# TSP-1-1223 A/G Polymorphism as a Potential Predictor of the Recurrence Risk of Bladder Cancer in a Chinese Population

Authors: Xiao Yang; Pengchao Li; Xuejian Yang; Chao Qin; Qiang Cao; Zhengdong Zhang; Meilin Wang; Hongzhou Cai; Jinbao Gu; Jun Tao; Min Gu; Qiang Lu; Changjun Yin
Journal: International Journal of Genomics
 (2013)

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## Abstract

Backgrounds. TSP-1 is a glycoprotein that functions in the biology of bladder cancer. We investigated the relationship between the distribution of TSP-1-1223 A/G polymorphism (rs2169830) and the clinical characteristics of bladder cancer. Materials and Methods. TaqMan assay was performed to determine the genotype of 609 cases and 670 control subjects in a Chinese population. Logistic regression was used to assess the association between the polymorphism and the risk of bladder cancer. Quantitative real-time polymerase chain reaction was performed to determine TSP-1 mRNA expression. Survival curves were generated using the Kaplan-Meier method. Results. No significant differences were detected in the genotype frequencies of healthy control subjects and patients with bladder cancer. By contrast, the time until the first recurrence differed significantly between genotypes (P=0.017). The expression of TSP-1 mRNA in bladder cancer tissues was lower in patients with an AG genotype than in those with an AA genotype. The lowest expression was observed in patients with a GG genotype. Conclusions. In conclusion, TSP-1-1223 A/G polymorphism may contribute to the recurrence of bladder cancer in Chinese population.


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## Body

## 1. Introduction

Bladder cancer is the second most common genitourinary malignancy and the sixth most common cancer in the world [1]. In China, the incidence of bladder cancer continues to increase [2]. The incidence of bladder cancer also increases with age, and the peak is reached approximately at the age of 60 years; bladder cancer is three times more common in men than in women [3]. Among the newly diagnosed cases of transitional cell carcinomas, approximately 75% to 80% of these cases present superficial tumours; 50% to 70% of these superficial tumours relapse within five years; and roughly 10% to 20% progress to a more aggressive disease [4]. Bladder cancer is a multifactorial disease mediated by genetic abnormalities, environmental factors, and chronic irritation [5]. Although many individuals are exposed to these risk factors, only a fraction of exposed individuals develop bladder cancer in their lifetime, suggesting that genetic variations may participate in bladder carcinogenesis.Thrombospondin-1 (TSP-1) is an adhesive glycoprotein with a size of 450 kD initially discovered in platelets, where TSP-1 is sequestered in a plateletα-granule [6]. TSP-1 has been implicated in regulating numerous biological activities, including cell adhesion, cell migration, proliferation, angiogenesis, inflammation, and wound healing [7–12]. TSP-1 also elicits different effects on tumour growth and progression depending on the tumour type, leading to cancer progression and inhibition in different instances [11–18]. In bladder cancer, low TSP-1 expression is significantly associated with an increased risk of disease recurrence and decreased overall survival [17, 18].Genetic factors have a critical function in initiating cancer. Studies have been conducted to assess the association between polymorphisms in candidate genes and bladder cancer risk [19]. To date, genetic polymorphisms in TSP-1 gene are possibly associated with coronary artery disease and myocardial infarction [20, 21]. The transcriptional initiation site of the TSP-1 gene was identified by Laherty et al. [22]. TSP-1-1223 A/G polymorphism is located in the 5′ near-gene region of the TSP-1 gene, which may influence the transcriptional activity of TSP-1. Furthermore, TSP-1-1223 A/G polymorphism may participate in the aetiology and development of bladder cancer.In the present study,TSP-1-1223 A/G polymorphism (rs2169830) may be involved in the predisposition to develop bladder cancer. To validate this hypothesis, we genotyped the polymorphism and determined its association with the risk of bladder cancer in our ongoing, hospital-based, case-control study in a Chinese population.


## 2. Materials and Methods

### 2.1. Ethics Statement

The study was approved by the Institutional Review Board of the First Affiliated Hospital of Nanjing Medical University, Nanjing, China. During recruitment, written informed consent was obtained from all of the participants involved in this study.


### 2.2. Patients and Controls

The present study included 609 patients with bladder cancer and 670 age-matched control subjects from Han population living in Jiangsu and Anhui provinces in Eastern China. The patients with bladder cancer were recruited from July 2006 to July 2012 in the Department of Urology, the First Affiliated Hospital of Nanjing Medical University. The patients were excluded in this study according to the following: previous cancer, metastasised cancer from other or unknown origins, and previously subjected to radiotherapy or chemotherapy. Diagnosis of bladder cancer was confirmed by histopathological analysis. Cancer-free control individuals were frequency matched with the cancer patients in terms of age (±5 years) and gender. We also ensured that these control subjects were genetically unrelated to the cases. All of the control subjects were recruited from healthy individuals who were scheduled for a physical examination in the outpatient department at the same hospital. The control subjects were excluded if they manifested symptoms of bladder cancer, such as haematuria. Prior to recruitment, all of the subjects were personally interviewed to collect demographic data and clinical characteristics, including age, gender, race, tobacco use, alcohol use, and self-reported family history of cancer. According to the tumour, node, and metastasis classification of cancer stages (2002 International Union Against Cancer), the clinical stage at the time of diagnosis was classified into two subgroups: nonmuscle invasive group (pTa-pT1) and muscle invasive group (pT2-pT4). According to histopathological grade (WHO 1973, grading of urothelial papilloma), the patients were classified into three subgroups: grades 1, 2, and 3. Individuals who smoked daily for >1 year were defined as smokers and the rest were considered as nonsmokers. Individuals who drank alcohol at least three times per week for more than 6 months were defined as drinkers and the rest were considered as nondrinkers.For survival analysis, 260 patients were followed up. Among these follow-up cases, 24 (24/260, 9.2%) were excluded because of incomplete follow-up data. Survival time was calculated from the date of confirmed diagnosis until the date of the last follow-up or recurrence. The date of recurrence was obtained from inpatient and outpatient records or from patients’ families via follow-up telephone calls. The patients who did not suffer from recurrence on the last follow-up date were considered as non-recurrent.


