Abstract
Background
Studies have reported increased risks of pediatric acute lymphoblastic leukemia (ALL) among children born by cesarean delivery (CD). However, no previous study has examined the impact of CD on risk of infant leukemia specifically.
Methods
443 infants diagnosed with acute leukemia, including both ALL and acute myeloid leukemia (AML), were identified at Children’s Oncology Group institutions between January 1996 and December 2006. 324 controls frequency matched by year of birth were identified though random digit dialing and random selection from US birth registries. Using interview data and, for a subset of participants, medical record data, we analyzed CD overall and by indications that likely resulted in pre-labor CD (PLCD) or emergency CD (ECD). Odds ratios (OR) and 95% confidence intervals (CI) for risk of ALL and AML were estimated using multivariable unconditional logistic regression models, adjusted for year of birth, birth weight, and maternal race.
Results
We observed an increased point estimate for the association between CD and ALL (OR and CI: 1.52 [1.02, 2.25]). We did not observe an association between CD and AML (OR and CI: 1.02 [0.64, 1.62]). In analyses of indication for CD, we observed elevated effect estimates for the associations of both PLCD and ECD and infant ALL.
Conclusions
Our analysis suggests an increased risk of infant ALL following CD, including both PLCD and ECD. Altered microbiota colonization may be involved in development of leukemia in infants, but clear biological mechanisms have yet to be determined.
Impact
This study provides the first in-depth examination of CD and infant leukemia.
Keywords: childhood cancer, infant leukemia, acute lymphoblastic leukemia, cesarean delivery, epidemiology
INTRODUCTION
Leukemia that occurs in infancy (< 12 months of age) is a rare disease and its etiology is poorly understood. In contrast with leukemia diagnosed in older children, infants with leukemia have a nearly equal distribution of acute lymphoblastic (ALL) to acute myeloid leukemia (AML) diagnosis (1) and have a high frequency of somatic MLL gene rearrangements, present in 50-80% of infant ALL and 34-50% of infant AML (2–4). There is strong evidence that infant leukemia is initiated in utero (5) and events during pregnancy and childbirth may impact disease development.
In recent years, several studies have suggested that birth by cesarean delivery (CD) impacts both short- and long-term outcomes for the neonate (6), including development of the immune system (7). CD may impede normal immune development through altered colonization of the microbiome or lack of a stress response during labor and delivery, and these effects may differ according to whether CD occurred prior to the onset of labor (7).
Meta-analyses have reported associations between birth by CD and subsequent risk of immune-related disorders, including asthma (8) and type 1 diabetes mellitus (9). Furthermore, several recent studies have reported an association between CD and childhood leukemia overall (10–14). One of these, a pooled analysis(10) from the Childhood Leukemia International Consortium(15), reported an association between pre-labor CD (PLCD) and ALL among children age 0-14 (OR and 95% CI: 1.23 [1.04, 1.47]). Within analyses stratified by age at diagnosis, a strong estimated effect between PLCD and infant leukemia was observed, although this result was based on very few exposed cases and controls and did not achieve statistical significance (OR and 95% CI: 2.62 [0.96, 7.19]). An association between CD and infant leukemia has not been established, and many previous studies have not examined infants separately or may be underpowered to detect a modest association.
To examine this potential association more closely, we carried out an analysis of CD and infant leukemia using data from a population-based case-control study.
MATERIALS AND METHODS
Study population
This analysis was carried out using data from the Children’s Oncology Group (COG) AE24 study. This study was conducted in accordance with the US Common Rule. Institutional Review Boards at the University of Minnesota and each case’s COG institution approved the study protocol. We obtained written informed consent from participating mothers. Infants diagnosed with acute leukemia, including both ALL and acute myeloid leukemia (AML), at less than 1 year of age were identified at COG institutions in two phases: between 1 January 1996 and 13 October 2002 (Phase I) and between 1 January 2003 and 31 December 2006 (Phase II). Cases were eligible if they did not have Down syndrome, if their biological mother was available for a telephone interview in English or Spanish, and if they were diagnosed and treated at a participating COG institution in the US or Canada.
During Phase I, controls were selected from the US and Canada using a random digit dialing procedure and were frequency matched to cases by year of birth. Phase II controls were randomly selected from 15 US state birth registries and were frequency matched to cases on year of birth and region of residence based on the geographical and annual birth distribution of Phase I cases. Controls were eligible if they did not have Down syndrome and had a biological mother who was available for a telephone interview in English or Spanish.
Data collection
Mothers of cases and controls completed a structured, computer-assisted telephone interview. Interview questions included items on demographics, reproductive history, family history of disease, and exposures during pregnancy with the index child. Pathology and cytogenetic reports from diagnosis were acquired for cases, and MLL gene rearrangement status (MLL+, MLL-, indeterminate) was ascertained through central review by three independent reviewers who specialize in MLL rearrangements and cytogenetics.
