Accumulating evidence suggests that vitamin D may protect against cancer, but results from epidemiologic studies are inconclusive so far, and other studies looking into the prospective association of total cancer mortality and serum 25-hydroxyvitamin D [25(OH)D] levels, which are considered to be the best indicator of vitamin D status, are scarce. We measured 25(OH)D and 1,25-dihydroxyvitamin D in 3,299 patients from the Ludwigshafen Risk and Cardiovascular Health study. The baseline examination was done between July 1997 and January 2000 and included a fasting blood sampling in the morning before coronary angiography. During a median follow-up period of 7.75 years, 95 patients died due to cancer. After adjustment for possible confounders, the Cox proportional hazard ratio (95% confidence interval) of the fourth 25(OH)D quartile was 0.45 (0.22-0.93) when compared with the first quartile and the hazard ratio per increase of 25 nmol/L in serum 25(OH)D concentrations was 0.66 (0.49-0.89). We found no association between serum 1,25-dihydroxyvitamin D levels and fatal cancer. In summary, our data suggest that low levels of 25(OH)D are associated with increased risk of fatal cancer in patients referred to coronary angiography and that the maintenance of a sufficient vitamin D status might therefore be a promising approach for the prevention and/or treatment of cancer. (Cancer Epidemiol Biomarkers Prev 2008;17(5):1228–33)

Vitamin D exerts various anticarcinogenic effects, and epidemiologic studies have largely but not consistently shown that hypovitaminosis D is associated with an increased risk for cancer (1-7). Cholecalciferol that is hydroxylated to 25-hydroxyvitamin D [25(OH)D] in the liver mainly originates from the skin where UV-B radiation induces the conversion from 7-dehydrocholesterol to cholecalciferol (8). Several studies have shown that the intensity of UV-B radiation is inversely associated with cancer mortality and that survival rates for cancers diagnosed in summer were significantly higher than for those diagnosed in winter (1-4). In the elderly, dietary vitamin D intake becomes a more important determinant of 25(OH)D serum levels because outdoor activities and sun exposure are usually reduced and the capacity of the skin to produce cholecalciferol is decreased (9). In the Health Professionals Follow-up Study, variables, such as nutritional intake of vitamin D, skin pigmentation, geographic residence, physical activity, sunlight exposure, and adiposity, which is associated with reduced 25(OH)D concentrations presumably due to vitamin D deposition in the adipose tissue, were included in a statistical model to predict serum 25(OH)D levels in 47,800 men (10). In that study, it was calculated that an increment of 25 nmol/L in serum 25(OH)D concentrations was associated with a 17% reduction in the incidence of cancer, a 29% reduction in total cancer mortality, and a 45% reduction in digestive system cancer mortality (10). Furthermore, case-control studies have largely shown that serum 25(OH)D levels are reduced in patients with different types of cancer, particularly in colorectal and breast cancer (1-4). For prostate cancer, there exist inconsistent results that may be explained by low 1α-hydroxylase activity of prostate cancer cells (1). By contrast, other types of cancer cells (e.g., colorectal cancer cells) display a high degree of local intracellular conversion from 25(OH)D to the more active form 1,25-dihydroxyvitamin D [1,25(OH)2D; ref. 1]. Recently, data from the Third National Health and Nutrition Examination Survey (NHANES-III), which included 16,818 persons ages ≥17 years, were published, addressing for the first time the question of a prospective association between serum 25(OH)D levels and cancer mortality (5). Although low serum 25(OH)D levels were associated with an increased risk of deaths due to colorectal cancer in this study, the authors found no such association for total cancer mortality (5). Thus, the contribution of a poor vitamin D status to total cancer mortality remains inconclusive and warrants further investigations. To extend the current knowledge on this issue, we examined the prospective association between serum 25(OH)D levels and cancer mortality in a cohort of 3,316 patients from southwest Germany, who were routinely referred to coronary angiography at baseline.

Study Population

The Ludwigshafen Risk and Cardiovascular Health (LURIC) study was designed to evaluate cardiovascular risk factors and includes 3,316 study subjects that were all routinely referred to coronary angiography at a single tertiary care center (Ludwigshafen General Hospital) in southwest Germany (13). Inclusion criteria were the availability of a coronary angiogram, German ancestry, and a stable clinical condition, except of an acute coronary syndrome. Exclusion criteria were any acute illness other than acute coronary syndrome and any chronic disease where noncardiac disease predominated. Importantly, patients with a history (evidence) of malignancy within the past 5 years were also excluded and there was thus no patient enrolled in the study that had known advanced cancer. Baseline examinations, which have been published in detail previously (13), were done between July 1997 and January 2000. Each study subject had a single blood draw in the morning before coronary angiography. All study participants gave their written informed consent and the study was approved by the Ethics Committee at the “Ärztekammer Rheinland-Pfalz.”

