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Mass Spectrometry-Based Proteomics of Human Milk to Identify Differentially Expressed Proteins in Women with Breast Cancer versus Controls

It is thought that accurate risk assessment and early diagnosis of breast cancer (BC) can help reduce cancer-related mortality. Proteomics analysis of breast milk may provide biomarkers of risk and occult disease. Our group works on the analysis of human milk samples from women with BC and controls...

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Autores principales: Aslebagh, Roshanak, Whitham, Danielle, Channaveerappa, Devika, Mutsengi, Panashe, Pentecost, Brian T., Arcaro, Kathleen F., Darie, Costel C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680319/
https://www.ncbi.nlm.nih.gov/pubmed/36412635
http://dx.doi.org/10.3390/proteomes10040036
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author Aslebagh, Roshanak
Whitham, Danielle
Channaveerappa, Devika
Mutsengi, Panashe
Pentecost, Brian T.
Arcaro, Kathleen F.
Darie, Costel C.
author_facet Aslebagh, Roshanak
Whitham, Danielle
Channaveerappa, Devika
Mutsengi, Panashe
Pentecost, Brian T.
Arcaro, Kathleen F.
Darie, Costel C.
author_sort Aslebagh, Roshanak
collection PubMed
description It is thought that accurate risk assessment and early diagnosis of breast cancer (BC) can help reduce cancer-related mortality. Proteomics analysis of breast milk may provide biomarkers of risk and occult disease. Our group works on the analysis of human milk samples from women with BC and controls to investigate alterations in protein patterns of milk that could be related to BC. In the current study, we used mass spectrometry (MS)-based proteomics analysis of 12 milk samples from donors with BC and matched controls. Specifically, we used one-dimensional (1D)-polyacrylamide gel electrophoresis (PAGE) coupled with nanoliquid chromatography tandem MS (nanoLC-MS/MS), followed by bioinformatics analysis. We confirmed the dysregulation of several proteins identified previously in a different set of milk samples. We also identified additional dysregulations in milk proteins shown to play a role in cancer development, such as Lactadherin isoform A, O-linked N-acetylglucosamine (GlcNAc) transferase, galactosyltransferase, recoverin, perilipin-3 isoform 1, histone-lysine methyltransferase, or clathrin heavy chain. Our results expand our current understanding of using milk as a biological fluid for identification of BC-related dysregulated proteins. Overall, our results also indicate that milk has the potential to be used for BC biomarker discovery, early detection and risk assessment in young, reproductively active women.
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spelling pubmed-96803192022-11-23 Mass Spectrometry-Based Proteomics of Human Milk to Identify Differentially Expressed Proteins in Women with Breast Cancer versus Controls Aslebagh, Roshanak Whitham, Danielle Channaveerappa, Devika Mutsengi, Panashe Pentecost, Brian T. Arcaro, Kathleen F. Darie, Costel C. Proteomes Article It is thought that accurate risk assessment and early diagnosis of breast cancer (BC) can help reduce cancer-related mortality. Proteomics analysis of breast milk may provide biomarkers of risk and occult disease. Our group works on the analysis of human milk samples from women with BC and controls to investigate alterations in protein patterns of milk that could be related to BC. In the current study, we used mass spectrometry (MS)-based proteomics analysis of 12 milk samples from donors with BC and matched controls. Specifically, we used one-dimensional (1D)-polyacrylamide gel electrophoresis (PAGE) coupled with nanoliquid chromatography tandem MS (nanoLC-MS/MS), followed by bioinformatics analysis. We confirmed the dysregulation of several proteins identified previously in a different set of milk samples. We also identified additional dysregulations in milk proteins shown to play a role in cancer development, such as Lactadherin isoform A, O-linked N-acetylglucosamine (GlcNAc) transferase, galactosyltransferase, recoverin, perilipin-3 isoform 1, histone-lysine methyltransferase, or clathrin heavy chain. Our results expand our current understanding of using milk as a biological fluid for identification of BC-related dysregulated proteins. Overall, our results also indicate that milk has the potential to be used for BC biomarker discovery, early detection and risk assessment in young, reproductively active women. MDPI 2022-10-28 /pmc/articles/PMC9680319/ /pubmed/36412635 http://dx.doi.org/10.3390/proteomes10040036 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Aslebagh, Roshanak
Whitham, Danielle
Channaveerappa, Devika
Mutsengi, Panashe
Pentecost, Brian T.
Arcaro, Kathleen F.
Darie, Costel C.
Mass Spectrometry-Based Proteomics of Human Milk to Identify Differentially Expressed Proteins in Women with Breast Cancer versus Controls
title Mass Spectrometry-Based Proteomics of Human Milk to Identify Differentially Expressed Proteins in Women with Breast Cancer versus Controls
title_full Mass Spectrometry-Based Proteomics of Human Milk to Identify Differentially Expressed Proteins in Women with Breast Cancer versus Controls
title_fullStr Mass Spectrometry-Based Proteomics of Human Milk to Identify Differentially Expressed Proteins in Women with Breast Cancer versus Controls
title_full_unstemmed Mass Spectrometry-Based Proteomics of Human Milk to Identify Differentially Expressed Proteins in Women with Breast Cancer versus Controls
title_short Mass Spectrometry-Based Proteomics of Human Milk to Identify Differentially Expressed Proteins in Women with Breast Cancer versus Controls
title_sort mass spectrometry-based proteomics of human milk to identify differentially expressed proteins in women with breast cancer versus controls
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680319/
https://www.ncbi.nlm.nih.gov/pubmed/36412635
http://dx.doi.org/10.3390/proteomes10040036
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