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Preoperative SCC-Ag and thrombocytosis as predictive markers for pelvic lymphatic metastasis of squamous cervical cancer in early FIGO stage

机译:术前SCC-Ag和血小板增多是FIGO早期鳞状宫颈癌盆腔淋巴转移的预测指标

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Objectives: To explore the clinical significance of squamous cell carcinoma antigen (SCC-Ag) and thrombocytosis to predict pelvic lymphatic metastasis (PLM) of squamous cervical cancer (SCC) in International Federation of Gynecology and Obstetrics (FIGO) stages IA-IIA. Methods: A retrospective clinicopathologic review of 782 patients of a primary cohort in three Chinese hospitals from 2010 to 2015, and 407 patients of a validation cohort in another institution from 2015 to 2017. A receiver operating characteristic curve was used to determine the optimal SCC-Ag threshold to predict PLM in the groups. Univariate and multivariate logistic analyses for PLM were performed to assess differences in outcome. Results: In the primary and validation cohort, 15.6% (122/782) and 25.3% (103/407) patients were classified into the thrombocytosis group (platelet count >300 × 109/L), respectively. Optimal cutoff values of SCC-Ag for predicting PLM of the thrombocytosis group and the normal group were 3.26 ng/mL (AUC 0.754; sensitivity 73.08%; specificity 72.92%; P = 0.000) and 4.58 ng/mL (AUC 0.706; sensitivity 53.26%; specificity 83.98%; P = 0.000), respectively, in the primary cohort, and 1.55 ng/mL (AUC 0.705; sensitivity 79.31%; specificity 55.41%; P = 0.000) and 1.75 ng/mL (AUC 0.655; sensitivity 69.57%; specificity 64.26%; P = 0.000), respectively, in the validation cohort. In multivariate logistic analysis, preoperative SCC-Ag over 3.26 ng/mL and lymphovascular space involvement were the significant predictors of PLM for SCC in FIGO stages IA-IIA. Conclusions: Preoperative SCC-Ag alone or combined with thrombocytosis might be used as predictive markers for PLM before initial treatment in early stage SCC.
机译:目的:探讨国际妇产科联合会(FIGO)IA-IIA期鳞状细胞癌抗原(SCC-Ag)和血小板增多对预测鳞状宫颈癌(SCC)盆腔淋巴转移(PLM)的临床意义。方法:回顾性分析2010年至2015年在中国三家医院的782例原发队列,以及2015年至2017年在另一家机构的407例验证队列的临床病理资料。采用受试者工作特征曲线确定最佳SCC- Ag阈值以预测组中的PLM。对PLM进行单因素和多因素logistic分析,以评估结果差异。结果:在原发和验证队列中,分别有15.6%(122/782)和25.3%(103/407)患者被分为血小板增多症组(血小板计数> 300×10 9 / L),分别。预测血小板增多症组和正常组的PLM的最佳SCC-Ag临界值分别为3.26 ng / mL(AUC 0.754;敏感性73.08%;特异性72.92%; P = 0.000)和4.58 ng / mL(AUC 0.706;敏感性53.26)在主要队列中分别为%;特异性83.98%; P = 0.000)和1.55 ng / mL(AUC 0.705;敏感性79.31%;特异性55.41%; P = 0.000)和1.75 ng / mL(AUC 0.655;敏感性69.57)验证队列中的数据;%;特异性为64.26%; P = 0.000)。在多元逻辑分析中,术前SCC-Ag超过3.26 ng / mL和淋巴管间隙受累是FIGO IA-IIA阶段SCC PLM的重要预测指标。结论:术前单独使用SCC-Ag或与血小板增多症合并可作为PLM的预测标志物,用于早期SCC的初始治疗。

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