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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.2022.896431</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>RecurIndex assay as an aid for adjuvant chemotherapy decisions in HR-positive HER2-negative breast cancer patients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Haibo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1721152"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ma</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2058779"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yanan</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Ouchen</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1228718"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wei</surname>
<given-names>Zhimin</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1075372"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xie</surname>
<given-names>Xiaohong</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zha</surname>
<given-names>Xiaoming</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zeng</surname>
<given-names>Jian</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lv</surname>
<given-names>Qing</given-names>
</name>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1999979"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ren</surname>
<given-names>Yu</given-names>
</name>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/926092"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Huimin</given-names>
</name>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Du</surname>
<given-names>Furong</given-names>
</name>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cao</surname>
<given-names>Shangzhi</given-names>
</name>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Breast Center, The Affiliated Hospital of Qingdao University</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Breast Center, The Fourth Hospital of Hebei Medical University</institution>, <addr-line>Shijiazhuang</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Breast Disease Center, Zhongda Hospital, School of Medicine, Southeast University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Breast Surgery, The First Affiliated Hospital of Wenzhou Medical University</institution>, <addr-line>Wenzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Pathology, The Affiliated Hospital of Qingdao University</institution>, <addr-line>Qingdao</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Breast Surgery, The First Affiliated Hospital of Zhejiang Chinese Medical University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Breast Disease Department, The First Affiliated Hospital of Nanjing Medical University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>Department of Gastrointestinal and Gland Surgery, The First Affiliated Hospital of Guangxi Medical University</institution>, <addr-line>Nanning</addr-line>, <country>China</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Department of Breast Surgery, West China Hospital, Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff10">
<sup>10</sup>
<institution>Department of Breast Surgery, The First Affiliated Hospital of Xi&#x2019;an Jiaotong University</institution>, <addr-line>Xi&#x2019;an</addr-line>, <country>China</country>
</aff>
<aff id="aff11">
<sup>11</sup>
<institution>State Key Laboratory of Translational Medicine and Innovative Drug Development, Jiangsu Simcere Diagnostics Co., Ltd.</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Gulisa Turashvili, Emory University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Napa Parinyanitikul, King Chulalongkorn Memorial Hospital, Thailand; Chang Ik Yoon, The Catholic University of Korea, South Korea</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Haibo Wang, <email xlink:href="mailto:hbwang66@qdu.edu.com">hbwang66@qdu.edu.com</email>; Li Ma, <email xlink:href="mailto:mali1021@126.com">mali1021@126.com</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>07</day>
<month>12</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>896431</elocation-id>
<history>
<date date-type="received">
<day>15</day>
<month>03</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>02</day>
<month>11</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Wang, Ma, Zhang, Wang, Wei, Xie, Zha, Zeng, Lv, Ren, Wang, Du and Cao</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Wang, Ma, Zhang, Wang, Wei, Xie, Zha, Zeng, Lv, Ren, Wang, Du and Cao</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>Adjuvant chemotherapy is a major adjuvant treatment modality for hormonal receptor (HR)-positive and HER2-negative early breast cancer, but only 2%-20% of patients derive practical benefits. How to balance its potential benefits and risks becomes a challenging clinical problem. The purpose of this study was to assess whether RecurIndex assay could serve as an aid for adjuvant chemotherapy decisions in Chinese patients with HR-positive HER2-negative early breast cancer.</p>
