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Infant Acute Leukemia and Maternal Exposures during Pregnancy

¹ Division of Experimental Medicine, Research Center, Instituto Nacional de Câncer and ² Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil

Requests for reprints: Maria S. Pombo-de-Oliveira, Instituto Nacional de Câncer, Centro de Pesquisa, Rua André Cavalcanti 37, CEP 20231-050, Rio de Janeiro, Brazil. Phone: 55-21-3233-1324; Fax: 55-21-3233-1470. E-mail: mpombo{at}inca.gov.br

	Abstract

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Infant acute leukemia (IAL) has a unique profile characterized by the high incidence of translocations involving the MLL gene located at the 11q23 region. To test the potential role of intrauterine and perinatal factors linked to the risk of IAL development, a hospital-based case-control study was conducted in different cities of Brazil. A total of 202 children (ages 0-21 months) with newly diagnosed IAL was enrolled (1999-2005), and 440 age-matched controls were selected from the same hospitals wherein IAL cases were treated. A statistically significant association between maternal use of hormones during pregnancy and IAL was observed [odds ratio (OR), 8.76; 95% confidence interval (95% CI), 2.85-26.93] in a multivariable analysis. The association of certain exposures during pregnancy (hormones, dipyrone, metronidazole, and misoprostol) and MLL gene rearrangements was tested using a case-case approach. Despite the lack of statistical significance, the magnitude of the OR for maternal exposure to dipyrone (OR, 1.45; 95% CI, 0.75-2.86), metronidazole (OR, 1.72; 95% CI, 0.64-4.58), quinolones (OR, 2.25; 95% CI, 0.70-25.70), and hormones (OR, 1.88; 95% CI, 0.50-7.01) may suggest the occurrence of interactions between such maternal exposures during pregnancy and MLL rearrangements, yielding into IAL development. The strong and statistically significant association between IAL and estrogen exposure during pregnancy observed in this study deserves further investigation to investigate its role in intrauterine leukemogenesis. (Cancer Epidemiol Biomarkers Prev 2006;15(12):2336–41)

	Introduction

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The understanding of leukemogenic pathways in childhood has been improved markedly by identification of a series of critical and consistent mutations occurring during pregnancy (1, 2). The causes of these genetic alterations are not known, but the different pediatric leukemia subtypes are thought to have distinct etiologies (3). Most cases of infant acute leukemia (IAL) have rearrangements involving the MLL gene at region 11q23 and arise in utero as confirmed by retrospective analyses of neonatal blood spots of affected infants (1, 4). This biologically and clinically unique leukemia (5-7) has an extremely short latency period. Moreover, MLL fusions resemble those found in secondary acute myelogenous leukemia resulting from exposure to topoisomerase II (topo-II) inhibitors. This has led to the proposal that inadvertent exposure to biochemically similar topo-II inhibitors during pregnancy may be involved in the causation of IAL (8, 9). Given the rarity of this leukemia, there have been very few epidemiologic studies focused especially on IAL with MLL fusions (10).

Nevertheless, in an international collaborative study, significant associations between exposures to DNA-damaging drugs and mosquitocidals during pregnancy and MLL^+ve, but not MLL^–ve, leukemia were noted (11). However, because there were few molecularly classified cases in this study, further independent analysis was needed to confirm or refute these apparent associations (11).

We conducted a case-control study in Brazil to explore the hypothesis that certain environmental exposures could increase the risk of IAL with MLL gene rearrangements. In this report, we present the preliminary data exploring the association of maternal exposure to environmental risk factors and IAL.

	Materials and Methods

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Study Population
The Brazilian Collaborative Study Group of Infant Acute Leukemia is a national cooperative group supported by Instituto Nacional de Câncer-Ministério da Saúde (Rio de Janeiro, Brazil) and by a network of academic medical centers and hospitals located in 10 different states in Brazil as listed in Appendix A. Fifteen institutions and >45 physicians from different Brazilian cities enrolled patients (cases and controls) to this study. Participants were recruited from hospitals situated in the following cities: Rio de Janeiro, Campinas, Belo Horizonte, Salvador, Recife, João Pessoa, Brasília, Goiania, and Florianópolis, Santa Maria, and São Paulo. We estimate that 91% of the ascertainment of IAL cases for each Brazilian participating region were notified to the Brazilian Collaborative Study Group of Infant Acute Leukemia during the period of the study. This estimate was ascertained taking into account data provided by the population-based cancer registries established in all Brazilian regions.

