Literature DB >> 26828014

Radiogenomics - current status, challenges and future directions.

Christian Nicolaj Andreassen1, Line Meinertz Hybel Schack2, Louise Vagner Laursen2, Jan Alsner2.   

Abstract

Radiogenomics designates a scientific field that addresses possible associations between genetic germline alterations and normal tissue toxicity after radiotherapy. The ultimate aim of this research is to establish a gene-based predictive test for normal tissue radiosensitivity. During the last 5 years, substantial progress has been achieved in this field. Several compelling associations for SNPs have been demonstrated in large candidate gene studies as well as genome wide association studies. These findings shed new light on radiobiology and expand our understanding of the processes that lead to side effects after radiotherapy. Despite this, certain fundamental challenges still relate to genomic approaches. Based on the latest insights into complex trait genetics and molecular genetics, we provide an analysis of these challenges and propose putative strategies to further advance the field. These strategies include 'big data approaches' and collaborative research within international consortia. Furthermore, research that combines the study of radiation-induced gene expression and genome-wide SNP genotype may discover genetic alterations that regulate the biological response to ionizing radiation. Thus, such integrative approaches may lead to genetic alterations that affect risk of normal tissue toxicity.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Complex trait; Expression quantitative trait loci; Normal tissue toxicity; Predictive assay; Radiosensitivity; SNP

Mesh:

Substances:

Year:  2016        PMID: 26828014     DOI: 10.1016/j.canlet.2016.01.035

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  20 in total

1.  A score combining baseline neutrophilia and primary tumor SUVpeak measured from FDG PET is associated with outcome in locally advanced cervical cancer.

Authors:  Antoine Schernberg; Sylvain Reuze; Fanny Orlhac; Irène Buvat; Laurent Dercle; Roger Sun; Elaine Limkin; Alexandre Escande; Christine Haie-Meder; Eric Deutsch; Cyrus Chargari; Charlotte Robert
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-09-15       Impact factor: 9.236

Review 2.  Proton beam therapy: perspectives on the National Health Service England clinical service and research programme.

Authors:  Neil G Burnet; Ranald I Mackay; Ed Smith; Amy L Chadwick; Gillian A Whitfield; David J Thomson; Matthew Lowe; Norman F Kirkby; Adrian M Crellin; Karen J Kirkby
Journal:  Br J Radiol       Date:  2020-01-14       Impact factor: 3.039

Review 3.  Radiogenomics Based on PET Imaging.

Authors:  Yong-Jin Park; Mu Heon Shin; Seung Hwan Moon
Journal:  Nucl Med Mol Imaging       Date:  2020-05-09

Review 4.  Radiogenomics: Identification of Genomic Predictors for Radiation Toxicity.

Authors:  Barry S Rosenstein
Journal:  Semin Radiat Oncol       Date:  2017-10       Impact factor: 5.934

5.  Radiation Therapy Outcomes Models in the Era of Radiomics and Radiogenomics: Uncertainties and Validation.

Authors:  Issam El Naqa; Gaurav Pandey; Hugo Aerts; Jen-Tzung Chien; Christian Nicolaj Andreassen; Andrzej Niemierko; Randall K Ten Haken
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-10-18       Impact factor: 7.038

6.  Correlations between metabolic texture features, genetic heterogeneity, and mutation burden in patients with lung cancer.

Authors:  Seung Hwan Moon; Jinho Kim; Je-Gun Joung; Hongui Cha; Woong-Yang Park; Jin Seok Ahn; Myung-Ju Ahn; Keunchil Park; Joon Young Choi; Kyung-Han Lee; Byung-Tae Kim; Se-Hoon Lee
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-08-25       Impact factor: 9.236

7.  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 8.  [A primer on radiomics].

Authors:  Jacob M Murray; Georgios Kaissis; Rickmer Braren; Jens Kleesiek
Journal:  Radiologe       Date:  2020-01       Impact factor: 0.635

Review 9.  Optimal design and patient selection for interventional trials using radiogenomic biomarkers: A REQUITE and Radiogenomics consortium statement.

Authors:  Dirk De Ruysscher; Gilles Defraene; Bram L T Ramaekers; Philippe Lambin; Erik Briers; Hilary Stobart; Tim Ward; Søren M Bentzen; Tjeerd Van Staa; David Azria; Barry Rosenstein; Sarah Kerns; Catharine West
Journal:  Radiother Oncol       Date:  2016-12-12       Impact factor: 6.280

Review 10.  Genomics models in radiotherapy: From mechanistic to machine learning.

Authors:  John Kang; James T Coates; Robert L Strawderman; Barry S Rosenstein; Sarah L Kerns
Journal:  Med Phys       Date:  2020-06       Impact factor: 4.071

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.