Literature DB >> 19602258

Significance of common variants on human chromosome 8q24 in relation to the risk of prostate cancer in native Japanese men.

Miao Liu1, Takayuki Kurosaki, Motofumi Suzuki, Yutaka Enomoto, Hiroaki Nishimatsu, Tomio Arai, Motoji Sawabe, Takayuki Hosoi, Yukio Homma, Tadaichi Kitamura.   

Abstract

BACKGROUND: Common variants on human chromosome 8q24, rs1447295 (C/A) and rs6983267 (T/G), have been recently linked to the prevalence of prostate cancer in European and American populations. Here, we evaluated whether the single-nucleotide polymorphisms rs1447295 and rs6983267 were associated with the risk of sporadic prostate cancer as well as latent prostate cancer in a native Japanese population.
RESULTS: We analyzed genomic DNA samples from 391 sporadic prostate cancer patients, 323 controls who had died from causes unrelated to cancer and 112 Japanese men who were diagnosed as having latent prostate cancer based on autopsy results. The polymorphisms were determined by allelic discrimination using a fluorescent-based TaqMan assay. The A allele of rs1447295 was significantly associated with the risk of sporadic prostate cancer (p = 0.04; age-adjusted OR, 1.34), while the G allele of rs6983267 showed a trend towards being a high-risk allele (p = 0.06; age-adjusted OR, 1.27). No significant difference between these two polymorphisms and the risk of latent prostate cancer was observed in the present Japanese population.
CONCLUSION: Known variants on human chromosome 8q24 may be risk factors for sporadic prostate cancer in native Japanese men.

Entities:  

Mesh:

Year:  2009        PMID: 19602258      PMCID: PMC2719668          DOI: 10.1186/1471-2156-10-37

Source DB:  PubMed          Journal:  BMC Genet        ISSN: 1471-2156            Impact factor:   2.797


Background

The incidence of prostate cancer is widely known to be much lower in Asian men than in Western men [1]. Recently, genome-wide association studies have revealed a close relation between variants on human chromosome 8q24 and the risk of prostate cancer [2-13]. In 2006, Amundadottir et al. [2] first identified a region on chromosome 8q24 that was possibly linked to prostate cancer in Icelandic men. Subsequently, Freedman et al. [3] confirmed an association between rs1447295 and the risk of prostate cancer in another ethnic cohort study. In yet another study, the prevalence of the rs1447295 polymorphism associated with prostate cancer was investigated in a population of Indian-born Asian Indians who had emigrated from India and were living in the United States [14]. In 2007, Haiman et al. [8] and Yeager et al. [9] showed a strong association between rs6983267 and the risk of prostate cancer. Their investigations included African Americans, Latino Americans, European Americans, Japanese Americans, native Hawaiians, Australians, Swedish, Icelanders, and the British, but not native Japanese or other East Asian men. Thus, we felt that it was important to replicate the study in a population of native Japanese subjects to better understand the disparities in prostate cancer risk among different ethnicities. The characteristics of germline genetic polymorphisms among patients with latent prostate cancer diagnosed at the time of autopsy (LPCa) remain unknown. Stamey et al. first proposed the pathologic entity of clinically diagnosed latent prostate cancers, which are defined as clinically insignificant cancers [15]. Strictly speaking, 'insignificant prostate cancer' is not the same as 'LPCa', and a comparative genetic analysis of clinically diagnosed sporadic prostate cancer (SPCa) and LPCa might be useful for a better understanding of the nature of this disease. From this viewpoint, we also included LPCa subjects in the present study to examine the genetic differences between SPCa and LPCa patients.

Results

The characteristics of the control, SPCa, and LPCa groups are shown in Table 1. The age distributions of the control, SPCa, and LPCa groups were significantly different (p < 0.01). The T-stage distributions in the SPCa and LPCa groups were also significantly different (p < 0.01). The Gleason score distributions in the SPCa and LPCa groups were not significantly different (p = 0.49). Genotyping assays were successfully performed in all the subjects. Table 2 shows the distributions of the genotypes and alleles of the rs1447295 and rs6983267 polymorphisms. The genotype distributions for each SNP were consistent with Hardy-Weinberg equilibrium (HWE).
Table 1

Characteristics of control, SPCa, and LPCa

Control(N = 323)SPCa(N = 391)LPCa(N = 112)p value
Age
median797181
range49 – 10048 – 8966 – 98< 0.01
T-stage
T1 or T2167102
T3 or T42245< 0.01
unknown05
Gleason score
≤7241 (92)*62
≥8150 (34)*450.49
unknown05

*Numbers of patients with SPCa who were undergone radical prostatectomy are described in the parenthesis.

