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Open Access 01-12-2017 | Research article

The association between high birth weight and the risks of childhood CNS tumors and leukemia: an analysis of a US case-control study in an epidemiological database

Published in: BMC Cancer | Issue 1/2017

Abstract

Background

High birth weight (BW), 4000 g or larger, is an established risk factor for childhood leukemia. However, its association with central nervous system (CNS) tumor risk is yet unclear. The present study examined it, analyzing data obtained from a case-control study conducted among three states from the US. The association with childhood leukemia risk was also further examined.

Methods

In this study, a data set provided by the Comprehensive Epidemiologic Data Resource was analyzed with an official permission. The original case-control study was conducted to examine the association between paternal preconception exposure to ionizing radiation and childhood cancer risk. Cases with childhood cancer were mainly ascertained from local hospitals, and controls were selected, matched with birth year (1-year category), county of residence, sex, ethnicity and maternal age (+/−2 years). Since the ID numbers were unavailable, conventional logistic analyses were conducted adjusting for those matching variables except for the county of residence. In addition to those variables, gestational age, age at diagnosis and study sites as covariables were included in the logistic models.

Results

Analyzed subjects were 72 CNS tumor cases, 124 leukemia cases and 822 controls born from 1945 to 1989. The odds ratios (ORs) of CNS tumor risk for children with low BWs (<2500 g) and high BWs (>4000 g) were 2.0 (95% confidence interval [CI]) = 0.7, 5.9) and 2.5 (95%CI = 1.2, 5.2)], respectively. When high-BW children were restricted to those who were large for gestational age (LGA), the OR for high-BW children remained similar (OR = 2.7; 95%CI = 1.1, 6.2). On the other hand, the ORs of leukemia risk for children with low and high BWs were 0.8 (95%CI = 0.2, 3.0) and 1.4 (95%CI = 0.7, 2.6), respectively. In the normal range of BW (2500–4000 g), higher BW was positively associated with CNS tumor risk (beta = 0.0011, p for trend = 0.012). However, the association with leukemia risk was not significant (beta = −0.0002, p for trend = 0.475).

Conclusion

High-BW and LGA children had an elevated childhood CNS tumor risk. In the normal BW range, the BW itself was positively related to CNS tumor risk. No significant association between BW and childhood leukemia risk was observed in this study.

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Steliarova-Foucher E, Colombet M, Ries LAG, Moreno F, Dolya A, Bray F, Hesseling P, Shin HY, Stiller CA, contributors I. International incidence of childhood cancer, 2001-10: a population-based registry study. The Lancet Oncology. 2017;18(6):719–31. https://doi.org/10.1016/S1470-2045(17)30186-9.CrossRefPubMedPubMedCentral

Gittleman HR, Ostrom QT, Rouse CD, Dowling JA, de Blank PM, Kruchko CA, Elder B, Rosenfeld SS, Selman WR, Sloan AE, Barnholtz-Sloan JS. Trends in central nervous system tumor incidence relative to other common cancers in adults, adolescents, and children in the United States, 2000 to 2010. Cancer. 2015;121(1):102–12.

Baldwin RT, Preston-Martin S. Epidemiology of brain tumors in childhood--a review. Toxicol Appl Pharmacol. 2004;199(2):118–31. doi:10.1016/j.taap.2003.12.029.CrossRefPubMed

Spector LG, Pankratz N, Marcotte EL. Genetic and nongenetic risk factors for childhood cancer. Pediatr Clin N Am. 2015;62(1):11–25. doi:10.1016/j.pcl.2014.09.013.CrossRef

O'Neill KA, Murphy MF, Bunch KJ, Puumala SE, Carozza SE, Chow EJ, Mueller BA, McLaughlin CC, Reynolds P, Vincent TJ, Von Behren J, Spector LG. Infant birthweight and risk of childhood cancer: international population-based case control studies of 40 000 cases. Int J Epidemiol. 2015;44(1):153–68. doi:10.1093/ije/dyu265.CrossRefPubMed

