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PLOS ONE logoLink to PLOS ONE
. 2013 Feb 20;8(2):e55522. doi: 10.1371/journal.pone.0055522

Low SP1 Expression Differentially Affects Intestinal-Type Compared with Diffuse-Type Gastric Adenocarcinoma

Hun Seok Lee 1,#, Cheol-Keun Park 2,#, Ensel Oh 1, Özgür Cem Erkin 1, Hun Soon Jung 1, Mi-Hyun Cho 1, Mi Jeong Kwon 3, Seoung Wan Chae 4, Seok-Hyung Kim 2, Li-Hui Wang 5, Min-Jeong Park 1, Su-Yeon Lee 1, Ho Bin Yang 1, Lina Jia 5, Yoon-La Choi 2, Young Kee Shin 1,*
Editor: Mitsunobu R Kano6
PMCID: PMC3577840  PMID: 23437057

Abstract

Specificity protein 1 (SP1) is an essential transcription factor that regulates multiple cancer-related genes. Because aberrant expression of SP1 is related to cancer development and progression, we focused on SP1 expression in gastric carcinoma and its correlation with disease outcomes. Although patient survival decreased as SP1 expression increased (P<0.05) in diffuse-type gastric cancer, the lack of SP1 expression in intestinal-type gastric cancer was significantly correlated with poor survival (P<0.05). The knockdown of SP1 in a high SP1-expressing intestinal-type gastric cell line, MKN28, increased migration and invasion but decreased proliferation. Microarray data in SP1 siRNA-transfected MKN28 revealed that the genes inhibiting migration were downregulated, whereas the genes negatively facilitating proliferation were increased. However, both migration and invasion were decreased by forced SP1 expression in a low SP1-expressing intestinal-type gastric cell line, AGS. Unlike the intestinal-type, in a high SP1-expressing diffuse-type gastric cell line, SNU484, migration and invasion were decreased by SP1 siRNA. In contrast to previous studies that did not identify differences between the 2 histological types, our results reveal that low expression of SP1 is involved in cancer progression and metastasis and differentially affects intestinal-type compared with diffuse-type gastric adenocarcinoma.

Introduction

Lauren's classification, which divides gastric carcinoma into intestinal and diffuse subtypes according to tumor morphological features, has been adopted worldwide [1]. Each tumor type develops through a distinct carcinogenic pathway [2]. The 2 histological types have unique macroscopic appearances reflecting the difference in their microscopic growth patterns. In the intestinal-type carcinoma, the macroscopic margins correspond approximately to the microscopic spread, whereas the poor differentiation of the diffuse-type carcinoma allows its submucosal extension far beyond its macroscopic borders [3]. This difference in tumor spread is of clinical importance in choosing an appropriate treatment [1].

SP1 (specificity protein 1) is a sequence-specific DNA-binding protein that is involved in the activation and regulation of cellular transcription. SP1 is an essential transcription factor for many genes [4] whose abnormal function may result in tumor cell development, differentiation, and proliferation in various types of cancers, including breast and pancreatic [5], [6]. Nevertheless, the role of SP1 in gastric carcinoma has not been clarified, although a line of evidence clearly emphasizes its clinical importance; SP1 overexpression is reportedly correlated with angiogenic potential and poor prognosis in human gastric carcinoma [7][9].

We examined SP1 expression and the clinical significance of its relationship with Lauren's histological classification of the different types of gastric cancer tissue samples and cell lines. We suggest that SP1 may have different functions in intestinal- and diffuse-type gastric carcinomas.

Materials and Methods

Patient tissues and immunohistochemical analysis

Using 396 gastric tissue samples, including 268 carcinomas, 16 high-grade dysplasias, 12 low-grade dysplasias, 38 intestinal metaplasias, 24 chronic atrophic gastritis samples, and 38 normal gastric epithelium samples from Chungbuk National University Hospital (Cheongju, Korea) and Samsung Medical Center (Seoul, Korea), a tissue microarray with 3-mm diameter tissue columns was constructed. SP1 immunostaining was performed using a rabbit anti-SP1 antibody (1:50 dilution, Santa Cruz Biotechnology, Santa Cruz, CA), as previously reported [10]. The staining intensity and proportion of positively stained epithelial cells were evaluated, and an immunoreactive score (IS) for each sample was generated, as previously described [11]. These samples were divided into 2 categories based on the SP1 expression levels exhibiting maximal statistical significance in both intestinal- and diffuse-type gastric cancer: low (IS <2) and high (≥2).

Cell lines and western blot analysis

Fifteen gastric cancer cell lines were maintained in appropriate culture media. Cells were harvested, and proteins were extracted for western blot analysis using primary antibodies against SP1, SP3, SP4, VEGF (vascular endothelial growth factor), CDH1 (E-cadherin), GAPDH (glyceraldehyde 3-phosphate dehydrogenase), and ACTB (beta-actin).

Cell proliferation, migration and invasion assay

Control or SP1-specific siRNA (Thermo Scientific Dharmacon Products, Lafayette, CO) was transfected into SNU484 or MKN28 cells. The effects of SP1 knockdown on cell proliferation were measured by the Water-Soluble Tetrazolium salts (WST) method (EZ-Cytox kit; Daeil Lab Service, Seoul, Korea). The cell viability was reported as a percentage of control siRNA-transfected cells.

To evaluate changes in cell migration and invasion, 3×104 SP1 siRNA- or SP1-plasmid-transfected cells were utilized in a CHEMICON QCM™ 24-well Cell Migration and Invasion Assay System (Millipore Corporation, Billerica, MA). Cell numbers were detected fluorometrically with a GENios reader (Tecan, Männedorf, Switzerland) and 485/535 nm filter set. The migration and invasion assays were performed in triplicate in at least 3 independent experiments. The values are expressed as the percentages compared with the controls.

RNA preparation and qRT-PCR

Total RNA was extracted using TRIzol (Invitrogen, Grand Island, NY) and reverse transcribed to cDNA using the Superscript™ II First-Strand Synthesis System (Invitrogen). Following cDNA synthesis, qRT-PCR was performed as described [12] using primers for SP1, VEGF, CDH1, CXCL10 (C-X-C motif chemokine 10), ACVRL1 (activin A receptor type II-like 1), CDKN2D (cyclin-dependent kinase inhibitor 2D), BCL2 (B-cell CLL/lymphoma 2), and TRIB1 (tribbles homolog 1); HPRT1 (Hypoxanthine-guanine phosphoribosyltransferase) was used to normalize gene expression. The primer and probe sequences (Roche Diagnostics, Mannheim, Germany) are listed in Table S1.

Gene expression array

Total RNA was extracted from control- or SP1 siRNA-treated MKN28 cells using the RNeasy Kit (Qiagen, Valencia, CA). The RNA quality was assessed using an Agilent 2100 Bioanalyzer (Agilent Technologies, Palo Alto, CA). For microarray hybridization, 100 ng RNA from each sample was amplified and labeled with the Cy3 or Cy5 fluorescent dye. The quantity and purity of the fluorescently labeled cRNA were evaluated using a NanoDrop ND-1000 UV-Vis Spectrophotometer (Thermo Fisher Scientific, Wilmington, DE). Equal amounts of Cy3 and Cy5-labeled cRNA were hybridized to an Agilent Human Microarray (G4112F) for 17 h at 65°C. Two replicates with dye-swap were performed, and the hybridized microarrays were washed and scanned using an Agilent G2565BA scanner. Data were extracted from the scanned images using Agilent Feature Extraction. The expression data were analyzed using the open-source statistical language R (version 2.10.0) with the samr and GOstats packages.

Statistical analysis

The association of SP1 expression levels with clinicopathological factors was assessed by Pearson's Chi-squared contingency table tests. The survival probabilities of two groups of SP1 were estimated by Kaplan-Meier curves and compared using the Log rank test. The Cox proportional hazard model was used to estimate the hazard ratios of various clinicopathological factors and SP1 expression on the survival of the gastric cancer patients. The survival analyses were performed using the open-source statistical language R (version 2.10.0) with the survival package.

For details, see Materials and Methods S1 (supporting information).

Results

Expression of SP1 through gastric tumorigenesis

The immunochemical analysis of SP1 revealed a significant increase in its expression during tumor progression (p<0.0001) (Table S2). In normal and chronic atrophic gastritis cases, SP1 expression was low in 89.5% and 83.3% of the samples, respectively. In intestinal metaplasia, the frequency of high SP1 expression increased to 31.6%, and the proportion of cases exhibiting high SP1 expression increased further to 50.0% and 56.3% in low- and high-grade dysplasia, respectively. Moreover, as the tumor advanced to carcinoma, high SP1 expression was frequently observed (72.8%). SP1 expression therefore increases as normal gastric tissues develop into cancer (Figure 1A).

Figure 1. Immunohistochemical and survival analysis of SP1 expression in gastric cancer patients and SP1 expression in gastric cancer cell lines.

Figure 1

A) The expression of SP1 increases with tumor progression from precancerous to malignant lesions. Positive staining is determined by a reddish-brown precipitate in the nuclei. B) The Kaplan-Meier survival probability with respect to SP1 expression levels in gastric carcinomas. Log-rank tests were performed to compare the survival of SP1 subgroups both within and between subtypes. C) The Kaplan-Meier survival probability with respect to SP1 expression levels in intestinal-type gastric carcinomas. Log-rank tests were performed to compare the survival of SP1 subgroups both within and between subtypes. P<0.05 was considered to be statistically significant. D) The Kaplan-Meier survival probability with respect to SP1 expression levels in diffuse-type gastric carcinomas. Log-rank tests were performed to compare the survival of SP1 subgroups both within and between subtypes. P<0.05 was considered to be statistically significant. E) The SP1 expression in 15 gastric cancer cell lines was measured by western blot analysis. The numbers indicate semi-quantified protein expression based on scanning densitometry normalized to GAPDH (a control). VEGF was also measured to compare its expression with SP1 in each cell type.

Different patterns of SP1 expression and survival analyses in intestinal- and diffuse-type gastric cancer

Chi-square tests did not identify a significant association between SP1 expression levels and any clinicopathological features other than WHO classification and Lauren's histology type (P<0.05, Table 1). Moreover, a total patient survival rate based on Kaplan-Meier analysis have not shown significance (Figure 1B). Given that Lauren's histological classification is significantly correlated with SP1 expression in gastric cancer, we divided the samples according to their histological type and analyzed their correlation with clinicopathological features as well as their relationship with overall patient survival. Indeed, Kaplan-Meier survival analysis of these 2 groups identified different patterns (Figure 1C, D).

Table 1. Clinicopathological characteristics of gastric cancer patients and the correlation with SP1 expression.

Variables Total Intestinal-type Diffuse-type
No. of patients SP1 Low (%) SP1 High (%) No. of patients SP1 Low (%) SP1 High (%) No. of patients SP1 Low (%) SP1 High (%)
Age
<60 148 44 (29.7) 104 (70.3) 67 15 (22.4) 52 (77.6) 56 20 (35.7) 36 (64.3)
≥60 120 29 (24.2) 91 (75.8) 87 15 (17.2) 72 (82.8) 23 7 (30.4) 16 (69.6)
P = 0.379 P = 0.552 P = 0.851
Sex
F 105 30 (28.6) 75 (71.4) 54 12 (22.2) 42 (77.8) 41 14 (34.1) 27 (65.9)
M 163 43 (26.4) 120 (73.6) 100 18 (18.0) 82 (82.0) 38 13 (34.2) 25 (65.8)
P = 0.800 P = 0.676 P = 0.817
Tumor size (cm)
<5.0 86 23 (26.7) 63 (73.3) 53 7 (13.2) 46 (86.8) 21 10 (47.6) 11 (52.4)
≥5.0 170 47 (27.6) 123 (72.4) 96 22 (22.9) 74 (77.1) 58 17 (29.3) 41 (70.7)
P = 0.996 P = 0.224 P = 0.212
Stage
I 66 18 (27.3) 48 (72.9) 42 5 (11.9) 38 (88.1) 7 3 (42.9) 4 (57.1)
II 35 8 (22.9) 27 (77.1) 26 3 (11.5) 23 (88.5) 9 5 (55.6) 4 (44.4)
III 91 26 (28.6) 65 (71.4) 46 9 (19.6) 37 (80.4) 36 14 (38.9) 22 (61.1)
IV 75 21 (28.0) 54 (72.0) 39 13 (33.3) 26 (66.7) 26 5 (19.2) 21 (80.8)
P = 0.932 P = 0.057 P = 0.175
WHO classification
Tubular, Well 31 5 (16.1) 26 (83.9) 30 5 (16.7) 25 (83.3) 1 0 (0.0) 1 (100.0)
Tubular, Moderately 91 21 (23.1) 70 (76.9) 88 21 (23.7) 67 (76.3) 2 0 (0.0) 2 (100.0)
Tubular, Poorly 91 21 (23.1) 70 (76.9) 30 1 (3.3) 29 (96.7) 54 19 (35.2) 35 (64.8)
Signet ring cell type 48 21 (43.8) 27 (56.2) 3 1 (33.3) 2 (66.7) 18 5 (27.8) 13 (72.2)
Mucinous type 6 5 (83.3) 1 (16.7) 3 2 (66.7) 1 (33.3) 3 3 (100.0) 0 (0.0)
P<0.001 P = 0.028 P = 0.106
Invasion Depth
T1 49 14 (28.6) 35 (71.4) 31 3 (9.7) 28 (90.3) 3 2 (66.7) 1 (33.3)
T2 53 12 (22.6) 41 (77.4) 35 5 (14.3) 30 (85.7) 17 6 (35.3) 11 (64.7)
T3 122 34 (27.9) 88 (72.1) 64 15 (23.4) 49 (76.6) 46 15 (32.6) 31 (67.4)
T4 39 12 (30.8) 27 (69.2) 22 6 (27.3) 16 (72.7) 12 4 (33.3) 8 (66.7)
P = 0.927 P = 0.257 P = 0.693
Nodal metastasis
Yes 183 51 (27.9) 132 (72.1) 101 23 (22.8) 78 (77.2) 65 22 (33.8) 43 (66.2)
No 72 19 (26.4) 53 (73.6) 48 6 (12.5) 42 (87.5) 13 5 (38.5) 8 (61.5)
P = 0.934 P = 0.208 P = 1.000
Distant Metastasis
Yes 41 13 (31.7) 28 (68.3) 20 8 (40.0) 12 (60.0) 13 3 (23.1) 10 (76.9)
No 204 48 (23.5) 156 (76.5) 122 16 (13.1) 106 (86.9) 56 19 (33.9) 37 (66.1)
P = 0.364 P = 0.008 P = 0.670
Lauren's histologic type
Intestinal 154 30 (19.5) 124 (80.5)
Diffuse 79 27 (34.2) 52 (65.8)
Mixed 35 16 (47.1) 19 (52.9)
P = 0.021a, 0.002b

