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. Author manuscript; available in PMC: 2010 May 1.
Published in final edited form as: Am J Hematol. 2009 May;84(5):279–282. doi: 10.1002/ajh.21386

Genetic polymorphisms in glutathione S-transferases (GSTs) and cytochrome P450s (CYPs), tobacco smoking, and risk of non-Hodgkin lymphoma

Briseis A Kilfoy 1,2, Tongzhang Zheng 1, Qing Lan 2, Xuesong Han 1, Qin Qin 3, Nathaniel Rothman 2, Theodore Holford 1, Yawei Zhang 1
PMCID: PMC2790381  NIHMSID: NIHMS158446  PMID: 19338043

Abstract

We investigated variation in GSTs and CYPs and smoking in a population-based case-control study of NHL including 1,115 women. Although risk of NHL was not altered by variant polymorphisms in GSTs or CYPs, it was significantly changed for DLBCL when considered in conjunction with smoking behavior, though only in non-smokers. An increased risk of DLBCL in non-smokers was associated with the variant G allele for GSTP1 (OR=1.6, 95%CI: 1.0–2.3) and CYP1A1 (OR=2.4; 95%CI: 1.0–5.7), but a decreased risk for the variant G allele for CYP1B1 (OR=0.6, 95%CI: 0.4–1.0). Our results confer support investigation of the gene-environment interaction in a larger study population of DLBCL.

Keywords: non-Hodgkin lymphoma, GSTs, CYPs, smoking

INTRODUCTION

Tobacco smoke contains carcinogens such as polycyclic aromatic hydrocarbons (PAHs), aldehydes, benzo[alpha]pyrene, ethylene oxide, 4-aminobiphenyl, and nitrosamines which are metabolically activated through xenobiotic metabolism by phase I and II enzymes, including cytochrome P450s (CYPs) and glutathione-S-transferases (GSTs). CYPs act by first adding a functional group making the compounds in tobacco smoke more electrophilic, and GSTs detoxify a broad array of chemical in tobacco smoke by conjugating them with glutathione (1). CYP and GST activity is important in detoxification reactions because electrophiles are potentially toxic species that can bind to nucleophiles, such as proteins and nucleic acids, and can cause cellular damage and genetic mutations. Polymorphisms in genes that code various types of CYPs and GSTs manifest as decreased or lack of enzyme activity (2), prompting the hypothesis that allelic variants may be associated with an impaired detoxification capacity and subsequently an overall increased susceptibility to cancer.

The investigation of genetic variation of CYPs and GSTs in relation to NHL risk has been limited to date (39). Differential susceptibility to NHL according to metabolic activity could provide important evidence supporting the role of carcinogenic compounds found in tobacco smoke or its metabolites in the etiology of NHL. We therefore investigated NHL risk in general and by subtype in relation to genetic variation in CYPs and GSTs and exposure to cigarette smoke in a population-based case-control study in Connecticut women.

RESULTS

The association between smoking and NHL in this genotyped population was consistent with the original report (10). Briefly, of the 597 controls, 52.8% reported ever smoking and 55.6% of the 518 cases reported ever smoking (Table 1). Women who smoked for 15 pack-years or more experienced a 30% increased risk of NHL overall. When stratified by NHL subtypes, a significantly increased risk was observed for follicular lymphoma among women who had smoked for 25 years or longer (OR=1.6, 95%CI: 1.0–2.5) or who had smoked for 15 pack-years or more (OR=1.6, 95%CI: 1.0–2.4). No association was observed between smoking behavior and risk of small lymphocytic lymphoma/chronic lymphocytic leukemia (SLL/CLL), marginal zone (MZ) lymphoma, or T cell lymphoma (data not shown).

Table 1.

