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The effect of atopy, childhood crowding, and other immune-related factors on non-Hodgkin lymphoma risk

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Abstract

Objective

Since adult immune responsiveness is influenced by early childhood exposures, we examined the role of family size, history of atopic disease, and other childhood immune-related exposures in a multi-center case–control study of NHL.

Methods

Interviews were completed with 1,321 cases ascertained from population-based cancer registries in Seattle, Detroit, Los Angeles and Iowa, and with 1,057 frequency-matched controls, selected by random-digit dialing and from the Medicare files database. Multivariable logistic regression was used to estimate risk.

Results

A history of any allergy (excluding drug allergies), decreased risk of all NHL (Odds Ratio [OR] = 0.7, 95% Confidence Interval [CI] = 0.6–1.0), diffuse large B-cell lymphoma [DLBCL] (OR = 0.6, 95% CI = 0.4–0.9), and follicular NHL (OR = 0.7, 95 CI = 0.5, 1.0). A similar effect was observed for hay fever. A history of eczema was associated with an increased risk of follicular lymphoma (OR = 1.9, 95% CI = 1.1–3.4), but not DLBCL (OR = 1.1, 95% CI = 0.6–2.0). Asthma did not affect risk. Youngest compared to oldest siblings had a 90% increased risk of DLBCL (95% CI = 1.2–3.1; p for trend with increasing birth order = 0.006), but not follicular lymphoma (OR = 1.1, 95% CI = 0.6–1.8).

Conclusions

We infer that some childhood and immune-related factors may alter NHL risk.

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References

  1. Grulich A, Vajdic C (2005) The epidemiology of non-Hodgkin lymphoma. Pathol 37:409–419

    Article  Google Scholar 

  2. Martinez F, Holt P (1999) Role of microbial burden in aetiology of allergy and asthma. Lancet 354(suppl II):12–15

    Google Scholar 

  3. Bernstein L, Ross R (1992) Prior medication use and health history as risk factors for non-Hodgkin’s lymphoma: preliminary results from a case-control study in Los Angeles County. Cancer Res 52:5510s–5515s

    PubMed  CAS  Google Scholar 

  4. Doody M, Linet M, Glass A et al (1992) Leukemia, lymphoma and multiple myeloma following selected medical conditions. Cancer Causes Contr 3:449–456

    Article  CAS  Google Scholar 

  5. Holly E, Chitra L (1997) Non-Hodgkin’s lymphoma in HIV-positive and HIV-negative homosexual men in the San Francisco Bay area: Allergies, prior medication use, and sexual practices. J AIDS 15:211–222

    CAS  Google Scholar 

  6. Holly E, Lele C, Bracci P et al (1999) Case-control study of non-Hodgkin’s lymphoma among women and heterosexual men in the San Francisco Bay area, California. Am J Epidemiol 150:375–389

    PubMed  CAS  Google Scholar 

  7. Vineis P, Crosignani P, Sacerdote C et al (2000) Haematopoietic cancer and medical history: a multicentre case control study. J Epidemiol Community Health 54:4331–4436

    Google Scholar 

  8. Tavani A, La Vecchia C, Franchesci S (2000) Medical history and the risk of non-Hodgkin lymphomas. Cancer Epidemiol Biomarkers Prev 1:533–6

    Google Scholar 

  9. Briggs N, Levine R, Brann E (2002) Allergies and risk of non-Hodgkin’s lymphoma by subtype. Cancer Epidemiol Biomarkers Prev 11:401–407

    PubMed  Google Scholar 

  10. Holly E, Bracci P (2003) Population-based study of non-Hodgkin lymphoma, histology and medical history among human immunodeficiency virus-negative participants in San Francisco. Am J Epidemiol 158:316–327

    Article  PubMed  Google Scholar 

  11. Grulich A, Vajdic C, Kaldor J et al (2004) Birth order, atopy, and risk of non-Hodgkin lymphoma. JNCI 97:587–594

    Google Scholar 

  12. Bracci P, Dalvi T, Holly E (2006) Residential history, family characteristics and non-Hodgkin’s lymphoma, a population-based case-control study in the San Francisco Bay area. Cancer Epidemiol Biomarkers Prev 15:1287–1294

    Article  PubMed  Google Scholar 

  13. Zhang Y, Holdford T, Leaderer B et al (2004) Prior medical conditions and medication use and risk of non-Hodgkin lymphoma in Connecticut, United States women. Cancer Causes Contr 15:419–428