a, chi-square test between intestinal- and diffuse-types; b, chi-square test including mixed type.

A total of 268 gastric carcinoma patient samples showed no particular correlation with any clinicopathological features except WHO classification and Lauren's histologic type. P<0.05 is considered statistically significant.

The percentage cases with high SP1 expression in intestinal-type gastric cancer was significantly reduced in the distant metastasis group (P = 0.008, Table 1). The survival plot supports these results, as the group with the poorest prognosis is also the group with the lowest SP1 expression (P = 0.0111, Figure 1C). In contrast, diffuse-type gastric cancer exhibited a negative correlation with SP1 expression; high expression correlated with low survival rates (P = 0.0133, Figure 1D). The diffuse type does not appear to be related to any of the unfavorable clinicopathological parameters, as none were statistically significant (Table 1).

The hazard ratios of various clinicopathological factors, including SP1 expression, were estimated using the Cox proportional hazard model. The most significant factors were tumor size and pathological stage in both subtypes, and SP1 expression exhibited a considerable significance in univariate Cox analysis (Table 2). As observed in the Kaplan-Meier curves, the univariate analysis indicated an inverse relationship between SP1 expression and patient survival in intestinal- (hazard ratio  = 0.516, P = 0.012) and diffuse-type (hazard ratio  = 2.218, P = 0.016) gastric cancer. In the multivariate Cox analysis, the pathological stage retained the highest significance of all of the parameters assessed, whereas tumor size became insignificant in both subtypes (Table 2). Although the overall significance of SP1 expression decreased in multivariate analysis, the hazard ratio indicated a marginally significant correlation between low SP1 expression and overall survival in intestinal-type cancer (hazard ratio  = 0.603, P = 0.075).

Table 2. Univariate and multivariate survival analyses in intestinal- and diffuse-type gastric carcinoma.