</sec>
<sec>
<title>Methods</title>
<p>The tissue samples of pT1-2N0 HR-positive HER2-negative breast cancer from multiple centers were detected using RecurIndex assay, based on which the patients were assigned into low- and high-risk groups. The survival outcomes of low- and high-risk patients including those with and without adjuvant chemotherapy were compared, and the risk factors for recurrence and metastasis were identified.</p>
</sec>
<sec>
<title>Results</title>
<p>Totally 445 patients were eligible for analysis. By contrast to high-risk patients, low-risk patients represented better 7-year recurrence-free survival (RFS), distant recurrence-free survival (DRFS) and local recurrence-free survival (LRFS) rates. For low-risk patients, no significant differences were shown between those with and without adjuvant chemotherapy in 7-year RFS, DRFS and LRFS rates. These differences were also inapparent between high-risk patients with and without adjuvant chemotherapy. The multivariate model revealed high-risk patients had a significantly elevated risk of recurrence and metastasis than those at low risk.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>HR-positive HER2-negative early breast cancer patients at low risk stratified by RecurIndex assay might be exempt from adjuvant chemotherapy. Whether adjuvant chemotherapy may derive survival benefits for high-risk patients still needs larger cohorts to verify.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Early breast cancer</kwd>
<kwd>Luminal type</kwd>
<kwd>RecurIndex assay</kwd>
<kwd>Adjuvant chemotherapy</kwd>
<kwd>Survival outcomes</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="32"/>
<page-count count="9"/>
<word-count count="3870"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Breast cancer is the most common malignancy in women, ranking the second among the causes for cancer-associated deaths in women (<xref ref-type="bibr" rid="B1">1</xref>). The clinical outcomes of breast cancer, a molecularly heterogenous disease, depend on its biological subtypes, which is related to diverse molecular characteristics (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Several markers including estrogen receptors (ER), progesterone receptors (PR), human epidermal growth factor receptor 2 (HER2) and Ki67 have been demonstrated to play crucial roles in the treatment of early breast cancer (EBC) (<xref ref-type="bibr" rid="B4">4</xref>). It is estimated that luminal type accounts for 70% of all breast cancers and approximately 85% of EBCs (<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). The prognosis of patients with luminal EBC is usually good, having a 5-year disease-free survival (DFS) rate of 99.1% for T1N0 luminal breast cancer (<xref ref-type="bibr" rid="B8">8</xref>). Although with good overall prognosis, up to 5% of patients still incur recurrence (<xref ref-type="bibr" rid="B7">7</xref>). Application of adjuvant chemotherapy in EBC is thought as an alternative therapy for patients with operable breast cancer. However, only a small minority of patients derive benefits, and others may at risk of toxicities (<xref ref-type="bibr" rid="B9">9</xref>). How to balance the potential benefits and risks of adjuvant chemotherapy in EBC becomes a challenging clinical problem.</p>
<p>With emerging multigene assays, breast cancer treatment is changing. Currently, National Comprehensive Cancer Network (NCCN) guidelines for breast cancer propose that multigene assays comprising 21-gene recurrence score (RS) assay (Oncotype Dx) and 70-gene signature (MammaPrint) are conductive to guiding the use of adjuvant chemotherapy in some patients with hormonal receptor (HR)-positive and HER2-negative breast cancer (<xref ref-type="bibr" rid="B10">10</xref>). However, these multigene assays are developed based on the western population, and whether they are appropriate to the Asian population needs further analysis.</p>
<p>RecurIndex, a risk assessment model including diverse clinicopathological characteristics and genes closely related to breast cancer, is developed based on the Chinese population and has been demonstrated to be capable of predicting the long-term distant recurrence-free interval (DRFI) and recurrence-free survival (RFS) in patients with primary operable breast cancer, especially those with N0, ER/PR-positive and HER2-negative patients (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Recently, a study on the application of RecurIndex assay in pT1-2N1M0 breast cancer has revealed that post-mastectomy radiotherapy (PMRT) may be avoided for low-risk patients assessed by RecurIndex assay but beneficial for high-risk patients (<xref ref-type="bibr" rid="B13">13</xref>). Nevertheless, there are few studies on the association of RecurIndex assay with adjuvant chemotherapy in EBC. In this study, we leveraged RecurIndex assay to stratify Chinese patients with HR-positive HER2-negative EBC as high and low groups and compared their survival outcomes according to the presence or absence of adjuvant chemotherapy, thus guiding the clinical decision-making on the use of adjuvant chemotherapy.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Study population</title>
