30 patients is shown and expression is normalised to RNU6B. * P<0.05.
miR-18a modulates colorectal cancer cell growth and death
Transfection of HCT116 CRC cells with miR-18a mimics led to reduced proliferation over a 48 h time period, compared with the NC mimic transfected cells (P<0.0001) (Figure 2A). A similar anti-proliferative effect for miR-18a was observed in an additional CRC cell line, LIM1215 (P = 0.0009) (Figure 2B). Transfection of HCT116 cells with a miR-18a LNA miRNA inhibitor had the opposing effect, with increased proliferation over a 48 h time period compared with the NC inhibitor transfected cells (P = 0.03) (Figure 2C). HCT116 cells transfected with miR-18a mimics displayed a decreased ability to migrate over a 24 h period, compared with the NC mimic transfected cells (P = 0.004) (Figure 2D).
Cell index measurements using the xCELLigence RTCA DP instrument. (A) Proliferation of NC and miR-18a mimic transfected HCT116 cells over 48 h. (B) Proliferation of NC and miR-18a mimic transfected LIM1215 cells over 48 h. (C) Proliferation of NC and miR-18a inhibitor transfected HCT116 cells over 48 h. (D) Migration of NC and miR-18a mimic transfected HCT116 cells over 24 h. The mean ± SEM of 6 cell culture replicates is shown for each. * P<0.05.
Transfection with miR-18a mimics also appeared to alter cell morphology. Real-time images taken over 48 h revealed that HCT116 cells transfected with miR-18a mimics were more rounded and less adherent, with a reduced level of confluence (P<0.001) (Figure 3A and 3B). Addition of miR-19a and b mimics largely reversed this effect. Cells transfected with miR-19a and b in addition to miR-18a were closer in appearance to the NC mimic transfected cells, with a more extended morphology, in addition to similar confluence levels over 48 h (P = 0.20); confluence levels significantly increased in these cells compared with the cells transfected with miR-18a mimic alone (P<0.001) (Figure 3A and 3B). Immunofluorescent analysis of the actin component of the cytoskeleton using Alexa Fluor 488 Phalloidin also emphasized the altered cell morphology in the miR-18a mimic transfected HCT116 cells, including a more rounded appearance with reduced intercellular adhesion (Figure 3C).
Real-time cell images using the Incucyte instrument. (A) Representative images of NC, miR-18a mimic, and miR-18a, 19a and b mimic transfected cells at 48 h post-transfection. (B) Confluence quantified from real-time images of NC, miR-18a mimic, and miR-18a, 19a and b mimic transfected cells at 48 h. The mean ± SEM of 6 cell culture replicates is shown. * P<0.05. (C) Representative images (20×) of Alexa Fluor 488 Phalloidin fluorescent staining of the actin cytoskeleton of NC and miR-18a mimic transfected cells at 48 h post-transfection.
To measure apoptosis, a caspase 3/7 endpoint assay was performed 24 h after transfection of HCT116 cells. Transfection with miR-18a mimics increased apoptosis compared with NC mimic transfected cells (P = 0.04), whereas co-transfection with miR-19a and b mimics reduced apoptosis compared with miR-18a mimics alone, to a level similar to the NC mimic transfected cells (P = 0.16) (Figure 4A). Transfection with miR-19a and b mimics alone had no effect on apoptosis. Addition of miR-18a mimics also enhanced the action of a known pro-apoptotic agent. HDAC inhibitors, such as butyrate, have previously been shown to induce apoptosis in CRC cells –. Cells transfected with miR-18a mimics in conjunction with 2.5 mM butyrate treatment had higher levels of apoptosis at 24 h compared with the NC mimic transfected cells also treated with butyrate (P = 0.001) (Figure 4A). Again, transfection of miR-19a and b mimics with the miR-18a mimics reduced this effect, compared with the miR-18a mimics alone (P = 0.03), although apoptosis was still higher than with the NC mimics (P = 0.03) (Figure 4A). The effect of miR-18a on apoptosis was further studied in real-time, using the Incucyte system and a fluorescent caspase 3/7 assay to obtain images of cells undergoing apoptosis. When the HCT116 cell images taken 24 h after butyrate treatment were quantified, there were significantly more fluorescent cells with the miR-18a mimic transfection compared with NC mimic transfection, in cells without drug treatment (P<0.001), and in cells treated with 2.5 mM butyrate (P<0.001) (Figures 4B and 4D). A similar effect was observed in the LIM 1215 cells, with differences in fluorescent cell count between the miR-18a mimic and NC mimic transfection reaching significance 48 h after butyrate treatment (P = 0.03 in cells without drug treatment; P = 0.02 in cells treated with 2.5 mM butyrate) (Figure 4C).
