Literature DB >> 23506516

A systematic review and meta-analysis of the role of ABCC2 variants on drug response in patients with epilepsy.

Sandeep Grover1, Ritushree Kukreti.   

Abstract

PURPOSE: Increasing evidence suggests that genetic variants from ABCC2 transporter may be associated with an altered response to antiepileptic drugs (AEDs). However, the variability in the selective inclusion of genetic variants in different studies makes delineation of the causal variant/s difficult. Furthermore, the differences in the frequency distribution and linkage disequilibrium (LD) pattern among genetic variants in different populations add to the heterogeneity in the reported results. The aim of this study is to carry out a systematic assessment of the published studies by performing meta-analysis of the commonly reported genetic variants from ABCC2 with drug response in patients with epilepsy (PWE).
METHODS: A literature search of the electronic databases namely Embase, Medline, Web of Science, and Cochrane database of systematic reviews available to the September 8, 2012 was performed. Pooled crude odds ratios (ORs) and 95% confidence intervals (CI) were calculated using both fixed-effect and random-effect models. KEY
FINDINGS: A total of eight reports were identified as eligible studies, which included 1,294 good responders and 1,529 poor responders. Of all the commonly reported variants that included c.-24C>T or rs717620, c.1249G>A or rs2273697 (V417I) and c.3972C>T or rs3740066 (I1324I), we observed an overall significant association of high activity promoter variant c.-24C>T with drug response (TT + CT vs. CC: OR(dom) = 1.38 (1.11-1.71), p(dom) = 0.004, I(2) = 3%; CT vs. CC: OR(co-dom) = 1.28 (1.02-1.61), p(co-dom) = 0.03, I(2) = 0%; T vs. C: OR(all) = 1.34 (1.11-1.61), p(all) = 0.002, I(2) = 35%). However, all the associations were lost after testing for multiple corrections. Tests for publication bias did not reveal any significant influence on the observed results. SIGNIFICANCE: In summary, the results of our meta-analysis indirectly suggests possible role of the ABCC2 transporter at the blood brain barrier in altered drug response in PWE. Further studies are warranted in different ethnic groups to investigate the effects of the ABCC2 haplotypic variants and perform stratified analysis on the basis of different phenotypic covariates. Wiley Periodicals, Inc.
© 2013 International League Against Epilepsy.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23506516     DOI: 10.1111/epi.12132

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  8 in total

1.  Influence of single-nucleotide polymorphisms on deferasirox C trough levels and effectiveness.

Authors:  J Cusato; S Allegra; D Massano; S De Francia; A Piga; A D'Avolio
Journal:  Pharmacogenomics J       Date:  2014-10-28       Impact factor: 3.550

2.  A Prediction Algorithm for Drug Response in Patients with Mesial Temporal Lobe Epilepsy Based on Clinical and Genetic Information.

Authors:  Mariana S Silva-Alves; Rodrigo Secolin; Benilton S Carvalho; Clarissa L Yasuda; Elizabeth Bilevicius; Marina K M Alvim; Renato O Santos; Claudia V Maurer-Morelli; Fernando Cendes; Iscia Lopes-Cendes
Journal:  PLoS One       Date:  2017-01-04       Impact factor: 3.240

3.  ABCC2-24C > T polymorphism is associated with the response to platinum/5-Fu-based neoadjuvant chemotherapy and better clinical outcomes in advanced gastric cancer patients.

Authors:  Ziyu Li; Xiaofang Xing; Fei Shan; Shuangxi Li; Zhongwu Li; Aitang Xiao; Zhaodong Xing; Kan Xue; Zhemin Li; Ying Hu; Yongning Jia; Rulin Miao; Lianhai Zhang; Zhaode Bu; Aiwen Wu; Jiafu Ji
Journal:  Oncotarget       Date:  2016-08-23

4.  Effects of MTHFR and ABCC2 gene polymorphisms on antiepileptic drug responsiveness in Jordanian epileptic patients.

Authors:  Laith N Al-Eitan; Islam M Al-Dalalah; Mohamed M Mustafa; Mansour A Alghamdi; Afrah K Elshammari; Wael H Khreisat; Hanan A Aljamal
Journal:  Pharmgenomics Pers Med       Date:  2019-06-10

5.  Towards realizing the vision of precision medicine: AI based prediction of clinical drug response.

Authors:  Johann de Jong; Ioana Cutcutache; Matthew Page; Sami Elmoufti; Cynthia Dilley; Holger Fröhlich; Martin Armstrong
Journal:  Brain       Date:  2021-07-28       Impact factor: 13.501

6.  Systematic Review and Meta-Analysis of Renin-Angiotensin-Aldosterone System Blocker Effects on the Development of Cardiovascular Disease in Patients With Chronic Kidney Disease.

Authors:  Katsunori Yanai; Kenichi Ishibashi; Yoshiyuki Morishita
Journal:  Front Pharmacol       Date:  2021-07-02       Impact factor: 5.810

Review 7.  Drug-Resistant Epilepsy: Multiple Hypotheses, Few Answers.

Authors:  Fei Tang; Anika M S Hartz; Björn Bauer
Journal:  Front Neurol       Date:  2017-07-06       Impact factor: 4.003

8.  Increased ABCC2 expression predicts cisplatin resistance in non-small cell lung cancer.

Authors:  Yun Chen; Hongying Zhou; Sifu Yang; Dan Su
Journal:  Cell Biochem Funct       Date:  2020-08-20       Impact factor: 3.685

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.