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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2022.877617</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>High Expression of RECQL Protein in ER-Positive Breast Tumours Is Associated With a Better Survival</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Mahmoodi</surname>
<given-names>Ardalan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1819017/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shoqafi</surname>
<given-names>Ahmed</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sun</surname>
<given-names>Ping</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Giannakeas</surname>
<given-names>Vasily</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1633911"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cybulski</surname>
<given-names>Cezary</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nofech-Mozes</surname>
<given-names>Sharon</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Masson</surname>
<given-names>Jean-Yves</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sharma</surname>
<given-names>Sudha</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/125091"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Samani</surname>
<given-names>Amir Abbas</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Madhusudan</surname>
<given-names>Srinivasan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1775895"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Narod</surname>
<given-names>Steven A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/788775"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Akbari</surname>
<given-names>Mohammad R.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/338763"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Women&#x2019;s College Research Institute, Women&#x2019;s College Hospital, University of Toronto</institution>, <addr-line>Toronto, ON</addr-line>, <country>Canada</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Institute of Medical Science, Faculty of Medicine, University of Toronto</institution>, <addr-line>Toronto, ON</addr-line>, <country>Canada</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Nottingham Biodiscovery Institute, School of Medicine, University of Nottingham</institution>, <addr-line>Nottingham</addr-line>, <country>United Kingdom</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Laboratory Medicine and Pathology, Faculty of Medicine, University of Toronto</institution>, <addr-line>Toronto, ON</addr-line>, <country>Canada</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>International Hereditary Cancer Center, Department of Genetics and Pathology, Pomeranian Medical University in Szczecin</institution>, <addr-line>Szczecin</addr-line>, <country>Poland</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Sunnybrook Health Science Centre, University of Toronto</institution>, <addr-line>Toronto, ON</addr-line>, <country>Canada</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Genome Stability Laboratory, Centre Hospitalier Universitaire (CHU) de Qu&#xe9;bec Research Center, Oncology Axis, Department of Molecular Biology, Medical Biochemistry and Pathology, Laval University Cancer Research Center</institution>, <addr-line>Qu&#xe9;bec, QC</addr-line>, <country>Canada</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Department of Biochemistry and Molecular Biology, College of Medicine, Howard University</institution>, <addr-line>Washington, DC</addr-line>, <country>United States</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>National Human Genome Center, College of Medicine, Howard University</institution>, <addr-line>Washington, DC</addr-line>, <country>United States</country>
</aff>
<aff id="aff10">
<sup>10</sup>
<institution>Humber River Hospital, University of Toronto</institution>, <addr-line>Toronto, ON</addr-line>, <country>Canada</country>
</aff>
<aff id="aff11">
<sup>11</sup>
<institution>Dalla Lana School of Public Health, University of Toronto</institution>, <addr-line>Toronto, ON</addr-line>, <country>Canada</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Adayabalam Sambasivan Balajee, Oak Ridge Institute for Science and Education (ORISE), United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Pete Simpson, The University of Queensland, Australia; Lawrence Panasci, Segal Cancer Centre, Canada</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Mohammad R. Akbari, <email xlink:href="mailto:mohammad.akbari@utoronto.ca">mohammad.akbari@utoronto.ca</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Breast Cancer, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>31</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>877617</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Mahmoodi, Shoqafi, Sun, Giannakeas, Cybulski, Nofech-Mozes, Masson, Sharma, Samani, Madhusudan, Narod and Akbari</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Mahmoodi, Shoqafi, Sun, Giannakeas, Cybulski, Nofech-Mozes, Masson, Sharma, Samani, Madhusudan, Narod and Akbari</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>RECQL (also known as RECQ1 and RECQL1) is a gene of recent interest in breast cancer and an association between high levels of RECQL protein in breast cancer tumour cells and good survival of patients has been reported.</p>