### 2.3. DNA Extraction and Polymorphism Genotyping

Genomic DNA of each individual was extracted from 150μL of EDTA-anticoagulated peripheral blood samples by using a DNA extraction kit (Tiangen Biotech, Beijing, China) according to the manufacturer’s instructions. The TSP-1-1223 A/G polymorphism was genotyped using TaqMan single nucleotide polymorphism (SNP) genotyping assay (Applied Biosystems, Foster City, CA, USA). SDS 2.4 software was used for allelic discrimination. The primers, probes, and reaction conditions of each SNP are available upon request. For quality control, four negative controls were included in each plate, and 5% of the samples were randomly selected for repeated genotyping to verify the results; all of the results were 100% consistent.


### 2.4. Quantitative Real-Time PCR

Total RNA from 66 bladder cancer tissues was extracted using Trizol reagent (Invitrogen, Carlsbad, CA) according to the manufacturer’s protocol. Total RNA (1μg) was used for cDNA synthesis with oligo-dT primers (Invitrogen, Karlsruhe, Germany) and superscript II reverse transcriptase (Takara Bio, Shiga, Japan). PCR was performed using PCR Master (Roche, Mannheim, Germany) with the following primers: for TSP-1 mRNA, 5′-ACTGTCCATTCCATTACAACCCAGC-3′ (forward) and 5′-TGTCACACTGATCTCCAACCCCATCCA-3′ (reverse); and for β-actin, 5′-ACTGGAACGGTGAAGGTGAC-3′ (forward) and 5′-AGAGAAGTGGGGTGGCTTTT-3′ (reverse). Fold changes were normalised based on β-actin expression, and each assay was conducted in a 384-well ABI 7900HT real-time PCR system (Applied Biosystems, Foster City, CA, USA). This procedure was performed in triplicate.


### 2.5. Statistics Analysis

The frequency distributions of the selected demographic variables as well as each allele and genotype of theTSP-1-1223 A/G polymorphism between the cases and the control subjects were evaluated using χ2-type distribution. Hardy-Weinberg equilibrium (HWE) was determined using a goodness-of-fit χ2 test. Unconditional univariate and multivariate logistic regression analyses were conducted to calculate the crude and adjusted odds ratios (ORs) and 95% confidence intervals (CIs) to determine the risk of bladder cancer. Interaction was investigated using a multiplicative interaction term included in the multivariate model. To investigate potential interactions between the polymorphism and tobacco smoking, we assessed a multiplicative gene-environment interaction by logistic regression analysis, including the main effect variables and their product terms. Hazard ratios (HRs) and 95% CIs of the HRs were derived from univariate and multivariate Cox proportional hazard models. Survival curves were generated using the Kaplan-Meier method and compared using the log-rank-Mantel-Cox test. All of the analyses were carried out using SPSS 13.0. A two-sided P value <0.05 represented a statistically significant result.


## 2.1. Ethics Statement

The study was approved by the Institutional Review Board of the First Affiliated Hospital of Nanjing Medical University, Nanjing, China. During recruitment, written informed consent was obtained from all of the participants involved in this study.


## 2.2. Patients and Controls

The present study included 609 patients with bladder cancer and 670 age-matched control subjects from Han population living in Jiangsu and Anhui provinces in Eastern China. The patients with bladder cancer were recruited from July 2006 to July 2012 in the Department of Urology, the First Affiliated Hospital of Nanjing Medical University. The patients were excluded in this study according to the following: previous cancer, metastasised cancer from other or unknown origins, and previously subjected to radiotherapy or chemotherapy. Diagnosis of bladder cancer was confirmed by histopathological analysis. Cancer-free control individuals were frequency matched with the cancer patients in terms of age (±5 years) and gender. We also ensured that these control subjects were genetically unrelated to the cases. All of the control subjects were recruited from healthy individuals who were scheduled for a physical examination in the outpatient department at the same hospital. The control subjects were excluded if they manifested symptoms of bladder cancer, such as haematuria. Prior to recruitment, all of the subjects were personally interviewed to collect demographic data and clinical characteristics, including age, gender, race, tobacco use, alcohol use, and self-reported family history of cancer. According to the tumour, node, and metastasis classification of cancer stages (2002 International Union Against Cancer), the clinical stage at the time of diagnosis was classified into two subgroups: nonmuscle invasive group (pTa-pT1) and muscle invasive group (pT2-pT4). According to histopathological grade (WHO 1973, grading of urothelial papilloma), the patients were classified into three subgroups: grades 1, 2, and 3. Individuals who smoked daily for >1 year were defined as smokers and the rest were considered as nonsmokers. Individuals who drank alcohol at least three times per week for more than 6 months were defined as drinkers and the rest were considered as nondrinkers.For survival analysis, 260 patients were followed up. Among these follow-up cases, 24 (24/260, 9.2%) were excluded because of incomplete follow-up data. Survival time was calculated from the date of confirmed diagnosis until the date of the last follow-up or recurrence. The date of recurrence was obtained from inpatient and outpatient records or from patients’ families via follow-up telephone calls. The patients who did not suffer from recurrence on the last follow-up date were considered as non-recurrent.


## 2.3. DNA Extraction and Polymorphism Genotyping

Genomic DNA of each individual was extracted from 150μL of EDTA-anticoagulated peripheral blood samples by using a DNA extraction kit (Tiangen Biotech, Beijing, China) according to the manufacturer’s instructions. The TSP-1-1223 A/G polymorphism was genotyped using TaqMan single nucleotide polymorphism (SNP) genotyping assay (Applied Biosystems, Foster City, CA, USA). SDS 2.4 software was used for allelic discrimination. The primers, probes, and reaction conditions of each SNP are available upon request. For quality control, four negative controls were included in each plate, and 5% of the samples were randomly selected for repeated genotyping to verify the results; all of the results were 100% consistent.


## 2.4. Quantitative Real-Time PCR

Total RNA from 66 bladder cancer tissues was extracted using Trizol reagent (Invitrogen, Carlsbad, CA) according to the manufacturer’s protocol. Total RNA (1μg) was used for cDNA synthesis with oligo-dT primers (Invitrogen, Karlsruhe, Germany) and superscript II reverse transcriptase (Takara Bio, Shiga, Japan). PCR was performed using PCR Master (Roche, Mannheim, Germany) with the following primers: for TSP-1 mRNA, 5′-ACTGTCCATTCCATTACAACCCAGC-3′ (forward) and 5′-TGTCACACTGATCTCCAACCCCATCCA-3′ (reverse); and for β-actin, 5′-ACTGGAACGGTGAAGGTGAC-3′ (forward) and 5′-AGAGAAGTGGGGTGGCTTTT-3′ (reverse). Fold changes were normalised based on β-actin expression, and each assay was conducted in a 384-well ABI 7900HT real-time PCR system (Applied Biosystems, Foster City, CA, USA). This procedure was performed in triplicate.


