Use of CA15‑3 for screening breast cancer: An antibody‑lectin sandwich assay for detecting glycosylation of CA15‑3 in sera

CA15-3 在乳腺癌筛查中的应用:抗体凝集素夹心试验检测血清中 CA15-3 的糖基化

阅读:12
作者:Jae Woong Choi, Byung-In Moon, Jun Woo Lee, Hyoung Jin Kim, Yingji Jin, Hong-Jin Kim

Abstract

Elevated serum CA15‑3 assessed by enzyme‑linked immunosorbent assay (ELISA) has been considered a diagnostic marker of breast cancer. However, accumulating data indicate that the current ELISA system for detecting CA15‑3, which targets the peptide backbone of CA15‑3, is not sufficiently sensitive to detect early or localized breast cancer. In the present study, we designed an antibody‑lectin sandwich assay detecting glycosylation of CA15‑3 in patients with breast cancer. Ιmmobilized anti‑CA15‑3 monoclonal antibody captures CA15‑3 in serum, and glycosylation of the CA15‑3 is detected with Concanavalin A (ConA) lectin, which preferentially bind high‑mannose N‑glycans. ConA provided the best signal for detecting serum CA15‑3 among 9 types of lectin, Since CA15‑3 is a heavily glycosylated protein, detecting the glycosylation of CA15‑3 should be a much more sensitive way to assess CA15‑3 than the current ELISA method. Linear responses were obtained in the anti‑CA15‑3 antibody‑ConA sandwich assay when sera were diluted up to 2000‑fold. This dilution factor is comparable with that of the current ELISA system which allows 50‑ to 100‑fold serum dilutions. The glycosylation level of CA15‑3 was found to increase with increasing breast cancer stage in the sandwich assay. The assay system appeared to efficiently discriminate breast cancer stage I (sensitivity: 63%, specificity: 69%), IIA (sensitivity: 77%, specificity: 75%), IIB (sensitivity: 69%, specificity: 86%) and III (sensitivity: 80%, specificity: 65%) from benign breast disease. The antibody‑lectin sandwich assay shows promise as a new prospect for the early detection of breast cancer.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。