The Clinical Importance of IL-6, IL-8, and TNF-α in Patients with Ovarian Carcinoma and Benign Cystic Lesions
Autor: | Aneta Cymbaluk-Płoska, Mateusz Kozłowski, Weronika Pawlik, Ewa Kwiatkowska, Jakub Pawlik, Sebastian Kwiatkowski, Bogusław Machaliński, Karolina Łuczkowska |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
medicine.medical_specialty
Medicine (General) Clinical Biochemistry Ovary predicting factor Gastroenterology Article Pathogenesis R5-920 Ovarian carcinoma Internal medicine medicine Interleukin 8 Interleukin 6 benign cystic lesions tumor necrosis factor alpha biology business.industry interleukin-6 interleukin-8 medicine.disease medicine.anatomical_structure ovarian cancer diagnostic markers Mann–Whitney U test biology.protein Tumor necrosis factor alpha Ovarian cancer business |
Zdroj: | Diagnostics, Vol 11, Iss 1625, p 1625 (2021) Diagnostics Volume 11 Issue 9 |
ISSN: | 2075-4418 |
Popis: | The exact pathogenesis and influence of various cytokines in patients with ovarian lesions remains unclear. Hence, this study aimed to investigate whether IL-6, IL-8, and TNF-α could be considered as new useful markers for diagnosis of ovarian cancer. 63 women diagnosed with ovarian cancer (OC) and 53 patients with benign ovarian cystic (BOC) lesions were included in this study. Serum levels of IL-6, IL-8, and TNF-α were measured using ELISA. Statistical comparisons were made using the Mann–Whitney U test and all correlations were evaluated by Spearman’s ranks. The serum IL-8 and TNF-α concentration measured in the OC Group was significantly higher than in the BOC Group (p < 0.05). The cutoff level of IL-8 and TNF-α in the serum was set at 4.09 ng/mL and 2.63 ng/mL, respectively, with the sensitivity and specificity of 70% and 96% for IL-8 and 85.7% and 79.3% for TNF-α (p < 0.0001). These results suggest that IL-8 and TNF-α are useful biomarkers for predicting the malignant character of lesions of the ovary. The present study highlighted the importance of measuring the cytokines such as IL-8 and TNF-α in patients with ovarian lesions in predicting the clinical outcome. |
Databáze: | OpenAIRE |
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