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| 基于免疫组化和生物信息学的乳腺癌预后预测模型的建立及应用 | |
| 引用本文： | 胡跃,吴丽霞,余捷凯,贺识荆,张苏展.基于免疫组化和生物信息学的乳腺癌预后预测模型的建立及应用[J].实用肿瘤杂志,2006,21(2):115-117. |
| 作者姓名： | 胡跃 吴丽霞 余捷凯 贺识荆 张苏展 |
| 作者单位： | 1. 浙江大学医学院附属第二医院肿瘤科,浙江,杭州,310009 2. 浙江大学城市学院临床医学二系,浙江,杭州,310006 3. 浙江大学肿瘤研究所,浙江,杭州,310009 |
| 摘 要： | 目的应用生物信息学方法从常用的免疫组化项目中筛选出用于预测乳腺癌预后的最佳项目组合并建立预后预测模型。方法应用支持向量机分析软件对15例预后不良和30例无瘤生存乳腺癌患者的免疫组化检测结果进行分析，筛选预测预后的最佳项目组合并建立模型。结果筛选出由孕激素受体（PR）、p53蛋白、表皮生长因子受体（EGFR）、组织蛋白酶D（Cathepsin D）、增殖细胞核抗原（PCNA）和人表皮生长因子受体2（c-erbB2）共6项组成的最佳预后预测模型，对预后不良组、无瘤生存组的预测准确率分别为80．0％和90．0％，总准确率86．7％。结论利用生物信息学方法对乳腺癌患者的免疫组化检测结果进行综合分析处理有助于判断其预后，值得进一步深入研究。 |
| 关 键 词： | 乳腺肿瘤/病理学 免疫组织化学 肿瘤转移 预后 生存率 |
| 文章编号： | 1001-1692（2006）02-0115-03 |
| 收稿时间： | 2005-03-11 |
| 修稿时间： | 2005年3月11日 |
Establishment and application of prognostic model for breast cancer based on immunohistochemistry and bioinformatics |
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| HU Yue, WU Li-xia, YU Jie-kai, et al.Establishment and application of prognostic model for breast cancer based on immunohistochemistry and bioinformatics[J].Journal of Practical Oncology,2006,21(2):115-117. | |
| Authors: | HU Yue WU Li-xia YU Jie-kai |
| Institution: | 1. Department of Oncology,The Second Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, 310009,China; 2. Second Department of Medicine, Zhejiang University City College, Hangzhou, 310006 ,China ; 3. Cancer Institute, Zhejiang University,Hangzhou, 310009 ,China |
| Abstract: | Objective To establish a prognostic model for breast cancer based on immunohistochemisry and bioinformatics.Methods The immunohistochemical parameters of 45 cases of breast cancer(15 cases with poor prognoses and 30 surviving free from cancer) were analyzed by software based on support vector machine(SVM).The optimal immunohistochemical combination for prognoses was screened and the model was established.Results The combination of PR,p53,EGFR,Cathepsin D,PCNA and C-erbB2 presented the optimal prognostic value.The established model demonstrated a high accuracy rate(80.0% for the patients with poor prognosis and 90.0% for the patients surviving free from cancer).Conclusion The bioinformatic model based on immunohistochemical parameters would be beneficial for prognosis of breast cancer. |
| Keywords: | breast neoplasms/pathology immunohistochemistry neoplasm metastasis prognosis survival rate |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |