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Molecular biology of breast cancer metastasis: The use of mathematical models to determine relapse and to predict response to chemotherapy in breast cancer
Breast cancer mortality rates have shown only modest improvemen despite the advent of effective chemotherapeutic agents which have been administered to a large percentage of women with breast cancer. In an effort to improve breast cancer treatment strategies, a variety of mathematical models have be...
Autores principales: | , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2000
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC138666/ https://www.ncbi.nlm.nih.gov/pubmed/11250737 http://dx.doi.org/10.1186/bcr90 |
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author | Clare, Susan E Nakhlis, Faina Panetta, John Carl |
author_facet | Clare, Susan E Nakhlis, Faina Panetta, John Carl |
author_sort | Clare, Susan E |
collection | PubMed |
description | Breast cancer mortality rates have shown only modest improvemen despite the advent of effective chemotherapeutic agents which have been administered to a large percentage of women with breast cancer. In an effort to improve breast cancer treatment strategies, a variety of mathematical models have been developed that describe the natural history of breast cancer and the effects of treatment on the cancer. These models help researchers to develop, quantify, and test various treatment hypotheses quickly and efficiently. The present review discusses several of these models, with a focus on how they have been used to predict the initiation time of metastatic growth, the effect of operative therapy on the growth of metastases, and the optimal administration strategy for chemotherapy. |
format | Text |
id | pubmed-138666 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2000 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-1386662003-02-27 Molecular biology of breast cancer metastasis: The use of mathematical models to determine relapse and to predict response to chemotherapy in breast cancer Clare, Susan E Nakhlis, Faina Panetta, John Carl Breast Cancer Res Review Breast cancer mortality rates have shown only modest improvemen despite the advent of effective chemotherapeutic agents which have been administered to a large percentage of women with breast cancer. In an effort to improve breast cancer treatment strategies, a variety of mathematical models have been developed that describe the natural history of breast cancer and the effects of treatment on the cancer. These models help researchers to develop, quantify, and test various treatment hypotheses quickly and efficiently. The present review discusses several of these models, with a focus on how they have been used to predict the initiation time of metastatic growth, the effect of operative therapy on the growth of metastases, and the optimal administration strategy for chemotherapy. BioMed Central 2000 2000-07-21 /pmc/articles/PMC138666/ /pubmed/11250737 http://dx.doi.org/10.1186/bcr90 Text en Copyright © 2000 Current Science Ltd |
spellingShingle | Review Clare, Susan E Nakhlis, Faina Panetta, John Carl Molecular biology of breast cancer metastasis: The use of mathematical models to determine relapse and to predict response to chemotherapy in breast cancer |
title | Molecular biology of breast cancer metastasis: The use of mathematical models to determine relapse and to predict response to chemotherapy in breast cancer |
title_full | Molecular biology of breast cancer metastasis: The use of mathematical models to determine relapse and to predict response to chemotherapy in breast cancer |
title_fullStr | Molecular biology of breast cancer metastasis: The use of mathematical models to determine relapse and to predict response to chemotherapy in breast cancer |
title_full_unstemmed | Molecular biology of breast cancer metastasis: The use of mathematical models to determine relapse and to predict response to chemotherapy in breast cancer |
title_short | Molecular biology of breast cancer metastasis: The use of mathematical models to determine relapse and to predict response to chemotherapy in breast cancer |
title_sort | molecular biology of breast cancer metastasis: the use of mathematical models to determine relapse and to predict response to chemotherapy in breast cancer |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC138666/ https://www.ncbi.nlm.nih.gov/pubmed/11250737 http://dx.doi.org/10.1186/bcr90 |
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