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  • Research article
  • Open Access
  • Open Peer Review

Association of vitamin D receptor polymorphisms with the risk of prostate cancer in the Han population of Southern China

  • †1,
  • †2,
  • 2,
  • 2,
  • 4,
  • 3,
  • 1,
  • 1,
  • 3 and
  • 1Email author
†Contributed equally
BMC Medical Genetics200910:125

https://doi.org/10.1186/1471-2350-10-125

©  Bai et al; licensee BioMed Central Ltd. 2009

  • Received: 8 April 2009
  • Accepted: 4 December 2009
  • Published:
Open Peer Review reports

Abstract

Background

Molecular epidemiological studies have shown that gene polymorphisms of vitamin D receptor (VDR) are associated with prostate cancer risks. However, previous results from many molecular studies remain inconsistent.

Methods

Blood samples were collected from 122 prostate cancer patients and 130 age-matched control subjects in the Han population of Southern China. The differences of VDR gene polymorphism between cancer cases and controls were determined by PCR-RFLP, examiming FokI (exon 2), BsmI, Tru9I, ApaI (intron 9), and TaqI (exon 9). Associations between the VDR gene polymorphism and prostate cancer risk were calculated in an unconditional logistic regression model. Linkage disequilibrium and haplotypes were analyzed with the SHEsis software.

Results

Of five polymorphisms, BsmI was shown to associate with prostate cancer, while FokI, Tru9I, ApaI, and TaqI did not show any significant association. After adjustment for age, the BsmI 'B' allele was associated with an almost 1/3-fold risk (OR = 0.35, 95%CI: 0.15-0.80) of the occurrence of prostate cancer, a 1/5-fold risk (OR = 0.20, 95%CI: 0.06-0.68) of poorly differentiated prostate cancer, and a 1/10-fold risk (OR = 0.10, 95%CI: 0.01-0.78) of aggressive prostate cancer compared with the 'b' allele, especially among older men (>71 years). In addition, haplotype analysis revealed that the 'F-b-U-A-T' was more frequent found in cases than in controls (3.4% vs 0.0%, P = 0.0035), while the frequency of haplotype 'F-B-U-a-T' was 0.8% in cases, significantly lower than in controls (3.9%, P = 0.019).

Conclusion

Our experiments provide evidences that genetic polymorphisms in the VDR gene may be potential risk factors for prostate cancer in the Han population of southern China and the susceptibility to prostate cancer is associated with ethnicity and geographic location.

Keywords

  • Prostate Cancer
  • Prostate Cancer Patient
  • Prostate Cancer Risk
  • Prostate Cancer Case
  • Wenzhou Medical College

Background

Prostate cancer is the most common type of tumor in old men throughout the world. In 2003, about 220,900 new cases of prostate cancer were diagnosed in the United States [1]. Although epidemiological studies showed that the incidence of prostate cancer in Asians is much lower than that in African-Americans [2], the occurrence of this disease has rapidly increased among Chinese men [3]. In the Shanghai population, the incidence was 1.9/10 million in 1983, but it increased to 21.08/10 million in 2005 [4]. The incidence rate in Beijing was similar to that of Shanghai [5]. Age, race, and geographical factors are well-established risk factors of prostate cancer [6]. However, these factors may not completely explain the differences between different ethnic groups in prostate cancer rates. Therefore, genetic variation in certain genes, including genes controlling vitamin D activity, could play a role in determination of susceptibility to prostate cancer.

Based on investigations of the differences in prostate cancer incidence at different latitudes in the United States, Schwartz et al. [7, 8] hypothesized that low ultraviolet exposure may be a risk factor for prostate cancer. After exposure to UV radiation, vitamin D is produced in the skin and then hydroxylated in the liver to 25-hydroxyvitamin D3, and in the kidneys to the more physiologically active metabolite 1α,25-dihydroxyvitamin D3 [1,25(OH)2D3]. The biological activity of 1,25(OH)2D3 is mediated primarily by vitamin D receptor (VDR). In addition to kidney and bone cells, VDR [9] is also expressed in human prostatic cells, and a series of experiments revealed that VDR mediates the influence of 1,25(OH)2D3 on the growth, differentiation [10, 11], and apoptosis [12] of prostatic cells. These findings indicated that 1,25(OH)2D3 and its specific nuclear receptor protein, VDR, may be closely associated with prostate cancer risk.

