1. Introduction
Hepatocellular carcinoma (HCC) is the fifth most common cancer worldwide and the third-most common cause of cancer mortality [
1]. Although multidisciplinary therapeutic strategies have been proven effective for HCC treatments, the five-year survival of HCC patients remains poor due to frequent tumor recurrences after surgery [
2]. Therefore, elucidating the molecular mechanism underlying HCC tumorigenesis and identifying novel therapeutic targets are both of great significance in improving the overall prognosis of patients with HCC.
Milk fat globule-EGF factor 8 (MFG-E8) is a glycoprotein initially identified as a component of milk fat globules secreted from mammary epithelial cells [
3]. Human MFG-E8 consists of an N-terminal EGF-like domain which contains an integrin-binding RGD motif, and two repeated C-terminal discoidin/F5/8C domains that bind phosphatidylserine [
3]. Because phosphatidylserine is exposed on the surfaces of apoptotic cells, MFG-E8 has been studied as an opsonin that mediates clearance of dying cells via integrin-expressing phagocytes [
4,
5]. MFG-E8 is also expressed in many cell types, including mammary epithelial and myoepithelial cells, dendritic cells, endothelial cells, intestinal cells, and retinal epithelial cells. It has been demonstrated that MFG-E8 regulates cellular proliferation, differentiation, and migration under various pathophysiological conditions, including sepsis and age-related diseases [
6,
7]. We also showed that MFG-E8 is secreted from human umbilical cord mesenchymal stem cells and strongly inhibits the activation of hepatic stellate cells, reducing liver fibrosis both in vitro and in vivo [
8].
Recent studies have revealed that MFG-E8 is involved in the progression of a variety of tumors, including breast cancer, ovarian cancer, and colorectal cancer [
9,
10,
11]. MFG-E8 expression is significantly upregulated in colorectal cancer, oral squamous cell carcinoma, and melanoma, compared with normal tissues [
11,
12,
13]. A previous study found that there was a significantly higher rate of high MFG-E8 expression in the esophageal tumor tissues of patients treated with neoadjuvant chemotherapy (NAC), compared to those not treated with NAC [
14]. They also observed the increased expression of MFG-E8 in esophageal cancer cell lines after treatment with chemotherapeutic drugs. Another study using MFG-E8 knockout mice showed that MFG-E8 conferred anticancer drug resistance to cancer stem cells by activating Stat3 and Hedgehog signaling pathways [
15], suggesting the potential role of MFG-E8 in tumor resistance to chemotherapy. In addition, knockdown of the MFG-E8 gene reduces the tumorigenic properties of human melanoma cells [
13]. Induction of systemic MFG-E8 blockade by the infusion of anti-MFG-E8 antibodies significantly intensifies the antitumor activities of various therapeutic regimens in mouse xenografts of colon carcinoma, melanoma, thymoma, and fibrosarcoma [
16]. However, the role of MFG-E8 in the development and progression of liver cancer has yet to be elucidated.
In this study, we investigated the role of MFG-E8 in HCC using human HCC samples, three different HCC cell lines, and a xenograft animal model of HCC. Our data provide the first direct evidence that MFG-E8 is highly expressed in human HCC tissues and positively regulates the progression of HCC both in vitro and in vivo.