## 2.5. Statistics Analysis

The frequency distributions of the selected demographic variables as well as each allele and genotype of theTSP-1-1223 A/G polymorphism between the cases and the control subjects were evaluated using χ2-type distribution. Hardy-Weinberg equilibrium (HWE) was determined using a goodness-of-fit χ2 test. Unconditional univariate and multivariate logistic regression analyses were conducted to calculate the crude and adjusted odds ratios (ORs) and 95% confidence intervals (CIs) to determine the risk of bladder cancer. Interaction was investigated using a multiplicative interaction term included in the multivariate model. To investigate potential interactions between the polymorphism and tobacco smoking, we assessed a multiplicative gene-environment interaction by logistic regression analysis, including the main effect variables and their product terms. Hazard ratios (HRs) and 95% CIs of the HRs were derived from univariate and multivariate Cox proportional hazard models. Survival curves were generated using the Kaplan-Meier method and compared using the log-rank-Mantel-Cox test. All of the analyses were carried out using SPSS 13.0. A two-sided P value <0.05 represented a statistically significant result.


## 3. Results

### 3.1. Characteristics of the Study Population

The frequency distributions of the selected characteristics of the cases and the control subjects are shown in Table1. The cases and the control subjects were adequately matched in terms of age and gender (P=0.486 for age and P=0.091 for gender). A higher number of smokers were found among the cases than the control subjects (47.9% versus 36.4%; P<0.001). No significant difference in drinking status was found between the cases and the control subjects (P=0.196). In addition, the frequency of the first-degree relatives with cancer was higher in the cases than in the control subjects (27.8% versus 7.2%; P<0.001). These variables were further adjusted in the multivariate logistic regression analysis to assess the main effect of the TSP-1-1223 A/G polymorphism on bladder cancer risk. The clinicopathological characteristics of 609 cases with bladder cancer are listed in Table 1.Table 1
Frequency distribution of selected variables of the bladder cancer cases and controls.
Variables
Cases (n=609)
Controls (n=670)
P
a
n
%
n
%
Age (year)
<65
289
47.5
331
49.4
0.486
≥65
320
52.5
339
50.6
Sex
Male
484
79.5
506
75.5
0.091
Female
125
20.5
164
24.5
Smoking status
Never
317
52.1
426
63.6
<0.001
Ever
292
47.9
244
36.4
Drinking status
No
418
68.6
482
71.9
0.196
Yes
191
31.4
188
28.1
Family history of cancer
No
440
72.2
622
92.8
<0.001
Yes
169
27.8
48
7.2
Tumor stage
Nonmuscle invasive
466
76.5
Muscle invasive
143
23.5
Tumor grade
Grade 1
298
48.9
Grade 2
194
31.9
Grade 3
117
19.2
aStudent’s t-test for age distribution between the cases and controls; two-sided χ2 test for other selected variables between the cases and controls.


