Relationship Between Serum CD46,KLF7,FURIN and Clinicopathological Features in Patients with Chronic Cervicitis Combined with HPV Infection and Their Prognostic Predictive Value
-
摘要:
目的 探讨血清膜辅因子蛋白(membrane cofactor protein,CD46)、Krüppel样因子7(krüppel-like factor 7,KLF7)、弗林蛋白酶(Furin,FURIN)与慢性宫颈炎合并HPV感染患者临床病理特征的关系及预后预测价值。 方法 选取2022年12月至2024年12月烟台山医院收治的217例确诊HPV感染的慢性宫颈炎患者、217例单纯慢性宫颈炎患者及217例妇科体检健康的志愿者为研究对象,分别纳入宫颈炎合并HPV组、单纯宫颈炎组、健康组。根据治疗3个月后预后疗效评估,将慢性宫颈炎合并HPV患者分为疗效显著组(n = 133)和疗效不佳组(n = 84)。采用ELISA法检测血清CD46、KLF7、FURIN水平;采用Spearman法和Pearson法分析CD46、KLF7、FURIN水平与HPV危险度及炎症因子的相关性;采用 Cox回归筛选宫颈炎合并HPV患者疗效不佳的影响因素;采用ROC曲线分析CD46、KLF7、FURIN水平预测宫颈炎合并HPV患者疗效不佳的价值;比较不同CD46、KLF7、FURIN截断值水平宫颈炎合并HPV患者发生疗效不佳的相对危险度。 结果 宫颈炎合并HPV组患者血清CD46、KLF7、FURIN水平较单纯宫颈炎组、健康组依次升高(P < 0.05)。宫颈炎合并 HPV 组患者血清 CD46、KLF7、FURIN 水平显著高于单纯宫颈炎组和健康组(P < 0.05),单纯宫颈炎组高于健康组(P < 0.05)。HPV高危型组患者血清 CD46、KLF7、FURIN 水平显著高于中危型组和低危型组(P < 0.05),中危型组高于低危型组(P < 0.05)。宫颈炎合并HPV组炎症因子IL-10、TNF-α水平高于单纯宫颈炎组患者(P < 0.05),IFN-γ水平低于单纯宫颈炎组(P < 0.05)。Spearman 相关分析显示,CD46、KLF7、FURIN 水平与 HPV 危险度呈正相关(rs = 0.523、0.486、0.507,P < 0.05);Pearson 相关分析显示,CD46、KLF7、FURIN 水平与 IL-10、TNF-α 呈正相关(r = 0.492、0.535、0.527,P < 0.05),与 IFN-γ 呈负相关(r = −0.538、−0.511、−0.479,P < 0.05)。宫颈炎合并HPV疗效不佳组患者血清CD46、KLF7、FURIN水平显著高于疗效显著组患者(P < 0.05);两组年龄、BMI比较,差异无统计学意义(P > 0.05)。单因素 Cox 比例风险回归分析显示,年龄、BMI均与宫颈炎合并 HPV 患者疗效不佳无关(P > 0.05)。将上述有意义的纳入多因素Cox回归发现,CD46、KLF7、FURIN水平升高等均为宫颈炎合并HPV患者疗效不佳的影响因素(P < 0.05)。CD46、KLF7、FURIN联合预测宫颈炎合并HPV患者疗效不佳的AUC为0.947(95%CI:0.918~0.975),优于CD46(Z = 2.862,P < 0.05)、KLF7(Z = 3.584,P < 0.05)、FURIN(Z = 3.116,P < 0.05)单一预测的AUC。CD46≥253.39、KLF7≥5.91、FURIN≥135.41表达的宫颈炎合并HPV患者预后疗效不佳的相对危险度是CD46 < 253.39、KLF7 < 5.91、FURIN < 135.41患者的1.958、1.691和2.041倍(χ2 = 34.775、22.380、40.412,P < 0.05)。 结论 慢性宫颈炎合并HPV感染患者血清CD46、KLF7、FURIN水平升高,三者与HPV危险度及炎症因子水平存在相关性,CD46、KLF7、FURIN联合预测宫颈炎合并HPV患者疗效不佳的较高。 Abstract:Objective To investigate the relationship between serum membrane cofactor protein (CD46), Krüppel-like factor 7 (KLF7), Furin protease (FURIN) and clinical-pathological characteristics of chronic cervicitis combined with HPV infection, and their predictive value for prognosis. Methods A total of 217 patients diagnosed with chronic cervicitis complicated by HPV infection, 217 patients with chronic cervicitis, and 217 healthy volunteers from gynecological examination admitted to Yantai Mountain Hospital between December 2022 and December 2024 were enrolled in this study and divided into chronic cervicitis with HPV group, chronic cervicitis group, and healthy control group, respectively. Based on evaluation of therapeutic efficacy after three months of treatment, patients in the chronic cervicitis with HPV group were divided into significant efficacy group (n = 133) and poor efficacy group (n = 84). Serum levels of CD46, KLF7, and FURIN were measured using ELISA. Spearman and Pearson correlation analyses were employed to assess the correlation between these biomarker levels, HPV risk stratification, and