Measurements of Covariates

Retinol was measured with the high-performance liquid chromatography method of Aebischer et al. (14). Patients with a stenosis of at least 20% in at least 1 of 15 coronary segments were diagnosed as having coronary artery disease. Diabetes mellitus was defined according to the American Diabetes Association criteria (15). Weight and height were measured while subjects were barefoot and wearing light clothes, and body mass index was calculated as weight divided by height squared (kg/m2). Patients were asked to grade their beer and wine consumption into never, sometimes, regularly, and often, and we used a questionnaire with a scoring system ranging from 1 to 11 that was used to categorize the patients according to their physical activity level into “below average” (score 1-4), “average” (score 5-7), and “above average” (score ≥8).

Analysis of Vitamin D Metabolites

Measurements of serum 25(OH)D levels were done by radioimmunoassay (DiaSorin Antony, France) with an intraassay and interassay coefficient of variation of 8.6% and 9.2%, respectively. In 100 randomly chosen samples, we measured 25(OH)D by liquid chromatography-tandem mass spectrometry with isotopically labeled internal standard and two fragments m/z 401.4/382.2 (quantifier) and 401.4/365.3 (qualifier). The 25(OH)D values obtained by liquid chromatography-tandem mass spectrometry and radioimmunoassay showed a highly significant correlation (r = 0.875; P < 0.001), and there was no marked systematic difference in absolute 25(OH)D concentrations between both methods (data not shown). Serum concentrations of 1,25(OH)2D were analyzed by radioimmunoassay (Nichols Institute Diagnostika) on a Berthold LB2014 multicrystal counter.

Ascertainment of Fatal Cancers

Information on vital status was obtained from local person registries. Death certificates were reviewed for the classification of the causes of death. This was done by two experienced physicians who were blinded to any data of the study subjects, except of the information obtained from the death certificates. Fatal cancer was coded for deceased persons whose death was judged to be mainly attributed to cancer. In the case of a disagreement concerning the classification of a specific cause of death, it was discussed and the final decision was made by one of the principle investigators of the LURIC study (W.M.).

Statistical Analysis

We formed quartiles according to the 25(OH)D and 1,25(OH)2D concentrations of the whole study cohort. To account for the seasonal variation of vitamin D, we also formed quartiles based on the 25(OH)D and 1,25(OH)2D concentrations from each month of blood draw (16-20). Similarly, we calculated z values for 25(OH)D and 1,25(OH)2D according to the means and SDs from their concentrations within each month of blood draw. These z values are based on logarithmically transformed values because 25(OH)D and 1,25(OH)2D showed a skewed distribution. Cox proportional hazard ratios (HR) with 95% confidence intervals (95% CI) were calculated for vitamin D quartiles by using the first quartile as the reference and for quartiles as a linear variable. HRs for fatal cancer were also calculated for z values, for the SDs of logarithmically transformed 25(OH)D and 1,25(OH)2D concentrations, and per increment of 25 nmol/L in 25(OH)D serum levels. In addition, we also present the HRs per increment of 11.8 nmol/L, which is the estimated increase in 25(OH)D concentrations achieved by supplementation of 400 IU vitamin D3 in the Women’s Health Initiative. We calculated unadjusted HRs, age- and sex-adjusted HRs, and HRs adjusted for age, sex, body mass index, active smokers, exercise tertiles, beer and wine consumption, diabetes mellitus, and retinol. We adjusted for retinol because it was suggested to antagonize vitamin D effects by competing with 1,25(OH)2D for binding to the retinoid X receptor (1). P < 0.05 was considered statistically significant and the SPSS 15.0 statistical package (SPSS) was used.

Values for 25(OH)D and 1,25(OH)2D were available in 3,299 study subjects. We excluded 18 patients that were lost during follow-up and 24 deceased persons for whom we could not obtain the death certificates so that our final study cohort consisted of 3,257 persons. Unadjusted baseline characteristics for patients with fatal cancer and for controls, which include survivors and patients that died due to causes other than cancer, are shown in Table 1. The baseline data (unadjusted) are also presented according to 25(OH)D quartiles that are based on the values of the entire study cohort (Table 2). Apart from this, we observed a seasonal variation of 25(OH)D with the lowest median concentrations obtained from blood samples drawn in February (26.0 nmol/L) and the highest from those drawn in August (56.4 nmol/L).

Table 1.