Cigarette smoking and risk of NHL and NHL subtypes

NHL Overall DLBCL FL

Smoking Controls Cases OR(95%CI) Cases OR(95% CI) Cases OR(95% CI)
Never 282 230 1 70 1 50 1
Ever 315 288 1.1(0.9–1.4) 91 1.1(0.8–1.6) 69 1.2(0.8–1.8)
Duration
 <25 151 122 0.9(0.7–1.3) 44 1.0(0.7–1.6) 24 0.8(0.4–1.3)
 25+ 164 166 1.2(0.9–1.6) 47 1.2(0.8–1.9) 45 1.6(1.02.5)
Pack-Years
 <15 145 108 0.9(0.6–1.2) 37 0.9(0.6–1.4) 21 0.7(0.4–1.3)
 15+ 170 180 1.3(1.01.7) 54 1.3(0.9–2.0) 48 1.6(1.02.4)

DLBCL=Diffuse large B-cell lymphoma; FL=follicular lymphoma

Adjusted for age, race, and family history of NHL

When we looked at polymorphisms in GSTs and CYPs and risk of NHL by smoking status (Table 2), we found that the variant C allele of CYP1A2 was associated with an increased risk of NHL overall (OR=1.3, 95%CI: 1.0–1.7) among smokers. In the subtype analyses, we found an increased risk of DLBCL among non-smokers with the GSTP1 variant G allele (OR=1.6, 95%CI: 1.0–2.3) as well as the CYP1A1 variant G allele (OR=2.4; 95%CI: 1.0–5.7). However, a decreased risk of DLBCL was observed among non-smokers with a variant G CYP1B1 allele of (OR=0.6; 95%CI: 0.4–1.0). No statistically significantly altered risk of follicular lymphoma, of SLL/CLL, or of marginal zone lymphoma was found among either smokers or non-smokers with the genetic variations of interest.

Table 2.

Polymorphisms of GSTs and CYPs and risk of NHL and NHL subtypes among non-smokers and smokers

Overall Non-smokers Overall Smokers Overall DLBCL DLBCL Non-smokers DLBCL Smokers FL FL Non-Smokers FL Smoker

SNP Controls Cases OR(95%CI) Controls Cases OR(95%CI) Controls Cases OR(95%CI) Cases OR(95%CI) Cases OR(95%CI) Cases OR(95%CI) Cases OR(95%CI) Cases OR(95%CI) Cases OR(95%CI)
GSTM3 rs1799735
 + + 372 321 1 179 144 1 193 177 1 105 1 43 1 62 1 79 1 37 1 42 1
 + − or −− 159 138 1.1 (0.8–1.4) 71 59 1.1 (0.7–1.6) 88 79 1.0(0.7–1.4) 42 0.9 (0.6–1.4) 19 1.3(0.8–2.3) 23 0.8 (0.5–1.3) 27 0.8 (0.5–1.3) 8 0.8(0.4–1.6) 19 1.1 (0.6–1.8)
P-interaction 0.8347 0.4841 0.1746
GSTP1 rs1695
 AA 230 187 1 109 77 1 121 110 1 51 1 22 1 29 1 43 1 15 1 28 1
 AG or GG 302 271 1.1 (0.9–1.5) 140 124 1.3(0.9–1.8) 162 147 1.0(0.8–1.3) 96 1.5 (1.0–2.2) 40 1.6(1.02.3) 56 1.3 (0.9–1.8) 62 1.1 (0.7–1.7) 29 1.5 (0.9–2.4) 33 1.0 (0.6–1.5)
P-interaction 0.4177 0.8205 0.2121
CYP1A1 rs1048943
 AA 487 418 1 232 181 1 255 237 1 129 1 51 1 78 1 98 1 40 1 58 1
 AG or GG 39 33 1.0 (0.6–1.6) 16 18 1.3(0.7–2.6) 23 15 0.8(0.5–1.5) 15 1.5 (0.8–2.8) 9 2.4(1.05.7) 6 0.8 (0.3–2.1) 6 0.8 (0.3–1.9) 4 1.5 (0.5–4.6) 2 0.8(0.3–2.2)
P-interaction 0.1355 0.0891 0.1379
CYP1A2 rs762551
 AA 267 211 1 124 98 1 143 113 1 72 1 33 1 39 1 50 1 23 1 27 1
 AC or CC 267 245 1.2 (0.9–1.5) 126 104 1.0(0.8–1.4) 141 141 1.3(1.01.7) 74 1.1 (0.7–1.6) 28 1.0(0.6–1.6) 46 1.2(0.9–1.8) 55 1.1 (0.8–1.7) 22 1.0 (0.6–1.7) 33 1.3 (0.9–2.0)
P-interaction 0.5496 0.4783 0.7182
CYP1B1 rs1056836
 CC 194 170 1 89 79 1 105 91 1 62 1 27 1 35 1 33 1 13 1 20 1
 CG or GG 326 274 1.0 (0.7–1.3) 153 118 0.8(0.6–1.1) 173 156 1.1(0.9–1.4) 77 0.8 (0.5–1.1) 31 0.6(0.41.0) 46 1.1(0.8–1.5) 70 1.3 (0.8–2.0) 31 1.1 (0.7–1.7) 39 1.2 (0.8–1.7)
P-interaction 0.4508 0.5174 0.746

