首页    期刊浏览 2024年11月23日 星期六
登录注册

文章基本信息

  • 标题:Application of desorption electrospray ionization mass spectrometry imaging in breast cancer margin analysis
  • 本地全文:下载
  • 作者:David Calligaris ; Diana Caragacianu ; Xiaohui Liu
  • 期刊名称:Proceedings of the National Academy of Sciences
  • 印刷版ISSN:0027-8424
  • 电子版ISSN:1091-6490
  • 出版年度:2014
  • 卷号:111
  • 期号:42
  • 页码:15184-15189
  • DOI:10.1073/pnas.1408129111
  • 语种:English
  • 出版社:The National Academy of Sciences of the United States of America
  • 摘要:SignificanceThis study is the first demonstration, to our knowledge, of the application of desorption electrospray ionization mass spectrometry imaging (DESI-MSI) for discrimination of breast cancer and delineation of tumor margins. Using DESI-MSI, it is possible to discriminate between cancerous and adjacent normal tissue on the basis of the detection and specific spatial distributions of different lipid species. This study proves the feasibility of classifying cancerous and normal breast tissues using ambient ionization MSI. It will allow the surgeon to access to this information in real time so as to make accurate intraoperative decisions quickly. It will result in improved cosmesis and decrease the need for multiple operations for margin reexcision. Distinguishing tumor from normal glandular breast tissue is an important step in breast-conserving surgery. Because this distinction can be challenging in the operative setting, up to 40% of patients require an additional operation when traditional approaches are used. Here, we present a proof-of-concept study to determine the feasibility of using desorption electrospray ionization mass spectrometry imaging (DESI-MSI) for identifying and differentiating tumor from normal breast tissue. We show that tumor margins can be identified using the spatial distributions and varying intensities of different lipids. Several fatty acids, including oleic acid, were more abundant in the cancerous tissue than in normal tissues. The cancer margins delineated by the molecular images from DESI-MSI were consistent with those margins obtained from histological staining. Our findings prove the feasibility of classifying cancerous and normal breast tissues using ambient ionization MSI. The results suggest that an MS-based method could be developed for the rapid intraoperative detection of residual cancer tissue during breast-conserving surgery.
  • 关键词:metabolites ; FT-ICR MS ; molecular pathology ; intrasurgical diagnosis
国家哲学社会科学文献中心版权所有