Summary
Background
Results from case-control studies have shown an increased risk of acute lymphoblastic leukaemia (ALL) in young children born by caesarean delivery, and prelabour caesarean delivery in particular; however, an association of method of delivery with childhood leukaemia subtypes has yet to be established. We therefore did a pooled analysis of data to investigate the association between childhood leukaemia and caesarean delivery.
Methods
We pooled data from 13 case-control studies from the Childhood Leukemia International Consortium done in nine countries (Canada, Costa Rica, Egypt, France, Germany, Greece, Italy, New Zealand, and the USA) for births from 1970-2013. We analysed caesarean delivery overall and by indications that probably resulted in prelabour caesarean delivery or emergency caesarean delivery. We used multivariable logistic regression models, adjusted for child's birthweight, sex, age, ethnic origin, parental education, maternal age, and study, to estimate odds ratios (ORs) and 95% CIs for the risk of ALL and acute myeloid leukaemia (AML) in children aged 0-14 years at diagnosis.
Findings
The studies provided data for 8780 ALL cases, 1332 AML cases, and 23 459 controls, of which the birth delivery method was known for 8655 (99%) ALL cases, 1292 (97%) AML cases, and 23 351 (>99%) controls. Indications for caesarean delivery were available in four studies (there were caesarean deliveries for 1061 of 4313 ALL cases, 138 of 664 AML cases, and 1401 of 5884 controls). The OR for all indications of caesarean delivery and ALL was 1.06 (95% CI 0.99–1.13), and was significant for prelabour caesarean delivery and ALL (1.23 [1.04-1.47]; p=0.018). Emergency caesarean delivery was not associated with ALL (OR 1.02 [95% CI 0.81-1.30]). AML was not associated with caesarean delivery (all indications OR 0.99 [95% CI 0.84-1.17]; prelabour caesarean delivery 0.83 [0.54-1.26]; and emergency caesarean delivery 1.05 [0.63-1.77]).
Interpretation
Our results suggest an increased risk of childhood ALL after prelabour caesarean delivery. If this association is causal, maladaptive immune activation due to an absence of stress response before birth in children born by prelabour caesarean delivery could be considered as a potential mechanism.
Introduction
Leukaemia is the most common childhood malignant disease, accounting for around a third of cancers diagnosed in children aged 0-14 years.1 There is strong evidence that acute lymphoblastic leukaemia (ALL), the most common subtype, is initiated in utero with a secondary event necessary to trigger carcinogenesis.2 Hypotheses suggest involvement of immune development and responses to infection in the development of childhood ALL.3 Findings from studies of proxies of exposure to infection, including day-care attendance,4 birth order,5 and timing of birth,6 lend support to the concept of an infectious cause. Additionally, children who develop ALL might have developmental differences in immune function from birth,7 suggesting that early immune development could be important for risk of disease.
Mounting evidence suggests that birth by caesarean delivery affects both short-term and long-term outcomes onset of labour.9
Meta-analyses have reported small (odds ratio <1.50) but significant associations between birth by caesarean delivery and subsequent risk of immune-related disorders, including asthma10 and type 1 diabetes.11 An association of childhood leukaemia with caesarean delivery has not been established, although many studies might be underpowered to detect a small association. Several previous studies have reported null associations between caesarean delivery and ALL,12–17 but findings from one study suggested increased odds of ALL after caesarean delivery.18 Furthermore, two studies have done subgroup analyses and shown raised effect estimates when stratifying by disease subtypes or type of caesarean delivery. In what was, to our knowledge, the first study to investigate the role of prelabour caesarean delivery in childhood leukaemia, investigators showed an increased risk of overall ALL and precursor B-cell ALL in children aged 0–3 years after prelabour caesarean delivery,19 whereas another study reported increased risk of common ALL (defined as ALL with expression of CD10 and CD19 surface antigens and diagnosis occurring between age 2 and 5.9 years), particularly in Hispanic people, after caesarean delivery.20
The Childhood Leukemia International Consortium (CLIC) is a multinational collaboration of epidemiological and genetic studies of childhood leukaemia.21 In this collaborative study, we used pooled CLIC data to comprehensively investigate the association between childhood leukaemia and caesarean delivery.
Methods
Selection criteria and data inclusion
We invited all principal investigators of studies currently included in CLIC consortium to participate in this analysis. Participation depended on availability of data about method of birth, and the ability of the study teams to provide data by the end of June, 2014. 13 case-control studies done in nine countries (Canada, Costa Rica, Egypt, France, Germany, Greece, Italy, New Zealand, and the USA) in variable periods including births from 1970 to 2013 contributed data to the pooled analyses. Study design and characteristics of participants in individual studies have been described elsewhere.21 The data we requested included the child's sex, age at diagnosis or recruitment, ALL immunophenotype, year of birth, birthweight, gestational age, ethnic origin, maternal age at child's birth, maternal and paternal education level, breastfeeding, method of delivery, and, if available, indication for caesarean delivery. We also requested the variables used in the matching or selection of participants. All studies were approved by institutional ethics committees.
Data were checked in collaboration with investigators from each study and standardised across studies for the pooled analyses. In particular, categorical variables were created for ethnic origin (white, black, Asian, Hispanic, other), highest level of education obtained by either parent (none or primary, secondary, or tertiary [roughly equivalent to 0-9 years, 10-12 years, and ≥13 years of education, respectively]), and birthweight (≤2499 g, 2500-3999 g, ≥4000 g). Breastfeeding was classified as either yes or no on the basis of whether the child was ever breastfed. In the few studies that did not obtain information about ethnic origins, we classified ethnic group based on the predominant ethnic group of each country, after consultation of the respective principal investigators. For the purpose of stratified analyses, we created a categorical variable for gestational age (early preterm [<34 weeks], late preterm [34-36 weeks], early term [37-38 weeks], full term [39-40 weeks], and late term [>40 weeks]). Implausible values for birthweight (<500 g) and gestational age (<20 weeks or >44 weeks) were deemed as missing.
The primary exposure variable, method of birth, was obtained by questionnaire for all studies except two US studies (Washington and the California Childhood Leukemia Study [CCLS]) that obtained information from birth-registry records. From four studies (Canada, France [Etude cas-témoins sur les cancers de l'enfant; ESTELLE], Greece, and US [the Children's Cancer Group (CCG)]) that provided indications for caesarean delivery, data were obtained by questionnaire in response to questions such as “What was the reason for having a caesarean section?”. When the reason given was previous caesarean delivery or multiple births, we regarded these indications as likely to have resulted in scheduled prelabour caesarean delivery. Although the questionnaires contained data elsewhere for whether the index child was part of a multiple birth or whether the mother had undergone a previous caesarean delivery, we only judged births as probably prelabour caesarean delivery when these indications were explicitly given as the reason that a caesarean delivery took place. The France (ESTELLE) and Greece studies contained sufficient detail in the indication for a caesarean delivery variable to also classify caesarean births as probably emergency caesarean delivery. We categorised births as emergency caesarean delivery when the indication for caesarean delivery was fetal distress, prolonged labour, failure in labour progression, cord prolapse, or obstructed labour due to malposition, malpresentation, or shoulder dystocia. The main outcome of our analysis was an association of either ALL or AML with caesarean delivery due to all indications, prelabour caesarean delivery, or emergency caesarean delivery. We also examined the risk of ALL with caesarean delivery by subgroups (immunophenotypes, age, year of birth, gestational age, and child's ethnic origin).
