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Variability of DNA Repair and Oxidative Stress Genes Associated with Worst Pain in Breast Cancer Survivors on Aromatase Inhibitors.
Wagner, Monica A; Koleck, Theresa A; Conway, Alex; Bender, Catherine M; Conley, Yvette P.
Afiliación
  • Wagner MA; Frances Payne Bolton School of Nursing, Case Western Reserve University, Cleveland, OH 44106, USA.
  • Koleck TA; School of Nursing, University of Pittsburgh, Pittsburgh, PA 15260, USA.
  • Conway A; School of Nursing, University of Pittsburgh, Pittsburgh, PA 15260, USA.
  • Bender CM; School of Nursing, University of Pittsburgh, Pittsburgh, PA 15260, USA.
  • Conley YP; School of Nursing, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Genes (Basel) ; 14(11)2023 Oct 31.
Article en En | MEDLINE | ID: mdl-38002974
ABSTRACT
Pain is a problem affecting women with breast cancer (HR+BrCa) receiving aromatase inhibitor (AI) therapy. We investigated the relationship between single-nucleotide polymorphisms (SNPs) in DNA repair and oxidative stress genes and perceived worst pain after 6 months of AI therapy. We explored 39 SNPs in genes involved in DNA repair (ERCC2, ERCC3, ERCC5, and PARP1) and oxidative stress (CAT, GPX1, SEPP1, SOD1, and SOD2) in women with HR+BrCa receiving adjuvant therapy (AI ± chemotherapy; n = 138). Pain was assessed via the Brief Pain Inventory. Hurdle regression was used to evaluate the relationship between each associated allele and (1) the probability of pain and (2) the severity of worst pain. ERCC2rs50872 and ERCC5rs11069498 were associated with the probability of pain and had a significant genetic risk score (GRS) model (p = 0.003). ERCC2rs50872, ERCC5rs11069498, ERCC5rs4771436, ERCC5rs4150360, PARP1rs3219058, and SEPP1rs230819 were associated with the severity of worst pain, with a significant GRS model (conditional mean estimate = 0.45; 95% CI = 0.29, 0.60; p < 0.001). These results suggest DNA repair and oxidative stress pathways may play a role in the probability of pain and the severity of worst pain. As healthcare delivery moves towards the model of precision healthcare, nurses may, in the future, be able to use these results to tailor patient care based on GRS.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Supervivientes de Cáncer Límite: Female / Humans Idioma: En Revista: Genes (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Supervivientes de Cáncer Límite: Female / Humans Idioma: En Revista: Genes (Basel) Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
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