Differential Gene Expression in Primary Breast Tumors Associated with Lymph Node Metastasis
Identifieur interne : 003004 ( Pmc/Checkpoint ); précédent : 003003; suivant : 003005Differential Gene Expression in Primary Breast Tumors Associated with Lymph Node Metastasis
Auteurs : Rachel E. Ellsworth [États-Unis] ; Lori A. Field [États-Unis] ; Brad Love [États-Unis] ; Jennifer L. Kane [États-Unis] ; Jeffrey A. Hooke [États-Unis] ; Craig D. Shriver [États-Unis]Source :
- International Journal of Breast Cancer [ 2090-3170 ] ; 2011.
Abstract
Lymph node status remains one of the most useful prognostic indicators in breast cancer; however, current methods to assess nodal status disrupt the lymphatic system and may lead to secondary complications. Identification of molecular signatures discriminating lymph node-positive from lymph node-negative primary tumors would allow for stratification of patients requiring surgical assesment of lymph nodes. Primary breast tumors from women with negative (
Url:
DOI: 10.4061/2011/142763
PubMed: 22295210
PubMed Central: 3262584
Affiliations:
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Differential Gene Expression in Primary Breast Tumors Associated with Lymph Node Metastasis</title>
<author><name sortKey="Ellsworth, Rachel E" sort="Ellsworth, Rachel E" uniqKey="Ellsworth R" first="Rachel E." last="Ellsworth">Rachel E. Ellsworth</name>
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<author><name sortKey="Field, Lori A" sort="Field, Lori A" uniqKey="Field L" first="Lori A." last="Field">Lori A. Field</name>
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<wicri:regionArea>Clinical Breast Care Project, Windber Research Institute, 620 Seventh Street, Windber, PA 15963</wicri:regionArea>
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<author><name sortKey="Love, Brad" sort="Love, Brad" uniqKey="Love B" first="Brad" last="Love">Brad Love</name>
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<author><name sortKey="Kane, Jennifer L" sort="Kane, Jennifer L" uniqKey="Kane J" first="Jennifer L." last="Kane">Jennifer L. Kane</name>
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<author><name sortKey="Shriver, Craig D" sort="Shriver, Craig D" uniqKey="Shriver C" first="Craig D." last="Shriver">Craig D. Shriver</name>
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<series><title level="j">International Journal of Breast Cancer</title>
<idno type="ISSN">2090-3170</idno>
<idno type="eISSN">2090-3189</idno>
<imprint><date when="2011">2011</date>
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<front><div type="abstract" xml:lang="en"><p>Lymph node status remains one of the most useful prognostic indicators in breast cancer; however, current methods to assess nodal status disrupt the lymphatic system and may lead to secondary complications. Identification of molecular signatures discriminating lymph node-positive from lymph node-negative primary tumors would allow for stratification of patients requiring surgical assesment of lymph nodes. Primary breast tumors from women with negative (<italic>n</italic>
= 41) and positive (<italic>n</italic>
= 35) lymph node status matched for possible confounding factors were subjected to laser microdissection and gene expression data generated. Although ANOVA analysis (<italic>P</italic>
< .001, fold-change >1.5) revealed 13 differentially expressed genes, hierarchical clustering classified 90% of node-negative but only 66% of node-positive tumors correctly. The inability to derive molecular profiles of metastasis in primary tumors may reflect tumor heterogeneity, paucity of cells within the primary tumor with metastatic potential, influence of the microenvironment, or inherited host susceptibility to metastasis.</p>
</div>
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<author><name sortKey="Hunter, Kw" uniqKey="Hunter K">KW Hunter</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Int J Breast Cancer</journal-id>
<journal-id journal-id-type="iso-abbrev">Int J Breast Cancer</journal-id>
<journal-id journal-id-type="publisher-id">IJBC</journal-id>
