Transforming growth factor-β-induced miR‑143 expression in regulation of non-small cell lung cancer cell viability and invasion capacity in vitro and in vivo

  • Authors:
    • Tianli Cheng
    • Chengping Hu
    • Huaping Yang
    • Liming Cao
    • Jian An
  • View Affiliations

  • Published online on: August 27, 2014
  • Pages: 1977-1988
Metrics: HTML 0 views | PDF 0 views     Cited By (CrossRef): 0 citations


Altered expression of miRNAs contributes to development and progression of non-small cell lung cancer (NSCLC), while transforming growth factor-β (TGF-β) promotes NSCLC cell epithelial-mesenchymal transition. This study aimed to investigate the effects of TGF-β-induced miR‑143 expression in regulation of NSCLC cell viability, invasion capacity in vitro, and xenograft formation and growth in nude mice. NSCLC A549 cells treated with TGF-β were subjected to miRNA microarray analysis and miR‑143 was selected for further study of tumor cell viability, wound healing, invasion capacity in vitro, and tumor growth in nude mice. TGF-β treatment upregulated expression of 16 miRNAs and downregulated expression of 42 miRNAs in A549 cells. qRT-PCR and in situ hybridization data showed that miR‑143 was significantly downregulated in 24 NSCLC and lymph node metastatic tumor tissues, but upregulated by TGF-β treatment in A549 cells. In vitro experiments showed that miR‑143 expression could significantly suppress NSCLC cell viability and invasion capacity, and nude mouse experiments confirmed the in vitro data. Bioinformatic data predicted that Smad3, CD44 and K-Ras were the targeting genes of miR‑143. TGF-β-induced miR‑143 expression was associated with suppressed expression of Smad3, CD44, and K-Ras. This study sheds light on the role of TGF-β in upregulation of miR‑143 and the role of miR‑143 in NSCLC progression, indicating that the target of miR‑143 expression could be further studied as a novel therapeutic strategy for future control of NSCLC.


Lung cancer is the leading cause of cancer deaths in the world and cancer metastasis is the major cause of death in lung cancer patients (1). Non-small cell lung cancer (NSCLC) accounts for ~85% of all lung cancer cases, and to date, its overall 5-year survival rate is ~15% (2). Lung cancer is expected to remain a major health hurdle for the next 40–50 years (3,4). Therefore, development of effective therapies for NSCLC is urgently needed.

miRNAs are small non-coding RNAs that can degrade target mRNA and suppress protein translation (5,6). miRNAs could post-transcriptionally regulate gene expression and therefore, modulate cell function and homeostasis and act as tumor suppressor genes or oncogenes (7). On average, each miRNA is estimated to be able to regulate several hundred protein-coding genes, and ~60% of proteins in cells is thought to be regulated by miRNAs (8,9). Thus, changes in miRNA expression pattern are linked to profound effects on cell phenotypes, and miRNAs have an emerging role in diverse physiological and pathological processes (10). In this regard, altered miRNA expression will lead to human carcinogenesis and cancer progression. For example, miR-143 targets K-Ras, Bcl-2, and other genes to regulate tumor cell proliferation and invasion capacity (11,12). Furthermore, transforming growth factor-β (TGF-β) acts as a tumor suppressor in normal tissues, but the suppressive effects are lost during early carcinogenesis of advanced tumors.

TGF-β-induced epithelial-to-mesenchymal transition (EMT) contributes to human carcinogenesis (1315). EMT usually occurs during critical phases of embryonic development (such as mesoderm and neural tube formation), wound healing, or initiation of metastasis during cancer progression. During EMT, epithelial cells lose polarity and cell-cell adhesion, and acquire migration and invasion properties of mesenchymal cells (1315). At the gene level, various genes participate in EMT; for example, TGF-β, a protein that controls proliferation, cellular differentiation, and other functions in most human cells, can promote NSCLC cell EMT (1618). However, it is unknown how TGF-β regulates miRNA expression or EMT to regulate cell apoptosis and tumor progression and whether there is a relationship between miR-143 and TGF-β, previous studies indeed show that miR-143 can regulate EMT and tumor cell growth and apoptosis (1921). For example, Davis et al showed that TGF-β interacts with myocardin (Myocd) or Myocd-related transcription factors to induce pri-miR-143/145 expression and in turn, miR-143/145 downregulates KLF4 transcription to control vascular smooth muscle cells contractile phenotypes and mediate induction of contractile genes (22). Thus, in this study, we investigated the effects of TGF-β induction on miR-143 expression and then assessed the effects of miR-143 expression or knockdown on the regulation of NSCLC cell viability and invasion capacity in vitro, along with xenograft formation and growth in nude mice.

