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Quantitative Profiling of Single Formalin Fixed Tumour Sections: proteomics for translational research

Although re-sequencing of gene panels and mRNA expression profiling are now firmly established in clinical laboratories, in-depth proteome analysis has remained a niche technology, better suited for studying model systems rather than challenging materials such as clinical trial samples. To address t...

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Autores principales: Hughes, Christopher S., McConechy, Melissa K., Cochrane, Dawn R., Nazeran, Tayyebeh, Karnezis, Anthony N., Huntsman, David G., Morin, Gregg B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054533/
https://www.ncbi.nlm.nih.gov/pubmed/27713570
http://dx.doi.org/10.1038/srep34949
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author Hughes, Christopher S.
McConechy, Melissa K.
Cochrane, Dawn R.
Nazeran, Tayyebeh
Karnezis, Anthony N.
Huntsman, David G.
Morin, Gregg B.
author_facet Hughes, Christopher S.
McConechy, Melissa K.
Cochrane, Dawn R.
Nazeran, Tayyebeh
Karnezis, Anthony N.
Huntsman, David G.
Morin, Gregg B.
author_sort Hughes, Christopher S.
collection PubMed
description Although re-sequencing of gene panels and mRNA expression profiling are now firmly established in clinical laboratories, in-depth proteome analysis has remained a niche technology, better suited for studying model systems rather than challenging materials such as clinical trial samples. To address this limitation, we have developed a novel and optimized platform called SP3-Clinical Tissue Proteomics (SP3-CTP) for in-depth proteome profiling of practical quantities of tumour tissues, including formalin fixed and paraffin embedded (FFPE). Using single 10 μm scrolls of clinical tumour blocks, we performed in-depth quantitative analyses of individual sections from ovarian tumours covering the high-grade serous, clear cell, and endometrioid histotypes. This examination enabled the generation of a novel high-resolution proteome map of ovarian cancer histotypes from clinical tissues. Comparison of the obtained proteome data with large-scale genome and transcriptome analyses validated the observed proteome biology for previously validated hallmarks of this disease, and also identified novel protein features. A tissue microarray analysis validated cystathionine gamma-lyase (CTH) as a novel clear cell carcinoma feature with potential clinical relevance. In addition to providing a milestone in the understanding of ovarian cancer biology, these results show that in-depth proteomic analysis of clinically annotated FFPE materials can be effectively used as a biomarker discovery tool and perhaps ultimately as a diagnostic approach.
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spelling pubmed-50545332016-10-19 Quantitative Profiling of Single Formalin Fixed Tumour Sections: proteomics for translational research Hughes, Christopher S. McConechy, Melissa K. Cochrane, Dawn R. Nazeran, Tayyebeh Karnezis, Anthony N. Huntsman, David G. Morin, Gregg B. Sci Rep Article Although re-sequencing of gene panels and mRNA expression profiling are now firmly established in clinical laboratories, in-depth proteome analysis has remained a niche technology, better suited for studying model systems rather than challenging materials such as clinical trial samples. To address this limitation, we have developed a novel and optimized platform called SP3-Clinical Tissue Proteomics (SP3-CTP) for in-depth proteome profiling of practical quantities of tumour tissues, including formalin fixed and paraffin embedded (FFPE). Using single 10 μm scrolls of clinical tumour blocks, we performed in-depth quantitative analyses of individual sections from ovarian tumours covering the high-grade serous, clear cell, and endometrioid histotypes. This examination enabled the generation of a novel high-resolution proteome map of ovarian cancer histotypes from clinical tissues. Comparison of the obtained proteome data with large-scale genome and transcriptome analyses validated the observed proteome biology for previously validated hallmarks of this disease, and also identified novel protein features. A tissue microarray analysis validated cystathionine gamma-lyase (CTH) as a novel clear cell carcinoma feature with potential clinical relevance. In addition to providing a milestone in the understanding of ovarian cancer biology, these results show that in-depth proteomic analysis of clinically annotated FFPE materials can be effectively used as a biomarker discovery tool and perhaps ultimately as a diagnostic approach. Nature Publishing Group 2016-10-07 /pmc/articles/PMC5054533/ /pubmed/27713570 http://dx.doi.org/10.1038/srep34949 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Hughes, Christopher S.
McConechy, Melissa K.
Cochrane, Dawn R.
Nazeran, Tayyebeh
Karnezis, Anthony N.
Huntsman, David G.
Morin, Gregg B.
Quantitative Profiling of Single Formalin Fixed Tumour Sections: proteomics for translational research
title Quantitative Profiling of Single Formalin Fixed Tumour Sections: proteomics for translational research
title_full Quantitative Profiling of Single Formalin Fixed Tumour Sections: proteomics for translational research
title_fullStr Quantitative Profiling of Single Formalin Fixed Tumour Sections: proteomics for translational research
title_full_unstemmed Quantitative Profiling of Single Formalin Fixed Tumour Sections: proteomics for translational research
title_short Quantitative Profiling of Single Formalin Fixed Tumour Sections: proteomics for translational research
title_sort quantitative profiling of single formalin fixed tumour sections: proteomics for translational research
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5054533/
https://www.ncbi.nlm.nih.gov/pubmed/27713570
http://dx.doi.org/10.1038/srep34949
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