Intestinal type
Variables Univariate Multivariate
Hazard ratio (95% confidence interval) P Hazard ratio (95% confidence interval) P
Age (<60 vs. ≥60) 1.720 (1.059–2.796) 0.029 1.595 (0.919–2.769) 0.097
Sex (F vs. M) 1.010 (0.622–1.637) 0.970
Size (<5.0 vs. ≥5.0) 3.352 (1.756–6.401) <0.001 1.274 (0.607–2.674) 0.522
Chemotherapy (No vs. Yes) 1.065 (0.673–1.686) 0.787 0.702 (0.402–1.227) 0.215
Stage (I/II vs. III/IV) 6.329 (3.394–11.80) <0.001 5.807 (2.764–12.020) <0.001
SP1: Low (IS<2) Referent Referent
High (IS≥2) 0.516 (0.307–0.867) 0.012 0.603 (0.346–1.051) 0.075

Survival analyses of the effects of various critical clinicopathological factors on SP1 expression were calculated using a Cox proportional hazard model. P values <0.05 were considered statistically significant.

The SP1 expression and classification of 15 gastric cancer cell lines

Based on previous findings [13] and differentiation levels, we divided 15 cell lines into intestinal and diffuse types and classified them as low or high SP1 expressors based on their SP1 levels relative to GAPDH by western blot analysis (Figure 1E). Although all of the diffuse-type cancer cell lines, including SNU5, SNU16, SNU484, SNU601, SNU620, SNU638, SNU668, and KATOIII, belonged to the high-SP1 expressor subtype, several intestinal-type cell lines, such as SNU216, SNU719, and AGS, were low-SP1 expressors, and others, such as MKN1, MKN28, MKN74, and NCI-N87, belonged to the high-expressor subtype (Figure S1A). VEGF levels regulated by SP1 were also examined, but both protein levels failed to exhibit any significant correlation (Figure 1E).

Alteration of SP1 expression between intestinal- and diffuse-type gastric cancer cells

Because high SP1 expression was correlated with a better prognosis in intestinal-type gastric cancer patients, we hypothesized that changes in the SP1 levels would be reflected in the malignant properties of this type. When endogenous SP1 expression was reduced by siRNA in the high-SP1 expressor intestinal-type cell line, MKN28, the transcription levels of VEGF and CDH1, both of which harbor GC-rich consensus SP1 binding elements, were decreased (Figure 2A). The protein levels of these genes were also adversely affected by SP1 knockdown (Figure 2B). Although SP1 siRNA transfection of MKN28 cells inhibited their growth, SP1 knockdown increased their migration and invasion (Figure 2C). These data indicate that the disruption of SP1 is related to VEGF and CDH1 levels and contributes to migration and invasion in intestinal-type gastric carcinoma cells. Moreover, proliferation was decreased in other intestinal-type cells, MKN1 and MKN74. Both migration and invasion were increased in MKN74, but only invasion was augmented in MKN1 (Figure S2A, B). Accordingly, migration and invasion were diminished by transfection with the SP1 expression plasmid in the low-SP1 expressor intestinal-type cell line, AGS (Figure 2D, E).

Figure 2. The transfection of the intestinal-type cell lines, MKN28 and AGS, with SP1 siRNA or SP1 plasmid controls cell proliferation, cell migration, and invasion.

Figure 2

A) MKN28 cells were transfected with SP1 siRNA or control siRNA. Total mRNA was extracted to determine the expression of endogenous VEGF and CDH1 using qRT-PCR. HPRT was used as a control. *, P<0.05; **, P<0.01. B) Western blot data reveal that SP1 siRNA causes the knockdown of SP1 and reduces the expression of both VEGF and CDH1 in MKN28. GAPDH was used as a control. C) Cell proliferation, migration, and invasion were assessed after transfection with SP1 or control siRNA in MKN28. **, P<0.01. D) Western blot data demonstrated that SP1 protein levels were increased by transfection with the SP1 plasmid. ACTB served as the control in AGS. E) Cell proliferation, migration, and invasion assays were performed after transfection with the SP1 plasmid or a control vector in AGS. **, P<0.01.

In contrast to the intestinal-type cells, SP1 knockdown by SP1 siRNA in a diffuse-type cell line, SNU 484, led to decreased migration and invasion, although it did not affect either the mRNA or the protein levels of VEGF or cell proliferation (Figure 3A–C). The CDH1 expression in the SNU484 cells was too low to detect either transcript or protein levels (data not shown). In other diffuse-type cells, SNU638 and SNU668, either migration or invasion were decreased (Figure S2C, D). These results suggest that SP1 expression contributes differently to the regulation of migration and invasion in the 2 types of gastric cancer cells.

