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Spatial Tissue Proteomics Quantifies Inter- and Intratumor Heterogeneity in Hepatocellular Carcinoma (HCC)

The interpatient variability of tumor proteomes has been investigated on a large scale but many tumors display also intratumoral heterogeneity regarding morphological and genetic features. It remains largely unknown to what extent the local proteome of tumors intrinsically differs. Here, we used hep...

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Autores principales: Buczak, Katarzyna, Ori, Alessandro, Kirkpatrick, Joanna M., Holzer, Kerstin, Dauch, Daniel, Roessler, Stephanie, Endris, Volker, Lasitschka, Felix, Parca, Luca, Schmidt, Alexander, Zender, Lars, Schirmacher, Peter, Krijgsveld, Jeroen, Singer, Stephan, Beck, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The American Society for Biochemistry and Molecular Biology 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880102/
https://www.ncbi.nlm.nih.gov/pubmed/29363612
http://dx.doi.org/10.1074/mcp.RA117.000189
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author Buczak, Katarzyna
Ori, Alessandro
Kirkpatrick, Joanna M.
Holzer, Kerstin
Dauch, Daniel
Roessler, Stephanie
Endris, Volker
Lasitschka, Felix
Parca, Luca
Schmidt, Alexander
Zender, Lars
Schirmacher, Peter
Krijgsveld, Jeroen
Singer, Stephan
Beck, Martin
author_facet Buczak, Katarzyna
Ori, Alessandro
Kirkpatrick, Joanna M.
Holzer, Kerstin
Dauch, Daniel
Roessler, Stephanie
Endris, Volker
Lasitschka, Felix
Parca, Luca
Schmidt, Alexander
Zender, Lars
Schirmacher, Peter
Krijgsveld, Jeroen
Singer, Stephan
Beck, Martin
author_sort Buczak, Katarzyna
collection PubMed
description The interpatient variability of tumor proteomes has been investigated on a large scale but many tumors display also intratumoral heterogeneity regarding morphological and genetic features. It remains largely unknown to what extent the local proteome of tumors intrinsically differs. Here, we used hepatocellular carcinoma as a model system to quantify both inter- and intratumor heterogeneity across human patient specimens with spatial resolution. We defined proteomic features that distinguish neoplastic from the directly adjacent nonneoplastic tissue, such as decreased abundance of NADH dehydrogenase complex I. We then demonstrated the existence of intratumoral variations in protein abundance that re-occur across different patient samples, and affect clinically relevant proteins, even in the absence of obvious morphological differences or genetic alterations. Our work demonstrates the suitability and the benefits of using mass spectrometry-based proteomics to analyze diagnostic tumor specimens with spatial resolution. Data are available via ProteomeXchange with identifier PXD007052.
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spelling pubmed-58801022018-04-04 Spatial Tissue Proteomics Quantifies Inter- and Intratumor Heterogeneity in Hepatocellular Carcinoma (HCC) Buczak, Katarzyna Ori, Alessandro Kirkpatrick, Joanna M. Holzer, Kerstin Dauch, Daniel Roessler, Stephanie Endris, Volker Lasitschka, Felix Parca, Luca Schmidt, Alexander Zender, Lars Schirmacher, Peter Krijgsveld, Jeroen Singer, Stephan Beck, Martin Mol Cell Proteomics Research The interpatient variability of tumor proteomes has been investigated on a large scale but many tumors display also intratumoral heterogeneity regarding morphological and genetic features. It remains largely unknown to what extent the local proteome of tumors intrinsically differs. Here, we used hepatocellular carcinoma as a model system to quantify both inter- and intratumor heterogeneity across human patient specimens with spatial resolution. We defined proteomic features that distinguish neoplastic from the directly adjacent nonneoplastic tissue, such as decreased abundance of NADH dehydrogenase complex I. We then demonstrated the existence of intratumoral variations in protein abundance that re-occur across different patient samples, and affect clinically relevant proteins, even in the absence of obvious morphological differences or genetic alterations. Our work demonstrates the suitability and the benefits of using mass spectrometry-based proteomics to analyze diagnostic tumor specimens with spatial resolution. Data are available via ProteomeXchange with identifier PXD007052. The American Society for Biochemistry and Molecular Biology 2018-04 2018-01-23 /pmc/articles/PMC5880102/ /pubmed/29363612 http://dx.doi.org/10.1074/mcp.RA117.000189 Text en © 2018 by The American Society for Biochemistry and Molecular Biology, Inc. Author's Choice—Final version free via Creative Commons CC-BY license (http://creativecommons.org/licenses/by/4.0) .
spellingShingle Research
Buczak, Katarzyna
Ori, Alessandro
Kirkpatrick, Joanna M.
Holzer, Kerstin
Dauch, Daniel
Roessler, Stephanie
Endris, Volker
Lasitschka, Felix
Parca, Luca
Schmidt, Alexander
Zender, Lars
Schirmacher, Peter
Krijgsveld, Jeroen
Singer, Stephan
Beck, Martin
Spatial Tissue Proteomics Quantifies Inter- and Intratumor Heterogeneity in Hepatocellular Carcinoma (HCC)
title Spatial Tissue Proteomics Quantifies Inter- and Intratumor Heterogeneity in Hepatocellular Carcinoma (HCC)
title_full Spatial Tissue Proteomics Quantifies Inter- and Intratumor Heterogeneity in Hepatocellular Carcinoma (HCC)
title_fullStr Spatial Tissue Proteomics Quantifies Inter- and Intratumor Heterogeneity in Hepatocellular Carcinoma (HCC)
title_full_unstemmed Spatial Tissue Proteomics Quantifies Inter- and Intratumor Heterogeneity in Hepatocellular Carcinoma (HCC)
title_short Spatial Tissue Proteomics Quantifies Inter- and Intratumor Heterogeneity in Hepatocellular Carcinoma (HCC)
title_sort spatial tissue proteomics quantifies inter- and intratumor heterogeneity in hepatocellular carcinoma (hcc)
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5880102/
https://www.ncbi.nlm.nih.gov/pubmed/29363612
http://dx.doi.org/10.1074/mcp.RA117.000189
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