92006082299Cancer Epidemiol Biomarkers PrevCancer Epidemiol. Biomarkers Prev.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology1055-99651538-775523129590376395510.1158/1055-9965.EPI-12-0922-TNIHMS418916ArticleProtective effects of low calcium intake and low calcium absorption vitamin D receptor genotype in the California Collaborative Prostate Cancer StudyRowlandGlovioell W.1SchwartzGary G.2JohnEsther M.34InglesSue Ann1Department of Preventive Medicine, University of Southern California, Los Angeles, CADepartments of Cancer Biology, Urology, and Epidemiology and Prevention, Wake Forest University, Winston-Salem, NCCancer Prevention Institute of California, Fremont, CADepartment of Health Research and Policy, Stanford University School of Medicine and Stanford Cancer Institute, Stanford, CACorresponding author: Sue Ann Ingles, USC/Norris Comprehensive Cancer Center Department of Preventive Medicine, Keck School of Medicine of USC, University of Southern California, 1441 Eastlake Avenue, MS 9175, Los Angeles, CA 90033; Tel (323) 865-0498 Fax: (323) 865-0473. ingles@usc.edu5112012051120121201301120142211624Background

High calcium intake is consistently associated with increased prostate cancer risk in epidemiologic studies. We previously reported that the positive association between calcium intake and risk of aggressive prostate cancer was modified by the Vitamin D Receptor (VDR) calcium absorption genotype, Cdx2, among African American men.

Methods

We expanded our previous study to include White men, a population with a higher calcium intake and a higher prevalence of the low absorption allele. We also examined VDR polymorphisms at other loci unrelated to calcium absorption. The study included 1,857 prostate cancer cases (1,140 with advanced stage at diagnosis, 717 with localized stage) and 1,096 controls. Odds ratios (OR) were estimated using conditional logistic regression.

Results

Among both Blacks and Whites, we observed a threshold for calcium intake (604 mg/day) below which prostate cancer risk declined sharply. Low calcium intake was most strongly associated with decreased risk among men with the VDR Cdx2 low calcium absorption genotype (p for interaction = 0.001 and p=0.06 for Whites and African Americans, respectively). Among all men with this genotype, those in the lowest quartile of calcium intake (<=604 mg/day) had a 50% reduction in risk compared to those in the upper three quartiles (OR=0.49, 95% CI=0.36–0.67). The association between calcium intake and prostate cancer risk was not modified by genotype at other VDR loci.

Conclusions and Impact

Our findings support the hypothesis that genetic determinants of calcium absorption influence prostate cancer risk and may contribute to racial disparities in prostate cancer incidence and mortality rates.

Vitamin D receptorcalcium absorptiongenetic polymorphismprostate cancerethnicityNational Cancer Institute : NCIR01 CA084979 || CA
Introduction

Calcium intake has been consistently associated with risk of advanced or fatal prostate cancer in epidemiologic studies, although the mechanism(s) underlying this association remain(s) unclear (16). We recently reported that low calcium intake was associated with a decreased risk of advanced prostate cancer in African American men, but only among those with a genotype of the Vitamin D Receptor (VDR) that is associated with poor intestinal absorption of calcium (7). To determine whether these associations also occur among Whites, we expanded our study to include White men from the California Collaborative Prostate Cancer Study. For comparison, we examined other VDR loci, unlinked to the Cdx2 polymorphism, that are not directly related to calcium absorption.

This study included 1,857 prostate cancer cases (500 African Americans and 1,357 Whites) and 1,096 controls (240 African Americans and 856 Whites). Among cases, 1,140 were diagnosed with advanced disease, making this one of the largest studies of advanced stage prostate cancer in the epidemiologic literature.

Materials and MethodsStudy Population

Study subjects were participants in the California Collaborative Prostate Cancer Study, a population-based multiethnic case-control study conducted between 1997 and 2005, enriched for aggressive prostate cancer cases, which has been described in detail previously (8, 9). Briefly, cases were identified from the Los Angeles County Cancer Surveillance Program and the Los Angeles County and the Greater Bay Area Cancer Registries. A total of 2,008 cases completed the interview, including 1,232 from Los Angeles County (LAC) and 776 from the San Francisco Bay Area (SFBA). Cases without a definitive stage were excluded, leaving 1,960 cases, including 542 African Americans and 1,418 Whites, 333 of whom were Hispanic and 1,085 non-Hispanic Whites. Advanced prostate cancer was defined according to SEER (Surveillance Epidemiology and End Results) 1995 pathologic and clinical extent of disease codes 41–85. Of the 1,960 cases, 1,199 were diagnosed with advanced stage and 761 were diagnosed with localized disease.

Controls were frequency-matched to the expected distribution of cases on race/ethnicity and five-year age group. In LAC, controls were ascertained by a standard neighborhood walk algorithm that specifies an obligatory sequence of residences to be surveyed for eligible control subjects (10). A participating control was found within 40 residences in more than 90% of case neighborhoods surveyed. In SFBA, controls were identified through random-digit dialing and random selections from among beneficiaries of the Health Care Financing Administration. A total of 1,139 controls (594 from LAC, 545 from SFBA) completed the interview, including 253 African Americans and 886 Whites (122 Hispanic and 764 non-Hispanic).

Blood or mouthwash samples were obtained for 1,164 advanced cases, 553 localized cases, and 1,119 controls. Biospecimens were not collected from localized cases in SFBA.

All study participants provided written informed consent. The protocol was approved by the Institutional Review Boards of the University of Southern California and the Cancer Prevention Institute of California.

Data Collection

Trained professional interviewers conducted home visits and administered a structured questionnaire on demographic background, medical history, body size, lifestyle factors (including physical activity, alcohol consumption, smoking), and family history of prostate cancer. Three measurements of standing height and two measurements of weight were taken and averaged. Usual dietary intake during the reference year (defined as the calendar year before diagnosis for cases and the year before selection into the study for controls) was assessed using a 74-item food frequency questionnaire (FFQ) adapted from Block’s 1995 Health Habits and History Questionnaire, which has been validated in middle-aged and older men (1114). The FFQ assessed for each food item the frequency of consumption and portion size, using food models and utensils. Daily intake of specific nutrients, including calcium, was estimated using the DIETSYS software. Intake of supplemental calcium during the reference year was assessed by questions on use (number of tablets per week) of multivitamins, calcium pills with or without vitamin D, and calcium-based antacids (e.g., Tums, Rolaids).

Exposure variables

Calcium intake was estimated from the food frequency questionnaire and from use of supplements (i.e., multivitamin pills, single calcium tablets, and calcium-based antacids). Total calcium intake included calcium from foods, beverages and supplements. Cut points were selected based on quartiles of intake among controls. Subjects with dietary intake considered unreliable (<600 or >6000 kcal/day) were excluded from analyses (103 cases and 43 controls), leaving 1,857 cases (500 African Americans and 1,357 Whites) and 1,096 controls (240 African Americans and 856 Whites) in the dietary analyses.

In addition to the Cdx2 polymorphism, we examined the FokI translation start site polymorphism in exon 2 that influences receptor transactivation ability and the synonymous TaqI polymorphism in exon 9 that is linked to variation in the 3’ untranslated region which is important for mRNA stability.

Genotyping

SNPs in three regions of the VDR gene were examined: a missense SNP in a CDX-2 protein binding site lying between exons 1D and 1G [rs11568820], (15) a missense SNP in the first of two potential start codons in exon 2 [rs10735810] (referred to as FokI), and a synonymous SNP in exon 9 (3’UTR) [rs731236] (referred to as TaqI) (8).

The Cdx2, FokI, and TaqI SNPs were genotyped with TaqMan assays using the TaqMan Core Reagent kit (Applied Biosystems, Foster City, CA) as previously described (7, 8). PCR reactions were conducted using conditions recommended by the manufacturer. Fluorescent signals were measured using an ABI 7900HT Detection System. Water blanks were included in all PCR batches. Ten percent of samples were blindly replicated. There were no discrepancies among replicated samples. Call rates were >97%. Laboratory technicians were blinded to case-control status. Genotype data were obtained for 1,857 cases and 1,096 controls.

Statistical Analyses

Allele frequencies were estimated by gene counting. Chi-square tests were used to test for departures of genotype frequencies from Hardy-Weinberg Equilibrium among controls. To control for differences in race/ethnicity, socio-economic status (SES) and case/control ratio across study sites, we created a variable that classified subjects according to study site, SES quintile and race/ethnicity, as described previously (8), and fit conditional logistic regression models to estimate odds ratios (OR) and 95% confidence intervals (CI). Models were adjusted for age (continuous variable) and first-degree family history of prostate cancer (yes, no) as potential confounders. We also checked for potential confounding by PSA screening during the five years prior to the reference year. Reliable screening data were available only for SFBA cases and controls, and there was no evidence of confounding by PSA screening.