Epidemiologic Design
A hospital-based case-control study was conducted to evaluate the magnitude of association between IAL exposure to selected environmental risk factors during pregnancy. The association between MLL rearrangements and selected environmental exposures was also explored using either a case-case study (12) or a case-only study approach (13).

Case Definition
Cases were eligible if (a) they were diagnosed with acute lymphoblastic leukemia or acute myelogenous leukemia according to standard classifications (14) at age 21 months and (b) bone marrow aspirates were available for immunophenotyping and molecular analysis. The cut point of 21 months for eligibility was determined with consideration to the frequent delay in identification of acute leukemia in some areas of Brazil. Had cases been limited to those diagnosed at <1 year of age, there would have been a significant loss for those with MLL gene rearrangements. The analyses to characterize MLL status were done by conventional karyotype, by reverse transcription-PCR assay, and/or by fluorescence in situ hybridization. Details of the immunophenotyping and molecular data of this study are described elsewhere (15).

Control Selection
All controls were age frequency matched with IAL cases selected among hospitalized children in the same regional hospitals. The mothers of the controls were approached for participation when the case was still hospitalized. Controls that presented with severe life-threatening conditions to minimize recall bias were selected. The pathologies included were the following: trauma (n = 28, 6.3%), cardiopathy (n = 40, 9.1%), infectious diseases (n = 87, 19.7%), metabolic disorders (n = 18, 4.1%), neurologic diseases (n = 16, 3.6%), sickle cell anemia (n = 56, 12.7%), nonsyndrome defects (n = 18, 4.1%), allergy/asthma (n = 64, 14.5%), pneumonia (n = 72, 16.3%), nutritional disturbances (n = 30, 6.8%), and seizures (n = 12, 2.7%).

Exclusion Criteria
Cases and controls presenting clinical syndromes resulting from chromosomal abnormalities, such as Down syndrome, and other selected conditions, such as myelodysplastic syndrome, Fanconi anemia, Bloom syndrome, ataxia telangiectasia, and neurofibromatosis, were excluded. The absence of a well-established diagnosis and the inaccessibility to the biological mother and/or children >21 months at diagnosis were also exclusion criteria from the study enrollment.

Race Criteria
The Brazilian population has a historical background of intensive intermarriage among different ethnic groups, and consequently, ethnic/race stratification is very difficult to characterize by applying the same criteria usually used elsewhere. Skin color denotes the Brazilian equivalent of the English term "race" and is based on a complex phenotypic evaluation that takes into account besides skin complexion, hair type, and nose and lip shape. In this study, we categorized the children by skin color as whites, intermediates, and blacks according to criteria described by Parra et al. (16).

Data Collection
Mothers were interviewed in person in the hospital with the aid of a well-structured questionnaire divided in two major sections. The first part of the questionnaire was devoted to childbirth and nursing and the second part of the questionnaire to exposures during pregnancy. Questions about demographics included family income, maternal age, and education level. Maternal history of diseases and reasons for use of medications were obtained from questions about the use of different types of drugs taken due to infectious illnesses, previous fetal loss threat, anemia, backache, etc. [e.g., antibiotics, herbal medicines, vitamins, pain killers, and hormones (oral contraceptives, hormones for pregnancy retention, and thyroid hormones)]. This analysis included information about maternal exposures during the 3 months before the index pregnancy, during the index pregnancy, and during nursing of the index child.

The mothers of 96% of IAL cases and 95% of potential controls consented to interview. The median (range) of the interval between the dates of IAL diagnoses and the date of mothers' interviews was 9 (0.1-36) months.

Ethical Aspects
All collaborating institutions approved the study protocol, and a written consent was obtained for diagnostic procedures and interview.

Statistical Analysis
Statistical analyses on the association between exposure to selected environmental variables and IAL during the period of index pregnancy were carried out toward the use of unconditional logistic regression with regular methods implemented by the Statistical Package for the Social Sciences version 13 (SPSS, Chicago, IL). All analyses were adjusted for region of residence, sex, income, maternal age, and birth weight. Results are expressed as odds ratios (OR) with 95% confidence intervals (95% CI), and all P values are two sided. Case-control analyses were conducted for combined IAL and IAL stratified by MLL gene status as a case-case analysis (12). The association between MLL rearrangements and selected variables was ascertained using ORs and 95% CI adjusted for the aforementioned variables.

