Advertisement
Research Articles

Dietary Carotenoids and Risk of Lung Cancer in a Pooled Analysis of Seven Cohort Studies

Satu Männistö, Stephanie A. Smith-Warner, Donna Spiegelman, Demetrius Albanes, Kristin Anderson, Piet A. van den Brandt, James R. Cerhan, Graham Colditz, Diane Feskanich, Jo L. Freudenheim, Edward Giovannucci, R. Alexandra Goldbohm, Saxon Graham, Anthony B. Miller, Thomas E. Rohan, Jarmo Virtamo, Walter C. Willett and David J. Hunter
DOI: 10.1158/1055-9965.EPI-038-3 Published January 2004

Abstract

Intervention trials with supplemental β-carotene have observed either no effect or a harmful effect on lung cancer risk. Because food composition databases for specific carotenoids have only become available recently, epidemiological evidence relating usual dietary levels of these carotenoids with lung cancer risk is limited. We analyzed the association between lung cancer risk and intakes of specific carotenoids using the primary data from seven cohort studies in North America and Europe. Carotenoid intakes were estimated from dietary questionnaires administered at baseline in each study. We calculated study-specific multivariate relative risks (RRs) and combined these using a random-effects model. The multivariate models included smoking history and other potential risk factors. During follow-up of up to 7–16 years across studies, 3,155 incident lung cancer cases were diagnosed among 399,765 participants. β-Carotene intake was not associated with lung cancer risk (pooled multivariate RR = 0.98; 95% confidence interval, 0.87–1.11; highest versus lowest quintile). The RRs for α-carotene, lutein/zeaxanthin, and lycopene were also close to unity. β-Cryptoxanthin intake was inversely associated with lung cancer risk (RR = 0.76; 95% confidence interval, 0.67–0.86; highest versus lowest quintile). These results did not change after adjustment for intakes of vitamin C (with or without supplements), folate (with or without supplements), and other carotenoids and multivitamin use. The associations generally were similar among never, past, or current smokers and by histological type. Although smoking is the strongest risk factor for lung cancer, greater intake of foods high in β-cryptoxanthin, such as citrus fruit, may modestly lower the risk.

Introduction

Although cigarette smoking is the leading cause of lung cancer, only 15% of smokers are eventually diagnosed with lung cancer (1) . This indicates that other factors, such as inherited differences (2) , occupational or environmental exposures, or dietary habits (1 , 3) , may influence the outcome of exposure to chemical carcinogens in tobacco.

Carotenoids are red and yellow fat-soluble pigments found in many fruits and vegetables. The major carotenoids with vitamin A activity in human plasma are α-carotene, β-carotene, and β-cryptoxanthin, whereas the major carotenoids without vitamin A activity are lycopene, lutein, and zeaxanthin (4) . Carrots contain high amounts of α-carotene and β-carotene. Broccoli and spinach provide lutein and its isomers whereas tomatoes contain high amounts of lycopene. β-Cryptoxanthin is mainly derived from orange juice, oranges, and tangerines (4, 5, 6, 7) .

In intervention trials, pharmacological doses of β-carotene supplements provided no protection against lung cancer compared with placebo (8, 9, 10, 11) . In fact, supplemental β-carotene modestly increased lung cancer risk in heavy smokers (8 , 9) and asbestos workers (8) . Although β-carotene at usual dietary levels has been inversely associated with lung cancer risk in some epidemiological studies, the current evidence is more consistent for showing a benefit of high consumption of fruits and vegetables (1 , 12) . Thus, β-carotene may not be among the nutrient(s) responsible for the inverse associations observed between fruit and vegetable consumption and lung cancer but rather may be an indicator of other bioactive components in these foods. As detailed food composition databases for specific carotenoids have become available only recently (5 , 7) , few studies have examined their associations with lung cancer risk, and their results have been inconsistent (13, 14, 15, 16, 17, 18, 19, 20, 21, 22) .

To gain a better understanding of how intakes of specific carotenoids (α-carotene, β-carotene, β-cryptoxanthin, lutein/zeaxanthin, and lycopene) are related to lung cancer risk, we analyzed the primary data from seven large cohort studies carried out in North America and Europe. These studies, taken together, provided a wide range of carotenoid intakes, a relatively large number of cases, and allowed for separate analyses by smoking status and by histological type of lung cancer.

Materials and Methods

The Pooling Project of Prospective Studies of Diet and Cancer (the Pooling Project) has been described previously (23) . For the carotenoid and lung cancer analyses, we identified seven cohort studies (Table 1⇓ ; Refs. 17, 18, 19, 20 , 24 , 25 ) that met the following predefined criteria: at least 50 incident lung cancer cases, assessment of long-term dietary intake including the specific carotenoids, a validation study of the dietary questionnaire or of a closely related instrument, and assessment of smoking status. The Adventist Health Study (26) , the New York University Women’s Health Study (27) , and Sweden Mammography Cohort (28) , all included in the Pooling Project, were thus excluded because they did not assess intakes of the specific carotenoids (26) , nor did they assess smoking status at baseline (27 , 28) .

View this table:
Table 1

Characteristics of the cohort studies included in the pooled analysis of dietary energy-adjusted carotenoids and lung cancer

Outcome Ascertainment

Lung cancer cases were ascertained using follow-up questionnaires with subsequent medical record review (17 , 19) and/or linkage with a cancer registry (18, 19, 20 , 24 , 25) . In addition, some studies used linkage with a death registry or death certificates (17 , 19 , 20 , 29) . We categorized lung cancers by histological type based on International Classification of Diseases for Oncology morphology codes (30) or the histological classification provided by the original study investigators.

Both the Netherlands Cohort Study and the New York State Cohort Study included women and men; each study was analyzed as two separate cohorts defined on the basis of sex. To take advantage of the more extensive diet assessment completed in 1986, the cases and person-time accumulated in the Nurses’ Health Study were divided into two groups for analysis (1980–1986 and 1986–1996); these cohorts were referred to as the Nurses Health Study (a) and the Nurses Health Study (b), respectively.

Dietary Assessment

Food consumption was assessed at baseline using a validated dietary questionnaire developed for each study population (31, 32, 33, 34, 35, 36, 37) . The number of food items on the questionnaires ranged from 45 (New York State Cohort) to 276 (α-Tocopherol, β-Carotene Cancer Prevention Study). The food data were converted into daily nutrient intakes by the software and food composition database of each cohort study before they were sent to the Department of Nutrition at the Harvard School of Public Health. Nutrients were energy-adjusted according to the residual method (38) by using the predicted intake at 2100 kcal/day in men and at 1600 kcal/day in women. Mean energy intake ranged from 1988 kcal/day (Health Professionals Follow-up Study) to 2804 kcal/day (α-Tocopherol, β-Carotene Cancer Prevention Study) in men and from 1569 kcal/day [Nurses’ Health Study (a)] to 2066 kcal/day (Canadian National Breast Screening Study) in women. Lutein intake was combined with zeaxanthin intake because of the difficulty in separating these two carotenoids in laboratory analyses (5 , 7) .

