Discrimination Analysis of Mass Spectrometry Proteomics for Lung Adenocarcinoma Detection

Abstract

Objective: To screen for the potential protein biomarkers in serum for the diagnosis of lung adenocarcinoma using proteomic fingerprint technology. Methods: Proteomic fingerprint technology combining magnetic beads (SED) with Matrixassisted laser desorption/ionization time-offlight mass spectrometry (MALDI-TOF MS) was used to profile and compare the serum proteins from 138 patients with lung adenocarcinoma and 120 healthy blood donors. Results: A total of 38 discriminating m/z peaks were identified that were related to lung adenocarcinoma (P<0.01). Four differently expressed potential biomarkers were identified with the relative molecular weights of 11644.1Da, 6298.7Da, 5840.4Da, and 3975.2Da, respectively. Among them 2 proteins with m/z 6298.7Da, 3975.2Da decreased, and 2 proteins with m/z 5840.4Da, 11644.1Da increased in lung adenocarcinoma. This diagnostic model can distinguish lung adenocarcinoma from healthy controls with a sensitivity of 92.85% and a specificity of 91.25%. Conclusions: Biomarkers for lung adenocarcinoma could be discovered in serum by MALDI-TOF-MS combining the use of SED.