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Eph/Ephrin Profiling in Human Breast Cancer Reveals Significant Associations between Expression Level and Clinical Outcome

Identifieur interne : 004518 ( Pmc/Curation ); précédent : 004517; suivant : 004519

Eph/Ephrin Profiling in Human Breast Cancer Reveals Significant Associations between Expression Level and Clinical Outcome

Auteurs : Dana M. Brantley-Sieders ; Aixiang Jiang [États-Unis] ; Krishna Sarma ; Akosua Badu-Nkansah [États-Unis] ; Debra L. Walter ; Yu Shyr [États-Unis] ; Jin Chen [États-Unis]

Source :

RBID : PMC:3174170

Abstract

Pre-clinical studies provide compelling evidence that Eph family receptor tyrosine kinases (RTKs) and ligands promote cancer growth, neovascularization, invasion, and metastasis. Tumor suppressive roles have also been reported for the receptors, however, creating a potential barrier for clinical application. Determining how these observations relate to clinical outcome is a crucial step for translating the biological and mechanistic data into new molecularly targeted therapies. We investigated eph and ephrin expression in human breast cancer relative to endpoints of overall and/or recurrence-free survival in large microarray datasets. We also investigated protein expression in commercial human breast tissue microarrays (TMA) and Stage I prognostic TMAs linked to recurrence outcome data. We found significant correlations between ephA2, ephA4, ephA7, ephB4, and ephB6 and overall and/or recurrence-free survival in large microarray datasets. Protein expression in TMAs supported these trends. While observed no correlation between ephrin ligand expression and clinical outcome in microarray datasets, ephrin-A1 and EphA2 protein co-expression was significantly associated with recurrence in Stage I prognostic breast cancer TMAs. Our data suggest that several Eph family members are clinically relevant and tractable targets for intervention in human breast cancer. Moreover, profiling Eph receptor expression patterns in the context of relevant ligands and in the context of stage may be valuable in terms of diagnostics and treatment.


