Open Access

WAP four-disulfide core domain protein 2 promotes metastasis of human ovarian cancer by regulation of metastasis-associated genes

Journal of Ovarian Research201710:40

https://doi.org/10.1186/s13048-017-0329-0

Received: 29 November 2016

Accepted: 24 April 2017

Published: 5 July 2017

Abstract

Background

WAP four-disulfide core domain protein 2 (WFDC2) shows a tumor-restricted upregulated pattern of expression in ovarian cancer.

Methods

In this study, we evaluated the role of WFCD2 in tumor mobility, invasion and metastasis of ovarian cancer in clinical tissue and in ovarian cancer cells, both in vitro and in vivo.

Results

Our results revealed WFCD2 was overexpressed in ovarian tissues, and the expression level of WFCD2 was associated with metastasis and lymph node metastasis. Higher expression of WFCD2 was also observed in aggressive HO8910-PM cells than in HO8910 cells, and WFCD2 knockdown halted cell migration, invasion, tumorigenicity and metastasis in ovarian cancer cells, both in vitro and in vivo. Knockdown of WFDC2 induced the down-regulation of ICAM-1, CD44, and MMP2.

Conclusion

In summary, our work demonstrates that WFCD2 promotes metastasis in ovarian cancer. These findings suggest that WFCD2 plays a critical role in promoting metastasis and may constitute a potential therapeutic target of ovarian cancer.

Keywords

WFCD2 Ovarian cancer Metastasis Cell migration and invasion;

Background

Among women, ovarian cancer is one of the most common gynecological cancers worldwide. With the highest mortality rate of all gynecologic cancers, ovarian cancer is very problematic to treat. Even after optimal treatment, more than half of patients suffer recurrence and eventually die [1].

Tumor progression is generally associated with extensive tissue remodeling to provide a proper environment for tumor growth, angiogenesis, invasion, and eventual metastasis of cancer cells. It is known that proteases are key agents in tumor progression, and that naturally expressed protease inhibitors have the ability to counteract tumor progression and metastasis [24]. However, expression of serine protease inhibitors (SPIs) in tumors is often associated with poor prognosis in cancer patients. Moreover, there is growing evidence that SPIs may even promote cancer cell malignancy which, if confirmed, could make them useful biomarkers of malignancy [5].

A recent study has identified WFCD2 as a new member of the group of serine protease inhibitors belonging to the WAP family. While prior research indicated a direct linkage between WFCD2 expression and cell proliferation [6, 7], its physiological and pathological mechanisms in tumorigenesis and metastasis have not been clearly elucidated.

Human WFCD2 gene located on chromosome 20q12–13.1 locus, which encode a serial of proteins with a WAP-type four disulphide core (WFDC) domain [8, 9]. More and more evidence suggests that overexpression of WAP-type proteins closely related to tumor metastasis, especial SLPI and P13 (encode antileukoproteinase 1 and elafin respectively). Both SLPI and P13 are co-expressed with WFCD2 and have been identified as a promoter in cancer development in various carcinomas [10, 11]. Expression of SLPI is positively correlated with increased expression of the cell cycle progression factor Cyclin D1 [12, 13], and its causal role in the promotion of malignant behavior has also been demonstrated in lung carcinoma cells stably transfected with human SLPI-expression constructs [14]. Elafin (P13) also has a role in counteracting environmental proteolytic conditions and repair-processes that are commonly associated with the inflammatory response, cancer progression, and invasion of various tumor cells [3, 15].

In view of the above information, the WAP proteins, had been considered as being associated with high-risk, metastatic, or aggressive cancer originating from various organs [9, 16]. We speculated that WFCD2 might also play some role in tumor progression in ovarian cancer.

Our previous study indicated that knockdown of WFCD2 induced the up-regulation of Fasl and down-regulation of Cyclin D1, as well as activating Caspase 3 and Ki67 [6]. These results indicate that WFCD2 plays very important roles in tumor formation and proliferation. In the presented study, we analyze the expression of WFCD2 in ovarian cancer cell line HO8910 and aggressively malignant line HO8910-PM. A cell model of WFCD2 gene down-regulation was constructed and used to analyze the function of WFCD2 in tumor metastasis and tumorigenesis in vitro and in vivo.

Methods

Ethic statement

Ovarian tumors were obtained from a cohort of patients treated at Nanfang Hospital, affiliated with Southern medical University, China, between 2011 and 2014. All research involving human ovarian cancer tissues have been approved by Nanfang hospital ethics committee and written consent was obtained from all participants. The 6- to 8-week-old female BALB/c–nu mice used in these experiments were provided by the experimental animal center of the Southern Medical University (Guangzhou, China). All mouse studies were approved by the Animal Ethics Committee of the Southern Medical University (Permit Number 20060015). All work was undertaken and that it conforms to the provisions of the declaration of Helsinki (as revised in Fortaleza, Brazil, October 2013).