Materials and methods

Cell line and culture

Human NSCLC A549 cell line was purchased from American Type Culture Collection (ATCC, Manassas, VA, USA) and cultured with RPMI-1640 medium supplemented with 10% (v/v) heat-inactivated fetal bovine serum (Hyclone Laboratories, Inc., Logan, UT, USA) in an atmosphere of 95% air and 5% CO2 at 37°C. Recombinant human TGF-β was purchased from R&D Systems (MN, USA) and used to treat the cultured cells (400 pM). Cells were cultured under starvation conditions (0.2% FBS) overnight (~16 h) prior to growth factor stimulation as described previously (23).

miRNA microarray analysis

Total cellular RNA was isolated from the cultured cells using TRIzol reagent (Invitrogen, Carlsbad, CA, USA) and purified using an RNA easy mini kit (Qiagen, Frankfurt, Germany) according to the manufacturer’s instructions. The isolated RNA samples were quantified using a Nanodrop instrument (Thermo Fisher, Wilmington, DE, USA) and then labeled with the miRCURY™ Hy3™/Hy5™ Power labeling kit (Qiagen). After that, the labeled RNA samples were used as probes to hybridize onto the miRCURY™ LNA Array (v.2.0, Affymetrix) in a hybridization station (Capitalbio, Beijing, China) according to a previous study (24). The array sections were scanned using the Axon GenePix 4000B microarray scanner (Capitalbio) and the data were read and analyzed using GenePix pro V6.0 software (Capitalbio) for the raw intensity of the images.

The threshold value used to screen up- and downregulated miRNAs was the degree of change (≥1.5- and ≤0.75-fold; p≤0.05). A heat map diagram was used to display data for two-way hierarchical clustering of genes and samples.

Quantitative reverse transcription-polymerase chain reaction (qRT-PCR)

Total cellular RNA was isolated using a TRIzol® reagent (Invitrogen) from cultured cells. RT reactions were performed using the iScript cDNA synthesis kit (Bio-Rad, Hercules, CA, USA) and qPCR was performed in a Bio-Rad IQTM5 Multicolor Real-Time PCR detection system (Bio-Rad). The qPCR cycle was set an initial 98°C for 2 min, 40 cycles of 95°C for 15 sec, 60°C for 30 sec, and a final melt-curve analysis (60–95°C) was included. The standard curve was produced with slopes at ~−3.32 (~100% efficiency); miRNA PCR quantification used the 2ΔΔct method against the U6 for normalization. mRNA PCR quantification used the 2ΔΔct method against the β-actin for normalization. The data are representative of the means of three experiments. Primers for qPCR were designed to detect miRNA based on the miRNA sequences provided by the Sanger Center miRNA Registry, were and synthesized and purified by Shanghai Gene-Pharma Co. (Shanghai, China). Mature miRNA primers and mRNA are described in Table I. They were all synthesized and purified by GenePharma Co.

Table I

Primer sequences.

Table I

Primer sequences.

PrimerPrimer sequences
miRNA primers
mRNA primers
Immunohistochemistry and in situ hybridization

Human NSCLC tissue specimens and nude mouse xenografts were fixed in formalin and embedded in paraffin for preparation of tissue sections for immunohistochemistry and in situ hybridization. Tissue sections 4–6-μm thick were dewaxed and re-hydrated. For immunohistochemistry, the sections were heated in a microwave in an antigen retrieval buffer (0.01 M citrate buffer, pH 6.0) for 5 min, incubated in 3% H2O2 solution in phosphate-buffered saline (PBS) at room temperature for 30 min to block potential endogenous peroxidase activity, and then incubated in 20% normal goat serum to block nonspecific binding of the secondary antibody. Then the tissue sections were incubated with a primary antibody, Smad3 at a dilution of 1:50; CD44 at a 1:50 dilution (both from Cell Signaling Technology, Danvers, MA, USA, or K-Ras from Millipore, Billerica, USA at a 1:50 dilution) at 4°C overnight in a humidified chamber. The next day, after washing with PBS three times, the sections were further incubated with a biotinylated goat anti-rabbit IgG antibody (UltraSensitive S-P kit, Maixin Biotechnology Co., Fuzhou, China).

For in situ hybridization, the rehydrated tissue sections were transferred into a 3% H2O2 and protease buffer for inactivation of endogenous peroxidase. The sections were then treated with pepsin solution diluted in 3% citric acid, and were hybridized overnight at 59°C with a 50 nM DIG-labeled locked nucleic acid (LNA)-based probe specific for miR-143 or LNA-src-miR negative control probe (Exiqon, Vedbaek, Denmark). After rinsing in the washing buffer, the sections were blocked in blocking buffer. An antibody specific for DIG-AP Fab fragments antibody was applied to the sections.