<p>Patients with pT1-2N0 HR-positive HER2-negative breast cancer who received surgery in 9 medical centers between 2013 and 2016 were included in this retrospective study. Their formalin-fixed and paraffin-embedded (FFPE) tumor samples were obtained for RecurIndex assay. The inclusion criteria included: (1) women aged 18-75 years; (2) pT1-2N0 HR-positive HER2-negative breast cancer diagnosed by both immunohistochemistry (IHC) staining and RecurIndex assay; (3) breast-conserving surgery or mastectomy as the initial treatment; (4) sufficient FFPE tumor samples, complete clinicopathological and follow-up data. The patients would be excluded from the study if they met any one of the criteria below: (1) preoperative administration of neoadjuvant therapy including chemotherapy; (2) incomplete postoperative endocrine therapy and/or chemotherapy; (3) patients diagnosed as bilateral breast cancer, or with the history of other malignancies.</p>
<p>The study was performed according to the principles of Declaration of Helsinki and local regulations. All the patients were informed consent, and the study was approved by the Institutional Review Board of The Affiliated Hospital of Qingdao University (approval No.: QYFYKYLL801311920).</p>
</sec>
<sec id="s2_2">
<title>RecurIndex assay</title>
<p>The genes included in the RecurIndex assay was composed of 18 genes (<italic>TRPV6</italic>, <italic>DDX39</italic>, <italic>BUB1B</italic>, <italic>CCR1</italic>, <italic>BLM</italic>, <italic>C16ORF7</italic>, <italic>PIM1</italic>, <italic>TPX2</italic>, <italic>PTI1</italic>, <italic>TCF3</italic>, <italic>NFATC2IP</italic>, <italic>OBSL1</italic>, <italic>MMP15</italic>, <italic>ESR1</italic>, <italic>ERBB2</italic>, <italic>CLCA2</italic>, <italic>SF3B5</italic>, and <italic>PHACTR2</italic>), along with 3 housekeeping genes (<italic>ACTB</italic>, <italic>RPLP0</italic> and <italic>TFRC</italic>). All these genes were simultaneously measured in diverse wells. Specifically, the primer pairs of the target genes were placed into PanelChip<sup>&#xae;</sup>, and then the total ribonucleic acid (RNA) extracted from FFPE tumor tissues was used to perform reverse-transcriptase (RT) quantitative polymerase chain reaction (qPCR) on the PanelStation platform (Quark BioSciences, Inc., Hsinchu, Taiwan). The expression of each gene in the FFPE samples was measured using qPCR. Normalization of gene expression was computed as delta CT = 25 - CT (gene of interest) + CT (mean of housekeeping genes). The RNeasy FFPE Mini Kit (Qiagen, Valencia, CA, USA) was used to extract RNA from the FFPE tissue sections with 5-10 &#x3bc;m in thickness, and Qubit 4.0 fluorometer (Thermo Fisher Scientific, Massachusetts, USA) and NanoDrop Microvolume Spectrophotometer (Thermo Fisher Scientific, Massachusetts, USA) were employed for determining RNA concentration. Subsequently, the extracted RNA was reserved at -80&#xb0;C until use. Through the RT<sup>2</sup> First Strand and RT<sup>2</sup> SYBR Green ROX qPCR MM kits (Qiagen, Valencia, CA, USA), a total of 800 ng RNA was utilized for RT-qPCR. Briefly, 2X SYBR MasterMix, 60&#xd7;ROX, 100&#xd7; qPCR Control diluent, Nuclease-Free Water, and cDNA products were used for preparing the qPCR system. The sample loader attached to the PanelStation was selected, then 350 &#x3bc;L heat conductive oil and 80 &#x3bc;L qPCR mixture were loaded to the PanelChip<sup>&#xae;</sup> and the chip was loaded to PanelStation. Finally, thermal cycling was performed at 95&#xb0;C for 44 seconds and 60&#xb0;C for 88 seconds, with 40 cycles in total.</p>
<p>As a previous study described (<xref ref-type="bibr" rid="B11">11</xref>), the genetic and clinical factors were combined based on the Cox proportional hazard model to determine their weighting, and concordance statistics (C index) with the receiver operating characteristic curve were used to determine the most effective model. The best cutoff values for predicting local recurrence and distant recurrence were identified by Logistic regression.</p>
</sec>
<sec id="s2_3">
<title>Extraction of clinicopathological and follow-up data</title>
<p>Through reviewing the electronic medical record of patients, the clinicopathological information was extracted, containing the age, tumor stage, histological grade, presence or absence of local recurrence, distant recurrence and lymphovascular invasion (LVI), as well as the conditions of adjuvant chemotherapy and adjutant endocrine therapy. All the patients were followed up after surgery through telephones and further consultations.</p>
<p>The RFS rate was regarded as the primary study endpoint, and distant recurrence-free survival (DRFS) and local-regional recurrence-free survival (LRFS) rates were as the secondary endpoints. RFS was defined as the duration of time from surgery until any recurrence of ipsilateral chest, breast, regional lymph node recurrence, distant metastases, or death occurred from any cause. DRFS was defined as the duration of time from surgery until distant recurrence, or death occurred from any cause. LRFS was defined as the duration of time from surgery until any recurrence of ipsilateral chest, breast, regional lymph node recurrence, or death occurred from any cause.</p>
</sec>
<sec id="s2_4">
<title>Identification of HR-positive HER2-negative breast cancer</title>
<p>HR and/or HER2 status was assessed based on the guidelines (<xref ref-type="bibr" rid="B14">14</xref>). ER/PR was considered positive when there were at least 1% positive tumor nuclei by IHC assay. Patients with grade I-II, ER/PR-positive and HER2-negative breast cancer were classified into IHC luminal A subtype, whereas those with grade III, ER/PR-positive and HER2-negative breast cancer were categorized into IHC luminal B subtype (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>).</p>
</sec>
<sec id="s2_5">
<title>Statistical analysis</title>
<p>In this study, <italic>t</italic> test was used for comparison of continuous variables with normal distribution, manifesting as the mean (standard deviation, SD); Mann-Whitney U rank sum test was employed to compare continuous variables with abnormal distribution, describing as medians with interquartile range. Categorical variables expressing as frequencies and percentages were compared using Fisher&#x2019;s exact test or &#x3c7;<sup>2</sup> test. Survival probabilities were estimated utilizing the Kaplan-Meier method and compared using Log-rank test. The multivariate Cox proportional-hazards model was performed to analyze the influencing factors for recurrence and metastasis. All statistical tests were two-tailed, with statistically significant differences at <italic>p</italic> values &lt;0.05. Statistical analyses were performed using SPSS 24.0 statistical software (SPSS Inc., Chicago, IL, USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Baseline characteristics of study population</title>
<p>In this multi-center study, totally 610 patients were diagnosed as pT1-2N0 HR-positive HER2-negative breast cancer between 2013 and 2016. When 13 cases aged &lt;18 or &gt;75 years, 87 cases lacking follow-up data, 61 cases failing in RecurIndex assay (the proportion of tumor cells &#x2264;30%), 3 cases receiving neoadjuvant chemotherapy and 1 with history of other malignancies were excluded, 445 eligible cases remained for analysis. Their median follow-up duration was 6.25 years.</p>
<p>There were 344 low-risk patients and 101 high-risk patients according to RecurIndex assay. It can be found that statistically significant differences were all shown between low- and high-risk patients, including age (<italic>p</italic>&lt;0.001), tumor stage (<italic>p</italic>&lt;0.001), histological grade (<italic>p</italic>&lt;0.001), LVI (<italic>p</italic>&lt;0.001), local recurrence (<italic>p</italic>=0.001), distant recurrence (<italic>p</italic>=0.002), adjuvant chemotherapy (<italic>p</italic>&lt;0.001) and endocrine therapy (<italic>p</italic>&lt;0.049) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Through IHC assay, 347 cases were assessed as Luminal A subtype, while 98 cases as Luminal B subtype. Except for the age (<italic>p</italic>=0.082), the differences were all pronounced between luminal A- and B-type patients regarding all other characteristics (<italic>p</italic>&lt;0.05; <xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Baseline characteristics of 445 patients with pT1-2N0 HR-positive HER2-negative breast cancer, n(%).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Characteristics</th>
<th valign="top" colspan="2" align="center">RecurIndex assay</th>
<th valign="top" rowspan="2" align="center">
<italic>p</italic>
</th>
</tr>
<tr>
<th valign="top" align="center">Low risk (<italic>n</italic>=344)</th>
<th valign="top" align="center">High risk (<italic>n</italic>=101)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Median age (range), years</td>
<td valign="top" align="center">51(29-82)</td>
<td valign="top" align="center">46 (26-67)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Tumor stage</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;T1</td>
<td valign="top" align="center">270 (78.5)</td>