(A) Caspase 3/7 luminescent assay in NC, miR-18a mimic, miR-19a and b mimic, and miR-18a, 19a and b mimic transfected HCT116 cells at 24 h post butyrate addition. The mean ± SEM of 3 cell culture replicates is shown. * P<0.05. (B and D) Quantification and representative real-time fluorescent cell images using the Incucyte instrument showing apoptosis in NC and miR-18a mimic transfected HCT116 cells at 24 h post butyrate addition. The mean ± SEM of 3 cell culture replicates is shown in B. (C) Quantification of real-time fluorescent cell images using the Incucyte instrument showing apoptosis in NC and miR-18a mimic transfected LIM1215 cells at 48 h post butyrate addition. The mean ± SEM of 3 cell culture replicates is shown. (E) Flow cytometry analysis of NC, miR-18a mimic, and miR-18a, 19a and b mimic transfected HCT116 cells at 48 h post-transfection; each graph representative of 3 cell culture replicates.
Flow cytometry was performed 48 h after transfection of HCT116 cells, and also showed an accumulation of cells undergoing cell death or apoptosis in the miR-18a mimic transfected cells (Figure 4E). The miR-18a mimics were shown to induce G1/S phase cell cycle arrest. Addition of miR-19a and b mimics resulted in decreased cell death and cell cycle arrest than with miR-18a mimic alone (Figure 4E).
Expression of the cell cycle control gene CDC42 is decreased by miR-18a and increased by miR-19a and b
Given the findings that miR-18a reduces proliferation and migration, alters cell morphology, increases apoptosis, and induces cell cycle arrest, predicted miR-18a targets were identified that are involved in these cellular processes. Among miR-18a predicted targets was cell division cycle 42 (CDC42), which was predicted by multiple target prediction programs. CDC42 is a member of the Rho family of GTPases, a subfamily of the Ras superfamily of small GTPases . Upon activation, CDC42 is able to bind a variety of effector proteins and initiate numerous downstream signalling pathways, including those involved in cytoskeletal remodelling, cell cycle progression, cell proliferation, survival and migration –. There are several transcript variants of CDC42, which encode a canonical isoform present in most tissues (isoform 1), and a brain-specific isoform (isoform 2). The 3′UTR of the transcripts for the canonical isoform contains two predicted miR-18a binding sites, while the alternate 3′UTR of the transcript for the brain isoform contains two different predicted miR-18a binding sites. For the purpose of this study in colorectal cells, CDC42 isoform 1 was investigated.
Transfection of HCT116 CRC cells with miR-18a mimics reduced transcript levels of CDC42 compared with the NC mimic transfected cells at 48 h, when detected by real-time RT-PCR (P<0.0001) (Figure 5A). Surprisingly, co-transfection of miR-19a and b mimics along with the miR-18a mimics produced the opposite effect, with increased CDC42 mRNA levels that were significantly higher than both the NC mimic cells (P = 0.0006) and the miR-18a mimic transfected cells (P<0.0001) (Figure 5A). Transfection with a miR-18a inhibitor increased transcript levels of CDC42 compared with the NC mimic transfected cells at 48 h, when detected by real-time RT-PCR (P<0.005) (Figure 5B).
(A) CDC42 mRNA levels in NC, miR-18a mimic, and miR-18a, 19a and b mimic transfected cells at 48 h post-transfection (B) CDC42 mRNA levels in NC and miR-18a inhibitor transfected cells at 48 h post-transfection. The mean ± SEM of 6 cell culture replicates is shown for each and expression is normalised to ACTB. * P<0.05. (C and D) Western blot of CDC42 protein levels in NC, miR-18a mimic, and miR-18a, 19a and b mimic transfected cells at 48 h post-transfection. Densitometry graph shows the mean ± SEM of 3 cell culture replicates for each and expression is normalised to GAPDH * P<0.05.
Western blot analysis showed CDC42 protein levels were also significantly reduced in the miR-18a mimic transfected cells compared with the NC mimic transfected cells, at 48 h (P = 0.02) (Figure 5C and 5D). Co-transfection of miR-19a and b mimics with the miR-18a mimics increased protein levels compared with miR-18a mimics alone (P = 0.008), with levels closer to that of NC mimic transfected cells (P>0.05) (Figure 5C and 5D).
miR-18a directly targets the 3′UTR of CDC42
A luciferase assay system was used to determine that miR-18a directly targets the CDC42 3′UTR. Dual-luciferase reporter plasmids were constructed with an intact CDC42 3′UTR, or with CDC42 3′UTRs mutated at the first, second, or both predicted miR-18a binding sites (Figure 6A). HCT116 cells were transfected with each plasmid, in conjunction with miR-18a or NC mimics, and Firefly and Renilla luciferase activity were measured at 24 h. A decrease in normalised Renilla luciferase activity was used as an indicator of miR-18a binding and repression. The cells with intact CDC42 3′UTR plasmid showed significantly reduced luciferase activity with the co-transfected miR-18a mimic compared with the NC mimic (P<0.0001) (Figure 6B). Mutation of only the first target site partially restored luciferase activity in the presence of miR-18a mimic compared with NC mimic (P = 0.02). Mutation of only the second target site was largely unable to restore luciferase activity, which was still significantly reduced in the presence of the miR-18a mimic compared with the NC mimic (P<0.0001). With both target sites mutated, luciferase activity was similar with the miR-18a and NC mimics (P = 0.48) (Figure 6B). The first predicted target site appears more responsible than the second target site for miR-18a binding and repression; however, mutation of both sites was required to completely prevent the action of miR-18a.