—, not applicable.

Table 2

Genotypic and allelic frequencies of rs1447295 and rs6983267 polymorphisms

GenotypeControl (%)(N = 323)SPCa (%)(N = 391)LPCa (%)(N = 112)
rs1447295
CC218 (67.5)217 (55.5)71 (63.4)
CA89 (27.5)149 (38.1)34 (30.4)
AA16 (5.0)25 (6.4)7 (6.2)

rs6983267
TT147 (45.5)151 (38.6)48 (42.9)
TG151 (46.8)181 (46.3)53 (47.3)
GG25 (7.7)59 (15.1)11 (9.8)

AlleleControl (%)(2N = 646)SPCa (%)(2N = 782)LPCa (%)(2N = 224)

rs1447295
C525 (81.3)583 (74.6)176 (78.6)
A121 (18.7)199 (25.4)48 (21.4)
HWE
chi-square2.910.011.09
p value0.090.930.30

rs6983267
T445 (68.9)483 (61.8)149 (66.5)
G201 (31.1)299 (38.2)75 (33.5)
HWE
chi-square2.650.160.44
p value0.100.690.51

HWE, Hardy-Weinberg equilibrium.

Characteristics of control, SPCa, and LPCa *Numbers of patients with SPCa who were undergone radical prostatectomy are described in the parenthesis. —, not applicable. Genotypic and allelic frequencies of rs1447295 and rs6983267 polymorphisms HWE, Hardy-Weinberg equilibrium. Compared with the major allele homozygous genotype as a reference, both the CA genotype of rs1447295 (p = 0.02; age-adjusted OR, 1.54; 95% CI, 1.08 – 2.21) and the GG genotype of rs6983267 (p = 7.0 × 10-3; age-adjusted OR, 2.21; 95% CI, 1.24 – 4.03) were significantly associated with the risk of SPCa. Moreover, the CA + AA genotypes of rs1447295 was also significantly associated with the risk of SPCa (p = 0.02; age-adjusted OR, 1.50; 95% CI, 1.07 – 2.11). In allele-wise analyses, the A allele of rs1447295 was significantly associated with the risk of prostate cancer (p = 0.04; age-adjusted OR, 1.34; 95% CI, 1.01 – 1.79), while the G allele of rs6983267 showed a tendency towards an increase in the risk of prostate cancer (P = 0.06; age-adjusted OR, 1.27; 95% CI, 0.99 – 1.62). One hundred and twelve patients among 1,179 autopsied men were diagnosed as having LPCa (9.5%). No significant differences were observed between the control and the LPCa patients (Table 3).
Table 3

Genotypic and allelic analyses of prostate cancer susceptibility

GenotypeControl vs. SPCaControl vs. LPCa
OR*95% CIp valueOR*95% CIp value
rs1447295
CC1.0reference1.0reference
CA1.541.08 – 2.210.021.220.75 – 1.980.42
AA1.290.62 – 2.730.501.450.53 – 3.590.45
CA + AA1.501.07 – 2.110.021.250.79 – 1.970.33
rs6983267
TT1.0reference1.0reference
TG0.950.67 – 1.350.781.170.74 – 1.860.50
GG2.211.24 – 4.037.0 × 10-31.400.62 – 3.030.40
TG + GG1.120.80 – 1.570.501.210.78 – 1.880.41

Allele
OR*95% CIp valueOR*95% CIp value

rs1447295
C1.0reference1.0reference
A1.341.01 – 1.790.041.230.84 – 1.790.29
rs6983267
T1.0reference1.0reference
G1.270.99 – 1.620.061.170.84 – 1.620.35

OR*, Age-adjusted odds ratio.

