Shi Xiang-Yu, Li Qing, Wei Wen-Bin, Tao Li-Ming
Department of Ophthalmology, the Second Hospital Affiliated to Anhui Medical University, Hefei 230601, Anhui Province, China.
Beijing Tongren Eye Center, Beijing Tongren Hospital, Capital Medical University, Beijing Ophthalmology & Visual Science Key Laboratory, Beijing 100730, China.
Int J Ophthalmol. 2017 Jun 18;10(6):939-947. doi: 10.18240/ijo.2017.06.17. eCollection 2017.
To find new biomarkers for uveal melanoma (UM) by analyzing the serum peptidome profile.
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.
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.
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.
通过分析血清肽组图谱寻找葡萄膜黑色素瘤(UM)的新生物标志物。
分析UM患者手术前后的蛋白质组谱,并与健康对照者的进行比较。使用磁亲和珠捕获血清肽,并用基质辅助激光解吸/电离飞行时间(MALDI-TOF)质谱仪编制血清肽谱。
UM患者与对照组之间有49种肽差异表达,其中33种肽在患者组中强度较高,16种肽在对照组中强度较高。基于这些潜在标志物的联合使用,平均分子量为1467和9289.0 Da的肽一起提供了高灵敏度(83.3%)、特异性(100%)和准确率(93.0%),以区分黑色素瘤患者与健康对照者。术后6个月时,术前差异表达的许多肽的水平在患者与对照组之间不再有统计学差异。纤维蛋白原α链前体被鉴定为潜在的UM标志物。
我们已经表明,一种便捷快速的蛋白质组学技术,即亲和珠分离和MALDI-TOF分析结合生物信息学软件,有助于鉴定UM的新型生物标志物。