首页> 外文期刊>International Journal of Cancer =: Journal International du Cancer >Serum antiglycan antibody detection of nonmucinous ovarian cancers by using a printed glycan array.
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Serum antiglycan antibody detection of nonmucinous ovarian cancers by using a printed glycan array.

机译:通过使用印刷的聚糖阵列检测非粘液性卵巢癌的血清抗聚糖抗体。

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Epithelial ovarian cancer has the highest mortality rate among gynecological cancers. Altered glycosylation is associated with oncogenic transformation producing tumor-associated carbohydrate antigens. We investigated the potential of natural occurring antiglycan antibodies in the diagnosis of ovarian cancer by using printed glycan array. Antiglycan antibodies bound to 203 chemically synthesized printed glycans were detected via biotin-streptavidin fluorescence system in serum of women with normal operative findings (healthy controls; n = 24) and nonmucinous borderline or ovarian cancer of various FIGO stages (n = 33). Data were validated measuring blood group associated di-, tri and tetrasaccharide antigens on known ABO blood groups. Antiglycan antibodies demonstrated high reproducibility (r(c) > 0.9). Cluster analysis identified repetitive patterns of specific core carbohydrate structures: 11 N-linked glycans, 3 O-linked glycans and 2 glycosphingolipids. Biomarker detection revealed 24 glycans including P(1) (Galalpha1-4Galbeta1-4GlcNAcbeta; p < 0.001) significantly discriminating between (low-) malignant tumors and healthy controls. Comparable sensitivity and specificity with tumor marker CA125 was achieved by a panel of multivariate selected and linear combined antiglycan antibody signals (79.2 and 84.8%, respectively). Our findings demonstrate the potential of glycan arrays in the development of a new generation of biomarkers for ovarian cancer.
机译:上皮性卵巢癌在妇科癌症中死亡率最高。糖基化改变与致癌转化相关,产生肿瘤相关的碳水化合物抗原。我们通过使用印刷的聚糖阵列研究了天然抗聚糖抗体在卵巢癌诊断中的潜力。通过生物素-链霉亲和素荧光系统,在具有正常手术发现(健康对照; n = 24)和FIGO各个阶段的非粘液性交界性或卵巢癌(n = 33)的女性血清中检测到与203种化学合成的印刷聚糖结合的抗聚糖抗体。通过验证已知ABO血型上与血型相关的二糖,三糖和四糖抗原来验证数据。抗聚糖抗体显示出高再现性(r(c)> 0.9)。聚类分析确定了特定核心碳水化合物结构的重复模式:11个N-连接的聚糖,3个O-连接的聚糖和2个糖鞘脂。生物标志物检测显示24种聚糖,包括P(1)(Galalpha1-4Galbeta1-4GlcNAcbeta; p <0.001),可明显区分(低)恶性肿瘤和健康对照。与肿瘤标志物CA125的可比敏感性和特异性通过一组多变量选择和线性组合的抗聚糖抗体信号获得(分别为79.2和84.8%)。我们的发现证明了聚糖阵列在开发新一代卵巢癌生物标记物中的潜力。

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