Skip to main content
  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

AACR logo

  • Register
  • Log in
  • Log out
  • My Cart
Advertisement

Main menu

  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
    • Reviewing
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Progress and Priorities
    • Collections
      • COVID-19 & Cancer Resource Center
      • Disparities Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Informing Public Health Policy
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

  • AACR Publications
    • Blood Cancer Discovery
    • Cancer Discovery
    • Cancer Epidemiology, Biomarkers & Prevention
    • Cancer Immunology Research
    • Cancer Prevention Research
    • Cancer Research
    • Clinical Cancer Research
    • Molecular Cancer Research
    • Molecular Cancer Therapeutics

User menu

  • Register
  • Log in
  • Log out
  • My Cart

Search

  • Advanced search
Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
  • Home
  • About
    • The Journal
    • AACR Journals
    • Subscriptions
    • Permissions and Reprints
    • Reviewing
  • Articles
    • OnlineFirst
    • Current Issue
    • Past Issues
    • CEBP Focus Archive
    • Meeting Abstracts
    • Progress and Priorities
    • Collections
      • COVID-19 & Cancer Resource Center
      • Disparities Collection
      • Editors' Picks
      • "Best of" Collection
  • For Authors
    • Information for Authors
    • Author Services
    • Best of: Author Profiles
    • Informing Public Health Policy
    • Submit
  • Alerts
    • Table of Contents
    • Editors' Picks
    • OnlineFirst
    • Citation
    • Author/Keyword
    • RSS Feeds
    • My Alert Summary & Preferences
  • News
    • Cancer Discovery News
  • COVID-19
  • Webinars
  • Search More

    Advanced Search

Research Articles

Vitamin D Receptor and Calcium Sensing Receptor Polymorphisms and the Risk of Colorectal Cancer in European Populations

Mazda Jenab, James McKay, Hendrik B. Bueno-de-Mesquita, Franzel J.B. van Duijnhoven, Pietro Ferrari, Nadia Slimani, Eugène H.J.M. Jansen, Tobias Pischon, Sabina Rinaldi, Anne Tjønneland, Anja Olsen, Kim Overvad, Marie-Christine Boutron-Ruault, Françoise Clavel-Chapelon, Pierre Engel, Rudolf Kaaks, Jakob Linseisen, Heiner Boeing, Eva Fisher, Antonia Trichopoulou, Vardis Dilis, Erifili Oustoglou, Franco Berrino, Paolo Vineis, Amalia Mattiello, Giovanna Masala, Rosario Tumino, Alina Vrieling, Carla H. van Gils, Petra H. Peeters, Magritt Brustad, Eiliv Lund, María-Dolores Chirlaque, Aurelio Barricarte, Laudina Rodríguez Suárez, Esther Molina, Miren Dorronsoro, Núria Sala, Göran Hallmans, Richard Palmqvist, Andrew Roddam, Timothy J. Key, Kay-Tee Khaw, Sheila Bingham, Paolo Boffetta, Philippe Autier, Graham Byrnes, Teresa Norat and Elio Riboli
Mazda Jenab
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
James McKay
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hendrik B. Bueno-de-Mesquita
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Franzel J.B. van Duijnhoven
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Pietro Ferrari
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Nadia Slimani
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eugène H.J.M. Jansen
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Tobias Pischon
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sabina Rinaldi
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anne Tjønneland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Anja Olsen
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kim Overvad
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Marie-Christine Boutron-Ruault
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Françoise Clavel-Chapelon
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Pierre Engel
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rudolf Kaaks
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jakob Linseisen
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Heiner Boeing
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eva Fisher
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Antonia Trichopoulou
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Vardis Dilis
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Erifili Oustoglou
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Franco Berrino
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Paolo Vineis
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Amalia Mattiello
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Giovanna Masala
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Rosario Tumino
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alina Vrieling
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Carla H. van Gils
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Petra H. Peeters
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Magritt Brustad
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Eiliv Lund
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
María-Dolores Chirlaque
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Aurelio Barricarte
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Laudina Rodríguez Suárez
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Esther Molina
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Miren Dorronsoro
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Núria Sala
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Göran Hallmans
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Richard Palmqvist
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andrew Roddam
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Timothy J. Key
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Kay-Tee Khaw
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Sheila Bingham
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Paolo Boffetta
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Philippe Autier
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Graham Byrnes
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Teresa Norat
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Elio Riboli
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DOI: 10.1158/1055-9965.EPI-09-0319 Published September 2009
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Increased levels of vitamin D and calcium may play a protective role in colorectal cancer (CRC) risk. It has been suggested that these effects may be mediated by genetic variants of the vitamin D receptor (VDR) and the calcium sensing receptor (CASR). However, current epidemiologic evidence from European populations for a role of these genes in CRC risk is scarce. In addition, it is not clear whether these genes may modulate CRC risk independently or by interaction with blood vitamin D concentration and level of dietary calcium intake. A case-control study was conducted nested within the European Prospective Investigation into Cancer and Nutrition. CRC cases (1,248) were identified and matched to 1,248 control subjects. Genotyping for the VDR (BsmI: rs1544410; Fok1: rs2228570) and CASR (rs1801725) genes was done by Taqman, and serum vitamin D (25OHD) concentrations were measured. Conditional logistic regression was used to estimate the incidence rate ratio (RR). Compared with the wild-type bb, the BB genotype of the VDR BsmI polymorphism was associated with a reduced risk of CRC [RR, 0.76; 95% confidence interval (CI), 0.59-0.98). The association was observed for colon cancer (RR, 0.69; 95% CI, 0.45-0.95) but not rectal cancer (RR, 0.97; 95% CI, 0.62-1.49). The Fok1 and CASR genotypes were not associated with CRC risk in this study. No interactions were noted for any of the polymorphisms with serum 25OHD concentration or level of dietary calcium. These results confirm a role for the BsmI polymorphism of the VDR gene in CRC risk, independent of serum 25OHD concentration and dietary calcium intake. (Cancer Epidemiol Biomarkers Prev 2009;18(9):2485‐91)

