To evaluate the associations between diet and non-Hodgkin lymphoma (NHL) according to t(14;18) status, one of the most common chromosomal abnormalities in NHL, as t(14;18)-positive NHL represents a genetically more homogeneous group than NHL overall.
MethodsWe determined the presence of the t(14;18)(q32;q21) by fluorescence in situ hybridization in 172 of 175 tumor blocks from a population-based, case–control study conducted in Nebraska during 1983–1986. Information on the frequency of consumption as an adult of 30 food items was derived from the parent case–control study. Dietary factors in 60 t(14;18)-positive and 87 t(14;18)-negative cases were compared with 1,075 controls. Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using polytomous logistic regression.
ResultsThe risk of t(14;18)-positive NHL for the highest versus the lowest approximate tertile of intake was elevated for milk (OR = 2.2; 1.0–5.0) and dietary nitrite (OR = 2.8; 1.3–6.1), whereas coffee consumption was inversely associated with risk (OR = 0.4; 0.2–0.7). We also found inverse associations between the intake of fish (OR = 0.5; 0.3–1.0) and carotene (OR = 0.5; 0.2–0.9) and risk of t(14;18)-negative NHL. There was no association between the intake of meats, vegetables, protein, or vitamin C and risk of either t(14;18)-positive or t(14;18)-negative NHL.
ConclusionWe observed differences in associations between diet and t(14;18)-defined subgroups of NHL. These findings should be interpreted cautiously because of the small sample.
This is a preview of subscription content, log in via an institution to check access.
Access this article Subscribe and saveSpringer+ Basic
€34.99 /Month
Price includes VAT (Germany)
Instant access to the full article PDF.
Similar content being viewed by others Explore related subjectsDiscover the latest articles and news from researchers in related subjects, suggested using machine learning. ReferencesJaffe ES, Harris NL, Stein H, Vardiman JW (2001) World Health Organization classification of tumors. Pathology and genetics of tumors of haematopoietic and lymphoid tissues. IARC Press, Lyon
de Jong D (2005) Molecular pathogenesis of follicular lymphoma: a cross talk of genetic and immunologic factors. J Clin Oncol 23:6358–6363
Lossos IS (2005) Molecular pathogenesis of diffuse large B-cell lymphoma. J Clin Oncol 23:6351–6357
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
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
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
Schroeder JC, Olshan AF, Dent RB et al (2002) A case–control study of tobacco use and other non-occupational risk factors for t(14;18) subtypes of non-Hodgkin’s lymphoma (United States). Cancer Causes Control 13:159–168
Janz S, Potter M, Rabkin CS (2003) Lymphoma- and leukemia-associated chromosomal translocations in healthy individuals. Genes Chromosomes Cancer 36:211–223
Vega F, Medeiros LJ (2003) Chromosomal translocations involved in non-Hodgkin lymphomas. Arch Pathol Lab Med 127:1148–1160
Aplan PD (2006) Causes of oncogenic chromosomal translocation. Trends Genet 22:46–55
Chiu BC, Lan Q, Dave BJ, Blair A, Zahm SH, Weisenburger DD (in press) The utility of t(14;18) in understanding risk factors for non-Hodgkin lymphoma. J Natl Cancer Inst Monogr
Zheng T, Holford TR, Leaderer B et al (2004) Diet and nutrient intakes and risk of non-Hodgkin’s lymphoma in connecticut women. Am J Epidemiol 159:454–466
Purdue MP, Bassani DG, Klar NS, Sloan M, Kreiger N (2004) Dietary factors and risk of non-Hodgkin lymphoma by histologic subtype: a case–control analysis. Cancer Epidemiol Biomarkers Prev 13:1665–1676
Chang ET, Smedby KE, Zhang SM et al (2005) Dietary factors and risk of non-Hodgkin lymphoma in men and women. Cancer Epidemiol Biomarkers Prev 14:512–520
Kelemen LE, Cerhan JR, Lim U et al (2006) Vegetables, fruit, and antioxidant-related nutrients and risk of non-Hodgkin lymphoma: a National Cancer Institute-Surveillance, Epidemiology, and End Results population-based case–control study. Am J Clin Nutr 83:1401–1410
Chang ET, Balter KM, Torrang A et al (2006) Nutrient intake and risk of non-Hodgkin’s lymphoma. Am J Epidemiol 164:1222–1232
Gaziev AI, Sologub GR, Fomenko LA, Zaichkina SI, Kosyakova NI, Bradbury RJ (1996) Effect of vitamin-antioxidant micronutrients on the frequency of spontaneous and in vitro gamma-ray-induced micronuclei in lymphocytes of donors: the age factor. Carcinogenesis 17:493–499
Mathers JC (2004) The biological revolution - towards a mechanistic understanding of the impact of diet on cancer risk. Mutat Res 551:43–49
Ward MH, Mark SD, Cantor KP, Weisenburger DD, Correa-Villasenor A, Zahm SH (1996) Drinking water nitrate and the risk of non-Hodgkin’s lymphoma. Epidemiology 7:465–471
Ward MH, Zahm SH, Weisenburger DD et al (1994) Dietary factors and non-Hodgkin’s lymphoma in Nebraska (United States). Cancer Causes Control 5:422–432
Dresser CM (1983) From nutrient data to a data base for a health and nutrition examination survey organization, coding, and values—real or imputed. International Nutrient Data Base Conference, Minneapolis, MN
Siciliano J, Krulick S, Heisler EG, Schwartz JH, White JW Jr (1975) Nitrate and nitrite content of some fresh and processed market vegetables. J Agric Food Chem 23:461–464
White JW Jr (1975) Relative significance of dietary sources of nitrate and nitrite. J Agric Food Chem 23:886–891
Maldonado G, Greenland S (1993) Simulation study of confounder-selection strategies. Am J Epidemiol 138:923–936
Ward MH, Cerhan JR, Colt JS, Hartge P (2006) Risk of non-Hodgkin lymphoma and nitrate and nitrite from drinking water and diet. Epidemiology 17:375–382
Carere A (2006) Genotoxicity and carcinogenicity of acrylamide: a critical review. Ann Ist Super Sanita 42:144–155
Dearfield KL, Harrington-Brock K, Doerr CL, Rabinowitz JR, Moore MM (1991) Genotoxicity in mouse lymphoma cells of chemicals capable of Michael addition. Mutagenesis 6:519–525
Franceschi S, Serraino D, Carbone A, Talamini R, La Vecchia C (1989) Dietary factors and non-Hodgkin’s lymphoma: a case–control study in the northeastern part of Italy. Nutr Cancer 12:333–341
Tavani A, Negri E, Franceschi S, Talamini R, La Vecchia C (1994) Coffee consumption and risk of non-Hodgkin’s lymphoma. Eur J Cancer Prev 3:351–356
Abraham SK (1989) Inhibition of in vivo genotoxicity by coffee. Food Chem Toxicol 27:787–792
Abraham SK, Stopper H (2004) Anti-genotoxicity of coffee against N-methyl-N-nitro-N-nitrosoguanidine in mouse lymphoma cells. Mutat Res 561:23–33
Bichler J, Cavin C, Simic T et al (2007) Coffee consumption protects human lymphocytes against oxidative and 3-amino-1-methyl-5H-pyrido[4,3-b]indole acetate (Trp-P-2) induced DNA-damage: Results of an experimental study with human volunteers. Food Chem Toxicol 45:1428–1436
Ursin G, Bjelke E, Heuch I, Vollset SE (1990) Milk consumption and cancer incidence: a Norwegian prospective study. Br J Cancer 61:456–459
Chiu BC, Cerhan JR, Folsom AR et al (1996) Diet and risk of non-Hodgkin lymphoma in older women. JAMA 275:1315–1321
De Stefani E, Fierro L, Barrios E, Ronco A (1998) Tobacco, alcohol, diet and risk of non-Hodgkin’s lymphoma: a case–control study in Uruguay. Leuk Res 22:445–452
Talamini R, Polesel J, Montella M et al (2005) Smoking and non-Hodgkin lymphoma: case–control study in Italy. Int J Cancer 115:606–610
Bertazzi PA, Consonni D, Bachetti S et al (2001) Health effects of dioxin exposure: a 20-year mortality study. Am J Epidemiol 153:1031–1044
De Roos AJ, Hartge P, Lubin JH et al (2005) Persistent organochlorine chemicals in plasma and risk of non-Hodgkin’s lymphoma. Cancer Res 65:11214–11226
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
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
Lander BF, Knudsen LE, Gamborg MO, Jarventaus H, Norppa H (2000) Chromosome aberrations in pesticide-exposed greenhouse workers. Scand J Work Environ Health 26:436–442
This research was supported by grants CA94770, CA100555, and CA132153 from the National Cancer Institute (NCI) and, in part, by the Intramural Research Program of the NIH (Division of Cancer Epidemiology and Genetics of the NCI). Dr. Evens was supported in part by an NCI award (K23 CA109613). The authors thank Mr. Martin Bast of the Nebraska Lymphoma Registry and Tissue Bank for coordinating the retrieval of the tumor blocks.
Author information Authors and AffiliationsDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, 680 North Lake Shore Drive, Suite 1102, Chicago, IL, 60611-4402, USA
Brian C.-H. Chiu, Angela J. Fought, Lifang Hou & Susan Gapstur
The Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA
Brian C.-H. Chiu, Susan Gapstur & Andrew M. Evens
Munroe Meyer Institute for Genetics and Rehabilitation, University of Nebraska Medical Center, Omaha, NE, USA
Bhavana J. Dave & Smrati Jain
Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE, USA
Bhavana J. Dave & Dennis D. Weisenburger
Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, DHHS, Bethesda, MD, USA
Mary H. Ward, Shelia Hoar Zahm & Aaron Blair
Divison of Hematology/Oncology Lymphoma Program, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
Andrew M. Evens
Correspondence to Brian C.-H. Chiu.
Additional information Specific contributions of all authors to published workB. C. Chiu helped to obtain funding for the project, provided input into the statistical analyses, and drafted and revised this report. B. J. Dave was responsible for molecular cytogenetic data collection and interpretation. S. Jain helped in molecular cytogenetic data analyses. A. Blair, S. H. Zahm, and D. D. Weisenburger designed and conducted the epidemiologic case–control study. M. H. Ward, S. M. Gapstur, A. Blair, A. J. Fought, L. Hou, A. M. Evens, and S. H. Zahm provided input into the data analyses and interpretation. D. D. Weisenburger was responsible for sample collection, and preparation and review of the cases. All authors contributed to the final version of this report.
About this article Cite this articleChiu, B.CH., Dave, B.J., Ward, M.H. et al. Dietary factors and risk of t(14;18)-defined subgroups of non-Hodgkin lymphoma. Cancer Causes Control 19, 859–867 (2008). https://doi.org/10.1007/s10552-008-9148-3
Received: 03 December 2007
Accepted: 14 March 2008
Published: 02 April 2008
Issue Date: October 2008
DOI: https://doi.org/10.1007/s10552-008-9148-3
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4