The expression and function of VDR may be influenced by VDR gene polymorphisms. Polymorphisms (intron 8, exon 9, and polyA microsatellite, Figure 1) in the 3' end may correlate with gene transcription [13]. In exon 2 of 5' end, the FokI F allele may lack the first start codon [14], resulting in a VDR protein that is shortened by three amino acids [15]. This protein variant was shown to be more efficient at transactivating a vitamin D-regulated target gene [16]. Polymorphic variants of the VDR gene have been suggested to be associated with prostate cancer risk and/or a more aggressive phenotype [17, 18]. Gene polymorphisms have been reported to be of significant relevance with cancer risk in many different populations [17–26]. Since there is a series of VDR gene polymorphisms that are in strong linkage disequilibrium with one another, some VDR haplotypes have also been reported to be linked with prostate cancer [27, 28]. However, other studies [29–33] did not show such significant associations. The inconsistent results were probably due to differences in the study populations [20, 22].
Figure 1
Figure 1

Positions of polymorphisms in the vitamin D receptor gene.

In this report, we carried out a population-based, case-control study to evaluate the association between VDR gene polymorphisms and prostate cancer risk in the Han population of Southern China because one salient characteristic of China's population has a large base with diverse genetic backgrounds. The present study can provide a platform to help explain the pathological mechanism of prostate cancer and to a better understanding of the geographic and ethnic differences associated with disease incidence and mortality.

Methods

Subjects

In the present study, 122 prostate cancer patients and 130 age-matched male controls were enrolled in four hospitals in southern China between March 2007 and August 2008. All prostate cancer cases were confirmed by pathological examination. The pathologic grades were classified according to the Gleason score as well and moderately differentiated (Gleason 2-6) and poorly differentiated (Gleason 7-10) [34]. Based on the TNM classification system promulgated by the American Joint Committee on Cancer, the disease stage was divided into localized and aggressive cancer, as determined by transrectal ultrasound, magnetic resonance imaging (MRI) and emission computed tomography (ECT). Localized prostate cancer can be detectable clinically or felt (palpated) on examination, but has not spread outside the prostate. Aggressive cancer means the cancer has spread through the prostatic capsule (eg, bladder neck, external sphincter, rectum, and levator muscles) and even has invaded other nearby structures (eg, bone and pancreas).

The age-matched control subjects were individuals recruited from retired employees at the First Affiliated Hospital of Wenzhou Medical College. The controls were screened to ensure that there had never been diagnosed with cancer and had low plasma prostate-specific antigen (PSA) levels (total PSA<4.00 ng/ml). The controls were also checked for cancer history based on their past medical records and/or asked directly for their cancer history.

All subjects were informed about the contents of the study and gave their informed consent. This study was approved by the Ethics Committee of Wenzhou Medical College.

Molecular analysis

Blood samples were collected with the anticoagulant EDTA K2 and stored at -20°C. Genomic DNA was extracted using a DNA Extraction Kit (TaKaRa Bio Group, Japan) and stored at 4°C. VDR polymorphisms were genotyped by PCR-RFLP and the condition was displayed in the Table 1. To control the experiments, a total of 80 samples were randomly selected and genotyped and confirmed by DNA sequencing by a second investigator.
Table 1

PCR-RFLP conditions for VDR gene polymorphisms (GenBank AY342401)

SNP

Primer

Base change

Annealing temperature

Restriction enzyme

FokI

5'AGCTGGCCCTGGCACTGACTCTGCTCT3'(F)

C/T

61°C

Fok I

 

5'ATGGAAACACCTTGCTTCTTCTCCCTC 3'(R)

   

BsmI

5'CAACCAAGACTACAAGTACCGCGTCAGTGA3'(F)

G/A

57°C

Mva1269 I

 

5'AACCAGCGGGAAGAGGTCAAGGG3'(R)

   

Tru9I

5'CAACCAAGACTACAAGTACCGCGTCAGTGA3'(F)

G/A

57°C

Tru1 I

 

5'AACCAGCGGGAAGAGGTC AAGGG3'(R)

   

ApaI

5'CAGAGCATGGACAGGGAGCAA3'(F)

