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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Association between Lymph Node Ratio and Disease Specific Survival in Breast Cancer Patients with One or Two Positive Lymph Nodes Stratified by Different Local Treatment Modalities</title><author><name sortKey="Hong, Ruoxi" sort="Hong, Ruoxi" uniqKey="Hong R" first="Ruoxi" last="Hong">Ruoxi Hong</name><affiliation><nlm:aff id="aff001"><addr-line>Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China</addr-line></nlm:aff></affiliation></author><author><name sortKey="Dai, Zhen" sort="Dai, Zhen" uniqKey="Dai Z" first="Zhen" last="Dai">Zhen Dai</name><affiliation><nlm:aff id="aff002"><addr-line>Chengdu Center for Disease Control and Prevention, Chengdu, China</addr-line></nlm:aff></affiliation></author><author><name sortKey="Zhu, Wenjie" sort="Zhu, Wenjie" uniqKey="Zhu W" first="Wenjie" last="Zhu">Wenjie Zhu</name><affiliation><nlm:aff id="aff001"><addr-line>Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China</addr-line></nlm:aff></affiliation></author><author><name sortKey="Xu, Binghe" sort="Xu, Binghe" uniqKey="Xu B" first="Binghe" last="Xu">Binghe Xu</name><affiliation><nlm:aff id="aff001"><addr-line>Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China</addr-line></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">26513258</idno><idno type="pmc">4626029</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4626029</idno><idno type="RBID">PMC:4626029</idno><idno type="doi">10.1371/journal.pone.0138908</idno><date when="2015">2015</date><idno type="wicri:Area/Pmc/Corpus">000440</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000440</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Association between Lymph Node Ratio and Disease Specific Survival in Breast Cancer Patients with One or Two Positive Lymph Nodes Stratified by Different Local Treatment Modalities</title><author><name sortKey="Hong, Ruoxi" sort="Hong, Ruoxi" uniqKey="Hong R" first="Ruoxi" last="Hong">Ruoxi Hong</name><affiliation><nlm:aff id="aff001"><addr-line>Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China</addr-line></nlm:aff></affiliation></author><author><name sortKey="Dai, Zhen" sort="Dai, Zhen" uniqKey="Dai Z" first="Zhen" last="Dai">Zhen Dai</name><affiliation><nlm:aff id="aff002"><addr-line>Chengdu Center for Disease Control and Prevention, Chengdu, China</addr-line></nlm:aff></affiliation></author><author><name sortKey="Zhu, Wenjie" sort="Zhu, Wenjie" uniqKey="Zhu W" first="Wenjie" last="Zhu">Wenjie Zhu</name><affiliation><nlm:aff id="aff001"><addr-line>Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China</addr-line></nlm:aff></affiliation></author><author><name sortKey="Xu, Binghe" sort="Xu, Binghe" uniqKey="Xu B" first="Binghe" last="Xu">Binghe Xu</name><affiliation><nlm:aff id="aff001"><addr-line>Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China</addr-line></nlm:aff></affiliation></author></analytic><series><title level="j">PLoS ONE</title><idno type="eISSN">1932-6203</idno><imprint><date when="2015">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec id="sec001"><title>Purpose</title><p>Results of the American College of Surgeons Oncology Group (ACOSOG) Z0011 trial indicated that complete axillary node dissection (ALND) may not be warranted in some breast cancer patients with low tumor burden who are undergoing breast-conserving surgery following whole-breast irradiation. However, this study did not address patients undergoing mastectomy or those undergoing breast-conserving surgery without whole-breast radiotherapy. Given that lymph node ratio (LNR; ratio of positive lymph nodes to the total number removed) has been shown to be a prognostic factor in breast cancer, we first sought to determine the prognostic value of LNR in a low risk population comparable to that of the Z0011 trial and further to investigate whether the prognostic significance differs with local treatment modality.</p></sec><sec id="sec002"><title>Method</title><p>We used the Surveillance Epidemiology and End Results (SEER) database to identify breast cancer patients with T1-T2 tumor and 1–2 positive nodes. Patients were subclassified by the local therapy they underwent for the primary tumor. The prognostic value of LNR in predicting disease-specific survival (DSS) was examined in each treatment group.</p></sec><sec id="sec003"><title>Results</title><p>A total of 53,109 patients were included. In the subgroup of 20,602 patients who underwent lumpectomy following radiotherapy, LNR was not found to be significantly associated with DSS in both the univariate and multivariate model. For the 4,664 patients treated with mastectomy following radiotherapy, 6,811 treated with lumpectomy without radiotherapy and 21,031 with mastectomy without radiotherapy, LNR independently predict DSS in each of these subgroups.</p></sec><sec id="sec004"><title>Conclusions</title><p>Our results <italic>add evidence to the concept</italic> that axillary dissection could be omitted in patients with one or two positive nodes following breast-conserving surgery and whole breast radiation.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Halsted, Ws" uniqKey="Halsted W">WS Halsted</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Fisher, B" uniqKey="Fisher B">B Fisher</name></author><author><name sortKey="Wolmark, N" uniqKey="Wolmark N">N Wolmark</name></author><author><name sortKey="Bauer, M" uniqKey="Bauer M">M Bauer</name></author><author><name sortKey="Redmond, C" uniqKey="Redmond C">C 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<front><journal-meta><journal-id journal-id-type="nlm-ta">PLoS One</journal-id><journal-id journal-id-type="iso-abbrev">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, CA USA</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">26513258</article-id><article-id pub-id-type="pmc">4626029</article-id><article-id pub-id-type="doi">10.1371/journal.pone.0138908</article-id><article-id pub-id-type="publisher-id">PONE-D-15-11467</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Association