Li Guo-dong, Cai Zheng-dong, Ma Xiao-jun, Sun Meng-xiong, Li Jian
Department of Orthopedics, Affiliated No.10 People's Hospital, Tongji University, Shanghai 200072, China.
Zhonghua Yi Xue Za Zhi. 2012 Jan 17;92(3):192-6.
To apply an integrated omics analysis so as to discover potential biomarkers for an early diagnosis of osteosarcoma.
Gene chip and surface-enhanced laser desorption/ionization-time of flight-mass spectra (SELDI-TOF-MS) were employed to screen the marker genes and serum markers of osteosarcoma respectively. The associations of potential biomarkers from the SELDI data and microarray analysis were further inferred by Link-test to identify stable and specific diagnostic biomarkers.
A total of 653 pre-biomarkers were found in osteosarcoma cells. And six differentially expressed protein peaks with strong statistical significances were detected by SELDI-TOF-MS in the patient's serum samples. Thirteen potential biomarkers for an early diagnosis of osteosarcoma were screened by Link-test.
As an effective method of identifying osteosarcoma biomarkers, the integrated omics analysis may serve as a monitoring platform for an early diagnosis of osteosarcoma.
应用综合组学分析以发现骨肉瘤早期诊断的潜在生物标志物。
分别采用基因芯片和表面增强激光解吸电离飞行时间质谱（SELDI-TOF-MS）技术筛选骨肉瘤的标志物基因和血清标志物。通过Link检验进一步推断SELDI数据和微阵列分析中潜在生物标志物的关联，以鉴定稳定且特异的诊断生物标志物。
在骨肉瘤细胞中总共发现了653个预生物标志物。通过SELDI-TOF-MS在患者血清样本中检测到六个具有强统计学意义的差异表达蛋白峰。通过Link检验筛选出13个骨肉瘤早期诊断的潜在生物标志物。
作为一种识别骨肉瘤生物标志物的有效方法，综合组学分析可作为骨肉瘤早期诊断的监测平台。
