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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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.
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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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