Gene-expression profiles, tumor microenvironment, and cancer stem cells in breast cancer: Latest advances towards an integrated approach
Summary During the past decade, several high throughput analytical methods for gene-expression profiling have been developed. DNA microarrays and multiplex RT-PCR have been applied in the field of breast-cancer research to establish new molecular taxonomic classifications, or a selected group of gen...
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Veröffentlicht in: | Cancer treatment reviews 2010-10, Vol.36 (6), p.477-484 |
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description | Summary During the past decade, several high throughput analytical methods for gene-expression profiling have been developed. DNA microarrays and multiplex RT-PCR have been applied in the field of breast-cancer research to establish new molecular taxonomic classifications, or a selected group of genes able to predict the prognosis of the patients and/or their response to chemotherapy. This technology provides an opportunity to refine the anti-neoplastic treatment and avoid the currently observed under- and over-treatment of breast-cancer patients. In parallel, high throughput technologies for gene-expression analysis have been applied to research on cancer stem cells (CSCs) and the tumor microenvironment, offering a wider vision of the molecular processes that influence carcinogenic events, disease development, and the response to the treatment of breast-cancer patients. In this report, we briefly revisit the most relevant genomic studies on breast-cancer prognosis and prediction to introduce the latest advances in tumor dormancy, its implications in the clinical outcome of disease-free patients and its connection with CSCs biology and microenvironment influence in the metastatic process. Finally, we have discussed the contribution of the results of these studies to the design of new experimental strategies oriented towards personalized medicine. |
doi_str_mv | 10.1016/j.ctrv.2010.02.017 |
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Carmen ; Alvarez, J. Carlos ; Fernandez-Navarro, Monica ; Lorente, Jose A</creator><creatorcontrib>Vera-Ramirez, Laura ; Sanchez-Rovira, Pedro ; Ramirez-Tortosa, Cesar L ; Quiles, Jose L ; Ramirez-Tortosa, M. Carmen ; Alvarez, J. Carlos ; Fernandez-Navarro, Monica ; Lorente, Jose A</creatorcontrib><description>Summary During the past decade, several high throughput analytical methods for gene-expression profiling have been developed. DNA microarrays and multiplex RT-PCR have been applied in the field of breast-cancer research to establish new molecular taxonomic classifications, or a selected group of genes able to predict the prognosis of the patients and/or their response to chemotherapy. This technology provides an opportunity to refine the anti-neoplastic treatment and avoid the currently observed under- and over-treatment of breast-cancer patients. In parallel, high throughput technologies for gene-expression analysis have been applied to research on cancer stem cells (CSCs) and the tumor microenvironment, offering a wider vision of the molecular processes that influence carcinogenic events, disease development, and the response to the treatment of breast-cancer patients. In this report, we briefly revisit the most relevant genomic studies on breast-cancer prognosis and prediction to introduce the latest advances in tumor dormancy, its implications in the clinical outcome of disease-free patients and its connection with CSCs biology and microenvironment influence in the metastatic process. Finally, we have discussed the contribution of the results of these studies to the design of new experimental strategies oriented towards personalized medicine.