Dose-response trends were assessed by including quartiles as an ordinal value in the conditional logistical regression models. Cross-product terms were included and a 1 degree of freedom likelihood ratio test was used to evaluate effect modification (interaction). Separate analyses were performed for cases with localized and advanced stage disease. Because the number of Hispanic Whites was too small for separate analyses, Hispanic and Non-Hispanic Whites were combined.

Results

The demographic characteristics of study participants are shown in Table 1. The mean age at diagnosis was 64 years. On average, advanced cases were diagnosed three years earlier than localized cases among African Americans, and five years earlier among Whites. Cases and controls were similar in education, socio-economic status, and BMI. Cases consumed more calcium than controls and were more likely to report a first-degree family history of prostate cancer. African Americans consumed less calcium than Whites (mean of 818 vs. 1,078 mg/day for African American vs. White controls). In both racial groups, advanced cases consumed more calcium than localized cases (1,173 vs. 1,119 mg/day among Whites; 979 vs. 945 mg/day among African Americans for advanced vs. localized disease).

Table 2 shows that low calcium intake is associated with lower prostate cancer risk among both African Americans and Whites. The association was seen for both advanced and localized disease. Men in the lowest quartile of total calcium intake (<604 mg/day) had an approximately 40% lower risk of prostate cancer (advanced or localized) than men in the highest quartile (>1,258 mg/day) (OR=0.62, 95% CI= 0.49, 0.77; p for trend: 0.001). The top three quartiles, however, did not differ significantly with respect to prostate cancer risk. The associations were somewhat stronger among African Americans, with a 54% decrease in advanced disease risk (quartile 4 vs. 1) compared to 35% in White men.

Table 3 shows associations between risk and the genotypes for the three SNPs, Cdx2, FokI, and TaqI, in the VDR gene. All genotypes were in Hardy-Weinberg equilibrium among African American and White controls. The Cdx2 genotype was associated with prostate cancer risk only among African Americans; specifically, the GG genotype was associated with reduced risk of advanced disease. The FokI genotype was associated with risk only among Whites and only for advanced disease. No significant associations were observed for TaqI. For all pairwise combinations of SNPs, there was no linkage disequilibrium detected among either African Americans or Whites.

Table 4 shows the association with genotype, stratified by total calcium intake (lowest quartile vs. top three quartiles). Effect modification was present only for the Cdx2 genotype. Among both African Americans and Whites, the Cdx2 G allele was associated with reduced risk, but only among those with low (lowest quartile) calcium intake (p for interaction = 0.001 in Whites; 0.06 in African Americans). Among men with low calcium intake (<604 mg/day), each additional G allele was associated with a 39–46% decrease in risk.

Table 5 shows the association with calcium consumption, stratified by Cdx2 genotype. Low calcium intake (<604 mg/day vs. ≥604 mg/day) was significantly associated with decreased risk only among men with the protective genotype (GG) (OR=0.49, 95% CI= 0.36, 0.67). A similar pattern was seen in African Americans and Whites (data not shown). Both races were combined due to sparse numbers of men with both the GG genotype and low calcium intake.

Discussion

In this multi-ethnic study of 1,857 prostate cancer cases and 1,096 controls, we observed a positive association between calcium intake and prostate cancer risk, consistent with a large epidemiologic literature (16). Moreover, among both African Americans and Whites, the association was modified by VDR calcium absorption GG genotype. Specifically, low calcium intake was most strongly associated with decreased prostate cancer risk among men with the VDR Cdx2 GG genotype that has been linked to low calcium absorption (1617). Thus, low calcium intake (<604 mg/day) and low absorption genotype (VDR Cdx2 GG) appear to jointly confer markedly reduced risk.

We observed a threshold for calcium intake below which prostate cancer risk declined sharply for both African Americans and Whites. No reduction in risk was seen for intake in the middle two quartiles compared to men in the highest quartile of calcium intake (>1,258 mg/day). Conversely, men in the lowest quartile (<604 mg/day) had a 30–50% reduction in risk.

The Institute of Medicine recently set the recommended daily intake (RDI) of calcium for men aged 51–70 years at 1,000 mg and at 1,200 mg for men over 70 (18, 19). The Tolerable Upper Limit (TUL) for calcium intake for both age groups is 2,000 mg per day. Notably, an increased risk of prostate cancer was one of the considerations leading to the selection of the TUL for men. Our data indicate that only calcium intake below the RDI (and well below the TUL) is associated with decreased risk, which suggests that with respect to prostate cancer, both the RDI and the TUL are too high.

