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Plasma proteome of growing tumors
Early detection of cancer is vital for the best chance of successful treatment, but half of all cancers are diagnosed at an advanced stage. A simple and reliable blood screening test applied routinely would therefore address a major unmet medical need. To gain insight into the value of protein bioma...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374562/ https://www.ncbi.nlm.nih.gov/pubmed/37500700 http://dx.doi.org/10.1038/s41598-023-38079-9 |
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author | Gupta, Shashi Westacott, Matthew J. Ayers, Deborah G. Weiss, Sophie J. Whitley, Penn Mueller, Christopher Weaver, Daniel C. Schneider, Daniel J. Karimpour-Fard, Anis Hunter, Lawrence E. Drolet, Daniel W. Janjic, Nebojsa |
author_facet | Gupta, Shashi Westacott, Matthew J. Ayers, Deborah G. Weiss, Sophie J. Whitley, Penn Mueller, Christopher Weaver, Daniel C. Schneider, Daniel J. Karimpour-Fard, Anis Hunter, Lawrence E. Drolet, Daniel W. Janjic, Nebojsa |
author_sort | Gupta, Shashi |
collection | PubMed |
description | Early detection of cancer is vital for the best chance of successful treatment, but half of all cancers are diagnosed at an advanced stage. A simple and reliable blood screening test applied routinely would therefore address a major unmet medical need. To gain insight into the value of protein biomarkers in early detection and stratification of cancer we determined the time course of changes in the plasma proteome of mice carrying transplanted human lung, breast, colon, or ovarian tumors. For protein measurements we used an aptamer-based assay which simultaneously measures ~ 5000 proteins. Along with tumor lineage-specific biomarkers, we also found 15 markers shared among all cancer types that included the energy metabolism enzymes glyceraldehyde-3-phosphate dehydrogenase, glucose-6-phophate isomerase and dihydrolipoyl dehydrogenase as well as several important biomarkers for maintaining protein, lipid, nucleotide, or carbohydrate balance such as tryptophanyl t-RNA synthetase and nucleoside diphosphate kinase. Using significantly altered proteins in the tumor bearing mice, we developed models to stratify tumor types and to estimate the minimum detectable tumor volume. Finally, we identified significantly enriched common and unique biological pathways among the eight tumor cell lines tested. |
format | Online Article Text |
id | pubmed-10374562 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103745622023-07-29 Plasma proteome of growing tumors Gupta, Shashi Westacott, Matthew J. Ayers, Deborah G. Weiss, Sophie J. Whitley, Penn Mueller, Christopher Weaver, Daniel C. Schneider, Daniel J. Karimpour-Fard, Anis Hunter, Lawrence E. Drolet, Daniel W. Janjic, Nebojsa Sci Rep Article Early detection of cancer is vital for the best chance of successful treatment, but half of all cancers are diagnosed at an advanced stage. A simple and reliable blood screening test applied routinely would therefore address a major unmet medical need. To gain insight into the value of protein biomarkers in early detection and stratification of cancer we determined the time course of changes in the plasma proteome of mice carrying transplanted human lung, breast, colon, or ovarian tumors. For protein measurements we used an aptamer-based assay which simultaneously measures ~ 5000 proteins. Along with tumor lineage-specific biomarkers, we also found 15 markers shared among all cancer types that included the energy metabolism enzymes glyceraldehyde-3-phosphate dehydrogenase, glucose-6-phophate isomerase and dihydrolipoyl dehydrogenase as well as several important biomarkers for maintaining protein, lipid, nucleotide, or carbohydrate balance such as tryptophanyl t-RNA synthetase and nucleoside diphosphate kinase. Using significantly altered proteins in the tumor bearing mice, we developed models to stratify tumor types and to estimate the minimum detectable tumor volume. Finally, we identified significantly enriched common and unique biological pathways among the eight tumor cell lines tested. Nature Publishing Group UK 2023-07-27 /pmc/articles/PMC10374562/ /pubmed/37500700 http://dx.doi.org/10.1038/s41598-023-38079-9 Text en © The Author(s) 2023 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 | Article Gupta, Shashi Westacott, Matthew J. Ayers, Deborah G. Weiss, Sophie J. Whitley, Penn Mueller, Christopher Weaver, Daniel C. Schneider, Daniel J. Karimpour-Fard, Anis Hunter, Lawrence E. Drolet, Daniel W. Janjic, Nebojsa Plasma proteome of growing tumors |
title | Plasma proteome of growing tumors |
title_full | Plasma proteome of growing tumors |
title_fullStr | Plasma proteome of growing tumors |
title_full_unstemmed | Plasma proteome of growing tumors |
title_short | Plasma proteome of growing tumors |
title_sort | plasma proteome of growing tumors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374562/ https://www.ncbi.nlm.nih.gov/pubmed/37500700 http://dx.doi.org/10.1038/s41598-023-38079-9 |
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