Literature DB >> 28849004

FoxM1 promotes epithelial-mesenchymal transition of hepatocellular carcinoma by targeting Snai1.

Chun-Peng Yu1, Shui Yu2, Lei Shi1, Song Wang2, Zi-Xiang Li2, Yan-Hua Wang2, Cheng-Jian Sun2, Jun Liang1.   

Abstract

Forkhead box protein M1 (FoxM1) is aberrantly expressed in several types of human malignancy, and serves an important role in tumor metastasis. Epithelial‑mesenchymal transition (EMT) of cancer cells has been associated cancer metastasis; however, the implication of FoxM1 in EMT and its putative roles in the regulation of cancer metastasis remain to be elucidated. In the present study, the expression of FoxM1, Snai1 and E‑cadherin in hepatocellular carcinoma (HCC) cell lines with various metastatic potentials, and in normal liver cells, was investigated using western blot analysis and reverse transcription‑quantitative polymerase chain reaction. The effects of FoxM1 on the invasive and migratory capabilities of HCC cells were evaluated using wound healing and Transwell migration assays. The present results demonstrated that FoxM1 expression was significantly upregulated in HCC cells compared with in normal hepatocytes (P<0.05). In addition, FoxM1 expression was significantly increased in MHCC‑LM3 cells, characterized by higher metastatic potential, compared with in SMMC‑7721 cells, which have a lower metastatic potential. Furthermore, overexpression of FoxM1 was demonstrated to be negatively correlated with E‑cadherin (P<0.05) and positively associated with Snai1 (P<0.05) expression. These observations suggested that FoxM1 may enhance the invasion and migration of cancer cells, and thus promotes their EMT, in a mechanism that may involve the regulation of Snai1. Therefore, it may be hypothesized that FoxM1 has potential as a novel diagnostic marker and therapeutic target for the treatment of patients with HCC.

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Year:  2017        PMID: 28849004      PMCID: PMC5647053          DOI: 10.3892/mmr.2017.7223

Source DB:  PubMed          Journal:  Mol Med Rep        ISSN: 1791-2997            Impact factor:   2.952


Introduction

Hepatocellular carcinoma (HCC) is one of the most common types of human cancer, ranking 3rd among all causes of cancer-associated mortality in China, following gastric and esophageal cancer, whereas the mortality rate of patients with HCC was reported to be ~50% in 2011 (1). The most common causes of mortality in patients with HCC have been identified as cancer recurrence, metastasis and deterioration of original tumors (2). At present, tumor resection and liver transplantation are the main therapeutic strategies for the treatment of patients with HCC. However, diagnosis at an advanced stage is very common, when the high rate of metastasis and the lack of specific tumor marks do not permit tumor resection; therefore, only a small number of patients with HCC are suitable for surgical treatment (3). In addition, the high risk of metastasis and recurrence, even among surgically-treated patients, limits the survival rate of patients with HCC (4). Therefore, it is imperative to elucidate the molecular mechanisms underlying the recurrence and metastasis of HCC, in order to develop novel therapeutic strategies for the treatment of patients with HCC. Greenburg and Hay (5) first proposed the term epithelial to mesenchymal transition (EMT) in 1982. EMT is defined as the loss of epithelial differentiation and a shift towards a mesenchymal phenotype. This process is characterized by a downregulation in the expression of epithelial markers, including E-cadherin, a loss of intercellular junctions, reduced intercellular adhesion, cytoskeletal changes, increased cell motility and overexpression of mesenchymal genes, such as vimentin and N-cadherin (6). Among the aforementioned processes, E-cadherin downregulation has been used as a molecular marker for the detection of EMT. A previous study reported that loss of E-cadherin was associated with the intrahepatic metastasis of HCC cells (7). In addition, EMT has been identified as a key mechanism during cancer metastasis, and its roles have been demonstrated in various types of human cancer, including gastric, mammary and prostate cancer (8–11). Therefore, the elucidation of the molecular mechanisms involved in EMT is imperative for the development of effective strategies for the inhibition of HCC metastasis. Forkhead box protein M1 (FoxM1) belongs to the Fox family of transcription factors, which are characterized by the presence of an evolutionarily conserved winged-helical DNA-binding domain (12). Fox proteins are involved in the regulation of numerous physiological processes, including cell differentiation, proliferation and apoptosis, and the maintenance of stem cell pluripotency (12,13). FoxM1 is expressed in almost all embryonic tissues, particularly in proliferating epithelial mesenchymal cells, whereas it is not expressed in non-proliferating cells (14). In addition, FoxM1 is expressed in adult lung and intestinal tissues, with high expression levels in the thymus and testis (13,15,16). Several studies have suggested the function of FoxM1 as an oncogene in various types of malignancies, including liver (17), gastric (18) and colon cancer (19). FoxM1 has also been demonstrated to serve essential roles in tumor angiogenesis, invasion and metastasis (20,21). However, the roles of FoxM1 in the migration and invasion of HCC cells remain to be elucidated, and the molecular mechanisms regulating its functions are unclear. In the present study, the involvement of FoxM1 in EMT was investigated in human HCC cell lines. The expression of FoxM1 and E-cadherin was detected and their correlation was assessed. FoxM1 was identified to be negatively correlated with E-cadherin in HCC cells with higher metastatic potential, thus suggesting that FoxM1 may function as an oncogene in liver cancer.

Materials and methods

Reagents

Dulbecco's modified Eagle's medium (DMEM), fetal bovine serum (FBS), penicillin and streptomycin were purchased from Invitrogen; Thermo Fisher Scientific, Inc. (Waltham, MA, USA). Primary antibodies against FoxM1 (cat. no. ab175798), snail family transcriptional repressor 1 (Snai1; cat. no. ab53519) and E-cadherin (cat. no. ab76055) were purchased from Abcam (Cambridge, UK). Anti-rabbit and anti-mouse horseradish peroxidase (HRP)-conjugated secondary antibodies (cat. nos. 5436, 3895 and 3195) were obtained from Cell Signaling Technology, Inc. (Danvers, MA, USA). GAPDH polyclonal antibody (cat. no. SC-32233) was procured from Santa Cruz Biotechnology, Inc. (Dallas, TX, USA). Small interfering (si)RNA targeting FoxM1 and the FoxM1 expression vector pcDNA3.1-FoxM1 were purchased from Abcam. TRIzol® reagent was purchased from Invitrogen; Thermo Fisher Scientific, Inc. PrimeScript™ RT reagent kit was purchased from Takara Bio, Inc. (Otsu, Japan). The transfection reagent was Lipofectamine 3000 (Invitrogen; Thermo Fisher Scientific, Inc.). Matrigel matrix was purchased from BD Biosciences (Franklin Lakes, NJ, USA).

Cell lines and culture conditions

Human SK-Hep1, MHCC-LM3 and SMMC-7721 HCC cell lines and the human HL-7702 normal liver cell line were purchased from the Shanghai Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences (Shanghai, China). All cell lines were cultured in DMEM supplemented with 10% FBS, 1% penicillin and 1% streptomycin, and were maintained at 37°C in a 5% CO2 atmosphere.

Cell transfection

siRNA-FoxM1 (sequence, 5′-CACUAUCAACAAUAGCCUATT-3′) was used to silence the expression of FoxM1 in MHCC-LM3 cells, whereas pcDNA3.1-FoxM1 was used to overexpress FoxM1 in SMMC-7721 cells and SK-Hep1 cells. Non-targeting siRNA (sequence, 5′-GGUGUCGUGGUGGAAGUUUTT-3′) and empty pcDNA3.1 vector were used as negative controls (NC). Cells were seeded into 6-well plates and grown to 60–70% confluence at 37°C in an atmosphere containing 5% CO2. Subsequently, they were transfected at 37°C with 100 nM siRNA-FoxM1 and 4 µg pcDNA3.1-FoxM1, or 40 pmol/l non-targeting siRNA and 4 µg empty pcDNA3.1 vector, using Lipofectamine 3000, according to the manufacturer's protocol. Following 48 h of transfection, cells were harvested for subsequent experiments. The success of the transfection was determined using the reverse transcription-quantitative polymerase chain reaction (RT-qPCR), according to the protocol detailed below.

