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Predictive factor for the response to adjuvant therapy with emphasis in breast cancer
One of the major challenges of early-stage breast cancer is to select the adjuvant therapy that ensures the most benefits and the least harm for the patient. The definition of accurate predictive factors is therefore of paramount importance. So far the choice of adjuvant therapy has been based on th...
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2001
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC138701/ https://www.ncbi.nlm.nih.gov/pubmed/11737886 http://dx.doi.org/10.1186/bcr323 |
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author | Munster, Pamela N Norton, Larry |
author_facet | Munster, Pamela N Norton, Larry |
author_sort | Munster, Pamela N |
collection | PubMed |
description | One of the major challenges of early-stage breast cancer is to select the adjuvant therapy that ensures the most benefits and the least harm for the patient. The definition of accurate predictive factors is therefore of paramount importance. So far the choice of adjuvant therapy has been based on the number of affected lymph nodes and the hormone receptor status of the patient. This paper evaluates the use of other tumor-related markers as predictive factors for adjuvant therapy. These include HER2, p53 and Bcl-2, cathepsin B, p27, proliferating cell nuclear antigen (PCNA), cyclin D, Ki-67, and vascular endothelial growth factor (VEGF). |
format | Text |
id | pubmed-138701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2001 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-1387012003-02-27 Predictive factor for the response to adjuvant therapy with emphasis in breast cancer Munster, Pamela N Norton, Larry Breast Cancer Res Commentary One of the major challenges of early-stage breast cancer is to select the adjuvant therapy that ensures the most benefits and the least harm for the patient. The definition of accurate predictive factors is therefore of paramount importance. So far the choice of adjuvant therapy has been based on the number of affected lymph nodes and the hormone receptor status of the patient. This paper evaluates the use of other tumor-related markers as predictive factors for adjuvant therapy. These include HER2, p53 and Bcl-2, cathepsin B, p27, proliferating cell nuclear antigen (PCNA), cyclin D, Ki-67, and vascular endothelial growth factor (VEGF). BioMed Central 2001 2001-10-01 /pmc/articles/PMC138701/ /pubmed/11737886 http://dx.doi.org/10.1186/bcr323 Text en Copyright © 2001 2001 BioMed Central Ltd |
spellingShingle | Commentary Munster, Pamela N Norton, Larry Predictive factor for the response to adjuvant therapy with emphasis in breast cancer |
title | Predictive factor for the response to adjuvant therapy with emphasis in breast cancer |
title_full | Predictive factor for the response to adjuvant therapy with emphasis in breast cancer |
title_fullStr | Predictive factor for the response to adjuvant therapy with emphasis in breast cancer |
title_full_unstemmed | Predictive factor for the response to adjuvant therapy with emphasis in breast cancer |
title_short | Predictive factor for the response to adjuvant therapy with emphasis in breast cancer |
title_sort | predictive factor for the response to adjuvant therapy with emphasis in breast cancer |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC138701/ https://www.ncbi.nlm.nih.gov/pubmed/11737886 http://dx.doi.org/10.1186/bcr323 |
work_keys_str_mv | AT munsterpamelan predictivefactorfortheresponsetoadjuvanttherapywithemphasisinbreastcancer AT nortonlarry predictivefactorfortheresponsetoadjuvanttherapywithemphasisinbreastcancer |