Data on labor and delivery, including birth characteristics, mode of birth, and, where applicable, indication for CD were collected in the interview. For Phase I cases and controls, we also requested consent to obtain all medical records beginning six months prior to conception of the index child until one week after the birth or discharge from hospital (whichever occurred later). Records were requested from all providers seen during pregnancy and delivery. Data were abstracted by trained nurse abstractors and included indication for CD, presence/absence of labor, labor onset time, and delivery time.
From interview data, we classified CD as pre-labor (PLCD), emergency (ECD), or indeterminate based on the indication provided. We considered the following indications as likely to have resulted in a scheduled pre-labor delivery: baby was due or overdue; placenta previa; congestive heart failure in mother; breech presentation; multiple gestation; multiple gestation with malpresentation of one fetus or more; heart-shaped uterus; previous CD; mother developed illness; and issues of convenience. We considered the following indications as likely to have resulted in an emergency delivery: labor was slow or stopped, long labor, or didn’t dilate; baby was sick or in danger, fetal distress, intrauterine growth retardation, placenta not viable; baby’s heart rate dropped; cord around baby’s neck; cord complications (cord prolapse, cord wrapped around wrists or ankles); and cephalopelvic disproportion. All other indications were considered indeterminate.
Within the subset of subjects for whom we had medical record data available, we used presence or absence of labor, as recorded in the labor/delivery medical record, to determine whether a CD was pre-labor or emergency. If a CD occurred after the onset of labor, it was considered an ECD. Otherwise, if the CD occurred prior to onset of labor, we classified it as PLCD. Finally, for all mothers who experienced some labor prior to the birth, whether the ultimate delivery method was vaginal or cesarean, we used data on labor onset time and delivery time abstracted from medical records to calculate duration of labor. We created a categorical variable for length of labor (0 to <3 hours, 3 to <6 hours, 6 to <10 hours, ≥10 hours).
Statistical analysis
We used unconditional logistic regression (SAS version 9.4, SAS Institute, Cary, NC, USA) to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association of infant leukemia with CD due to all indications, PLCD, and ECD. We first evaluated PLCD and ECD as classified according to interview data only, then separately examined the associations for PLCD and ECD with infant leukemia among the Phase I participants with medical record data available. We did not collect medical records from Phase II participants and therefore these participants are excluded from all analyses based on medical record data. Covariates selected a priori for inclusion based on established associations with childhood cancers included infant sex, birth weight, gestational age, plurality, maternal age, maternal education, maternal race, household income, maternal smoking, and maternal alcohol consumption. Variables were retained in the final multivariate models if they changed the ln(OR) estimate substantially (e.g., ≥10%). Final models included maternal race (Black, White, Hispanic, other), birth weight as a continuous variable, and the matching variable, year of birth. Additionally, we stratified by leukemia subtype (ALL and AML), and by MLL status (MLL+, MLL-, indeterminate). Finally, we estimated the impact of length of labor on risk of infant leukemia overall, ALL, and AML.
For the subset of participants with both interview and medical records data, we estimated sensitivity and specificity of our classification of PLCD and ECD from interview data using medical record data as the gold standard.
Infants diagnosed with leukemia at very young ages may have compromised health at birth, which may confer an increased risk of fetal distress and other indications for birth by CD. In order to assess the possibility of reverse causation in our data, we conducted sensitivity analyses excluding infants diagnosed at < 3 months of age.
RESULTS
Interviews were completed for 443 (64%) eligible cases (264 ALL, 172 AML, 7 other) and 324 (47%) eligible controls. Participation rates and reasons for non-participation have been published elsewhere (16–18). Sex, birth weight, gestational age, and plurality were all similar between cases and controls. Mothers of cases were more likely to have completed less than a high school education (33.7% of case mothers compared to 28.2% of control mothers). Mothers of cases were also more likely to be Hispanic and less likely to be Caucasian than mothers of controls (Table 1).
Table 1.
