Early vaccination protects against childhood leukemia: A systematic review and meta-analysis

Abstract

Leukemia is the most commonly diagnosed childhood cancer, although its etiology is still largely unknown. Growing evidence supports a role for infection in the etiology of acute lymphocytic leukemia (ALL), and the involvement of the immune system suggests that vaccination may also play a role. However, the findings presented in the published literature are inconsistent. Therefore, we conducted a PRISMA systematic review and meta-analysis. 14 studies were identified and meta-analyzed. Vaccinations studied comprised Bacillus Calmette-Guérin (BCG) vaccine, Triple vaccine, Hepatitis B vaccine (HBV), Polio, Measles, Rubella, Mumps, trivalent MMR vaccine and Haemophilus influenza type B (HiB) vaccine. We observed a protective association between any vaccination in the first year of life and risk of childhood leukemia (summary odds ratio (OR) 0.58 [95% confidence interval (CI) 0.36–0.91]). When individual vaccines were analysed, some evidence of an association was seen only for BCG (summary OR 0.73 [95% CI 0.50–1.08]). In conclusion, early vaccination appears to be associated with a reduced risk of childhood leukemia. This finding may be underpinned by the association observed for BCG. Given the relatively imprecise nature of the results of this meta-analysis, our findings should be interpreted cautiously and replicated in future studies.

Introduction

Leukemia is the most commonly diagnosed cancer in childhood, representing 31% of all cancer diagnoses¹. Acute lymphocytic leukemia (ALL) and acute myelogenous leukemia (AML) are the most common subtypes. ALL alone accounts for 26% of cancers diagnosed from birth until four years of age. On the other hand, chronic leukemia is considered to be very rare in this age group². Despite the great success in the treatment of ALL where the survival of children has steadily improved reaching 85% in both the United States and Europe, its etiology is still largely unknown³. A recent study by Ward et al. showed that the incidence of childhood acute leukemia in the United States had an annual increase rate of 0.7 percent for ALL and 1.1 percent for AML between 1975 and 2010². However, the cause of this rising incidence has not been identified. Improved diagnostic techniques and improved notifications may partly explain these observed increases.

Various risk factors for childhood leukemia have been identified, such as ionizing radiation during prenatal and postnatal life^4,5, paternal smoking^6–8, exposure to household pesticides⁹ and benzene¹⁰. On the other hand, early exposure to infections may be protective for childhood ALL. This was originally postulated by Greaves in 1997 when he stated that both the pattern and timing of infections in early life is critical to the developmental programming of the immune system¹¹. These immunomodulatory changes start with the passage of the mother’s immunoglobulins through the placenta in early pregnancy and in breast milk which is considered to be the first exposure to bacteria and viruses. He argued that current lifestyles in developed countries characterized by less exposure to infections or early weaning prevent mothers from sufficiently providing immune modulation to their offspring. Moreover, the improvement of hygiene in developed countries decreased the exposure of children themselves to infections. Therefore, when the inappropriately programmed immune system in a genetically predisposed child is exposed to common microbes in an abnormal time frame, it causes an abnormal immunological response thus increasing the risk of leukemia¹¹. A recent meta-analysis of 14 case-control studies using day-care attendance as an indicator of the increased likelihood of early exposure to infections has shown a strong protective association between day care attendance and risk of ALL¹². The growing evidence in support of the role of infection in the etiology of childhood leukemia has led to an interest in a possible role of childhood vaccination.

Published studies have reported contradictory results; studies from USA^13–18, Canada^19,20 and Finland^21,22 have reported a reduced risk of leukemia with Bacille Calmette–Guerin (BCG) vaccination. However, a study in New Zealand²³ showed no effect. After a thorough review of the literature, we aimed to systematically review and meta-analyze the current literature to provide evidence regarding the association between a range of vaccines and the risk of childhood leukemia.