Statistical analysis
Analyses were restricted to children aged 0-14 years at diagnosis. We used multivariable logistic regression models to estimate study-specific and pooled odds ratios (ORs) and 95% CI for the association of ALL and AML with caesarean delivery due to all indications, prelabour caesarean, and emergency caesarean. To test for interactions, we included models with cross-term products for method of delivery and all stratification variables. Controls were individually matched (mostly by age and sex, and, in four studies, region) to cases in eight studies and frequency matched (mostly by age and sex) to cases in five studies. In the estimation of study-specific ORs for studies that used individual matching, we retained original matched sets and used conditional logistic regression; unconditional logistic regression was used to calculate study-specific ORs for studies with a frequency matched design. For the estimation of pooled ORs, we used unconditional logistic regression to increase statistical power because it enabled us to include all participants with complete data,22 and at least three of the individual studies had used this method in their original analyses.23-25 All models were adjusted for child's age, sex, ethnic origin, birthweight, maternal age, parental education, and study. For ALL cases, we did the analyses by B-cell and T-cell immunophenotype subgroups, and stratified analyses by age at diagnosis (using categories 0, 1-5, 6-10, and 11-14 years to show age-related cytogenetic profiles of ALL cases),26 decade of birth, and gestational age. We also did analyses restricted to children aged 0-3 years to replicate the analyses from the Greek study.19 Separately, we stratified analyses by child's ethnic origin within ALL cases overall and then restricted analysis to children aged 2-5 years with ALL to replicate analyses from the California study.20 For stratification by ethnic origin, we used data from the four US-based studies because these contained the most detailed data for ethnic origin. Because caesarean delivery is associated with lower rates of breastfeeding,27 which is in turn associated with increased risk of childhood leukaemia,28 we regarded breastfeeding as a potential mediator of the effect of caesarean delivery on leukaemia risk. To assess this possibility, we did separate analyses controlling for breastfeeding to calculate the direct effect of caesarean delivery and prelabour caesarean delivery on leukaemia risk (emergency caesarean delivery was not included in these analyses). Finally, we combined study-specific ORs in fixed-effects meta-analysis models and produced summary ORs, 95% CIs, forest plots, and I2 statistics. We tested between-study heterogeneity by Cochran's Q test. We did sensitivity analyses by systematically removing one study at a time from the pooled analyses. For all instances, we did a complete participant analysis.29 Data were analysed with SAS 9.4 and R 3.0.2.
Role of the funding source
The funder of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report. The corresponding author (ELM) and last author (LGS) had full access to all the data in the study and had final responsibility for the decision to submit for publication.
Results
The 13 participating studies provided data for 8780 ALL cases, 1332 AML cases, and 23 459 controls aged 0-14 years (table 1). Delivery method was known for 8655 (99%) ALL cases, 1292 (97%) AML cases, and 23 351 (>99%) controls (table 2). Information about indication for caesarean delivery was provided by four studies (Canada [Quebec], France [ESTELLE], Greece [NARECHEM], and USA [CCG]), there were caesarean deliveries for 1061 of 4313 ALL cases, 138 of 664 AML cases, and 1401 of 5884 controls. The percentage of caesarean delivery in controls varied substantially between studies, from 7% (20 of 303) in New Zealand to 38% (449 of 1176) in Greece (appendix p 1). We also noted substantial variation in the frequency of caesarean delivery between ALL and AML cases. For children born by caesarean delivery, the study-specific frequency of prelabour caesarean delivery ranged from 17% (43 of 255 in France [ESTELLE]) to 28% (126 of 449 in Greece) for controls and 13% (16 of 122 in France [ESTELLE]) to 36% (142 of 391 in Greece) for ALL cases (table 3).
Table 1. Summary of the 13 case-control studies included in the pooled analysis by country (study name), and years of case accrual.
Method of assessment | Cases | Controls | ||||
---|---|---|---|---|---|---|
Source | ALL (n) | AML (n) | Source | n | ||
Canada (Quebec), 1980–200030 | Questionnaire | Province-wide hospitals | 790 | 0 | Province-wide population-based health-insurance registry | 790 |
Costa Rica, 2001-0331 | Questionnaire | Cancer registry and hospitals | 252 | 40 | Birth registry | 577 |
Egypt (CCHE), 2009–11 (no publication yet) | Questionnaire | One hospital | 299 | 0 | Region-wide, population-based registry | 351 |
France (ESCALE), 2003–0432 | Questionnaire | Cancer registry | 648 | 101 | Nationwide population quotas | 1681 |
France (ESTELLE), 2010–1116 | Questionnaire | Cancer registry | 636 | 100 | Nationwide population quotas | 1421 |
Greece (NARECHEM), 1996–201319 | Questionnaire | Cancer registry | 1045 | 114 | Hospital-based registry | 1176 |
Germany (GCCR), 1980–9623 | Questionnaire | Cancer registry | 751 | 130 | Population-based registry | 2455 |
Italy (SETIL), 1998–200124 | Questionnaire | Cancer registry | 601 | 82 | Population-based registry | 1044 |
New Zealand (NZCCS), 1990–9325 | Questionnaire and medical records | Cancer registry | 97 | 22 | Birth registry | 303 |
USA (CCLS), 1995–201333 | Questionnaire | Hospitals | 840 | 145 | Statewide birth registry | 1226 |
USA (CCG), 1989–9334 | Questionnaire | CCG clinical trials | 1842 | 450 | Random digit dialling* | 2497 |
USA (Texas), 2003–1335 | Questionnaire and medical records | One hospital | 212 | 1 | One hospital | 339 |
USA (Washington), 1974–200936 | Birth records | Cancer registry | 767 | 147 | Statewide birth registry | 9599 |
Total | .. | .. | 8780 | 1332 | .. | 23 459 |
Data are numbers of cases and controls aged 0–14 years contributing to the study sample. ALL=acute lymphoblastic leukaemia. AML=acute myeloid leukaemia. CCHE=Children's Cancer Hospital Egypt. ESCALE=Etude cas-témoins sur les cancers de l'enfant. ESTELLE=Etude cas-témoins sur les cancers de l'enfant. GCCR=German Childhood Cancer Registry. NARECHEM=NAtionwide REgistry for Childhood HaEmatological Malignancies. SETIL=Studio sulla Eziologia dei Tumori Infantili Linfoemopoietici. NZCCS=New Zealand Childhood Cancer Study. CCLS=California Childhood Leukemia Study. CCG=Children's Cancer Group.
Controls were individually matched on telephone area code and exchange.
Table 2. Birth and demographic characteristics of study participants.
