Skip to main content
PMC home page
PLOS ONE logoLink to PLOS ONE
. 2010 Dec 23;5(12):e15797. doi: 10.1371/journal.pone.0015797

Unregulated miR-96 Induces Cell Proliferation in Human Breast Cancer by Downregulating Transcriptional Factor FOXO3a

Huanxin Lin 1,2,#, Ting Dai 3,#, Huaping Xiong 4,#, Xiaohui Zhao 1, Xiuting Chen 1, Chunping Yu 1, Jun Li 3, Xi Wang 1,5,*, Libing Song 1,*
Editor: Fabio Martelli6
PMCID: PMC3009749  PMID: 21203424

Abstract

FOXO transcription factors are key tumor suppressors in mammalian cells. Until now, suppression of FOXOs in cancer cells was thought to be mainly due to activation of multiple onco-kinases by a phosphorylation-ubiquitylation-mediated cascade. Therefore, it was speculated that inhibition of FOXO proteins would naturally occur through a multiple step post-translational process. However, whether cancer cells may downregulate FOXO protein via an alternative regulatory mechanism is unclear. In the current study, we report that expression of miR-96 was markedly upregulated in breast cancer cells and breast cancer tissues compared with normal breast epithelial cells (NBEC) and normal breast tissues. Ectopic expression of miR-96 induced the proliferation and anchorage-independent growth of breast cancer cells, while inhibition of miR-96 reduced this effect. Furthermore, upregulation of miR-96 in breast cancer cells resulted in modulation of their entry into the G1/S transitional phase, which was caused by downregulation of cyclin-dependent kinase (CDK) inhibitors, p27Kip1 and p21Cip1, and upregulation of the cell-cycle regulator cyclin D1. Moreover, we demonstrated that miR-96 downregulated FOXO3a expression by directly targeting the FOXO3a 3′-untranslated region. Taken together, our results suggest that miR-96 may play an important role in promoting proliferation of human breast cancer cells and present a novel mechanism of miRNA-mediated direct suppression of FOXO3a expression in cancer cells.

Introduction

The FOXO subfamily of Forkhead transcription factors, including FoxO1 (FKHR), FoxO3a (FKHRL1), FoxO4 (AFX) and FoxO6 contains evolutionarily conserved transcriptional activators that are characterized by a highly conserved forkhead domain with a DNA-binding motif [1]. FOXO proteins play a pivotal role in biological processes, such as apoptosis, cell cycle control, differentiation, stress response, DNA damage repair and glucose metabolism [2]. Activation of each member of the FOXO subfamily in cells can upregulate cell-cycle inhibitors p21Cip1 and p27Kip1 and downregulate the cell cycle regulator cyclin D1/2 (cell-cycle related genes), consequently leading to G1/S arrest of cells [3]–[5]. It has been also reported that upregulation of FOXO proteins can induce apoptosis through regulation of multiple pro-apoptotic proteins, including Bim, Puma, Fas ligand and TRAIL [6]–[9]. Meanwhile, FOXO proteins have been associated with DNA damage repair via upregulation of GADD45a or interaction with ATM to promote DNA repair via downstream mediators [10]–[12]. Therefore, FOXO transcription factors are considered key tumor suppressors. Indeed, downregulation of FOXO1 in chicken embryo fibroblasts or inhibition of transcriptional activity of FOXO3a protein in human breast cancer cells can promote cell transformation and tumor progression [13]–[14]. Broad somatic deletion of all FOXOs in mice were shown to promote a progressive cancer-prone condition characterized by thymic lymphomas and hemangiomas, and stable introduction of a dominant-negative FOXO moiety into Eμ-myc transgenic hematopoietic stem cells could accelerate lymphoma development in recipient mice [15]–[16]. These observations demonstrate that the mammalian FOXOs are bona fide tumor suppressors.

The inhibition of cell proliferation and survival by FOXO transcription factors is often abrogated due to high level activation of multiple onco-kinases in cancer cells, such as Akt, SGK1 (serum-and glucocorticoid-inducible kinase 1) and IκB kinase (IKK)-β [17], [18], [14]. Phosphorylation of FOXO transcriptional factors can result in their release from the DNA and translocation from the nucleus to cytoplasm through interaction with 14-3-3 chaperone proteins [19]. Although activation of the abovementioned onco-kinases can contribute to persistent phosphorylation and degradation of FOXO proteins, we wondered why cancer cells would downregulate FOXO proteins via multiple steps (such as phosphrylation, nuclear/cytoplasmic translocation, and ubiquitin-mediated degradation) rather than halt synthesis at the translational step as it is energy-consuming for the cell to continually re-synthesize and re-degrade these proteins. Thus, we hypothesized that there may be an alternative regulatory mechanism of FOXO protein expression in cancer.

MicroRNAs (miRNAs), a class of small non-coding RNAs, regulate gene expression by inhibition of translation or facilitation of mRNA degradation that result in repression of target genes by binding to the 3′-UTR of a target mRNA molecule [20]–[21]. Numerous studies have reported that miRNAs are involved in the development and progression of various types of human cancers and proposed as potential novel targets for anti-cancer therapies [22]–[24].

In the current study, the expression of miR-96 in breast cancer cells was compared to that in normal tissue, and the effect of its overexpression on the proliferation of tumor cells was investigated. We determined that miR-96 likely promotes breast cancer proliferation by directly targeting the 3′untranslated region (3′-UTR) of the FOXO3a mRNA, consequently reducing the expression of cyclin-dependent kinase (CDK) inhibitors, p27Kip1 and p21Cip1, and upregulating the cell-cycle regulator cyclin D1. Our results suggest that miR-96 may play an important role in the development and progression of breast cancer.

Materials and Methods

Ethics Statement

Normal breast samples

Normal breast samples was collected from the mammoplasty material of a 30-year-old woman and approved by the Sun Yat-sen University and First Affiliated Hospital Institutional Board. Samples was collected and analyzed with written informed consent.

Breast cancer tissue specimens

This study was conducted on a total of 23 breast cancer samples which were histopathologically and clinically diagnosed at the Sun Yat-sen University Cancer Center from 2009 to 2010. Clinical and clinicopathological classification and staging were determined according to the American Joint Committee on Cancer (AJCC) criteria [25]. The stage and grade of primary breast tumors were as follows: 3 cases at stage I of disease, 12 at stage II, 7 at stage III, and 1 at stage IV. Of these breast cancers samples, 14 were ERα-positive, 16 were PR-positive, and 18 were HER2-positive. For the use of clinical materials for research purposes, prior patients' consents and approval was obtained from the Sun Yat-sen University and Cancer Center Institutional Board. All samples were collected and analyzed with prior written informed consent from the patients.

Cell Culture

Primary NBEC, form mammoplasty material, were cultured in the Keratinocyte serum-free medium (Invitrogen, Carlsbad, CA) supplemented with epithelial growth factor, bovine pituitary extract and antibiotics (120 µg/ml streptomycin and 120 µg/ml penicillin). Breast cancer cell lines, including MCF-7, ZR-75-30, BT549, Bcap37, MDA-MB435, SKBR3, MDA-MB453 and T47D, were maintained in DMEM medium (Invitrogen, Carlsbad, CA) supplemented with 10% fetal bovine serum (HyClone, Logan, UT) and 1% penicillin/streptomycin (Invitrogen, Carlsbad, CA, USA).

Plasmid and transfection

The full-length sequence of FOXO3a-3′UTR is 4977 base pairs (bp) long and contains two conserved miR-96 binding sites (REs), including RE#1 from 76 bp to 80 bp, and RE#2 from 916 bp to 922 bp; one reported miR-155 binding site from 1021 bp to 1027 bp [26]; two reported miR-182 binding sites (REs), including RE#1 from 73 bp to 79 bp, and RE#2 from 915 bp to 921 bp [27]. The region of human FOXO3a 3′UTR, from 47 to 939, generated by PCR amplification from NBEC, were cloned into the Sac I/Xma I sites of the pGL3-basic luciferase reporter plasmid (Promega, Madison, WI) and pGFP-C3 (Clontech, Mountain View, CA). The primers selected are as the following: FOXO3a-3′UTR-wt-up: 5′- AAGACCTACAGAGAAAACCCTTTGCCAAATCTGCTCTC AGC-3′; FOXO3a-3′UTR-wt-dn: 5′-CTAAACCCTTTAGTGACATTTGGCAATGAGTGG CCCGG-3′; FOXO3a-3′UTR-mu-up: 5′-AAGACCTACAGAGAAAACCCTTTGCCACC TCTGCTCTCAGC-3′; FOXO3a-3′UTR-mu-dn: 5′-CTAAACCCTTTAGTGACATGGGGC AATGAGTGGCCCGGG-3′; p3x IRS-MLP-luc plasmid was constructed as previously described [28]. The miR-96 mimics, negative control, and anti-miR-96 inhibitor were purchased from RiboBio (RiboBio Co.Ltd, Guangzhou, Guangdong). Transfection of microRNA or microRNA inhibitor was performed using the Lipofectamine 2000 reagent (Invitrogen) according to the manufacturer's instruction.

Western blotting

The western blot analysis was performed according to standard methods as previously described [29], using anti-FOXO3a, anti-p21, anti-p27, anti-cyclinD1, anti-Ki-67 antibodies (Cell Signaling, Danvers, MA), and anti-Rb, anti- phosphorylated Rb antibodies (Abcam, Cambridge, MA). The membranes were stripped and re-blotted with an anti-α-tubulin monoclonal antibody (Sigma, Saint Louis, MO) as a loading control.

RNA Extraction and Real-Time Quantitative PCR

Total miRNA from cultured cells and fresh surgical breast cancer tissues was extracted using the mirVana miRNA Isolation Kit (Ambion, Austin, TX, USA) according to the manufacturer's instructions. cDNA was synthesized from 5 ng of total RNA using the Taqman miRNA reverse transcription kit (Applied Biosystems, Foster City, CA), and the expression levels of miR-96 were quantified using miRNA-specific TaqMan MiRNA Assay Kit (Applied Biosystems). Real-time PCR was performed using the Applied Biosystems 7500 Sequence Detection system. The primers selected are as the following: p21Cip1, forward, 5′-CGATGCCAACCTCCTCAACGA -3′, and reverse, 5′-TCGCAGACCT CCAGCATCCA-3′; p27Kip1, forward, 5′-TGCAACCGA CGATTCTTCTACTCAA-3′, and reverse, 5′-CAAGCAGTGATGTATCTGATAAACAAGG A-3′; cyclin D1, forward, 5′- AAC TACCTGGACCGCTTCCT -3′, and reverse, 5′-CCACTT GAGCTTGTTCACCA-3′). Expression data were normalized to the geometric mean of housekeeping gene GAPDH to control the variability in expression levels (forward primer, 5′-GACTCATGACCACAGTCCATGC-3′; reverse primer, 3′-AGAGGCAGGGATGATG TTCTG -5′) and calculated as 2-[(Ct of p21, p27, or cyclin D1) – (Ct of GAPDH)], where Ct represents the threshold cycle for each transcript. The expression of miRNA was defined based on the threshold cycle (Ct), and relative expression levels were calculated as 2-[(Ct of miR-96) – (Ct of U6)] after normalization with reference to expression of U6 small nuclear RNA.

3-(4, 5-Dimethyl-2-thiazolyl)-2, 5-diphenyl-2H-tetrazolium bromide (MTT) assay

Cells, seeded on 96-well plates, were stained at indicated time point with 100 µl sterile MTT dye (0.5 mg/ml, Sigma) for 4 h at 37°C, followed by removal of the culture medium and addition of 150 µl of dimethyl sulphoxide (DMSO) (Sigma, St. Louis, MO, USA). The absorbance was measured at 570 nm, with 655 nm as the reference wavelength. All experiments were performed in triplicates.

Anchorage-independent growth ability assay

Five hundred cells were trypsinized and suspended in 2 ml complete medium plus 0.3% agar (Sigma, St Louis, MO). The agar–cell mixture was plated on top of a bottom layer with 1% complete medium agar mixture. After 10 days, viable colonies that contained more than 50 cells or were larger than 0.1 mm were counted. Colony size was measured with an ocular micrometer and colonies greater than 0.1 mm in diameter were counted. The experiment was performed for three independently times for each cell line.

Colony formation assays

Cells were plated on 6-well (0.5×103 cells per plate) and cultured for 10 days. The colonies were stained with 1.0% crystal violet for 30s after fixation with 10% formaldehyde for 5 min.

