安徽医科大学学报2012，Vol.47Issue(9)：1103-1107,5.
SELDI-TOF-MS技术在贲门癌诊断中的初步研究
SELDI-TOF-MS technique in diagnosis of gastric cardia adenocarcinoma
摘要
Abstract
Objective To investigate the gastric cardia adenocarcinoma (GCA ) related tumor markers and establish GCA diagnosis model, to screen the proteins which can distinguish GCA with or without lymph node metastases or not, and create a new way for early diagnosis and prognosis of GCA. Methods The proteins were detected by CM10 chips combined surface-enhanced laser desorption/ionization time of flight mass spectrometry ( SELDI-TOF-MS ) in of serum samples from 101 cases of GCA patients and 118 cases of healthy controls. The biomarker Wizard software and biomarker patterns system( BPS )were used to analyze distinct proteins in two groups, and establish a decision tree model for diagnosing GCA which was blindly validated by random selected samples. The protein fingerprint compared patterns were compared between patients with and without lymph nodes metastasis to obtain distinct proteins. Results 56 distinguished protein peaks in total were detected( P <0. 05 ),four of which were used to build a diagnostic model with the most significant differen(P <10-8 )protein of 5 480. 49 as the primary root node, and the diagnostic model differentiated the patients with GCA from the healthy people with a sensitivity of 95. 05% and specificity of 95. 76% in the blinded sample set. The protein whose M/Z peak was 3 820. 87 , was found to differentiate the patients with lymphatic metastasis from the ones without metastasis; the sensitivity and specificity was 84. 4% and 82. 1% respectively. Conclusion SELDI-TOF-MS technique can be used to establish a GCA diagnostic model with high sensitivity and specificity, and can be used in screening the proteins which may indicate lymph nodes metastasis and provide new method for prognosis of GCA.关键词
表面增强激光解析电离飞行时间质谱技术/血清蛋白指纹图谱/贲门癌/诊断模型Key words
SELDI-TOF-MS/serum protein fingerprints/gastric cardia adenocarcinoma/diagnostic model分类
社会科学引用本文复制引用
靳小可,杨瑞红,郭素堂,张旭东,胡春松..SELDI-TOF-MS技术在贲门癌诊断中的初步研究[J].安徽医科大学学报,2012,47(9):1103-1107,5.基金项目
山西省留学基金项目(编号:200477) （编号:200477）
