安徽医科大学学报Issue(11)：1348-1351,4.
凝集素芯片技术在常见妇科肿瘤诊断中的应用
Application of lectin microarray technology for the diagnosis of common gynecological tumors
摘要
Abstract
Objective To probe the clinical values of the human serum glycoprotein profiles for the diagnosis of common gynecological tumors. Methods A total of 123 clinical serum samples which included 31 breast cancer, 24 cervical cancer, 19 ovarian cancer and 49 healthy individuals were collected. A lectin microarray consisting of 15 lectins with different glycan binding specificities was used to determine the glycoprotein profiles of serum sam-ples. Stepwise discrimination analysis method was adopted to establish function model of clinical serum samples classification with SPSS 15. 0 software. Results Two grades of diagnostic discrimination function models were es-tablished. The first grade discrimination function could differentiate gynecological tumors from healthy individuals, the diagnostic accuracy rates of retrospective inspection were 85. 7% and 83. 8% respectively, and the total diag-nostic accuracy rate was 84.6%. The second grade discrimination function was used to differentiate breast tumor, cervical tumor and ovarian tumor, the diagnostic accuracy rates of retrospective inspection were 96.8%,75.0%and 78.9% respectively, and the total diagnostic accuracy rate was 85.1%. Conclusion The human serum gly-coprotein profiles are associated with gynecological tumors, and the established discrimination function models based on lectin microarray data have a helpful reference value for the clinical diagnosis of gynecological tumors.关键词
凝集素芯片/妇科肿瘤/逐步判别分析Key words
lectin microarray/gynecological tumors/stepwise discrimination analysis分类
医药卫生引用本文复制引用
裴丽丽,肖超强,何为..凝集素芯片技术在常见妇科肿瘤诊断中的应用[J].安徽医科大学学报,2013,(11):1348-1351,4.基金项目
国家863高技术研究发展计划项目(编号:2012AA020203) （编号:2012AA020203）
