Transforming growth factorβ1 L10P variant plays an active role on the breast cancer susceptibility in Caucasian: evidence from 10,392 cases and 11,697 controls

Abstract

In view of the essential role of transforming growth factorβ1 (TGFB1) on both inhibiting the development of early benign breast tumors as well as promoting tumor invasion, the association of TGFB1 L10P polymorphism and breast cancer risk has been widely reported, but results of previous studies were somewhat contradictory and underpowered. To overcome the limitations of individual study and to understand the real situation, we conducted a systematic review and meta-analysis towards the association between TGFB1 L10P polymorphism and breast cancer. Through retrieving MEDLINE, PubMed, Embase, and Web of Science, a total of 16 studies with 10,392 cases and 11,697 controls were identified. The results showed that significant association was found in the recessive genetic model for Caucasian (OR = 1.152, 95% CI = 1.020-1.301). However, we did not find any associations in additive genetic model (PP vs. LL for total: OR = 1.026, 95% CI = 0.940-1.121), allele contrast (L vs. P for total: OR = 1.004, 95% CI = 0.966-1.044), and dominant genetic model (PP + LP vs. LL for total: OR = 1.001, 95% CI = 0.946-1.061). Conclusively, this meta-analysis strongly suggests that TGFB1 L10P polymorphism may play a low penetrance role in breast cancer susceptibility in Caucasian. Large well-designed epidemiological studies will be necessary to validate the risk identified in the current meta-analysis.

No Association of the TGF-β1 29T/C Polymorphism with Breast Cancer Risk in Caucasian and Asian Populations: Evidence from a Meta-Analysis Involving 55, 841 Subjects

“…As many as five meta-analyses (all in 2010) were conducted on this polymorphism (Gu et al, 2010;Huang et al, 2010;Ma et al, 2010;Qi et al, 2010;Qiu et al, 2010) without reaching a consensus.…”

“…Two of these meta-analysis found no association between TGF-β1 29T/C polymorphism and breast cancer risk (Gu et al, 2010;Huang et al, 2010), while the two others showed no overall association between this SNP and breast cancer risk, but an increased risk of breast cancer with 10P allele in Caucasians (Ma et al, 2010;Qi et al, 2010), and another meta-analysis showed significant association of 10P in overall analysis as well as in the Caucasian group (Qiu et al, 2010).…”

Association between smoking and the risk of acute mountain sickness: a meta-analysis of observational studies

“…Additionally, if there was significant heterogeneity, we used a random effects model to analyze the study. If there was no heterogeneity, we used a fixed effects model [2, 23–25]. We also performed Begg’s and Egger’s tests when significant differences ( P  < 0.05) were present to determine if publication bias was also present.…”

Strong Impact of TGF-β1 Gene Polymorphisms on Breast Cancer Risk in Indian Women: A Case-Control and Population-Based Study

“…Interestingly, all five meta-analyses were published in the same year [29], [42], [51], [52], [53]. Two of these meta-analysis stated no association between c.29C>T polymorphism and breast cancer [29], [51], while the two others stated no overall association between this substitution and breast cancer risk, but an increased risk of breast cancer with 10P allele in Caucasians [42], [52], and yet another meta-analysis stated significant association of 10P in overall analysis as well as in the Caucasian group [53]. Contrary to the observations of all these meta-analyses, particularly the latter three, we found the alternate allele (‘T’ or ‘leucine’) to be a risk factor for breast cancer.…”