Background
Gastric cancer is one of the most common cancer types in the world, although its incidence has gradually decreased in recent years in many countries [
1]. Invasion and metastasis of cancer cells remains the main cause of gastric cancer-related death [
2]. It is well known that the basement membrane (BM) and extracellular matrix (ECM) play a barrier to prevent tumor cells from invasion and metastasis [
3]. Specific enzymes produced by cancer cells and activated by certain signals, such as matrix metalloproteinases (MMPs) and urokinase-type plasminogen activator (uPA), have been reported to degrade BM and ECM, and are associated with progression of gastric cancer [
4‐
7]. A better knowledge of changes in gene expression during invasion and metastasis may lead to improvements in the treatment of advanced gastric cancer.
Heparan sulfate (HS) and heparin sulfate proteoglycans (HSPGs), the important structural components of ECM and external surface of cell membranes, play a major role in cell-cell and cell-ECM interactions [
8]. Previous reports have shown that heparanase (HPA), an endo-h-D-glucuronidase, has the ability to cleave the heparan sulfate chain of HSPGs, and is one of the key enzymes involved in the invasion and metastasis of malignant tumors [
9]. Under normal physiological conditions, HPA expression is detectable in endothelial cells, smooth muscle cells, cytotrophoblasts, keratinocytes, platelets platelets, neutrophils, and activated T lymphocytes [
10]. However, HPA expression is up-regulated in many tumor cells including esophageal carcinoma, pancreatic carcinoma, melanoma, bladder cancer, and prostate cancer [
11‐
15]. It has been established that a significant correlation of HPA over-expression is coupled with increased metastatic potential and decreased survival rates of cancer [
16]. These studies suggest that HPA is correlative with invasion and metastasis of cancer cells, and served as an important target of cancer therapy.
Previous studies indicate that the expression of HPA was frequently observed in advanced gastric cancers [
17,
18]. The frequency was significantly correlated with histopathological parameters reflecting invasive and metastatic potentials and prognosis of gastric cancers [
17,
18]. Our studies also demonstrated the over-expression of HPA protein in advanced gastric cancer (data not shown). However, it still remains largely unknown whether inhibiting HPA expression can abolish the invasion and metastasis of gastric cancer cells. Due to the non-specific activities of current HPA inhibitors and the great difficulties in identifying efficient inhibitors [
19‐
22], genetic approaches targeting HPA have been regarded as a promising alternative [
23]. RNA interference (RNAi) is a posttranscriptional mechanism of gene silencing through chromatin remodeling, inhibition of protein translation or direct mRNA degradation [
24]. Chemically synthetic small interfering RNA (siRNA) is currently being evaluated not only as an extremely powerful instrument for functional genomic analyses, but also as a potentially useful method to develop highly specific gene-silencing therapeutics [
25]. In this study, we designed HPA-specific siRNAs and evaluated their gene silencing effects in cultured gastric cancer cells. We demonstrated that silencing of HPA expression attenuated the
in vitro invasion, metastasis and angiogenesis capabilities of gastric cancer cells.
Methods
Cell culture
Human gastric cancer cell line SGC-7901 and endothelial cell line HUVEC were purchased from American Type Culture Collection (ATCC) and grown in RPMI1640 medium (Life Technologies, Inc., Gaithersburg, MD) supplemented with 10% fetal bovine serum (FBS, Life Technologies, Inc.), penicillin (100 U/ml) and streptomycin (100 μg/ml). Cells were maintained at 37°C in a humidified atmosphere of 5% CO2.
