Introduction
Epithelial Ovarian Cancer (EOC) is the most common type of ovarian cancer affecting women worldwide. Previous studies have shown that about 75% of patients are diagnosed at the late stage of the disease (
Hennessy et al. 2009;
Siegel et al. 2011). EOC is classified into five major subtypes: serous, endometrioid, mucinous, clear cell and transitional cell carcinomas (Brenner tumors) (
Auersperg et al. 2001;
Chauhan et al. 2009;
Davidson et al. 2012;
Soslow 2008;
Vergara et al. 2010). These tumors are related to epithelial fallopian tube, proliferative endometrioid, endocervical or intestinal, gestational endometrioid and the urogenital tract, respectively (
Chauhan et al. 2009;
Karst and Drapkin 2010). Each of these subtypes has different prognosis as well as treatment responses (
Auersperg et al. 2001) due to their different genetic, phenotypic and physiological features (
Davidson et al. 2012). The serous subtype of ovarian carcinoma accounts for about 60–80% of ovarian cancer cases and it is considered the most aggressive subtype of ovarian neoplasms. High Grade Serous Ovarian Cancers (HGSOC) arise in the absence of recognizable pre-existing conditions unlike the low-grade adenocarcinomas of the ovary, specifically endometrioid and mucinous tumors which normally follow the transformation sequence from adenoma to carcinoma (
Levanon et al. 2008).
EOCs were initially thought to arise from the Ovarian Surface Epithelium (OSE); therefore, studies previously focused on identifying closely related biomarkers expressed specifically by epithelial cells, such as mucins (
Auersperg et al. 2001;
Chauhan et al. 2006). Mucins are proteins found to be highly expressed in EOCs and their glycosylated extracellular domain, which may overhang up to 200-2000 nm above the cell surface, has been associated with the dissemination and invasion of ovarian cancer cells. Recently, it has been shown that glycoprofiling of mucin 16 (MUC16), also known as CA125, improves the differential diagnosis of ovarian cancer (
Chauhan et al. 2009;
Chen et al. 2013). However, although CA125 was previously identified as an ovarian cancer diagnostic biomarker, it may not have the sensitivity or specificity to function alone in EOC screening (
Cannistra 2004). Regardless of its role in ovarian cancer, CA125 does not exhibit an elevated serum level in over 50% of patients diagnosed with early stage tumors because this antigen is not expressed in most early stage ovarian tumors (
Jacobs et al. 1993). More recently though, in a clinical trial on advanced ovarian cancer patients it was shown that CA125 is useful as a predictor of recurrence in advanced ovarian cancer, with a sensitivity of 91.5% (
Song et al. 2013).
Besides mucins, other molecular biomarkers are still needed to aid in the design of appropriate, patient-specific therapy. In addition to ovarian surface epithelium, it is now apparent that EOC can also derive from the fallopian tube, potentially changing the criteria used to identify EOC. Thus, the genes and/or proteins detected in cells from EOC might not be relevant markers for disease progression but rather their expression may reflect retention from the cell of origin (
O’Shannessy et al. 2013). This is especially important given that the molecular makeup of tumor cells changes dynamically during progression through the process of Epithelial-to-Mesenchymal Transition (EMT) and its reverse process, Mesenchymal-to-Epithelial Transition (MET). It has been shown that EMT in ovarian cancer is controlled by different cytokines and growth factors, such as mucin (MUC4) and CA125 (
Ponnusamy et al. 2010;
Theriault et al. 2011), bone morphogenetic protein 4 (BMP4), endothelin-1 (ET-1), epidermal growth factor (EGF), hepatocyte growth factor (HGF) and transforming growth factor-β (TGF-β) (
Vergara et al. 2010). More recently in an in vitro study, thrombin induced the expression of EMT proteins in EOC cells (Skov-3), which could be reversed with the use of inhibitors against thrombin (hirudin); this indicates that the use of anticoagulants might serve in the control of EOC progression (
Zhong et al. 2013).
