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A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response
Although the classification of breast carcinomas into molecular or immunohistochemical subtypes has contributed to a better categorization of women into different therapeutic regimens, breast cancer nevertheless still progresses or recurs in a remarkable number of patients. Identifying women who wou...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855839/ https://www.ncbi.nlm.nih.gov/pubmed/29466297 http://dx.doi.org/10.3390/ijms19020617 |
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author | Cardoso, Marcella Regina Santos, Juliana Carvalho Ribeiro, Marcelo Lima Talarico, Maria Cecília Ramiro Viana, Lais Rosa Derchain, Sophie Françoise Mauricette |
author_facet | Cardoso, Marcella Regina Santos, Juliana Carvalho Ribeiro, Marcelo Lima Talarico, Maria Cecília Ramiro Viana, Lais Rosa Derchain, Sophie Françoise Mauricette |
author_sort | Cardoso, Marcella Regina |
collection | PubMed |
description | Although the classification of breast carcinomas into molecular or immunohistochemical subtypes has contributed to a better categorization of women into different therapeutic regimens, breast cancer nevertheless still progresses or recurs in a remarkable number of patients. Identifying women who would benefit from chemotherapy could potentially increase treatment effectiveness, which has important implications for long-term survival. Metabolomic analyses of fluids and tissues from cancer patients improve our knowledge of the reprogramming of metabolic pathways involved in resistance to chemotherapy. This review evaluates how recent metabolomic approaches have contributed to understanding the relationship between breast cancer and the acquisition of resistance. We focus on the advantages and challenges of cancer treatment and the use of new strategies in clinical care, which helps us comprehend drug resistance and predict responses to treatment. |
format | Online Article Text |
id | pubmed-5855839 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58558392018-03-20 A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response Cardoso, Marcella Regina Santos, Juliana Carvalho Ribeiro, Marcelo Lima Talarico, Maria Cecília Ramiro Viana, Lais Rosa Derchain, Sophie Françoise Mauricette Int J Mol Sci Review Although the classification of breast carcinomas into molecular or immunohistochemical subtypes has contributed to a better categorization of women into different therapeutic regimens, breast cancer nevertheless still progresses or recurs in a remarkable number of patients. Identifying women who would benefit from chemotherapy could potentially increase treatment effectiveness, which has important implications for long-term survival. Metabolomic analyses of fluids and tissues from cancer patients improve our knowledge of the reprogramming of metabolic pathways involved in resistance to chemotherapy. This review evaluates how recent metabolomic approaches have contributed to understanding the relationship between breast cancer and the acquisition of resistance. We focus on the advantages and challenges of cancer treatment and the use of new strategies in clinical care, which helps us comprehend drug resistance and predict responses to treatment. MDPI 2018-02-21 /pmc/articles/PMC5855839/ /pubmed/29466297 http://dx.doi.org/10.3390/ijms19020617 Text en © 2018 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 Cardoso, Marcella Regina Santos, Juliana Carvalho Ribeiro, Marcelo Lima Talarico, Maria Cecília Ramiro Viana, Lais Rosa Derchain, Sophie Françoise Mauricette A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response |
title | A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response |
title_full | A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response |
title_fullStr | A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response |
title_full_unstemmed | A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response |
title_short | A Metabolomic Approach to Predict Breast Cancer Behavior and Chemotherapy Response |
title_sort | metabolomic approach to predict breast cancer behavior and chemotherapy response |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5855839/ https://www.ncbi.nlm.nih.gov/pubmed/29466297 http://dx.doi.org/10.3390/ijms19020617 |
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