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

Oleh:

Hu, X. ; Zhang, P. ; Shang, A. ; Li, Q.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: The Journal of International Medical Research vol. 40 no. 01 (Jan. 2012), page 95-104.
Topik: 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)

Ketersediaan

Perpustakaan FK Nomor Panggil: J11.K Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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.

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