Controls (n=23 351) | ALL cases (n=8655) | AML cases (n=1292) | |
---|---|---|---|
Child's sex | |||
Male | 12 516 (54%) | 4886 (57%) | 677 (52%) |
Female | 10 835 (46%) | 3769 (44%) | 615 (48%) |
Child's age (years) | |||
0–1 | 4143 (18%) | 1000 (12%) | 381 (30%) |
2–5 | 10 916 (47%) | 4806 (56%) | 340 (26%) |
6–10 | 5244 (23%) | 2013 (23%) | 330 (26%) |
11–14 | 2920 (13%) | 834 (10%) | 239 (19%) |
Missing | 128 | 2 | 2 |
Child's ethnic origin | |||
White | 18 069 (78%) | 6723 (78%) | 978 (76%) |
Black | 760 (3%) | 177 (2%) | 49 (4%) |
Asian | 820 (4%) | 212 (3%) | 61 (5%) |
Hispanic | 2476 (11%) | 965 (11%) | 152 (12%) |
Other | 1011 (4%) | 553 (6%) | 47 (4%) |
Missing | 215 | 25 | 5 |
Birthweight (g) | |||
≤2499 | 1316 (6%) | 450 (5%) | 73 (6%) |
2500–3999 | 18 960 (83%) | 6866 (82%) | 1045 (82%) |
≥4000 | 2644 (12%) | 1068 (13%) | 156 (12%) |
Missing | 431 | 271 | 18 |
Gestational age (weeks) | |||
<34 | 347 (2%) | 115 (2%) | 16 (2%) |
34–36 | 1005 (6%) | 431 (6%) | 66 (6%) |
37–38 | 3293 (18%) | 1274 (18%) | 157 (15%) |
39–40 | 9342 (51%) | 3624 (51%) | 556 (52%) |
>40 | 4260 (23%) | 1650 (23%) | 276 (26%) |
Missing | 5104 | 1561 | 221 |
Mother's age at delivery (years) | |||
<26 | 8179 (35%) | 2918 (34%) | 464 (36%) |
26–30 | 7854 (34%) | 2913 (34%) | 422 (33%) |
31–35 | 5081 (22%) | 1961 (23%) | 286 (22%) |
36–40 | 1754 (8%) | 661 (8%) | 96 (7%) |
>40 | 306 (1%) | 98 (1%) | 22 (2%) |
Missing | 177 | 104 | 2 |
Parental education* | |||
None or primary | 2082 (11%) | 1054 (13%) | 178 (15%) |
Secondary | 7414 (40%) | 3558 (43%) | 557 (46%) |
Tertiary | 9159 (49%) | 3644 (44%) | 473 (39%) |
Missing | 4696 | 399 | 84 |
Breastfeeding† | |||
Yes | 9428 (69%) | 5049 (66%) | 468 (70%) |
No | 4153 (31%) | 2624 (34%) | 203 (30%) |
Missing | 9770 | 982 | 621 |
Method of delivery | |||
Vaginal | 18 583 (80%) | 6601 (76%) | 1020 (79%) |
Caesarean | 4768 (21%) | 2054 (24%) | 272 (21%) |
Type of caesarean‡ | |||
Prelabour because of previous caesarean delivery or multiple births | 325 | 309 | 34 |
Other or unknown | 1076 | 752 | 104 |
Data are for numbers of participants with complete data for method of delivery (%). ALL=acute lymphoblastic leukaemia. AML=acute myeloid leukaemia.
Data for 4230 controls, 335 ALL cases, and 66 AML cases are missing from the US (Washington) study, in which data on parental education were not obtained before 1992.
Data for 8499 controls, 680 ALL cases, and 128 AML cases are missing from the US (Washington) study, in which breast-feeding data were not obtained before 2003.
Data are shown for the Canada, France (ESTELLE), Greece, and US (CCG) studies that had information about the indication for caesarean delivery. Only absolute counts are shown because data are for a subset of participants.
Table 3. Frequency of type of caesarean delivery, by study.
All participants aged up to 14 years | Participants aged 0–3 years | |||||
---|---|---|---|---|---|---|
Controls | ALL cases | AML cases | Controls | ALL cases | AML cases | |
Canada, Quebec | ||||||
Caesarean delivery | 136 | 137 | .. | 63 | 74 | .. |
Prelabour | 27 (20%) | 42 (31%) | .. | 11 (18%) | 27 (37%) | .. |
Other or unknown | 109 (80%) | 95 (69%) | .. | 52 (83%) | 47 (64%) | .. |
France (ESTELLE) | ||||||
Caesarean delivery | 255 | 122 | 16 | 114 | 39 | 8 |
Prelabour | 43 (17%) | 16 (13%) | 1 (6%) | 16 (14%) | 5 (13%) | 0 |
Emergency | 85 (33%) | 52 (43%) | 7 (44%) | 45 (40%) | 13 (33%) | 4 (50%) |
Other or unknown | 127 (50%) | 54 (44%) | 8 (50%) | 53 (47%) | 21 (54%) | 4 (50%) |
Greece | ||||||
Caesarean delivery | 449 | 391 | 40 | 207 | 196 | 24 |
Prelabour | 126 (28%) | 142 (36%) | 16 (40%) | 56 (27%) | 66 (34%) | 12 (50%) |
Emergency | 108 (24%) | 83 (21%) | 11 (28%) | 47 (23%) | 39 (20%) | 6 (25%) |
Other or unknown | 215 (48%) | 166 (43%) | 13 (33%) | 104 (50%) | 91 (47%) | 6 (25%) |
USA (CCG) | ||||||
Caesarean delivery | 561 | 411 | 82 | 223 | 189 | 42 |
Prelabour | 129 (23%) | 109 (27%) | 17 (21%) | 42 (19%) | 50 (27%) | 11 (26%) |
Other or unknown | 432 (77%) | 302 (74%) | 65 (79%) | 181 (81%) | 139 (74%) | 31 (74%) |
Data are n (%). ALL=acute lymphoblastic leukaemia. AML=acute myeloid leukaemia. ESTELLE=Etude cas-témoins sur les cancers de l'enfant. CCG=Children's Cancer Group.
Caesarean delivery due to any indication was associated with a slightly increased point estimate for ALL (OR 1.06 [95% CI 0.99-1.13]), mainly driven by the B-cell immunophenotype (table 4), however this finding was not significant. Study-specific ORs for ALL ranged from 0.61 to 1.88 (appendix p 2) but we did not detect evidence of heterogeneity (I2=0.02%). We did not note an association between caesarean delivery and AML (OR 0.99 [95% CI 0.84-1.17], table 4), and no associations were apparent between caesarean delivery due to any indication and ALL for any subgroups. After inclusion of cross-term products for method of delivery and all stratification variables we noted no significant interaction p values (data not shown).
Table 4. Risk of childhood leukaemia associated with caesarean delivery and prelabour caesarean delivery.
Caesarean delivery (all indications) | Prelabour caesarean delivery | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Number of studies | Controls | Cases | OR* (95% CI) | Number of studies | Controls | Cases | OR* (95% CI) | |||||
CD | VD | CD | VD | PLCD | VD | PLCD | VD | |||||
Outcome | ||||||||||||
ALL | 13 | 3812 | 14 184 | 1877 | 6000 | 1.06 (0.99–1.13) | 4 | 325 | 4467 | 306 | 3238 | 1.23 (1.04–1.47), p=0.018 |
AML | 11 | 3179 | 11 917 | 251 | 937 | 0.99 (0.84–1.17) | 3 | 298 | 3815 | 34 | 525 | 0.83 (0.54–1.26) |
ALL immunophenotype† | ||||||||||||
B-cell | 10 | 3411 | 12 641 | 1324 | 4091 | 1.07 (0.99–1.15) | 3 | 267 | 3394 | 208 | 1867 | 1.23 (1.01–1.50), p=0.039 |
T-cell | 10 | 3411 | 12 641 | 150 | 519 | 0.97 (0.80–1.18) | 3 | 267 | 3394 | 26 | 275 | 1.11 (0.72–1.72) |
Risk of ALL by subgroup† | ||||||||||||
Age at diagnosis (years)‡ | ||||||||||||
0 | 13 | 312 | 1155 | 62 | 190 | 1.14 (0.79–1.64) | 4 | 13 | 305 | 11 | 96 | 2.62 (0.96–7.19) |
0–3 | 13 | 1883 | 6327 | 927 | 2679 | 1.05 (0.95–1.17) | 4 | 125 | 1743 | 148 | 1405 | 1.42 (1.09–1.83), p=0.0079 |
1–5 | 13 | 2411 | 7979 | 1293 | 3769 | 1.04 (0.96–1.14) | 4 | 210 | 2454 | 201 | 1982 | 1.19 (0.96–1.47) |
6–10 | 13 | 732 | 3269 | 386 | 1430 | 1.12 (0.96–1.30) | 4 | 63 | 1024 | 64 | 775 | 1.32 (0.91–1.93) |
