Redox Biomarkers and Matrix Remodeling Molecules in Ovarian Cancer

Autor: Elżbieta Supruniuk, Marta Baczewska, Ewa Żebrowska, Mateusz Maciejczyk, Kamil Klaudiusz Lauko, Patrycja Dajnowicz-Brzezik, Patrycja Milewska, Paweł Knapp, Anna Zalewska, Adrian Chabowski
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Antioxidants, Vol 13, Iss 2, p 200 (2024)
Druh dokumentu: article
ISSN: 2076-3921
DOI: 10.3390/antiox13020200
Popis: Ovarian cancer (OC) has emerged as the leading cause of death due to gynecological malignancies among women. Oxidative stress and metalloproteinases (MMPs) have been shown to influence signaling pathways and afflict the progression of carcinogenesis. Therefore, the assessment of matrix-remodeling and oxidative stress intensity can determine the degree of cellular injury and often the severity of redox-mediated chemoresistance. The study group comprised 27 patients with serous OC of which 18% were classified as Federation of Gynecology and Obstetrics (FIGO) stages I/II, while the rest were diagnosed grades III/IV. The control group comprised of 15 ovarian tissue samples. The results were compared with genetic data from The Cancer Genome Atlas. Nitro-oxidative stress, inflammation and apoptosis biomarkers were measured colorimetrically/fluorometrically or via real-time PCR in the primary ovarian tumor and healthy tissue. Stratification of patients according to FIGO stages revealed that high-grade carcinoma exhibited substantial alterations in redox balance, including the accumulation of protein glycoxidation and lipid peroxidation products. TCGA data demonstrated only limited prognostic usefulness of the studied genes. In conclusion, high-grade serous OC is associated with enhanced tissue oxidative/nitrosative stress and macromolecule damage that could not be overridden by the simultaneously augmented measures of antioxidant defense. Therefore, it can be assumed that tumor cells acquire adaptive mechanisms that enable them to withstand the potential toxic effects of elevated reactive oxygen species.
Databáze: Directory of Open Access Journals