Controls N (%) |
Cases N (%) |
|
---|---|---|
Infant characteristics | ||
Sex | ||
Male | 156 (48.2) | 218 (49.2) |
Female | 168 (51.9) | 225 (50.8) |
Birth Weight (%) | ||
< 2,500 g | 17 (5.3) | 23 (5.2) |
2,500 – 4,000 g | 258 (79.6) | 351 (79.2) |
> 4,000 g | 49 (15.1) | 69 (15.6) |
Missing | 0 | 0 |
Plurality (%) | ||
Singleton | 319 (98.5) | 436 (98.4) |
Multiple | 5 (1.5) | 7 (1.6) |
Gestational Age | ||
< 38 weeks | 35 (10.8) | 55 (12.4) |
38 – 42 weeks | 288 (88.9) | 387 (87.4) |
> 42 weeks | 1 (0.3) | 1 (0.2) |
Missing | 0 | 0 |
Mode of birth | ||
Vaginal | 251 (77.7) | 316 (71.5) |
Cesarean | 72 (22.3) | 126 (28.5) |
Missing | 1 | 1 |
Method of feeding | ||
Breastfed only | 59 (18.6) | 121 (29.0) |
Breastfed and formula | 179 (56.5) | 194 (46.4) |
Formula only | 79 (24.9) | 103 (24.6) |
Missing | 7 | 25 |
Maternal characteristics | ||
Age (%) | ||
< 35 years | 265 (82.0) | 372 (84.2) |
≥ 35 years | 58 (18.0) | 70 (15.8) |
Missing | 1 | 1 |
Educational Attainment | ||
< High school graduate | 91 (28.2) | 149 (33.7) |
Some post-high school | 112 (34.7) | 125 (28.3) |
College graduate | 120 (37.2) | 168 (38.0) |
Missing | 1 | 1 |
Race (%) | ||
White | 273 (84.5) | 334 (75.6) |
Black | 18 (5.6) | 18 (4.1) |
Hispanic | 15 (4.6) | 55 (12.4) |
Other | 17 (5.3) | 35 (7.9) |
Missing | 1 | 1 |
Household income | ||
≤ $30,000 | 95 (29.6) | 157 (35.8) |
$30,000 – 75,000 | 145 (45.2) | 189 (43.1) |
> $75,000 | 81 (25.2) | 93 (21.2) |
Missing | 3 | 4 |
Cesarean delivery due to any indication was associated with an elevated estimated effect for risk of infant ALL (OR and 95% CI: 1.52 [1.02, 2.25]). We did not note an association between CD and infant AML (OR and 95% CI: 1.02 [0.64, 1.62]). When we classified PLCD and ECD using interview data, birth by ECD was associated with a 2-fold increased risk of infant ALL. The point estimate for the association between PLCD and infant ALL was elevated, although not statistically significant. We did not observe an association between either PLCD or ECD and infant AML (Table 2).
Table 2.
Controls | Combined cases | ALL | AML | |||||||
---|---|---|---|---|---|---|---|---|---|---|
N (%) | N (%) | ORa | 95% CI | N (%) | ORa | 95% CI | N (%) | ORa | 95% CI | |
Method of Delivery: Interview Datab | ||||||||||
Cesarean | 72 (22) | 124 (29) | 1.29 | 0.90, 1.84 | 80 (30) | 1.52 | 1.02, 2.25 | 44 (26) | 1.02 | 0.64, 1.62 |
Pre-labor cesarean | 29 | 52 | 1.22 | 0.73, 2.05 | 33 | 1.41 | 0.80, 2.51 | 19 | 0.99 | 0.51, 1.93 |
Emergency cesarean | 25 | 45 | 1.63 | 0.95, 2.81 | 31 | 1.99 | 1.10, 3.59 | 14 | 1.16 | 0.56, 2.39 |
Vaginal | 251 (78) | 311 (71) | Ref | 183 (70) | Ref | 128 (74) | Ref | |||
Method of Delivery: Medical Record Datab | ||||||||||
Cesarean | 43 (17) | 60 (25) | 1.50 | 0.95, 2.38 | 43 (30) | 1.89 | 1.14, 3.15 | 17 (19) | 1.00 | 0.52, 1.91 |
Pre-labor cesarean | 19 | 27 | 1.50 | 0.78, 2.87 | 20 | 2.04 | 1.00, 4.15 | 7 | 0.74 | 0.28, 2.00 |
Emergency cesarean | 24 | 33 | 1.53 | 0.85, 2.75 | 23 | 1.80 | 0.93, 3.51 | 10 | 1.21 | 0.54, 2.71 |
Vaginal | 203 (83) | 176 (75) | Ref | 102 (70) | Ref | 74 (81) | Ref |
OR: Odds ratio; 95% CI: 95% confidence interval; ALL: acute lymphoblastic leukemia; AML: acute myeloid leukemia
Adjusted for maternal race (white, black, Hispanic, and other), birth weight as a continuous variable, and the matching variable: year of birth
Analyses based on interview data (top panel) include data from all ALL and AML cases (n=435) and controls (n=323) with information on mode of birth; analyses based on medical record data (bottom panel) include data from only Phase I ALL and AML cases (n=236) and controls (n=246)
Using data from medical records to classify type of CD, both PLCD and ECD were associated with an increased risk of infant ALL (OR and 95% for PLCD: 2.04 [1.00, 4.15]; OR and 95% CI for ECD: 1.80 [0.93, 3.51]). Neither PLCD nor ECD was associated with infant AML (Table 2).
When we estimated the association between length of labor and infant leukemia, we did not find statistically significant associations between precipitous labor (< 3 hours) or long labor (>10 hours) and infant leukemia overall, ALL, or AML (Table 3).
Table 3.