### 3.2. Association betweenTSP-1-1223 A/G Polymorphism and Risk of Bladder Cancer

The genotype and allele frequency distributions of theTSP-1-1223 A/G polymorphism among the cases and the control subjects as well as their associations with the risk of bladder cancer are presented in Table 2. The genotype frequencies in the control subjects are consistent with those of HWE (P=0.851). The frequencies of AA, AG, and GG genotypes were 47.1%, 40.2%, and 12.6% among the cases and 43.9%, 44.5%, and 11.6% among the control subjects, respectively (P=0.307). No correlation was observed between TSP-1-1223 A/G polymorphism and the risk of bladder cancer. We further assessed the effect of TSP-1-1223 A/G polymorphism on the risk of bladder cancer risk stratified by age, gender, smoking status, drinking status, self-reported family history of cancer, and tumour grade and tumour stage (Tables 3, 4, and 5). Logistic regression analysis also showed no association between TSP-1-1223 A/G polymorphism and bladder cancer risk.Table 2
Genotype and allele frequencies of theTSP-1-1223 A/G polymorphism among the bladder cancer cases and controls.
Genotypes
Cases (n=609)
Controls (n=670)
P
a
Crude OR (95% CI)
P
b
Adjusted OR (95% CI)b
n
%
n
%
AA
287
47.1
294
43.9
1.00 (reference)
1.00 (reference)
AG
245
40.2
298
44.5
0.151
0.84 (0.66–1.07)
0.083
0.80 (0.62–1.03)
GG
77
12.6
78
11.6
0.951
1.01 (0.70–1.46)
0.603
1.11 (0.75–1.63)
AA
287
47.1
294
43.9
1.00 (reference)
1.00 (reference)
AG + GG
322
52.9
376
56.1
0.244
0.88 (0.70–1.10)
0.191
0.85 (0.67–1.08)
AG + AA
532
87.4
592
86.6
1.00 (reference)
1.00 (reference)
GG
77
12.6
78
13.4
0.583
1.10 (0.77–1.56)
0.330
1.20 (0.83–1.72)
A allele
819
67.2
886
66.1
G allele
399
32.8
454
33.9
0.548
CI: confidence interval; OR: odds ratio.
aTwo-sided χ2 test for either genotype distributions or allele frequencies between the cases and controls.
bAdjusted for age, gender, smoking, drinking status, and family history of cancer in logistic regression model.Table 3
Stratification analyses betweenTSP-1-1223 A/G polymorphism and risk of bladder cancer.
Variables
Genotypes (cases/controls)
Cases/controls
AA + AG
GG
P
a
Crude OR (95% CI)
P
b
Adjusted OR (95% CI)b
n
%
n
%
Total
Age (year)
<65
289/331
243/289
84.1/87.3
46/42
15.9/12.7
0.251
1.30 (0.81–2.10)
0.128
1.38 (0.86–2.25)
≥65
320/339
289/303
90.3/89.4
31/36
9.7/10.6
0.692
0.90 (0.53–1.55)
0.719
0.94 (0.55–1.61)
Sex
Male
484/506
423/457
87.4/90.3
61/49
12.6/9.7
0.144
1.34 (0.89–2.05)
0.127
1.39 (0.91–2.13)
Female
125/164
109/135
87.2/82.3
16/29
12.8/17.7
0.257
0.68 (0.33–1.38)
0.495
0.78 (0.38–1.60)
Smoking status
Never
317/426
278/377
87.7/88.5
39/49
12.3/11.5
0.738
1.08 (0.67–1.73)
0.381
1.25 (0.76–2.05)
Ever
292/244
254/215
86.6/88.1
38/29
13.4/11.9
0.694
1.11 (0.64–1.93)
0.747
1.10 (0.63–1.91)
Drinking status
No
418/482
367/423
87.8/87.8
51/59
12.2/12.2
0.986
1.00 (0.65–1.52)
0.644
1.11 (0.71–1.73)
Yes
191/188
165/169
86.4/89.9
26/19
13.6/10.1
0.291
1.40 (0.71–2.79)
0.396
1.34 (0.68–2.64)
Family history of cancer
No
440/622
385/547
87.5/87.9
55/75
12.5/12.1
0.829
1.04 (0.70–1.53)
0.558
1.12 (0.76–1.65)
Yes
169/48
147/45
87.0/93.7
22/3
13.0/6.3
0.195
2.24 (0.63–12.2)
0.284
2.02 (0.56–7.26)
CI: confidence interval; OR: odds ratio.
aTwo-sided χ2 test for either genotype distributions or allele frequencies between the cases and controls.
bAdjusted for age, gender, smoking, drinking status, and family history of cancer in logistic regression model.Table 4
The associations betweenTSP-1-1223 A/G polymorphism and the development of bladder cancer.
Variables
Genotypes
P
a
Crude OR (95% CI)
P
b
Adjusted OR (95% CI)b
AA + AG
GG
n
%
n
%
Controls (n=670)
592
88.4
78
11.6
1.00 (reference)
1.00 (reference)
Cases (n=609)
Tumor stage
Nonmuscle invasive
407
87.3
59
12.7
0.604
1.10 (0.75–1.60)
0.341
1.21 (0.82–1.79)
Muscle invasive
125
87.4
18
12.6
0.750
1.09 (0.59–1.92)
0.488
1.23 (0.68–2.22)
Tumor grade
Grade 1
264
88.6
34
11.4
0.917
0.98 (0.62–1.52)
0.842
1.05 (0.67–1.65)
Grade 2
168
86.6
26
13.4
0.507
1.17 (0.70–1.92)
0.271
1.35 (0.79–2.30)
Grade 3
100
85.5
17
14.5
0.376
1.29 (0.69–2.31)
0.158
1.58 (0.84–2.97)
Number
Single
384
88.1
52
11.9
0.886
1.03 (0.69–1.52)
0.550
1.13 (0.76–1.69)
Multiple
148
85.5
25
14.5
0.315
1.28 (0.75–2.12)
0.160
1.47 (0.86–2.50)
Size
<3 cm
345
88.2
46
11.8
0.952
1.01 (0.67–1.51)
0.800
1.06 (0.70–1.60)
≥3 cm
187
85.8
31
14.2
0.314
1.26 (0.78–2.00)
0.074
1.56 (0.96–2.55)
CI: confidence interval; OR: odds ratio.
aTwo-sided χ2 test for either genotype distributions or allele frequencies between the cases and controls.
bAdjusted for age, gender, smoking, drinking status, and family history of cancer in logistic regression model.Table 5
TSP-1-1223 A/G polymorphism and clinicopathological characteristics in patients with bladder cancer.
Clinicopathological characteristics
Genotypesn (%)
P
a
Adjusted OR (95% CI)a
AA + AG
GG
Tumor stage
Nonmuscle invasive
407 (87.3)
59 (12.7)
1.00 (reference)
Muscle invasive
125 (87.4)
18 (12.6)
0.979
1.01 (0.57–1.78)
Tumor grade
Grade 1
264 (88.6)
34 (11.4)
1.00 (reference)
Grade 2
168 (86.6)
26 (13.4)
0.440
1.26 (0.71–2.23)
Grade 3
100 (85.5)
17 (14.5)
0.294
1.43 (0.73–2.79)
Number
Single
384 (88.1)
52 (11.9)
1.00 (reference)
Multiple
148 (85.5)
25 (14.5)
0.433
1.23 (0.73–2.07)
Size
<3 cm
345 (88.2)
46 (11.8)
1.00 (reference)
≥3 cm
187 (85.8)
31 (14.2)
0.367
1.24 (0.74–2.08)
CI: confidence interval; OR: odds ratio.
aAdjusted for age, gender, smoking, drinking status, and family history of cancer in logistic regression model.


### 3.3. Interaction betweenTSP-1-1223 A/G Polymorphism and Tobacco Smoking

A significantly increased risk was observed in smokers with AA/AG genotypes compared with nonsmokers exhibiting AA/AG genotypes (P=0.001; ORs = 1.58; 95% CI = 1.20 to 2.10; Table 6). We then evaluated whether or not an interaction between smoking status and TSP-1-1223 A/G polymorphism status occurs. We did not observe a multiplicative interaction effect between polymorphism and smoking status (P=0.823; Table 6).Table 6
Interaction analyses of theTSP-1-1223 A/G polymorphism and tobacco smoking.
Smoking status
Genotypes
Cases
Controls
P
a
Crude OR (95% CI)a
P
b
Adjusted OR (95% CI)b
n
%
n
%
Nonsmokers
AA + AG
278
45.7
377
56.3
1.00 (reference)
1.00 (reference)
Nonsmokers
GG
39
6.4
49
7.3
0.738
1.08 (0.67–1.73)
0.381
1.25 (0.76–2.05)
Smokers
AA + AG
254
41.7
215
32.1
<0.001
1.60 (1.25–2.05)
0.001
1.58 (1.20–2.10)
Smokers
GG
38
6.2
29
4.3
0.025
1.78 (1.04–3.06)
0.158
1.52 (0.85–2.73)
P
Interaction (multiplicative)
0.823
CI: confidence interval; OR: odds ratio.
aTwo-sided χ2 test for either genotype distributions or allele frequencies between the cases and controls.
bAdjusted for age, gender, smoking, drinking status, and family history of cancer in logistic regression model.


