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Molecular Markers for Breast Cancer: Prediction on Tumor Behavior

Breast cancer is one of the most common cancers with greater than 1,300,000 cases and 450,000 deaths each year worldwide. The development of breast cancer involves a progression through intermediate stages until the invasive carcinoma and finally into metastatic disease. Given the variability in cli...

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Autores principales: Banin Hirata, Bruna Karina, Oda, Julie Massayo Maeda, Losi Guembarovski, Roberta, Ariza, Carolina Batista, de Oliveira, Carlos Eduardo Coral, Watanabe, Maria Angelica Ehara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925609/
https://www.ncbi.nlm.nih.gov/pubmed/24591761
http://dx.doi.org/10.1155/2014/513158
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author Banin Hirata, Bruna Karina
Oda, Julie Massayo Maeda
Losi Guembarovski, Roberta
Ariza, Carolina Batista
de Oliveira, Carlos Eduardo Coral
Watanabe, Maria Angelica Ehara
author_facet Banin Hirata, Bruna Karina
Oda, Julie Massayo Maeda
Losi Guembarovski, Roberta
Ariza, Carolina Batista
de Oliveira, Carlos Eduardo Coral
Watanabe, Maria Angelica Ehara
author_sort Banin Hirata, Bruna Karina
collection PubMed
description Breast cancer is one of the most common cancers with greater than 1,300,000 cases and 450,000 deaths each year worldwide. The development of breast cancer involves a progression through intermediate stages until the invasive carcinoma and finally into metastatic disease. Given the variability in clinical progression, the identification of markers that could predict the tumor behavior is particularly important in breast cancer. The determination of tumor markers is a useful tool for clinical management in cancer patients, assisting in diagnostic, staging, evaluation of therapeutic response, detection of recurrence and metastasis, and development of new treatment modalities. In this context, this review aims to discuss the main tumor markers in breast carcinogenesis. The most well-established breast molecular markers with prognostic and/or therapeutic value like hormone receptors, HER-2 oncogene, Ki-67, and p53 proteins, and the genes for hereditary breast cancer will be presented. Furthermore, this review shows the new molecular targets in breast cancer: CXCR4, caveolin, miRNA, and FOXP3, as promising candidates for future development of effective and targeted therapies, also with lower toxicity.
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spelling pubmed-39256092014-03-03 Molecular Markers for Breast Cancer: Prediction on Tumor Behavior Banin Hirata, Bruna Karina Oda, Julie Massayo Maeda Losi Guembarovski, Roberta Ariza, Carolina Batista de Oliveira, Carlos Eduardo Coral Watanabe, Maria Angelica Ehara Dis Markers Review Article Breast cancer is one of the most common cancers with greater than 1,300,000 cases and 450,000 deaths each year worldwide. The development of breast cancer involves a progression through intermediate stages until the invasive carcinoma and finally into metastatic disease. Given the variability in clinical progression, the identification of markers that could predict the tumor behavior is particularly important in breast cancer. The determination of tumor markers is a useful tool for clinical management in cancer patients, assisting in diagnostic, staging, evaluation of therapeutic response, detection of recurrence and metastasis, and development of new treatment modalities. In this context, this review aims to discuss the main tumor markers in breast carcinogenesis. The most well-established breast molecular markers with prognostic and/or therapeutic value like hormone receptors, HER-2 oncogene, Ki-67, and p53 proteins, and the genes for hereditary breast cancer will be presented. Furthermore, this review shows the new molecular targets in breast cancer: CXCR4, caveolin, miRNA, and FOXP3, as promising candidates for future development of effective and targeted therapies, also with lower toxicity. Hindawi Publishing Corporation 2014 2014-01-28 /pmc/articles/PMC3925609/ /pubmed/24591761 http://dx.doi.org/10.1155/2014/513158 Text en Copyright © 2014 Bruna Karina Banin Hirata et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Banin Hirata, Bruna Karina
Oda, Julie Massayo Maeda
Losi Guembarovski, Roberta
Ariza, Carolina Batista
de Oliveira, Carlos Eduardo Coral
Watanabe, Maria Angelica Ehara
Molecular Markers for Breast Cancer: Prediction on Tumor Behavior
title Molecular Markers for Breast Cancer: Prediction on Tumor Behavior
title_full Molecular Markers for Breast Cancer: Prediction on Tumor Behavior
title_fullStr Molecular Markers for Breast Cancer: Prediction on Tumor Behavior
title_full_unstemmed Molecular Markers for Breast Cancer: Prediction on Tumor Behavior
title_short Molecular Markers for Breast Cancer: Prediction on Tumor Behavior
title_sort molecular markers for breast cancer: prediction on tumor behavior
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925609/
https://www.ncbi.nlm.nih.gov/pubmed/24591761
http://dx.doi.org/10.1155/2014/513158
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