Molecular predictors of response to a humanized anti–insulin-like growth factor-I receptor monoclonal antibody in breast and colorectal cancer
The insulin-like growth factor-I receptor (IGF-IR) pathway is required for the maintenance of the transformed phenotype in neoplastic cells and hence has been the subject of intensive drug discovery efforts. A key aspect of successful clinical development of targeted therapies directed against IGF-I...
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Veröffentlicht in: | Molecular cancer therapeutics 2009-08, Vol.8 (8), p.2110-2121 |
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creator | Zha, Jiping O'Brien, Carol Savage, Heidi Huw, Ling-Yuh Zhong, Fiona Berry, Leanne Lewis Phillips, Gail D Luis, Elizabeth Cavet, Guy Hu, Xiaolan Amler, Lukas C Lackner, Mark R |
description | The insulin-like growth factor-I receptor (IGF-IR) pathway is required for the maintenance of the transformed phenotype in
neoplastic cells and hence has been the subject of intensive drug discovery efforts. A key aspect of successful clinical development
of targeted therapies directed against IGF-IR will be identification of responsive patient populations. Toward that end, we
have endeavored to identify predictive biomarkers of response to an anti-IGF-IR-targeting monoclonal antibody in preclinical
models of breast and colorectal cancer. We find that levels of the IGF-IR itself may have predictive value in these tumor
types and identify other gene expression predictors of in vitro response. Studies in breast cancer models suggest that IGF-IR expression is both correlated and functionally linked with
estrogen receptor signaling and provide a basis for both patient stratification and rational combination therapy with antiestrogen-targeting
agents. In addition, we find that levels of other components of the signaling pathway such as the adaptor proteins IRS1 and
IRS2, as well as the ligand IGF-II, have predictive value and report on the development of a pathway-focused panel of diagnostic
biomarkers that could be used to test these hypotheses during clinical development of IGF-IR-targeting therapies. [Mol Cancer
Ther 2009;8(8):2110–21] |
doi_str_mv | 10.1158/1535-7163.MCT-09-0381 |
format | Article |
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neoplastic cells and hence has been the subject of intensive drug discovery efforts. A key aspect of successful clinical development
of targeted therapies directed against IGF-IR will be identification of responsive patient populations. Toward that end, we
have endeavored to identify predictive biomarkers of response to an anti-IGF-IR-targeting monoclonal antibody in preclinical
models of breast and colorectal cancer. We find that levels of the IGF-IR itself may have predictive value in these tumor
types and identify other gene expression predictors of in vitro response. Studies in breast cancer models suggest that IGF-IR expression is both correlated and functionally linked with
estrogen receptor signaling and provide a basis for both patient stratification and rational combination therapy with antiestrogen-targeting
agents. In addition, we find that levels of other components of the signaling pathway such as the adaptor proteins IRS1 and
IRS2, as well as the ligand IGF-II, have predictive value and report on the development of a pathway-focused panel of diagnostic
biomarkers that could be used to test these hypotheses during clinical development of IGF-IR-targeting therapies. [Mol Cancer