11–14 | 12 | 339 | 1706 | 136 | 611 | 1.00 (0.78–1.27) | 4 | 39 | 684 | 30 | 385 | 1.13 (0.65–1.94) |
Year of birth | ||||||||||||
1970–79 | 4 | 85 | 543 | 55 | 329 | 1.06 (0.70–1.60) | 2 | 17 | 386 | 11 | 304 | 1.13 (0.46–2.80) |
1980–89 | 9 | 806 | 3489 | 535 | 2049 | 1.01 (0.89–1.15) | 3 | 119 | 1870 | 122 | 1523 | 1.30 (0.99–1.72) |
1990–99 | 13 | 1613 | 6439 | 690 | 2300 | 1.07 (0.95–1.19) | 4 | 77 | 1045 | 75 | 703 | 1.25 (0.88–1.78) |
2000–09 | 9 | 1237 | 3528 | 575 | 1296 | 1.12 (0.98–1.28) | 2 | 102 | 1015 | 91 | 688 | 1.09 (0.79–1.50) |
2010–13 | 4 | 71 | 185 | 22 | 26 | 1.54 (0.69–3.42) | 2 | 10 | 151 | 7 | 20 | 3.92 (0.98–15.70) |
Gestational age | ||||||||||||
Early preterm | 12 | 137 | 154 | 49 | 53 | 1.12 (0.66–1.91) | 4 | 6 | 46 | 6 | 35 | 0.88 (0.19–4.10) |
Late preterm | 12 | 299 | 591 | 140 | 254 | 1.07 (0.81–1.42) | 4 | 18 | 165 | 17 | 113 | 1.39 (0.61–3.14) |
Early term | 12 | 773 | 2152 | 375 | 837 | 1.11 (0.94–1.31) | 4 | 82 | 588 | 92 | 422 | 1.35 (0.95–1.93) |
Full term | 12 | 1473 | 6759 | 671 | 2786 | 1.01 (0.90–1.13) | 4 | 142 | 2212 | 135 | 1709 | 1.23 (0.95–1.59) |
Late term | 11 | 649 | 3220 | 296 | 1308 | 1.04 (0.88–1.22) | 4 | 15 | 985 | 8 | 641 | 0.85 (0.34–2.11) |
Child's ethnic origin§¶ | ||||||||||||
White | 4 | 1237 | 4316 | 472 | 1569 | 1.04 (0.91–1.19) | .. | .. | .. | .. | .. | .. |
Black | 4 | 122 | 306 | 37 | 113 | 0.74 (0.44–1.24) | .. | .. | .. | .. | .. | .. |
Asian | 4 | 102 | 383 | 26 | 121 | 0.85 (0.48–1.51) | .. | .. | .. | .. | .. | .. |
Hispanic | 4 | 300 | 1178 | 146 | 467 | 1.14 (0.89–1.47) | .. | .. | .. | .. | .. | .. |
Other | 4 | 43 | 165 | 20 | 67 | 1.23 (0.62–2.45) | .. | .. | .. | .. | .. | .. |
Child's ethnic origin (age 2–5 years)§¶ | ||||||||||||
White | 4 | 685 | 2198 | 295 | 862 | 1.06 (0.88–1.26) | .. | .. | .. | .. | .. | .. |
Black | 4 | 65 | 148 | 18 | 47 | 0.65 (0.29–1.44) | .. | .. | .. | .. | .. | .. |
Asian | 4 | 57 | 208 | 17 | 77 | 0.91 (0.43–1.89) | .. | .. | .. | .. | .. | .. |
Hispanic | 4 | 137 | 632 | 90 | 272 | 1.36 (0.97–1.92) | .. | .. | .. | .. | .. | .. |
Other | 4 | 28 | 83 | 11 | 40 | 0.86 (0.32–2.27) | .. | .. | .. | .. | .. | .. |
OR=odds ratio. CD=caesarean delivery. VD=vaginal delivery. PLCD=prelabour caesarean delivery. ALL=acute lymphoblasic leukaemia. AML=acute myeloid leukaemia.
Adjusted for birthweight, sex, ethnic origin, maternal age, child's age at diagnosis or reference date, parental education, and study.
Analyses include ALL cases only.
ORs adjusted for birthweight, sex, ethnic origin, maternal age, parental education, and study.
Analyses include the four US studies only.
ORs adjusted for birthweight, sex, maternal age, child's age at diagnosis or reference date, parental education, and study.
By contrast, prelabour caesarean delivery was significantly associated with ALL (OR 1.23 [95% CI 1.04-1.47], p=0.018; table 4). Study-specific ORs for ALL and prelabour caesarean delivery ranged from 0.85 to 1.38 (appendix p 3) and we did not detect evidence of heterogeneity (I2=0.00%). The effect estimate was similar for B-cell ALL (p=0.039) but lower for T-cell ALL (table 4). We did not note an association between prelabour caesarean delivery and AML (table 4). We noted an increased risk of ALL in children aged 0-3 years after prelabour caesarean delivery (p=0.0079; table 4), but no other associations for ALL with any other subgroup.
Emergency caesarean delivery was not associated with ALL (all cases OR 1.02 [95% CI 0.81-1.30]; B-cell immunophenotype 0.99 [0.77-1.28]; T-cell immunophenotype 1.19 [0.71-1.99]) or AML (1.05 [0.63-1.77]; appendix p 4). When we controlled for breastfeeding, the results remained stable for the associations between caesarean delivery overall and ALL (OR 1.04 [0.97-1.12]) and prelabour caesarean delivery and ALL (1.22 [1.02-1.45]; appendix p 5). The exclusion of one study at a time from caesarean delivery analyses only altered our effect estimates by less than 10% for all estimates (appendix p 6). Because of the small sample sizes in prelabour caesarean delivery analyses, we did sensitivity analyses excluding each study one by one only for the association between ALL and prelabour caesarean delivery. Results were highly consistent with those based on all four studies, with ORs within 5% of the original estimate (appendix p 6).
Discussion
We examined the association between childhood leukaemia and caesarean delivery in the largest sample of cases assembled to date, using studies from CLIC. We did not note an association between overall caesarean delivery and ALL or AML; however, in the four studies for which indication of caesarean delivery was available, ALL was associated with prelabour caesarean delivery (defined as indications of multiple births and previous caesarean delivery).
Although leukaemia is the most common cancer in children aged 0-14 years, it remains rare and difficult to study epidemiologically, and achieving sufficient power in studies to detect modest associations is a particular challenge. Previous studies have been generally limited by inadequate sample sizes to detect modest associations and many did not have either the power or data availability to stratify by disease subtype or type of caesarean delivery. In this context, both null,12,14-16 and marginally significant positive associations between ALL and overall caesarean delivery18,20 have been shown. Similarly, studies that did not distinguish between leukaemia subtypes also reported null13,17 or small positive37 associations. One study distinguished between emergency and prelabour caesarean delivery and reported null associations for caesarean delivery overall and for prelabour caesarean delivery in children diagnosed at age 0-14 years, but reported moderate positive associations for children aged 0-3 years between ALL—particularly B-cell ALL—and both all-caesarean deliveries and prelabour caesarean delivery.19 By contrast, no association was identified with emergency caesarean delivery.19 Finally, one study investigated common ALL and reported a positive association between this subtype and caesarean delivery, especially in Hispanic people.20 Our findings suggest that prelabour caesarean delivery increases risk of ALL. Results of meta-analyses (appendix) were consistent with those of pooled analyses, thus we chose to present findings from the pooled analyses of individual data.