Calcium intake was lower in African Americans than in Whites, a finding that is consistent with many other reports (2022). Only half as many Whites as African Americans (21% vs. 41%) consumed a diet sufficiently low in calcium (i.e., < 604 mg/day) to be associated with a reduced risk. Thus, among Whites, the low calcium absorption genotype did not appear to be protective when considered in isolation from calcium intake.

The prevalence of the low calcium absorption genotype is much lower in African Americans than Whites (10% vs. 61% among controls). Despite the difference in genotype prevalence by race, results for the interaction of genotype and diet were consistent across both groups. In numerous studies and in diverse ethnicities, the low calcium absorption genotype (VDR Cdx2 GG) has been associated with markers of reduced calcium availability, e.g., lower bone mineral density and osteoporosis (2325). The Cdx2 polymorphism interrupts a transcription factor binding site that is thought to be important for intestinal VDR expression and calcium absorption (16, 17). Although a direct effect of the Cdx2 SNP on calcium absorption has not been demonstrated in vivofunctional differences have been demonstrated in vitro (15). Thus, effect modification of calcium intake by the Cdx2 genotype, which governs calcium physiology, is biologically plausible (7).

The VDR polymorphisms examined in this study are located in three independent regions of the gene: the upstream promoter (Cdx2), the start codon (FokI), and the exon containing the 3'UTR (TaqI). The presumed mechanisms of any effects of the FokI and TaqI polymorphisms are believed to be unrelated to calcium. The FokI polymorphism changes the length of the VDR protein, affecting transactivation ability (26), whereas 3'UTR polymorphisms (marked by TaqI) have been proposed to influence stability of the gene transcript (27). Neither of these polymorphisms modified the association between calcium intake and prostate cancer risk.

The FokI and TaqI polymorphisms, considered alone, were not associated with prostate cancer risk, except for an increased risk of advanced prostate cancer among Whites homozygous for the variant start codon genotype (previously reported by John et al.) (8). This genotype was present among only 4% of African Americans (10 controls and 10 advanced cases), thus statistical power to detect an association in this group was limited. Our findings are consistent with recent meta-analyses (28, 29), which found only weak associations of borderline significance between VDR TaqI and FokI genotypes and prostate cancer risk.

The mechanisms underlying the association between high dietary calcium intake and increased risk of prostate cancer remain uncertain(1, 30–32). High dietary calcium has been proposed to inhibit the renal hydroxylation of 25-OHD into the active hormone, 1,25-Dihydroxyvitamin D5, but serum levels of either 25-OHD or 1,25-Dihdroxyvitamin D have not been consistently associated with prostate cancer risk (33, 34). An attractive, alternate hypothesis is that calcium in diet increases levels of ionized calcium in serum and that serum ionized calcium affects prostate cancer cells directly (35). Both the calcium-sensing receptor as well as calcium-dependent voltage gated channels are expressed in prostate cancer cells (33, 36, 37). Stimulation of these receptors by extracellular calcium is known to increase prostate cancer cell proliferation in vitro and metastasis in vivo. This interpretation is consistent with our previous findings for fatal prostate cancer from two prospective studies. Relative risks for fatal cancer were increased two-fold among men with high vs. low total serum calcium (38) and three-fold among those with high vs. low ionized serum calcium (39). An attractive aspect of the serum calcium model is that this mechanism, increases in ionized calcium stimulating cancer cell proliferation, can accommodate the findings from both the dietary and serum studies. This is because, although levels of total calcium in serum vary little following calcium intake, increases in dietary calcium cause a rise in serum levels of ionized calcium, which remain elevated for several hours after dietary intake (40, 41).

Our results should be considered in light of several potential limitations. First, the retrospective design may have introduced recall bias in participants’ reporting of calcium intake. However, our findings are consistent with those from several prospective studies in which recall bias is not an issue. Second, selection bias cannot be completely ruled out since participation rates were slightly lower for controls than for cases. However, this would occur only if the probability of inclusion in the study was related to calcium intake or absorption. We did not detect any heterogeneity in effect estimates by race/ethnicity, SES or study site. Third, our recording of disease stage may be subject to misclassification. It is well-known that prostate cancer that is staged clinically may be under-staged relative to its true extent, as determined by pathological stage. This limitation applies principally to early stage disease which may include a mixture of localized and advanced disease.