	Results

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The study accrued 642 subjects (202 cases and 440 controls), with enrollment starting in January 1999 and ending in July 2005. The main demographic characteristics of IAL cases and controls distribution are summarized in Table 1 , and the geographic origins of the cases and controls are outlined in Fig. 1 . According to age at enrollment, 51.0% of cases and 59.5% of controls were ages 15 months (P = 0.04). Mean age at diagnosis in the study was 12.9 months for IAL cases, and mean age at entry into the study was 14.1 months for controls (P = 0.580). A higher proportion of white children were observed among IAL cases (52.5%) than controls (35.6%; P < 0.0001).

View larger version (26K): [in this window] [in a new window]   Figure 1. Distribution of cases and controls (ratio) by geographic regions, Brazil, 1999-2005.

There were 140 cases of acute lymphoblastic leukemia, mainly B-cell precursors, and 62 cases of acute myelogenous leukemia, whose immunophenotypes and MLL status are described elsewhere (15). The highest frequency of MLL rearrangements was found in pro-B acute lymphoblastic leukemia (P < 0.001). Other chromosomal abnormalities, such as TEL/AML1, AML1/ETO, and PML/RARA, were also detected in this series of IAL cases, but the frequency distribution was too small for individual associations with risk factors (15).

The results of the main variables related to exposures during pregnancy of IAL cases and controls are shown in Table 2 . Maternal exposure to smoking tobacco or marijuana and alcohol intake during pregnancy (OR, 0.87; 95% CI, 0.63-1.21) were not associated with IAL in this study. Medication consumption ascertained according to the reason for use during the pregnancies was explored. These medications included vitamins, pain relievers, antibiotics for urinary or respiratory tract infections, antiemetics, antidiarrheas, antifungal, fertility medications or abortive drugs, and herbal medicines.

Results for maternal exposure during pregnancy to domestic pesticides and dipyrone reveal a moderate statistically significant association with IAL (Table 2). Joint exposure to dipyrone and metronidazole during pregnancy, reported by 54 mothers, was tested and revealed no association (OR, 1.05; 95% CI, 0.32-3.41).

In the multivariable analysis using logistic modeling, the environmental exposures that showed statistically significant association with IAL were the following: hormones (OR, 8.76; 95% CI, 2.85-26.93), pesticides at home (OR, 2.18; 95% CI, 1.53-2.13), and dipyrone (OR, 1.4; 95% CI, 1.02-2.06).

Hormonal exposure before and during pregnancy was associated to IAL compared with controls, both with and without MLL gene rearrangements. The mothers of 18 cases reported the consumption of hormones during pregnancy: 12 (66.7%) of them as oral contraceptives, 4 (3.2%) as thyroid hormones, and 2 (1%) as therapeutic drugs for pregnancy retention. We also explored whether the timing of the exposure (pregnancy trimester) would be associated with IAL risk magnitude, and for most medications, the direction of the OR remained similar to the overall OR, although a small decrease in risk estimates was observed in the second and third trimester in MLL^+ve cases (Table 3 ). The highest magnitudes of association were observed for consumption of hormones during the first trimester of pregnancy [OR, 11.35 (95% CI, 3.20-40.20) for all IAL cases; OR, 10.57 (95% CI, 2.33-47.91) for MLL^+ve cases; and OR, 7.55 (95% CI, 1.50-37.94) for MLL^–ve cases]. An association between MLL^–ve and hormonal exposure during the first trimester of pregnancy (OR, 7.55; 95% CI, 1.50-37.94) was also observed. In the case-case approach, the associations of dipyrone, metronidazole, quinolones, and hormones with MLL rearrangements showed ORs higher than the unity, without statistical significance (Table 4 ).

	Discussion

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There were no major differences in this study about the distributions of demographic features among Brazilian regions. However, the overrepresentation of cases in the southeastern cities and the vast difference in the numbers of controls and cases in the highest population density areas are explained by the easier access to health care and by health care practices. Brazilian health care is public and available to all members of the population by law. Because private hematology-oncology care is very expensive, even affluent people make use of the public health care. However, for less expensive treatments, the middle and upper classes turn to private institutions. This socioeconomic phenomenon may explain why we have a more "deprived" control population. The concern about introducing bias in the maternal hormone result, as the more affluent group (cases) might have better access to health care/contraception, should be ruled out because birth control pills are distributed freely in the public heath care system. Although a higher proportion of white children were observed among cases than controls (P < 0.0001), we consider that such statistical difference should be analyzed cautiously considering the intense genetic mixing of the Brazilian population (16). Several interviewers in the different participation centers carried out the characterization of skin complexion, presenting subjective variability in such classification procedures. Therefore, the results observed in this study must be analyzed prudently for the aforementioned reasons. We believe that maternal education and income distribution in cases and controls reflect the social environment experienced by all participants more so than the ethnic profile.

