Background: A role for folate in cancer etiology has long been suspected because of folate's function as a cofactor in DNA methylation and maintenance of DNA synthesis. Previous case–control studies examining the association between risk of childhood acute lymphoblastic leukemia (ALL) and mothers' self-reported folate intake and supplementation have been inconclusive.

Materials and Methods: We used a quantitative microbiologic assay to measure newborn folate concentrations in archived dried bloodspots collected at birth from 313 incident ALL cases, 44 incident acute myeloid leukemia (AML) cases, and 405 matched population-based controls.

Results: Overall, we found no difference in hemoglobin-normalized newborn folate concentrations (HbFol, nmol/g) between ALL cases and controls (2.76 vs. 2.77, P = 0.97) or between AML cases and controls (2.93 vs. 2.76, P = 0.32). Null results persisted after stratification by both birth period (1982–94, 1995–98, and 1999–2002) to account for the start of folate fortification of grain products in the United States, and by self-reported maternal prepregnancy supplement use. Similarly, no association was observed for major ALL subgroups.

Conclusions: Our results do not support an association between birth folate concentrations and risk of childhood AML or major ALL subgroups.

Impact: However, they do not rule out a role for folate through exposures after birth or in early stages of fetal development. Cancer Epidemiol Biomarkers Prev; 22(6); 1088–94. ©2013 AACR.

Leukemia is the most common cancer among children under 15 years of age, comprising 31% of all childhood cancers diagnosed in the United States (1). The etiology of childhood leukemia, however, is poorly understood. Because of the disease's early age of onset, prenatal and early-life exposures are thought to play a major role in leukemogenesis.

Folate is an important micronutrient involved in both maintenance of DNA replication fidelity and provision of methyl groups for epigenetic control of DNA expression. Recent epidemiologic studies have examined the role of folate in the etiology of childhood acute lymphoblastic leukemia (ALL), the most common form of childhood leukemia (2–4). Some studies of genetic susceptibility to ALL provide evidence of association for folate pathway genes in both the child (5) and the mother (6). However, no associations were reported for risk of ALL in both a recent meta-analysis of folate supplementation during pregnancy (4) and our previous study of prepregnancy maternal dietary folate intake (2), although there does seem to be limited evidence of an inverse association between risk of ALL and maternal folate supplementation before pregnancy (4). No studies have reported on the potential association of folate with childhood acute myeloid leukemia (AML), which accounts for 15% of childhood leukemia cases.

The folate measures used in previous epidemiologic studies are indirect or incomplete measures of the folate exposure experienced by the developing fetus. Exposure of the fetus is influenced by (i) the mother's intake from both dietary sources and supplements, (ii) the mother's folate transport and metabolism capacity, and (iii) the fetus's own transport and metabolism capacity. It is possible that elucidating the etiologic role of folate in childhood ALL risk will require that these factors be accounted for concomitantly. This has not been done in the previous epidemiologic studies that have examined dietary factors and genes, and may have contributed to the current lack of clarity in the literature. In addition, mandatory fortification of flour and grains over the last 2 decades in the United States (7) and elsewhere may have complicated efforts to study the potential effects of folate intake and/or supplementation on childhood leukemia risk.

To better address these concerns and directly assess the role of folate in childhood leukemia, we conducted a population-based case–control study in California examining levels of folate at birth in neonatal dried blood spot (DBS) specimens.

Study subjects and specimens

Cases of childhood ALL and AML were participants in the Northern California Childhood Leukemia Study (NCCLS), a previously described population-based case–control study (2, 8). Briefly, cases of leukemia diagnosed in participating hospitals in a defined California catchment area (17 California counties during 1995–1999 and later expanded to 35 counties during 2000–2002) were considered for inclusion. Case children were eligible for inclusion to the study if the child was under age 15 at the time of diagnosis, had an English- or Spanish-speaking parent, resided in the catchment area, and had no prior cancer diagnosis. Control children free of leukemia had to meet the same criteria as cases; controls were identified from birth certificate records maintained by the Office of Vital Records at the California Department of Public Health (CDPH) and matched to cases based on age, gender, child's Hispanic status (one or more parents reporting Hispanic ethnicity), and maternal race. The match ratio was approximately 1:1 during 1995–1999 and 1:2 during 2000–2002.