Heparanase-specific siRNA and transfection
For RNA interference, three 21-nucleotide siRNA duplexes targeting different encoding regions of HPA (GenBank accession No. AF165154) were designed and chemically synthesized (Ribobio Co. Ltd, GuangZhou, China). The secondary structures of target mRNA were predicted by RNAstructure 3.7 software [
26]. The nucleotide sequences were as follows: siH1 (1088-1106 bp), 5'-UUAUGUGGCUGGAUAAAUUtt-3' (sense), and 5'-AAUUUAUCCAGCCACAUAAtt-3' (antisense); siH2 (1267-1285 bp), 5'-GUGCAAGGUUCAAAGAGAAtt-3' (sense), and 5'-UUCUCUUUGAACCUUGCACtt-3' (antisense); siH3 (1496-1514 bp), 5'-CUCUAAAGA UGGUGGAUGAtt-3' (sense), and 5'-UCAUCCACCAUCUUUAGAGtt-3' (antisense). The sequences 5'-AGCAUCGUACGUAGGCCAGtt-3' (sense), and 5'-CUGGCCUACGUACGAUG CUtt-3' (antisense) were used as a scrambled siRNA control (mock). The siRNAs were transfected into culture cells with Genesilencer Transfection Reagent (Genlantis, San Diego, CA), according to the manufacturer's instructions.
Real-time quantitative PCR
Total RNA was isolated with RNeasy Mini Kit (Qiagen Inc., Valencia, CA). The reverse transcription reactions were conducted with Transcriptor First Strand cDNA Synthesis Kit (Roche, Indianapolis, IN). The PCR primers were designed by Premier Primer 5.0 software as the following: for human HPA 5'-GAATGGACGGACTGCTAC-3' and 5'-CCAAAGAATACTTGCC TCA-3' amplifying a 261-bp fragment; for human GAPDH 5'-AGAAGGCTGGGGCTCATT TG-3' and 5'-AGGGGCCATCCACAGTCTTC-3' amplifying a 258-bp fragment. Real-time PCR with SYBR Green PCR Master Mix (Applied Biosystems, Foster City, CA) was performed using ABI Prism 7700 Sequence Detector (Applied Biosystems). The fluorescent signals were collected during extension phase, Ct values of the sample were calculated, and HPA transcript levels were analyzed by 2-ΔΔCt method.
Western blot
Cellular protein was extracted with 1× cell lysis buffer (Promega, Madison, WI). Protein (50 μg) from each sample was subjected to 4-20% pre-cast polyacrylamide gel (Bio-Rad, Hercules, CA) electrophoresis and transferred to nitrocellulose membranes (Bio-Rad). For HPA (InSight Company, Rehovot, Israel) and GAPDH (Santa Cruz Biotechnology, Santa Cruz, CA) detection, the primary antibody dilutions were 1:500 and 1:1000, respectively, followed by 1:3000 dilution of goat anti-rabbit HRP-labeled antibody (Bio-Rad). ECL substrate kit (Amersham, Piscataway, NJ) was used for the chemiluminscent detection of signals with autoradiography film (Amersham).
Measurement of cell viability
Forty-eight hrs post-transfection, cell viability was monitored by the 2-(4, 5-dimethyltriazol-2-yl)-2,5-diphenyl tetrazolium bromide (MTT, Sigma) colorimetric assay. Briefly, 20 μl of MTT (5 mg/ml) was added to each well. After 4 hrs of incubation at 37°C, the cell supernatants were discarded, MTT crystals were dissolved with DMSO and the absorbance measured at 570 nm. Percent viability was defined as the relative absorbance of transfected versus untransfected control cells. All experiments were done with 6-8 wells per experiment and repeated at least three times.
Forty-eight hrs post-transfection, the cells were seeded at a density of 300/ml on 35-mm dishes. Colonies were allowed to grow for 10-14 days. The medium was discarded and each well was washed twice with phosphate buffered saline (PBS) carefully. The cells were fixed in methanol for 15 min, and then stained with crystal violet for 20 min. Finally, positive colony formation (more than 50 cells/colony) was counted. The survival fraction for cells was expressed as the ratio of plating efficiency of transfected cells to that of untransfected control cells.
Cell adhesion assay
Forty-eight hrs post-transfection, 2 × 104 cells were inoculated into each well of 96-well plates that were precoated with 100 μl of 20 μg/ml matrigel (BD Biosciences, Franklin Lakes, NJ), and incubated at 37°C in serum-free complete medium (pH 7.2) for 2 hrs. After incubation, the wells were washed three times with PBS and the remaining cells were fixed in 4% paraformaldehyde for 20 min at room temperature. The cells were stained with 0.1% crystal violet and washed three times with PBS to remove free dye. After extraction with 10% acetic acid, absorbance of the samples was measured at 570 nm. 0%, 20%, 50% and 100% of inoculated cells were directly fixed in 4% paraformaldehyde 2 hrs after inoculation.
Scratch migration assay
SGC-7901 cells were transfected in 24-well plate with siRNAs. Forty-eight hrs post-transfection, the cells were scraped with the fine end of 1-ml pipette tips (time 0). Plates were washed twice with PBS to remove detached cells, and incubated with the complete growth medium. Cell migration into the wounded empty space was followed after 24 hrs and photographed.
Matrigel invasion assay
The Boyden chamber technique (transwell analysis) was performed. Briefly, the 8-μm pore size filters were coated with 100 μl of 1 mg/ml matrigel (dissolved in serum-free RPMI1640 medium). 600 μl of RPMI1640 medium containing 10% FBS was added to the lower chambers. Forty-eight hrs post-transfection, homogeneous single cell suspensions (1 × 10
5 cells/well) were added to the upper chambers and allowed to invade for 24 hrs at 37°C in a CO
2 incubator. Cells remaining attached to the upper surface of the filters were carefully removed with cotton swabs. Migrated cells were stained with 0.1% crystal violet for 10 min at room temperature and examined by light microscopy. Quantification of migrated cells was performed according to published criteria [
27].
Fifty microliters of growth factor-reduced matrigel was polymerized on 96-well plates. HUVECs were serum starved in RPMI1640 medium for 2 hrs. The cells were suspended in RPMI1640 medium preconditioned with siRNA-transfected SGC-7901 cells, added to the matrigel-coated wells at the density of 5 × 104 cells/well, and incubated at 37°C for 18 hrs. Tube formation was visualized using a Leitz inverted microscope equipped with a Sony color digital DXC-S500 camera. Quantification of antiangiogenic activity was calculated by measuring the length of tube walls formed between discrete endothelial cells in each well relative to the control.
Statistical analysis
Unless otherwise stated, all data were shown as mean ± standard error of the mean (SEM). Statistical significance (P < 0.05) was determined by t test or analysis of variance (ANOVA) followed by assessment of differences using SPSS 12.0 software (SPSS Inc., Chicago, IL).
Discussion
Degradation of basement membrane (BM) and extracellular matrix (ECM) comprises an initial and essential step for cancer cells to invade surrounding tissue and metastasize to distant organs [
31]. Both the BM and ECM contain heparan sulfite (HS) and heparan sulfate proteoglycans (HSPGs) as major structural components, which are substrates for heparanase (HPA) [
9]. Human HPA gene is located on chromosome 4q21.3, and its cDNA contains an open reading frame of 1629-bp that encodes for a 61.2 kDa polypeptide of 543 amino acids [
32‐
34]. Preferential expression of HPA mRNA and protein in tumors is evident in tissue specimens derived from oral squamous cell carcinoma [
35], hepatocellular carcinoma [
36], and carcinomas of prostate [
15], bladder [
14], and pancreas [
37]. It has been reported that HPA correlated with the metastatic potential of mouse B16 melanoma and Eb lymphoma cells [
38]. Subcutaneous inoculation of non-metastatic Eb lymphoma cells engineered to over-express HPA resulted in a significant decease in survival time of the mice due to a massive liver infiltration [
32]. These findings support the correlation between HPA expression and the metastatic capacity of cancer cells.