Neuropilins (NRPs) are a transmembrane glycoprotein family of non-tyrosine kinase receptors ranging from 130 to 140 kDa (
Ellis 2006;
Hu et al. 2007;
Lu et al. 2009;
Yu et al. 2010). They have a large extracellular region comprising three main domains (a1a2, b1b2 and c (MAM)), a transmembrane domain, and a short, intracellular (cytoplasmic) domain that lacks any enzymatic activity (
Ellis 2006;
Herzog et al. 2011;
Lu et al. 2009). NRPs are expressed in neurons, endothelial cells, mesothelial cells, bone marrow cells and cancer cells (
Kreuter et al. 2006;
Stoeck et al. 2006). NRP-1 acts as a receptor for semaphorin 3A (SEMA), SEMA 3F, vascular endothelial growth factor (VEGF) members, including VEGF-A
165, VEGF-B and VEGF-E, and it binds to latent and active TGF-β1 (
Glinka et al. 2011;
Smart et al. 2013;
Yu et al. 2010). There are many studies confirming the correlation between increased NRP-1 expression and the induction of malignancy in different cancer types, such as breast (
Stephenson et al. 2002), colorectal (
Yu et al. 2010), myeloid leukemia (
Kreuter et al. 2006), glioma (
Hu et al. 2007), pancreatic (
Wey et al. 2005), and prostate (
Hu et al. 2007) cancers, and its silencing in hepatocellular carcinoma led to cellular growth suppression in vitro and in vivo (
Xu and Xia 2013). NRP-1 has also been reported to promote unlimited growth in ovarian cancer through evasion of contact inhibition (
Wong et al. 1999).
Osada et al. (2006) reported that ovarian carcinomas are characterized by a decrease in semaphorin expression and an increase in NRP-1 and NRP-2 expression. The same study showed that the expression of NRP-1 and NRP-2 was significantly higher in ovarian carcinomas when compared with benign ovarian tumors.
NRP-1 is a multifunctional protein existing in two forms: soluble and transmembrane receptors (
Lu et al. 2009;
Uniewicz et al. 2011). NRP-1 plays a critical role in tumorigenesis, cancer invasion, and angiogenesis through VEGF, PI3K, and Akt pathways (
Hong et al. 2007;
Pan et al. 2007). NRP-1 facilitates a heterotypic association between cancer cells and (myo)-fibroblasts via N-cadherin through its binding to L1 Cellular Adhesion Molecule (L1-CAM) in ovarian cancer (
Bracke 2007). The use of an anti-L1-CAM monoclonal antibody inhibited peritoneal growth and the dissemination of human ovarian carcinoma cells in vitro and in nude mice (
Arlt et al. 2006). This latter study confirmed the association of NRP-1 with an important marker of EMT, N-cadherin. It has been shown that L1-CAM was up-regulated in breast cancer cells when EMT was induced by TGF-β (
Kiefel et al. 2012).
Recently, in randomized phase III clinical trials, investigators found that circulating VEGF-A and tumor NRP-1 expression can be used as potential predictive biomarkers for the decision as to whether to use bevacizumab (anti-VEGF antibody) or not in the treatment plan of patients with breast, colorectal, and gastric cancers (
Lambrechts et al. 2013;
Maru et al. 2013). For instance, in patients with metastatic breast cancer, low NRP-1 expression represents one of the most consistent and promising predictive biomarker identified thus far (
Jubb et al. 2011).
In a previous study, we showed that the ratio of NRP-1 to VEGFR2 expression increases proportionally with tumor grade in 80 cases of EOC (
Adham et al. 2010). The mechanism by which NRP-1 influences tumorigenesis is still not well defined. Here, we hypothesized that NRP-1 might be involved in the EMT pathway in EOC, which is important for tumor metastasis and progression (
Davidson et al. 2012). We found that NRP-1 was only expressed in the epithelial (cancer cell) component of all of the tumors tested. Vimentin was also expressed in the cancer cell component of 43% of tumors besides its usual localization in the stroma. NRP-1 expression (as represented by the Immunoreactive Score, IRS) was positively correlated with Slug and E-cadherin expression. Mucinous cystadenocarcinoma possessed differences in the tissue and cellular localization of vimentin and NRP-1, respectively, when compared with the other two EOC subtypes. These in situ observations pave the way for more functional analyses to investigate the use of NRP-1 as a potential biomarker for EOC. Further evaluation linking cancer characteristics with patient outcome data will give stronger evidence about this correlation.
