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Cancer Epidemiology, Biomarkers & Prevention
Cancer Epidemiology, Biomarkers & Prevention
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Null Results in Brief

No Association of Single Nucleotide Polymorphisms in One-Carbon Metabolism Genes with Prostate Cancer Risk

Victoria L. Stevens, Carmen Rodriguez, Juzhong Sun, Jeffrey T. Talbot, Michael J. Thun and Eugenia E. Calle
Victoria L. Stevens
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Carmen Rodriguez
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Juzhong Sun
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Jeffrey T. Talbot
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Michael J. Thun
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Eugenia E. Calle
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DOI: 10.1158/1055-9965.EPI-08-0789 Published December 2008
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Abstract

One-carbon metabolism mediates the interconversion of folates for the synthesis of precursors used in DNA synthesis, repair, and methylation. Inadequate folate nutrition or compromised metabolism can disrupt these processes and facilitate carcinogenesis. In this study, we investigated associations of 39 candidate single nucleotide polymorphisms (SNP) in 9 one-carbon metabolism genes with risk of prostate cancer using 1,144 cases and 1,144 controls from the Cancer Prevention Study-II Nutrition Cohort. None of these SNPs were significantly associated with prostate cancer risk, either overall or in cases with advanced prostate cancer. Thus, our findings do not support the hypothesis that common genetic variation in one-carbon metabolism genes influences prostate cancer risk. (Cancer Epidemiol Biomarkers Prev 2008;17(12):3612–4)

  • folate
  • prostate cancer
  • SNPs

Introduction

Perturbation in one-carbon metabolism caused by inadequate folate nutrition or genetic variation in the enzymes in this pathway can compromise the synthesis of DNA precursors, disturb DNA repair and methylation, and facilitate carcinogenesis. Disruption of these basic processes could potentially influence tumor development in any tissue. However, the only cancer for which an association with altered one-carbon metabolism has been consistently found to date is colorectal cancer (1, 2). A number of studies have examined whether risk of prostate cancer, the most frequent cancer among men in the United States (3), is affected by changes in folate nutrition or metabolism. The results of studies of dietary folate (4-7), blood folate levels (8-11), and common genetic variants in methylenetetrahydrofolate reductase (MTHFR; refs. 12-16) have been mixed. In this study, we investigated the association of the genes MTHFR, methionine synthase (MTR), methionine synthase reductase (MTRR), cystathionine β-synthase (CBS), serine hydroxymethyltransferase (SHMT1), thymidine synthase (TYMS), dihydrofolate reductase (DHFR), methylenetetrahydrofolate dehydrogenase/methenyltetrahydrofolate cyclohydrolase/formyltetrahydrofolate synthase (MTHFD1), and formyltetrahydrofolate dehydrogenase (FTHFD) with prostate cancer using cases and controls nested in the American Cancer Society Cancer Prevention II Nutrition Cohort.

Materials and Methods

Study Population

Prostate cancer cases and controls were participants in the Cancer Prevention II Nutrition Cohort, a prospective study of cancer incidence of ∼184,000 U.S. adults that begun in 1992. The recruitment and characteristics of this cohort have been described previously (17). Incident cases reported by response to follow-up questionnaires, which were sent to participants in 1997 and every 2 y afterwards, or by linkage with the National Death Index were verified through medical records or state cancer registries (17). Blood samples were collected from a subset of Nutrition Cohort participants (21,965 women and 17,411 men) between June 1998 and June 2001.

We identified 1,144 men with a blood sample who had been diagnosed with prostate cancer between 1992 and 2003 and had no previous history of cancer (except nonmelanoma skin cancer). An equal number of controls were matched to the cases on age (±6 mo), race/ethnicity, and date of blood collection (±6 mo) using risk set sampling (18). Among the cases, 272 men had advanced prostate cancer, defined as prostate cancer with Gleason score of ≥8, grades 3 to 4, or stage D at diagnosis, or who had prostate cancer as their underlying cause of death.

Single Nucleotide Polymorphism Selection and Genotyping

Single nucleotide polymorphisms (SNP) were selected from the dbSNP or Celera databases in October, 2004 if they (a) had a minor allele frequency in Caucasians (>5%), and (b) caused changes in the amino acid sequence, or (c) had been previously found to be associated with disease. For some genes for which only one SNP was identified using these criteria, one or two additional SNPs for which only frequency information was available were added. Seven additional tagging SNPs were selected for the FTHFD gene using early HapMap data (Release 16, 3/1/2005) to allow haplotype analysis of this gene.