  • colorectal cancer
  • genetic
  • vitamin D receptor

Introduction

Higher blood concentration of vitamin D has been shown to be colorectal cancer (CRC) protective in different populations (1-4). Although the main function of vitamin D is calcium homeostasis, it has also been shown to be involved in the modulation of cell cycle kinetics in the colorectum and other tissues (5-7). Many of the actions of vitamin D are thought to be mediated by the vitamin D receptor (VDR), a member of the nuclear receptor superfamily that is present in different cell types. The VDR can also regulate other vitamin D inducible genes involved in processes of inflammation, immune function, estrogen metabolism, insulin-like growth factor-I signaling, and regulation of intestinal calcium absorption (8-10). Its importance in modulating cancer risk has been experimentally highlighted in vitro and in vivo (8).

It is possible that the effects of vitamin D may differ among individuals depending on variations in the activity of the VDR. A number of VDR polymorphisms have been identified [BsmI, TaqI, Tru91, Apa1, and polyA—all in linkage disequilibrium; Fok1 and CDX2 (11)], and although some are thought to be functionally important (12), much remains unknown about how they may affect carcinogenesis. Nevertheless, given the importance of the gene, a number of studies have explored the role of VDR polymorphisms in modulating cancer risk in various tissues.

With respect to colorectal adenomas, epidemiologic studies conducted primarily in North American populations have shown no associations for the BsmI (13-15), TaqI (15-17), FokI (15, 17, 18), or other VDR genotypes (15). However, in other studies, an effect modification has been observed with lower dietary intake levels of either calcium, vitamin D, or dairy products leading to reduced risk of colorectal adenomas with the BB genotype of the BsmI (14), the ff genotype of the Fok1 (13), or the aA/AA genotype of the ApaI VDR genotypes (15). Considering cancer end points, studies on North American populations suggest that the BsmI BB or PolyA SS VDR genotypes may be associated with a reduced risk of cancer in the colon (19) and possibly in the rectum (20). In addition, the VDR Fok1 FF genotype has been associated with an increased risk of colon cancer in some North American (21) and South Asian populations (22). However, no data are currently available for any of these genotypes from European populations, and it is unclear to what extent any VDR-CRC risk association may be dependent on circulating vitamin D (25OHD) concentrations or level of dietary calcium intake.

Vitamin D metabolism may also be affected by signaling from the calcium sensing receptor (CASR), which is key to extracellular calcium homeostasis, plays a role in cellular growth kinetics, and influences parathyroid hormone secretion (23, 24). It has been suggested that the CASR may have a role in carcinogenesis (25). In a recent study of haplotypes based on three CASR polymoprhisms, the most common haplotype pair was associated with an increased risk of advanced adenoma compared with the next three common pairs (26). But it is not yet clear whether variability in the CASR gene may influence CRC risk.

A nested case-control study was conducted within the European Prospective Investigation into Cancer and Nutrition (EPIC) to assess the role of VDR and CASR polymorphisms in CRC risk and determine any possible interactions with serum vitamin D concentration, dietary calcium intake, and other dietary and life-style parameters.

Subjects and Methods

Study Population

The rationale and methods of the EPIC study including information on dietary assessment methodology, blood collection protocols, and follow-up procedures have been previously reviewed in detail (27). EPIC is a large prospective study with over 520,000 subjects enrolled and consists of 23 centers in Denmark, France, Greece, Germany, Italy, the Netherlands, Norway, Spain, Sweden, and United Kingdom. Between 1992 and 1998, standardized life-style and personal history questionnaires, detailed dietary intake assessments (validated country-specific questionnaires; diet over previous 12 mo), anthropometric data, and blood samples were collected from most participants. Values for dietary intake of vitamin D and calcium were computed using country-specific food composition tables (no intake data for these variables was available from Greece). The present study was approved by the Ethical Review Board of the IARC and those of all EPIC centers. All EPIC participants have provided written consent for the use of their blood samples and all data.

Nested Case-Control Design and Subject Selection

Case Ascertainment and Selection

For the present study, cancers were defined according to the 10th Revision of the International Statistical Classification of Diseases, Injury, and Causes of Death as colon (C18.0-C18.9) and rectum (C19, C20). Anal canal tumors were excluded. CRC is defined as a combination of the colon and rectal cancer cases.