For color reaction, both immunohistochemical and hybridized sections were then washed and incubated in 3′-diaminobenzidine hydrochloride (DAB) solution and then briefly counterstained with haematoxylin solution. The sections were then dehydrated and mounted for review and scoring under an Olympus microscope (Model BX-51, Tokyo, Japan). For negative and blank control of immunohistochemistry, goat serum and PBS were used to replace the primary antibody, respectively. A semi-quantitative scoring criterion was used for these sections, in which two pathologists independently in a blinded manner recorded staining intensity and percentage of positively stained tumor cells. For the staining intensity, we used 0 to represent no staining, 1 for weak staining, 2 for positive staining, and 3 for strongly positive staining. For percentage values, we scored the sections as 1 for 0–25% stained, 2 for 26–50% stained, 3 for 51–75% stained, and 4 for 76–100% stained tumor cells. The sum of both counts was used as the final score for each case. A total score <8 was considered a low level of expression, while a total score ≥8 was considered high-level expression.

siRNA and transfection into NSCLC cells

To knock down Smad3 expression in NSCLC cells, we utilized Smad3 siRNA; for a negative control, we used non-targeting scrambled siRNA (both from Qiagen). Smad3 siRNA and control siRNA (40 nM) were then transfected into NSCLC cells using RNAi Max kit (Qiagen) according to the manufacturer’s instructions. After 24 h, the cells were used for phenotypic and gene expression experiments.

Cell viability MTT assay

Cells were seeded at a density of 5×103 cells/well in 96-well plates 24 h after siRNA transfection and incubated for 24 h. After that, 20 μl of MTT solution (5 mg/ml) was added to each well, and the cell culture plates were further incubated for additional 4 h at 37°C. The growth medium was removed and replaced with 150 μl of dimethyl sulfoxide (DMSO) in each well to dissolve MTT formaz crystals for 10 min; optical density (OD) was measured using a scanning multi-well spectrophotometer at a wavelength of 490 nm. Six parallel wells were measured each time, and the experiment was repeated three times.

Wound healing assay

Cells were transfected with miR-143 mimics and grown to 90% confluency in a 6-well dish. A wound was created using a sterile 10-μl pipette tip, followed by a wash with 1X PBS to remove detached cells. The cells were then further cultured in the growth medium containing 5% FCS for up to 48 h, during which cell migration at the corresponding wound site was documented using a Nikon microscope (Nikon) at 0, 24 and 48 h. The wound distance was then measured, and the mean and standard deviation of each treatment were determined.

Tumor cell Transwell invasion assay

Corning Costar Transwell 24-well plate inserts (8-μm pores; Corning) were coated with 20 μl of Matrigel (BD, New York, USA) and placed in the cell culture hood for 1 h at 37°C. Cells (2×104) were then seeded into the upper chambers of the inserts after transfections, while normal growth medium was placed in the bottom chambers. Cells were then allowed to grow for 24 or 48 h. The invaded cells were fixed in 100% methanol for 1 min and allowed to air dry. Invasive cells on the lower surface of the membrane were stained by dipping inserts in 1% crystal violet staining solution for 2 min and were counted. Specifically, five randomly selected 20x microscopic fields of cells were counted per insert.

Nude mouse xenograft assay

Nude mice were obtained from Slaccas Co. (Shanghai, China), and the A549 cells overexpressing LAN-miR-143 were injected subcutaneously (1×106 cells per mouse with five mice per group). After that, the mice were monitored for xenograft formation and growth for 21 days. At the end of experiments, the mice were sacrificed and xenografts were removed and weighed.

Luciferase report assay

We first performed bioinformatical analysis of miR-143-targeted genes using web tools (such as TargetScan and pictar) and found Smad3, CD44, and K-Ras as the putative miR-143-targeted genes. We then constructed a PMIR vector carrying Smad3, CD44, K-Ras-binding site sequences or their deletion mutation sequences. Binding of miR-143 to these gene sequences was assessed using a Luciferase reporter system from Sigma Chemical Co. (St. Louis, MO, USA) according to the kit instructions.

Protein extraction and western blotting

Protein extraction and western blotting were performed as described previously (11). Protein samples (50 μg each) were resolved on 10% SDS-polyacrylamide gels. The proteins were then transferred onto PVDF membranes, incubated with 5% skim milk at room temperature in TBS-T (20 mM Tris-HCl, pH 7.5, 500 mM NaCl (13,14), and 0.1% Tween-20), and then further incubated at 4°C overnight with a primary mouse monoclonal antibody against Smad3, CD44 or K-Ras (Cell Signaling Technologies, Cambridge, UK) at a dilution of 1:1,000, or a rabbit polyclonal anti-β-actin antibody from Boshide (Wuhan, China). After washing three times with TBS-T, the membranes were incubated with a secondary antibody for 1 h at room temperature. Finally, peroxide and luminol solutions of 40:1 were added to cover the whole membrane surface for 5 min at room temperature, and positive protein bands were visualized by placing the membrane in a developing cassette against X-ray film.

Statistical analysis

All experimental data were summarized as mean ± standard deviation, if possible, and statistically analyzed using SPSS 17.0. (SPSS, Chicago, IL, USA). The Student’s t-test was used to compare between two groups. Two-way ANOVA was used to compare differences among three or more experimental groups. All p-values were two-sided and values <0.05 were considered statistically significant.


TGF-β induces miR-143 expression in NSCLC cells

To explore the molecular mechanisms by which TGF-β induces cell contractile phenotype in NSCLC cells, we first grew and treated A549 cells with either 400-pM TGF-β or PBS (as a control) for 48 h, and then performed a miRNA chip array analysis. We found 16 upregulated and 42 downregulated miRNAs in NSCLC cells after TGF-β treatment. A heat map diagram analysis showed that the maximally upregulated miRNA was in the miR-143/145 cluster, and the maximally downregulated miRNA was miR-1972 (Fig. 1A). We then verified expression of four upregulated and four downregulated miRNAs using qPCR (Fig. 1B). We then assessed expression of the miR-143 cluster and pri-miR-143/145 in NSCLC cells after treatment with TGF-β for different periods of time. Pri-miR-143/145 expression was dramatically upregulated after 4 h after TGF-β treatment and reached a maximum at 8 h after treatment (a 7.9-fold increase, Fig. 1C).

Downregulation of miR-143 expression in NSCLC tissue specimens

To confirm the altered miR-143 expression ex vivo, we performed qRT-PCR analysis of miR-143 in 24 cases of matched NSCLC and the corresponding distant normal tissue specimens and in lymph node metastasized NSCLCs. As shown in Fig. 2A, levels of miR-143 expression were significantly reduced by 1.2–9.8-fold in 87.5% (21 of 24) of NSCLC tumor tissues compared to the corresponding distant normal lung tissues; miR-143 expression was further reduced by 1.5–65.7-fold in 91.7% (22 in 24) of lymph node metastasized NSCLCs (Fig. 2A). Next, we assessed expression of miR-143 in a panel of NSCLC tissue specimens using in situ hybridization with similar findings (Fig. 2B).

Effects of miR-143 on regulation of A549 cell viability and invasion capacity

To explore the role of miR-143 in NSCLC cells, we transfected miR-143 mimics (miR-143) and negative controls (miR-NC), or miR-143 inhibitors (antagomiR-143) and inhibitor controls (antagomiR NC) into A549 cells. Expression of miR-143 inhibited A549 cell viability, whereas miR-143 inhibitors increased A549 cell viability (Fig. 3A). Moreover, during tumor cell wound healing assays, over-expression of miR-143 significantly delayed closure of the wound in a time-dependent manner, whereas miR-143 inhibitor promoted the wound healing (Fig. 3B). During a Transwell tumor cell invasion assay, the number of cells transfected with miR-143 mimics that passed through the 8-μm pore insert underneath the well was significantly less than the number of cells transfected with negative control. The miR-143 inhibitor obviously promoted the invasion capacity of A549 cells (Fig. 3C and D).

The in vivo role of miR-143 in tumor cell growth was also assessed using a nude mouse xenograft assay. Following subcutaneous injection of LAN-miR-143-overexpressed A549 cells into nude mice, xenografts from miR-143-overexpressed-A549 cells were much smaller than those from control mice (n=4–5/group, p<0.05; Fig. 3E). The tumor volume of xenografts from miR-143-overexpressed A549 cells was also smaller than from control cells (Fig. 3F).