The relatively small number of Hispanics (101 controls, 119 localized cases, and 174 advanced cases), precluded ethnic-specific analyses among White men. Few Hispanics (11 controls, 10 localized cases and 15 advanced cases) had low calcium intake (lowest quartile), which was associated with decreased risk. Average calcium intake was higher among Hispanics than among non-Hispanic Whites (1,342 vs. 1,043 mg/day). However, the low absorption Cdx2 (G) allele was common among Hispanics. The frequency of the G allele did not vary by ethnicity (81% vs. 80% reported by HapMap (42); 79% vs. 77% in our study, for Hispanics and non-Hispanic Whites, respectively). Future, larger studies are needed to examine prostate cancer risk in Hispanics in relation to calcium intake.

Conversely, our study has several strengths, including its sample size, population-based design, and the oversampling of cases with advanced-stage disease, which allowed us to distinguish stage-specific genotype-diet interactions that would have been difficult or impossible to detect in a case series that consisted mainly of early-stage disease. Furthermore, few epidemiologic studies of diet have included large numbers of advanced-stage prostate cancer among African Americans.

Racial/ethnic disparities in prostate cancer are well documented. In the US, incidence rates are 60% higher and mortality rates are 150% higher among African Americans than Whites (SEER 2000–2009) (43). The reasons for these differences remain unexplained. We are impressed by the fundamental differences in calcium biology among African Americans and Whites. For example, despite consuming less calcium than Whites, African Americans have higher bone mineral density. Thus, African Americans are more efficient at calcium absorption (44, 45). We observed substantial differences in Cdx2 allele frequencies by race. The high absorption allele is more common in populations of African origin (98% in Yorubans in Ibadan, 89% in Luhya in Kenya, 71% in African Americans of the U.S. Southwest) than in men of Northern or Western European ancestry (20% in Utah residents) (42). We suggest that these genetic differences in calcium absorption, which are known to influence racial differences in bone mineral density, may contribute to racial/ethnic differences in prostate cancer incidence and mortality.

Although the genetics of calcium absorption are not modifiable, the dietary intake of calcium is. Our results suggest that a subset of men, i.e., those with the Cdx2 GG genotype, may be able to substantially reduce their risk of prostate cancer by reducing their calcium intake. Prior to making such a decision, men might want to consider their personal risk of other diseases that have been linked to lower calcium intake, such as osteoporosis and colorectal cancer. Additionally, if the association between high calcium absorption and increased risk of t prostate cancer risk is confirmed by additional studies, medicines that lower calcium absorption may have a role as chemopreventive agents.

Conflicts of Interest: No authors have conflicts of interest

Acknowledgements

We thank all the men who participated in this study, without whom this research would not be possible.

Grant Support

Financial support was received from the University of Southern California T32-CA009492

Training Grant from the National Cancer Institute (to G.W.R.).

The Northern and Southern California studies were funded by grants 99-00527V-10182 (to E.M.J.) and 99-00524V-10258 (to S.A.I.) from the Cancer Research Fund, under Interagency Agreement #97-12013 (University of California contract #98-00924V) with the Department of Health Services Cancer Research Program and by grant R01CA84979 (to S.A.I.) from the National Cancer Institute, National Institutes of Health. Cancer incidence data used in this publication have been collected by the Greater Bay Area Cancer Registry, of the Northern California Cancer Center, under contract N01-PC-35136 with the National Cancer Institute, National Institutes of Health, and with support of the California Cancer Registry, a project of the Cancer Surveillance Section, California Department of Health Services, under subcontract 1006128 with the Public Health Institute and the Los Angeles Cancer Surveillance Program of the University of Southern California with Federal funds from the National Cancer Institute, National Institutes of Health, Department of Health and Human Services, under Contract No. N01-PC-35139, and the California Department of Health Services as part of the statewide cancer reporting program mandated by California Health and Safety Code Section 103885, and grant number 1U58DP000807-3 from the Centers for Disease Control and Prevention. Mention of trade names, commercial products, specific equipment or organizations does not constitute endorsement, guarantee or warranty by the State of California Department of Health Services or the U.S. Government, nor does it imply approval to the exclusion of other products. The views expressed in this publication represent those of the authors and do not necessarily reflect the position or policies of the Northern California Cancer Center, the California Public Health Institute, the State of California Department of Health Services, or the U.S. Department of Health and Human Services. Support from the American Cancer Society to G.G.S. (Pilot and Exploratory Grants in Cancer Palliation) is gratefully acknowledged.

