Large-scale meta-genome-wide association study reveals common genetic factors linked to radiation-induced acute toxicities across cancer types.

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Date
2023-10-31Author
Naderi, E
Aguado-Barrera, ME
Schack, LMH
Dorling, L
Rattay, T
Fachal, L
Summersgill, H
Martínez-Calvo, L
Welsh, C
Dudding, T
Odding, Y
Varela-Pazos, A
Jena, R
Thomson, DJ
Steenbakkers, RJHM
Dennis, J
Lobato-Busto, R
Alsner, J
Ness, A
Nutting, C
Gómez-Caamaño, A
Eriksen, JG
Thomas, SJ
Bates, AM
Webb, AJ
Choudhury, A
Rosenstein, BS
Taboada-Valladares, B
Herskind, C
Azria, D
Dearnaley, DP
de Ruysscher, D
Sperk, E
Hall, E
Stobart, H
Chang-Claude, J
De Ruyck, K
Veldeman, L
Altabas, M
De Santis, MC
Farcy-Jacquet, M-P
Veldwijk, MR
Sydes, MR
Parliament, M
Usmani, N
Burnet, NG
Seibold, P
Symonds, RP
Elliott, RM
Bultijnck, R
Gutiérrez-Enríquez, S
Mollà, M
Gulliford, SL
Green, S
Rancati, T
Reyes, V
Carballo, A
Peleteiro, P
Sosa-Fajardo, P
Parker, C
Fonteyne, V
Johnson, K
Lambrecht, M
Vanneste, B
Valdagni, R
Giraldo, A
Ramos, M
Diergaarde, B
Liu, G
Leal, SM
Chua, MLK
Pring, M
Overgaard, J
Cascallar-Caneda, LM
Duprez, F
Talbot, CJ
Barnett, GC
Dunning, AM
Vega, A
Andreassen, CN
Langendijk, JA
West, CML
Alizadeh, BZ
Kerns, SL
Radiogenomics Consortium,
Type
Journal Article
Metadata
Show full item recordAbstract
BACKGROUND: This study was designed to identify common genetic susceptibility and shared genetic variants associated with acute radiation-induced toxicity across 4 cancer types (prostate, head and neck, breast, and lung). METHODS: A genome-wide association study meta-analysis was performed using 19 cohorts totaling 12 042 patients. Acute standardized total average toxicity (STATacute) was modelled using a generalized linear regression model for additive effect of genetic variants, adjusted for demographic and clinical covariates (rSTATacute). Linkage disequilibrium score regression estimated shared single-nucleotide variation (SNV-formerly SNP)-based heritability of rSTATacute in all patients and for each cancer type. RESULTS: Shared SNV-based heritability of STATacute among all cancer types was estimated at 10% (SE = 0.02) and was higher for prostate (17%, SE = 0.07), head and neck (27%, SE = 0.09), and breast (16%, SE = 0.09) cancers. We identified 130 suggestive associated SNVs with rSTATacute (5.0 × 10‒8 < P < 1.0 × 10‒5) across 25 genomic regions. rs142667902 showed the strongest association (effect allele A; effect size ‒0.17; P = 1.7 × 10‒7), which is located near DPPA4, encoding a protein involved in pluripotency in stem cells, which are essential for repair of radiation-induced tissue injury. Gene-set enrichment analysis identified 'RNA splicing via endonucleolytic cleavage and ligation' (P = 5.1 × 10‒6, P = .079 corrected) as the top gene set associated with rSTATacute among all patients. In silico gene expression analysis showed that the genes associated with rSTATacute were statistically significantly up-regulated in skin (not sun exposed P = .004 corrected; sun exposed P = .026 corrected). CONCLUSIONS: There is shared SNV-based heritability for acute radiation-induced toxicity across and within individual cancer sites. Future meta-genome-wide association studies among large radiation therapy patient cohorts are worthwhile to identify the common causal variants for acute radiotoxicity across cancer types.
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Subject
GWAS
Radiogenomics
SNP-based heritability
acute radiation-induced toxicity
Research team
Clinic Acad RT Dearnaley
Clin Trials & Stats Unit
Language
eng
Date accepted
2023-10-18
License start date
2023-10-20
Citation
JNCI Cancer Spectrum, 2023, pp. pkad088 -
Publisher
Oxford University Press (OUP)