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Abstract：
OBJECTIVE: The current study aimed to delineate the relationship between furin and chronic inflammation while cervical intraepithelial neoplasia progresses to cancer.
METHODS: This cross-sectional study included 81 women who required colposcopic examinations. The study groups were formed based on pathological results: Group I included women with cervical intraepithelial neoplasia (CIN) I (n = 30); Group II included women with CIN II-III (n = 28); and Group III included women with cervical cancer (CC) (n = 23). Furin, ki-67, and p16 levels were evaluated based on immunostaining intensity. The inflammatory indices were calculated in parallel with the literature from routine blood samples retrieved within one week before the procedure.
RESULTS: Furin expression gradually increased from CIN I to CIN II-III and from CIN II-III to CC, respectively (p < 0.001, p = 0.005). NLR, MLR, PLR, and SII were significantly higher in the CC group (p < 0.001). ROC curve analysis unveiled that NLR, MLR, PLR, and SII predicted the presence of CC with a cutoff value of 2.39 for NLR (sensitivity: 91.3%, specificity: 63.8%, AUROC: 0.79, p < 0.001); a cutoff value of 0.27 for MLR (sensitivity: 78.3%, specificity: 72.4%, AUROC: 0.77, p = 0.009); a cutoff value of 123 for PLR (sensitivity: 100%, specificity: 41.4%, AUROC: 0.70, p = 0.04); and a cutoff value of 747 for SII (sensitivity: 69.6%, specificity: 90.7%, AUROC: 0.71, p = 0.014).
CONCLUSIONS: Furin expression increased gradually in parallel with the severity of cervical intraepithelial neoplasia. The inflammatory indices were higher in the presence of CC and denoted a good discrimination ability for predicting cervical cancer.
METHODS: This cross-sectional study included 81 women who required colposcopic examinations. The study groups were formed based on pathological results: Group I included women with cervical intraepithelial neoplasia (CIN) I (n = 30); Group II included women with CIN II-III (n = 28); and Group III included women with cervical cancer (CC) (n = 23). Furin, ki-67, and p16 levels were evaluated based on immunostaining intensity. The inflammatory indices were calculated in parallel with the literature from routine blood samples retrieved within one week before the procedure.
RESULTS: Furin expression gradually increased from CIN I to CIN II-III and from CIN II-III to CC, respectively (p < 0.001, p = 0.005). NLR, MLR, PLR, and SII were significantly higher in the CC group (p < 0.001). ROC curve analysis unveiled that NLR, MLR, PLR, and SII predicted the presence of CC with a cutoff value of 2.39 for NLR (sensitivity: 91.3%, specificity: 63.8%, AUROC: 0.79, p < 0.001); a cutoff value of 0.27 for MLR (sensitivity: 78.3%, specificity: 72.4%, AUROC: 0.77, p = 0.009); a cutoff value of 123 for PLR (sensitivity: 100%, specificity: 41.4%, AUROC: 0.70, p = 0.04); and a cutoff value of 747 for SII (sensitivity: 69.6%, specificity: 90.7%, AUROC: 0.71, p = 0.014).
CONCLUSIONS: Furin expression increased gradually in parallel with the severity of cervical intraepithelial neoplasia. The inflammatory indices were higher in the presence of CC and denoted a good discrimination ability for predicting cervical cancer.
摘要：
目的：本研究旨在探讨宫颈上皮内瘤变进展为癌症时，Furin与慢性炎症之间的关系。
方法：这项横断面研究包括81名需要阴道镜检查的女性。根据病理结果组成研究组：第一组包括宫颈上皮内瘤变（CIN）I（n=30）的女性；第二组包括CINII-III的女性（n=28）；第三组包括宫颈癌（CC）的女性（n=23）。弗林,基于免疫染色强度评估ki-67和p16水平。在手术前一周内，与从常规血样中提取的文献平行计算炎症指数。
结果：Furin表达从CINI到CINII-III和从CINII-III到CC逐渐增加，分别(p<0.001，p=0.005)。NLR,MLR,PLR,和SII在CC组中显著增高(p<0.001)。ROC曲线分析揭示了NLR，MLR,PLR,SII预测了CC的存在，NLR的截止值为2.39(灵敏度：91.3%，特异性：63.8%，AUROC：0.79，p<0.001）；MLR的截止值为0.27（灵敏度：78.3％，特异性：72.4%，AUROC：0.77，p=0.009）；PLR的截止值为123（灵敏度：100％，特异性：41.4%，AUROC：0.70，p=0.04）；SII的截止值为747（灵敏度：69.6％，特异性：90.7%，AUROC：0.71，p=0.014）。
结论：Furin表达随着宫颈上皮内瘤变的严重程度而逐渐增加。在存在CC的情况下，炎症指数较高，表明预测宫颈癌的良好辨别能力。
方法：这项横断面研究包括81名需要阴道镜检查的女性。根据病理结果组成研究组：第一组包括宫颈上皮内瘤变（CIN）I（n=30）的女性；第二组包括CINII-III的女性（n=28）；第三组包括宫颈癌（CC）的女性（n=23）。弗林,基于免疫染色强度评估ki-67和p16水平。在手术前一周内，与从常规血样中提取的文献平行计算炎症指数。
结果：Furin表达从CINI到CINII-III和从CINII-III到CC逐渐增加，分别(p<0.001，p=0.005)。NLR,MLR,PLR,和SII在CC组中显著增高(p<0.001)。ROC曲线分析揭示了NLR，MLR,PLR,SII预测了CC的存在，NLR的截止值为2.39(灵敏度：91.3%，特异性：63.8%，AUROC：0.79，p<0.001）；MLR的截止值为0.27（灵敏度：78.3％，特异性：72.4%，AUROC：0.77，p=0.009）；PLR的截止值为123（灵敏度：100％，特异性：41.4%，AUROC：0.70，p=0.04）；SII的截止值为747（灵敏度：69.6％，特异性：90.7%，AUROC：0.71，p=0.014）。
结论：Furin表达随着宫颈上皮内瘤变的严重程度而逐渐增加。在存在CC的情况下，炎症指数较高，表明预测宫颈癌的良好辨别能力。
