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No Association between TGFB1 Polymorphisms and Late Radiotherapy Toxicity: A Meta-Analysis

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  • Mei-Ling Zhu
  • MengYun Wang
  • Ting-Yan Shi
  • Qiao-Xin Li
  • Pan Xi
  • Kai-Qin Xia
  • Leizhen Zheng
  • Qing-Yi Wei

Abstract

Background: Transforming growth factor-beta 1 (TGF-β1) protein may be multifunctional and related to the development of fibrosis, induction of apoptosis, extracellular signaling and inhibition of proliferation in response to radiation-induced DNA damage. Several studies have investigated associations between single nucleotide polymorphisms (SNPs) in the TGFB1 gene and risk of late radiation-induced injury of normal tissue, but the conclusions remain controversial. Methods: We searched three electronic databases (i.e., MEDLINE, EMBASE and EBSCO) for eligible publications and performed a meta-analysis assessing the association of three commonly studied SNPs in TGFB1 (i.e., rs1800469, rs1800470 and rs1800471) with risk of late radiation-induced injury of normal tissue. Results: We finally included 28 case-only studies from 16 publications on aforementioned SNPs in TGFB1. However, we did not find statistical evidence of any significant association with overall risk of late radiotherapy toxicity in the pooled analysis or in further stratified analysis by cancer type, endpoint, ethnicity and sample size. Conclusions: This meta-analysis did not find statistical evidence for an association between SNPs in TGFB1 and risk of late radiation-induced injury of normal tissue, but this finding needs further confirmation by a single large study.

Suggested Citation

  • Mei-Ling Zhu & MengYun Wang & Ting-Yan Shi & Qiao-Xin Li & Pan Xi & Kai-Qin Xia & Leizhen Zheng & Qing-Yi Wei, 2013. "No Association between TGFB1 Polymorphisms and Late Radiotherapy Toxicity: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    • Handle: RePEc:plo:pone00:0076964
    DOI: 10.1371/journal.pone.0076964
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    1. Sue Duval & Richard Tweedie, 2000. "Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis," Biometrics, The International Biometric Society, vol. 56(2), pages 455-463, June.
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    1. Salvatore Terrazzino & Sarah Cargnin & Letizia Deantonio & Carla Pisani & Laura Masini & Pier Luigi Canonico & Armando A Genazzani & Marco Krengli, 2019. "Impact of ATM rs1801516 on late skin reactions of radiotherapy for breast cancer: Evidences from a cohort study and a trial sequential meta-analysis," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-21, November.

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