Lower socioeconomic status, as measured by income and maternal education, was associated with an increased risk of IAL, which is similar to previous reports in a more developed country (18). These results contrast with children ages >24 months from middle and upper classes who tend to have an increased risk of developing common acute lymphoblastic leukemia associated with overprotection and high living standards (4, 19). This difference is plausible and can be explained by the inadvertent exposure to environmentally harmful compounds among mothers with lower education/income status and generally less knowledge about health risk factors in general.

As a whole, this study suggested that some environmental exposures during pregnancy might yield an increased risk of IAL in offspring. A markedly higher statistically significant risk was observed for hormonal exposure during pregnancy (OR, 8.76; 95% CI, 2.85-26.93), which deserves further scrutiny. A positive association with maternal exposure to dipyrone and household pesticides and IAL offers support for previous studies (11, 20). Dipyrone consumption during pregnancy was previously found to be associated with Wilms' tumor (21) and was found in this study to be associated with IAL with MLL rearrangements, suggesting that dipyrone should be considered hazardous during pregnancy, especially in Brazil where it is a cheap compound and may show a high attributable risk for childhood malignancies (11, 21).

The mechanisms of leukemogenesis in IAL are related to the fact that the growing fetus is more sensitive to the effects of potential DNA damage insults during the early stage of pregnancy. The gene fusion resulting from chromosomal translocation is assumed to be the initiating event in leukemogenesis (2, 3). Because reciprocal rearrangements of the MLL gene are the most common genetic feature in IAL, it is important to understand how these fusion genes might possibly have originated as an effect of transplacental exposures. It is well known that chemotherapeutic drugs that target topo-II, which inhibit the resealing of broken DNA strand ends, trigger the formation of MLL translocations (22). Among the topo-II inhibitors are benzene metabolites, such as benzoquinone, isoflavones, anthraquinone, and quinolone antibiotics (8). The potential role of exogenous estrogens in breast cancer studies was shown in descriptive studies and in experimental models, pointing out that the results of the DNA damage were induced by their metabolites causing mainly single-strand breaks (23-25). As the metabolite products in the estrogen biosynthesis are semiquinone and quinone, a pathway mimicking the same topo-II inhibitors could explain the high association found in this series of IAL.

Although it is speculated that the gene fusion resulting from MLL rearrangements in infant acute lymphoblastic leukemia might occur in a restricted period of the beginning of B lymphopoiesis, clonotypic DJ rearrangements of the immunoglobulin heavy chain genes indicate that the second event leading to overt leukemia could happen at a later time during fetal development (26). The association between hormonal exposure either before or during pregnancy and MLL status, ascertained using a case-case approach (12), revealed an association in all studied periods, although higher during the first trimester of pregnancy. However, due to the diversity of MLL gene rearrangements with several gene partners, false-negative results could occur and this misclassification would artificially decrease the magnitude of association (27).

The present study provides evidence that hormone exposure during pregnancy should be studied in more depth as cause-effect in utero leukemogenesis.

	Appendix A. Brazilian Collaborative Study Group of Infant Acute Leukemia

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Members: Paulo Ivo C. Araújo,³ Dora Márcia Alencar,⁴ Silvia R. Brandalise,⁵ Eni Guimarães Carvalho,⁶ Virginia M. Coser,⁷ Imaruí Costa,⁷ José Carlos Córdoba,⁸ Mariana Emerenciano,¹ Jane Dobbin J,¹ Maria Célia Moraes Guerra,³ Venâncio Gumes Lopes,⁴ Isis Q. Magalhães,⁸ Núbia Mendonça,⁴ Andrea Gadelha,⁹ Gilson Guedes,⁹ Flávia Pimenta,⁹ Vitória P. Pinheiro,⁵ Waldir Pereira,⁷ Gilberto Ramos,¹⁰ Terezinha J.M. Salles,¹¹ Denise Bousfield da Silva,¹² Marcelo P. Land,³ Elaine Sobral,³ Fernando Werneck,¹³ Carlos Scridelli,¹⁴ Luis Gonzaga Tone,¹⁴ Lincoln Vermondi,¹² Luis Fernando Lopes,¹⁵ Wellinghton Mendes.¹⁵

