Literature DB >> 20309626

Transforming growth factor-beta1 polymorphisms and breast cancer risk: a meta-analysis based on 27 case-control studies.

Xiaowei Qi1, Fan Zhang, Xinhua Yang, Linjun Fan, Yi Zhang, Li Chen, Yan Zhou, Xianchun Chen, Ling Zhong, Jun Jiang.   

Abstract

The association between transforming growth factor-beta1 (TGF-beta1) gene polymorphisms and breast cancer risk has been widely reported, but results were somewhat controversial and underpowered. To derive a more precise estimation of the relationship between TGF-beta1 polymorphisms and breast cancer risk, we conducted a meta-analysis of all available case-control studies relating the T869C and/or C-509T polymorphisms of the TGF-beta1 gene to the risk of developing breast cancer. Eligible articles were identified by search of databases including MEDLINE, PubMed, Web of Science, EMBASE, and Chinese Biomedical Literature database (CBM) for the period up to March 2010. Finally, a total of 17 articles involving 27 case-control studies were identified, 25 with 20,022 cases and 24,423 controls for T869C polymorphism and eight with 10,633 cases and 13,648 controls for C-509T polymorphism. The pooled ORs were performed for the allele contrasts, additive genetic model, dominant genetic model and recessive genetic model, respectively. Subgroup analysis was also performed by ethnicity for T869C polymorphism. With respect to T869C polymorphism, no association was found in overall analysis (C vs. T: OR = 1.033, 95% CI = 0.996-1.072). In the subgroup analysis by ethnicity, significantly increased risk was found in Caucasian population (C vs. T: OR = 1.051, 95% CI = 1.018-1.085; CC vs. TT + TC: OR = 1.083, 95% CI = 1.019-1.151), but not in Asian population (C vs. T: OR = 1.054, 95% CI = 0.983-1.130). With respect to C-509T polymorphism, no significant association with breast cancer risk was demonstrated in overall analysis (T vs. C: OR = 0.986, 95% CI = 0.936-1.039). It can be concluded that potentially functional TGF-Beta1 T869C polymorphism may play a low penetrance role in breast cancer susceptibility in an ethnicity-specific manner.

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Year:  2010        PMID: 20309626     DOI: 10.1007/s10549-010-0847-6

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  8 in total

1.  A functional polymorphism of TGFBR2 is associated with risk of breast cancer with ER(+), PR(+), ER(+)PR(+) and HER2(-) expression in women.

Authors:  Mei Zhang; Ling-Ling Guo; Zhongqin Cheng; Reng-Yun Liu; Yufeng Lu; Qian Qian; Zhe Lei; Hong-Tao Zhang
Journal:  Oncol Lett       Date:  2011-05-13       Impact factor: 2.967

2.  Heterozygosity for TGF β1 -509C/T Polymorphism is associated with risk for breast cancer in South Indian population.

Authors:  Cingeetham Vinod; A Jyothy; M Vijay Kumar; R Raghu Raman; Pratibha Nallari; A Venkateshwari
Journal:  Tumour Biol       Date:  2012-09-22

3.  Association of TGF-β1 -509C/T polymorphisms with breast cancer risk: evidence from an updated meta-analysis.

Authors:  Yadong Wang; Xinwei Chu; Xiaojing Meng; Fei Zou
Journal:  Tumour Biol       Date:  2013-08-28

4.  Associations between genetic variants in the TGF-β signaling pathway and breast cancer risk among Hispanic and non-Hispanic white women.

Authors:  Stephanie D Boone; Kathy B Baumgartner; Richard N Baumgartner; Avonne E Connor; Christina M Pinkston; Esther M John; Lisa M Hines; Mariana C Stern; Anna R Giuliano; Gabriela Torres-Mejia; Guy N Brock; Frank D Groves; Richard A Kerber; Roger K Wolff; Martha L Slattery
Journal:  Breast Cancer Res Treat       Date:  2013-09-14       Impact factor: 4.872

Review 5.  A review on the genetic polymorphisms and susceptibility of cancer patients in Bangladesh.

Authors:  Golap Babu; Shad Bin Islam; Md Asaduzzaman Khan
Journal:  Mol Biol Rep       Date:  2022-03-11       Impact factor: 2.742

6.  Comparative study and meta-analysis of meta-analysis studies for the correlation of genomic markers with early cancer detection.

Authors:  Zoi Lanara; Efstathia Giannopoulou; Marta Fullen; Evangelos Kostantinopoulos; Jean-Christophe Nebel; Haralabos P Kalofonos; George P Patrinos; Cristiana Pavlidis
Journal:  Hum Genomics       Date:  2013-06-05       Impact factor: 4.639

Review 7.  Association between TGFBR1 polymorphisms and cancer risk: a meta-analysis of 35 case-control studies.

Authors:  Yong-qiang Wang; Xiao-wei Qi; Fan Wang; Jun Jiang; Qiao-nan Guo
Journal:  PLoS One       Date:  2012-08-08       Impact factor: 3.240

8.  Strong impact of TGF-β1 gene polymorphisms on breast cancer risk in Indian women: a case-control and population-based study.

Authors:  Singh Pooja; Amirtharaj Francis; Singh Rajender; Rakesh Tamang; Raja Rajkumar; Karan Singh Saini; Kaling Megu; Madhu Mati Goel; Daminani Surekha; Digumarthi Raghunatha Rao; Lakshmi Rao; Lingadakai Ramachandra; Sandeep Kumar; Surender Kumar; Satti Vishnupriya; Kapaettu Satyamoorthy; Mahendra Pal Singh Negi; Kumarasamy Thangaraj; Rituraj Konwar
Journal:  PLoS One       Date:  2013-10-17       Impact factor: 3.240

  8 in total

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