Controls | MLL-positive | MLL-negative | |||||
---|---|---|---|---|---|---|---|
N (%) | N (%)b | ORa | 95% CI | N (%)b | ORa | 95% CI | |
Method of Delivery | |||||||
Cesarean | 63 (20) | 53 (24) | 1.33 | 0.84, 2.10 | 31 (22) | 1.04 | 0.63, 1.74 |
Pre-labor cesarean | 33 | 28 | 1.19 | 0.66, 2.16 | 18 | 0.97 | 0.50, 1.89 |
Emergency cesarean | 30 | 25 | 1.52 | 0.82, 2.82 | 13 | 1.13 | 0.55, 2.29 |
Vaginal | 251 (80) | 165 (76) | Ref | 110 (78) | Ref |
OR: Odds ratio; 95% CI: 95% confidence interval; ALL: acute lymphoblastic leukemia; AML: acute myeloid leukemia
Adjusted for maternal race (white, black, Hispanic, and other), birth weight as a continuous variable, and the matching variable: year of birth
All cases with data on MLL status were included (n=218 MLL+; n=141 MLL-); cases with indeterminant MLL status (n=69) were excluded
Analyses stratified by MLL rearrangement status revealed no association between CD and MLL− leukemia. Odds ratios for the association between CD and MLL+ leukemia were slightly elevated but not statistically significant (Table 4).
Table 4.
Controls | Combined cases | ALL | AML | |||||||
---|---|---|---|---|---|---|---|---|---|---|
N (%)b | N (%)b | ORa | 95% CI | N (%)b | ORa | 95% CI | N (%)b | ORa | 95% CI | |
Duration of Labor in categories | ||||||||||
0 – 3 hours | 42 (21) | 48 (22) | 0.96 | 0.50, 1.84 | 31 (24) | 1.14 | 0.53, 2.44 | 17 (20) | 0.73 | 0.31, 1.69 |
> 3 – 6 hours | 53 (26) | 44 (20) | 0.89 | 0.49, 1.60 | 27 (21) | 1.05 | 0.52, 2.12 | 17 (20) | 0.67 | 0.31, 1.44 |
> 6 – 10 hours | 44 (22) | 45 (21) | Ref | 23 (18) | Ref | 22 (26) | Ref | |||
> 10 hours | 62 (31) | 78 (36) | 1.25 | 0.72, 2.17 | 49 (38) | 1.46 | 0.76, 2.80 | 29 (34) | 0.99 | 0.49, 2.01 |
OR: Odds ratio; 95% CI: 95% confidence interval; ALL: acute lymphoblastic leukemia; AML: acute myeloid leukemia
Adjusted for maternal race (white, black, Hispanic, and other), birth weight as a continuous variable, mode of birth (vaginal or C-section), and the matching variable: year of birth
Duration of labor analyses include data from Phase I cases (n=215) and controls (n=201) who had medical records available and for whom we were able to abstract labor onset time and time of birth
When we assessed the accuracy of our categorization of PLCD and ECD from interview data, using medical record data as the gold standard, we found that the sensitivity and specificity for PLCD were 81% (95% CI: 64%, 98%) and 89% (95% CI: 77%, 100%), respectively. The sensitivity and specificity for ECD were 86% (95% CI: 73%, 99%) and 85% (95% CI: 69%, 100%), respectively.
We conducted sensitivity analyses excluding infants diagnosed at < 3 months of age since these infants may have compromised health at birth, which may confer an increased risk of fetal distress and other indications for birth by CD. These analyses did not alter our results for the associations between infant leukemia and CD, PLCD, or ECD, and the associations between CD and infant ALL remained statistically significant (Supplementary Table 1).
DISCUSSION
We observed an elevated risk of infant leukemia, specifically infant ALL, following CD. We did not observe a difference in risk according to whether the delivery was PLCD or ECD.
Although there is a growing body of literature on health outcomes following birth by CD, including childhood leukemia, few previous studies have examined the impact of CD on infant leukemia specifically. A large pooled analysis reported an elevated risk estimate for infant leukemia following PLCD (OR and 95% CI 2.62 [0.96, 7.19]), however this result was based on few exposed cases and controls (10). A registry-based study of CD and childhood leukemia did not observe an association between leukemia diagnosed at age < 2 years and CD overall; however, among the subset of cases and controls with data on whether a birth was PLCD or ECD, the authors reported a modestly increased effect estimate for risk of leukemia diagnosed at age < 2 years after both PLCD and ECD (11). Our findings suggest that birth by CD overall is associated with elevated risk of infant leukemia, although we did not observe a difference in our results according to whether the delivery was PLCD or ECD. This is in contrast with previous studies of leukemia in older children which suggest birth by PLCD, but not ECD, is associated with increased risk of leukemia.