Few of the validation studies (31 , 33, 34, 35, 36, 37 , 39) for the dietary assessment methods used in these cohorts (or of closely related instruments) examined specific carotenoids. The correlation coefficients between dietary intakes and plasma concentrations varied between 0.21 for lycopene and 0.48 for α-carotene in a sample of women who were nonsmokers in the Nurses’ Health Study, and between 0.35 for β-carotene and 0.47 for α-carotene among a sample of men who were nonsmokers in the Health Professionals Follow-up Study (40) . The correlation coefficient between a food frequency questionnaire similar to the one used in the Canadian National Breast Screening Study and a seven-day dietary record was 0.60 for β-carotene (37) . β-Cryptoxanthin is concentrated in fruits, particularly citrus fruits and fruit juices (4 , 7) . Because β-cryptoxanthin intake is highly correlated with dietary vitamin C intake (correlation coefficients ranged from 0.52 to 0.77 in these cohort studies), the validity correlation coefficients for vitamin C may approximate those for β-cryptoxanthin. In the validation studies (31 , 33, 34, 35, 36, 37 , 39) , the correlation coefficients comparing the food frequency questionnaires or closely related instruments and multiple days of dietary records or 24 h recalls were between 0.52 and 0.77 for vitamin C. Analyses of fruits and citrus fruits were only included in the validation studies of the α-Tocopherol, β-Carotene Cancer Prevention Study (32) , the Netherlands Cohort Study (36) , and Health Professionals Follow-up Study (41) . The correlation coefficients in these three studies exceeded 0.60 for fruits, citrus fruits, and/or fruit juices.

Statistical Methods

After applying the exclusion criteria used by each study, we further excluded participants if they reported energy intakes greater or less than 3 standard deviations from the study specific loge-transformed mean energy intake, reported a history of cancer (except non-melanoma skin cancer) at baseline, or had unknown information on smoking habits.

Each study was analyzed using the Cox proportional hazards model (42) . Person-years of follow-up were calculated from the date the baseline questionnaire was returned to the date of lung cancer diagnosis, date of death, or end of follow-up, whichever came first. Age at baseline in years and the year of the baseline questionnaire were included as stratification variables. The Canadian National Breast Screening Study and the Netherlands Cohort Study were analyzed as case-cohort studies (43) using Epicure software (44) . In the other studies, incidence rate ratios were estimated using SAS PROC PHREG (45) .

We analyzed associations with specific carotenoids by quintiles of intake. Study-specific quintiles were assigned based on the distributions in the subcohort in the Canadian National Breast Screening Study and the Netherlands Cohort Study and based on the distributions in the baseline cohort for the remaining studies. In further analyses, we defined categories using cutpoints based on identical absolute intakes across studies. Two-sided 95% confidence intervals (CIs) (95% CIs) and Ps were calculated. To calculate the P for the test for trend across categories of intake, participants were assigned the median value of their category, and this variable was entered as a continuous term in the regression model.

RRs were adjusted for education, body mass index, alcohol consumption, smoking habits, and energy intake (see Table 2⇓ for the categories used). We examined several parameterizations of smoking habits including controlling for smoking history as smoking status only, smoking pack-years, a 10-level categorical variable or as smoking status, years smoked as a continuous variable for past and current smokers, and amount smoked among current smokers. Of these, the last model explained more of the variation in risk and is the one reported here. Additional models were also adjusted for intakes of vitamin C, folate, and other carotenoids, and multivitamin use. An indicator variable for missing responses for measured covariates within a study was created, when needed. We had no missing data for any nutrients, and for each covariate, data were missing from <7% of the participants in each study. Because most of the cohorts included in this pooled analysis did not calculate carotenoid intakes in their validation studies, we could not correct our results for measurement error.

View this table:
Table 2

Pooled relative risks (95% confidence intervals) of lung cancer for quintiles of dietary carotenoids

We used the random effects model (46) to combine the study-specific loge RRs that were weighted by the inverse of their variance. We tested for heterogeneity among studies using the Q statistic (46 , 47) . We tested for variation in RRs by sex and by smoking status using the meta-regression model of Stram (48) . For the analyses stratified by smoking status, identical quartile cutpoints were used for current, past, and never smokers within a cohort. We also tested whether associations differed among adenocarcinomas, small cell carcinomas, and squamous cell carcinomas using a two degree of freedom squared Wald test (49) . Collectively, these three histological types represented at least 60% of the cases in each study.

Results

The final pooled data included 3,155 incident lung cancer cases (1,777 male and 1,378 female) diagnosed among 399,765 participants who were followed for up to 7–16 years across studies (Table 1)⇓ . The follow-up rate for these studies generally exceeded 90%. Carotenoid intakes varied across the cohorts (Table 1)⇓ . The α-Tocopherol, β-Carotene Cancer Prevention Study reported the lowest intakes of each carotenoid, and the New York State Cohort reported the highest intakes with the one exception being that lycopene intake was the highest in the Health Professionals Follow-up Study. Among current smokers, the median Spearman correlation coefficients across studies between intake of each carotenoid and the number of cigarettes smoked per day was −0.09 for α-carotene, −0.09 for β-carotene, −0.14 for β-cryptoxanthin, −0.07 for lutein, and −0.03 for lycopene.

In the age-adjusted analyses, intakes of all five carotenoids were inversely associated with lung cancer risk (P, test for trend ≤0.03; Table 2⇓ ). The pooled RR for the highest compared with the lowest quintile of intake ranged between 0.50 for β-cryptoxanthin and 0.77 for lycopene. The associations were similar after adjustment for education, body mass index, alcohol consumption, and energy intake (data not shown) but were attenuated after additional adjustment for smoking status (as never versus past versus current smokers) and duration of smoking and amount smoked as continuous variables. Only the inverse association between β-cryptoxanthin intake and lung cancer risk remained monotonic and statistically significant (pooled RR = 0.76; 95% CI, 0.67–0.86; for comparison of the highest versus lowest quintile). Study-specific RRs for the highest versus lowest quintile of β-cryptoxanthin intake were statistically significantly inverse in the Nurses’ Health Study (b) and among men in the New York State Cohort. The RR for the highest quintile was greater than unity only in the Nurses’ Health Study (a) (RR = 1.09; 95% CI, 0.68–1.75). None of the associations was significantly modified by sex in the multivariate analyses (Table 2)⇓ . In further analyses, lycopene intake also was not associated with lung cancer risk when the studies [α-Tocopherol, β-Carotene Cancer Prevention Study, Canadian National Breast Screening Study, Netherlands Cohort Study, and Nurses’ Health Study (a)] not including tomato sauce consumption in their food frequency questionnaires were excluded (data not shown). When cases diagnosed during the first two or four years of follow-up were excluded from the analyses, the result for each carotenoid was unchanged (data not shown). The pooled RR for the highest versus lowest quintile of β-cryptoxanthin intake was 0.79 (95% CI, 0.66–0.95) among cases younger than 65 years (n = 1411), and 0.75 (95% CI, 0.63–0.90) among cases 65 years and older (n = 1743); the Nurses’ Health Study (a) was excluded from the latter stratum because only one case was at least 65 years of age at diagnosis.

