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The Estrogen Receptor Joins Other Cancer Biomarkers as a Predictor of Outcome
Endometrial cancer, the most common gynecologic malignancy in the United States, is on the rise, and survival is worse today than 40 years ago. In order to improve the outcomes, better biomarkers that direct the choice of therapy are urgently needed. In this review, we explore the estrogen receptor...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3816067/ https://www.ncbi.nlm.nih.gov/pubmed/24223042 http://dx.doi.org/10.1155/2013/479541 |
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author | Leslie, Kimberly K. Thiel, Kristina W. Reyes, Henry D. Yang, Shujie Zhang, Yuping Carlson, Matthew J. Kumar, Nirmala S. Dai, Donghai D. |
author_facet | Leslie, Kimberly K. Thiel, Kristina W. Reyes, Henry D. Yang, Shujie Zhang, Yuping Carlson, Matthew J. Kumar, Nirmala S. Dai, Donghai D. |
author_sort | Leslie, Kimberly K. |
collection | PubMed |
description | Endometrial cancer, the most common gynecologic malignancy in the United States, is on the rise, and survival is worse today than 40 years ago. In order to improve the outcomes, better biomarkers that direct the choice of therapy are urgently needed. In this review, we explore the estrogen receptor as the most studied biomarker and the best predictor for response for endometrial cancer reported to date. |
format | Online Article Text |
id | pubmed-3816067 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-38160672013-11-12 The Estrogen Receptor Joins Other Cancer Biomarkers as a Predictor of Outcome Leslie, Kimberly K. Thiel, Kristina W. Reyes, Henry D. Yang, Shujie Zhang, Yuping Carlson, Matthew J. Kumar, Nirmala S. Dai, Donghai D. Obstet Gynecol Int Review Article Endometrial cancer, the most common gynecologic malignancy in the United States, is on the rise, and survival is worse today than 40 years ago. In order to improve the outcomes, better biomarkers that direct the choice of therapy are urgently needed. In this review, we explore the estrogen receptor as the most studied biomarker and the best predictor for response for endometrial cancer reported to date. Hindawi Publishing Corporation 2013 2013-10-07 /pmc/articles/PMC3816067/ /pubmed/24223042 http://dx.doi.org/10.1155/2013/479541 Text en Copyright © 2013 Kimberly K. Leslie et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Leslie, Kimberly K. Thiel, Kristina W. Reyes, Henry D. Yang, Shujie Zhang, Yuping Carlson, Matthew J. Kumar, Nirmala S. Dai, Donghai D. The Estrogen Receptor Joins Other Cancer Biomarkers as a Predictor of Outcome |
title | The Estrogen Receptor Joins Other Cancer Biomarkers as a Predictor of Outcome |
title_full | The Estrogen Receptor Joins Other Cancer Biomarkers as a Predictor of Outcome |
title_fullStr | The Estrogen Receptor Joins Other Cancer Biomarkers as a Predictor of Outcome |
title_full_unstemmed | The Estrogen Receptor Joins Other Cancer Biomarkers as a Predictor of Outcome |
title_short | The Estrogen Receptor Joins Other Cancer Biomarkers as a Predictor of Outcome |
title_sort | estrogen receptor joins other cancer biomarkers as a predictor of outcome |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3816067/ https://www.ncbi.nlm.nih.gov/pubmed/24223042 http://dx.doi.org/10.1155/2013/479541 |
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