Peptidome profiling of human serum of uveal melanoma patients based on magnetic bead fractionation and mass spectrometry

AIM: To find new biomarkers for uveal melanoma (UM) by analyzing the serum peptidome profile. METHODS: Proteomic spectra in patients with UM before and after operation were analyzed and compared with those of healthy controls. Magnetic affinity beads were used to capture serum peptides and matrix-a...

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Bibliographic Details
Main Authors: Xiang-Yu Shi, Qing Li, Wen-Bin Wei, Li-Ming Tao
Format: Article
Language:English
Published: Press of International Journal of Ophthalmology (IJO PRESS) 2017-06-01
Series:International Journal of Ophthalmology
Subjects:
947
Online Access:http://www.ijo.cn/en_publish/2017/6/20170617.pdf
Description
Summary:AIM: To find new biomarkers for uveal melanoma (UM) by analyzing the serum peptidome profile. METHODS: Proteomic spectra in patients with UM before and after operation were analyzed and compared with those of healthy controls. Magnetic affinity beads were used to capture serum peptides and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometer were used to compile serum peptide profiles. RESULTS: A panel of 49 peptides were differentially expressed between UM patients and controls, of which 33 peptides were of higher intensities in patient group and 16 peptides were of higher intensities in control group. Based on combined use of these potential markers, peptides with mean molecular masses of 1467 and 9289.0 Da provide high sensitivity (83.3%), specificity (100%) and accuracy rate (93.0%) together to differentiate melanoma patients from healthy controls. At the time point of 6mo postoperatively, the levels of many peptides differentially expressed before surgery showed no more statistical difference between the patients and the control group. Fibrinogen α-chain precursors were identified as potential UM markers. CONCLUSION: We have shown that a convenient and fast proteomic technique, affinity bead separation and MALDI-TOF analysis combined with bioinformatic software, facilitates the identification of novel biomarkers for UM.
ISSN:2222-3959
2227-4898