miR-143 downregulation of Smad3, CD44, and K-Ras expression in NSCLC cells

To elucidate the underlying molecular events of miR-143 expression in NSCLC cells, putative target genes of miR-143 were searched using online algorithms for miRNA target prediction (i.e., Pictar, RNAhybrid, and TargetScan). We found that Smad3, CD44, or K-Ras could be the target gene. The schematic diagram of miR-143 binding sites in Smad3 3′-UTR is shown in Fig. 4A. To verify the diagram, we constructed a luciferase reporter vector using cloned Smad3 3′-UTR, both wild-type and mutant sequences (Fig. 4B), and performed gene transfection and a luciferase assay. We observed a significant decrease in luciferase activity in cells overexpressing miR-143. In contrast, luciferase activity of mutant 3′-UTR remained unchanged in cells overexpressing miR-143 (Fig. 4C), indicating that miR-143 did bind to Smad3 3′-UTR. After that, we performed qRT-PCR and western blot analyses to confirm that miR-143 overexpression inhibited expression of endogenous Smad3 mRNA and protein, in NSCLC A549 cell lines. The knockdown of miR-143 expression resulted in upregulation of endogenous Smad3 expression (Fig. 4D–F).

Furthermore, miR-143 binding sites in CD44 and K-Ras 3′-UTR were also analyzed (Figs. 5 and 6). The luciferase assay also verified miR-143 binding to CD44 and K-Ras 3′-UTR. qRT-PCR and western blotting confirmed that these two molecules were also regulated by miR-143.

We also verified the regulation of Smad3, CD44 and K-Ras in ex vivo tissue specimens and A549 cell xenografts using in situ hybridization and immunohistochemistry. There was an association between miR-143 expression and the target genes (Smad3, CD44 and K-Ras) in the NSCLC and normal lung tissues and lymph node metastatic tissues as well (Fig. 7). Subcutaneous A549 xenografts displayed similar results (Fig. 8).

To assess the coordinated effects of TGF-β on regulation of miR-143 and Smad3 expression, we first analyzed expression of miR-143 and Smad3 in A549 cells after varying periods of TGF-β treatment. Expression of miR-143 was slowly upregulated by TGF-β from 1 to 8 h and reached a maximum after 8 h of treatment. The opposite trend was observed for expression of CD44 and K-Ras expression, which were downregulated at each time point from 1 h to 24 h (Fig. 9A). Smad3 expression, however, was upregulated during the first 4 h, and then downregulated from 6 to 24 h. Smad3, as a signal transducer that is critical for transcriptional regulation by TGF-β, was first stimulated by TGF-β, but later was downregulated by expression of miR-143 that had been induced by TGF-β.

Furthermore, we knocked down Smad3 expression in A549 cells using Smad3 siRNA (si-Smad3) followed by TGF-β treatment which resulted in 85% suppression of Smad3 expression (Fig. 9A), induction of miR-143 expression by TGF-β was not different than in TGF-treated cells; the TGF-β treatment induced the pri-miR-143/145 expression without si-Smad3 in A549 cells. This would suggest that Smad3 plays a critical role in transcriptional activation of miR-143 expression (Fig. 6D). TGF-β-induction of CD44 and K-Ras mRNAs was abolished in si-Smad4-transfected cells (Fig. 9E).


TGF-β is secreted by many types of normal cells, and the TGF-β signaling pathway can inhibit cell cycle progression at the G1 phase and therefore, suppress cell proliferation, but induce cell differentiation, and promote apoptosis (13,14). However, after transformation into cancer cells, the cells will alter expression of TGF-β and its signaling pathway. Moreover, TGF-β secretion is also induced in tumor-surrounding stoma cells and TGF-β acts on tumor stoma cells, such as fibroblasts, immune cells, endothelial and smooth-muscle cells causing tumor cell EMT, immune suppression and angiogenesis for cancer progression (25,26). In addition, previous studies showed that miR-143 expression is downregulated in various cancers, including lung cancer. For example, Yanaihara et al reported that miR-143 expression was significantly decreased in 104 pairs of lung cancer tissues (27). Gao et al detected low expression of miR-143 in lung cancer tissues using qRT-PCR (28). Ma et al also found reduced levels of miR-143 expression NSCLC tissues and cells (29). Thus, in this study, we investigated the role of these molecules in NSCLC progression. We first treated NSCLC A549 cells with TGF-β; miRNA array analysis showed upregulation of miR-143, but our ex vivo data showed and confirmed downregulation of miR-143 in NSCLC tissues and lymph node-metastatic tissues. These data support antitumor effects of TGF-β-induced miR-143 in NSCLC cells.

In order to verify antitumor effects of miR-143 in NSCLC cells, we over-expressed miR-143 in A549 cells and observed significantly reduced NSCLC cell viability and invasion. Wound healing capacity in vitro and xenograft formation and growth in nude mice further supported the notion of miR-143 as a tumor suppressor gene in NSCLC. We then searched for the target gene of miR-143 using Pictar, RNAhybrid, and TargetScan and identified CD44, K-Ras and Smad3 as potential target genes. CD44 and K-Ras were confirmed as the target genes of miR-143 by previous studies (11,2931). CD44 is a cell-surface glycoprotein involved in cell-cell interactions, adhesion, and migration (32,33). It is a receptor for hyaluronic acid (HA) and can also interact with other ligands, such as osteopontin, collagens, and matrix metal lipoproteinases (MMPs). CD44 has a wide variety of cellular functions, including lymphocyte activation, recirculation and homing, hematopoiesis, and tumor metastasis (3234). K-Ras is a member of the small GTPase super family. The RAS (rat sarcoma)/MAPK (mitogen-activated protein kinase) pathway plays a key role in regulation of various physiological cellular processes, including proliferation, differentiation, and cell death. Aberrant mutational activation of K-Ras/MAPK signaling is closely linked to cancer development in many organs in humans and laboratory animals (23,35). We confirmed that expression of miR-143-inhibited expression of CD44 and K-Ras in NSCLC cells. Thus, NSCLC cell viability might be due to downregulation of K-Ras, while miR-143-inhibited NSCLC cell invasion capacity might be due to downregulation of CD44. In addition, one important element of the TGF-β pathway, Smad3, is also a target gene of miR-143 that has not been reported to date. In the present study, we verified that miR-143 bound to Smad3 3′UTR, and expression of miR-143 reduced Smad3 expression in NSCLC cells. There was an inverse association between miR-143 and Smad3, CD44, and K-Ras in NSCLC tissue specimens and A549 xenografts.

TGF-β plays different roles in normal cells vs. tumors. For example, TGF-β acts as a tumor suppressor in normal tissues or in early carcinogenesis (14,36,37), but the tumor suppressive effects are lost in advanced stages of cancer. In the present study, we hypothesized that TGF-β would first induce miR-143 expression and upregulation of miR-143 would in turn have a tumor suppressing function by inhibiting target genes (such as CD44, K-Ras, and Smad3). Reduced Smad3 expression could affect the TGF-β pathway by downregulated expression of the Smad2/Smad3 complex. This complex will lose the effects on the transcription factor binding to the DNA promoter, including the pri-miR-143 promoter. TGF-β binds to its receptor, which is activated and then recruits the Smad2 and Smad3 to form a complex, and in turn together with Smad4, translocates into the cell nucleus to promote gene transcription, including expression of the pri-miR-143/145 (Fig. 10). The pri-miR-143/145 is then cleaved to the mature miR-143. miR-143 downregulated its target gene CD44 and K-Ras function as a tumor suppressor gene. miR-143 also downregulates Smad3 expression, and the downregulated Smad3 restrains TGF-β. This is the miR-143-Smad3-TGF-β pathway loop. The loop might explain why TGF-β acts as a tumor suppressor in normal tissues, and in early carcinogenesis functions as an oncogene. TGF-β induces the expression of miR-143 at first, and later the downregulated Smad3 represses miR-143 expression, enriching the miR-143 and TGF-β pathway.

Our studies confirm that TGF-β could induce expression of pri-miR-143/145, as miR-143 was frequently downregulated in NSCLC and lymph node metastases. Our studies demonstrate the biological functions of miR-143 in significantly inhibiting the migration and invasion of NSCLC cells. We also identified Smad3, CD44 and K-Ras as target genes possibly involved in miR-143-mediated migration and invasion suppression for lung cancer. Most importantly, we confirmed that TGF-β induced the expression of miR-143, and later was repressed by the Smad3 target. In this way, miR-143 and Smad3 composed a circular loop for cancer. The miR-143 and TGF-β pathway might provide a potential therapeutic strategy for NSCLC.


This study was supported in part by grants from Hunan Provincial Innovation Foundation For Postgraduates (CX2013B110), National Key Scientific & Technology Support Program: Collaborative innovation of Clinical Research for chronic obstructive pulmonary disease and lung cancer (2013BAI09B09) and Science and Technology Department of Hunan Province Key Project (2014FJ2009). Most of the financial support was provided by C.H.M.