inflammatory cytokine levels. Cox regression analysis was employed to screen for factors affecting poor efficacy in cervicitis complicated with HPV patients. ROC curve analysis was used to evaluate the value of CD46, KLF7, and FURIN levels in predicting poor efficacy in cervicitis combined with HPV patients. Relative risks of poor efficacy at different cutoff values of CD46, KLF7, and FURIN were compared. Results Serum levels of CD46, KLF7, and FURIN in the cervicitis complicated with HPV group were progressively elevated compared to the cervicitis group and healthy control group (P < 0.05). Serum CD46, KLF7, and FURIN levels in the cervicitis combined with HPV group were significantly higher than those in the cervicitis group and healthy control group (P < 0.05), and the cervicitis group was higher than the healthy control group (P < 0.05). Serum CD46, KLF7, and FURIN levels in the high-risk HPV type group were significantly higher than those in the intermediate-risk and low-risk type groups (P < 0.05), and the intermediate-risk group was higher than the low-risk group (P < 0.05). Inflammatory factors IL-10 and TNF-α levels in the cervicitis combined with HPV group were higher than those in the cervicitis group (P < 0.05), while IFN-γ levels were lower (P < 0.05). Spearman correlation analysis showed that CD46, KLF7, and FURIN levels were positively correlated with HPV risk stratification (rs = 0.523, 0.486, 0.507, P < 0.05). Pearson correlation analysis demonstrated that CD46, KLF7, and FURIN levels were positively correlated with IL-10 and TNF-α (r = 0.492, 0.535, 0.527, P < 0.05) and negatively correlated with IFN-γ (r = −0.538, −0.511, −0.479, P < 0.05). Serum CD46, KLF7, and FURIN levels in the poor efficacy group were significantly higher than those in the significant efficacy group (P < 0.05); there was no statistically significant difference in age and BMI between the two groups (P > 0.05). Univariate Cox proportional hazards regression analysis showed that neither age nor BMI was associated with poor efficacy in cervicitis combined with HPV patients (P > 0.05). Multivariate Cox regression analysis including significant variables revealed that elevated CD46, KLF7, and FURIN levels were all independent factors affecting poor efficacy in cervicitis combined with HPV patients (P < 0.05). The combined AUC of CD46, KLF7, and FURIN for predicting poor efficacy in cervicitis combined with HPV patients was 0.947 (95%CI: 0.918~0.975), which was superior to the individual AUC values of CD46 (Z = 2.862, P < 0.05), KLF7 (Z = 3.584, P < 0.05), and FURIN (Z = 3.116, P < 0.05). The relative risk of poor prognosis in cervicitis combined with HPV patients with CD46≥253.39, KLF7≥5.91, and FURIN≥135.41 expression was 1.958, 1.691, and 2.041 times that of patients with CD46 < 253.39, KLF7 < 5.91, and FURIN < 135.41, respectively (χ2 = 34.775, 22.380, 40.412, P < 0.05). Conclusion Serum CD46, KLF7, and FURIN levels are elevated in patients with chronic cervicitis combined with HPV infection, and all three are correlated with HPV risk stratification and inflammatory factor levels. The combined detection of CD46, KLF7, and FURIN has high predictive value for poor efficacy in cervicitis combined with HPV patients. -
