Developing gene expression signatures of pathway deregulation in tumors
Recent advances in our understanding of cancer biology have led to the development of therapies targeting specific signaling pathways. Molecular targeting promises to improve our ability to predict who will respond by assessing the state of these targeted pathways in patients. However, a single path...
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| Veröffentlicht in: | Molecular cancer therapeutics 2006-10, Vol.5 (10), p.2444-2449 |
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| container_title | Molecular cancer therapeutics |
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| creator | Watters, James W Roberts, Christopher J |
| description | Recent advances in our understanding of cancer biology have led to the development of therapies targeting specific signaling
pathways. Molecular targeting promises to improve our ability to predict who will respond by assessing the state of these
targeted pathways in patients. However, a single pathway can be deregulated by multiple mechanisms, and for some pathways
it may be difficult to assess activation state by analyzing a single oncogene or tumor suppressor. Therefore, developing gene
expression signatures of pathway activation status using model systems or human tumor samples may enable a more reliable measurement
of pathway activity. This review discusses recent advances in the identification of gene expression–based signatures of pathway
deregulation and how this information may lead to improved therapeutic response prediction. [Mol Cancer Ther 2006;5(10):2444–9] |
| doi_str_mv | 10.1158/1535-7163.MCT-06-0340 |
| format | Article |
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pathways. Molecular targeting promises to improve our ability to predict who will respond by assessing the state of these
targeted pathways in patients. However, a single pathway can be deregulated by multiple mechanisms, and for some pathways
it may be difficult to assess activation state by analyzing a single oncogene or tumor suppressor. Therefore, developing gene
expression signatures of pathway activation status using model systems or human tumor samples may enable a more reliable measurement
of pathway activity. This review discusses recent advances in the identification of gene expression–based signatures of pathway
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pathways. Molecular targeting promises to improve our ability to predict who will respond by assessing the state of these
targeted pathways in patients. However, a single pathway can be deregulated by multiple mechanisms, and for some pathways
it may be difficult to assess activation state by analyzing a single oncogene or tumor suppressor. Therefore, developing gene
expression signatures of pathway activation status using model systems or human tumor samples may enable a more reliable measurement
of pathway activity. This review discusses recent advances in the identification of gene expression–based signatures of pathway
deregulation and how this information may lead to improved therapeutic response prediction. [Mol Cancer Ther 2006;5(10):2444–9]</description><subject>Animals</subject><subject>Antineoplastic Agents - pharmacology</subject><subject>Breast Neoplasms - metabolism</subject><subject>cancer</subject><subject>Cluster Analysis</subject><subject>Drug Evaluation, Preclinical</subject><subject>Female</subject><subject>gene expression</subject><subject>Gene Expression Profiling</subject><subject>Humans</subject><subject>Lung Neoplasms - metabolism</subject><subject>Mice</subject><subject>microarray</subject><subject>Neoplasms - diagnosis</subject><subject>Neoplasms - drug therapy</subject><subject>Neoplasms - metabolism</subject><subject>Neoplasms, Experimental - drug therapy</subject><subject>Neoplasms, Experimental - metabolism</subject><subject>pathway</subject><subject>Prognosis</subject><subject>Proto-Oncogene Proteins - biosynthesis</subject><subject>Proto-Oncogene Proteins - genetics</subject><subject>Proto-Oncogene Proteins p21(ras) - biosynthesis</subject><subject>Proto-Oncogene Proteins p21(ras) - genetics</subject><subject>ras Proteins</subject><subject>Signal Transduction</subject><subject>signature</subject><subject>Tumor Cells, Cultured</subject><subject>Tumor Suppressor Protein p53 - genetics</subject><subject>Tumor Suppressor Protein p53 - physiology</subject><issn>1535-7163</issn><issn>1538-8514</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkE1Lw0AQhhdRrFZ_gpKTeEnd6X7mKFWrUPFSz8tmM00jaRJ3E2v_vYktePQ0HzwzLzyEXAGdAAh9B4KJWIFkk9fZMqYypozTI3LW73WsBfDj337PjMh5CB-Ugk6mcEpGoCgHqtUZmT_gF5Z1U1R5lGOFEX43HkMo6ioKRV7ZtuvHqF5FjW3XW7uLMvSYd6VtB6Soorbb1D5ckJOVLQNeHuqYvD89LmfP8eJt_jK7X8SOKWhjJ0AIm8lESs2kppkDpvs5zRKuFbNSppziSkmLQjE9tYiZzpySIFVqFbIxudn_bXz92WFozaYIDsvSVlh3wUidSJgq-BeEJFGCU9GDYg86X4fgcWUaX2ys3xmgZlBtBo1m0Gh61YZKM6ju764PAV26wezv6uC2B273wLrI19vCo3G2cuh7n2i9WxsxJEw55-wHqueIoQ</recordid><startdate>20061001</startdate><enddate>20061001</enddate><creator>Watters, James W</creator><creator>Roberts, Christopher J</creator><general>American Association for Cancer Research</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>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope></search><sort><creationdate>20061001</creationdate><title>Developing gene expression signatures of pathway deregulation in tumors</title><author>Watters, James W ; 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pathways. Molecular targeting promises to improve our ability to predict who will respond by assessing the state of these
targeted pathways in patients. However, a single pathway can be deregulated by multiple mechanisms, and for some pathways
it may be difficult to assess activation state by analyzing a single oncogene or tumor suppressor. Therefore, developing gene
expression signatures of pathway activation status using model systems or human tumor samples may enable a more reliable measurement
of pathway activity. This review discusses recent advances in the identification of gene expression–based signatures of pathway
deregulation and how this information may lead to improved therapeutic response prediction. [Mol Cancer Ther 2006;5(10):2444–9]</abstract><cop>United States</cop><pub>American Association for Cancer Research</pub><pmid>17041087</pmid><doi>10.1158/1535-7163.MCT-06-0340</doi><tpages>6</tpages></addata></record> |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; American Association for Cancer Research |
| subjects | Animals Antineoplastic Agents - pharmacology Breast Neoplasms - metabolism cancer Cluster Analysis Drug Evaluation, Preclinical Female gene expression Gene Expression Profiling Humans Lung Neoplasms - metabolism Mice microarray Neoplasms - diagnosis Neoplasms - drug therapy Neoplasms - metabolism Neoplasms, Experimental - drug therapy Neoplasms, Experimental - metabolism pathway Prognosis Proto-Oncogene Proteins - biosynthesis Proto-Oncogene Proteins - genetics Proto-Oncogene Proteins p21(ras) - biosynthesis Proto-Oncogene Proteins p21(ras) - genetics ras Proteins Signal Transduction signature Tumor Cells, Cultured Tumor Suppressor Protein p53 - genetics Tumor Suppressor Protein p53 - physiology |
| title | Developing gene expression signatures of pathway deregulation in tumors |
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