After exclusions (56 cases for missing information on fasting status, 31 cases due to missing laboratory 25OHD data from either assay failure or insufficient serum volume in either member of a case-control set), a total of 1,248 first incident CRC cases (number of colon cancer, 785; number of rectal cancer, 463) with existing measures for serum 25OHD were identified for the present study. Cases were not selected from Norway (blood samples only recently collected; few CRCs diagnosed after blood donation) and the Malmo center of Sweden. The distribution of cases (colon/rectum) by country was as follows: Denmark, 186/167; France, 28/8; Greece, 12/14; Germany, 93/55; Italy, 104/42; the Netherlands, 93/48; Spain, 78/41; United Kingdom, 150/64; and Sweden, 41/24. Some subjects were excluded due to incomplete genotyping data. Thus, the final number of complete case-control sets used were as follows: VDR BsmI (number of colon, 689; number of rectal, 402), VDR Fok1 (number of colon, 676; number of rectal, 401), and CASR (number of colon, 729; number of rectal, 431).

Control Selection

Controls were selected by incidence density sampling from all cohort members alive and free of cancer at the time of diagnosis of the cases and were matched by age (± 6 mo at recruitment), gender, study center, time of the day at blood collection, and fasting status at the time of blood collection (<3, 3-6, >6 h). Women were further matched by menopausal status (premenopausal, postmenopausal, perimenopausal/unknown), phase of menstrual cycle at blood collection (to account for potential differences in blood analyte levels by these factors), and usage of hormone replacement therapy at time of blood collection (yes/no). The latter matching criteria were of necessity to other EPIC nested case-control studies that were being conducted using the same matched case-control sets.

Serum 25OHD Concentration

Vitamin D status was quantitatively determined by measuring 25OHD in 25 μL of serum (heparin plasma for Swedish samples) using a commercially available enzyme immunoassay kit (OCTEIA 25OHD kit; Immuno Diagnostic Systems) at the Laboratory for Health Protection Research, National Institute for Public Health and the Environment, the Netherlands.

Genotyping

The VDR (BsmI: rs1544410, 60890G>A; Fok1: rs2228570, 27823T>C) and CASR (A986S; rs1801725, G>T) polymorphisms were genotyped by Taqman methodology in 384-well plates read with the Sequence Detection Software on an ABI-Prism7900 instrument, according to the manufacturer's instructions (Applied Biosystems). Primers and probes were supplied by Applied Biosystems (Assays-by-Design). Each plate included a negative control (no DNA). Positive controls were duplicated on a separate plate. For all genotypes, the assay success rate was >97% and the internal study duplicate rate was >99%. Failed genotypes were not repeated. For all analyses, laboratory technicians were blinded to the case-control status of the samples.

Statistical Methods

For the analysis of VDR and CASR polymorphisms, Hardy-Weinberg equilibrium was tested for each polymorphism in the control subjects using a χ2 test. Conditional logistic regression, stratified by the case-control set, was used to estimate the cancer risk association and 95% confidence intervals (95% CI) for each single nucleotide polymorphism (SNP; SAS statistical software, version 9, SAS Institute). In a nested case-control study where controls are selected using incidence density sampling, this procedure estimates the incidence rate ratio (RR), which, given the rarity of the disease, is approximately equal to the odds ratio (28). The two statistical models used were as follows: (a) univariate analyses based on the matching factors and (b) multivariate adjusted analyses incorporating additional adjustments for potential confounders including body mass index (kg/m2), physical activity (combined recreational and household activity; expressed as sex-specific categories of metabolic equivalents or METS), smoking duration/status/intensity (variable categories: never-smokers, ex-smokers who smoked for <10 y, ex-smokers who smoked for ≥10 y, smokers who smoke <15 cigarettes/d, smokers who smoke between 15-25 cigarettes/d, smokers who smoke ≥25 cigarettes/d, and missing), level of schooling (an indicator variable for socioeconomic status), total energy intake (in quartiles), total intake of fruits (in quartiles), total intake of vegetables (in quartiles), total intake of meats/meat products (in quartiles), and total alcohol intake (sex specific categorical cut-points: men, nonconsumers, 1-10, 11-20, 21-40, >40 grams/d; women, nonconsumers, 1-5, 6-15, 16-25, >25 grams/d). For all analyses, the reference genotype was defined as the homozygous (wild-type) allele. All main effects analysis models were run for colon and rectum combined (i.e., CRC) as well as separately. Tests for linear trend were done using a score variable with values from one to three consistent with the VDR genotype groupings. For all polymorphisms, no meaningful differences were noted between the matching factors and multivariate adjusted models so all results refer to the latter, unless otherwise specified.

Because it is postulated that the VDR enact many functions of vitamin D, particularly those affecting cell cycle kinetics, a potential interaction of VDR genotypes and serum 25OHD concentration on CRC risk was explored by including a single degree of freedom interaction term formed by the product of VDR genotype (designated as 0, 1, or 2) and the value of three categories of 25OHD concentration [cut points determined on the basis of proposed levels of vitamin D insufficiency/sufficiency (29-32): category 1, <50.0 nmol/L (<20.0 ng/mL); category 2, ≥50.0 to <75.0 nmol/L (≥20.0 to <30.0 ng/mL; category 3, ≥75.0 nmol/L (≥30.0 ng/mL)]. For these analyses, the multivariate-adjusted model was used.

Potential interaction with the level of dietary calcium intake (in tertiles) was similarly assessed for all the polymorphisms. In addition, given that body weight and gender may modify the VDR-CRC risk association (33-35), any possible interactions between these variables and all the polymorphisms were carefully assessed. In all analyses, P values for interaction were assessed by the likelihood ratio test.