Baseline characteristics of controls and patients with fatal cancer

ControlsFatal cancer
n 3,162 95 
Females (%) 30.5 23.2 
Age (y) 62.5 ± 10.6 68.1 ± 8.4 
Body mass index (kg/m227.5 ± 4.1 27.0 ± 3.9 
Physical activity level   
    Below average (%) 25.6 41.8 
    Average (%) 54.2 46.2 
    Above average (%) 20.2 12.1 
Active smokers (%) 19.7 21.1 
Beer consumption   
    Never (%) 48.6 39.8 
    Sometimes (%) 32.6 39.8 
    Regularly (%) 18.6 20.4 
    Often (%) 0.2 0.0 
Wine consumption   
    Never (%) 38.2 44.2 
    Sometimes (%) 35.2 32.6 
    Regularly (%) 26.4 22.1 
    Often (%) 0.2 1.1 
Retinol (μmol/L) 1.98 ± 0.58 1.81 ± 0.54 
Coronary artery disease (%) 78.3 87.2 
Diabetes mellitus (%) 31.8 35.8 
25(OH)D (nmol/L) 43.8 ± 24.3 36.9 ± 17.8 
z value for 25(OH)D 0.01 ± 1.00 -0.30 ± 1.01 
1,25(OH)2D (pmol/L) 91.0 ± 36.4 91.9 ± 36.7 
z value for 1,25(OH)2D 0.00 ± 1.00 0.07 ± 0.88 
ControlsFatal cancer
n 3,162 95 
Females (%) 30.5 23.2 
Age (y) 62.5 ± 10.6 68.1 ± 8.4 
Body mass index (kg/m227.5 ± 4.1 27.0 ± 3.9 
Physical activity level   
    Below average (%) 25.6 41.8 
    Average (%) 54.2 46.2 
    Above average (%) 20.2 12.1 
Active smokers (%) 19.7 21.1 
Beer consumption   
    Never (%) 48.6 39.8 
    Sometimes (%) 32.6 39.8 
    Regularly (%) 18.6 20.4 
    Often (%) 0.2 0.0 
Wine consumption   
    Never (%) 38.2 44.2 
    Sometimes (%) 35.2 32.6 
    Regularly (%) 26.4 22.1 
    Often (%) 0.2 1.1 
Retinol (μmol/L) 1.98 ± 0.58 1.81 ± 0.54 
Coronary artery disease (%) 78.3 87.2 
Diabetes mellitus (%) 31.8 35.8 
25(OH)D (nmol/L) 43.8 ± 24.3 36.9 ± 17.8 
z value for 25(OH)D 0.01 ± 1.00 -0.30 ± 1.01 
1,25(OH)2D (pmol/L) 91.0 ± 36.4 91.9 ± 36.7 
z value for 1,25(OH)2D 0.00 ± 1.00 0.07 ± 0.88 
Table 2.

Baseline characteristics according to quartiles of 25(OH)D

1st quartile2nd quartile3rd quartile4th quartile
Females (%) 42.4 29.9 23.8 24.9 
Age (y) 64.8 ± 11.1 63.2 ± 10.7 61.8 ± 10.1 60.7 ± 10.0 
Body mass index (kg/m227.5 ± 4.6 27.7 ± 4.1 27.7 ± 3.9 27.1 ± 3.6 
Physical activity level     
    Below average (%) 38.1 27.2 20.6 18.4 
    Average (%) 53.9 58.3 55.0 48.3 
    Above average (%) 8.0 14.5 24.4 33.3 
Active smokers (%) 23.5 19.2 16.0 19.8 
Beer consumption     
    Never (%) 55.8 51.2 43.3 42.5 
    Sometimes (%) 29.0 31.3 38.3 33.2 
    Regularly (%) 15.0 17.3 18.4 23.9 
    Often (%) 0.1 0.3 0.0 0.4 
Wine consumption     
    Never (%) 48.8 40.3 33.5 30.2 
    Sometimes (%) 31.9 33.5 38.5 36.9 
    Regularly (%) 18.8 26.0 27.8 26.0 
    Often (%) 0.5 0.3 0.1 0.0 
Retinol (μmol/L) 1.85 ± 0.65 1.97 ± 0.55 2.01 ± 0.57 2.07 ± 0.54 
Coronary artery disease (%) 83.1 76.7 76.9 77.1 
Diabetes mellitus (%) 40.6 34.9 29.8 22.0 
25(OH)D (nmol/L) 18.1 ± 4.7 32.4 ± 4.0 48.0 ± 5.3 76.3 ± 20.7 
z value for 25(OH)D -1.22 ± 0.67 -0.22 ± 0.45 0.36 ± 0.42 1.11 ± 0.49 
1,25(OH)2D (pmol/L) 72.6 ± 28.8 86.1 ± 32.9 98.7 ± 35.3 108.0 ± 37.9 
z value for 1,25(OH)2D -0.45 ± 1.02 -0.09 ± 0.99 0.20 ± 0.90 0.38 ± 0.86 
1st quartile2nd quartile3rd quartile4th quartile
Females (%) 42.4 29.9 23.8 24.9 
Age (y) 64.8 ± 11.1 63.2 ± 10.7 61.8 ± 10.1 60.7 ± 10.0 
Body mass index (kg/m227.5 ± 4.6 27.7 ± 4.1 27.7 ± 3.9 27.1 ± 3.6 
Physical activity level     
    Below average (%) 38.1 27.2 20.6 18.4 
    Average (%) 53.9 58.3 55.0 48.3 
    Above average (%) 8.0 14.5 24.4 33.3 
Active smokers (%) 23.5 19.2 16.0 19.8 
Beer consumption     
    Never (%) 55.8 51.2 43.3 42.5 
    Sometimes (%) 29.0 31.3 38.3 33.2 
    Regularly (%) 15.0 17.3 18.4 23.9 
    Often (%) 0.1 0.3 0.0 0.4 
Wine consumption     
    Never (%) 48.8 40.3 33.5 30.2 
    Sometimes (%) 31.9 33.5 38.5 36.9 
    Regularly (%) 18.8 26.0 27.8 26.0 
    Often (%) 0.5 0.3 0.1 0.0 
Retinol (μmol/L) 1.85 ± 0.65 1.97 ± 0.55 2.01 ± 0.57 2.07 ± 0.54 
Coronary artery disease (%) 83.1 76.7 76.9 77.1 
Diabetes mellitus (%) 40.6 34.9 29.8 22.0 
25(OH)D (nmol/L) 18.1 ± 4.7 32.4 ± 4.0 48.0 ± 5.3 76.3 ± 20.7 
z value for 25(OH)D -1.22 ± 0.67 -0.22 ± 0.45 0.36 ± 0.42 1.11 ± 0.49 
1,25(OH)2D (pmol/L) 72.6 ± 28.8 86.1 ± 32.9 98.7 ± 35.3 108.0 ± 37.9 
z value for 1,25(OH)2D -0.45 ± 1.02 -0.09 ± 0.99 0.20 ± 0.90 0.38 ± 0.86 

