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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Life Science Alliance LLC 2018
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.
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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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