Western blot analysis

MHCC-LM3, SMMC-7721 and SK-Hep1 cells (2×106) were collected by centrifugation at 3,000 × g for 5 min at 4°C, and lysed in radioimmunoprecipitation assay lysis buffer (20 mM Tris-HCl pH 7.4, 100 mM NaCl, 10% NP-40, 10% sodium deoxycholate and 100 mM EDTA) at 0°C for 15 min. Samples were subsequently centrifuged at 13,000 × g for 20 min at 4°C. Protein concentration in the lysates was determined using a bicinchoninic acid protein assay (Pierce; Thermo Fisher Scientific, Inc.). Equal amounts of extracted protein samples (20 µg) were separated by SDS-PAGE on a 1% gel and transferred onto polyvinylidene difluoride membranes. The membranes were blocked with 5% nonfat milk for 1.5 h at 37°C, and then incubated with the following primary antibodies overnight at 4°C: Mouse polyclonal anti-FoxM1 (1:1,000), rabbit polyclonal anti-Snai1 (1:1,000), rabbit polyclonal anti-E-cadherin (1:1,000). Following washing with TBS containing 0.1% Tween-20, the membranes were incubated with HRP-conjugated anti-mouse (1:10,000) or anti-rabbit (1:10,000) secondary antibodies for 1 h at room temperature. Protein expression was normalized to GAPDH (1:1,000). Blots were visualized using enhanced chemiluminescence (Pierce; Thermo Fisher Scientific, Inc.) and semi-quantified by densitometric analysis using Image-Pro Plus software version 6.0 (Media Cybernetics, Inc., Rockville, MD, USA).

RT-qPCR analysis

Total RNA was isolated using TRIzol® reagent, according to the manufacturer's protocol, from HL-7702, MHCC-LM3, SK-Hep1 and SMMC-7721 cells (2×106). Total RNA was reverse transcribed into cDNA (2 µl) using the PrimeScript™ RT Reagent kit, according to the manufacturer's protocol. qPCR was performed using SYBR Green as a fluorophore, according to the manufacturer's protocol. The thermocycling conditions were as follows: Initial activation at 95°C for 10 min, followed by 40 cycles at 95°C for 1 min (denaturation), at 55°C for 1 min (annealing), and at 60°C for 1 min (extension), followed by 60°C for 7 min for final extension and melting curve analysis. GAPDH served as an internal control to normalize gene expression. Relative gene expression was quantified using the comparative Cq method (22). The primers used in the present study were as follows: FoxM1, forward 5′-GCGACAGGTTAAGGTTGAG-3′ and reverse 5′-AGGTTGTGGCGGATGGAGT-3′; Snai1, forward 5′-TCTAGGCCCTGGCTGCTACAA-3′ and reverse 5′-ACATCTGAGTGGGTCTGGAGGTG-3′; E-cadherin, forward 5′-TAACCGATCAGAATGAC-3′ and reverse 5′-TTTGTCAGGGAGCTCAGGAT-3′; and GAPDH, forward 5′-GCACCGTCAAGGCTGAGAAC-3′ and reverse 5′-ATGGTGGTGAAGACGCCAGT-3′.

Wound-healing assay

An in vitro wound-healing assay was performed to assess the migratory capabilities of HCC cells. MHCC-LM3 cells (1×05 cells/well) transfected with siRNA-FoxM1 and SMMC-7721 cells (1×105 cells/well) transfected with pcDNA3.1-FoxM1 were plated in 12-well plates and cultured in DMEM supplemented with 10% FBS, 1% penicillin and 1% streptomycin, at 37°C with 5% CO2 until 90–95% confluent. A scratch wound was generated with a 200 µl pipette tip and cells were washed with PBS to remove debris. Subsequently, cells were cultured in DMEM containing 10% FBS at 37°C. The scratch wounds were observed at 0, 12, 24 and 48 h under an optical microscope and photomicrographs were captured to analyze wound width using ImageJ 1.48u software (National Institutes of Health, Bethesda, MD, USA). Wound healing rate was calculated according to the following formula: Wound healing rate=[(initial scratch width-scratch width at the specified time)/(initial scratch width)]x100%.