Figure 3. Both cell migration and invasion decrease with decreasing SP1 in SNU484 diffuse-type gastric carcinoma cells, and transcription of genes related to cell proliferation or migration was changed by SP1 siRNA transfection in MKN28.

Figure 3

A) SNU484 cells were transfected with SP1 siRNA or control siRNA. Total mRNA was extracted to determine the expression of endogenous VEGF and CDH1 by qRT-PCR. HPRT was used as a control. **, P<0.01. B) Western blot data demonstrate that protein levels of VEGF were not changed by SP1 knockdown in SNU484. ACTB was used as a control. C) Cell proliferation, migration, and invasion were assessed after transfection with SP1 or control siRNA in SNU484. **, P<0.01. D) qRT-PCR of SP1 along with genes involved in negatively regulating either cell proliferation or cell migration after the transfection of SP1 siRNA in MKN28 cells demonstrates that SP1 knockdown promotes the elevation of the cell proliferation-inhibiting genes CXCL10, ACVRL1 and CDKN2D and the reduction of the cell migration inhibition genes BCL2 and TRIB1 at the transcript level. HPRT was used as a control. *, P<0.05; **, P<0.01.

Alteration of SP1 expression influences genes that regulate proliferation and migration in MKN28 cells

To understand how gene expression might be affected by SP1 silencing, we compared SP1 knockdown cells with control siRNA-treated MKN28 cells in an expression array system. The genes in the microarray were divided according to GO terms, and significantly up- or down-regulated genes involved in proliferation and migration were identified (Tables 3 and 4).

Table 3. Gene list divided into categories based on gene expression array data of SP1 siRNA-treated MKN28 cells.

Upregulated genes (fold change >2.5, 277 genes)
GO term P-Value Categories Gene list
GO:0006952 0.001 defense response IL17B CXCL1 IFNB1 IL4 IL6 CXCL10 CXCL9 TLR7 ERAP1 CCL2 CXCL11 CLEC7A BMP2 TFF3 VNN1 RSAD2 IL32 HDAC9
GO:0006955 0.001 immune response TRIM22 GBP4 GBP5 IL17B CXCL1 IFNB1 IL4 IL6 CXCL10 CXCL9 TLR7 ERAP1 CCL2 CXCL11 CLEC7A CBLB VNN1 RSAD2 IL32
GO:0006954 0.001 inflammatory response IL17B CXCL1 IL6 CXCL10 CXCL9 TLR7 CCL2 CXCL11 CLEC7A BMP2 VNN1 HDAC9
GO:0009611 0.005 response to wounding MMRN1 IL17B CXCL1 IL6 CXCL10 CXCL9 TLR7 CCL2 CXCL11 CLEC7A BMP2 VNN1 ACVRL1 HDAC9
GO:0006935 0.006 chemotaxis CXCL1 IL4 IL6 CXCL10 CXCL9 CCL2 CXCL11
GO:0002376 0.007 immune system process TRIM22 CETP GBP4 GBP5 IL17B CXCL1 ID2 IFNB1 IL4 IL6 CXCL10 CXCL9 TLR7 ERAP1 CCL2 CXCL11 CLEC7A CBLB VNN1 RSAD2 IL32 HDAC9
GO:0008285 0.008 negative regulation of cell proliferation CDKN2D CXCL1 IFNB1 IL6 TNFRSF9 PTHLH BDNF BMP2 CTTNBP2 ACVRL1

Table 4. Gene list involved in proliferation and migration based on gene expression array data of SP1 siRNA-treated MKN28 cells.

Upregulated genes
Gene symbol Gene name Fold change
CXCL10 chemokine (C-X-C motif) ligand 10 8.35
ACVRL1 activin A receptor type II-like 1 5.64
IFNB1 interferon, beta 1 4.64
CXCL1 chemokine (C-X-C motif) ligand 1 4.61
ID4 inhibitor of DNA binding 4 3.05
CDKN2D cyclin-dependent kinase inhibitor 2D 2.71

Significant changes in the array data were validated by qRT-PCR, and certain genes, such as CXCL10, ACVRL1, CDKN2D, BCL2, and TRIB1, enabled us to compare their transcript levels upon SP1 siRNA transfection into MKN28 cells. These 5 genes were chosen based on their ranks of both fold change and p-values and were targeted for validation. The downregulation of SP1 by siRNA resulted in increased or decreased mRNA levels of these genes as determined by qRT-PCR, which was consistent with the expression array data (Figure 3D).