Biologic mothers of cases and controls were interviewed in person to elicit information on demographic characteristics as well as exposures, including dietary intake using the block food frequency questionnaire (FFQ; ref. 9, 10). On the basis of the preference of the respondents, interviews were conducted in English or Spanish by trained bilingual interviewers; Spanish versions of the interview included culturally appropriate translations of the English interview plus 7 additional food items important in the diets of the Spanish-speaking population (2). From the 76-item FFQ, levels of folate intake from both supplemental and dietary sources were determined and quantified in dietary folate equivalents. Dietary folate included folate from natural and fortified dietary sources. Mothers were asked to report their usual diet and use of dietary supplements in the 12 months before pregnancy. This 12-month period was used because it represents the probable state of nutritional adequacy at the time of conception and during early pregnancy (i.e., the first trimester).

Participation rates for the interview among eligible cases and controls in the NCCLS were 87% and 86%, respectively. Of interviewed cases and controls, 90.4% and 100% were California-born, reflecting the selection of controls from birth records. Of these California-born subjects, neonatal DBS specimens archived by the Genetic Disease Screening Program at the CDPH were retrieved for 94.8% of cases and 89.1% of controls. Cases and controls included in the current study were those enrolled during 1995–2002 and had available DBS specimens. This resulted in 357 case subjects (313 ALL and 44 AML) and 405 control subjects.

This study was reviewed and approved by Institutional Review Boards at University of California Berkeley (Berkeley, CA), CDPH, and at participating hospitals. Informed consent was obtained from parents of participating children.

DBS folate assays

For each subject, a sample of a DBS specimen, corresponding to approximately 10 to 12 μL of whole blood, was extracted for folate analysis by the Lactobacillus casei microbiologic growth assay (11). Hemoglobin (Hb) concentration was measured in the same DBS extract using a sodium lauryl sulfate assay (12) and results were used to calculate HbFol (folate levels normalized to Hb, nmol/g), which is independent of the blood volume or blood dilution in the DBS. This metric can be converted to red blood cell (RBC) folate (nmol/L), the measure typically used to provide clinical interpretation of folate status, by multiplying HbFol with the mean corpuscular hemoglobin concentration (MCHC) of 345 g/L. The accuracy of the whole blood folate method has been established by confirming that the major folate form 5-methyltetrahydrofolic acid was nearly completely recovered (97%) when added to whole blood (13). The long-term stability of the method has been ensured by periodic measurement of a reference standard sample (National Institute for Biological Standards and Control First International Standard for Whole Blood Folate 95/528; ref. 11). The validity of the DBS folate method has been established by comparing paired whole blood and DBS samples: good correlation (r2 = 0.85) and agreement (HbFol concentrations in DBS were on average 6% lower than in whole blood) were obtained (14). The DBS folate assay work was all conducted in the same lab by staff masked to case–control status. To ensure the quality of folate and Hb measurements, 3 quality control pools of whole blood folate (8.6%–11.6% inter-assay coefficient of variation (CV)) and Hb (3.4%–3.9% inter-assay CV) were analyzed in duplicate with each batch. To ensure the quality of the DBS extraction, 2 DBS quality control (QC) pools were analyzed in duplicate with each batch (9.5%–10.5% inter-assay CV). HbFol results for subject samples were only reported when all 3 sets of bench QC passed the predefined QC rules (15).

Statistical analysis

We compared means of log-transformed neonatal HbFol concentrations in cases with those in controls after adjusting for age, gender, race/ethnicity, year of birth, and income. We used analysis of variance methods as implemented in PROC GLM in SAS 9.2, estimating adjusted means using the LSMEANS statement and testing for significance of differences between cases and controls using t tests. Presented means and SEs were back-transformed to HbFol. For ALL, we also calculated means by major subgroups defined previously (16), including total B-cell ALL, B-cell ALL with high hyperdiploidy (>51 chromosomes), and total T-cell ALL. In addition, because of the low prevalence of most individual structural abnormalities (translocations, inversions and deletions), we examined the broad category of B-cell ALL with “any structural abnormalities,” as structural abnormalities overall may be due to decreased fidelity of DNA replication. Mixed lineage leukemias (N = 4) were excluded from subgroup analysis due to their rarity. To account for potential differences due to status of folate fortification programs in place at birth, we stratified by birth year: 1982–1994 (prefortification), 1995–1998 (fortification transition), and 1999–2002 (postfortification). For similar reasons, we also stratified by maternal prepregnancy supplement use (yes/no).

Characteristics of the 313 ALL cases, 44 AML cases, and 405 controls are presented in Table 1. As expected because of the matched design, cases and controls were comparable in terms of age, gender, and ethnicity. Control households tended to have higher income, a covariate that was adjusted for in the statistical analysis.