Key words:
- CD46 /
- KLF7 /
- FURIN /
- Chronic cervicitis complicated with HPV infection /
- Clinical pathological features /
- Prognosis /
- Prediction
-
表 1 宫颈炎合并HPV组、单纯宫颈炎组、健康组一般资料比较[($ \bar x \pm s $)/n(%)]
Table 1. Comparison of general data among cervical inflammation combined with HPV group,cervical inflammation group and healthy group[($ \bar x \pm s $)/n(%)]
指标 宫颈炎合并HPV组(n = 217) 单纯宫颈炎组(n = 217) 健康组(n = 217) F/t/χ2 P 年龄(岁) 52.56 ± 8.42 51.38 ± 8.34 51.75 ± 8.53 1.112 0.329 BMI(kg/m2) 23.84 ± 2.37 24.15 ± 2.28 23.76 ± 2.41 1.662 0.191 孕次(次) 2.23 ± 0.35 2.21 ± 0.29 2.20 ± 0.26 0.554 0.575 产次(次) 2.14 ± 0.19 2.11 ± 0.20 2.06 ± 0.18 1.400 0.247 宫颈长度(cm) 4.24 ± 0.71 4.21 ± 0.70 4.23 ± 0.72 0.100 0.904 性生活频率(次/周) 4.167 0.125 < 3 84(38.71) 93(42.86) 105(48.39) ≥3 133(61.29) 124(57.14) 112(51.61) 肠道菌群 5.210 0.157 衣原体 34(15.67) 46(21.20) 霉菌 42(19.35) 51(23.50) 支原体 85(39.17) 79(36.41) 其它 56(25.81) 41(18.89) 表 2 宫颈炎合并HPV组、单纯宫颈炎组、健康组血清CD46、KLF7、FURIN水平比较($ \bar x \pm s $)
Table 2. Comparison of serum CD46,KLF7,and FURIN levels among cervical inflammation with HPV group,cervical inflammation group,and healthy group($ \bar x \pm s $)
组别 n CD46(pg/mL) KLF7(ng/mL) FURIN(IU/L) 健康组 217 105.69 ± 21.36 3.45 ± 0.84 64.25 ± 17.56 单纯宫颈炎组 217 163.48 ± 39.57a 4.81 ± 1.06a 87.49 ± 21.35a 宫颈炎合并HPV组 217 244.51 ± 42.36ab 6.19 ± 1.34ab 125.36 ± 29.54ab F 520.698 337.090 378.418 P < 0.001* < 0.001* < 0.001* *P < 0.05;与健康组比较,aP < 0.05;与单纯宫颈炎组比较,bP < 0.05。 表 3 不同危险型HPV患者血清CD46、KLF7、FURIN水平比较($ \bar x \pm s $)
Table 3. Comparison of serum CD46,KLF7,and FURIN levels in patients with different high-risk HPV types($ \bar x \pm s $)
组别 n CD46(pg/mL) KLF7(ng/mL) FURIN(IU/L) HPV低危型组 98 215.36 ± 35.42 5.12 ± 1.12 104.54 ± 23.45 HPV中危型组 37 248.49 ± 41.67a 6.04 ± 1.43a 128.68 ± 28.64a HPV高危型组 82 277.27 ± 49.24ab 7.54 ± 1.58ab 148.75 ± 33.29ab F 48.317 70.654 54.387 P < 0.001* < 0.001* < 0.001* *P < 0.05;与HPV低危组比较,aP < 0.05;与HPV中危组比较,bP < 0.05。 表 4 宫颈炎合并HPV组和单纯宫颈炎组炎症因子水平比较($ \bar x \pm s $)
Table 4. Comparison of inflammatory factor levels between the cervicitis combined with HPV group and cervicitis group($ \bar x \pm s $)
组别 n IFN-γ(pg/mL) IL-10(µg/L) TNF-α(µg/L) 单纯宫颈炎组 217 16.28 ± 4.34 13.64 ± 3.76 11.56 ± 2.84 宫颈炎合并HPV组 217 9.57 ± 2.64 19.52 ± 4.57 15.37 ± 4.11 t 19.458 14.636 11.234 P < 0.001* < 0.001* < 0.001* *P < 0.05。 表 5 CD46、KLF7、FURIN水平与HPV危险度及炎症因子的相关性
Table 5. Correlation between CD46,KLF7,FURIN levels and HPV risk and inflammatory factors