DLBCL=Diffuse large B-cell lymphoma; FL=follicular lymphoma;

Adjusted for age, race, and family history of NHL

*

The first p-value is when genotype is used as an ordinal variable; the second p-value is when genotype is used as a categorical variable

DISCUSSION

We evaluated SNPs that were drawn from 5 key genes that play a role in the mediation of carcinogen metabolism. Overall, our results presented modest evidence that the potential relationship between NHL and the absence or presence of smoke exposure may be modified by common genetic variation in CYP and GST genes, particularly for DLBCL. However, the limited case numbers, especially for the homozygous variant persons, suggest that these findings should be further pursued in a larger study population.

Prior investigation into the association of smoking and NHL has been inconsistent (1117). An analysis of pooled case-control studies, including the current study, found that there is a modest increased risk from smoking in individuals with follicular lymphoma (18). However, our study found that genetic variation in GST and CYP genes did not significantly modify the relationship between cigarette smoking and risk of follicular lymphoma. This suggests that the carcinogens in tobacco smoke may overwhelm the metabolic system such that polymorphisms in individual metabolic enzymes do not alter the risk of follicular lymphoma

The findings between CYP and GST polymorphisms and risk of DLBCL in the non-smoking population are interesting. We did not expect to find the increased risk in non-smokers. However, DLBCL is a molecularly heterogeneous disease with multiple complex chromosomal translocations and genetic abnormalities. Previous research has suggested that immunological and hormonal factors may play an important role in the development of DLBCL (1922). In fact, the current study has reported a reduced risk of DLBCL for women who had four or more pregnancies (23) as well as for women who reported HRT use (24). Our results suggest that polymorphisms in genes that are involved in the endogenous hormone metabolic pathway may affect the risk of DLBCL.

The CYP1A1 gene is associated with variation in estrogen levels (25). CYP1A1 is involved in estrogen catabolism and the conversion of estrone and estrodiol to water-soluble metabolites, thus affecting estrogenic function and potentially impacting rates of hormone related carcinogenesis (25). The finding that genetic variation in CYP1A1 and an increased risk of DLBCL in non-smokers is biologically plausible as smoking typically lowers estrogen levels, making an observable effect of this mechanism more likely in non-smokers. CYP1B1 is involved in the activation of benzo[a]pyrene, a chemical found in tobacco smoke, and mutations in CYP1B1 significantly decrease the enzyme’s ability to metabolize such carcinogens. In our study, we found a decreased risk of NHL in non-smokers in those with the variant genotypes. As CYP1B1 is involved in phase I conjugation, we suspect that the decreased risk is a function of the lower rate of metabolism of carcinogens not necessarily included in tobacco smoke.

The GSTP1 variant investigated consists of an A-to-G substitution at base pair 313 at codon 105 resulting in an amino acid difference, from isoleucine to valine (26). Previous studies have shown that the activity of the isoleucine 105 variant toward several carcinogenic diol epoxides is lower compared with that of the valine 105 form (27, 28). This result was confirmed by the finding that GSTP1 Val possesses up to fivefold more enzymatic activity than in GSTP1 Ile/Val or Ile/Ile (29, 30). In our population, the increased risk associated with GSTP1 Val/Val was observed in the non-smokers. Although it is possible that the non-smokers are exposed to PAHs from sources not measured in this study, the increased risk of DLBCL in non-smokers suggests that the role of increased enzymatic activity on potentially harmful endogenous factors may be of interest. Increased enzymatic activity of GSTP1 Val increases metabolism of estrogens resulting in a reduction of estrogen levels, which may lead to an increased risk of DLBCL.

