eprintid: 1505704
rev_number: 34
eprint_status: archive
userid: 608
dir: disk0/01/50/57/04
datestamp: 2016-11-21 16:12:26
lastmod: 2021-12-02 00:20:30
status_changed: 2016-11-21 16:12:26
type: article
metadata_visibility: show
creators_name: Kerns, SL
creators_name: Dorling, L
creators_name: Fachal, L
creators_name: Bentzen, S
creators_name: Pharoah, PD
creators_name: Barnes, DR
creators_name: Gómez-Caamaño, A
creators_name: Carballo, AM
creators_name: Dearnaley, DP
creators_name: Peleteiro, P
creators_name: Gulliford, SL
creators_name: Hall, E
creators_name: Michailidou, K
creators_name: Carracedo, Á
creators_name: Sia, M
creators_name: Stock, R
creators_name: Stone, NN
creators_name: Sydes, MR
creators_name: Tyrer, JP
creators_name: Ahmed, S
creators_name: Parliament, M
creators_name: Ostrer, H
creators_name: Rosenstein, BS
creators_name: Vega, A
creators_name: Burnet, NG
creators_name: Dunning, AM
creators_name: Barnett, GC
creators_name: West, CM
creators_name: Radiogenomics Consortium, .
title: Meta-analysis of Genome Wide Association Studies Identifies Genetic Markers of Late Toxicity Following Radiotherapy for Prostate Cancer
ispublished: pub
divisions: UCL
divisions: B02
divisions: D65
divisions: J38
keywords: Cancer survivorship, Genome-wide association study, Prostate cancer, Quality of life, Radiation toxicity, Radiogenomics
note: © 2016 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
abstract: Nearly 50% of cancer patients undergo radiotherapy. Late radiotherapy toxicity affects quality-of-life in long-term cancer survivors and risk of side-effects in a minority limits doses prescribed to the majority of patients. Development of a test predicting risk of toxicity could benefit many cancer patients. We aimed to meta-analyze individual level data from four genome-wide association studies from prostate cancer radiotherapy cohorts including 1564 men to identify genetic markers of toxicity. Prospectively assessed two-year toxicity endpoints (urinary frequency, decreased urine stream, rectal bleeding, overall toxicity) and single nucleotide polymorphism (SNP) associations were tested using multivariable regression, adjusting for clinical and patient-related risk factors. A fixed-effects meta-analysis identified two SNPs: rs17599026 on 5q31.2 with urinary frequency (odds ratio [OR] 3.12, 95% confidence interval [CI] 2.08-4.69, p-value 4.16×10(-8)) and rs7720298 on 5p15.2 with decreased urine stream (OR 2.71, 95% CI 1.90-3.86, p-value=3.21×10(-8)). These SNPs lie within genes that are expressed in tissues adversely affected by pelvic radiotherapy including bladder, kidney, rectum and small intestine. The results show that heterogeneous radiotherapy cohorts can be combined to identify new moderate-penetrance genetic variants associated with radiotherapy toxicity. The work provides a basis for larger collaborative efforts to identify enough variants for a future test involving polygenic risk profiling.
date: 2016-08
date_type: published
official_url: http://doi.org/10.1016/j.ebiom.2016.07.022
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
article_type_text: Journal Article
verified: verified_manual
elements_id: 1143637
doi: 10.1016/j.ebiom.2016.07.022
pii: S2352-3964(16)30327-9
lyricists_name: Sydes, Matthew
lyricists_id: MRSYD21
actors_name: Sydes, Matthew
actors_id: MRSYD21
actors_role: owner
full_text_status: public
publication: EBioMedicine
volume: 10
pagerange: 150-163
event_location: Netherlands
issn: 2352-3964
citation:        Kerns, SL;    Dorling, L;    Fachal, L;    Bentzen, S;    Pharoah, PD;    Barnes, DR;    Gómez-Caamaño, A;                                                                                         ... Radiogenomics Consortium, .; + view all <#>        Kerns, SL;  Dorling, L;  Fachal, L;  Bentzen, S;  Pharoah, PD;  Barnes, DR;  Gómez-Caamaño, A;  Carballo, AM;  Dearnaley, DP;  Peleteiro, P;  Gulliford, SL;  Hall, E;  Michailidou, K;  Carracedo, Á;  Sia, M;  Stock, R;  Stone, NN;  Sydes, MR;  Tyrer, JP;  Ahmed, S;  Parliament, M;  Ostrer, H;  Rosenstein, BS;  Vega, A;  Burnet, NG;  Dunning, AM;  Barnett, GC;  West, CM;  Radiogenomics Consortium, .;   - view fewer <#>    (2016)    Meta-analysis of Genome Wide Association Studies Identifies Genetic Markers of Late Toxicity Following Radiotherapy for Prostate Cancer.                   EBioMedicine , 10    pp. 150-163.    10.1016/j.ebiom.2016.07.022 <https://doi.org/10.1016/j.ebiom.2016.07.022>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1505704/1/sydes_final_pdf__1-s2.0-S2352396416303279-main.pdf