Two distinct mechanisms have been proposed to explain the association between birth by CD and adverse health outcomes. The first involves the stress response which labor and delivery elicit in the fetus. Concentrations of both catecholamine and cortisol are increased by a factor of 1.5-3x in neonates born by vaginal delivery compared to those born by CD before the onset of labor(19,20). In contrast, neonates born by emergency CD exhibit postpartum cortisol levels similar to those observed in neonates born by vaginal delivery(21). Increased cortisol levels in the neonate activate the hypothalamic-pituitary-adrenal (HPA) axis, which has a negative feedback relationship with immune and inflammatory reactions (22). The role of the HPA axis and increased cortisol levels in reducing risk of ALL was previously hypothesized by Schmiegelow et al. (23) as part of the adrenal hypothesis of childhood leukemia etiology. This hypothesis suggests that increased cortisol levels in early life mimic the anti-leukemic effects of glucocorticosteroids, which are used in treatment of childhood leukemia, including in infants. Furthermore, increased cortisol may suppress the Th1-mediated pro-inflammatory response to infections by promoting production of anti-inflammatory Th2 cytokines, including IL-4 and IL-10 (23). This impact on the Th1/Th2 balance may decrease the proliferative stress on extant preleukemic cells. Therefore, it is possible that exposure to elevated cortisol levels during labor and delivery plays a role in mitigating ALL risk for infants harboring preleukemic cells that have arisen in utero. Children born by vaginal delivery and ECD are generally exposed to comparable cortisol levels during labor and delivery, whereas children born by PLCD exhibit significantly reduced cortisol levels at birth (20,21). We did not observe differences in our results based on whether births were PLCD or ECD. The chemosensitivity of infant leukemia cells to corticosteroids, and therefore cortisol, may depend on subtype. In vitro studies have demonstrated that MLL+ ALL cells have enhanced chemoresistance to corticosteroids, whereas MLL+ AML cells do not demonstrate a chemoresistant phenotype (24–26). We did not have sufficient power to examine MLL+ ALL and AML separately, and our results stratified by MLL rearrangement status suggested that infants born by CD may have elevated risk of MLL+ leukemia, but this analysis was underpowered to achieve statistical significance. We examined duration of labor as another potential intrapartum exposure relevant to infant leukemia risk. We did not observe statistically significant associations between length of labor and infant ALL or AML. Furthermore, previous studies have indicated that duration of labor may not correlate with umbilical cord blood cortisol concentrations (20,21).
A second potential mechanism is differential microbiota colonization following birth by CD as compared to vaginal delivery. Growing evidence suggests a significant role of the gut microbiome broadly in human health, and immune system development, in particular(27). Studies of germ-free mice show compromised development of the mucosal immune system and reduced numbers of both IgA-producing plasma cells and IgG in germ-free mice compared to animals of the same strain that are free of only specific pathogens (28,29). These mice also exhibit abnormalities of the spleen and lymph nodes, including modified structure and poorly formed B- and T-cell zones (30). Intestinal microbiota influence early postnatal immune development through interactions with intestinal Toll-like receptors and production of suppressive cytokines, transforming growth factor-β (TGF-β), and IL-10, which play a critical role in producing a balanced Th1 and Th2 immune response (31,32). Microbiota colonization occurs during the first moments of life, and mode of birth has been shown to alter both composition (33) and diversity (34) of intestinal microbiota in humans. These differences persist through the first six to twelve months of life(35), a critical period for immune development. Furthermore, studies have suggested that differential microbiota colonization may impact risk of autoimmune disorders (36), chronic diseases (37), infection (38), and many types of adult cancer (39).
Additionally, CD may alter constitution of the microbiome through altered breastfeeding practices. Infants born by vaginal delivery are breastfed earlier and are more likely to be breastfed than those born by CD (40). Breastmilk contains diverse microbes from the mother’s gut and plays a crucial role in early microbiota colonization (41). We did not adjust for breastfeeding in these analyses since establishment of breastfeeding may be dependent on the overall health of the infant (42), which may be compromised in infants diagnosed with leukemia shortly after birth. Thus, in this population, an inverse association between breastfeeding and infant leukemia may be present due to reverse causation.
Incidence rates of CD have increased sharply over the last several decades, both in the US and worldwide (43). The World Health Organization recommends that no more than 15% of births should occur by CD (44); however most developed regions have CD rates well above that number, with some as high as 40% (45). The risks of CD without medical indication have been well documented, and include both short- and long-term effects on the offspring. These include impaired lung function, altered metabolism and blood pressure during infancy, as well as risk of obesity and both hepatic- and immune-related conditions during childhood and adulthood (6). Rates of infant leukemia have also risen during this time, and the causes of this increase are unknown.
There are some limitations to this study. Since this study is case-control in design, it is possible that the control group is not representative of the source population of cases with respect to exposure distribution. Given that this study relied on active participation, we had a 69% participation rate among cases and 67% among controls (18). It is possible that selection bias is present in our dataset. However, the cesarean delivery rates noted in controls show the expected frequency and trend based on national US rates for the birth years represented. We also cannot preclude the possibility that the observed associations are due to confounding by indication or other unmeasured confounding factors. It is possible that some maternal or fetal pathology that increases risk of CD also predisposes the infant to leukemia. We did not have sufficient statistical power to assess the possibility of confounding by indication. However we observed an association among ALL cases only and it is unlikely that any confounding factors would differ by type of leukemia. Within analyses based on questionnaire data, we categorized PLCD and ECD based on the indication for CD, as recorded in the interview. It is possible that some of these births were misclassified. However, when we assessed the accuracy of our categorization of PLCD and ECD from interview data, using medical record data as the gold standard, we found very good sensitivity and specificity for both PLCD and ECD classifications. Furthermore, we expect that any misclassification would be nondifferential and therefore would bias our results toward the null. We have offered plausible biological mechanisms that could explain the association if it is indeed causal. This study is the largest population-based case-control study conducted on infant leukemia to date. Additional strengths of this analysis include the availability of detailed medical record data for a portion of our participants to confirm PLCD and ECD classification and assess duration of labor. Furthermore, we expect that our main exposure variable, mode of birth, is recalled with nearly 100% accuracy, as supported by a validation of self-report versus medical record in our study population (46).