Bromodeoxyuridine labeling and immunofluorescence

Cells grown on coverslips (Fisher, Pittsburgh, PA) were incubated with bromodeoxyuridine (BrdUrd) for 1 h and stained with anti-BrdUrd antibody (Upstate, Temecula, CA) according to the manufacturer's instruction. Gray level images were acquired under a laser scanning microscope (Axioskop 2 plus, Carl Zeiss Co. Ltd., Jena, Germany).

Luciferase assays

Cells (3.5×104) were seeded in triplicates in 24-well plates and allowed to settle for 24 h. One hundred nanogram of p3x IRS-MLP -luciferase plasmid, or pGL3-FOXO3a-3′UTR(wt/mu), or the control-luciferase plasmid, plus 1 ng of pRL-TK renilla plasmid (Promega, Madison, WI), were transfected into breast cancers using the Lipofectamine 2000 reagent (Invitrogen Co., Carlsbad, CA) according to the manufacturer's recommendation. Luciferase and renilla signals were measured 48 h after transfection using the Dual Luciferase Reporter Assay Kit (Promega, Madison, WI) according to a protocol provided by the manufacturer. Three independent experiments were performed and the data are presented as the mean ± SD.

Flow cytometry analysis

All cells in a culture dish were harvested by trypsinization, washed in ice-cold PBS, and fixed in 80% ice-cold ethanol in PBS. Before staining, the cells were spun down in a cooled centrifuge and resuspended in the cold. Bovine pancreatic RNAase (Sigma-Aldrich) was added at a final concentration of 2 µg/ml, and cells were incubated at 37°C for 30 min, followed by incubation in 20 µg/ml of propidium iodide (Sigma-Aldrich) for 20 min at room temperature. 50,000 cells were analyzed on a flow cytometer (FACSCalibur; BD Biosciences).

Statistical analysis

The Student's t -test was used to evaluate the significant difference of two groups of data in all the pertinent experiments. A P value <0.05 (using a two-tailed paired t test) was thought to be significantly different for two groups of data.

Results

miR-96 is overexpressed in breast cancer cell lines and breast cancer tissues

Real-time PCR analyses revealed that miR-96 was significantly overexpressed in all nine examined breast cancer cell lines, including BT549, ZR-75-30, Bcap37, MDA-MB231, MDA-MB435, MCF-7, SKBR3, MDA-MB453 and T47D, as compared with that in normal breast epithelial cells (NBEC) (Figure 1A). Furthermore, comparative analysis revealed that miR-96 was differentially overexpressed in 15 examined samples paired with adjacent non-cancerous tissues from the same patient (Figure 1B), indicating that miR-96 is upregulated in breast cancer.

Figure 1. Upregulation of miR-96 promoted proliferation of breast cancer cells.

Figure 1

Open in a new tab

A, Real-time PCR analysis of miR-96 expression in normal breast epithelial cells (NBECs) and breast cancer cell lines, including BT549, ZR-75-30, Bcap37, MDA-MB231, MDA-MB435, MCF-7, SKBR3, MDA-MB453 and T47D. B, The expression of miR-96 was examined in 15 paired breast tumor tissues (tumor) and their adjacent normal tissues (normal). The average miR-96 expression was normalized by U6 expression. Each bar represents the mean of three independent experiments. C, Effects of miR-96 overexpression on the growth of breast cancer cells MCF-7 and ZR-75-30. MTT assays revealed that miR-96-transfected cells proliferated more rapidly than the vector control cells. D, Representative micrographs (left) and quantification (right) of crystal violet stained cell colonies. E, Quantification of Ki-67 positive cells in MCF-7 and ZR-75-30 cells transfected with miR-96 mimic and negative control (NC). F, Upregulation of miR-96 promoted breast cancer cell tumorigenicity as determined by anchorage-independent growth assay. Representative micrographs (left) and quantification of colonies that contained more than 50 cells (middle) or were larger than 0.1 mm (right) were scored. Each bar represents the mean of three independent experiments. * P<0.05.

Upregulation of miR-96 enhances proliferation and tumorigenicity of breast cancer cells

To investigate the biological role of miR-96 expression in the development and progression of breast cancer, we next transfected breast cancer cells MCF-7 and ZR-75-30 with hsa-miR-96 mimic oligonucleotides and examined its effect on cellular proliferation. By using MTT and colony formation assays, we observed that overexpression of miR-96 dramatically increased the growth rate of both breast cancer cells as compared with that of negative control (NC) transfected cells (Figure 1C and 1D). Furthermore, the expression of Ki-67, a well-known proliferative marker, was dramatically increased in miR-96 overexpressing-MCF-7 and -ZR-75-30 breast cancer cells compared with that in NC transfected cells (Figure 1E), suggesting that upregulation of miR-96 specifically promotes the proliferation of breast cancer cells. Moreover, ectopically expressing miR-96 in MCF-7 and ZR-75-30 breast cancer cells significantly enhanced their anchorage-independent growth ability, as indicated by the increase in colony numbers and sizes (Figure 1F), suggesting that upregulation of miR-96 could augment the tumorigenicity of breast cancer cells in vitro.

Overexpression of miR-96 regulates G1/S phase transition of breast cancer cells

To further explore the ability of miR-96 to promote cell proliferation, we analyzed miR-96 overexpressing MCF-7 and ZR-75-30 cells by flow cytometry, which showed a significant decrease in the percentage of cells in the G1/G0 peak and an increase in the percentage of cells in the S peak (Figure 2A). Furthermore, a higher percentage of miR-96 transfected MCF-7 cells (41.5%) and of miR-96 transfected ZR-75-30 cells (44.7%) showed newly synthesized DNA by the BrdUrd incorporation assay compared with MCF-7 control cells (26.2%) and ZR-75-30 control cells (30.5%) (Figure 2B). Collectively, our data suggest that enhancement of breast cancer cell growth by miR-96 may be mediated through regulation of cellular entry into the G1/S transitional phase.

Figure 2. miR-96 induced proliferation through increasing the proportion of S phase cells.

