Endometrial cancer: molecular classification and future treatments

The treatment for endometrial cancer is rapidly evolving with the development of molecular analysis and novel strategies. Surgical resection, cytotoxic chemotherapy, endocrine or hormonal treatment, and radiation have been the staples of treatment for decades. However, precision based approaches for...

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Detalles Bibliográficos
Autores principales: Corr, Bradley, Cosgrove, Casey, Spinosa, Daniel, Guntupalli, Saketh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978763/
https://www.ncbi.nlm.nih.gov/pubmed/36936577
http://dx.doi.org/10.1136/bmjmed-2022-000152
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author Corr, Bradley
Cosgrove, Casey
Spinosa, Daniel
Guntupalli, Saketh
author_facet Corr, Bradley
Cosgrove, Casey
Spinosa, Daniel
Guntupalli, Saketh
author_sort Corr, Bradley
collection PubMed
description The treatment for endometrial cancer is rapidly evolving with the development of molecular analysis and novel strategies. Surgical resection, cytotoxic chemotherapy, endocrine or hormonal treatment, and radiation have been the staples of treatment for decades. However, precision based approaches for tumours are rapidly becoming a part of these strategies. Biomarker driven treatments are now a part of primary and recurrent treatment algorithms. This review aims to describe the current state of molecular analysis and treatment for endometrial cancer as well as to elucidate potential approaches for the near future.
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spelling pubmed-99787632023-03-16 Endometrial cancer: molecular classification and future treatments Corr, Bradley Cosgrove, Casey Spinosa, Daniel Guntupalli, Saketh BMJ Med Review The treatment for endometrial cancer is rapidly evolving with the development of molecular analysis and novel strategies. Surgical resection, cytotoxic chemotherapy, endocrine or hormonal treatment, and radiation have been the staples of treatment for decades. However, precision based approaches for tumours are rapidly becoming a part of these strategies. Biomarker driven treatments are now a part of primary and recurrent treatment algorithms. This review aims to describe the current state of molecular analysis and treatment for endometrial cancer as well as to elucidate potential approaches for the near future. BMJ Publishing Group 2022-10-31 /pmc/articles/PMC9978763/ /pubmed/36936577 http://dx.doi.org/10.1136/bmjmed-2022-000152 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Review
Corr, Bradley
Cosgrove, Casey
Spinosa, Daniel
Guntupalli, Saketh
Endometrial cancer: molecular classification and future treatments
title Endometrial cancer: molecular classification and future treatments
title_full Endometrial cancer: molecular classification and future treatments
title_fullStr Endometrial cancer: molecular classification and future treatments
title_full_unstemmed Endometrial cancer: molecular classification and future treatments
title_short Endometrial cancer: molecular classification and future treatments
title_sort endometrial cancer: molecular classification and future treatments
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9978763/
https://www.ncbi.nlm.nih.gov/pubmed/36936577
http://dx.doi.org/10.1136/bmjmed-2022-000152
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AT spinosadaniel endometrialcancermolecularclassificationandfuturetreatments
AT guntupallisaketh endometrialcancermolecularclassificationandfuturetreatments

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