TGFβ1 (Leu10Pro), p53 (Arg72Pro) can predict for increased risk for breast cancer in south Indian women and TGFβ1 Pro (Leu10Pro) allele predicts response to neo-adjuvant chemo-radiotherapy

Rajkumar, Thangarajan; Mani, Samson; Ranganathan, Rama; Sridevi, V.; Mahji, U.; Swaminathan, Rajaraman; Nancy, Nirmala Karunakaran

doi:10.1007/s10549-007-9821-3

Cited by 44 publications

(34 citation statements)

References 26 publications

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“…Association studies on other cancer types, for example, colorectal cancer [15], lung cancer [16], and head and neck cancer [28], also suggested that the variant was a relatively high-penetrant risk factor for developing cancer. In our present meta-analysis, IVS3 An assessment for Hardy-Weinberg equilibrium test identified that six studies on codon 72 [14,21,23,[29][30][31], one study on IVS3 16 bp Del/Ins [17], and one study on IVS6 ? 62A [ G [32] departed from HWE.…”

Section: Discussionmentioning

confidence: 76%

Three common TP53 polymorphisms in susceptibility to breast cancer, evidence from meta-analysis

Yuan

et al. 2009

Breast Cancer Res Treat

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The association of polymorphisms of tumor suppressor gene TP53 with breast cancer has widely been reported; however, the results are inconsistent. Here, we selected three commonly studied TP53 polymorphisms: codon 72 Arg > Pro, IVS3 16 bp Del/Ins, and IVS6 + 62A > G to explore their association with breast cancer risk by meta-analysis of published case-control studies. The results showed that codon 72 was not associated with breast cancer risk among 37 combined case-control studies (23,567 cases and 25,995 controls). However, a significant association with decreased risk of breast cancer was found in the Mediterranean studies (PP + PR vs. RR: OR = 0.32, 95% CI = 0.24-0.44, P < 0.001; PP vs. RR: OR = 0.35, 95% CI = 0.21-0.60, P < 0.001). IVS3 16 bp Del/Ins was significantly associated with an increased risk of developing breast cancer in a pooled 8 study dataset (2,470 cases and 2,825 controls; Ins/Ins + Del/Ins vs. Del/Del: OR = 1.15, 95% CI = 1.01-1.30, P = 0.04; Ins/Ins vs. Del/Del: OR = 1.75, 95% CI = 1.20-2.37, P = 0.003). No significant association was observed between IVS6 + 62A > G and breast cancer risk in a total of 10 studies (8,537 cases and 9,586 controls). These results suggest that IVS3 16 bp Del/Ins is likely an important genetic marker contributing to susceptibility of breast cancer, and codon 72 has a potential role in association with breast cancer risk within certain populations or regions.

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Section: Discussionmentioning

confidence: 76%

Three common TP53 polymorphisms in susceptibility to breast cancer, evidence from meta-analysis

Yuan

et al. 2009

Breast Cancer Res Treat

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“…On the contrary many studies have reported no significant association between this SNP and breast cancer risk (Krippl et al, 2003;Jin et al, 2004;Saha et al, 2004;Cox et al, 2007b;Rajkumar et al, 2008).…”

Section: Discussionmentioning

confidence: 95%

“…A total of thirty-one research articles involving 24021 cases and 31820 controls were finally included in the present meta-analysis based on our selection (inclusionexclusion) criteria (Ziv et al, 2001;Dunning et al, 2003;Hishida et al, 2003;Krippl et al, 2003;Quarmby et al, 2003;Jin et al, 2004;Le Marchand et al, 2004;Saha et al, 2004;Shu et al, 2004;Kaklamani et al, 2005;Lee et al, 2005;Shin et al, 2005;Feigelson et al, 2006;Scola et al, 2006;Cox et al, 2007a;2007b;Gonullu et al, 2007;Rajkumar et al, 2008;Chen et al, 2011;Joshi et al, 2011;Pooja et al, 2013) (Figure 1). The major characteristics of selected studies are summarized in Table 1.…”

Section: Characteristics Of Eligible Studiesmentioning

confidence: 99%

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

Alqumber¹,

Dar²,

Haque³

et al. 2014

Asian Pacific Journal of Cancer Prevention

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The transforming growth factor-β1 (TGF-β1) gene 29 T/C polymorphism is thought to be associated with breast cancer risk. However, reports are largely conflicting and underpowered. We therefore conducted a metaanalysis of all available case-control studies relating the TGF-β1 29T/C polymorphism to the risk of developing breast cancer by including a total of 31 articles involving 24,021 cases and 31,820 controls. Pooled ORs were generated for the allele contrasts, with additive genetic, dominant genetic and recessive genetic models. Subgroup

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“…Table 1 listed the main characteristics and genotype distribution of codon 72 polymorphism (rs1042522), with a total of 56 eligible studies met the inclusion criteria, including first author, published year, ethnicity, original country, source of controls, and genotype distribution. However, the study of Pharoah et al [50] and the study of Samson et al [51] were excluded because subjects had been included by Baynes et al [38] and Rajkumar et al [44]. The distribution of genotypes in the controls was consistent with Hardy-Weinberg equilibrium in all studies except for two studies (P \ 0.01) [21,65], these studies were excluded in this meta-analysis.…”

Section: Discussionmentioning

confidence: 99%

Association between the p53 polymorphisms and breast cancer risk: meta-analysis based on case–control study

Zhang

et al. 2011

Breast Cancer Res Treat

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p53 is a tumor suppressor gene and plays an important role in the etiology of breast cancer. However, studies on the association between p53 polymorphisms and breast cancer risk have yielded conflicting results. We performed a meta-analysis to investigate the association between breast cancer and the p53 polymorphisms codon 72 (27,046 cases and 30,998 controls), IVS3 16 bp (3,332 cases and 3,700 controls) and IVS6+62A>G (8,787 cases and 9,869 controls) in different inheritance models. When all the eligible studies of codon 72 polymorphism were pooled into this meta-analysis, there was no evidence of significant association between breast cancer risk and p53 codon 72 polymorphism in any genetic model. However, in the stratified analysis for Indian population, significantly association was observed in additive model (OR = 0.62, 95% CI = 0.46-0.82, P value of heterogeneity test [P (h)] = 0.153) and recessive model (OR = 0.70, 95% CI = 0.50-0.92, P (h) = 0.463). IVS3 16 bp was significantly associated with breast cancer risk in a pooled 15 studies dataset (dominant model: OR = 1.14, 95% CI = 1.02-1.27, P (h) = 0.30; recessive model: OR = 1.61, 95% CI = 1.21-2.25, P(h) = 0.25; additive model: OR = 1.66, 95% CI = 1.24-2.21, P (h) = 0.28). No significant association was found between IVS6+62A>G polymorphism and breast cancer risk in a total of 14 studies. In summary, these results indicate that IVS3 16 bp is likely an important genetic marker contributing to susceptibility of breast cancer, and codon 72 homozygous mutants may be associated with decreased breast cancer risk in Indian population.

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TGFβ1 (Leu10Pro), p53 (Arg72Pro) can predict for increased risk for breast cancer in south Indian women and TGFβ1 Pro (Leu10Pro) allele predicts response to neo-adjuvant chemo-radiotherapy

Cited by 44 publications

References 26 publications

Three common TP53 polymorphisms in susceptibility to breast cancer, evidence from meta-analysis

Three common TP53 polymorphisms in susceptibility to breast cancer, evidence from 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

Association between the p53 polymorphisms and breast cancer risk: meta-analysis based on case–control study

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