Table 1.

Characteristics of ALL cases, AML cases, and controls, Northern California Childhood Leukemia Study, 1995–2002

ALL casesAML casesControls
Total31344405
Age 
 Mean (SD) 5.4 (3.4) 6.1 (4.7) 5.3 (3.5) 
Sex 
 Male, N (%) 164 (52.4%) 26 (59.1%) 214 (52.8%) 
Ethnicity 
 Hispanic, N (%) 132 (42.2%) 15 (34.1%) 164 (40.5%) 
 Non-Hispanic White, N (%) 129 (41.2%) 16 (36.4%) 177 (43.7%) 
 Non-Hispanic other, N (%) 52 (16.6%) 13 (29.5%) 64 (15.8%) 
Birth year 
 1982–1994, N (%) 147 (47.0%) 24 (54.6%) 194 (47.9%) 
 1995–1998, N (%) 130 (41.5%) 10 (22.7%) 173 (42.7%) 
 1999–2002, N (%) 36 (11.5%) 10 (22.7%) 38 (9.4%) 
Annual household income 
 <$15,000, N (%) 44 (14.1%) 10 (22.7%) 35 (8.6%) 
 $15,000-$29,999, N (%) 61 (19.5%) 2 (4.5%) 60 (14.8%) 
 $30,000-$44,999, N (%) 48 (15.3%) 12 (27.3%) 51 (12.6%) 
 $45,000-$59,999, N (%) 53 (16.9%) 3 (6.8%) 57 (14.1%) 
 $60,000-$74,999, N (%) 36 (11.5%) 3 (6.8%) 55 (13.6%) 
 ≥$75,000, N (%) 71 (22.7%) 14 (31.9%) 147 (36.3%) 
ALL casesAML casesControls
Total31344405
Age 
 Mean (SD) 5.4 (3.4) 6.1 (4.7) 5.3 (3.5) 
Sex 
 Male, N (%) 164 (52.4%) 26 (59.1%) 214 (52.8%) 
Ethnicity 
 Hispanic, N (%) 132 (42.2%) 15 (34.1%) 164 (40.5%) 
 Non-Hispanic White, N (%) 129 (41.2%) 16 (36.4%) 177 (43.7%) 
 Non-Hispanic other, N (%) 52 (16.6%) 13 (29.5%) 64 (15.8%) 
Birth year 
 1982–1994, N (%) 147 (47.0%) 24 (54.6%) 194 (47.9%) 
 1995–1998, N (%) 130 (41.5%) 10 (22.7%) 173 (42.7%) 
 1999–2002, N (%) 36 (11.5%) 10 (22.7%) 38 (9.4%) 
Annual household income 
 <$15,000, N (%) 44 (14.1%) 10 (22.7%) 35 (8.6%) 
 $15,000-$29,999, N (%) 61 (19.5%) 2 (4.5%) 60 (14.8%) 
 $30,000-$44,999, N (%) 48 (15.3%) 12 (27.3%) 51 (12.6%) 
 $45,000-$59,999, N (%) 53 (16.9%) 3 (6.8%) 57 (14.1%) 
 $60,000-$74,999, N (%) 36 (11.5%) 3 (6.8%) 55 (13.6%) 
 ≥$75,000, N (%) 71 (22.7%) 14 (31.9%) 147 (36.3%) 

Tables 2 and 3 show the mean neonatal HbFol concentrations for ALL cases versus controls and AML cases versus controls, respectively, both overall and stratified by birth period and maternal use of supplements before pregnancy. Overall, there was no difference in mean HbFol concentrations between either ALL or AML cases and controls. For both ALL and AML, this absence of effect persisted through all birth periods, and among groups defined by maternal prepregnancy supplement use, although the available sample size for these stratified analyses was limited for AML. Adjustment for birth weight and gestational age did not change the results appreciably (data not shown).

Table 2.