Sprehe MR, Barahmani N, Cao Y, Wang T, Forman MR, Bondy M, Okcu MF. Comparison of birth weight corrected for gestational age and birth weight alone in prediction of development of childhood leukemia and central nervous system tumors. Pediatr Blood Cancer. 2010;54(2):242–9. doi:10.1002/pbc.22308.PubMedPubMedCentral

Caughey RW, Michels KB. Birth weight and childhood leukemia: a meta-analysis and review of the current evidence. International journal of cancer Journal international du cancer. 2009;124(11):2658–70. doi:10.1002/ijc.24225.CrossRefPubMed

Hjalgrim LL, Westergaard T, Rostgaard K, Schmiegelow K, Melbye M, Hjalgrim H, Engels EA. Birth weight as a risk factor for childhood leukemia: a meta-analysis of 18 epidemiologic studies. Am J Epidemiol. 2003;158(8):724–35.CrossRefPubMed

Oksuzyan S, Crespi CM, Cockburn M, Mezei G, Kheifets L. Birth weight and other perinatal factors and childhood CNS tumors: a case-control study in California. Cancer Epidemiol. 2013;37(4):402–9. doi:10.1016/j.canep.2013.03.007.CrossRefPubMed

10.

Harder T, Plagemann A, Harder A. Birth weight and subsequent risk of childhood primary brain tumors: a meta-analysis. Am J Epidemiol. 2008;168(4):366–73. doi:10.1093/aje/kwn144.CrossRefPubMed

11.

Schuz J, Forman MR. Birthweight by gestational age and childhood cancer. Cancer Causes Control. 2007;18(6):655–63. doi:10.1007/s10552-007-9011-y.CrossRefPubMed

12.

Bjorge T, Sorensen HT, Grotmol T, Engeland A, Stephansson O, Gissler M, Tretli S, Troisi R. Fetal growth and childhood cancer: a population-based study. Pediatrics. 2013;132(5):e1265–75. doi:10.1542/peds.2013-1317.CrossRefPubMedPubMedCentral

13.

Oksuzyan S, Crespi CM, Cockburn M, Mezei G, Kheifets L. Birth weight and other perinatal characteristics and childhood leukemia in California. Cancer Epidemiol. 2012;36(6):e359–65. doi:10.1016/j.canep.2012.08.002.CrossRefPubMedPubMedCentral

14.

Mallol-Mesnard N, Menegaux F, Lacour B, Hartmann O, Frappaz D, Doz F, Bertozzi AI, Chastagner P, Hemon D, Clavel J. Birth characteristics and childhood malignant central nervous sytem tumors: the ESCALE study (French Society for Childhood Cancer). Cancer Detect Prev. 2008;32(1):79–86. doi:10.1016/j.cdp.2008.02.003.CrossRefPubMed

15.

Linet MS, Gridley G, Cnattingius S, Nicholson HS, Martinsson U, Glimelius B, Adami HO, Zack M. Maternal and perinatal risk factors for childhood brain tumors (Sweden). Cancer Causes Control. 1996;7(4):437–48.CrossRefPubMed

16.

Hjalgrim LL, Rostgaard K, Hjalgrim H, Westergaard T, Thomassen H, Forestier E, Gustafsson G, Kristinsson J, Melbye M, Schmiegelow K. Birth weight and risk for childhood leukemia in Denmark, Sweden, Norway, and Iceland. J Natl Cancer Inst. 2004;96(20):1549–56. doi:10.1093/jnci/djh287.CrossRefPubMed

17.

Buck Louis GM, Grewal J, Albert PS, Sciscione A, Wing DA, Grobman WA, Newman RB, Wapner R, D'Alton ME, Skupski D, Nageotte MP, Ranzini AC, Owen J, Chien EK, Craigo S, Hediger ML, Kim S, Zhang C, Grantz KL. Racial/ethnic standards for fetal growth: the NICHD fetal growth studies. Am J Obstet Gynecol. 2015;213(4):449.e1-449.e41. doi:10.1016/j.ajog.2015.08.032.CrossRefPubMedPubMedCentral

18.