After a median follow-up time of 7.75 years, 736 persons died, including 95 deaths due to cancer. Among these the three most common cancer sites were those of the lung (n = 24), colon (n = 13), and pancreas (n = 11). Cox proportional HRs for fatal cancer according to quartiles of 25(OH)D and per SD and z value are depicted in Table 2. All statistical models showed that higher 25(OH)D levels were associated with significantly reduced risk for fatal cancer with approximately a bisection of the HRs in the fourth when compared with the first quartile (Table 3). The age- and sex-adjusted HR (with 95% CI) per increment of 25 nmol/L in 25(OH)D serum levels was 0.67 (0.52-0.88) and the fully adjusted HR (according to model 2 in Table 3) was 0.66 (0.49-0.89). Accordingly, the age- and sex-adjusted HR per increment of 11.8 nmol/L was 0.83 (0.73-0.94) and remained significant in the fully adjusted model with a HR of 0.82 (95% CI, 0.71-0.95). Interestingly, only one patient died due to cancer among the 336 study subjects (10% of the entire study cohort) with 25(OH)D levels above 75 nmol/L. Seven deaths due to cancer were recorded during the first 15 months of follow-up, but exclusion of these seven deceased patients from our analyses did not materially alter our results [fully adjusted HR for fatal cancer in the first quartile when compared with the fourth 25(OH)D quartile (based on the values of the entire study cohort): 0.43 (95% CI, 0.20-0.92)]. There was no significant interaction between 25(OH)D and sex and the proportionality of hazards was tested with log-minus-log survival and partial (Schönfeld) residuals versus survival plots and found valid. The age- and sex-adjusted HR for the fourth 1,25(OH)2D quartile was 1.00 (0.56-1.79) and the association between 1,25(OH)2D and fatal cancer remained nonsignificant in all other statistical models (data not shown).

Table 3.

Cox proportional HR (95% CI) for fatal cancer according to quartiles, SD and z values of 25(OH)D serum levels