Several mechanisms might underlie the apparent association between ALL and prelabour caesarean delivery. First, labour and delivery elicit a substantial stress response in the fetus. Both catecholamine and cortisol concentrations are increased by a factor of 1.5-3.0 times in neonates born by vaginal delivery compared with those born by caesarean delivery before the onset of labour.38,39 By contrast, neonates born by emergency caesarean delivery show post-partum cortisol concentrations that are similar to those noted in neonates born by vaginal delivery.40 Increased cortisol concentrations at birth activate the hypothalamic–pituitary–adrenal (HPA) axis, which has a negative feedback relationship with immune and inflammatory reactions.41 The role of the HPA axis and increased cortisol concentrations in reducing risk of ALL was previously postulated by Schmiegelow and colleagues42 as part of the adrenal hypothesis of ALL causes. This hypothesis seeks to provide a causal framework to account for the negative association between early-life infections and childhood ALL, and suggests that infections increase plasma cortisol concentrations through changes in the HPA axis and that cortisol destroys leukaemic or preleukaemic cells. Glucocorticosteroids are powerful antileukaemic agents,43 and cortisol concentrations during infection-related stress can reach those obtained in glucocorticosteroid-based therapy.44,45 Indeed, adrenocorticotropic hormone treatment can stimulate cortisol secretion, which results in morphological remission of ALL.46 Thus, increased cortisol exposure in early life could directly eliminate leukaemic and preleukaemic cells. Furthermore, increased cortisol might suppress the T-helper-1-mediated proinflammatory response to infections by promoting production of anti-inflammatory T-helper-2 cytokines, including interleukin 4 and interleukin 10.42 This effect on the T-helper-1–T-helper-2 balance might reduce the proliferative stress on extant preleukaemic cells. In this context, exposure to the substantial cortisol concentrations during labour and delivery might have a role in mitigating ALL risk for those with preleukaemic cells that have arisen in utero. Children born by vaginal delivery and emergency caesarean delivery are generally exposed to similar cortisol concentrations during labour and delivery, whereas children born by prelabour caesarean delivery are expected to have significantly reduced cortisol exposure at birth.39,40 Since we noted increased risk of ALL only in children born by prelabour caesarean delivery, our findings are consistent with the role of early-life cortisol exposure in the causes of ALL.
A second potential mechanism for the association is differential microbiota colonisation after birth by caesarean delivery versus vaginal delivery. Mounting evidence suggests a crucial role of the gut microbiome, broadly in human health, and particularly in the development of the immune system.47 Findings from studies of germ-free mice showed an impaired development of the mucosal immune system and diminished numbers of both IgA-producing plasma cells and IgG in germ-free animals compared with animals of the same strain that are free of only specific pathogens.48,49 These mice also displayed abnormalities of the spleen and lymph nodes, including altered structure and poorly formed B-cell and T-cell zones.50 Intestinal microbiota affect early postnatal immune development via interactions with intestinal Toll-like receptors and production of suppressive cytokines, transforming growth factor-β, and interleukin 10, which direct a balanced T-helper-1 and T-helper-2 immune response.51,52 Colonisation of the microbiota occurs during the first moments of life, and the method of birth delivery has been shown to alter both composition53 and diversity54 of the intestinal microbiota in human beings. These differences persist through the first 6 to 12 months of life,55 a crucial period for immune-system development. Furthermore, findings from studies have suggested that differential microbiome colonisation could affect the risk of autoimmune disorders,56 chronic diseases,57 infection,58 and many types of adult cancer.59 It is common in prelabour caesarean delivery for the amniotic membrane to remain intact until surgery, and without membrane rupture, bacterial exposure is greatly reduced compared with caesarean deliveries with amniotic-membrane rupture.53 Findings from one study60 showed that maternal prenatal stress and cortisol concentrations were associated with infant intestinal microbiota composition. The mechanism for this association is unknown and might be unique to prenatal stress rather than cortisol concentrations during labour and delivery. However, if maternal cortisol does have a universal effect during the perinatal period on offspring microbiota, this effect might be another pathway through which caesarean delivery alters ALL risk. Additionally, caesarean delivery might alter constitution of the microbiome, not only by an absence of exposure to vaginal flora, but also through altered breastfeeding practices after caesarean delivery. Infants born by vaginal delivery are breastfed earlier and are more likely to be breastfed than those born by caesarean delivery.27 Breastmilk contains diverse microbes from the mother's gut and has been shown to play an important part in early microbiota colonisation.61 Controlling for breastfeeding did not change our results. This method needs the assumption that there are no uncontrolled confounders of the relationships between exposure and outcome or mediator and outcome, and many potential confounders (ethnic origin, maternal age, and socioeconomic indicators such as parental education) were already included in our analyses. Although the possibility of unmeasured confounders remains, our analysis suggests that differential breastfeeding practices did not account for our reported association between prelabour caesarean delivery and ALL.
Incidence of caesarean delivery has risen sharply over the past several decades, both in the USA and worldwide.62 WHO recommends that no more than 15% of births should happen by caesarean delivery;63 however, most developed regions have caesarean delivery rates above that number, some as high as 40%.64 The risks of caesarean delivery without medical indication to both mother and fetus have been well documented, and include both short-term and long-term effects on the offspring such as impaired lung function, altered metabolism and blood pressure during infancy, increased risk of obesity, and hepatic-related and immune-related disorders during childhood and adulthood.8 We noted a wide range of caesarean delivery rates in participating studies. Because the rise in caesarean delivery rates is a global trend spanning about four decades, some of the differences in rates are probably due to the varying birth-years represented among studies, in addition to differences in obstetric practices between countries.
Our study had several limitations. Since all participating studies were case-control in design, some control groups might not have been representative of the source population for cases with respect to exposure distribution, and this might be a particular concern in studies that use hospital-based control recruitment. Our sensitivity analyses excluding each study one at a time did not alter the associations, suggesting that results were not driven by biases inherent to individual studies. Furthermore, the estimates were unchanged when we excluded both studies that used hospital-based control recruitment. Additionally, the caesarean delivery rates noted in the controls show the expected trend based on the rates in each country for the birth-years represented. Most of the participating studies relied on maternal recall of our primary exposure variable, method of birth and indication for caesarean delivery, although findings from studies have shown that maternal recall of both method of birth and events in labour and delivery are highly accurate when compared with medical records (sensitivity and specificity for method of birth >99%).65,66 Our main findings for the association between ALL and prelabour caesarean delivery are based on two specific indications (previous caesarean delivery and multiple births). The four studies included in prelabour caesarean delivery analyses had varying levels of detail about indications for caesarean delivery. Information about previous caesarean delivery and multiple births was obtained for each study and, when listed as the indication for caesarean delivery, were regarded as highly likely to have resulted in prelabour caesarean delivery for all countries and years of birth represented in our dataset. Specifically, the data suggest that for mothers who have a repeat caesarean delivery, more than 80% of these are prelabour in both France67 and Greece68 (appendix p 7). Although some women in the prelabour caesarean delivery group might have undergone a trial of labour and were therefore misclassified, available data suggest that most of these births were correctly classified as prelabour caesarean delivery. Because misclassification of this dichotomous variable is expected to be non-differential and independent of other errors, any resultant bias would drive our reported effect toward the null.
High birthweight is known to be associated with ALL69 and is also a predictor of caesarean delivery,70 and macrosomia has been previously suggested as an indication for elective prelabour caesarean delivery,71 although this practice has been discouraged in recent years (from the early 2000s in the USA).72 To account for potential confounding by birthweight, we adjusted for this variable in all analyses. We cannot preclude the possibility that the associations are due to confounding by indication or other unmeasured confounding factors. It is possible that some maternal or fetal pathological changes that increase the risk of caesarean delivery also predispose the child to leukaemia. The data in our study did not include sufficient information to assess the possibility of confounding by indication; however, we have offered several plausible biological mechanisms that could account for the association if it is indeed causal.