### 3.4. Effects ofTSP-1-1223 A/G Polymorphism and Bladder Cancer Recurrence

We further investigated whether or notTSP-1-1223 A/G polymorphism is associated with the recurrence of bladder cancer. The demographic and clinical characteristics at primary diagnosis and the genotype distribution in patients with bladder cancer are shown in Table 7. The median follow-up duration for the 236 patients was 19 months (range, 1 month to 68 months). The mean time-to-recurrence was 20.8 months (95% CI = 17.2 to 24.3 months). Kaplan-Meier curves showed statistical difference between TSP-1-1223 A/G polymorphism and time-to-recurrence in bladder cancer (AA 20.5 months, 95% CI = 14.7 to 26.3; AG 22.2 months, 95% CI 15.6 to 28.7; GG 18.8 months, 95% CI 12.7–25.0; log-rank test, P=0.017, Figure 2). Compared with AA + AG genotypes, the GG genotype exhibited a significant recurrence risk of bladder cancer (HR = 2.07, 95% CI = 1.23 to 3.49, P=0.006), and the recurrence risk was more prominent among patients with the GG genotype (HR = 2.63, 95% CI = 1.43 to 4.83, P=0.002). The cases exhibiting AG + GG genotypes were also associated with an increased recurrence risk compared with the AA genotype (HR = 1.95, 95% CI = 1.20 to 3.19, P=0.007; Table 8).Table 7
Demographic and clinical characteristics at primary diagnosis and genotype distribution in patients with bladder cancer.
All
Genotypes
P
AA
AG
GG
N (%)
236
104 (44.1)
91 (38.6)
41 (17.4)
Sex (M/F)
190/46
87/17
73/18
30/11
0.356
Mean age at diagnosis (years)
63.79 (±12.78)
63.63 (±13.44)
63.78 (±12.02)
64.22 (±13.02)
0.969
Tumor stage
Nonmuscle invasive
184 (80.0)
84 (45.7)
69 (37.5)
31 (16.8)
Muscle invasive
52 (20.0)
20 (38.5)
22 (42.3)
10 (19.2)
0.653
Tumor grade
Grade 1
120 (50.8)
52 (43.3)
51 (42.5)
17 (14.2)
Grade 2
78 (33.1)
39 (50.0)
24 (30.8)
15 (19.2)
Grade 3
38 (16.1)
13 (34.2)
16 (42.1)
9 (23.7)
0.283
Number
Single
168 (71.2)
77 (45.8)
64 (38.1)
27 (16.1)
Multiple
68 (28.8)
27 (39.7)
27 (39.7)
14 (20.6)
0.602
Size
<3 cm
118 (75.9)
56 (47.5)
42 (35.6)
20 (16.9)
≥3 cm
118 (24.1)
48 (40.7)
49 (44.4)
21 (14.8)
0.555Table 8
Genotype and allele frequencies of theTSP-1-1223 A/G polymorphism among the bladder cancer cases with survival information.
Genotypes
Recurrence (n=78)
Nonrecurrence (n=158)
P
b
Adjusted HR (95% CI)b
n
%
n
%
AA
25
32.1
79
50.0
1.00 (reference)
AG
33
42.3
58
36.7
0.062
1.68 (0.97–2.88)
GG
20
25.6
21
13.3
0.002
2.63 (1.43–4.83)
AA
25
32.1
79
50.0
1.00 (reference)
AG + GG
53
67.9
79
50.0
0.007
1.95 (1.20–3.19)
AG + AA
58
74.4
137
86.7
1.00 (reference)
GG
20
25.6
21
13.3
0.006
2.07 (1.23–3.49)
A allele
83
53.2
216
63.4
G allele
73
46.8
100
36.6
P
a
=
0.001
CI: confidence interval; HR: hazard ratio.
aTwo-sided χ2 test for allele frequencies between the cases and controls.
bAdjusted for age, gender, smoking, drinking status, and family history of cancer in cox regression model.
The bold font refers to the statistical significance of result.


### 3.5. Association betweenTSP-1-1223 A/G Polymorphism and TSP-1 mRNA Expression

To evaluate the association betweenTSP-1-1223 A/G polymorphism and recurrence of bladder cancer, we examined whether or not the TSP-1-1223 A/G polymorphism was associated with an altered TSP-1 mRNA expression. No significant difference was observed in the relative TSP-1 mRNA expression level between patients with AA (n=23) and AG (n=28) genotypes (P=0.103). The patients with the GG genotype exhibited lower TSP-1 mRNA expression levels than those with AA genotype (n=15; P=0.002), although a significant overlap among the three groups was observed (Figure 1).Figure 1
Analysis ofTSP-1 mRNA expression levels in three groups of bladder cancer tissue samples with mean values (horizontal lines, mean values). **P<0.01 relative to AA genotype.Figure 2
Kaplan-Meier survival curves for recurrence among bladder cancer cases based onTSP-1-1223 A/G polymorphism genotypes. P values were calculated by log-rank tests.


## 3.1. Characteristics of the Study Population

The frequency distributions of the selected characteristics of the cases and the control subjects are shown in Table1. The cases and the control subjects were adequately matched in terms of age and gender (P=0.486 for age and P=0.091 for gender). A higher number of smokers were found among the cases than the control subjects (47.9% versus 36.4%; P<0.001). No significant difference in drinking status was found between the cases and the control subjects (P=0.196). In addition, the frequency of the first-degree relatives with cancer was higher in the cases than in the control subjects (27.8% versus 7.2%; P<0.001). These variables were further adjusted in the multivariate logistic regression analysis to assess the main effect of the TSP-1-1223 A/G polymorphism on bladder cancer risk. The clinicopathological characteristics of 609 cases with bladder cancer are listed in Table 1.Table 1
Frequency distribution of selected variables of the bladder cancer cases and controls.
Variables
Cases (n=609)
Controls (n=670)
P
a
n
%
n
%
Age (year)
<65
289
47.5
331
49.4
0.486
≥65
320
52.5
339
50.6
Sex
Male
484
79.5
506
75.5
0.091
Female
125
20.5
164
24.5
Smoking status
Never
317
52.1
426
63.6
<0.001
Ever
292
47.9
244
36.4
Drinking status
No
418
68.6
482
71.9
0.196
Yes
191
31.4
188
28.1
Family history of cancer
No
440
72.2
622
92.8
<0.001
Yes
169
27.8
48
7.2
Tumor stage
Nonmuscle invasive
466
76.5
Muscle invasive
143
23.5
Tumor grade
Grade 1
298
48.9
Grade 2
194
31.9
Grade 3
117
19.2
aStudent’s t-test for age distribution between the cases and controls; two-sided χ2 test for other selected variables between the cases and controls.