Because certain foods (e.g., carrots, kale, spinach) are good sources of several carotenoids (5 , 7) , intakes of some carotenoids were highly correlated. For example, Spearman correlation coefficients between α-carotene and β-carotene intakes ranged from 0.66 to 0.98 across studies. However, correlation coefficients between β-cryptoxanthin and the other carotenoids were <0.4. To determine the independent association of each carotenoid with lung cancer risk, all five carotenoids were simultaneously entered in the analyses. Again, the intake of β-cryptoxanthin was inversely associated with lung cancer risk (pooled RR = 0.77; 95% CI, 0.68–0.88; for comparison of the highest versus lowest quintile), whereas intakes of α-carotene, β-carotene, lutein/zeaxanthin, and lycopene were not.

Additional adjustment for vitamin C intake (with or without supplemental intakes), folate intake (with or without supplemental intakes), or multivitamin use did not change appreciably the estimates observed in the multivariate analyses for any of the carotenoids. For example, the pooled RRs of lung cancer for participants in the highest compared with the lowest quintile of β-cryptoxanthin intake were 0.80 (95% CI, 0.69–0.93) after adjustment for dietary vitamin C, 0.75 (95% CI, 0.65–0.86) after adjustment for dietary and supplemental vitamin C intake, 0.77 (95% CI, 0.67–0.88) after adjustment for dietary and supplemental folate intake, and 0.76 (95% CI, 0.67–0.86) after adjustment for multivitamin use.

We further analyzed the association between β-cryptoxanthin intake and lung cancer risk using identical categories defined by absolute intake cutpoints across studies. Compared with β-cryptoxanthin intakes <40 μg/day (the amount of β-cryptoxanthin in approximately one-fourth of an orange; Ref. 7 ), the pooled multivariate RRs of lung cancer were 0.91, 0.78, 0.85, and 0.78 (95% CI, 0.69–0.89; P, test for trend <0.001) for β-cryptoxanthin intakes of 40 to <80 μg, 80 to <120 μg, 120 to <160 μg, and ≥160 μg a day, respectively (Fig. 1)⇓ . Study-specific RRs for β-cryptoxanthin were statistically significant among men in the Netherlands Cohort Study (Fig. 2)⇓ . The RR for the ≥160 μg/day category was greater than unity only in the Nurses’ Health Study (a) (RR = 1.02; 95% CI, 0.65–1.61).

Fig. 1.
Fig. 1.

Pooled multivariate relative risks and 95% confidence intervals for lung cancer by categories of β-cryptoxanthin intake. Relative risks were adjusted for the same covarietes listed in Table 2⇓ . For context, an orange contains about 160 μg of β-cryptoxanthin (Ref. 7 ).

Fig. 2.
Fig. 2.

Study-specific and pooled multivariate-adjusted relative risks (RRs) and (95% confidence intervals) of lung cancer between the highest (≥160 μg/day) and lowest (<40 μg/day) absolute intake cutpoint categories for β-cryptoxanthin intake. For context, an orange contains about 160 μg of β-cryptoxanthin; Reference 7 . RRs were adjusted for the same covariates listed in Table 2⇓ . The black squares and horizontal lines correspond to the study-specific RRs and 95% confidence intervals, respectively, for the comparison of the highest to lowest categories of β-cryptoxanthin intake. The area of the black squares reflects the study-specific weight (inverse of the variance). The diamond represents the pooled RR and 95% confidence interval. The vertical dash line represents the pooled RR. ATBC, α-Tocopherol, β-Carotene Cancer Prevention study; CNBSS, Canadian National Breast Screening Study; HPFS, Health Professionals Follow-up Study; IWHS, Iowa Women’s Health Study; NLCS w, Netherlands Cohort Study-women; NLCS m, Netherlands Cohort Study-men; NYS w, New York State Cohort-women; NYS m, New York State Cohort-men; NHS a, Nurses’ Health Study (a); and NHS b, Nurses’ Health Study (b).

We examined associations between carotenoid intakes and lung cancer risk separately among current (number of lung cancer cases = 1915), past (cases = 981), and never smokers (cases = 259; Table 3⇓ ). The α-Tocopherol, β-Carotene Cancer Prevention Study was excluded in the analyses of past and never smokers because this cohort included only current smokers. There were no statistically significant differences in the RRs for the highest quartile for any of the carotenoids. However, there was a significant difference among the three smoking strata for the test for trend for β-cryptoxanthin intake (P, test for between-study heterogeneity due to smoking status = 0.01). A significant trend for β-cryptoxanthin intake was observed only among current smokers. Among never smokers, there was significant between-study heterogeneity in the RRs for the highest quartile of β-cryptoxanthin intake (P = 0.02); study-specific RRs comparing the highest versus lowest quartile ranged from 0.24 (95% CI, 0.06–0.99) among men in the New York State Cohort to 3.74 (95% CI, 0.99–14.1) among women in the Netherlands Cohort Study. There was a suggestion that β-cryptoxanthin intake was inversely associated with the risk of lung cancer among male never smokers (RR = 0.46; 95% CI, 0.22–0.95 comparing the highest versus lowest quartile) but not female never smokers (RR = 1.05; 95% CI, 0.48–2.31; P for between-study heterogeneity due to sex = 0.12). High lycopene intake was marginally associated with a lower risk of lung cancer in current smokers (P, test for trend = 0.06).

View this table:
Table 3

Pooled multivariate relative risks (95% confidence intervals) of lung cancer for quartiles of dietary carotenoids by smoking statusa

For each carotenoid, there were no statistically significant differences in the associations for adenocarcinomas (number of lung cancer cases = 956), small cell carcinomas (cases = 538), and squamous cell carcinomas (cases = 901; Table 4⇓ ). The women in the New York State Cohort were excluded from the analyses of small cell carcinomas because there were only 14 such carcinomas in this study. The association between β-cryptoxanthin intake and lung cancer risk was significantly inverse for all histological types. No associations between intakes of the other carotenoids and lung cancer risk by histological types were found.