Patients and tissue samples

The median age of the patients was 50.8 years. All patients were diagnosed by pathological analyses based on the International Union Against Cancer (UICC) tumor node metastasis (TNM) stage system. 100 tissue samples (Table 1) from normal ovarian, primary tumors and matched adjacent non-neoplastic ovarian tissues were collected and prepared for Anti-WFCD2 polyclonal antibody (Abcam, Cambridge, MA, USA) was used as primary antibody. The staining intensity (0, no staining; 1, weak staining; 2,moderate staining; and 3, intense staining) and the proportion of stained cells (0, no staining; 1, <10% staining; 2, between 11 and 33% staining; 3, between 34 and 66% staining; and 4, >67% staining) were semiquantitatively determined. The intensity and the percentage of positive cell scores were multiplied (0–12) and classified into three groups: weak (0–4), moderate (5–8) and strong (9–12). All slides were scored by two observers blinded to the pathology and the clinical features.
Table 1

Distribution by tumor characteristics for ovarian cancer patients

Variable

No. patients (%)

 

n

%

Total

 Age(years)

  

  ≤ 50

38

38

  > 50

62

62

FIGO stage

 Stage I

26

28.57

 Stage II

21

23.08

 Stage III

31

34.07

 Stage IV

12

13.19

Grade(Epithelial, n = 91)

 G1

29

31.87

 G2

46

50.55

 G3

16

17.58

Histological type

 Serous cystadenocarcinoma

46

50.55

 Mucinous cystadenocarcinoma

22

24.18

 Endometrioid tumor

14

15.38

 Clear cell cacinoma

9

9.89

Transcoelomic Metastasis

 No

65

71.42

 Yes

26

28.57

Lymph node metastasis

 No

74

81.31

 Yes

17

18.69

Cell lines and reagents

Human ovarian cancer cell lines SKOV3, HO8910 and HO8910-PM were purchased from the cell bank of the Chinese Academy of Sciences (Shanghai, China). The cells were maintained in Dulbecco’s modified Eagle’s medium (DMEM) media supplemented with 10% fetal calf serum (FBS) in an atmosphere of 5% CO2 at 37 °C. Restriction enzymes from TAKARA (TaKaRa Bio, Inc., Shiga, Japan); Transwell system from CostarCorning (Corning, NY, USA).; Puromycin and Trizol reagent from Invitrogen (Life Technologies, Carlsbad, CA, USA); cell culture media (antibiotic, serum and glutamine) from GIBCO (Life Technologies, Carlsbad, CA, USA). All other molecular reagents and solvents were purchased from SIGMA Corp (St. Louis, MO, USA).

Gene knockdown

WFCD2 knockdown was conducted in low-passage (<20) ovarian cancer cells. The shRNA oligo sequences were designed to against the human WFCD2 gene (Gene Bank Accession No. NM_0006103.3). The shRNA sequence against WFCD2(5′-GCTCTCTGCCCAATGATAAGG-3′) and a invalid RNAi sequence(5′-GTTCTCCGAACGTGTCACGT-3′) were chemically synthesized and constructed into the lentiviral by Shanghai Genepharma Co.Ltd. The WFCD2-specific shRNA lentivirus paticals was collected and transfected into the HO8910 and SKOV3 cell lines. For stable knockdown of WFCD2, the transfected HO8910 and SKOV3 cell lines, named HO8910–209 and SKOV3–209 respectively, were selected by Puromycin. Puromycin-resistant colonies were picked and expanded separately.

RNA extraction and real-time RT-PCR

Total RNA was isolated with Trizol regents and reverse transcription was performed using the PrimeScript 1st Strand cDNA Synthesis Kit, according to the manufacturer’s instructions, cDNA samples (0.1 μg) were assayed in duplicate using the ABI Prism 7500 detection system (Life Technologies, Carlsbad, CA, USA). Using the SYBR Green PCR Master Mix (TaKaRa) following protocols. The relative quantization number was then calculated by subtracting the average CT from the corresponding average CT for β-actin.

Tumour migration assay

Transwell polycarbonate plates with 6.5 mm diameter tissue culture inserts containing a membrane with 8 μm pores were used for migration assay. Low passage (<20) cells were cultured in the medium without serum to synchronize most of them at G1/G0 and then suspended in serum-free DMEM and seeded (5 × 104 cells/well) into each insert. The condition medium with 10% FBS collected after 24 h culture was added to each outer well. The plates were then assembled and incubated for 8 h at 37 °C, 5%CO2. After a 8 h incubation, the plates were rinsed once in PBS, fixed in 70% alcohol for 10 min, and rinsed with 0.5% crystal violet. Cells adhering to the top surface of the tissue culture inserts were removed with a cotton tip applicator, while cells adhering to the bottom surface of the inserts were rinsed with 1% Triton-X 100 in PBS for 20 min. The membranes of the tissue culture inserts were viewed under amicroscope (10× magnification) and the number of cells in 4 random fields was determined.

