Abstract
Published data on the association between TGFB1 L10P polymorphism and breast cancer risk are inconclusive. In order to derive a more precise estimation of the relationship, a meta-analysis was performed. Crude ORs with 95% CIs were used to assess the strength of association between them. A total of 30 studies including 20,401 cases and 27,416 controls were involved in this meta-analysis. Overall, significantly elevated breast cancer risk was associated with TGFB1 10P allele when all studies were pooled into the meta-analysis (LP vs. LL: OR = 1.046, 95% CI = 1.003–1.090; dominant model: OR = 1.052, 95% CI = 1.012–1.095). In the subgroup analysis by ethnicity, statistically significantly elevated risk was found in Caucasians (dominant model: OR = 1.045, 95% CI = 1.001–1.091). When stratified by study design, statistically significantly elevated risk was found based on population-based studies (dominant model: OR = 1.076, 95% CI = 1.019–1.136). In conclusion, this meta-analysis suggests that the TGFB1 10P allele may be a low-penetrant risk factor for developing breast cancer. However, large sample and representative population-based studies with homogeneous breast cancer patients and well-matched controls are warranted to confirm this finding.
Similar content being viewed by others
References
Parkin DM, Bray F, Ferlay J, Pisani P (2005) Global cancer statistics 2002. CA Cancer J Clin 55:74–108
Lichtenstein P, Holm NV, Verkasalo PK (2000) Environmental and heritable factors in the causation of cancer. N Engl J Med 343:78–85
Fujii D, Brissenden JE, Derynck R, Francke U (1986) Transforming growth factor beta gene maps to human chromosome 19 long arm and to mouse chromosome 7. Somat Cell Mol Genet 12:281–288
Grainger DJ, Heathcote K, Chiano M, Snieder H, Kemp PR, Metcalfe JC (1999) Genetic control of the circulating concentration of transforming growth factor type beta1. Hum Mol Genet 8:93–97
Yokota M, Ichihara S, Lin TL, Nakashima N, Yamada Y (2000) Association of a T29/C polymorphism of the transforming growth factor-beta1 gene with genetic susceptibility to myocardial infarction in Japanese. Circulation 101:2783–2787
Ziv E, Cauley J, Morin PA, Saiz R, Browner WS (2001) Association between the T29 → C polymorphism in the transforming growth factor beta1 gene and breast cancer among elderly white women: the study of osteoporotic fractures. Jama 285:2859–2863
Dunning AM, Ellis PD, McBride S (2003) A transforming growth factor beta1 signal peptide variant increases secretion in vitro and is associated with increased incidence of invasive breast cancer. Cancer Res 63:2610–2615
Hishida A, Iwata H, Hamajima N (2003) Transforming growth factor B1 T29C polymorphism and breast cancer risk in Japanese women. Breast Cancer 10:63–69
Krippl P, Langsenlehner U, Renner W (2003) The L10P polymorphism of the transforming growth factor-beta 1 gene is not associated with breast cancer risk. Cancer Lett 201:181–184
Jin Q, Hemminki K, Grzybowska E (2004) Polymorphisms and haplotype structures in genes for transforming growth factor beta1 and its receptors in familial and unselected breast cancers. Int J Cancer 112:94–99
Le Marchand L, Haiman CA, van den Berg D, Wilkens LR, Kolonel LN, Henderson BE (2004) T29C polymorphism in the transforming growth factor beta1 gene and postmenopausal breast cancer risk: the Multiethnic Cohort Study. Cancer Epidemiol Biomarkers Prev 13:412–415
Saha A, Gupta V, Bairwa NK, Malhotra D, Bamezai R (2004) Transforming growth factor-beta1 genotype in sporadic breast cancer patients from India: status of enhancer, promoter, 5′-untranslated-region and exon-1 polymorphisms. Eur J Immunogenet 31:37–42
Kaklamani VG, Baddi L, Liu J (2005) Combined genetic assessment of transforming growth factor-beta signaling pathway variants may predict breast cancer risk. Cancer Res 65:3454–3461
Lee KM, Park SK, Hamajima N (2005) Genetic polymorphisms of TGF-beta1 and TNF-beta and breast cancer risk. Breast Cancer Res Treat 90:149–155
Shin A, Shu XO, Cai Q, Gao YT, Zheng W (2005) Genetic polymorphisms of the transforming growth factor-beta1 gene and breast cancer risk: a possible dual role at different cancer stages. Cancer Epidemiol Biomarkers Prev 14:1567–1570
Feigelson HS, Patel AV, Diver WR, Stevens VL, Thun MJ, Calle EE (2006) Transforming growth factor beta receptor type I and transforming growth factor beta1 polymorphisms are not associated with postmenopausal breast cancer. Cancer Epidemiol Biomarkers Prev 15:1236–1237
Scola L, Vaglica M, Crivello A (2006) Cytokine gene polymorphisms and breast cancer susceptibility. Ann N Y Acad Sci 1089:104–109
Cox DG, Penney K, Guo Q (2007) TGFB1 and TGFBR1 polymorphisms and breast cancer risk in the Nurses’ Health Study. BMC Cancer 7:175–181
Cox A, Dunning AM, Garcia-Closas M (2007) A common coding variant in CASP8 is associated with breast cancer risk. Nat Genet 39:352–358
Rajkumar T (2008) TGFb1 (Leu10Pro), p53 (Arg72Pro) can predict for increased risk for breast cancer in south Indian women and TGFb1 Pro (Leu10Pro) allele predicts response to neo-adjuvant chemo-radiotherapy. Breast Cancer Res Treat 112:81–87
Cochran WG (1954) The combination of estimates from different experiments. Biometrics 10:101–129
Mantel N, Haenszel W (1959) Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst 22:719–748
DerSimonian R, Laird N (1986) Meta-analysis in clinical trials. Control Clin Trials 7:177–188
Tobias A (1999) Assessing the influence of a single study in the meta-analysis estimate. Stata Tech Bull 8:15–17
Egger M, Davey Smith G, Schneider M, Minder C (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315:629–634
Taylor SJ, Tweedie RI (1998) Practical estimates of the effect of publication bias in meta- analysis. Australas Epidemiol 5:14–17
Bierie B, Moses HL (2006) Tumour microenvironment: TGFbeta: the molecular Jekyll and Hyde of cancer. Nat Rev Cancer 6:506–520
Derynck R, Akhurst RJ, Balmain A (2001) TGF-beta signaling in tumor suppression and cancer progression. Nat Genet 29:117–129
Hirschhorn JN, Lohmueller K, Byrne E (2002) A comprehensive review of genetic association studies. Genet Med 4:45–61
Wacholder S, Chanock S, Garcia-Closas M (2004) Assessing the probability that a positive report is false: an approach for molecular epidemiology studies. J Natl Cancer Inst 96:434–442
Author information
Authors and Affiliations
Corresponding author
Additional information
Li-Xin Qiu and Lei Yao have contributed equally to this work and should be considered as co-first authors.
Rights and permissions
About this article
Cite this article
Qiu, LX., Yao, L., Mao, C. et al. TGFB1 L10P polymorphism is associated with breast cancer susceptibility: evidence from a meta-analysis involving 47,817 subjects. Breast Cancer Res Treat 123, 563–567 (2010). https://doi.org/10.1007/s10549-010-0781-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10549-010-0781-7