A Primary Proteomic Analysis of Serum from Patients with Nonfunctioning Pituitary Adenoma

作者：Hu, X.; Zhang, P.; Shang, A.; Li, Q.; Xia, Y.; Jia, G.; Liu, W.; Xiao, X.; He, D.^*

来源：Journal of International Medical Research, 2012, 40(1): 95-104.

DOI：10.1177/147323001204000110

• NON-FUNCTIONING PITUITARY ADENOMA (NFPA)
• TUMOUR BIOMARKER
• SERUM
• DIAGNOSIS
• DECISION TREE CLASSIFICATION
• PROTEOMICS
• PROTEIN CHIP
• SURFACE-ENHANCED LASER DESORPTION/IONIZATION TIME-OF-FLIGHT MASS SPECTROMETRY (SELDI-TOF-MS)

OBJECTIVE: The early diagnosis of nonfunctioning pituitary adenoma (NFPA) is difficult. The objective of this study was to find specific protein biomarkers to aid in the early detection of NFPA. METHODS: Serum samples from 34 patients with NFPA and 34 age- and sex-matched healthy control subjects were analysed using surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) technology. The spectra were generated, protein peak clustering was performed and classification analyses were carried out using a decision tree classification algorithm. RESULTS: Nine differentially expressed serum proteins were identified in the patients with NFPA compared with the control subjects. Both the sensitivity and specificity of the decision tree classification algorithm were 82.4% for NFPA. CONCLUSIONS: Nine new serum protein biomarkers for NFPA were identified. SELDI-TOF-MS coupled with data mining tools might provide a novel approach for the early diagnosis of NFPA and population screening for the disease.

• 出版日期2012-2
• 单位首都医科大学; 北京师范大学