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

Buczak, K., Ori, A., Kirkpatrick, J. M., Holzer, K., Dauch, D., Roessler, S., et al. (2018). Spatial Tissue Proteomics Quantifies Inter- And Intratumor Heterogeneity in Hepatocellular Carcinoma (HCC). Molecular and Cellular Proteomics, 17(4), 810-825. doi:10.1074/mcp.RA117.000189.

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 Creators:
Buczak, Katarzyna1, Author
Ori, Alessandro1, Author
Kirkpatrick, Joanna M.1, Author
Holzer, Kerstin1, Author
Dauch, Daniel1, Author
Roessler, Stephanie1, Author
Endris, Volker1, Author
Lasitschka, Felix1, Author
Parca, Luca1, Author
Schmidt, Alexander1, Author
Zender, Lars1, Author
Schirmacher, Peter1, Author
Krijgsveld, Jeroen1, Author
Singer, Stephan1, Author
Beck, Martin2, Author                 
Affiliations:
1External Organizations, ou_persistent22              
2European Molecular Biology Laboratory (EMBL), Heidelberg, Germany, ou_persistent22              

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Free keywords: Adult, Aged, Aged, 80 and over, Animals, Carcinoma, Hepatocellular, Female, Humans, Liver, Liver Neoplasms, Male, Mass Spectrometry, Mice, Middle Aged, Neoplasm Proteins, Proteomics
 Abstract: 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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Language(s): eng - English
 Dates: 2018-01-192017-07-122018-01-232018-04-01
 Publication Status: Issued
 Pages: 16
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1074/mcp.RA117.000189
BibTex Citekey: buczak_spatial_2018
 Degree: -

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Title: Molecular and Cellular Proteomics
Source Genre: Journal
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Publ. Info: Bethesda, MD : American Society for Biochemistry and Molecular Biology
Pages: - Volume / Issue: 17 (4) Sequence Number: - Start / End Page: 810 - 825 Identifier: ISSN: 1535-9476
CoNE: https://pure.mpg.de/cone/journals/resource/111035577487002