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How to Predict Metastasis in Luminal Breast Cancer? Current Solutions and Future Prospects
Breast cancer metastasis is the main cause of breast cancer mortality. Luminal breast cancer represents the majority of breast cancer cases and, despite relatively good prognosis, its heterogeneity creates problems with a proper stratification of patients and correct identification of the group with...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665153/ https://www.ncbi.nlm.nih.gov/pubmed/33182512 http://dx.doi.org/10.3390/ijms21218415 |
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author | Tabor, Sylwia Szostakowska-Rodzos, Małgorzata Fabisiewicz, Anna Grzybowska, Ewa A. |
author_facet | Tabor, Sylwia Szostakowska-Rodzos, Małgorzata Fabisiewicz, Anna Grzybowska, Ewa A. |
author_sort | Tabor, Sylwia |
collection | PubMed |
description | Breast cancer metastasis is the main cause of breast cancer mortality. Luminal breast cancer represents the majority of breast cancer cases and, despite relatively good prognosis, its heterogeneity creates problems with a proper stratification of patients and correct identification of the group with a high risk of metastatic relapse. Current prognostic tools are based on the analysis of the primary tumor and, despite their undisputed power of prediction, they might be insufficient to foresee the relapse in an accurate and precise manner, especially if the relapse occurs after a long period of dormancy, which is very common in luminal breast cancer. New approaches tend to rely on body fluid analyses, which have the advantage of being non-invasive and versatile and may be repeated and used for monitoring the disease in the long run. In this review we describe the current, newly-developed, and only-just-discovered methods which are or may become useful in the assessment of the probability of the relapse. |
format | Online Article Text |
id | pubmed-7665153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-76651532020-11-14 How to Predict Metastasis in Luminal Breast Cancer? Current Solutions and Future Prospects Tabor, Sylwia Szostakowska-Rodzos, Małgorzata Fabisiewicz, Anna Grzybowska, Ewa A. Int J Mol Sci Review Breast cancer metastasis is the main cause of breast cancer mortality. Luminal breast cancer represents the majority of breast cancer cases and, despite relatively good prognosis, its heterogeneity creates problems with a proper stratification of patients and correct identification of the group with a high risk of metastatic relapse. Current prognostic tools are based on the analysis of the primary tumor and, despite their undisputed power of prediction, they might be insufficient to foresee the relapse in an accurate and precise manner, especially if the relapse occurs after a long period of dormancy, which is very common in luminal breast cancer. New approaches tend to rely on body fluid analyses, which have the advantage of being non-invasive and versatile and may be repeated and used for monitoring the disease in the long run. In this review we describe the current, newly-developed, and only-just-discovered methods which are or may become useful in the assessment of the probability of the relapse. MDPI 2020-11-09 /pmc/articles/PMC7665153/ /pubmed/33182512 http://dx.doi.org/10.3390/ijms21218415 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 | Review Tabor, Sylwia Szostakowska-Rodzos, Małgorzata Fabisiewicz, Anna Grzybowska, Ewa A. How to Predict Metastasis in Luminal Breast Cancer? Current Solutions and Future Prospects |
title | How to Predict Metastasis in Luminal Breast Cancer? Current Solutions and Future Prospects |
title_full | How to Predict Metastasis in Luminal Breast Cancer? Current Solutions and Future Prospects |
title_fullStr | How to Predict Metastasis in Luminal Breast Cancer? Current Solutions and Future Prospects |
title_full_unstemmed | How to Predict Metastasis in Luminal Breast Cancer? Current Solutions and Future Prospects |
title_short | How to Predict Metastasis in Luminal Breast Cancer? Current Solutions and Future Prospects |
title_sort | how to predict metastasis in luminal breast cancer? current solutions and future prospects |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665153/ https://www.ncbi.nlm.nih.gov/pubmed/33182512 http://dx.doi.org/10.3390/ijms21218415 |
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