PMCCPMCCPMCC

Search tips
Search criteria 

Advanced

 
Logo of nihpaAbout Author manuscriptsSubmit a manuscriptHHS Public Access; Author Manuscript; Accepted for publication in peer reviewed journal;
 
Eur J Cancer Prev. Author manuscript; available in PMC 2013 November 1.
Published in final edited form as:
PMCID: PMC3397155
NIHMSID: NIHMS359535

Occupational Solvent Exposure, Genetic Variation of DNA Repair Genes, and Risk of Non-Hodgkin Lymphoma

Abstract

Objective

To test the hypothesis that genetic variations in DNA repair genes may modify the association between occupational exposure to solvents and the risk of non-Hodgkin lymphoma (NHL).

Methods

A population-based case-control study was conducted in Connecticut women including 518 histologically confirmed incident NHL cases and 597 controls. Unconditional logistic regression models were used to estimate odds ratios (OR) and effect modification from the 30 SNPs in 16 DNA repair genes of the association between solvent exposure and risk of NHL overall and subtypes.

Results

SNPs in MGMT (rs12917) and NBS1 (rs1805794) significantly modified the association between exposure to chlorinated solvents and NHL risk (Pforinteraction = 0.0003 and 0.0048 respectively). After stratified by major NHL histological subtypes, MGMT (rs12917) modified the association between chlorinated solvents and risk of diffuse large B-cell lymphoma (Pforinteraction = 0.0027) and follicular lymphoma (Pforinteraction = 0.0024). A significant interaction was also observed between occupational exposure to benzene and BRCA2 (rs144848) for NHL overall (Pforinteraction = 0.0042).

Conclusions

Our study results suggest that genetic variations in DNA repair genes modify the association between occupational exposure to solvents and risk of NHL.

Keywords: Non-Hodgkin Lymphoma, Occupational Exposure, Solvents, Single Nucleotide Polymorphism, DNA Repair Genes

Introduction

Non-Hodgkin lymphoma (NHL) is the fifth most common cancer among men and women in the United States [1]. The etiology of NHL remains largely unknown with the only established risk factor being immune dysregulation [2]. Occupational exposure to solvents has been suggested as a risk factor for NHL; however, results from epidemiological studies have been inconsistent [311]. One of the potential explanations for the observed conflicting results is variation in genetic susceptibility among study populations. Our recent study suggested that genetic variation in metabolic pathway genes may modify the association between solvent exposure and risk of NHL [12].

To further explore whether genetic variation in other biological pathways modify the solvent-NHL association, we selected DNA repair as a target pathway due to a recent finding that occupational exposure to solvents could increase DNA damage and decrease repair capacity [13]. In addition, genetic polymorphisms in DNA repair genes have also been linked to the risk of NHL [1417]. Here, we analyzed data from a population-based case-control study in Connecticut women to test the hypothesis that genetic polymorphisms in DNA repair pathway genes modify the association between occupational exposure to solvents and risk of NHL.

Methods

Study population

A detailed description of the study population has been published elsewhere [11, 12]. In brief, incident female NHL cases were indentified in 1996-2000 through the Yale Comprehensive Cancer Center’s Rapid Case Ascertainment Shared Resource, a component of the Connecticut Tumor Registry. Eligible cases included female residents of Connecticut diagnosed with NHL (ICD-O, M-9590-9642, 9690-9701, 9740-9750), who were aged between 21 and 84 years at the time of diagnosis, had no previous diagnosis of cancer (except non-melanoma skin cancer), and were alive at the time of the interview. A total of 601 NHL cases (72% of all eligible cases) agreed to participate in this study. All NHL cases were histologically confirmed by study pathologists and were classified according to the 2001 World Health Organization classification [18].

Population-based controls were recruited using random digit dialing (RDD) methods for women younger than 65 years or using random selection from the Centers for Medicare and Medicaid Services (CMMS) for women 65 years or older. The participation rate was 69% for RDD controls and 47% for CMMS controls. The controls were frequency matched to cases by age within 5-year groups. A total of 717 qualified controls completed in-person interview. The study was approved by the human investigation committees at Yale University, the Connecticut Department of Public Health, and the National Cancer Institute. Of the 601 cases and 717 controls, blood or buccal cell samples were available for 518 cases and 597 controls.

