首页> 外文期刊>Breast Cancer Research and Treatment >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
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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

机译:TGFβ1(Leu10Pro),p53(Arg72Pro)可以预测印度南部妇女患乳腺癌的风险,而TGFβ1Pro(Leu10Pro)等位基因则预测对新辅助化学放疗的反应

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The breast cancer incidence has been increasing in the south Indian women. A case (n = 250)–control (n = 500) study was undertaken to investigate the role of Single Nucleotide Polymorphisms (SNP’s) in GSTM1 (Present/Null); GSTP1 (Ile105Val), p53 (Arg72Pro), TGFβ1 (Leu10Pro), c-erbB2 (Ile655Val), and GSTT1 (Null/Present) in breast cancer. In addition, the value of the SNP’s in predicting primary tumor’s pathologic response following neo-adjuvant chemo-radiotherapy was assessed. Genotyping was done using PCR (GSTM1, GSTT1), Taqman Allelic discrimination assay (GSTP1, c-erbB2) and PCR-CTPP (p53 and TGFβ1). None of the gene SNP’s studied were associated with a statistically significant increased risk for the breast cancer. However, combined analysis of the SNP’s showed that p53 (Arg/Arg and Arg/Pro) with TGFβ1 (Pro/Pro and Leu/Pro) were associated with greater than 2 fold increased risk for breast cancer in Univariate (P = 0.01) and Multivariate (P = 0.003) analysis. There was no statistically significant association for the GST family members with the breast cancer risk. TGFβ1 (Pro/Pro) allele was found to predict complete pathologic response in the primary tumour following neo-adjuvant chemo-radiotherapy (OR = 6.53 and 10.53 in Univariate and Multivariate analysis respectively) (P = 0.004) and was independent of stage. This study suggests that SNP’s can help predict breast cancer risk in south Indian women and that TGFβ1 (Pro/Pro) allele is associated with a better pCR in the primary tumour.
机译:南部印度妇女的乳腺癌发病率一直在增加。进行了一项病例(n = 250)-对照(n = 500)研究,以研究单核苷酸多态性(SNP)在GSTM1中的作用(存在/无效);乳腺癌中的GSTP1(Ile105Val),p53(Arg72Pro),TGFβ1(Leu10Pro),c-erbB2(Ile655Val)和GSTT1(Null / Present)。此外,评估了SNP在预测新辅助化学放疗后原发肿瘤病理反应中的价值。使用PCR(GSTM1,GSTT1),Taqman等位基因鉴别分析(GSTP1,c-erbB2)和PCR-CTPP(p53和TGFβ1)进行基因分型。 SNP所研究的基因均与统计学上显着增加的乳腺癌风险没有关联。然而,对SNP的综合分析显示,p53(Arg / Arg和Arg / Pro)与TGFβ1(Pro / Pro和Leu / Pro)的单变量患乳腺癌风险增加了2倍以上(P = 0.01),而多元(P = 0.003)分析。 GST家庭成员与乳腺癌风险之间无统计学意义的关联。发现TGFβ1(Pro / Pro)等位基因可预测新辅助化学放疗后原发肿瘤的完全病理反应(单因素和多因素分析分别为OR = 6.53和10.53)(P = 0.004),并且与阶段无关。这项研究表明,SNP可以帮助预测印度南部妇女的乳腺癌风险,并且TGFβ1(Pro / Pro)等位基因与原发性肿瘤中更好的pCR相关。

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