Literature DB >> 28865512

Radiogenomics: Identification of Genomic Predictors for Radiation Toxicity.

Barry S Rosenstein1.   

Abstract

The overall goal of radiogenomics is the identification of genomic markers that are predictive for the development of adverse effects resulting from cancer treatment with radiation. The principal rationale for a focus on toxicity in radiogenomics is that for many patients treated with radiation, especially individuals diagnosed with early-stage cancers, the survival rates are high, and therefore a substantial number of people will live for a significant period of time beyond treatment. However, many of these patients could suffer from debilitating complications resulting from radiotherapy. Work in radiogenomics has greatly benefited from creation of the Radiogenomics Consortium (RGC) that includes investigators at multiple institutions located in a variety of countries. The common goal of the RGC membership is to share biospecimens and data so as to achieve large-scale studies with increased statistical power to enable identification of relevant genomic markers. A major aim of research in radiogenomics is the development of a predictive instrument to enable identification of people who are at greatest risk for adverse effects resulting from cancer treatment using radiation. It is anticipated that creation of a predictive assay characterized by a high level of sensitivity and specificity will improve precision radiotherapy and assist patients and their physicians to select the optimal treatment for each individual.
Copyright © 2017 Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28865512      PMCID: PMC5657449          DOI: 10.1016/j.semradonc.2017.04.005

Source DB:  PubMed          Journal:  Semin Radiat Oncol        ISSN: 1053-4296            Impact factor:   5.934


  78 in total

Review 1.  Can risk of radiotherapy-induced normal tissue complications be predicted from genetic profiles?

Authors:  Christian Nicolaj Andreassen
Journal:  Acta Oncol       Date:  2005       Impact factor: 4.089

Review 2.  Preventing or reducing late side effects of radiation therapy: radiobiology meets molecular pathology.

Authors:  Søren M Bentzen
Journal:  Nat Rev Cancer       Date:  2006-09       Impact factor: 60.716

Review 3.  Current perspectives on radiation therapy in autologous and prosthetic breast reconstruction.

Authors:  Mark W Clemens; Steven J Kronowitz
Journal:  Gland Surg       Date:  2015-06

4.  EMLasso: logistic lasso with missing data.

Authors:  N Sabbe; O Thas; J-P Ottoy
Journal:  Stat Med       Date:  2013-02-25       Impact factor: 2.373

Review 5.  Radiogenomics: using genetics to identify cancer patients at risk for development of adverse effects following radiotherapy.

Authors:  Sarah L Kerns; Harry Ostrer; Barry S Rosenstein
Journal:  Cancer Discov       Date:  2014-01-17       Impact factor: 39.397

6.  A 2-stage genome-wide association study to identify single nucleotide polymorphisms associated with development of erectile dysfunction following radiation therapy for prostate cancer.

Authors:  Sarah L Kerns; Richard Stock; Nelson Stone; Michael Buckstein; Yongzhao Shao; Christopher Campbell; Lynda Rath; Dirk De Ruysscher; Guido Lammering; Rosetta Hixson; Jamie Cesaretti; Mitchell Terk; Harry Ostrer; Barry S Rosenstein
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-09-26       Impact factor: 7.038

Review 7.  The structural basis of XRCC1-mediated DNA repair.

Authors:  Robert E London
Journal:  DNA Repair (Amst)       Date:  2015-02-16

Review 8.  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

9.  Conducting radiogenomic research--do not forget careful consideration of the clinical data.

Authors:  Christian Nicolaj Andreassen; Gillian C Barnett; Johannes A Langendijk; Jan Alsner; Dirk De Ruysscher; Mechtild Krause; Søren M Bentzen; Joanne S Haviland; Clare Griffin; Philip Poortmans; John R Yarnold
Journal:  Radiother Oncol       Date:  2012-12       Impact factor: 6.280

10.  mTOR is a selective effector of the radiation therapy response in androgen receptor-positive prostate cancer.

Authors:  Matthew J Schiewer; Robert Den; David T Hoang; Michael A Augello; Yaacov R Lawrence; Adam P Dicker; Karen E Knudsen
Journal:  Endocr Relat Cancer       Date:  2012-01-09       Impact factor: 5.678

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  17 in total

1.  Developing Predictive or Prognostic Biomarkers for Charged Particle Radiotherapy.

Authors:  Michael D Story; Jing Wang
Journal:  Int J Part Ther       Date:  2018

2.  Radiogenomic Predictors of Adverse Effects following Charged Particle Therapy.

Authors:  Lindsay M Morton; Luisel Ricks-Santi; Catharine M L West; Barry S Rosenstein
Journal:  Int J Part Ther       Date:  2018-09-21

Review 3.  Inclusion of dosimetric data as covariates in toxicity-related radiogenomic studies : A systematic review.

Authors:  Noorazrul Yahya; Xin-Jane Chua; Hanani A Manan; Fuad Ismail
Journal:  Strahlenther Onkol       Date:  2018-05-17       Impact factor: 3.621

4.  Radiogenomics of rectal adenocarcinoma in the era of precision medicine: A pilot study of associations between qualitative and quantitative MRI imaging features and genetic mutations.

Authors:  Natally Horvat; Harini Veeraraghavan; Raphael A Pelossof; Maria Clara Fernandes; Arshi Arora; Monika Khan; Michael Marco; Chin-Tung Cheng; Mithat Gonen; Jennifer S Golia Pernicka; Marc J Gollub; Julio Garcia-Aguillar; Iva Petkovska
Journal:  Eur J Radiol       Date:  2019-02-18       Impact factor: 3.528

Review 5.  Genomics, bio specimens, and other biological data: Current status and future directions.

Authors:  Barry S Rosenstein; Arvind Rao; Jean M Moran; Daniel E Spratt; Marc S Mendonca; Bissan Al-Lazikani; Charles S Mayo; Corey Speers
Journal:  Med Phys       Date:  2018-09-18       Impact factor: 4.071

Review 6.  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

7.  Gene alterations as predictors of radiation-induced toxicity in head and neck squamous cell carcinoma.

Authors:  Whitney Sumner; Xenia Ray; Leisa Sutton; Daniel Rebibo; Francesco Marincola; Parag Sanghvi; Vitali Moiseenko; Ida Deichaite
Journal:  J Transl Med       Date:  2021-05-17       Impact factor: 5.531

Review 8.  Radiation-Induced Chromosomal Aberrations and Immunotherapy: Micronuclei, Cytosolic DNA, and Interferon-Production Pathway.

Authors:  Marco Durante; Silvia C Formenti
Journal:  Front Oncol       Date:  2018-05-29       Impact factor: 6.244

Review 9.  Immunomodulation by radiotherapy in tumour control and normal tissue toxicity.

Authors:  Urszula M Cytlak; Douglas P Dyer; Jamie Honeychurch; Kaye J Williams; Mark A Travis; Timothy M Illidge
Journal:  Nat Rev Immunol       Date:  2021-07-01       Impact factor: 53.106

10.  Selection of external beam radiotherapy approaches for precise and accurate cancer treatment.

Authors:  Hiroki Shirato; Quynh-Thu Le; Keiji Kobashi; Anussara Prayongrat; Seishin Takao; Shinichi Shimizu; Amato Giaccia; Lei Xing; Kikuo Umegaki
Journal:  J Radiat Res       Date:  2018-03-01       Impact factor: 2.724

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