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GWAS Study

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

Kerns SL, Dorling L, Fachal L et al.

27515689 PubMed ID
GWAS Study Type
1409 Participants
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Chapter I

Publication Details

Comprehensive information about this research publication

Authors

KS
Kerns SL
DL
Dorling L
FL
Fachal L
BS
Bentzen S
PP
Pharoah PD
BD
Barnes DR
GA
Gómez-Caamaño A
CA
Carballo AM
DD
Dearnaley DP
PP
Peleteiro P
GS
Gulliford SL
HE
Hall E
MK
Michailidou K
Carracedo Á
SM
Sia M
SR
Stock R
SN
Stone NN
SM
Sydes MR
TJ
Tyrer JP
AS
Ahmed S
PM
Parliament M
OH
Ostrer H
RB
Rosenstein BS
VA
Vega A
BN
Burnet NG
DA
Dunning AM
BG
Barnett GC
WC
West CM
Chapter II

Abstract

Summary of the research findings

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.

1,409 European ancestry individuals

Chapter III

Study Statistics

Key metrics and study information

1409
Total Participants
GWAS
Study Type
No
Replicated
European
Ancestry
U.S., Canada, Spain
Recruitment Country
Chapter IV

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