Dietary factors involved in one-carbon metabolism may play a role in colorectal carcinogenesis (1). We evaluated whether dietary intakes of folate, methionine, and associated B vitamins were related to colorectal cancer risk using data from a large prospective cohort study of women in Shanghai, China. We further evaluated the relationship between baseline plasma folate levels and subsequent colorectal cancer risk in a nested case-control study from the same study population.

The Shanghai Women's Health Study is a population-based prospective study of 74,942 Chinese women ages 40 to 70 years at cohort entry (2). Relevant committees for the use of human participants in research approved the study protocol and informed consent was obtained from all participants. All participants were interviewed using a validated food frequency questionnaire (3). The Chinese Food Composition Table was used to estimate daily intake levels of most nutrients. Methionine, vitamin B6, and vitamin B12 were derived using the U.S. Department of Agriculture Food Composition Tables as previously described (4). The cohort was followed for cancer incidence and mortality by a combination of follow-up surveys and annual record linkage to cancer case data collected by the Shanghai Cancer Registry and death certificates collected by the Shanghai Municipal Center for Disease Control and Prevention (2).

In order to allow for the delay in records processing, the date of the last follow-up was set as December 31, 2005 for study participants whose last in-person interview occurred before the censoring date, 6 months after the most recent record linkage (June 30, 2006). For the nested case-control study, cases were matched to controls (up to four per case) on age at baseline (±2 years), date (≤30 days), and time (morning or afternoon) of blood collection, interval since last meal (≤2 h), menopausal status (pre- or post-), and antibiotic use (yes/no) in the past week. Baseline plasma folate levels were analyzed using the microbiological assay (5, 6).

Statistical Analysis

Nutrients were residual energy–adjusted (7). Cutpoints were based on the control distribution (nested case-control) or whole cohort (cohort analysis). The cohort analysis included 72,861 participants including 394 cases after excluding those with a previous history of cancer (n = 1,490), unreasonably high or low energy intake (n = 132), or emigration from Shanghai shortly after baseline recruitment (n = 10). We estimated associations using hazard ratios (HR) and 95% confidence intervals (95% CI) derived from Cox proportional hazard regression models (8) stratifying on birth cohort (9). Stratified analyses were done to evaluate potential effect modifiers. In the case-control analysis, conditional logistic regression analysis was used to estimate odds ratios (OR) and 95% CI. Tests for trend were done by entering the categorical variables as continuous variables in the models. P < 0.05 (two-sided probability) were interpreted as being statistically significant. Statistical analyses were conducted by using SAS statistical software (version 9.1; SAS Institute).

Baseline characteristics of cohort members have been previously published (2). Few women in this population ever smoked cigarettes, consumed alcoholic beverages, or used nonsteroidal anti-inflammatory medicines (data not shown). No statistically significant associations between dietary intakes of folate, methionine, and other B vitamins and colorectal cancer risk were observed (Table 1). Neither was any apparent association observed when the study was limited to women who did not drink alcohol, women diagnosed with colorectal cancer more than 2 years after recruitment, women who did not use B vitamin supplements, premenopausal women, or postmenopausal women (data not shown).

Table 1.

Associations between dietary intakes of methionine and B vitamins in the Shanghai Women's Health Study

Quintiles of dietary intake
P for trend
Q1 (low)Q2Q3Q4Q5 (high)
Folate       
    Events, n 76 89 64 82 83  
    Mean intake, μg/d 213 235 269 318 419  
    HR (95% CI)* 1.0 (ref) 1.3 (1.0-1.8) 1.0 (0.7-1.4) 1.2 (0.8-1.7) 1.1 (0.8-1.7) 0.78 
Methionine       
    Events, n 104 69 77 70 74  
    Mean intake, g/d 1.26 1.28 1.39 1.58 2.07  
    HR (95% CI)* 1.0 (ref) 0.8 (0.6-1.1) 1.0 (0.7-1.4) 1.0 (0.7-1.5) 1.2 (0.8-1.8) 0.27 
Vitamin B12       
    Events, n 117 79 85 76 74  
    Mean intake, μg/d 1.28 1.69 2.22 2.93 4.86  
    HR (95% CI)* 1.0 (ref) 0.9 (0.6-1.2) 1.0 (0.7-1.4) 1.1 (0.8-1.6) 1.3 (0.9-1.9) 0.10 
Vitamin B6       
    Events, n 97 72 76 85 64  
    Mean intake, mg/d 1.36 1.44 1.59 1.80 2.33  
    HR (95% CI)* 1.0 (ref) 0.8 (0.6-1.1) 0.9 (0.6-1.3) 1.0 (0.7-1.5) 0.7 (0.4-1.2) 0.74 
Niacin (B3      
    Events, n 97 74 72 75 76  
    Mean intake, mg/d 12.9 12.5 13.1 14.4 18.3  
    HR (95% CI)* 1.0 (ref) 0.8 (0.6-1.2) 0.9 (0.6-1.3) 1.0 (0.7-1.4) 1.0 (0.7-1.6) 0.68 
Riboflavin (B2      
    Events, n 107 77 73 64 73  
    Mean intake, mg/d 0.62 0.68 0.79 0.94 1.22  
    HR (95% CI)* 1.0 (ref) 0.9 (0.6-1.2) 0.9 (0.6-1.3) 0.9 (0.6-1.3) 1.1 (0.7-1.9) 0.69 
Quintiles of dietary intake
P for trend
Q1 (low)Q2Q3Q4Q5 (high)
Folate       
    Events, n 76 89 64 82 83  
    Mean intake, μg/d 213 235 269 318 419  
    HR (95% CI)* 1.0 (ref) 1.3 (1.0-1.8) 1.0 (0.7-1.4) 1.2 (0.8-1.7) 1.1 (0.8-1.7) 0.78 
Methionine       
    Events, n 104 69 77 70 74  
    Mean intake, g/d 1.26 1.28 1.39 1.58 2.07  
    HR (95% CI)* 1.0 (ref) 0.8 (0.6-1.1) 1.0 (0.7-1.4) 1.0 (0.7-1.5) 1.2 (0.8-1.8) 0.27 
Vitamin B12       
    Events, n 117 79 85 76 74  
    Mean intake, μg/d 1.28 1.69 2.22 2.93 4.86  
    HR (95% CI)* 1.0 (ref) 0.9 (0.6-1.2) 1.0 (0.7-1.4) 1.1 (0.8-1.6) 1.3 (0.9-1.9) 0.10 
Vitamin B6       
    Events, n 97 72 76 85 64  
    Mean intake, mg/d 1.36 1.44 1.59 1.80 2.33  
    HR (95% CI)* 1.0 (ref) 0.8 (0.6-1.1) 0.9 (0.6-1.3) 1.0 (0.7-1.5) 0.7 (0.4-1.2) 0.74 
Niacin (B3      
    Events, n 97 74 72 75 76  
    Mean intake, mg/d 12.9 12.5 13.1 14.4 18.3  
    HR (95% CI)* 1.0 (ref) 0.8 (0.6-1.2) 0.9 (0.6-1.3) 1.0 (0.7-1.4) 1.0 (0.7-1.6) 0.68 
Riboflavin (B2      
    Events, n 107 77 73 64 73  
    Mean intake, mg/d 0.62 0.68 0.79 0.94 1.22  
    HR (95% CI)* 1.0 (ref) 0.9 (0.6-1.2) 0.9 (0.6-1.3) 0.9 (0.6-1.3) 1.1 (0.7-1.9) 0.69 
*

Adjusted for age, educational attainment, baseline household income, smoking status, drinking status, physical activity, hormone replacement therapy, menopausal status, family history of colorectal cancer, body mass index, nonsteroidal anti-inflammatory drug use, use of a B vitamin supplement, history of colorectal polyps, diabetes history, and daily intakes of energy, vegetables, fruits, red meats, and calcium.