Figure 2

Open in a new tab

A, Flow cytometric analysis of indicated breast cancer cells transfected with miR-96 mimic or NC. B, Representative micrographs (left) and quantification of BrdU incorporating-cells after transfection with miR-96 or NC. C, Western blotting analysis of expression of p21Cip1, p27Kip1, cyclin D1, phosphorylated Rb (p-Rb) and total Rb protein in indicated cells. α-tubulin was used as a loading control. D, Real-time PCR analysis of expression of p21Cip1, p27Kip1, cyclin D1 in indicated cells. GAPDH was used as a loading control. Error bars represent mean ± SD from three independent experiments. * P<0.05.

miR-96 downregulates cell-cycle inhibitors p21Cip1 and p27Kip1 and upregulates cell cycle regulator cyclin D1

It is well known that CDK inhibitors p21Cip1 and p27Kip1 and CDK regulator cyclin D1 are critical in the regulation of G1/S transition [3]–[5]. Strikingly, the Western blotting and real-time PCR analyses revealed that p21Cip1 and p27Kip1 were downregulated and cyclin D1 was upregulated at both protein and mRNA levels in miR-96-overexpressing cells compared with control cells (Figure 2C and 2D). In parallel, the phosphorylation level of Rb, a downstream target protein of CDK, was associated with the change of expression levels of the abovementioned cell-cycle regulators, further supporting the notion that miR-96 plays an important role in the growth of breast cancer cells (Figure 2C).

Inhibition of miR-96 reduces the growth rate of breast cancer cells

The effect of inhibiting miR-96 on the proliferation of breast cancer cells was further examined. As shown in Figure 3A, suppression of miR-96 could increase the mRNA expression of p21Cip1 and p27Kip1 while decrease the cyclin D1 transcriptional level. Ectopically expressing the miR-96 inhibitor drastically increased the percentage of cells in the G0/G1 peak but decreased that in the S peak, indicating that inhibition of miR-96 induced G1/S arrest of breast cancer cells (Figure 3B). Moreover, the growth rates in MCF-7 and ZR-75-30 breast cancer cells after transfection with the hsa-miR-96 inhibitor were slower than that of NC transfected cells, as analyzed by an MTT assay (Figure 3C). Inhibition of miR-96 in MCF-7 and ZR-75-30 cells also significantly reduced the anchorage-independent growth of both breast cancer cell lines, as shown by the decrease in the colony numbers and colony sizes (Figure 3D).

Figure 3. Inhibition of miR-96 suppressed the proliferation of breast cancer cells.

Figure 3

Open in a new tab

A, Real-time PCR analysis of expression of p21Cip1, p27Kip1 and cyclin D1 in indicated cells. GAPDH was used as a loading control. Error bars represent mean ± SD from three independent experiments. B, Flow cytometric analysis of indicated breast cancer cells transfected with miR-96 inhibitor or NC. C, MTT assays revealed that inhibition of miR-96 reduced cell growth. D, Representative micrographs (left) and quantification of colonies that contained more than 50 cells (middle) or were larger than 0.1 mm (right) determined by anchorage-independent growth assays. Each bar represents the mean of three independent experiments. * P<0.05.

miR-96 directly targets the transcriptional factor FOXO3a in breast cancer cells

It has been demonstrated that the transcriptional factor FOXO3a can upregulate the expression of p21Cip1 and p27Kip1 and downregulate cyclin D1 at the transcriptional level [3]–[5], which prompted us to investigate whether the modulations of p27 Kip1, p21Cip1 and cyclin D1 levels by miR-96 are caused by the regulation of FOXO3a. Analysis using three publicly available algorithms (TargetScan, Pictar, miRANDA) indicated that FOXO3a is the theoretical target gene of miR-96 (Figure 4A). As predicted, ectopic expression of miR-96 in MCF-7 and ZR-75-30 cells decreased the expression of FOXO3a protein and the FOXO3a transcriptional activity, respectively (Figure 4B and 4C), indicating that upregulation of miR-96 results in the downregulation and decreased transactivity of FOXO3a. Consistent with this result, we found that FOXO3a was downregulated in the breast cancer cells where mir-96 was upregulated (Figure S1 and Figure 1A). Furthermore, we subcloned the FOXO3a 3′-untranslated region (3′-UTR) fragment containing the two miR-96 binding sites (REs) into the pEGFP-C3 and pGL3 dual luciferase reporter vectors. As shown in Figure 4D, ectopic expression of miR-96 in MCF-7 and ZR-75-30 breast cancer cells dramatically inhibited the GFP protein expression, but not the expression of GFP-γ-tubulin that was used as a control for transfection efficiency, suggesting that miR-96 specifically affected the FOXO3a-3′ UTR. Meanwhile, a consistent and dose-dependent reduction of luciferase activity was observed upon miR-96 transfection in both breast cancer cell lines (Figure 4E). Moreover, point mutations in the tentative miR-96-binding seed region in FOXO3a 3′-UTR abrogated the suppressive effect of FOXO3a mediated by miR-96 (Figure 4E). Taken together, our results demonstrate that FOXO3a is a bona fide target of miR-96.

Figure 4. miR-96 downregulated FOXO3a via directly targeting the FOXO3a 3′UTR.

Figure 4

Open in a new tab

A, Predicted miR-96 target sequences in 3′-UTR of FOXO3a (FOXO3a) and mutant containing two mutated nucleotides in 3′-UTR of FOXO3a (FOXO3a-mu). B, Western blotting analysis of FOXO3a expression in indicated cells. C, Relative FOXO3a reporter activities in the indicated cell lines. D, Western blotting analysis of GFP expression in indicated cells. E, Luciferase assays on MCF-7 or ZR-75-30 breast cancer cells transfected with the pGL3 control reporter, pGL3-FOXO3a-3′UTR reporter, or pGL3-FOXO3a-3′UTR-mu reporter and increasing amounts of miR-96 mimic oligonucleotides (20, 50 nM), as indicated. Error bars represent mean ± SD from three independent experiments. * P<0.05.

As expected, the luciferase levels of pGL3-FOXO3a-3′UTR in both breast cancer cell lines were restored after transfection with the miR-96 inhibitor (Figure 5A). Inhibiting miR-96 also resulted in the upregulation of FOXO3a proteins (Figure 5B). As shown by the luciferase reporter assay, inhibition of miR-96 decreased transactivities of FOXO3a in a dose-dependent manner in both breast cancer cell lines (Figure 5C), indicating that inhibition of miR-96 results in upregulation and increased transactivity of FOXO3a.

Figure 5. Inhibition of miR-96 activated the FOXO3a pathway.

