Skip to main content

Advertisement

Log in

Determinants of the t(14;18) translocation and their role in t(14;18)-positive follicular lymphoma

  • Original paper
  • Published:
Cancer Causes & Control Aims and scope Submit manuscript

Abstract

Purpose

The strong association between t(14;18) translocation and follicular lymphoma (FL) is well known. However, the determinants of this chromosomal aberration and their role in t(14;18) associated FL remain to be established.

Methods

t(14;18) frequency within the B cell lymphoma 2 major breakpoint region was determined for 135 incident FL cases and 251 healthy controls as part of a nested case–control study within the European Prospective Investigation into Cancer cohort. Quantitative real-time PCR was performed in DNA extracted from blood samples taken at recruitment. The relationship between prevalence and frequency of the translocation with baseline anthropometric, lifestyle, and dietary factors in cases and controls was determined. Unconditional logistic regression was used to explore whether the risk of FL associated with these factors differed in t(14;18)+ as compared to t(14;18) cases.

Results

Among incident FL cases, educational level (χ 2 p = 0.021) and height (χ 2 p = 0.025) were positively associated with t(14;18) prevalence, and cases with high frequencies [t(14;18)HF] were significantly taller (t test p value = 0.006). These findings were not replicated in the control population, although there were a number of significant associations with dietary variables. Further analyses revealed that height was a significant risk factor for t(14;18)+ FL [OR 6.31 (95 % CI 2.11, 18.9) in the tallest versus the shortest quartile], but not t(14;18) cases.

Conclusions

These findings suggest a potential role for lifestyle factors in the prevalence and frequency of the t(14;18) translocation. The observation that the etiology of FL may differ by t(14;18) status, particularly with regard to height, supports the subdivision of FL by translocation status.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Anderson JR, Armitage JO, Weisenburger DD (1998) Epidemiology of the non-Hodgkin’s lymphomas: distributions of the major subtypes differ by geographic locations. Non-Hodgkin’s Lymphoma classification project. Ann Oncol 9:717–720

    Article  CAS  PubMed  Google Scholar 

  2. Jaffe ES (2013) Follicular lymphomas: a tapestry of common and contrasting threads. Haematologica 98:1163–1165

    Article  PubMed Central  PubMed  Google Scholar 

  3. Kridel R, Sehn LH, Gascoyne RD (2012) Pathogenesis of follicular lymphoma. J Clin Invest 122:3424–3431

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  4. Schüler F, Dölken L, Hirt C et al (2009) Prevalence and frequency of circulating t(14;18)-MBR translocation carrying cells in healthy individuals. Int J Cancer 124:958–963

    Article  PubMed Central  PubMed  Google Scholar 

  5. Limpens J, Stad R, Vos C et al (1995) Lymphoma-associated translocation t(14;18) in blood B cells of normal individuals. Blood 85:2528–2536

    CAS  PubMed  Google Scholar 

  6. Liu Y, Hernandez AM, Shibata D, Cortopassi GA (1994) BCL2 translocation frequency rises with age in humans. Proc Natl Acad Sci USA 91:8910–8914

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  7. Roulland S, Lebailly P, Lecluse Y, Briand M, Pottier D, Gauduchon P (2004) Characterization of the t(14;18) BCL2-IGH translocation in farmers occupationally exposed to pesticides. Cancer Res 64:2264–2269

    Article  CAS  PubMed  Google Scholar 

  8. Roulland S, Kelly RS, Morgado E et al (2014) t(14;18) Translocation: a predictive blood biomarker for follicular lymphoma. J Clin Oncol 32:1347–1355

    Article  PubMed  Google Scholar 

  9. Baccarelli A, Hirt C, Pesatori AC et al (2006) t(14;18) translocations in lymphocytes of healthy dioxin-exposed individuals from Seveso, Italy. Carcinogenesis 27:2001–2007

