PREDICTIVE POWER OF OXIDATIVE STRESS BIOMARKERS IN RECURRENCE AND SURVIVAL IN ADVANCED CERVICAL CANCER

Exp Oncol. 2023 Oct 11;45(2):231-241. doi: 10.15407/exp-oncology.2023.02.231.

Abstract

The aim of our study was to measure the levels of 8-hydroxy-2-deoxyguanosine, malondialdehyde, and antioxidant enzymes in patients with locally advanced cervical cancer prior to treatment to determine how these evaluated biomarkers are associated with cervical cancer recurrence and to estimate their potential in further research and clinical use.

Materials and methods: The study included 45 female patients with newly diagnosed advanced cervical cancer who underwent concomitant chemoradiotherapy. The blood and urine samples were collected prior to treatment, between December 2013 and April 2016, and subsequent laboratory analysis was performed. After the medium follow-up of 29 months, the patients were divided into 3 groups according to the time of disease recurrence. A statistical analysis was performed in order to evaluate the relationship between the previously measured biomarkers and recurrence.

Results: Taken individually, the parameters of oxidative stress did not reveal significant differences between the three groups in our study. Nevertheless, the catalase and glutathione S-transferase activities were the best predictors of the recurrence. Based on the activities of these two oxidative enzymes, it was possible to separate the group of patients without recurrence after follow-up from the other two groups of patients with recurrent disease.

Conclusions: The parameters of oxidative stress have a certain predictive value on the outcome of patients with advanced cervical cancer after concomitant chemo-radiotherapy.

Keywords: biomarkers; cervical cancer; cancer recurrence; oxidative stress; antioxidative enzymes; 8-hydroxy-2-deoxyguanosine.

MeSH terms

  • Biomarkers
  • Chemoradiotherapy
  • Female
  • Humans
  • Neoplasm Recurrence, Local / drug therapy
  • Oxidative Stress
  • Uterine Cervical Neoplasms* / therapy

Substances

  • Biomarkers