Invasion and migration assays

In vitro Transwell assays were performed to assess the invasive and migratory capabilities of cancer cells. Cellular migration was assessed using Transwell inserts (Corning Incorporated, Corning, NY, USA) with 8.0 µm pore size. A cell invasion assay was performed using Transwell inserts coated with Matrigel (75 µl/well). Following 48 h of transfection, MHCC-LM3 cells transfected with siRNA-FoxM1 and SMMC-7721 cells transfected with pcDNA3.1-FoxM1 were seeded in the upper chambers of the inserts at a density of 1×105 cells/well in serum-free DMEM. DMEM containing 10% FBS was added to the lower chambers as a chemoattractant. Following culture for 24 h at 37°C in a 5% CO2 atmosphere, cells on the surface of the upper chamber were removed by cotton swabs. The cells that had invaded the lower chamber were fixed with 10% methanol at 37°C for 15 min, stained for 10 min at 37°C with 0.1% crystal violet and observed under an inverted microscope (magnification, ×200). The invasive and migratory abilities of HCC cells were assessed via counting the mean number of migrated or invaded cells in 5 randomly selected fields from each well. Each assay was performed in triplicate. ImageJ 1.48u software was used to analyze the data.

Statistical analysis

Data are expressed as the mean ± standard deviation of a minimum of 3 independent experiments. Statistical analysis was performed using SPSS software, version 17.0 (SPSS, Inc., Chicago, IL, USA). The statistical significance of the differences between two groups was assessed using Student's t-test, and when three or more groups were being compared, one-way analysis of variance followed by the least significant difference post hoc test was used. Correlation analysis was conducted using Pearson's test. P<0.05 was considered to indicate a statistically significant difference.

Results

FoxM1 is overexpressed in HCC cells and is associated with the metastatic potential of cancer cells

FoxM1 mRNA expression was investigated in the human HL-7702 normal hepatocellular cell line and in the SMMC-7721, SK-Hep1 and MHCC-LM3 HCC cell lines using RT-qPCR. The present results demonstrated that the mRNA expression levels of FoxM1 were significantly increased in the HCC cell lines compared with in normal hepatocytes (Fig. 1A). The FoxM1 protein expression in HCC cell lines was observed following western blot analysis (Fig. 1B and C). Notably, the expression levels of FoxM1 in HCC cell lines with different levels of metastasis were investigated. The present findings indicated that FoxM1 was overexpressed in HCC cells, and the expression levels of FoxM1 may have a putative association with the metastatic potential of HCC.
Figure 1.

FoxM1 expression is upregulated in HCC cells. (A) Reverse transcription-quantitative polymerase chain reaction was used to assess the mRNA expression levels of FoxM1 in the human HL-7702 normal hepatocyte line and in the SMMC-7721, SK-Hep1 and MHCC-LM3 HCC cell lines (SMMC-7721 vs. HL-7702, P=0.048; SK-Hep1 vs. HL-7702, P=0.036; MHCC-LM3 vs. HL-7702, P=0.013). (B and C) Western blot analysis was used to assess the protein expression levels of FoxM1 in SMMC-7721, SK-Hep1 and MHCC-LM3 HCC cell lines (MHCC-LM3 vs. SMMC-7721, P=0.033; SK-Hep1 vs. SMMC-7721, P=0.029). Data are expressed as the mean ± standard deviation of 3 independent experiments. *P<0.05 vs. HL-7702; #P<0.05 vs. SMMC-7721. FoxM1, forkhead box protein M1; HCC, hepatocellular carcinoma.

E-cadherin is downregulated in HCC cells

RT-qPCR was performed to investigate the mRNA expression of E-cadherin in HCC cell lines. In comparison with normal hepatocytes, the mRNA expression levels of E-cadherin were significantly decreased in the HCC cell lines (Fig. 2A). In addition, the protein expression levels of E-cadherin were assessed in HCC cell lines with various metastatic potentials using western blot analysis. Consistent with RT-qPCR results, E-cadherin protein exhibited different levels of expression in HCC cell lines with different metastatic potentials (Fig. 2B and C). Furthermore, E-cadherin protein expression levels were significantly lower in the highly metastatic MHCC-LM3 cells compared with in SMMC-7721 cells which have a lower metastatic potential (Fig. 2C).
Figure 2.

The expression of E-cadherin is downregulated in HCC cells. (A) RT-qPCR was used to assess the mRNA expression levels of E-cadherin in the human HL-7702 normal hepatocyte line and in the SMMC-7721, SK-Hep1 and MHCC-LM3 HCC cell lines (SMMC-7721 vs. HL-7702, P=0.031; SK-Hep1 vs. HL-7702, P=0.001; MHCC-LM3 vs. HL-7702 P=0.0002). (B and C) Western blot analysis was used to assess the protein expression levels of E-cadherin in SMMC-7721, SK-Hep1 and MHCC-LM3 HCC cell lines (SK-Hep1 vs. MHCC-LM3, P=0.045; SMMC-7721 vs. MHCC-LM3, P=0.009). (D) RT-qPCR was used to analyze the correlation between FoxM1 and E-cadherin in MHCC-LM3 (P=0.01). (E) RT-qPCR was used to analyze the correlation between FoxM1 and E-cadherin in SMMC-7721 (P=0.0165). Data are expressed as the mean ± standard deviation. *P<0.05, **P<0.01, ***P<0.001 vs. HL7702; #P<0.05, ##P<0.01 vs. MHCC-LM3; $P<0.05, $$$P<0.001 vs. respective control. HCC, hepatocellular carcinoma; RT-qPCR, reverse transcription-quantitative polymerase chain reaction; si, small interfering; FoxM1, forkhead box protein M1; NC, negative control.

FoxM1 overexpression downregulates E-cadherin in HCC cells

A previous study reported that overexpression of FoxM1 promoted EMT of cancer cells (17). To investigate the roles of FoxM1 on the expression of E-cadherin in HCC, MHCC-LM3 cells were transfected with siRNA-FoxM1 to silence FoxM1 expression. RT-qPCR was used to determine the success of the transfection (siRNA control vs. siRNA-FoxM1; P=0.01382). In addition, the results of the RT-qPCR analysis identified that following knockdown of FoxM1, E-cadherin mRNA and protein expression was significantly upregulated compared with cells transfected with siRNA-NC (Fig. 2D). In order to further investigate the effects of FoxM1 overexpression on the expression of E-cadherin, the FoxM1 expression vector pcDNA3.1-FoxM1 was transfected into SMMC-7721 cells, which typically express lower levels of FoxM1 compared with MHCC-LM3 cells (Fig. 1). RT-qPCR was used to determine the success of the transfection (pcDNA3.1-control vs. pcDNA3.1-FoxM1; P=0.00073). The mRNA and protein expression levels of E-cadherin were significantly decreased in pcDNA3.1-FoxM1-transfected SMMC-7721 cells compared with NC cells (Fig. 2E). The present findings suggested that FoxM1 may downregulate the expression of E-cadherin in HCC cells, and it may be involved in the process of EMT.

Snai1 is upregulated in HCC cells and its expression is regulated by FoxM1

A previous study suggested that Snai1 may be involved in the molecular mechanisms underlying the roles of FoxM1 in EMT (17). Therefore, the present study investigated the expression of Snai1 in HCC cell lines using RT-qPCR and western blot analysis (Fig. 3A-C). The present results demonstrated that Snai1 mRNA expression levels were significantly increased in HCC cells compared with normal hepatocytes, and the mRNA and protein expression of Snail in HCC cells with different metastatic potentials exhibited consistent expression characteristics (Fig. 3 A-C). Notably, Snai1 expression was observed to be positively correlated with FoxM1 expression in HCC cells (Fig. 3D and E). These observations suggested that Snai1 may be implicated in the pathways involved in FoxM1-mediated EMT in HCC cells.
Figure 3.

Snai1 expression is upregulated in HCC cells. (A) RT-qPCR was used to assess the mRNA expression levels of Snai1 in the human HL-7702 normal hepatocyte line and in the SMMC-7721, SK-Hep1 and MHCC-LM3 HCC cell lines (SMMC-7721 vs. HL-7702, P=0.043; SK-Hep1 vs. HL-7702, P=0.027; MHCC-LM3 vs. HL-7702, P=0.005). (B and C) Western blot analysis was used to assess the protein expression levels of Snai1 in SMMC-7721, SK-Hep1 and MHCC-LM3 HCC cell lines (MHCC-LM3 vs. SMMC-7721, P=0.009; SK-Hep1 vs. SMCC-7721, P=0.019). (D) RT-qPCR was used to analyze the correlation between FoxM1 and Snai1 in MHCC-LM3 (FoxM1 vs. Snai1, P=0.01). (E) Pearson correlation analysis demonstrated that the overexpression of FoxM1 increased mRNA levels of Snai1 in SMMC-7721 cells, as further demonstrated by RT-qPCR analysis (P=0.026). Data are expressed as the mean ± standard deviation. *P<0.05, **P<0.01, ***P<0.001 vs. HL-7702; #P<0.05, ##P<0.01 vs. SMCC-7721; $P<0.05, $$$P<0.001 vs. respective control. Snai1, snail family transcriptional repressor 1; HCC, hepatocellular carcinoma; RT-qPCR, reverse transcription-quantitative polymerase chain reaction; si, small interfering; FoxM1, forkhead box protein M1; NC, negative control.

FoxM1 promotes the migration and invasion of HCC cells

To investigate the effects of FoxM1 on the migratory capabilities of HCC cells, cells were transfected with siRNA-FoxM1 or pcDNA3.1-FoxM1 and wound-healing and Transwell migration assays were performed. Knockdown of FoxM1 expression resulted in the slower healing of scratch wounds inflicted on MHCC-LM3 cells (Fig. 4A and C), whereas its overexpression potentiated the healing of scratch wounds in SMMC-7721 cells (Fig. 4B and D), compared with NC cells. Similar results were observed following a Transwell migration assay, as the migratory capabilities of HCC cells were impaired following FoxM1 silencing, whereas they were enhanced following its overexpression (Fig. 4E-H).
Figure 4.

FoxM1 overexpression promotes the migration of HCC cells. A wound-healing assay was performed to assess the migratory capabilities of HCC cells. (A) MHCC-LM3 cells were transfected with siRNA-FoxM1 or siRNA-NC; (B) SMMC-7721 cells were transfected with FoxM1 expression vector or empty vector; and this was quantified (C) P=0.046 and (D) P=0.047. A Transwell migration assay was also performed to assess the migratory capabilities of HCC cells. (E) MHCC-LM3 cells were transfected with siRNA-FoxM1 or siRNA-NC; (F) SMMC-7721 cells were transfected with FoxM1 expression vector or empty vector; and this was quantified (G) P=0.034 and (H) P=0.021. Data are expressed as the mean ± standard deviation. *P<0.05. Magnification, ×200. FoxM1, forkhead box protein M1; HCC, hepatocellular carcinoma; si, small interfering; NC, negative control.

To further explore the roles of FoxM1 in HCC cell invasion, a Transwell invasion assay was performed following FoxM1 knockdown or overexpression. The present results demonstrated that the invasive capabilities of siRNA-FoxM1-transfected MHCC-LM3 cells were significantly impaired compared with siRNA-NC-transfected cells (Fig. 5A and C). Conversely, following FoxM1 overexpression, the number of invaded SMMC-7721 cells was significantly increased compared with NC cells (Fig. 5B and D).
Figure 5.

FoxM1 overexpression promotes the invasion of HCC cells. A Transwell invasion assay was used to assess the invasive capabilities of (A) MHCC-LM3 cells transfected with siRNA-FoxM1 or siRNA-NC and (B) of SMMC-7721 cells transfected with FoxM1 expression vector or empty vector. These results were then quantified for (C) MHCC-LM3 cells (P=0.048) and (D) SMMC-7721 cells (P=0.038). Data are expressed as the mean ± standard deviation. *P<0.05. Magnification, ×200. FoxM1, forkhead box protein M1; HCC, hepatocellular carcinoma; si, small interfering; NC, negative control.

These observations suggested that the overexpression of FoxM1 may promote the migratory and invasive capabilities of HCC cells. Conversely, knockdown of FoxM1 expression may suppress the migration and invasion of HCC cells.