The associations between dietary B vitamin and methionine intakes and colorectal cancer risk were similar in the nested case-control and cohort analyses. Plasma folate was not correlated with dietary methionine and B vitamin intakes among controls. The associations between plasma folate tertiles and colorectal cancer risk in the nested case-control study are presented in Table 2. Plasma folate was not associated with colorectal cancer risk overall nor when evaluated jointly with dietary intakes of methionine and B vitamins.

Table 2.

Associations between colorectal cancer risk and plasma folate and joint plasma folate and dietary intake in a nested case-control study from the Shanghai Women's Health Study

Plasma folate tertiles
T1 (Low)
T2
T3
P for trend
2.04-7.54 μg/mL
7.55-11.09 μg/mL
11.10-304.00 μg/mL
OR, 95% CIOR, 95% CIOR, 95% CI
Cases 96 95 112  
Controls 396 396 396  
OR (95% CI) 1.0 (ref) 1.0 (0.7-1.3) 1.2 (0.8-1.7) 0.30 
     

 
    
Diet
 

 

 

 
P for interaction
 
Methionine     
    Low 1.0 (ref) 0.9 (0.6-1.4) 1.2 (0.8-1.9)  
    High 1.0 (0.6-1.6) 1.0 (0.6-1.6) 1.1 (0.7-1.9) 0.52 
Vitamin B12     
    Low 1.0 (ref) 0.9 (0.6-1.5) 1.1 (0.7-1.7)  
    High 0.9 (0.6-1.5) 0.9 (0.6-1.5) 1.2 (0.8-2.0) 0.69 
Vitamin B6     
    Low 1.0 (ref) 0.6 (0.4-1.0) 1.3 (0.8-2.0)  
    High 0.8 (0.5-1.3) 1.1 (0.7-1.8) 1.0 (0.6-1.6) 0.40 
Niacin (B3    
    Low 1.0 (ref) 0.7 (0.4-1.1) 1.2 (0.7-1.8)  
    High 0.6 (0.4-1.0) 0.8 (0.5-1.3) 0.8 (0.5-1.3) 0.50 
Riboflavin (B2    
    Low 1.0 (ref) 0.8 (0.5-1.3) 1.0 (0.7-1.6)  
    High 0.9 (0.5-1.5) 1.0 (0.6-1.6) 1.2 (0.7-2.0) 0.75 
Plasma folate tertiles
T1 (Low)
T2
T3
P for trend
2.04-7.54 μg/mL
7.55-11.09 μg/mL
11.10-304.00 μg/mL
OR, 95% CIOR, 95% CIOR, 95% CI
Cases 96 95 112  
Controls 396 396 396  
OR (95% CI) 1.0 (ref) 1.0 (0.7-1.3) 1.2 (0.8-1.7) 0.30 
     

 
    
Diet
 

 

 

 
P for interaction
 
Methionine     
    Low 1.0 (ref) 0.9 (0.6-1.4) 1.2 (0.8-1.9)  
    High 1.0 (0.6-1.6) 1.0 (0.6-1.6) 1.1 (0.7-1.9) 0.52 
Vitamin B12     
    Low 1.0 (ref) 0.9 (0.6-1.5) 1.1 (0.7-1.7)  
    High 0.9 (0.6-1.5) 0.9 (0.6-1.5) 1.2 (0.8-2.0) 0.69 
Vitamin B6     
    Low 1.0 (ref) 0.6 (0.4-1.0) 1.3 (0.8-2.0)  
    High 0.8 (0.5-1.3) 1.1 (0.7-1.8) 1.0 (0.6-1.6) 0.40 
Niacin (B3    
    Low 1.0 (ref) 0.7 (0.4-1.1) 1.2 (0.7-1.8)  
    High 0.6 (0.4-1.0) 0.8 (0.5-1.3) 0.8 (0.5-1.3) 0.50 
Riboflavin (B2    
    Low 1.0 (ref) 0.8 (0.5-1.3) 1.0 (0.7-1.6)  
    High 0.9 (0.5-1.5) 1.0 (0.6-1.6) 1.2 (0.7-2.0) 0.75 

NOTE: Adjusted for age, educational attainment, baseline household income, smoking status, drinking status, physical activity, hormone replacement therapy, menopausal status, family history of colorectal cancer, body mass index, nonsteroidal anti-inflammatory drug use, use of a B vitamin supplement, history of colorectal polyps, diabetes history, and daily intakes of energy, vegetables, fruits, red meats, and calcium.

