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Intraoperative molecular analysis of sentinel lymph nodes following neoadjuvant chemotherapy in patients with clinical node negative breast cancer: An institutional study

Identifieur interne : 000867 ( Pmc/Checkpoint ); précédent : 000866; suivant : 000868

Intraoperative molecular analysis of sentinel lymph nodes following neoadjuvant chemotherapy in patients with clinical node negative breast cancer: An institutional study

Auteurs : David Parada [Espagne] ; Karla B. Pe A [Espagne] ; F. Francesc Riu [Espagne] ; A. Esther Aguilar [Espagne] ; Sebastian Cohan [Espagne]

Source :

RBID : PMC:5103850

Abstract

Sentinel lymph node biopsy (SLNB) is an accurate, safe method for determining the axillary lymph node status. However, insufficient evidence exists to support the recommendation of SLNB in patients who have had neoadjuvant chemotherapy (NAC) to downsize tumours and allow for breast conservation surgery. The present study aimed to use molecular approaches to evaluate the feasibility and accuracy of SLNB in patients treated with NAC prior to SLN mapping and surgery. A total of 50 consecutive patients with operable invasive breast carcinomas who had received prior NAC were assessed using the one-step nucleic acid amplification (OSNA) method. The rate of SLN identification was 100%. The OSNA assay showed that 29 patients (58%) were negative for SLN and 21 patients (42%) were positive. In 19 of these 21 patients (90.48%), the SLN was the only positive lymph node. No axillary lymph nodes metastases were observed in patients with isolated tumour cells or with micrometastases. The OSNA assay is a highly sensitive, specific and reproducible diagnostic technique that can be used to analyse SLNs following NAC. The total tumoral load may assist with predicting additional non-SLN metastases.


Url:
DOI: 10.3892/mco.2016.1025
PubMed: 27882235
PubMed Central: 5103850


Affiliations:


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PMC:5103850

Le document en format XML

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<p>Sentinel lymph node biopsy (SLNB) is an accurate, safe method for determining the axillary lymph node status. However, insufficient evidence exists to support the recommendation of SLNB in patients who have had neoadjuvant chemotherapy (NAC) to downsize tumours and allow for breast conservation surgery. The present study aimed to use molecular approaches to evaluate the feasibility and accuracy of SLNB in patients treated with NAC prior to SLN mapping and surgery. A total of 50 consecutive patients with operable invasive breast carcinomas who had received prior NAC were assessed using the one-step nucleic acid amplification (OSNA) method. The rate of SLN identification was 100%. The OSNA assay showed that 29 patients (58%) were negative for SLN and 21 patients (42%) were positive. In 19 of these 21 patients (90.48%), the SLN was the only positive lymph node. No axillary lymph nodes metastases were observed in patients with isolated tumour cells or with micrometastases. The OSNA assay is a highly sensitive, specific and reproducible diagnostic technique that can be used to analyse SLNs following NAC. The total tumoral load may assist with predicting additional non-SLN metastases.</p>
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</back>
</TEI>
<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Mol Clin Oncol</journal-id>
<journal-id journal-id-type="iso-abbrev">Mol Clin Oncol</journal-id>
<journal-id journal-id-type="publisher-id">MCO</journal-id>
<journal-title-group>
<journal-title>Molecular and Clinical Oncology</journal-title>
</journal-title-group>
<issn pub-type="ppub">2049-9450</issn>
<issn pub-type="epub">2049-9469</issn>
<publisher>
<publisher-name>D.A. Spandidos</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">27882235</article-id>
<article-id pub-id-type="pmc">5103850</article-id>
<article-id pub-id-type="doi">10.3892/mco.2016.1025</article-id>
<article-id pub-id-type="publisher-id">MCO-0-0-1025</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Articles</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Intraoperative molecular analysis of sentinel lymph nodes following neoadjuvant chemotherapy in patients with clinical node negative breast cancer: An institutional study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Parada</surname>
<given-names>David</given-names>
</name>
<xref ref-type="aff" rid="af1-mco-0-0-1025">1</xref>
<xref ref-type="aff" rid="af2-mco-0-0-1025">2</xref>
<xref rid="fn1-mco-0-0-1025" ref-type="author-notes">*</xref>
<xref rid="c1-mco-0-0-1025" ref-type="corresp"></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Peña</surname>
<given-names>Karla B.</given-names>
</name>
<xref ref-type="aff" rid="af1-mco-0-0-1025">1</xref>
<xref ref-type="aff" rid="af2-mco-0-0-1025">2</xref>
<xref rid="fn1-mco-0-0-1025" ref-type="author-notes">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Riu</surname>
<given-names>F. Francesc</given-names>
</name>
<xref ref-type="aff" rid="af1-mco-0-0-1025">1</xref>
<xref ref-type="aff" rid="af2-mco-0-0-1025">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Aguilar</surname>
<given-names>A. Esther</given-names>
</name>
<xref ref-type="aff" rid="af3-mco-0-0-1025">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cohan</surname>
<given-names>Sebastian</given-names>
</name>
<xref ref-type="aff" rid="af4-mco-0-0-1025">4</xref>
</contrib>
</contrib-group>
<aff id="af1-mco-0-0-1025">
<label>1</label>
Department of Pathology, University Hospital Sant Joan de Reus, University Rovira i Virgill, E-43201 Tarragona, Spain</aff>
<aff id="af2-mco-0-0-1025">
<label>2</label>
Pere Virgili Health Research Institute (IISPV), University Rovira i Virgill, E-43201 Tarragona, Spain</aff>
<aff id="af3-mco-0-0-1025">
<label>3</label>
Department of Gynecology, University Hospital Sant Joan de Reus, E-43204 Tarragona, Spain</aff>
<aff id="af4-mco-0-0-1025">
<label>4</label>
Department of Radiodiagnostics, University Hospital Sant Joan de Reus, E-43204 Tarragona, Spain</aff>
<author-notes>
<corresp id="c1-mco-0-0-1025">
<italic>Correspondence to</italic>
: Dr David Parada, Department of Pathology, University Hospital Sant Joan de Reus, University Rovira i Virgill, Avenida del Dr. Josep Laporte 1, Reus, E-43201 Tarragona, Spain, E-mail:
<email>dparada@grupsagessa.com</email>
</corresp>
<fn id="fn1-mco-0-0-1025">
<label>*</label>
<p>Contributed equally</p>
</fn>
</author-notes>
<pub-date pub-type="ppub">
<month>11</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="epub">
<day>21</day>
<month>9</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="pmc-release">
<day>21</day>
<month>9</month>
<year>2016</year>
</pub-date>
<pmc-comment> PMC Release delay is 0 months and 0 days and was based on the . </pmc-comment>
<volume>5</volume>
<issue>5</issue>
<fpage>507</fpage>
<lpage>510</lpage>
<history>
<date date-type="received">
<day>03</day>
<month>2</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>7</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright: © Parada et al.</copyright-statement>