3. Discussion
While previous data revealed a significant correlation of MFG-E8 with the progression of multiple tumor types [
9], no available data have been published regarding the tumorigenic activity of MFG-E8 in HCC. High levels of MFG-E8 expression have been correlated to tumor progression via multiple pathways in various cancer types in different tissues, including the salivary gland, thyroid, pancreas, ovary, brain, skin, bladder, and blood [
17]. A previous study demonstrated that gene expression of MFG-E8 was significantly increased in tumor tissues from patients with cholangiocarcinoma and suggested that MFG-E8 is a promising biomarker for the management of cholangiocarcinoma [
18]. A recent study showed that serum MFG-E8 levels were significantly lower in patients with HCC than in healthy controls, suggesting that serum MFG-E8 could be a feasible biomarker for HCC [
19]. In the present study, we compared HCC tissues and adjacent normal tissues from the same patients and showed that MFG-E8 expression was significantly increased in primary and metastatic HCC tissues compared to normal liver tissues. We also observed that the expression of MFG-E8 was upregulated in all three HCC cell lines tested compared to primary hepatocytes. These results are in good agreement with the above-mentioned studies demonstrating a positive correlation of MFG-E8 expression in tissues with tumor progression in other organs [
9]. Patients with melanoma who exhibited a high level of MFG-E8 expression had significantly shorter survival periods than those without MFG-E8 expression [
17]. Therefore, these findings altogether strongly suggest that MFG-E8 expression may serve as a promising tissue biomarker for both the diagnosis and prognosis of HCC. As described above, a previous study demonstrated that serum levels of MFG-E8 were lower in HCC patients compared with healthy control [
19]. However, this study obtained contradictory results from liver tissues, showing that the expression levels of MFG-E8 were higher in HCC tissues than those in normal tissues [
19], as we observed in the present study. Our previous study also demonstrated similar conflicting results showing that serum MFG-E8 levels were comparable in normal and cirrhotic patients, while tissue expression of MFG-E8 was reduced profoundly in the liver tissues of patients with cirrhosis [
8]. The discrepancy in MFG-E8 levels between liver tissues and serum was possibly due to the production of MFG-E8 from various tissues other than the liver [
3]. Currently, there is limited information regarding the expression kinetics of MFG-E8 during tumor progression, not only for HCC but also for other cancer types. Therefore, it will be interesting to investigate the kinetics of MFG-E8 expression in tissues and its levels in serum during the different stages of acute and chronic liver diseases and tumorigenesis.
Our in vitro loss- and gain-of-function analyses clearly showed that MFG-E8 is actively involved in HCC tumor progression. We also showed that MFG-E8 has tumor-promoting effects in HCC using a mouse xenograft model in vivo. In particular, the in vitro proliferation and migration of HCC cells were more profoundly reduced by the direct targeting of MFG-E8 activity using antibodies, compared to knockdown of MFG-E8 expression using siRNA. Previous studies showed that the administration of MFG-E8-specific monoclonal antibodies effectively blocked the tumor-promoting effects of MFG-E8 in ovarian and breast carcinomas [
20]. In addition, the systemic blocking of MFG-E8 activities using MFG-E8 antibodies enhanced the therapeutic effects of anticancer regimens in colon carcinoma, melanoma, thymoma, and fibrosarcoma [
16]. Thus, our data suggest that anti-MFG-E8 antibodies could serve as a potential therapeutic regimen against HCC progression and metastasis.
The exact mechanism by which MFG-E8 affects tumor progression is not fully understood and remains to be investigated. MFG-E8 plays diverse cellular roles by binding to integrins via its RGD motif. Our previous study also showed that the binding of MFG-E8 to integrin αvβ3 suppressed TGFβ-induced activation of hepatic stellate cells [
8]. Integrin αvβ3 is highly expressed in primary liver cancer and is involved in HCC progression [
21,
22]. In the present study, our data suggest that MFG-E8 induced the integrin-mediated phosphorylation of Akt and upregulated the expression of cyclin D1 in HCC cells. Therefore, MFG-E8 may bind to integrins and activate Akt/Twist signaling pathways, promoting HCC cell growth and migration, as previously suggested in patients with melanoma [
13]. Previous studies demonstrated that MFG-E8 promotes vascular endothelial growth factor-dependent neovascularization and angiogenesis, possibly through αvβ3/5 integrin-mediated AKT phosphorylation [
23,
24]. In the present study, we found that the number of CD31-postive endothelial cells significantly increased in HCC tumors overexpressing MFG-E8 compared with control HCC tumor tissues in mouse xenografts. Thus, it is possible that MFG-E8 contributes to blood vessel formation in HCC tissues, which is a key process in tumor progression. Other potential mechanisms may be involved in the exosome-mediated tumor progression. Exosomes play important roles in the exchange and delivery of mRNA, miRNA, and proteins between cells, thus modulating the microenvironment [
25,
26]. Tumor-derived exosomes promote the epithelial–mesenchymal transition, tumor angiogenesis, and metastasis [
20,
27,
28]. MFG-E8 is secreted from cells in association with exosomes and may play an important role in exosome secretion and delivery [
25,
29,
30]. Thus, it is possible that MFG-E8 may regulate the HCC microenvironment by mediating exosome trafficking. Further studies regarding cellular and molecular events are needed to elucidate the exact role of MFG-E8 in the progression of HCC.
