Back to Search Start Over

Meta-analysis of Genome Wide Association Studies Identifies Genetic Markers of Late Toxicity Following Radiotherapy for Prostate Cancer

Authors :
Sarah L. Kerns
Leila Dorling
Laura Fachal
Søren Bentzen
Paul D.P. Pharoah
Daniel R. Barnes
Antonio Gómez-Caamaño
Ana M. Carballo
David P. Dearnaley
Paula Peleteiro
Sarah L. Gulliford
Emma Hall
Kyriaki Michailidou
Ángel Carracedo
Michael Sia
Richard Stock
Nelson N. Stone
Matthew R. Sydes
Jonathan P. Tyrer
Shahana Ahmed
Matthew Parliament
Harry Ostrer
Barry S. Rosenstein
Ana Vega
Neil G. Burnet
Alison M. Dunning
Gillian C. Barnett
Catharine M.L. West
Source :
EBioMedicine, Vol 10, Iss C, Pp 150-163 (2016)
Publication Year :
2016
Publisher :
Elsevier, 2016.

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.

Details

Language :
English
ISSN :
23523964
Volume :
10
Issue :
C
Database :
Directory of Open Access Journals
Journal :
EBioMedicine
Publication Type :
Academic Journal
Accession number :
edsdoj.6a03d9a7bdc9422d837243b1ccbd49a0
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ebiom.2016.07.022