<journal-title-group><journal-title>International Journal of Breast Cancer</journal-title>
</journal-title-group>
<issn pub-type="ppub">2090-3170</issn>
<issn pub-type="epub">2090-3189</issn>
<publisher><publisher-name>SAGE-Hindawi Access to Research</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">22295210</article-id>
<article-id pub-id-type="pmc">3262584</article-id>
<article-id pub-id-type="doi">10.4061/2011/142763</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Differential Gene Expression in Primary Breast Tumors Associated with Lymph Node Metastasis</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Ellsworth</surname>
<given-names>Rachel E.</given-names>
</name>
<xref ref-type="aff" rid="I1"><sup>1</sup>
</xref>
<xref ref-type="corresp" rid="cor1">*</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Field</surname>
<given-names>Lori A.</given-names>
</name>
<xref ref-type="aff" rid="I2"><sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Love</surname>
<given-names>Brad</given-names>
</name>
<xref ref-type="aff" rid="I3"><sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Kane</surname>
<given-names>Jennifer L.</given-names>
</name>
<xref ref-type="aff" rid="I2"><sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Hooke</surname>
<given-names>Jeffrey A.</given-names>
</name>
<xref ref-type="aff" rid="I4"><sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Shriver</surname>
<given-names>Craig D.</given-names>
</name>
<xref ref-type="aff" rid="I4"><sup>4</sup>
</xref>
</contrib>
</contrib-group>
<aff id="I1"><sup>1</sup>
Clinical Breast Care Project, Henry M. Jackson Foundation for the Advancement of Military Medicine, 620 Seventh Street, Windber, PA 15963, USA</aff>
<aff id="I2"><sup>2</sup>
Clinical Breast Care Project, Windber Research Institute, 620 Seventh Street, Windber, PA 15963, USA</aff>
<aff id="I3"><sup>3</sup>
BioReka, LLC, 211 Locknell Road, Timonium, MD 21093, USA</aff>
<aff id="I4"><sup>4</sup>
Clinical Breast Care Project, Walter Reed Army Medical Center, 6900 Georgia Avenue NW, Washington, DC 20307, USA</aff>
<author-notes><corresp id="cor1">*Rachel E. Ellsworth: <email>r.ellsworth@wriwindber.org</email>
</corresp>
<fn fn-type="other"><p>Academic Editor: Luciane R. Cavalli</p>
</fn>
</author-notes>
<pub-date pub-type="ppub"><year>2011</year>
</pub-date>
<pub-date pub-type="epub"><day>15</day>
<month>5</month>
<year>2011</year>
</pub-date>
<volume>2011</volume>
<elocation-id>142763</elocation-id>
<history><date date-type="received"><day>1</day>
<month>11</month>
<year>2010</year>
</date>
<date date-type="accepted"><day>24</day>
<month>2</month>
<year>2011</year>
</date>
</history>
<permissions><copyright-statement>Copyright © 2011 Rachel E. Ellsworth et al.</copyright-statement>
<copyright-year>2011</copyright-year>
<license xlink:href="https://creativecommons.org/licenses/by/3.0/"><license-p>This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<abstract><p>Lymph node status remains one of the most useful prognostic indicators in breast cancer; however, current methods to assess nodal status disrupt the lymphatic system and may lead to secondary complications. Identification of molecular signatures discriminating lymph node-positive from lymph node-negative primary tumors would allow for stratification of patients requiring surgical assesment of lymph nodes. Primary breast tumors from women with negative (<italic>n</italic>
= 41) and positive (<italic>n</italic>
= 35) lymph node status matched for possible confounding factors were subjected to laser microdissection and gene expression data generated. Although ANOVA analysis (<italic>P</italic>
< .001, fold-change >1.5) revealed 13 differentially expressed genes, hierarchical clustering classified 90% of node-negative but only 66% of node-positive tumors correctly. The inability to derive molecular profiles of metastasis in primary tumors may reflect tumor heterogeneity, paucity of cells within the primary tumor with metastatic potential, influence of the microenvironment, or inherited host susceptibility to metastasis.</p>
</abstract>
</article-meta>
</front>
<floats-group><fig id="fig1" position="float"><label>Figure 1</label>
<caption><p>Heat map and hierarchical clustering of 76 primary tumor samples based on 15 differentially expressed probes. Tumors from patients with negative lymph node status are represented in the dendrogram by blue bars and tumors from patients with positive lymph node status are represented by red bars. 4/41 tumors with negative lymph nodes and 12/35 tumors with positive lymph nodes were classified incorrectly. Red squares: high expression, blue: low expression.</p>
</caption>
<graphic xlink:href="IJBC2011-142763.001"></graphic>
</fig>
<table-wrap id="tab1" position="float"><label>Table 1</label>
<caption><p>Clinical and pathological features of 76 invasive breast tumor specimens used in microarray analysis.</p>
</caption>
<table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="1" colspan="1"></th>
<th align="center" rowspan="1" colspan="1">Node negative <break></break>
(<italic>n</italic>
= 41)</th>
<th align="center" rowspan="1" colspan="1">Node positive <break></break>
(<italic>n</italic>
= 35)</th>
<th align="center" rowspan="1" colspan="1">P node− versus node+</th>
</tr>
</thead>
<tbody><tr><td align="left" rowspan="1" colspan="1">Age</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> <50 years</td>
<td align="center" rowspan="1" colspan="1">37%</td>
<td align="center" rowspan="1" colspan="1">34%</td>
<td align="center" rowspan="2" colspan="1"> NS</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> ≥50 years</td>
<td align="center" rowspan="1" colspan="1">63%</td>
<td align="center" rowspan="1" colspan="1">66%</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Histology</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> IDCA</td>
<td align="center" rowspan="1" colspan="1">95%</td>
<td align="center" rowspan="1" colspan="1">86%</td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> ILCA</td>
<td align="center" rowspan="1" colspan="1">5%</td>
<td align="center" rowspan="1" colspan="1">9%</td>
<td align="center" rowspan="1" colspan="1">NS</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> Mixed</td>
<td align="center" rowspan="1" colspan="1">0%</td>
<td align="center" rowspan="1" colspan="1">5%</td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Grade</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> Well-differentiated</td>
<td align="center" rowspan="1" colspan="1">27%</td>
<td align="center" rowspan="1" colspan="1">9%</td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> Moderately-differentiated</td>
<td align="center" rowspan="1" colspan="1">29%</td>
<td align="center" rowspan="1" colspan="1">43%</td>
<td align="center" rowspan="1" colspan="1">NS</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> Poorly-differentiated</td>
<td align="center" rowspan="1" colspan="1">44%</td>
<td align="center" rowspan="1" colspan="1">48%</td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Hormone receptor status<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> ER+/PR+</td>
<td align="center" rowspan="1" colspan="1">54%</td>
<td align="center" rowspan="1" colspan="1">51%</td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> ER+/PR−</td>
<td align="center" rowspan="1" colspan="1">22%</td>
<td align="center" rowspan="1" colspan="1">12%</td>
<td align="center" rowspan="1" colspan="1">NS</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> ER−/PR−</td>
<td align="center" rowspan="1" colspan="1">24%</td>
<td align="center" rowspan="1" colspan="1">37%</td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">HER2 Status</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> Positive</td>
<td align="center" rowspan="1" colspan="1">20%</td>
<td align="center" rowspan="1" colspan="1">26%</td>
<td align="center" rowspan="2" colspan="1"> NS</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> Negative</td>
<td align="center" rowspan="1" colspan="1">80%</td>
<td align="center" rowspan="1" colspan="1">74%</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">Tumor Size</td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> T1</td>
<td align="center" rowspan="1" colspan="1">63%</td>