Adjusted mean neonatal folate levels (in nmol/g of hemoglobin) in ALL cases and controls, by prepregnancy supplement use and birth period

Regardless of supplement useNo supplement use (prepregnancy)Supplement use (prepregnancy)
NaMean (SE)bPcNaMean (SE)bPcNaMean (SE)bPc
All birth periods 
 Case 313 2.76 (1.03) 0.969 224 2.62 (1.03) 0.891 87 3.10 (1.05) 0.980 
 Control 405 2.77 (1.02)  286 2.63 (1.03)  109 3.11 (1.04)  
1982–1994 
 Case 147 2.73 (1.03) 0.818 106 2.64 (1.04) 0.763 39 3.06 (1.06) 0.709 
 Control 194 2.76 (1.03)  138 2.68 (1.03)  50 3.15 (1.06)  
1995–1998 
 Case 130 3.00 (1.04) 0.320 93 2.89 (1.04) 0.713 37 3.40 (1.07) 0.309 
 Control 173 2.87 (1.03)  130 2.83 (1.04)  42 3.07 (1.07)  
1999–2002 
 Case 36 2.65 (1.07) 0.353 25 2.44 (1.10) 0.755 11 2.79 (1.09) 0.166 
 Control 38 2.90 (2.05)  18 2.56 (1.14)  17 3.27 (1.07)  
Regardless of supplement useNo supplement use (prepregnancy)Supplement use (prepregnancy)
NaMean (SE)bPcNaMean (SE)bPcNaMean (SE)bPc
All birth periods 
 Case 313 2.76 (1.03) 0.969 224 2.62 (1.03) 0.891 87 3.10 (1.05) 0.980 
 Control 405 2.77 (1.02)  286 2.63 (1.03)  109 3.11 (1.04)  
1982–1994 
 Case 147 2.73 (1.03) 0.818 106 2.64 (1.04) 0.763 39 3.06 (1.06) 0.709 
 Control 194 2.76 (1.03)  138 2.68 (1.03)  50 3.15 (1.06)  
1995–1998 
 Case 130 3.00 (1.04) 0.320 93 2.89 (1.04) 0.713 37 3.40 (1.07) 0.309 
 Control 173 2.87 (1.03)  130 2.83 (1.04)  42 3.07 (1.07)  
1999–2002 
 Case 36 2.65 (1.07) 0.353 25 2.44 (1.10) 0.755 11 2.79 (1.09) 0.166 
 Control 38 2.90 (2.05)  18 2.56 (1.14)  17 3.27 (1.07)  

aData on supplement use was missing for 2 ALL cases and 10 controls.

bMeans and SEs of HbFol in dried bloodspot specimens, adjusted for income, race/ethnicity (Hispanic, non-Hispanic White, and non-Hispanic Other), sex, age, and year of birth; back-transformed from log(HbFol).

ct test P values for pairwise differences in adjusted means.

Table 3.

Adjusted mean neonatal folate levels (in nmol/g of hemoglobin) in AML cases and controls, by prepregnancy supplement use and birth period

Regardless of supplement useNo supplement use (prepregnancy)Supplement use (prepregnancy)
NaMean (SE)bPcNaMean (SE)bPcNaMean (SE)bPc
All birth periods 
 Case 44 2.93 (1.06) 0.321 32 2.78 (1.07) 0.412 12 3.44 (1.05) 0.378 
 Control 405 2.76 (1.03)  286 2.63 (1.04)  109 3.14 (1.11)  
1982–1994 
 Case 24 2.88 (1.08) 0.444 18 2.82 (1.09) 0.505 3.59 (1.18) 0.482 
 Control 194 2.72 (1.03)  138 2.66 (1.03)  50 3.21 (1.08)  
1995–1998 
 Case 10 3.00 (1.13) 0.739 2.86 (1.19) 0.898 3.43 (1.21) 0.674 
 Control 173 2.88 (1.03)  130 2.80 (1.04)  42 3.15 (1.08)  
1999–2002 
 Case 10 3.28 (1.12) 0.542 3.04 (1.15) 0.473 5.14 (1.23) 0.064 
 Control 38 3.02 (1.06)  18 2.65 (1.12)  17 3.26 (1.05)  
Regardless of supplement useNo supplement use (prepregnancy)Supplement use (prepregnancy)
NaMean (SE)bPcNaMean (SE)bPcNaMean (SE)bPc
All birth periods 
 Case 44 2.93 (1.06) 0.321 32 2.78 (1.07) 0.412 12 3.44 (1.05) 0.378 
 Control 405 2.76 (1.03)  286 2.63 (1.04)  109 3.14 (1.11)  
1982–1994 
 Case 24 2.88 (1.08) 0.444 18 2.82 (1.09) 0.505 3.59 (1.18) 0.482 
 Control 194 2.72 (1.03)  138 2.66 (1.03)  50 3.21 (1.08)  
1995–1998 
 Case 10 3.00 (1.13) 0.739 2.86 (1.19) 0.898 3.43 (1.21) 0.674 
 Control 173 2.88 (1.03)  130 2.80 (1.04)  42 3.15 (1.08)  
1999–2002 
 Case 10 3.28 (1.12) 0.542 3.04 (1.15) 0.473 5.14 (1.23) 0.064 
 Control 38 3.02 (1.06)  18 2.65 (1.12)  17 3.26 (1.05)  

aData on supplement use was missing for 10 controls.

bMeans and standard errors of HbFol in dried bloodspot specimens, adjusted for income, race/ethnicity (Hispanic, non-Hispanic White, and non-Hispanic Other), sex, age, and year of birth; back-transformed from log(HbFol).

ct test P values for pairwise differences in adjusted means.

Table 4 presents results for the major studied ALL subgroups, specifically total B-cell ALL (n = 282 cases), B-cell high hyperdiploid ALL (n = 97 cases), B-cell ALL with structural changes (n = 136 cases), and T-cell ALL (n = 27 cases). The null effect observed for total ALL continued through all the B-cell subgroups. However, the mean HbFol concentration was significantly higher among the relatively small number of T-cell ALL cases versus controls in our study population (3.41 vs. 2.79 nmol/g, P = 0.005).

Table 4.

Adjusted mean neonatal folate levels (in nmol/g of hemoglobin) in ALL cases and controls, by ALL subtype

NMean (SE)aP
Total ALL 
 Case 313 2.76 (1.03) 0.969 
 Control 405 2.77 (1.02)  
B-cell ALL 
 Case 282 2.69 (1.03) 0.438 
 Control 405 2.75 (1.03)  
B-cell high hyperdiploid ALL 
 Case 97 2.87 (1.04) 0.534 
 Control 405 2.79 (1.03)  
B-cell structural change ALL 
 Case 136 2.71 (1.03) 0.342 
 Control 405 2.81 (1.04)  
T-cell ALL 
 Case 27 3.41 (1.07) 0.005 
 Control 405 2.79 (1.03)  
NMean (SE)aP
Total ALL 
 Case 313 2.76 (1.03) 0.969 
 Control 405 2.77 (1.02)  
B-cell ALL 
 Case 282 2.69 (1.03) 0.438 
 Control 405 2.75 (1.03)  
B-cell high hyperdiploid ALL 
 Case 97 2.87 (1.04) 0.534 
 Control 405 2.79 (1.03)  
B-cell structural change ALL 
 Case 136 2.71 (1.03) 0.342 
 Control 405 2.81 (1.04)  
T-cell ALL 
 Case 27 3.41 (1.07) 0.005 
 Control 405 2.79 (1.03)  

aMeans and SEs of HbFol in dried bloodspot specimens, adjusted for income, race/ethnicity (Hispanic, non-Hispanic White, and non-Hispanic Other), sex, age, and year of birth; back-transformed from log(HbFol).

bt test P values for pairwise differences in adjusted means.

Separately, when we compared the mean HbFol among control children in the prefortification versus postfortification eras, we found no difference (P = 0.985), indicating that folate fortification had little to no impact on neonatal folate levels.

In this study, we aimed to assess whether a child's folate concentration in neonatal DBS specimens, which we postulated was reflective of both the child's folate exposure at the end of pregnancy (via maternal diet, supplementation, and other factors) and the child's own folate metabolism, was associated with risk of childhood leukemia. We found no association of folate concentrations at birth with either total ALL or total AML. No significant differences in HbFol concentrations were observed between the controls and any of the major ALL subgroups, including total B-cell ALL, B-cell high hyperdiploid ALL, or B-cell ALL with structural abnormalities. Thus, our results indicate that folate concentrations at birth are not associated with childhood AML or major ALL subgroups. In the relatively small subgroup of T-cell ALL cases, however, we observed significantly higher folate levels than among controls. This provocative observation will need to be replicated in future studies with larger sample sizes.

Previous studies have examined self-reported maternal supplement use and/or maternal dietary folate intake in relation to childhood ALL risk (2–4, 17); whereas one found mild protective effects (17), others did not (2–4). The mixed findings of these dietary studies may be attributed to several factors, including population differences, different study settings and countries with different policies and practices regarding folate supplementation and fortification, as well as chance. A recent meta-analysis concluded that there is no effect of maternal folic acid supplementation during pregnancy on risk of childhood ALL (4). Although the results of our study indicate that folate levels at birth are not associated with risk of subsequent childhood leukemia (with the possible exception of T-cell ALL), they do not rule out a role for maternal dietary folate or folate supplementation before or during early pregnancy (preconception or periconception), or potentially after birth.