(A) Predicted miR-18a binding sites in the CDC42 3′UTR (NM_001791.3). The mutated CDC42 3′UTR sequence for each binding site is also shown. (B) Normalised Renilla luciferase activity in HCT116 cells with intact or mutated CDC42 3′UTR psiCHECK-2 plasmid construct (both miR-18a binding sites mutated, first site mutated, or second site mutated), and with NC or miR-18a mimics, at 24 h post-transfection. The mean ± SEM of 4 cell culture replicates is shown. * P<0.05.
miR-18a influences cell growth by inhibiting CDC42
Transfection of HCT116 cells with two different CDC42 siRNAs produced similar cellular effects as for the miR-18a mimic transfection, including decreased proliferation compared with a NC siRNA at 48 h (P = 0.0001 for CDC42 siRNA1; P<0.0001 for CDC42 siRNA2) (Figure 7A), and altered cell morphology with more rounded cells observed (Figure 7B).
(A) Cell index measurements using the xCELLigence RTCA DP instrument showing proliferation of cells transfected with NC siRNA or two different CDC42 siRNAs over 48 h. The mean ± SEM of 6 cell culture replicates is shown for each. * P<0.05. (B) Representative real-time cell images using the Incucyte instrument showing NC siRNA and CDC42 siRNA transfected cells at 48 h post-transfection. (C) Cell index measurements using the xCELLigence RTCA DP instrument showing proliferation of cells transfected with NC or miR-18a mimics over 72 h, with the addition of ML141 or vehicle control (VC) at 24 h. The mean ± SEM of 4 cell culture replicates is shown for each. * P<0.05.
A recently identified small molecule that inhibits CDC42 protein activity by preventing GTP binding has been shown to be selective and potent in biochemical and cellular assays . HCT116 cells were treated with this inhibitor, at a dosage previously determined to selectively inhibit CDC42 activity by ∼50% . This small molecule inhibitor of CDC42 had a similar effect on proliferation as the miR-18a mimics at 72 h (P = 0.006 for miR-18a mimic and P<0.001 for ML141 compared with the NC mimic vehicle only control), and together these two treatments had a synergistic effect and further decreased proliferation (P<0.001 compared with the NC mimic vehicle only control) (Figure 7C).
Target protectors were used to confirm that the direct targeting of the CDC42 3′UTR by miR-18a is a mechanism for the reduced cell growth observed with high miR-18a levels. These single-stranded, modified RNAs specifically interfere with the interaction of a miRNA with a single endogenous mRNA target site, while leaving the regulation of other targets of the same miRNA unaffected. Target protectors were designed for the two miR-18a target sites in the CDC42 3′UTR. Transfection of HCT116 cells with miR-18a mimics decreased CDC42 mRNA levels compared with a NC mimic at 48 h (P = 0.007); however, use of CDC42 target protectors in addition to the miR-18a mimics prevented miR-18a mediated reduction of CDC42 mRNA levels. mRNA levels were higher than with the miR-18a mimic alone (P = 0.03), and were similar to levels in the NC mimic transfected cells (P>0.05) (Figure 8A). In HCT116 cells, the miR-18a mimic decreased cell growth compared with a NC mimic at 48 h (P = 0.0003), whereas use of the CDC42 target protectors in addition to miR-18a mimic restored growth to at least that of the NC mimic at 48 h (P>0.05) (Figure 8B and 8D). Growth was significantly decreased with the miR-18a mimic alone compared with the miR-18a mimic plus CDC42 target protector co-transfection (P<0.0001); miR-18a thus appeared to decrease cell growth by directly inhibiting CDC42, with the specific target protectors blocking this inhibition and subsequent growth effect. Conversely, the NC target protector was unable to protect CDC42 from miR-18a binding and regulation (Figure 8A), with the miR-18a mimic plus NC target protector co-transfection reducing growth compared with the NC mimic (P = 0.006), and compared with the miR-18a plus CDC42 target protector co-transfection (P = 0.001), to a similar extent as with the miR-18a mimic alone (Figure 8B and 8D). A similar effect was observed in the LIM1215 cells, with miR-18a unable to produce its growth inhibitory effect in the presence of CDC42 target protectors (Figure 8C).