</sec>
<sec>
<title>Methods</title>
<p>To validate this association, we measured the RECQL protein levels in tumours of 933 breast cancer patients using immunohistochemistry analysis and followed the patients for death from breast cancer.</p>
</sec>
<sec>
<title>Results</title>
<p>Women with a level of RECQL protein above the 75th percentile had better 15-year disease-specific survival among ER-positive patients (62.5% vs. 48.7%, HR= 0.72, 95%CI= 0.52-0.98, p-value = 0.04), but not among ER- patients (48.9% vs. 48.0%, HR= 1.07, 95%CI= 0.67-1.69, p-value= 0.79). Among the ER-negative patients, high RECQL protein levels were associated with better survival among women who received tamoxifen treatment (67.0% vs. 51.5%, HR= 0.64, 95%CI= 0.41-0.99, p-value= 0.04).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>RECQL might be a new predictive marker for tamoxifen treatment among ER-positive patients.</p>
</sec>
</abstract>
<kwd-group>
<kwd>breast cancer</kwd>
<kwd>RECQL</kwd>
<kwd>survival</kwd>
<kwd>ER-positive</kwd>
<kwd>expression</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="42"/>
<page-count count="9"/>
<word-count count="3762"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Altered expression levels of several genes in breast cancer predict patient prognosis. A correlation has been observed between poor breast cancer prognosis and lower levels of RECQL (also known as RECQ1 and RECQL1) mRNA or RECQL protein expression (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). RECQL is the smallest and most abundant member of the RecQ family of DNA helicases (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). It has two main domains; the core helicase domain, involved in ATP binding and hydrolysis, and the RecQ C-terminal domain (RQC) which play an essential role in the unwinding of DNA (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). RECQL performs its helicase activity in an ATP-dependent manner in a 3&#x2019; to 5&#x2019; direction (<xref ref-type="bibr" rid="B7">7</xref>). As a helicase, it has many essential functions in DNA replication, such as maintaining the DNA replication fork progression and restarting stalled replication forks (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). It is also involved in maintaining genome stability, double-strand break repair, and telomere maintenance (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>). In addition to its roles as a DNA helicase, RECQL is involved in branch migration of Holiday junctions and strand annealing (<xref ref-type="bibr" rid="B7">7</xref>). The depletion of this helicase could impair normal cellular function and lead to increased DNA damage and compromised genome stability.</p>
<p>An association between mutations in RECQL and breast cancer susceptibility was first reported by Cybulski et al. (<xref ref-type="bibr" rid="B15">15</xref>). Other studies have supported this association (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>) but there have been negative studies as well (<xref ref-type="bibr" rid="B22">22</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>). It has also been suggested that RECQL is a susceptibility gene for familial colorectal cancer (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>In addition to the cancer susceptibility role, RECQL was suggested to be a prognostic marker. In a study by Arora et al. low RECQL mRNA and protein levels in breast tumours were associated with poor breast cancer prognosis (<xref ref-type="bibr" rid="B1">1</xref>). This correlation was observed in a second study which showed low RECQL protein levels were correlated with poor survival (HR: 2.12, p-value: 0.015) (<xref ref-type="bibr" rid="B2">2</xref>). Furthermore, in a recent study, the cellular mechanism by which RECQL affects ER-positive cells was proposed, wherein RECQL in cooperation with FOXA1, directly regulates the expression of the ESR1 gene which encodes the ER&#x3b1; protein (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>To investigate this association further, we measured the RECQL protein levels in tumours from 933 breast cancer patients by immunohistochemistry (IHC) and analyzed their 15-year survival.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Study Population</title>
