AI Article Synopsis

  • The study explores the connection between oxidative damage and prostate cancer (PC) development, focusing on specific genetic variations (SNPs) in antioxidant enzymes and proteins.* -
  • Researchers analyzed 235 PC patients and 240 controls using advanced genetic testing methods to assess the impact of these SNPs on cancer risk and prognosis.* -
  • Findings suggest that certain genetic polymorphisms may serve as biomarkers for predicting the risk of developing prostate cancer, although they did not influence overall survival during the follow-up period.*

Article Abstract

Mounting evidence implicates oxidative damage in prostate carcinogenesis, contributing to modifications of macromolecules that drive cellular malignant transformation. Functional single-nucleotide polymorphisms (SNPs) of enzymes involved in redox homeostasis can disrupt pro-oxidant-antioxidant balance, leading to accumulation of reactive oxygen species and oxidative damage. We investigated the potential role of genetic polymorphisms of antioxidant enzymes glutathione peroxidase 1 ( rs1050450) and superoxide dismutase 2 ( rs4880) and regulatory antioxidant protein nuclear factor erythroid 2-related factor 2 ( rs6721961) in the susceptibility to prostate cancer development (PC) and prognosis. We conducted a case-control study consisting of 235 patients with PC and 240 controls. Gene polymorphisms were determined by quantitative polymerase chain reaction (qPCR) and polymerase chain reaction with confronting two-pair primers (PCR-CTTP) methods. Multiple risk models were composed to inspect the separate and mutual effect of multiple genes and in combination with acquired contributory factors on the risk of PC development. Independently, carriers of at least one allele had increased risk of PC development, which was significantly further amplified in advanced statistical models. When tested in combination, individuals with both allele and genotype were also at increased risk of PC development, which was augmented when combined with acquired contributory factors. During the mean 75 ± 25 months of follow-up, investigated gene polymorphisms did not affect overall survival. Our results suggest that these gene polymorphisms could be used as risk biomarkers of PC evolution.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9611982PMC
http://dx.doi.org/10.3390/medicina58101414DOI Listing

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