## 3.2. Association betweenTSP-1-1223 A/G Polymorphism and Risk of Bladder Cancer

The genotype and allele frequency distributions of theTSP-1-1223 A/G polymorphism among the cases and the control subjects as well as their associations with the risk of bladder cancer are presented in Table 2. The genotype frequencies in the control subjects are consistent with those of HWE (P=0.851). The frequencies of AA, AG, and GG genotypes were 47.1%, 40.2%, and 12.6% among the cases and 43.9%, 44.5%, and 11.6% among the control subjects, respectively (P=0.307). No correlation was observed between TSP-1-1223 A/G polymorphism and the risk of bladder cancer. We further assessed the effect of TSP-1-1223 A/G polymorphism on the risk of bladder cancer risk stratified by age, gender, smoking status, drinking status, self-reported family history of cancer, and tumour grade and tumour stage (Tables 3, 4, and 5). Logistic regression analysis also showed no association between TSP-1-1223 A/G polymorphism and bladder cancer risk.Table 2
Genotype and allele frequencies of theTSP-1-1223 A/G polymorphism among the bladder cancer cases and controls.
Genotypes
Cases (n=609)
Controls (n=670)
P
a
Crude OR (95% CI)
P
b
Adjusted OR (95% CI)b
n
%
n
%
AA
287
47.1
294
43.9
1.00 (reference)
1.00 (reference)
AG
245
40.2
298
44.5
0.151
0.84 (0.66–1.07)
0.083
0.80 (0.62–1.03)
GG
77
12.6
78
11.6
0.951
1.01 (0.70–1.46)
0.603
1.11 (0.75–1.63)
AA
287
47.1
294
43.9
1.00 (reference)
1.00 (reference)
AG + GG
322
52.9
376
56.1
0.244
0.88 (0.70–1.10)
0.191
0.85 (0.67–1.08)
AG + AA
532
87.4
592
86.6
1.00 (reference)
1.00 (reference)
GG
77
12.6
78
13.4
0.583
1.10 (0.77–1.56)
0.330
1.20 (0.83–1.72)
A allele
819
67.2
886
66.1
G allele
399
32.8
454
33.9
0.548
CI: confidence interval; OR: odds ratio.
aTwo-sided χ2 test for either genotype distributions or allele frequencies between the cases and controls.
bAdjusted for age, gender, smoking, drinking status, and family history of cancer in logistic regression model.Table 3
Stratification analyses betweenTSP-1-1223 A/G polymorphism and risk of bladder cancer.
Variables
Genotypes (cases/controls)
Cases/controls
AA + AG
GG
P
a
Crude OR (95% CI)
P
b
Adjusted OR (95% CI)b
n
%
n
%
Total
Age (year)
<65
289/331
243/289
84.1/87.3
46/42
15.9/12.7
0.251
1.30 (0.81–2.10)
0.128
1.38 (0.86–2.25)
≥65
320/339
289/303
90.3/89.4
31/36
9.7/10.6
0.692
0.90 (0.53–1.55)
0.719
0.94 (0.55–1.61)
Sex
Male
484/506
423/457
87.4/90.3
61/49
12.6/9.7
0.144
1.34 (0.89–2.05)
0.127
1.39 (0.91–2.13)
Female
125/164
109/135
87.2/82.3
16/29
12.8/17.7
0.257
0.68 (0.33–1.38)
0.495
0.78 (0.38–1.60)
Smoking status
Never
317/426
278/377
87.7/88.5
39/49
12.3/11.5
0.738
1.08 (0.67–1.73)
0.381
1.25 (0.76–2.05)
Ever
292/244
254/215
86.6/88.1
38/29
13.4/11.9
0.694
1.11 (0.64–1.93)
0.747
1.10 (0.63–1.91)
Drinking status
No
418/482
367/423
87.8/87.8
51/59
12.2/12.2
0.986
1.00 (0.65–1.52)
0.644
1.11 (0.71–1.73)
Yes
191/188
165/169
86.4/89.9
26/19
13.6/10.1
0.291
1.40 (0.71–2.79)
0.396
1.34 (0.68–2.64)
Family history of cancer
No
440/622
385/547
87.5/87.9
55/75
12.5/12.1
0.829
1.04 (0.70–1.53)
0.558
1.12 (0.76–1.65)
Yes
169/48
147/45
87.0/93.7
22/3
13.0/6.3
0.195
2.24 (0.63–12.2)
0.284
2.02 (0.56–7.26)
CI: confidence interval; OR: odds ratio.
aTwo-sided χ2 test for either genotype distributions or allele frequencies between the cases and controls.
bAdjusted for age, gender, smoking, drinking status, and family history of cancer in logistic regression model.Table 4
The associations betweenTSP-1-1223 A/G polymorphism and the development of bladder cancer.
Variables
Genotypes
P
a
Crude OR (95% CI)
P
b
Adjusted OR (95% CI)b
AA + AG
GG
n
%
n
%
Controls (n=670)
592
88.4
78
11.6
1.00 (reference)
1.00 (reference)
Cases (n=609)
Tumor stage
Nonmuscle invasive
407
87.3
59
12.7
0.604
1.10 (0.75–1.60)
0.341
1.21 (0.82–1.79)
Muscle invasive
125
87.4
18
12.6
0.750
1.09 (0.59–1.92)
0.488
1.23 (0.68–2.22)
Tumor grade
Grade 1
264
88.6
34
11.4
0.917
0.98 (0.62–1.52)
0.842
1.05 (0.67–1.65)
Grade 2
168
86.6
26
13.4
0.507
1.17 (0.70–1.92)
0.271
1.35 (0.79–2.30)
Grade 3
100
85.5
17
14.5
0.376
1.29 (0.69–2.31)
0.158
1.58 (0.84–2.97)
Number
Single
384
88.1
52
11.9
0.886
1.03 (0.69–1.52)
0.550
1.13 (0.76–1.69)
Multiple
148
85.5
25
14.5
0.315
1.28 (0.75–2.12)
0.160
1.47 (0.86–2.50)
Size
<3 cm
345
88.2
46
11.8
0.952
1.01 (0.67–1.51)
0.800
1.06 (0.70–1.60)
≥3 cm
187
85.8
31
14.2
0.314
1.26 (0.78–2.00)
0.074
1.56 (0.96–2.55)
CI: confidence interval; OR: odds ratio.
aTwo-sided χ2 test for either genotype distributions or allele frequencies between the cases and controls.
bAdjusted for age, gender, smoking, drinking status, and family history of cancer in logistic regression model.Table 5
TSP-1-1223 A/G polymorphism and clinicopathological characteristics in patients with bladder cancer.
Clinicopathological characteristics
Genotypesn (%)
P
a
Adjusted OR (95% CI)a
AA + AG
GG
Tumor stage
Nonmuscle invasive
407 (87.3)
59 (12.7)
1.00 (reference)
Muscle invasive
125 (87.4)
18 (12.6)
0.979
1.01 (0.57–1.78)
Tumor grade
Grade 1
264 (88.6)
34 (11.4)
1.00 (reference)
Grade 2
168 (86.6)
26 (13.4)
0.440
1.26 (0.71–2.23)
Grade 3
100 (85.5)
17 (14.5)
0.294
1.43 (0.73–2.79)
Number
Single
384 (88.1)
52 (11.9)
1.00 (reference)
Multiple
148 (85.5)
25 (14.5)
0.433
1.23 (0.73–2.07)
Size
<3 cm
345 (88.2)
46 (11.8)
1.00 (reference)
≥3 cm
187 (85.8)
31 (14.2)
0.367
1.24 (0.74–2.08)
CI: confidence interval; OR: odds ratio.
aAdjusted for age, gender, smoking, drinking status, and family history of cancer in logistic regression model.