Url:
DOI: 10.1371/journal.pone.0024426
PubMed: 21935409
PubMed Central: 3174170

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Dana M. Brantley-Sieders
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Krishna Sarma
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Debra L. Walter
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Jin Chen
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<p>Pre-clinical studies provide compelling evidence that Eph family receptor tyrosine kinases (RTKs) and ligands promote cancer growth, neovascularization, invasion, and metastasis. Tumor suppressive roles have also been reported for the receptors, however, creating a potential barrier for clinical application. Determining how these observations relate to clinical outcome is a crucial step for translating the biological and mechanistic data into new molecularly targeted therapies. We investigated
<italic>eph</italic>
and
<italic>ephrin</italic>
expression in human breast cancer relative to endpoints of overall and/or recurrence-free survival in large microarray datasets. We also investigated protein expression in commercial human breast tissue microarrays (TMA) and Stage I prognostic TMAs linked to recurrence outcome data. We found significant correlations between
<italic>ephA2</italic>
,
<italic>ephA4</italic>
,
<italic>ephA7</italic>
,
<italic>ephB4</italic>
, and
<italic>ephB6</italic>
and overall and/or recurrence-free survival in large microarray datasets. Protein expression in TMAs supported these trends. While observed no correlation between
<italic>ephrin</italic>
ligand expression and clinical outcome in microarray datasets, ephrin-A1 and EphA2 protein co-expression was significantly associated with recurrence in Stage I prognostic breast cancer TMAs. Our data suggest that several Eph family members are clinically relevant and tractable targets for intervention in human breast cancer. Moreover, profiling Eph receptor expression patterns in the context of relevant ligands and in the context of stage may be valuable in terms of diagnostics and treatment.</p>
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<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PLoS One</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosone</journal-id>
<journal-title-group>
<journal-title>PLoS ONE</journal-title>
</journal-title-group>
<issn pub-type="epub">1932-6203</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">21935409</article-id>
<article-id pub-id-type="pmc">3174170</article-id>
<article-id pub-id-type="publisher-id">PONE-D-11-14906</article-id>
<article-id pub-id-type="doi">10.1371/journal.pone.0024426</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
<subj-group subj-group-type="Discipline-v2">
<subject>Biology</subject>
<subj-group>
<subject>Biochemistry</subject>
<subj-group>
<subject>Biomacromolecule-Ligand Interactions</subject>
</subj-group>
</subj-group>
<subj-group>
<subject>Biophysics</subject>
<subj-group>
<subject>Biomacromolecule-Ligand Interactions</subject>
</subj-group>
</subj-group>
<subj-group>
<subject>Computational Biology</subject>
<subj-group>
<subject>Molecular Genetics</subject>
<subj-group>
<subject>Gene Expression</subject>
</subj-group>
</subj-group>
</subj-group>
<subj-group>
<subject>Genetics</subject>
<subj-group>
<subject>Gene Expression</subject>
</subj-group>
</subj-group>
<subj-group>
<subject>Molecular Cell Biology</subject>
<subj-group>
<subject>Signal Transduction</subject>
<subj-group>
<subject>Signaling Cascades</subject>
<subj-group>
<subject>Tyrosine Kinase Signaling Cascade</subject>
</subj-group>
</subj-group>
</subj-group>
<subj-group>
<subject>Gene Expression</subject>
</subj-group>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v2">
<subject>Medicine</subject>
<subj-group>
<subject>Diagnostic Medicine</subject>
<subj-group>
<subject>Pathology</subject>
<subj-group>
<subject>General Pathology</subject>
<subj-group>
<subject>Biomarkers</subject>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
<subj-group>
<subject>Obstetrics and Gynecology</subject>
<subj-group>
<subject>Breast Cancer</subject>
</subj-group>
</subj-group>
<subj-group>
<subject>Oncology</subject>
<subj-group>
<subject>Cancers and Neoplasms</subject>
<subj-group>
<subject>Breast Tumors</subject>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
<subj-group subj-group-type="Discipline-v2">
<subject>Physics</subject>
<subj-group>
<subject>Biophysics</subject>
<subj-group>
<subject>Biomacromolecule-Ligand Interactions</subject>
</subj-group>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Eph/Ephrin Profiling in Human Breast Cancer Reveals Significant Associations between Expression Level and Clinical Outcome</article-title>
<alt-title alt-title-type="running-head">Eph/Ephrin Expression Breast Cancer Outcome</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Brantley-Sieders</surname>
<given-names>Dana M.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Aixiang</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sarma</surname>
<given-names>Krishna</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Badu-Nkansah</surname>
<given-names>Akosua</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Walter</surname>
<given-names>Debra L.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shyr</surname>
<given-names>Yu</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Jin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="corresp" rid="cor1">
<sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
<addr-line>Veterans Affairs Medical Center, Tennessee Valley Healthcare System, Nashville, Tennessee, United States of America</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>Department of Medicine, Vanderbilt University School of Medicine, Nashville, Tennessee, United State of America</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Department of Cell and Developmental Biology, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>Vanderbilt-Ingram Comprehensive Cancer Center, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America</addr-line>
</aff>
<aff id="aff6">
<label>6</label>
<addr-line>Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America</addr-line>
</aff>
<aff id="aff7">
<label>7</label>
<addr-line>Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee, United States of America</addr-line>
</aff>
<contrib-group>
<contrib contrib-type="editor">
<name>
<surname>Zhang</surname>
<given-names>Lin</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1">University of Pennsylvania School of Medicine, United States of America</aff>
<author-notes>
<corresp id="cor1">* E-mail:
<email>jin.chen@vanderbilt.edu</email>
</corresp>
<fn fn-type="con">
<p>Conceived and designed the experiments: DB-S YS JC. Performed the experiments: DB-S AJ KS AB-N DW. Analyzed the data: DB-S AJ KS AB-N DW. Contributed reagents/materials/analysis tools: DB-S AJ JC. Wrote the paper: DB-S AJ YS JC.</p>
</fn>
</author-notes>
<pub-date pub-type="collection">
<year>2011</year>
</pub-date>
<pub-date pub-type="epub">
<day>15</day>
<month>9</month>
<year>2011</year>
</pub-date>
<volume>6</volume>
<issue>9</issue>
<elocation-id>e24426</elocation-id>
<history>
<date date-type="received">
<day>2</day>
<month>8</month>
<year>2011</year>
</date>
<date date-type="accepted">
<day>8</day>
<month>8</month>
<year>2011</year>
</date>
</history>
<permissions>
<copyright-statement>Brantley-Sieders et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</copyright-statement>
<copyright-year>2011</copyright-year>
</permissions>
<abstract>
<p>Pre-clinical studies provide compelling evidence that Eph family receptor tyrosine kinases (RTKs) and ligands promote cancer growth, neovascularization, invasion, and metastasis. Tumor suppressive roles have also been reported for the receptors, however, creating a potential barrier for clinical application. Determining how these observations relate to clinical outcome is a crucial step for translating the biological and mechanistic data into new molecularly targeted therapies. We investigated
<italic>eph</italic>
and
<italic>ephrin</italic>
expression in human breast cancer relative to endpoints of overall and/or recurrence-free survival in large microarray datasets. We also investigated protein expression in commercial human breast tissue microarrays (TMA) and Stage I prognostic TMAs linked to recurrence outcome data. We found significant correlations between
<italic>ephA2</italic>
,
<italic>ephA4</italic>
,
<italic>ephA7</italic>
,
<italic>ephB4</italic>
, and
<italic>ephB6</italic>
and overall and/or recurrence-free survival in large microarray datasets. Protein expression in TMAs supported these trends. While observed no correlation between
<italic>ephrin</italic>
ligand expression and clinical outcome in microarray datasets, ephrin-A1 and EphA2 protein co-expression was significantly associated with recurrence in Stage I prognostic breast cancer TMAs. Our data suggest that several Eph family members are clinically relevant and tractable targets for intervention in human breast cancer. Moreover, profiling Eph receptor expression patterns in the context of relevant ligands and in the context of stage may be valuable in terms of diagnostics and treatment.</p>
</abstract>
<counts>
<page-count count="9"></page-count>
</counts>
</article-meta>
</front>
</pmc>
</record>

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