We observed an association between CD and risk of infant ALL. Future larger studies with detailed information on molecular subtype, including MLL rearrangement status, and indication for CD will be important to further examine this association with enhanced statistical power. Because our results were consistent across classifications of PLCD or ECD, this suggests that altered microbiota colonization may play a role in development of leukemia in infants, but a clear biological mechanism has yet to be determined.
Supplementary Material
Acknowledgments
This work was supported by the Children’s Oncology Group and the National Institutes of Health Grants R01 CA79940 (J.A. Ross), U10 CA13539 (W.A. Bleyer), U10 CA98543 (P.C. Adamson), U10 CA180886 (P.C. Adamson) and the Children’s Cancer Research Fund (J.A. Ross), Minneapolis, MN.
Abbreviations
- ALL
acute lymphoblastic leukemia
- AML
acute myeloid leukemia
- CD
cesarean delivery
- CI
confidence interval
- COG
Children’s Oncology Group
- ECD
emergency cesarean delivery
- OR
odds ratio
- PLCD
pre-labor cesarean delivery
Footnotes
The authors declare no potential conflicts of interest.
References
- 1.Howlader N, Noone AM, Krapcho M, Miller D, Bishop K, Altekruse SF, et al. SEER Cancer Statistics Review, 1975–2013, National Cancer Institute. National Cancer Institute. 2016 2016 December 11. < https://seer.cancer.gov/csr/1975_2013/>. Accessed 2016 December 11, 2016.
- 2.Greaves M. Childhood leukaemia. BMJ. 2002;324(7332):283–7. doi: 10.1136/bmj.324.7332.283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Greaves MF, Wiemels J. Origins of chromosome translocations in childhood leukaemia. Nat Rev Cancer. 2003;3(9):639–49. doi: 10.1038/nrc1164. [DOI] [PubMed] [Google Scholar]
- 4.Felix CA, Lange BJ. Leukemia in infants. Oncologist. 1999;4(3):225–40. [PubMed] [Google Scholar]
- 5.Greaves MF, Maia AT, Wiemels JL, Ford AM. Leukemia in twins: lessons in natural history. Blood. 2003;102(7):2321–33. doi: 10.1182/blood-2002-12-3817. [DOI] [PubMed] [Google Scholar]
- 6.Hyde MJ, Mostyn A, Modi N, Kemp PR. The health implications of birth by Caesarean section. Biological reviews of the Cambridge Philosophical Society. 2012;87(1):229–43. doi: 10.1111/j.1469-185X.2011.00195.x. [DOI] [PubMed] [Google Scholar]
- 7.Cho CE, Norman M. Cesarean section and development of the immune system in the offspring. American journal of obstetrics and gynecology. 2013;208(4):249–54. doi: 10.1016/j.ajog.2012.08.009. [DOI] [PubMed] [Google Scholar]
- 8.Thavagnanam S, Fleming J, Bromley A, Shields MD, Cardwell CR. A meta-analysis of the association between Caesarean section and childhood asthma. Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology. 2008;38(4):629–33. doi: 10.1111/j.1365-2222.2007.02780.x. [DOI] [PubMed] [Google Scholar]
- 9.Cardwell CR, Stene LC, Joner G, Cinek O, Svensson J, Goldacre MJ, et al. Caesarean section is associated with an increased risk of childhood-onset type 1 diabetes mellitus: a meta-analysis of observational studies. Diabetologia. 2008;51(5):726–35. doi: 10.1007/s00125-008-0941-z. [DOI] [PubMed] [Google Scholar]
- 10.Marcotte EL, Thomopoulos TP, Infante-Rivard C, Clavel J, Petridou ET, Schuz J, et al. Caesarean delivery and risk of childhood leukaemia: a pooled analysis from the Childhood Leukemia International Consortium (CLIC) Lancet Haematol. 2016;3(4):e176–85. doi: 10.1016/S2352-3026(16)00002-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Wang R, Wiemels JL, Metayer C, Morimoto L, Francis SS, Kadan-Lottick N, et al. Cesarean Section and Risk of Childhood Acute Lymphoblastic Leukemia in a Population-Based, Record-Linkage Study in California. Am J Epidemiol. 2017;185(2):96–105. doi: 10.1093/aje/kww153. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Thomopoulos TP, Skalkidou A, Dessypris N, Chrousos G, Karalexi MA, Karavasilis TG, et al. Prelabor cesarean delivery and early-onset acute childhood leukemia risk. Eur J Cancer Prev. 2016;25(2):155–61. doi: 10.1097/CEJ.0000000000000151. [DOI] [PubMed] [Google Scholar]
- 13.Thomopoulos TP, Skalkidou A, Dessypris N, Chrousos G, Karalexi MA, Karavasilis TG, et al. Prelabor cesarean delivery and early-onset acute childhood leukemia risk. European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation. 2015 doi: 10.1097/CEJ.0000000000000151. [DOI] [PubMed] [Google Scholar]