指标 CD46 KLF7 FURIN r/rs P r/rs P r/rs P HPV危险度 0.523 0.015* 0.486 0.033* 0.507 0.023* IFN-γ −0.538 0.001* −0.511 0.019* −0.479 0.030* IL-10 0.492 0.031* 0.535 0.007* 0.527 0.011* TNF-α 0.504 0.026* 0.520 0.018* 0.513 0.020* *P < 0.05。 表 6 疗效显著组和疗效不佳组患者年龄、BMI、血清CD46、KLF7、FURIN水平比较($ \bar x \pm s $)
Table 6. Comparison of age,BMI,serum CD46,KLF7,and FURIN levels between the patients in the highly effective group and the ineffective group($ \bar x \pm s $)
组别 n 年龄(岁) BMI(kg/m2) CD46(pg/mL) KLF7(ng/mL) FURIN(IU/L) 疗效显著组 133 52.23 ± 8.15 23.61 ± 2.24 229.62 ± 39.54 5.84 ± 1.25 117.18 ± 28.54 疗效不佳组 84 52.48 ± 8.22 23.65 ± 2.41 268.09 ± 45.28 6.75 ± 1.49 138.32 ± 31.63 t 0.219 0.124 6.596 4.845 5.095 P 0.827 0.901 < 0.001* < 0.001* < 0.001* *P < 0.05。 表 7 宫颈炎合并HPV患者疗效不佳的单因素Cox比例风险回归分析
Table 7. Univariate Cox proportional hazards regression analysis for poor therapeutic outcomes in patients with cervicitis and HPV infection
影响因素 B SE Waldχ2 P HR 95%CI 下限 上限 年龄 0.000 0.013 0.001 0.974 1.000 0.976 1.026 BMI 0.031 0.049 0.386 0.534 1.031 0.936 1.136 CD46 0.003 0.001 9.955 0.002* 1.003 1.001 1.005 KLF7 0.247 0.086 8.374 0.004* 1.281 1.083 1.514 FURIN 0.011 0.004 9.084 0.003* 1.011 1.004 1.019 *P < 0.05。 表 8 宫颈炎合并HPV患者疗效不佳的Cox比例风险回归分析
Table 8. Cox proportional hazards regression analysis for poor therapeutic outcomes in patients with cervicitis and HPV infection
影响因素 B SE Waldχ2 P HR 95%CI 下限 上限 CD46 0.002 0.001 4.853 0.028* 1.002 1 1.004 KLF7 0.201 0.084 5.712 0.017* 1.223 1.037 1.443 FURIN 0.009 0.004 5.625 0.018* 1.009 1.002 1.017 *P < 0.05。 表 9 CD46、KLF7、FURIN水平预测宫颈炎合并HPV患者疗效不佳的价值
Table 9. The value of CD46,KLF7 and FURIN levels in predicting poor therapeutic effect in patients with cervical inflammation and HPV infection
项目 AUC 95%CI 敏感度(%) 特异性(%) 截断值 约登指数 CD46 0.865 0.816~0.914 82.10 71.40 253.39 pg/mL 0.535 KLF7 0.838 0.784~0.891 85.70 68.40 5.91 ng/mL 0.541 FURIN 0.855 0.804~0.905 81.00 75.90 135.41 IU/L 0.569 联合预测 0.947 0.918~0.975 91.70 82.70 0.744 表 10 不同CD46、KLF7、FURIN水平对宫颈炎合并HPV患者疗效不佳的相对危险度
Table 10. Relative risk of poor therapeutic effect in patients with cervicitis complicated with HPV due to different levels of CD46,KLF7 and FURIN
指标 疗效显著组(n = 133) 疗效不佳组(n = 84) 相对危险度 χ2 P (95%CI) CD46 ≥253.39 42 58 1.958(1.524~2.515) 29.090 < 0.001* < 253.39 91 26 KLF7 ≥5.91 40 52 1.691(1.339~2.135) 21.358 < 0.001* < 5.91 93 32 FURIN ≥135.41 30 56 2.041(1.599~2.606) 41.870 < 0.001* < 135.41 103 28 *P < 0.05。 -
[1] Ma F, Liu J, Lv X, et al. Characterization of allergic inflammation in chronic uterine cervicitis[J]. Clin Exp Immunol, 2022, 207(1): 44-52. doi: 10.1093/cei/uxab026 [2] McBride A A. Human malignancies associated with persistent HPV infection[J]. Oncologist, 2024, 29(6): 457-464. doi: 10.1093/oncolo/oyae071 [3] 苑丹, 陈玉梅, 王起来, 等. 重组人干扰素α-2b凝胶联合抗人乳头瘤病毒生物蛋白敷料治疗慢性宫颈炎合并人乳头瘤病毒感染的临床疗效[J]. 中国妇幼保健, 2025, 40(8): 1359-1364. [4] 华超杰, 吕芸, 贺倩倩, 等. 慢性宫颈炎合并HPV感染患者炎性因子水平与预后的相关性[J]. 中国现代医生, 2024, 62(23): 53-56+77. doi: 10.3969/j.issn.1673-9701.2024.23.012 [5] Elvington M, Liszewski M K, Atkinson J P. CD46 and oncologic interactions: Friendly fire against cancer[J]. Antibodies, 2020, 9(4): 59. doi: 10.3390/antib9040059 [6] Mao Y, Li H, Xu G, et al. Alpha-lipoic acid targets KLF7 expression to inhibit cervical cancer progression[J]. Acta Biochim Biophys Sin, 2024, 57(2): 237-249. [7] Ivachtchenko A V, Khvat A V, Shkil D O. Development and prospects of furin inhibitors for therapeutic applications[J]. Int J Mol Sci, 2024, 25(17): 9199. doi: 10.3390/ijms25179199 [8] Vieira G V, Somera Dos Santos F, Lepique A P, et al. Proteases and HPV-induced carcinogenesis[J]. Cancers, 2022, 14(13): 3038. doi: 10.3390/cancers14133038 [9] 谢幸, 苟文丽. 妇产科学[M]. 8版. 北京: 人民卫生出版社, 2013: 255-256. [10] 汤岭梅, 杨树环, 毛清华. 慢性宫颈炎合并HPV感染140例血清SOX2和PD-L1表达与临床病理特征相关性分析[J]. 安徽医药, 2024, 28(10): 2030-2034. [11] 张明璇, 王嘉浩, 张乐, 等. 不同宫颈病变女性阴道菌群特征变化及菌群间相互关系分析[J]. 中华肿瘤杂志, 2023, 45(3): 253-258. [12] 张瑛, 任萍. 重组人干扰素α-2a栓联合激光治疗对慢性宫颈炎合并HPV感染患者HPV DNA负荷量血清超敏C-反应蛋白水平及复发率的影响[J]. 中国妇幼保健, 2021, 36(18): 4375-4378. doi: 10.19829/j.zgfybj.issn.1001-4411.2021.18.073 [13] 翟明, 李辉. 冷冻联合干扰素治疗慢性宫颈炎合并人乳头瘤病毒感染的疗效及对光化学值/临界值比值和炎症细胞因子的影响[J]. 中国妇幼保健, 2023, 38(13): 2354-2357. doi: 10.19829/j.zgfybj.issn.1001-4411.2023.13.007 [14] Huang W, Sun S, Yu Z, et al. Chronic cervicitis and cervical cancer detection based on deep learning of colposcopy images toward translational pharmacology[J]. Front Pharmacol, 2022, 13: 911962. doi: 10.3389/fphar.2022.911962 [15] Meyer B J, Kunz N, Seki S, et al. Immunologic and genetic contributors to CD46-dependent immune dysregulation[J]. J Clin Immunol, 2023, 43(8): 1840-1856. doi: 10.1007/s10875-023-01547-y [16] Serrano-Rísquez C, Omar M, Gómez-Vidal M A, et al. CD46 genetic variability and HIV-1 infection susceptibility[J]. Cells, 2021, 10(11): 3094. doi: 10.3390/cells10113094 [17] Yu J H, Yuan H B, Yan Z Y, et al. The complement regulatory protein CD46 serves as a novel biomarker for cervical cancer diagnosis and prognosis evaluation[J]. Front Immunol, 2024, 15: 1421778. doi: 10.3389/fimmu.2024.1421778 [18] Cai H, Liang J, Jiang Y, et al. KLF7 regulates super-enhancer-driven IGF2BP2 overexpression to promote the progression of head and neck squamous cell carcinoma[J]. J Exp Clin Cancer Res, 2024, 43(1): 69. doi: 10.1186/s13046-024-02996-y [19] De Donato M, Babini G, Mozzetti S, et al. KLF7: A new candidate biomarker and therapeutic target for high-grade serous ovarian cancer[J]. J Exp Clin Cancer Res, 2020, 39(1): 265. doi: 10.1186/s13046-020-01775-9 [20] 王瑾, 刘淑君, 蒋天从. 血清KLF7、CA15-3在宫颈癌诊断及预后评估中的临床意义[J]. 临床肿瘤学杂志, 2025, 30(2): 156-160. doi: 10.3969/j.issn.1009-0460.2025.02.009 [21] Yu C, Wang G, Liu Q, et al. Host antiviral factors hijack furin to block SARS-CoV-2, Ebola virus, and HIV-1 glycoproteins cleavage[J]. Emerg Microbes Infect, 2023, 12(1): 2164742. [22] Izaguirre G, Zirou N, Meyers C. Dysregulation of FURIN and other proprotein convertase genes in the progression from HPV infection to cancer[J]. Int J Mol Sci, 2025, 26(2): 461. doi: 10.3390/ijms26020461 -
下载: