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Potential of MALDI-TOF-based serum N-glycan analysis for the diagnosis and surveillance of breast cancer
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 surve...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644762/ https://www.ncbi.nlm.nih.gov/pubmed/33154535 http://dx.doi.org/10.1038/s41598-020-76195-y |
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author | Lee, Jong Won Lee, Kyungsoo Ahn, Sei Hyun Son, Byung Ho Ko, Beom Seok Kim, Hee Jeong Chung, Il Yong Kim, Jisun Lee, Woochang Ko, Myung-Su Choi, Soojeong Chang, Suhwan Ko, Chung Kon Lee, Sae Byul Kim, Dong-Chan |
author_facet | Lee, Jong Won Lee, Kyungsoo Ahn, Sei Hyun Son, Byung Ho Ko, Beom Seok Kim, Hee Jeong Chung, Il Yong Kim, Jisun Lee, Woochang Ko, Myung-Su Choi, Soojeong Chang, Suhwan Ko, Chung Kon Lee, Sae Byul Kim, Dong-Chan |
author_sort | Lee, Jong Won |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7644762 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-76447622020-11-06 Potential of MALDI-TOF-based serum N-glycan analysis for the diagnosis and surveillance of breast cancer Lee, Jong Won Lee, Kyungsoo Ahn, Sei Hyun Son, Byung Ho Ko, Beom Seok Kim, Hee Jeong Chung, Il Yong Kim, Jisun Lee, Woochang Ko, Myung-Su Choi, Soojeong Chang, Suhwan Ko, Chung Kon Lee, Sae Byul Kim, Dong-Chan Sci Rep Article 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. Nature Publishing Group UK 2020-11-05 /pmc/articles/PMC7644762/ /pubmed/33154535 http://dx.doi.org/10.1038/s41598-020-76195-y Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Lee, Jong Won Lee, Kyungsoo Ahn, Sei Hyun Son, Byung Ho Ko, Beom Seok Kim, Hee Jeong Chung, Il Yong Kim, Jisun Lee, Woochang Ko, Myung-Su Choi, Soojeong Chang, Suhwan Ko, Chung Kon Lee, Sae Byul Kim, Dong-Chan Potential of MALDI-TOF-based serum N-glycan analysis for the diagnosis and surveillance of breast cancer |
title | Potential of MALDI-TOF-based serum N-glycan analysis for the diagnosis and surveillance of breast cancer |
title_full | Potential of MALDI-TOF-based serum N-glycan analysis for the diagnosis and surveillance of breast cancer |
title_fullStr | Potential of MALDI-TOF-based serum N-glycan analysis for the diagnosis and surveillance of breast cancer |
title_full_unstemmed | Potential of MALDI-TOF-based serum N-glycan analysis for the diagnosis and surveillance of breast cancer |
title_short | Potential of MALDI-TOF-based serum N-glycan analysis for the diagnosis and surveillance of breast cancer |
title_sort | potential of maldi-tof-based serum n-glycan analysis for the diagnosis and surveillance of breast cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7644762/ https://www.ncbi.nlm.nih.gov/pubmed/33154535 http://dx.doi.org/10.1038/s41598-020-76195-y |
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