At each level of the BsmI VDR genotype, differences in serum 25OHD concentration between cases and controls were assessed by t tests. To further examine the association between genotype and serum 25OHD concentration, a nonzero linear trend was tested in serum 25OHD concentration against BsmI VDR minor allele count, separately in cases and controls. Similar approaches were taken for the BsmI VDR genotype and dietary calcium.

Results

Baseline characteristics and description of the study population are shown in Table 1. All polymorphisms were in Hardy-Weinberg equilibrium. Serum 25OHD concentration and dietary calcium levels did not vary across genotypes for any of the polymorphisms (data for VDR BsmI summarized in Table 3; data for VDR Fok1 and CASR were not shown). In the multivariate adjusted model, the BB genotype of the VDR BsmI showed a significant negative association with risk of CRC (RR, 0.76; 95% CI, 0.59-0.98; Ptrend = 0.10). This association was observed for colon cancer (RR, 0.69; 95% CI, 0.45-0.95; Ptrend = 0.05) but not rectal cancer (RR, 0.97; 95% CI, 0.62-1.49; Ptrend = 0.81). No meaningful or statistically significant cancer risk associations were noted for either the VDR Fok1 or CASR polymorphisms (Table 2).

View this table:
  • View inline
  • View popup
Table 1.

Description of cases and matched controls, by colon and rectal anatomical site groupings

View this table:
  • View inline
  • View popup
Table 2.

The association of VDR BsmI, VDR Fok1, and CASR genotypes and risk of cancers of the colorectum, colon and rectum

The association between VDR BsmI polymorphism and CRC risk did not show a statistically significant interaction with serum 25OHD concentration (P = 0.43) or level of dietary calcium intake (P = 0.72). However, given that the actions of vitamin D are mediated by the VDR and that calcium homeostasis is a main function of vitamin D, interaction analyses were done anyway as described in the statistical methods section. The negative association of the BB genotype was most apparent at a serum 25OHD concentration of ≥75.0 nmol/l (RR, 0.41; 95% CI, 0.24-0.69; Table 3). For dietary calcium, interaction analysis shows that higher intake is associated with a decreased CRC risk, particularly for the BB genotype of the VDR BsmI polymorphism (Table 3). No significant linear trends were observed in cases and controls between genotype and serum 25OHD concentration or dietary calcium levels. At each level of the VDR BsmI polymorphism, serum 25OHD concentration was significantly higher in controls than cases. There were no significant differences between cases and controls in dietary calcium intake (Table 3).

View this table:
  • View inline
  • View popup
Table 3.

Risk estimates for an interaction on colorectal cancer risk interaction between increasing levels of serum 25OHD or dietary calcium intake and VDR BsmI genotype

No statistically significant CRC risk interactions were observed for the other polymorphisms with either serum 25OHD concentration (VDR Fok1 P = 0.40; CASR P = 0.36) or dietary calcium (VDR Fok1 P = 0.97; CASR P = 0.22). Interaction analyses for these variables were not meaningful (data not shown). None of the polymorphisms showed any interactions with body weight or gender.

Discussion

The results of this nested case-control study show an inverse CRC risk association for the BB genotype of the BsmI (rs1544410) VDR polymorphism. This association was observed in the colon and not the rectum anatomic site. Although no statistically significant interactions were identified, the inverse CRC risk associations of either higher serum 25OHD concentration or increased intake level of dietary calcium were more clearly observed with the BB than the other VDR BsmI genotypes. No CRC risk associations were observed for the VDR Fok1 (rs2228570) or CASR (rs1801725) polymorphisms.

There is epidemiologic evidence for a role of some VDR polymorphisms not only in CRC risk, but in several other cancers as well (36). Results from studies on adenomas and CRC primarily indicate either no association or a reduced risk for the B allele of the VDR BsmI (13-15, 20). Similarly, previous findings for the f allele of the VDR Fok1 are either null (15, 17-19) or conflicting (decreased risk of large adenoma, ref. 13; decreased, ref. 22; or increased risk of CRC, ref. 37). Although these polymorphisms may have functional significance, their role in CRC risk is far from clear. The VDR BsmI polymorphism analyzed here is intronic and is in strong linkage disequilibrium with the poly(A) sequence in the 3′ untranslated region whose length may determine mRNA stability and hence affect local VDR protein levels (19, 38). But it is not clear whether in fact the BsmI allele has an effect on the expression level or activity of the translated VDR protein (12). The Fok1 polymorphism is in the 5′ promoter region of the VDR, within the DNA binding domain, and its f allele results in the production of a VDR protein with reduced effectiveness as a transcriptional activator (8). It is clear that a better understanding of VDR-mediated vitamin D function is necessary (39). In fact, limitations in the current understanding of the VDR leave open the possibility that any observed associations with cancer risk may be due to the functions of another nearby site or even to a different gene (12).

In the present study, the potential interaction between the VDR polymorphisms and serum 25OHD concentration was assessed. Although the interactions were not statistically significant, the inverse CRC risk association of the BB genotype of the VDR BsmI polymorphism seemed to be more clearly observable with higher 25OHD concentration or increased intake of dietary calcium. It is possible that despite the relatively large sample size of the present study, which is sufficient for observing the main effects, it still lacks statistical power to clearly observe any possible or subtle gene-nutrient interactions. The same is true for previous studies that have also considered an interaction between VDR and circulating 25OHD levels (16). Although many of the functions of vitamin D are thought to be enacted via the VDR, vitamin D may also have some important non VDR-mediated functions (39). As well, the possibility of alternative receptors for vitamin D metabolites has been suggested (40). Thus, it may be speculated that the vitamin D–CRC risk association is somewhat VDR independent. Nevertheless, the potential interaction is biologically meaningful and should be explored in greater detail with respect to the risk of CRC and other cancers.

Other studies in North American (20) and Singapore-Chinese (37) populations have also considered a gene-nutrient interaction between VDR and dietary calcium. The results of the latter study showed that the ff genotype of VDR Fok1 is associated with a significantly higher CRC risk only with low calcium and low fat intake (37), whereas the findings in the North American population showed little interaction (20), in line with the present results.

It is possible that analysis of VDR haplotypes may reveal further information about the VDR-CRC risk association, but results to date from various populations have been inconsistent (11, 41-43) and further research is required in this area.

In addition to the VDR polymorphisms, a polymorphism in the CASR gene was also analyzed in the present study. The CASR is potentially important because it is key to extracellular calcium homeostasis, plays a role in cellular growth kinetics, influences PTH secretion, and may affect vitamin D metabolism (23, 24). The promoter region of the CASR gene contains a vitamin D response element, suggesting a potential regulation by vitamin D (44). CASR polymorphisms have been shown to be associated with the risk of colorectal adenomas (26) and increasing stage of rectal cancer (45). However, findings were overall null in a recent comprehensive study of various CASR polymorphisms and haplotypes and the risk of colon cancer (46). The present results also showed no association with cancer risk, nor any meaningful interactions with serum 25OHD or dietary calcium levels. However, the important functions of the CASR indicate its potential association with CRC risk should be studied greater detail.

In summary, this relatively large study is the first in a Western European population to assess the association of polymorphisms in the VDR and CASR genes with risk of CRC. The results show an inverse CRC risk association for the BB genotype of the VDR BsmI polymorphism, but not for the other polymorphisms assessed, none of which showed a statistically significant interaction with circulating 25OHD levels, dietary calcium intake, or other dietary and life-style factors in modifying CRC risk. Better-powered studies are necessary to more clearly explore any possible gene-diet–life-style interactions.

Disclosure of Potential Conflicts of Interest

No potential conflicts of interest were disclosed.

Acknowledgments

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

Footnotes

  • Grant support: World Cancer Research Fund for grant funding. We thank the World Cancer Research Fund (London, United Kingdom) for grant funding for the present study (grant number 2005/12). The European Prospective Investigation into Cancer and Nutrition study was funded by “Europe Against Cancer” Programme of the European Commission; Ligue contre le Cancer (France); Société 3M (France); Mutuelle Générale de l'Education Nationale; Institut National de la Santé et de la Recherche Médicale; German Cancer Aid; German Cancer Research Center; German Federal Ministry of Education and Research; Danish Cancer Society; Health Research Fund of the Spanish Ministry of Health (RETIC-RD06/0020); the participating regional governments and institutions of Spain; The ISCIII Red de Centro RCESP (C03/09); Cancer Research UK; Medical Research Council, UK; the Stroke Association, UK; British Heart Foundation; Department of Health, UK; Food Standards Agency, UK; the Wellcome Trust, UK; Greek Ministry of Health and Social Solidarity; Hellenic Health Foundation and Stavros Niarchos Foundation; Greek Ministry of Education; Italian Association for Research on Cancer; Italian National Research Council; Compagnia di San Paolo; Dutch Ministry of Public Health, Welfare and Sports; Dutch Ministry of Health; Dutch Prevention Funds; LK Research Funds; Dutch ZON (Zorg Onderzoek Nederland); World Cancer Research Fund; Swedish Cancer Society; Swedish Scientific Council; Regional Governments of Skane and Vasterbotten, Sweden; and the Norwegian Cancer Society.

    • Received April 7, 2009.
    • Revision received May 29, 2009.
    • Accepted July 9, 2009.