Material and Methods

Search Strategy

Our study was conducted according to the recommendations of the PRISMA statement²⁴ (Supplementary Table 1). We registered the protocol at PROSPERO with the registration number CRD42015024816. In June 14^th, 2015, an electronic search was conducted in nine medical databases/search engines: PubMed, Scopus, Google Scholar, ISI Web of science, WHO Global health library, POPLINE, VHL, NYAM (New York academy of medicine) and SIGLE (System for information on grey literature in Europe). The descriptor used for searching in eight databases, except Google Scholar was: “(immunization or vaccines or vaccine or vaccination or vaccinated or immunized) and (risk or risks or association or correlation or odds) and (leukemia or leukaemia or leukemic or leukaemic) and (child or children or childhood or baby or infant or infants or newborn or neonates or pediatrics or pediatric)”. In Google Scholar, we used the keywords as the exact phrases “childhood leukemia”/ “childhood leukaemia” and “immunization, vaccines, vaccine, vaccination, vaccinated, immunized” with the option with at least one of the words and selected “where my words occur in the title of the article”. For every database, all variants spelled with “s” instead of “z” were covered in the search strategy. In addition, we manually searched the reference lists of relevant articles.

Selection criteria

Studies that reported the association of early vaccination with leukemia in children under 20 years old and vaccines were included in this review with no restriction to language. Exclusion criteria were: (i) unreliably extracted data; (ii) leukemia cases reported in adults; (iii) overlapped data sets; (iv) abstract-only articles, review articles, theses, conference proceedings, books, and case reports. All studies identified were reviewed independently for eligibility by three authors and conflicts were resolved by seeking a discussion and consensus with senior researchers (NTH, EM, KH).

Data extraction

Three independent reviewers extracted the data from the included studies. Any discrepancies were resolved by discussion to reach a consensus or through consulting senior researchers. A form for data extraction was designed for the authors to use. Sample: (author, title, year of publication, journal name, name of the study, study design, country, duration of follow up, sample size, prevalence, age, gender, type of leukemia (eg. ALL, AML, lymphoblastic, myeloblastic), exposure assessment, statistical analysis and risk estimation through the reported odds ratios (OR) and relative risks (RR). Where these had not been estimated and only raw numbers of participants were provided in tables, we estimated crude ORs from the information available.

Quality assessment

The risk of bias of clinical trial^25,26 was independently assessed by two reviewers using “The Cochrane Collaboration’s tool”. It consisted of six specific domains, including: sequence generation, allocation concealment, blinding of participants and personnel, incomplete outcome data, selective outcome reporting, and other sources of bias. The assessment of each domain was categorized as ‘low risk,’ ‘high risk,’ or ‘unclear risk’ of bias by two independent reviewers. Any differences between reviewers were resolved by discussion and by consultation from supervisor to reach a consensus if needed. Methodological quality assessment of observational studies^{14,15,17,19,22,23,27–32} was performed by using the risk of bias assessment tool of the “Cancer Council Australia”³³. The metrics of this tool were as follows: subject selection (which included sub-metrics for case selection, control selection, and adequacy of case definition), comparability of groups on demographic characteristics and important potential confounders, ascertainment of exposure/treatment, and follow-up.

Statistical methods

Quantitative synthesis with meta-analysis was performed using Comprehensive Meta-analysis software version 2.0 (Biostat, New Jersey, USA). Summary odds ratios (ORs) and 95% confidence intervals [CIs] were computed for individual vaccines when there were two or more studies providing results for the association between that specific vaccine and risk of childhood leukemia. Heterogeneity between studies was assessed using the Q statistic and I-squared tests. Heterogeneity was considered statistically significant if the P-value was < 0.1 or I-squared value was > 50%^34,35. Random and fixed effects models were used depending on the heterogeneity among the studies.

When there were ten or more studies of a particular vaccine, we performed meta regression for moderators to examine the potential effects of study characteristics on the summary effect measure. Subgrouping of early/late and type of vaccination was performed to examine the effect of age at vaccination and type of infection on risk of leukemia. The effect of study characteristics on the summary OR was considered significant when the p-value was less than 0.05³⁶. Publication bias was evaluated by funnel plot and Egger’s regression where there were five or more studies assessing the effect of a particular variable. Publication bias was considered significant when the P-value was < 0.1. The Duvall and Tweedie’s trim-and-fill method was used to increase symmetry by adjusting for studies that appeared to be missing in the presence of publication bias^37–39.

