Department of Endocrine Surgery, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Raebareli Road, Lucknow, 226014, India.
Surg Today. 2011 Apr;41(4):471-6. doi: 10.1007/s00595-009-4310-4. Epub 2011 Mar 23.
Response to neoadjuvant chemotherapy (NACT) for breast cancer patients cannot be predicted; however, polymorphism of the glutathione S-transferase genes GSTM1 and GSTT1 can modify the response to chemotherapy. The aim of this study was to establish whether there is an association between the polymorphism of GSTM1 and GSTT1 and response to NACT.
The subjects of this study were 45 patients with locally advanced breast cancer (LABC), who received the cyclophosphamide, adriamycin, and 5-fluorouracil (CAF) regimen as NACT. We analyzed the relationship between the genotypes and responses to chemotherapy.
The response rates to chemotherapy were better, although not significantly so, in patients with the GSTM1 and GSTT1 null genotypes (odds ratio [OR] 2.06 and 1.45). Similar findings were noted in patients with either or both of the null genotypes (OR 2.67 and 1.16). Among the responders, patients with the GSTM1 and GSTT1 null genotypes had higher rates of complete response following chemotherapy than those with one or more active allele (OR 1.8 and 1.3), although the difference was not significant.
There was an association between the polymorphism of glutathione S-transferases and responses to chemotherapy, but the differences were not significant. However, larger studies are needed to investigate the role and efficiency of GST polymorphism in predicting response to chemotherapy.
不能预测乳腺癌患者新辅助化疗(NACT)的反应;然而,谷胱甘肽 S-转移酶基因 GSTM1 和 GSTT1 的多态性可以改变化疗的反应。本研究的目的是确定 GSTM1 和 GSTT1 的多态性与 NACT 反应之间是否存在关联。
本研究的对象是 45 例接受环磷酰胺、阿霉素和 5-氟尿嘧啶(CAF)方案作为 NACT 的局部晚期乳腺癌(LABC)患者。我们分析了基因型与化疗反应之间的关系。
尽管不显著,但具有 GSTM1 和 GSTT1 缺失基因型的患者的化疗反应率更好(比值比[OR]为 2.06 和 1.45)。在具有任意或两种缺失基因型的患者中也观察到类似的发现(OR 为 2.67 和 1.16)。在应答者中,与具有一个或多个活性等位基因的患者相比,具有 GSTM1 和 GSTT1 缺失基因型的患者在化疗后完全缓解的比例更高(OR 为 1.8 和 1.3),尽管差异无统计学意义。
谷胱甘肽 S-转移酶的多态性与化疗反应之间存在关联,但差异无统计学意义。然而,需要更大的研究来探讨 GST 多态性在预测化疗反应中的作用和效率。