Literature DB >> 25605158

Meta-analysis of associations between ATM Asp1853Asn and TP53 Arg72Pro polymorphisms and adverse effects of cancer radiotherapy.

Meng Su1, Zhi-Hua Yin, Wei Wu, Xue-Lian Li, Bao-Sen Zhou.   

Abstract

BACKGROUND: The ataxia telangiectasia mutated (ATM) protein and p53 play key roles in sensing and repairing radiation-induced DNA double strand breaks (DSBs). Accumulating epidemiological evidence indicates that functional genetic variants in ATM and TP53 genes may have an impact on the risk of radiotherapy-induced side effects. Here we performed a meta-analysis to investigate the potential interaction between ATM Asp1853Asn and TP53 polymorphisms and risk of radiotherapy-induced adverse effects quantitatively.
MATERIALS AND METHODS: Relevant articles were retrieved from PubMed, ISI Web of Science and the China National Knowledge Infrastructure (CNKI) databases. Eligible studies were selected according to specific inclusion and exclusion criteria. Odds ratios (ORs) and 95% confidence intervals (CIs) were pooled to estimate the association between ATM Asp1853Asn and TP53 Arg72Pro polymorphisms and risk of radiotherapy adverse effects. All analyses were performed using the Stata software.
RESULTS: A total of twenty articles were included in the present analysis. In the overall analysis, no significant associations between ATM Asp1853Asn and TP53 Arg72Pro polymorphisms and the risk of radiotherapy adverse effects were found. We conducted subgroup analysis stratified by type of cancer, region and time of appearance of side effects subsequently. No significant association between ATM Asp1853Asn and risk of radiotherapy adverse effects was found in any subgroup analysis. For TP53 Arg72Pro, variant C allele was associated with decreased radiotherapy adverse effects risk among Asian cancer patients in the stratified analysis by region (OR=0.71, 95%CI: 0.54-0.93, p=0.012). No significant results were found in the subgroup analysis of tumor type and time of appearance of side effects.
CONCLUSIONS: The TP53 Arg72Pro C allele might be a protective factor of radiotherapy-induced adverse effects among cancer patients from Asia. Further studies that take into consideration treatment-related factors and patient lifestyle including environmental exposures are warranted.

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Year:  2014        PMID: 25605158     DOI: 10.7314/apjcp.2014.15.24.10675

Source DB:  PubMed          Journal:  Asian Pac J Cancer Prev        ISSN: 1513-7368


  5 in total

1.  Individual patient data meta-analysis shows a significant association between the ATM rs1801516 SNP and toxicity after radiotherapy in 5456 breast and prostate cancer patients.

Authors:  Christian Nicolaj Andreassen; Barry S Rosenstein; Sarah L Kerns; Harry Ostrer; Dirk De Ruysscher; Jamie A Cesaretti; Gillian C Barnett; Alison M Dunning; Leila Dorling; Catharine M L West; Neil G Burnet; Rebecca Elliott; Charlotte Coles; Emma Hall; Laura Fachal; Ana Vega; Antonio Gómez-Caamaño; Christopher J Talbot; R Paul Symonds; Kim De Ruyck; Hubert Thierens; Piet Ost; Jenny Chang-Claude; Petra Seibold; Odilia Popanda; Marie Overgaard; David Dearnaley; Matthew R Sydes; David Azria; Christine Anne Koch; Matthew Parliament; Michael Blackshaw; Michael Sia; Maria J Fuentes-Raspall; Teresa Ramon Y Cajal; Agustin Barnadas; Danny Vesprini; Sara Gutiérrez-Enríquez; Meritxell Mollà; Orland Díez; John R Yarnold; Jens Overgaard; Søren M Bentzen; Jan Alsner
Journal:  Radiother Oncol       Date:  2016-07-18       Impact factor: 6.280

Review 2.  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.

Authors:  Yuyu Zhang; Ziling Liu; Mengmeng Wang; Huimin Tian; Keju Su; Jiuwei Cui; Lihua Dong; Fujun Han
Journal:  Medicine (Baltimore)       Date:  2016-04       Impact factor: 1.889

3.  ATM in breast and brain tumors: a comprehensive review.

Authors:  Mehrdad Asghari Estiar; Parvin Mehdipour
Journal:  Cancer Biol Med       Date:  2018-08       Impact factor: 4.248

Review 4.  Insights into the theranostic value of precision medicine on advanced radiotherapy to breast cancer.

Authors:  Man Jiang; Jianshe Yang; Kang Li; Jia Liu; Xigang Jing; Meiqin Tang
Journal:  Int J Med Sci       Date:  2021-01-01       Impact factor: 3.738

5.  Impact of ATM rs1801516 on late skin reactions of radiotherapy for breast cancer: Evidences from a cohort study and a trial sequential meta-analysis.

Authors:  Salvatore Terrazzino; Sarah Cargnin; Letizia Deantonio; Carla Pisani; Laura Masini; Pier Luigi Canonico; Armando A Genazzani; Marco Krengli
Journal:  PLoS One       Date:  2019-11-22       Impact factor: 3.240

  5 in total

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