Our study has several strengths. It is a population-based, case-control study with both incident cases that are histologically confirmed and highly accurate genotyping data. The primary limitation of our study is that the sample size is modest and the number of cases in several histologic subgroups was small. This resulted in reduced power to detect associations for SNPs with low allele frequencies. It was limited to women and may be non-generalizable to the entire population. Information bias, resulting from exposure misclassification is likely to have been non-differential, thus biasing our risk estimates towards the null. The positive findings in our report require replication in larger studies with greater power, which will be particularly valuable if tagged SNPs with full genomic coverage of the most promising candidate genes are used.

In summary, our study suggested that the common genetic variation in the metabolic pathway genes may be associated with the risk of DLBCL and the risk may be modified by cigarette smoking. A detailed, extensive genomic analysis of genes that play a role in the metabolic pathway is warranted in future studies. Further, these findings require replication in larger studies and ultimately in pooled analyses.

METHODS

The study population has previously been described in detail elsewhere (16, 24, 31). Briefly, from 1996 to 2000, all histologically confirmed incident female NHL cases aged 21–84 years old in Connecticut, alive at the time of interview and without a previous diagnosis of cancer except for non-melanoma skin cancer, were identified through the Yale Cancer Center’s Rapid Case Ascertainment Shared Resource (RCA). The study was approved by the Institutional Review Board at Yale University, the Connecticut Department of Public Health, and the National Cancer Institute. Written, informed consent was obtained from each subject and participation was voluntary.

We selected five single nucleotide polymorphisms (SNPs) for genotyping in the following genes: GSTM3 (rs1799735), GSTP1 (rs1695), CYP1A1 (rs1048943), CYP1A2 (rs762551), and CYP1B1 (rs1056836). These genes were selected given their role in tobacco smoke metabolism. DNA was extracted from blood or buccal cell samples using phenol chloroform extraction. Genotyping was carried out by real-time PCR on an ABI 7900HT sequence detection system as described on the SNP500 website (http://www.snp500cancer.nci.nih.gov). Duplicate samples from 100 study subjects and 40 replicate samples from each of two blood donors were interspersed throughout the plates used for genotype analysis. The concordance rates for quality control samples were 99–100% for all assays. We observed no significant departure from Hardy-Weinberg equilibrium in the control population for any of the SNPs analyzed.

Unconditional logistic regression models were used to estimate the ORs and the 95% CIs for associations between cigarette smoking, polymorphisms in GSTs and CYPs and risk of NHL, adjusting for age and race. Adjustment for other potential confounding variables such as education, DNA source, and alcohol use, did not result in material changes of the observed associations. Gene dosage effects were evaluated by assessing the linear trend of the genotypes. Analyses were also conducted for five major histological subtypes of NHL according to the World Health Organization (WHO) classification. All tests were two-sided with significance level of 0.05 using SAS 8.2 (SAS Institute Inc., Cary, NC).

Acknowledgments

This research was supported in part by National Institutes of Health research grant CA62006 and by Intramural Research Programof the NIH.

