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Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers
It remains unclear to what extent tumor heterogeneity impacts on protein biomarker discovery. Here, we quantified proteome intra-tissue heterogeneity (ITH) based on a multi-region analysis of prostate tissues using pressure cycling technology and Sequential Windowed Acquisition of all THeoretical fr...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Life Science Alliance LLC
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078179/ https://www.ncbi.nlm.nih.gov/pubmed/30090875 http://dx.doi.org/10.26508/lsa.201800042 |
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author | Guo, Tiannan Li, Li Zhong, Qing Rupp, Niels J Charmpi, Konstantina Wong, Christine E Wagner, Ulrich Rueschoff, Jan H Jochum, Wolfram Fankhauser, Christian Daniel Saba, Karim Poyet, Cedric Wild, Peter J Aebersold, Ruedi Beyer, Andreas |
author_facet | Guo, Tiannan Li, Li Zhong, Qing Rupp, Niels J Charmpi, Konstantina Wong, Christine E Wagner, Ulrich Rueschoff, Jan H Jochum, Wolfram Fankhauser, Christian Daniel Saba, Karim Poyet, Cedric Wild, Peter J Aebersold, Ruedi Beyer, Andreas |
author_sort | Guo, Tiannan |
collection | PubMed |
description | It remains unclear to what extent tumor heterogeneity impacts on protein biomarker discovery. Here, we quantified proteome intra-tissue heterogeneity (ITH) based on a multi-region analysis of prostate tissues using pressure cycling technology and Sequential Windowed Acquisition of all THeoretical fragment ion mass spectrometry. We quantified 6,873 proteins and analyzed the ITH of 3,700 proteins. The level of ITH varied depending on proteins and tissue types. Benign tissues exhibited more complex ITH patterns than malignant tissues. Spatial variability of 10 prostate biomarkers was validated by immunohistochemistry in an independent cohort (n = 83) using tissue microarrays. Prostate-specific antigen was preferentially variable in benign prostatic hyperplasia, whereas growth/differentiation factor 15 substantially varied in prostate adenocarcinomas. Furthermore, we found that DNA repair pathways exhibited a high degree of variability in tumorous tissues, which may contribute to the genetic heterogeneity of tumors. This study conceptually adds a new perspective to protein biomarker discovery: it suggests that recent technological progress should be exploited to quantify and account for spatial proteome variation to complement biomarker identification and utilization. |
format | Online Article Text |
id | pubmed-6078179 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Life Science Alliance LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-60781792018-08-06 Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers Guo, Tiannan Li, Li Zhong, Qing Rupp, Niels J Charmpi, Konstantina Wong, Christine E Wagner, Ulrich Rueschoff, Jan H Jochum, Wolfram Fankhauser, Christian Daniel Saba, Karim Poyet, Cedric Wild, Peter J Aebersold, Ruedi Beyer, Andreas Life Sci Alliance Resources It remains unclear to what extent tumor heterogeneity impacts on protein biomarker discovery. Here, we quantified proteome intra-tissue heterogeneity (ITH) based on a multi-region analysis of prostate tissues using pressure cycling technology and Sequential Windowed Acquisition of all THeoretical fragment ion mass spectrometry. We quantified 6,873 proteins and analyzed the ITH of 3,700 proteins. The level of ITH varied depending on proteins and tissue types. Benign tissues exhibited more complex ITH patterns than malignant tissues. Spatial variability of 10 prostate biomarkers was validated by immunohistochemistry in an independent cohort (n = 83) using tissue microarrays. Prostate-specific antigen was preferentially variable in benign prostatic hyperplasia, whereas growth/differentiation factor 15 substantially varied in prostate adenocarcinomas. Furthermore, we found that DNA repair pathways exhibited a high degree of variability in tumorous tissues, which may contribute to the genetic heterogeneity of tumors. This study conceptually adds a new perspective to protein biomarker discovery: it suggests that recent technological progress should be exploited to quantify and account for spatial proteome variation to complement biomarker identification and utilization. Life Science Alliance LLC 2018-05-29 /pmc/articles/PMC6078179/ /pubmed/30090875 http://dx.doi.org/10.26508/lsa.201800042 Text en © 2018 Guo et al. https://creativecommons.org/licenses/by/4.0/This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Resources Guo, Tiannan Li, Li Zhong, Qing Rupp, Niels J Charmpi, Konstantina Wong, Christine E Wagner, Ulrich Rueschoff, Jan H Jochum, Wolfram Fankhauser, Christian Daniel Saba, Karim Poyet, Cedric Wild, Peter J Aebersold, Ruedi Beyer, Andreas Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers |
title | Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers |
title_full | Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers |
title_fullStr | Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers |
title_full_unstemmed | Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers |
title_short | Multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers |
title_sort | multi-region proteome analysis quantifies spatial heterogeneity of prostate tissue biomarkers |
topic | Resources |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6078179/ https://www.ncbi.nlm.nih.gov/pubmed/30090875 http://dx.doi.org/10.26508/lsa.201800042 |
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