Because of our large study size, we were able to investigate leukaemia subtypes, types of caesarean delivery, and ethnic origin in stratified analyses. Among the strengths of our study is that, by including both published and unpublished data, we avoided the risk of publication bias. Although both cortisol exposure and microbiota colonisation might play a part in the association between ALL and prelabour caesarean delivery, our findings that prelabour caesarean delivery, but not emergency caesarean delivery, could confer increased risk for ALL lend support to a role for cortisol exposure affecting risk of disease in susceptible infants, as proposed by the adrenal hypothesis. Future studies with more detailed and reliable information on caesarean delivery and its indication might be helpful in further elucidating this association. If the association between ALL and prelabour caesarean delivery is causal, and assuming an average global exposure prevalence of around 20% and an effect size of 1.25, about 5% of ALL cases could be attributable to prelabour caesarean delivery, although more research needs to be done to determine whether this is the case. Birth cohorts and population-based epidemiological studies with data from medical records about indications for caesarean delivery and occurrence of caesarean delivery before or during labour, especially if enriched with data for leukaemia subtypes and molecular markers, and biomarker information about stress hormones will be useful for doing a thorough analysis of the association between ALL and prelabour caesarean delivery. Comparisons of the number of preleukaemic cells and CD34 positive cells, and HPA axis activity and epigenetic changes in neonates born by vaginal delivery, caesarean delivery, and prelabour caesarean delivery will also be valuable in elucidating the effect of method of birth on cells susceptible to malignant transformation.
Supplementary Material
Research in Context.
Evidence before this study
Acute lymphoblastic leukaemia (ALL) is the most common cancer in children. Immune development and early life exposures such as breastfeeding and infections are probably associated with the risk of ALL. Mounting evidence suggests that birth by caesarean delivery affects outcomes for the neonate, including development of the immune system; indeed, findings from two studies have suggested a heightened risk of ALL in children born by caesarean delivery. The first study showed an increased risk of the common ALL subtype after caesarean delivery, and the second noted an increased risk of B-cell ALL diagnosed at an earlier age specifically in children born by prelabour caesarean delivery.
Added value of this study
We did a pooled analysis of 13 case-control studies from the Childhood Leukemia International Consortium to investigate the association between childhood leukaemia and caesarean delivery. Our findings showed a significant association between prelabour caesarean delivery and childhood ALL. By contrast, acute myeloid leukaemia was not associated with caesarean delivery. Because of the large sample sizes and data available, we were able to separately examine subgroups of ALL and, in a subset of studies, caesarean deliveries that probably happened before the onset of labour. We substantiated the increased risk of B-cell ALL after birth by prelabour caesarean delivery, augmented in children diagnosed at age 0–3 years.
Implications of all the available evidence
The pooled analysis of CLIC studies suggest a role of prelabour caesarean delivery in development of ALL, specifically B-cell ALL. If confirmed in studies with detailed indications of caesarean delivery, these findings add to existing evidence suggesting adherence to guidelines for caesarean deliveries for the benefit of the child's health. Future studies could consider the absence of stress response before birth in children born by prelabour caesarean delivery as a potential mechanism.
Acknowledgments
The Childhood Leukemia International Consortium (CLIC) administration, annual meetings, and pooled analyses are partly supported by the National Cancer Institute (NCI), USA (grant R03 CA132172), National Institute of Environmental Health Sciences (NIEHS), USA (P01 ES018172, R01 ES009137, R13 ES021145, R13 ES022868, R13 ES024632 and R13 ES021145-01), the US Environmental Protection Agency (USEPA), USA (RD83451101), as part of the Center for Integrative Research on Childhood Leukemia and the Environment, Children with Cancer, (CwC UK; 2010/097), Alex's Lemonade Stand Foundation (ALSF; 20140461), and the Sao Paulo Research Foundation (FAPESP). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIEHS, NCI, USEPA, CwC UK, ALSF, or FAPESP. ELM and SSF were supported by postdoctoral fellowships from the National Institutes of Health, NCI (T32CA099936, and T32CA151022, respectively). We thank Alice Y Kang (project manager of CLIC), Somdat Mahabir (National Cancer Institute, USA), and Denis Henshaw and Katie Martin (CwC UK) for the scientific and administrative support to CLIC; and the families for their participation in each individual CLIC study. Additional acknowledgments for CLIC studies are in the appendix.
Funding: National Cancer Institute
Footnotes
Contributors: ELM, TPT, ETP, and LGS planned the analyses; ELM did the data pooling, harmonisation, and analysis; and ELM, TPT, CI-R, JC, ETP, and LGS participated in the core writing group of this manuscript. All authors are principal investigators, co-investigators, or designates of Childhood Leukemia International Consortium studies that contributed data to this analysis. All authors reviewed this manuscript for intellectual content and approved the final version submitted for publication.
Declaration of interests: We declare no competing interests.
References
- 1.Howlander N, Noone AM, Krapcho M, et al. SEER cancer statistics review, 1975–2011. Bethesda: National Cancer Institute; 2014. [Google Scholar]
- 2.Greaves M. In utero origins of childhood leukaemia. Early Hum Dev. 2005;81:123–29. doi: 10.1016/j.earlhumdev.2004.10.004. [DOI] [PubMed] [Google Scholar]
- 3.Greaves M. Infection, immune responses and the aetiology of childhood leukaemia. Nat Rev Cancer. 2006;6:193–203. doi: 10.1038/nrc1816. [DOI] [PubMed] [Google Scholar]
- 4.Urayama KY, Buffler PA, Gallagher ER, Ayoob JM, Ma X. A meta-analysis of the association between day-care attendance and childhood acute lymphoblastic leukaemia. Int J Epidemiol. 2010;39:718–32. doi: 10.1093/ije/dyp378. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Von Behren J, Spector LG, Mueller BA, et al. Birth order and risk of childhood cancer: a pooled analysis from five US States. Int J Cancer. 2011;128:2709–16. doi: 10.1002/ijc.25593. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Marcotte EL, Ritz B, Cockburn M, Yu F, Heck JE. Exposure to infections and risk of leukemia in young children. Cancer Epidemiol Biomarkers Prev. 2014;23:1195–203. doi: 10.1158/1055-9965.EPI-13-1330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Chang JS, Zhou M, Buffler PA, Chokkalingam AP, Metayer C, Wiemels JL. Profound deficit of IL10 at birth in children who develop childhood acute lymphoblastic leukemia. Cancer Epidemiol Biomarkers Prev. 2011;20:1736–40. doi: 10.1158/1055-9965.EPI-11-0162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Hyde MJ, Mostyn A, Modi N, Kemp PR. The health implications of birth by Caesarean section. Biol Rev Camb Philos Soc. 2012;87:229–43. doi: 10.1111/j.1469-185X.2011.00195.x. [DOI] [PubMed] [Google Scholar]