References

  • 1.Strange RC, Jones PW, Fryer AA. Glutathione S-transferase: genetics and role in toxicology. Toxicology Letters. 2000;112–113:357–363. doi: 10.1016/s0378-4274(99)00230-1. [DOI] [PubMed] [Google Scholar]
  • 2.Strange RC, Fryer AA. The glutathione S-transferases: influence of polymorphism on cancer susceptibility. IARC Scientific Publications. 1999:231–249. [PubMed] [Google Scholar]
  • 3.De Roos AJ, Gold LS, Wang S, Hartge P, Cerhan JR, Cozen W, Yeager M, Chanock S, Rothman N, Severson RK. Metabolic Gene Variants and Risk of Non-Hodgkin’s Lymphoma. 2006:1647–1653. doi: 10.1158/1055-9965.EPI-06-0193. [DOI] [PubMed] [Google Scholar]
  • 4.Chiu BC, Kolar C, Gapstur SM, Lawson T, Anderson JR, Weisenburger DD. Association of NAT and GST polymorphisms with non-Hodgkin’s lymphoma: a population-based case-control study. 2005 Mar;:610–615. doi: 10.1111/j.1365-2141.2004.05358.x. [DOI] [PubMed] [Google Scholar]
  • 5.Kerridge I, Lincz L, Scorgie F, Hickey D, Granter N, Spencer A. Association between xenobiotic gene polymorphisms and non-Hodgkin’s lymphoma risk. 2002 Aug;:477–481. doi: 10.1046/j.1365-2141.2002.03606.x. [DOI] [PubMed] [Google Scholar]
  • 6.Sarmanova J, Benesova K, Gut I, Nedelcheva-Kristensen V, Tynkova L, Soucek P. Genetic polymorphisms of biotransformation enzymes in patients with Hodgkin’s and non-Hodgkin’s lymphomas. 2001 Jun;:1265–1273. 1261. doi: 10.1093/hmg/10.12.1265. [DOI] [PubMed] [Google Scholar]
  • 7.Skibola CF, Lightfoot T, Agana L, Smith A, Rollinson S, Kao A, Adamson P, Morgan GJ, Smith MT, Roman E. Polymorphisms in cytochrome P450 17A1 and risk of non-Hodgkin lymphoma. 2005 Jun;:618–621. doi: 10.1111/j.1365-2141.2005.05505.x. [DOI] [PubMed] [Google Scholar]
  • 8.Soucek P, Sarmanova J, Kristensen VN, Apltauerova M, Gut I. Genetic polymorphisms of biotransformation enzymes in patients with Hodgkin’s and non-Hodgkin’s lymphomas. 2002 Oct;:S86–92. doi: 10.1007/s00420-002-0353-1. [DOI] [PubMed] [Google Scholar]
  • 9.Gra OA, Glotov AS, Nikitin EA, Glotov OS, Kuznetsova VE, Chudinov AV, Sudarikov AB, Nasedkina TV. Polymorphisms in xenobiotic-metabolizing genes and the risk of chronic lymphocytic leukemia and non-Hodgkin’s lymphoma in adult Russian patients. American journal of hematology. 2008;83:279–287. doi: 10.1002/ajh.21113. [DOI] [PubMed] [Google Scholar]
  • 10.Morton LM, Hartge P, Holford TR, Holly EA, Chiu BCH, Vineis P, Stagnaro E, Willett EV, Franceschi S, La Vecchia C, Hughes AM, Cozen W, Davis S, Severson RK, Bernstein L, Mayne ST, Dee FR, Cerhan JR, Zheng T. Cigarette smoking and risk of non-Hodgkin lymphoma: a pooled analysis from the International Lymphoma Epidemiology Consortium (interlymph) Cancer Epidemiology, Biomarkers & Prevention. 2005;14:925–933. doi: 10.1158/1055-9965.EPI-04-0693. [DOI] [PubMed] [Google Scholar]
  • 11.Adami J, Nyren O, Bergstrom R, Ekbom A, Engholm G, Englund A, Glimelius B. Smoking and the risk of leukemia, lymphoma, and multiple myeloma (Sweden) 1998 Jan;:49–56. doi: 10.1023/a:1008897203337. [DOI] [PubMed] [Google Scholar]
  • 12.Tavani A, Negri E, Franceschi S, Serraino D, La Vecchia C. Smoking habits and non-Hodgkin’s lymphoma: a case-control study in northern Italy. 1994 Jul;:447–452. doi: 10.1006/pmed.1994.1061. [DOI] [PubMed] [Google Scholar]
