Ataxia Telangiectasia-Mutated Gene Polymorphisms and Acute Normal Tissue Injuries in Cancer Patients After Radiation Therapy: A Systematic Review and Meta-analysis

被引:30
|
作者
Dong, Lihua [1 ]
Cui, Jingkun [2 ]
Tang, Fengjiao [3 ]
Cong, Xiaofeng [3 ]
Han, Fujun [3 ]
机构
[1] Jilin Univ, Hosp 1, Dept Radiat Oncol, Changchun 130021, Peoples R China
[2] Jilin Univ, Dept Internal Med, Nanling Sch Dist Hosp, Changchun 130021, Peoples R China
[3] Jilin Univ, Hosp 1, Ctr Canc, Changchun 130021, Peoples R China
关键词
SINGLE NUCLEOTIDE POLYMORPHISMS; GENOME-WIDE ASSOCIATION; INDUCED SUBCUTANEOUS FIBROSIS; LATE RADIOTHERAPY TOXICITY; ATM SEQUENCE VARIANTS; BREAST-CANCER; PROSTATE-CANCER; FIELD SYNOPSIS; DNA-DAMAGE; RISK;
D O I
10.1016/j.ijrobp.2014.12.041
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Purpose: Studies of the association between ataxia telangiectasia-mutated (ATM) gene polymorphisms and acute radiation injuries are often small in sample size, and the results are inconsistent. We conducted the first meta-analysis to provide a systematic review of published findings. Methods and Materials: Publications were identified by searching PubMed up to April 25, 2014. Primary meta-analysis was performed for all acute radiation injuries, and subgroup meta-analyses were based on clinical endpoint. The influence of sample size and radiation injury incidence on genetic effects was estimated in sensitivity analyses. Power calculations were also conducted. Results: The meta-analysis was conducted on the ATM polymorphism rs1801516, including 5 studies with 1588 participants. For all studies, the cut-off for differentiating cases from controls was grade 2 acute radiation injuries. The primary metaanalysis showed a significant association with overall acute radiation injuries (allelic model: odds ratio = 1.33, 95% confidence interval: 1.04-1.71). Subgroup analyses detected an association between the rs1801516 polymorphism and a significant increase in urinary and lower gastrointestinal injuries and an increase in skin injury that was not statistically significant. There was no between-study heterogeneity in any meta-analyses. In the sensitivity analyses, small studies did not show larger effects than large studies. In addition, studies with high incidence of acute radiation injuries showed larger effects than studies with low incidence. Power calculations revealed that the statistical power of the primary meta-analysis was borderline, whereas there was adequate power for the subgroup analysis of studies with high incidence of acute radiation injuries. Conclusions: Our meta-analysis showed a consistency of the results from the overall and subgroup analyses. We also showed that the genetic effect of the rs1801516 polymorphism on acute radiation injuries was dependent on the incidence of the injury. These support the evidence of an association between the rs1801516 polymorphism and acute radiation injuries, encouraging further research of this topic. (C) 2015 Elsevier Inc. All rights reserved.
引用
收藏
页码:1090 / 1098
页数:9
相关论文
共 50 条
  • [1] The prevalence of ataxia telangiectasia mutated (ATM) variants in patients with breast cancer patients: a systematic review and meta-analysis
    Moslemi, Masoumeh
    Vafaei, Maryam
    Khani, Pouria
    Soheili, Marzieh
    Nedaeinia, Reza
    Manian, Mostafa
    Moradi, Yousef
    Sohrabi, Ehsan
    CANCER CELL INTERNATIONAL, 2021, 21 (01)
  • [2] The prevalence of ataxia telangiectasia mutated (ATM) variants in patients with breast cancer patients: a systematic review and meta-analysis
    Masoumeh Moslemi
    Maryam Vafaei
    Pouria Khani
    Marzieh Soheili
    Reza Nedaeinia
    Mostafa Manian
    Yousef Moradi
    Ehsan Sohrabi
    Cancer Cell International, 21
  • [3] Single Nucleotide Polymorphism rs1801516 in Ataxia Telangiectasia-Mutated Gene Predicts Late Fibrosis in Cancer Patients After Radiotherapy A PRISMA-Compliant Systematic Review and Meta-Analysis
    Zhang, Yuyu
    Liu, Ziling
    Wang, Mengmeng
    Tian, Huimin
    Su, Keju
    Cui, Jiuwei
    Dong, Lihua
    Han, Fujun
    MEDICINE, 2016, 95 (14)
  • [4] A meta-analysis of the relationship between ataxia-telangiectasia mutated gene polymorphisms and lung cancer susceptibility
    Xu, Yanling
    Gao, Peng
    Lv, Xuejiao
    Zhang, Lin
    Li, Wei
    Zhang, Jie
    PATHOLOGY RESEARCH AND PRACTICE, 2017, 213 (09) : 1152 - 1159
  • [5] Gene-environment interaction for polymorphisms in ataxia telangiectasia-mutated gene and radiation exposure in carcinogenesis: results from two literature-based meta-analyses of 27120 participants
    Zhao, Yuguang
    Yang, Lei
    Wu, Di
    He, Hua
    Wang, Mengmeng
    Ge, Tingwen
    Liu, Yudi
    Tian, Huimin
    Cui, Jiuwei
    Jia, Lin
    Wan, Ziqiang
    Han, Fujun
    ONCOTARGET, 2016, 7 (47) : 76867 - 76881
  • [6] Single nucleotide polymorphisms to predict acute radiation dermatitis in breast cancer patients: A systematic review and meta-analysis
    de Aguiar, Beatriz Regina Lima
    Ferreira, Elaine Barros
    Normando, Ana Gabriela Costa
    Mazzeu, Juliana F.
    Assad, Daniele Xavier
    Guerra, Eliete Neves Silva
    dos Reis, Paula Elaine Diniz
    CRITICAL REVIEWS IN ONCOLOGY HEMATOLOGY, 2022, 173
  • [7] Health risks for ataxia-telangiectasia mutated heterozygotes: a systematic review, meta-analysis and evidence-based guideline
    van Os, N. J. H.
    Roeleveld, N.
    Weemaes, C. M. R.
    Jongmans, M. C. J.
    Janssens, G. O.
    Taylor, A. M. R.
    Hoogerbrugge, N.
    Willemsen, M. A. A. P.
    CLINICAL GENETICS, 2016, 90 (02) : 105 - 117
  • [8] Association of Gene Polymorphisms with Normal Tension Glaucoma: A Systematic Review and Meta-Analysis
    Pan, Lijie
    Wu, Jian
    Wang, Ningli
    GENES, 2024, 15 (04)
  • [9] ASSOCIATION OF SINGLE NUCLEOTIDE POLYMORPHISMS WITH SEVERITY OF ACUTE RADIATION DERMATITIS IN BREAST CANCER PATIENTS: SYSTEMATIC REVIEW AND META-ANALYSIS
    Aguiar, Beatriz
    Normando, Ana
    Guerra, Eliete
    Ferreira, Elaine
    Reis, Paula
    ONCOLOGY NURSING FORUM, 2022, 49 (02) : E6 - E7
  • [10] A Systematic Review and Meta-Analysis for the Association of Gene Polymorphisms in RAN with Cancer Risk
    Li, Yanke
    Zhang, Fuqiang
    Xing, Chengzhong
    DISEASE MARKERS, 2020, 2020