between Lymph Node Ratio and Disease Specific Survival in Breast Cancer Patients with One or Two Positive Lymph Nodes Stratified by Different Local Treatment Modalities</article-title><alt-title alt-title-type="running-head">LNR and DSS in Low-Risk Breast Cancer Patients</alt-title></title-group><contrib-group><contrib contrib-type="author" equal-contrib="yes"><name><surname>Hong</surname><given-names>Ruoxi</given-names></name><xref ref-type="aff" rid="aff001"><sup>1</sup></xref></contrib><contrib contrib-type="author" equal-contrib="yes"><name><surname>Dai</surname><given-names>Zhen</given-names></name><xref ref-type="aff" rid="aff002"><sup>2</sup></xref></contrib><contrib contrib-type="author"><name><surname>Zhu</surname><given-names>Wenjie</given-names></name><xref ref-type="aff" rid="aff001"><sup>1</sup></xref></contrib><contrib contrib-type="author"><name><surname>Xu</surname><given-names>Binghe</given-names></name><xref ref-type="aff" rid="aff001"><sup>1</sup></xref><xref rid="cor001" ref-type="corresp">*</xref></contrib></contrib-group><aff id="aff001"><label>1</label><addr-line>Department of Medical Oncology, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China</addr-line></aff><aff id="aff002"><label>2</label><addr-line>Chengdu Center for Disease Control and Prevention, Chengdu, China</addr-line></aff><contrib-group><contrib contrib-type="editor"><name><surname>Chu</surname><given-names>Pei-Yi</given-names></name><role>Editor</role><xref ref-type="aff" rid="edit1"></xref></contrib></contrib-group><aff id="edit1"><addr-line>School of Medicine, Fu Jen Catholic University, TAIWAN</addr-line></aff><author-notes><fn fn-type="conflict" id="coi001"><p><bold>Competing Interests: </bold>The authors have declared that no competing interests exist.</p></fn><fn fn-type="con" id="contrib001"><p>Conceived and designed the experiments: BX RH. Performed the experiments: RH WZ BX. Analyzed the data: ZD. Contributed reagents/materials/analysis tools: ZD. Wrote the paper: RH ZD WZ BX.</p></fn><corresp id="cor001">* E-mail: <email>xubinghe@medmail.com.cn</email></corresp></author-notes><pub-date pub-type="epub"><day>29</day><month>10</month><year>2015</year></pub-date><pub-date pub-type="collection"><year>2015</year></pub-date><volume>10</volume><issue>10</issue><elocation-id>e0138908</elocation-id><history><date date-type="received"><day>18</day><month>3</month><year>2015</year></date><date date-type="accepted"><day>6</day><month>9</month><year>2015</year></date></history><permissions><copyright-year>2015</copyright-year><copyright-holder>Hong et al</copyright-holder><license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited</license-p></license></permissions><self-uri content-type="pdf" xlink:type="simple" xlink:href="pone.0138908.pdf"></self-uri><abstract><sec id="sec001"><title>Purpose</title><p>Results of the American College of Surgeons Oncology Group (ACOSOG) Z0011 trial indicated that complete axillary node dissection (ALND) may not be warranted in some breast cancer patients with low tumor burden who are undergoing breast-conserving surgery following whole-breast irradiation. However, this study did not address patients undergoing mastectomy or those undergoing breast-conserving surgery without whole-breast radiotherapy. Given that lymph node ratio (LNR; ratio of positive lymph nodes to the total number removed) has been shown to be a prognostic factor in breast cancer, we first sought to determine the prognostic value of LNR in a low risk population comparable to that of the Z0011 trial and further to investigate whether the prognostic significance differs with local treatment modality.</p></sec><sec id="sec002"><title>Method</title><p>We used the Surveillance Epidemiology and End Results (SEER) database to identify breast cancer patients with T1-T2 tumor and 1–2 positive nodes. Patients were subclassified by the local therapy they underwent for the primary tumor. The prognostic value of LNR in predicting disease-specific survival (DSS) was examined in each treatment group.</p></sec><sec id="sec003"><title>Results</title><p>A total of 53,109 patients were included. In the subgroup of 20,602 patients who underwent lumpectomy following radiotherapy, LNR was not found to be significantly associated with DSS in both the univariate and multivariate model. For the 4,664 patients treated with mastectomy following radiotherapy, 6,811 treated with lumpectomy without radiotherapy and 21,031 with mastectomy without radiotherapy, LNR independently predict DSS in each of these subgroups.</p></sec><sec id="sec004"><title>Conclusions</title><p>Our results <italic>add evidence to the concept</italic> that axillary dissection could be omitted in patients with one or two positive nodes following breast-conserving surgery and whole breast radiation.</p></sec></abstract><funding-group><funding-statement>The authors have no support or funding to report.</funding-statement></funding-group><counts><fig-count count="1"></fig-count><table-count count="3"></table-count><page-count count="9"></page-count></counts><custom-meta-group><custom-meta id="data-availability"><meta-name>Data Availability</meta-name><meta-value>Data contain patient identifying information and are unsuitable for public deposition. Data may be requested from the corresponding author.</meta-value></custom-meta></custom-meta-group></article-meta><notes><title>Data Availability</title><p>Data contain patient identifying information and are unsuitable for public deposition. Data may be requested from the corresponding author.