An increasing number of studies are focusing on the potential association between dietary folate intake and risk of various cancers (1), particularly of the colorectum and breast (2, 3). A low folate status can induce misincorporation of uracil into DNA, leading to chromosome breaks in humans and hence increasing cancer risk (4). Alcohol may increase folate requirements in the body and cause relative folate deficiencies (2). Although several findings on the relation between folate intake and ovarian cancer risk are inconsistent (5-9), recent results from two prospective studies, including 266 and 147 incident cases of epithelial ovarian cancer, have suggested an interaction of folate and alcohol in ovarian carcinogenesis [i.e., folate would be inversely related to ovarian cancer risk in alcohol drinkers (5, 6), and alcohol in those with high folate intake (7)]. With the aim to provide further data on the issue, we assessed the relation between dietary folate, alcohol consumption, and ovarian cancer risk in a multicentric case-control study conducted in Italy (10).

The study was conducted in four Italian areas between 1992 and 1999 (10). Cases were 1,031 women admitted to the major teaching and general hospitals in the areas under surveillance with incident, histologically confirmed epithelial ovarian cancer. Controls were 2,411 women admitted to the same network of hospitals for acute, nonmalignant, and nongynecologic conditions, unrelated to hormonal diseases or to long-term modifications of diet.

A standard questionnaire was given by centrally trained interviewers during hospital stay, including detailed information on personal characteristics, lifestyle habits, a problem-oriented medical history, history of cancer in relatives, menstrual and reproductive factors, and use of oral contraceptives and hormone therapy. A food frequency questionnaire was developed to assess the usual diet during the 2 years preceding diagnosis (for cases) or hospital admission (for controls). The food frequency questionnaire included 78 foods, food groups, or dishes divided into six sections: first courses, second courses, side dishes, fruits, desserts, and beverages. For a few seasonal vegetables and fruits, duration of consumption was elicited.

Energy and nutrient intakes, including folate, methionine, and vitamin B6, were computed from the food frequency questionnaire using an Italian food composition database (11). A separate section investigated alcohol consumption in detail.

Data Analysis

Odds ratios (OR) and 95% confidence intervals (95% CI) were derived using unconditional multiple logistic regression models, including terms for age, study center, year of interview, education, parity, body mass index, alcohol consumption, use of oral contraceptives, physical activity, and energy intake (excluding energy from alcoholic beverages). After adjustment for nonalcohol energy intake, our study had 80% power to detect a 35% reduced risk (i.e., an OR ≤ 0.65) for the highest compared with the lowest quintile of folate intake (α = 0.05).

Table 1 reports the distribution of cases and controls, ORs and 95% CIs of ovarian cancer according to quintiles of folate intake of all women together, by histologic subtype and in separate strata of alcohol consumption, methionine, and vitamin B6 intake. Compared with the lowest quintile of dietary folate, the ORs of ovarian cancer were 1.10, 0.99, 1.02 and 0.98 for subsequent quintiles of intake. When further lifestyle, reproductive, and dietary covariates were controlled for, the ORs were 1.14, 1.12, 1.23, and 1.26. For the highest level of folate, the ORs of serous, mucinous, and other subtypes of ovarian cancer were 1.10, 0.41, and 0.85, respectively. In the stratum of non- and low-alcohol drinkers, the OR for an increase in folate intake equal to an SD was 0.93 (95% CI, 0.76-1.14). In the stratum of moderate/high drinkers, the corresponding OR was 1.02 (95% CI, 0.86-1.23), whereas when we considered folate intake in the stratum of hard drinkers only (5th quintile, i.e., >26 g/d), the OR was 1.14 (95% CI, 0.85-1.54). Ovarian cancer risk for folate intake was somewhat higher in strata of low methionine and vitamin B6 (OR, 1.18 and 1.15, respectively) than in strata of high methionine and vitamin B6 (OR, 0.79 and 0.88, respectively).

Table 1.

ORs and 95% CIs of ovarian cancer according to dietary folate intake; Italy, 1992-1999