Tumour invasion assay

For invasion assays, 5 × 104 cells (cell passage <10) were cultured in the medium without serum to synchronize most of them at G1/G0 and then plated in DMEM/1% FBS in a cell invasion chamber (Transwell Cell invasion assay kit, Corning) in a 24-well plate, which contained an 8 μm pore size polycarbonate membrane covered with a thin layer of collagen matrix. Invasive cells migrated through a membrane according to the gradient of FBS to the lower chamber, which contained DMEM/15% FBS. The invasive cells were stained with crystal violet, and the number of cells in 4 random 10× magnification fields was determined.

In vivo tumor formation and peritoneal dissemination

For the generation of intraperitoneal tumors, HO8910-NA cells and HO8910–209 cells were injected intraperitoneally (i.p.) into mice (n = 10). Each mouse received one injection of 3 × 106cells. Animals were monitored 3 times weekly for tumor formation. All injection-treated mice were fed for 10 weeks after injection. At the end of 10 weeks, all the mice were sacrificed and the abdominal region examined for tumor formation. Each tumor burden in the peritoneal cavity was weighed and collected and paraffin-preserved according to the usual protocols.

Western blot

Total protein was extracted by sonication in radio-immunoprecipitation assay (RIPA) buffer(50 mM Tris–HCl pH 7.5, 150 mM NaCl, 5 mM EDTA, 0.5% Nonidet P-40, 5 mM dithiothreitol, 10 mM NaF, protease inhibitor cocktail). 100 μg denaturedprotein was separated on an SDS-polyacrylamide gel and transferred to Hybond membrane (Amersham, Germany), which was then blocked overnight in 5% skimmed milk inTris-bufferedsaline with Tween 20 (TTBS, 10 mM Tris–HCl, 150 mM NaCl, 0.1% Tween 20). For immunoblotting, the membrane was incubated for 15 min with antibodies. The membrane was rinsed with TBST and incubated with anti-mouse, anti-rabbit or anti-goat IgG conjugated to horseradish peroxidase (DAKO, USA, 1:1000) for 15 min. All the incubations were performed in a microwave oven to allow intermittent irradiation. Bands were visualized with LAS4010 (GE Healthcare Life Science, USA) by ECL-Plus detection reagents (Santa Cruz, USA). Densitometric quantification of protein bands was performed with GAPDH as an internal control using Image J (NIH, USA).

Immunohistochemistry

Immunohistochemistry was done using a single-staining procedure. Anti-WFCD2, anti-Ecadherin,anti-Vimentin monoclonal antibody (Cell Signaling Technology), anti-CD44,anti-MMP2,anti-MMP9,and anti-ICAM-1 rabbit polyclonal antibody (Santa Cruz Biotechnology), were applied to the slides at a dilution of 1:1,00 ~ 1:150 in blocking buffer overnight at 4 °C. The slides were then washed and stained by the avidin-biotin method. The slides were lightly counter stained with hematoxylin. Tumor cells were considered positive for the antigen if there was brown color staining. The intensity was scored as negative (0), weak (1), medium (2), and strong (3),and the proportion of staining was scored as 1 (≤10%), 2 (11–50%), 3 (51–75%), and 4 (>75%). An overall expression score was calculated by multiplying the scores for intensity and proportion, ranging from 0 to 12. For ICAM-1, at least 500 tumor cell for each xenograft sample (n = 5) were randomly selected and counted. The number of positive cell was counted and the positive index was calculated as follows: ICAM-1 index = (number of stained cells/total cell number) × 100%.

Statistical analysis

All experiments were performed at least in triplicate. All data are reported as the mean ± standard deviation. Using Excel 2007 (Microsoft Corporation, Redmond, WA, USA). Microsoft Office Excel 2007 (Microsoft Corporation, Redmond, WA, USA) and the statistical software SPSS13.0 (SPSS Inc., Chicago, IL, USA) were used in data processing and analyzing the significance with the one-way ANOVA,t-Test,or the log rank test (for Kaplan-Meier plots). Results with P < 0.05 were considered statistically significant.

