Journal article
Pattern recognition receptor polymorphisms as predictors of oxaliplatin benefit in colorectal cancer
- Abstract:
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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 SCOT and COIN/COIN-B trials. Participant status for LOF variants in FPR1 (rs867228), TLR3... Expand abstract
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Version of record, pdf, 1.4MB)
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- Publisher copy:
- 10.1093/jnci/djy215
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Authors
Funding
+ Medical Research Council
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Funding agency for:
Briggs, S
Grant:
Clinical Research Training Fellowship
+ Health Foundation
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Funding agency for:
Church, D
Grant:
Academy of Medical Sciences Clinician Scientist Fellowship
+ National Institute for Health Research
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Grant:
Oxford NIHR Comprehensive Biomedical Research Centre
+ European Union
More from this funder
Grant:
Seventh Framework Programme (FP7/207- 2013) grant 258236
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Bibliographic Details
- Publisher:
- Oxford University Press Publisher's website
- Journal:
- JNCI: Journal of the National Cancer Institute Journal website
- Volume:
- 111
- Issue:
- 8
- Pages:
- 828–836
- Publication date:
- 2019-01-14
- Acceptance date:
- 2018-10-05
- DOI:
- EISSN:
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1460-2105
- ISSN:
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0027-8874
Item Description
- Subjects:
- Pubs id:
-
pubs:924654
- UUID:
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uuid:4ce045f1-d517-429c-97d6-69c5004eff09
- Local pid:
- pubs:924654
- Deposit date:
- 2018-10-08
Terms of use
- Copyright holder:
- Gray et al
- Copyright date:
- 2019
- Notes:
- © The Author, 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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