(A) CDC42 mRNA levels in NC mimic, miR-18a mimic, miR-18a mimic plus CDC42 target protectors (CDC42TP), and miR-18a mimic plus NC target protector (NCTP) transfected HCT116 cells at 48 h post-transfection. The mean ± SEM of 3 cell culture replicates is shown for each and expression is normalised to ACTB. * P<0.05. (B and C) Cell index measurements using the xCELLigence RTCA DP instrument showing proliferation of HCT116 (B) and LIM1215 (C) cells transfected with NC mimic, miR-18a mimic, miR-18a mimic plus CDC42 target protectors (CDC42TP), and miR-18a mimic plus NC target protector (NCTP) at 48 h post-transfection. The mean ± SEM of 3 cell culture replicates is shown. * P<0.05. (D) Representative real-time cell images using the Incucyte instrument of NC mimic, miR-18a mimic, miR-18a mimic plus CDC42 target protectors (CDC42TP), and miR-18a mimic plus NC target protector (NCTP) transfected HCT116 cells at 48 h post-transfection.
miR-18a also influences cell growth by inhibiting CCND1
As miRNAs may regulate hundreds of target genes, it is likely that miR-18a is achieving its growth-suppression action through other targets in addition to CDC42. Other important proliferation and cell cycle regulation genes were examined, to identify additional miR-18a predicted targets. Of these, the cell-cycle progression gene, CCND1, was predicted by multiple target prediction programs to have a miR-18a target site. Target protectors were designed for the miR-18a target site in the CCND1 3′UTR. Transfection of HCT116 cells with miR-18a mimics decreased CCND1 mRNA levels compared with a NC mimic at 48 h (P = 0.02), while use of CCND1 target protectors in addition to the miR-18a mimics prevented miR-18a mediated reduction of CCND1 mRNA levels, with levels similar to the NC mimic (P>0.05) (Figure 9A). In the HCT116 cells, growth was significantly decreased with the miR-18a mimic alone compared with the miR-18a mimic plus CCND1 target protector co-transfection (P = 0.004) (Figure 9B). Unlike the results for the CDC42 target protector experiments, however, the CCND1 target protector was unable to completely reverse the growth-suppression effect of miR-18a, with the 18a mimic plus CCND1 target protector co-transfection still showing lower growth than the NC mimic (P = 0.002) (Figure 9B).
(A) CCND1 mRNA levels in NC mimic, miR-18a mimic, miR-18a mimic plus CCND1 target protectors (CCND1TP), and miR-18a mimic plus NC target protector (NCTP) transfected HCT116 cells at 48 h post-transfection. The mean ± SEM of 3 cell culture replicates is shown for each and expression is normalised to ACTB. * P<0.05. (B) Cell index measurements using the xCELLigence RTCA DP instrument showing proliferation of HCT116 cells transfected with NC mimic, miR-18a mimic, miR-18a mimic plus CCND1 target protectors (CCND1TP), and miR-18a mimic plus NC target protector (NCTP) at 48 h post-transfection. The mean ± SEM of 3 cell culture replicates is shown. * P<0.05.
miRNAs are key regulators of cancer progression, with this study indicating that miR-18a has a tumour suppressor role in CRC. miR-18a mimics were shown to decrease proliferation in CRC cells, while a miR-18a inhibitor increased proliferation. miR-18a was also found to be responsible for decreasing cell migration, altering cell morphology, inducing G1/S phase cell cycle arrest, and increasing apoptosis, both alone and in the presence of a pro-apoptotic agent.
miR-18a was found to directly target the 3′UTR of CDC42, and to reduce CDC42 expression. This regulation could explain some of the observed down-stream cellular effects of miR-18a. CDC42 is an important regulator of cytoskeletal remodelling (including filopodia formation and microtubule stabilisation), cell cycle progression (promoting G1 to S phase transition), cell proliferation, survival and migration –. Increased CDC42 expression has been observed in multiple human cancers, including CRC , and elevated CDC42 may also contribute to cancer therapy resistance . Recent evidence points to CDC42 activation as a crucial step in malignant progression in colorectal cells . In our study, the CDC42 RNA interference phenocopied the miR-18a mimic transfections, with decreased proliferation and altered morphology evident. Thus, inhibition of CDC42 expression is likely to be a key mechanism by which miR-18a impairs cancer cell growth. Preventing miR-18a binding with target protectors confirmed that direct targeting of the CDC42 3′UTR by miR-18a is a mechanism for the reduced cell growth observed with high miR-18a levels; when the CDC42 mRNA was shielded from miR-18a suppression this growth reduction was no longer possible. miR-18a also reduced mRNA levels of CCND1; CCND1 plays an important role in promoting cell cycle progression, and is frequently overexpressed in cancer, including CRC . When the CCND1 mRNA was shielded from miR-18a suppression using a target protector, the effect of miR-18a-restrained proliferation was partially reduced; however, unlike the results for the CDC42 target protectors, the CCND1 target protector was unable to completely reverse growth suppression. It appears likely that miR-18a achieves growth suppression through the cumulative inhibition of multiple target genes, with some targets (particularly CDC42) playing greater roles than others (such as CCND1).