Genotypic and allelic analyses of prostate cancer susceptibility OR*, Age-adjusted odds ratio. After stratification according to the Gleason score, T-stage, and serum prostate specific antigen (PSA) levels at the time of diagnosis, the frequencies of the CA and CA+AA genotypes of rs1447295 were observed significantly higher in SPCa patients with a Gleason score ≤7, a T-stage of T3 or T4, and a serum PSA level ≥20 ng/mL; meanwhile, the frequency of the GG genotype of rs6983267 was observed significantly higher in SPCa patients with a Gleason score ≥8, a T-stage of T1 or T2, and a serum PSA level ≥20 ng/mL (Table 4). We also investigated a combined model examining the joint effect of both rs1447295 and rs6983267 on the prostate cancer risk. Individuals with SPCa who carried both the CA (rs1447295) and the GG (rs6983267) genotypes had a significantly higher risk of prostate cancer (p = 0.03; age-adjusted OR, 2.74; 95% CI, 1.13 – 7.17) (Table 5).
Table 4

Prostate cancer susceptibility stratified by Gleason score, T-stage, and serum PSA levels at diagnosis (control vs. SPCa)

GenotypeGleason score ≤ 7(N = 241)Gleason score ≥ 8(N = 150)
OR*95% CIp valueOR*95% CIp value
rs1447295
CC1.0reference1.0reference
CA1.621.08 – 2.420.021.480.94 – 2.340.09
AA1.090.46 – 2.560.841.630.66 – 3.920.29
CA + AA1.531.04 – 2.250.031.500.97 – 2.320.07
rs6983267
TT1.0reference1.0reference
TG0.930.62 – 1.390.730.900.57 – 1.420.66
GG1.840.96 – 3.550.072.411.20 – 4.860.01
TG + GG1.050.72 – 1.550.791.100.72 – 1.690.67

GenotypeT1 or T2(N = 167)T3 or T4(N = 224)
OR*95% CIp valueOR*95% CIp value

rs1447295
CC1.0reference1.0reference
CA1.390.88 – 2.170.151.701.14 – 2.560.01
AA1.340.53 – 3.290.531.280.55 – 2.950.57
CA + AA1.380.90 – 2.110.141.641.11 – 2.410.01
rs6983267
TT1.0reference1.0reference
TG0.960.61 – 1.510.870.910.61 – 1.360.65
GG2.681.37 – 5.304.0 × 10-31.690.87 – 3.310.12
TG + GG1.190.78 – 1.830.421.020.69 – 1.490.93

GenotypePSA < 20 ng/mL(N = 208)PSA ≥ 20 ng/mL(N = 183)
OR*95% CIp valueOR*95% CIp value

rs1447295
CC1.0reference1.0reference
CA1.460.95 – 2.230.081.711.12 – 2.600.01
AA0.970.37 – 2.440.951.690.74 – 3.830.21
CA + AA1.380.92 – 2.080.121.701.14 – 2.549.0 × 10-3
rs6983267
TT1.0reference1.0reference
TG0.960.63 – 1.470.860.920.60 – 1.400.69
GG1.460.72 – 2.960.302.741.45 – 5.242.0 × 10-3
TG + GG1.030.69 – 1.550.881.160.78 – 1.730.47

GenotypeNonaggressive(N = 99)Aggressivea(N = 292)
OR*95% CIp valueOR*95% CIp value

rs1447295
CC1.0reference1.0reference
CA1.690.98 – 2.910.061.541.06 – 2.250.02
AA1.390.44 – 3.990.561.280.59 – 2.810.53
CA + AA1.640.97 – 2.750.061.501.05 – 2.150.03
rs6983267
TT1.0reference1.0reference
TG0.990.58 – 1.710.970.930.64 – 1.360.72
GG1.450.58 – 3.460.422.321.29 – 4.260.01
TG + GG1.050.63 – 1.780.851.120.79 – 1.600.52

OR*, Age-adjusted odds ratio.

a Aggressive, Gleason score ≥ 8, and/or T-stage T3 or T4, and/or PSA ≥ 20 ng/mL.

Table 5

Combined analysis with two polymorphisms

rs6983267
TTTGGG

rs1447295OR*1.00.781.69
CC95% CIreference0.50 – 1.230.78 – 3.75
OR*1.071.332.74
CA95% CI0.58 – 1.940.77 – 2.291.13 – 7.17
OR*0.541.34
AA95% CI0.15 – 1.810.42 – 4.48

OR*, Age-adjusted odds ratio.

—, not applicable.

Prostate cancer susceptibility stratified by Gleason score, T-stage, and serum PSA levels at diagnosis (control vs. SPCa) OR*, Age-adjusted odds ratio. a Aggressive, Gleason score ≥ 8, and/or T-stage T3 or T4, and/or PSA ≥ 20 ng/mL. Combined analysis with two polymorphisms OR*, Age-adjusted odds ratio. —, not applicable.