- 9.Cho CE, Norman M. Cesarean section and development of the immune system in the offspring. Am J Obstet Gynecol. 2013;208:249–54. doi: 10.1016/j.ajog.2012.08.009. [DOI] [PubMed] [Google Scholar]
- 10.Thavagnanam S, Fleming J, Bromley A, Shields MD, Cardwell CR. A meta-analysis of the association between Caesarean section and childhood asthma. Clin Exp Allergy. 2008;38:629–33. doi: 10.1111/j.1365-2222.2007.02780.x. [DOI] [PubMed] [Google Scholar]
- 11.Cardwell CR, Stene LC, Joner G, 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;51:726–35. doi: 10.1007/s00125-008-0941-z. [DOI] [PubMed] [Google Scholar]
- 12.Reynolds P, Von Behren J, Elkin EP. Birth characteristics and leukemia in young children. Am J Epidemiol. 2002;155:603–13. doi: 10.1093/aje/155.7.603. [DOI] [PubMed] [Google Scholar]
- 13.Podvin D, Kuehn CM, Mueller BA, Williams M. Maternal and birth characteristics in relation to childhood leukaemia. Paediatr Perinat Epidemiol. 2006;20:312–22. doi: 10.1111/j.1365-3016.2006.00731.x. [DOI] [PubMed] [Google Scholar]
- 14.Johnson KJ, Soler JT, Puumala SE, Ross JA, Spector LG. Parental and infant characteristics and childhood leukemia in Minnesota. BMC Pediatr. 2008;8:7. doi: 10.1186/1471-2431-8-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Cnattingius S, Zack MM, Ekbom A, et al. Prenatal and neonatal risk factors for childhood lymphatic leukemia. J Natl Cancer Inst. 1995;87:908–14. doi: 10.1093/jnci/87.12.908. [DOI] [PubMed] [Google Scholar]
- 16.Ajrouche R, Rudant J, Orsi L, et al. Childhood acute lymphoblastic leukaemia and indicators of early immune stimulation: the Estelle study (SFCE) Br J Cancer. 2015;112:1017–26. doi: 10.1038/bjc.2015.53. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Momen NC, Olsen J, Gissler M, Cnattingius S, Li J. Delivery by caesarean section and childhood cancer: a nationwide follow-up study in three countries. BJOG. 2014;121:1343–50. doi: 10.1111/1471-0528.12667. [DOI] [PubMed] [Google Scholar]
- 18.Kaye SA, Robison LL, Smithson WA, Gunderson P, King FL, Neglia JP. Maternal reproductive history and birth characteristics in childhood acute lymphoblastic leukemia. Cancer. 1991;68:1351–55. doi: 10.1002/1097-0142(19910915)68:6<1351::aid-cncr2820680627>3.0.co;2-j. [DOI] [PubMed] [Google Scholar]
- 19.Thomopoulos TP, Skalkidou A, Dessypris N, et al. Prelabor cesarean delivery and early-onset acute childhood leukemia risk. Eur J Cancer Prev. 2015 doi: 10.1097/CEJ.0000000000000151. published online March 19. [DOI] [PubMed] [Google Scholar]
- 20.Francis SS, Selvin S, Metayer C, et al. Mode of delivery and risk of childhood leukemia. Cancer Epidemiol Biomarkers Prev. 2014;23:876–81. doi: 10.1158/1055-9965.EPI-13-1098. [DOI] [PubMed] [Google Scholar]
- 21.Metayer C, Milne E, Clavel J, et al. The Childhood Leukemia International Consortium. Cancer Epidemiol. 2013;37:336–47. doi: 10.1016/j.canep.2012.12.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Brookmeyer R, Liang KY, Linet M. Matched case-control designs and overmatched analyses. Am J Epidemiol. 1986;124:693–701. doi: 10.1093/oxfordjournals.aje.a114443. [DOI] [PubMed] [Google Scholar]
- 23.Hug K, Grize L, Seidler A, Kaatsch P, Schuz J. Parental occupational exposure to extremely low frequency magnetic fields and childhood cancer: a German case-control study. Am J Epidemiol. 2010;171:27–35. doi: 10.1093/aje/kwp339. [DOI] [PubMed] [Google Scholar]
- 24.Miligi L, Benvenuti A, Mattioli S, et al. Risk of childhood leukaemia and non-Hodgkin's lymphoma after parental occupational exposure to solvents and other agents: the SETIL Study. Occup Environ Med. 2013;70:648–55. doi: 10.1136/oemed-2012-100951. [DOI] [PubMed] [Google Scholar]
- 25.Dockerty JD, Skegg DC, Elwood JM, Herbison GP, Becroft DM, Lewis ME. Infections, vaccinations, and the risk of childhood leukaemia. Br J Cancer. 1999;80:1483–89. doi: 10.1038/sj.bjc.6690548. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Greaves M. Childhood leukaemia. BMJ. 2002;324:283–87. doi: 10.1136/bmj.324.7332.283. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.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. Am J Clin Nutr. 2012;95:1113–35. doi: 10.3945/ajcn.111.030254. [DOI] [PubMed] [Google Scholar]
- 28.Amitay EL, Keinan-Boker L. Breastfeeding and childhood leukemia incidence: a meta-analysis and systematic review. JAMA Pediatr. 2015;169:e151025. doi: 10.1001/jamapediatrics.2015.1025. [DOI] [PubMed] [Google Scholar]
- 29.Rothman KJ, Greenland S, Lash TL. Modern epidemiology. 3rd. Philadelphia: Wolters Kluwer Health/Lippincott Williams & Wilkins; 2008. [Google Scholar]
- 30.Infante-Rivard C, Labuda D, Krajinovic M, Sinnett D. Risk of childhood leukemia associated with exposure to pesticides and with gene polymorphisms. Epidemiology. 1999;10:481–87. [PubMed] [Google Scholar]
- 31.Monge P, Wesseling C, Guardado J, et al. Parental occupational exposure to pesticides and the risk of childhood leukemia in Costa Rica. Scand J Work Environ Health. 2007;33:293–303. doi: 10.5271/sjweh.1146. [DOI] [PubMed] [Google Scholar]
- 32.Rudant J, Orsi L, Menegaux F, et al. Childhood acute leukemia, early common infections, and allergy: The ESCALE Study. Am J Epidemiol. 2010;172:1015–27. doi: 10.1093/aje/kwq233. [DOI] [PubMed] [Google Scholar]
- 33.Bartley K, Metayer C, Selvin S, Ducore J, Buffler P. Diagnostic x-rays and risk of childhood leukaemia. Int J Epidemiol. 2010;39:1628–37. doi: 10.1093/ije/dyq162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Brondum J, Shu XO, Steinbuch M, Severson RK, Potter JD, Robison LL. Parental cigarette smoking and the risk of acute leukemia in children. Cancer. 1999;85:1380–88. [PubMed] [Google Scholar]
- 35.Schraw JM, Dong YQ, Okcu MF, Scheurer ME, Forman MR. Do longer formula feeding and later introduction of solids increase risk for pediatric acute lymphoblastic leukemia? Cancer Causes Control. 2014;25:73–80. doi: 10.1007/s10552-013-0309-7. [DOI] [PubMed] [Google Scholar]
- 36.Podvin D, Kuehn CM, Mueller BA, Williams M. Maternal and birth characteristics in relation to childhood leukaemia. Paediatr Perinat Epidemiol. 2006;20:312–22. doi: 10.1111/j.1365-3016.2006.00731.x. [DOI] [PubMed] [Google Scholar]
- 37.Sevelsted A, Stokholm J, Bonnelykke K, Bisgaard H. Cesarean section and chronic immune disorders. Pediatrics. 2015;135:e92–98. doi: 10.1542/peds.2014-0596. [DOI] [PubMed] [Google Scholar]
- 38.Lagercrantz H. Stress, arousal, and gene activation at birth. News Physiol Sci. 1996;11:214–18. [Google Scholar]
- 39.Zanardo V, Solda G, Trevisanuto D. Elective cesarean section and fetal immune-endocrine response. Int J Gynaecol Obstet. 2006;95:52–53. doi: 10.1016/j.ijgo.2006.06.022. [DOI] [PubMed] [Google Scholar]
- 40.Mears K, McAuliffe F, Grimes H, Morrison JJ. Fetal cortisol in relation to labour, intrapartum events and mode of delivery. J Obstet Gynaecol. 2004;24:129–32. doi: 10.1080/01443610410001645389. [DOI] [PubMed] [Google Scholar]
- 41.Magiakou MA, Mastorakos G, Webster E, Chrousos GP. The hypothalamic-pituitary-adrenal axis and the female reproductive system. Ann N Y Acad Sci. 1997;816:42–56. doi: 10.1111/j.1749-6632.1997.tb52128.x. [DOI] [PubMed] [Google Scholar]
