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Beyond the snapshot: optimizing prognostication and prediction by moving from fixed to functional multidimensional cancer pathology
The role of pathology in patient management has evolved over time from the retrospective review of cells, tissue, and disease (‘what happened’) to a prospective outlook (‘what will happen’). Examination of a static, two‐dimensional hematoxylin and eosin (H&E)‐stained tissue slide has traditional...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324156/ https://www.ncbi.nlm.nih.gov/pubmed/35438188 http://dx.doi.org/10.1002/path.5915 |
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author | Kramer, CJH Vreeswijk, MPG Thijssen, B Bosse, T Wesseling, J |
author_facet | Kramer, CJH Vreeswijk, MPG Thijssen, B Bosse, T Wesseling, J |
author_sort | Kramer, CJH |
collection | PubMed |
description | The role of pathology in patient management has evolved over time from the retrospective review of cells, tissue, and disease (‘what happened’) to a prospective outlook (‘what will happen’). Examination of a static, two‐dimensional hematoxylin and eosin (H&E)‐stained tissue slide has traditionally been the pathologist's primary task, but novel ancillary techniques enabled by technological breakthroughs have supported pathologists in their increasing ability to predict disease status and behaviour. Nevertheless, the informational limits of 2D, fixed tissue are now being reached and technological innovation is urgently needed to ensure that our understanding of disease entities continues to support improved individualized treatment options. Here we review pioneering work currently underway in the field of cancer pathology that has the potential to capture information beyond the current basic snapshot. A selection of exciting new technologies is discussed that promise to facilitate integration of the functional and multidimensional (space and time) information needed to optimize the prognostic and predictive value of cancer pathology. Learning how to analyse, interpret, and apply the wealth of data acquired by these new approaches will challenge the knowledge and skills of the pathology community. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. |
format | Online Article Text |
id | pubmed-9324156 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley & Sons, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-93241562022-07-30 Beyond the snapshot: optimizing prognostication and prediction by moving from fixed to functional multidimensional cancer pathology Kramer, CJH Vreeswijk, MPG Thijssen, B Bosse, T Wesseling, J J Pathol Invited Reviews The role of pathology in patient management has evolved over time from the retrospective review of cells, tissue, and disease (‘what happened’) to a prospective outlook (‘what will happen’). Examination of a static, two‐dimensional hematoxylin and eosin (H&E)‐stained tissue slide has traditionally been the pathologist's primary task, but novel ancillary techniques enabled by technological breakthroughs have supported pathologists in their increasing ability to predict disease status and behaviour. Nevertheless, the informational limits of 2D, fixed tissue are now being reached and technological innovation is urgently needed to ensure that our understanding of disease entities continues to support improved individualized treatment options. Here we review pioneering work currently underway in the field of cancer pathology that has the potential to capture information beyond the current basic snapshot. A selection of exciting new technologies is discussed that promise to facilitate integration of the functional and multidimensional (space and time) information needed to optimize the prognostic and predictive value of cancer pathology. Learning how to analyse, interpret, and apply the wealth of data acquired by these new approaches will challenge the knowledge and skills of the pathology community. © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. John Wiley & Sons, Ltd 2022-05-23 2022-07 /pmc/articles/PMC9324156/ /pubmed/35438188 http://dx.doi.org/10.1002/path.5915 Text en © 2022 The Authors. The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Invited Reviews Kramer, CJH Vreeswijk, MPG Thijssen, B Bosse, T Wesseling, J Beyond the snapshot: optimizing prognostication and prediction by moving from fixed to functional multidimensional cancer pathology |
title | Beyond the snapshot: optimizing prognostication and prediction by moving from fixed to functional multidimensional cancer pathology |
title_full | Beyond the snapshot: optimizing prognostication and prediction by moving from fixed to functional multidimensional cancer pathology |
title_fullStr | Beyond the snapshot: optimizing prognostication and prediction by moving from fixed to functional multidimensional cancer pathology |
title_full_unstemmed | Beyond the snapshot: optimizing prognostication and prediction by moving from fixed to functional multidimensional cancer pathology |
title_short | Beyond the snapshot: optimizing prognostication and prediction by moving from fixed to functional multidimensional cancer pathology |
title_sort | beyond the snapshot: optimizing prognostication and prediction by moving from fixed to functional multidimensional cancer pathology |
topic | Invited Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9324156/ https://www.ncbi.nlm.nih.gov/pubmed/35438188 http://dx.doi.org/10.1002/path.5915 |
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