Glutathione S-transferases deletions may act as prognosis and therapeutic markers in breast cancer.

Breast cancer (BC) is the main worldwide neoplasia in women. The metabolic balance between xenobiotic absorption and elimination rates plays an important role in preventing DNA damage and, consequently, tumor development. The glutathione S-transferases (GSTs), such as GSTM1 and GSTT1, and the NAD(P)H quinone oxidoreductase are important enzymes involved in phase II detoxification reactions. Deletions in GSTM1 and GSTT1, and single-nucleotide polymorphism (SNP) in NQO1 (rs1800655) have been investigated in cancer context, revealing conflicting results. The present study analyzed these genetic polymorphisms in 121 BC patients and 151 BC-free controls in order to verify if they could act as susceptibility modifiers and/or prognostic factors. Binary logistic regressions adjusted by age were performed to assess associations between allelic variants and interactions in polymorphisms combination with BC susceptibility, but no significant association was found. Genotypes distribution was also compared between BC subtypes, but no significant difference was observed (p > 0.05). GSTM1 deletion was significantly associated with histopathological grade, with a greater proportion of patients presenting grade III tumors (p = 0.007). Univariate analysis identified tumor size as the only clinicopathological parameter potentially associated with recurrence risk in patients that received adjuvant chemotherapy (p < 0.1). Thus, logistic regression analysis adjusted by tumor size revealed a positive association between GSTT1 deletion and recurrence risk in general BC (OR 4.25; p = 0.04), while GSTM1 was negatively associated with recurrence risk in ER/PR+HER2- samples (OR 0.07; p = 0.03). In conclusion, the present study indicated that GSTT1 deletion was associated with increased recurrence risk, while GSTM1 correlated with worst prognosis parameters at diagnosis, but was negatively associated with recurrence risk in luminal subtype samples.