</p></notes></front><body><sec sec-type="intro" id="sec005"><title>Introduction</title><p>Axillary lymph node dissection (ALND) has been an integral part of breast cancer surgery since the introduction of radical mastectomy by William Halsted [<xref rid="pone.0138908.ref001" ref-type="bibr">1</xref>]. ALND reliably identifies axillary lymph node metastases and results in a high rate of local control [<xref rid="pone.0138908.ref002" ref-type="bibr">2</xref>,<xref rid="pone.0138908.ref003" ref-type="bibr">3</xref>]. In the early 1990s, sentinel lymph node dissection (SLND) was developed to allow accurate staging of breast cancer patients as node-positive or node-negative with less morbidity than ALND [<xref rid="pone.0138908.ref004" ref-type="bibr">4</xref>]. Over the next decade, SLND gradually replaced ALND in assessing nodal status in clinical node-negative patients [<xref rid="pone.0138908.ref005" ref-type="bibr">5</xref>,<xref rid="pone.0138908.ref006" ref-type="bibr">6</xref>]. Therefore, the role of ALND is mostly limited to preventing local recurrence. Whether ALND confers a survival advantage is controversial [<xref rid="pone.0138908.ref007" ref-type="bibr">7</xref>–<xref rid="pone.0138908.ref009" ref-type="bibr">9</xref>].</p><p>Traditionally, ALND was mandatory for patients with positive SLNs. Data from the American College of Surgeons Oncology Group (ACOSOG) Z0011 trial has challenged the role of ALND in node-positive breast cancer [<xref rid="pone.0138908.ref010" ref-type="bibr">10</xref>,<xref rid="pone.0138908.ref011" ref-type="bibr">11</xref>]. This study observed no statistically significant difference in local recurrence and overall survival (OS) for SLND and ALND compared to SLND alone in patients with T1-T2 tumors and one or two positive SLNs who were treated with lumpectomy following radiotherapy. These results indicated that ALND could be safely omitted in select patients with a low axillary tumor burden. However, the Z0011 trial did not address patients undergoing mastectomy or those undergoing lumpectomy without radiotherapy. In those patients, the role of ALND is currently under debate when SLND identifies a positive SLN [<xref rid="pone.0138908.ref012" ref-type="bibr">12</xref>,<xref rid="pone.0138908.ref013" ref-type="bibr">13</xref>].</p><p>A number of authors have reported better prognosis when an adequate number of LNs was removed by ALND [<xref rid="pone.0138908.ref014" ref-type="bibr">14</xref>,<xref rid="pone.0138908.ref015" ref-type="bibr">15</xref>]. However all of these investigations are retrospective, and the number of nodes considered adequate for ALND is controversial [<xref rid="pone.0138908.ref016" ref-type="bibr">16</xref>,<xref rid="pone.0138908.ref017" ref-type="bibr">17</xref>]. In the past decade, a growing number of studies have introduced lymph node ratio (LNR), defined as the ratio of positive LNs to the total number of removed LNs, as an important prognostic factor [<xref rid="pone.0138908.ref018" ref-type="bibr">18</xref>–<xref rid="pone.0138908.ref023" ref-type="bibr">23</xref>]. A higher ratio would indicate a worse prognosis. Unfortunately, data regarding the prognostic value of LNR in patients with a low axillary tumor burden are limited.</p><p>The aim of the present study was to determine the prognostic value of LNR in a low risk population comparable to the Z0011 trial and to investigate whether the prognostic significance differs in patients receiving different local treatment modalities. We used the Surveillance Epidemiology and End Results (SEER) database to identify patients with T1-T2 tumor and one or two positive nodes. Patients were sub-classified by local therapy of the primary tumor, and the prognostic value of LNR was examined in each treatment group.</p></sec><sec sec-type="materials|methods" id="sec006"><title>Materials and Methods</title><sec id="sec007"><title>Study population</title><p>For this study, we used the SEER database November 2013 submission [<xref rid="pone.0138908.ref024" ref-type="bibr">24</xref>]. Female patients over the age of 18 who were diagnosed between 1998 and 2006 with T1-T2 and one or two nodes positive for primary invasive ductal carcinoma (IDC) or invasive lobular carcinoma (ILC) were reviewed. Patients were excluded if they had stage III or IV disease, did not undergo surgical resection, or if the total number of nodes examined was unknown.</p><p>Patients were categorized into 4 subgroups based on the local therapy they underwent: BCS+RT (lumpectomy following radiotherapy), BCS (lumpectomy without radiotherapy), MT+RT (mastectomy following radiotherapy) and MT (mastectomy without radiotherapy). LNR was calculated by dividing the number of positive LNs by the total number of removed LNs. We first investigated the prognostic value of LNR as a continuous variable. Patients were also divided into 3 LNR risk groups (low risk: ≤0.20, intermediate risk: 0.21–0.65, and high risk: >0.65). The chosen LNR cut-off ratios were based on previously published studies [<xref rid="pone.0138908.ref019" ref-type="bibr">19</xref>].</p></sec><sec id="sec008"><title>Statistical analyses</title><p>Disease specific survival (DSS) was used as the primary endpoint. Survival was measured from the date of diagnosis to the date of death, the date last known to be alive, or 31 December 2011, when SEER ended the collection of data. For DSS, data for patients who died from causes other than breast cancer were censored at the time of death. To determine the effect of LNR on DSS, we performed a univariate survival analysis using the Kaplan-Meier method and log-rank test. A multivariate analysis of DSS was performed using the Cox proportional-hazards model with both forward and backward stepwise inclusion of factors, with an inclusion criterion of P ≤ 0.01 and an exclusion criterion of P > 0.01. Variables evaluated were age, tumor size, LNR (as both continuous variable and categorical variable), ER/PR status, histologic grade, race and marital status. All tests were 2-sided, and a p-value of < 0.05 was considered statistically significant. All analyses were performed using SAS software (version 9.3; SAS Institute Inc., Cary, NC).