References

  1. ↵
    1. Gorham ED,
    2. Garland CF,
    3. Garland FC,
    4. et al
    . Optimal vitamin D status for colorectal cancer prevention: a quantitative meta analysis. Am J Prev Med 2007;32:210–6.
    OpenUrlCrossRefPubMed
    1. Giovannucci E
    . The epidemiology of vitamin D and colorectal cancer: recent findings. Curr Opin Gastroenterol 2006;22:24–9.
    OpenUrlCrossRefPubMed
    1. Giovannucci E
    . Epidemiological evidence for vitamin D and colorectal cancer. J Bone Miner Res 2007;22 Suppl 2:V81–5.
    OpenUrl
  2. ↵
    1. Grant WB,
    2. Garland CF
    . A critical review of studies on vitamin D in relation to colorectal cancer. Nutr Cancer 2004;48:115–23.
    OpenUrlCrossRefPubMed
  3. ↵
    1. Zhuang SH,
    2. Burnstein KL
    . Antiproliferative effect of 1α,25-dihydroxyvitamin D3 in human prostate cancer cell line LNCaP involves reduction of cyclin-dependent kinase 2 activity and persistent G1 accumulation. Endocrinology 1998;139:1197–207.
    OpenUrlCrossRefPubMed
    1. Chouvet C,
    2. Vicard E,
    3. Devonec M,
    4. et al
    . 1,25-Dihydroxyvitamin D3 inhibitory effect on the growth of two human breast cancer cell lines (MCF-7, BT-20). J Steroid Biochem 1986;24:373–6.
    OpenUrlCrossRefPubMed
  4. ↵
    1. Gonzalez-Sancho JM,
    2. Larriba MJ,
    3. Ordonez-Moran P,
    4. et al
    . Effects of 1α,25-dihydroxyvitamin D3 in human colon cancer cells. Anticancer Res 2006;26:2669–81.
    OpenUrlAbstract/FREE Full Text
  5. ↵
    1. Thorne J,
    2. Campbell MJ
    . The vitamin D receptor in cancer. Proc Nutr Soc 2008;67:115–27.
    OpenUrlCrossRefPubMed
    1. Jones G,
    2. Strugnell SA,
    3. DeLuca HF
    . Current understanding of the molecular actions of vitamin D. Physiol Rev 1998;78:1193–231.
    OpenUrlAbstract/FREE Full Text
  6. ↵
    1. Uitterlinden AG,
    2. Fang Y,
    3. van Meurs JB,
    4. et al
    . Vitamin D receptor gene polymorphisms in relation to Vitamin D related disease states. J Steroid Biochem Mol Biol 2004;89–90:187–93.
    OpenUrl
  7. ↵
    1. Slattery ML,
    2. Herrick J,
    3. Wolff RK,
    4. et al
    . CDX2 VDR polymorphism and colorectal cancer. Cancer Epidemiol Biomarkers Prev 2007;16:2752–55.
    OpenUrlAbstract/FREE Full Text
  8. ↵
    1. Dusso AS,
    2. Brown AJ,
    3. Slatopolsky E
    . Vitamin D. Am J Physiol Renal Physiol 2005;289:F8–28.
    OpenUrlAbstract/FREE Full Text
  9. ↵
    1. Ingles SA,
    2. Wang J,
    3. Coetzee GA,
    4. et al
    . Vitamin D receptor polymorphisms and risk of colorectal adenomas (United States). Cancer Causes Control 2001;12:607–14.
    OpenUrlCrossRefPubMed
  10. ↵
    1. Kim HS,
    2. Newcomb PA,
    3. Ulrich CM,
    4. et al
    . Vitamin D receptor polymorphism and the risk of colorectal adenomas: evidence of interaction with dietary vitamin D and calcium. Cancer Epidemiol Biomarkers Prev 2001;10:869–74.
    OpenUrlAbstract/FREE Full Text
  11. ↵
    1. Hubner RA,
    2. Muir KR,
    3. Liu JF,
    4. et al
    . Dairy products, polymorphisms in the vitamin D receptor gene and colorectal adenoma recurrence. Int J Cancer 2008;123:586–93.
    OpenUrlCrossRefPubMed
  12. ↵
    1. Peters U,
    2. Hayes RB,
    3. Chatterjee N,
    4. et al
    . Circulating vitamin D metabolites, polymorphism in vitamin D receptor, and colorectal adenoma risk. Cancer Epidemiol Biomarkers Prev 2004;13:546–52.
    OpenUrlAbstract/FREE Full Text
  13. ↵
    1. Grau MV,
    2. Baron JA,
    3. Sandler RS,
    4. et al
    . Vitamin D, calcium supplementation, and colorectal adenomas: results of a randomized trial. J Natl Cancer Inst 2003;95:1765–71.
    OpenUrlAbstract/FREE Full Text
  14. ↵
    1. Peters U,
    2. McGlynn KA,
    3. Chatterjee N,
    4. et al
    . Vitamin D, calcium, and vitamin D receptor polymorphism in colorectal adenomas. Cancer Epidemiol Biomarkers Prev 2001;10:1267–74.
    OpenUrlAbstract/FREE Full Text
  15. ↵
    1. Slattery ML,
    2. Yakumo K,
    3. Hoffman M,
    4. et al
    . Variants of the VDR gene and risk of colon cancer (United States). Cancer Causes Control 2001;12:359–64.
    OpenUrlCrossRefPubMed
  16. ↵
    1. Slattery ML,
    2. Neuhausen SL,
    3. Hoffman M,
    4. et al
    . Dietary calcium, vitamin D, VDR genotypes and colorectal cancer. Int J Cancer 2004;111:750–6.
    OpenUrlCrossRefPubMed
  17. ↵
    1. Slattery ML,
    2. Murtaugh M,
    3. Caan B,
    4. et al
    . Associations between BMI, energy intake, energy expenditure, VDR genotype and colon and rectal cancers (United States). Cancer Causes Control 2004;15:863–72.
    OpenUrlCrossRefPubMed
  18. ↵
    1. Park K,
    2. Woo M,
    3. Nam J,
    4. et al
    . Start codon polymorphisms in the vitamin D receptor and colorectal cancer risk. Cancer Lett 2006;237:199–206.
    OpenUrlCrossRefPubMed
  19. ↵
    1. Chattopadhyay N,
    2. Evliyaoglu C,
    3. Heese O,
    4. et al
    . Regulation of secretion of PTHrP by Ca(2+)-sensing receptor in human astrocytes, astrocytomas, and meningiomas. Am J Physiol Cell Physiol 2000;279:C691–9.