G/T

60°C

Apa I

 

5'GCAACTCCTCATGGCTGAGGTCTC3'(R)

   

TaqI

5'CAGAGCATGGACAGGGAGCAA3'(F)

T/C

60°C

Taq I

 

5'GCAACTCCTCATGGCTGAGGTCTC3'(R)

   

FokI, BsmI, Tru9I, ApaI, and TaqI, are reported according to the standard nomenclature in which lowercase and uppercase letters indicate the presence or absence of a restriction site, respectively. The FokI T and C alleles are represented by f and F, the BsmI G and A alleles by b and B, the Tru9I G and A alleles by U and u, the ApaI T and G alleles by A and a, and the TaqI T and C alleles by T and t, respectively.

Statistical analysis

Tests for Hardy-Weinberg equilibrium were performed separately for each SNP among case and control subjects. The Independent-Samples T test was used to determine differences according to age, and the chi-square or Fisher's exact test was performed to calculate the clinical parametric distributions. Unconditional logistic regression analysis models were used to evaluate the relationships between different genotypes and disease risk [Odds ratios (OR), 95% confidence intervals (95% CI)] adjusted by age. Linkage disequilibrium and haplotypes were analyzed with the SHEsis software [35]. A p-value of less than 0.05 was considered as statistically significant.

Results and Discussion

The worldwide incidence of clinical prostate cancer shows a strong dependence on age, race, and geography. For example the incidence in African-Americans was significantly higher than that in Asians, especially in the Chinese population. Recent epidemiological studies in different populations have indicated that difference in VDR genotype frequencies may play an important role in the risk of prostate cancer. In the present study, we evaluated the association between five polymorphisms in the VDR gene and prostate cancer risk in the southern Chinese Han population.

Table 2 shows the demographic and clinical characteristics of the subjects (122 prostate cancer patients and 130 non-cancer controls). No significant differences in age, smoking status, or alcohol intake were observed between cases and controls. In the present study, five polymorphisms, including FokI at the 5' end of exon 2, and BsmI, Tru9I, ApaI, and TaqI in the 3'UTR region, were evaluated, and each SNP was in Hardy-Weinberg equilibrium. Statistical analysis revealed a significant difference in the allelic frequencies of the BsmI genotype (Table 3), while other polymorphisms did not show any significant differences. Compared with BsmI 'bb', subjects with 'BB' and 'Bb' genotypes were associated with a decreased risk (OR = 0.35, 95%CI: 0.15-0.81, P = 0.015). The BsmI 'B' allelic frequency was 3.7% in cancer patients, which was significantly lower than that of controls (8.5%), indicating a decreased disease risk associated with this allele (OR = 0.35, 95%CI: 0.15-0.80, P = 0.013). To evaluate the association modified by the age, we stratified the age to two groups (>71 and ≦71 years). Among the elderly men, the OR value for the "B" allele was 0.09 (95%CI: 0.01-0.68) versus the "b" allele (Table 4), and the OR value was 0.64 (95%CI: 0.25-1.66) among the younger men, suggesting that the elder men with the "B" allele had lower risk of prostate cancer. In addition, when stratifying our material according to Gleason score and TNM classification, a number of significant results were found. The 'B' allele (compared to the 'b' allele) was also associated with a decreased risk of aggressive (OR = 0.10, 95%CI: 0.01-0.78, P = 0.028) and poorly differentiated cancer (OR = 0.20, 95%CI: 0.06-0.68, P = 0.010, Table 4). Considering the number of cases with the variant allele for most of these strata is too small, and future research needs to further expand the sample size to confirm these results.
Table 2

Clinic and demographic characteristics of the subjects

 

Cases (n = 122)

Controls (n = 130)

OR(95%CI)

P value

Ages at diagnosis (year)a

71.77 ± 8.12

71.28 ± 7.86

 

0.632

< 60

11 (9.0%)

11 (8.5%)

  

60~69

33 (27.1%)

42 (32.3%)

  

70~79

56 (45.9%)

59 (45.4%)

  

≥ 80

22 (18.0%)

18 (13.8%)

  

Smoking status b

    

Nonsmoking

82 (67.2%)

91(70.0%)

1.138(0.668-1.939)

0.634

Smoking

40 (32.8%)

39(30.0%)

  

Alcohol intake b

    

No alcohol

62 (50.8%)

69 (53.1%)

1.095(0.668-1.795)

0.720

Drinking

60 (49.2%)

61 (46.9%)

  

Gleason score

    

< 7

43 (35.2%)

   

≥ 7

79 (64.8%)

   

TNM classification

    

Localized

72 (59.0%)

   

Aggressive

50 (41.0%)

   

a, Data are expressed as mean ± standard deviation (SD), P values are calculated using unpaired t-test;

b, Based on chi-square test.

