Clinical significance of neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio and systemic immunoinflammatory index in pelvic lymph node metastasis of cervical cancer
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We aimed to investigate the clinical significance of the neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immunoinflammatory index (SII) in patients with pelvic lymph node metastasis in cervical cancer (CC). We retrospectively analyzed the clinical data of 180 and 164 patients with CC and cervical intraepithelial neoplasia (CIN), respectively, between June 2020 and December 2022. The NLR, PLR, and SII were calculated based on routine blood test results to compare the differences between the two groups. Patients with CC were divided into a metastatic group (38 cases) and a non-metastatic group (142 cases) according to pelvic lymph node metastasis, and clinical indicators were compared. Spearman analysis was used to investigate the correlation between NLR, PLR, and SII and pelvic lymph node metastasis. Receiver operating characteristic (ROC) curves were used to evaluate the diagnostic efficacy of each indicator, and a chi-square test was performed to analyze the relevant factors. The NLR, PLR, and SII were significantly higher in patients with CC than in CIN (P < 0.05). In the CC group, these three factors showed significant differences in the metastatic and non-metastatic groups, despite the presence of vascular cancer thrombus (P < 0.05). The NLR, PLR, and SII were positively correlated with pelvic lymph node metastasis in CC (P < 0.05). The areas under the curve (AUC) of NLR, PLR, and SII in predicting pelvic lymph node metastasis in CC were 0.775, 0.775, and 0.849, respectively. The NLR ≥ 2.115, PLR ≥ 169.81, SII ≥ 887.845, tumor diameter ≥ 4 cm, cervical interstitial infiltration ≥ 1/2, vessel positive, and low degree of differentiation were significantly correlated with pelvic lymph node metastasis of CC (P < 0.05). The NLR, PLR, and SII are closely related to pelvic lymph node metastasis in CC and can be used as predictors.
