Pattern Recognition Receptor Polymorphisms as Predictors of Oxaliplatin Benefit in Colorectal Cancer.


Journal

Journal of the National Cancer Institute
ISSN: 1460-2105
Titre abrégé: J Natl Cancer Inst
Pays: United States
ID NLM: 7503089

Informations de publication

Date de publication:
01 08 2019
Historique:
received: 10 06 2018
revised: 22 08 2018
accepted: 19 11 2018
pubmed: 17 1 2019
medline: 10 6 2020
entrez: 17 1 2019
Statut: ppublish

Résumé

Constitutional loss of function (LOF) single nucleotide polymorphisms (SNPs) in pattern recognition receptors FPR1, TLR3, and TLR4 have previously been reported to predict oxaliplatin benefit in colorectal cancer. Confirmation of this association could substantially improve patient stratification. We performed a retrospective biomarker analysis of the Short Course in Oncology Therapy (SCOT) and COIN/COIN-B trials. Participant status for LOF variants in FPR1 (rs867228), TLR3 (rs3775291), and TLR4 (rs4986790/rs4986791) was determined by genotyping array or genotype imputation. Associations between LOF variants and disease-free survival (DFS) and overall survival (OS) were analyzed by Cox regression, adjusted for confounders, using additive, dominant, and recessive genetic models. All statistical tests were two-sided. Our validation study populations included 2929 and 1948 patients in the SCOT and COIN/COIN-B cohorts, respectively, of whom 2728 and 1672 patients had functional status of all three SNPs determined. We found no evidence of an association between any SNP and DFS in the SCOT cohort, or with OS in either cohort, irrespective of the type of model used. This included models for which an association was previously reported for rs867228 (recessive model, multivariable-adjusted hazard ratio [HR] for DFS in SCOT = 1.19, 95% confidence interval [CI] = 0.99 to 1.45, P = .07; HR for OS in COIN/COIN-B = 0.92, 95% CI = 0.63 to 1.34, P = .66), and rs4986790 (dominant model, multivariable-adjusted HR for DFS in SCOT = 0.86, 95% CI = 0.65 to 1.13, P = .27; HR for OS in COIN/COIN-B = 1.08, 95% CI = 0.90 to 1.31, P = .40). In this prespecified analysis of two large clinical trials, we found no evidence that constitutional LOF SNPs in FPR1, TLR3, or TLR4 are associated with differential benefit from oxaliplatin. Our results suggest these SNPs are unlikely to be clinically useful biomarkers.

Sections du résumé

BACKGROUND
Constitutional loss of function (LOF) single nucleotide polymorphisms (SNPs) in pattern recognition receptors FPR1, TLR3, and TLR4 have previously been reported to predict oxaliplatin benefit in colorectal cancer. Confirmation of this association could substantially improve patient stratification.
METHODS
We performed a retrospective biomarker analysis of the Short Course in Oncology Therapy (SCOT) and COIN/COIN-B trials. Participant status for LOF variants in FPR1 (rs867228), TLR3 (rs3775291), and TLR4 (rs4986790/rs4986791) was determined by genotyping array or genotype imputation. Associations between LOF variants and disease-free survival (DFS) and overall survival (OS) were analyzed by Cox regression, adjusted for confounders, using additive, dominant, and recessive genetic models. All statistical tests were two-sided.
RESULTS
Our validation study populations included 2929 and 1948 patients in the SCOT and COIN/COIN-B cohorts, respectively, of whom 2728 and 1672 patients had functional status of all three SNPs determined. We found no evidence of an association between any SNP and DFS in the SCOT cohort, or with OS in either cohort, irrespective of the type of model used. This included models for which an association was previously reported for rs867228 (recessive model, multivariable-adjusted hazard ratio [HR] for DFS in SCOT = 1.19, 95% confidence interval [CI] = 0.99 to 1.45, P = .07; HR for OS in COIN/COIN-B = 0.92, 95% CI = 0.63 to 1.34, P = .66), and rs4986790 (dominant model, multivariable-adjusted HR for DFS in SCOT = 0.86, 95% CI = 0.65 to 1.13, P = .27; HR for OS in COIN/COIN-B = 1.08, 95% CI = 0.90 to 1.31, P = .40).
CONCLUSION
In this prespecified analysis of two large clinical trials, we found no evidence that constitutional LOF SNPs in FPR1, TLR3, or TLR4 are associated with differential benefit from oxaliplatin. Our results suggest these SNPs are unlikely to be clinically useful biomarkers.

Identifiants

pubmed: 30649440
pii: 5289445
doi: 10.1093/jnci/djy215
pmc: PMC6695319
doi:

Substances chimiques

Biomarkers, Tumor 0
FPR1 protein, human 0
Receptors, Formyl Peptide 0
Receptors, Pattern Recognition 0
TLR3 protein, human 0
TLR4 protein, human 0
Toll-Like Receptor 3 0
Toll-Like Receptor 4 0
Oxaliplatin 04ZR38536J

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

828-836

Subventions

Organisme : Wellcome Trust
ID : 203141/Z/16/Z
Pays : United Kingdom
Organisme : Cancer Research UK
ID : C6716/A9894
Pays : United Kingdom
Organisme : Department of Health
ID : HTA/14/140/84
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/M016587/1
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 090532/Z/09/Z
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12023/25
Pays : United Kingdom
Organisme : Medical Research Council
ID : G0601705
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/P001106/1
Pays : United Kingdom
Organisme : Medical Research Council
ID : MC_UU_12023/20
Pays : United Kingdom
Organisme : Cancer Research UK
ID : 13941
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/L023784/2
Pays : United Kingdom
Organisme : Medical Research Council
ID : MR/L010305/1
Pays : United Kingdom

Commentaires et corrections

Type : CommentIn

Informations de copyright

© The Author(s) 2019. Published by Oxford University Press.

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Auteurs

Victoria Gray (V)

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Sarah Briggs (S)

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Claire Palles (C)

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Emma Jaeger (E)

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Timothy Iveson (T)

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Rachel Kerr (R)

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Mark P Saunders (MP)

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James Paul (J)

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Andrea Harkin (A)

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John McQueen (J)

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Matthew G Summers (MG)

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Elaine Johnstone (E)

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Haitao Wang (H)

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Laura Gatcombe (L)

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Timothy S Maughan (TS)

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Richard Kaplan (R)

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Valentina Escott-Price (V)

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Nada A Al-Tassan (NA)

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Brian F Meyer (BF)

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Salma M Wakil (SM)

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Richard S Houlston (RS)

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Jeremy P Cheadle (JP)

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Ian Tomlinson (I)

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David N Church (DN)

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