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Collection, Isolation, and Flow Cytometric Analysis of Human Endocervical Samples
Published on: July 6, 2014
The Lymphocyte-to-Monocyte Ratio (LMR) as a Novel Biomarker for Cervical Cancer Risk Stratification in Conization
Verita Szabó1, Szabolcs Várbíró2,3, Noémi Kalas1
1Department of Obstetrics and Gynecology, Semmelweis University, 1082 Budapest, Hungary.
Abstract:
Background: Cervical cancer remains a major global health burden, particularly in regions with limited early detection. The Loop Electrosurgical Excision Procedure (LEEP) is commonly used to diagnose and treat cervical intraepithelial neoplasia (CIN). The lymphocyte-to-monocyte ratio (LMR) is a potential biomarker for cancer risk stratification. It reflects immune function and tumor-related inflammation. Lower LMR values suggest reduced antitumor immunity and increased tumor-promoting inflammation, which are linked to cancer development and progression. This study examines relationships between preoperative LMR and histopathological outcomes after LEEP. Methods: This retrospective study included 374 patients undergoing the LEEP for cervical dysplasia. Preoperative LMR values were compared across four histopathological categories: negative, low-grade, high-grade lesions, and invasive carcinoma. The Kruskal-Wallis test assessed group differences, with Mann-Whitney U tests for pairwise comparisons. ROC curve analysis (n = 369) evaluated LMR's diagnostic performance, and logistic regression evaluated its independent predictive value. Results: LMR significantly differed across cytological (p = 0.04) and histological groups (p = 0.036). Post hoc analysis revealed significantly lower LMR in invasive carcinoma versus low-grade lesions in cytology and for both low- and high-grade lesions in histology. ROC analysis yielded an AUC of 0.680. An LMR cutoff <4.49 showed 82.6% sensitivity and 50.0% specificity. Stricter cutoff (<3.89) increased specificity (66.8%) but decreased sensitivity (60.9%). Both had high negative predictive values (97.7% and 96.2%) but low positive predictive values (9.9% and 10.9%). Conclusions: LMR may serve as a complementary biomarker to predict higher-grade cervical lesions and help rule out invasive disease, aiding patient triage in resource-limited settings.
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