Figure 5

Open in a new tab

A, Luciferase activity assay of indicated cells transfected with the pGL3-FOXO3a-3′UTR reporter with increasing amounts (20, 50 nM) of miR-96 mimic- or miR-96 inhibitor-oligonucleotides. B, Western blotting analysis of FOXO3a expression in indicated cells. C, Relative FOXO3a reporter activities in the indicated cell lines. Error bars represent mean ± SD from three independent experiments. * P<0.05.

FOXO3a plays an important role in miR-96-induced proliferation of breast cancer cells

In the attempt to understand the role of FOXO3a repression in miR-96-induced proliferation, the effects of FOXO3a (without 3′-UTR) and FOXO3a-3′-UTR (with 3′-UTR) were examined in the miR-96-overexpressing cells. As predicted, ectopically expressing FOXO3a significantly abrogated the miR-96 mediated-modulations of cell-cycle regulators, p27 Kip1, p21Cip1 and cyclin D1, but overexpression of FOXO3a-3′-UTR only partially attenuated the regulation of the abovementioned cell-cycle regulators by miR-96 overexpression (Figure 6A). In particular, the luciferase activity of FOXO3a reporter in miR-96-transfected cells could be rescued by overexpressing FOXO3a, while it was slightly restored by transfection with FOXO3a-3′-UTR (Figure 6B). Moreover, the MTT assay showed that co-transfection of miR-96 and FOXO3a significantly slowed the growth rate of both breast cancer cell lines (Figure 6C). However, the combination of FOXO3a-3′-UTR and miR-96 in the breast cancer cells had no obvious effect on the growth rate over that of breast cancer cells transfected only with miR-96 (Figure 6C). Taken together, our results suggest that suppression of FOXO3a plays an important role in promotion of cellular proliferation by miR-96.

Figure 6. FOXO3a plays an important role in miR-96-induced proliferation.

Figure 6

Open in a new tab

A, The expression of p21Cip1, p27Kip1 and cyclin D1 in indicated cells using real-time PCR analysis. GAPDH was used as a loading control. B, Relative FOXO3a reporter activity in the indicated cell lines. C, The growth rate of breast cancer cells transfected with miR-96 mimic, or mixed miR-96 and FOXO3a, or mixed miR-96 and FOXO3a-3′-UTR. D, Real-time PCR analysis of expression of miR-96, p27 and cyclin D1. E, Expression of FOXO3a, Ki67 (upper) and correlation (lower) analysis of miR-96, FOXO3a, Ki-67 in two normal human breast tissues and eight freshly prepared human breast cancer tissues. * P<0.05.

To further examine whether the conclusions above could be supported by observations in human primary tumors, the expression levels of miR-96, p27Kip1, cyclin D1, and FOXO3a were examined in new freshly prepared two normal human breast tissues and eight human breast tumor tissues. As shown in Figure 6D and 6E, miR-96 expression and cyclin D1 mRNA expression were markedly upregulated, but the expression levels of p27Kip1 mRNA and FOXO3a protein were downregulated in breast tumors tissues as compared with those in normal human breast tissues. The miR-96 expression positively correlated with cyclin D1 (r = 0.7392, P<0.01), whereas it negatively correlated with p27Kip1 (r = –0.7327, P<0.01). Furthermore, statistical analysis demonstrated that miR-96 expression not only inversely correlated with FOXO3a (r = −0.7577, P<0.001) but also significantly correlated with the Ki-67 level (r = 0.7151, P<0.001) (Figure 6E), which further strengthened the notion that miR-96 mediates proliferation of breast cancer through suppression of the transcriptional factor FOXO3a.

Discussion

The key finding of the current study is that miR-96 expression was markedly upregulated in breast cancer cells and breast cancer tissues as compared with that in normal breast epithelial cells and normal breast tissues. We further found that ectopic expression of miR-96 could enhance the proliferation and anchorage-independent growth of breast cancer cells, while inhibition of miR-96 reduced these effects. Moreover, we demonstrated that upregulation of miR-96 in breast cancer cells led to the downregulation of cyclin-dependent kinase (CDK) inhibitors, p27Kip1 and p21Cip1, and upregulation of the cell-cycle regulator cyclin D1 through downregulation of FOXO3a via directly targeting the 3′-UTR of FOXO3a. These findings suggest that deregulation of miR-96 may play an important role in promoting carcinogenesis and progression of breast cancer.

It has been reported that more than one million women are diagnosed with breast cancer, and more than 400,000 patients die due to the disease in the world each year [30]. To date, breast cancer is the most common malignancy diagnosed among women worldwide, and it is the second leading cause of cancer death. Although both genetic and environmental factors are considered to be major causes of breast cancer, the molecular mechanism of its development and progression remain largely unknown [31]–[32]. As a member of the forkhead transcriptional factor family, FOXO3a is a key tumor suppressor in breast cancer [33]. It has been reported that upregulation of FOXO3a in breast cancer cells exerts a general inhibitory effect on cell growth [14]. Zou and colleagues demonstrated that functional interaction between FOXO3a and ER plays an important role in inhibiting estrogen-dependent breast cancer cell growth and tumorigenesis in vivo [34]. Activation of FOXO3a, by paclitaxel, antibodies against EGFR (cetuximab)/HER2 (trastuzumab), or mitogen-activated protein/extracellular signal-regulated kinase kinase (MEK) 1/2 inhibitor, results in apoptosis in breast cancer cells, indicating that activation of FOXO3a inhibits proliferation and development of breast cancer [35]–[37]. Consistent with these reports, downregulation of FOXO3a could significantly augment IKKβ-mediated tumor growth in nude mice and lead to apoptosis resistance in conjunction with elevated glycolysis that is the important for tumor growth and survival, suggesting that FOXO3a is a determinant of tumor progression and chemotherapeutic response [14], [38]. Collectively, all these studies indicate that activation of FOXO3a may be a potential therapeutic intervention strategy for breast cancer.

miRNAs, a class of small regulatory RNA molecules that negatively regulate their mRNA targets in a sequence-specific manner, have been demonstrated to play important roles in multiple biological processes, such as cellular differentiation, proliferation, oncogenesis, angiogenesis, invasion and metastasis, and can function as either tumor suppressors or oncogenes [22]–[24]. In the current study, we found that miR-96 was significantly overexpressed in breast cancer cell lines as compared with that in NBEC. Meanwhile, the expression of miR-96 was shown to be upregulated in breast cancer tissues in comparison to that in adjacent non-cancerous tissues from the same patient. Furthermore, we demonstrated that ectopic expression of miR-96 drastically increased the growth rate of MCF-7 and ZR-75-30 cells over that of control cells, while suppression of miR-96 inhibited cell proliferation and the colony-forming ability of the cells on soft agar, indicating that upregulation of miR-96 may correlate with clinical breast cancer progression and function as an onco-miRNA. In fact, the expression level of miR-96 is frequently upregulated in various human tumor types, including colorectal cancer, hepatocellular tumors (HCC) and chronic myeloid leukemia cells [39]–[41].