## 3.3. Interaction betweenTSP-1-1223 A/G Polymorphism and Tobacco Smoking

A significantly increased risk was observed in smokers with AA/AG genotypes compared with nonsmokers exhibiting AA/AG genotypes (P=0.001; ORs = 1.58; 95% CI = 1.20 to 2.10; Table 6). We then evaluated whether or not an interaction between smoking status and TSP-1-1223 A/G polymorphism status occurs. We did not observe a multiplicative interaction effect between polymorphism and smoking status (P=0.823; Table 6).Table 6
Interaction analyses of theTSP-1-1223 A/G polymorphism and tobacco smoking.
Smoking status
Genotypes
Cases
Controls
P
a
Crude OR (95% CI)a
P
b
Adjusted OR (95% CI)b
n
%
n
%
Nonsmokers
AA + AG
278
45.7
377
56.3
1.00 (reference)
1.00 (reference)
Nonsmokers
GG
39
6.4
49
7.3
0.738
1.08 (0.67–1.73)
0.381
1.25 (0.76–2.05)
Smokers
AA + AG
254
41.7
215
32.1
<0.001
1.60 (1.25–2.05)
0.001
1.58 (1.20–2.10)
Smokers
GG
38
6.2
29
4.3
0.025
1.78 (1.04–3.06)
0.158
1.52 (0.85–2.73)
P
Interaction (multiplicative)
0.823
CI: confidence interval; OR: odds ratio.
aTwo-sided χ2 test for either genotype distributions or allele frequencies between the cases and controls.
bAdjusted for age, gender, smoking, drinking status, and family history of cancer in logistic regression model.


## 3.4. Effects ofTSP-1-1223 A/G Polymorphism and Bladder Cancer Recurrence

We further investigated whether or notTSP-1-1223 A/G polymorphism is associated with the recurrence of bladder cancer. The demographic and clinical characteristics at primary diagnosis and the genotype distribution in patients with bladder cancer are shown in Table 7. The median follow-up duration for the 236 patients was 19 months (range, 1 month to 68 months). The mean time-to-recurrence was 20.8 months (95% CI = 17.2 to 24.3 months). Kaplan-Meier curves showed statistical difference between TSP-1-1223 A/G polymorphism and time-to-recurrence in bladder cancer (AA 20.5 months, 95% CI = 14.7 to 26.3; AG 22.2 months, 95% CI 15.6 to 28.7; GG 18.8 months, 95% CI 12.7–25.0; log-rank test, P=0.017, Figure 2). Compared with AA + AG genotypes, the GG genotype exhibited a significant recurrence risk of bladder cancer (HR = 2.07, 95% CI = 1.23 to 3.49, P=0.006), and the recurrence risk was more prominent among patients with the GG genotype (HR = 2.63, 95% CI = 1.43 to 4.83, P=0.002). The cases exhibiting AG + GG genotypes were also associated with an increased recurrence risk compared with the AA genotype (HR = 1.95, 95% CI = 1.20 to 3.19, P=0.007; Table 8).Table 7
Demographic and clinical characteristics at primary diagnosis and genotype distribution in patients with bladder cancer.
All
Genotypes
P
AA
AG
GG
N (%)
236
104 (44.1)
91 (38.6)
41 (17.4)
Sex (M/F)
190/46
87/17
73/18
30/11
0.356
Mean age at diagnosis (years)
63.79 (±12.78)
63.63 (±13.44)
63.78 (±12.02)
64.22 (±13.02)
0.969
Tumor stage
Nonmuscle invasive
184 (80.0)
84 (45.7)
69 (37.5)
31 (16.8)
Muscle invasive
52 (20.0)
20 (38.5)
22 (42.3)
10 (19.2)
0.653
Tumor grade
Grade 1
120 (50.8)
52 (43.3)
51 (42.5)
17 (14.2)
Grade 2
78 (33.1)
39 (50.0)
24 (30.8)
15 (19.2)
Grade 3
38 (16.1)
13 (34.2)
16 (42.1)
9 (23.7)
0.283
Number
Single
168 (71.2)
77 (45.8)
64 (38.1)
27 (16.1)
Multiple
68 (28.8)
27 (39.7)
27 (39.7)
14 (20.6)
0.602
Size
<3 cm
118 (75.9)
56 (47.5)
42 (35.6)
20 (16.9)
≥3 cm
118 (24.1)
48 (40.7)
49 (44.4)
21 (14.8)
0.555Table 8
Genotype and allele frequencies of theTSP-1-1223 A/G polymorphism among the bladder cancer cases with survival information.
Genotypes
Recurrence (n=78)
Nonrecurrence (n=158)
P
b
Adjusted HR (95% CI)b
n
%
n
%
AA
25
32.1
79
50.0
1.00 (reference)
AG
33
42.3
58
36.7
0.062
1.68 (0.97–2.88)
GG
20
25.6
21
13.3
0.002
2.63 (1.43–4.83)
AA
25
32.1
79
50.0
1.00 (reference)
AG + GG
53
67.9
79
50.0
0.007
1.95 (1.20–3.19)
AG + AA
58
74.4
137
86.7
1.00 (reference)
GG
20
25.6
21
13.3
0.006
2.07 (1.23–3.49)
A allele
83
53.2
216
63.4
G allele
73
46.8
100
36.6
P
a
=
0.001
CI: confidence interval; HR: hazard ratio.
aTwo-sided χ2 test for allele frequencies between the cases and controls.
bAdjusted for age, gender, smoking, drinking status, and family history of cancer in cox regression model.
The bold font refers to the statistical significance of result.


## 3.5. Association betweenTSP-1-1223 A/G Polymorphism and TSP-1 mRNA Expression

To evaluate the association betweenTSP-1-1223 A/G polymorphism and recurrence of bladder cancer, we examined whether or not the TSP-1-1223 A/G polymorphism was associated with an altered TSP-1 mRNA expression. No significant difference was observed in the relative TSP-1 mRNA expression level between patients with AA (n=23) and AG (n=28) genotypes (P=0.103). The patients with the GG genotype exhibited lower TSP-1 mRNA expression levels than those with AA genotype (n=15; P=0.002), although a significant overlap among the three groups was observed (Figure 1).Figure 1
Analysis ofTSP-1 mRNA expression levels in three groups of bladder cancer tissue samples with mean values (horizontal lines, mean values). **P<0.01 relative to AA genotype.Figure 2
Kaplan-Meier survival curves for recurrence among bladder cancer cases based onTSP-1-1223 A/G polymorphism genotypes. P values were calculated by log-rank tests.


## 4. Discussion

In the present study, the association between -1223 A/G polymorphism inTSP-1 gene (rs2169830) and risk of bladder cancer was investigated. The results do not indicate that the genotypes of the TSP-1-1223 A/G polymorphism are associated with an increased bladder cancer incidence. However, the time-to-recurrence was significantly shorter in G allele carriers than that in individuals with a homozygous AA genotype. Patients with the AG/GG genotypes have 1.95 times greater risk of the recurrence of bladder cancer than those with the AA genotype (P=0.007). Furthermore, individuals with the GG genotype exhibited a higher risk of recurrence than those with the AA genotype (OR = 2.63, P=0.002). To the best of our knowledge, this study is the first to investigate the function of the TSP-1-1223 A/G polymorphism in the aetiology of bladder cancer.TSP-1 has been implicated in tumour growth and progression by regulating cell adhesion [23], motility [24], proliferation [25], and angiogenesis [26]. As a multifunctional protein involved in tumour growth regulation, TSP-1 elicits an inhibitory effect on the growth of various malignancies such as melanoma [27], prostate cancer [28], cutaneous squamous cell carcinoma [29], and glioblastoma [30]. Strong evidence has also suggested that TSP-1 may stimulate lung cancer [31] and breast cancer [32].A previous study identified that TSP-1, secreted by normal urothelium cells, is responsible for antiangiogenic activity [33]. Angiogenesis is associated with an increased recurrence risk of bladder cancer [34]. The downregulation of TSP-1 in bladder cancer is considered as a primary factor contributing to specific changes, for instance, from an antiangiogenic to an angiogenic phenotype during cancer development and recurrence [17, 18, 33].Most of theTSP-1 SNPs have only been observed in cardiac disease [20, 21]; no studies have been shown to provide a relationship between TSP-1 gene polymorphism and cancer. In our study, the GG/AG genotypes of the TSP-1-1223 A/G polymorphism in bladder cancer were associated with a shorter time-to-recurrence than the AA genotype. Individuals carrying the lower production genotype of TSP-1-1223 A/G polymorphism possibly possess an enhanced ability to promote the recurrence of bladder cancer.Using the program TFSEARCH, we found that the G allele ofTSP-1-1223 A/G polymorphism was located in the consensus DNA sequence TGTGGT. The DNA sequence was a potential transcription regulation region, which can be recognised by AML1-a [35, 36]. However, any transcriptional factor was not bound to the sequence TGTGAT containing the A allele of the TSP-1-1223 A/G polymorphism. Furthermore, AML1-a participates as a transcription inhibitor by suppressing the transcriptional activation of AML1-b [37]. Thus, we cautiously speculated that AML1-a binds to the consensus sequence (TGTGGT) of the G allele in the TSP-1-1223 A/G polymorphism, thereby suppressing the transcription of TSP-1.A previous study revealed that TSP-1 can suppress VEGF mobilisation from the extracellular matrix by inhibiting the activity of MMP-9 [38]. TSP-1 can also inhibit the activity of VEGF by interacting directly with VEGF [39]. The possible mechanism between angiogenesis and bladder cancer recurrence has been related to an increased VEGF expression level, which serves as a major factor in angiogenesis [40]. The increased expression level of VEGF was implicated in the pathogenesis of bladder cancer recurrence by promoting the growth and implantation of a bladder cancer cell via angiogenesis [41]. Conversely, decreased TSP-1 may be associated with an increased risk of bladder cancer recurrence via the inhibitory effect of TSP-1 on VEGF-mediated tumour angiogenesis.In the current study, the expression level ofTSP-1 mRNA in bladder cancer samples was lower in patients with heterozygous G allele than those with homozygous A allele. The expression level of TSP-1 mRNA was the lowest in individuals with homozygous G allele. As such, the shorter time-to-recurrence in patients with bladder cancer exhibiting a G allele may be attributed to a decreased TSP-1 expression, which has been associated with an increased risk of disease recurrence and a decreased overall survival by promoting tumour neovascularization [17, 18, 34]. Our results partly supported our hypothesis; however, further functional experiments should be conducted to validate the specific mechanism.Several potential limitations are observed in the present study. First, our sample size was relatively small, which may limit the statistical power of our study, particularly for gene-environment interaction analyses. Second, our study was a hospital-based case-control study; hence, we cannot rule out the possibility of selection bias for subjects who may have been associated with a particular genotype.In conclusion, our study shows that G allele inTSP-1-1223 A/G polymorphism may modulate the risk of recurrence in bladder cancer. A lack of association between TSP-1-1223 A/G polymorphism and risk of bladder cancer was observed in our population. Nevertheless, a possible function of this polymorphism in other cancers or in other bladder cancer populations should be considered. Hence, additional studies should be conducted to confirm the specific function of TSP-1-1223 A/G polymorphism in bladder cancer development.



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*Source: 473242-2013-12-03.xml*