Discussion

Due to the characteristics of metastasis and invasion of malignant tumors, it was estimated that 90% of patients with cancer succumbed as a result of tumor metastasis in 2015 (23). HCC is a fast-growing type of tumor that is characterized by a rich blood supply and high invasive and metastatic capabilities (4,24). A total of ~60–80% of patients with HCC are diagnosed at an advanced stage, thus losing the opportunity for surgical treatment (3). In the present study, the oncogene FoxM1 was identified to be overexpressed in HCC cells compared with normal hepatocytes. Notably, the expression of FoxM1 was positively correlated with the metastatic potential of HCC cells. In addition, FoxM1 overexpression was demonstrated to promote the invasion and metastasis of HCC cells, whereas its knockdown produced the opposite results. The roles of E-cadherin in the invasion and metastasis of tumors have gained attention (17,25,26), and the results of the present study suggested that FoxM1 silencing may inhibit the metastasis of HCC cells via interfering with E-cadherin signaling. Notably, Snai1 expression was indicated to be upregulated following FoxM1 overexpression and E-cadherin downregulation. These results suggested that Snai1 may be involved in FoxM1-mediated E-cadherin regulation. Wei et al (27) reported that FoxM1 could directly bind to the promoter region of the Snai1 gene and upregulate its expression in human lung adenocarcinoma cells. In addition, Snai1 has been demonstrated to bind to target genes that contain the enhanced box (E-box; CAGGTG) DNA response element (28,29). The E-box of the E-cadherin promoter has been demonstrated to possess Snai1 binding sites: Snai1 can bind to the E-cadherin promoter and recruit histone deacetylase (HDAC) 1, HDAC2 and Sin3A to acetylated histones H3 and H4, thus silencing the expression of E-cadherin (9). The results of the present study suggested that FoxM1 overexpression may enhance the transcription of Snai1, thus suppressing the expression of E-cadherin and promoting HCC invasion and metastasis. However, FoxM1 has also been reported to directly activate the E-cadherin promoter (30); therefore, further studies are required to fully elucidate the molecular mechanisms underlying the FoxM1-mediated regulation of E-cadherin, and their involvement in HCC metastasis. FoxM1 is an oncogene and has been identified to be involved in various pathways implicated in cancer metastasis (31–33). FoxM1 has been reported to regulate the expression of matrix metalloproteinase (MMP)-2 and MMP-9, and thus potentiate extracellular matrix degradation and enhance the motility and invasion of cancer cells (34). In addition, FoxM1 has been demonstrated to promote tumor angiogenesis, migration and invasion, via regulating the expression of the vascular endothelial growth factor gene (35). Furthermore, miRNAs have been reported to combine with the 3′-untranslated region of the FoxM1 mRNA to downregulate its expression and thus inhibit tumor metastasis (36). Therefore, FoxM1 appears to serve an important role in several signaling pathways involved in cancer metastasis. The Wnt/β-catenin signaling pathway has been implicated in EMT. FoxM1 has been identified as a downstream factor in the Wnt signaling pathway, as it can combine with β-catenin to enhance its transcriptional activity and nuclear localization (37). In the nucleus, β-catenin forms a β-catenin-/T cell factor/lymphoid enhancer-binding factor transcription complex, leading to the activation of transcription of target genes that are implicated in EMT (38). In addition, the activation of Wnt signaling has been demonstrated to enhance the expression of Snai1 (39). Therefore, the results of the present study suggested that FoxM1 may downregulate the expression of E-cadherin through the induction of Snai1, possibly via the Wnt/β-catenin signaling pathway, and thus promote EMT in HCC. In conclusion, the present results suggested that FoxM1 may serve a critical role in the regulation of EMT in cancer cells and HCC metastasis. Overexpression of FoxM1 has previously been associated with the poor prognosis of HCC (40), thus suggesting that FoxM1 may have potential as a biomarker for the early diagnosis of HCC and the evaluation of its prognosis, and may provide a novel therapeutic target for the treatment of patients with HCC.
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Journal:  Int J Clin Exp Pathol       Date:  2015-06-01

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Journal:  Gut       Date:  2014-02-14       Impact factor: 23.059

Review 8.  Epithelial-mesenchymal transition (EMT): principles and clinical impact in cancer therapy.

