Dataset Information

Association of TGF-?1 Polymorphisms with Breast Cancer Risk: A Meta-Analysis of Case-Control Studies †.

ABSTRACT: Reports on the association of TGF-?1 polymorphisms with breast cancer (BC) have been conflicting, inconsistent, inconclusive, and controversial. PubMed, EMBASE, and Google Scholar were used to identify studies on TGF-?1 polymorphisms and BC risk. Data were extracted independently, and of the initial 3043 studies, 39 case-control studies were eligible for inclusion in the meta-analysis. Information from these studies was extracted, and the overall associations of three TGF-?1 polymorphisms (TGF-?1 29>T/C, TGF-?1-509 C/T, and TGF-?1*6A) with BC risk were analyzed using overall allele, homozygous, heterozygous, recessive, and dominant models. None of the three TGF-?1 polymorphisms studied had a significant influence on the development of BC. However, stratified analysis revealed a positive correlation between the TGF-?1 29T>C polymorphism and BC risk according to a heterozygous model of the Asian population (odds ratio (OR) = 1.115, 95% confidence interval (CI) = 1.006-1.237, p = 0.039). Interestingly, this polymorphism was associated with lower odds of BC according to a heterozygous model of the Middle Eastern population (OR = 0.602, 95% CI = 0.375-0.966, p = 0.035). Thus, our analysis of large datasets indicates that the TGF-?1 29T>C polymorphism is significantly associated with BC risk in the Asian population. In contrast, the TGF-?1*6A and TGF-?1-509 C/T polymorphisms failed to show an association with BC.

SUBMITTER: Krishna BM

PROVIDER: S-EPMC7072663 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature

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Publications

Association of TGF-β1 Polymorphisms with Breast Cancer Risk: A Meta-Analysis of Case-Control Studies †.

Krishna B Madhu BM Jana Samir S Panda Aditya K AK Horne David D Awasthi Sanjay S Salgia Ravi R Singhal Sharad S SS

Cancers 20200218 2

Reports on the association of TGF-β1 polymorphisms with breast cancer (BC) have been conflicting, inconsistent, inconclusive, and controversial. PubMed, EMBASE, and Google Scholar were used to identify studies on TGF-β1 polymorphisms and BC risk. Data were extracted independently, and of the initial 3043 studies, 39 case-control studies were eligible for inclusion in the meta-analysis. Information from these studies was extracted, and the overall associations of three TGF-β1 ...[more]

PMID: 32085560

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Project description:BackgroundX-ray repair cross-complementing group 1 (XRCC1) is one of the DNA repair genes encoding a scaffolding protein that participate in base excision repair (BER) pathway. However, studies on the association between polymorphisms in this gene and glioma have yielded conflicting results. This meta-analysis was performed to derive a more precise estimation between XRCC1 polymorphisms (Arg399Gln, Arg194Trp, and Arg280His) and glioma risk.MethodsData were collected from several electronic databases, with the last search up to November 28, 2012. Meta-analysis was performed by critically reviewing 9 studies for Arg399Gln polymorphism (3146 cases and 4296 controls), 4 studies for Arg194Trp polymorphism (2557 cases and 4347 controls), and 4 studies for Arg280His polymorphism (1936 cases and 2895 controls). All of the statistical analyses were performed using the software programs STATA (version 11.0).ResultsThe combined results showed that Arg399Gln polymorphism was significantly associated with glioma risk (Gln/Gln versus Arg/Arg: OR?=?1.52, 95% CI?=?1.03-2.23; recessive model: OR?=?1.32, 95% CI?=?1.01-1.73; additive model: OR?=?1.21, 95% CI?=?1.00-1.47), whereas Arg194Trp/Arg280His polymorphisms were all not significantly associated with glioma risk. As for ethnicity, Arg399Gln polymorphism was associated with increased risk of glioma among Asians (Gln/Gln versus Arg/Arg: OR?=?1.78, 95% CI?=?1.29-2.47; Arg/Gln versus Arg/Arg: OR?=?1.28, 95% CI?=?1.05-1.56; recessive model: OR?=?1.59, 95% CI?=?1.16-2.17; dominant model: OR?=?1.36, 95% CI?=?1.13-1.65; additive model: OR?=?1.32, 95% CI?=?1.15-1.52), but not among Caucasians. Stratified analyses by histological subtype indicated that the Gln allele of Arg399Gln polymorphism showed borderline association with the risk of glioblastoma among Caucasians. However, no evidence was observed in subgroup analyses for Arg194Trp/Arg280His polymorphisms.ConclusionsOur meta-analysis suggested that Arg399Gln polymorphism was associated with increased risk of glioma among Asians and borderline increased risk for glioblastoma among Caucasians, whereas Arg194Trp/Arg280His polymorphisms might have no influence on the susceptibility of glioma in different ethnicities.

Project description:BACKGROUND:The X-ray repair cross-complementing group 3 (XRCC3) is an efficient component of homologous recombination and is required for the preservation of chromosomal integrity in mammalian cells. The association between Thr241Met single-nucleotide polymorphism (SNP) in this gene and susceptibility to breast cancer has been assessed in several studies. Yet, reports are controversial. The present meta-analysis has been designed to identify whether this SNP is associated with susceptibility to breast cancer. METHODS:We performed a systematic review and meta-analysis for retrieving the case-control studies on the associations between T241?M SNP and the risk of breast cancer. Crude odds ratios (ORs) and 95% confidence intervals (CIs) were calculated to verify the association in dominant, recessive, and homozygote inheritance models. RESULTS:We included 55 studies containing 30,966 sporadic breast cancer cases, 1174 familial breast cancer cases and 32,890 controls in the meta-analysis. In crude analyses, no association was detected between the mentioned SNP and breast cancer risk in recessive, homozygote or dominant models. However, ethnic based analysis showed that in sporadic breast cancer, the SNP was associated with breast cancer risk in Arab populations in homozygous (OR (95% CI)?=?3.649 (2.029-6.563), p?=?0.0001) and recessive models (OR (95% CI)?=?4.092 (1.806-9.271), p?=?0.001). The association was significant in Asian population in dominant model (OR (95% CI)?=?1.296, p?=?0.029). However, the associations was significant in familial breast cancer in mixed ethnic-based subgroup in homozygote and recessive models (OR (95% CI)?=?0.451 (0.309-0.659), p?=?0.0001, OR (95% CI)?=?0.462 (0.298-0.716), p?=?0.001 respectively). CONCLUSIONS:Taken together, our results in a large sample of both sporadic and familial cases of breast cancer showed insignificant role of Thr241Met in the pathogenesis of this type of malignancy. Such results were more conclusive in sporadic cases. In familial cases, future studies are needed to verify our results.

Dataset Information

Association of TGF-?1 Polymorphisms with Breast Cancer Risk: A Meta-Analysis of Case-Control Studies †.

Publications

Association of <i>TGF-β1</i> Polymorphisms with Breast Cancer Risk: A Meta-Analysis of Case-Control Studies †.

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