Materials & Methods
Tissue Microarrays (TMAs) and Tissue Inclusion Criteria
Human ovarian tissue arrays were used for immunohistochemical staining (Cat# OVC1501; Pantomics, Richmond, CA). These arrays contained tissues fixed in 10% formalin (pH 7.0) for 24 hr and were processed with identical standard operating procedures. Each tissue array had 150 cores collected from 75 individuals, with two cores representing one tumor tissue or biopsy from the same patient. Among the 75 cases there were 2 normal, 3 benign (mucinous, serous cystadenoma and thecoma) and 73 EOC cases, each provided with pathological, grading and staging data (Supplemental Table S1). The regions of each block chosen for inclusion in the TMA were reviewed by at least three pathologists who examined the H&E-stained slides. The main inclusion criteria were to select a region of the tissue that provided sufficient and representative target cells, and this region was marked on the slides. The marked areas were then transferred to corresponding re-marked blocks (formalin-fixed paraffin-embedded blocks) by a pathologist. To ensure the representative nature of a case, duplicated cores per case for most of the TMAs were taken randomly from two marked areas of a block or from two blocks of the same case (normally multiple areas containing representative target cells were marked on a block by a pathologist). After a TMA block was made, a section was cut and stained with H&E. Each core of the stained TMA slide was examined by a pathologist.
Patient Specimens and Ethics Statement
Clinical samples, consisting of five normal, four benign (two mucinous and two serous cystadenoma) and four neoplasia (two mucinous and two serous cystadenocarcinoma), were collected from the pathology archives at Sultan Qaboos University Hospital SQUH Oman, and the paraffin blocks were cut into 4-µm-thick sections for immunohistochemistry (described below). Patients routinely provide their full consent for the donation of the tissue prior to any surgical procedure and their information is kept confidential and used for research purposes only.
Immunohistochemistry
TMA slides and patient individual ovary sections were deparaffinized in xylene, rehydrated in a series of ethanol (100%, 95% and 75%) followed by tap water, and then subjected to antigen retrieval using 1 mM EDTA (pH 9.0), in 95C water bath for 30–40 min. The activity of endogenous peroxidases was blocked by 2% hydrogen peroxide for 15 min. The slides were washed twice in phosphate-buffered saline (PBS), followed by PBS containing 0.05% Triton X-100, for 5 min each wash. The slides were then incubated with a blocking solution of 5% normal goat serum for 30 min at room temperature, then incubated overnight at 4C with appropriate primary antibody solutions containing one of the following monoclonal antibodies: Neuropilin-1, 1:250; vimentin, 1:250; and N-cadherin, 1:500 (Epitomics Inc.; Burlingame, CA; cat # 2621-1, 2707-1 and 2019-1, respectively). E-cadherin and Slug antibodies were used at 1:200 and were purchased from Cell Signaling Technologies (Beverly, MA) (cat #3195 and #9585, respectively). All other chemicals used were purchased from Sigma Aldrich (Munich, Germany).
After incubation with the primary antibodies, the tissues were washed twice in PBS and incubated with biotinylated secondary goat anti-rabbit antibody (1:100; Vector Laboratories; Switzerland). The signal was enhanced by one-step incubation with Vectastain Elite ABC reagent (Vector Laboratories) for 30 min at room temperature. Colorimetric detection was achieved by incubation with 3,3’-diaminobenzidine (DAB) (Dako; Warrington, PA) for 5 min. This was followed by counterstaining with Mayer’s hematoxylin solution, which was added for approximately 1–2 min. The tissues were dehydrated in a series of ethanol (75%, 95% and 100%) and then immersed into xylene. Finally, the slides were mounted using DPX (Di-n-butyl phthalate in Xylene) (Sigma- Aldrich). Tissues were visualized using an Olympus (BX 40; Olympus Optical Co. Ltd; Tokyo, Japan) light microscopy with digital camera (DP50). The images of cores were captured by 40× using OLYSIA Bio-report and Twin Viewfinder Light (Version 1.0) software (Olympus). A negative primary antibody control slide was stained simultaneously to confirm staining specificity (Supplementary Fig. S1).
Immunohistochemical Reactivity Evaluation and Scoring Categories
Microscopic examination was performed independently in a blinded fashion by two scientists and one pathologist, and the average score was considered for the final analysis. The total 150 cores in the TMA obtained from 75 patient specimens (2 cores per specimen) and another 13 representative patient ovarian tissue sections (5 normal, 4 benign, and 4 malignant) were studied and analyzed for each biomarker. Each specimen was visualized individually under the light microscope (400×) and assigned to an appropriate category. Finally, the scores of each case (2 cores) were combined and given a specific code for statistical analysis. The staining intensity (SI) for the expression of epithelial proteins—E- Cadherin, NRP-1 and Slug—was graded based on DAB staining intensity. The grading system used was: absence of staining (negative), 0; weak staining, 1; moderate staining, 2; strong staining, 3. The score for the distribution of the positively stained cells (percentage of positive cells, PP) was based on the average score observed in ten random fields at 400× (five fields from each TMA duplicated cores). Based on the cell staining proportion, all cases were classified as 0, no positive cells; 1, 1–20% positive cells; 2, 21–50% positive cells; 3, 51–100% positive cells. The IRS value was calculated according to a previously published method, as follows: IRS = SI × PP (
Chui et al. 1996); the mean IRS for each marker (NRP-1, Slug, E-cadherin) for each case was calculated as the final value used for statistical analysis.