Table 3

Distribution of VDR genotypes and alleles between prostate cancer cases and controls

  

Cases (freq)

Controls (freq)

OR(95%CI)

P value

FokI

FF

33 (0.270)

38 (0.292)

1.00(referent)

 
 

Ff

63 (0.517)

55 (0.423)

1.317(0.730-2.376)

0.361

 

ff

26 (0.213)

37 (0.285)

0.815(0.411-1.620)

0.560

 

F

129 (0.529)

131 (0.504)

1.00(referent)

 
 

f

115 (0.471)

129 (0.496)

0.910(0.641-1.291)

0.597

BsmI

bb

114 (0.934)

108 (0.831)

1.00(referent)

 
 

Bb

8 (0.066)

21 (0.162)

0.362(0.154-0.853)

0.020

 

BB *

0 (0)

1 (0.008)

-

-

 

b

236 (0.964)

237 (0.912)

1.00(referent)

 
 

B

8 (0.036)

23 (0.088)

0.351(0.154-0.800)

0.013

Tru9I

UU

76 (0.623)

78 (0.600)

1.00(referent)

 
 

Uu

41 (0.336)

47 (0.362)

0.902(0.533-1.525)

0.699

 

uu

5 (0.041)

5 (0.038)

1.039(0.289-3.742)

0.953

 

U

193 (0.791)

203 (0.781)

1.00(referent)

 
 

u

51 (0.209)

57 (0.219)

0.947(0.618-1.452)

0.804

ApaI

AA

10 (0.082)

9 (0.069)

1.00(referent)

 
 

Aa

56 (0.459)

61 (0.469)

0.800(0.300-2.128)

0.654

 

aa

56 (0.459)

60 (0.462)

0.810(0.304-2.160)

0.673

 

A

76 (0.311)

79 (0.304)

1.00(referent)

 
 

a

168 (0.689)

181 (0.696)

0.956(0.654-1.397)

0.814

TaqI

TT

112 (0.918)

121 (0.931)

1.00(referent)

 
 

Tt

10 (0.082)

9 (0.069)

1.213(0.475-3.098)

0.687

 

tt

0 (0)

0 (0)

-

-

 

T

234 (0.959)

251 (0.965)

1.00(referent)

 
 

t

10 (0.041)

9 (0.035)

1.204(0.480-3.016)

0.693

*, Genotype (BB+Bb) vs bb, OR age-adjusted = 0.346, 95%CI: 0.148-0.811, P = 0.015.

Table 4

Age-adjusted ORs and P value in different kinds of patients compared with controls by BsmI polymorphisms

  

Pathological grade

Clinic stage

Age stratification (years)*

 

Controls

Well-mod

OR(95%CI)

Poorly

OR(95%CI)

Localized

OR(95%CI)

Aggressive

OR(95%CI)

>71

OR(95%CI)

≦71

OR(95%CI)

bb

108

38

1.00(referent)

76

1.00(referent)

65

1.00(referent)

49

1.00(referent)

62

1.00(referent)

52

1.00(referent)

Bb

21

5

1.44(0.51-4.11)

3

0.20(0.06-0.71)

7

0.56(0.23-1.40)

1

0.11(0.01-0.81)

1

0.08(0.01-0.64)

7

0.73(0.26-2.04)

BB

1

0

 

0

 

0

 

0

 

0

 

0

 

Bb+ BB

22

5

0.97(0.93-1.02)

3

0.19(0.06-0.67)

7

0.54(0.22-1.33)

1

0.10(0.01-0.77)

1

0.08(0.01-0.64)

7

0.67(0.25-1.85)

b

237

81

1.00(referent)

155

1.00(referent)

137

1.00(referent)

99

1.00(referent)

125

1.00(referent)

109

1.00(referent)

B

23

5

0.97(0.94-1.00)

3

0.20(0.06-0.68)

7

0.53(0.22-1.28)

1

0.10(0.01-0.78)

1

0.09(0.01-0.68)

7

0.64(0.25-1.66)

*, Stratified by the average age of 71 years.