When we converted HbFol to RBC folate concentrations using the MCHC, we found that all children but one (245 nmol/L) had RBC folate concentrations above the WHO recommended low folate threshold of 340 nmol/L, regardless whether the DBS samples were collected pre- or postfortification (18). In contrast, prevalence estimates of low RBC folate among U.S. adults during prefortification ranged from 2.1% to 4.5%, whereas postfortification they were less than 1% (19). Indeed, it has been well established that newborns generally have high folate status (20), with transport of folate across the placenta being established early in pregnancy (21).

The meaning of our observation that T-cell ALL cases have slightly higher folate concentrations at birth than comparable controls is unclear. Although early high folate is typically viewed as a factor associated with either a reduced or null risk of various diseases, folate is also a possible promoter after cancer initiation due to the fast-growing cancer cell's need for folate (22), a fact that has been exploited with chemotherapeutic success for childhood leukemia and other cancers in the form of the folate poison methotrexate (23).

In our study, among cases and controls combined, we observed significant correlations of neonatal folate levels with the following surrogate folate measures: total maternal folate intake (supplements + food sources, Spearman correlation coefficient = 0.086, P = 0.017) and maternal supplemental folic acid alone (Spearman correlation coefficient = 0.153, P < 0.0001). In addition, we observed that HbFol mean concentrations tended to be higher among children whose mothers reported using prepregnancy supplements than among those whose mothers did not, an effect that was true for all birth periods. These observations provide reassurance that the HbFol concentrations measured in neonatal blood are indeed affected by self-reported maternal intake and supplementation and that these surrogate measures have some validity. The observation that the correlation coefficients were very weak, however, suggests that other factors, including maternal genes, child's genes, and other perhaps unmeasured factors modulate neonatal folate concentrations. This is an area for future study.

This study has several unique strengths. The microbiologic folate assay method used in our study is accurate; indeed the accuracy of other folate assay methods is evaluated against the microbiologic assay (24, 25). Although the DBS assay has higher imprecision than the whole blood assay, it allows the use of neonatal DBS specimens, which, to our knowledge, no other studies to date have done. This is important because of the timing of collection of these specimens: the levels of folate reported here represent the folate status of the child at the end of pregnancy, a more direct measure of the child's prediagnostic folate exposure than other surrogate measures used previously, such as maternal folate supplementation before or during pregnancy. In addition, the matched case–control design mitigates concerns regarding potential confounding by racial or ethnic differences, particularly as childhood ALL incidence rates are higher in Hispanics than non-Hispanics in California (26).

We acknowledge that by comparing each subtype of cases with the same control group, we have conducted nonindependent statistical tests, which might increase the risk of false positive associations. Nonetheless, the observations were null except for a significant finding for T-cell ALL at a relatively robust P = 0.003. This finding is based on a relatively small sample size (n = 27 cases), however, and may be due to chance. Our null findings for total AML and ALL and for major ALL subgroups, including total B-cell ALL, B-cell ALL with structural changes, and B-cell high hyperdiploid ALL, are robust. It is possible that a study that includes much larger numbers of the subtypes might observe significant differences; however, the adjusted mean estimates were not markedly different from one another. In addition, the low prevalence of folate insufficiency (RBC folate < 340 nmol/L) may have precluded observation of putative effects attributable to extremely low folate levels.

In conclusion, in this case–control study using a biomarker of folate status, we found that folate concentrations at birth were not significantly associated with childhood AML or major subgroups of childhood ALL. These null findings, taken with our observation that newborns do not have low folate status at birth, suggest that any role played by folate in childhood leukemia risk is likely to occur either very early in the pregnancy while the child is in utero (i.e., the periconceptional period), or during the postnatal period resulting from the child's own exposures after birth. Future studies should characterize the influence of maternal and child factors, including genetic factors, on neonatal folate levels, and examine the effects of postnatal exposures to folate on childhood leukemia risk.

No potential conflicts of interest were disclosed.

The findings and conclusions in this report are those of the authors and do not necessarily represent the official views or positions of the National Institutes of Health, the Centers for Disease Control and Prevention/Agency for Toxic Substances and Disease Registry, the U.S. Department of Health and Human Services, or the Children with Cancer UK Foundation.

Conception and design: A.P. Chokkalingam, J.L. Wiemels, P.A. Buffler

Development of methodology: A.P. Chokkalingam

Acquisition of data (provided animals, acquired and managed patients, provided facilities, etc.): A.P. Chokkalingam, S.R. Month, J.L. Wiemels, C. Metayer, P.A. Buffler

Analysis and interpretation of data (e.g., statistical analysis, biostatistics, computational analysis): A.P. Chokkalingam, D.S. Chun, E.J. Noonan, C.M. Pfeiffer, M. Zhang, P.A. Buffler

Writing, review, and/or revision of the manuscript: A.P. Chokkalingam, C.M. Pfeiffer, M. Zhang, S.R. Month, D.R. Taggart, J.L. Wiemels, C. Metayer, P.A. Buffler

Administrative, technical, or material support (i.e., reporting or organizing data, constructing databases): D.S. Chun, J.L. Wiemels

Study supervision: A.P. Chokkalingam, J.L. Wiemels

The authors thank clinical collaborators and participating hospitals: University of California Davis (Dr. J. Ducore), University of California San Francisco (Drs. M. Loh and K. Matthay), Children's Hospital of Central California (Dr. V. Crouse), Lucile Packard Children's Hospital (Dr. G. Dahl), Children's Hospital Oakland (Dr. J. Feusner), Kaiser Permanente Roseville (Drs. K. Jolly and V. Kiley), Kaiser Permanente Santa Clara (Drs. A. Wong, C. Russo, and D. Taggart), Kaiser Permanente San Francisco (Dr. K. Leung), and Kaiser Permanente Oakland (Drs. D. Kronish and S. Month). The authors also thank the entire NCCLS staff and the UC Berkeley Survey Research Center for their effort and dedication, Daniel J Rabinowitz for technical assistance on the folate analysis of dried blood spots, John Nides for editorial assistance, and the families who participated in the NCCLS for their strong support, without which this research could not have been conducted.

This work was supported from the National Institute for Environmental Health Sciences (PS42ES04705 and R01ES09137) and the Children with Cancer UK Foundation (2008/081).

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.