Results

Increased expression of WFCD2 correlated with the progression and peritoneal metastasis of human ovarian cancer

To examine the potential clinical relevance of WFCD2 to ovarian cancer progression, the human ovarian cancer tissues were derived from patients with progressive ovarian disease to investigate WFCD2 expression and its association with different clinicopathological parameters. Undetectable to very low WFCD2 staining were observed in normal ovarian tissue, whereas ovarian carcinomas showed higher WFCD2 immunoreactivity in most cases (Fig. 1a). The WFCD2 staining score of carcinomas is significantly higher than that of non-neoplastic ovarian tissues (all FIGO stage), which revealed a correlation between WFCD2 expression levels and ovarian cancer progression (Fig. 1b), while no significence had been observed between high-grade carcinomas and low-grade carcinomas. Next, the correlation between WFCD2 expression and key clinical parameters in human ovarian cancer were assessed. There were no significant correlations between high WFCD2 expression and patient age or histological subtypes. While consistent with the results in migration and invasion assay in vitro, peritoneal transcoelomic dissemination was positively associated with the expression of WFCD2. The expresoion of WFCD2 was higher in primary tumors with peritoneal metastasis and lymph node metastasis sample (Fig. 1c-d). The Kaplan-Meir survival graphs in Fig. 1e display the association of WFDC2 expression with ovarian cancer survival. As shown in Fig. 1e, the degree of expression of WFDC2 were significantly associated with longer survival in EC (log rank p = 0.0117).Taken together, these data strongly indicate that enhanced WFCD2 may play a role in the progression of the primary ovarian cancer cell to peritoneal metastasis.
Fig. 1

Over-expression of WFDC2 was correlated with stage and peritoneal metastasis in ovarian cancer. a Representative images of WFDC2 expression in normal ovarian tissue and primary ovarian cancer tissues (FIGO I, II, III, and IV) are shown (200× magnificaiton); b WFDC2 is significantly increased in specimens from ovarian cancer tissue compare with the normal ovarian tissue(* P < 0.05;); c WFDC2 scores are significantly higher in primaray tumors with metastasis than in non-metastasis specimens(* P < 0.05;). d WFDC2 scores are significantly higher in primaray tumors with lymph mode metastasis than in non-lymph mode metastasis specimens(* P < 0.05;).(E) Kaplan-Meier survival curves for 72 ovarian cancer patients, stratified based on individual WFDC2 expression(* P < 0.05;)

Expression of WFCD2 mRNA and protein in HO8910 and HO8910-PM cells

HO8910 is a poorly differentiated human ovarian serous adenocarcinoma cell line and removed from a patient with serous ovarian Cystadeno carcinoma as well as ascites. The HO8910PM cell line was derived from HO8910 grown as xenografts in nude mice and was considered to possess more invasive and metastatic potential than HO8910 cell lines [17]. Real-time RT-PCR showed that WFCD2 mRNA was expressed more strongly in HO8910PM cells, at levels 8 times higher than that observed in the HO8910 cells (p < 0.005) (Fig. 2a). Secreted WFCD2 protein was detected only at very low levels in the medium containing HO8910 cells, but was amplified three folds in the HO8910-PM cells by comparison (p < 0.005) (Fig. 2b). These results, with significantly different levels of WFCD2 expression between HO8910 and HO8910PM, indicate that WFCD2 might be involved in cell invasion and the metastasis of ovarian cancer cells.
Fig. 2

Expression of WFDC2 in HO8910 cell line and high metastatic potential HO8910PM cells. a Normalized WFDC2 genes mRNA levels in the HO8910 and HO8910-PM. The relative quantities of WFDC2 protein were determined by densitometry and normalized by using β-actin. *P < 0.05 compared to HO8910; b Western blot analysis of expression of WFDC2 and GAPDH. Normalized WFDC2 protein levels in ovarian cancer cell lines HO8910 and HO8910PM. The relative quantities of WFDC2 protein were determined by densitometry and normalized by using GAPDH. *P < 0.05 HO8910-PM compared to HO8910

WFCD2 knockdown reduces cell migration, invasion

WFCD2 knockdown was conducted in HO8910 and SKOV3 ovarian cancer cells (see Additional file 1: Figure S1). Before we did the cell migration and invasion assay, we had considered that the knockdown of WFDC2 cause slower growth and reduced cycling D level and may cause confused in the result. So before we seed the cells into the culture insert, we starved the cell for 12 h by culturing in the medium without serum. So all the cells would be synchronize most of them at G1/G0 to reduce the confounding effects of reduced cell proliferation in the knockdown cells. The transwell system was used for migration and invasion assay. The migration assay showed that the number of WFCD2 knockdown cells passing through the membrane was much lower than the control cells (Fig. 3a, b). In the invasion assay, a polycarbonate membrane over which a thin layer of extracellular matrix (ECM) was applied served as an in vitro basement membrane. Since only invasive cells are capable of migrating through the ECM layer, we observed that the number of cells passing through the ECM layer was much lower in the WFCD2 knockdown group than the control. This result indicated that cells of control group readily passed through the membrane, the WFCD2-knockdown cells were in large part unable to invade the matrix, (Fig. 3a, b), indicating that overexpression of WFCD2 in ovarian cancer might heighten the potential for tumour metastasis.
Fig. 3

WFCD2 knockdown reduces cell migration, invasion. a Assessment of cell migration and invasion of WFDC2 knockdown lines and control. b Quantification of the migration and invasion is expressed as the number of invasive cells per HPF. Bottom, representative micrographs of the transwell migration and invasion assay (10× magnification) * P < 0.05 ** <0.01 WFDC2 knockdown (sh-WFDC2) compared to negative control (sh-NA)

WFCD2 knockdown reduces and peritoneal implantation potential of ovarian cancer cells

Tumor growth and peritoneal dissemination was also evaluated in vivo. We utilized the intraperitoneal xenograft mouse model with WFCD2 knockdown and the control cells. 10 weeks after tumor inoculation, mice were sacrificed and we measured the peritoneal dissemination of the mice. Figure 4a shows the effects of WFCD2 knockdown on the peritoneal dissemination of ovarian cancer cells. In the negtive control group, many peritoneally disseminated tumors (marked with arrows) were observed, whereas in the WFDC2 knockdown mice peritoneal dissemination was clearly suppressed. Peritoneal disseminated tumors had been observed in 8 of 10 mice in the negtive control group group, while only 3 mice in WFDC2 knockdown group were found to have tumor metastases. Peritoneal and mesenteric nodules were observed in the liver (6/10), intestines (8/10) and abdomen (3/10) in the mice of the negtive control group. However, in mice of the WFDC2 knockdown group, peritoneal and mesenteric nodules were absent from abdominal organs, though some were found in the intestine (3/10). These data indicate that, compared with the control group, the growth and metastasis of tumors were markedly inhibited by WFCD2 gene knockdown (Fig. 4b). The sizes and number of peritoneal and mesenteric nodules at 10 weeks after the transplantation of WFDC2 knockdown cells were significantly smaller and fewer than that of the control group (Fig. 4b).
Fig. 4

WFDC2 Promoted the metastasis and of peritoneal implantation of ovarian cancer cell. a WFDC2 knockdown suppressed growth of HO8910 ovarian cancer cells in the peritoneum compared with the negative control on week 10 after transplanting. b Effect of WFDC2 knockdown on peritoneal dissemination was assessed by counting the number of nodules and evaluating tumor size in the mesentery and peritoneal wall compared with controls. Ten mice were used in each group. Each value represents mean ± s.e. * P < 0.05, WFDC2 knockdown (sh-WFDC2) compared to negative control (sh-NA)

The pro-malignant activity of WFCD2 is mediated by its effect on CD44,MMP2 and ICAM-1 expression

Since reduced exogenous secretion of WFCD2 in WFCD2 gene knockdown mice resulted in a significant suppression of tumorigenesis and metastasis. We suspect that WFCD2 promotes the peritoneal implantation of ovarian cancer cells. To explore the mechanisms of tumor inhibition by WFCD2 knockdown in vivo, the animals were sacrificed and the expression of the genes related to tumorigenesis and metastasis were detected by immunohistochemistry (CD44,ICAM-1,VCAM-1,MMP2,MMP9). In our study, CD44 and MMP2 staining showed that membrane localization of this protein was reduced when WFCD2 was depleted (Fig. 5a, d, f). We also found that the number of positive cells in the ICAM-1 staining was lower in the WFCD2 knockdown cells compared to the control (Fig. 5a, c). The IHC results had been comfirmed by qRT-PCR (Additional file 1: Figure S2). These results confirm the relationship between the WFCD2 and cell tumorigenesis and metastasis of cancer cells.
Fig. 5

The expression of ICAM-1,MMP2 and CD44 on WFDC2 and WFDC2 knockdown cells. a WFDC2,ICAM-1 and CD44 immunohistochemistry in WFDC2 knockdown and negative control xenografts; Xenograft tumor sections (HO8910) were stained with either anti-WFDC2 antibody,anti-CD44 antibody,anti-MMP2 or anti-ICAM-1 antibody. b, c, d, e.Normalized WFDC2,ICAM-1,MMP2and CD44 protein levels in WFDC2 knockdown and negtive control xenografts. *P < 0.05 WFDC2 knockdown compared to negative control; f Summary of WFDC2-mediated molecular effects on ovarian cancer metastasis

Discussion

Various regulators are involved in the processes of malignancy and metastasis. Recent evidence suggests that proteins of the WAP family play an important role in tumor progression, malignancy, and metastasis [9, 18].