Results

Literature search and study characteristics

A total of 899 reports were included for title and abstract screening after automatic removal of duplicates in author, title, and date with Endnote software, and 39 articles were considered for full text reading. Only eight articles matched our selection criteria. The manual search of references also provided additional six reports. Among studies which were excluded from the manual search, there were two studies that did not provide a non-leukemic group^40,41, two studies enrolled patients at more than 20 of age^42,43, one study had overlapping participants⁴⁴ and one study was a conference paper⁴⁵. Hence, the total number of articles for final analysis was 14. Detailed characteristics of included studies are shown in Table 1. Twelve of the included studies were observational^{14,15,17,19,22,23,27–32}, and two were clinical trials^25,26 (Fig. 1). The results of meta-analysis of childhood leukemia and different types of vaccines are shown in Table 2.

Table 1.

Basic characteristics of included studies.

Author/Year/Ref	Country	Leukemia			Vaccination
		Type	Number	Method of Diagnosis	Type	Time
Crispen/1976	USA	ND	85356	ND	BCG	ND
Dockerty/1999	New Zealand	ALL	121	ND	BCG, MMR, Measles, Rubella, Oral Polio, DPT, Double vaccine, Hepatitis B	BCG: 3 months, 6 years, Measles: within 1 year
Nishi/1989	Japan	ALL	63	ND	BCG and Measles	1st and 2nd year
Groves/1999	USA	ALL	439	ND	MMR,Oral Polio, DPT, Tetanus, Diphteria, Hib polysaccharide and conjugate, Hepatitis B	ND
Von Kries/2000	Germany	AL	129	ND	BCG, MMR	BCG: at birth, MMR: after 1 year
MacArthur/2007	Canada	ND	399	Hematology, Pathology	Mumps, Measles, Rubella, Diphtheria, Pertussis,Tetanus, Polio, Hepatitis, BCG, and others	1st and 2nd year
Mallol.Mesnard/2007	France	AML, ALL, AL	726	Bone marrow analysis	BCG, Diphtheria, Tetanus, Poliomyelitis, Pertussis, Hepatitis B, Hib, Pneumococcus, Meningococcus, Measles, Mumps, Rubella	1st and 2nd year
Ma/2005	USA	ND	323	ND	DTP, MMR, Polio, Hepatitis B, and Hib	ND
Petridou/1997	Greece	ND	153	ND	DTP, BCG, Virus vaccines	At birth
Salonen/1976	Finland	ND	368	Pathology, Clinical	BCG	1–18 year
Comstock/1975	USA	ND	98	ND	BCG	ND
Davignon/1971	Canada	ND	96	ND	BCG	ND
Máthé/1974	France	ND	130	ND	BCG	ND
Sutherland/1982	England	ND	28	ND	BCG, vole-bacillus	ND

Figure 1.

PRISMA flow diagram of studies’ screening and selection.

Table 2.

Meta-analysis of the association of childhood leukemia with different types of vaccines from fourteen included studies.

Type of vaccines	No. of study	Total sample size (Leukemia/Control)	Heterogeneity		Model	Association with leukemia		Egger’s 2-tailed bias p-value
			p-value	I 2		p-value	Odds ratio (95% CI)
Early vaccination	7	3000/3719581	0.0001	77.9	Random	0.019	0.58 (0.36–0.91)	0.60
BCG vaccines	12	3778/3760815	0.0001	77.7	Random	0.117	0.73 (0.50–1.08)	0.47
Mumps vaccines	4	3431/4999	0.98	0	Fixed	0.95	1.01 (0.82–1.23)	0.54
Hib vaccines	3	2528/4004	0.001	84.6	Random	0.83	1.06 (0.64–1.76)	0.89
HBV vaccines	5	2266/3906	0.67	0	Fixed	0.95	1.00 (0.85–1.18)	0.69
Triple vaccines	4	1986/2714	0.2	35.1	Fixed	0.56	1.10 (0.79–1.53)	0.99
Poliosip vaccines	4	2390/2769	0.99	0	Fixed	0.93	0.98 (0.70–1.39)	0.29
MMR vaccines	4	2302/2667	0.98	0	Fixed	0.78	0.96 (0.75–1.24)	0.85
Measles vaccines	6	3715/5627	0.02	59.1	Random	0.81	1.02 (0.85–1.23)	0.23
Rubella vaccines	5	3548/5267	0.96	0	Fixed	0.98	1.00 (0.82–1.23)	0.10

