Abstract
Background:
Although low levels of folate leads to disturbances in DNA replication, DNA methylation and DNA repair, the association between dietary folate intake and head and neck cancer (HNC) risk remains unclear.
Methods:
We evaluated the association between folate intake and HNC risk using prospective cohort data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) cancer screening trial. This study included 101 700 participants and 186 cases with confirmed incident HNC. The median follow-up was 12.5 years. We estimated hazard ratios (HRs) and the corresponding 95% confidence intervals (CIs) using Cox proportional hazard model including age, sex, body mass index, education, race, tobacco smoking, alcohol drinking and total fruit and vegetable intake.
Results:
Higher intake of food folate and fortified folic acid in foods was associated with a decreasing HNC risk in a dose–response manner. The HRs of highest vs the lowest quartile of intake were 0.35 (95%CI: 0.18–0.67) for food folate, and 0.49 (95%CI: 0.30–0.82) for fortified folic acid. Intakes of total folate, natural folate and supplemental folic acid were not associated with the risk of HNC and its subsites. We did not detect any interaction between smoking, drinking and food folate intake on HNC risk.
Conclusions:
These findings provide evidence of the protective role of dietary folate intake on HNC risk.
Keywords: food folate, fortified folic acid, supplemental folic acid, risk, head and neck cancer, prospective cohort study
In the United States, over 60 000 new head and neck cancer (HNC) cases was diagnosed, with over 16 000 patients dying from HNC in 2016, and this is the sixth most common cancer among men (Siegel et al, 2016). Tobacco smoking, alcohol drinking and human papilloma virus (HPV) infection for oropharyngeal cancer are established risk factors (Hashibe et al, 2009; Lubin et al, 2009; Marur et al, 2010). However, the role of other environmental factors, including dietary factors, remains unclear.
Fruit and non-starchy vegetables, which are rich in minerals, antioxidants, and vitamins including folate, may decrease HNC risk (Pavia et al, 2006; Freedman et al, 2008; Lucenteforte et al, 2009). Folate is a water-soluble vitamin of the B complex group and plays a definite role in one-carbon metabolism, which facilitates de novo deoxynucleoside triphosphate synthesis and provides methyl groups required for intracellular methylation reactions (Lamprecht and Lipkin, 2003). Since folate insufficiency leads to disturbances in DNA replication, DNA methylation and DNA repair (Duthie, 1999; Kim, 1999; Choi and Mason, 2002), deficiency of folate intake may increase the risk of HNC. This issue has been evaluated by several epidemiological studies (McLaughlin et al, 1988; De Stefani et al, 1999; Negri et al, 2000; Weinstein et al, 2002; Bidoli et al, 2003; Pelucchi et al, 2003; Suzuki et al, 2007; Shanmugham et al, 2010; Aune et al, 2011; Tavani et al, 2012; Galeone et al, 2015), including one large-scale pooled-analysis (Galeone et al, 2015). Most studies reported that higher folate intake was associated with a decreased HNC risk (Negri et al, 2000; Weinstein et al, 2002; Bidoli et al, 2003; Pelucchi et al, 2003; Suzuki et al, 2007; Shanmugham et al, 2010; Aune et al, 2011; Tavani et al, 2012; Galeone et al, 2015) except for two studies (McLaughlin et al, 1988; De Stefani et al, 1999). Most investigations were case-control studies except for the Nurse’s Health Study (Shanmugham et al, 2010), which however considered only the alcohol–folate interaction. Therefore, further evidence and quantification from cohort studies would aid the understanding of the relationship between folate and HNC risk.
In this study, we evaluated the association between folate intake and the risk of HNC using observational prospective data from the Prostate, Lung, Colorectal, and Ovarian (PLCO) cancer screening trial (Prorok et al, 2000).
Materials and methods
Study design and subjects
The PLCO cancer screening trial is a large-scale clinical trial designed to determine whether selected screening tests reduce deaths from prostate, lung, colorectal, and ovarian cancer (Prorok et al, 2000). The trial started in 1992 and ended enrolment in 2001. Approximately 155 000 participants between the ages of 55 and 74 were enrolled at 10 centres across the United States (Alabama, Michigan, Colorado, Hawaii, Wisconsin, Minnesota, Pennsylvania, Utah, Missouri, and Washington DC). Participants were individually randomised to the control arm or intervention arm in equal proportions. Participants assigned to the control arm received usual care, whereas participants assigned to the intervention arm were invited to receive screening exams for prostate, lung, colorectal, and ovarian cancers. Screening of participants ended in late 2006. Follow-up continues for up to 10 more years to determine the benefits or harms of screening tests. Written informed consent was obtained from all study participants. Ethical approval for human subject’s research was obtained at each of the centres.
Assessment of lifestyle factors and head and neck cancer confirmation
Subjects randomised to either study arm (control or intervention) were eligible if they had completed the baseline questionnaire and the diet history questionnaire, which was administered to participants in both arms between 1998 and 2005 (Subar et al, 2000). A study update was mailed yearly to participants to ascertain and confirm cancer diagnoses. Participants were asked if they were diagnosed with cancer, which kind of cancer, date of diagnosis, hospital or clinic of diagnosis, and physician contact information. For every cancer reported, medical record abstraction included the cancer diagnosis date and the International Classification of Disease for Oncology, second version (ICD-O-2) code. Vital status was obtained by the administration of the Annual Study Update questionnaire, reports from relatives, friends, or physicians, and National Death Index plus searches. The study centres attempted to obtain a death certificate for each death. If participants were diagnosed with cancer after study entry, which ranged from 1992 to 2001, and before completion of the dietary questionnaire, they were not eligible. HNC cases were diagnosed from enrolment completion to December 2009, the last available follow-up. Only malignant primary HNC cases were considered in the present analysis. Tumours were assigned to one of the five categories as follows: (1) oral cavity: ICD-O-2 codes C00.3 to C00.9, C02.0 to C02.3, C03.0, C03.1, C03.9, C04.0, C04.1, C04.8, C04.9, C05.0, C06.0 to C06.2, C06.8, and C06.9; (2) oropharynx: ICD-O-2 codes C01.9, C02.4, C05.1, C05.2, C09.0, C09.1, C09.8, C09.9, C10.0, C10.2-C10.4, C10.8, and C10.9; (3) hypopharynx: ICD-O-2 codes C12.9, C13.0 to C13.2, C13.8, and C13.9; (4) oral cavity or pharynx not otherwise specified (NOS): ICD-O-2 codes C02.8, C02.9, C05.8, C05.9, C14.0, C14.2, and C14.8; and (5) larynx: ICD-O-2codes C10.1, C32.0 to C32.3 and C32.8 to C32.9. Of the 154 897 participants recruited into the PLCO study, 111 488 participants completed both the baseline questionnaire and the diet history questionnaire. Of the 111 488 participants with valid questionnaires, participants were excluded because: (1) they had cancer before entry into the PLCO study (n=9697); (2) they did not have follow-up time (n=91). Thus, this study included 101 700 participants, and 186 cases with confirmed incident HNC. For HNC cases, the numbers for control vs intervention group were: 93 vs 93.