WFCD2 is one of the members of the WAP family and previous research has shown that the blood concentration of WFCD2 is higher in patients with ovarian cancer than in women with either healthy ovaries or benign ovarian tumors [8, 19, 20]. Thus we hoped to identify the role of WFCD2 in the malignancy and metastasis of ovarian cancer. In the present study, we analyzed the expression of WFCD2 in ovarian cancer cell lines HO8910 and HO8910PM. The latter is derived from HO8910 and is considered to have more potency in invasion and metastasis than its parent HO8910 cell lines. We observed a higher expression of WFCD2 in both the RNA and protein level in HO8910PM cells than that in HO8910 cells. These data indicate that WFCD2 may be a tumor-specific gene involved in the malignancy and metastasis of ovarian cancer. A comparable correlation between WFCD2 expression and the malignant behavior of ovarian carcinoma cells has also been established.

Our results shows that the high expression of WFCD2 is ovarian cancer tissues of all FIGO stages, and positively correlated to lymph node metastasis (p < 0.05) and implanted metastasis (p < 0.05), which indicates that high expression of WFCD2 may relate to the progression of ovarian cancer. Hence, WFCD2 may be a potential biomarker of clinical staging and may possibly be a biomarker for prognosis assessment. However, the application value of clinical examination still needs further evaluation.

After knockdown of WFCD2 expression, the invasion and migration rate was significantly lower in the WFCD2 cells compared to the blank control both in HO8910 and SKOV3 cells. The decreased malignancy of these ovarian cancer cells was confirmed to be associated with the lower levels of WFCD2. This suggests that WFCD2 accelerates the migration and invasion of ovarian cancer cells, as expected.

Unlike most solid tumors, ovarian cancer spreads mainly via implantation within the peritoneal cavity, and hematogenous metastasis is seldom observed [18, 2123]. The invasive and migratory capacity of ovarian cancer cells plays a key role in the metastasis process. To determine if the changes observed in vitro as a result of WFCD2 knockdown are reproducible in vivo, we established an ovarian cancer xenograft model. This in vivo study using WFCD2 gene-knockdown ovarian cancer cell HO8910–209 showed that WFCD2 knockdown suppressed both ovarian tumor growth and peritoneal dissemination. The type of destination organs, the number of metastases, and the amount of nodules in HO8910–209 groups were significantly lower than in the control groups. These results are consistent with the results in vitro, and confirm that WFCD2 knockdown inhibits cell migration and invasion, thereby inhibiting the malignancy and metastasis of ovarian cancer.

Many factors can affect the tumour metastasis. Our previous study indicated that knockdown of WFCD2 induced cell apoptosis and depressed cell proliferation [6]. In this study, several biochemical markers used to characterize metastases had been evaluated by immunohistochemical methods to further elucidate the role of WFCD2 in tumorigenicity in vivo. In these biochemical markers, such as ICAM-1, VCAM-1, CD44, MMP2, MMP9, we observed that the expression of CD44, MMP2 and ICAM-1 was significantly reduced in WFCD2 knockout tumor cells, which might explain WFCD2 knockdown reduced the mobility of tumor cells both in vitro and in vivo (Results are schematically summarized in Fig. 5f). ICAM-1 is an important cell-adhesion molecule directly linked to ovarian tumor growth, metastasis and chemo-resistance [24]. CD44 is a receptor for hyaluronic acid,up-regulation of CD44 represents a crucial event in the development of metastasis, recurrence, and drug resistance to current treatments in ovarian cancer. MMP-2 (along with MMP-9) is capable of degrading type IV collagen, the most abundant component of the basement membrane. The interaction of MMP2 and CD44 is an important factor in selectively regulating the tumor microenvironment to promote tumor cell metastasis and is considered to be an inducer of EMT [22, 25, 26]. To be interesting, Hokins etl had also reported that paracrine SLPI secretion upregulated MMP2 and MMP9 transcription and secretion in some cancer cells [24, 25]. All this suggests a role for WFCD2 in rebuilding the tumor microenvironment by regulating the expression of MMP2 and CD44. As both CD44 and MMP2 are inducer of epithelial-mesenchymal-transition (EMT),which strengthens our confidence that WFCD2 might participate in tumor metastasis and disease processes by regulating the progression of EMT in ovarian cancer cells. However, the role of WFCD2 as a regulator in EMT is still required further evaluation.

Conclusion

In summary, we show that WFCD2, which is up-regulated in ovarian cancer, can now for the first time be considered a regulator of tumor metastasis. These results provide fresh impetus for further exploration into metastasis in ovarian cancer. We propose WFCD2 as a potential therapeutic target and prognostic marker for ovarian cancer and believe that uncovering these processes will provide key information that extends our understanding of the occurrence and development of ovarian cancer and its treatment.

