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Signaling pathways in breast cancer metastasis - novel insights from functional genomics
The advent of genomic profiling technology has brought about revolutionary changes in our understanding of breast cancer metastasis. Gene expression analyses of primary tumors have been used to predict metastatic propensity with high accuracy. Animal models of metastasis additionally offer a platfor...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3219178/ https://www.ncbi.nlm.nih.gov/pubmed/21457525 http://dx.doi.org/10.1186/bcr2831 |
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author | Blanco, Mario Andres Kang, Yibin |
author_facet | Blanco, Mario Andres Kang, Yibin |
author_sort | Blanco, Mario Andres |
collection | PubMed |
description | The advent of genomic profiling technology has brought about revolutionary changes in our understanding of breast cancer metastasis. Gene expression analyses of primary tumors have been used to predict metastatic propensity with high accuracy. Animal models of metastasis additionally offer a platform to experimentally dissect components of the metastasis genetic program. Recent integrated studies have synergized clinical bioinformatic analyses with advanced experimental methodology and begun to uncover the identities and dynamics of signaling programs driving breast cancer metastasis. Such functional genomics studies hold great promise for understanding the genetic basis of metastasis and improving therapeutics for advanced diseases. |
format | Online Article Text |
id | pubmed-3219178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-32191782011-11-18 Signaling pathways in breast cancer metastasis - novel insights from functional genomics Blanco, Mario Andres Kang, Yibin Breast Cancer Res Review The advent of genomic profiling technology has brought about revolutionary changes in our understanding of breast cancer metastasis. Gene expression analyses of primary tumors have been used to predict metastatic propensity with high accuracy. Animal models of metastasis additionally offer a platform to experimentally dissect components of the metastasis genetic program. Recent integrated studies have synergized clinical bioinformatic analyses with advanced experimental methodology and begun to uncover the identities and dynamics of signaling programs driving breast cancer metastasis. Such functional genomics studies hold great promise for understanding the genetic basis of metastasis and improving therapeutics for advanced diseases. BioMed Central 2011 2011-03-14 /pmc/articles/PMC3219178/ /pubmed/21457525 http://dx.doi.org/10.1186/bcr2831 Text en Copyright ©2011 BioMed Central Ltd |
spellingShingle | Review Blanco, Mario Andres Kang, Yibin Signaling pathways in breast cancer metastasis - novel insights from functional genomics |
title | Signaling pathways in breast cancer metastasis - novel insights from functional genomics |
title_full | Signaling pathways in breast cancer metastasis - novel insights from functional genomics |
title_fullStr | Signaling pathways in breast cancer metastasis - novel insights from functional genomics |
title_full_unstemmed | Signaling pathways in breast cancer metastasis - novel insights from functional genomics |
title_short | Signaling pathways in breast cancer metastasis - novel insights from functional genomics |
title_sort | signaling pathways in breast cancer metastasis - novel insights from functional genomics |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3219178/ https://www.ncbi.nlm.nih.gov/pubmed/21457525 http://dx.doi.org/10.1186/bcr2831 |
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