View this table:
Table 4

Pooled multivariate relative risksa (95% confidence intervals) of lung cancer for quartiles of dietary carotenoids by cell typeb

Discussion

In this pooled analysis of seven cohort studies with a total of 3,155 cases, intakes of α-carotene, β-carotene, lutein/zeaxanthin, and lycopene were not associated with lung cancer risk. These results do not support some previous suggestions that high carotenoid intakes are more effective for men than women, for current smokers compared with past or never smokers, or for a specific histological type of lung cancer. Intake of β-cryptoxanthin, however, was inversely associated with lung cancer risk in categorical analyses using either study-specific quintiles or identical absolute intake cutpoints. Although there are potentially different sources of misclassification for these two types of analyses, the pooled multivariate risk of lung cancer was 22–24% lower in the highest compared with the lowest category of β-cryptoxanthin intake in each analysis. Because lung cancer is often diagnosed at a late stage (3) , dietary behavior may be altered in individuals with undiagnosed lung cancer. Our results, however, did not change when cases diagnosed during the first 2 or 4 years of follow-up were excluded from the analyses. Results were also similar after excluding cases who died within a year of their diagnosis. Furthermore, the results did not change when only the cases ≥65 years of age were examined separately.

A comprehensive review by the IARC concluded that the evidence suggests a lack of cancer preventive activity for supplemental β-carotene at high doses (50) . However, the evidence relating usual dietary levels of β-carotene or other carotenoids to the risk of lung cancer was judged to be too limited to be conclusive. Eleven studies (13, 14, 15, 16, 17, 18, 19, 20, 21, 22) have examined the association between the intakes of specific carotenoids (α-carotene, β-carotene, β-cryptoxanthin, lutein, and lycopene) and lung cancer risk. An analysis from one cohort study included in this pooled analysis concluded that folate, vitamin C, and β-cryptoxanthin intakes might be better protective factors against lung cancer than α-carotene, β-carotene, lutein/zeaxanthin, and lycopene intake (18) . Two large United States cohorts also included in this pooled analysis reported a significantly lower risk of lung cancer with higher intakes of α-carotene and lycopene but not with the other carotenoids (17) . The α-Tocopherol, β-Carotene Cancer Prevention Study from Finland (the placebo group was included in this pooled analyses) showed an inverse association between β-cryptoxanthin, lycopene, and lutein/zeaxanthin intakes and lung cancer risk (19) . Another cohort study of Finnish men suggested that dietary α-carotene may be more protective against lung cancer than the other four carotenoids (16) . Three case-control studies in the United States (13 , 14 , 22) found inverse associations with lung cancer for dietary α-carotene and β-carotene; an inverse association was observed for lutein in two of the studies (13 , 14) and cryptoxanthin in the other study (22) . The Canadian National Breast Screening Study (included in this analysis; Ref. 20 ) and a small case-control study (15) found no associations between intakes of any of the specific carotenoids and lung cancer risk. A recent case-control study in the United States showed a significantly lower risk of lung cancer for dietary β-carotene, β-cryptoxanthin, lutein and zeaxanthin, and total carotenoids; however, after adjustment for total vegetable consumption, the risks for the specific carotenoids were attenuated and no longer statistically significant (21) .

In addition to the studies examining intakes of specific carotenoids, two nested case-control studies have shown that plasma α-carotene, β-carotene, β-cryptoxanthin, and lutein/zeaxanthin were each inversely associated with lung cancer risk in analyses that did not control for smoking (51 , 52) . One of these studies also presented findings after adjustment for smoking, after which only β-cryptoxanthin continued to be inversely associated with lung cancer risk (51) . In a nested case-control study of Chinese tin miners, serum β-cryptoxanthin and β-carotene were each positively associated with lung cancer risk after adjustment for tobacco use and radon exposure (53) .

There is some evidence, albeit limited, relating β-cryptoxanthin intake and the risk of cancers other than lung cancer. Borderline or statistically significant inverse associations have been found more often for cancer sites related to smoking (aerodigestive, esophageal, or cervical cancer; Refs. 54, 55, 56, 57 ) than for bladder cancer (58) or hormonally related cancers (breast or prostate cancer; Refs. 59, 60, 61 ).

The majority of epidemiological studies of vegetable and fruit consumption and lung cancer risk have shown an inverse relation (1) . However, the specific types of vegetables or fruits as well as the substances that may be responsible for these associations have remained unclear. We previously found in the Pooling Project a nonsignificant 12% reduction in lung cancer risk with high vegetable consumption and a statistically significant 23% reduction in lung cancer risk with high fruit consumption (62) . Among the specific groups of fruits and vegetables examined, inverse associations were observed for apples and pears, for oranges and tangerines, and for orange juice and grapefruit juice. The inverse association we observed for β-cryptoxanthin complements the finding for fruits because β-cryptoxanthin is mainly derived from oranges, orange juice, and tangerines (4 , 7) .

Our study had several strengths. We specified a priori that we would only include prospective studies that used a validated food frequency questionnaire to estimate dietary intake. These inclusion criteria minimized sources of variation because of study design or study quality. Most of the results in our analyses were consistent across studies, and the test for between-study heterogeneity was not statistically significant (P > 0.05). We included only prospective studies because they are less vulnerable to selection and recall biases that may affect case-control studies of diet-disease associations. We analyzed the primary data from these studies rather than conducting a meta-analysis of the published literature. As a result, we were able to create identical categories for carotenoid intakes and covariates across studies, which removes potential sources of heterogeneity that may occur in a meta-analysis of the published literature.

Our study also had some limitations. Because the association between smoking and lung cancer is very strong and because dietary habits differ between smokers and non-smokers (1) , it is difficult to ensure that all of the potential confounding by smoking habits has been removed in analyses of dietary factors in relation to lung cancer risk (63, 64, 65) . We found in our study that controlling for smoking status, the number of years smoked, and the number of cigarettes smoked per day provided the strongest control of confounding compared with other parameterizations of smoking history. However, the most remarkable changes in risks occurred when smoking status was added to the models. Additional factors that influence lung cancer risk, such as passive smoking, inhalation patterns, time since quitting or intensity of smoking among former smokers, the type of cigarettes smoked, and pipe and cigar smoking habits, were not generally measured in these cohorts and thus could not be controlled for in our analysis.

Stram et al. (65) has suggested that differential bias in the assessment of smoking exposure (usually self-reported) between smokers with low β-carotene intake compared with high intake may explain much of the observed protective effects of high β-carotene intakes in observational studies. Because in our study the correlation coefficients between intakes of the specific carotenoids and the number of cigarettes smoked per day among current smokers ranged from −0.03 for lycopene to −0.14 for β-cryptoxanthin, we cannot exclude some degree of residual confounding by smoking. But we also observed an inverse association for β-cryptoxanthin among never smokers, which suggests that the association may not only be because of confounding by smoking.

Another limitation of our study concerns the assessment of the intake of the specific carotenoids. We only had a one-time measure of carotenoid intakes at baseline and were not able to investigate carotenoid intakes at younger ages or changes in carotenoid intakes during follow-up. Furthermore, correlation coefficients between estimated carotenoid intakes and blood carotenoid concentrations have usually ranged between 0.2 and 0.5, being the highest for β-cryptoxanthin (r = 0.4–0.5) and the lowest for lycopene (r < 0.3) and lutein (r < 0.4; Refs. 40 , 66, 67, 68, 69, 70 ). These modest correlations may be explained by errors in intake estimates due to the dietary questionnaires and nutritional databases (51) or by variation among individuals in carotenoid bioavailability (40) . Furthermore, a single blood carotenoid measure does not perfectly reflect long-term intake (71) . A human experimental trial, however, found that plasma α-carotene, β-carotene, β-cryptoxanthin, lutein, and lycopene responded well to moderate alterations in diet within a short time, although the magnitude of the response may be related to the baseline carotenoid concentration (72) .