</p></sec></sec><sec sec-type="results" id="sec009"><title>Results</title><p>A total of 53,109 female patients with T1-T2 tumor and one or two positive axillary lymph nodes were identified from the SEER database. The median age at diagnosis was 57 years (range, 18–103 years), and the median follow-up time was 94 months (range, 0–167 months). Baseline characteristics of the patients receiving BCS+RT, BCS, MT+RT and MT were listed in <xref rid="pone.0138908.t001" ref-type="table">Table 1</xref>. To examine the validity of the LNR categories we used in the population of the current study, we did an analysis on DSS of different LNR categories in the selected cohort of 1–2 positive nodes. The 10-year DSS rates were 86%, 85% and 82% for the LNR low, intermediate-, and high-risk groups, with P value less than 0.001. This suggested that the cut-off value currently used can effectively stratifiy breast cancer patients with 1–2 positive nodes into different risk group.</p><table-wrap id="pone.0138908.t001" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0138908.t001</object-id><label>Table 1</label><caption><title>Baseline Characteristics.</title></caption><alternatives><graphic id="pone.0138908.t001g" xlink:href="pone.0138908.t001"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col></colgroup><thead><tr><th align="left" rowspan="1" colspan="1"></th><th align="left" rowspan="1" colspan="1">BCS+RT</th><th align="left" rowspan="1" colspan="1">BCS</th><th align="left" rowspan="1" colspan="1">MT</th><th align="left" rowspan="1" colspan="1">MT+RT</th><th align="left" rowspan="1" colspan="1">Total</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">No. of patients</td><td align="left" rowspan="1" colspan="1">20602</td><td align="left" rowspan="1" colspan="1">6811</td><td align="left" rowspan="1" colspan="1">21032</td><td align="left" rowspan="1" colspan="1">4664</td><td align="left" rowspan="1" colspan="1">53109</td></tr><tr><td align="left" rowspan="1" colspan="1">Median age (Range)</td><td align="left" rowspan="1" colspan="1">57 (21–100)</td><td align="left" rowspan="1" colspan="1">57 (22–103)</td><td align="left" rowspan="1" colspan="1">60 (22–100)</td><td align="left" rowspan="1" colspan="1">53 (23–97)</td><td align="left" rowspan="1" colspan="1">57 (21–103)</td></tr><tr><td align="left" rowspan="1" colspan="1">Year of diagnosis</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> 1998–2002</td><td align="left" rowspan="1" colspan="1">7628 (37.03%)</td><td align="left" rowspan="1" colspan="1">2350 (34.50%)</td><td align="left" rowspan="1" colspan="1">7917 (37.64%)</td><td align="left" rowspan="1" colspan="1">1846 (39.58%)</td><td align="left" rowspan="1" colspan="1">19741 (37.17%)</td></tr><tr><td align="left" rowspan="1" colspan="1"> 2002–2006</td><td align="left" rowspan="1" colspan="1">12974 (62.97%)</td><td align="left" rowspan="1" colspan="1">4461 (65.50%)</td><td align="left" rowspan="1" colspan="1">13115 (62.36%)</td><td align="left" rowspan="1" colspan="1">2818 (60.42%)</td><td align="left" rowspan="1" colspan="1">33368 (62.83%)</td></tr><tr><td align="left" rowspan="1" colspan="1">T1</td><td align="left" rowspan="1" colspan="1">13805 (67.01%)</td><td align="left" rowspan="1" colspan="1">4240 (62.25%)</td><td align="left" rowspan="1" colspan="1">10747 (51.10%)</td><td align="left" rowspan="1" colspan="1">1688 (36.19%)</td><td align="left" rowspan="1" colspan="1">30480 (57.39%)</td></tr><tr><td align="left" rowspan="1" colspan="1">T2</td><td align="left" rowspan="1" colspan="1">6797 (32.99%)</td><td align="left" rowspan="1" colspan="1">2571 (37.75%)</td><td align="left" rowspan="1" colspan="1">10285 (48.90%)</td><td align="left" rowspan="1" colspan="1">2976 (63.81%)</td><td align="left" rowspan="1" colspan="1">22629 (42.61%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Grade I-II</td><td align="left" rowspan="1" colspan="1">12634 (61.32%)</td><td align="left" rowspan="1" colspan="1">3892 (57.14%)</td><td align="left" rowspan="1" colspan="1">11793 (56.07%)</td><td align="left" rowspan="1" colspan="1">2256 (48.37%)</td><td align="left" rowspan="1" colspan="1">30575 (57.57%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Grade III-IV<xref rid="t001fn002" ref-type="table-fn">*</xref></td><td align="left" rowspan="1" colspan="1">7297 (35.42%)</td><td align="left" rowspan="1" colspan="1">2622 (38.50%)</td><td align="left" rowspan="1" colspan="1">8014 (38.10%)</td><td align="left" rowspan="1" colspan="1">2144 (45.97%)</td><td align="left" rowspan="1" colspan="1">20077 (37.80%)</td></tr><tr><td align="left" rowspan="1" colspan="1">ER positive</td><td align="left" rowspan="1" colspan="1">15785 (76.62%)</td><td align="left" rowspan="1" colspan="1">4585 (67.32%)</td><td align="left" rowspan="1" colspan="1">14755 (70.16%)</td><td align="left" rowspan="1" colspan="1">3220 (69.04%)</td><td align="left" rowspan="1" colspan="1">38345 (72.20%)</td></tr><tr><td align="left" rowspan="1" colspan="1">PR positive</td><td align="left" rowspan="1" colspan="1">13462 (65.34%)</td><td align="left" rowspan="1" colspan="1">3798 (55.76%)</td><td align="left" rowspan="1" colspan="1">12188 (57.95%)</td><td align="left" rowspan="1" colspan="1">2702 (57.93%)</td><td align="left" rowspan="1" colspan="1">32150 (60.54%)</td></tr><tr><td align="left" rowspan="1" colspan="1">One positive lymph node</td><td align="left" rowspan="1" colspan="1">15141 (73.49%)</td><td align="left" rowspan="1" colspan="1">4820 (70.77%)</td><td align="left" rowspan="1" colspan="1">14462 (68.76%)</td><td align="left" rowspan="1" colspan="1">2627 (56.33%)</td><td align="left" rowspan="1" colspan="1">37050 (69.76%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Two positive lymph nodes</td><td align="left" rowspan="1" colspan="1">5461 (26.51%)</td><td align="left" rowspan="1" colspan="1">1991 (29.23%)</td><td align="left" rowspan="1" colspan="1">6570 (31.24%)</td><td align="left" rowspan="1" colspan="1">2037 (43.67%)</td><td align="left" rowspan="1" colspan="1">16059 (30.24%)</td></tr><tr><td align="left" rowspan="1" colspan="1">No. of lymph nodes removed</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">Median</td><td align="left" rowspan="1" colspan="1">11 (1–57)</td><td align="left" rowspan="1" colspan="1">10 (1–48)</td><td align="left" rowspan="1" colspan="1">12 (1–90)</td><td align="left" rowspan="1" colspan="1">12 (1–62)</td><td align="left" rowspan="1" colspan="1">11 (1–90)</td></tr><tr><td align="left" rowspan="1" colspan="1"> 