Discussion

The present case-controlled study investigated the relation between variants on human chromosome 8q24 and the risk of sporadic and latent prostate cancer in native Japanese men. We confirmed that the rs1447295 and rs6983267 polymorphisms were significantly associated with the risk of sporadic prostate cancer in native Japanese men. Table 6 shows the results of allele-wise analyses for prostate cancer susceptibility in multi-ethnic studies. The frequencies of the risk alleles and the magnitudes of the effects found in our study were very similar to those previously reported for Japanese Americans [3,8]. Neither rs1447295 nor rs6983267 was associated with the risk of prostate cancer in African Americans; however, positive associations with other genetic markers on chromosome 8, such as DG8S737 [2,8], rs16901979 [7,11], rs13254738, rs6983561, broad11934905, rs7000448 [8], and rs7008482 [11], were also reported in these subjects. Whether these markers might also be valid for native Japanese men should be confirmed in future studies. In a genome-wide association study in subjects of European ancestry [9], the ORs of the CA and AA genotypes of rs1447295 were 1.43 and 2.23, respectively. In our results, patients with the CA genotype of rs1447295 were more likely to have prostate cancer (p = 0.02; age-adjusted OR, 1.54; 95% CI, 1.08–2.21); however, the AA genotype was not significantly associated with prostate cancer in the present study (p = 0.50; age-adjusted OR, 1.50; 95% CI, 0.62–2.73). In addition, the CA+AA genotypes of rs1447295 were observed more frequently in the SPCa group (p = 0.02; age-adjusted OR, 1.50; 95% CI, 1.07–2.11), similar to the results of a previous study conducted in Australian men [4]. As for the rs6983267 polymorphism, we could not find any significant association between the G allele and SPCa (p = 0.06; age-adjusted OR, 1.27, 95% CI: 0.99–1.62), although Haiman et al. [8] reported a significant association between these two factors (OR, 1.22; 95%CI, 1.05–1.42) in a study sample of 1,450 Japanese-Americans (722 patients with SPCa and 728 controls). The disparity between the results of their report and ours might have been caused by the different sample sizes.
Table 6

Allele-wise analyses for prostate cancer risk in the multiethnic studies

rs1447295
A allele frequency
Author (Year)N cases/N controlsStudy populationCasesControlsOR95% CIp value

Amundadottir, et al. (2006)1291/997Iceland0.170.111.721.7 × 10-9
1435/779Sweden0.160.131.294.5 × 10-3
458/247European Americans0.130.081.666.7 × 10-3
246/352African Americans0.340.311.150.29
Freedman, et al. (2006)70/68Native Hawaiians0.370.163.021.66 – 5.501.5 × 10-4
449/465Japanese Americans0.240.171.481.18 – 1.863.4 × 10-4
640/567Latino Americans0.140.101.481.14 – 1.911.4 × 10-3
455/447European Americans0.130.101.351.01 – 1.800.02
989/804African Americans1.050.95 – 1.160.15
Wang, et al. (2007)491/545Caucasians0.120.101.160.85 – 1.580.25
435/545Caucasians*0.170.101.931.37 – 2.724.0 × 10-3
Gudmundsson, et al. (2007)1453/3064Iceland0.170.101.711.49 – 1.951.6 × 10-14
385/892Spain0.100.071.441.07 – 1.941.7 × 10-2
367/1302The Netherlands0.140.111.391.09 – 1.789.0 × 10-3
373/372African Americans0.320.311.010.81 – 1.250.96
Haiman, et al. (2007)1614/837African Americans
722/728Japanese Americans
111/112Native Hawaiians
637/633Latino Americans
1182/942European Americans
Robbins, et al. (2007)490/567African Americans0.340.311.400.70 – 1.300.13
Present study (2009)391/323Native Japanese0.250.191.341.01 – 1.790.04

rs6983267
G allele frequency

Author (Year)N cases/N controlsStudy populationCasesControlsOR95% CIp value

Amundadottir, et al. (2006)1291/997Iceland
1435/779Sweden
458/247European Americans
246/352African Americans
Freedman, et al. (2006)70/68Native Hawaiians
449/465Japanese Americans
640/567Latino Americans
455/447European Americans
989/804African Americans
Wang, et al. (2007)491/545Caucasians
435/545Caucasians*
Gudmundsson, et al. (2007)1453/3064Iceland
385/892Spain
367/1302The Netherlands
373/372African Americans
Haiman, et al. (2007)1614/837African Americans0.900.841.431.17 – 1.75
722/728Japanese Americans0.370.321.221.05 – 1.42
111/112Native Hawaiians0.360.281.290.88 – 1.89
637/633Latino Americans0.630.621.050.89 – 1.24
1182/942European Americans0.540.511.130.99 – 1.28
Robbins, et al. (2007)490/567African Americans0.080.111.400.90 – 2.400.17
Present study (2009)391/323Native Japanese0.380.311.270.99 – 1.620.06

—, not applicable.

