Sun Cheng, Zhang Jun, Pan Lili, Yao Shuang, Zhang Fenghua, Ji Linjuan, Yu Miaomei, Luo Guanghua, Jiang Xiping
Department of Gynecology, The First People's Hospital of Changzhou and the Third Affiliated Hospital of Soochow University, Changzhou, China.
Clinical Medical Research Center, The First People's Hospital of Changzhou and the Third Affiliated Hospital of Soochow University, Changzhou, China.
Front Oncol. 2025 May 20;15:1541928. doi: 10.3389/fonc.2025.1541928. eCollection 2025.
Human papillomavirus (HPV) infection, especially high-risk types like HPV16 and HPV18, is a primary cause of cervical cancer. The gene influences cellular response to DNA damage and has a functional polymorphism (rs1042522, p.Arg72Pro) that affects susceptibility to degradation by HPV E6 protein. This study aims to analyze the relationship among genotypes, high-risk HPV infection, and hematological parameters in cervical cancer development and to develop a predictive model.
This retrospective cross-sectional study collected cervical cancer specimens and brush samples from patients at the First People's Hospital of Changzhou between January 2020 and August 2024. HPV types and genotyping were performed using PCR. Inflammatory markers like neutrophil-to-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and platelet-to-lymphocyte ratio (PLR) were calculated. Statistical analyses including logistic regression and LASSO were used to construct a predictive model.
The study included 147 female patients with cervical cancer and controls. HPV16 and HPV18 had high infection rates. In the log-additive model, each additional C allele reduced the risk by 48% (OR = 0.52, 95% CI: 0.27-0.98, = 0.038). Significant interactions were found between genotypes and HPV18 infection on cervical cancer risk ( = 0.026). Cervical cancer patients showed reduced red blood cell count and hemoglobin. The predictive model, including genotype, HPV16, HPV18, and hematological parameters, had an AUC of 0.920 (95% CI: 0.875-0.965).
The study identified significant differences in genotypes, HPV infection, and hematological parameters between cervical cancer patients and controls. The predictive model demonstrated high discriminatory ability for cervical cancer risk assessment. The interaction between HPV18 and genotypes suggests a potential protective effect of the C allele. Larger studies are needed to validate these findings.
人乳头瘤病毒（HPV）感染，尤其是HPV16和HPV18等高危型别，是宫颈癌的主要病因。[该基因]影响细胞对DNA损伤的反应，并且存在一种功能性多态性（rs1042522，p.Arg72Pro），其会影响被HPV E6蛋白降解的易感性。本研究旨在分析[该基因]基因型、高危型HPV感染与宫颈癌发生过程中血液学参数之间的关系，并建立一个预测模型。
这项回顾性横断面研究收集了2020年1月至2024年8月期间常州市第一人民医院患者的宫颈癌标本和刷检样本。使用PCR进行HPV型别检测和[该基因]基因分型。计算中性粒细胞与淋巴细胞比值（NLR）、全身免疫炎症指数（SII）和血小板与淋巴细胞比值（PLR）等炎症标志物。采用包括逻辑回归和LASSO分析在内的统计分析方法构建预测模型。
该研究纳入了147例宫颈癌女性患者及对照。HPV16和HPV18感染率较高。在对数相加模型中，每增加一个C等位基因，风险降低48%（OR = 0.52，95%CI：0.27 - 0.98，P = 0.038）。发现[该基因]基因型与HPV18感染在宫颈癌风险方面存在显著交互作用（P = 0.026）。宫颈癌患者的红细胞计数和血红蛋白降低。包括[该基因]基因型、HPV16、HPV18和血液学参数的预测模型的AUC为0.920（95%CI：0.875 - 0.965）。
该研究确定了宫颈癌患者与对照在[该基因]基因型、HPV感染和血液学参数方面存在显著差异。该预测模型对宫颈癌风险评估具有较高的判别能力。HPV18与[该基因]基因型之间的交互作用表明C等位基因可能具有保护作用。需要更大规模的研究来验证这些发现。
