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Breast cancer diagnosis by analysis of serum N-glycans using MALDI-TOF mass spectroscopy
Blood and serum N-glycans can be used as markers for cancer diagnosis, as alterations in protein glycosylation are associated with cancer pathogenesis and progression. We aimed to develop a platform for breast cancer (BrC) diagnosis based on serum N-glycan profiles using MALDI-TOF mass spectroscopy....
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144955/ https://www.ncbi.nlm.nih.gov/pubmed/32271809 http://dx.doi.org/10.1371/journal.pone.0231004 |
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author | Lee, Sae Byul Bose, Shambhunath Ahn, Sei Hyun Son, Byung Ho Ko, Beom Seok Kim, Hee Jeong Chung, Il Yong Kim, Jisun Lee, Woochang Ko, Myung-Su Lee, Kyungsoo Chang, Suhwan Park, Hyoung Soon Lee, Jong Won Kim, Dong-Chan |
author_facet | Lee, Sae Byul Bose, Shambhunath Ahn, Sei Hyun Son, Byung Ho Ko, Beom Seok Kim, Hee Jeong Chung, Il Yong Kim, Jisun Lee, Woochang Ko, Myung-Su Lee, Kyungsoo Chang, Suhwan Park, Hyoung Soon Lee, Jong Won Kim, Dong-Chan |
author_sort | Lee, Sae Byul |
collection | PubMed |
description | Blood and serum N-glycans can be used as markers for cancer diagnosis, as alterations in protein glycosylation are associated with cancer pathogenesis and progression. We aimed to develop a platform for breast cancer (BrC) diagnosis based on serum N-glycan profiles using MALDI-TOF mass spectroscopy. Serum N-glycans from BrC patients and healthy volunteers were evaluated using NosQuest’s software “NosIDsys.” BrC-associated “NosID” N-glycan biomarkers were selected based on abundance and NosIDsys analysis, and their diagnostic potential was determined using NosIDsys and receiver operating characteristic curves. Results showed an efficient pattern recognition of invasive ductal carcinoma patients, with very high diagnostic performance [area under the curve (AUC): 0.93 and 95% confidence interval (CI): 0.917–0.947]. We achieved effective stage-specific differentiation of BrC patients from healthy controls with 82.3% specificity, 84.1% sensitivity, and 82.8% accuracy for stage 1 BrC and recognized hormone receptor-2 and lymph node invasion subtypes based on N-glycan profiles. Our novel technique supplements conventional diagnostic strategies for BrC detection and can be developed as an independent platform for BrC screening. |
format | Online Article Text |
id | pubmed-7144955 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-71449552020-04-10 Breast cancer diagnosis by analysis of serum N-glycans using MALDI-TOF mass spectroscopy Lee, Sae Byul Bose, Shambhunath Ahn, Sei Hyun Son, Byung Ho Ko, Beom Seok Kim, Hee Jeong Chung, Il Yong Kim, Jisun Lee, Woochang Ko, Myung-Su Lee, Kyungsoo Chang, Suhwan Park, Hyoung Soon Lee, Jong Won Kim, Dong-Chan PLoS One Research Article Blood and serum N-glycans can be used as markers for cancer diagnosis, as alterations in protein glycosylation are associated with cancer pathogenesis and progression. We aimed to develop a platform for breast cancer (BrC) diagnosis based on serum N-glycan profiles using MALDI-TOF mass spectroscopy. Serum N-glycans from BrC patients and healthy volunteers were evaluated using NosQuest’s software “NosIDsys.” BrC-associated “NosID” N-glycan biomarkers were selected based on abundance and NosIDsys analysis, and their diagnostic potential was determined using NosIDsys and receiver operating characteristic curves. Results showed an efficient pattern recognition of invasive ductal carcinoma patients, with very high diagnostic performance [area under the curve (AUC): 0.93 and 95% confidence interval (CI): 0.917–0.947]. We achieved effective stage-specific differentiation of BrC patients from healthy controls with 82.3% specificity, 84.1% sensitivity, and 82.8% accuracy for stage 1 BrC and recognized hormone receptor-2 and lymph node invasion subtypes based on N-glycan profiles. Our novel technique supplements conventional diagnostic strategies for BrC detection and can be developed as an independent platform for BrC screening. Public Library of Science 2020-04-09 /pmc/articles/PMC7144955/ /pubmed/32271809 http://dx.doi.org/10.1371/journal.pone.0231004 Text en © 2020 Lee et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Lee, Sae Byul Bose, Shambhunath Ahn, Sei Hyun Son, Byung Ho Ko, Beom Seok Kim, Hee Jeong Chung, Il Yong Kim, Jisun Lee, Woochang Ko, Myung-Su Lee, Kyungsoo Chang, Suhwan Park, Hyoung Soon Lee, Jong Won Kim, Dong-Chan Breast cancer diagnosis by analysis of serum N-glycans using MALDI-TOF mass spectroscopy |
title | Breast cancer diagnosis by analysis of serum N-glycans using MALDI-TOF mass spectroscopy |
title_full | Breast cancer diagnosis by analysis of serum N-glycans using MALDI-TOF mass spectroscopy |
title_fullStr | Breast cancer diagnosis by analysis of serum N-glycans using MALDI-TOF mass spectroscopy |
title_full_unstemmed | Breast cancer diagnosis by analysis of serum N-glycans using MALDI-TOF mass spectroscopy |
title_short | Breast cancer diagnosis by analysis of serum N-glycans using MALDI-TOF mass spectroscopy |
title_sort | breast cancer diagnosis by analysis of serum n-glycans using maldi-tof mass spectroscopy |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144955/ https://www.ncbi.nlm.nih.gov/pubmed/32271809 http://dx.doi.org/10.1371/journal.pone.0231004 |
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