<p>This study was conducted by analyzing patients from the Banting study (<xref ref-type="bibr" rid="B29">29</xref>). Total of 1,601 breast cancer patients were diagnosed and enrolled between 1987 to 1999 in the Banting study and their therapy reflected the commonly used treatments during that time period. Data files and tumour samples from 933 breast cancer patients were available and analyzed in this study. Patients were followed from the date of diagnosis to the date of death from breast cancer or the date of last follow up (if alive). The average follow-up was 12.1 years (range: 0 to 31.3 years). The age at diagnosis ranged from 24 to 93 (mean 55.4 years). 55.1% of subjects were post-menopausal at diagnosis and 77.0% were ER-positive. The majority of ER-positive patients received tamoxifen (60.6%). No other endocrine therapy was used.</p>
</sec>
<sec id="s2_2">
<title>Tissue Microarray and Immunohistochemistry</title>
<p>Tissue microarrays (TMA) were made from 0.6-mm cores sampled from the formalin-fixed paraffin-embedded tumour blocks. Each TMA contains three cores from each tumour block. Immunohistochemical staining for the RECQL protein was conducted based on a previously described method (<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B33">33</xref>) by using a combination of Thermo Scientific Shandon Sequenza chamber system (REF: 72110017), Novolink Max Polymer Detection System (RE7280-K: 1,250 tests), and the Leica Bond Primary Antibody Diluent (AR9352), according to the manufacturer&#x2019;s instructions (Leica Microsystems). The slides were dewaxed and dehydrated by Leica Autostainer XL machine. TMA sections were pretreated with sodium citrate buffer (pH 6.0) and heated for 20 minutes at 95 &#xb0;C in a microwave (Whirlpool JT359 Jet Chef 1000W) for antigen retrieval. Each set of slides was incubated with primary anti-RECQL antibody (Bethyl Laboratories, catalog no. A300-450A) at a dilution of 1:1,000 for 60 minutes. For each run, positive and negative controls were included. Negative control was utilized to reassure all the staining was because of specific antibody-antigen interaction. The negative control slide had only breast tissue without adding any antibody to it. The positive control slide was a liver tissue with known expression of RECQL to control for the reactivity of the RECQL antibody and also breast cancer tissue stained with an antibody for &#x3b2;-globulin to control for the reactivity of immunohistochemistry enzyme.</p>
</sec>
<sec id="s2_3">
<title>IHC Evaluation</title>
<p>After scoring whole-field inspection of the cores, intensities of the nuclear stainings were classified (0 = no staining, 1 = weak staining, 2 = moderate staining, and 3 = strong staining; <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). For each intensity classification, the percentage of the stained nuclei was estimated. An H-index (range 0-300) was calculated by multiplying the staining intensity score by the percentage of stained nuclei for each core. For each tumour sample, the median H-index of the three core replicates was used for the data analysis. The distribution of the median H-index for the entire cohort was shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>. The mean and median of the coefficient of variation (CV) of H-index for the three cores across all samples were 10.4% and 6.9%, respectively.</p>
</sec>
<sec id="s2_4">
<title>Statistical Analysis</title>
<p>Subjects were divided into two groups based on their RECQL protein levels (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). We considered a high RECQL level to be one in the highest quartile (n = 205) and a medium/low RECQL level to be one in the bottom three quartiles (n = 728). This classification had the best performance in terms of distinguishing patients with poor from good survival compared to using the first quartile or median as the cut-off point. Student t tests and Fisher exact tests were used as appropriate. Estimation of cumulative survival probabilities was conducted by the Kaplan&#x2013;Meier method. A log-rank test was performed for analyzing the difference between survival. A Cox proportional hazards model was used to conduct a multivariate survival analysis. Hazard ratios and 95% CIs (95% confidence intervals) for each variable were estimated. All statistical tests were two-sided. A p-value &lt; 0.05 was considered to be significant. SAS (version 9.4) was used for the data analysis</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Comparison of clinicopathological characteristics between patients with medium/low versus high RECQL protein levels.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables </th>
<th valign="top" align="center">Medium/Low RECQL Protein Level N = 728</th>
<th valign="top" align="center">High RECQL protein Level N = 205</th>