<td valign="top" align="center">39 (38.6)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;T2</td>
<td valign="top" align="center">74 (21.5)</td>
<td valign="top" align="center">62 (61.4)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Histological grade</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;I</td>
<td valign="top" align="center">44 (12.8)</td>
<td valign="top" align="center">4 (4.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;II</td>
<td valign="top" align="center">261 (75.9)</td>
<td valign="top" align="center">38 (37.6)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;III</td>
<td valign="top" align="center">39 (11.3)</td>
<td valign="top" align="center">59 (58.4)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Lymphovascular invasion</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">34 (9.9)</td>
<td valign="top" align="center">38 (37.6)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">310 (90.1)</td>
<td valign="top" align="center">63 (62.4)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Local recurrence</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">5 (1.5)</td>
<td valign="top" align="center">9 (8.9)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">339 (98.5)</td>
<td valign="top" align="center">92 (91.1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Distant recurrence</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Yes</td>
<td valign="top" align="center">15 (4.4)</td>
<td valign="top" align="center">13(12.9)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">329 (95.6)</td>
<td valign="top" align="center">88 (87.1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Adjuvant chemotherapy</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;TC</td>
<td valign="top" align="center">103 (29.9)</td>
<td valign="top" align="center">33 (32.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Anthracycline without taxane</td>
<td valign="top" align="center">28 (8.1)</td>
<td valign="top" align="center">17 (16.8)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Anthracycline plus taxane</td>
<td valign="top" align="center">19 (5.5)</td>
<td valign="top" align="center">26 (25.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CEF</td>
<td valign="top" align="center">12 (3.5)</td>
<td valign="top" align="center">15 (14.9)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Others</td>
<td valign="top" align="center">12 (3.5)</td>
<td valign="top" align="center">6 (5.9)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No chemotherapy</td>
<td valign="top" align="center">170 (49.4)</td>
<td valign="top" align="center">4 (4.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Adjuvant endocrine therapy</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&lt;0.049</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Tam/TOR</td>
<td valign="top" align="center">178 (51.7)</td>
<td valign="top" align="center">54 (53.5)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;AI</td>
<td valign="top" align="center">124 (36.0)</td>
<td valign="top" align="center">29 (28.7)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;OFS+Tam/TOR</td>
<td valign="top" align="center">2 (0.6)</td>
<td valign="top" align="center">4 (4.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;OFS+AI</td>
<td valign="top" align="center">3 (0.9)</td>
<td valign="top" align="center">0 (0.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Others</td>
<td valign="top" align="center">15 (4.4)</td>
<td valign="top" align="center">10 (9.9)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;None reported</td>
<td valign="top" align="center">8 (2.3)</td>
<td valign="top" align="center">1 (1.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No endocrine therapy</td>
<td valign="top" align="center">14 (4.1)</td>
<td valign="top" align="center">3 (3.0)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>TC, taxane and cyclophosphamide; CEF, cyclophosphamide/epirubicin/fluorouracil; OFS, ovarian function suppression; Tam, tamoxifen; TOR, toremifene; AI, aromatase inhibitor.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Association of RecurIndex and IHC assays with survival outcomes</title>
<p>
<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> shows the 7-year RFS, DRFS and LRFS rates of the low- and high-risk patients stratified by RecurIndex assay and IHC assay. It can be observed that the low-risk patients stratified by RecurIndex assay had higher 7-year RFS rate (92.7% <italic>vs</italic>. 78.8%, <italic>p</italic>&lt;0.0001; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>), DRFS rate (94.4% <italic>vs.</italic> 84.5%, <italic>p</italic>=0.0011; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>) and LRFS rate (98.0% <italic>vs.</italic> 88.0%, <italic>p</italic>&lt;0.0001; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>) compared with the high-risk patients. According to the results of IHC assay, the 7-year RFS rate (91.4% <italic>vs.</italic> 82.9%, <italic>p</italic>=0.013; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>) and LRFS rate <bold>(</bold>97.7% <italic>vs.</italic> 89.2%, <italic>p</italic>=0.001; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1F</bold>