Quartiles and SD based on 25(OH)D concentrations of the entire study cohort
Quartiles and z values based on 25(OH)D concentrations within each month of blood draw
3,257 patients at risk with 95 deaths due to cancer
Quartiles/SDHR (95% CI)PQuartiles/z valueHR (95% CI)P
Unadjusted 1st (<25.5)* 1.00 reference  1st (<38.0)* 1.00 reference  
 2nd (25.5-39.0) 0.86 (0.51-1.44) 0.567 2nd (18.8-56.0) 0.47 (0.27-0.82) 0.008 
 3rd (39.1-57.5) 0.71 (0.41-1.22) 0.212 3rd (25.8-71.5) 0.51 (0.30-0.87) 0.014 
 4th (>57.5) 0.42 (0.22-0.79) 0.007 4th (>38.0) 0.44 (0.25-0.87) 0.004 
 Per quartile 0.77 (0.64-0.93) 0.005 Per quartile 0.77 (0.64-0.92) 0.005 
 Per SD 0.74 (0.60-0.93) 0.010 Per z value 0.71 (0.57-0.90) 0.004 
Model 1§ 1st (<25.5)* 1.00 reference  1st (<38.0) 1.00 reference  
 2nd (25.5-39.0) 0.86 (0.51-1.46) 0.862 2nd (18.8-56.0) 0.47 (0.27-0.83) 0.009 
 3rd (39.1-57.5) 0.74 (0.42-1.28) 0.281 3rd (25.8-71.5) 0.53 (0.30-0.91) 0.021 
 4th (>57.5) 0.47 (0.25-0.90) 0.023 4th (>38.0) 0.49 (0.28-0.88) 0.017 
 Per quartile 0.80 (0.66-0.97) 0.021 Per quartile 0.80 (0.66-0.97) 0.021 
 Per SD 0.73 (0.59-0.90) 0.003 Per z value 0.70 (0.57-0.86) 0.001 
Model 2 1st (<25.5) 1.00 reference  1st (<38.0) 1.00 reference  
 2nd (25.5-39.0) 0.87 (0.50-1.52) 0.628 2nd (18.8-56.0) 0.61 (0.34-1.08) 0.091 
 3rd (39.1-57.5) 0.73 (0.40-1.32) 0.293 3rd (25.8-71.5) 0.54 (0.30-0.98) 0.044 
 4th (>57.5) 0.45 (0.22-0.93) 0.032 4th (>38.0) 0.51 (0.26-0.99) 0.048 
 Per quartile 0.79 (0.64-0.98) 0.028 Per quartile 0.79 (0.64-0.98) 0.029 
 Per SD 0.75 (0.60-0.93) 0.010 Per z value 0.72 (0.57-0.90) 0.004 
Quartiles and SD based on 25(OH)D concentrations of the entire study cohort
Quartiles and z values based on 25(OH)D concentrations within each month of blood draw
3,257 patients at risk with 95 deaths due to cancer
Quartiles/SDHR (95% CI)PQuartiles/z valueHR (95% CI)P
Unadjusted 1st (<25.5)* 1.00 reference  1st (<38.0)* 1.00 reference  
 2nd (25.5-39.0) 0.86 (0.51-1.44) 0.567 2nd (18.8-56.0) 0.47 (0.27-0.82) 0.008 
 3rd (39.1-57.5) 0.71 (0.41-1.22) 0.212 3rd (25.8-71.5) 0.51 (0.30-0.87) 0.014 
 4th (>57.5) 0.42 (0.22-0.79) 0.007 4th (>38.0) 0.44 (0.25-0.87) 0.004 
 Per quartile 0.77 (0.64-0.93) 0.005 Per quartile 0.77 (0.64-0.92) 0.005 
 Per SD 0.74 (0.60-0.93) 0.010 Per z value 0.71 (0.57-0.90) 0.004 
Model 1§ 1st (<25.5)* 1.00 reference  1st (<38.0) 1.00 reference  
 2nd (25.5-39.0) 0.86 (0.51-1.46) 0.862 2nd (18.8-56.0) 0.47 (0.27-0.83) 0.009 
 3rd (39.1-57.5) 0.74 (0.42-1.28) 0.281 3rd (25.8-71.5) 0.53 (0.30-0.91) 0.021 
 4th (>57.5) 0.47 (0.25-0.90) 0.023 4th (>38.0) 0.49 (0.28-0.88) 0.017 
 Per quartile 0.80 (0.66-0.97) 0.021 Per quartile 0.80 (0.66-0.97) 0.021 
 Per SD 0.73 (0.59-0.90) 0.003 Per z value 0.70 (0.57-0.86) 0.001 
Model 2 1st (<25.5) 1.00 reference  1st (<38.0) 1.00 reference  
 2nd (25.5-39.0) 0.87 (0.50-1.52) 0.628 2nd (18.8-56.0) 0.61 (0.34-1.08) 0.091 
 3rd (39.1-57.5) 0.73 (0.40-1.32) 0.293 3rd (25.8-71.5) 0.54 (0.30-0.98) 0.044 
 4th (>57.5) 0.45 (0.22-0.93) 0.032 4th (>38.0) 0.51 (0.26-0.99) 0.048 
 Per quartile 0.79 (0.64-0.98) 0.028 Per quartile 0.79 (0.64-0.98) 0.029 
 Per SD 0.75 (0.60-0.93) 0.010 Per z value 0.72 (0.57-0.90) 0.004 
*

Range of values of 25(OH)D concentrations in nmol/L.

SD of logarithmically transformed 25(OH)D levels.

z values were calculated according to the mean and SD of logarithmically transformed 25(OH)D concentrations within each month of blood draw.

§

Model 1 adjusted for age and sex.

Model 2 adjusted for age, sex, body mass index, active smokers, retinol, exercise tertiles, beer and wine consumption, and diabetes mellitus.

In this study, we have shown that low concentrations of serum 25(OH)D but not 1,25(OH)2D levels were prospectively associated with an increased risk of fatal cancer in a cohort of 3,299 patients who were scheduled for coronary angiography. The association between 25(OH)D and cancer mortality remained significant after adjustment for possible confounders and in different statistical models.