<th valign="top" align="center">p-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age at diagnosis (years)</td>
<td valign="top" align="center">55.6 (24.5-93.4)</td>
<td valign="top" align="center">54.6 (27.8-90.1)</td>
<td valign="top" align="center">0.35</td>
</tr>
<tr>
<td valign="top" align="left">Follow-up (years)</td>
<td valign="top" align="center">12.2 (0-31.3)</td>
<td valign="top" align="center">11.6 (0.7-30.2)</td>
<td valign="top" align="center">0.31</td>
</tr>
<tr>
<td valign="top" align="left">Tumor size (mm)</td>
<td valign="top" align="center">27.3 (0-130)</td>
<td valign="top" align="center">24.2 (7.0-90.0)</td>
<td valign="top" align="center">0.01</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Menopause status</td>
</tr>
<tr>
<td valign="top" align="left">Post<break/>Pre<break/>Missing</td>
<td valign="top" align="center">409 (56.3%)<break/>318 (43.7%)<break/>1</td>
<td valign="top" align="center">105 (51.2%)<break/>100 (48.8%)</td>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Nodes</td>
</tr>
<tr>
<td valign="top" align="left">Negative<break/>Positive<break/>Missing</td>
<td valign="top" align="center">285 (43.9%)<break/>364 (56.1%)<break/>79</td>
<td valign="top" align="center">97 (52.2%)<break/>89 (47.9%)<break/>19</td>
<td valign="top" align="center">0.05</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">ER</td>
</tr>
<tr>
<td valign="top" align="left">Negative<break/>Positive<break/>missing</td>
<td valign="top" align="center">148 (20.4%)<break/>578 (79.6%)<break/>2</td>
<td valign="top" align="center">63 (31.0%)<break/>140 (69.0%)<break/>2</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">PR</td>
</tr>
<tr>
<td valign="top" align="left">Negative<break/>Positive<break/>Missing</td>
<td valign="top" align="center">276 (38.0%)<break/>450 (62.0%)<break/>2</td>
<td valign="top" align="center">94 (46.5%)<break/>108 (53.5%)<break/>3</td>
<td valign="top" align="center">0.03</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Her2</td>
</tr>
<tr>
<td valign="top" align="left">Negative<break/>Positive<break/>missing</td>
<td valign="top" align="center">493 (68.4%)<break/>288 (31.6%)<break/>7</td>
<td valign="top" align="center">122 (75.8%)<break/>39 (24.2%)<break/>44</td>
<td valign="top" align="center">0.06</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Triple negative</td>
</tr>
<tr>
<td valign="top" align="left">Negative<break/>positive<break/>Missing</td>
<td valign="top" align="center">635 (87.7%)<break/>89 (12.3%)<break/>4</td>
<td valign="top" align="center">156 (82.1%)<break/>34 (17.9%)<break/>15</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Chemotherapy</td>
</tr>
<tr>
<td valign="top" align="left">No<break/>Yes<break/>missing</td>
<td valign="top" align="center">452 (63.3%)<break/>262 (36.7%)<break/>14</td>
<td valign="top" align="center">101 (49.5%)<break/>103 (50.5%)<break/>1</td>
<td valign="top" align="center">0.0004</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Antracyclines in Chemotherapy</td>
</tr>
<tr>
<td valign="top" align="left">No<break/>Yes</td>
<td valign="top" align="center">186 (71.0%)<break/>76 (29.0%)</td>
<td valign="top" align="center">65 (63.1%)<break/>38 (36.9%)</td>
<td valign="top" align="center">0.14</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Tamoxifen therapy</td>
</tr>
<tr>
<td valign="top" align="left">No<break/>Yes<break/>missing</td>
<td valign="top" align="center">377 (52.8%)<break/>337 (47.2%)<break/>14</td>
<td valign="top" align="center">104 (51.5%)<break/>98 (48.5%)<break/>3</td>
<td valign="top" align="center">0.74</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Radio therapy</td>
</tr>
<tr>
<td valign="top" align="left">No<break/>Yes<break/>Missing</td>
<td valign="top" align="center">245 (34.4%)<break/>468 (65.6%)<break/>15</td>
<td valign="top" align="center">64 (31.4%)<break/>140 (68.6%)<break/>1</td>
<td valign="top" align="center">0.43</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Surgery</td>
</tr>
<tr>
<td valign="top" align="left">Lumpectomy<break/>Mastectomy</td>
<td valign="top" align="center">555 (76.2%)<break/>173 (23.8%)</td>
<td valign="top" align="center">170 (82.9%)<break/>35 (17.1%)</td>
<td valign="top" align="center">0.04</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Stage</td>
</tr>
<tr>
<td valign="top" align="left">I<break/>II<break/>III<break/>Missing</td>
<td valign="top" align="center">153 (22.4%)<break/>449 (65.7%)<break/>81 (11.9%)<break/>45</td>
<td valign="top" align="center">54 (27.6%)<break/>124 (63.3%)<break/>18 (9.2%)<break/>9</td>
<td valign="top" align="center">0.24</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Grade</td>
</tr>
<tr>
<td valign="top" align="left">I<break/>II<break/>III<break/>Missing</td>