AbbreviationsVDR

Vitamin D (1,25- dihydroxyvitamin D3) receptor protein

VDR gene

gene encoding the vitamin D3 receptor

CDX-2

caudal type homeo box transcription factor 2 protein

Cdx2

single nucleotide polymorphism in the CDX-2 binding site of the VDR gene

OR

Odds ratio

CI

Confidence interval

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Characteristics of Prostate Cancer Cases and Controls

ControlsCases
N=1096N=1857
LocalizedAdvanced
N=717N=1140
CategoriesN (%)N (%)N (%)
RaceAfrican AmericanWhiteAfrican AmericanWhiteAfrican AmericanWhite
N=240N=856N=265N=452N=235N=905
Age (years)
<=4914 (6%)40 (5%)11 (4%)7 (2%)13 (6%)27 (3%)
50–5961 (25%)248 (29%)52 (20%)63 (14%)69 (29%)247 (27%)
60–69104 (43%)337 (39%)108 (41%)160 (35%)99 (42%)382 (42%)
70–7957 (24%)202 (24%)78 (29%)181 (40%)52 (22%)223 (25%)
>=804 (2%)29 (3%)16 (6%)41 (9%)2 (<1%)26 (3%)
mean (SD)64 (8.9)64 (9.1)66 (8.8)69 (8.5)63 (8.5)64 (8.4)
Education
High School or less98 (41%)186 (22%)116 (44%)160 (30%)109 (46%)270 (30%)
College Degree/Some College92 (38%)235 (27%)104 (39%)115 (25%)71 (30%)236 (26%)
Post Graduate49 (20%)432 (50%)44 (17%)175 (39%)55 (23%)396 (44%)
Unknown1 (<1%)3 (<1%)1 (<1%)2 (<1%)0 (0%)3 (<1%)
Socio-Economic Status(census tract-based)
1 = Low48 (20%)54 (6%)92 (35%)54 (12%)64 (27%)79 (8%)
268 (28%)68 (8%)68 (26%)61 (14%)51 (22%)89 (10%)
356 (23%)145 (17%)55 (21%)65 (14%)56 (24%)151 (17%)
445 (19%)229 (27%)30 (11%)103 (23%)41 (17%)186 (21%)
5= High23 (10%)360 (42%)20 (8%)169 (37%)23 (10%)400 (44%)
Family History of Prostate Cancer
No212 (88%)745 (87%)204 (77%)363 (80%)178 (76%)742 (82%)
Yes28 (12%)111 (13%)61 (23%)89 (20%)57 (24%)163 (18%)
Body Mass Index
<2551 (21%)235 (28%)60 (23%)137 (30%)66 (28%)220 (24%)
25.0 – 29.9110 (46%)387 (45%)123 (47%)232 (51%)104 (44%)451 (50%)
>=3078 (33%)232 (27%)81 (31%)82 (18%)64 (27%)234 (26%)
Calcium IntakeMean (sd)Mean (sd)Mean (sd)
Total Calcium (mg/day)818 (474)1078 (613)945 (510)1119 (649)979 (577)1173 (671)
Dietary Calcium (mg/day)755 (444)970 (559)869 (497)1001 (542)890 (517)1071 (614)
Supplemental Calcium (mg/day)64 (155)108 (249)75 (130)119 (316)89 (217)102 (266)