Sever LE, Gilbert ES, Tucker K, Greaves JA, Greaves C, Buchanan JA. Epidemiologic evaluation of childhood leukemia and paternal exposure to ionizing radiation. Seattle: Centers for Disease Control and Prevention; 1997.

19.

Oak Ridge Institute for Science and Education (ORISE). Comprehensive epidemiologic data resource (CEDR). U.S. Department of Energy (DOE). https://apps.orau.gov/cedr/#.WVxB1YSGNdg. Accessed 28 July 2015.

20.

David WH, Stanley L. Applied logistic regression. Wiley series in probability and mathematical statistics. United State of America: Wiley-Interscience; 1989.

21.

Sander Greenland. Introduction to Regression Modeling. In: Rothman KJ, Greenland S, Lash TH (eds) Modern Epidemiology. USA: Lippincott Williams & Wilkins. 2008;381–417.

22.

Deval LP, Timothy PM, JudyAnn B, John A, Ron B, Judy H, Hafsatou D. 2008 pregnancy data report. Massachusetts: Centers for Disease Control and Prevention (CDC); 2009.

23.

Alexander GR, Kogan MD, Himes JH. 1994-1996 U.S. singleton birth weight percentiles for gestational age by race, Hispanic origin, and gender. Matern Child Health J. 1999;3(4):225–31.CrossRefPubMed

24.

Surawicz TS, McCarthy BJ, Kupelian V, Jukich PJ, Bruner JM, Davis FG. Descriptive epidemiology of primary brain and CNS tumors: results from the central brain tumor registry of the United States, 1990-1994. Neuro-Oncology. 1999;1(1):14–25.CrossRefPubMedPubMedCentral

25.

Von Behren J, Reynolds P. Birth characteristics and brain cancers in young children. Int J Epidemiol. 2003;32(2):248–56.CrossRefPubMed

26.

Emerson JC, Malone KE, Daling JR, Starzyk P. Childhood brain tumor risk in relation to birth characteristics. J Clin Epidemiol. 1991;44(11):1159–66.CrossRefPubMed

27.

Heuch JM, Heuch I, Akslen LA, Kvale G. Risk of primary childhood brain tumors related to birth characteristics: a Norwegian prospective study. International journal of cancer Journal international du cancer. 1998;77(4):498–503.CrossRefPubMed

28.

Kuijten RR, Bunin GR, Nass CC, Meadows AT. Gestational and familial risk factors for childhood astrocytoma: results of a case-control study. Cancer Res. 1990;50(9):2608–12.PubMed

29.

McCredie M, Little J, Cotton S, Mueller B, Peris-Bonet R, Choi NW, Cordier S, Filippini G, Holly EA, Modan B, Arslan A, Preston-Martin S. SEARCH international case-control study of childhood brain tumours: role of index pregnancy and birth, and mother's reproductive history. Paediatr Perinat Epidemiol. 1999;13(3):325–41.CrossRefPubMed

30.

Schuz J, Kaletsch U, Kaatsch P, Meinert R, Michaelis J. Risk factors for pediatric tumors of the central nervous system: results from a German population-based case-control study. Med Pediatr Oncol. 2001;36(2):274–82. doi:10.1002/1096-911X(20010201)36:2<274::AID-MPO1065>3.0.CO;2-D.CrossRefPubMed

31.

Mogren I, Malmer B, Tavelin B, Damber L. Reproductive factors have low impact on the risk of different primary brain tumours in offspring. Neuroepidemiology. 2003;22(4):249–54. doi:70567CrossRefPubMed

32.

Gold E, Gordis L, Tonascia J, Szklo M. Risk factors for brain tumors in children. Am J Epidemiol. 1979;109(3):309–19.CrossRefPubMed

33.

Ross JA, Perentesis JP, Robison LL, Davies SM. Big babies and infant leukemia: a role for insulin-like growth factor-1? Cancer Causes Control. 1996;7(5):553–9.CrossRefPubMed

34.