- 42.Schmiegelow K, Vestergaard T, Nielsen SM, Hjalgrim H. Etiology of common childhood acute lymphoblastic leukemia: the adrenal hypothesis. Leukemia. 2008;22:2137–41. doi: 10.1038/leu.2008.212. [DOI] [PubMed] [Google Scholar]
- 43.Gaynon PS, Carrel AL. Glucocorticosteroid therapy in childhood acute lymphoblastic leukemia. Adv Exp Med Biol. 1999;457:593–605. doi: 10.1007/978-1-4615-4811-9_66. [DOI] [PubMed] [Google Scholar]
- 44.Ho JT, Al-Musalhi H, Chapman MJ, et al. Septic shock and sepsis: a comparison of total and free plasma cortisol levels. J Clin Endocrinol Metab. 2006;91:105–14. doi: 10.1210/jc.2005-0265. [DOI] [PubMed] [Google Scholar]
- 45.Nickels DA, Moore DC. Serum cortisol responses in febrile children. Pediatr Infect Dis J. 1989;8:16–20. doi: 10.1097/00006454-198901000-00005. [DOI] [PubMed] [Google Scholar]
- 46.Bierman HR, Crile DM, Dod KS, et al. Remissions in leukemia of childhood following acute infectious disease: staphylococcus and streptococcus, varicella, and feline panleukopenia. Cancer. 1953;6:591–605. doi: 10.1002/1097-0142(195305)6:3<591::aid-cncr2820060317>3.0.co;2-m. [DOI] [PubMed] [Google Scholar]
- 47.Kosiewicz MM, Zirnheld AL, Alard P. Gut microbiota, immunity, and disease: a complex relationship. Front Microbiol. 2011;2:180. doi: 10.3389/fmicb.2011.00180. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Macpherson AJ, Martinic MM, Harris N. The functions of mucosal T cells in containing the indigenous commensal flora of the intestine. Cell Mol Life Sci. 2002;59:2088–96. doi: 10.1007/s000180200009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Benveniste J, Lespinats G, Adam C, Salomon JC. Immunoglobulins in intact, immunized, and contaminated axenic mice: study of serum IgA. J Immunol. 1971;107:1647–55. [PubMed] [Google Scholar]
- 50.Bauer H, Horowitz RE, Levenson SM, Popper H. The response of the lymphatic tissue to the microbial flora. Studies on germfree mice. Am J Pathol. 1963;42:471–83. [PMC free article] [PubMed] [Google Scholar]
- 51.Martin R, Nauta AJ, Ben Amor K, Knippels LM, Knol J, Garssen J. Early life: gut microbiota and immune development in infancy. Benef Microbes. 2010;1:367–82. doi: 10.3920/BM2010.0027. [DOI] [PubMed] [Google Scholar]
- 52.Li M, Wang M, Donovan SM. Early development of the gut microbiome and immune- mediated childhood disorders. Semin Reprod Med. 2014;32:74–86. doi: 10.1055/s-0033-1361825. [DOI] [PubMed] [Google Scholar]
- 53.Dominguez-Bello MG, Costello EK, Contreras M, et al. Delivery mode shapes the acquisition and structure of the initial microbiota across multiple body habitats in newborns. Proc Natl Acad Sci USA. 2010;107:11971–75. doi: 10.1073/pnas.1002601107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Jakobsson HE, Abrahamsson TR, Jenmalm MC, et al. Decreased gut microbiota diversity, delayed Bacteroidetes colonisation and reduced Th1 responses in infants delivered by caesarean section. Gut. 2014;63:559–66. doi: 10.1136/gutjnl-2012-303249. [DOI] [PubMed] [Google Scholar]
- 55.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. J Pediatr Gastroenterol Nutr. 1999;28:19–25. doi: 10.1097/00005176-199901000-00007. [DOI] [PubMed] [Google Scholar]
- 56.Fung I, Garrett JP, Shahane A, Kwan M. Do bugs control our fate? The influence of the microbiome on autoimmunity. Curr Allergy Asthma Rep. 2012;12:511–19. doi: 10.1007/s11882-012-0291-2. [DOI] [PubMed] [Google Scholar]
- 57.Ordovas JM, Mooser V. Metagenomics: the role of the microbiome in cardiovascular diseases. Curr Opin Lipidol. 2006;17:157–61. doi: 10.1097/01.mol.0000217897.75068.ba. [DOI] [PubMed] [Google Scholar]
- 58.Honda K, Littman DR. The microbiome in infectious disease and inflammation. Annu Rev Immunol. 2012;30:759–95. doi: 10.1146/annurev-immunol-020711-074937. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Schwabe RF, Jobin C. The microbiome and cancer. Nat Rev Cancer. 2013;13:800–12. doi: 10.1038/nrc3610. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Zijlmans MA, Korpela K, Riksen-Walraven JM, de Vos WM, de Weerth C. Maternal prenatal stress is associated with the infant intestinal microbiota. Psychoneuroendocrinology. 2015;53:233–45. doi: 10.1016/j.psyneuen.2015.01.006. [DOI] [PubMed] [Google Scholar]
- 61.Munyaka PM, Khafipour E, Ghia JE. External influence of early childhood establishment of gut microbiota and subsequent health implications. Front Pediatr. 2014;2:109. doi: 10.3389/fped.2014.00109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.MacDorman MF, Menacker F, Declercq E. Cesarean birth in the United States: epidemiology, trends, and outcomes. Clin Perinatol. 2008;35:293–307. doi: 10.1016/j.clp.2008.03.007. [DOI] [PubMed] [Google Scholar]
- 63.Anon Appropriate technology for birth. Lancet. 1986;2:1387–88. [Google Scholar]
- 64.Betran AP, Merialdi M, Lauer JA, et al. Rates of caesarean section: analysis of global, regional and national estimates. Paediatr Perinat Epidemiol. 2007;21:98–113. doi: 10.1111/j.1365-3016.2007.00786.x. [DOI] [PubMed] [Google Scholar]
- 65.Bat-Erdene U, Metcalfe A, McDonald SW, Tough SC. Validation of Canadian mothers' recall of events in labour and delivery with electronic health records. BMC Pregnancy Childbirth. 2013;13(suppl 1):S3. doi: 10.1186/1471-2393-13-S1-S3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Olson JE, Shu XO, Ross JA, Pendergrass T, Robison LL. Medical record validation of maternally reported birth characteristics and pregnancy-related events: a report from the Children's Cancer Group. Am J Epidemiol. 1997;145:58–67. doi: 10.1093/oxfordjournals.aje.a009032. [DOI] [PubMed] [Google Scholar]
- 67.Zeitlin J, Mohangoo AD, Delnord M, Cuttini M EURO-PERISTAT Scientific Committee. The second European Perinatal Health Report: documenting changes over 6 years in the health of mothers and babies in Europe. J Epidemiol Community Health. 2013;67:983–85. doi: 10.1136/jech-2013-203291. [DOI] [PubMed] [Google Scholar]
- 68.Vassilaki M, Chatzi L, Rasidaki M, et al. Caesarean deliveries in the mother–child (Rhea) cohort in Crete, Greece: almost as frequent as vaginal births and even more common in first-time mothers. Hippokratia. 2014;18:298–305. [PMC free article] [PubMed] [Google Scholar]
- 69.Caughey RW, Michels KB. Birth weight and childhood leukemia: a meta-analysis and review of the current evidence. Int J Cancer. 2009;124:2658–70. doi: 10.1002/ijc.24225. [DOI] [PubMed] [Google Scholar]
- 70.Walsh JM, Hehir MP, Robson MS, Mahony RM. Mode of delivery and outcomes by birth weight among spontaneous and induced singleton cephalic nulliparous labors. Int J Gynaecol Obstet. 2015;129:22–25. doi: 10.1016/j.ijgo.2014.10.029. [DOI] [PubMed] [Google Scholar]
- 71.Parks DG, Ziel HK. Macrosomia. A proposed indication for primary cesarean section. Obstet Gynecol. 1978;52:407–09. [PubMed] [Google Scholar]
- 72.Sokol RJ, Blackwell SC American College of O, Gynecologists. Committee on Practice B-G. ACOG practice bulletin: Shoulder dystocia. Number 40, November 2002. (Replaces practice pattern number 7, October 1997) Int J Gynaecol Obstet. 2003;80:87–92. doi: 10.1016/s0020-7292(02)90001-9. [DOI] [PubMed] [Google Scholar]
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