Since HPA plays an important role in the invasion and metastasis of cancer cells, many studies focus on the development of HPA inhibitors [
23]. With the availability of recombinant HPA and the establishment of high-throughput screening methods, a variety of inhibitory molecules have been developed, including neutralizing antibodies, peptides, small molecules, modified non-anticoagulant species of heparin [
23], as well as several other polyanionic molecules, such as laminaran sulfate, suramin and PI-88 [
20,
39,
40]. These inhibitors that decrease HPA expression in cancer cells significantly reduce their metastatic properties, signifying the importance of HPA in cancer cell spread [
20,
23,
39,
40]. However, because of the multiple biologic activities of these compounds, the mechanism of their antitumor activity and its relation to HPA inhibition are not straightforward. Moreover, the pleiotropic interactions of these compounds with the ECM and the cell surface might produce nonspecific and undesirable effects [
20,
23,
39,
40]. Thus, novel approaches are needed to inhibit the role of HPA in cancer progression [
23].
Recent report indicated that short hairpin RNA (shRNA) targeting mouse HPA reduced the metastatic potential of B16-BL6 mouse melanoma cells [
38]. Mice inoculated with Eb lymphoma cells transfected with anti-HPA ribozyme exhibited a marked decrease in liver metastasis and survived significantly longer [
38]. Current selection of efficient siRNAs relies mainly on the analysis of sequence elements that mediate efficient incorporation into the RNA-induced silencing complex (RISC) [
41,
42]. However, several studies have suggested the importance of target secondary structure and accessibility based on computational modeling of target structure [
43‐
45]. In this study, we designed three siRNAs targeting the HPA, named as siH1, siH2 and siH3, according to the guidelines for siRNA design [
46,
47]. It is well established that once siRNAs are transfected into cells, the guide (antisense) strand of siRNA duplex is incorporated into the RISC, which identifies target mRNA that is complementary to the guide stranded [
41,
42]. An endoribonuclease then cleaves target mRNA, resulting in knock-down of gene expression [
41,
42]. We found that siH3 was most potent in suppressing the HPA expression in gastric cancer cells even through its predicted secondary structure of target mRNA was sequestered intentionally in a stable stem structure. These results were consistent with previous findings that large variation in the efficiency of siRNAs for different sites on the same target is commonly observed [
48]. Thus, it is usually recommended to test several siRNAs in order to achieve the most potent one.
The relationship between HPA and cell proliferation is not established yet [
49]. In this study, we found that down-regulation of HPA inhibited the proliferation of SGC-7901 cells
in vitro. In addition, the biologic and therapeutic relevance of the HPA-silencing approach was validated using the cell adhesion assay, scratch migration assay, and matrigel assay. We found that the invasion and metastasis of gastric cancer cells
in vitro were attenuated by HPA-specific siRNA. Apart from its involvement in invasion and metastasis of cancer, HPA is tightly involved in angiogenesis, primarily by means of releasing heparin-binding angiogenic factors sequestered by HS in BM and ECM, such as basic fibroblast growth factor, vascular endothelial growth factor, keratinocyte growth factor and hepatocyte growth factor [
29,
30]. A critical early event in the angiogenic process is degradation of the subendothelial BM, followed by endothelial cell migration toward the angiogenic stimulus [
29,
30]. By releasing HS-bound angiogenic growth factors from the ECM, active HPA may indirectly facilitate EC migration and proliferation [
29,
30]. In this study, we found that the angiogenesis of gastric cancer cells
in vitro was suppressed by HPA-specific siRNA. However, we noted that even after knock-down of HPA, the gastric cancer cells still possessed the capabilities of invasion, metastasis, and angiogenesis. We believe that other factors, such as uPA and MMPs [
4‐
7], also influence these characteristics of gastric cancer, which warrants our further investigation. The data described here indicate the potential application of HPA-specific siRNA in the treatment of gastric cancer. Since previous studies indicate that the intratumoral injection of siRNAs is a feasible and convenient method for preliminary evaluation of siRNA effect in animal models [
50], further
in vivo study is warranted to better evaluate the efficiency of HPA-specific siRNAs on the invasion and metastasis of gastric cancer.
Competing interests
The authors declare that they have no competing interests.
Authors' contributions
TQS designed the study, analyzed and interpreted the data, and drafted the manuscript. ZLD, JGS, MH and PJR performed cell culture, gene transfection and experimental detection. DJH and HXH were engaged in drafting the manuscript and in statistical analysis. All authors read and approved the final manuscript.