Based on observations of the distribution difference between prostate cancer cases and controls, we here hypothesize the BsmI 'B' allele might have a protective effect against tumorigenesis. Previous studies also found that the BsmI 'BB+Bb' genotype was associated with one-third the risk of prostate cancer in a Japanese population [20] and one-fifth the risk in advanced stages and in poorly differentiated disease in a Taiwanese population [36]. Although Ma et al. [37] reported no significant association between the BsmI polymorphism and prostate cancer risk, they did find a 57% reduction in the risk of prostate cancer with the BsmI 'BB' genotype compared with the 'bb' genotype in American men. These data also support our findings concerning the protective effect of the BsmI 'B' allele. However, there are still some studies failed to show such a result. For example, studies such as Liu et al. [32] in Beijing population and Ingles et al. [28] in African-Americans. In addition to ethnic characteristics, geographical differences and living habits, the factors, including the study sample size, the choice of the control group (BPH or healthy people), might be the important reasons for these inconsistent results.

Although the BsmI polymorphic variant is in the untranslated intron 8 and does not seem to alter the VDR amino acid sequence, some studies have reported that the BsmI 'BB' genotype is significantly associated with higher plasma 1,25(OH)2D3 (median = 36.2 pg/ml for the 'BB' versus 33.9 pg/ml for the 'bb' genotype; P = 0.02), suggesting that the BsmI polymorphic variant is associated with VDR function [37]. In fact, strong linkage disequilibrium was detected among four polymorphisms, including BsmI in the 3'UTR region (Table 5), which is consistent with other studies [13, 18, 36, 38]. In addition, the effect of BsmI may be influenced by other polymorphisms.
Table 5

Linkage disequilibrium test between five VDR gene polymorphisms

SNP1

SNP2

Distance between two polymorphisms

D'

P valuea

FokI

BsmI

33060

0.513

0.110

FokI

Tru9I

33220

0.096

0.803

FokI

ApaI

34058

0.169

0.379

FokI

TaqI

34138

0.299

0.739

BsmI

Tru9I

160

0.574

0.253

BsmI

ApaI

998

0.556

0.006

BsmI

TaqI

1078

0.826

<0.001

Tru9I

ApaI

838

0.831

<0.001

Tru9I

TaqI

918

0.953

<0.001

ApaI

TaqI

80

0.900

<0.001

a, Based on chi-square test.

Haplotypes with five-locus (FokI, BsmI, Tru9I, ApaI, and TaqI) of VDR gene polymorphisms were also analyzed with SHEsis software. We found that the haplotype 'F-b-U-A-T' was more frequent in cases than in controls (3.4% vs. 0.0%, P = 0.0035; Table 6), while the frequency of haplotype 'F-B-U-a-T' was 0.8% in cases, significantly lower than that in controls (3.9%, P = 0.019), indicating that the haplotype 'F-b-U-A-T' was associated with increased risk of prostate cancer and the 'F-B-U-a-T' with a decreased risk. In Caucasian and African-Americans, an association was observed between disease risk and the four-locus 'F-B-A-t' haplotype (OR = 0.48, 95%CI: 0.30-0.76) compared with the 'F-b-a-T' haplotype, as reported by Cicek et al. [27]. The haplotype results obtained in that study also partly support our conclusion. In addition to BsmI, linkage disequilibrium data also showed that other polymorphisms (Tru9I, ApaI, and TaqI) may play some role in disease risk through their interactions. Taylor et al. [17] reported that the TaqI 'tt' genotype is significantly decreased in prostate cancer patients (8%) compared to noncancer controls in Caucasian Americans (22%; OR = 0.32; 95%CI: 0.15-0.75). A study of a southern European population also showed an association of the TaqI 'T 'allele with cancer risk [22]. However, our study showed that these polymorphisms demonstrated no significant differences in the southern Chinese Han population, which also suggested that the distribution of VDR gene polymorphisms may be associated with ethnicity and/or location.
Table 6