Through bioinformatics analysis, the tumor suppressor FOXO3a gene was indicated as a theoretical targeted gene of miR-96. We were able to determine that FOXO3a is a bona fide target of miR-96 by three different methods. Western blotting analysis showed that overexpression of miR-96 resulted in the decrease of FOXO3a protein. Real-time PCR analysis determined that the downstream targets of FOXO3a, including cell-cycle inhibitors p21Cip1 and p27Kip1 were significantly downregulated, while the regulator cyclin D1 was upregulated in miR-96 transfected breast cancer cells. The luciferase activity assay and point mutation analysis demonstrated that the downregulation of FOXO3a was mediated by miR-96 through the FOXO3a-3′UTR. Furthermore, ectopically expressing FOXO3a (without 3′UTR) significantly abrogated the miR-96-induced proliferation, but transfection with FOXO3a-3′-UTR (with 3′UTR) only partially attenuated the proliferative enhancement by miR-96 overexpression, suggesting that the effect of miR-96 on proliferation of breast cancer cells may be though downregulation of FOXO3a via directly targeting the FOXO3a 3′-UTR. The biological function of miR-96 in protection against apoptosis and cell survival, as related to FOXO3a function, is currently under investigation in our laboratory.

Recently, several miRs were found to be involved in the regulation of the FOXO family of transcription factors. It was reported that miR-27a, miR-96, and miR-182 coordinately regulate the expression of FOXO1 through directly targeting the FOXO1 3′-UTR [42]. miR-155 was shown to regulate cell survival, growth and hemosensitivity by downregulating FOXO3a in breast cancer [27]. Wang and colleagues reported that upregulation of FOXO3a results in a decrease in miR-21 expression and suppressing its oncogenic activity, which further supports the notion that FOXO3a functions as a tumor suppressor [43]. Interestingly, Yu and colleagues found that miR-96 was downregulated in pancreatic cancer and functions as a tumor suppressor gene. However, we did not observe the obvious change of KRAS expression in breast cancer cells transfected with miR-96 (Data not shown), suggesting that a single miRNA may have several distinct functions in different cell types, which likely depends on the availability of specific targets or downstream effectors, as suggested by Hyun et al. and Betel et al. [44]–[45]. Indeed, it has been reported that miR-26 is amplified in high-grade glioma and facilitates gliomagenesis through downreregulation of the tumor suppressor PTEN [46]. However, Ji and colleagues found that miR-26 was downregulated and was associated with hepatocellular carcinoma via activation of the NF-κB pathway [47]. Meanwhile, overexpressing miR-30 could inhibit apoptosis through repression of p53 expression in cardiomyocytes [48], but upregulation of miR-30 in breast cancer cells induced apoptosis by targeting Ubc9 [49].

In summary, the current study provides, for the first time, an important link between miR-96-mediated proliferation of breast cancer cells and downregulation of FOXO3a. Our findings suggest an essential role of miR-96 in the regulation of breast cancer cells proliferation. Understanding the precise role played by miR-96 in breast cancer progression will not only increase our knowledge of the biology of the tumor but its inhibition may also allow development of a novel therapeutic strategy.

Supporting Information

Figure S1

FOXO3a is downregulated in breast cancer cells. Western blotting analysis of FOXO3a expression in normal breast epithelial cells (NBECs) and breast cancer cell lines, including BT549, ZR-75-30, Bcap37, MDA-MB231, MDA-MB435, MCF-7, SKBR3, MDA-MB453 and T47D. α-tubulin was used as a loading control.

(TIF)

Click here for additional data file. (231.6KB, tif)

Footnotes

Competing Interests: The authors have declared that no competing interests exist.

Funding: All grant information: The Natural Science Foundation of China (No. 81071780, 81030048, 30770836, 30771110, 30870963, 30831160517); Program for New Century Excellent Talents in Universities (No. NCET-07-0877); The Science and Technology Department of Guangdong Province, China (No. 2009B030801188, 8251008901000006, 2008A030201006); Ministry of Education of China [No.(2008)890 and No. 200805580047]; Department of Health of Guangdong Province (No. A2009215); the Fundamental Research Funds for the Central Universities (No. 10ykzd03). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

References

  • 1.Greer EL, Brunet A. FOXO transcription factors at the interface between longevity and tumor suppression. Oncogene. 2005;24:7410–25. doi: 10.1038/sj.onc.1209086. [DOI] [PubMed] [Google Scholar]
  • 2.Huang H, Tindall DJ. Dynamic FoxO transcription factors. J Cell Sci. 2007;120:2479–87. doi: 10.1242/jcs.001222. [DOI] [PubMed] [Google Scholar]
  • 3.Medema RH, Kops GJ, Bos JL, Burgering BM. AFX-like Forkhead transcription factors mediate cell-cycle regulation by Ras and PKB through p27kip1. Nature. 2000;404:782–787. doi: 10.1038/35008115. [DOI] [PubMed] [Google Scholar]
  • 4.Kops GJ, Medema RH, Glassford J, Essers MA, Dijkers PF, et al. Control of cell cycle exit and entry by protein kinase B-regulated forkhead transcription factors. Mol Cell Biol. 2002;22:2025–2036. doi: 10.1128/MCB.22.7.2025-2036.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Schmidt M, Fernandez de Mattos S, van der Horst A, Klompmaker R, Kops GJ, et al. Cell cycle inhibition by FoxO forkhead transcription factors involves downregulation of cyclin D. Mol Cell Biol. 2002;22:7842–7852. doi: 10.1128/MCB.22.22.7842-7852.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.You H, Pellegrini M, Tsuchihara K, Yamamoto K, Hacker G, et al. FOXO3a-dependent regulation of Puma in response to cytokine/growth factor withdrawal. J Exp Med. 2006;203:1657–63. doi: 10.1084/jem.20060353. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Dijkers PF, Medema RH, Lammers JW, Koenderman L, Coffer PJ. Expression of the pro-apoptotic Bcl-2 family member Bim is regulated by the forkhead transcription factor FKHR-L1. Curr Biol. 2000;10:1201–1204. doi: 10.1016/s0960-9822(00)00728-4. [DOI] [PubMed] [Google Scholar]
  • 8.Yang JY, Xia W, Hu MC. Ionizing radiation activates expression of FOXO3a, Fas ligand, and Bim, and induces cell apoptosis. Int J Oncol. 2006;29:643–648. [PMC free article] [PubMed] [Google Scholar]
  • 9.Modur V, Nagarajan R, Evers BM, Milbrandt J. FOXO proteins regulate tumor necrosis factor-related apoptosis inducing ligand expression. Implications for PTEN mutation in prostate cancer. J Biol Chem. 2002;277:47928–47937. doi: 10.1074/jbc.M207509200. [DOI] [PubMed] [Google Scholar]
  • 10.Tran H, Brunet A, Grenier JM, Datta SR, Fornace AJ, Jr, et al. DNA repair pathway stimulated by the forkhead transcription factor FOXO3a through the Gadd45 protein. Science. 2002;296:530–534. doi: 10.1126/science.1068712. [DOI] [PubMed] [Google Scholar]
  • 11.Sakoe Y, Sakoe K, Kirito K, Ozawa K, Komatsu N. FOXO3A as a key molecule for all-trans retinoic acid-induced granulocytic differentiation and apoptosis in acute promyelocytic leukemia. Blood. 2010;115:3787–95. doi: 10.1182/blood-2009-05-222976. [DOI] [PubMed] [Google Scholar]
  • 12.Tsai WB, Chung YM, Takahashi Y, Xu Z, Hu MC. Functional interaction between FOXO3a and ATM regulates DNA damage response. Nat Cell Biol. 2008;10:460–7. doi: 10.1038/ncb1709. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Aoki M, Jiang H, Vogt PK. Proteasomal degradation of the FoxO1 transcriptional regulator in cells transformed by the P3k and Akt oncoproteins. Proc Natl Acad Sci U S A. 2004;101:13613–7. doi: 10.1073/pnas.0405454101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Hu MC, Lee DF, Xia W, Golfman LS, Ou-Yang F, et al. IkappaB kinase promotes tumorigenesis through inhibition of forkhead FOXO3a. Cell. 2004;117:225–237. doi: 10.1016/s0092-8674(04)00302-2. [DOI] [PubMed] [Google Scholar]
  • 15.Paik JH, Kollipara R, Chu G, Ji H, Xiao Y, et al. FoxOs are lineage-restricted redundant tumor suppressors and regulate endothelial cell homeostasis. Cell. 2007;128:309–23. doi: 10.1016/j.cell.2006.12.029. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Bouchard C, Lee S, Paulus-Hock V, Loddenkemper C, Eilers M, et al. FoxO transcription factors suppress Myc-driven lymphomagenesis via direct activation of Arf. Genes Dev. 2007;21:2775–87. doi: 10.1101/gad.453107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Brunet A, Bonni A, Zigmond MJ, Lin MZ, Juo P, et al. Akt promotes cell survival by phosphorylating and inhibiting a Forkhead transcription factor. Cell. 1999;96:857–868. doi: 10.1016/s0092-8674(00)80595-4. [DOI] [PubMed] [Google Scholar]
  • 18.Brunet A, Park J, Tran H, Hu LS, Hemmings BA, et al. Protein kinase SGK mediates survival signals by phosphorylating the forkhead transcription factor FKHRL1 (FOXO3a). Mol. Cell. Biol. 2001;21:952–965. doi: 10.1128/MCB.21.3.952-965.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Brunet A, Kanai F, Stehn J, Xu J, Sarbassova D, et al. 14-3-3 transits to the nucleus and participates in dynamic nucleocytoplasmic transport. J Cell Biol. 2002;156:817–828. doi: 10.1083/jcb.200112059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Ambros V. The functions of animal microRNAs. Nature. 2004;431:350–355. doi: 10.1038/nature02871. [DOI] [PubMed] [Google Scholar]
  • 21.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]
  • 22.Gregory RI, Shiekhattar R. MicroRNA biogenesis and cancer. Cancer Res. 2005;65:3509–12. doi: 10.1158/0008-5472.CAN-05-0298. [DOI] [PubMed] [Google Scholar]
  • 23.Calin GA, Croce CM. MicroRNA signatures in human cancers. Nat Rev Cancer. 2006:857–66. doi: 10.1038/nrc1997. [DOI] [PubMed] [Google Scholar]
  • 24.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]
  • 25.Greene FL, Page DL, Fleming ID, Fritz AG, Balch CM, et al. TNM Classification of Malignant Tumors. 6th edition. New York: Springer Verlag; 2002. Breast cancer: in AJCC Cancer Staging Handbook. pp. 255–81. [Google Scholar]
  • 26.Kong W, He L, Coppola M, Guo J, Esposito NN, et al. MicroRNA-155 regulates cell survival, growth, and chemosensitivity by targeting FOXO3a in breast cancer. J Biol Chem. 2010;285:17869–79. doi: 10.1074/jbc.M110.101055. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 27.Segura MF, Hanniford D, Menendez S, Reavie L, Zou X, et al. Aberrant miR-182 expression promotes melanoma metastasis by repressing FOXO3 and microphthalmia-associated transcription factor. Proc Natl Acad Sci U S A. 2009;106:1814–9. doi: 10.1073/pnas.0808263106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Tang ED, Nuñez G, Barr FG, Guan KL. Negative regulation of the forkhead transcription factor FKHR by Akt. J Biol Chem. 1999;274:16741–6. doi: 10.1074/jbc.274.24.16741. [DOI] [PubMed] [Google Scholar]