Authors:  María Liliana Franco-Chuaire; Sánchez-Corredor Magda Carolina; Lilian Chuaire-Noack
Journal:  Invest Clin       Date:  2013-06       Impact factor: 0.683

9.  Deregulation of FoxM1b leads to tumour metastasis.

Authors:  Hyun Jung Park; Galina Gusarova; Zebin Wang; Janai R Carr; Jing Li; Ki-Hyun Kim; Jin Qiu; Yoon-Dong Park; Peter R Williamson; Nissim Hay; Angela L Tyner; Lester F Lau; Robert H Costa; Pradip Raychaudhuri
Journal:  EMBO Mol Med       Date:  2010-12-17       Impact factor: 12.137

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Authors:  G Greenburg; E D Hay
Journal:  J Cell Biol       Date:  1982-10       Impact factor: 10.539

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Authors:  Jinfeng Zhu; Jiefeng Zhao; Chen Luo; Zhengming Zhu; Xingyu Peng; Xiaojian Zhu; Kang Lin; Fanqin Bu; Wenjun Zhang; Qing Li; Kai Wang; Zhigang Hu; Xin Yu; Leifeng Chen; Rongfa Yuan
Journal:  Cell Death Dis       Date:  2022-05-25       Impact factor: 9.685

2.  Small molecule targeting FOXM1 DNA binding domain exhibits anti-tumor activity in ovarian cancer.

Authors:  Zaixin Zhang; Si-Tu Xue; Yan Gao; Yingwei Li; Ziying Zhou; Jing Wang; Zhuorong Li; Zhaojian Liu
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3.  hsa_circ_0061140 Knockdown Reverses FOXM1-Mediated Cell Growth and Metastasis in Ovarian Cancer through miR-370 Sponge Activity.

Authors:  Qizhen Chen; Jiarong Zhang; Yinyan He; Yanqiu Wang
Journal:  Mol Ther Nucleic Acids       Date:  2018-08-22       Impact factor: 8.886

4.  FOXM1 promotes hepatocellular carcinoma progression by regulating KIF4A expression.

Authors:  Guohui Hu; Zhengwei Yan; Cheng Zhang; Minzhang Cheng; Yehong Yan; Yiting Wang; Libin Deng; Quqin Lu; Shiwen Luo
Journal:  J Exp Clin Cancer Res       Date:  2019-05-09

5.  Overexpression of FoxM1 predicts poor prognosis of intrahepatic cholangiocarcinoma.

Authors:  Lingyun Liu; Jian Wu; Yu Guo; Wenxuan Xie; Bin Chen; Yi Zhang; Shaoqiang Li; Yunpeng Hua; Baogang Peng; Shunli Shen
Journal:  Aging (Albany NY)       Date:  2018-12-21       Impact factor: 5.682

6.  Oncogenes in high grade serous adenocarcinoma of the ovary.

Authors:  Pacharla Manasa; Chirukandath Sidhanth; Syama Krishnapriya; Sekar Vasudevan; Trivadi S Ganesan
Journal:  Genes Cancer       Date:  2020-11-11

7.  Ventilagolin Suppresses Migration, Invasion and Epithelial-Mesenchymal Transition of Hepatocellular Carcinoma Cells by Downregulating Pim-1.

Authors:  Ying Liu; Dao-Hai Cheng; Ke-Dao Lai; Hua Su; Guo-Shou Lu; Li Wang; Ji-Hua Lv
Journal:  Drug Des Devel Ther       Date:  2021-12-01       Impact factor: 4.162

8.  The Anticancer Effects of FDI-6, a FOXM1 Inhibitor, on Triple Negative Breast Cancer.

Authors:  Karan Ulhaka; Kanyanatt Kanokwiroon; Mattaka Khongkow; Rassanee Bissanum; Thanaporn Khunpitak; Pasarat Khongkow
Journal:  Int J Mol Sci       Date:  2021-06-22       Impact factor: 5.923

9.  Transcription factor FoxM1 is the downstream target of c-Myc and contributes to the development of prostate cancer.

Authors:  Huafeng Pan; Yudi Zhu; Wei Wei; Siliang Shao; Xin Rui
Journal:  World J Surg Oncol       Date:  2018-03-20       Impact factor: 2.754

10.  Clinicopathological and prognostic significance of FoxM1 in hepatocellular carcinoma patients: a meta-analysis.

Authors:  Chaojie Liang; Jingyang Zhao; Hua Ge; Guangming Li; Jixiang Wu
Journal:  Onco Targets Ther       Date:  2018-06-19       Impact factor: 4.147

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