Abbreviations

CD44: 

Cluster of Differentiation 44

EMT: 

Epithelial mesenchymal transition

ICAM-1: 

Intercellular adhesion molecule

IHC: 

Immunohistochemistry

MMP2: 

Matrix metalloproteinase-2

MMP9: 

Matrix metalloproteinase-9

NC: 

Negative control

qPCR: 

Quantitative real-time PCR

VCAM-1: 

Vascular cell adhesion molecule 1

WFDC2

WAP four-disulfide core domain 2

Declarations

Acknowledgments

This work was supported by grants from the National High Technology Research and Development Program of China (863 Program) (No. 2012AA020205). This work was also supported by Guangzhou major collaborative innovation research projects (201508020052).

Availability of data and material

Not applicable.

Authors’ contributions

Conceived and designed the experiments: YC LTC SHW YSW JLL ML. Performed the experiments: YC SHW LTC. Analyzed the data: YC YSW JLL ML. Contributed reagents/materials/analysis tools: YC LTC SHW. Wrote the paper: YC YSW JLL ML. All authors read and approved the final manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

All authors declare that no conflict of interest exits in the submission of this manuscript, and that the manuscript has been approved by all authors for publication.

Ethics approval and consent to participate

All mouse studies were approved by the Animal Ethics Committee of the Southern Medical University (Permit Number 20060015). All work was undertaken and that it conforms to the provisions of the declaration of Helsinki (as revised in Fortaleza, Brazil, October 2013).

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Authors’ Affiliations

(1)
School of Laboratory Medicine and Biotechnology, Southern Medical University
(2)
State Key Laboratory of Organ Failure, Guangdong Provincial Key Laboratory of Tropical Disease Research, Southern Medical University
(3)
Obstetrics and Gynecology Center, Nanfang Hospital
(4)
Institute of Antibody Engineering, Southern Medical University
(5)
Department of Oncology, Molecular Oncology Laboratories, Weatherall Institute of Molecular Medicine, University of Oxford