1–3</td><td align="left" rowspan="1" colspan="1">3446 (16.73%)</td><td align="left" rowspan="1" colspan="1">1265 (18.57%)</td><td align="left" rowspan="1" colspan="1">2095 (9.96%)</td><td align="left" rowspan="1" colspan="1">445 (9.54%)</td><td align="left" rowspan="1" colspan="1">7251 (13.65%)</td></tr><tr><td align="left" rowspan="1" colspan="1"> 4–6</td><td align="left" rowspan="1" colspan="1">2637 (12.80%)</td><td align="left" rowspan="1" colspan="1">817 (12.00%)</td><td align="left" rowspan="1" colspan="1">2323 (11.05%)</td><td align="left" rowspan="1" colspan="1">566 (12.14%)</td><td align="left" rowspan="1" colspan="1">6343 (11.94%)</td></tr><tr><td align="left" rowspan="1" colspan="1"> 6–9</td><td align="left" rowspan="1" colspan="1">2932 (14.23%)</td><td align="left" rowspan="1" colspan="1">1001 (14.70%)</td><td align="left" rowspan="1" colspan="1">3280 (15.60%)</td><td align="left" rowspan="1" colspan="1">709 (15.20%)</td><td align="left" rowspan="1" colspan="1">7922 (14.92%)</td></tr><tr><td align="left" rowspan="1" colspan="1"> ≥ 10</td><td align="left" rowspan="1" colspan="1">11587 (56.24%)</td><td align="left" rowspan="1" colspan="1">3728 (54.73%)</td><td align="left" rowspan="1" colspan="1">13334 (63.40%)</td><td align="left" rowspan="1" colspan="1">2944 (63.12%)</td><td align="left" rowspan="1" colspan="1">31593 (59.49%)</td></tr><tr><td align="left" rowspan="1" colspan="1">Lymph node ratio</td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1">≤ 0.02</td><td align="left" rowspan="1" colspan="1">15084 (73.22%)</td><td align="left" rowspan="1" colspan="1">4780 (70.18%)</td><td align="left" rowspan="1" colspan="1">16743 (79.61%)</td><td align="left" rowspan="1" colspan="1">3565 (76.44%)</td><td align="left" rowspan="1" colspan="1">40172 (75.64%)</td></tr><tr><td align="left" rowspan="1" colspan="1"> >0.2 and ≤0.65</td><td align="left" rowspan="1" colspan="1">4068 (19.75%)</td><td align="left" rowspan="1" colspan="1">1367 (20.07%)</td><td align="left" rowspan="1" colspan="1">3373 (16.04%)</td><td align="left" rowspan="1" colspan="1">840 (18.01%)</td><td align="left" rowspan="1" colspan="1">9648 (18.17%)</td></tr><tr><td align="left" rowspan="1" colspan="1">>0.65</td><td align="left" rowspan="1" colspan="1">1450 (7.04%)</td><td align="left" rowspan="1" colspan="1">664 (9.75%)</td><td align="left" rowspan="1" colspan="1">916 (4.36%)</td><td align="left" rowspan="1" colspan="1">259 (5.55%)</td><td align="left" rowspan="1" colspan="1">3289 (6.19%)</td></tr></tbody></table></alternatives><table-wrap-foot><fn id="t001fn001"><p><italic>Abbreviations</italic>: BCS = breast-conserving surgery; MT = mastectomy; RT = radiotherapy.</p></fn><fn id="t001fn002"><p>* Grade IV stands for undifferentiated, anaplastic, or not differentiated in the SEER coding system.</p></fn></table-wrap-foot></table-wrap><p>In the subgroup of 20,602 patients who underwent BCS+RT, the continuous variable of LNR did not show significant correlation with DSS in the multivariate model. In the multivariate analyses, age, T staging, ER/PR status, histological grade, race and marital status were initially included in the model as potential risk factors. Factors that were not selected by the stepwise procedure were subsequently omitted. When classifying the patients into LNR low-, intermediate-, and high-risk groups based on previously established cut-offs, there was no difference in DSS between these LNR risk groups (<xref rid="pone.0138908.g001" ref-type="fig">Fig 1A</xref>, p = 0.58). The 10-year DSS rates were 89%, 89%, and 88%, respectively. In the multivariate analysis, the categorized variable of LNR was not significantly associated with DSS (<xref rid="pone.0138908.t002" ref-type="table">Table 2</xref>).</p><fig id="pone.0138908.g001" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0138908.g001</object-id><label>Fig 1</label><caption><title>a-d. Kaplan-Meier DSS estimates of breast cancer patients with T1-T2 tumor and 1–2 nodes treated with BCS+RT, BCS, MT, or MT+RT: (a) Disease-specific survival according to LNR in patients receiving BCS+RT; (b) Disease-specific survival according to LNR in patients receiving BCS alone; (c) Disease-specific survival according to LNR in patients receiving MT+RT; (d) Disease-specific survival according to LNR in patients receiving MT alone.</title></caption><graphic xlink:href="pone.0138908.g001"></graphic></fig><table-wrap id="pone.0138908.t002" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0138908.t002</object-id><label>Table 2</label><caption><title>Multivariate analysis of disease-specific survival (DSS) for lymph node ratio (LNR) in patients who underwent BCS+RT, BCS, MT and MT+RT.</title></caption><alternatives><graphic id="pone.0138908.t002g" xlink:href="pone.0138908.t002"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col></colgroup><thead><tr><th align="left" rowspan="1" colspan="1">Variable</th><th align="left" rowspan="1" colspan="1">Reference</th><th colspan="3" align="center" rowspan="1">BCS+RT (n = 20602)</th><th colspan="3" align="center" rowspan="1">BCS (n = 6811)</th><th colspan="3" align="center" rowspan="1">MT (n = 21032)</th><th colspan="3" align="center" rowspan="1">MT+RT (n = 4664)</th></tr><tr><th align="left" rowspan="1" colspan="1"></th><th align="left" rowspan="1" colspan="1"></th><th align="center" rowspan="1" colspan="1">HR</th><th align="center" rowspan="1" colspan="1">95% CI</th><th align="center" rowspan="1" colspan="1">P</th><th align="center" rowspan="1" colspan="1">HR</th><th align="center" rowspan="1" colspan="1">95% CI</th><th align="center" rowspan="1" colspan="1">P</th><th align="center" rowspan="1" colspan="1">HR</th><th align="center" rowspan="1" colspan="1">95% CI</th><th align="center" rowspan="1" colspan="1">P</th><th align="center" rowspan="1" colspan="1">HR</th><th align="center" rowspan="1" colspan="1">95% CI</th><th align="center" rowspan="1" colspan="1">P</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1">Age at diagnosis</td><td align="left" rowspan="1" colspan="1"></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><td