Affiliations:

1. Centro de Pesquisa, Instituto Nacional de Câncer, Rio de Janeiro, Brazil
   
2. Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil
   
3. Instituto de Pediátria e Puericultura Martagão Gesteira, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil
   
4. Sociedade de Oncologia da Bahia, Salvador, Bahia, Brazil
   
5. Centro Infantil de Investigações Hematológicas D. Boldrini, Campinas, São Paulo, Brazil
   
6. Hospital Martagão Gesteira, Salvador, Bahia, Brazil
   
7. Departamento de Hematologia, Universidade de Santa Maria, Rio Grande do Sul, Brazil
   
8. Hospital de Apoio Brasília, Unidade de Onco-Hematologia Pediátrica, Brasília, Brazil
   
9. Hospital Napoleão Laureano, João Pessoa, Paraiba, Brazil
   
10. Departamento de Pediatria da Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
    
11. Hospital Oswaldo Cruz, Centro de Oncologia Pediátrica, Recife, Pernambuco, Brazil
    
12. Serviço de Oncologia do Hospital Joana de Gusmão Florianópolis, Santa Catarina, Brazil
    
13. Departamento de Pediatria, Hospital dos Servidores do Estado do Rio de Janeiro, Rio de Janeiro, Brazil
    
14. Departamento de Pediatria, Hospital das Clinicas, Ribeirão Preto, São Paulo, Brazil
    
15. Hospital do Câncer AC Camargo, São Paulo, Brazil
    

	Acknowledgments

 
We thank the mothers who, despite having the dramatic experience of seeing their children suffer, have dedicated their time to answering the questionnaires (the success of the Brazilian Collaborative Study Group of Infant Acute Leukemia has depended on their help); Alessandra Faro and Marcos Thanus for data set organization and secretarial assistance; Eliane Esteves and Marina P. Oliveira for interviewing assistance; Prof. Mel Greaves for his comments and suggestions; and Jozina Aquino, Reinaldo Del Belo, Ricardo Bigni, Lilian Burlemaqui, Tereza Cristina Cardoso, Kadma Carriço, Dolores Dorea, Maurício Dumond, Fernando Augusto de Freitas, Ednalva Leite, Carmen M. Mendonça, and Flávia Nogueira (pediatricians and hematologists) for their assistance.

	Footnotes

 
Grant support: Conselho Nacional de Desenvolvimento Cientifico e Tecnológico (CNPq) grants 55.0891/2001-3 and 308532/2003-1, Instituto Nacional de Câncer, Fundação Ary Frauzino, and Swiss Bridge Foundation grant 2301504.

The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.

³ http://www.inca.gov.br/estimativa.

Received 5/11/06; revised 8/28/06; accepted 10/12/06.

	References

Top Abstract Introduction Materials and Methods Results Discussion Appendix A. Brazilian... References

 

