Research article Special Issues

Associations of CYP1A1 gene polymorphisms and risk of breast cancer in Indian women: a meta-analysis

  • Received: 06 August 2015 Accepted: 15 October 2015 Published: 25 January 2015
  • Reported associations of CYP1A1 polymorphisms with breast cancer have been inconsistent. In this meta-analysis examining breast cancer associations of three CYP1A1 polymorphisms (M1, M2 and M4) among Indian women may yield information that may be of clinical and epidemiological use for this particular demography. We searched MEDLINE using PubMed and Embase for association studies. From seven published case-control studies, we estimated overall associations and applied subgroup analysis to explore differential effects. All three polymorphisms exhibited overall increased risk, significant in M1 (OR 1.61-1.65, p = 0.04) and M4 (OR 2.02-3.92, p = 0.02-0.04). Differential effects were observed only in the M1 polymorphism where M1 effects were significant in South Indians (OR 2.20-4.34, p < 0.0001) but not the North population, who were at reduced risk (OR 0.64-0.77, p = 0.03-0.55). These populations were not materially different in regard to M2 and M4 as did the women stratified by menopausal status. In this meta-analysis, M1 and M4 effects may render Indian women susceptible, but may be limited by heterogeneity of the studies. Differential effects of the M1 polymorphism in breast cancer render South Indians susceptible compared to those in the North.

    Citation: Noel Pabalan, Neetu Singh, Eloisa Singian, Caio Parente Barbosa, Bianca Bianco, Hamdi Jarjanazi. Associations of CYP1A1 gene polymorphisms and risk of breast cancer in Indian women: a meta-analysis[J]. AIMS Genetics, 2015, 2(4): 250-262. doi: 10.3934/genet.2015.4.250

    Related Papers:

  • Reported associations of CYP1A1 polymorphisms with breast cancer have been inconsistent. In this meta-analysis examining breast cancer associations of three CYP1A1 polymorphisms (M1, M2 and M4) among Indian women may yield information that may be of clinical and epidemiological use for this particular demography. We searched MEDLINE using PubMed and Embase for association studies. From seven published case-control studies, we estimated overall associations and applied subgroup analysis to explore differential effects. All three polymorphisms exhibited overall increased risk, significant in M1 (OR 1.61-1.65, p = 0.04) and M4 (OR 2.02-3.92, p = 0.02-0.04). Differential effects were observed only in the M1 polymorphism where M1 effects were significant in South Indians (OR 2.20-4.34, p < 0.0001) but not the North population, who were at reduced risk (OR 0.64-0.77, p = 0.03-0.55). These populations were not materially different in regard to M2 and M4 as did the women stratified by menopausal status. In this meta-analysis, M1 and M4 effects may render Indian women susceptible, but may be limited by heterogeneity of the studies. Differential effects of the M1 polymorphism in breast cancer render South Indians susceptible compared to those in the North.