Because N-cadherin and vimentin expression (intensity and distribution) was homogenous in all TMA studied, these two proteins were categorized based on tissue localization: group 1, mainly stromal; group 2, mainly epithelial; group 3, both epithelial and stromal. In addition to the IRS score, Slug was also grouped for its tissue location (0, negative staining; 1, epithelial staining; 2, stromal staining) and for its cellular localization (0, negative staining; 1, nuclear staining; 2, cytoplasmic staining). Similarly, NRP-1 was expressed in both the cytoplasm and nucleus; this localization was categorized as: 1, nuclear staining; 2, cytoplasmic staining; 3, nuclear and cytoplasmic staining.
Statistical Analysis
Statistical differences between tested variables were determined by Pearson Chi-Square and Fisher’s Exact Test (two-sided). The Spearman’s rank correlation was used to determine whether there was a positive or negative correlation between variables. Post hoc tests were used to analyze the multiple comparisons of the measured IRS values with grade, stage and pathology. To account for multiple testing, we used Bonferroni correction tests, considering α of 0.05; the Bonferroni’s adjustment p value was 0.0071. This p value was used as a cut-off point for significance. SPSS for Windows (v19.0; Chicago, IL) was used to analyze the data.
Discussion
Histopathological examination is the first method used in the diagnosis and differentiation of EOC heterogeneous tumors and in the separation of closely related cases (
Ichigo et al. 2012). EOC tumors are generally classified into histological subgroups depending on their aggressive behavior and their malignant potential (
D’Andrilli et al. 2008;
Lalwani et al. 2011). EOC classification becomes of interest during the planning of treatment and management as studies show that the different subtypes respond differently to treatment regimens (
Bamias et al. 2010). Further investigations into new predictive biomarkers that can identify subpopulations of patients who are most likely to respond to a given therapy should aid in EOC disease control.
In this study, we found that NRP-1 might be a potential marker that is related to the EMT pathway. NRP-1 was not detected in normal ovary tissue samples; however, it was detected in the benign tissue specimens. This finding is fully consistent with the previous study by
Hall et al. (2005) and partially consistent with the study reported by
Baba et al. (2007). Baba’s group showed that NRP-1 was neither expressed in the normal ovary surface epithelia nor in the benign cases. Yet, in this study, we showed that the cellular localization of NRP-1 was significantly different among the three subtypes of EOC. The nuclear localization of NRP-1 was more prevalent in mucinous cystadenocarcinoma tumors than in endometrioid adenocarcinoma or serous cystadenocarcinoma. The mucinous cystadenocarcinomas in our study did not express vimentin in the epithelial components of the tumors, Slug was less expressed in the epithelium when compared with the other two subtypes, and none of the samples expressed cytoplasmic NRP-1.
Generally, the stromal expression of vimentin in the three pathologies is due to its role as a mesenchymal-derived intermediate filament (
Satelli and Li 2011). The epithelial expression of vimentin in serous and endometrioid carcinomas can be interpreted by the tendency of some carcinoma cells to undergo EMT. These events lead to an increased mitotic activity of cancer cells and induce their invasion and metastasis (
Vergara et al. 2010). Vimentin expression was detected in all tumors studied; however, mucinous cystadenocarcinoma tumors did not show any detectable epithelial vimentin expression. Serous cystadenocarcinoma and endometrioid adenocarcinoma tumors expressed vimentin on both stroma and epithelia tissue sites. This latter result agrees with a previous study that found vimentin co-expression with cytokeratin to be more prevalent in serous and endometrioid tumors, whereas only 1 of 29 mucinous tumors exhibited vimentin expression (
Viale et al. 1988). However, in that study, the authors did not indicate whether vimentin expression in this single tumor was in the stromal or epithelial part of the tissue (
Viale et al. 1988).