All SNPs were genotyped using TaqMan at Applied Biosystems, Inc. The genotyping success rate was >96%, and the genotype distributions of the controls for all SNPs were in Hardy-Weinberg equilibrium (P > 0.01).

Statistical Analysis

The association with prostate cancer risk was evaluated using a per allele odds ratio determined using unconditional logistic regression in which a continuous variable for the number of minor alleles (0, 1, or 2) was entered into the regression model. All models were adjusted for age (single year categories), race (White, other), and date of blood draw (single year categories). Haplotypes for blocks defined through Haploview (19) were estimated using the expectation-maximization algorithm implemented in the TAGSNPS program (20).

Results

Details of the 39 one-carbon metabolism SNPs studied are listed in Table 1 . Based on the per-allele odds ratios and related P values shown in this table, which assume an additive genetic model, none of the SNPs were significantly associated with an altered risk of prostate cancer. Additionally, no significant association was seen when the analysis was restricted to advanced prostate cancer. To consider the possibility that some SNPs may act through a recessive model, we also assessed the association of the homozygous variant genotype with prostate cancer. Again, no statistically significant associations were found, either with all prostate cancer cases or with advanced prostate cancer cases.

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Table 1.

Gene locations, resulting amino acid changes, minor allele frequencies, and associations with prostate cancer risk for the one-carbon metabolism gene SNPs investigated in this study

The genotyped SNPs included seven tagging SNPs that defined three separate haplotype blocks in the FTHFD gene. None of the haplotype blocks [(a) defined by rs2365004 and rs11923466; (b) defined by rs2886059, rs10934751, and rs2276731; (c) third was defined by rs1823213 and rs4646701] were associated with altered risk of all prostate cancer or advanced prostate cancer.

Discussion

This study is the first to investigate 9 one-carbon metabolism genes in prostate cancer and uses one of the largest study populations for this purpose to date. With 1,144 cases and 1,144 controls, this study has ≥80% power to detect odds ratios as low as 1.3 for SNPs with minor allele frequencies of ≥25% and as low as 1.45 for SNPs with minor allele frequencies of ≥10%. Thus, this study was adequately powered to detect associations with common genetic variants of the magnitude typically observed.

Our null findings are consistent with the results of all (12, 14-16) but one (13) of the previous studies. The study that reported a significant association of prostate cancer risk with the MTHFR C677T SNP was based on only 21 cases of prostate cancer (13). Besides the MTHFR gene, only two other genes in one-carbon metabolism have been investigated in relation to prostate cancer. Similar to our findings, neither the nonsynonymous A2756G SNP in MTR (12, 16) nor an insertion/deletion polymorphism in CBS (12) were significantly associated with altered prostate cancer risk.

Our findings of no significant association for 39 SNPs in 9 genes involved in one-carbon metabolism suggest that perturbations in the enzymes in this pathway have little or no effect on prostate cancer incidence. Coupled with previous null findings for folate intake (4, 6, 7) or blood levels (8, 11), these results argue that altered folate nutrition or metabolism do not contribute to risk for prostate cancer.

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

    • Accepted September 15, 2008.
    • Received August 25, 2008.

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Cancer Epidemiology Biomarkers & Prevention: 17 (12)
December 2008
Volume 17, Issue 12
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No Association of Single Nucleotide Polymorphisms in One-Carbon Metabolism Genes with Prostate Cancer Risk
Victoria L. Stevens, Carmen Rodriguez, Juzhong Sun, Jeffrey T. Talbot, Michael J. Thun and Eugenia E. Calle
Cancer Epidemiol Biomarkers Prev December 1 2008 (17) (12) 3612-3614; DOI: 10.1158/1055-9965.EPI-08-0789

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No Association of Single Nucleotide Polymorphisms in One-Carbon Metabolism Genes with Prostate Cancer Risk
Victoria L. Stevens, Carmen Rodriguez, Juzhong Sun, Jeffrey T. Talbot, Michael J. Thun and Eugenia E. Calle
Cancer Epidemiol Biomarkers Prev December 1 2008 (17) (12) 3612-3614; DOI: 10.1158/1055-9965.EPI-08-0789
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