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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The American Society for Biochemistry and Molecular Biology
2018
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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. |
format | Online Article Text |
id | pubmed-5880102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | The American Society for Biochemistry and Molecular Biology |
record_format | MEDLINE/PubMed |
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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