The expression of vimentin in the epithelium of the studied normal tissues is consistent with that of a previous report by
Auersperg et al. (2001), wherein the authors showed expression of the mesenchymal marker vimentin in Ovarian Surface Epithelium (OSE) of normal tissues. These cells are considered a mesothelial type of epithelial cell because they share a common embryological origin with the peritoneum and have characteristics in common with peritoneal mesothelial cells (
Ahmed et al. 2007;
Auersperg et al. 2001;
Sundfeldt 2003).
The mucinous cystadenocarcinoma tumors studied exhibited a spatial pattern in their expression of the different EMT markers, which might be related to their response to treatments. For instance, mucinous adenocarcinoma are considered to be refractory cancers that are biologically distinct from serous adenocarcinoma, and some studies suggest that mucinous tumors present a poorer outcome from platinum-based first-line chemotherapy when compared to non-mucinous epithelial ovarian cancers (
Bamias et al. 2010;
Sugiyama et al. 2009).
In this present study we showed that N-cadherin expression was significantly related to tumor stages. A cadherin switch is a main hallmark for the EMT process (
Vergara et al. 2010). Most EMT-related studies in ovarian cancer, including EOC, confirmed that both E-cadherin down-regulation and N-cadherin up-regulation are responsible for inducing the EMT process (
Cheng et al. 2012;
Theriault et al. 2011). However, N-cadherin expression rather than E-cadherin down-regulation might be more important in metastasis and invasion (
Nakajima et al. 2004;
Nieman et al. 1999). Indeed, during ovarian tumor progression, the expressions of E-cadherin and N-cadherin were found to follow two different routes. When N-cadherin expression is high in the primary tumors, it is retained in the poorly differentiated metastatic tumors whereas E-cadherin expression is lost. The other route is when the metastatic tumors stain strongly for both cadherins (
Hudson et al. 2008). The actual role of both cadherins in inducing the EMT process in EOC requires further investigation to determine their association with other signaling molecules within the EMT pathway.
The exclusive nuclear localization of NRP-1 in the mucinous tumors is interesting and opens the doors to investigate its role as a transcriptional regulator. Many studies have demonstrated that VEGFR2, the main receptor to which NRP-1 binds, translocates to the nucleus in different tumor cells (
Blazquez et al. 2006;
Fox et al. 2004;
Zhang et al. 2005). It has been reported that VEGFR2 can auto-regulate its own transcription upon binding with VEGF (
Domingues et al. 2011). VEGF, the ligand for both VEGFR2 and NRP-1, is the major regulator of VEGFR2 auto-regulation, and Sp1, which is a well-known regulator of NRP-1 expression, was also found to be associated with VEGFR-2 in regulating its own promoter (
Domingues et al. 2011). Therefore, nuclear NRP-1 might act similarly in regulating its own transcription in the mucinous carcinomas studied.
In the current study, NRP-1 was not significantly related to tumor grade (
p=0.051) (Supplemental Table S2), a finding that is inconsistent with our previous study (
Adham et al. 2010). This controversial difference might be due to the different approach in data analysis used in the two studies. For example, in our previous study, the cases on the TMAs were not duplicated and we did not perform a multivariate statistical analysis, as we only evaluated the staining intensity. To date, there are no reports indicating that NRP-1 can be a partner in the EMT process of EOC tumors, but NRP-1 was recently reported to drive EMT in High Gleason grade prostate carcinomas by promoting Snail1 nuclear localization (
Mak et al. 2010). According to the Spearman’s coefficient values obtained in our study, we found that three markers were positively correlated. The rho value between Slug and NRP-1 (ρ=0.602) is very similar to that between NRP-1 and E-cadherin (ρ=0.608) and the rho value between Slug and E-cadherin is also highly positive (ρ=0.861). This similarity might indicate that Slug is a transcriptional repressor for E-cadherin, and possibly can control the expression of NRP-1 in a similar way. In agreement with this, Sp1, which regulates NRP-1 transcription, has been shown to share a binding site in the promoter of both Slug (
Choi et al. 2007) and Snail (
Hu et al. 2010), two strong inducers of the EMT process.
Collectively, our observations indicate that NRP-1 is a candidate molecule that might be responsible for the progression of EOC through its potential involvement in EMT and other aspects of metastasis. Confirming the role of NRP-1 in EOC, EMT and tumorigenicity could establish this molecule as a potential target for cancer therapies and/or diagnosis.