  • 13.Zahm SH, Weisenburger DD, Holmes FF, Cantor KP, Blair A. Tobacco and non-Hodgkin’s lymphoma: combined analysis of three case-control studies (United States) 1997 Mar;:159–166. doi: 10.1023/a:1018412027985. [DOI] [PubMed] [Google Scholar]
  • 14.McLaughlin JK, Hrubec Z, Blot WJ, Fraumeni JF., Jr Smoking and cancer mortality among U.S. veterans: a 26-year follow-up. 1995 Jan;:190–193. 1917. [PubMed] [Google Scholar]
  • 15.Herrinton LJ, Friedman GD. Cigarette smoking and risk of non-Hodgkin’s lymphoma subtypes. 1998 Jan;:25–28. [PubMed] [Google Scholar]
  • 16.Morton LM, Holford TR, Leaderer B, Boyle P, Zahm SH, Zhang Y, Flynn S, Tallini G, Zhang B, Owens PH, Zheng T. Cigarette smoking and risk of non-Hodgkin lymphoma subtypes among women. British Journal of Cancer. 2003;89:2087–2092. doi: 10.1038/sj.bjc.6601388. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Stagnaro E, Tumino R, Parodi S, Crosignani P, Fontana A, Masala G, Miligi L, Nanni O, Ramazzotti V, Rodella S, Senoiri Constantini A, Vigano C, Vindigni C, Vineis P. Non-Hodgkin’s lymphoma and type of tobacco smoke. 2004 Mar;:431–437. [PubMed] [Google Scholar]
  • 18.Morton LM, Zheng T, Holford TR, Holly EA, Chiu BCH, Costantini AS, Stagnaro E, Willett EV, Dal Maso L, Serraino D, Chang ET, Cozen W, Davis S, Severson RK, Bernstein L, Mayne ST, Dee FR, Cerhan JR, Hartge P, InterLymph C. Alcohol consumption and risk of non-Hodgkin lymphoma: a pooled analysis. Lancet Oncology. 2005;6:469–476. doi: 10.1016/S1470-2045(05)70214-X. [see comment] [DOI] [PubMed] [Google Scholar]
  • 19.Monti S, Savage KJ, Kutok JL, Feuerhake F, Kurtin P, Mihm M, Wu B, Pasqualucci L, Neuberg D, Aguiar RC, Dal Cin P, Ladd C, Pinkus GS, Salles G, Harris NL, Dalla-Favera R, Habermann TM, Aster JC, Golub TR, Shipp MA. Molecular profiling of diffuse large B-cell lymphoma identifies robust subtypes including one characterized by host inflammatory response. 2005 Mar;:1851–1861. doi: 10.1182/blood-2004-07-2947. [see comment] 1851. [DOI] [PubMed] [Google Scholar]
  • 20.Shaffer AL, Yu X, He Y, Boldrick J, Chan EP, Staudt LM. BCL-6 represses genes that function in lymphocyte differentiation, inflammation, and cell cycle control. 2000 Aug;:199–212. doi: 10.1016/s1074-7613(00)00020-0. [DOI] [PubMed] [Google Scholar]
  • 21.Rothman N, Skibola CF, Wang SS, Morgan G, Lan Q, Smith MT, Spinelli JJ, Willett E, De Sanjose S, Cocco P, Berndt SI, Brennan P, Brooks-Wilson A, Wacholder S, Becker N, Hartge P, Zheng T, Roman E, Holly EA, Boffetta P, Armstrong B, Cozen W, Linet M, Bosch FX, Ennas MG, Holford TR, Gallagher RP, Rollinson S, Bracci PM, Cerhan JR, Whitby D, Moore PS, Leaderer B, Lai A, Spink C, Davis S, Bosch R, Scarpa A, Zhang Y, Severson RK, Yeager M, Chanock S, Nieters A. Genetic variation in TNF and IL10 and risk of non-Hodgkin lymphoma: a report from the InterLymph Consortium. 2006 Jan;:27–38. doi: 10.1016/S1470-2045(05)70434-4. [see comment] [DOI] [PubMed] [Google Scholar]
  • 22.Lech-Maranda E, Baseggio L, Bienvenu J, Charlot C, Berger F, Rigal D, Warzocha K, Coiffier B, Salles G. Interleukin-10 gene promoter polymorphisms influence the clinical outcome of diffuse large B-cell lymphoma. 2004 May;:3529–3534. doi: 10.1182/blood-2003-06-1850. [see comment] 3521. [DOI] [PubMed] [Google Scholar]
