Association between Int7G24A rs334354 polymorphism and cancer risk: a meta-analysis of case-control studies

Wu, Weixiang; Tong, Yeqing; Wei, Xiaoyun; Zhao, Qiang; Pan, Xiaoqi; Yu, Guangxia; Lü, Qing

doi:10.1038/srep11350

Cited by 10 publications

(14 citation statements)

References 44 publications

(62 reference statements)

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“…The same study also reported one somatic mutation, resulting in a change of serine to phenylalanine at codon 57 of TGFBR1 [141]. Interestingly, the Int7G24A SNP is also associated with increased risks of osteosarcoma [179], colorectal, and breast cancer [180,181], suggestive of its general involvement in cancer predisposition.…”

Section: Bladder Cancermentioning

confidence: 79%

TGF-β and microRNA Interplay in Genitourinary Cancers

Bogusławska¹,

Kryst

Poletajew

et al. 2019

Cells

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Genitourinary cancers (GCs) include a large group of different types of tumors localizing to the kidney, bladder, prostate, testis, and penis. Despite highly divergent molecular patterns, most GCs share commonly disturbed signaling pathways that involve the activity of TGF-β (transforming growth factor beta). TGF-β is a pleiotropic cytokine that regulates key cancer-related molecular and cellular processes, including proliferation, migration, invasion, apoptosis, and chemoresistance. The understanding of the mechanisms of TGF-β actions in cancer is hindered by the “TGF-β paradox” in which early stages of cancerogenic process are suppressed by TGF-β while advanced stages are stimulated by its activity. A growing body of evidence suggests that these paradoxical TGF-β actions could result from the interplay with microRNAs: Short, non-coding RNAs that regulate gene expression by binding to target transcripts and inducing mRNA degradation or inhibition of translation. Here, we discuss the current knowledge of TGF-β signaling in GCs. Importantly, TGF-β signaling and microRNA-mediated regulation of gene expression often act in complicated feedback circuits that involve other crucial regulators of cancer progression (e.g., androgen receptor). Furthermore, recently published in vitro and in vivo studies clearly indicate that the interplay between microRNAs and the TGF-β signaling pathway offers new potential treatment options for GC patients.

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Section: Bladder Cancermentioning

confidence: 79%

TGF-β and microRNA Interplay in Genitourinary Cancers

Bogusławska¹,

Kryst

Poletajew

et al. 2019

Cells

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“…Nevertheless, previous studies showed that Int7G24A polymorphism of gene TGF-b1 was significantly associated with cancer development in Asians, not in Caucasians. 26 TGF-b1 T869C/T29C polymorphisms were markedly associated with postmenopausal osteoporosis risk in Asians, not in Caucasians. 27 CC genotype and T allele of TGF-b1 T869C polymorphism were distinctly associated with diabetic nephropathy risk in the Asian population.…”

Section: Discussionmentioning

confidence: 99%

Association of transforming growth factor-β1 polymorphisms with the risk of chronic kidney diseases

2015

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The association of transforming growth factor-b1 (TGF-b1) polymorphisms with the risk of chronic kidney diseases (CKD) remains elusive. We aimed to perform a meta-analysis to evaluate the relationship between TGF-b1 polymorphisms and the susceptibility to CKD. Association studies were searched according to a defined criteria using electronic databases. The strength of association between TGF-b1 polymorphisms and CKD risk was evaluated by odds ratio (OR) with the corresponding 95% confidence interval (CI). Nine case-control studies were identified. T allele at the +869 T/C polymorphism was associated with a lower risk of CKD in Asians (p ¼ 0.003). TT genotype at the +869 T/C polymorphism was associated with a lower risk of CKD in overall populations and Asians (p ¼ 0.007 and 510 À4

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“…This scale allocated a total score of 9 points, considering the selection process, the comparability of included studies, the identification of exposure and the definition of outcomes. The estimated scores of the included studies would be used in a quality-effect model [ 27 , 28 ], a method of weighting studies with quality scores to reduce the biases resulting from low quality studies. The results from the quality-effect model were introduced to explore the sensitivity and stability of our conclusions.…”

Section: Methodsmentioning

confidence: 99%

“…In order to choose the best-fitted effect model, heterogeneity was first evaluated in our meta-analysis. If heterogeneity was acceptable and negligible, a fixed-effect modeling method would be used in the analysis, otherwise a random-effect modeling method would be suggested [ 28 , 29 , 30 ]. I 2 statistic and Cochran Q test were applied to estimate the heterogeneity among the identified studies [ 31 ].…”

Section: Methodsmentioning

confidence: 99%

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High Birth Weight Increases the Risk for Bone Tumor: A Systematic Review and Meta-Analysis

Chen

Yang

et al. 2015

IJERPH

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There have been several epidemiologic studies on the relationship between high birth weight and the risk for bone tumor in the past decades. However, due to the rarity of bone tumors, the sample size of individual studies was generally too small for reliable conclusions. Therefore, we have performed a meta-analysis to pool all published data on electronic databases with the purpose to clarify the potential relationship. According to the inclusion and exclusion criteria, 18 independent studies with more than 2796 cases were included. As a result, high birth weight was found to increase the risk for bone tumor with an Odds Ratio (OR) of 1.13, with the 95% confidence interval (95% CI) ranging from 1.01 to 1.27. The OR of bone tumor for an increase of 500 gram of birth weight was 1.01 (95% CI 1.00–1.02; p = 0.048 for linear trend). Interestingly, individuals with high birth weight had a greater risk for osteosarcoma (OR = 1.22, 95% CI 1.06–1.40, p = 0.006) than those with normal birth weight. In addition, in the subgroup analysis by geographical region, elevated risk was detected among Europeans (OR = 1.14, 95% CI 1.00–1.29, p = 0.049). The present meta-analysis supported a positive association between high birth weight and bone tumor risk.

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Association between Int7G24A rs334354 polymorphism and cancer risk: a meta-analysis of case-control studies

Cited by 10 publications

References 44 publications

TGF-β and microRNA Interplay in Genitourinary Cancers

TGF-β and microRNA Interplay in Genitourinary Cancers

Association of transforming growth factor-β1 polymorphisms with the risk of chronic kidney diseases

High Birth Weight Increases the Risk for Bone Tumor: A Systematic Review and Meta-Analysis

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