    Article  Google Scholar 

  14. Melbye M, Smedby K, Lehtinen T et al (2007) Atopy and risk of non-Hodgkin lymphoma. JNCI 99:158–166

    PubMed  Google Scholar 

  15. Becker N, Deeg E, Rudiger T et al (2005) Medical history and risk for lymphoma: results of a population-based case-control study in Germany. Eur J Cancer 41:133–142

    Article  PubMed  Google Scholar 

  16. Strachan D (1989) Hay fever, hygiene and household size. Br Med J 299:1259–1260

    CAS  Google Scholar 

  17. Strachan D, Taylor E, Carpenter R (1996) Family structure, neonatal infection and hay fever in adolescence. Arch Dis Child 74:422–426

    Article  PubMed  CAS  Google Scholar 

  18. Westergaard T, Melbye M, Pedersen J et al (1997) Birth order, sibship size and risk of Hodgkin’s disease in children and young adults: A population-based study of 31 million person-years. Int J Cancer 72:977–981

    Article  PubMed  CAS  Google Scholar 

  19. Gutensohn N, Cole P (1997) Epidemiology of Hodgkin’s disease in the young. Int J Cancer 19:595–604

    Article  Google Scholar 

  20. Greaves M (2006) Infection, immune responses, aetiology of childhood leukaemia. Nat Rev Cancer 6:193–203

    Article  PubMed  CAS  Google Scholar 

  21. Vineis P, Miligi L, Crosignani P et al (2000) Delayed infection, family size and malignant lymphoma. J Epidemiol Community Health 54:907–911

    Article  PubMed  CAS  Google Scholar 

  22. Alitieri A, Castro F, Bermejo J et al Number of siblings and their risk of lymphoma, leukemia and myeloma by histopathology. Cancer Epidemiol Biomarkers Prev 15:1281–1286

  23. Becker N, Deeg E, Nieters A (2004) Population-based study of lymphoma in Germany: rationale, study design and first results. Leukemia Res 28:713–724

    Article  Google Scholar 

  24. Ries L, Eisner M, Kosary C et al (2004) SEER cancer statistics review, 1975–2001. National Cancer Institute, National Institutes of Health, Bethesda, MD

    Google Scholar 

  25. Percy C, Van Holten V, Muir C (eds) (1990) International classification of diseases for oncology, 2nd edn. World Health Organization, Geneva, Switzerland

  26. Fritz A, Percy C, Jack A et al (eds) (2000) International classification of diseases for oncology, 3rd edn. World Health Organization, Geneva, Switzerland

  27. Casady R, Lepkowski J (1993) Stratified telephone survey designs. Survey Method 19:103–113

    Google Scholar 

  28. Kogevinas M, Zock J-P, Alvaro T et al (2004) Occupational exposure to immunologically active agents and risk for lymphoma. Cancer Epidemiol Biomarkers Prev 13:1814–1818

    PubMed  CAS  Google Scholar 

  29. Mills P, Beeson W, Fraser G et al (1992) Allergy and cancer: Organ-site specific results from the Adventist Health Study. Am J Epidemiol 136:287–95

    PubMed  CAS  Google Scholar 

  30. Wang H, Diepgen T (2005) Is atopy a protective or a risk factor for cancer? A review of epidemiologic studies. Allergy 60:1098–1111

    Article  PubMed  CAS  Google Scholar 

  31. Lindelof B, Granath F, Tengvall-Linder M et al (2005) Allergy and cancer. Allergy 60:1116–1120

    Article  PubMed  CAS  Google Scholar 

  32. Eriksson N, Holmen A, Hogstedt B et al (1995) A prospective study of cancer incidence in a cohort examined for allergy. Allergy 50:718–722

    Article  PubMed  CAS  Google Scholar 

  33. McWhorter W (1998) Allergy and risk of cancer: A prospective study using NHANESI followup data. Cancer 62:451–455

    Article  Google Scholar 

  34. Talbot-Smith A, Fritschi L, Divtini M et al (2003) Allergy, atopy and cancer: A prospective study of the 1981 Busselton cohort. Am J Epidemiol 157:606–612

    Article  PubMed  Google Scholar 

  35. Soderberg KC, Hagmar K, Schwartzbaum J, Feychting M (2004) Allergic conditions and risk of hematologic malignancies in adults: a cohort study. BMC Public Health 4:51–57

    Article  PubMed  Google Scholar 

  36. Engels E (2007) Infectious agents as causes of non-Hodgkin lymphoma. Cancer Epidemiol Biomarkers Prev 16:401–404

    Article  PubMed  CAS  Google Scholar 

  37. Jarrett R (2006) Viruses and lymphoma/leukemia. J Pathol 208:176–86

    Article  PubMed  CAS  Google Scholar 

  38. Blaser M, Nomura A, Lee J, Stemmerman G, Perez-Perez G (2007) Early-life family structure and microbially induced cancer risk. PLOSMed 4:53–8