The baseline questionnaire included information on age, sex, race, education, tobacco smoking, alcohol drinking, family history of cancer, medical history, weight, height and other selected lifestyle factors. Dietary data were collected using a self-administered food-frequency questionnaire, the Diet History Questionnaire, version 1.0 (National Cancer Institute, 2017), which was distributed to the control and intervention arms of the trial between 1998 and 2005 (Subar et al, 2000). The diet history questionnaire included portion size and frequency of consumption of 124 food item and supplement use during the past year (National Cancer Institute, 2017). Folate intake was estimated in accordance with the following five sources (Oaks et al, 2010): (1) natural folate (polyglutamates found naturally in food), (2) fortified folic acid (folic acid added to food), (3) food folate (a combination of natural folate and fortified folic acid), (4) supplemental folic acid (folic acid from vitamin supplements), and (5) total folate intake (a combination of food folate and supplemental folic acid). Food folate content was based on pre-folic acid fortification (1998) database information from the 1994–1996 Continuing Survey of Food Intake by Individuals (Subar et al, 1995). The post-folic acid grain fortification database information from the Nutrition Data System for Research (NDS-R) was used to estimate folic acid from fortified food. The NDS-R combines nutrition information from the US Department of Agriculture Nutrient Database for Standard Reference, food manufacturers, scientific literature, and other published food tables (University of Minnesota Nutrition Co-ordinating Center, NDSR descriptive overview). Supplemental folic acid use and dose were derived from recent use (current or 2 year ago) of four multivitamins (Oaks et al, 2010): One-a-Day (100% of the Recommended Dietary Allowance; Bayer Corp, Pittsburgh, PA, USA), a therapeutic or high-dose type (>100% of the Recommended Dietary Allowance; e.g., Theragran; Bristol-Myers Squibb, New York, NY, USA), Stresstabs (B-complex+vitamin C; Inverness Medical Inc, Waltham, MA, USA), and B-complex. The B-complex multivitamin was assigned a 200-mcg folic acid dose, whereas the other multivitamins were assigned a 400-mcg folic acid dose.
Statistical analysis
Follow-up time was calculated from the date of entry until the occurrence of one of the following events: diagnosis of HNC, death, or the end of follow-up. We estimated hazard ratios (HRs) and the corresponding 95% confidence intervals (CIs) of HNC and its subsites for quartile categories of folate intake using the Cox proportional hazards model. Models included adjustment for age (categorical), sex, body mass index (BMI) at interview (⩽24.9 kg m−2 vs ⩾25 kg m−2), education (⩽high school vs ⩾some college), race (White, non-Hispanic vs Other), pipe and cigar smoking status (never vs former vs current), pack-year cigarette smoking (never vs <20 vs ⩾20), alcohol drinking intensity (never vs <4.1 g per day vs ⩾4.1 g per day), non-alcohol total energy (continuous), and total fruit and vegetable intake (continuous). To test interactions, we performed likelihood-ratio tests, which compared models with and without the interaction term.