The one-carbon metabolism is important in several biological processes including methylation, DNA synthesis, and DNA repair. Folate and methionine are the major sources of dietary methyl groups and vitamin B6, vitamin B12, and riboflavin are important cofactors in one-carbon metabolism. However, in our comprehensive evaluation of these factors, we found no evidence to support their associations with colorectal cancer risk.

The role of one-carbon metabolism in colorectal cancer risk has been evaluated in previous studies with equivocal results. A recent meta-analysis of folate intake found that higher dietary but not total (including supplemental) folate intake was related to a modestly decreased risk of colorectal cancer in both cohort and case-control studies (10). However, similar to our study, other studies published since the meta-analysis have largely reported null associations (11-15), although one study observed an inverse relationship (16). Only a handful of nested case-control studies, none in a Chinese population, have evaluated biological measures of folate, including plasma folate (17-22), and most have reported a null association (19-22). These studies were mostly smaller and had lower folate levels than our study (17-20). Few studies have evaluated other dietary factors in one-carbon metabolism and colorectal cancer risk, the findings of which have also been inconsistent (11, 13-15, 23-27).

In our study, we were able to evaluate a variety of factors related to one-carbon metabolism in a population with no vitamin fortification of the food supply and a low prevalence of alcohol use and vitamin supplement use. The prospective design, high participation rate, and high follow-up rates minimized the possibility of recall or selection bias. Because many foods which are rich in folate, such as green leafy vegetables, are also rich in other nutrients, it is possible that nutrients other than folate and B vitamins or the interactions between these nutrients were responsible for previously observed associations or obscured associations in this study. It is also possible that the timing of our exposure assessment did not capture the relevant exposure window.

In summary, our study does not support a role for one-carbon–related dietary factors and plasma folate in the development of colorectal cancer in Chinese women.

No potential conflicts of interest were disclosed.

Grant support: Grant R01CA70867 from the National Cancer Institute. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Cancer Institute or the NIH.

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.

The authors thank the research staff and participants of the Shanghai Women's Health Study.