Field JK, Oudkerk M, Pedersen JH and Duffy SW: Prospects for population screening and diagnosis of lung cancer. Lancet. 382:732–741. 2013. View Article : Google Scholar : PubMed/NCBI


Curioni-Fontecedro A, Husmann L, Soldini D and Stahel RA: Primary non-small cell lung cancer response upon treatment with denosumab. Lung Cancer. 82:506–508. 2013. View Article : Google Scholar : PubMed/NCBI


Navarro A, Diaz T, Gallardo E, et al: Prognostic implications of miR-16 expression levels in resected non-small-cell lung cancer. J Surg Oncol. 103:411–415. 2011. View Article : Google Scholar : PubMed/NCBI


Vosa U, Vooder T, Kolde R, Vilo J, Metspalu A and Annilo T: Meta-analysis of microRNA expression in lung cancer. Int J Cancer. 132:2884–2893. 2013. View Article : Google Scholar : PubMed/NCBI


Yates LA, Norbury CJ and Gilbert RJ: The long and short of microRNA. Cell. 153:516–519. 2013. View Article : Google Scholar : PubMed/NCBI


Chitwood DH and Timmermans MC: Small RNAs are on the move. Nature. 467:415–419. 2010. View Article : Google Scholar : PubMed/NCBI


Lujambio A and Lowe SW: The microcosmos of cancer. Nature. 482:347–355. 2012. View Article : Google Scholar : PubMed/NCBI


Ebert MS and Sharp PA: Roles for microRNAs in conferring robustness to biological processes. Cell. 149:515–524. 2012. View Article : Google Scholar : PubMed/NCBI


Bartel DP: MicroRNAs: target recognition and regulatory functions. Cell. 136:215–233. 2009. View Article : Google Scholar : PubMed/NCBI


Bowen T, Jenkins RH and Fraser DJ: MicroRNAs, transforming growth factor beta-1, and tissue fibrosis. J Pathol. 229:274–285. 2013. View Article : Google Scholar : PubMed/NCBI


Luo Z, Dai Y, Zhang L, et al: miR-18a promotes malignant progression by impairing microRNA biogenesis in nasopharyngeal carcinoma. Carcinogenesis. 34:415–425. 2013. View Article : Google Scholar : PubMed/NCBI


Liu L, Yu X, Guo X, et al: miR-143 is downregulated in cervical cancer and promotes apoptosis and inhibits tumor formation by targeting Bcl-2. Mol Med Rep. 5:753–760. 2012.PubMed/NCBI


Yoshida K, Saito T, Kamida A, et al: Transforming growth factor-beta transiently induces vimentin expression and invasive capacity in a canine mammary gland tumor cell line. Res Vet Sci. 94:539–541. 2013. View Article : Google Scholar : PubMed/NCBI


Dong L, Ge XY, Wang YX, et al: Transforming growth factor-beta and epithelial-mesenchymal transition are associated with pulmonary metastasis in adenoid cystic carcinoma. Oral Oncol. 49:1051–1058. 2013. View Article : Google Scholar : PubMed/NCBI


Tian M, Neil JR and Schiemann WP: Transforming growth factor-beta and the hallmarks of cancer. Cell Signal. 23:951–962. 2011. View Article : Google Scholar : PubMed/NCBI


Choe C, Shin YS, Kim SH, et al: Tumor-stromal interactions with direct cell contacts enhance motility of non-small cell lung cancer cells through the hedgehog signaling pathway. Anticancer Res. 33:3715–3723. 2013.PubMed/NCBI


Huang S, Holzel M, Knijnenburg T, et al: MED12 controls the response to multiple cancer drugs through regulation of TGF-beta receptor signaling. Cell. 151:937–950. 2012. View Article : Google Scholar : PubMed/NCBI


Argast GM, Krueger JS, Thomson S, et al: Inducible expression of TGFbeta, snail and Zeb1 recapitulates EMT in vitro and in vivo in a NSCLC model. Clin Exp Metastasis. 28:593–614. 2011. View Article : Google Scholar : PubMed/NCBI


Tai J, Xiao X, Huang ZG, et al: MicroRNAs regulate epithelial-mesenchymal transition of supraglottic laryngeal cancer. Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi. 48:499–503. 2013.(In Chinese).


Peng X, Guo W, Liu T, et al: Identification of miRs-143 and -145 that is associated with bone metastasis of prostate cancer and involved in the regulation of EMT. PLoS One. 6:e203412011. View Article : Google Scholar : PubMed/NCBI


Boominathan L: The tumor suppressors p53, p63, and p73 are regulators of microRNA processing complex. PLoS One. 5:e106152010. View Article : Google Scholar


Davis-Dusenbery BN, Chan MC, Reno KE, et al: Down-regulation of Kruppel-like factor-4 (KLF4) by microRNA-143/145 is critical for modulation of vascular smooth muscle cell phenotype by transforming growth factor-beta and bone morphogenetic protein 4. J Biol Chem. 286:28097–28110. 2011. View Article : Google Scholar : PubMed/NCBI