Haplotype frequencies for VDR five polymorphisms between prostate cancer cases and controls

Haplotypes

Controls (freq)

Cases (freq)

P valuea

OR (95%CI)

F-b-U-A-T

0.00(0.000)

8.90(0.034)

0.0035

-

F-b-U-a-t

6.98(0.029)

5.29(0.020)

-

-

F-b-U-a-T

0.00(0.000)

1.94(0.007)

-

-

F-B-u-A-T

6.31(0.026)

4.31(0.017)

-

-

F-B-u-a-T

18.06(0.074)

17.75(0.068)

0.806

0.92 (0.46~1.82)

F-B-U-A-T

87.01(0.357)

90.69(0.349)

0.863

0.97 (0.67~1.41)

F-B-U-a-T

9.56(0.039)

2.03(0.008)

0.019

0.19 (0.04~0.89)

f-B-u-a-T

0.00(0.000)

1.65(0.006)

-

-

f-B-U-a-t

0.00(0.000)

2.66 (0.010)

-

-

f-b-U-a-T

0.00(0.000)

2.48(0.010)

-

-

f-B-u-A-T

1.54(0.006)

0.00(0.000)

-

-

f-B-u-a-T

25.09(0.103)

33.21(0.128)

0.376

1.28 (0.74~2.23)

f-B-U-A-T

72.11(0.296)

77.10(0.297)

0.970

1.01 (0.68~1.49)

f-B-U-a-t

1.00(0.004)

1.05(0.004)

-

-

f-B-U-a-T

14.32(0.059)

10.86 (0.042)

0.385

0.70 (0.31~1.57)

F-B-U-a-t

1.00(0.004)

0.00(0.000)

-

-

f-b-U-A-t

0.92(0.004)

0.00(0.000)

-

-

f-B-u-A-T

1.54(0.006)

0.00(0.000)

-

-

a, Based on Fisher's exact test;

All those frequency <0.10 will be ignored in analysis.

The distribution of polymorphisms in the 3'UTR region of the VDR gene may be relavant with VDR mRNA stability and gene transcription [13]. Alterations in the ability of VDR protein to bind 1,25(OH)2D3 or activate the VDRE gene would ultimately result in changes in the expression of regulatory genes, such as CDK, which can directly or indirectly control prostatic cell division. If the protective action of the BsmI 'B' allele is confirmed experimentally, the pathological mechanism of prostate cancer would be better understand. In addition, we observed the genotype and allelic frequencies of VDR gene varied from race to race. For example, the allelic frequency of TaqI 'T' in the southern Chinese Han population (96.5%, in control) was significantly higher than that in white Americans (55.2%) [17] and Portuguese (57.8%) [22]. Thus, the distribution of VDR gene polymorphisms may help explain the difference in incidence of prostate cancer in different populations.

Conclusion

In conclusion, the present study indicated that VDR gene polymorphisms may be associated with prostate cancer risk in the southern Chinese Han population, and these associations may largely depend on population characteristics and geographic location.

Abbreviations

All abbreviations are defined in the text.

Notes

Declarations

Acknowledgements

We thank Dr. Luhu Shan (Zhejiang Cancer Hospital) and Dr. Guiqin Sun (Shaoxing People's Hospital) for their contributions to the subject assistance. This study was sponsored by Zhejiang Provincial Program for the Cultivation of High-level Innovative Health talents and Zhejiang Provincial Top Key Discipline of Laboratory Medicine, and supported by the Shaoxing Scientific Planning Key Project (Grant 2006A23014).

Authors’ Affiliations

(1)
Zhejiang Provincial Key Laboratory of Medical Genetics, School of Laboratory Medicine and Life Science, Wenzhou Medical College, Wenzhou, 325035, P.R. China
(2)
Medical College of Shaoxing University, Shaoxing, 312000, P.R. China
(3)
Laboratory Diagnostic Center of the First Affiliated Hospital of Wenzhou Medical College, Wenzhou, 325000, P.R. China
(4)
Department of Urology of the First Affiliated Hospital of Wenzhou Medical College, Wenzhou, 325000, P.R. China

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    39. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2350/10/125/prepub

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