Ther 2009;8(8):2110–21]</description><identifier>ISSN: 1535-7163</identifier><identifier>EISSN: 1538-8514</identifier><identifier>DOI: 10.1158/1535-7163.MCT-09-0381</identifier><identifier>PMID: 19671761</identifier><language>eng</language><publisher>United States: American Association for Cancer Research</publisher><subject>Antibodies, Monoclonal - pharmacology ; Antibodies, Monoclonal - therapeutic use ; Antineoplastic Agents - pharmacology ; Antineoplastic Agents - therapeutic use ; biomarker ; breast cancer ; Breast Neoplasms - drug therapy ; Breast Neoplasms - metabolism ; Cell Line, Tumor ; colorectal cancer ; Colorectal Neoplasms - drug therapy ; Colorectal Neoplasms - metabolism ; diagnostics ; estrogen receptor ; Female ; Humans ; IGF-IR ; Immunohistochemistry ; Insulin Receptor Substrate Proteins - genetics ; Insulin Receptor Substrate Proteins - metabolism ; monoclonal antibody ; Receptor, IGF Type 1 - antagonists & inhibitors ; Receptor, IGF Type 1 - metabolism ; RNA, Small Interfering - metabolism</subject><ispartof>Molecular cancer therapeutics, 2009-08, Vol.8 (8), p.2110-2121</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c453t-fe5bce7233c327b1ee22134e0c25c4e4fc81378b2f574f7a01326039899f34d63</citedby><cites>FETCH-LOGICAL-c453t-fe5bce7233c327b1ee22134e0c25c4e4fc81378b2f574f7a01326039899f34d63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,3343,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/19671761$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zha, Jiping</creatorcontrib><creatorcontrib>O'Brien, Carol</creatorcontrib><creatorcontrib>Savage, Heidi</creatorcontrib><creatorcontrib>Huw, Ling-Yuh</creatorcontrib><creatorcontrib>Zhong, Fiona</creatorcontrib><creatorcontrib>Berry, Leanne</creatorcontrib><creatorcontrib>Lewis Phillips, Gail D</creatorcontrib><creatorcontrib>Luis, Elizabeth</creatorcontrib><creatorcontrib>Cavet, Guy</creatorcontrib><creatorcontrib>Hu, Xiaolan</creatorcontrib><creatorcontrib>Amler, Lukas C</creatorcontrib><creatorcontrib>Lackner, Mark R</creatorcontrib><title>Molecular predictors of response to a humanized anti–insulin-like growth factor-I receptor monoclonal antibody in breast and colorectal cancer</title><title>Molecular cancer therapeutics</title><addtitle>Mol Cancer Ther</addtitle><description>The insulin-like growth factor-I receptor (IGF-IR) pathway is required for the maintenance of the transformed phenotype in
neoplastic cells and hence has been the subject of intensive drug discovery efforts. A key aspect of successful clinical development
of targeted therapies directed against IGF-IR will be identification of responsive patient populations. Toward that end, we
have endeavored to identify predictive biomarkers of response to an anti-IGF-IR-targeting monoclonal antibody in preclinical
models of breast and colorectal cancer. We find that levels of the IGF-IR itself may have predictive value in these tumor
types and identify other gene expression predictors of in vitro response. Studies in breast cancer models suggest that IGF-IR expression is both correlated and functionally linked with
estrogen receptor signaling and provide a basis for both patient stratification and rational combination therapy with antiestrogen-targeting
agents. In addition, we find that levels of other components of the signaling pathway such as the adaptor proteins IRS1 and
IRS2, as well as the ligand IGF-II, have predictive value and report on the development of a pathway-focused panel of diagnostic
biomarkers that could be used to test these hypotheses during clinical development of IGF-IR-targeting therapies. [Mol Cancer