align="center" rowspan="1" colspan="1"></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><td align="center" rowspan="1" colspan="1"></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><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold> </bold> 40–59 yr (s)</td><td align="left" rowspan="1" colspan="1">Age 20–39 yr (s)</td><td align="center" rowspan="1" colspan="1">0.71</td><td align="center" rowspan="1" colspan="1">0.65–0.78</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">0.75</td><td align="center" rowspan="1" colspan="1">0.65–0.86</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">0.66</td><td align="center" rowspan="1" colspan="1">0.61–0.71</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">0.81</td><td align="center" rowspan="1" colspan="1">0.71–0.93</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold> </bold> ≥60 yr (s)</td><td align="left" rowspan="1" colspan="1">Age 20–39 yr (s)</td><td align="center" rowspan="1" colspan="1">-<xref rid="t002fn002" ref-type="table-fn">*</xref></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><td align="center" rowspan="1" colspan="1">-</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><td align="center" rowspan="1" colspan="1">-</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">Race</td><td align="left" rowspan="1" colspan="1"></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><td align="center" rowspan="1" colspan="1"></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><td align="center" rowspan="1" colspan="1"></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><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold> </bold> Black</td><td align="left" rowspan="1" colspan="1">White</td><td align="center" rowspan="1" colspan="1">1.32</td><td align="center" rowspan="1" colspan="1">1.15–1.50</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">1.59</td><td align="center" rowspan="1" colspan="1">1.33–1.91</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">1.43</td><td align="center" rowspan="1" colspan="1">1.29–1.60</td><td align="center" rowspan="1" colspan="1"><0.01</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"><bold> </bold> Others</td><td align="left" rowspan="1" colspan="1">White</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><td align="center" rowspan="1" colspan="1">-</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><td align="center" rowspan="1" colspan="1">-</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><td align="center" rowspan="1" colspan="1">-</td></tr><tr><td align="left" rowspan="1" colspan="1">Married status</td><td align="left" rowspan="1" colspan="1">Not married, unknown</td><td align="center" rowspan="1" colspan="1">0.85</td><td align="center" rowspan="1" colspan="1">0.78–0.93</td><td align="center" rowspan="1" colspan="1"><0.01</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><td align="center" rowspan="1" colspan="1">0.82</td><td align="center" rowspan="1" colspan="1">0.76–0.89</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">0.69</td><td align="center" rowspan="1" colspan="1">0.60–0.79</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">T2 stage</td><td align="left" rowspan="1" colspan="1">T1 (size ≤ 2cm)</td><td align="center" rowspan="1" colspan="1">2.05</td><td align="center" rowspan="1" colspan="1">1.87–2.25</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">1.88</td><td align="center" rowspan="1" colspan="1">1.63–2.17</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">1.81</td><td align="center" rowspan="1" colspan="1">1.67–1.95</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">1.38</td><td align="center" rowspan="1" colspan="1">1.18–1.62</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">Hormone receptor</td><td align="left" rowspan="1" colspan="1"></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><td align="center" rowspan="1" colspan="1"></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><td align="center" rowspan="1" colspan="1"></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><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold> </bold> ER+,PR+</td><td align="left" rowspan="1" colspan="1">ER+/-, -/+,unknown</td><td align="center" rowspan="1" colspan="1">0.61</td><td align="center" rowspan="1" colspan="1">0.55–0.69</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">0.63</td><td align="center" rowspan="1" colspan="1">0.54–0.73</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">0.76</td><td align="center" rowspan="1" colspan="1">0.69–0.83</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">0.62</td><td align="center" rowspan="1" colspan="1">0.54–0.72</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold> </bold> ER-,PR-</td><td align="left" rowspan="1" colspan="1">ER+/-, -/+,unknown</td><td align="center" rowspan="1" colspan="1">1.23</td><td align="center" rowspan="1" colspan="1">1.08–1.39</td><td align="center" rowspan="1" colspan="1"><0.01</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><td align="center" rowspan="1" colspan="1">1.62</td><td align="center" rowspan="1" colspan="1">1.47–1.80</td><td align="center" rowspan="1" colspan="1"><0.01</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">Histologic grade III-IV</td><td align="left" rowspan="1" colspan="1">Grade I-II, unknown</td><td align="center" rowspan="1" colspan="1">1.95</td><td align="center" rowspan="1" colspan="1">1.76–2.16</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">1.84</td><td align="center" rowspan="1" colspan="1">1.59–2.14</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">1.62</td><td align="center" rowspan="1" colspan="1">1.50–1.76</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">1.71</td><td align="center" rowspan="1" colspan="1">1.47–1.99</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr><tr><td align="left" rowspan="1" colspan="1">IDC</td><td align="left" rowspan="1" colspan="1">ILC</td><td align="center" 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">-</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><td