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A Modern Approach to Endometrial Carcinoma: Will Molecular Classification Improve Precision Medicine in the Future?

SIMPLE SUMMARY: The scientific community widely agrees that molecular classification will be key to endometrial carcinoma therapeutic strategies in the future. Retrospective analyses of large endometrial carcinoma patient cohorts gave rise to a new understanding of one of the most relevant gynecolog...

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Autores principales: Marnitz, Simone, Walter, Till, Schömig-Markiefka, Birgid, Engler, Tobias, Kommoss, Stefan, Brucker, Sara Yvonne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564776/
https://www.ncbi.nlm.nih.gov/pubmed/32927671
http://dx.doi.org/10.3390/cancers12092577
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author Marnitz, Simone
Walter, Till
Schömig-Markiefka, Birgid
Engler, Tobias
Kommoss, Stefan
Brucker, Sara Yvonne
author_facet Marnitz, Simone
Walter, Till
Schömig-Markiefka, Birgid
Engler, Tobias
Kommoss, Stefan
Brucker, Sara Yvonne
author_sort Marnitz, Simone
collection PubMed
description SIMPLE SUMMARY: The scientific community widely agrees that molecular classification will be key to endometrial carcinoma therapeutic strategies in the future. Retrospective analyses of large endometrial carcinoma patient cohorts gave rise to a new understanding of one of the most relevant gynecologic malignancies. Potentially replacing the current type I and type II terminology, four molecular subtypes have been established, each of them reflecting underlying molecular aberrations and distinct clinical behavior. Future research will have to focus on how to integrate these new findings into clinical practice with the ultimate goal to drive personalized endometrial carcinoma patient care forward. ABSTRACT: Endometrial cancer has been histologically classified as either an estrogen-dependent cancer with a favorable outcome or an estrogen-independent cancer with a worse prognosis. These parameters, along with the clinical attributions, have been the basis for risk stratification. Recent molecular and histopathological findings have suggested a more complex approach to risk stratification. Findings from the Cancer Genome Atlas Research Network established four distinctive genomic groups: ultramutated, hypermutated, copy-number low and copy-number high prognostic subtypes. Subsequently, more molecular and histopathologic classifiers were evaluated for their prognostic and predictive value. The impact of molecular classification is evident and will be recognized by the upcoming WHO classification. Further research is needed to give rise to a new era of molecular-based endometrial carcinoma patient care.
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spelling pubmed-75647762020-10-26 A Modern Approach to Endometrial Carcinoma: Will Molecular Classification Improve Precision Medicine in the Future? Marnitz, Simone Walter, Till Schömig-Markiefka, Birgid Engler, Tobias Kommoss, Stefan Brucker, Sara Yvonne Cancers (Basel) Perspective SIMPLE SUMMARY: The scientific community widely agrees that molecular classification will be key to endometrial carcinoma therapeutic strategies in the future. Retrospective analyses of large endometrial carcinoma patient cohorts gave rise to a new understanding of one of the most relevant gynecologic malignancies. Potentially replacing the current type I and type II terminology, four molecular subtypes have been established, each of them reflecting underlying molecular aberrations and distinct clinical behavior. Future research will have to focus on how to integrate these new findings into clinical practice with the ultimate goal to drive personalized endometrial carcinoma patient care forward. ABSTRACT: Endometrial cancer has been histologically classified as either an estrogen-dependent cancer with a favorable outcome or an estrogen-independent cancer with a worse prognosis. These parameters, along with the clinical attributions, have been the basis for risk stratification. Recent molecular and histopathological findings have suggested a more complex approach to risk stratification. Findings from the Cancer Genome Atlas Research Network established four distinctive genomic groups: ultramutated, hypermutated, copy-number low and copy-number high prognostic subtypes. Subsequently, more molecular and histopathologic classifiers were evaluated for their prognostic and predictive value. The impact of molecular classification is evident and will be recognized by the upcoming WHO classification. Further research is needed to give rise to a new era of molecular-based endometrial carcinoma patient care. MDPI 2020-09-10 /pmc/articles/PMC7564776/ /pubmed/32927671 http://dx.doi.org/10.3390/cancers12092577 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Perspective
Marnitz, Simone
Walter, Till
Schömig-Markiefka, Birgid
Engler, Tobias
Kommoss, Stefan
Brucker, Sara Yvonne
A Modern Approach to Endometrial Carcinoma: Will Molecular Classification Improve Precision Medicine in the Future?
title A Modern Approach to Endometrial Carcinoma: Will Molecular Classification Improve Precision Medicine in the Future?
title_full A Modern Approach to Endometrial Carcinoma: Will Molecular Classification Improve Precision Medicine in the Future?
title_fullStr A Modern Approach to Endometrial Carcinoma: Will Molecular Classification Improve Precision Medicine in the Future?
title_full_unstemmed A Modern Approach to Endometrial Carcinoma: Will Molecular Classification Improve Precision Medicine in the Future?
title_short A Modern Approach to Endometrial Carcinoma: Will Molecular Classification Improve Precision Medicine in the Future?
title_sort modern approach to endometrial carcinoma: will molecular classification improve precision medicine in the future?
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7564776/
https://www.ncbi.nlm.nih.gov/pubmed/32927671
http://dx.doi.org/10.3390/cancers12092577
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