ArticleInternational journal of women's health2025
Systemic Inflammatory Biomarkers as a Predictive Markers for Ovarian Cancer.
Article in International journal of women's health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Preoperative Pan-Immune-Inflammation Value for the Differential Diagnosis and Prognostic Assessment of Ovarian Tumors: A Retrospective Cohort Study.Diagnostics (Basel, Switzerland) · 2026Article
- The Pretreatment Glucose-to-Lymphocyte Ratio as an Independent Prognostic Biomarker in Ovarian Cancer.Journal of clinical medicine · 2026Article
- An interpretable machine learning approach using nnU-Net-based radiomics for preoperative risk stratification of thymic epithelial tumors: a multicenter study.BMC medical imaging · 2026Article
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8 authors.
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Abstract
Objective: Tumor markers such as CA125 are highly beneficial in predictive ovarian malignancy; however, this advanced test is not always available in remote areas. To address this issue, the author aimed to explore the use of systemic inflammatory biomarkers as complementary modalities for diagnosis of ovarian malignancy. Methods: This diagnostic study utilized a cross-sectional approach, with outcomes measured by AUC and sensitivity. A total of 132 patients with adnexal tumors were consecutively included and measured a complete blood count. From this, the MLR (Monocyte Lymphocyte Ratio), NLR (Neutrophil Lymphocyte Ratio), PLR (Platelet Lymphocyte Ratio), SII (Systemic Immune Inflammation Index), and SIRI (Systemic Inflammatory Response Index) biomarkers were calculated. After surgery, histopathological examination was performed as the gold standard and the biomarker predictions were then compared to it, followed by statistical analysis. Results: The AUC values for MLR, NLR, PLR, SII, and SIRI were 0.70, 0.731, 0.696, 0.743, and 0.722, respectively. The p-values were MLR (0.005), NLR (0.001), PLR (0.001), SII (<0.001), and SIRI (<0.001), respectively. In multivariate analysis, only SII was significant (p = 0.015). The Exp(B) and 95% CI were 5.472 (1.383-21.655). The validity test for SII showed satisfactory results: sensitivity 71.64%, specificity 73.84%, PPV 73.84%, NPV 71.64%, accuracy 72.72%, LR+ 2.74%, and LR- 0.38%. Conclusion: Systemic inflammatory biomarkers, particularly SII may aid in the predictive markers of early ovarian with diagnostic values nearly as good as CA125 (sensitivity 71.64% vs 75.97%). These biomarkers can serve as complementary predictive markes modalities for ovarian malignancy, especially when advanced tumor marker tests like CA125 are not available in remote areas.
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