align="center" rowspan="1" colspan="1">-</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><td align="center" rowspan="1" colspan="1">-</td></tr><tr><td align="left" rowspan="1" colspan="1">LNR</td><td align="left" rowspan="1" colspan="1"></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><td align="center" rowspan="1" colspan="1"></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><td align="center" rowspan="1" colspan="1"></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><td align="center" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"><bold> </bold> >0.2 and ≤0.65</td><td align="left" rowspan="1" colspan="1">≤ 0.02</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><td align="center" rowspan="1" colspan="1">1.49</td><td align="center" rowspan="1" colspan="1">1.25–1.76</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">1.27</td><td align="center" rowspan="1" colspan="1">1.15–1.40</td><td align="center" rowspan="1" colspan="1"><0.01</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"><bold> </bold> >0.65</td><td align="left" rowspan="1" colspan="1">≤0.0 2</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><td align="center" rowspan="1" colspan="1">2.43</td><td align="center" rowspan="1" colspan="1">2.00–2.95</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">1.61</td><td align="center" rowspan="1" colspan="1">1.36–1.90</td><td align="center" rowspan="1" colspan="1"><0.01</td><td align="center" rowspan="1" colspan="1">1.74</td><td align="center" rowspan="1" colspan="1">1.34–2.25</td><td align="center" rowspan="1" colspan="1"><0.01</td></tr></tbody></table></alternatives><table-wrap-foot><fn id="t002fn001"><p><italic>Abbreviations</italic>: BCS = breast-conserving surgery; MT = mastectomy; RT = radiotherapy.</p></fn><fn id="t002fn002"><p>* Variables eliminated by stepwise method.</p></fn></table-wrap-foot></table-wrap><p>Additional analyses were conducted by applying the LNR risk categories to the remaining subgroups, including patients who received BCS (n = 6,811), MT (n = 21,032) and MT+RT (n = 4,664). In each of these subgroups, the Kaplan-Meier curve for DSS was significantly separated between different LNR risk groups (<xref rid="pone.0138908.g001" ref-type="fig">Fig 1B, 1C and 1D</xref>). The 10-year DSS rates of each treatment group stratified by LNR categories were listed in <xref rid="pone.0138908.t003" ref-type="table">Table 3</xref>. Multivariate analyses also demonstrated the significant correlation of LNR with DSS in the above subgroups (<xref rid="pone.0138908.t002" ref-type="table">Table 2</xref>).</p><table-wrap id="pone.0138908.t003" orientation="portrait" position="float"><object-id pub-id-type="doi">10.1371/journal.pone.0138908.t003</object-id><label>Table 3</label><caption><title>Disease-specific survival (DSS) rates in each treatment group stratified by LNR categories.</title></caption><alternatives><graphic id="pone.0138908.t003g" xlink:href="pone.0138908.t003"></graphic><table frame="hsides" rules="groups"><colgroup span="1"><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col><col align="left" valign="middle" span="1"></col></colgroup><thead><tr><th align="left" rowspan="1" colspan="1"></th><th align="left" rowspan="1" colspan="1">BCS+RT</th><th align="left" rowspan="1" colspan="1">BCS</th><th align="left" rowspan="1" colspan="1">MT+RT</th><th align="left" rowspan="1" colspan="1">MT</th></tr></thead><tbody><tr><td align="left" rowspan="1" colspan="1"><bold>10-year DSS rate</bold></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td><td align="left" rowspan="1" colspan="1"></td></tr><tr><td align="left" rowspan="1" colspan="1"> LNR low risk</td><td align="left" rowspan="1" colspan="1">0.89 (0.88–0.90)</td><td align="left" rowspan="1" colspan="1">0.88 (0.86–0.90)</td><td align="left" rowspan="1" colspan="1">0.81 (0.79–0.83)</td><td align="left" rowspan="1" colspan="1">0.84 (0.83–0.85)</td></tr><tr><td align="left" rowspan="1" colspan="1"> LNR intermediate risk</td><td align="left" rowspan="1" colspan="1">0.89 (0.87–0.91)</td><td align="left" rowspan="1" colspan="1">0.84 (0.82–0.86)</td><td align="left" rowspan="1" colspan="1">0.81 (0.77–0.85)</td><td align="left" rowspan="1" colspan="1">0.82 (0.80–0.84)</td></tr><tr><td align="left" rowspan="1" colspan="1"><bold> </bold> LNR high risk</td><td align="left" rowspan="1" colspan="1">0.88 (0.86–0.90)</td><td align="left" rowspan="1" colspan="1">0.77 (0.74–0.81)</td><td align="left" rowspan="1" colspan="1">0.71 (0.63–0.79)</td><td align="left" rowspan="1" colspan="1">0.78 (0.74–0.82)</td></tr></tbody></table></alternatives><table-wrap-foot><fn id="t003fn001"><p><italic>Abbreviations</italic>: BCS = breast-conserving surgery; MT = mastectomy; RT = radiotherapy.</p></fn></table-wrap-foot></table-wrap></sec><sec sec-type="conclusions" id="sec010"><title>Discussion</title><p>The absolute number of positive axillary LNs is traditionally accepted as an important prognostic factor in breast cancer patients, reflected in the current TNM classification [<xref rid="pone.0138908.ref025" ref-type="bibr">25</xref>]. In the past decade, several studies have highlighted the prognostic value of LNR. Using a bootstrap sampling method, Vinh-Hung et al [<xref rid="pone.0138908.ref019" ref-type="bibr">19</xref>] identified cutoff values for LNR which classified patients into low- (≤0.20), intermediate- (0.21–0.65), and high-risk (>0.65) LNR groups. They concluded that these LNR cutoff values predict breast cancer prognosis more accurately than pN categories and could be considered as an alternative to pN staging.</p><p>Even in some low-risk breast cancer patients, the prognostic value of LNR has been demonstrated [<xref rid="pone.0138908.ref026" ref-type="bibr">26</xref>]. Kim et al analyzed 3,477 patients with T1-T2 and pN1 breast cancer, and verified the clinical significance of LNR categorized by cutoff values similar to the Vinh-Hung et al’s study. Another cohort study included 309,216 cases from the National Cancer Database (NCDB) with tumors up to 5 cm and one or two positive nodes [<xref rid="pone.0138908.ref027" ref-type="bibr">27</xref>]. The authors concluded that LNR is an independent predictor of OS in this low-risk population and that the number of lymph nodes examined may influence the accuracy of prognostic stratification. However, they did not have data regarding type of surgery and thus were unable to sub-classify patients accordingly.