Our in vivo study showed that MFG-E8 overexpression significantly increased the tumor volume/weight and the number of proliferating cells as well as endothelial cells in the tumor grafts. Although the size and histochemical differences of tumors were significantly different between control and MFG-E8-overexpressing groups, the small number of animals is a major limitation in the present study. Further studies involving large numbers of animals in different stages of HCC are needed to elucidate the expression kinetics and the exact mechanism of MFG-E8 in HCC progression.
4. Methods and Materials
4.1. Tissue Preparation and Cell Culture
Thirty-three pairs of HCC and adjacent non-tumor liver tissues were obtained from HCC patients (n = 33) who underwent surgical resection without any radiotherapy and chemotherapy before the surgery at Kyung Hee University Hospital at Gangdong (Seoul, Korea; IRB No., KHNMC IRB 2012-065). The total of 33 HCC samples included 20 primary and 13 metastatic specimens. The diagnosis of HCC and pathological grades were confirmed by certified pathologists. Pathologic differentiation of primary HCC was classified as grade I-IV according to the Edmondson–Steiner’s histopathological classification [
31] and the grades were divided into two groups, the low (grade I and II, n = 10) and high grade (grade III and IV, n = 10) groups. Based on the WHO classification, 1, 17, and 2 of the 20 primary tumor samples were graded as well-, moderately-, and poorly-differentiated tumors, respectively. Human HCC cell lines (Huh7, HepG2, and Hep3B) were obtained from the American Type Culture Collection (USA). All cell lines were cultured in Dulbecco’s modified Eagle’s medium (Hyclone, USA) containing 10% fetal bovine serum (Gibco-BRL, USA) and 1% penicillin/streptomycin (Gibco-BRL) at 37°C in a humidified atmosphere with 5% CO
2. Human primary hepatocytes were purchased from Lonza (USA) and cultured in Lonza hepatocyte culture media according to the manufacturer’s instructions.
4.2. Lentiviral Transduction
Lentiviral pcLV-CMV-MFG-E8-EF1a-Neo-eGFP vector (Sirion Biotech GmbH, Germany) was used to express GFP-tagged MFG-E8 (MFG-E8-GFP) in HCC cell lines. Cells were cultured at 5 × 104 cells/well into 6-well tissue culture plates overnight. The viral supernatant was then added to cells at a multiplicity of infection of 10 with 5 μg/mL polybrene. The expression of GFP was evaluated by fluorescence microscopy to estimate infection efficiency. HCC cells infected with an MFG-E8-expressing lentiviral vector and non-targeting control lentivirus vector were named ‘LV-MFG-E8’ and ‘LV-NTC,’ respectively.
4.3. MFG-E8 siRNA, Activity-Neutralizing Anti-MFG-E8 Antibody, and GRGDSP Peptides
Knockdown of MFG-E8 was conducted using Silencer Select predesigned MFG-E8 siRNA or a siRNA negative control from Life Technology (siRNA ID: S224038, Ambion, USA). The siRNA target sequences are as follows: sense 5′-GUGGGUAACUGGAACAAAtt-3′ and antisense 5′-UUUUGUUCCAGUUACCCACaa-3’. HCC cells were seeded at 2 × 105 cells/well in 6-well plates 24 h before transfection. siRNA (50 nM/well) was transfected using LipoJet In Vitro Transfection Kit (SignaGen Laboratories, Rockville, MD, USA). To evaluate whether the neutralization of MFG-E8 activity affected the biological processes of HCC cells, an MFG-E8 activity-neutralizing antibody (sc8029, Santa Cruz, 1 µg/mL) was used for the cellular proliferation and wound healing assays. To evaluate the MFG-E8-mediated integrin signaling, a synthetic integrin-blocking RGD-based peptide (GRGDSP, AnaSpec, Fremont, CA, USA, 100 μM) was used to inhibit integrin-biding to RGD motif of MFG-E8.