All statistical analyses were performed using the software STATA version.13 (Stata Corp, College Station, TX, USA). All tests were two-sided.
Results
The median follow-up was 12.5 years. Table 1 shows the characteristics of the PLCO cohort and the HNC cases. Higher proportions of male, smokers, and drinkers were found in the HNC cases. Other characteristics showed no appreciable difference between the cohort and the HNC cases. The HNC cases consisted of 81 cases of oral cavity, 18 of oropharynx, 10 of hypopharynx, 1 of NOS, and 76 of larynx.
Table 1. Characteristics of the PLCO cohort and the head and neck cancer cases.
Cohort | Cases | |||
---|---|---|---|---|
Characteristics | No. of participants | % | No. of cases | % |
Total | 101 700 | 186 | ||
Age | ||||
⩽59 years | 34 950 | 35 | 63 | 34 |
60–64 years | 31 742 | 31 | 60 | 32 |
65–69 years | 22 526 | 22 | 44 | 24 |
⩾70 years | 12 482 | 12 | 19 | 10 |
Sex | ||||
Male | 49 460 | 49 | 150 | 81 |
Female | 52 240 | 51 | 36 | 19 |
BMI | ||||
⩽24.9 kg m−2 | 33 737 | 33 | 63 | 34 |
⩾25.0 kg m−2 | 66 630 | 66 | 119 | 64 |
Missing | 1333 | 1 | 4 | 2 |
Education | ||||
⩽High school | 42 916 | 42 | 81 | 44 |
⩾Some college | 58 587 | 58 | 105 | 56 |
Missing | 197 | 0 | 0 | 0 |
Race | ||||
White, Non-Hispanic | 92 483 | 91 | 168 | 90 |
Other | 9217 | 9 | 18 | 10 |
Pack-year cigarette smoking | ||||
Never | 48 544 | 48 | 36 | 19 |
<20 | 19 239 | 19 | 25 | 13 |
⩾20 | 32 761 | 32 | 124 | 67 |
Missing | 1156 | 1 | 1 | 1 |
Alcohol drinking intensity (g per day) | ||||
Never | 27 744 | 28 | 43 | 23 |
Q1 (<4.1) | 36 976 | 36 | 43 | 23 |
Q2 (⩾4.1) | 36 980 | 36 | 100 | 54 |
Pipe smoking | ||||
Never | 86 543 | 85 | 146 | 78 |
Former | 13 336 | 13 | 35 | 19 |
Current | 937 | 1 | 5 | 3 |
Missing | 884 | 1 | 0 | 0 |
Cigar smoking | ||||
Never | 88 217 | 87 | 147 | 79 |
Former | 10 820 | 10 | 31 | 17 |
Current | 1678 | 2 | 7 | 4 |
Missing | 985 | 1 | 1 | 0 |
Non-alcohol total energy (kcal per day) | ||||
Mean±s.d. | 1670.91±698.09 |
1767.20±734.39 |
||
Total vegetable intake (g per day) | ||||
Mean±s.d. | 284.03±186.37 |
263.72±162.46 |
||
Total fruit intake (g per day) | ||||
Mean±s.d. | 273.91±217.84 |
212.31±281.97 |
||
Primary site | ||||
Oral cavity | 81 | 44 | ||
Oropharynx | 18 | 10 | ||
Hypopharynx | 10 | 5 | ||
NOS | 1 | 0 | ||
Larynx | 76 | 41 |
Abbreviations: BMI=body mass index; NOS=oral cavity or pharynx not otherwise specified; PLCO= prostate, lung, colorectal, and ovarian cancer screening trial; s.d.=standard deviation.
Table 2 gives the multivariate HRs, and the corresponding 95% CI for the various sources of folate intake on the risk of HNC and its subsites. Higher intake of food folate and fortified folic acid was associated with a decreased HNC risk in a dose–response manner. The HRs of highest vs the lowest quartile of intake were 0.35 (95% CI: 0.18–0.67) for food folate, and 0.49 (95% CI: 0.30–0.82) for fortified folic acid. Although these trends were consistent in laryngeal cancer cases, the impact of food folate or fortified folic acid were weaker than that for oral cavity and pharyngeal cancer cases, especially for fortified folic acid. Intakes of total folate, natural folate, and supplemental folic acid were not observed to be associated with the risk of HNC and its subsites, though all the HRs were below unity.
