Division of Breast Surgery, Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, Republic of Korea.
R&D Center, NOSQUEST Inc., 660, Daewangpangyo-ro, Bundang-gu, Seongnam-si, Gyeonggi-do, 13494, Republic of Korea.
Sci Rep. 2020 Nov 5;10(1):19136. doi: 10.1038/s41598-020-76195-y.
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS)-based serum N-glycan analysis has gained acknowledgment for the diagnosis of breast cancer in recent years. In this study, the possibilities of expanding its application for breast cancer management and surveillance were discovered and evaluated. First, a novel MALDI-TOF platform, IDsys RT, was confirmed to be effective for breast cancer analysis, showing a maximum area under the curve of 0.91. Multiple N-glycan markers were identified and validated using this process, and they were found to be applicable for differentiating recurring breast cancer samples from healthy control or ordinary breast cancer samples. Recurrence samples were especially distinct from non-recurrence samples when N-glycan signatures were sampled in multiple time points and monitored via MALDI-TOF, throughout the therapy. These results suggested the feasibility of MALDI-TOF-based N-glycan analysis for tracking the molecular signatures of breast cancer and predicting recurrence.
基质辅助激光解吸电离飞行时间质谱(MALDI-TOF MS)技术基础上的血清 N-糖链分析近年来已被认可用于乳腺癌的诊断。在本研究中,发现并评估了将其应用于乳腺癌管理和监测的可能性。首先,我们确认了一种新型的 MALDI-TOF 平台 IDsys RT 可有效用于乳腺癌分析,其曲线下面积最大为 0.91。在此过程中,我们鉴定和验证了多个 N-糖链标志物,它们适用于区分复发性乳腺癌样本与健康对照或普通乳腺癌样本。当通过 MALDI-TOF 多次采样并监测 N-糖链特征时,复发样本与非复发样本之间的差异尤为明显,贯穿整个治疗过程。这些结果表明,基于 MALDI-TOF 的 N-糖链分析用于跟踪乳腺癌的分子特征和预测复发具有可行性。