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目的探讨宫颈癌组织中人乳头瘤病毒16型致癌基因E6(HPV16-E6-DNA)的病毒载量对预测宫颈癌患者生存状况的影响。方法选取126例宫颈癌患者为研究对象,提取宫颈癌组织DNA,利用荧光定量PCR技术检测宫颈癌组织中HPV16-E6-DNA病毒载量,根据检测的HPV16-E6-DNA载量将患者分为低载量组(﹤106copy/ng)与高载量组(≥106copy/ng)。采用Kaplan-Meier法计算两组患者的生存率,采用Cox回归对影响患者5年生存率的因素进行分析。结果比较两组患者间一般资料特征,年龄、FIGO分期及淋巴结转移情况,差异有统计学意义(P﹤0.05)。Kaplan-Meier生存率分析显示,低载量组患者1年、3年及5年生存率分别为95.67%、89.32%和74.29%,高载量组患者1年、3年及5年生存率分别为89.09%、62.60%和51.37%,低载量组高于高载量组,两组差异均有统计学意义(P﹤0.01)。Cox多因素回归分析结果显示,HPV16-E6-DNA病毒载量及淋巴结转移是影响宫颈癌患者预后的主要因素。结论 HPV16-E6-DNA病毒载量与宫颈癌患者的远期预后密切相关,可作为术后宫颈癌患者预后的预测因子。
Objective To investigate the effect of viral load of human papillomavirus type 16 oncogene E6 (HPV16-E6-DNA) in cervical cancer to predict the survival of patients with cervical cancer. Methods 126 cases of cervical cancer patients were selected as the research object, the DNA of cervical cancer tissues was extracted, and the HPV16-E6-DNA viral load in cervical cancer tissues was detected by fluorescence quantitative PCR. According to the detected HPV16-E6-DNA load, the patients were divided into Low-dose group (<106copy / ng) and high-load group (≥106copy / ng). The Kaplan-Meier method was used to calculate the survival rate of two groups of patients, and Cox regression was used to analyze the factors affecting the 5-year survival rate of patients. Results The general characteristics, age, FIGO stage and lymph node metastasis between the two groups were compared, the difference was statistically significant (P <0.05). Kaplan-Meier survival analysis showed that the 1-year, 3-year and 5-year survival rates of low-load group were 95.67%, 89.32% and 74.29% respectively. The 1-year, 3-year and 5-year survival rates of high load group were (89.09%, 62.60% and 51.37%, respectively). The low-dose group was higher than the high-load group, the difference was statistically significant (P <0.01). Cox multivariate regression analysis showed that HPV16-E6-DNA viral load and lymph node metastasis were the main factors affecting the prognosis of patients with cervical cancer. Conclusion The HPV16-E6-DNA viral load is closely related to the long-term prognosis of patients with cervical cancer and can be used as a predictor of the prognosis of patients with cervical cancer.