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Plasma Proteome Profiles Associated with Inflammation, Angiogenesis, and Cancer
Tumor development is accompanied by a complex host systemic response, which includes inflammatory and angiogenic reactions. Both tumor-derived and systemic response proteins are detected in plasma from cancer patients. However, given their non-specific nature, systemic response proteins can confound...
Autores principales: | , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3093388/ https://www.ncbi.nlm.nih.gov/pubmed/21589862 http://dx.doi.org/10.1371/journal.pone.0019721 |
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author | Kelly-Spratt, Karen S. Pitteri, Sharon J. Gurley, Kay E. Liggitt, Denny Chin, Alice Kennedy, Jacob Wong, Chee-Hong Zhang, Qing Buson, Tina Busald Wang, Hong Hanash, Samir M. Kemp, Christopher J. |
author_facet | Kelly-Spratt, Karen S. Pitteri, Sharon J. Gurley, Kay E. Liggitt, Denny Chin, Alice Kennedy, Jacob Wong, Chee-Hong Zhang, Qing Buson, Tina Busald Wang, Hong Hanash, Samir M. Kemp, Christopher J. |
author_sort | Kelly-Spratt, Karen S. |
collection | PubMed |
description | Tumor development is accompanied by a complex host systemic response, which includes inflammatory and angiogenic reactions. Both tumor-derived and systemic response proteins are detected in plasma from cancer patients. However, given their non-specific nature, systemic response proteins can confound the detection or diagnosis of neoplasia. Here, we have applied an in-depth quantitative proteomic approach to analyze plasma protein changes in mouse models of subacute irritant-driven inflammation, autoreactive inflammation, and matrix associated angiogenesis and compared results to previously described findings from mouse models of polyoma middle T-driven breast cancer and Pdx1-Cre Kras(G12D) Ink4a/Arf (lox/lox) -induced pancreatic cancer. Among the confounding models, approximately 1/3 of all quantified plasma proteins exhibited a significant change in abundance compared to control mice. Of the proteins that changed in abundance, the majority were unique to each model. Altered proteins included those involved in acute phase response, inflammation, extracellular matrix remodeling, angiogenesis, and TGFβ signaling. Comparison of changes in plasma proteins between the confounder models and the two cancer models revealed proteins that were restricted to the cancer-bearing mice, reflecting the known biology of these tumors. This approach provides a basis for distinguishing between protein changes in plasma that are cancer-related and those that are part of a non-specific host response. |
format | Text |
id | pubmed-3093388 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-30933882011-05-17 Plasma Proteome Profiles Associated with Inflammation, Angiogenesis, and Cancer Kelly-Spratt, Karen S. Pitteri, Sharon J. Gurley, Kay E. Liggitt, Denny Chin, Alice Kennedy, Jacob Wong, Chee-Hong Zhang, Qing Buson, Tina Busald Wang, Hong Hanash, Samir M. Kemp, Christopher J. PLoS One Research Article Tumor development is accompanied by a complex host systemic response, which includes inflammatory and angiogenic reactions. Both tumor-derived and systemic response proteins are detected in plasma from cancer patients. However, given their non-specific nature, systemic response proteins can confound the detection or diagnosis of neoplasia. Here, we have applied an in-depth quantitative proteomic approach to analyze plasma protein changes in mouse models of subacute irritant-driven inflammation, autoreactive inflammation, and matrix associated angiogenesis and compared results to previously described findings from mouse models of polyoma middle T-driven breast cancer and Pdx1-Cre Kras(G12D) Ink4a/Arf (lox/lox) -induced pancreatic cancer. Among the confounding models, approximately 1/3 of all quantified plasma proteins exhibited a significant change in abundance compared to control mice. Of the proteins that changed in abundance, the majority were unique to each model. Altered proteins included those involved in acute phase response, inflammation, extracellular matrix remodeling, angiogenesis, and TGFβ signaling. Comparison of changes in plasma proteins between the confounder models and the two cancer models revealed proteins that were restricted to the cancer-bearing mice, reflecting the known biology of these tumors. This approach provides a basis for distinguishing between protein changes in plasma that are cancer-related and those that are part of a non-specific host response. Public Library of Science 2011-05-12 /pmc/articles/PMC3093388/ /pubmed/21589862 http://dx.doi.org/10.1371/journal.pone.0019721 Text en Kelly-Spratt 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Kelly-Spratt, Karen S. Pitteri, Sharon J. Gurley, Kay E. Liggitt, Denny Chin, Alice Kennedy, Jacob Wong, Chee-Hong Zhang, Qing Buson, Tina Busald Wang, Hong Hanash, Samir M. Kemp, Christopher J. Plasma Proteome Profiles Associated with Inflammation, Angiogenesis, and Cancer |
title | Plasma Proteome Profiles Associated with Inflammation, Angiogenesis, and Cancer |
title_full | Plasma Proteome Profiles Associated with Inflammation, Angiogenesis, and Cancer |
title_fullStr | Plasma Proteome Profiles Associated with Inflammation, Angiogenesis, and Cancer |
title_full_unstemmed | Plasma Proteome Profiles Associated with Inflammation, Angiogenesis, and Cancer |
title_short | Plasma Proteome Profiles Associated with Inflammation, Angiogenesis, and Cancer |
title_sort | plasma proteome profiles associated with inflammation, angiogenesis, and cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3093388/ https://www.ncbi.nlm.nih.gov/pubmed/21589862 http://dx.doi.org/10.1371/journal.pone.0019721 |
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