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Individualised proteome profiling of human endometrial tumours improves detection of new prognostic markers

BACKGROUND: The individual features of tumours are often disregarded in cohort studies. As these features may represent a source for individualised cancer treatment, it is important to develop a novel approach for their assessment. METHODS: We used proteomics, systems biology, and immunohistochemist...

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Autores principales: Attarha, S, Andersson, S, Mints, M, Souchelnytskyi, S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3738137/
https://www.ncbi.nlm.nih.gov/pubmed/23839494
http://dx.doi.org/10.1038/bjc.2013.359
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author Attarha, S
Andersson, S
Mints, M
Souchelnytskyi, S
author_facet Attarha, S
Andersson, S
Mints, M
Souchelnytskyi, S
author_sort Attarha, S
collection PubMed
description BACKGROUND: The individual features of tumours are often disregarded in cohort studies. As these features may represent a source for individualised cancer treatment, it is important to develop a novel approach for their assessment. METHODS: We used proteomics, systems biology, and immunohistochemistry to explore protein expression in human endometrial tumours, to identify deregulated regulatory mechanisms, and to validate observed changes in protein expression using tissue microarrays. RESULTS: Compared with the evaluation of common tumour features, the evaluation of individual tumour features gave a more comprehensive and detailed overview of the regulatory processes in endometrial tumours. Systemic analysis of the individual proteome profiles showed that endometrial tumours employed different proteins to regulate similar functions. Comparison of our data with publicly available data sets of molecular profiling of human endometrial tumours confirmed that individual tumour features are not simply irrelevant individual variations, but are indeed important in endometrial tumorigenesis. Validation through tissue microarray investigation of MST1 and PKN1 proteins confirmed the usefulness of this approach, and suggested that MST1 and PKN1 may be considered as predictive biomarkers of endometrial cancer. CONCLUSION: We show that individualised profiling of endometrial tumours may deliver better insights into a tumour's physiology, thereby giving a better prediction of tumour development. Individual tumour features may also be used to tailor cancer treatment.
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spelling pubmed-37381372014-08-06 Individualised proteome profiling of human endometrial tumours improves detection of new prognostic markers Attarha, S Andersson, S Mints, M Souchelnytskyi, S Br J Cancer Molecular Diagnostics BACKGROUND: The individual features of tumours are often disregarded in cohort studies. As these features may represent a source for individualised cancer treatment, it is important to develop a novel approach for their assessment. METHODS: We used proteomics, systems biology, and immunohistochemistry to explore protein expression in human endometrial tumours, to identify deregulated regulatory mechanisms, and to validate observed changes in protein expression using tissue microarrays. RESULTS: Compared with the evaluation of common tumour features, the evaluation of individual tumour features gave a more comprehensive and detailed overview of the regulatory processes in endometrial tumours. Systemic analysis of the individual proteome profiles showed that endometrial tumours employed different proteins to regulate similar functions. Comparison of our data with publicly available data sets of molecular profiling of human endometrial tumours confirmed that individual tumour features are not simply irrelevant individual variations, but are indeed important in endometrial tumorigenesis. Validation through tissue microarray investigation of MST1 and PKN1 proteins confirmed the usefulness of this approach, and suggested that MST1 and PKN1 may be considered as predictive biomarkers of endometrial cancer. CONCLUSION: We show that individualised profiling of endometrial tumours may deliver better insights into a tumour's physiology, thereby giving a better prediction of tumour development. Individual tumour features may also be used to tailor cancer treatment. Nature Publishing Group 2013-08-06 2013-07-09 /pmc/articles/PMC3738137/ /pubmed/23839494 http://dx.doi.org/10.1038/bjc.2013.359 Text en Copyright © 2013 Cancer Research UK http://creativecommons.org/licenses/by-nc-sa/3.0/ From twelve months after its original publication, this work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/
spellingShingle Molecular Diagnostics
Attarha, S
Andersson, S
Mints, M
Souchelnytskyi, S
Individualised proteome profiling of human endometrial tumours improves detection of new prognostic markers
title Individualised proteome profiling of human endometrial tumours improves detection of new prognostic markers
title_full Individualised proteome profiling of human endometrial tumours improves detection of new prognostic markers
title_fullStr Individualised proteome profiling of human endometrial tumours improves detection of new prognostic markers
title_full_unstemmed Individualised proteome profiling of human endometrial tumours improves detection of new prognostic markers
title_short Individualised proteome profiling of human endometrial tumours improves detection of new prognostic markers
title_sort individualised proteome profiling of human endometrial tumours improves detection of new prognostic markers
topic Molecular Diagnostics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3738137/
https://www.ncbi.nlm.nih.gov/pubmed/23839494
http://dx.doi.org/10.1038/bjc.2013.359
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