There is emerging evidence that components of the miR-17-92 cluster antagonize each other, in order to maintain balance between oncogenic and tumour suppressor pathways, in various cell contexts. While the miR-17-92 cluster as a whole acts as an oncogene, Olive et al (2013) found that deleting miR-92a increased the tendency of the miR-17-92 gene to promote Burkitt's lymphoma, with miR-92a and the oncogenic miR-19a and b opposing each other in lymphoma development . Colorectal cancer progression may be associated with elevated miR-17-92 transcription without a corresponding increase in mature miR-18a. In this study, while all miR-17-92 miRNAs, including miR-18a, were elevated in CRC samples, miR-18a levels remained low relative to the other cluster miRNAs. Elevation of miR-18a activity through the use of mimics led to deceased proliferation, cell morphology changes, apoptosis, and cell cycle arrest; however, addition of miR-19a and b mimics reversed these effects, and the cells had a more aggressive phenotype similar to the NC transfected cells. miR-18a was shown to directly target the CDC42 3′UTR to decrease mRNA levels, and thereby decrease protein, while miR-19a and b increased CDC42. There are several potential mechanisms by which miR-19a and b could increase CDC42 mRNA levels. It is possible that miR-19a and b could bind to the CDC42 promoter region and increase transcription. Studies in other miRNA and gene combinations establish a precedent for this; for example, miR-373 has been shown to induce expression of genes with complementary promoter sequences . However, target prediction using miRwalk did not reveal any obvious target sites for miR-19a and b in the CDC42 promoter region. Alternatively, miR-19a and b could be supressing an inhibitor of CDC42 transcription. Regulation of CDC42 transcription remains relatively unstudied, while activation of CDC42 protein is better characterised .
miR-18a appears to play a homeostatic role in opposing the action of the other miR-17-92 cluster members (Figure 10). The miR-17-92 cluster as a whole has recently been shown to drive cancer development by supressing the expression of inhibitors of the PI3K and NFkB pathways, thereby activating these pathways and promoting cell cycle progression, survival and migration . miR-17-92 cluster members supress the expression of inhibitors of the PI3K pathway, such as PTEN and PHLPP2 . miR-19 in particular has been shown to directly target and repress PTEN, with over-expression of miR-19 significantly down-regulating PTEN mRNA and protein levels . miR-92a has been shown to target PHLPP2 , . The activation of the PI3K pathway leads to downstream effects mediated by AKT and Rho GTPases, particularly RAC1 and CDC42; CDC42 is activated by the p85α subunit of PI3K and by AKT , . In contrast to the activation of the PI3K pathway by other miR-17-92 cluster miRNAs, miR-18a was shown in this study to inhibit CDC42 expression, which could reduce activity of this pathway. In addition, P53, an important tumour suppressor, is inhibited by components of the PI3K pathway, including CDC42, RAC1, and the AKT pathway , . Knockdown of CDC42 has been shown to increase and activate P53, leading to apoptosis , . Thus, the targeting of CDC42 by miR-18a may also enhance the pro-apoptotic action of P53.
Some miR-17-92 cluster members activate the PI3K pathway by supressing inhibitors of the pathway ; for example, miR-19 directly targets and represses PTEN . The homeostatic function of miR-18a may be achieved through suppression of the PI3K pathway, by targeting CDC42 and reducing expression.
Inhibition of miR-17-92 downstream pathways, such as the PI3K pathway, has been identified in a rodent model as having therapeutic value in treating cancers with miR-17-92 overexpression . Inhibition or delivery of particular miR-17-92 cluster miRNAs may also have therapeutic potential in human cancers. AntimiR-based therapy could possibly be used to inhibit miR-19a and b and other oncogenic members of the miR-17-92 cluster. This approach has been trialled in humans for treatment of hepatitis C virus infection using a locked nucleic acid antimiR oligonucleotide against miR-122 , and has also been used for members of the miR-17-92 cluster in rodents .
Alternatively, miRNA replacement therapy could be used to increase levels of miR-18a in colorectal tumours. Human trials of miRNA replacement therapy are commencing, with a miR-34a mimic currently being trialled for the treatment of liver cancer . miRNA replacement therapy would ideally target the tumour of interest, as miRNAs that play protective roles in some tissues may promote disease in others . miR-18a has been shown to have a tumour suppressor role in CRC, in both our study and in another recent study by Fujiya et al (2013) . These two studies present alternative or complementary mechanisms of action. Fujiya et al (2013) postulated that miR-18a acts through a non-canonical mechanism, to induce apoptosis by binding to hnRNPA1 (a protein with possible oncogenic activity) and promoting autophagolysosomal degradation. The study also used an in vivo xenograft model to display the inhibitory effects of miR-18a on CRC progression; in this model, tumours in a control group increased in size, whereas in a group with miR-18a administered using viral vectors, tumour growth was almost completely supressed . Fujiya et al (2013) did not investigate the canonical miRNA action of targeting specific mRNAs and supressing translation, and did not identify direct mRNA targets for miR-18a. In contrast, our study showed miR-18a directly targets CDC42, and through this inhibition is able to suppress proliferation. miR-18a has also been shown to suppress proliferation in bladder cancer , while miR-18b has been implicated as a tumour suppressor in melanoma . In contrast to suggested tumour suppressor roles, an oncogenic role for miR-18a has been suggested in several cancers, including breast and nasopharyngeal cancer , . miR-18a has also been shown to target Dicer, a member of the miRNA biogenesis pathway, thereby potentially contributing to altered miRNA expression profiles , although it should be noted that the Dicer 3′UTR is littered with binding sites for many miRNAs, which may simply indicate a general feedback loop. miR-18a may have divergent roles in different cancer types, by targeting genes important in specific tissue contexts. In addition to investigating the therapeutic delivery of miR-18a to colorectal tumours, future work could also further investigate why miR-18a expression remains stoichiometrically low compared with other cluster members, how this changes in cancer progression, and whether this processing could be modified. Investigation of the synergistic effect of miR-18a with ML141 may also be warranted, as it demonstrates potential for miRNA therapy to be used in conjunction with other drug treatments, and potential for lower drug concentrations to reduce morbidity associated with chemotherapy.
