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Erschienen in: Tumor Biology 1/2016

14.11.2015 | Review

GSTT1 and GSTM1 polymorphisms predict treatment outcome for breast cancer: a systematic review and meta-analysis

verfasst von: Xue-Ying Hu, Xiang-Yang Huang, Jie Ma, Yang Zuo, Ning-bin Luo, Shao-Lv Lai, Dan-Ke Su

Erschienen in: Tumor Biology | Ausgabe 1/2016

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Abstract

Observational studies have reported controversial results on the association between GSTT1 and GSTM1 genotypes and treatment outcome of breast cancer. The purpose of this study is to evaluate the association between GSTT1 and GSTM1 and treatment outcome in breast cancer patients. Eligible studies were searched in PubMed, EMBASE, Cochrane Library, and China National Knowledge Infrastructure databases. A random-effect model or fixed-effect model was used to calculate the overall combined risk estimates. Twenty-one studies with a total of 4990 patients were included in this meta-analysis. The GSTM1 null genotype (odds ratio (OR) = 1.33, 95 % confidence interval (CI) 1.01–1.75, P = 0.046) and GSTT1/GSTM1 double null genotype (OR = 2.22, 95 % CI 1.02–4.84, P = 0.045) were significantly associated with an increased tumor response. A reduced overall survival (hazard ratio (HR) = 0.84, 95 % CI 0.72–0.98, P = 0.024) was observed in GSTM1 null genotype, especially in mixed descent (HR = 0.77, 95 % CI 0.61–0.96, P = 0.018) and large sample size (HR = 0.85, 95 % CI 0.72–0.99, P = 0.033). Evidence of publication bias was observed in GSTM1 genotype rather than in GSTT1 genotype. This meta-analysis suggests that GSTM1 null and GSTT1/GSTM1 double null polymorphisms might be significantly associated with an increased tumor response. However, the GSTM1 null genotype might be significantly associated with a reduced overall survival. Future studies are warranted to confirm these findings.
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Metadaten
Titel
GSTT1 and GSTM1 polymorphisms predict treatment outcome for breast cancer: a systematic review and meta-analysis
verfasst von
Xue-Ying Hu
Xiang-Yang Huang
Jie Ma
Yang Zuo
Ning-bin Luo
Shao-Lv Lai
Dan-Ke Su
Publikationsdatum
14.11.2015
Verlag
Springer Netherlands
Erschienen in
Tumor Biology / Ausgabe 1/2016
Print ISSN: 1010-4283
Elektronische ISSN: 1423-0380
DOI
https://doi.org/10.1007/s13277-015-4401-3

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