The bioavailability of carotenoids can vary substantially depending on the cooking method or the presence of other nutrients (73 , 74) . It is especially difficult to assess the effect of lycopene because many food questionnaires do not include all relevant foods in this respect. Previous studies have shown that lycopene is more bioavailable in cooked than in raw products (73) . In our data, four of the cohort studies did not ask about tomato sauce consumption in their food frequency questionnaires. However, no association was found between high intake of lycopene and lung cancer risk regardless of whether these four studies were included in the analysis. Furthermore, because fruits and vegetables contain many compounds that may decrease cancer risk (75) , we also adjusted for vitamin C, folate, and other carotenoid intakes and for multivitamin use in the analyses of each carotenoid. Although the associations between specific carotenoids and lung cancer risk did not change substantially, it is possible that other substances in fruits and vegetables, particularly citrus fruit, are primarily responsible for the inverse associations observed for β-cryptoxanthin.

The findings from this combined analysis of several large prospective studies do not support any benefit of higher intake of β-carotene from dietary sources in the prevention of lung cancer, nor do they suggest that higher β-carotene intake in the context of normal diets increases lung cancer risk, as was observed in two of the trials of β-carotene supplements (8 , 9) . Our results also suggest that high β-cryptoxanthin intake may decrease the risk of lung cancer, but whether β-cryptoxanthin or other bioactive compounds present in fruits are responsible for this association is unclear and deserves further evaluation. In addition, because smoking is the main cause of lung cancer, we cannot rule out the possibility that our results are attributable to residual confounding by smoking. The most effective actions against lung cancer continue to be smoking prevention and cessation.

Acknowledgments

We thank Shiaw-Shyuan Yaun for data management and John Ritz for statistical expertise in the Pooling Project.

Footnotes

  • Grant support: Research Grant CA55075 and CA78548, Academy of Finland (49637), Finnish Cultural Foundation and Finnish Food Research Foundation.

  • 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.

  • Requests for reprints: Stephanie Smith-Warner, Department of Nutrition, 665 Huntington Avenue, Boston, MA 02115. Phone: (617) 432-4977; Fax: (617) 432-2435.

  • Received January 27, 2003.
  • Revision received August 11, 2003.
  • Accepted September 12, 2003.