*, Familial prostate cancer cases.

†: We calculated the G allele frequencies of rs6983267. Genotype data were obtained from the supplementary Table 3 (reference No. 8).

Allele-wise analyses for prostate cancer risk in the multiethnic studies —, not applicable. *, Familial prostate cancer cases. †: We calculated the G allele frequencies of rs6983267. Genotype data were obtained from the supplementary Table 3 (reference No. 8). In 2008, Terada et al. [16] initially studied 507 patients with prostate cancer and 511 controls to determine the association between these common variants on chromosome 8q24 and the risk of prostate cancer in a native Japanese population. For their Japanese subjects, the A allele of rs1447295 was significantly associated with the risk of prostate cancer, while the G allele of rs6983267 was associated with the risk of prostatic enlargement rather than prostate cancer. Their findings for rs6983267 differed from the results reported by Haiman et al. regarding the risk of prostate cancer in Japanese Americans [8]. Terada et al. adopted healthy male volunteers or patients of benign disease as control, while our controls were pathologically confirmed to be the cases which have not suffered from any malignancy by autopsy. We could not read from their report whether they had surveyed of controls by a PSA test or physical examination to exclude prostate cancer subjects. We worried that they had a potential chance including prostate cancer subjects among controls and patients with benign prostatic hyperplasia. We think careful setting of controls is a critical issue that interferes with the results. During the course of our experiment, we also observed a relation between the aggressiveness of SPCa and these two SNPs. Thus, we investigated possible interactions between these two independent SNPs. Our results revealed a significant OR only in patients carrying both the CA genotype of rs1447295 and the GG genotype of rs6983267. While this result differed from that reported by Yeager et al. [9] in a European population, the magnitude of the effect in our study was higher (age-adjusted OR, 2.74; 95% CI, 1.13–7.17). The accumulation of samples in collaboration with various international centers would be indispensable for the further study of such interactions. The functional features of these polymorphisms are still unclear. The closest characterized gene is the proto-oncogene c-MYC, located approximately 264 kb from rs1447295 [2,6]. Sato et al. [17] demonstrated that patients with additional increases in the c-MYC copy number relative to the chromosome 8 centromere showed a more rapid disease progression and earlier death from cancer. Thus, clarifying the relation between c-MYC amplification and the risk alleles among the polymorphic markers located in 8q24 is a crucial task. To the best of our knowledge, no study to date has examined common variants on human chromosome 8 among subjects with LPCa. Our results suggested that the rs1447295 and rs6983267 polymorphisms were not associated with the risk of LPCa in native Japanese men. The frequencies of each genotype in these subjects and the controls were quite similar. We believe that such genetic research in subjects with LPCa may be useful for clarifying the genetic characteristics of clinically insignificant prostate cancer. In Japan, the age-adjusted incidence rate of prostate cancer was determined to be 26.2 per 100,000 in 2001 [18], while that in Japanese Americans living in California was determined to be 103.7 per 100,000 (2000 to 2002) [1]. Denis et al. [19] suggested that low intakes of vitamin E, selenium, lignans and isoflavonoids affected the tumorigenesis risk of prostate cancer. Marks et al. [20] reported that Japanese Americans had more body fat, higher serum triglyceride levels, lower estradiol levels, and much lower soy-metabolite levels than native Japanese. Additionally, Bettuzzi et al. [21] and Kurahashi et al. [22] emphasized the protective effects of green tea constituents against the risk of prostate cancer. These findings suggest that we need to consider genetic and environmental factors, as well as nutrition, in our attempts to prevent prostate cancer. This study had several limitations. First, our sample size was relatively small, and this might have influenced the robustness of the results. Further study using larger samples for both the case and control groups is necessary. Secondary, several pathologists at the affiliated hospitals had participated in the diagnosis of prostate cancer. Therefore, we cannot deny the inter-observer variability existed. Moreover, the data of Gleason score was underestimated, because two thirds of the pathological data from SPCa patients were obtained by biopsy. Little is known about why the prevalence of prostate cancer is much lower in Asian populations than in other ethnicities. Researchers from Asia need to collaborate in addressing this issue.

Conclusion

The present study demonstrates that polymorphisms on 8q24 are associated with the occurrence of prostate cancer in the native Japanese population. Our results confirm that these polymorphisms are closely related to the risk of SPCa; however, we did not observe an association between these polymorphisms and the risk of LPCa. One limitation of our study was that the number of our samples was relatively small; consequently, studies with larger populations and family-based analyses are needed in the future.

Methods

Study design

A total of 391 Japanese patients with SPCa who were treated at the Department of Urology at the University of Tokyo Hospital or at our affiliated hospitals located in the Kanto area of Japan between January 1999 and August 2007 were enrolled. One hundred twenty-six cases underwent a radical prostatectomy and the remaining cases were treated with androgen-deprivation therapy. Adenocarcinoma of the prostate was pathologically confirmed in all the cases, and the Gleason score was also evaluated by pathologists working at each hospital. The clinical T stage of the patients with SPCa was evaluated based on a digital rectal examination, transrectal ultrasonography, pelvic computed tomography, and pathological findings according to the 2002 TNM staging system for cancer [23]. The serum PSA levels at diagnosis were also measured. Patients with a family history of prostate cancer were carefully excluded from this study. The mean age of the SPCa patients was 70.7 ± 8.0 years (median, 71 years; range, 48 to 89 years). Genomic DNA samples were extracted from peripheral blood specimens of these patients. The study was conducted with the approval of the Ethics Committee of the University of Tokyo and the internal review board of each of the affiliated hospitals. Written informed consent was obtained from each patient prior to their enrollment in the study. We also examined 323 residence-matched Japanese men as a control group. The mean age of the patients in the control group was 79.2 ± 9.2 years (median, 79 years; range, 49 to 100 years). All the patients in the control group had died at the Tokyo Metropolitan Geriatric Hospital and were consecutively autopsied. All the control patients were pathologically confirmed to not have suffered from any malignancy [24]. Moreover, we examined 112 Japanese men who were diagnosed as having LPCa at the time of autopsy. The mean age of the LPCa patients was 81.9 ± 7.6 years (median, 81 years; range, 66 to 98 years). These patients had been registered in the database of Japanese single nucleotide polymorphisms for geriatric research (JG-SNP) [25]. Genomic DNA samples from the controls and LPCa cases were extracted from frozen kidney tissues. The T stage of the patients with LPCa was evaluated based on pathological findings according to the 2002 TNM staging system for cancer [23]. Written informed consent was obtained from the patients' family members under the Act of Postmortem Examination. This study was also reviewed and approved by the Ethics Committee of the Tokyo Metropolitan Geriatric Hospital. Moreover, this study was carried out in compliance with the Helsinki Declaration.

Genotyping assay

Genotyping of the rs1447295 and rs6983267 polymorphisms was conducted using a TaqMan assay with an ABI PRISM 7000 or 7300 sequence detection system (Applied Biosystems, Foster City, CA, USA) according to the manufacturer's instructions. We adjusted the concentration of the DNA solution to 100 ng/mL before using it. The sequences of the specific primers and TaqMan probes and the conditions for quantitative real-time polymerase chain reaction were obtained from the website of the National Cancer Institute .

Statistical analysis

All the statistical analyses were conducted using JMP software, version 7.0 (SAS, Cary, NC, USA). The chi-square test was used to examine Hardy-Weinberg equilibrium (HWE) and to compare the distribution of the genotypes and alleles among the control, SPCa and LPCa patients. To estimate the odds ratios (ORs) and 95% confidence intervals (CIs), logistic regression analyses were performed using age as a covariate to statistically adjust for its potential confounding effects. Additionally, we estimated ORs and 95%CIs after stratification according to the Gleason score, T-stage, and serum PSA levels at diagnosis, as just as Terada et al. reported [16]. P values less than 0.05 were considered significant.

Abbreviations

LPCa: latent prostate cancer diagnosed at the time of autopsy; SPCa: clinically diagnosed sporadic prostate cancer; HWE: Hardy-Weinberg equilibrium; PSA: prostate specific antigen; OR: odds ratio; CI: confidence interval.

Authors' contributions

ML carried out the genotyping assay, data analysis, and drafted the manuscript. TK1 carried out the genotyping assay. YE analyzed and interpreted the data. TA, MS2, and TH collected the control and latent prostate cancer subjects and interpreted the data. TK2 and MS1 conceived the study. MS1 was also involved in the statistical analysis and drafting of the manuscript. HN was involved in the manuscript's revision. TK2 and YH approved the manuscript for publication. All authors read and approved the final manuscript.
  23 in total

1.  Developments of geriatric autopsy database and Internet-based database of Japanese single nucleotide polymorphisms for geriatric research (JG-SNP).

Authors:  Motoji Sawabe; Tomio Arai; Ichiro Kasahara; Yukiyoshi Esaki; Ken-ichi Nakahara; Takayuki Hosoi; Hajime Orimo; Kaiyo Takubo; Shigeo Murayama; Noriko Tanaka
Journal:  Mech Ageing Dev       Date:  2004-08       Impact factor: 5.432

2.  A common variant associated with prostate cancer in European and African populations.

Authors:  Laufey T Amundadottir; Patrick Sulem; Julius Gudmundsson; Agnar Helgason; Adam Baker; Bjarni A Agnarsson; Asgeir Sigurdsson; Kristrun R Benediktsdottir; Jean-Baptiste Cazier; Jesus Sainz; Margret Jakobsdottir; Jelena Kostic; Droplaug N Magnusdottir; Shyamali Ghosh; Kari Agnarsson; Birgitta Birgisdottir; Louise Le Roux; Adalheidur Olafsdottir; Thorarinn Blondal; Margret Andresdottir; Olafia Svandis Gretarsdottir; Jon T Bergthorsson; Daniel Gudbjartsson; Arnaldur Gylfason; Gudmar Thorleifsson; Andrei Manolescu; Kristleifur Kristjansson; Gudmundur Geirsson; Helgi Isaksson; Julie Douglas; Jan-Erik Johansson; Katarina Bälter; Fredrik Wiklund; James E Montie; Xiaoying Yu; Brian K Suarez; Carole Ober; Kathleen A Cooney; Henrik Gronberg; William J Catalona; Gudmundur V Einarsson; Rosa B Barkardottir; Jeffrey R Gulcher; Augustine Kong; Unnur Thorsteinsdottir; Kari Stefansson
Journal:  Nat Genet       Date:  2006-05-07       Impact factor: 38.330

3.  Admixture mapping identifies 8q24 as a prostate cancer risk locus in African-American men.

Authors:  Matthew L Freedman; Christopher A Haiman; Nick Patterson; Gavin J McDonald; Arti Tandon; Alicja Waliszewska; Kathryn Penney; Robert G Steen; Kristin Ardlie; Esther M John; Ingrid Oakley-Girvan; Alice S Whittemore; Kathleen A Cooney; Sue A Ingles; David Altshuler; Brian E Henderson; David Reich
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-31       Impact factor: 11.205

4.  Two common chromosome 8q24 variants are associated with increased risk for prostate cancer.

Authors:  Liang Wang; Shannon K McDonnell; Joshua P Slusser; Scott J Hebbring; Julie M Cunningham; Steven J Jacobsen; James R Cerhan; Michael L Blute; Daniel J Schaid; Stephen N Thibodeau
Journal:  Cancer Res       Date:  2007-04-01       Impact factor: 12.701

5.  Fluorescence in situ hybridization analysis of c-myc amplification in stage TNM prostate cancer in Japanese patients.

Authors:  Hirotaka Sato; Sadatsugu Minei; Takahiko Hachiya; Toshio Yoshida; Yukie Takimoto
Journal:  Int J Urol       Date:  2006-06       Impact factor: 3.369

6.  The common variant rs1447295 on chromosome 8q24 and prostate cancer risk: results from an Australian population-based case-control study.

Authors:  Gianluca Severi; Vanessa M Hayes; Emma J D Padilla; Dallas R English; Melissa C Southey; Robert L Sutherland; John L Hopper; Graham G Giles
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2007-03       Impact factor: 4.254

7.  Chemoprevention of human prostate cancer by oral administration of green tea catechins in volunteers with high-grade prostate intraepithelial neoplasia: a preliminary report from a one-year proof-of-principle study.

Authors:  Saverio Bettuzzi; Maurizio Brausi; Federica Rizzi; Giovanni Castagnetti; Giancarlo Peracchia; Arnaldo Corti
Journal:  Cancer Res       Date:  2006-01-15       Impact factor: 12.701

Review 8.  Diet and its preventive role in prostatic disease.