Several lines of evidence indicate that specific cancer sites are associated with a poor vitamin D status. To the best of our knowledge, there exists only one study reporting on the association between serum 25(OH)D levels and total cancer mortality (5), whereas a second study that analyzed such an association was based on predicted serum 25(OH)D concentrations (10). Our main result of a 34% risk reduction of fatal cancer per increase of 25 nmol/L in serum 25(OH)D levels is close to the 29% reduction of cancer mortality reported by Giovannucci et al. (10), who used predicted serum 25(OH)D concentrations in the Health Professionals’ Follow-up Study. However, the results of these two studies appear to be contradictory to the negative findings reported in the NHANES-III (5). Reasons for these divergent results remain hypothetically but may be due to differences in the study populations and designs. One obvious major difference relates to the fact that in the LURIC study cohort, only Caucasian patients from a single geographic area (southwest Germany) were included and that all study participants were referred to coronary angiography (13). By contrast, the NHANES-III enrolled a representative population sample of the United States, including various ethnic groups from different regions within the United States (5). In that study, blood collections in southern latitudes were done from November to March and in northern latitudes from April to October. In this context, it is important to note that due to varying UV-B exposure, serum 25(OH)D levels show a seasonal variation that is greater in northern than in southern latitudes and that is attenuated in blacks when compared with Whites (5, 16-20). Therefore, a careful consideration of the month (season) of blood sampling for given geographical areas seems mandatory for interpretation of the results. To address that issue, we formed in addition to conventional quartiles that were based on the serum 25(OH)D values of the entire study cohort and that showed a gradual increase of fatal cancer risk from the highest to the lowest quartile (Table 3), also quartiles and z values, which were based on serum 25(OH)D concentrations from each month of blood draw. Using these latter quartiles, we found that the risk of fatal cancer was comparable in the highest three quartiles, with a significantly increased HR in the first (lowest) quartile (Table 3). This suggests that the association between low vitamin D levels and the risk of fatal cancer is rather weak over a broad range of 25(OH)D levels but steeply increases in patients with severe vitamin D deficiency. Taken together, it is therefore conceivable that differing results of the LURIC study and the NHANES-III are partly due to effects caused by variations in UV-B exposure, racial differences, and the way vitamin D levels were handled in the analyses as well as due to the lower serum 25(OH)D concentrations in the LURIC study, in which 66% of the study participants had 25(OH)D levels below 50 nmol/L compared with 34% of the study population of the NHANES-III.

Our finding that 1,25(OH)2D was not associated with increased risk of fatal cancer does not argue against a crucial role of 1,25(OH)D in the prevention of cancer because intracellular 1,25(OH)2D levels can best be estimated by serum 25(OH)D concentrations, which are rate limiting for the conversion of 25(OH)D to 1,25(OH)2D. Several different cell types, including cancer cells, have been shown to express 1α-hydroxylase and are therefore able to produce and regulate 1,25(OH)2D concentrations at the level of the individual tissue/cell (1, 21, 22). Furthermore, serum 1,25(OH)2D concentrations are tightly regulated by the kidney, decrease with high calcium intake, and are not significantly influenced by geographic latitude and race, indicating that serum 1,25(OH)2D levels are not an adequate measure of whole-body vitamin D status (23-26).

Two interventional trials have already examined the effect of vitamin D supplementation on total cancer incidence/mortality (27, 28). In the Women’s Health Initiative, a daily intake of 400 IU vitamin D3 and 1,000 mg calcium carbonate was tested against placebo (27). In women assigned to calcium plus vitamin D supplementation, the HRs (95% CIs) for colorectal cancer mortality and total cancer mortality were 0.82 (0.52-1.29) and 0.89 (0.77-1.03), respectively, when compared with the placebo group. Taking into account that the vitamin D supplementation in the Women’s Health Initiative study resulted in an estimated modest increase of 11.8 nmol/L in serum 25(OH)D levels, Giovannucci et al. calculated that the risk of total cancer mortality in the Health Professionals’ Follow-up Study was 0.85 per increment of 11.8 nmol/L (10), a number that is close to the HR of 0.89 in the Women’s Health Initiative (27) and to the HR of 0.82 (95% CI, 0.71-0.95) that was calculated for the fully adjusted model in our study. The anticarcinogenic effects of vitamin D are further supported by data from Lappe et al. (28), who recently showed that cancer incidence was significantly reduced in women randomly assigned to receive 1,100 IU vitamin D3 plus calcium (HR, 0.49; 95% CI, 0.20-0.82 in the treatment compared with the placebo group). These data are in favor of a protective role of vitamin D against cancer development and/or progression and fit well to several effects of 1,25(OH)2D on the regulation of the cell cycle, the cellular differentiation, and the DNA repair (1-4).