Interview

A standardized, structured questionnaire was employed to collect information on lifetime occupational history and other major suspected risk factors for NHL through in-person interviews. Information on occupational history included job/industry titles and employment dates. These self-reported jobs were coded to standardized occupation and industry classifications according to the 1980 Standard Occupational Classification Manual [19] and the 1987 Standard Industry Classification Manual [20] and linked to a generic job-exposure matrix developed by industrial hygienists at the National Cancer Institute to assess solvent exposures [21, 22]. The assessed exposures included the probability and intensity of exposure for each job and industry for any organic solvents, any chlorinated solvent, benzene, formaldehyde, and a number of individual chlorinated solvents including chloroform, carbon tetrachloride, dichloromethane, dichloroethane, methyl chloride, and trichloroethylene.

Genotyping

DNA was extracted from blood and buccal cell samples using phenol–chloroform extraction [23]. Genotyping was conducted at the National Cancer Institute's Core Genotyping Facility by using real-time polymerase chain reaction on an Applied Biosystems 7900HT sequence detection system (Life Technologies Corporation, Carlsbad, California) [24]. A total of 38 SNPs in 18 DNA repair genes were genotyped. Concordance rates for quality control samples were over 98%. The genotyping frequencies for three SNPs (rs2230009, rs16941, and rs25489) were not consistent with Hardy-Weinberg equilibrium among non-Hispanic white controls using a χ2 test (P < .05) and were excluded from the final analysis. Another 5 SNPs (rs766173, rs1799944, rs1799802, rs1805388, rs3734091) with minor allele frequency less than 10% were also excluded from the final analysis. A total of 30 SNPs in 16 DNA repair genes, BRCA1 (rs16940, rs799917, rs16942, rs1799966), BRCA2 (rs144848, rs4986856, rs543304, rs1799955, rs15869), APEX1 (rs1130409), ADPRT (rs1136410), ERCC1(rs3212961), ERCC2 (rs1799793, rs13181), ERCC5 (rs17655), MGMT (rs2308321, rs2308327, rs12917), NBS1 (rs1805794), RAD23B (rs1805329), XRCC1 (rs25487, rs1799782), XRCC2 (rs3218536), XRCC3 (rs861539), XRCC4 (rs1805377, rs1056503), WRN (rs1800391, rs1801195, rs1346044), XPC (rs2228001), were included in the final analysis.

Statistical analysis

The exposure variables were presented as dichotomous ever/never exposure metrics because of the small cell counts for some solvents within genotype strata when using multilevel exposure metrics. In addition, numbers of exposure to several individual solvents were small, the final analysis were conducted for any organic solvents, any chlorinated solvents, benzene, and formaldehyde. To increase the statistical power, heterozygous and homozygous variant genotypes were combined for all genes. Unconditional logistic regression model was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for associations between occupational exposure to solvents and risk of NHL and its subtypes in different genotype strata. Potential confounding variables included in the final models were age (< 50 years, 50–70 years, > 70 years), and race (white, black, other). Adjustments for other variables, such as cigarette smoking, alcohol consumption, and family history did not result in material changes in the observed associations, and these variables were not included in the final models reported here. Significance of gene-solvent interaction was assessed by adding an interaction term in the logistic models. The false discovery rate (FDR) method set at 0.2 was used to control for multiple comparisons [25]. All P values presented are 2-sided, and all analyses were performed using SAS Software Version 9.2 (SAS Institute).

Results

As shown in Table 1, SNPs in MGMT (rs12917) and NBS1 (rs1805794) modified the association between occupational exposure to chlorinated solvents and NHL risk (Pforinteraction = 0.0003 and 0.0048 respectively). The results remained statistically significant after adjustment for FDR. Compared to women who had no occupational exposure to chlorinated solvents, exposed women had an increased risk of NHL if they carried the MGMT (rs12917) CT/TT genotypes (OR=3.05, 95%CI: 1.76–5.29) or NBS1 (rs1805794) CG/CC genotypes (OR=2.04, 95%CI: 1.40–2.98), but not among women who carried the MGMT (rs12917) CC genotype (OR=1.02, 95%CI: 0.74–1.42) or NBS1 (rs1805794) GG genotype (OR=0.91, 95%CI: 0.61-1.37). Similar interaction was noted in MGMT (rs12917) and diffuse large B-cell lymphoma (Pforinteraction = 0.0027) and follicular lymphoma (Pforinteraction = 0.0024).