    Google Scholar 

  39. Karmus W, Arshad S, Sadeghnejad A et al (2004) Does maternal immunoglobulin E decrease with increasing order of live offspring? Clin Exp Allergy 34:853–859

    Article  Google Scholar 

  40. Green M, Zaadie Y (1989) Sibship size as a risk factor for Hepatitis A infection. Am J Epidemiol 129:800–805

    PubMed  CAS  Google Scholar 

  41. Downs S, Marks G, Mitakakis T et al (2001) Having lived on a farm and protection against allergic diseases in Australia. Clin Exp Allergy 3:570–575

    Article  Google Scholar 

  42. von Mutius E, Braun-Fahrlander C, Schierl R et al (2000) Exposure to endotoxin or other bacterial components might protect against the development of atopy. Clin Exp Allergy 30:1230–1234

    Article  Google Scholar 

  43. Lauener R, Birchler T, Adamski J et al (2002) Expression of CD14 and Toll-like receptor 2 in farmer’s children. Lancet 360:465–466

    Article  PubMed  CAS  Google Scholar 

  44. Nieters A, Beckmann L, Deeg E et al (2006) Gene polymorphisms in Toll-like receptors, interleukin-10, and receptor alpha and lymphoma risk. Genes Immunity 7:615–624

    Article  PubMed  CAS  Google Scholar 

  45. Forrest M, Skibola C, Lightfoot T et al (2006) Polymorphisms in innate immunity genes and risk of lymphoma. Br J Haematol 134:180–183

    Article  PubMed  CAS  Google Scholar 

  46. McCormick D, Ammann A, Ishizaka K et al (1971) A study of allergy in patients with malignant lymphoma and chronic lymphocytic leukemia. Cancer 27:93–99

    Article  PubMed  CAS  Google Scholar 

  47. Bahna S, Heiner D, Myhre B (1983) Immunoglobulin E pattern in cigarette smokers. Allergy 38:57–64

    Article  PubMed  CAS  Google Scholar 

  48. Harbison S, Robinson W (2002) Policy implications of the next world demographic transition. Studies Family Planning 33:37–48

    Article  Google Scholar 

  49. Weitzman M, Gortmaker S, Sobol A et al (1992) Recent trends in the prevalence and severity of childhood asthma. JAMA 268:2673–2677

    Article  PubMed  CAS  Google Scholar 

  50. Cozen W, Gill P, Ingles S et al (2004) IL-6 levels and genotype are associated with risk of young adult Hodgkin lymphoma. Blood 103:3216–3221

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

The authors acknowledge the effort of the study coordinators and interviewers and also of Lonn Irish and Michael Stagner of Information Management Systems, Silver Springs, MD, and Geoffrey Tobias, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, for help in preparing the manuscript.

Supported by

This study was supported by the National Cancer Institute’s Surveillance, Epidemiology and End Results Program under contracts N01-PC-35139, N01 PC065064, NO1-PC-67008, N01-PC-71105, and N01-PC67009 awarded to the University of Southern California, Wayne State University, University of Washington and Mayo Clinic. This study was also supported by grants P01 CA17054, P30 ES07048, and the Norris Comprehensive Cancer Center Support Grant P30 CA014089, funded by the National Cancer Institute from the National Institutes of Health awarded to the University of Southern California. The collection of cancer incidence data in Los Angeles County was supported by the California Department of Health Services as part of the statewide cancer reporting program mandated by California Health and Safety Code Section 103885 and the Centers for Disease Control and Prevention’s National Program of Cancer Registries, under agreement #U55/CCR921930-02 awarded to the Public Health Institute. The ideas and opinions expressed herein are those of the authors and endorsement by the State of California, Department of Health Services, the National Cancer Institute, and the Centers for Disease Control and Prevention or their Contractors and Subcontractors is not intended nor should be inferred. O. Martinez-Maza’s work on this project was supported by grants CA73475, and CA57152 from the National Cancer Institute, National Institutes of Health.

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Correspondence to W. Cozen.

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Cozen, W., Cerhan, J.R., Martinez-Maza, O. et al. The effect of atopy, childhood crowding, and other immune-related factors on non-Hodgkin lymphoma risk. Cancer Causes Control 18, 821–831 (2007). https://doi.org/10.1007/s10552-007-9025-5

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  • DOI: https://doi.org/10.1007/s10552-007-9025-5

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