Liu Hai-yuan, Zheng Yan-hua, Zhang Jian-zhong, Leng Jin-hua, Sun Da-wei, Liu Zhu-feng, Zhu Lan, Lang Jing-he
Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, Beijing 100730, China.
Zhonghua Fu Chan Ke Za Zhi. 2009 Aug;44(8):601-4.
To establish the diagnostic model for endometriosis by screening the plasma biomarkers of endometriosis using surface enhanced laser desorption/ionization time of flight mass spectrometry (SELDI-TOF-MS)coupled with bioinformatics.
Plasma samples from 36 patients with endometriosis (endometriosis group) matched with 35 patients with infertility or benign ovarian tumors (control group) before laparoscopy were collected at Peking Union Medical College Hospital from January to October 2007. Plasma protein profiling were detected using SELDI-TOF-MS and protein chip and peak intensities were compared between the two groups. Biomarker Discovery Software was used for data analysis and model was build by classification and regression tree software (CART), sensitivity and specificity of the diagnostic model were verified.
There were 14 protein peaks abnormally expressed in endometriosis group compared with those of control group (P < 0.01). The diagnostic model composed of three protein peaks with the molecular weight of 3,956,000, 11,710,000 and 6,986,000 showed a sensitivity of 92% and specificity of 83%. In the blind test the model showed a sensitivity of 88% and specificity of 80%.
SELDI-TOF-MS is a new approach for screening markers of endometriosis. Its clinical value deserves further investigation.
采用表面增强激光解吸/电离飞行时间质谱（SELDI-TOF-MS）结合生物信息学技术筛选子宫内膜异位症的血浆生物标志物，建立子宫内膜异位症的诊断模型。
于2007年1月至10月在北京协和医院收集36例子宫内膜异位症患者（子宫内膜异位症组）及35例不孕或卵巢良性肿瘤患者（对照组）腹腔镜检查前的血浆样本。采用SELDI-TOF-MS和蛋白质芯片检测血浆蛋白质谱，比较两组的峰强度。使用生物标志物发现软件进行数据分析，并通过分类回归树软件（CART）建立模型，验证诊断模型的敏感性和特异性。
与对照组相比，子宫内膜异位症组有14个蛋白质峰异常表达（P<0.01）。由分子量分别为3956000、11710000和6986000的三个蛋白质峰组成的诊断模型，敏感性为92%，特异性为83%。在盲法测试中，该模型的敏感性为88%，特异性为80%。
SELDI-TOF-MS是筛选子宫内膜异位症标志物的一种新方法。其临床价值值得进一步研究。