Table 2. Dietary folate intake and the risk of head and neck cancer or subsites in the PLCO cohort.
Head and neck |
Oral cavity and Pharynx |
Larynx |
|||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Nutrients | Cohort | Cases | HRa | 95% CI | P-value | Cases | HRa | 95% CI | P-value | Cases | HRa | 95% CI | P-value |
Total folate (μg per day) | |||||||||||||
Q1 (<375.91) | 25 424 | 59 | 1.00 | — | — | 35 | 1.00 | — | — | 24 | 1.00 | — | — |
Q2 (⩾375.91 to <611.80) | 25 426 | 52 | 0.91 | 0.62–1.35 | 0.643 | 24 | 0.65 | 0.38–1.12 | 0.119 | 27 | 1.33 | 0.75–2.38 | 0.329 |
Q3 (⩾611.80 to <780.26) | 25 422 | 36 | 0.71 | 0.47–1.09 | 0.121 | 25 | 0.74 | 0.44–1.26 | 0.268 | 11 | 0.64 | 0.31–1.33 | 0.234 |
Q4 (⩾780.26) | 25 428 | 39 | 0.72 | 0.45–1.16 | 0.183 | 25 | 0.64 | 0.35–1.18 | 0.157 | 14 | 0.85 | 0.40–1.82 | 0.676 |
Ptrend | 0.090 | 0.220 | 0.261 | ||||||||||
Food folate (μg per day) | |||||||||||||
Q1 (<261.36) | 25 425 | 61 | 1.00 | — | — | 30 | 1.00 | — | — | 30 | 1.00 | — | — |
Q2 (⩾261.36 to <350.41) | 25 422 | 33 | 0.47 | 0.30–0.73 | 0.001 | 22 | 0.65 | 0.36–1.16 | 0.143 | 11 | 0.30 | 0.15–0.63 | 0.001 |
Q3 (⩾350.41 to <461.90) | 25 427 | 54 | 0.64 | 0.41–1.01 | 0.056 | 32 | 0.83 | 0.45–1.50 | 0.532 | 22 | 0.50 | 0.25–1.00 | 0.051 |
Q4 (⩾461.90) | 25 426 | 38 | 0.35 | 0.18–0.67 | 0.002 | 25 | 0.52 | 0.23–1.22 | 0.132 | 13 | 0.21 | 0.07–0.62 | 0.005 |
ptrend | 0.009 | 0.265 | 0.013 | ||||||||||
Natural folate (μg per day) | |||||||||||||
Q1 (<170.22) | 25 425 | 51 | 1.00 | — | — | 29 | 1.00 | — | — | 21 | 1.00 | — | — |
Q2 (⩾170.22 to <228.77) | 25 422 | 45 | 0.89 | 0.57–1.37 | 0.592 | 29 | 0.91 | 0.52–1.59 | 0.746 | 16 | 0.92 | 0.45–1.87 | 0.818 |
Q3 (⩾228.77 to <304.99) | 25 426 | 47 | 0.93 | 0.56–1.55 | 0.788 | 24 | 0.70 | 0.36–1.35 | 0.287 | 23 | 1.55 | 0.70–3.40 | 0.279 |
Q4 (⩾304.99) | 25 427 | 43 | 0.88 | 0.43–1.79 | 0.723 | 27 | 0.69 | 0.28–1.71 | 0.425 | 16 | 1.41 | 0.46–4.28 | 0.548 |
ptrend | 0.772 | 0.309 | 0.331 | ||||||||||
Fortified folic acid (μg per day) | |||||||||||||
Q1 (<71.20) | 25 421 | 49 | 1.00 | — | — | 25 | 1.00 | — | — | 23 | 1.00 | — | — |
Q2 (⩾71.20 to <109.89) | 25 428 | 47 | 0.91 | 0.61–1.38 | 0.665 | 25 | 0.96 | 0.54–1.68 | 0.877 | 22 | 0.90 | 0.50–1.65 | 0.744 |
Q3 (⩾109.89 to <163.35) | 25 421 | 55 | 0.95 | 0.63–1.44 | 0.810 | 35 | 1.22 | 0.70–2.11 | 0.482 | 20 | 0.72 | 0.38–1.39 | 0.330 |
Q4 (⩾163.35) | 25 430 | 35 | 0.49 | 0.30–0.82 | 0.006 | 24 | 0.70 | 0.37–1.35 | 0.290 | 11 | 0.32 | 0.14–0.73 | 0.007 |
ptrend | 0.014 | 0.473 | 0.008 | ||||||||||
Supplemental folic acid (μg per day) | |||||||||||||
Q1 (=0) | 38 080 | 88 | 1.00 | — | — | 53 | 1.00 | — | — | 35 | 1.00 | — | — |
Q2 (⩾0 to <400) | 15 767 | 26 | 0.86 | 0.56–1.34 | 0.513 | 11 | 0.63 | 0.33–1.18 | 0.148 | 14 | 1.26 | 0.68–2.35 | 0.468 |
Q3 (⩾400) | 47 853 | 72 | 0.81 | 0.59–1.11 | 0.196 | 44 | 0.75 | 0.50–1.12 | 0.155 | 27 | 0.89 | 0.53–1.47 | 0.644 |
ptrend | 0.194 | 0.153 | 0.669 |
Abbreviations: CI=confidence interval; HR=hazard ratios; PLCO=prostate, lung, colorectal, and ovarian cancer screening trial.
Adjusted by age, sex, body mass index, education level, race/ethnicity, pipe smoking status, cigar smoking status, pack-year cigarette smoking, alcohol drinking intensity, non-alcohol total energy, total vegetable and fruit intake.
We also evaluated interactions of cigarette smoking and alcohol drinking with food folate intake on HNC risk (Figures 1 and 2). We found no significant deviation from the multiplicative model between smoking, drinking, and food folate intake on HNC risk (Figure 1: pinteraction for smoking= 0.471; Figure 2: pinteraction for drinking= 0.395). In a multivariate analysis, the HR of high tobacco/low food folate intake vs no tobacco/high food folate intake was 22.09, and high alcohol/low food folate intake vs no alcohol/high food folate intake was 3.57. Additionally, we performed stratified analyses between selected confounders and food folate intake on HNC risk (Figure 3). Food folate intake did not show remarkable heterogeneity by potential confounders, including age, sex, BMI and education, on HNC risk.
Discussion
In this prospective cohort study, we found a favourable role of food folate and fortified folic acid intake in HNC development. This association was consistent across subsites of HNC, especially for laryngeal cancer cases. The favourable role of folate intake showed no deviation from a multiplicative model with smoking and drinking, and was consistent across strata of known confounders.
To date, nine case-control studies (McLaughlin et al, 1988; De Stefani et al, 1999; Negri et al, 2000; Weinstein et al, 2002; Bidoli et al, 2003; Pelucchi et al, 2003; Suzuki et al, 2007; Aune et al, 2011; Tavani et al, 2012) and one pooled analysis of case-control studies (Galeone et al, 2015) have evaluated the association between folate intake and the risk of HNC or its subsites. Only one study from the USA evaluated the impact of folate intake on the risk of oral cavity and pharyngeal cancer, including 871 cases, and reported no association (McLaughlin et al, 1988). An Uruguayan study also reported no association between folate intake and upper aerodigestive tract (UADT) cancer risk (De Stefani et al, 1999). All other studies reported a favourable effect of folate intake on the risk of HNC or its subsites. In the study for Puerto Rico (Weinstein et al, 2002), including 341 oral cavity and pharyngeal cases, a favourable role of folate from fruit was observed, but no associations were observed in other sources. Additionally, a more recent Uruguayan study (Aune et al, 2011), including 283 oral cavity and pharyngeal and 281 laryngeal cases, found an interaction of folate intake with smoking status on UADT cancer risk. Smoking induces deactivation of folate coenzymes and vitamin B12 and results in folate deficiency (Heimburger, 1992). These folate deficiency levels were also observed in buccal mucosa among smokers (Piyathilake et al, 1992). In addition, an Italian multi-centre study (Tavani et al, 2012), including 1467 oral cavity and pharyngeal and 851 laryngeal cases, reported a decreased HNC risk associated with folate intake. The OR for the highest vs the lowest of intake was 0.37 for oral cavity and pharynx, and 0.55 for larynx, with dose–response trends. In addition, the International Head and Neck Cancer Epidemiology consortium study, a large-scale pooled analysis including 5959 oral cavity and pharyngeal cases, observed that higher folate intake was associated with a decreased risk of oral cavity and pharyngeal cancer (OR: 0.65, 95%CI: 0.43–0.99 for the highest vs the lowest of quintile). This association was apparently stronger among hospital-based study than population-based study (Galeone et al, 2015). Additionally, six studies have investigated serum or plasma folate levels to compare between HNC cases and controls (Almadori et al, 2002; Raval et al, 2002; Almadori et al, 2005; Eleftheriadou et al, 2006; Gorgulu et al, 2010; Fanidi et al, 2015). They reported on a significant decreased serum or plasma folate level among HNC cases relative to controls. The European Prospective Investigation into Cancer and Nutrition (EPIC) study reported that higher levels of folate was associated with a decreased HNC risk in a dose–response manner (OR: 0.63, 95%CI: 0.35–1.16 for the highest vs the lowest of quantile) (Fanidi et al, 2015). However, this result was attenuated when cases were compared with additional unmatched controls.
Mechanisms of folate intake on HNC risk have been previously proposed. Folate deficiency contributes to the alteration of the normal methylation process and imbalance in the steady-state levels of DNA precursors, inducing aberrant DNA synthesis, stability and repair, and chromosomal changes (Lamprecht and Lipkin, 2003; Ulrich and Grady, 2010). Global and regional hypomethylation and hypermethylation within the CpG islands of specific gene promoters have been identified in HNCs (Hasegawa et al, 2002; Smith et al, 2007). In addition, this may lead to proto-oncogene activation and chromosomal instability (Smith et al, 2007). Folate-rich foods tend to have a high content of antioxidants, and consequently higher folate intake may be an indicator of a diet rich in fruit, vegetable, and a better general lifestyle pattern (Bosetti et al, 2009). However, we carefully adjusted by total fruit and vegetable intake in a multivariate analysis. In addition, we included other micronutrients, including vitamin B6, vitamin B12, vitamin C, vitamin E, and carotenoids, in multivariate analysis, and a decreased HR of food folate intake was consistent after adjustment by these factors.
Alcohol drinking induces to modification of folate level (Bailey, 1990). Alcohol drinking leads to reduced folate absorption, increased folate excretion, and inhibited methionine synthase in one-carbon metabolism (Barak et al, 1987; Mason and Choi, 2005). In this study, we detected no effect modification and interaction between alcohol and folate intake on HNC risk. We found two studies which evaluated the interaction between alcohol drinking and folate intake on HNC risk (Shanmugham et al, 2010; Matsuo et al, 2012). The Nurse’s Health Study, a prospective cohort of 87 621 women and 147 incident oral cancer cases, observed an interaction between alcohol and folate intake (P-value= 0.02). The relative risk of highest alcohol drinking and low folate intake vs never drinking and high folate intake was 3.36 (95% CI: 1.57–7.20). Since our highest tertile of alcohol drinking was relatively low, we might explain this inconsistency in this study.
We found no association with supplemental folic acid on HNC risk. A recent meta-analysis, including 13 randomised trials of folic acid supplementation and almost 50 000 individual data, reported that folic acid supplementation does not substantially increase incidence of site-specific cancer during the first 5 years of supplementation (Vollset et al, 2013). However, dietary fortification involves doses of folic acid that are an order of magnitude lower than the doses studied in these trials. In addition, our data on supplemental folic acid were only derived from recent use (current or 2 year ago). But, our findings are also consistent with a previous report on pancreatic cancer in PLCO study (Oaks et al, 2010).
Our study has several strengths. With the prospective design, the questionnaire data were collected before cancer diagnosis. Thus, we can exclude the possibility of recall bias due to cancer outcome. We carefully adjusted for known confounders associated with HNC risk, including tobacco smoking, alcohol drinking and the intake of total fruit and vegetable. In addition, we were able to evaluate several types of dietary folate intake including fortified and supplemental folic acid.
Our sample size of HNC cases was limited; thus, statistical power was not so strong particularly for subsite analysis. However, this is the largest prospective cohort study to date. The time elapsed between exposure data collection and disease incidence may lead to some underestimate of the real association. We were unable to consider possible changes in diet between interview and diagnosis. We did not have information on relevant gene variants in one-carbon metabolism and HPV infection. Since these alleles are randomly assigned at the time of gamete formation, the distribution of alleles in our cohort is unlikely to confound the protective role of folate intake on HNC development (Smith and Ebrahim, 2003). In addition, since we would not expect HPV infection to be related specifically to folate intake, HPV infection status does not meet the properties of a confounder. In any case our data set included only 18 oropharyngeal cancers which was associated with HPV infection. When we divided HNC cases into subsites, we also considered the impact of folate intake on oropharyngeal cases only. We found a similar decreased trend on oropharyngeal cases.
In summary, our findings provided evidence of the protective role of dietary folate on HNC development.
Acknowledgments
We thank the NIH PLCO study group for allowing us to use the data. This work was supported by contracts from the Division of Cancer Prevention, National Cancer Institute, NIH, DHHS under Award Number N01-CN-25524 and by the National Center for Advancing Translational Sciences of the National Institutes of Health under Award Number UL1TR001067. In addition, this work was supported by JSPS Grant-in-Aid for Young Scientists (B) to D. Kawakita (No. 15K21283), and by Italian Foundation for Cancer Research (FIRC) to C. La Vecchia.
Footnotes
This work is published under the standard license to publish agreement. After 12 months the work will become freely available and the license terms will switch to a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License.
The authors declare no conflict of interest.
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