miR-18a appears to play a tumour suppressor role in CRC cells. In this study, miR-18a reduced proliferation and migration, increased apoptosis, and induced cell cycle arrest in CRC cells. miR-18a had an opposing role to other miR-17-92 cluster members, in particular the key oncogenic miRNAs, miR-19a and b. While other miR-17-92 cluster members activate the PI3K pathway , the homeostatic function of miR-18a may be achieved through suppression of this pathway by targeting CDC42. Direct inhibition of CDC42 was identified as a mechanism by which miR-18a reduces cell growth; inhibition of CCND1 by miR-18a may also assist in this growth-suppression effect. These findings offer new avenues for therapy, although caution is necessary as the action of miR-18a may be tissue specific.
The authors would like to thank the patients who donated to the joint FMC and RGH Tissue Bank, and the tissue bank coordinator Virginia Papangelis.
Conceived and designed the experiments: KJH RAM MZM. Performed the experiments: KJH. Analyzed the data: KJH MZM. Contributed reagents/materials/analysis tools: RAM MZM. Wrote the paper: KJH RAM MZM.
- 1. Cummins JM, He Y, Leary RJ, Pagliarini R, Diaz LA Jr, et al. (2006) The colorectal microRNAome. Proc Natl Acad Sci U S A 103: 3687–3692.
- 2. Hutvagner G, Zamore PD (2002) A microRNA in a multiple-turnover RNAi enzyme complex. Science 297: 2056–2060.
- 3. Filipowicz W, Bhattacharyya SN, Sonenberg N (2008) Mechanisms of post-transcriptional regulation by microRNAs: are the answers in sight? Nat Rev Genet 9: 102–114.
- 4. Guo H, Ingolia NT, Weissman JS, Bartel DP (2010) Mammalian microRNAs predominantly act to decrease target mRNA levels. Nature 466: 835–840.
- 5. Lu J, Getz G, Miska EA, Alvarez-Saavedra E, Lamb J, et al. (2005) MicroRNA expression profiles classify human cancers. Nature 435: 834–838.
- 6. Thomson JM, Newman M, Parker JS, Morin-Kensicki EM, Wright T, et al. (2006) Extensive post-transcriptional regulation of microRNAs and its implications for cancer. Genes Dev 20: 2202–2207.
- 7. Slaby O, Svoboda M, Fabian P, Smerdova T, Knoflickova D, et al. (2007) Altered expression of miR-21, miR-31, miR-143 and miR-145 is related to clinicopathologic features of colorectal cancer. Oncology 72: 397–402.
- 8. Guil S, Esteller M (2009) DNA methylomes, histone codes and miRNAs: tying it all together. Int J Biochem Cell Biol 41: 87–95.
- 9. Mendell JT, Olson EN (2012) MicroRNAs in stress signaling and human disease. Cell 148: 1172–1187.
- 10. Medina PP, Nolde M, Slack FJ (2010) OncomiR addiction in an in vivo model of microRNA-21-induced pre-B-cell lymphoma. Nature 467: 86–90.
- 11. Mu P, Han YC, Betel D, Yao E, Squatrito M, et al. (2009) Genetic dissection of the miR-17∼92 cluster of microRNAs in Myc-induced B-cell lymphomas. Genes Dev 23: 2806–2811.
- 12. Olive V, Bennett MJ, Walker JC, Ma C, Jiang I, et al. (2009) miR-19 is a key oncogenic component of mir-17-92. Genes Dev 23: 2839–2849.
- 13. Jin HY, Oda H, Lai M, Skalsky RL, Bethel K, et al. (2013) MicroRNA-17∼92 plays a causative role in lymphomagenesis by coordinating multiple oncogenic pathways. EMBO J 32: 2377–2391.
- 14. He L, Thomson JM, Hemann MT, Hernando-Monge E, Mu D, et al. (2005) A microRNA polycistron as a potential human oncogene. Nature 435: 828–833.
- 15. Ota A, Tagawa H, Karnan S, Tsuzuki S, Karpas A, et al. (2004) Identification and characterization of a novel gene, C13orf25, as a target for 13q31-q32 amplification in malignant lymphoma. Cancer Res 64: 3087–3095.
- 16. Volinia S, Calin GA, Liu CG, Ambs S, Cimmino A, et al. (2006) A microRNA expression signature of human solid tumors defines cancer gene targets. Proc Natl Acad Sci U S A 103: 2257–2261.
- 17. Diosdado B, van de Wiel MA, Terhaar Sive Droste JS, Mongera S, Postma C, et al. (2009) MiR-17-92 cluster is associated with 13q gain and c-myc expression during colorectal adenoma to adenocarcinoma progression. Br J Cancer 101: 707–714.
- 18. Kahlert C, Klupp F, Brand K, Lasitschka F, Diederichs S, et al. (2011) Invasion front-specific expression and prognostic significance of microRNA in colorectal liver metastases. Cancer Sci 102: 1799–1807.
- 19. Yu G, Tang JQ, Tian ML, Li H, Wang X, et al. (2012) Prognostic values of the miR-17-92 cluster and its paralogs in colon cancer. J Surg Oncol 106: 232–237.
- 20. Humphreys KJ, Cobiac L, Le Leu RK, Van der Hoek MB, Michael MZ (2013) Histone deacetylase inhibition in colorectal cancer cells reveals competing roles for members of the oncogenic miR-17-92 cluster. Mol Carcinog 52: 459–474.
- 21. Guil S, Caceres JF (2007) The multifunctional RNA-binding protein hnRNP A1 is required for processing of miR-18a. Nat Struct Mol Biol 14: 591–596.
- 22. Chaulk SG, Thede GL, Kent OA, Xu Z, Gesner E, et al. (2011) Role of pri-miRNA tertiary structure in miR-17∼92 miRNA biogenesis. RNA Biol 8: 1105–1114.
- 23. Chakraborty S, Mehtab S, Patwardhan A, Krishnan Y (2012) Pri-miR-17-92a transcript folds into a tertiary structure and autoregulates its processing. Rna 18: 1014–1028.
- 24. Muller PY, Janovjak H, Miserez AR, Dobbie Z (2002) Processing of gene expression data generated by quantitative real-time RT-PCR. Biotechniques 32: 1372–1374, 1376, 1378–1379.
- 25. Chen HY, Yang YM, Stevens BM, Noble M (2013) Inhibition of redox/Fyn/c-Cbl pathway function by Cdc42 controls tumour initiation capacity and tamoxifen sensitivity in basal-like breast cancer cells. EMBO Mol Med 5: 723–736.
- 26. Hong L, Kenney SR, Phillips GK, Simpson D, Schroeder CE, et al. (2013) Characterization of a Cdc42 protein inhibitor and its use as a molecular probe. J Biol Chem 288: 8531–8543.
- 27. Dweep H, Sticht C, Pandey P, Gretz N (2011) miRWalk–database: prediction of possible miRNA binding sites by “walking” the genes of three genomes. J Biomed Inform 44: 839–847.
- 28. Mariadason JM, Corner GA, Augenlicht LH (2000) Genetic reprogramming in pathways of colonic cell maturation induced by short chain fatty acids: comparison with trichostatin A, sulindac, and curcumin and implications for chemoprevention of colon cancer. Cancer Res 60: 4561–4572.
- 29. Iacomino G, Tecce MF, Grimaldi C, Tosto M, Russo GL (2001) Transcriptional response of a human colon adenocarcinoma cell line to sodium butyrate. Biochem Biophys Res Commun 285: 1280–1289.
- 30. Daly K, Shirazi-Beechey SP (2006) Microarray analysis of butyrate regulated genes in colonic epithelial cells. DNA Cell Biol 25: 49–62.
- 31. Ellenbroek SI, Collard JG (2007) Rho GTPases: functions and association with cancer. Clin Exp Metastasis 24: 657–672.
- 32. Reymond N, Im JH, Garg R, Vega FM, Borda d′Agua B, et al. (2012) Cdc42 promotes transendothelial migration of cancer cells through beta1 integrin. J Cell Biol 199: 653–668.
- 33. Stengel KR, Zheng Y (2012) Essential role of Cdc42 in Ras-induced transformation revealed by gene targeting. PLoS One 7: e37317.
- 34. Nobes CD, Hall A (1995) Rho, rac, and cdc42 GTPases regulate the assembly of multimolecular focal complexes associated with actin stress fibers, lamellipodia, and filopodia. Cell 81: 53–62.
- 35. Rohatgi R, Ma L, Miki H, Lopez M, Kirchhausen T, et al. (1999) The interaction between N-WASP and the Arp2/3 complex links Cdc42-dependent signals to actin assembly. Cell 97: 221–231.
- 36. Olson MF, Ashworth A, Hall A (1995) An essential role for Rho, Rac, and Cdc42 GTPases in cell cycle progression through G1. Science 269: 1270–1272.
- 37. Fukata M, Watanabe T, Noritake J, Nakagawa M, Yamaga M, et al. (2002) Rac1 and Cdc42 capture microtubules through IQGAP1 and CLIP-170. Cell 109: 873–885.
- 38. Gomez Del Pulgar T, Valdes-Mora F, Bandres E, Perez-Palacios R, Espina C, et al. (2008) Cdc42 is highly expressed in colorectal adenocarcinoma and downregulates ID4 through an epigenetic mechanism. Int J Oncol 33: 185–193.
- 39. Marques CA, Hahnel PS, Wolfel C, Thaler S, Huber C, et al. (2008) An immune escape screen reveals Cdc42 as regulator of cancer susceptibility to lymphocyte-mediated tumor suppression. Blood 111: 1413–1419.
- 40. Sakamori R, Yu S, Zhang X, Hoffman A, Sun J, et al. (2014) CDC42 inhibition suppresses progression of incipient intestinal tumors. Cancer Res
- 41. Musgrove EA, Caldon CE, Barraclough J, Stone A, Sutherland RL (2011) Cyclin D as a therapeutic target in cancer. Nat Rev Cancer 11: 558–572.
- 42. Olive V, Sabio E, Bennett MJ, De Jong CS, Biton A, et al. (2013) A component of the mir-17-92 polycistronic oncomir promotes oncogene-dependent apoptosis. Elife 2: e00822.
- 43. Place RF, Li LC, Pookot D, Noonan EJ, Dahiya R (2008) MicroRNA-373 induces expression of genes with complementary promoter sequences. Proc Natl Acad Sci U S A 105: 1608–1613.
- 44. Carlin LM, Evans R, Milewicz H, Fernandes L, Matthews DR, et al. (2011) A targeted siRNA screen identifies regulators of Cdc42 activity at the natural killer cell immunological synapse. Sci Signal 4: ra81.
- 45. Rao E, Jiang C, Ji M, Huang X, Iqbal J, et al. (2012) The miRNA-17∼92 cluster mediates chemoresistance and enhances tumor growth in mantle cell lymphoma via PI3K/AKT pathway activation. Leukemia 26: 1064–1072.
- 46. Kang SG, Liu WH, Lu P, Jin HY, Lim HW, et al. (2013) MicroRNAs of the miR-17∼92 family are critical regulators of T(FH) differentiation. Nat Immunol 14: 849–857.
- 47. Pothula S, Bazan HE, Chandrasekher G (2013) Regulation of Cdc42 expression and signaling is critical for promoting corneal epithelial wound healing. Invest Ophthalmol Vis Sci 54: 5343–5352.
- 48. Park SY, Lee JH, Ha M, Nam JW, Kim VN (2009) miR-29 miRNAs activate p53 by targeting p85 alpha and CDC42. Nat Struct Mol Biol 16: 23–29.
- 49. Ma J, Xue Y, Liu W, Yue C, Bi F, et al. (2013) Role of activated rac1/cdc42 in mediating endothelial cell proliferation and tumor angiogenesis in breast cancer. PLoS One 8: e66275.
- 50. Janssen HL, Reesink HW, Lawitz EJ, Zeuzem S, Rodriguez-Torres M, et al. (2013) Treatment of HCV infection by targeting microRNA. N Engl J Med 368: 1685–1694.
- 51. Pullamsetti SS, Doebele C, Fischer A, Savai R, Kojonazarov B, et al. (2012) Inhibition of microRNA-17 improves lung and heart function in experimental pulmonary hypertension. Am J Respir Crit Care Med 185: 409–419.
- 52. Bader AG (2012) miR-34 - a microRNA replacement therapy is headed to the clinic. Front Genet 3: 120.
- 53. Fujiya M, Konishi H, Mohamed Kamel MK, Ueno N, Inaba Y, et al. (2013) microRNA-18a induces apoptosis in colon cancer cells via the autophagolysosomal degradation of oncogenic heterogeneous nuclear ribonucleoprotein A1. Oncogene
- 54. Tao J, Wu D, Li P, Xu B, Lu Q, et al. (2012) microRNA-18a, a member of the oncogenic miR-17-92 cluster, targets Dicer and suppresses cell proliferation in bladder cancer T24 cells. Mol Med Report 5: 167–172.
- 55. Dar AA, Majid S, Rittsteuer C, de Semir D, Bezrookove V, et al. (2013) The role of miR-18b in MDM2-p53 pathway signaling and melanoma progression. J Natl Cancer Inst 105: 433–442.
- 56. Castellano L, Giamas G, Jacob J, Coombes RC, Lucchesi W, et al. (2009) The estrogen receptor-alpha-induced microRNA signature regulates itself and its transcriptional response. Proc Natl Acad Sci U S A 106: 15732–15737.
- 57. Luo Z, Dai Y, Zhang L, Jiang C, Li Z, et al. (2013) miR-18a promotes malignant progression by impairing microRNA biogenesis in nasopharyngeal carcinoma. Carcinogenesis 34: 415–425.