Mechref Yehia, Hussein Ahmed, Bekesova Slavka, Pungpapong Vitara, Zhang Min, Dobrolecki Lacey E, Hickey Robert J, Hammoud Zane T, Novotny Milos V
National Center for Glycomics and Glycoproteomics, Department of Chemistry, Indiana University, 800 East Kirkwood Avenue, Bloomington, Indiana 47405, USA.
J Proteome Res. 2009 Jun;8(6):2656-66. doi: 10.1021/pr8008385.
Aberrant glycosylation has been implicated in various types of cancers and changes in glycosylation may be associated with signaling pathways during malignant transformation. Glycomic profiling of blood serum, in which cancer cell proteins or their fragments with altered glycosylation patterns are shed, could reveal the altered glycosylation. We performed glycomic profiling of serum from patients with no known disease (N = 18), patients with high grade dysplasia (HGD, N = 11) and Barrett's esophagus (N = 5), and patients with esophageal adenocarcinoma (EAC, N = 50) in an attempt to delineate distinct differences in glycosylation between these groups. The relative intensities of 98 features were significantly different among the disease onsets; 26 of these correspond to known glycan structures. The changes in the relative intensities of three of the known glycan structures predicted esophageal adenocarcinoma with 94% sensitivity and better than 60% specificity as determined by receiver operating characteristic (ROC) analysis. We have demonstrated that comparative glycomic profiling of EAC reveals a subset of glycans that can be selected as candidate biomarkers. These markers can differentiate disease-free from HGD, disease-free from EAC, and HGD from EAC. The clinical utility of these glycan biomarkers requires further validation.
异常糖基化与多种类型的癌症有关,糖基化变化可能与恶性转化过程中的信号通路相关。血清糖组分析可揭示糖基化的改变,因为血清中含有糖基化模式改变的癌细胞蛋白或其片段。我们对无已知疾病的患者(N = 18)、高级别发育异常(HGD,N = 11)和巴雷特食管(N = 5)患者以及食管腺癌(EAC,N = 50)患者的血清进行了糖组分析,试图描绘这些组之间糖基化的明显差异。在疾病发病阶段中98个特征的相对强度有显著差异;其中26个对应已知的聚糖结构。通过受试者工作特征(ROC)分析确定,三种已知聚糖结构相对强度的变化对食管腺癌的预测敏感性为94%,特异性优于60%。我们已经证明,食管腺癌的比较糖组分析揭示了一组聚糖,可将其选为候选生物标志物。这些标志物可以区分无病与HGD、无病与EAC以及HGD与EAC之间的差异。这些聚糖生物标志物的临床实用性需要进一步验证。