Table 1
Associations Between Occupational Exposure to Chlorinated Solvents, Benzene, DNA Repair Genes, and Risk of Non-Hodgkin lymphoma

A significant interaction was also observed between occupational exposure to benzene and BRCA2 (rs144848) for NHL overall (Pforinteraction = 0.0042). Compared to women without occupational exposure to benzene, exposed women experienced an increased risk of NHL if they carried the BRCA2 (rs144848) AA genotype (OR=1.72, 95%CI: 1.11–2.65), but not among women who carried the BRCA2 (rs144848) AC/CC genotypes (OR=0.66, 95%CI: 0.41–1.08). Although similar associations were also observed for diffuse large B-cell lymphoma and follicular lymphoma, the interactions were not statistically significant after adjustment for FDR (Pforinteraction = 0.1051 and 0.0247 respectively). Non-significant associations were presented in supplementary tables 1 to 4.

Discussion

To our knowledge, this is the first study to evaluate interactions between occupational exposure to solvents and genetic variations in DNA repair genes in relation to NHL. We investigated 30 SNPs in 16 DNA repair genes and found that MGMT (rs12917) and NBS1 (rs1805794) modified the association between chlorinated solvents exposure and NHL risk and that BRCA2 (rs144848) modified the association between benzene exposure and risk of NHL. No interactions were observed for other genes.

MGMT gene encodes a DNA repair protein, O6-alkylguanine-DNAalkyltransferase, which repairs O6-alkylguanine DNA adducts caused by environmental or therapeutic alkylating agents [26, 27], including chlorinated solvents. In vitro and in vivo data suggest that MGMT protects cells against the mutagenic and carcinogenic effects of alkylating agents [27, 28]. A one to 20-fold interindividual difference in methyltransferase activity has been observed among the cultured human fibroblasts [29]. Genetic polymorphisms of MGMT gene may cause variation in MGMT activities and result in varying susceptibility to environmental alkylating agents. It is also important to note that the MGMT (rs12917) polymorphism may affect the association indirectly, as it is in linkage disequilibrium with 12 other polymorphisms on the MGMT gene [30].

NBS1 is a member of the MRE11-RAD50-NBS1 tri-complex involved in DNA double-strand break repair [31, 32]. Mutations in NBS1 gene cause the disease Nijmegen breakage syndrome (NBS), which has been linked to an increased incidence of lymphoproliferative disorders [33, 34]. The NBS1 (rs1805794) polymorphism is a non-synonymous mutation causing the change of 185 Glu to Gln, which may possibly change the function of the NBS1 protein and then influences its repair capacity of DNA damage [35]. A recent study suggested that workers exposed to organic solvents had higher frequency of chromosome aberrations, and the frequency of chromosome aberrations varied by genetic susceptibility of DNA repair genes [36], consistent with the current study that carriers of a NBS1 (rs1805794) C minor allele had a higher risk of NHL than women who did not.

Benzene is a well-known human carcinogen. Benzene and its metabolites (i.e., benzene oxide, phenol, hydrochinone, catechol, and benzoquinones) generate different types of DNA lesions including double-strand breaks [37]. BRCA2 is involved in double-strand break repairs. Although the function of BRCA2 (rs144848) polymorphism is unclear, the amino acid substitution of asparagine to histidine may alter BRCA2 structure and function as it falls in a region that interacts with the histone acetyltransferase P/CAF prior to transcriptional activation of other genes [38]. The observed interaction between BRCA2 (rs144848) and benzene with respect to NHL deserves further investigation.

Several strengths and limitations existed in this study. This was a population-based case-control study with histologically confirmed incident NHL cases which minimized potential disease misclassification. The study had modest sample size, and statistical power was limited, particularly for NHL subtype analysis. As such, chance could not be ruled out for some of the significant findings; however, we adjusted for multiple comparisons using the FDR approach to minimize false positives. The study only included women, so the results may not be generalizable to men.

Use of a generic job-exposure matrix may have led to exposure misclassification. However, any exposure misclassification is likely to be non-differential and limited recall bias in job reporting has been demonstrated in previous studies [39, 40]. We applied the job-exposure matrix blinded to participant disease status to minimize differences between cases and controls [11]. Given our use of dichotomous solvent variables, any exposure misclassification is expected to have attenuated solvent effects.

In summary, our data suggested that variants in DNA repair genes modified association between solvent exposure and risk of NHL overall or its subtypes. Further research should be conducted with larger sample sizes to conduct further stratified analyses and other gene pathways that may modify the association of solvent exposure and NHL risk.