1
Strohle A, Wolters M, Hahn A. Folic acid and colorectal cancer prevention: molecular mechanisms and epidemiological evidence [review].
Int J Oncol
2005
;
26
:
1449
–64.
2
Zheng W, Chow WH, Yang G, et al. The Shanghai Women's Health Study: rationale, study design, and baseline characteristics.
Am J Epidemiol
2005
;
162
:
1123
–31.
3
Shu XO, Yang G, Jin F, et al. Validity and reproducibility of the food frequency questionnaire used in the Shanghai Women's Health Study.
Eur J Clin Nutr
2004
;
58
:
17
–23.
4
Shrubsole MJ, Jin F, Dai Q, et al. Dietary folate intake and breast cancer risk: results from the Shanghai Breast Cancer Study.
Cancer Res
2001
;
61
:
7136
–41.
5
Horne DW, Patterson D. Lactobacillus casei microbiological assay of folic acid derivatives in 96-well microtiter plates.
Clin Chem
1988
;
34
:
2357
–9.
6
Wilson SD, Horne DW. Use of glycerol-cryoprotected Lactobacillus casei for microbiological assay of folic acid.
Clin Chem
1982
;
28
:
1198
–200.
7
Willett WC, Stampfer MJ. Total energy intake: implications for epidemiologic analyses.
Am J Epidemiol
1986
;
124
:
17
–27.
8
Hosmer DW, Lemeshow S. Applied survival analysis. Regression modeling of time to event data. New York: Wiley; 1999.
9
Korn EL, Graubard BI, Midthune D. Time-to-event analysis of longitudinal follow-up of a survey: choice of the time-scale.
Am J Epidemiol
1997
;
145
:
72
–80.
10
Sanjoaquin MA, Allen N, Couto E, et al. Folate intake and colorectal cancer risk: a meta-analytical approach.
Int J Cancer
2005
;
113
:
825
–8.
11
Ishihara J, Otani T, Inoue M, et al. Low intake of vitamin B-6 is associated with increased risk of colorectal cancer in Japanese men.
J Nutr
2007
;
137
:
1808
–14.
12
Jiang Q, Chen K, Ma X, et al. Diets, polymorphisms of methylenetetrahydrofolate reductase, and the susceptibility of colon cancer and rectal cancer.
Cancer Detect Prev
2005
;
29
:
146
–54.
13
Kune G, Watson L. Colorectal cancer protective effects and the dietary micronutrients folate, methionine, vitamins B6, B12, C, E, selenium, and lycopene.
Nutr Cancer
2006
;
56
:
11
–21.
14
Otani T, Iwasaki M, Hanaoka T, et al. Folate, vitamin B6, vitamin B12, and vitamin B2 intake, genetic polymorphisms of related enzymes, and risk of colorectal cancer in a hospital-based case-control study in Japan.
Nutr Cancer
2005
;
53
:
42
–50.
15
Sharp L, Little J, Brockton NT, et al. Polymorphisms in the methylenetetrahydrofolate reductase (MTHFR) gene, intakes of folate and related B vitamins and colorectal cancer: a case-control study in a population with relatively low folate intake.
Br J Nutr
2008
;
99
:
379
–89.
16
Larsson SC, Giovannucci E, Wolk A. A prospective study of dietary folate intake and risk of colorectal cancer: modification by caffeine intake and cigarette smoking.
Cancer Epidemiol Biomarkers Prev
2005
;
14
:
740
–3.
17
Kato I, Dnistrian AM, Schwartz M, et al. Serum folate, homocysteine and colorectal cancer risk in women: a nested case-control study.
Br J Cancer
1999
;
79
:
1917
–22.
18
Van Guelpen B, Hultdin J, Johansson I, et al. Low folate levels may protect against colorectal cancer.
Gut
2006
;
55
:
1461
–6.
19
Glynn SA, Albanes D, Pietinen P, et al. Colorectal cancer and folate status: a nested case-control study among male smokers.
Cancer Epidemiol Biomarkers Prev
1996
;
5
:
487
–94.
20
Rossi E, Hung J, Beilby JP, et al. Folate levels and cancer morbidity and mortality: prospective cohort study from Busselton, Western Australia.
Ann Epidemiol
2006
;
16
:
206
–12.
21
Ma J, Stampfer MJ, Giovannucci E, et al. Methylenetetrahydrofolate reductase polymorphism, dietary interactions, and risk of colorectal cancer.
Cancer Res
1997
;
57
:
1098
–102.
22
Otani T, Iwasaki M, Sasazuki S, et al. Plasma folate and risk of colorectal cancer in a nested case-control study: the Japan Public Health Center-based prospective study.
Cancer Causes Control
2008
;
19
:
67
–74.
23
Harnack L, Jacobs DR, Jr., Nicodemus K, et al. Relationship of folate, vitamin B-6, vitamin B-12, and methionine intake to incidence of colorectal cancers.
Nutr Cancer
2002
;
43
:
152
–8.
24
La Vecchia C, Negri E, Pelucchi C, et al. Dietary folate and colorectal cancer.
Int J Cancer
2002
;
102
:
545
–7.
25
Flood A, Caprario L, Chaterjee N, et al. Folate, methionine, alcohol, and colorectal cancer in a prospective study of women in the United States.
Cancer Causes Control
2002
;
13
:
551
–61.
26
Wei EK, Giovannucci E, Selhub J, et al. Plasma vitamin B6 and the risk of colorectal cancer and adenoma in women.
J Natl Cancer Inst
2005
;
97
:
684
–92.
27
Theodoratou E, Farrington SM, Tenesa A, et al. Dietary vitamin B6 intake and the risk of colorectal cancer.
Cancer Epidemiol Biomarkers Prev
2008
;
17
:
171
–82.