^IPooled odds ratios (OR) with corresponding 95% confidence intervals (95% CI) of the pooled results were calculated where more than one study had investigated the factor.

Quality assessment

Using the Cochrane collaboration’s assessment tool, the two clinical trials^25,26 were of unclear risk of bias regarding allocation concealment and sequence generation while the domain of incomplete outcome data were at low risk. According to Cancer Council Australia’s quality assessment tool of case control studies^{14,15,17,19,22,23,27–32}, at least two out of six domains were at low risk of bias for all case control studies. Every article has more than three domains were at low risk of bias except for the study of Nishi et al.³⁰. However, the overall quality of evidence in this systematic review is low and the results should be interpreted cautiously (Supplementary Table 2A and Supplementary Table 2B).

Early vaccination

The association between childhood leukemia and early vaccination, which included BCG vaccine, DPT vaccine, double vaccine and HBV vaccine given within the first year of life, was meta-analyzed. The summary ORs for receiving any type of vaccine in the first year of life (based on seven studies)^{14,22,23,27,28,30,32} was 0.58 [95% CI 0.36–0.91] (Fig. 2). There was significant heterogeneity among included studies (p < 0.1, I² = 78%,), but no publication bias was seen (Supplementary Fig. 1); Egger’s test P value was 0.3.

Figure 2.

Forest plot showing results of meta-analysis of association of early vaccination with childhood leukemia. Cl: confidence interval.

BCG vaccine

Twelve studies were included in the meta-analysis of the association between BCG vaccine and childhood leukemia^{14,19,22,23,25–32}. Using a random-effects model, the summary OR was 0.73 [95% CI 0.50–1.08] (Fig. 3). Our subgroups analysis by age at BCG vaccination revealed that both early vaccination (less than one year old) (summary OR 0,64; 95% CI [0.4–1.01])^{14,22,23,27,28,30,32} and later vaccination (summary OR 0.26; 95% CI 0.04–1.63)^25,26 were associated with a lower risk of childhood leukemia, although the latter estimate lacked precision as there were only two studies. There was no evidence of association when the timing of vaccination was not reported^19,29,31 (Fig. 4). A meta-regression revealed little effect of publication year on the association of BCG vaccination and childhood leukemia (coefficient 0.02, 95% CI [−0.005, 0.045], p value = 0.06) (Supplementary Fig. 2).

Figure 3.

Forest plot showing results of meta-analysis of association of BCG vaccination with childhood leukemia. Cl: confidence interval.

Figure 4.

Forest plot showing subgroup analysis of association between early BCG vaccination and childhood leukemia. Cl: confidence interval.

Mumps vaccine

Meta-analysis of five studies showed no evidence of any association between mumps vaccination and childhood leukemia (summary OR 1.01 [95% CI 0.82–1.23])^{15,17,19,23,28}. However, mumps vaccine was given alone in only one study²⁸ and in a combined vaccination in four others^15,17,19,23 so we could not perform a subgroup analysis (Supplementary Fig. 3).

HiB vaccine

Meta-analysis of three studies^15,17,28 revealed no association between HiB vaccination and childhood leukemia (summary OR 1.06 [95% CI 0.64–1.76]) (Supplementary Fig. 4).

HBV vaccine

Four data sets were included in the meta-analysis of the association between HBV vaccination and childhood leukemia^17,19,23,28. The result indicated that there was no association (summary OR 1.00 [95% CI 0.85–1.16]) (Supplementary Fig. 5).