<td align="center" rowspan="1" colspan="1">42%</td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> T2</td>
<td align="center" rowspan="1" colspan="1">34%</td>
<td align="center" rowspan="1" colspan="1">54%</td>
<td align="center" rowspan="1" colspan="1">NS</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"> T3</td>
<td align="center" rowspan="1" colspan="1">3%</td>
<td align="center" rowspan="1" colspan="1">4%</td>
<td align="center" rowspan="1" colspan="1"></td>
</tr>
</tbody>
</table>
<table-wrap-foot><fn><p><sup>a</sup>
No cases of ER−/PR+ were identified in this group of tumors.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="tab2" position="float"><label>Table 2</label>
<caption><p>Fifteen probes demonstrating significant differences in expression level between tumors with and without lymph node metastases. KIAA1609 and SLC27A2 were represented by multiple probes.</p>
</caption>
<table frame="hsides" rules="groups"><thead><tr><th align="left" rowspan="1" colspan="1">Gene symbol</th>
<th align="center" rowspan="1" colspan="1">Accession number</th>
<th align="left" rowspan="1" colspan="1">Gene name</th>
<th align="center" rowspan="1" colspan="1">Probe ID</th>
<th align="center" rowspan="1" colspan="1"><italic>P</italic>
value</th>
<th align="center" rowspan="1" colspan="1">Fold-change</th>
</tr>
</thead>
<tbody><tr><td align="center" colspan="6" rowspan="1">Genes downregulated in node-positive primary tumors </td>
</tr>
<tr><td align="center" colspan="6" rowspan="1"><hr></hr>
</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">ABCC8</td>
<td align="center" rowspan="1" colspan="1">NM_000352</td>
<td align="left" rowspan="1" colspan="1">ATP-binding cassette, subfamily C (CFTR/MRP), member 8</td>
<td align="center" rowspan="1" colspan="1">210246_s_at</td>
<td align="center" rowspan="1" colspan="1">.000889</td>
<td align="center" rowspan="1" colspan="1">1.67</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">BATF</td>
<td align="center" rowspan="1" colspan="1">NM_006399</td>
<td align="left" rowspan="1" colspan="1">Basic leucine zipper transcription factor, ATF-like</td>
<td align="center" rowspan="1" colspan="1">205965_at</td>
<td align="center" rowspan="1" colspan="1">.000874</td>
<td align="center" rowspan="1" colspan="1">1.51</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">IGFBP6</td>
<td align="center" rowspan="1" colspan="1">NM_002178</td>
<td align="left" rowspan="1" colspan="1">Insulin-like growth factor binding protein 6</td>
<td align="center" rowspan="1" colspan="1">203851_at</td>
<td align="center" rowspan="1" colspan="1">.000679</td>
<td align="center" rowspan="1" colspan="1">1.55</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">MRPL40</td>
<td align="center" rowspan="1" colspan="1">NM_003776</td>
<td align="left" rowspan="1" colspan="1">Mitochondrial ribosomal protein L40</td>
<td align="center" rowspan="1" colspan="1">203152_at</td>
<td align="center" rowspan="1" colspan="1">2.14E-05</td>
<td align="center" rowspan="1" colspan="1">1.57</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">SLC27A2</td>
<td align="center" rowspan="1" colspan="1">NM_003645</td>
<td align="left" rowspan="1" colspan="1">Solute carrier family 27 (fatty acid transporter), member 2</td>
<td align="center" rowspan="1" colspan="1">205768_s_at</td>
<td align="center" rowspan="1" colspan="1">.000413</td>
<td align="center" rowspan="1" colspan="1">2.34</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">205769_at</td>
<td align="center" rowspan="1" colspan="1">.000921</td>
<td align="center" rowspan="1" colspan="1">2.12 </td>
</tr>
<tr><td align="center" colspan="6" rowspan="1"><hr></hr>
</td>
</tr>
<tr><td align="center" colspan="6" rowspan="1">Genes upregulated in node-positive primary tumors </td>
</tr>
<tr><td align="center" colspan="6" rowspan="1"><hr></hr>
</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">—<sup>a</sup>
</td>
<td align="center" rowspan="1" colspan="1">AL050145</td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">215526_at</td>
<td align="center" rowspan="1" colspan="1">.000477</td>
<td align="center" rowspan="1" colspan="1">1.55</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">AURKA</td>
<td align="center" rowspan="1" colspan="1">NM_198433</td>
<td align="left" rowspan="1" colspan="1">Aurora kinase A</td>
<td align="center" rowspan="1" colspan="1">208079_s_at</td>
<td align="center" rowspan="1" colspan="1">.000512</td>
<td align="center" rowspan="1" colspan="1">1.80</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">KIAA1609</td>
<td align="center" rowspan="1" colspan="1">NM_020947</td>
<td align="left" rowspan="1" colspan="1">KIAA1609</td>
<td align="center" rowspan="1" colspan="1">221843_s_at</td>
<td align="center" rowspan="1" colspan="1">1.25E-05</td>
<td align="center" rowspan="1" colspan="1">1.66</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1"></td>
<td align="left" rowspan="1" colspan="1"></td>
<td align="center" rowspan="1" colspan="1">65438_at</td>
<td align="center" rowspan="1" colspan="1">1.53E-05</td>
<td align="center" rowspan="1" colspan="1">1.73</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">KIF23</td>
<td align="center" rowspan="1" colspan="1">NM_138555</td>
<td align="left" rowspan="1" colspan="1">Kinesin family member 23</td>
<td align="center" rowspan="1" colspan="1">204709_s_at</td>
<td align="center" rowspan="1" colspan="1">.000675</td>
<td align="center" rowspan="1" colspan="1">1.82</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">PLCB1</td>
<td align="center" rowspan="1" colspan="1">NM_015192</td>
<td align="left" rowspan="1" colspan="1">Phospholipase C, beta 1 (phosphoinositide-specific)</td>
<td align="center" rowspan="1" colspan="1">213222_at</td>
<td align="center" rowspan="1" colspan="1">.000612</td>
<td align="center" rowspan="1" colspan="1">2.05</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">RPL13</td>
<td align="center" rowspan="1" colspan="1">NM_033251</td>
<td align="left" rowspan="1" colspan="1">Ribosomal protein L13</td>
<td align="center" rowspan="1" colspan="1">214976_at</td>
<td align="center" rowspan="1" colspan="1">.000129</td>
<td align="center" rowspan="1" colspan="1">1.64</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">TCP1</td>
<td align="center" rowspan="1" colspan="1">NM_030752</td>
<td align="left" rowspan="1" colspan="1">T-complex 1</td>
<td align="center" rowspan="1" colspan="1">208778_s_at</td>
<td align="center" rowspan="1" colspan="1">.000183</td>
<td align="center" rowspan="1" colspan="1">1.51</td>
</tr>
<tr><td align="left" rowspan="1" colspan="1">TGFA</td>
<td align="center" rowspan="1" colspan="1">NM_003236// NM_001099691<sup>b</sup>
</td>
<td align="left" rowspan="1" colspan="1">Transforming growth factor, alpha</td>
<td align="center" rowspan="1" colspan="1">205016_at</td>
<td align="center" rowspan="1" colspan="1">.000233</td>
<td align="center" rowspan="1" colspan="1">1.77</td>
</tr>
</tbody>
</table>
<table-wrap-foot><fn><p><sup>a</sup>
This probe corresponds to UniGene cluster HS.225986 but not to a known gene.</p>
</fn>
<fn><p><sup>b</sup>
This probe represents both isoforms 1 and 2 of the TGFA gene.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</pmc>
<affiliations><list><country><li>États-Unis</li>
</country>
</list>
<tree><country name="États-Unis"><noRegion><name sortKey="Ellsworth, Rachel E" sort="Ellsworth, Rachel E" uniqKey="Ellsworth R" first="Rachel E." last="Ellsworth">Rachel E. Ellsworth</name>
</noRegion>
<name sortKey="Field, Lori A" sort="Field, Lori A" uniqKey="Field L" first="Lori A." last="Field">Lori A. Field</name>
<name sortKey="Hooke, Jeffrey A" sort="Hooke, Jeffrey A" uniqKey="Hooke J" first="Jeffrey A." last="Hooke">Jeffrey A. Hooke</name>
<name sortKey="Kane, Jennifer L" sort="Kane, Jennifer L" uniqKey="Kane J" first="Jennifer L." last="Kane">Jennifer L. Kane</name>
<name sortKey="Love, Brad" sort="Love, Brad" uniqKey="Love B" first="Brad" last="Love">Brad Love</name>
<name sortKey="Shriver, Craig D" sort="Shriver, Craig D" uniqKey="Shriver C" first="Craig D." last="Shriver">Craig D. Shriver</name>
</country>
</tree>
</affiliations>
</record>
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