Authors:  L Denis; M S Morton; K Griffiths
Journal:  Eur Urol       Date:  1999       Impact factor: 20.096

9.  Localized prostate cancer. Relationship of tumor volume to clinical significance for treatment of prostate cancer.

Authors:  T A Stamey; F S Freiha; J E McNeal; E A Redwine; A S Whittemore; H P Schmid
Journal:  Cancer       Date:  1993-02-01       Impact factor: 6.860

10.  Association of genetic polymorphisms at 8q24 with the risk of prostate cancer in a Japanese population.

Authors:  Naoki Terada; Norihiko Tsuchiya; Zhiyong Ma; Yosuke Shimizu; Takashi Kobayashi; Eijiro Nakamura; Toshiyuki Kamoto; Tomonori Habuchi; Osamu Ogawa
Journal:  Prostate       Date:  2008-11-01       Impact factor: 4.104

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  12 in total

1.  Genetic heterogeneity in Finnish hereditary prostate cancer using ordered subset analysis.

Authors:  Claire L Simpson; Cheryl D Cropp; Tiina Wahlfors; Asha George; Marypat S Jones; Ursula Harper; Damaris Ponciano-Jackson; Teuvo Tammela; Johanna Schleutker; Joan E Bailey-Wilson
Journal:  Eur J Hum Genet       Date:  2012-09-05       Impact factor: 4.246

2.  hTERT promoter polymorphism, -1327C>T, is associated with the risk of epithelial cancer.

Authors:  Toshihiko Iizuka; Motoji Sawabe; Kaiyo Takubo; Miao Liu; Yukio Homma; Motofumi Suzuki; Tomio Arai
Journal:  Springerplus       Date:  2013-05-31

3.  Association of three 8q24 polymorphisms with prostate cancer susceptibility: evidence from a meta-analysis with 50,854 subjects.

Authors:  Qiaoxin Li; Xia Liu; Rui-Xi Hua; Feng Wang; Hengqing An; Wei Zhang; Jin-Hong Zhu
Journal:  Sci Rep       Date:  2015-07-10       Impact factor: 4.379

4.  Meta-analysis of microRNA-146a rs2910164 G>C polymorphism association with autoimmune diseases susceptibility, an update based on 24 studies.

Authors:  Changzheng Li; Weijun Fu; Yu Zhang; Liang Zhou; Zhi Mao; Weiran Lv; Juan Li; Ye Zhou
Journal:  PLoS One       Date:  2015-04-01       Impact factor: 3.240

5.  Association of single nucleotide polymorphism rs6983267 with the risk of prostate cancer.

Authors:  Yuan Yang; Wenjing Wang; Liangcai Zhang; Shihua Zhang; Guiyou Liu; Yingcui Yu; Mingzhi Liao
Journal:  Oncotarget       Date:  2016-05-03

6.  Comparative analysis of Notch1 and Notch2 binding sites in the genome of BxPC3 pancreatic cancer cells.

Authors:  Hao Liu; Ping Zhou; Hong Lan; Jia Chen; Yu-Xiang Zhang
Journal:  J Cancer       Date:  2017-01-01       Impact factor: 4.207

7.  Association between 8q24 Gene Polymorphisms and the Risk of Prostate Cancer: A Systematic Review and Meta-Analysis.

Authors:  Ran Li; Zhiqiang Qin; Jingyuan Tang; Peng Han; Qianwei Xing; Feng Wang; Shuhui Si; Xiaolu Wu; Min Tang; Wei Wang; Wei Zhang
Journal:  J Cancer       Date:  2017-09-15       Impact factor: 4.207

8.  Association between 8q24 rs6983267 polymorphism and cancer susceptibility: a meta-analysis involving 170,737 subjects.

Authors:  Man Zhu; Xue Wen; Xuefang Liu; Yingchao Wang; Chunzi Liang; Jiancheng Tu
Journal:  Oncotarget       Date:  2017-07-04

Review 9.  PRISMA-Extracapsular Dissection Versus Superficial Parotidectomy in Treatment of Benign Parotid Tumors: Evidence From 3194 Patients.

Authors:  Shang Xie; Kan Wang; Hui Xu; Rui-Xi Hua; Tian-Zhu Li; Xiao-Feng Shan; Zhi-Gang Cai
Journal:  Medicine (Baltimore)       Date:  2015-08       Impact factor: 1.817

10.  Cumulative evidence of relationships between multiple variants in 8q24 region and cancer incidence.

Authors:  Yu Tong; Ying Tang; Shiping Li; Fengyan Zhao; Junjie Ying; Yi Qu; Xiaoyu Niu; Dezhi Mu
Journal:  Medicine (Baltimore)       Date:  2020-06-26       Impact factor: 1.817

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