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目的 通过多因素回归方式有效地探讨了抑癌基因 ,DNA以及AgNOR等分子指标对卵巢癌预后的影响。方法 应用PCR技术 ,免疫组化 ,图象分析和COX模型等先进手段进行分子基因水平的研究。我们对 10 0例卵巢组织标本包括 6 0例卵巢癌 ,2 0例卵巢良性肿瘤 ,2 0例正常卵巢组织进行联合检测。结果 通过COX多因素比例风险模型了解到抑癌基因P5 3AGNOR含量DNA倍体水平与卵巢癌预后密切相关。其中AGNOR含量为最相关因素。结论 COX模型为妇科肿瘤预后的筛选 ,提供了重要参数。
Objective To investigate the effect of tumor suppressor gene, DNA and AgNOR on the prognosis of ovarian cancer by multivariate regression. Methods The molecular level of genes was studied by using advanced techniques such as PCR, immunohistochemistry, image analysis and COX model. We detected 100 cases of ovarian tissue specimens including 60 cases of ovarian cancer, 20 cases of benign ovarian tumors, 20 cases of normal ovarian tissue. Results The COX multifactorial risk model revealed that the DNA ploidy level of P53AGNOR was closely related to the prognosis of ovarian cancer. The AGNOR content is the most relevant factor. Conclusions The COX model provides a valuable parameter for screening gynecologic oncology prognosis.