Supplementary Material

01

Acknowledgements

This work was supported by the National Institutes of Health research grant CA62006, the Intramural Research Program of the National Institutes of Health, National Cancer Institute, and the National Institutes of Health training grants 1D43TW008323-01, 1D43TW007864-01, CA105666, and HD70324-01.

Footnotes

Publisher's Disclaimer: This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final citable form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

References

1. Jemal A, Siegel R, Ward E, et al. Cancer statistics, 2009. CA Cancer J Clin. 2009;59:225–249. [PubMed]
2. Filipovich AH, Mathur A, Kamat D, et al. Primary immunodeficiencies: genetic risk factors for lymphoma. Cancer Res. 1992;52:5465s–5467s. [PubMed]
3. Cartwright RA, McKinney PA, O'Brien C, et al. Non-Hodgkin's lymphoma: case control epidemiological study in Yorkshire. Leuk Res. 1988;12:81–88. [PubMed]
4. Dryver E, Brandt L, Kauppinen T, et al. Occupational exposures and non-Hodgkin's lymphoma in Southern Sweden. Int J Occup Environ Health. 2004;10:13–21. [PubMed]
5. Fritschi L, Benke G, Hughes AM, et al. Risk of non-Hodgkin lymphoma associated with occupational exposure to solvents, metals, organic dusts and PCBs (Australia) Cancer Causes Control. 2005;16:599–607. [PubMed]
6. Glass DC, Gray CN, Jolley DJ, et al. The health watch case-control study of leukemia and benzene: the story so far. Ann N Y Acad Sci. 2006;1076:80–89. [PubMed]
7. Hardell L, Eriksson M, Degerman A. Exposure to phenoxyacetic acids, chlorophenols, or organic solvents in relation to histopathology, stage, and anatomical localization of non-Hodgkin's lymphoma. Cancer Res. 1994;54:2386–2389. [PubMed]
8. Persson B, Dahlander AM, Fredriksson M, et al. Malignant lymphomas and occupational exposures. Br J Ind Med. 1989;46:516–520. [PMC free article] [PubMed]
9. Tatham L, Tolbert P, Kjeldsberg C. Occupational risk factors for subgroups of non-Hodgkin's lymphoma. Epidemiology. 1997;8:551–558. [PubMed]
10. Tranah GJ, Holly EA, Bracci PM. Solvent exposure and non-Hodgkin lymphoma: no risk in a population-based study in the San Francisco Bay Area. Cancer Epidemiol Biomarkers Prev. 2009;18:3130–3132. [PMC free article] [PubMed]
11. Wang R, Zhang Y, Lan Q, et al. Occupational exposure to solvents and risk of non-Hodgkin lymphoma in Connecticut women. Am J Epidemiol. 2009;169:176–185. [PMC free article] [PubMed]
12. Barry KH, Zhang Y, Lan Q, et al. Genetic variation in metabolic genes, occupational solvent exposure, and risk of non-hodgkin lymphoma. Am J Epidemiol. 173:404–413. [PMC free article] [PubMed]
13. Torres CH, Varona ME, Lancheros A, et al. DNA damage assessment and biological monitoring of occupational exposure to organic solvents, 2006. Biomedica. 2008;28:126–138. [PubMed]
14. Schuetz JM, MaCarthur AC, Leach S, et al. Genetic variation in the NBS1, MRE11, RAD50 and BLM genes and susceptibility to non-Hodgkin lymphoma. BMC Med Genet. 2009;10:117. [PMC free article] [PubMed]
15. Shen M, Purdue MP, Kricker A, et al. Polymorphisms in DNA repair genes and risk of non-Hodgkin's lymphoma in New South Wales, Australia. Haematologica. 2007;92:1180–1185. [PubMed]
16. Shen M, Zheng T, Lan Q, et al. Polymorphisms in DNA repair genes and risk of non-Hodgkin lymphoma among women in Connecticut. Hum Genet. 2006;119:659–668. [PubMed]
17. Smedby KE, Lindgren CM, Hjalgrim H, et al. Variation in DNA repair genes ERCC2, XRCC1, and XRCC3 and risk of follicular lymphoma. Cancer Epidemiol Biomarkers Prev. 2006;15:258–265. [PubMed]
18. Jaffe ES, Stein H, Vardiman JW. France: IARC Press; 2001. World Health Organization Classification of Tumors: Pathology and Genetics of Tumors of Haematopoietic and Lymphoid Tissues Lyon.
19. US Department of Commerce. Standard Occupational Classification Manual. Washington DC: US Government Printing Office; 1980.
20. Office of Management and Budget. Standard Industrial Classification Manual. Washington DC: US Government Printing Office; 1987.
21. Dosemeci M, Cocco P, Gomez M, et al. Effects of three features of a job-exposure matrix on risk estimates. Epidemiology. 1994;5:124–127. [PubMed]
22. Gomez MR, Cocco P, Dosemeci M, et al. Occupational exposure to chlorinated aliphatic hydrocarbons: job exposure matrix. Am J Ind Med. 1994;26:171–183. [PubMed]
23. Garcia-Closas M, Egan KM, Abruzzo J, et al. Collection of genomic DNA from adults in epidemiological studies by buccal cytobrush and mouthwash. Cancer Epidemiol Biomarkers Prev. 2001;10:687–696. [PubMed]
24. Packer BR, Yeager M, Staats B, et al. SNP500Cancer: a public resource for sequence validation and assay development for genetic variation in candidate genes. Nucleic Acids Res. 2004;32:D528–D532. [PMC free article] [PubMed]
25. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Statist Soc B. 1995;57:289–300.
26. Deng C, Xie D, Capasso H, et al. Genetic polymorphism of human O6-alkylguanine-DNA alkyltransferase: identification of a missense variation in the active site region. Pharmacogenetics. 1999;9:81–87. [PubMed]
27. Inoue R, Abe M, Nakabeppu Y, et al. Characterization of human polymorphic DNA repair methyltransferase. Pharmacogenetics. 2000;10:59–66. [PubMed]
28. Iwakuma T, Sakumi K, Nakatsuru Y, et al. High incidence of nitrosamine-induced tumorigenesis in mice lacking DNA repair methyltransferase. Carcinogenesis. 1997;18:1631–1635. [PubMed]
29. Rudiger HW, Schwartz U, Serrand E, et al. Reduced O6-methylguanine repair in fibroblast cultures from patients with lung cancer. Cancer Res. 1989;49:5623–5626. [PubMed]
30. Bugni JM, Han J, Tsai MS, et al. Genetic association and functional studies of major polymorphic variants of MGMT. DNA Repair (Amst) 2007;6:1116–1126. [PubMed]
31. Kang J, Bronson RT, Xu Y. Targeted disruption of NBS1 reveals its roles in mouse development and DNA repair. EMBO J. 2002;21:1447–1455. [PubMed]
32. Theunissen JW, Kaplan MI, Hunt PA, et al. Checkpoint failure and chromosomal instability without lymphomagenesis in Mre11(ATLD1/ATLD1) mice. Mol Cell. 2003;12:1511–1523. [PubMed]
33. Weemaes CM, Hustinx TW, Scheres JM, et al. A new chromosomal instability disorder: the Nijmegen breakage syndrome. Acta Paediatr Scand. 1981;70:557–564. [PubMed]
34. Cerosaletti KM, Lange E, Stringham HM, et al. Fine localization of the Nijmegen breakage syndrome gene to 8q21: evidence for a common founder haplotype. Am J Hum Genet. 1998;63:125–134. [PubMed]
35. Jiang L, Liang J, Jiang M, et al. Functional polymorphisms in the NBS1 gene and acute lymphoblastic leukemia susceptibility in a Chinese population. Eur J Haematol. 86:199–205. [PubMed]
36. Hoyos-Giraldo LS, Carvajal S, Cajas-Salazar N, et al. Chromosome aberrations in workers exposed to organic solvents: Influence of polymorphisms in xenobiotic-metabolism and DNA repair genes. Mutat Res. 2009;666:8–15. [PubMed]
37. Hartwig A. The role of DNA repair in benzene-induced carcinogenesis. Chem Biol Interact. 184:269–272. [PubMed]
38. Fuks F, Milner J, Kouzarides T. BRCA2 associates with acetyltransferase activity when bound to P/CAF. Oncogene. 1998;17:2531–2534. [PubMed]
39. Baumgarten M, Siemiatycki J, Gibbs GW. Validity of work histories obtained by interview for epidemiologic purposes. Am J Epidemiol. 1983;118:583–591. [PubMed]
40. Bond GG, Bodner KM, Sobel W, et al. Validation of work histories obtained from interviews. Am J Epidemiol. 1988;128:343–351. [PubMed]