Wang YY, Ren T, Cai YY and He XY: MicroRNA let-7a inhibits the proliferation and invasion of nonsmall cell lung cancer cell line 95D by regulating K-Ras and HMGA2 gene expression. Cancer Biother Radiopharm. 28:131–137. 2013. View Article : Google Scholar : PubMed/NCBI


Shi L, Campbell G, Jones WD, et al: The MicroArray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models. Nat Biotechnol. 28:827–838. 2010. View Article : Google Scholar : PubMed/NCBI


Gordon KJ and Blobe GC: Role of transforming growth factor-beta superfamily signaling pathways in human disease. Biochim Biophys Acta. 1782:197–228. 2008. View Article : Google Scholar : PubMed/NCBI


Blobe GC, Schiemann WP and Lodish HF: Role of transforming growth factor beta in human disease. N Engl J Med. 342:1350–1358. 2000. View Article : Google Scholar : PubMed/NCBI


Yanaihara N, Caplen N, Bowman E, et al: Unique microRNA molecular profiles in lung cancer diagnosis and prognosis. Cancer Cell. 9:189–198. 2006. View Article : Google Scholar : PubMed/NCBI


Gao W, Yu Y, Cao H, et al: Deregulated expression of miR-21, miR-143 and miR-181a in non small cell lung cancer is related to clinicopathologic characteristics or patient prognosis. Biomed Pharmacother. 64:399–408. 2010. View Article : Google Scholar : PubMed/NCBI


Ma Q, Jiang Q, Pu Q, et al: MicroRNA-143 inhibits migration and invasion of human non-small-cell lung cancer and its relative mechanism. Int J Biol Sci. 9:680–692. 2013. View Article : Google Scholar : PubMed/NCBI


Hu Y, Ou Y, Wu K, Chen Y and Sun W: miR-143 inhibits the metastasis of pancreatic cancer and an associated signaling pathway. Tumour Biol. 33:1863–1870. 2012. View Article : Google Scholar : PubMed/NCBI


Liu H, Zhang SZ, Cai SR, Peng JP and Zheng S: Effect of microRNA143 expression on cell proliferation in colonic carcinoma. Zhonghua Zhong Liu Za Zhi. 30:498–501. 2008.(In Chinese).


Tabyaoui I, Tahiri-Jouti N, Serhier Z, et al: Immunohistochemical expression of CD44s in human neuroblastic tumors: Moroccan experience and highlights on current data. Diagn Pathol. 8:392013. View Article : Google Scholar : PubMed/NCBI


Hiraga T, Ito S and Nakamura H: Cancer stem-like cell marker CD44 promotes bone metastases by enhancing tumorigenicity, cell motility, and hyaluronan production. Cancer Res. 73:4112–4122. 2013. View Article : Google Scholar : PubMed/NCBI


Raso-Barnett L, Banky B, Barbai T, Becsagh P, Timar J and Raso E: Demonstration of a melanoma-specific CD44 alternative splicing pattern that remains qualitatively stable, but shows quantitative changes during tumour progression. PLoS One. 8:e538832013. View Article : Google Scholar


Zeller E, Hammer K, Kirschnick M and Braeuning A: Mechanisms of RAS/beta-catenin interactions. Arch Toxicol. 87:611–632. 2013. View Article : Google Scholar


Sawaki D and Suzuki T: Targeting transforming growth factor-beta signaling in aortopathies in Marfan syndrome. Circ J. 77:898–899. 2013. View Article : Google Scholar : PubMed/NCBI


Jakobsson L and van Meeteren LA: Transforming growth factor beta family members in regulation of vascular function: in the light of vascular conditional knockouts. Exp Cell Res. 319:1264–1270. 2013. View Article : Google Scholar : PubMed/NCBI

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November 2014
Volume 45 Issue 5

Print ISSN: 1019-6439
Online ISSN:1791-2423

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Copy and paste a formatted citation
Cheng, T., Hu, C., Yang, H., Cao, L., & An, J. (2014). Transforming growth factor-β-induced miR‑143 expression in regulation of non-small cell lung cancer cell viability and invasion capacity in vitro and in vivo. International Journal of Oncology, 45, 1977-1988.
Cheng, T., Hu, C., Yang, H., Cao, L., An, J."Transforming growth factor-β-induced miR‑143 expression in regulation of non-small cell lung cancer cell viability and invasion capacity in vitro and in vivo". International Journal of Oncology 45.5 (2014): 1977-1988.
Cheng, T., Hu, C., Yang, H., Cao, L., An, J."Transforming growth factor-β-induced miR‑143 expression in regulation of non-small cell lung cancer cell viability and invasion capacity in vitro and in vivo". International Journal of Oncology 45, no. 5 (2014): 1977-1988.