    加载中
    [1] Dikshit R, Gupta PC, Ramasundarahettige C, et al. (2012) Cancer mortality in India: a nationally representative survey. Lancet 379: 1807-1816. doi: 10.1016/S0140-6736(12)60358-4
    [2] Vargo-Gogola T, Rosen JM (2007) Modelling breast cancer: one size does not fit all. Nat Rev Cancer 7: 659-672. doi: 10.1038/nrc2193
    [3] Nickels S, Truong T, Hein R, et al. (2013) Evidence of gene-environment interactions between common breast cancer susceptibility loci and established environmental risk factors. PLoS Genet 9: e1003284. doi: 10.1371/journal.pgen.1003284
    [4] Chen C, Huang Y, Li Y, et al. (2007) Cytochrome P450 1A1 (CYP1A1) T3801C and A2455G polymorphisms in breast cancer risk: a meta-analysis. J Hum Genet 52: 423-435. doi: 10.1007/s10038-007-0131-8
    [5] Sergentanis TN, Economopoulos KP (2010) Four polymorphisms in cytochrome P450 1A1 (CYP1A1) gene and breast cancer risk: a meta-analysis. Breast Cancer Res Treat 122: 459-469. doi: 10.1007/s10549-009-0694-5
    [6] Yao L, Yu X, Yu L (2010) Lack of significant association between CYP1A1 T3801C polymorphism and breast cancer risk: a meta-analysis involving 25,087 subjects. Breast Cancer Res Treat 122: 503-507. doi: 10.1007/s10549-009-0717-2
    [7] Syamala VS, Syamala V, Sheeja VR, et al. (2010) Possible risk modification by polymorphisms of estrogen metabolizing genes in familial breast cancer susceptibility in an Indian population. Cancer Invest 28: 304-311. doi: 10.3109/07357900902744494
    [8] Surekha D, Sailaja K, Rao DN, et al. (2009) Association of CYP1A1*2 polymorphisms with breast cancer risk: a case control study. Indian J Med Sci 63: 13-20. doi: 10.4103/0019-5359.49077
    [9] Singh V, Rastogi N, Sinha A, et al. (2007) A study on the association of cytochrome-P450 1A1 polymorphism and breast cancer risk in north Indian women. Breast Cancer Res Treat 101: 73-81. doi: 10.1007/s10549-006-9264-2
    [10] Singh N, Mitra AK, Garg VK, et al. (2007) Association of CYP1A1 polymorphisms with breast cancer in North Indian women. Oncol Res 16: 587-597. doi: 10.3727/000000007783629972
    [11] Naushad SM, Reddy CA, Rupasree Y, et al. (2011) Cross-talk between one-carbon metabolism and xenobiotic metabolism: implications on oxidative DNA damage and susceptibility to breast cancer. Cell Biochem Biophys 61: 715-723. doi: 10.1007/s12013-011-9245-x
    [12] Chacko P, Joseph T, Mathew BS, et al. (2005) Role of xenobiotic metabolizing gene polymorphisms in breast cancer susceptibility and treatment outcome. Mutat Res 581: 153-163. doi: 10.1016/j.mrgentox.2004.11.018
    [13] Kiruthiga PV, Kannan MR, Saraswathi C, et al. (2011) CYP1A1 gene polymorphisms: lack of association with breast cancer susceptibility in the southern region (Madurai) of India. Asian Pac J Cancer Prev 12: 2133-2138.
    [14] Masson LF, Sharp L, Cotton SC, et al. (2005) Cytochrome P-450 1A1 gene polymorphisms and risk of breast cancer: a HuGE review. Am J Epidemiol 161: 901-915. doi: 10.1093/aje/kwi121
    [15] Kawajiri K, Nakachi K, Imai K, et al. (1990) Identification of genetically high risk individuals to lung cancer by DNA polymorphisms of the cytochrome P450IA1 gene. FEBS Lett 263: 131-133. doi: 10.1016/0014-5793(90)80721-T
    [16] Hayashi SI, Watanabe J, Nakachi K, et al. (1991) PCR detection of an A/G polymorphism within exon 7 of the CYP1A1 gene. Nucleic Acids Res 19: 4797.
    [17] Cascorbi I, Brockmoller J, Roots I (1996) A C4887A polymorphism in exon 7 of human CYP1A1: population frequency, mutation linkages, and impact on lung cancer susceptibility. Cancer Res 56: 4965-4969.
    [18] Li Y, Millikan RC, Bell DA, et al. (2005) Polychlorinated biphenyls, cytochrome P450 1A1 (CYP1A1) polymorphisms, and breast cancer risk among African American women and white women in North Carolina: a population-based case-control study. Breast Cancer Res 7: R12-18.
    [19] Crofts F, Taioli E, Trachman J, et al. (1994) Functional significance of different human CYP1A1 genotypes. Carcinogenesis 15: 2961-2963. doi: 10.1093/carcin/15.12.2961
    [20] Kiyohara C, Hirohata T, Inutsuka S (1996) The relationship between aryl hydrocarbon hydroxylase and polymorphisms of the CYP1A1 gene. Jpn J Cancer Res 87: 18-24. doi: 10.1111/j.1349-7006.1996.tb00194.x
    [21] Li Y, Millikan RC, Bell DA, et al. (2004) Cigarette smoking, cytochrome P4501A1 polymorphisms, and breast cancer among African-American and white women. Breast Cancer Res 6: R460-473. doi: 10.1186/bcr814
    [22] Moher D, Liberati A, Tetzlaff J, et al. (2009) Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med 151: 264-269, W264. doi: 10.7326/0003-4819-151-4-200908180-00135
    [23] Wells S PJ, Welch V. The newcastle-ottawa scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. Ottawa Health Research Institute, 2011. Available from: www.ohri.ca/programs/clinical_epidemiology/oxford/asp.
    [24] Mantel N, Haenszel W (1959) Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst 22: 719-748.
    [25] DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7: 177-188. doi: 10.1016/0197-2456(86)90046-2
    [26] Lau J, Ioannidis JP, Schmid CH (1997) Quantitative synthesis in systematic reviews. Ann Intern Med 127: 820-826. doi: 10.7326/0003-4819-127-9-199711010-00008
    [27] Higgins JP, Thompson SG (2002) Quantifying heterogeneity in a meta-analysis. Stat Med 21: 1539-1558. doi: 10.1002/sim.1186
    [28] Higgins JP, Thompson SG, Deeks JJ, et al. (2003) Measuring inconsistency in meta-analyses. Bmj 327: 557-560. doi: 10.1136/bmj.327.7414.557
    [29] Gautham M, Shyamprasad KM, Singh R, et al. (2014) Informal rural healthcare providers in North and South India. Health Policy Plan 29 Suppl 1: i20-29.
    [30] Ravindran RD, Vashist P, Gupta SK, et al. (2011) Prevalence and risk factors for vitamin C deficiency in north and south India: a two centre population based study in people aged 60 years and over. PLoS One 6: e28588. doi: 10.1371/journal.pone.0028588
    [31] Ioannidis JP, Trikalinos TA (2007) The appropriateness of asymmetry tests for publication bias in meta-analyses: a large survey. Cmaj 176: 1091-1096. doi: 10.1503/cmaj.060410
    [32] Gadgil MaG, R. (1992) The fissure land: An ecological history of India; Press OU, editor. New Delhi: Oxford University Press.
    [33] He XF, Wei W, Liu ZZ, et al. (2014) Association between the CYP1A1 T3801C polymorphism and risk of cancer: evidence from 268 case-control studies. Gene 534: 324-344. doi: 10.1016/j.gene.2013.10.025
    [34] Wacholder S, Chanock S, Garcia-Closas M, et al. (2004) Assessing the probability that a positive report is false: an approach for molecular epidemiology studies. J Natl Cancer Inst 96: 434-442. doi: 10.1093/jnci/djh075
    [35] Thakkinstian A, McElduff P, D'Este C, et al. (2005) A method for meta-analysis of molecular association studies. Stat Med 24: 1291-1306. doi: 10.1002/sim.2010
  • Reader Comments
  • © 2015 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(2488) PDF downloads(1280) Cited by(0)

Article outline

Figures and Tables

Figures(2)  /  Tables(7)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog