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Serum N-glycan profiles differ for various breast cancer subtypes

Breast cancer is the most prevalent cancer in women. Early detection of this disease improves survival and therefore population screenings, based on mammography, are performed. However, the sensitivity of this screening modality is not optimal and new screening methods, such as blood tests, are bein...

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Autores principales: Vreeker, Gerda C. M., Vangangelt, Kiki M. H., Bladergroen, Marco R., Nicolardi, Simone, Mesker, Wilma E., Wuhrer, Manfred, van der Burgt, Yuri E. M, Tollenaar, Rob A. E. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116229/
https://www.ncbi.nlm.nih.gov/pubmed/33877489
http://dx.doi.org/10.1007/s10719-021-10001-3
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author Vreeker, Gerda C. M.
Vangangelt, Kiki M. H.
Bladergroen, Marco R.
Nicolardi, Simone
Mesker, Wilma E.
Wuhrer, Manfred
van der Burgt, Yuri E. M
Tollenaar, Rob A. E. M.
author_facet Vreeker, Gerda C. M.
Vangangelt, Kiki M. H.
Bladergroen, Marco R.
Nicolardi, Simone
Mesker, Wilma E.
Wuhrer, Manfred
van der Burgt, Yuri E. M
Tollenaar, Rob A. E. M.
author_sort Vreeker, Gerda C. M.
collection PubMed
description Breast cancer is the most prevalent cancer in women. Early detection of this disease improves survival and therefore population screenings, based on mammography, are performed. However, the sensitivity of this screening modality is not optimal and new screening methods, such as blood tests, are being explored. Most of the analyses that aim for early detection focus on proteins in the bloodstream. In this study, the biomarker potential of total serum N-glycosylation analysis was explored with regard to detection of breast cancer. In an age-matched case-control setup serum protein N-glycan profiles from 145 breast cancer patients were compared to those from 171 healthy individuals. N-glycans were enzymatically released, chemically derivatized to preserve linkage-specificity of sialic acids and characterized by high resolution mass spectrometry. Logistic regression analysis was used to evaluate associations of specific N-glycan structures as well as N-glycosylation traits with breast cancer. In a case-control comparison three associations were found, namely a lower level of a two triantennary glycans and a higher level of one tetraantennary glycan in cancer patients. Of note, various other N-glycomic signatures that had previously been reported were not replicated in the current cohort. It was further evaluated whether the lack of replication of breast cancer N-glycomic signatures could be partly explained by the heterogenous character of the disease since the studies performed so far were based on cohorts that included diverging subtypes in different numbers. It was found that serum N-glycan profiles differed for the various cancer subtypes that were analyzed in this study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10719-021-10001-3.
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spelling pubmed-81162292021-05-13 Serum N-glycan profiles differ for various breast cancer subtypes Vreeker, Gerda C. M. Vangangelt, Kiki M. H. Bladergroen, Marco R. Nicolardi, Simone Mesker, Wilma E. Wuhrer, Manfred van der Burgt, Yuri E. M Tollenaar, Rob A. E. M. Glycoconj J Original Article Breast cancer is the most prevalent cancer in women. Early detection of this disease improves survival and therefore population screenings, based on mammography, are performed. However, the sensitivity of this screening modality is not optimal and new screening methods, such as blood tests, are being explored. Most of the analyses that aim for early detection focus on proteins in the bloodstream. In this study, the biomarker potential of total serum N-glycosylation analysis was explored with regard to detection of breast cancer. In an age-matched case-control setup serum protein N-glycan profiles from 145 breast cancer patients were compared to those from 171 healthy individuals. N-glycans were enzymatically released, chemically derivatized to preserve linkage-specificity of sialic acids and characterized by high resolution mass spectrometry. Logistic regression analysis was used to evaluate associations of specific N-glycan structures as well as N-glycosylation traits with breast cancer. In a case-control comparison three associations were found, namely a lower level of a two triantennary glycans and a higher level of one tetraantennary glycan in cancer patients. Of note, various other N-glycomic signatures that had previously been reported were not replicated in the current cohort. It was further evaluated whether the lack of replication of breast cancer N-glycomic signatures could be partly explained by the heterogenous character of the disease since the studies performed so far were based on cohorts that included diverging subtypes in different numbers. It was found that serum N-glycan profiles differed for the various cancer subtypes that were analyzed in this study. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10719-021-10001-3. Springer US 2021-04-20 2021 /pmc/articles/PMC8116229/ /pubmed/33877489 http://dx.doi.org/10.1007/s10719-021-10001-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Article
Vreeker, Gerda C. M.
Vangangelt, Kiki M. H.
Bladergroen, Marco R.
Nicolardi, Simone
Mesker, Wilma E.
Wuhrer, Manfred
van der Burgt, Yuri E. M
Tollenaar, Rob A. E. M.
Serum N-glycan profiles differ for various breast cancer subtypes
title Serum N-glycan profiles differ for various breast cancer subtypes
title_full Serum N-glycan profiles differ for various breast cancer subtypes
title_fullStr Serum N-glycan profiles differ for various breast cancer subtypes
title_full_unstemmed Serum N-glycan profiles differ for various breast cancer subtypes
title_short Serum N-glycan profiles differ for various breast cancer subtypes
title_sort serum n-glycan profiles differ for various breast cancer subtypes
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116229/
https://www.ncbi.nlm.nih.gov/pubmed/33877489
http://dx.doi.org/10.1007/s10719-021-10001-3
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