<td valign="top" align="center">69 (17.8%)<break/>176 (45.5%)<break/>142 (36.7%)<break/>341</td>
<td valign="top" align="center">22 (15.1%)<break/>58 (39.7%)<break/>66 (45.2%)<break/>59</td>
<td valign="top" align="center">0.20</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Histology</td>
</tr>
<tr>
<td valign="top" align="left">Ductal<break/>Lobular<break/>Other<break/>Missing</td>
<td valign="top" align="center">564 (77.7%)<break/>52 (7.2%)<break/>110 (15.2%)<break/>2</td>
<td valign="top" align="center">172 (83.9%)<break/>11 (5.4%)<break/>22 (10.7%)<break/>0</td>
<td valign="top" align="center">0.15</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Clinicopathological Characteristics</title>
<p>Individuals with a tumour with a medium/low RECQL protein levels had a higher prevalence of lymph node positivity (56.1% vs. 47.9%, p-value= 0.05), a larger mean tumour size (27.3 mm vs 24.2 mm, p-value = 0.01), a higher proportion of ER-positive tumours (79.6% vs. 69.0%, p-value = 0.001) and a smaller proportion of triple-negative tumours (12.3% vs. 17.9%, p-value = 0.04) compared to those with a high level of RECQL protein. There were no significant differences in HER2 status or tumour grade.</p>
</sec>
<sec id="s3_2">
<title>Association of RECQL Protein Expression With Survival Among ER-Positive Patients</title>
<p>Of the 933 tumour samples in the study, 78% (n = 728) had a medium/low RECQL protein level, and 22% (n = 205) had a high level. Patients with a high RECQL levels had superior 15-year survival compared to patients with medium/low RECQL levels (58.3% vs. 48.7%, HR = 0.79, 95%CI = 0.62-1.00, p-value = 0.05) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). After adjustment for age at diagnosis, lymph node status, tumor size, chemotherapy, surgery, ER, PR and Triple Negative, a similar association was observed (58.3% vs. 48.7%, HR= 0.86, 95%CI= 0.67-1.11) but it was not significant (p-value= 0.25) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Breast cancer specific survival based on RECQL protein expression. <bold>(A)</bold> Breast cancer specific survival in the entire dataset based on RECQL protein expression. <bold>(B)</bold> Breast cancer specific survival in ER-positive patients based on RECQL protein expression. <bold>(C)</bold> Breast cancer specific survival in ER- patients based on RECQL protein expression.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-877617-g001.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Comparison of 15-year survival between patients with high versus medium/low RECQL levels.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Cohorts</th>
<th valign="top" align="center">Cases/total</th>
<th valign="top" align="center">Univariate *HR (95%CI)  P</th>
<th valign="top" align="center">Multivariate HR (95%CI)  P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="4" align="left">All subjects</td>
</tr>
<tr>
<td valign="top" align="left">Medium/Low RECQL<break/>High RECQL</td>
<td valign="top" align="center">356/728<break/>79/205</td>
<td valign="top" align="center">1<break/>0.79 (0.62-1.00) 0.05</td>
<td valign="top" align="center">1<break/>0.86 (0.67-1.11) 0.25<bold>
<sup>&#x394;</sup>
</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Subjects with ER-positive</td>
</tr>
<tr>
<td valign="top" align="left">Medium/Low RECQL<break/>High RECQL</td>
<td valign="top" align="center">282/578<break/>47/140</td>
<td valign="top" align="center">1<break/>0.66 (0.48-0.90) 0.008</td>
<td valign="top" align="center">1<break/>0.72 (0.52-0.98) 0.04<bold>
<sup>&#x3a6;</sup>
</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Subjects with ER-</td>
</tr>
<tr>
<td valign="top" align="left">Medium/Low RECQL<break/>High RECQL</td>
<td valign="top" align="center">74/148<break/>31/63</td>
<td valign="top" align="center">1<break/>0.96 (0.63-1.46) 0.85</td>
<td valign="top" align="center">1<break/>1.07 (0.67-1.69) 0.79<bold>
<sup>&#x3a6;</sup>
</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Subjects with ER-positive and Tamoxifen</td>
</tr>
<tr>
<td valign="top" align="left">Medium/Low RECQL<break/>High RECQL</td>
<td valign="top" align="center">141/307<break/>25/86</td>
<td valign="top" align="center">1<break/>0.60 (0.39-0.92) 0.02</td>
<td valign="top" align="center">1<break/>0.64 (0.41-0.99) 0.04<bold>
<sup>&#x3a6;</sup>
</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Subjects with ER-positive and no Tamoxifen</td>
</tr>
<tr>
<td valign="top" align="left">Medium/Low RECQL<break/>High RECQL</td>
<td valign="top" align="center">131/259<break/>20/51</td>
<td valign="top" align="center">1<break/>0.80 (0.50-1.28) 0.35</td>
<td valign="top" align="center">1<break/>0.85 (0.52-1.38) 0.51<bold>
<sup>&#x3a6;</sup>
</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">ER- with Antracyclin-type chemo</td>
</tr>
<tr>
<td valign="top" align="left">Medium/Low RECQL<break/>High RECQL</td>
<td valign="top" align="center">16/25<break/>9/19</td>
<td valign="top" align="center">1<break/>0.68 (0.30-1.54) 0.35</td>
<td valign="top" align="center">1<break/>0.87 (0.33-2.24) 0.77<bold>
<sup>&#x3a9;</sup>
</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">ER- with no Antracyclin-type chemo</td>
</tr>
<tr>
<td valign="top" align="left">Medium/Low RECQL<break/>High RECQL</td>
<td valign="top" align="center">58/123<break/>22/44</td>
<td valign="top" align="center">1<break/>1.03 (0.63-1.68) 0.92</td>
<td valign="top" align="center">1<break/>1.20 (0.72-2.01) 0.48<bold>
<sup>&#x3a9;</sup>
</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">ER- with other type chemo</td>
</tr>
<tr>
<td valign="top" align="left">Medium/Low RECQL<break/>High RECQL</td>
<td valign="top" align="center">25/55<break/>13/28</td>
<td valign="top" align="center">1<break/>0.92 (0.47-1.82) 0.81</td>
<td valign="top" align="center">1<break/>1.13 (0.55-2.30) 0.75<bold>
<sup>&#x3a9;</sup>
</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Post menopause</td>
</tr>
<tr>
<td valign="top" align="left">Medium/Low RECQL<break/>High RECQL</td>
<td valign="top" align="center">226/409<break/>48/105</td>
<td valign="top" align="center">1<break/>0.79 (0.58-1.07) 0.13</td>
<td valign="top" align="center">1<break/>0.80 (0.57-1.11) 0.18<bold>
<sup>&#x394;</sup>
</bold>
</td>
</tr>
<tr>
<td valign="top" colspan="4" align="left">Pre menopause</td>
</tr>
<tr>
<td valign="top" align="left">Medium/Low RECQL<break/>High RECQL</td>
<td valign="top" align="center">130/318<break/>31/100</td>
<td valign="top" align="center">1<break/>0.72 (0.49-1.07) 0.10</td>
<td valign="top" align="center">1<break/>0.80 (0.53-1.20) 0.28<bold>
<sup>&#x394;</sup>
</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Adjusted for age at diagnosis.</p>
</fn>
<fn>
<p>
<sup>&#x394;</sup>Adjusted for age at diagnosis, node, tumor size, chemotherapy, surgery, ER, PR and Triple Negative.</p>
</fn>
<fn>
<p>
<sup>&#x3a6;</sup>Adjusted for age at diagnosis, node, tumor size, chemotherapy, surgery and PR.</p>
</fn>
<fn>
<p>
<sup>&#x3a9;</sup>Adjusted for age at diagnosis, node, tumor size, surgery and PR.7</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Multivariate survival analysis was conducted separately for ER-positive and ER-negative patients. Among ER-positive patients a higher 15-year survival rate was observed for those with a high level of RECQL protein (62.5% vs. 48.7%, HR = 0.72, 95%CI = 0.52-0.98, p-value = 0.04) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Among the ER-negative patients no difference was seen (48.9% vs. 48.0%, HR = 1.07, 95%CI = 0.67-1.69, p-value = 0.79) (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<p>We next investigated the effect of RECQL levels on ER-positive breast cancer patients subdivided by tamoxifen therapy. Among the ER-positive patients who received tamoxifen treatment, those who had higher RECQL protein levels had a better survival rate than patients with low RECQL levels (67.0% vs. 51.5%, HR = 0.64, 95%C I = 0.41-0.99, p = 0.04) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Among ER-positive patients who did not receive tamoxifen therapy, there was a smaller, non-significant, association between RECQL protein levels and survival (57.2% vs. 47.1%, HR = 0.85, 95%CI = 0.52-1.38; p = 0.5) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Breast cancer specific survival among ER-positive patients based on RECQL protein expression. <bold>(A)</bold> Breast cancer specific survival among ER-positive patients who received Tamoxifen based on RECQL protein expression. <bold>(B)</bold> Breast cancer specific survival among ER-positive patients who did not receive Tamoxifen based on RECQL protein expression.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-877617-g002.tif"/>
</fig>
<p>In terms of 15-year survival, the benefit of tamoxifen treatment was greater in ER-positive patients with a high RECQL level (76.6% vs. 62.1%, HR = 0.37, 95%CI = 0.18-0.74, P = 0.005) than among ER-positive patients with a low/medium RECQ level (55.0% vs. 52.0%, HR = 0.73, 95%CI = 0.55-0.96, P = 0.02) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>; <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Breast cancer specific survival among ER-positive patients based on Tamoxifen treatment. <bold>(A)</bold> Breast cancer specific survival among ER-positive patients with medium/low level of RECQL protein based on Tamoxifen treatment. <bold>(B)</bold> Breast cancer specific survival among ER-positive patients with high level of RECQL protein based on Tamoxifen treatment.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-877617-g003.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Analysis of tamoxifen treatment influence on survival of ER-positive patients with medium/low and high RECQL protein levels.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Groups</th>