Total Calcium Intakeand Prostate Cancer Risk

ControlsAll Cases vs. ControlsLocalized Cases vs. ControlsAdvanced Cases vs. Controls
All MenN=1096N=1857N=717N=1140
Total CalciumN (%)N (%)OR (95% CI)N (%)OR (95% CI)N (%)OR (95% CI)
>1258 mg/day275 (25%)356 (18%)1.0 (ref)185 (26%)1.00 (ref)351 (31%)1.00 (ref)
895–1258 mg/day273 (25%)479 (26%)0.95 (0.77,1.17)201 (28%)1.04 (0.78, 1.38)306 (27%)0.89 (0.71, 1.13)
604–894 mg/day274 (25%)507 (27%)0.90 (0.72,1.11)189 (26%)0.92 (0.69, 1.22)290 (25%)0.88 (0.70, 1.11)
< 604 mg/day274 (25%)536 (29%)0.62 (0.49, 0.77)142 (20%)0.67 (0.50, 0.91)193 (17%)0.59 (0.46, 0.76)
p for Trendp=0.001p= 0.008p = 0.001
N=240N=500N=235N=265
African AmericansN (%)N (%)OR (95% CI)N (%)OR (95% CI)N (%)OR (95% CI)
>1258 mg/day38 (16%)100 (20%)1.0 (ref)49 (18%)1.00 (ref)51 (22%)1.00 (ref)
895–1258 mg/day46 (19%)140 (86%)1.10 (0.66, 1.82)81 (31%)1.36 (0.76, 2.42)59 (25%)0.91 (0.51, 1.64)
604–894 mg/day58 (24%)130 (26%)0.79 (0.48, 1.29)67 (25%)0.88 (0.49, 1.55)63 (27%)0.77 (0.44, 1.35)
< 604 mg/day98 (41%)130 (26%)0.49 (0.31, 0.78)68 (26%)0.58 (0.33, 1.00)62 (26%)0.46 (0.27, 0.79)
p for Trendp= 0.001p = 0.004p = 0.002
N=856N=1357N=452N=905
WhitesN (%)N (%)OR (95% CI)N (%)OR (95% CIN (%)OR (95% CI)
>1258 mg/day237 (28%)436 (32%)1.0 (ref)136 (30%)1.00 (ref)300 (33%)1.00 (ref)
895–1258 mg/day227 (27%)367 (27%)0.91 (0.72, 1.15)120 (27%)0.94 (0.67, 1.31)247 (27%)0.89 (0.69, 1.14)
604–894 mg/day216 (25%)349 (26%)0.92 (0.72, 1.17)122 (27%)0.93 (0.67, 1.29)227 (25%)0.90 (0.69, 1.17)
< 604 mg/day176 (21%)205 (15%)0.69 (0.53,0.89)74 (16%)0.78 (0.53, 1.13)131 (14%)0.65 (0.49, 0.87)
p for Trendp=0.01p=0.22p=0.01

Total calcium from diet and supplements

All models adjusted for age, study site, socio-economic status and family history of prostate cancer

VDR Polymorphism and Prostate Cancer Risk

Cdx-2ControlsAll Cases vs. ControlsLocalized Cases vs. ControlsAdvanced Cases vs. Controls
African AmericansN=223N=414N=192N=222
N (%)N (%)OR (95% CI)N (%)OR (95% CI)N (%)OR (95% CI)
AA123 (55%)252 (61%)1.0 (ref)112 (58%)1.00 (ref)140 (63%)1.00 (ref)
AG78 (35%)137 (33%)0.88 (0.61, 1.27)66 (34%)1.06 (0.67, 1.66)71 (32%)0.78 (0.51, 1.18)
GG22 (10%)25 (6%)0.58 (0.31,1.09)14 (7%)0.74 (0.35,1.59)11 (5%)0.41 (0.19, 0.90)
p for Trendp= 0.12p = 0.06p= 0.02
White AmericansN=795N=1117N=285N=832
N (%)N (%)OR (95% CI)N (%)OR (95% CI)N (%)OR (95% CI)
AA43 (5%)64 (6%)1.0 (ref)23 (8%)1.00 (ref)4 (5%)1.00 (ref)
AG271 (34%)347 (31%)0.89 (0.58,1.36)90 (32%)0.58 (0.32, 1.07)257 (31%)0.95 (0.60, 1.52)
GG481 (61%)706 (63%)0.98 (0.64, 1.48)172 (60%)0.67 (0.37, 1.19)534 (64%)1.06 (0.68, 1.67)
p for Trendp= 0.58p = 0.66p = 0.38
Fok1
African AmericansN=234N=421N=196N=225
N (%)N (%)OR (95% CI)N (%)OR (95% CIN(%)OR (95% CI)
CC134 (57%)236 (56%)1.0 (ref)107 (55%)1.00 (ref)129 (57%)1.00 (ref)
CT90 (38%)161 (38%)1.02 (0.72, 1.43)75 (38%)1.09 (0.71, 1.67)86 (38%)1.01 (0.68, 1.50)
TT10 (4%)24 (6%)1.14 (0.51, 2.51)14 (7%)1.56 (0.63, 3.83)10 (4%)1.00 (0.39, 2.51)
p for Trendp= 0.80p= 0.39p= 0.97
White AmericansN=836N=1197N=316N=881
N (%)N (%)OR (95% CI)N (%)OR (95% CIN (%)OR (95% CI)
CC311 (37%)406 (34%)1.0 (ref)111 (35%)1.0 (ref)295 (33%)1.0 (ref)
CT413 (49%)598 (50%)1.06 (0.87, 1.30)164 (52%)1.04 (0.77, 1.41)434 (49%)1.10 (0.89, 1.35)
TT112 (13%)193 (16%)1.32 (0.99, 1.76)41 (13%)0.98 (0.62, 1.54)152 (17%)1.42 (1.06, 1.91)
p= 0.08p= 0.99p= 0.03
Taq1
African AmericansN=235N=421N=196N=225
N (%)N (%)OR (95% CI)N (%)OR (95% CIN (%)OR (95% CI)
TT118 (50%)211 (50%)1.0 (ref)90 (46%)1.00 (ref)121 (54%)1.00 (ref)
TC95 (40%)183 (43%)1.07 (0.76, 1.52)92 (47%)1.20 (0.79, 1.83)91 (40%)0.94 (0.63, 1.39)
CC22 (9%)27 (6%)0.71 (0.38, 1.32)14 (7%)0.79 (0.37, 1.72)13 (6%)0.52 (0.25, 1.11)
p for Trendp= 0.62p= 0.93p= 0.18
White AmericansN=837N=1196N=316N=880
N (%)N (%)OR (95% CI)N (%)OR (95% CIN (%)OR (95% CI)
TT333 (40%)512 (43%)1.0 (ref)133 (42%)1.00 (ref)379 (43%)1.00 (ref)
TC379 (45%)525 (44%)1.00 (0.82, 1.22)141 (45%)0.99 (0.73, 1.34)384 (44%)0.95 (0.77, 1.17)
CC125 (15%)159 (13%)0.97 (0.73, 1.28)42 (13%)0.94 (0.61, 1.46)117 (13%)0.90 (0.67, 1.22)
p=0.86p= 0.82p= 0.47

Total Calcium from diet and supplements

All Models adjusted for age, study site, SES and family history of prostate cancer

VDR Cdx-2 Polymorphism and Risk of Prostate Cancer, Stratified by Calcium Intake

Low Calcium(< 604 mg/day)High Calcium(≥ 604 mg/day)
African AmericansN (%)N (%)OR (95% CI)African AmericansN (%)N (%)OR (95% CI)
N = 91N = 104N = 132N = 310
AA50 (55%)70 (67%)1.0 (ref)AA73 (55%)182 (59%)1.0 (ref)
AG30 (33%)31 (30%)0.68 (0.35, 1.29)AG48 (36%)106 (34%)0.96 (0.61, 1.51)
GG11 (12%)3 ( 3%)0.18 (0.05, 0.73)GG11 ( 8%)22 ( 7%)0.86 (0.39, 1.90)
per G allele0.54 (0.33, 0.88)per G allele0.94 (0.68, 1.31)
LRT p for interaction p = 0.06
White AmericansN (%)N (%)OR (95% CI)White AmericansN (%)N (%)OR (95% CI)
N = 165N = 170N = 630N = 947
AA7 ( 4%)17 (10%)1.0 (ref)AA36 ( 6%)7 ( 5%)1.0 (ref)
AG50 (30%)64 (38%)0.53 (0.20, 1.41)AG221 (30%)283 (30%)1.02 (0.63, 1.66)
GG108 (65%)89 (52%)0.34 (0.31, 0.88)GG373 (59%)617 (65%)1.26 (0.79, 2.02)
per G allele0.61 (0.43, 0.88)per G allele1.18 (0.99, 1.41)
LRT p for interaction p = 0.001

Calcium = diet plus supplements

All models adjusted for age, Study Site, SES, and family history of prostate cancer

Calcium Intake and Risk of Prostate Cancer, Stratified ny VDR Cdx2 Polymorphism

All RacesControlsN=1018All Cases vs. ControlsN=1531
VDR Cdx2N (%)N (%)OR (95%)
AA GenotypeN=166N=316
High Calcium109 (66%)229 (72%)1.0 (ref)
Low Calcium57 (34%)87 (28%)0.76 (0.50, 1.15)
AG GenotypeN=349N=484
High Calcium269 (77%)389 (80%)1.0 (ref)
Low Calcium80 (23%)94 (20%)0.80 (0.57, 1.14)
GG GenotypeN=503N=731
High Calcium384 (76%)639(87%)1.0 (ref)
Low Calcium119 (24%)92 (13%)0.49 (0.36, 0.67)
LRTp for interactionp=0.05

Abbreviation: LRT, Likelihood Ratio Test

Total calcium from diet and supplements

Low Calcium (<604 mg/day); High Calcium (≥604 mg/day)

All models adjusted for age, study site, socio-economic status and family history of prostate cancer