    OpenUrlAbstract/FREE Full Text
  20. ↵
    1. Chattopadhyay N
    . Biochemistry, physiology and pathophysiology of the extracellular calcium-sensing receptor. Int J Biochem Cell Biol 2000;32:789–804.
    OpenUrlCrossRefPubMed
  21. ↵
    1. Rodland KD
    . The role of the calcium-sensing receptor in cancer. Cell Calcium 2004;35:291–5.
    OpenUrlCrossRefPubMed
  22. ↵
    1. Peters U,
    2. Chatterjee N,
    3. Yeager M,
    4. et al
    . Association of genetic variants in the calcium-sensing receptor with risk of colorectal adenoma. Cancer Epidemiol Biomarkers Prev 2004;13:2181–6.
    OpenUrlAbstract/FREE Full Text
  23. ↵
    1. Riboli E,
    2. Hunt KJ,
    3. Slimani N,
    4. et al
    . European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr 2002;5:1113–24.
    OpenUrlCrossRefPubMed
  24. ↵
    1. Knol MJ,
    2. Vandenbroucke JP,
    3. Scott P,
    4. et al
    . What do case-control studies estimate? survey of methods and assumptions in published case-control research. Am J Epidemiol 2008.
  25. ↵
    1. Hanley DA,
    2. Davison KS
    . Vitamin D insufficiency in North America. J Nutr 2005;135:332–7.
    OpenUrlAbstract/FREE Full Text
    1. Holick MF
    . Vitamin D status: measurement, interpretation, and clinical application. Ann Epidemiol 2008.
    1. Hollis BW
    . Circulating 25-hydroxyvitamin D levels indicative of vitamin D sufficiency: implications for establishing a new effective dietary intake recommendation for vitamin D. J Nutr 2005;135:317–22.
    OpenUrlAbstract/FREE Full Text
  26. ↵
    1. Lips P
    . Which circulating level of 25-hydroxyvitamin D is appropriate? J Steroid Biochem Mol Biol 2004;89–90:611–4.
    OpenUrl
  27. ↵
    1. Wortsman J,
    2. Matsuoka LY,
    3. Chen TC,
    4. et al
    . Decreased bioavailability of vitamin D in obesity. Am J Clin Nutr 2000;72:690–3.
    OpenUrlAbstract/FREE Full Text
    1. Bolland MJ,
    2. Grey AB,
    3. Ames RW,
    4. et al
    . Age-, gender-, and weight-related effects on levels of 25-hydroxyvitamin D are not mediated by vitamin D binding protein. Clin Endocrinol (Oxf) 2007;67:259–64.
    OpenUrlCrossRefPubMed
  28. ↵
    1. Hagenau T,
    2. Vest R,
    3. Gissel TN,
    4. et al
    . Global vitamin D levels in relation to age, gender, skin pigmentation and latitude: an ecologic meta-regression analysis. Osteoporos Int 2008.
  29. ↵
    1. Slattery ML
    . Vitamin D receptor gene (VDR) associations with cancer. Nutr Rev 2007;65:S102–4.
    OpenUrlCrossRefPubMed
  30. ↵
    1. Wong HL,
    2. Seow A,
    3. Arakawa K,
    4. et al
    . Vitamin D receptor start codon polymorphism and colorectal cancer risk: effect modification by dietary calcium and fat in Singapore Chinese. Carcinogenesis 2003;24:1091–5.
    OpenUrlAbstract/FREE Full Text
  31. ↵
    1. Ingles SA,
    2. Haile RW,
    3. Henderson BE,
    4. et al
    . Strength of linkage disequilibrium between two vitamin D receptor markers in five ethnic groups: implications for association studies. Cancer Epidemiol Biomarkers Prev 1997;6:93–8.
    OpenUrlAbstract
  32. ↵
    1. Mehta RG,
    2. Mehta RR
    . Vitamin D and cancer. J Nutr Biochem 2002;13:252–64.
    OpenUrlCrossRefPubMed
  33. ↵
    1. Khanal R,
    2. Nemere I
    . Membrane receptors for vitamin D metabolites. Crit Rev Eukaryot Gene Expr 2007;17:31–47.
    OpenUrlPubMed
  34. ↵
    1. Ochs-Balcom HM,
    2. Cicek MS,
    3. Thompson CL,
    4. et al
    . Association of vitamin D receptor gene variants, adiposity and colon cancer. Carcinogenesis 2008;29:1788–93.
    OpenUrlAbstract/FREE Full Text
    1. Sweeney C,
    2. Curtin K,
    3. Murtaugh MA,
    4. et al
    . Haplotype analysis of common vitamin D receptor variants and colon and rectal cancers. Cancer Epidemiol Biomarkers Prev 2006;15:744–9.
    OpenUrlAbstract/FREE Full Text
  35. ↵
    1. Flugge J,
    2. Krusekopf S,
    3. Goldammer M,
    4. et al
    . Vitamin D receptor haplotypes protect against development of colorectal cancer. Eur J Clin Pharmacol 2007;63:997–1005.
    OpenUrlCrossRefPubMed
  36. ↵
    1. Canaff L,
    2. Hendy GN
    . Human calcium-sensing receptor gene. Vitamin D response elements in promoters P1 and P2 confer transcriptional responsiveness to 1,25-dihydroxyvitamin D. J Biol Chem 2002;277:30337–50.
    OpenUrlAbstract/FREE Full Text
  37. ↵
    1. Speer G,
    2. Cseh K,
    3. Mucsi K,
    4. et al
    . Calcium-sensing receptor A986S polymorphism in human rectal cancer. Int J Colorectal Dis 2002;17:20–4.
    OpenUrlCrossRefPubMed
  38. ↵
    1. Dong LM,
    2. Ulrich CM,
    3. Hsu L,
    4. et al
    . Genetic variation in calcium-sensing receptor and risk for colon cancer. Cancer Epidemiol Biomarkers Prev 2008;17:2755–65.
    OpenUrlAbstract/FREE Full Text
View Abstract
PreviousNext
Back to top
Cancer Epidemiology Biomarkers & Prevention: 18 (9)
September 2009
Volume 18, Issue 9
  • Table of Contents
  • Table of Contents (PDF)

