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dc.contributor.authorPorras-Quesada, Patricia
dc.contributor.authorChica-Redecillas, Lucía
dc.contributor.authorÁlvarez-González, Beatriz
dc.contributor.authorGutiérrez-Tejero, Francisco
dc.contributor.authorArrabal-Martín, Miguel
dc.contributor.authorRíos-Pelegrina, Rosa
dc.contributor.authorMartínez-González, Luis Javier 
dc.contributor.authorÁlvarez-Cubero, Maria Jesus
dc.contributor.authorVázquez-Alonso, Fernando
dc.date.accessioned2025-09-19T08:11:32Z
dc.date.available2025-09-19T08:11:32Z
dc.date.issued2025-08-01
dc.identifier.citationPorras-Quesada, P.; ChicaRedecillas, L.; Álvarez- González, B.; Gutiérrez-Tejero, F.; Arrabal-Martín, M.; Rios-Pelegrina, R.; MartínezGonzález, L.J.; Álvarez-Cubero, M.J.; Vázquez-Alonso, F. GSTM5 as a Potential Biomarker for Treatment Resistance in Prostate Cancer. Biomedicines 2025, 13, 1872. https://doi.org/10.3390/ biomedicines13081872es_ES
dc.identifier.urihttps://hdl.handle.net/10481/106460
dc.description.abstractBackground/Objectives: Androgen deprivation therapy (ADT) is widely used to manage prostate cancer (PC), but the emergence of treatment resistance remains a major clinical challenge. Although the GST family has been implicated in drug resistance, the specific role of GSTM5 remains poorly understood. This study investigates whether GSTM5, alone or in combination with clinical variables, can improve patient stratification based on the risk of early treatment resistance. Methods: In silico analyses were performed to examine GSTM5’s role in protein interactions, molecular pathways, and gene expression. The rs3768490 polymorphism was genotyped in 354 patients with PC, classified by ADT response. Descriptive analysis and logistic regression models were applied to evaluate associations between genotype, clinical variables, and ADT response. GSTM5 expression related to the rs3768490 genotype and ADT response was also analyzed in 129 prostate tissue samples. Results: The T/T genotype of rs3768490 was significantly associated with a lower likelihood of early ADT resistance in both individual (p = 0.0359, Odd Ratios (OR) = 0.18) and recessive models (p = 0.0491, OR = 0.21). High-risk classification according to D’Amico was strongly associated with early progression (p < 0.0004; OR > 5.4). Combining genotype and clinical risk improved predictive performance, highlighting their complementary value in stratifying patients by treatment response. Additionally, GSTM5 expression was slightly higher in T/T carriers, suggesting a potential protective role against ADT resistance. Conclusions: The T/T genotype of rs3768490 may protect against ADT resistance by modulating GSTM5 expression in PC. These preliminary findings highlight the potential of integrating genetic biomarkers into clinical models for personalized treatment strategies, although further studies are needed to validate these observations.es_ES
dc.description.sponsorshipMinistry of Science and Innovation (grant number PRED2020-094013)es_ES
dc.description.sponsorshipMinistry of Education (grant number FPU21/05808; FPU20/06611)es_ES
dc.description.sponsorshipProyectos en Salud FIBAO - Junta de Andalucía (PIP-0043-2022)es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectcastration-resistant prostate canceres_ES
dc.subjectGSTM5es_ES
dc.subjectbiomarkeres_ES
dc.titleGSTM5 as a Potential Biomarker for Treatment Resistance in Prostate Canceres_ES
dc.typejournal articlees_ES
dc.rights.accessRightsopen accesses_ES
dc.identifier.doi10.3390/ biomedicines13081872
dc.type.hasVersionVoRes_ES


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