</p><p>Although these studies have demonstrated the important role of LNR in node-positive breast cancer patients, the debate on the extent of axillary surgery has continued since the publication of the ACOSOG Z0011 trial results [<xref rid="pone.0138908.ref010" ref-type="bibr">10</xref>]. This clinical trial included patients with T1-T2 tumors and negative clinical node status and one or two positive SLNs. Participants were randomized to undergo ALND or no further axillary surgery. All participants received breast-conserving therapy with radiotherapy. Adjuvant systemic therapy was administrated in more than 90% of the participants. After a median follow-up of 6.3 years, no difference was shown for locoregional control and OS between the two treatment groups. Based on these results, the current St. Gallen Consensus guidelines recommended that axillary dissection could be omitted in the context of breast-conserving surgery and radiotherapy for patients with one or two positive sentinel nodes. The panel was divided regarding whether this practice could be applied to mastectomy following radiotherapy, although was almost unanimous in the need for axillary dissection if no radiotherapy was delivered [<xref rid="pone.0138908.ref028" ref-type="bibr">28</xref>].</p><p>One goal of our study was to investigate whether the Z0011 trial results could apply to a SEER population. An analysis was conducted on a comparable subgroup of 20,602 patients with T1-T2 tumors,and one or two positive lymph nodes who had been treated with BCS+RT. LNR was not found to be significantly associated with DSS in both the univariate and multivariate model. These results demonstrated that the number of lymph nodes dissected did not influence DSS in this particular low-risk population. We use DSS as the primary endpoint for the consideration that it specifically describes the mortality caused by breast cancer. Since this analysis is based on a large, population-based cohort with limited follow-up duration, OS rate may largely be confounded by deaths due to causes other than breast cancer. Therefore, we believe that our results support the concept that axillary node dissection could be omitted in select patients with positive LNs.</p><p>Several variables were included in the multivariate analysis, including disease relevant ones (tumor size, hormonal status, grade, LNR, etc.). We also included race and marital status in this analysis, for the reason that these two factors has been shown to influence breast cancer survival in some previous studies [<xref rid="pone.0138908.ref029" ref-type="bibr">29</xref>, <xref rid="pone.0138908.ref030" ref-type="bibr">30</xref>, <xref rid="pone.0138908.ref031" ref-type="bibr">31</xref>]. In a SEER based study of the impact of marital status on survival of patients with cancer, after adjusting for demographics, tumor and nodal stage, and use of definitive therapy, breast cancer patients who were married were significantly less likely to die of their disease (HR, 0.80; 95% CI, 0.79 to 0.81;P < .001). For breast cancer patients, the survival benefit associated with marriage was larger than the published survival benefit of chemotherapy [<xref rid="pone.0138908.ref031" ref-type="bibr">31</xref>]. HER-2 status was not included in this analysis because it was not available in the SEER database.</p><p>Another subgroup analysis was conducted on 4,664 patients treated with MT+RT, 6,811 treated with BCS and 21,031 with MT. LNR was an independent predictor of DSS in each of these subgroups. These results may support the conclusion that ALND should not be omitted in the above circumstances. Importantly, it should be noted that more patients in the MT and MT+RT group had T2 disease and two positive LNs than the BCS and BCS+RT group. Thus, this assumption needs careful evaluation. As others have shown, adequate axillary surgery not only provides additional information to predict prognosis and guide treatment planning, it may also improve survival [<xref rid="pone.0138908.ref007" ref-type="bibr">7</xref>,<xref rid="pone.0138908.ref032" ref-type="bibr">32</xref>,<xref rid="pone.0138908.ref033" ref-type="bibr">33</xref>]. However, as ALND has been shown to be associated with a significant risk of complications such as lymphedema, arm paresthesia and pain, the potential benefit must be weighed against the morbidity of the procedure [<xref rid="pone.0138908.ref034" ref-type="bibr">34</xref>–<xref rid="pone.0138908.ref036" ref-type="bibr">36</xref>].</p><p>We recognize there are limitations with our study. Firstly, this is a retrospective analysis of a population-based database and, therefore, is prone to confounding and bias. Secondly, we do not have data regarding systemic therapy. One of the significant characteristics of the Z0011 trial population is that more than 90% of them received adjuvant systemic therapy. However, given current practices, the majority of breast cancer patients with a positive LN will be treated with systemic therapy. In an analysis of the NCDB database with similar inclusion criteria, only 17% of the patients did not receive either systemic chemotherapy or endocrine therapy [<xref rid="pone.0138908.ref027" ref-type="bibr">27</xref>]. Another limitation is that the LNR categories used in this study are based on the results of Vinh-Hung et al., which were generated based upon a patient population different from the population in the current study. Furthermore, information on locoregional recurrences or distant metastases was not available in the SEER database. We therefore were unable to determine the prognostic value of LNR in predicting disease-free survival. 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