1. Ford AM, Ridge SA, Cabrera ME, et al. In utero rearrangements in the trithorax-related oncogene in infant leukaemias. Nature 1993;363:358–60.[CrossRef][Medline]
2. Greaves MF, Wiemels J. Origins of chromosome translocations in childhood leukaemia. Nat Rev Cancer 2003;3:639–49.[CrossRef][Medline]
3. Greaves MF. Aetiology of acute leukaemia. Lancet 1997;349:344–9.[CrossRef][Medline]
4. Gale KB, Ford AM, Repp R, et al. Backtracking leukemia to birth: identification of clonotypic gene fusion sequences in neonatal blood spots. Proc Natl Acad Sci U S A 1997;94:13950–4.[Abstract/Free Full Text]
5. Biondi A, Cimino G, Pieters R, Pui CH. Biological and therapeutic aspects of infant leukemia. Blood 2000;96:24–33.[Free Full Text]
6. Isaacs H, Jr. Fetal and neonatal leukemia. J Pediatr Hematol Oncol 2003;25:348–61.[Medline]
7. Isoyama K, Okawa H, Hayashi Y, et al. Clinical and biological aspects of acute lymphoblastic leukemia in 62 infants: retrospective analysis of the Tokyo Children's Cancer Study Group. Pediatr Int 1999;41:477–83.[Medline]
8. Ross JA, Potter JD, Robison LL. Infant leukemia, topoisomerase II inhibitors, and the MLL gene. J Natl Cancer Inst 1994;86:1678–80.[Free Full Text]
9. Strick R, Strissel PL, Borgers S, Smith SL, Rowley JD. Dietary bioflavonoids induce cleavage in the MLL gene and may contribute to infant leukemia. Proc Natl Acad Sci U S A 2000;97:4790–5.[Abstract/Free Full Text]
10. Ross JA, Potter JD, Reaman GH, Pendergrass TW, Robison LL. Maternal exposure to potential inhibitors of DNA topoisomerase II and infant leukemia (United States): a report from the Children's Cancer Group. Cancer Causes Control 1996;7:581–90.[CrossRef][Medline]
11. Alexander FE, Patheal SL, Biondi A, et al. Transplacental chemical exposure and risk of infant leukemia with MLL gene fusion. Cancer Res 2001;61:2542–6.[Abstract/Free Full Text]
12. Barletta E, Gorini G, Vineis P, et al. Ras gene mutations in patients with acute leukaemia and exposure to chemical agents. Carcinogenesis 2004;25:749–75.[Abstract/Free Full Text]
13. Khoury MJ, Flanders WD. Nontraditional epidemiologic approaches in the analysis of gene-environment interaction: case-control studies with no controls. Am J Epidemiol 1996;144:207–13.[Abstract/Free Full Text]
14. Bain BJ. Leukemia diagnosis. London: Blackwell Science; 1997.
15. Emerenciano M, Agudelo Arias DP, Coser VM, et al. Molecular cytogenetic findings of acute leukemia included in the Brazilian Collaborative Study Group of Infant acute leukemia. Pediatr Blood Cancer 2006;47:549–54.[Medline]
16. Parra FC, Amado RC, Lambertucci JR, et al. Color and genomic ancestry in Brazilians. Proc Natl Acad Sci U S A 2003;100:177–82.[Abstract/Free Full Text]
17. Spector LG, Xie Y, Robison LL, 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;14:651–5.[Abstract/Free Full Text]
18. Ross JA, Potter JD, Shu XO, et al. Evaluating the relationships among maternal reproductive history, birth characteristics, and infant leukemia: a report from the Children's Cancer Group. Ann Epidemiol 1997;7:172–9.[CrossRef][Medline]
19. Alexander FE, Cartwright RA, McKinney PA, Ricketts TJ. Leukaemia incidence, social class, and estuaries: an ecological analysis. J Public Health Med 1990;12:109–17.[Abstract/Free Full Text]
20. Ma X, Buffler PA, Gunier RB, et al. Critical windows of exposure to household pesticides and risk of childhood leukemia. Environ Health Perspect 2002;110:955–60.[Medline]
21. Sharpe CR, Franco EL.; Brazilian Wilms' Tumor Study Group. Use of dipyrone during pregnancy and risk of Wilms' tumor. Epidemiology 1996;7:533–5.[Medline]
22. Bromberg KD, Burgin AB, Osheroff N. A two-drug model for etoposide action against human topoisomerase II. J Biol Chem 2003;278:7406–12.[Abstract/Free Full Text]
23. Baik I, Devito WJ, Ballen K, et al. Association of fetal hormone levels with stem cell potential: evidence for early life roots of human cancer. Cancer Res 2005;65:358–63.[Abstract/Free Full Text]
24. Cavalieri EL, Stack DE, Devanesan PD, et al. Molecular origin of cancer: catechol estrogen-3,4-quinones as endogenous tumor initiators. Proc Natl Acad Sci U S A 1997;94:10937–42.[Abstract/Free Full Text]
25. Cavalieri EL, Li KM, Balu N, et al. Catechol ortho-quinones: the electrophilic compounds that form depurinating DNA adducts and could initiate cancer and other diseases. Carcinogenesis 2002;23:1071–7.[Abstract/Free Full Text]
26. Fasching K, Panzer S, Haas OA, et al. Presence of N regions in the clonotypic DJ rearrangements of the immunoglobulin heavy-chain genes indicates an exquisitely short latency in t(4;11)-positive infant acute lymphoblastic leukemia. Blood 2001;98:2272–4.[Abstract/Free Full Text]
27. Garcia-Closas M, Thompson DW, Robins JM. Differential misclassification and the assessment of gene-environment interactions in case-control studies. Am J Epidemiol 1998;147:426–33.[Abstract/Free Full Text]

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This Article Abstract Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Pombo-de-Oliveira, M. S. Search for Related Content PubMed PubMed Citation Articles by Pombo-de-Oliveira, M. S. Related Collections Commentary