<th valign="top" align="center">Tamoxifen treatment</th>
<th valign="top" align="center">Case/total</th>
<th valign="top" align="center">Univariate HR(95%CI) P</th>
<th valign="top" align="center">Multivariate HR (95%CI) P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="5" align="left">Medium/Low</td>
</tr>
<tr>
<td valign="top" align="left">RECQL<break/>protein level</td>
<td valign="top" align="left">No<break/>Yes<break/>Missing</td>
<td valign="top" align="center">131/259<break/>141/307<break/>10/12</td>
<td valign="top" align="center">1<break/>0.64 (0.50-0.82) 0.0005</td>
<td valign="top" align="center">1<break/>0.73 (0.55-0.96) 0.02</td>
</tr>
<tr>
<td valign="top" align="left">High RECQL protein level</td>
<td valign="top" align="left">No<break/>Yes<break/>Missing</td>
<td valign="top" align="center">20/51<break/>25/86<break/>2/3</td>
<td valign="top" align="center">1<break/>0.45 (0.24-0.82) 0.009</td>
<td valign="top" align="center">1<break/>0.37 (0.18-0.74) 0.005</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Univariate: adjusted by age at diagnosis only.</p>
</fn>
<fn>
<p>Multivariate: adjusted by age at diagnosis,&#xa0;node, tumor size, Chemotherapy (Yes or No), Surgery and PR.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>We analyzed the association between RECQL protein levels and breast cancer survival among 933 breast cancer patients diagnosed from 1987 to 1999 in Toronto, Canada. Among unselected breast cancer patients medium/low levels of RECQL protein were associated with inferior disease-specific survival. Additional analysis revealed that this association was seen only among ER-positive patients, in particular among those who received endocrine therapy (Tamoxifen). Together, these data show that RECQL protein level is a prognostic factor for realizing a benefit from endocrine therapy.</p>
<p>Three other studies have investigated the association between RECQL protein or mRNA levels and breast cancer survival (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B34">34</xref>). The first study showed that in separate cohorts of 848 and 1977 breast cancer patients, lower protein and mRNA levels of RECQL were associated with worse prognosis; further analysis revealed that this association only held among the ER-positive patients (<xref ref-type="bibr" rid="B1">1</xref>). The second study also observed that among 774 breast cancer patients, lower mRNA levels of RECQL were associated with poor distant recurrence-free survival (HR: 2.77, p-value &lt;0.001) and disease-specific survival (HR: 3.10, p-value &lt;0.001). In a cohort of 322 breast cancer patients, low RECQL protein levels correlated with poor survival (HR: 2.12, p-value: 0.015); however, the authors did not compare this association among ER-positive versus ER- individuals (<xref ref-type="bibr" rid="B2">2</xref>). These studies also showed that lower RECQL protein levels were associated with poor clinicopathological characteristics (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). We also observed that medium/low RECQL levels were associated with poor clinicopathological characteristics, such as a higher proportion of lymph node-positive tumours (56.1% vs. 47.9%, p-value= 0.05) and larger tumour sizes (27.3 vs 24.2, p-value= 0.01). However, other clinicopathological characteristics were better among the medium/low RECQL patients of our cohort; medium/low RECQL levels were associated with a larger proportion of ER-positive tumours (79.6% vs. 69.0%) and a smaller proportion of triple-negative tumour (12.3% vs. 17.9%), while there was no difference between the medium/low versus high RECQL patients in HER2 status, tumour stage, tumour grade, and tumour histology. Lastly, the third study was only focused on RECQL mRNA levels (<xref ref-type="bibr" rid="B34">34</xref>). They observed that a higher expression of RECQL mRNA was correlated with shorter relapse-free survival (RFS) (HR: 1.28, p-value &lt;0.001, n= 3955) and post-progression survival (PPS) (HR: 1.32, p-value: 0.027, n= 414) in all breast cancers. However, higher expression of RECQL mRNA did not affect overall survival (OS) (HR: 1.04, p-value: 0.74, n= 1402) or distant metastasis-free survival (DMFS) (HR: 1.06, p-value: 0.57, n= 1747). The current body of evidence suggests that higher RECQL protein levels are associated with higher survival rates among breast cancer patients with ER-positive tumours.</p>