    Article  CAS  PubMed  Google Scholar 

  10. Schroeder JC, Olshan AF, Baric R et al (2001) Agricultural risk factors for t(14;18) subtypes of non-Hodgkin’s lymphoma. Epidemiology 12:701–709

    Article  CAS  PubMed  Google Scholar 

  11. Bentham G, Wolfreys AM, Liu Y et al (1999) Frequencies of hprt–mutations and bcl-2 translocations in circulating human lymphocytes are correlated with United Kingdom sunlight records. Mutagenesis 14:527–532

    Article  CAS  PubMed  Google Scholar 

  12. Schüler F, Hirt C, Dolken G (2003) Chromosomal translocation t(14;18) in healthy individuals. Semin Cancer Biol 13:203–209

    Article  PubMed  Google Scholar 

  13. Bell DA, Liu Y, Cortopassi GA (1995) Occurrence of bcl-2 oncogene translocation with increased frequency in the peripheral blood of heavy smokers. J Natl Cancer Inst 87:223–224

    Article  CAS  PubMed  Google Scholar 

  14. Riboli E, Kaaks R (1997) The EPIC Project: rationale and study design. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 26:S6

    Article  PubMed  Google Scholar 

  15. Riboli E, Hunt K, Slimani N et al (2002) European Prospective Investigation into Cancer and Nutrition (EPIC): study populations and data collection. Public Health Nutr 5:1113–1124

    Article  CAS  PubMed  Google Scholar 

  16. Roswall N, Freisling H, Bueno-de-Mesquita HB et al (2014) Anthropometric measures and bladder cancer risk: a prospective study in the EPIC cohort. Int J Cancer 135:2918–2929

    Article  CAS  PubMed  Google Scholar 

  17. Slimani N, Kaaks R, Ferrari P et al (2002) European Prospective Investigation into Cancer and Nutrition (EPIC) calibration study: rationale, design and population characteristics. Public Health Nutr 5:1125–1145

    Article  CAS  PubMed  Google Scholar 

  18. Slimani N, Deharveng G, Unwin I et al (2007) The EPIC nutrient database project (ENDB): a first attempt to standardize nutrient databases across the 10 European countries participating in the EPIC study. Eur J Clin Nutr 61:1037–1056

    Article  CAS  PubMed  Google Scholar 

  19. Kaaks R, Riboli E (1997) Validation and calibration of dietary intake measurements in the EPIC project: methodological considerations. European Prospective Investigation into Cancer and Nutrition. Int J Epidemiol 26:S15

    Article  PubMed  Google Scholar 

  20. Pasqualucci L, Dominguez-Sola D, Chiarenza A et al (2011) Inactivating mutations of acetyltransferase genes in B-cell lymphoma. Nature 471:189–195

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  21. Shaknovich R, Melnick A (2011) Epigenetics and B-cell lymphoma. Curr Opin Hematol 18:293–299

    Article  PubMed Central  PubMed  Google Scholar 

  22. Okosun J, Bödör C, Wang J et al (2014) Integrated genomic analysis identifies recurrent mutations and evolution patterns driving the initiation and progression of follicular lymphoma. Nat Genet 46:176–181

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  23. Britton JA, Khan AE, Rohrmann S et al (2008) Anthropometric characteristics and non-Hodgkin’s lymphoma and multiple myeloma risk in the European Prospective Investigation into Cancer and Nutrition (EPIC). Haematologica 93:1666–1677

    Article  PubMed  Google Scholar 

  24. Fisher SG, Fisher RI (2004) The epidemiology of non-Hodgkin’s lymphoma. Oncogene 23:6524–6534

    Article  CAS  PubMed  Google Scholar 

  25. Chang CM, Wang SS, Dave BJ et al (2011) Risk factors for non-Hodgkin lymphoma subtypes defined by histology and t(14;18) in a population-based case–control study. International journal of cancer. J Int du Cancer 129:938–947