- 14.Francis SS, Selvin S, Metayer C, Wallace AD, Crouse V, Moore TB, et al. Mode of delivery and risk of childhood leukemia. Cancer Epidemiol Biomarkers Prev. 2014;23(5):876–81. doi: 10.1158/1055-9965.EPI-13-1098. [DOI] [PubMed] [Google Scholar]
- 15.Metayer C, Milne E, Clavel J, Infante-Rivard C, Petridou E, Taylor M, et al. The Childhood Leukemia International Consortium. Cancer epidemiology. 2013;37(3):336–47. doi: 10.1016/j.canep.2012.12.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Johnson KJ, Roesler MA, Linabery AM, Hilden JM, Davies SM, Ross JA. Infant leukemia and congenital abnormalities: a Children’s Oncology Group study. Pediatr Blood Cancer. 2010;55(1):95–9. doi: 10.1002/pbc.22495. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Puumala SE, Spector LG, Robison LL, Bunin GR, Olshan AF, Linabery AM, et al. Comparability and representativeness of control groups in a case-control study of infant leukemia: a report from the Children’s Oncology Group. Am J Epidemiol. 2009;170(3):379–87. doi: 10.1093/aje/kwp127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Spector LG, Xie Y, Robison LL, Heerema NA, Hilden JM, Lange B, et al. Maternal diet and infant leukemia: the DNA topoisomerase II inhibitor hypothesis: a report from the children’s oncology group. Cancer Epidemiol Biomarkers Prev. 2005;14(3):651–5. doi: 10.1158/1055-9965.EPI-04-0602. [DOI] [PubMed] [Google Scholar]
- 19.Lagercrantz H. Stress, arousal, and gene activation at birth. News Physiol Sci. 1996;11:214–8. [Google Scholar]
- 20.Zanardo V, Solda G, Trevisanuto D. Elective cesarean section and fetal immune-endocrine response. Int J Gynaecol Obstet. 2006;95(1):52–3. doi: 10.1016/j.ijgo.2006.06.022. [DOI] [PubMed] [Google Scholar]
- 21.Mears K, McAuliffe F, Grimes H, Morrison JJ. Fetal cortisol in relation to labour, intrapartum events and mode of delivery. J Obstet Gynaecol. 2004;24(2):129–32. doi: 10.1080/01443610410001645389. [DOI] [PubMed] [Google Scholar]
- 22.Magiakou MA, Mastorakos G, Webster E, Chrousos GP. The hypothalamic-pituitary-adrenal axis and the female reproductive system. Annals of the New York Academy of Sciences. 1997;816:42–56. doi: 10.1111/j.1749-6632.1997.tb52128.x. [DOI] [PubMed] [Google Scholar]
- 23.Schmiegelow K, Vestergaard T, Nielsen SM, Hjalgrim H. Etiology of common childhood acute lymphoblastic leukemia: the adrenal hypothesis. Leukemia. 2008;22(12):2137–41. doi: 10.1038/leu.2008.212. [DOI] [PubMed] [Google Scholar]
- 24.Palle J, Frost BM, Forestier E, Gustafsson G, Nygren P, Hellebostad M, et al. Cellular drug sensitivity in MLL-rearranged childhood acute leukaemia is correlated to partner genes and cell lineage. Br J Haematol. 2005;129(2):189–98. doi: 10.1111/j.1365-2141.2005.05433.x. [DOI] [PubMed] [Google Scholar]
- 25.Ramakers-van Woerden NL, Beverloo HB, Veerman AJ, Camitta BM, Loonen AH, van Wering ER, et al. In vitro drug-resistance profile in infant acute lymphoblastic leukemia in relation to age, MLL rearrangements and immunophenotype. Leukemia. 2004;18(3):521–9. doi: 10.1038/sj.leu.2403253. [DOI] [PubMed] [Google Scholar]
- 26.Zwaan CM, Kaspers GJ, Pieters R, Hahlen K, Huismans DR, Zimmermann M, et al. Cellular drug resistance in childhood acute myeloid leukemia is related to chromosomal abnormalities. Blood. 2002;100(9):3352–60. doi: 10.1182/blood.V100.9.3352. [DOI] [PubMed] [Google Scholar]
- 27.Kosiewicz MM, Zirnheld AL, Alard P. Gut microbiota, immunity, and disease: a complex relationship. Frontiers in microbiology. 2011;2:180. doi: 10.3389/fmicb.2011.00180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Macpherson AJ, Martinic MM, Harris N. The functions of mucosal T cells in containing the indigenous commensal flora of the intestine. Cellular and molecular life sciences : CMLS. 2002;59(12):2088–96. doi: 10.1007/s000180200009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Benveniste J, Lespinats G, Adam C, Salomon JC. Immunoglobulins in intact, immunized, and contaminated axenic mice: study of serum IgA. Journal of immunology. 1971;107(6):1647–55. [PubMed] [Google Scholar]