Triple vaccine

Triple vaccine is a combination of diphtheria, tetanus and pertussis (DPT) vaccines. Meta-analysis of four studies^15,17,23,31 revealed no association between Triple vaccine and childhood leukemia risk (summary OR 1.1 [95% CI 0.79–1.53]) (Supplementary Fig. 6).

Polio sip vaccine

Four datasets were included in the meta-analysis of the association between Polio vaccination and childhood leukemia risk^19,24,28,29. The summary OR was 0.98 [95% CI 0.70–1.39] (Supplementary Fig. 7).

MMR vaccine

Four studies were included in the meta-analysis of the association between trivalent MMR vaccine and childhood leukemia^19,24,28,29. No association was seen (summary OR 0.96 [95% CI 0.75–1.24]) (Supplementary Fig. 8).

Measles vaccine

There were six studies of the association between measles vaccination and childhood leukemia^{15,17,19,23,28,30}. They provided seven datasets, as one study²³ reported measles vaccine given both alone and in trivalent vaccine of MMR. No significant association between measles vaccine and leukemia was found (summary OR 0.96 [95% CI 0.71–1.30]). A subgroup meta-analysis was performed to investigate whether the association was affected by type of injection (alone or combined). No evidence of an association was seen in either subgroup (summary ORs were 0.84 [95% CI 0.39–1.83] and 1.02 [95% CI 0.66–1.59] respectively) (Supplementary Fig. 9).

Rubella vaccine

Meta-analysis of six datasets available from five studies^{15,17,19,23,28} revealed no evidence of an association between rubella vaccine and leukemia risk (summary OR 1.00 [95% CI 0.82–1.23]). Subgroup analysis indicated that rubella vaccination was not associated with leukemia risk whether given alone or in combined trivalent MMR vaccine (Supplementary Fig. 10).

Discussion

Our meta-analysis indicated that receiving any type of vaccine in the first year of life may be protective against childhood leukemia. When specific types of vaccine were separately analyzed, however, only the analysis of BCG revealed at least some evidence of a reduced risk. Because BCG is given early, it was not possible in this study to separate any potential protective effect of early vaccination from BCG vaccination itself. However, a protective association with BCG cannot be ruled out, given that no other individual vaccine was associated with a reduced risk of leukemia in this meta-analysis.

The protective association we observed between early vaccination (and/or BCG) and risk of childhood leukemia overall may involve similar biological pathways to those underlying the apparent reduction in leukemia risk associated with day-care attendance¹². Similar to the potential for common infections during day-care attendance, exposure of children to microbial pathogen in vaccines early in life may mimic the role of infections in triggering the response of the naïve immune system. Schmiegelow et at proposed the hypothalamus-pituitary-adrenal axis hypothesis in which infections at early stage of life may alter plasma cortisol levels⁴⁶. This can result in elimination of leukemic cells and reduce the risk of ALL^46,47. Moreover, there is evidence that vaccines, both viral and bacterial, also have the ability to raise the plasma cortisol^48–51. Thus, the adrenal hypothesis may explain in immunological terms the association between early vaccination and risk of leukemia. Such a mechanism would also be consistent with Greaves’ delayed-infection hypothesis⁵². However, this does not explain why BCG – but none of the other specific (mostly viral) vaccines – appeared to be associated (albeit weakly) with a reduction in leukemia risk.