References

  1. ↵
    World Cancer Research Fund, American Institute for Cancer Research Expert Panel (J. D. Potter, chair). Food, Nutrition and the Prevention of Cancer: A Global Perspective. Washington DC: American Institute for Cancer Res., 1997.
  2. ↵
    Sellers T. A., Bailey-Wilson J. E., Elston R. C., Wilson A. F., Elston G. Z., Ooi W. L., Rothschild H. Evidence for mendelian inheritance in the pathogenesis of lung cancer. J. Natl. Cancer Inst. (Bethesda), 82: 1272-1277, 1990.
    OpenUrlAbstract/FREE Full Text
  3. ↵
    Blot W. J., Fraumeni J. F., Jr. Cancer of the lung and pleura Schottenfeld D. Fraumeni J., Jr. eds. . Cancer Epidemiology and Prevention, 637-665, Oxford University Press New York 1996.
  4. ↵
    Chug-Ahuja J. K., Holden J. M., Forman M. R., Mangels A. R., Beecher G. R., Lanza E. The development and application of a carotenoid database for fruits, vegetables, and selected multicomponent foods. J. Am. Diet. Assoc., 93: 318-323, 1993.
    OpenUrlCrossRefPubMed
  5. ↵
    Mangels A. R., Holden J. M., Beecher G. R., Forman M. R., Lanza E. Carotenoid content of fruits and vegetables: an evaluation of analytic data. J. Am. Diet. Assoc., 93: 284-296, 1993.
    OpenUrlCrossRefPubMed
  6. ↵
    Goldbohm R. A., Brants H. A. M., Hulshof K. F. A. M., van den Brandt P. A. The contribution of various foods to intake of vitamin A and carotenoids in the Netherlands. Int. J. Vitam. Nutr. Res., 68: 378-383, 1998.
    OpenUrlPubMed
  7. ↵
    Holden J. M., Eldridge A. L., Beecher G. R., Buzzard M. I., Bhagwat S., Davis C. S., Douglass L. W., Gebhardt S., Haytowitz D., Schakel S. Carotenoid content of U. S. foods: an update of the database. J. Food Comp. Anal., 12: 169-196, 1999.
    OpenUrlCrossRef
  8. ↵
    Omenn G. S., Goodman G. E., Thornquist M. D., Balmes J., Cullen M. R., Glass A., Keogh J. P., Meyskens F. L., Jr., Valanis B., Williams J. H., Jr., Barnhart S., Hammar S. Effects of a combination of β carotene and vitamin A on lung cancer and cardiovascular disease. N. Engl. J. Med., 334: 1150-1155, 1996.
    OpenUrlCrossRefPubMed
  9. ↵
    The α-Tocopherol, and β Carotene Cancer Prevention Study Group. The effect of vitamin E and β carotene on the incidence of lung cancer and other cancers in male smokers. N. Engl. J. Med., 330: 1029-1035, 1994.
    OpenUrlCrossRefPubMed
  10. ↵
    Hennekens C. H., Buring J. E., Manson J. E., Stampfer M., Rosner B., Cook N. R., Belanger C., LaMotte F., Gaziano J. M., Ridker P. M., Willett W., Peto R. Lack of effect of long-term supplementation with β carotene on the incidence of malignant neoplasms and cardiovascular disease. N. Engl. J. Med., 334: 1145-1149, 1996.
    OpenUrlCrossRefPubMed
  11. ↵
    Lee I-M., Cook N. R., Manson J. E., Buring J. E., Hennekens C. H. β-Carotene supplementation and incidence of cancer and cardiovascular disease: the Women’s Health Study. J. Natl. Cancer Inst. (Bethesda), 91: 2102-2106, 1999.
    OpenUrlAbstract/FREE Full Text
  12. ↵
    Pryor W. A., Stahl W., Rock C. L. β Carotene: from biochemistry to clinical trials. Nutr. Rev., 58: 39-53, 2000.
    OpenUrlPubMed
  13. ↵
    Le Marchand L., Hankin J. H., Kolonel L. N., Beecher G. R., Wilkens L. R., Zhao L. P. Intake of specific carotenoids and lung cancer risk. Cancer Epidemiol. Biomark. Prev., 2: 183-187, 1993.
    OpenUrlAbstract
  14. ↵
    Ziegler R. G., Colavito E. A., Hartge P., McAdams M. J., Schoenberg J. B., Mason T. J., Fraumeni J. F., Jr. Importance of α-carotene, β-carotene, and other phytochemicals in the etiology of lung cancer. J. Natl. Cancer Inst. (Bethesda), 88: 612-615, 1996.
    OpenUrlFREE Full Text
  15. ↵
    Garcia-Closas R., Agudo A., Gonzalez C. A., Riboli E. Intake of specific carotenoids and flavonoids and the risk of lung cancer in women in Barcelona, Spain. Nutr. Cancer, 32: 154-158, 1998.
    OpenUrlPubMed
  16. ↵
    Knekt P., Järvinen R., Teppo L., Aromaa A., Seppänen R. Role of various carotenoids in lung cancer prevention. J. Natl. Cancer Inst. (Bethesda), 91: 182-184, 1999.
    OpenUrlFREE Full Text
  17. ↵
    Michaud D. S., Feskanich D., Rimm E. B., Colditz G. A., Speizer F. E., Willett W. C., Giovannucci E. Intake of specific carotenoids and risk of lung cancer in two prospective U. S. cohorts. Am. J. Clin. Nutr., 72: 990-997, 2000.
    OpenUrlAbstract/FREE Full Text
  18. ↵
    Voorrips L. E., Goldbohm R. A., Brants H. A. M., van Poppel G. A. F. C., Sturmans F., Hermus R. J. J., van den Brandt P. A. A prospective cohort study on antioxidant and folate intake and male lung cancer risk. Cancer Epidemiol. Biomark. Prev., 9: 357-365, 2000.
    OpenUrlAbstract/FREE Full Text
  19. ↵
    Holick C. N., Michaud D. S., Stolzenberg-Solomon R., Mayne S. T., Pietinen P., Taylor P. R., Virtamo J., Albanes D. Dietary carotenoids, serum β-carotene and retinol and risk of lung cancer in the α-Tocopherol, β-Carotene cohort study. Am. J. Epidemiol., 156: 536-547, 2002.
    OpenUrlAbstract/FREE Full Text
  20. ↵
    Rohan T. E., Jain M., Howe G. R., Miller A. B. A cohort study of dietary carotenoids and lung cancer risk in women (Canada). Cancer Causes Control, 13: 231-237, 2002.
    OpenUrlCrossRefPubMed
  21. ↵
    Wright M. E., Mayne S. T., Swanson C. A., Sinha R., Alavanja M. C. R. Dietary carotenoids, vegetables, and lung cancer risk in women: the Missouri Women’s Health Study (United States). Cancer Causes Control, 14: 85-96, 2003.
    OpenUrlCrossRefPubMed
  22. ↵
    Candelora E. C., Stockwell H. G., Armstrong A. W., Pinkham P. A. Dietary intake and risk of lung cancer in women who never smoked. Nutr. Cancer, 17: 263-270, 1992.
    OpenUrlPubMed
  23. ↵
    Hunter D. J., Spiegelman D., Adami H-O., Beeson L., van den Brandt P. A., Folsom A. R., Fraser G. E., Goldbohm R. A., Graham S., Howe G. R., Kushi L. H., Marshall J. R., McDermott A., Miller A. B., Speizer F. E., Wolk A., Yaun S-S., Willett W. Cohort studies of fat intake and the risk of breast cancer: a pooled analysis. N. Engl. J. Med., 334: 356-361, 1996.
    OpenUrlCrossRefPubMed
  24. ↵
    Steinmetz K. A., Potter J. D., Folsom A. R. Vegetables, fruit, and lung cancer in the Iowa Women’s Health Study. Cancer Res., 53: 536-543, 1993.
    OpenUrlAbstract/FREE Full Text
  25. ↵
    Bandera E. V., Freudenheim J. L., Marshall J. R., Zielezny M., Priore R. L., Brasure J., Baptiste M., Graham S. Diet and alcohol consumption and lung cancer risk in the New York State Cohort (United States). Cancer Causes Control, 8: 828-840, 1997.
    OpenUrlCrossRefPubMed
  26. ↵
    Fraser G. E., Beeson W. L., Phillips R. L. Diet and lung cancer in California Seventh-Day Adventists. Am. J. Epidemiol., 133: 683-693, 1991.
    OpenUrlAbstract/FREE Full Text
  27. ↵
    Toniolo P., Riboli E., Shore R. E., Pasternack B. S. Consumption of meat, animal products, protein, and fat and risk of breast cancer: a prospective cohort study in New York. Epidemiology, 5: 391-397, 1994.
    OpenUrlCrossRefPubMed
  28. ↵
    Wolk A., Bergström R., Hunter D., Willett W., Ljung H., Holmberg L., Bergkvist L., Bruce Å., Adami H. O. A prospective study of association of monounsaturated fat and other types of fat with risk of breast cancer. Arch. Intern. Med., 158: 41-45, 1998.
    OpenUrlCrossRefPubMed
  29. ↵
    Bandera E. V., Freudenheim J. L., Marshall J. R., Priore R. L., Brasure J., Baptiste M., Graham S. Impact of losses to follow-up on diet/alcohol and lung cancer analyses in the New York State Cohort. Nutr. Cancer, 42: 41-47, 2002.
    OpenUrlCrossRefPubMed
  30. ↵
    Percy C., Van Holten V., Muir C. . International Classification of Diseases for Oncology, WHO Geneva 1990.
  31. ↵
    Willett W. C., Sampson L., Stampfer M. J., Rosner B., Bain C., Witschi J., Hennekens C. H., Speizer F. E. Reproducibility and validity of a semiquantitative food frequency questionnaire. Am. J. Epidemiol., 122: 51-65, 1985.
    OpenUrlAbstract/FREE Full Text
  32. ↵
    Pietinen P., Hartman A. M., Haapa E., Rasanen L., Haapakoski J., Palmgren J., Albanes D., Virtamo J., Huttunen J. K. Reproducibility and validity of dietary assessment instruments II. A qualitative food frequency questionnaire. Am. J. Epidemiol., 128: 667-676, 1988.
    OpenUrlAbstract/FREE Full Text
  33. ↵
    Munger R. G., Folsom A. R., Kushi L. H., Kaye S. A., Sellers T. A. Dietary assessment of older Iowa women with a food frequency questionnaire: nutrient intake, reproducibility, and comparison with 24-hour dietary recall interviews. Am. J. Epidemiol., 136: 192-200, 1992.
    OpenUrlAbstract/FREE Full Text
  34. ↵
    Rimm E. B., Giovannucci E. L., Stampfer M. J., Colditz G. A., Litin L. B., Willett W. C. Reproducibility and validity of an expanded self-administered semiquantitative food frequency questionnaire among male health professionals. Am. J. Epidemiol., 135: 1114-1126, 1992.
    OpenUrlAbstract/FREE Full Text
  35. ↵
    Feskanich D., Marshall J., Rimm E. B., Litin L. B., Willett W. C. Simulated validation of a brief food frequency questionnaire. Ann. Epidemiol., 4: 181-187, 1994.
    OpenUrlCrossRefPubMed
  36. ↵
    Goldbohm R. A., van den Brandt P. A., Brants H. A. M., van’t Veer P., Al M., Sturmans F., Hermus R. J. J. Validation of a dietary questionnaire used in a large-scale prospective cohort study on diet and cancer. Eur. J. Clin. Nutr., 48: 253-265, 1994.
    OpenUrlPubMed
  37. ↵
    Jain M., Howe G. R., Rohan T. Dietary assessment in epidemiology: comparison of a food frequency and a diet history questionnaire with a 7-day food record. Am. J. Epidemiol., 143: 953-960, 1996.
    OpenUrlAbstract/FREE Full Text
  38. ↵
    Willett W., Stampfer M. J. Total energy intake: implications for epidemiologic analyses. Am. J. Epidemiol., 124: 17-27, 1986.
    OpenUrlFREE Full Text
  39. ↵
    Pietinen P., Hartman A. M., Haapa E., Räsänen L., Haapakoski J., Palmgren J., Albanes D., Virtamo J., Huttunen J. K. Reproducibility and validity of dietary assessment instruments. I. A self-administered food use questionnaire with a portion size picture booklet. Am. J. Epidemiol., 128: 655-666, 1988.
    OpenUrlAbstract/FREE Full Text
  40. ↵
    Michaud D. S., Giovannucci E. L., Ascherio A., Rimm E. B., Forman M. R., Sampson L., Willett W. C. Associations of plasma carotenoid concentrations and dietary intake of specific carotenoids in samples of two prospective cohort studies using a new carotenoid database. Cancer Epidemiol. Biomark. Prev., 7: 283-290, 1998.
    OpenUrlAbstract
  41. ↵
    Hu F. B., Rimm E., Smith-Warner S. A., Feskanich D., Stampfer M. J., Ascherio A., Sampson L., Willett W. C. Reproducibility and validity of dietary patterns assessed with a food-frequency questionnaire. Am. J. Clin. Nutr., 69: 243-249, 1999.
    OpenUrlAbstract/FREE Full Text
  42. ↵
    Cox D. R. Regression models and life-tables. J. R. Stat. Soc., (Ser. B), 34: 187-220, 1972.
    OpenUrl
  43. ↵
    Prentice R. L. A case-cohort design for epidemiologic cohort studies and disease prevention trials. Biometrika, 73: 1-11, 1986.
    OpenUrlAbstract/FREE Full Text
  44. ↵
    . EPICURE User’s Guide: The PEANUTS Program, Hirosoft Seattle, WA 1993.
  45. ↵
    . SAS/STAT Software: The PHREG Procedure: Preliminary Documentation, SAS Institute Cary, NC 1991.
  46. ↵
    DerSimonian R., Laird N. Meta-analysis in clinical trials. Control. Clin. Trials, 7: 177-188, 1986.
    OpenUrlCrossRefPubMed
  47. ↵
    Cochran W. G. The combination of estimates from different experiments. Biometrics, 10: 101-129, 1954.
    OpenUrlCrossRef
  48. ↵
    Stram D. O. Meta-analysis of published data using a linear mixed-effects model. Biometrics, 52: 536-544, 1996.
    OpenUrlCrossRefPubMed
  49. ↵
    Prentice R. L., Kalbfleisch J. D., Peterson A. V., Flavnoy N., Farewell Y. T., Breslow N. E. The analysis of failure times in the presence of competing risks. Biometrics, 34: 541-554, 1978.
    OpenUrlCrossRefPubMed
  50. ↵
    Vainio H., Rautalahti M. An international evaluation of the cancer preventive potential of carotenoids. Cancer Epidemiol. Biomark. Prev., 7: 725-728, 1998.
    OpenUrlAbstract
  51. ↵
    Yuan J-M., Ross R. K., Chu X-D., Gao Y-T., Yu M. C. Prediagnostic levels of serum β-cryptoxanthin and retinol predict smoking-related lung cancer risk in Shanghai, China. Cancer Epidemiol. Biomark. Prev., 10: 767-773, 2001.
    OpenUrlAbstract/FREE Full Text
  52. ↵
    Comstock G. W., Alberg A. J., Huang H-Y., Wu K., Burke A. E., Hoffman S. C., Norkus E. P., Gross M., Cutler R. G., Morris J. S., Spate V. L., Helzlsouer K. J. The risk of developing lung cancer associated with antioxidants in the blood: ascorbic acid, carotenoids, α-tocopherol, selenium, and total peroxyl radical absorbing capacity. Cancer Epidemiol. Biomark. Prev., 6: 907-916, 1997.
    OpenUrlAbstract
  53. ↵
    Ratnasinghe D., Forman M. R., Tangrea J. A., Qiao Y., Yao S-X., Gunter E. W., Barrett M. J., Giffen C. A., Erozan Y., Tockman M. S., Taylor P. R. Serum carotenoids are associated with increased lung cancer risk among alcohol drinkers, but not among non-drinkers in a cohort of tin miners. Alcohol Alcohol., 35: 355-360, 2000.
    OpenUrlAbstract/FREE Full Text
  54. ↵
    Nomura A. M. Y., Ziegler R. G., Stemmermann G. N., Chyou P. H., Craft N. E. Serum micronutrients and upper aerodigestive tract cancer. Cancer Epidemiol. Biomark. Prev., 6: 407-412, 1997.
    OpenUrlAbstract
  55. ↵
    Batieha A. M., Armenian H. K., Norkus E. P., Morris J. S., Spate V. E., Comstock G. W. Serum micronutrients and the subsequent risk of cervical cancer in a population-based nested case-control study. Cancer Epidemiol. Biomark. Prev., 2: 335-339, 1993.
    OpenUrlAbstract
  56. ↵
    De Stefani E., Brennan P., Boffetta P., Ronco A. L., Mendilaharsu M., Deneo-Pellegrini H. Vegetables, fruits, related dietary antioxidants, and risk of squamous cell carcinoma of the esophagus: a case-control study in Uruguay. Nutr. Cancer, 38: 23-29, 2000.
    OpenUrlCrossRefPubMed
  57. ↵
    Chen H., Tucker K. L., Graubard B. I., Heineman E. F., Markin R. S., Potischman N. A., Russell R. M., Weisenburger D. D., Ward M. H. Nutrient intakes and adenocarcinoma of the esophagus and distal stomach. Nutr. Cancer, 42: 33-40, 2002.
    OpenUrlCrossRefPubMed
  58. ↵
    Michaud D. S., Pietinen P., Taylor P. R., Virtanen M., Virtamo J., Albanes D. Intakes of fruits and vegetables, carotenoids and vitamins A, E, C in relation to the risk of bladder cancer in the ATBC cohort study. Br. J. Cancer, 87: 960-965, 2002.
    OpenUrlCrossRefPubMed
  59. ↵
    Giovannucci E., Ascherio A., Rimm E. B., Stampfer M. J., Colditz G. A., Willett W. C. Intake of carotenoids and retinol in relation to risk of prostate cancer. J. Natl. Cancer Inst. (Bethesda), 87: 1767-1776, 1995.
    OpenUrlAbstract/FREE Full Text
  60. ↵
    Lu Q. Y., Hung J. C., Heber D., Go V. L., Reuter V. E., Cordon-Cardo C., Scher H. I., Marshall J. R., Zhang Z. F. Inverse associations between plasma lycopene and other carotenoids and prostate cancer. Cancer Epidemiol. Biomark. Prev., 10: 749-756, 2001.
    OpenUrlAbstract/FREE Full Text
  61. ↵
    Terry P., Jain M., Miller A. B., Howe G. R., Rohan T. E. Dietary carotenoids and risk of breast cancer. Am. J. Clin. Nutr., 76: 883-888, 2002.
    OpenUrlAbstract/FREE Full Text
  62. ↵
    Smith-Warner S. A., Spiegelman D., Yaun S.-S., Albanes D., Beeson W. L., van den Brandt P. A., Feskanich D., Folsom A. R., Fraser G. E. H., Freudenheim J. L., Giovannucci E., Goldbohm R. A., Graham S., Kushi L., Miller A. B., Pietinen P., Rohan T. E., Speizer F. E., Willett W. C., Hunter D. J. Fruits and vegetables and lung cancer: a pooled analysis of cohort studies. Int. J. Cancer, 107: 1001-1011, 2003.
    OpenUrlCrossRefPubMed
  63. ↵
    Brennan P., Fortes C., Butler J., Agudo A., Benhamou S., Darby S., Gerken M., Jöckel K-H., Kreuzer M., Mallone S., Nyberg F., Pohlabeln H., Ferro G., Boffetta P. A multicenter case-control study of diet and lung cancer among non-smokers. Cancer Causes Control, 11: 49-58, 2000.
    OpenUrlCrossRefPubMed
  64. ↵
    Marshall J. R., Hastrup J. L., Ross J. S. Mismeasurement and the resonance of strong confounders: correlated errors. Am. J. Epidemiol., 150: 88-96, 1999.
    OpenUrlAbstract/FREE Full Text
  65. ↵
    Stram D. O., Huberman M., Wu A. H. Is residual confounding a reasonable explanation for the apparent protective effects of β-carotene found in epidemiologic studies of lung cancer in smokers?. Am. J. Epidemiol., 155: 622-628, 2002.
    OpenUrlAbstract/FREE Full Text
  66. ↵
    Forman M. R., Lanza E., Yong L-C., Holden J. M., Graubard B. I., Beecher G. R., Melitz M., Brown E. D., Smith J. C. The correlation between two dietary assessments of carotenoid intake and plasma carotenoid concentrations: application of a carotenoid food-composition database. Am. J. Clin. Nutr., 58: 519-524, 1993.
    OpenUrlAbstract/FREE Full Text
  67. ↵
    Yong L. C., Forman M. R., Beecher G. R., Graubard B. I., Campbell W. S., Reichman M. E., Taylor P. R., Lanza E., Holden J. M., Judd J. T. Relationship between dietary intake and plasma concentrations of carotenoids in premenopausal women: application of the USDA-NCI carotenoid food-composition database. Am. J. Clin. Nutr., 60: 223-230, 1994.
    OpenUrlAbstract/FREE Full Text
  68. ↵
    Ritenbaugh C., Peng Y. M., Aickin M., Graver E., Branch M., Alberts D. S. New carotenoid values for foods improve relationship of food frequency questionnaire intake estimates to plasma values. Cancer Epidemiol. Biomark. Prev., 5: 907-912, 1996.
    OpenUrlAbstract
  69. ↵
    VandenLangenberg G. M., Brady W. E., Nebeling L. C., Block G., Forman M., Bowen P. E., Stacewicz-Sapuntzakis M., Mares-Perlman J. A. Influence of using different sources of carotenoid data in epidemiologic studies. J. Am. Diet. Assoc., 96: 1271-1277, 1996.
    OpenUrlCrossRefPubMed
  70. ↵
    Marshall J. R., Lanza E., Bloch A., Caan B., Caggiula A., Quandt S., Iber F., Kikendall W., Slattery M., Sowell A. Indexes of food and nutrient intakes as predictors of serum concentrations of nutrients: the problem of inadequate discriminant validity. The Polyp Prevention Trial Study Group. Am. J. Clin. Nutr., 65: 1269S-1274S, 1997.
    OpenUrlAbstract/FREE Full Text
  71. ↵
    Willett W. . Nutritional Epidemiology, Oxford University Press New York 1998.
  72. ↵
    Yeum K-J., Booth S. L., Sadowski J. A., Liu C., Tang G., Krinsky N. I., Russell R. M. Human plasma carotenoid response to the ingestion of controlled diets high in fruits and vegetables. Am. J. Clin. Nutr., 64: 594-602, 1996.
    OpenUrlAbstract/FREE Full Text
  73. ↵
    Stahl W., Sies H. Uptake of lycopene and its geometrical isomers is greater from heat-processed than from unprocessed tomato juice in humans. J. Nutr., 122: 2161-2166, 1992.
  74. ↵
    Parker R. S., Swanson J. E., You C-S., Edwards A. J., Huang T. Bioavailability of carotenoids in human subjects. Proc. Nutr. Soc., 58: 155-162, 1999.
    OpenUrlCrossRefPubMed
  75. ↵
    Steinmetz K. A., Potter J. D. Vegetables, fruit, and cancer prevention: a review. J. Am. Diet. Assoc., 96: 1027-1039, 1996.
    OpenUrlCrossRefPubMed
View Abstract
Back to top
Cancer Epidemiology Biomarkers & Prevention: 13 (1)
January 2004
Volume 13, Issue 1

Sign up for alerts

View this article with LENS

Open full page PDF
Article Alerts
Email Article
Citation Tools
Dietary Carotenoids and Risk of Lung Cancer in a Pooled Analysis of Seven Cohort Studies
Satu Männistö, Stephanie A. Smith-Warner, Donna Spiegelman, Demetrius Albanes, Kristin Anderson, Piet A. van den Brandt, James R. Cerhan, Graham Colditz, Diane Feskanich, Jo L. Freudenheim, Edward Giovannucci, R. Alexandra Goldbohm, Saxon Graham, Anthony B. Miller, Thomas E. Rohan, Jarmo Virtamo, Walter C. Willett and David J. Hunter
Cancer Epidemiol Biomarkers Prev January 1 2004 (13) (1) 40-48; DOI: 10.1158/1055-9965.EPI-038-3
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo

Jump to section

Advertisement