References

  1. Hertlein L, Stieber P, Kirschenhofer A, Krocker K, Nagel D, Lenhard M, et al. Human epididymis protein 4 (HE4) in benign and malignant diseases. Clin Chem Lab Med. 2012;50(12):2181–8.View ArticlePubMedGoogle Scholar
  2. Cheng JD, Dunbrack RL Jr, Valianou M, Rogatko A, Alpaugh RK, Weiner LM. Promotion of tumor growth by murine fibroblast activation protein, a serine protease, in an animal model. Cancer Res. 2002;62(16):4767–72.PubMedGoogle Scholar
  3. Wei H, Hellstrom KE, Hellstrom I. Elafin selectively regulates the sensitivity of ovarian cancer cells to genotoxic drug-induced apoptosis. Gynecol Oncol. 2012;125(3):727–33.View ArticlePubMedPubMed CentralGoogle Scholar
  4. Westin U, Nystrom M, Ljungcrantz I, Eriksson B, Ohlsson K. The presence of elafin, SLPI, IL1-RA and STNFalpha RI in head and neck squamous cell carcinomas and their relation to the degree of tumour differentiation. Mediat Inflamm. 2002;11(1):7–12.View ArticleGoogle Scholar
  5. Wang R-F, Zhang L-H, Shan L-H, Sun W-G, Chai C-C, Wu H-M, et al. Effects of the fibroblast activation protein on the invasion and migration of gastric cancer. Exp Mol Pathol. 2013;95(3):350–6.View ArticlePubMedGoogle Scholar
  6. Chen Y, Mu X, Wang S, Zhao L, Wu Y, Li J, et al. WAP four-disulfide core domain protein 2 mediates the proliferation of human ovarian cancer cells through the regulation of growth- and apoptosis-associated genes. Oncol Rep. 2013;29(1):288–96.PubMedGoogle Scholar
  7. Moore RG, Hill EK, Horan T, Yano N, Kim K, MacLaughlan S, et al. HE4 (WFDC2) gene overexpression promotes ovarian tumor growth. Sci Reports. 2014;4:3574.View ArticleGoogle Scholar
  8. Angioli R, Plotti F, Capriglione S, Montera R, Damiani P, Ricciardi R, et al. The role of novel biomarker HE4 in endometrial cancer: a case control prospective study. Tumour Biol. 2013;34(1):571–6.View ArticlePubMedGoogle Scholar
  9. Bouchard D, Morisset D, Bourbonnais Y, Tremblay GM. Proteins with whey-acidic-protein motifs and cancer. Lancet Oncol. 2006;7(2):167–74.View ArticlePubMedGoogle Scholar
  10. Henriksen PA, Hitt M, Xing Z, Wang J, Haslett C, Riemersma RA, et al. Adenoviral gene delivery of elafin and secretory leukocyte protease inhibitor attenuates NF-kappa B-dependent inflammatory responses of human endothelial cells and macrophages to atherogenic stimuli. J Immunol (Baltimore, Md : 1950). 2004;172(7):4535–44.View ArticleGoogle Scholar
  11. Scott A, Weldon S, Taggart CC. SLPI and elafin: multifunctional antiproteases of the WFDC family. Biochem Soc Trans. 2011;39(5):1437–40.View ArticlePubMedGoogle Scholar
  12. Devoogdt N, Hassanzadeh Ghassabeh G, Zhang J, Brys L, De Baetselier P, Revets H. Secretory leukocyte protease inhibitor promotes the tumorigenic and metastatic potential of cancer cells. Proc Natl Acad Sci U S A. 2003;100(10):5778–82. doi:10.1073/pnas.1037154100.View ArticlePubMedPubMed CentralGoogle Scholar
  13. Zhang D, Simmen RCM, Michel FJ, Zhao G, Vale-Cruz D, Simmen FA. Secretory leukocyte protease inhibitor mediates proliferation of human endometrial epithelial cells by positive and negative regulation of growth-associated genes. J Biol Chem. 2002;277(33):29999–30009.View ArticlePubMedGoogle Scholar
  14. Nukiwa T, Suzuki T, Fukuhara T, Kikuchi T. Secretory leukocyte peptidase inhibitor and lung cancer. Cancer Sci. 2008;99(5):849–55.View ArticlePubMedGoogle Scholar
  15. Caruso JA, Hunt KK, Keyomarsi K. The neutrophil elastase inhibitor elafin triggers rb-mediated growth arrest and caspase-dependent apoptosis in breast cancer. Cancer Res. 2010;70(18):7125–36. doi:10.1158/0008-5472.CAN-10-1547.View ArticlePubMedPubMed CentralGoogle Scholar
  16. Jalkanen J, Kotimaki M, Huhtaniemi I, Poutanen M. Novel epididymal protease inhibitors with Kazal or WAP family domain. Biochem Biophys Res Commun. 2006;349(1):245–54.View ArticlePubMedGoogle Scholar
  17. Zhou LYX, Wang Y, Zhang YT, Geng YP, Si LS, Wang YL. Identification of metastasis-associated proteins of ovarian cancer by proteomics. Zhonghua Bing Li Xue Za Zhi. 2007;36(12):814–8.PubMedGoogle Scholar
  18. Noel A, Albert V, Bajou K, Bisson C, Devy L, Frankenne F, et al. New functions of stromal proteases and their inhibitors in tumor progression. Surg Oncol Clin N Am. 2001;10(2):417–32. x-xi.PubMedGoogle Scholar
  19. Manolov V, Marinov B, Vasilev V, Andreeva A. HE4--a new tumor marker for ovarian cancer. Akusherstvo i ginekologiia. 2011;50(Suppl 2):11–5.PubMedGoogle Scholar
  20. Zou SL, Chang XH, Ye X, Cheng HY, Cheng YX, Tang ZJ, et al. Effect of human epididymis protein 4 gene silencing on the malignant phenotype in ovarian cancer. Chin Med J. 2011;124(19):3133–40.PubMedGoogle Scholar
  21. Naora HMD. Ovarian cancer metastasis: integrating insights from disparate model organisms. Nat Rev Cancer. 2005;5(5):355–66.View ArticlePubMedGoogle Scholar
  22. Shao MHCL, Shen CY, Satpathy M, Chelladurai B, Bigsby RM, Nakshatri H, Matei D. Epithelial-to-Mesenchymal transition and ovarian tumor progression induced by tissue transglutaminase. Cancer Res. 2009;69(24):9192–201.View ArticlePubMedGoogle Scholar
  23. Tan DSPAR, Kaye SB. Mechanisms of transcoelomic metastasis in ovarian cancer. Lancet Oncol. 2006;7(11):925–34.View ArticlePubMedGoogle Scholar
  24. Hoskins E, Rodriguez-Canales J, Hewitt SM, Elmasri W, Han J, Han S, et al. Paracrine SLPI secretion upregulates MMP-9 transcription and secretion in ovarian cancer cells. Gynecol Oncol. 2011;122(3):656–62.View ArticlePubMedPubMed CentralGoogle Scholar
  25. Sakata K, Shigemasa K, Nagai N, Ohama K. Expression of matrix metalloproteinases (MMP-2, MMP-9, MT1-MMP) and their inhibitors (TIMP-1, TIMP-2) in common epithelial tumors of the ovary. Int J Oncol. 2000;17(4):673–81.PubMedGoogle Scholar
  26. Choi B-D, Jeong S-J, Wang G, Park J-J, Lim D-S, Kim B-H, et al. Secretory leukocyte protease inhibitor is associated with MMP-2 and MMP-9 to promote migration and invasion in SNU638 gastric cancer cells. Int J Mol Med. 2011;28(4):527–34.PubMedGoogle Scholar

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