Del Valle L, Enam S, Lassak A, Wang JY, Croul S, Khalili K, Reiss K. Insulin-like growth factor I receptor activity in human medulloblastomas. Clin Cancer Res. 2002;8(6):1822–30.PubMed

35.

Jukich PJ, McCarthy BJ, Surawicz TS, Freels S, Davis FG. Trends in incidence of primary brain tumors in the United States, 1985-1994. Neuro-Oncology. 2001;3(3):141–51.CrossRefPubMedPubMedCentral

36.

Dubois L, Girard M, Tatone-Tokuda F. Determinants of high birth weight by geographic region in Canada. Chronic Diseases in Canada. 2007;28(1–2):63–70.PubMed

37.

Greenberg RS, Shuster JL Jr. Epidemiology of cancer in children. Epidemiology Review. 1985;7:22–48.CrossRef

38.

Poole C, Greenland S, Luetters C, Kelsey JL, Mezei G. Socioeconomic status and childhood leukaemia: a review. Int J Epidemiol. 2006;35(2):370–84. doi:10.1093/ije/dyi248.CrossRefPubMed

39.

Borugian MJ, Spinelli JJ, Mezei G, Wilkins R, Abanto Z, McBride ML. Childhood leukemia and socioeconomic status in Canada. Epidemiology. 2005;16(4):526–31.CrossRefPubMed

40.

Smith A, Roman E, Simpson J, Ansell P, Fear NT, Eden T. Childhood leukaemia and socioeconomic status: fact or artefact? A report from the United Kingdom childhood cancer study (UKCCS). Int J Epidemiol. 2006;35(6):1504–13.CrossRefPubMed

41.

McNally RJ, Alston RD, Eden TO, Kelsey AM, Birch JM. Further clues concerning the aetiology of childhood central nervous system tumours. Eur J Cancer. 2004;40(18):2766–72. doi:10.1016/j.ejca.2004.08.020.CrossRefPubMed

42.

Del Risco KR, Blaasaas KG, Claussen B. Poverty and the risk of leukemia and cancer in the central nervous system in children: a cohort study in a high-income country. Scand. J. Public Health. 2015;43(7):736–43. doi:10.1177/1403494815590499.CrossRef

43.

Keegan TJ, Bunch KJ, Vincent TJ, King JC, O'Neill KA, Kendall GM, MacCarthy A, Fear NT, Murphy MF. Case-control study of paternal occupation and social class with risk of childhood central nervous system tumours in great Britain, 1962-2006. Br J Cancer. 2013;108(9):1907–14. https://doi.org/10.1038/bjc.2013.171.CrossRefPubMedPubMedCentral

44.

Ramis R, Tamayo-Uria I, Gomez-Barroso D, Lopez-Abente G, Morales-Piga A, Pardo Romaguera E, Aragones N, Garcia-Perez J. Risk factors for central nervous system tumors in children: new findings from a case-control study. PLoS One. 2017;12(2):e0171881. doi:10.1371/journal.pone.0171881.CrossRefPubMedPubMedCentral

45.

Morley R. Fetal origins of adult disease. Semin. Fetal Neonatal Med. 2006;11(2):73–8. doi:10.1016/j.siny.2005.11.001.CrossRefPubMed

46.

de Boo HA, Harding JE. The developmental origins of adult disease (barker) hypothesis. Aust N Z J Obstet Gynaecol. 2006;46(1):4–14. doi:10.1111/j.1479-828X.2006.00506.x.CrossRefPubMed

47.

Miles HL, Hofman PL, Cutfield WS. Fetal origins of adult disease: a paediatric perspective. Rev Endocr Metab Disord. 2005;6(4):261–8. doi:10.1007/s11154-005-6184-0.CrossRefPubMed

Title: The association between high birth weight and the risks of childhood CNS tumors and leukemia: an analysis of a US case-control study in an epidemiological database
Publication date: 01-12-2017
Published in: BMC Cancer / Issue 1/2017
Electronic ISSN: 1471-2407
DOI: https://doi.org/10.1186/s12885-017-3681-y

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