    Article  CAS  Google Scholar 

  26. Wadsworth ME, Hardy RJ, Paul AA, Marshall SF, Cole TJ (2002) Leg and trunk length at 43 years in relation to childhood health, diet and family circumstances; evidence from the 1946 national birth cohort. Int J Epidemiol 31:383–390

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

    Article  PubMed Central  CAS  PubMed  Google Scholar 

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

    Article  CAS  PubMed  Google Scholar 

  29. Chiu BC-H, Lan Q, Dave BJ, Blair A, Zahm SH, Weisenburger DD (2008) The utility of t(14;18) in understanding risk factors for non-Hodgkin lymphoma. JNCI Monogr 2008:69–73

    Article  Google Scholar 

  30. Chiu BC, Dave BJ, Blair A et al (2007) Cigarette smoking, familial hematopoietic cancer, hair dye use, and risk of t(14;18)-defined subtypes of non-Hodgkin’s lymphoma. Am J Epidemiol 165:652–659

    Article  PubMed  Google Scholar 

  31. Chiu BC, Dave BJ, Ward MH et al (2008) Dietary factors and risk of t(14;18)-defined subgroups of non-Hodgkin lymphoma. Cancer Causes Control 19:859–867

    Article  PubMed  Google Scholar 

  32. Chiu BC, Dave BJ, Blair A, Gapstur SM, Zahm SH, Weisenburger DD (2006) Agricultural pesticide use and risk of t(14;18)-defined subtypes of non-Hodgkin lymphoma. Blood 108:1363–1369

    Article  PubMed Central  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

We thank the investigators and participants of the EPIC (European Prospective Investigation into Cancer and Nutrition).

Funding

EPIC study supported by Europe Against Cancer Program of European Commission; Deutsche Krebshilfe, Deutsches Krebsforschungszentrum, and German Federal Ministry of Education and Research; Danish Cancer Society; Health Research Fund of Spanish Ministry of Health; Spanish regional governments of Andalusia, Asturias, Basque, Murcia, and Navarra; Catalan Institute of Oncology; Instituto de Salud Carlos III of Spanish Ministry of Health (Red Temática de Investigación Cooperativa en Cáncer Grant No. DR06/0020); Cancer Research United Kingdom; Medical Research Council United Kingdom; Hellenic Health Foundation; Italian Association for Research on Cancer; Italian National Research Council, Fondazione Istituto Banco Napoli; Compagnia di San Paolo; Dutch Ministry of Public Health, Welfare and Sports, Netherlands Cancer Registry, LK Research Fund, Dutch Prevention Funds, DutchZorgOnderzoek Nederland, World Cancer Research Fund, and Statistics Netherlands; Swedish Cancer Society; Swedish Scientific Council; Regional Government of Västerbotten, Sweden; Norwegian Cancer Society; Research Council of Norway; French League Against Cancer; INSERM; Mutuelle Générale del’Education Nationale;3 M(France); Gustave Roussy Institute; and General Councils of France.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paolo Vineis.

Ethics declarations

Conflicts of interest

R. Kelly, S. Roulland, P.Vineis, and B. Nadal hold a patent for the t(14;18)HF biomarker (Nadal B, Roulland S, Vineis P, Kelly RS. Methods for Predicting Whether a Subject is at Risk of Developing a Follicular Lymphoma France: 12118, filed December 2013).

Informed consent

The study was approved by the committees on research ethics each of the participating centers and conducted in accordance with the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study.

Additional information

Rachel S. Kelly, Sandrine Roulland, Paolo Vineis and Bertrand Nadel have contributed equally to this work.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 59 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kelly, R.S., Roulland, S., Morgado, E. et al. Determinants of the t(14;18) translocation and their role in t(14;18)-positive follicular lymphoma. Cancer Causes Control 26, 1845–1855 (2015). https://doi.org/10.1007/s10552-015-0677-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10552-015-0677-2

Keywords

Navigation