Quintile of folate intake*
χ2trendContinuous OR
1st2nd3rd4th5th
All women        
    Cases/controls 159:480 209:491 209:466 218:483 236:491   
    OR (95% CI) 1.10 (0.82-1.49) 0.99 (0.72-1.35) 1.02 (0.73-1.43) 0.98 (0.67-1.44) 0.09 (P = 0.76) 0.99 (0.87-1.13) 
    OR (95% CI)§ 1.14 (0.83-1.56) 1.12 (0.80-1.57) 1.23 (0.85-1.80) 1.26 (0.80-1.97) 0.97 (P = 0.32) 1.10 (0.94-1.29) 
Histologic subtype        
    Serous (493 cases) 1.16 (0.77-1.75) 1.05 (0.68-1.62) 1.15 (0.74-1.81) 1.10 (0.66-1.84) 0.07 (P = 0.79) 1.05 (0.88-1.24) 
    Mucinous (81 cases) 0.64 (0.28-1.46) 0.48 (0.20-1.16) 0.59 (0.24-1.44) 0.41 (0.14-1.18) 2.08 (P = 0.15) 0.80 (0.54-1.18) 
    Other (176 cases) 0.59 (0.32-1.08) 0.73 (0.40-1.32) 0.84 (0.45-1.55) 0.85 (0.42-1.74) 0.01 (P = 0.92) 1.03 (0.80-1.32) 
Alcohol drinking        
    <1.8 g/d        
        Cases/controls 84:296 95:258 90:215 84:212 89:207   
        OR (95% CI) 0.88 (0.57-1.34) 0.89 (0.56-1.41) 0.81 (0.49-1.34) 0.73 (0.40-1.32) 0.97 (P = 0.32) 0.93 (0.76-1.14) 
    ≥1.8 g/d        
        Cases/controls 75:184 114:233 119:251 134:271 147:284   
        OR (95% CI) 1.35 (0.87-2.10) 1.03 (0.66-1.62) 1.26 (0.79-2.01) 1.19 (0.70-2.02) 0.10 (P = 0.75) 1.02 (0.86-1.23) 
Methionine intake        
    <Median value        
        Cases/controls 94:264 101:272 95:220 123:228 119:221   
        OR (95% CI) 0.96 (0.63-1.46) 0.99 (0.63-1.54) 1.38 (0.87-2.19) 1.33 (0.77-2.28) 2.43 (P = 0.12) 1.18 (0.99-1.42) 
    ≥Median value        
        Cases/controls 65:216 108:219 114:246 95:255 117:270   
        OR (95% CI) 1.29 (0.82-2.02) 0.94 (0.59-1.50) 0.72 (0.43-1.20) 0.71 (0.40-1.26) 4.59 (P = 0.03) 0.79 (0.64-0.96) 
Vitamin B6 intake        
    <Median value        
        Cases/controls 127:350 129:287 115:234 96:200 71:134   
        OR (95% CI) 1.18 (0.81-1.73) 1.16 (0.76-1.78) 1.22 (0.75-1.99) 1.22 (0.64-2.32) 0.43 (P = 0.51) 1.15 (0.90-1.46) 
    ≥Median value        
        Cases/controls 32:130 80:204 94:232 122:283 165:357   
        OR (95% CI) 1.07 (0.62-1.87) 0.84 (0.48-1.46) 0.88 (0.50-1.56) 0.77 (0.41-1.44) 1.31 (P = 0.25) 0.88 (0.73-1.07) 
Quintile of folate intake*
χ2trendContinuous OR
1st2nd3rd4th5th
All women        
    Cases/controls 159:480 209:491 209:466 218:483 236:491   
    OR (95% CI) 1.10 (0.82-1.49) 0.99 (0.72-1.35) 1.02 (0.73-1.43) 0.98 (0.67-1.44) 0.09 (P = 0.76) 0.99 (0.87-1.13) 
    OR (95% CI)§ 1.14 (0.83-1.56) 1.12 (0.80-1.57) 1.23 (0.85-1.80) 1.26 (0.80-1.97) 0.97 (P = 0.32) 1.10 (0.94-1.29) 
Histologic subtype        
    Serous (493 cases) 1.16 (0.77-1.75) 1.05 (0.68-1.62) 1.15 (0.74-1.81) 1.10 (0.66-1.84) 0.07 (P = 0.79) 1.05 (0.88-1.24) 
    Mucinous (81 cases) 0.64 (0.28-1.46) 0.48 (0.20-1.16) 0.59 (0.24-1.44) 0.41 (0.14-1.18) 2.08 (P = 0.15) 0.80 (0.54-1.18) 
    Other (176 cases) 0.59 (0.32-1.08) 0.73 (0.40-1.32) 0.84 (0.45-1.55) 0.85 (0.42-1.74) 0.01 (P = 0.92) 1.03 (0.80-1.32) 
Alcohol drinking        
    <1.8 g/d        
        Cases/controls 84:296 95:258 90:215 84:212 89:207   
        OR (95% CI) 0.88 (0.57-1.34) 0.89 (0.56-1.41) 0.81 (0.49-1.34) 0.73 (0.40-1.32) 0.97 (P = 0.32) 0.93 (0.76-1.14) 
    ≥1.8 g/d        
        Cases/controls 75:184 114:233 119:251 134:271 147:284   
        OR (95% CI) 1.35 (0.87-2.10) 1.03 (0.66-1.62) 1.26 (0.79-2.01) 1.19 (0.70-2.02) 0.10 (P = 0.75) 1.02 (0.86-1.23) 
Methionine intake        
    <Median value        
        Cases/controls 94:264 101:272 95:220 123:228 119:221   
        OR (95% CI) 0.96 (0.63-1.46) 0.99 (0.63-1.54) 1.38 (0.87-2.19) 1.33 (0.77-2.28) 2.43 (P = 0.12) 1.18 (0.99-1.42) 
    ≥Median value        
        Cases/controls 65:216 108:219 114:246 95:255 117:270   
        OR (95% CI) 1.29 (0.82-2.02) 0.94 (0.59-1.50) 0.72 (0.43-1.20) 0.71 (0.40-1.26) 4.59 (P = 0.03) 0.79 (0.64-0.96) 
Vitamin B6 intake        
    <Median value        
        Cases/controls 127:350 129:287 115:234 96:200 71:134   
        OR (95% CI) 1.18 (0.81-1.73) 1.16 (0.76-1.78) 1.22 (0.75-1.99) 1.22 (0.64-2.32) 0.43 (P = 0.51) 1.15 (0.90-1.46) 
    ≥Median value        
        Cases/controls 32:130 80:204 94:232 122:283 165:357   
        OR (95% CI) 1.07 (0.62-1.87) 0.84 (0.48-1.46) 0.88 (0.50-1.56) 0.77 (0.41-1.44) 1.31 (P = 0.25) 0.88 (0.73-1.07) 
*