Heterologous (or “off-target”) effects of BCG vaccination in children have been consistently observed^53,54; outcomes for which there is some evidence of a protective include all-cause infant mortality^32,53 and childhood cancer³². The biological pathways involved are unclear, but are thought to involve lymphocyte activation and/or innate immune memory that could promote protection beyond the intended target pathogen. Potential mechanisms are discussed in detail by Goodridge et al.⁵³. In addition, many animal studies have reported beneficial effects of BCG in enhancing the immune response to unrelated pathogens⁵⁵ and tumours. Theorically and practically, BCG vaccine has been utilized as an immunotherapy for a certain cancer^56–58. The mechanism in which BCG vaccine ameliorates effectively cancer was not well-explored. Several studies investigated the alteration of different types of cytokines by BCG vaccine^59–62, such as Th1’s cytokines (IFN-γ, TNF-α, IL-12) and Th2’s cytokines (IL-10, IL-4). These substances play roles in regulation of natural killer cells, macrophages or cytotoxic T lymphocytes cells⁶¹, which have antitumor effects. In addition, the antitumor activity of BCG vaccine through activating human dendritic cells, an antigen-present cells, has been studied^63–67. This process was mediated by modulation of several cytokines such as IL2, IL10 and IFN gamma⁶⁷. Taking specific antileukemia effect into consideration, studies were performed and their findings were promising. Jang et al.⁶⁵ investigated the activity of dendritic cells of pediatric leukemia patients exposed by BCG, the result revealed an enhanced proliferation and maturation status. Recently, a BCG-derived heat shock protein, named HSP70, was investigated. Findings from animal and in vitro studies demonstrated an elevated immunogenicity effects against leukemia cells^68,69.

Strengths

To the best of our knowledge, this is the first comprehensive systematic review and meta-analysis investigating the association between vaccination and childhood leukemia. All steps of this systematic review and meta-analysis were conducted in strict accordance with the Cochrane handbook of systematic reviews⁷⁰ and reported according to the recommendations of the PRISMA statement²⁴. Moreover, stratification according to time of vaccination (for BCG vaccination) and type of vaccination (with early vaccination, Measles vaccine and Rubella vaccines) was further examined.

Limitations

Although our systematic literature search was conducted on nine electronic libraries, the number of studies included in the final analysis was limited and it was not possible to conduct our meta-analysis by leukemia subtype. Furthermore, most of the included studies were observational. We were unable to evaluate the effects of several confounders such as prenatal and postnatal care, the nutrient supplies, and the microorganism exposure on the pooled results due to the lack of such information in the included studies. Further, some of the observational studies provided raw data only, from which we estimated crude study-specific ORs. Observational studies are subject to biases such as selection and recall bias. Except for Salonen 1976²² which was at moderate risk of bias, the six remaining studies were at high risk of bias. However, these biases (if present) would most likely have similarly affected the results for all types of vaccinations, not just early vaccination and/or BCG itself. We acknowledge that the association seen with BCG vaccination was not statistically significant; however, this was likely due to a lack of statistical power and a relevant protective association remains a possibility. While seven studies reported early vaccination, four studies were before 1990 and only two were in 21^st century; this led to some heterogeneity. Most studies reporting BCG vaccines were conducted before the 1980s. The design of those studies was not appropriate for evaluating the effect of BCG vaccination in risk of leukemia, because clinical trials were predominantly designed for protecting against tuberculosis. Additionally, three of them, which contained a large number of participants, reported leukemia deaths rather than leukemia cases^14,26,27.

The change in vaccine schedule is worthy of note. According to Center for Disease Control and Prevention (CDC), many vaccines have currently been used for children at birth, such as HBV, or within the first year, such as DTA, Rotavirus, or Haemophilus influenza type b. These changes may alter the potential effect of early vaccine on childhood leukemia risk. Further studies should investigate the impact of these shifts in vaccine policy.

Conclusion

Our comprehensive systematic review and meta-analysis indicated that the early vaccination may reduce the risk of childhood leukemia, and this finding may be attributable to BCG vaccination. Replication of this finding is important, and its impact in the context of changing vaccination policy should be carefully evaluated.

Author Contributions

N.T.H., M.E.M., K.N.D. contributed to study design, data analysis and writing manuscript. A.E., O.A.M., A.L.E., O.H., A.M.M., T.L.H.V., C.H. contributed to searching databases, screening articles and extracting data. A.S.F., A.P.P., W.M.A., M.M. contributed to preparing tables, figures and writing manuscript, E.M., K.H., N.T.H. contributed to data analysis and approved the manuscript.

Competing Interests

The authors declare that they have no competing interests.