In addition to its proposed role in the pathogenesis of cancer, hypovitaminosis D is also associated with an increased risk of fractures, falls, cardiovascular and thrombotic events, and infections, which may also contribute to increased mortality (8, 9, 29-31). This is supported by our previous results of the LURIC study that show an inverse association between serum 25(OH)D levels and all-cause mortality of the entire study cohort (32). Accordingly, the predictive value of vitamin D deficiency might be stronger for fatal cancer than for cancer incidence, a hypothesis that is supported by the results of the Health Professionals’ Follow-up Study (10). Cancer mortality or all-cause mortality among patients with cancer might therefore be a better study endpoint to evaluate overall health benefits of a sufficient vitamin D status than detection of cancer cases alone. However, from our findings of an association between vitamin D deficiency and risk of fatal cancer, we cannot draw any further conclusions whether a sufficient vitamin D status is associated with fewer deaths due to cancer because it reduces cancer incidence, which would be in line with the data by Lappe et al. (28), or reduces aggressive cancer at presentation or improves survival after cancer diagnosis, as it has already been shown for early-stage non-small cell lung cancer patients (33, 34). These research questions could not be addressed by the available data from our study and therefore warrant further investigations to confirm and extend our findings.

Our results are limited because each participant of the LURIC study had only a single blood draw and no serial measurements of 25(OH)D that would provide a more accurate assessment of an individual’s long-term vitamin D status. However, it has been implicated previously that 25(OH)D levels show a circannual variation but are not significantly different when measured 12 months apart (19), suggesting that the long-term vitamin D status of an individual could well be estimated by a single measurements of 25(OH)D when controlling for the season (month) of blood draw is done, as it was done in our study. Furthermore, in the LURIC study, which was not initially designed to evaluate the association between 25(OH)D and fatal cancer, we examined a specific study cohort, that is, patients referred to coronary angiography, and our results may therefore not apply for the general population. Despite adjustments for various possible confounders, we cannot rule out the existence of other unconsidered or unmeasured factors that may explain that vitamin D deficiency is only a nonspecific indicator of chronic illness and is not causally related to fatal cancer. Strengths of the LURIC study, however, include the validation of the 25(OH)D assay, the setting in a single geographic area, and the possibility to study the association between fatal cancer and mortality at lower 25(OH)D levels than in the NHANES-III.

In conclusion, our results show that low levels of 25(OH)D are associated with increased risk of fatal cancer in patients referred to coronary angiography. These data support other studies suggesting that vitamin D supplementation might be promising for the treatment and/or prevention of cancer and are in line with the national recommendation of the Canadian Cancer Society for the supplementation of 1,000 IU/d vitamin D for all adults during winter and for persons at high risk for vitamin D deficiency all year-round (35).

No potential conflicts of interest were disclosed.

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.

We thank the LURIC study team either temporarily or permanently involved in patient recruitment and sample and data handling and the laboratory staff at the Ludwigshafen General Hospital, the Universities of Freiburg, Ulm, and Graz, and the German registration offices and local public health departments for assistance.