Cut points for quintiles of folate intake among controls were 186, 231, 268, and 316 μg/d. The lowest quintile was taken as reference category.

For an increase in folate intake equal to an SD, calculated among controls (83.47 μg/d).

Estimates from unconditional logistic regression models adjusted for age, study center, year of interview, education, parity, body mass index, alcohol consumption, oral contraceptives use, physical activity, and nonalcohol energy intake.

§

Including all the adjustments above, plus further terms for menopausal status, family history of breast and/or ovarian cancer, age at menarche, first birth and menopause, hormone replacement therapy use, diabetes, fruit and vegetable consumption, and smoking habit.

Energy-adjusted intake.

Strengths of this investigation are its large size, the use of a validated and reproducible food frequency questionnaire (12-14), the low percentage of refusals of the subjects contacted, and the specific interest of the Italian population that has relatively high levels of alcohol (mostly wine) consumption (15). Our results do not indicate a major role of folate in ovarian cancer risk, nor a relevant interaction of folate with alcohol or with methionine or vitamin B6. These findings are in broad agreement with the available evidence from various studies, which in turn indicated inverse (5), absent (9), and direct (7, 8) relation of folate with ovarian cancer risk.

Our findings were confirmed after inclusion in the regression models of several lifestyle, reproductive, and dietary covariates, and at various levels of alcohol drinking. With reference to histologic subtypes of ovarian cancer (16), no association emerged for serous, endometrioid, and clear-cell tumors. However, the inverse relation of dietary folate with mucinous ovarian cancers was consistent with previous findings from the Swedish Mammography Cohort (5), but still uncertain because of the small number of mucinous cases in both studies.

Among possible explanations of the inconsistent findings of the studies, there are potential bias of epidemiologic studies. Case-control studies are generally more liable to bias than prospective ones. However, findings from a companion case-control study of breast cancer, where an inverse association with folate intake (stronger in high alcohol drinkers) was observed (17), are reassuring for the control group that we investigated, because the breast and ovarian studies were conducted on similar populations and shared a number of control subjects too.

In addition, differences in folate intake and alcohol consumption between various populations should be taken into account. In fact, the estimated median intake of folate widely differed between our study (248 μg/d) and the Swedish (178 μg/d) and the Iowa studies (331 μg/d; refs. 57). Further, the pattern of alcohol drinking in our investigation was peculiar for this population because we observed a large proportion of nondrinkers (40.6% of controls) as well as of hard drinkers (22.0% of controls had an intake of >25 g/d).

Notwithstanding these considerations, our findings from one of the largest data sets of ovarian cancer collected to date, as well as the overall epidemiologic evidence, do not support a role of folate and alcohol in ovarian carcinogenesis (18).

Grant support: Italian Association for Cancer Research and the Italian League against Cancer.

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 M.P. Bonifacino for editorial assistance.

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