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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....

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
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.
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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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