  • 29.Li J, Zhang N, Song LB, Liao WT, Jiang LL, et al. Astrocyte elevated gene-1 is a novel prognostic marker for breast cancer progression and overall patient survival. Clin Cancer Res. 2008;14:3319–26. doi: 10.1158/1078-0432.CCR-07-4054. [DOI] [PubMed] [Google Scholar]
  • 30.Parkin DM. Global cancer statistics in the year 2000. Lancet Oncol. 2001;2:532–42. doi: 10.1016/S1470-2045(01)00486-7. [DOI] [PubMed] [Google Scholar]
  • 31.Robbins P, Pinder S, de Klerk N, Dawkins H, Harvey J, et al. Histological grading of breast carcinomas: a study of interobserver agreement. Hum Pathol. 1995;26:873–9. doi: 10.1016/0046-8177(95)90010-1. [DOI] [PubMed] [Google Scholar]
  • 32.Galea MH, Blamey RW, Elston CE, Ellis IO. The Nottingham Prognostic Index in primary breast cancer. Breast Cancer Res Treat 1992; 1992;22:207–19. doi: 10.1007/BF01840834. [DOI] [PubMed] [Google Scholar]
  • 33.Accili D, Arden KC. FoxOs at the crossroads of cellular metabolism, differentiation, and transformation. Cell. 2004;117:421–426. doi: 10.1016/s0092-8674(04)00452-0. [DOI] [PubMed] [Google Scholar]
  • 34.Zou Yiyu, Tsai Wen-Bin, Cheng Chien-Jui, Hsu Chiun, Chung Young Min, et al. Forkhead box transcription factor FOXO3a suppresses estrogen-dependent breast cancer cell proliferation and tumorigenesis. Breast Cancer Research. 2008;10:R21–34. doi: 10.1186/bcr1872. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Real PJ, Benito A, Cuevas J, Berciano MT, de Juan A, et al. Blockade of epidermal growth factor receptors chemosensitizes breast cancer cells through up-regulation of Bnip3L. Cancer Res. 2005;65:8151–7. doi: 10.1158/0008-5472.CAN-05-1134. [DOI] [PubMed] [Google Scholar]
  • 36.Sunters A, Fernández de Mattos S, Stahl M, Brosens JJ, et al. FoxO3a transcriptional regulation of Bim controls apoptosis in paclitaxel-treated breast cancer cell lines. J Biol Chem. 2003;278:49795–805. doi: 10.1074/jbc.M309523200. [DOI] [PubMed] [Google Scholar]
  • 37.Yang JY, Chang CJ, Xia W, Wang Y, Wong KK, et al. Activation of FOXO3a is sufficient to reverse mitogen-activated protein/extracellular signal-regulated kinase kinase inhibitor chemoresistance in human cancer. Cancer Res. 2010;70:4709–18. doi: 10.1158/0008-5472.CAN-09-4524. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Khatri S, Yepiskoposyan H, Gallo CA, Tandon P, Plas DR. FOXO3a regulates glycolysis via transcriptional control of tumor suppressor TSC1. J Biol Chem. 2010;285:15960–5. doi: 10.1074/jbc.M110.121871. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Bandrés E, Cubedo E, Agirre X, Malumbres R, Zárate R, et al. Identification by Real-time PCR of 13 mature microRNAs differentially expressed in colorectal cancer and non-tumoral tissues. Mol Cancer. 2006;5:29; 1–10. doi: 10.1186/1476-4598-5-29. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Pineau P, Volinia S, McJunkin K, Marchio A, Battiston C, et al. miR-221 overexpression contributes to liver tumorigenesis. Proc Natl Acad Sci U S A. 2010;107:264–9. doi: 10.1073/pnas.0907904107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Agirre X, Jiménez-Velasco A, San José-Enériz E, Garate L, Bandrés E, et al. Down-regulation of hsa-miR-10a in chronic myeloid leukemia CD34+ cells increases USF2-mediated cell growth. Mol Cancer Res. 2008;6:1830–40. doi: 10.1158/1541-7786.MCR-08-0167. [DOI] [PubMed] [Google Scholar]
  • 42.Guttilla IK, White BA. Coordinate regulation of FOXO1 by miR-27a, miR-96, and miR-182 in breast cancer cells. J Biol Chem. 2009;284:23204–16. doi: 10.1074/jbc.M109.031427. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Wang K, Li PF. Foxo3a regulates apoptosis by negatively targeting miR-21. J Biol Chem. 2010;285:16958–66. doi: 10.1074/jbc.M109.093005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Hyun S, Lee JH, Jin H, Nam J, Namkoong B, et al. Conserved MicroRNA miR-8/miR-200 and its target USH/FOG2 control growth by regulating PI3K. Cell. 2009;139:1096–108. doi: 10.1016/j.cell.2009.11.020. [DOI] [PubMed] [Google Scholar]
  • 45.Betel D, Koppal A, Agius P, Sander C, Leslie C. Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites. Genome Biol. 2010;11:R90. doi: 10.1186/gb-2010-11-8-r90. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Huse JT, Brennan C, Hambardzumyan D, Wee B, Pena J, et al. The PTEN-regulating microRNA miR-26a is amplified in high-grade glioma and facilitates gliomagenesis in vivo. Genes Dev. 2009;23:1327–37. doi: 10.1101/gad.1777409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Ji J, Shi J, Budhu A, Yu Z, Forgues M, et al. MicroRNA expression, survival, and response to interferon in liver cancer. N Engl J Med. 2009;361:1437–47. doi: 10.1056/NEJMoa0901282. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Li J, Donath S, Li Y, Qin D, Prabhakar BS, et al. miR-30 regulates mitochondrial fission through targeting p53 and the dynamin-related protein-1 pathway. PLoS Genet. 2010;6:e1000795. doi: 10.1371/journal.pgen.1000795. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Yu F, Deng H, Yao H, Liu Q, Su F, et al. Mir-30 reduction maintains self-renewal and inhibits apoptosis in breast tumor-initiating cells. Oncogene. 2010;29:4194–204. doi: 10.1038/onc.2010.167. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1

FOXO3a is downregulated in breast cancer cells. Western blotting analysis of FOXO3a expression in normal breast epithelial cells (NBECs) and breast cancer cell lines, including BT549, ZR-75-30, Bcap37, MDA-MB231, MDA-MB435, MCF-7, SKBR3, MDA-MB453 and T47D. α-tubulin was used as a loading control.

(TIF)

Click here for additional data file. (231.6KB, tif)

Articles from PLoS ONE are provided here courtesy of PLOS

RESOURCES