<p>The cellular mechanism of RECQL effect on the prognosis of ER-positive tumours might be explained by a recent study that explored the role RECQL plays in regulating ER&#x3b1; expression. According to this newly published study, in a helicase dependant manner, RECQL in cooperation with FOXA1 increases the chromatin accessibility at the regulatory site of the ESR1 gene (the gene encoding ER&#x3b1;), and a group of other ER&#x3b1; target genes (<xref ref-type="bibr" rid="B28">28</xref>). Therefore, higher levels of RECQL protein would increase ER&#x3b1; expression and its downstream effect. This is an important observation in breast cancer biology for two main reasons. First, higher ER&#x3b1; levels are associated with a better prognosis because ER&#x3b1; inhibits tumour invasiveness (<xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>). Second, higher levels of ER&#x3b1; would enable a more desirable response to endocrine therapy (<xref ref-type="bibr" rid="B38">38</xref>&#x2013;<xref ref-type="bibr" rid="B41">41</xref>). Therefore, higher RECQL level directly increases ER&#x3b1; level, and in turn could reduce tumour invasiveness and improve the response to endocrine therapy. Unfortunately, we did not have ER expression values in our cohort to compare with the RECQL data to confirm their positive correlation. The relationship between RECQL levels and ER expression, tumour invasiveness as well as endocrine treatment efficiency could be the subject of further research. More importantly, future studies should investigate how to induce RECQL expression in ER-positive patients to improve their prognosis, especially in patients with lower RECQL protein levels. The findings of such studies could have crucial clinical implications, especially considering that more than 70% of breast cancer cases are ER-positive (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>One question that remains to be answered is why patients with lower RECQL levels had lower survival, while lower RECQL levels result in lower levels of ER&#x3b1;, and as a result the mitogenic effects of estrogen and ER&#x3b1; should be reduced. Three factors should be considered in answering this question. First, lower ER&#x3b1; levels would result in higher invasiveness, reducing the survival rate (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Second, we observed a larger tumour size in patients with lower levels of RECQL protein, so either lower RECQL levels do not cause enough reduction in ER&#x3b1; levels to dampen the mitogenic effects of ER&#x3b1;, or there are other factors involved that not only compensated for the reduced mitogenic effects of ER&#x3b1; due to its reduction, but caused increased mitogenic effects and a larger tumour size. Third, it is likely that RECQL also impacts breast cancer patient survival through non-ER&#x3b1; dependent effects and through its role in maintaining the chromosomal stability and DNA damage response. Additional studies should be conducted to investigate if such factors exist, and if they do, what the mechanism by which they act as mitogens is, and what implications do they have for breast cancer and possibly other neoplasms.</p>
</sec>
<sec id="s5">
<title>Conclusion</title>
<p>We have shown that higher RECQL protein levels are associated with improved ER-positive breast cancer-specific survival and better response to endocrine therapy with tamoxifen. Therefore, RECQL could be a prognostic and predictive candidate biomarker in ER-positive breast cancer patients responding to tamoxifen&#x2019;s endocrine treatment.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>This study has been approved by the ethics board committee at Women&#x2019;s College Hospital. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author Contributions</title>
<p>AM wrote the manuscript draft, AS did the laboratory assays, PS and VG did the statistical analysis, CC, SN-M, SS, SM, SN, and MA worked together in conceptualizing the study idea, contributing laboratory and biospecimen resources required for the study and writing the manuscript, AAS reviewed the IHC&#xa0;slides and helped with the revision of the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The study was funded by Canadian Institute for Health Research, grant# 152939.</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We acknowledge the pathology lab at Sunnybrook Health Science Centre, Toronto, Canada for making the tissue microarrays used in this study.</p>
</ack>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2022.877617/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2022.877617/full#supplementary-material</ext-link>
</p>
  <supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
</sec>
<sec id="s13">
<title>Abbreviations</title>
<p>ER, Estrogen receptor; HR, Hazard ratio; IHC, Immunohistochemistry; TMA, Tissue microarrays.</p>
</sec>
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<title>References</title>
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