Sign up for alerts

View this article with LENS

Open full page PDF
Article Alerts
Sign In to Email Alerts with your Email Address
Email Article

Thank you for sharing this Cancer Epidemiology, Biomarkers & Prevention article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Vitamin D Receptor and Calcium Sensing Receptor Polymorphisms and the Risk of Colorectal Cancer in European Populations
(Your Name) has forwarded a page to you from Cancer Epidemiology, Biomarkers & Prevention
(Your Name) thought you would be interested in this article in Cancer Epidemiology, Biomarkers & Prevention.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Citation Tools
Vitamin D Receptor and Calcium Sensing Receptor Polymorphisms and the Risk of Colorectal Cancer in European Populations
Mazda Jenab, James McKay, Hendrik B. Bueno-de-Mesquita, Franzel J.B. van Duijnhoven, Pietro Ferrari, Nadia Slimani, Eugène H.J.M. Jansen, Tobias Pischon, Sabina Rinaldi, Anne Tjønneland, Anja Olsen, Kim Overvad, Marie-Christine Boutron-Ruault, Françoise Clavel-Chapelon, Pierre Engel, Rudolf Kaaks, Jakob Linseisen, Heiner Boeing, Eva Fisher, Antonia Trichopoulou, Vardis Dilis, Erifili Oustoglou, Franco Berrino, Paolo Vineis, Amalia Mattiello, Giovanna Masala, Rosario Tumino, Alina Vrieling, Carla H. van Gils, Petra H. Peeters, Magritt Brustad, Eiliv Lund, María-Dolores Chirlaque, Aurelio Barricarte, Laudina Rodríguez Suárez, Esther Molina, Miren Dorronsoro, Núria Sala, Göran Hallmans, Richard Palmqvist, Andrew Roddam, Timothy J. Key, Kay-Tee Khaw, Sheila Bingham, Paolo Boffetta, Philippe Autier, Graham Byrnes, Teresa Norat and Elio Riboli
Cancer Epidemiol Biomarkers Prev September 1 2009 (18) (9) 2485-2491; DOI: 10.1158/1055-9965.EPI-09-0319

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Share
Vitamin D Receptor and Calcium Sensing Receptor Polymorphisms and the Risk of Colorectal Cancer in European Populations
Mazda Jenab, James McKay, Hendrik B. Bueno-de-Mesquita, Franzel J.B. van Duijnhoven, Pietro Ferrari, Nadia Slimani, Eugène H.J.M. Jansen, Tobias Pischon, Sabina Rinaldi, Anne Tjønneland, Anja Olsen, Kim Overvad, Marie-Christine Boutron-Ruault, Françoise Clavel-Chapelon, Pierre Engel, Rudolf Kaaks, Jakob Linseisen, Heiner Boeing, Eva Fisher, Antonia Trichopoulou, Vardis Dilis, Erifili Oustoglou, Franco Berrino, Paolo Vineis, Amalia Mattiello, Giovanna Masala, Rosario Tumino, Alina Vrieling, Carla H. van Gils, Petra H. Peeters, Magritt Brustad, Eiliv Lund, María-Dolores Chirlaque, Aurelio Barricarte, Laudina Rodríguez Suárez, Esther Molina, Miren Dorronsoro, Núria Sala, Göran Hallmans, Richard Palmqvist, Andrew Roddam, Timothy J. Key, Kay-Tee Khaw, Sheila Bingham, Paolo Boffetta, Philippe Autier, Graham Byrnes, Teresa Norat and Elio Riboli
Cancer Epidemiol Biomarkers Prev September 1 2009 (18) (9) 2485-2491; DOI: 10.1158/1055-9965.EPI-09-0319
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Jump to section

  • Article
    • Abstract
    • Introduction
    • Subjects and Methods
    • Results
    • Discussion
    • Disclosure of Potential Conflicts of Interest
    • Acknowledgments
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF
Advertisement

Related Articles

Cited By...

More in this TOC Section

  • Urinary Melatonin in Relation to Breast Cancer Risk
  • Endometrial Cancer and Ovarian Cancer Cross-Cancer GWAS
  • Risk Factors of Subsequent CNS Tumor after Pediatric Cancer
Show more Research Articles
  • Home
  • Alerts
  • Feedback
  • Privacy Policy
Facebook   Twitter   LinkedIn   YouTube   RSS

Articles

  • Online First
  • Current Issue
  • Past Issues

Info for

  • Authors
  • Subscribers
  • Advertisers
  • Librarians

About Cancer Epidemiology, Biomarkers & Prevention

  • About the Journal
  • Editorial Board
  • Permissions
  • Submit a Manuscript
AACR logo

Copyright © 2021 by the American Association for Cancer Research.

Cancer Epidemiology, Biomarkers & Prevention
eISSN: 1538-7755
ISSN: 1055-9965

Advertisement