Glutathione S-transferase P1 (GSTP1) has gradually become a promising target for cancer prevention and treatment. However, subtle variations in GSTP1 can lead to the occurrence of single nucleotide polymorphisms (SNPs). The correlation between specific genotypes of GSTP1 and the clinical outcome of the disease has been extensively investigated, demonstrating a significant area of research in this field. However, their impact on the responses to GSTP1 inhibitor treatment remains to be elucidated. Among the various SNPs of GSTP1, I105V polymorphisms is the most widely studied. In this study, a silico model of GSTP1 I105V polymorphism was successfully established to predict the changes of binding model and binding affinity between GSTP1 I105(WT) or GSTP1 V105 and ethacrynic acid via molecular docking and molecular dynamics, and ultimately further evaluated for its anticancer effects. The result demonstrated that the binding capacity of ethacrynic acid decreases with the I105V mutation of GSTP1, indicating the changes in its anticancer activities. Cancer cells expressing GSTP1 V105 may exhibit greater tolerance to ethacrynic acid-induced toxicity compared to other genotypes. In summary, this study provides the first evidence that the GSTP1 I105V polymorphism may impact cancer cell sensitivity to its inhibitor through theoretical prediction. Furthermore, a comprehensive understanding of the correlation between GSTP1 I105V polymorphisms and responses to GSTP1 inhibitor treatment would offer valuable insights for future drug development targeting GSTP1 in cancer-related diseases. Communicated by Ramaswamy H. Sarma
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