1
Giovannucci E. The epidemiology of vitamin D and cancer incidence and mortality: a review (United States).
Cancer Causes Control
2005
;
16
:
83
–95.
2
Holick MF. Vitamin D: its role in cancer prevention and treatment.
Prog Biophys Mol Biol
2006
;
92
:
49
–59.
3
Ingraham BA, Bragdon B, Nohe A. Molecular basis of the potential of vitamin D to prevent cancer.
Curr Med Res Opin
2008
;
24
:
139
–49.
4
Grant WB. An estimate of premature cancer mortality in the U.S. due to inadequate doses of solar ultraviolet-B radiation.
Cancer
2002
;
94
:
1867
–75.
5
Freedman DM, Looker AC, Chang SC, Graubard BI. Prospective study of serum vitamin D and cancer mortality in the United States.
J Natl Cancer Inst
2007
;
99
:
1594
–602.
6
Davis CD, Dwyer JT. The “sunshine vitamin”: benefits beyond bone?
J Natl Cancer Inst
2007
;
99
:
1563
–5.
7
Giovannucci E, Liu Y, Willett WC. Cancer incidence and mortality and vitamin D in Black and White male health professionals.
Cancer Epidemiol Biomarkers Prev
2006
;
15
:
2467
–72.
8
Holick MF. Vitamin D deficiency.
N Engl J Med
2007
;
357
:
266
–81.
9
Mosekilde L. Vitamin D and the elderly.
Clin Endocrinol
2005
;
62
:
265
–81.
10
Giovannucci E, Liu Y, Rimm EB, et al. Prospective study of predictors of vitamin D status and cancer incidence and mortality in men.
J Natl Cancer Inst
2006
;
98
:
451
–9.
11
Giovannucci E. The epidemiology of vitamin D and colorectal cancer: recent findings.
Curr Opin Gastroenterol
2006
;
22
:
24
–9.
12
Cui Y, Rohan TE. Vitamin D, calcium, and breast cancer risk: a review.
Cancer Epidemiol Biomarkers Prev
2006
;
15
:
1427
–37.
13
Winkelmann BR, März W, Boehm BO, et al. Rationale and design of the LURIC study: a resource for functional genomics, pharmacogenomics and long-term prognosis of cardiovascular disease.
Pharmacogenomics
2001
;
2
:
1
–73.
14
Aebischer CP, Schierle J, Schüep W. Simultaneous determination of retinol, tocopherols, carotene, lycopene, and xanthophylls in plasma by means of reversed-phase high-performance liquid chromatography.
Methods Enzymol
1999
;
299
:
348
–62.
15
American Diabetes Association. Diagnosis and classification of diabetes mellitus.
Diabetes Care
2007
;
30
:
42
–7.
16
Bolland MJ, Grey AB, Ames RW, et al. The effects of seasonal variation of 25-hydroxyvitamin D and fat mass on a diagnosis of vitamin D sufficiency.
Am J Clin Nutr
2007
;
86
:
959
–64.
17
Levis S, Gomez A, Jimenez C, et al. Vitamin D deficiency and seasonal variation in an adult south Florida population.
J Clin Endocrinol Metab
2005
;
90
:
1557
–62.
18
Woitge HW, Knothe A, Witte K, et al. Circannual rhythms and interactions of vitamin D metabolites, parathyroid hormone, and biochemical markers of skeletal homeostasis: a prospective study.
J Bone Miner Res
2000
;
15
:
2443
–50.
19
Harris SS, Dawson-Hughes B. Seasonal changes in plasma 25-hydroxyvitamin D concentrations of young American Black and White women.
Am J Clin Nutr
1998
;
67
:
1232
–6.
20
Brisson J, Berube S, Diorio C, Sinotte M, Pollak M, Masse B. Synchronized seasonal variations of mammographic breast density and plasma 25-hydroxyvitamin D.
Cancer Epidemiol Biomarkers Prev
2007
;
16
:
929
–33.
21
Matusiak D, Murillo G, Carroll RE, Mehta RG, Benya RV. Expression of vitamin D receptor and 25-hydroxyvitamin D3-1α-hydroxylase in normal and malignant human colon.
Cancer Epidemiol Biomarkers Prev
2005
;
14
:
2370
–6.
22
Townsend K, Evans KN, Campbell MJ, Colston KW, Adams JS, Hewison M. Biological actions of extra-renal 25-hydroxyvitamin D-1α-hydroxylase and implications for chemoprevention and treatment.
J Steroid Biochem Mol Biol
2005
;
97
:
103
–9.
23
Schwartz GG, Blot WJ. Vitamin D status and cancer incidence and mortality: something new under the sun.
J Natl Cancer Inst
2006
;
98
:
428
–30.
24
Anderson PH, O’Loughlin PD, May BK, Morris HA. Determinants of circulating 1,25-dihydroxyvitamin D3 levels: the role of renal synthesis and catabolism of vitamin D.
J Steroid Biochem Mol Biol
2004
;
89–90
:
111
–3.
25
Giovannucci E, Liu Y, Stampfer MJ, Willett WC. A prospective study of calcium intake and incident and fatal prostate cancer.
Cancer Epidemiol Biomarkers Prev
2006
;
15
:
203
–10.
26
Goussous R, Song L, Dallal GE, Dawson-Hughes B. Lack of effect of calcium intake on the 25-hydroxyvitamin D response to oral vitamin D3.
J Clin Endocrinol Metab
2005
;
90
:
707
–11.
27
Wactawski-Wende J, Kotchen JM, Anderson GL, et al. Calcium plus vitamin D supplementation and the risk of colorectal cancer.
N Engl J Med
2006
;
354
:
684
–96.
28
Lappe JM, Travers-Gustafson D, Davies KM, Recker RR, Heany RP. Vitamin D and calcium supplementation reduces cancer risk: results of a randomized trial.
Am J Clin Nutr
2007
;
85
:
1586
–91.
29
Zittermann A. Vitamin D in preventive medicine: are we ignoring the evidence?
Br J Nutr
2003
;
89
:
552
–72.
30
Beer TM, Venner PM, Petrylak DP, et al. High dose calcitriol may reduce thrombosis in cancer patients.
Br J Haematol
2006
;
135
:
392
–4.
31
Wang TJ, Pencina MJ, Booth SL, et al. Vitamin D deficiency and risk of cardiovascular disease.
Circulation
2008
;
117
:
503
–11.
32
Dobnig H, Scharnagl H, Renner W, et al. Serum concentrations of vitamin D are significant and independent predictors of mortality: the Ludwigshafen Risk and Cardiovascular Health (LURIC) Study [abstract]. Exp Clin Endocrinol Metab 2007;115 DOI:10.1055/s-2007-972544.
33
Zhou W, Suk R, Liu G, et al. Vitamin D is associated with improved survival in early-stage non-small cell lung cancer patients.
Cancer Epidemiol Biomarkers Prev
2005
;
14
:
2303
–9.
34
Zhou W, Heist RS, Liu G, et al. Circulating 25-hydroxyvitamin D levels predict survival in early-stage non-small-cell lung cancer patients.
J Clin Oncol
2007
;
25
:
479
–85.
35
Canadian Cancer Society announces vitamin D recommendation (national press release). 2007 Jun 8. Available from: http://www.cancer.ca/ccs/internet/mediareleaselist/0,,3172_1613121606_1997621989_langId-en,00.html.