Tumor Biology

, Volume 37, Issue 1, pp 151–162 | Cite as

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

  • Xue-Ying Hu
  • Xiang-Yang Huang
  • Jie Ma
  • Yang Zuo
  • Ning-bin Luo
  • Shao-Lv Lai
  • Dan-Ke Su


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.


GSTT1 GSTM1 Breast cancer Treatment outcome Meta-analysis 



We thank all the people who provided technical support and useful discussion of the article.

Authors’ contributions

XYH and JM conceived the study, participated in the design, collected the data, and drafted the manuscript. XYH collected the data and performed statistical analyses. YZ and NBL helped collect the data. SLL and DKS conceived the study, participated in the design, and helped draft the manuscript. All authors read and approved the final manuscript.

Compliance with ethical standards

Financial disclosure

The study was supported by grants from the Guangxi Science and Technology Development Program (Gui Ke Gong14124004-1-11) and Guangxi Self-financing Scientific Research Subject (Z2013418). The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Conflicts of interest



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Copyright information

© International Society of Oncology and BioMarkers (ISOBM) 2015

Authors and Affiliations

  • Xue-Ying Hu
    • 1
  • Xiang-Yang Huang
    • 1
  • Jie Ma
    • 1
  • Yang Zuo
    • 1
  • Ning-bin Luo
    • 1
  • Shao-Lv Lai
    • 1
  • Dan-Ke Su
    • 1
  1. 1.Department of RadiologyAffiliated Oncology Hospital of Guangxi Medical UniversityNanningPeople’s Republic of China

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