Literature DB >> 23245645

Will SNPs be useful predictors of normal tissue radiosensitivity in the future?

Christian Nicolaj Andreassen1, Ekkehard Dikomey, Matthew Parliament, Catharine Mary Louise West.   

Abstract

The ability to predict individual risk of radiation-induced normal tissue complications is a long sought goal in radiobiology. The last decade saw increasing interest in identifying associations between single nucleotide polymorphisms (SNPs) and normal tissue complication risk. Nevertheless, it remains controversial whether SNPs will be useful predictors of normal tissue radiosensitivity. This paper provides a summary of a scientific debate held at the 31st ESTRO conference in which four scientists argued in favor or against the motion that SNPs will be useful predictors of normal tissue radiosensitivity in the future.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 23245645     DOI: 10.1016/j.radonc.2012.11.003

Source DB:  PubMed          Journal:  Radiother Oncol        ISSN: 0167-8140            Impact factor:   6.280


  10 in total

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Authors:  Grace Shim; Michelle Ricoul; William M Hempel; Edouard I Azzam; Laure Sabatier
Journal:  Mutat Res Rev Mutat Res       Date:  2014-01-31       Impact factor: 5.657

Review 2.  Polymorphisms in base excision repair genes: Breast cancer risk and individual radiosensitivity.

Authors:  Clarice Patrono; Silvia Sterpone; Antonella Testa; Renata Cozzi
Journal:  World J Clin Oncol       Date:  2014-12-10

Review 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.

Authors:  Yuyu Zhang; Ziling Liu; Mengmeng Wang; Huimin Tian; Keju Su; Jiuwei Cui; Lihua Dong; Fujun Han
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4.  Single nucleotide polymorphisms and unacceptable late toxicity in breast cancer adjuvant radiotherapy: a case report.

Authors:  Grazia Lazzari; Maria Iole Natalicchio; Angela Terlizzi; Francesco Perri; Giovanni Silvano
Journal:  Breast Cancer (Dove Med Press)       Date:  2017-05-29

5.  Biological Pathways Associated With the Development of Pulmonary Toxicities in Mesothelioma Patients Treated With Radical Hemithoracic Radiation Therapy: A Preliminary Study.

Authors:  Sergio Crovella; Alberto Revelant; Elena Muraro; Ronald Rodrigues Moura; Lucas Brandão; Marco Trovò; Agostino Steffan; Paola Zacchi; Giuliano Zabucchi; Emilio Minatel; Violetta Borelli
Journal:  Front Oncol       Date:  2021-12-22       Impact factor: 6.244

6.  Polymorphisms in radio-responsive genes and its association with acute toxicity among head and neck cancer patients.

Authors:  Goutham Hassan Venkatesh; Vadhiraja Bejadi Manjunath; Kamalesh Dattaram Mumbrekar; Hitendra Negi; Donald Jerard Fernandes; Krishna Sharan; Sourjya Banerjee; Satish Rao Bola Sadashiva
Journal:  PLoS One       Date:  2014-03-04       Impact factor: 3.240

7.  Comparison of Individual Radiosensitivity to γ-Rays and Carbon Ions.

Authors:  Grace Shim; Marie Delna Normil; Isabelle Testard; William M Hempel; Michelle Ricoul; Laure Sabatier
Journal:  Front Oncol       Date:  2016-06-13       Impact factor: 6.244

8.  Predictive value of single nucleotide polymorphisms in XRCC1 for radiation-induced normal tissue toxicity.

Authors:  Jing Zhao; Zheng Zhi; Ming Zhang; Qingxia Li; Jing Li; Xiao Wang; Chunling Ma
Journal:  Onco Targets Ther       Date:  2018-07-06       Impact factor: 4.147

9.  Association between NF-κB Activation in Peripheral Blood Mononuclear Cells and Late Skin and Subcutaneous Fibrosis following Radiotherapy.

Authors:  Yapin Su; Yuyu Zhang; Meiting Sun; Wenhui Liu; Fengli Pei; Fujun Han
Journal:  Biomed Res Int       Date:  2020-07-21       Impact factor: 3.411

10.  Combining CDKN1A gene expression and genome-wide SNPs in a twin cohort to gain insight into the heritability of individual radiosensitivity.

Authors:  Joanna Zyla; Sylwia Kabacik; Grainne O'Brien; Salma Wakil; Najla Al-Harbi; Jaakko Kaprio; Christophe Badie; Joanna Polanska; Ghazi Alsbeih
Journal:  Funct Integr Genomics       Date:  2019-01-31       Impact factor: 3.410

  10 in total

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