1.
Linet
MS
,
Ries
LA
,
Smith
MA
,
Tarone
RE
,
Devesa
SS
. 
Cancer surveillance series: recent trends in childhood cancer incidence and mortality in the United States
.
J Natl Cancer Inst
1999
;
91
:
1051
8
.
2.
Kwan
ML
,
Jensen
CD
,
Block
G
,
Hudes
ML
,
Chu
LW
,
Buffler
PA
. 
Maternal diet and risk of childhood acute lymphoblastic leukemia
.
Public Health Rep
2009
;
124
:
503
14
.
3.
Dockerty
JD
,
Herbison
P
,
Skegg
DC
,
Elwood
M
. 
Vitamin and mineral supplements in pregnancy and the risk of childhood acute lymphoblastic leukaemia: a case-control study
.
BMC Public Health
2007
;
7
:
136
.
4.
Milne
E
,
Royle
JA
,
Miller
M
,
Bower
C
,
de Klerk
NH
,
Bailey
HD
, et al
Maternal folate and other vitamin supplementation during pregnancy and risk of acute lymphoblastic leukemia in the offspring
.
Int J Cancer
2010
;
126
:
2690
9
.
5.
Yan
J
,
Yin
M
,
Dreyer
ZE
,
Scheurer
ME
,
Kamdar
K
,
Wei
Q
, et al
A meta-analysis of MTHFR C677T and A1298C polymorphisms and risk of acute lymphoblastic leukemia in children
.
Pediatr Blood Cancer
2012
;
58
:
513
8
.
6.
Lightfoot
TJ
,
Johnston
WT
,
Painter
D
,
Simpson
J
,
Roman
E
,
Skibola
CF
, et al
Genetic variation in the folate metabolic pathway and risk of childhood leukemia
.
Blood
2010
;
115
:
3923
9
.
7.
Obican
SG
,
Finnell
RH
,
Mills
JL
,
Shaw
GM
,
Scialli
AR
. 
Folic acid in early pregnancy: a public health success story
.
FASEB J
2010
;
24
:
4167
74
.
8.
Ma
X
,
Buffler
PA
,
Layefsky
M
,
Does
MB
,
Reynolds
P
. 
Control selection strategies in case-control studies of childhood diseases
.
Am J Epidemiol
2004
;
159
:
915
21
.
9.
Block
G
,
Hartman
AM
,
Dresser
CM
,
Carroll
MD
,
Gannon
J
,
Gardner
L
. 
A data-based approach to diet questionnaire design and testing
.
Am J Epidemiol
1986
;
124
:
453
69
.
10.
Block
G
,
Hartman
AM
,
Naughton
D
. 
A reduced dietary questionnaire: development and validation
.
Epidemiology
1990
;
1
:
58
64
.
11.
Pfeiffer
CM
,
Zhang
M
,
Lacher
DA
,
Molloy
AM
,
Tamura
T
,
Yetley
EA
, et al
Comparison of serum and red blood cell folate microbiologic assays for national population surveys
.
J Nutr
2011
;
141
:
1402
9
.
12.
O'Broin
SD
,
Gunter
EW
. 
Screening of folate status with use of dried blood spots on filter paper
.
Am J Clin Nutr
1999
;
70
:
359
67
.
13.
Fazili
Z
,
Pfeiffer
CM
,
Zhang
M
,
Jain
RB
,
Koontz
D
. 
Influence of 5,10-methylenetetrahydrofolate reductase polymorphism on whole-blood folate concentrations measured by LC-MS/MS, microbiologic assay, and bio-rad radioassay
.
Clin Chem
2008
;
54
:
197
201
.
14.
Rabinowitz
DJ
,
Zhang
M
,
Paladugula
N
,
LaVoie
DJ
,
Pfeiffer
CM
. 
A fresh look at the folate microbiological assay, including dried blood spots and preanalytical conditions for whole blood samples
.
American Association for Clinical Chemistry Annual Meeting
;
2009; Chicago, IL
.
15.
Caudill
SP
,
Schleicher
RL
,
Pirkle
JL
. 
Multi-rule quality control for the age-related eye disease study
.
Stat Med
2008
;
27
:
4094
106
.
16.
Aldrich
MC
,
Zhang
L
,
Wiemels
JL
,
Ma
X
,
Loh
ML
,
Metayer
C
, et al
Cytogenetics of Hispanic and White children with acute lymphoblastic leukemia in California
.
Cancer Epidemiol Biomarkers Prev
2006
;
15
:
578
81
.
17.
Thompson
JR
,
Gerald
PF
,
Willoughby
ML
,
Armstrong
BK
. 
Maternal folate supplementation in pregnancy and protection against acute lymphoblastic leukaemia in childhood: a case-control study
.
Lancet
2001
;
358
:
1935
40
.
18.
de Benoist
B
. 
Conclusions of a WHO Technical Consultation on folate and vitamin B12 deficiencies
.
Food Nutr Bull
2008
;
29
:
S238
44
.
19.
Pfeiffer
CM
,
Hughes
JP
,
Lacher
DA
,
Bailey
RL
,
Berry
RJ
,
Zhang
M
, et al
Estimation of trends in serum and RBC folate in the U.S. population from pre- to postfortification using assay-adjusted data from the NHANES 1988–2010
.
J Nutr
2012
;
142
:
886
93
.
20.
Matoth
Y
,
Pinkas
A
,
Zamir
R
,
Mooallem
F
,
Grossowicz
N
. 
Studies on folic acid in infancy
.
Pediatrics
1964
;
33
:
507
11
.
21.
Solanky
N
,
Requena Jimenez
A
,
D'Souza
SW
,
Sibley
CP
,
Glazier
JD
. 
Expression of folate transporters in human placenta and implications for homocysteine metabolism
.
Placenta
2010
;
31
:
134
43
.
22.
Kim
YI
. 
Folic acid fortification and supplementation–good for some but not so good for others
.
Nutr Rev
2007
;
65
:
504
11
.
23.
Meyer
LM
,
Miller
FR
,
Rowen
MJ
,
Bock
G
,
Rutzky
J
. 
Treatment of acute leukemia with amethopterin (4-amino, 10-methyl pteroyl glutamic acid)
.
Acta Haematol
1950
;
4
:
157
67
.
24.
Yetley
EA
,
Coates
PM
,
Johnson
CL
. 
Overview of a roundtable on NHANES monitoring of biomarkers of folate and vitamin B-12 status: measurement procedure issues
.
Am J Clin Nutr
2011
;
94
:
297S
302S
.
25.
Shane
B
. 
Folate status assessment history: implications for measurement of biomarkers in NHANES
.
Am J Clin Nutr
2011
;
94
:
337S
42S
.
26.
Campleman
SL
,
Wright
WE
. 
Childhood cancer in California 1988 to 1999 Volume I: birth to age 14
.
Sacramento,(CA)
:
California Department of Health Services, Cancer Surveillance Section
; 
2004
.