  • 23.Zhang Y, Holford TR, Leaderer B, Boyle P, Zahm SH, Zhang B, Zou K, Morton LM, Owens PH, Flynn S, Tallini G, Zheng T. Menstrual and reproductive factors and risk of non-Hodgkin’s lymphoma among Connecticut women. 2004 Oct;:766–773. doi: 10.1093/aje/kwh278. 2015. [DOI] [PubMed] [Google Scholar]
  • 24.Zhang Y, Holford TR, Leaderer B, Zahm SH, Boyle P, Morton LM, Zhang B, Zou K, Flynn S, Tallini G, Owens PH, Zheng T. Prior medical conditions and medication use and risk of non-Hodgkin lymphoma in Connecticut United States women. Cancer Causes & Control. 2004;15:419–428. doi: 10.1023/B:CACO.0000027506.55846.5d. [DOI] [PubMed] [Google Scholar]
  • 25.Sowers MR, Wilson AL, Kardia SR, Chu J, McConnell DS. CYP1A1 and CYP1B1 polymorphisms and their association with estradiol and estrogen metabolites in women who are premenopausal and perimenopausal. 2006 Sep;:S44–51. doi: 10.1016/j.amjmed.2006.07.006. [DOI] [PubMed] [Google Scholar]
  • 26.Kellen E, Hemelt M, Broberg K, Golka K, Kristensen VN, Hung RJ, Matullo G, Mittal RD, Porru S, Povey A, Schulz WA, Shen J, Buntinx F, Zeegers MP, Taioli E. Pooled analysis and meta-analysis of the glutathione S-transferase P1 Ile 105Val polymorphism and bladder cancer: a HuGE-GSEC review. 2007 Jun;:1221–1230. doi: 10.1093/aje/kwm003. 1221. [DOI] [PubMed] [Google Scholar]
  • 27.Hu X, O’Donnell R, Srivastava SK, Xia H, Zimniak P, Nanduri B, Bleicher RJ, Awasthi S, Awasthi YC, Ji X, Singh SV. Active site architecture of polymorphic forms of human glutathione S-transferase P1-1 accounts for their enantioselectivity and disparate activity in the glutathione conjugation of 7beta,8alpha-dihydroxy-9alpha,10alpha-ox y-7,8,9,10-tetrahydrobenzo(a)pyrene. 1997 Jun;:424–428. doi: 10.1006/bbrc.1997.6777. 1918. [DOI] [PubMed] [Google Scholar]
  • 28.Hu X, Ji X, Srivastava SK, Xia H, Awasthi S, Nanduri B, Awasthi YC, Zimniak P, Singh SV. Mechanism of differential catalytic efficiency of two polymorphic forms of human glutathione S-transferase P1-1 in the glutathione conjugation of carcinogenic diol epoxide of chrysene. 1997 Sep;:32–38. doi: 10.1006/abbi.1997.0269. 1991. [DOI] [PubMed] [Google Scholar]
  • 29.Mao GE, Morris G, Lu QY, Cao W, Reuter VE, Cordon-Cardo C, Dalbagni G, Scher HI, deKernion JB, Zhang ZF. Glutathione S-transferase P1 Ile105Val polymorphism, cigarette smoking and prostate cancer. 2004:368–374. doi: 10.1016/j.cdp.2004.07.003. [DOI] [PubMed] [Google Scholar]
  • 30.Sundberg K, Johansson AS, Stenberg G, Widersten M, Seidel A, Mannervik B, Jernstrom B. Differences in the catalytic efficiencies of allelic variants of glutathione transferase P1-1 towards carcinogenic diol epoxides of polycyclic aromatic hydrocarbons. 1998 Mar;:433–436. doi: 10.1093/carcin/19.3.433. [DOI] [PubMed] [Google Scholar]
  • 31.Lan QZT, Shen M, Zhang Y, Wang SS, Zahm SH, Holford TR, Leaderer B, Boyle P, Chanock S. Genetic polymorphisms in the oxidative stress pathway and susceptibility to non-Hodgkin lymphoma. Hum Genet. 2007;121:161–168. doi: 10.1007/s00439-006-0288-9. [DOI] [PubMed] [Google Scholar]

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