Literature DB >> 26804235

Rs895819 in MIR27A improves the predictive value of DPYD variants to identify patients at risk of severe fluoropyrimidine-associated toxicity.

Didier Meulendijks1,2, Linda M Henricks1,2, Ursula Amstutz3, Tanja K Froehlich3, Carlo R Largiadèr3, Jos H Beijnen1,4,5, Anthonius de Boer5, Maarten J Deenen1,2, Annemieke Cats6, Jan H M Schellens1,2,5.   

Abstract

The objective of this study was to determine whether genotyping of MIR27A polymorphisms rs895819A>G and rs11671784C>T can be used to improve the predictive value of DPYD variants to identify patients at risk of severe fluoropyrimidine-associated toxicity (FP-toxicity). Patients treated previously in a prospective study with fluoropyrimidine-based chemotherapy were genotyped for rs895819 and rs11671784, and DPYD c.2846A>T, c.1679T>G, c.1129-5923C>G and c.1601G>A. The predictive value of MIR27A variants for early-onset grade ≥3 FP-toxicity, alone or in combination with DPYD variants, was tested in multivariable logistic regression models. Random-effects meta-analysis was performed, including previously published data. A total of 1,592 patients were included. Allele frequencies of rs895819 and rs11671784 were 0.331 and 0.020, respectively. In DPYD wild-type patients, MIR27A variants did not affect risk of FP-toxicity (OR 1.3 for ≥1 variant MIR27A allele vs. none, 95% CI: 0.87-1.82, p = 0.228). In contrast, in patients carrying DPYD variants, the presence of ≥1 rs895819 variant allele was associated with increased risk of FP-toxicity (OR 4.9, 95% CI: 1.24-19.7, p = 0.023). Rs11671784 was not associated with FP-toxicity (OR 2.9, 95% CI: 0.47-18.0, p = 0.253). Patients carrying a DPYD variant and rs895819 were at increased risk of FP-toxicity compared to patients wild type for rs895819 and DPYD (OR 2.4, 95% CI: 1.27-4.37, p = 0.007), while patients with a DPYD variant but without a MIR27A variant were not (OR 0.3 95% CI: 0.06-1.17, p = 0.081). In meta-analysis, rs895819 remained significantly associated with FP-toxicity in DPYD variant allele carriers, OR 5.4 (95% CI: 1.83-15.7, p = 0.002). This study demonstrates the clinical validity of combined MIR27A/DPYD screening to identify patients at risk of severe FP-toxicity.
© 2016 UICC.

Entities:  

Keywords:  5-fluorouracil; capecitabine; dihydropyrimidine dehydrogenase; miR-27a; microRNA; toxicity

Mesh:

Substances:

Year:  2016        PMID: 26804235     DOI: 10.1002/ijc.30014

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  7 in total

1.  Quantitative Contribution of rs75017182 to Dihydropyrimidine Dehydrogenase mRNA Splicing and Enzyme Activity.

Authors:  Q Nie; S Shrestha; E E Tapper; C S Trogstad-Isaacson; K J Bouchonville; A M Lee; R Wu; C R Jerde; Z Wang; P A Kubica; S M Offer; R B Diasio
Journal:  Clin Pharmacol Ther       Date:  2017-05-26       Impact factor: 6.875

2.  Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for Dihydropyrimidine Dehydrogenase Genotype and Fluoropyrimidine Dosing: 2017 Update.

Authors:  Ursula Amstutz; Linda M Henricks; Steven M Offer; Julia Barbarino; Jan H M Schellens; Jesse J Swen; Teri E Klein; Howard L McLeod; Kelly E Caudle; Robert B Diasio; Matthias Schwab
Journal:  Clin Pharmacol Ther       Date:  2017-11-20       Impact factor: 6.875

3.  Pretreatment serum uracil concentration as a predictor of severe and fatal fluoropyrimidine-associated toxicity.

Authors:  Didier Meulendijks; Linda M Henricks; Bart A W Jacobs; Abidin Aliev; Maarten J Deenen; Niels de Vries; Hilde Rosing; Erik van Werkhoven; Anthonius de Boer; Jos H Beijnen; Caroline M P W Mandigers; Marcel Soesan; Annemieke Cats; Jan H M Schellens
Journal:  Br J Cancer       Date:  2017-04-20       Impact factor: 7.640

4.  Distinct effects of rs895819 on risk of different cancers: an update meta-analysis.

Authors:  Muxiong Chen; Wenpan Fang; Xinkai Wu; Suchen Bian; Guangdi Chen; Liqin Lu; Yu Weng
Journal:  Oncotarget       Date:  2017-04-27

5.  The SNPs in pre-miRNA are related to the response of capecitabine-based therapy in advanced colon cancer patients.

Authors:  Yong Mao; Chengda Zou; Fanyi Meng; Jiehong Kong; Weipeng Wang; Dong Hua
Journal:  Oncotarget       Date:  2017-12-11

Review 6.  The Road so Far in Colorectal Cancer Pharmacogenomics: Are We Closer to Individualised Treatment?

Authors:  Ana Rita Simões; Ceres Fernández-Rozadilla; Olalla Maroñas; Ángel Carracedo
Journal:  J Pers Med       Date:  2020-11-19

7.  An Evaluation of the Diagnostic Accuracy of a Panel of Variants in DPYD and a Single Variant in ENOSF1 for Predicting Common Capecitabine Related Toxicities.

Authors:  Claire Palles; Susan Fotheringham; Laura Chegwidden; Marie Lucas; Rachel Kerr; Guy Mozolowski; Dan Rosmarin; Jenny C Taylor; Ian Tomlinson; David Kerr
Journal:  Cancers (Basel)       Date:  2021-03-24       Impact factor: 6.639

  7 in total

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