Discussion

SP1 overexpression was found in breast cancer, hepatocellular carcinoma, thyroid tumors, and in gastric cancer [14][16]. SP1 regulates a variety of cancer associated genes that are related to cell growth, proliferation, angiogenesis, migration, and apoptosis [15], [16]. Our immunohistochemical data are consistent with previous clinicopathological studies demonstrating SP1 overexpression in gastric carcinoma tissues [7][9]. In normal tissues and chronic atrophic gastritis, SP1 expression was low. However, as the transformation progressed from intestinal metaplasia to low- and high-grade dysplasia, SP1 expression increased markedly and became high in carcinoma.

Two histological types in gastric cancer should be necessarily considered because intestinal- and diffuse-type have different macroscopic appearance and microscopic growth pattern, reflecting the remarkable difference in their molecular signaling pathway [3]. Our survival data reveal patterns with significant differences when classified according to histological types. In intestinal-type cancer, patients with high SP1 expression had a better prognosis. In contrast, diffuse-type cancer was correlated with a distinct survival pattern in which patient prognosis worsened as SP1 expression increased. Thus, the survival of gastric cancer patients was correlated not only with SP1 expression levels but also with the histological type.

In recent studies, high SP1 and/or VEGF expression were associated with poor survival in human gastric carcinoma [7][9]. This observation, however, did not address the difference between intestinal- and diffuse-type cancers. Hence, our results are unique because no other groups have previously included Lauren's classification as an important variable in gastric cancer. Consequently, we divided intestinal- and diffuse-type gastric cancer cell lines into low- or high-SP1 expressor subtypes. Comparisons of cell proliferation, migration, and invasion between non-targeting and SP1 siRNA-transfected intestinal type cells provided us with possible connections between SP1 and the genes related to these processes. Intestinal type cells with reduced SP1 levels were more capable of migration and invasion than those with high SP1 expression; this result, in part, explains the decreased survival of patients expressing low levels of SP1 in intestinal-type gastric cancer. By contrast, diffuse-type cells with reduced SP1 levels were less capable of migration and invasion. These differences of SP1 role in migration/invasion of intestinal- and diffuse-type gastric cancer show the complexity of SP1-dependent regulation of migration/invasion signaling pathway. This may be related to domain-specific interaction of SP1 with other DNA-bound transcription factor, DNA-independent nuclear factor, SP1 posttranslational modification. Therefore, intestinal- and diffuse- type gastric cancer cells seem to have different migration/invasion signaling pathway and SP1 signaling is dependent on cell context.

Previous studies of SP1 in gastric carcinoma have concentrated on its direct association with VEGF and its involvement in angiogenesis during gastric carcinoma development [8], [17]. However, other mechanisms, such as migration, apoptosis, and cell cycle progression, may have been affected during tumor progression because gastric carcinoma is a disease caused by multiple factors, and SP1 is a transcriptional factor that interacts with many other genes. CDH1 has a GC-rich DNA region in its promoter that is bound and upregulated by SP1 [18]. A reduction in CDH1 increases cell mobility and promotes tumor cell invasion [19], [20]. These facts are consistent with our observations because cell migration and invasion were increased by the decreased expression of SP1 and CDH1 in intestinal-type cell lines. In contrast, a reduction in SP1 in a diffuse-type cell line did not result in reduced VEGF protein levels, and neither mRNA nor protein levels of CDH1 were detected. It has been reported that approximately 25%–40% of diffuse gastric cancers are caused by CDH1 inactivation [21], [22]. The difference between the 2 distinct gastric carcinomas can be explained by the involvement of other genes in VEGF and CDH1 regulation or by different types of CDH1 mutations [21][23]. Moreover, different genetic alterations were observed in intestinal- and diffuse-type gastric cancers [23].

