ImpactU Versión 3.11.2 Última actualización: Interfaz de Usuario: 16/10/2025 Base de Datos: 29/08/2025 Hecho en Colombia
The Predictive Value of Preoperative Inflammatory Markers / Lymphocyte Ratios for Endometrial Cancer; What does the eosinophil to lymphocyte ratio means for survival?
Aim: In various solid tumors, cancer-associated inflammation is associated with adverse long-term outcomes. The purpose of this study was to examine the influence of the preoperative neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR) and other systemic inflammatory markers on lymph node metastasis and 5-year survival in endometrial cancer. Materials and Method: A total of 379 female patients at the Gynecology and Obstetrics Clinic of the University Hospital with a final postoperative pathology of endometrial cancer were included in the 5-year survival study. The preoperative total neutrophil, monocyte, eosinophil, and platelet counts were divided by the lymphocyte count to obtain the NLR, monocyte-to-lymphocyte ratio (MLR), eosinophil-to-lymphocyte ratio (ELR), and PLR values. All patients underwent bilateral pelvic paraaortic lymph node dissection and omentectomy in addition to total abdominal hysterectomy and bilateral salpingo-oophorectomy (TAH + BSO). The pathology lab at our university evaluated all cytology and postoperative specimens. The staging system used was the FIGO 2009 surgical staging system. Results: The results of our study showed significant correlations between lymph node metastasis and NLR, eosinophil-to-lymphocyte ratio (ELR), and PLR. Only a significant correlation between ELR and survival was discovered when the relationship with 5-year survival was examined. Aditionally significant correlations existed between NLR and cervical stromal involvement, cytology positivity, and stage. Conclusion: The prognostic factors for lymph node metastasis are NLR, PLR, and ELR. Only ELR is predictive of 5-year survival, but more prospective studies on ELR survival prediction are needed.
Tópico:
Inflammatory Biomarkers in Disease Prognosis
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FuenteJinekoloji-Obstetrik ve Neonatoloji Tıp Dergisi