OBJECTIVEApplication of matrix assisted laser desorption ionization time of flight mass spectrometry enhancement (MALDI-TOF-MS) combined with WCX nanometer magnetic bead technique, screening of the serum biomarkers in pituitary adenoma, to establish a serum protein fingerprint classification decision tree.

METHODSAnalyse the serum samples of 40 cases of pituitary adenoma and 60 cases of healthy adult and find the different protein peaks, then to establish the diagnosis model and the classification decision tree of pituitary adenomas.

RESULTSA total of 42 differences in protein peaks were identified in the experimental and control group (P < 0.01). The diagnosis model of pituitary adenomas was established by three protein peaks (3382.0, 4601.9, 9191.2). The model could screen the pituitary adenoma out of the normal population. The sensitivity was 90.00% and the specificity was 88.30%. By the double blind experimental validation, the model could diagnose the pituitary adenoma and the sensitivity was 88%, the specificity was 83.30%.

CONCLUSIONSignificantly different protein peaks can be screened out between pituitary adenoma cases and healthy controls using MALDI-TOF-MS combined with WCX technique, and these protein peaks may be used as a pituitary adenoma detection, follow-up indicator.