Ther 2009;8(8):2110–21]</description><subject>Antibodies, Monoclonal - pharmacology</subject><subject>Antibodies, Monoclonal - therapeutic use</subject><subject>Antineoplastic Agents - pharmacology</subject><subject>Antineoplastic Agents - therapeutic use</subject><subject>biomarker</subject><subject>breast cancer</subject><subject>Breast Neoplasms - drug therapy</subject><subject>Breast Neoplasms - metabolism</subject><subject>Cell Line, Tumor</subject><subject>colorectal cancer</subject><subject>Colorectal Neoplasms - drug therapy</subject><subject>Colorectal Neoplasms - metabolism</subject><subject>diagnostics</subject><subject>estrogen receptor</subject><subject>Female</subject><subject>Humans</subject><subject>IGF-IR</subject><subject>Immunohistochemistry</subject><subject>Insulin Receptor Substrate Proteins - genetics</subject><subject>Insulin Receptor Substrate Proteins - metabolism</subject><subject>monoclonal antibody</subject><subject>Receptor, IGF Type 1 - antagonists & inhibitors</subject><subject>Receptor, IGF Type 1 - metabolism</subject><subject>RNA, Small Interfering - metabolism</subject><issn>1535-7163</issn><issn>1538-8514</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2009</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpFkcFu1TAQRSMEoqXlE0DesUrx2HGcLNETpZVasWnXluNMGoNjBztR1a76CUj9Q74Ep-9J1Sw8Gp07Y91bFJ-AngGI5isILkoJNT-73t2UtC0pb-BNcZznTdkIqN6-9HvmqPiQ0i9KoWkZvC-OoK0lyBqOi7_XwaFZnY5kjthbs4SYSBhIxDQHn5AsgWgyrpP29hF7ov1i_z09W59WZ33p7G8kdzHcLyMZ9KYuL7PW4JxbMgUfjAteuxddF_oHYj3pIuq05FFPTHAh40smjPYG42nxbtAu4cfDe1Lcnn-_2V2UVz9_XO6-XZWmEnwpBxSdQck4N5zJDhAZA14hNUyYCqvBNMBl07FByGqQmgJnNeVt07YDr_qanxRf9nvnGP6smBY12WTQOe0xrElJztu6lYJnUuxJE0NKEQc1Rzvp-KCAqi0LtfmsNp9VzkLRVm1ZZN3nw4W1m7B_VR3Mf_3CaO_GextR7S3I1qOOZlRNLgZA-X-3eJbj</recordid><startdate>20090801</startdate><enddate>20090801</enddate><creator>Zha, Jiping</creator><creator>O'Brien, Carol</creator><creator>Savage, Heidi</creator><creator>Huw, Ling-Yuh</creator><creator>Zhong, Fiona</creator><creator>Berry, Leanne</creator><creator>Lewis Phillips, Gail D</creator><creator>Luis, Elizabeth</creator><creator>Cavet, Guy</creator><creator>Hu, Xiaolan</creator><creator>Amler, Lukas C</creator><creator>Lackner, Mark R</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>7X8</scope></search><sort><creationdate>20090801</creationdate><title>Molecular predictors of response to a humanized anti–insulin-like growth factor-I receptor monoclonal antibody in breast and colorectal cancer</title><author>Zha, Jiping ; O'Brien, Carol ; Savage, Heidi ; Huw, Ling-Yuh ; Zhong, Fiona ; Berry, Leanne ; Lewis Phillips, Gail D ; Luis, Elizabeth ; Cavet, Guy ; Hu, Xiaolan ; Amler, Lukas C ; Lackner, Mark R</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c453t-fe5bce7233c327b1ee22134e0c25c4e4fc81378b2f574f7a01326039899f34d63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2009</creationdate><topic>Antibodies, Monoclonal - pharmacology</topic><topic>Antibodies, Monoclonal - therapeutic use</topic><topic>Antineoplastic Agents - pharmacology</topic><topic>Antineoplastic Agents - therapeutic use</topic><topic>biomarker</topic><topic>breast cancer</topic><topic>Breast Neoplasms - drug therapy</topic><topic>Breast Neoplasms - metabolism</topic><topic>Cell Line, Tumor</topic><topic>colorectal cancer</topic><topic>Colorectal Neoplasms - drug therapy</topic><topic>Colorectal Neoplasms - metabolism</topic><topic>diagnostics</topic><topic>estrogen receptor</topic><topic>Female</topic><topic>Humans</topic><topic>IGF-IR</topic><topic>Immunohistochemistry</topic><topic>Insulin Receptor Substrate Proteins - genetics</topic><topic>Insulin Receptor Substrate Proteins - metabolism</topic><topic>monoclonal antibody</topic><topic>Receptor, IGF Type 1 - antagonists & inhibitors</topic><topic>Receptor, IGF Type 1 - metabolism</topic><topic>RNA, Small Interfering - metabolism</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zha, Jiping</creatorcontrib><creatorcontrib>O'Brien, Carol</creatorcontrib><creatorcontrib>Savage, Heidi</creatorcontrib><creatorcontrib>Huw, Ling-Yuh</creatorcontrib><creatorcontrib>Zhong, Fiona</creatorcontrib><creatorcontrib>Berry, Leanne</creatorcontrib><creatorcontrib>Lewis