<copyright-year>2016</copyright-year>
<license license-type="open-access">
<license-p>This is an open access article distributed under the terms of the
<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by-nc-nd/4.0/">Creative Commons Attribution-NonCommercial-NoDerivs License</ext-link>
, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.</license-p>
</license>
</permissions>
<abstract>
<p>Sentinel lymph node biopsy (SLNB) is an accurate, safe method for determining the axillary lymph node status. However, insufficient evidence exists to support the recommendation of SLNB in patients who have had neoadjuvant chemotherapy (NAC) to downsize tumours and allow for breast conservation surgery. The present study aimed to use molecular approaches to evaluate the feasibility and accuracy of SLNB in patients treated with NAC prior to SLN mapping and surgery. A total of 50 consecutive patients with operable invasive breast carcinomas who had received prior NAC were assessed using the one-step nucleic acid amplification (OSNA) method. The rate of SLN identification was 100%. The OSNA assay showed that 29 patients (58%) were negative for SLN and 21 patients (42%) were positive. In 19 of these 21 patients (90.48%), the SLN was the only positive lymph node. No axillary lymph nodes metastases were observed in patients with isolated tumour cells or with micrometastases. The OSNA assay is a highly sensitive, specific and reproducible diagnostic technique that can be used to analyse SLNs following NAC. The total tumoral load may assist with predicting additional non-SLN metastases.</p>
</abstract>
<kwd-group>
<kwd>sentinel node</kwd>
<kwd>neoadjuvant chemotherapy</kwd>
<kwd>one-step nucleic acid amplification</kwd>
<kwd>breast</kwd>
<kwd>cancer</kwd>
<kwd>molecular</kwd>
</kwd-group>
</article-meta>
</front>
<floats-group>
<table-wrap id="tI-mco-0-0-1025" orientation="portrait" position="float">
<label>Table I.</label>
<caption>
<p>Patient and tumour characteristics.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="bottom" rowspan="1" colspan="1">Characteristics</th>
<th align="center" valign="bottom" rowspan="1" colspan="1">No.</th>
<th align="center" valign="bottom" rowspan="1" colspan="1">%</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Age</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  <50 years</td>
<td align="center" valign="top" rowspan="1" colspan="1">26</td>
<td align="center" valign="top" rowspan="1" colspan="1">52</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  >50 years</td>
<td align="center" valign="top" rowspan="1" colspan="1">24</td>
<td align="center" valign="top" rowspan="1" colspan="1">48</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Histological type</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  No special type</td>
<td align="center" valign="top" rowspan="1" colspan="1">44</td>
<td align="center" valign="top" rowspan="1" colspan="1">88</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  Special type</td>
<td align="center" valign="top" rowspan="1" colspan="1">  6</td>
<td align="center" valign="top" rowspan="1" colspan="1">12</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Nuclear grade</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  1</td>
<td align="center" valign="top" rowspan="1" colspan="1">  0</td>
<td align="center" valign="top" rowspan="1" colspan="1">  0</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  2</td>
<td align="center" valign="top" rowspan="1" colspan="1">21</td>
<td align="center" valign="top" rowspan="1" colspan="1">42</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  3</td>
<td align="center" valign="top" rowspan="1" colspan="1">29</td>
<td align="center" valign="top" rowspan="1" colspan="1">58</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Immunohistochemical-4 type</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  Luminal A</td>
<td align="center" valign="top" rowspan="1" colspan="1">  6</td>
<td align="center" valign="top" rowspan="1" colspan="1">12</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  Luminal B</td>
<td align="center" valign="top" rowspan="1" colspan="1">26</td>
<td align="center" valign="top" rowspan="1" colspan="1">52</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  HER2</td>
<td align="center" valign="top" rowspan="1" colspan="1">  7</td>
<td align="center" valign="top" rowspan="1" colspan="1">14</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  Triple negative</td>
<td align="center" valign="top" rowspan="1" colspan="1">11</td>
<td align="center" valign="top" rowspan="1" colspan="1">22</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Pathological T classification [post-treatment (ypT)]</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  pT0</td>
<td align="center" valign="top" rowspan="1" colspan="1">12</td>
<td align="center" valign="top" rowspan="1" colspan="1">24</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  pT1</td>
<td align="center" valign="top" rowspan="1" colspan="1">27</td>
<td align="center" valign="top" rowspan="1" colspan="1">54</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  pT2</td>