- 30.Bauer H, Horowitz RE, Levenson SM, Popper H. The response of the lymphatic tissue to the microbial flora. Studies on germfree mice. The American journal of pathology. 1963;42:471–83. [PMC free article] [PubMed] [Google Scholar]
- 31.Martin R, Nauta AJ, Ben Amor K, Knippels LM, Knol J, Garssen J. Early life: gut microbiota and immune development in infancy. Beneficial microbes. 2010;1(4):367–82. doi: 10.3920/BM2010.0027. [DOI] [PubMed] [Google Scholar]
- 32.Li M, Wang M, Donovan SM. Early development of the gut microbiome and immune-mediated childhood disorders. Seminars in reproductive medicine. 2014;32(1):74–86. doi: 10.1055/s-0033-1361825. [DOI] [PubMed] [Google Scholar]
- 33.Dominguez-Bello MG, Costello EK, Contreras M, Magris M, Hidalgo G, Fierer N, et al. Delivery mode shapes the acquisition and structure of the initial microbiota across multiple body habitats in newborns. Proceedings of the National Academy of Sciences of the United States of America. 2010;107(26):11971–5. doi: 10.1073/pnas.1002601107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Jakobsson HE, Abrahamsson TR, Jenmalm MC, Harris K, Quince C, Jernberg C, et al. Decreased gut microbiota diversity, delayed Bacteroidetes colonisation and reduced Th1 responses in infants delivered by caesarean section. Gut. 2014;63(4):559–66. doi: 10.1136/gutjnl-2012-303249. [DOI] [PubMed] [Google Scholar]
- 35.Gronlund MM, Lehtonen OP, Eerola E, Kero P. Fecal microflora in healthy infants born by different methods of delivery: permanent changes in intestinal flora after cesarean delivery. Journal of pediatric gastroenterology and nutrition. 1999;28(1):19–25. doi: 10.1097/00005176-199901000-00007. [DOI] [PubMed] [Google Scholar]
- 36.Fung I, Garrett JP, Shahane A, Kwan M. Do bugs control our fate? The influence of the microbiome on autoimmunity. Current allergy and asthma reports. 2012;12(6):511–9. doi: 10.1007/s11882-012-0291-2. [DOI] [PubMed] [Google Scholar]
- 37.Ordovas JM, Mooser V. Metagenomics: the role of the microbiome in cardiovascular diseases. Current opinion in lipidology. 2006;17(2):157–61. doi: 10.1097/01.mol.0000217897.75068.ba. [DOI] [PubMed] [Google Scholar]
- 38.Honda K, Littman DR. The microbiome in infectious disease and inflammation. Annual review of immunology. 2012;30:759–95. doi: 10.1146/annurev-immunol-020711-074937. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Schwabe RF, Jobin C. The microbiome and cancer. Nature reviews Cancer. 2013;13(11):800–12. doi: 10.1038/nrc3610. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Prior E, Santhakumaran S, Gale C, Philipps LH, Modi N, Hyde MJ. Breastfeeding after cesarean delivery: a systematic review and meta-analysis of world literature. The American journal of clinical nutrition. 2012;95(5):1113–35. doi: 10.3945/ajcn.111.030254. [DOI] [PubMed] [Google Scholar]
- 41.Munyaka PM, Khafipour E, Ghia JE. External influence of early childhood establishment of gut microbiota and subsequent health implications. Frontiers in pediatrics. 2014;2:109. doi: 10.3389/fped.2014.00109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Merewood A, Philipp BL, Chawla N, Cimo S. The baby-friendly hospital initiative increases breastfeeding rates in a US neonatal intensive care unit. J Hum Lact. 2003;19(2):166–71. doi: 10.1177/0890334403252475. [DOI] [PubMed] [Google Scholar]
- 43.MacDorman MF, Menacker F, Declercq E. Cesarean birth in the United States: epidemiology, trends, and outcomes. Clinics in perinatology. 2008;35(2):293–307. v. doi: 10.1016/j.clp.2008.03.007. [DOI] [PubMed] [Google Scholar]
- 44.Appropriate technology for birth. Lancet. 1985;2(8452):436–7. [PubMed] [Google Scholar]
- 45.Betran AP, Merialdi M, Lauer JA, Bing-Shun W, Thomas J, Van Look P, et al. Rates of caesarean section: analysis of global, regional and national estimates. Paediatric and perinatal epidemiology. 2007;21(2):98–113. doi: 10.1111/j.1365-3016.2007.00786.x. [DOI] [PubMed] [Google Scholar]
- 46.Jurek AM, Greenland S, Spector LG, Roesler MA, Robison LL, Ross JA. Self-report versus medical record - perinatal factors in a study of infant leukaemia: a study from the Children’s Oncology Group. Paediatr Perinat Epidemiol. 2011;25(6):540–8. doi: 10.1111/j.1365-3016.2011.01226.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
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