The loss of SP1 may change the expression of genes involved in cell proliferation and migration. This effect could also explain the poorer survival of low SP1-expressing intestinal-type gastric cancer patients (Figure 1C). The disruption of the basal tissue structure may enhance invasiveness and cancer development in later stages. The association of SP1 with genes mediating proliferation and migration was identified in our results. We observed that genes such as CXCL10, ACVRL1, and CDKN2D, which are involved in inhibiting cell proliferation, were upregulated by SP1 silencing. CXCL10 inhibits the proliferation of endothelial cells isolated from different tissues [24]. Although its cellular function has long been debated, ACVRL1 expression inhibits endothelial cell proliferation [25], [26]. CDKN2D is periodically expressed during the cell cycle and is maximally induced as cells enter the S phase. When it is constitutively expressed, CDKN2D inhibits CDK4/6 in vivo and induces G1-phase arrest [27]. The overall effect of the increased expression of these genes may inhibit tumor cell growth. Although the patterns of SP1 protein levels in gastric cancer cell lines were not directly correlated with the patterns of SP3 and SP4 protein levels (Figure S1B), CXCL10, ACVRL1, and CDKN2D in MKN28 can also be regulated by SP3 and SP4 in a similar manner to SP1 (data not shown), suggesting that different SP transcription factors can regulate the same gene [28][30].

Furthermore, BCL2 and TRIB1, which are involved in cell migration, were found to be downregulated in this study. The promoters of many anti-apoptotic (BCL2, BCL2L1, etc.) and pro-apoptotic genes (BAX, TRAIL, FAS, CASP3, etc.) contain SP1-binding sites [31]. The anti-apoptotic protein, BCL2, modulates cell adhesive and migratory properties. The overall effect of BCL2 loss is increased cell migration and invasion with decreased adhesion to the extracellular matrix via vitronectin and fibronectin [32]. In contrast, TRIB1 controls vascular smooth muscle cell proliferation and migration [33]. The depletion of TRIB1 leads to an increase in transmigrated cells. These findings are consistent with the results of our study; however, to verify our hypothesis, functional studies are needed.

In summary, we determined that the level of SP1 expression exhibits different patterns in each of Lauren's histological types of human gastric cancers and is closely associated with patient survival. Survival analysis revealed that SP1 levels might become a prognostic biomarker of gastric cancer. In particular, low expression of SP1 is involved in cancer progression and metastasis and may lead to poor prognosis in intestinal-type gastric adenocarcinoma.

Supporting Information

Figure S1

The diagram of SP1 expressor and expression of SP family in gastric carcinoma cell lines. A) Based on these numbers, cells were classified as low or high SP1 expressors as arranged in the diagram. B) SP1, SP3, and SP4 expressions in 10 gastric cancer cell lines were measured using western blot analysis. ACTB was used as the control.

(TIF)

Figure S2

Cell proliferation, migration, and invasion assay in gastric carcinoma cell lines with SP1 siRNA. A–B) Cell proliferation, migration, and invasion were assessed after transfection with SP1 or control siRNA in intestinal-type cells. *, P<0.05; **, P<0.01. C–D) Cell proliferation, migration, and invasion were assessed after transfection with SP1 or control siRNA in diffuse-type cells. *, P<0.05; **, P<0.01.

(TIF)

Table S1

Primer sequences for qRT-PCR.

(DOC)

Table S2

Expression of SP1 in the progression of gastric cancer.

(DOC)

Materials and Methods S1

(DOC)

Acknowledgments

We would like to thank Si Eun Kim, Shin Hye Oh, and Ji Seung Choi for their technical assistance.

Funding Statement

This study was supported by Samsung Medical Center Clinical Research Development Program grant #SBRI C-A9-213-1 and the Global Frontier Project grant (NRF-M1AXA002-2010-0029795) of National Research Foundation funded by the Ministry of Education, Science and Technology of Korea. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1

The diagram of SP1 expressor and expression of SP family in gastric carcinoma cell lines. A) Based on these numbers, cells were classified as low or high SP1 expressors as arranged in the diagram. B) SP1, SP3, and SP4 expressions in 10 gastric cancer cell lines were measured using western blot analysis. ACTB was used as the control.

(TIF)

Figure S2

Cell proliferation, migration, and invasion assay in gastric carcinoma cell lines with SP1 siRNA. A–B) Cell proliferation, migration, and invasion were assessed after transfection with SP1 or control siRNA in intestinal-type cells. *, P<0.05; **, P<0.01. C–D) Cell proliferation, migration, and invasion were assessed after transfection with SP1 or control siRNA in diffuse-type cells. *, P<0.05; **, P<0.01.

(TIF)

Table S1

Primer sequences for qRT-PCR.

(DOC)

Table S2

Expression of SP1 in the progression of gastric cancer.

(DOC)

Materials and Methods S1

(DOC)


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