Phillips, Gail D</creatorcontrib><creatorcontrib>Luis, Elizabeth</creatorcontrib><creatorcontrib>Cavet, Guy</creatorcontrib><creatorcontrib>Hu, Xiaolan</creatorcontrib><creatorcontrib>Amler, Lukas C</creatorcontrib><creatorcontrib>Lackner, Mark R</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Molecular cancer therapeutics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zha, Jiping</au><au>O'Brien, Carol</au><au>Savage, Heidi</au><au>Huw, Ling-Yuh</au><au>Zhong, Fiona</au><au>Berry, Leanne</au><au>Lewis Phillips, Gail D</au><au>Luis, Elizabeth</au><au>Cavet, Guy</au><au>Hu, Xiaolan</au><au>Amler, Lukas C</au><au>Lackner, Mark R</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Molecular predictors of response to a humanized anti–insulin-like growth factor-I receptor monoclonal antibody in breast and colorectal cancer</atitle><jtitle>Molecular cancer therapeutics</jtitle><addtitle>Mol Cancer Ther</addtitle><date>2009-08-01</date><risdate>2009</risdate><volume>8</volume><issue>8</issue><spage>2110</spage><epage>2121</epage><pages>2110-2121</pages><issn>1535-7163</issn><eissn>1538-8514</eissn><abstract>The insulin-like growth factor-I receptor (IGF-IR) pathway is required for the maintenance of the transformed phenotype in
neoplastic cells and hence has been the subject of intensive drug discovery efforts. A key aspect of successful clinical development
of targeted therapies directed against IGF-IR will be identification of responsive patient populations. Toward that end, we
have endeavored to identify predictive biomarkers of response to an anti-IGF-IR-targeting monoclonal antibody in preclinical
models of breast and colorectal cancer. We find that levels of the IGF-IR itself may have predictive value in these tumor
types and identify other gene expression predictors of in vitro response. Studies in breast cancer models suggest that IGF-IR expression is both correlated and functionally linked with
estrogen receptor signaling and provide a basis for both patient stratification and rational combination therapy with antiestrogen-targeting
agents. In addition, we find that levels of other components of the signaling pathway such as the adaptor proteins IRS1 and
IRS2, as well as the ligand IGF-II, have predictive value and report on the development of a pathway-focused panel of diagnostic
biomarkers that could be used to test these hypotheses during clinical development of IGF-IR-targeting therapies. [Mol Cancer
Ther 2009;8(8):2110–21]</abstract><cop>United States</cop><pub>American Association for Cancer Research</pub><pmid>19671761</pmid><doi>10.1158/1535-7163.MCT-09-0381</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; American Association for Cancer Research; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
subjects | Antibodies, Monoclonal - pharmacology Antibodies, Monoclonal - therapeutic use Antineoplastic Agents - pharmacology Antineoplastic Agents - therapeutic use biomarker breast cancer Breast Neoplasms - drug therapy Breast Neoplasms - metabolism Cell Line, Tumor colorectal cancer Colorectal Neoplasms - drug therapy Colorectal Neoplasms - metabolism diagnostics estrogen receptor Female Humans IGF-IR Immunohistochemistry Insulin Receptor Substrate Proteins - genetics Insulin Receptor Substrate Proteins - metabolism monoclonal antibody Receptor, IGF Type 1 - antagonists & inhibitors Receptor, IGF Type 1 - metabolism RNA, Small Interfering - metabolism |
title | Molecular predictors of response to a humanized anti–insulin-like growth factor-I receptor monoclonal antibody in breast and colorectal cancer |
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