<td align="center" valign="top" rowspan="1" colspan="1">  7</td>
<td align="center" valign="top" rowspan="1" colspan="1">14</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  pT3</td>
<td align="center" valign="top" rowspan="1" colspan="1">  4</td>
<td align="center" valign="top" rowspan="1" colspan="1">  8</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Pathological response to chemotherapy</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  No response</td>
<td align="center" valign="top" rowspan="1" colspan="1">  2</td>
<td align="center" valign="top" rowspan="1" colspan="1">  4</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  Partial</td>
<td align="center" valign="top" rowspan="1" colspan="1">36</td>
<td align="center" valign="top" rowspan="1" colspan="1">72</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  Complete</td>
<td align="center" valign="top" rowspan="1" colspan="1">12</td>
<td align="center" valign="top" rowspan="1" colspan="1">24</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">No. of removed sentinel nodes</td>
<td rowspan="1" colspan="1"></td>
<td rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  1</td>
<td align="center" valign="top" rowspan="1" colspan="1">23</td>
<td align="center" valign="top" rowspan="1" colspan="1">46</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  2</td>
<td align="center" valign="top" rowspan="1" colspan="1">16</td>
<td align="center" valign="top" rowspan="1" colspan="1">32</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  3</td>
<td align="center" valign="top" rowspan="1" colspan="1">  9</td>
<td align="center" valign="top" rowspan="1" colspan="1">18</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">  4</td>
<td align="center" valign="top" rowspan="1" colspan="1">  2</td>
<td align="center" valign="top" rowspan="1" colspan="1">  4</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="tII-mco-0-0-1025" orientation="portrait" position="float">
<label>Table II.</label>
<caption>
<p>Response to chemotherapy according to IHC-4 type.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th rowspan="1" colspan="1"></th>
<th align="center" valign="bottom" colspan="3" rowspan="1">No. patients (%)</th>
</tr>
<tr>
<th rowspan="1" colspan="1"></th>
<th align="center" valign="bottom" colspan="3" rowspan="1">
<hr></hr>
</th>
</tr>
<tr>
<th align="left" valign="bottom" rowspan="1" colspan="1">IHC-4 type</th>
<th align="center" valign="bottom" rowspan="1" colspan="1">No response</th>
<th align="center" valign="bottom" rowspan="1" colspan="1">Partial response</th>
<th align="center" valign="bottom" rowspan="1" colspan="1">Complete response</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Luminal A</td>
<td align="center" valign="top" rowspan="1" colspan="1">0</td>
<td align="center" valign="top" rowspan="1" colspan="1">  5 (10)</td>
<td align="center" valign="top" rowspan="1" colspan="1">1 (2)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Luminal B</td>
<td align="center" valign="top" rowspan="1" colspan="1">1 (2)</td>
<td align="center" valign="top" rowspan="1" colspan="1">21 (42)</td>
<td align="center" valign="top" rowspan="1" colspan="1">4 (8)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">HER2</td>
<td align="center" valign="top" rowspan="1" colspan="1">0</td>
<td align="center" valign="top" rowspan="1" colspan="1">3 (6)</td>
<td align="center" valign="top" rowspan="1" colspan="1">4 (8)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Triple negative</td>
<td align="center" valign="top" rowspan="1" colspan="1">1 (2)</td>
<td align="center" valign="top" rowspan="1" colspan="1">  7 (14)</td>
<td align="center" valign="top" rowspan="1" colspan="1">3 (6)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1-mco-0-0-1025">
<p>IHC, immunohistochemistry.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</floats-group>
</pmc>
<affiliations>
<list>
<country>
<li>Espagne</li>
</country>
</list>
<tree>
<country name="Espagne">
<noRegion>
<name sortKey="Parada, David" sort="Parada, David" uniqKey="Parada D" first="David" last="Parada">David Parada</name>
</noRegion>
<name sortKey="Aguilar, A Esther" sort="Aguilar, A Esther" uniqKey="Aguilar A" first="A. Esther" last="Aguilar">A. Esther Aguilar</name>
<name sortKey="Cohan, Sebastian" sort="Cohan, Sebastian" uniqKey="Cohan S" first="Sebastian" last="Cohan">Sebastian Cohan</name>
<name sortKey="Parada, David" sort="Parada, David" uniqKey="Parada D" first="David" last="Parada">David Parada</name>
<name sortKey="Pe A, Karla B" sort="Pe A, Karla B" uniqKey="Pe A K" first="Karla B." last="Pe A">Karla B. Pe A</name>
<name sortKey="Pe A, Karla B" sort="Pe A, Karla B" uniqKey="Pe A K" first="Karla B." last="Pe A">Karla B. Pe A</name>
<name sortKey="Riu, F Francesc" sort="Riu, F Francesc" uniqKey="Riu F" first="F. Francesc" last="Riu">F. Francesc Riu</name>
<name sortKey="Riu, F Francesc" sort="Riu, F Francesc" uniqKey="Riu F" first="F. Francesc" last="Riu">F. Francesc Riu</name>
</country>
</tree>
</affiliations>
</record>

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