4.4. Immunostaining
For colorimetric staining, tissue samples were fixed in formalin, embedded in paraffin, and cut into 4-μm-thick sections. Tissue sections were deparaffinized twice in xylene and microwaved for antigen retrieval in low-pH buffer (pH 6.0) for 20 min. After treatment with 3% hydrogen peroxide for 15 min to block endogenous peroxidases, the sections were incubated with the corresponding primary antibodies at room temperature for 15 min, followed by incubation with HRP-labeled polymer-conjugated goat anti-mouse IgG (Dako Cytomation Envision+ System, DAKO, Carpinteria, CA, USA) for 30 min. Subsequently, the sections were developed using 3,3’-diaminobenzidine chromogen and substrate buffer (DAKO). All sections were counterstained with hematoxylin. Primary antibodies were purchased from Santa Cruz Biotechnology ( Santa Cruz, CA, USA) and used at the following dilutions: anti-MFG-E8 (sc8029, 1:100), Ki67 (sc23900, 1:100), and AFP (sc8108, 1:50).
For immunofluorescence staining, cells and tissues were fixed in cold 4% paraformaldehyde (Sigma-Aldrich, St Louis, MO, USA) in phosphate-buffered saline (PBS, Gibco-BRL, Gaithersburg, MD, USA). Tissues were embedded in O.C.T. compound (Tissue Tek, Sakura Finetek USA, Torrance, CA, USA) after fixation and then sectioned into 4-μm slices. After blocking and permeabilization in 0.3% Triton X-100 (Sigma-Aldrich) and 10% donkey serum (Sigma-Aldrich) in 0.1% bovine serum albumin (Sigma-Aldrich)/PBS, the sections were incubated at 4 °C overnight with primary antibodies. For MFG-E8, AFP, and CD31 staining, Alexa Fluor 488-conjugated donkey antibodies against rabbit or goat IgG, or Alexa Fluor 594-conjugated donkey antibody against mouse IgG (Invitrogen, Carlsbad, CA, USA) were used as secondary antibodies. An Apotome-Axiovert 200M fluorescence microscope (Carl Zeiss, Oberkochen, Germany) was used to visualize cells after counterstaining with 4′,6-diamidino-2-phenylindoledihydrochlorid (DAPI, 1:1,000, Sigma-Aldrich). To quantify the immunofluorescence intensity of MFG-E8 and AFP expression, ImageJ software (National Institutes of Health, Bethesda, MD, USA) was used to assess the mean fluorescence intensity of greyscale images in five random fields of tumor and normal regions from each tissue section obtained from the 33 patients. The value was expressed as relative values to those in normal tissues, which were arbitrarily set as 1.
4.5. ELISA
Culture media were collected from primary hepatocytes and from Huh7, HepG2, and Hep3B cells after 24 h of culture, centrifuged to obtain the supernatants, and assessed for MFG-E8 levels using ELISA kits (R&D Systems, Minneapolis, MN, USA) according to the manufacturer’s instructions. Absorbance was immediately read at 450 nm using a microplate reader (Bio-Tek Instruments, Bad Friedrichshall, Germany).
4.6. RT-qPCR
For gene expression analyses, HCC and adjacent non-tumor liver tissues from patients (n = 10) were provided by the Biobank of Ajou University Hospital and Korea University Guro Hospital. Total RNA was extracted from two groups of tissues (HCC and non-tumor tissues) frozen in liquid nitrogen or cultured cells using Trizol reagent (Invitrogen, USA) and then reverse-transcribed into cDNA using the RevertAid First Strand cDNA Synthesis Kit (Thermo Fisher Scientific, Waltham, MA, USA). For RT-qPCR, cDNA was mixed with the appropriate primers and the SYBR-Green Super mix (Bio-Rad, Hercules, CA, USA) and then run on the CFX96 Real-Time System (Bio-Rad). The reaction conditions were 96 °C for 1 min, and 40 cycles of 96 °C for 10 s, 57 °C for 10 s, and 72 °C for 30 s. The 2–∆∆Ct method was used to calculate the relative expression of MGF-E8, and the data obtained were normalized to GAPDH levels. The primer pairs used were: MFG-E8 forward primer, 5′-CCGTAACTTTGGCTCTGTCC-3′ and reverse primer, 5′-TCTTGTGGGAGTGGTTGTCC-3′; Cyclin D1 forward primer, 5′-GCTGCGAAGTGGAAACCATC-3′ and reverse primer, 5′-CCTCCTTCTGCACACATTTGAA-3′; GAPDH forward primer, 5′-AGGGCTGCTTTTAACTCTGGT-3′ and reverse primer, 5′-CCCCACTTGATTTTGGAGGGA-3′.
4.7. Western Blot Analysis
Cells were lysed using RIPA buffer for protein extraction. The protein concentration was measured using the bicinchoninic acid (BCA) protein assay kit (Bio-Rad, USA). An equal amount of protein was separated by 8% SDS-PAGE and then transferred onto PVDF membranes (Millipore, Billerica, MA, USA). The membranes were blocked with Tris Buffered Saline-0.1% Tween 20 (TBST)-3% bovine serum albumin (Sigma-Aldrich) and then incubated overnight at 4 °C with primary antibodies against p-AKT (rabbit polyclonal antibody, 1:1000, Cell Signaling Technology, Inc., Danvers, MA, USA), AKT (rabbit polyclonal antibody, 1:1000, Cell Signaling Technology, Inc.), and glyceraldehyde 3-phosphate dehydrogenase (GAPDH; rabbit polyclonal antibody, 1:2000, Santa Cruz Biotechnology). Subsequently, the membranes were washed with TBST solution and then incubated with HRP-conjugated secondary antibody (1:2000). Protein bands were visualized with Pierce™ Fast Western Kit (Thermo Fisher Scientific) and quantified by ImageJ software (National Institutes of Health).
4.8. Cell Proliferation Assay
Cells were seeded in each well of a 96-well plate at a density of 1 × 104 cells/well. Following incubation at 37 °C for different periods of time (0, 24, 48, and 72 h), the culture media were removed, and 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) (Sigma-Aldrich, 5 mg/mL) was added to each well. After incubation at 37 °C for another 4 h, the MTT solution was removed and replaced with dimethyl sulfoxide (Sigma-Aldrich). Absorbance was measured at 570 nm using a microplate reader (Bio-Tek Instruments).
4.9. Wound Healing Assay
To determine the role of MFG-E8 in the regulation of HCC cell migration, a wound scrape assay was performed. Briefly, artificial vertical scratches were made on confluent monolayers in 60-mm culture dishes with a 200-μL yellow pipette tip. The process by which the scratches were filled by migrating cells was monitored under a phase-contrast microscope equipped with a digital camera at 0, 24, 48, 72, and 96 h after plating. The cell migration rate was calculated using the following formula: Cell migration distance/original wound width × 100 for each time point.
4.10. Mouse Xenograft Model
The animal protocol was approved by the Animal Care and Use Committee of Korea University (IRB No., KUIACUC-2018-0019). Male BALB/c nude mice (6 weeks of age) were purchased from Orient Bio (Gyonggi-Do, Korea). Huh7 cells transfected with LV-NTC (n = 3) or LV-MFG-E8 (n = 3) (both groups: 5 × 106 cells per mouse) were subcutaneously injected into the flanks of BALB/c nude mice. An additional 10 animals were injected with Hep3B (LV-NTC, n = 3; LV-MFG-E8, n = 3) and HepG2 cells (LV-NTC, n = 2; LV-MFG-E8, n = 2). The lengths and widths of tumors were measured using a caliper every week. All mice were euthanized at 9 weeks post-injection, and the tumor nodules were removed and weighed. The tumor volume was calculated according to the following formula: tumor volume (mm3) = length (mm) × width (mm)2/2.
4.11. Statistical Analysis
All the results except in vivo data were obtained from at least three independent experiments unless otherwise indicated and expressed as the mean ± standard deviation (S.D.). Statistical analyses were performed using SPSS software, version 25.0 (IBM SPSS, Armonk, NY, USA). Comparisons between different groups were made using a two-tailed Student’s t-test. P values less than 0.05 were considered statistically significant.