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Recent perspectives of breast cancer prognosis and predictive factors
Breast cancer is the most common type of cancer affecting women worldwide. Although there have been great improvements in treating the disease and at present between 80 and 90% of the women survive ≥5-years after their primary diagnosis. However, due to the high incidence of the disease >450,000...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5104147/ https://www.ncbi.nlm.nih.gov/pubmed/27900052 http://dx.doi.org/10.3892/ol.2016.5149 |
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author | Cao, Su-Sheng Lu, Cun-Tao |
author_facet | Cao, Su-Sheng Lu, Cun-Tao |
author_sort | Cao, Su-Sheng |
collection | PubMed |
description | Breast cancer is the most common type of cancer affecting women worldwide. Although there have been great improvements in treating the disease and at present between 80 and 90% of the women survive ≥5-years after their primary diagnosis. However, due to the high incidence of the disease >450,000 women succumb to breast cancer annually worldwide. The majority of improvements in breast cancer survival may be explained through better knowledge of the development and progression of the disease. Consequently, the treatments employed have become more effective. Furthermore, continuous efforts are being made for the identification of novel and efficient biomarkers for the timely prognosis of breast cancer. The present review aims to examine recent perspectives of breast cancer prognosis and the predictive factors involved. |
format | Online Article Text |
id | pubmed-5104147 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-51041472016-11-29 Recent perspectives of breast cancer prognosis and predictive factors Cao, Su-Sheng Lu, Cun-Tao Oncol Lett Review Breast cancer is the most common type of cancer affecting women worldwide. Although there have been great improvements in treating the disease and at present between 80 and 90% of the women survive ≥5-years after their primary diagnosis. However, due to the high incidence of the disease >450,000 women succumb to breast cancer annually worldwide. The majority of improvements in breast cancer survival may be explained through better knowledge of the development and progression of the disease. Consequently, the treatments employed have become more effective. Furthermore, continuous efforts are being made for the identification of novel and efficient biomarkers for the timely prognosis of breast cancer. The present review aims to examine recent perspectives of breast cancer prognosis and the predictive factors involved. D.A. Spandidos 2016-11 2016-09-19 /pmc/articles/PMC5104147/ /pubmed/27900052 http://dx.doi.org/10.3892/ol.2016.5149 Text en Copyright: © Cao et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Review Cao, Su-Sheng Lu, Cun-Tao Recent perspectives of breast cancer prognosis and predictive factors |
title | Recent perspectives of breast cancer prognosis and predictive factors |
title_full | Recent perspectives of breast cancer prognosis and predictive factors |
title_fullStr | Recent perspectives of breast cancer prognosis and predictive factors |
title_full_unstemmed | Recent perspectives of breast cancer prognosis and predictive factors |
title_short | Recent perspectives of breast cancer prognosis and predictive factors |
title_sort | recent perspectives of breast cancer prognosis and predictive factors |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5104147/ https://www.ncbi.nlm.nih.gov/pubmed/27900052 http://dx.doi.org/10.3892/ol.2016.5149 |
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