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Molecular classification of urothelial carcinoma: global mRNA classification versus tumour‐cell phenotype classification
Global mRNA expression analysis is efficient for phenotypic profiling of tumours, and has been used to define molecular subtypes for almost every major tumour type. A key limitation is that most tumours are communities of both tumour and non‐tumour cells. This problem is particularly pertinent for a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Ltd
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413843/ https://www.ncbi.nlm.nih.gov/pubmed/28195647 http://dx.doi.org/10.1002/path.4886 |
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author | Sjödahl, Gottfrid Eriksson, Pontus Liedberg, Fredrik Höglund, Mattias |
author_facet | Sjödahl, Gottfrid Eriksson, Pontus Liedberg, Fredrik Höglund, Mattias |
author_sort | Sjödahl, Gottfrid |
collection | PubMed |
description | Global mRNA expression analysis is efficient for phenotypic profiling of tumours, and has been used to define molecular subtypes for almost every major tumour type. A key limitation is that most tumours are communities of both tumour and non‐tumour cells. This problem is particularly pertinent for analysis of advanced invasive tumours, which are known to induce major changes and responses in both the tumour and the surrounding tissue. To identify bladder cancer tumour‐cell phenotypes and compare classification by tumour‐cell phenotype with classification by global gene expression analysis, we analysed 307 advanced bladder cancers (cystectomized) both by genome gene expression analysis and by immunohistochemistry with antibodies for 28 proteins. According to systematic analysis of gene and protein expression data, focusing on key molecular processes, we describe five tumour‐cell phenotypes of advanced urothelial carcinoma: urothelial‐like, genomically unstable, basal/SCC‐like, mesenchymal‐like, and small‐cell/neuroendocrine‐like. We provide molecular pathological definitions for each subtype. Tumours expressing urothelial differentiation factors show inconsistent and abnormal protein expression of terminal differentiation markers, suggesting pseudo‐differentiation. Cancers with different tumour‐cell phenotypes may co‐cluster (converge), and cases with identical tumour‐cell phenotypes may cluster apart (diverge), in global mRNA analyses. This divergence/convergence suggests that broad global commonalities related to the invasive process may exist between muscle‐invasive tumours regardless of specific tumour‐cell phenotype. Hence, there is a systematic disagreement in subtype classification determined by global mRNA profiling and by immunohistochemical profiling at the tumour‐cell level. We suggest that a combination of molecular pathology (tumour‐cell phenotype) and global mRNA profiling (context) is required for adequate subtype classification of muscle‐invasive bladder cancer. © 2017 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland. |
format | Online Article Text |
id | pubmed-5413843 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | John Wiley & Sons, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-54138432017-05-19 Molecular classification of urothelial carcinoma: global mRNA classification versus tumour‐cell phenotype classification Sjödahl, Gottfrid Eriksson, Pontus Liedberg, Fredrik Höglund, Mattias J Pathol Original Papers Global mRNA expression analysis is efficient for phenotypic profiling of tumours, and has been used to define molecular subtypes for almost every major tumour type. A key limitation is that most tumours are communities of both tumour and non‐tumour cells. This problem is particularly pertinent for analysis of advanced invasive tumours, which are known to induce major changes and responses in both the tumour and the surrounding tissue. To identify bladder cancer tumour‐cell phenotypes and compare classification by tumour‐cell phenotype with classification by global gene expression analysis, we analysed 307 advanced bladder cancers (cystectomized) both by genome gene expression analysis and by immunohistochemistry with antibodies for 28 proteins. According to systematic analysis of gene and protein expression data, focusing on key molecular processes, we describe five tumour‐cell phenotypes of advanced urothelial carcinoma: urothelial‐like, genomically unstable, basal/SCC‐like, mesenchymal‐like, and small‐cell/neuroendocrine‐like. We provide molecular pathological definitions for each subtype. Tumours expressing urothelial differentiation factors show inconsistent and abnormal protein expression of terminal differentiation markers, suggesting pseudo‐differentiation. Cancers with different tumour‐cell phenotypes may co‐cluster (converge), and cases with identical tumour‐cell phenotypes may cluster apart (diverge), in global mRNA analyses. This divergence/convergence suggests that broad global commonalities related to the invasive process may exist between muscle‐invasive tumours regardless of specific tumour‐cell phenotype. Hence, there is a systematic disagreement in subtype classification determined by global mRNA profiling and by immunohistochemical profiling at the tumour‐cell level. We suggest that a combination of molecular pathology (tumour‐cell phenotype) and global mRNA profiling (context) is required for adequate subtype classification of muscle‐invasive bladder cancer. © 2017 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland. John Wiley & Sons, Ltd 2017-03-28 2017-05 /pmc/articles/PMC5413843/ /pubmed/28195647 http://dx.doi.org/10.1002/path.4886 Text en © 2017 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of Pathological Society of Great Britain and Ireland. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Papers Sjödahl, Gottfrid Eriksson, Pontus Liedberg, Fredrik Höglund, Mattias Molecular classification of urothelial carcinoma: global mRNA classification versus tumour‐cell phenotype classification |
title | Molecular classification of urothelial carcinoma: global mRNA classification versus tumour‐cell phenotype classification |
title_full | Molecular classification of urothelial carcinoma: global mRNA classification versus tumour‐cell phenotype classification |
title_fullStr | Molecular classification of urothelial carcinoma: global mRNA classification versus tumour‐cell phenotype classification |
title_full_unstemmed | Molecular classification of urothelial carcinoma: global mRNA classification versus tumour‐cell phenotype classification |
title_short | Molecular classification of urothelial carcinoma: global mRNA classification versus tumour‐cell phenotype classification |
title_sort | molecular classification of urothelial carcinoma: global mrna classification versus tumour‐cell phenotype classification |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5413843/ https://www.ncbi.nlm.nih.gov/pubmed/28195647 http://dx.doi.org/10.1002/path.4886 |
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