Locally advanced cervical cancer (LACC) is treated with concurrent chemoradiation (CRT). Predictive models could improve the outcome through treatment personalization. Several factors influence prognosis in LACC, but the role of systemic inflammation indices (IIs) is unclear. This study aims to assess the correlation between IIs and prognosis in a large patient cohort considering several clinical data. We retrospectively analyzed pretreatment IIs (NLR, PLR, MLR, SII, LLR, COP-NLR, APRI, ALRI, SIRI, and ANRI) in 173 LACC patients. Patient, tumor, and treatment characteristics were also considered. Univariate and multivariate Cox’s regressions were conducted to assess associations between IIs and clinical factors with local control (LC), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS). Univariate analysis showed significant correlations between age, HB levels, tumor stage, FIGO stage, and CRT dose with survival outcomes. Specific pretreatment IIs (NLR, PLR, APRI, ANRI, and COP-NLR) demonstrated associations only with LC. The multivariate analysis confirmed Hb levels, CRT dose, and age as significant predictors of OS, while no II was correlated with any clinical outcome. The study findings contradict some prior research on IIs in LACC, emphasizing the need for comprehensive assessments of potential confounding variables.
局部晚期宫颈癌（LACC）的治疗主要采用同步放化疗（CRT）。预测模型可通过个体化治疗改善患者预后。多种因素影响LACC的预后，但全身性炎症指标（IIs）的作用尚不明确。本研究旨在结合多项临床数据，评估大型患者队列中IIs与预后的相关性。我们回顾性分析了173例LACC患者的治疗前IIs（包括NLR、PLR、MLR、SII、LLR、COP-NLR、APRI、ALRI、SIRI和ANRI），同时纳入患者、肿瘤及治疗特征。通过单变量和多变量Cox回归分析，评估IIs及临床因素与局部控制率（LC）、无远处转移生存期（DMFS）、无病生存期（DFS）和总生存期（OS）的关联性。单变量分析显示，年龄、血红蛋白水平、肿瘤分期、FIGO分期和CRT剂量与生存结局显著相关。部分治疗前IIs（NLR、PLR、APRI、ANRI和COP-NLR）仅与LC存在关联。多变量分析证实血红蛋白水平、CRT剂量和年龄是OS的显著预测因子，而所有IIs均与任何临床结局无相关性。本研究结果与先前部分关于LACC中IIs的研究相悖，强调了全面评估潜在混杂变量的必要性。
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