</description><identifier>ISSN: 0305-7372</identifier><identifier>EISSN: 1532-1967</identifier><identifier>DOI: 10.1016/j.ctrv.2010.02.017</identifier><identifier>PMID: 20299155</identifier><language>eng</language><publisher>Netherlands: Elsevier Ltd</publisher><subject>Breast cancer ; Breast Neoplasms - genetics ; Breast Neoplasms - pathology ; Cancer stem cells ; Dormant cells ; Extracellular matrix ; Female ; Gene Expression Profiling - methods ; Genetic signature ; Hematology, Oncology and Palliative Medicine ; Humans ; Microenvironment ; Neoplastic Stem Cells - pathology</subject><ispartof>Cancer treatment reviews, 2010-10, Vol.36 (6), p.477-484</ispartof><rights>Elsevier Ltd</rights><rights>2010 Elsevier Ltd</rights><rights>2010 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-8c65b322a7e18b3bf4f1ae9d35bdd8e121396bcfe6c088da190267e7badbccd33</citedby><cites>FETCH-LOGICAL-c442t-8c65b322a7e18b3bf4f1ae9d35bdd8e121396bcfe6c088da190267e7badbccd33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ctrv.2010.02.017$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/20299155$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Vera-Ramirez, Laura</creatorcontrib><creatorcontrib>Sanchez-Rovira, Pedro</creatorcontrib><creatorcontrib>Ramirez-Tortosa, Cesar L</creatorcontrib><creatorcontrib>Quiles, Jose L</creatorcontrib><creatorcontrib>Ramirez-Tortosa, M. Carmen</creatorcontrib><creatorcontrib>Alvarez, J. Carlos</creatorcontrib><creatorcontrib>Fernandez-Navarro, Monica</creatorcontrib><creatorcontrib>Lorente, Jose A</creatorcontrib><title>Gene-expression profiles, tumor microenvironment, and cancer stem cells in breast cancer: Latest advances towards an integrated approach</title><title>Cancer treatment reviews</title><addtitle>Cancer Treat Rev</addtitle><description>Summary During the past decade, several high throughput analytical methods for gene-expression profiling have been developed. DNA microarrays and multiplex RT-PCR have been applied in the field of breast-cancer research to establish new molecular taxonomic classifications, or a selected group of genes able to predict the prognosis of the patients and/or their response to chemotherapy. This technology provides an opportunity to refine the anti-neoplastic treatment and avoid the currently observed under- and over-treatment of breast-cancer patients. In parallel, high throughput technologies for gene-expression analysis have been applied to research on cancer stem cells (CSCs) and the tumor microenvironment, offering a wider vision of the molecular processes that influence carcinogenic events, disease development, and the response to the treatment of breast-cancer patients. In this report, we briefly revisit the most relevant genomic studies on breast-cancer prognosis and prediction to introduce the latest advances in tumor dormancy, its implications in the clinical outcome of disease-free patients and its connection with CSCs biology and microenvironment influence in the metastatic process. Finally, we have discussed the contribution of the results of these studies to the design of new experimental strategies oriented towards personalized medicine.</description><subject>Breast cancer</subject><subject>Breast Neoplasms - genetics</subject><subject>Breast Neoplasms - pathology</subject><subject>Cancer stem cells</subject><subject>Dormant cells</subject><subject>Extracellular matrix</subject><subject>Female</subject><subject>Gene Expression Profiling - methods</subject><subject>Genetic signature</subject><subject>Hematology, Oncology and Palliative Medicine</subject><subject>Humans</subject><subject>Microenvironment</subject><subject>Neoplastic Stem Cells - pathology</subject><issn>0305-7372</issn><issn>1532-1967</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9UstuFDEQtBARWQI_wAH5xiWz-LGeGSMUKYogIK3EAThbfvSAlxl7sT1L8gd8Nh7twoFDTpa7q_pR1Qi9oGRNCW1f79a2pMOakRogbE1o9witqOCsobLtHqMV4UQ0He_YOXqa844QInkrn6BzRpiUVIgV-n0LARq42yfI2ceA9ykOfoR8ics8xYQnb1OEcPAphglCucQ6OGx1sJBwLjBhC-OYsQ_YJNC5nHJv8FYXqF_tDksg4xJ_6eRy5VdwgW-p5h3W-9pR2-_P0NmgxwzPT-8F-vr-3ZebD8320-3Hm-ttYzcbVpretsJwxnQHtDfcDJuBapCOC-NcD5RRLltjB2gt6XunqSSs7aAz2hlrHecX6NWxbm37c64DqsnnZQUdIM5ZSbERkomOVSQ7IqsAOScY1D75Sad7RYlaDFA7tRigFgMUYaoaUEkvT-VnM4H7R_mreAW8PQKgLnnwkFS2HqpAziewRbnoH65_9R_djj54q8cfcA95F-cUqnyKqlwJ6vNyAssF0Go-4T3lfwBbS6_E</recordid><startdate>20101001</startdate><enddate>20101001</enddate><creator>Vera-Ramirez, Laura</creator><creator>Sanchez-Rovira, Pedro</creator><creator>Ramirez-Tortosa, Cesar L</creator><creator>Quiles, Jose L</creator><creator>Ramirez-Tortosa, M. Carmen</creator><creator>Alvarez, J. Carlos</creator><creator>Fernandez-Navarro, Monica</creator><creator>Lorente, Jose A</creator><general>Elsevier Ltd</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope></search><sort><creationdate>20101001</creationdate><title>Gene-expression profiles, tumor microenvironment, and cancer stem cells in breast cancer: Latest advances towards an integrated approach</title><author>Vera-Ramirez, Laura ; Sanchez-Rovira, Pedro ; Ramirez-Tortosa, Cesar L ; Quiles, Jose L ; Ramirez-Tortosa, M. Carmen ; Alvarez, J. Carlos ; Fernandez-Navarro, Monica ; Lorente, Jose A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-8c65b322a7e18b3bf4f1ae9d35bdd8e121396bcfe6c088da190267e7badbccd33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Breast cancer</topic><topic>Breast Neoplasms - genetics</topic><topic>Breast Neoplasms - pathology</topic><topic>Cancer stem cells</topic><topic>Dormant cells</topic><topic>Extracellular matrix</topic><topic>Female</topic><topic>Gene Expression Profiling - methods</topic><topic>Genetic signature</topic><topic>Hematology, Oncology and Palliative Medicine</topic><topic>Humans</topic><topic>Microenvironment</topic><topic>Neoplastic Stem Cells - pathology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vera-Ramirez, Laura</creatorcontrib><creatorcontrib>Sanchez-Rovira, Pedro</creatorcontrib><creatorcontrib>Ramirez-Tortosa, Cesar L</creatorcontrib><creatorcontrib>Quiles, Jose L</creatorcontrib><creatorcontrib>Ramirez-Tortosa, M. 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Carmen</au><au>Alvarez, J. Carlos</au><au>Fernandez-Navarro, Monica</au><au>Lorente, Jose A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Gene-expression profiles, tumor microenvironment, and cancer stem cells in breast cancer: Latest advances towards an integrated approach</atitle><jtitle>Cancer treatment reviews</jtitle><addtitle>Cancer Treat Rev</addtitle><date>2010-10-01</date><risdate>2010</risdate><volume>36</volume><issue>6</issue><spage>477</spage><epage>484</epage><pages>477-484</pages><issn>0305-7372</issn><eissn>1532-1967</eissn><abstract>Summary During the past decade, several high throughput analytical methods for gene-expression profiling have been developed. DNA microarrays and multiplex RT-PCR have been applied in the field of breast-cancer research to establish new molecular taxonomic classifications, or a selected group of genes able to predict the prognosis of the patients and/or their response to chemotherapy. 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Finally, we have discussed the contribution of the results of these studies to the design of new experimental strategies oriented towards personalized medicine.</abstract><cop>Netherlands</cop><pub>Elsevier Ltd</pub><pmid>20299155</pmid><doi>10.1016/j.ctrv.2010.02.017</doi><tpages>8</tpages></addata></record> |
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subjects | Breast cancer Breast Neoplasms - genetics Breast Neoplasms - pathology Cancer stem cells Dormant cells Extracellular matrix Female Gene Expression Profiling - methods Genetic signature Hematology, Oncology and Palliative Medicine Humans Microenvironment Neoplastic Stem Cells - pathology |
title | Gene-expression profiles, tumor microenvironment, and cancer stem cells in breast cancer: Latest advances towards an integrated approach |
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