</xref>
<bold>)</bold> in patients with luminal A subtype were both superior to those in patients with luminal B subtype, but the difference was indistinctive in the 7-year DRFS rate (93.6% <italic>vs.</italic> 86.9%, <italic>p</italic>=0.051; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1E</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The 7-year recurrence-free survival rate <bold>(A)</bold>, distant recurrence-free survival rate <bold>(B)</bold>, and local recurrence-free survival rate <bold>(C)</bold> in low- and high-risk patients stratified by RecurIndex assay; The 7-year recurrence-free survival rate <bold>(D)</bold>, distant recurrence-free survival rate <bold>(E)</bold>, and local recurrence-free survival rate <bold>(F)</bold> in luminal A-subtype and luminal B-subtype patients stratified by immunohistochemistry staining.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-896431-g001.tif"/>
</fig>
<p>The recurrence index for distant recurrence (RI-DR) scores of the high-risk patients assessed by RecurIndex assay were significantly higher than those of the low-risk patients (<italic>p</italic>&lt;0.0001; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Similarly, patients with luminal B subtype had significantly increased RI-DR scores than those with luminal A subtype (<italic>p</italic>&lt;0.0001; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Recurrence index-distant recurrence scores in patients stratified by RecurIndex assay <bold>(A)</bold> and by immunohistochemistry staining <bold>(B)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-896431-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Subgroup analyses of survival outcomes</title>
<p>Of 344 low-risk patients, 174 cases received adjuvant chemotherapy, while 170 didn&#x2019;t. The subgroup analysis based on chemotherapy indicated no statistically significant differences between the low-risk patients with and without adjuvant chemotherapy regarding the 7-year RFS (94.0% <italic>vs</italic>. 91.7%, <italic>p</italic>=0.54; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>
<bold>)</bold>, DRFS (97.0% <italic>vs</italic>. 92.3%, <italic>p</italic>=0.21; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>), and LRFS (96.9% <italic>vs</italic>. 98.9%, <italic>p</italic>=0.59; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>
<bold>)</bold> rates. Of 101 high-risk patients, there were 97 cases with adjuvant chemotherapy and 4 without adjuvant chemotherapy. The 7-year RFS and DRFS rates of the high-risk patients with adjuvant chemotherapy were relatively higher than those without, but without significant differences (RFS rate: 78.8% <italic>vs</italic>. 75.0%, <italic>p</italic>=0.70; DRFS rate: 84.7% <italic>vs</italic>. 75.0%, <italic>p</italic>=0.43).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The 7-year recurrence-free survival rate <bold>(A)</bold>, distant recurrence-free survival rate <bold>(B)</bold>, and local recurrence-free survival rate <bold>(C)</bold> in low-risk patients with and without adjuvant chemotherapy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-896431-g003.tif"/>
</fig>
<p>To further assess the benefits of adjuvant chemotherapy, we used an approximate menopausal status defined by an age cutoff at 50 years to classify the low-risk patients into the group aged over 50 years and the group aged 50 years or younger. It could be observed that there were no significant differences in survival outcomes whether in the group aged 50 years or younger (RFS rate: 90.5% <italic>vs</italic>. 90.7%, <italic>p</italic>=0.95, <xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S1A</bold>
</xref>; DRFS rate: 96.6% <italic>vs</italic>. 90.7%, <italic>p</italic>=0.34, <xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S1B</bold>
</xref>) or the group aged over 50 years (RFS rate: 95.9% <italic>vs</italic>. 93.3%, <italic>p</italic>=0.57, <xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S1C</bold>
</xref>; DRFS rate: 97.3% <italic>vs</italic>. 94.7%, <italic>p</italic>=0.63, <xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S1D</bold>
</xref>). Notably, 330 out of 344 low-risk patients received endocrine therapy. Based on presence or absence of adjuvant chemotherapy, 330 patients were further divided into two groups. The results showed that the differences were inapparent between the patients receiving endocrine therapy with/without chemotherapy regarding RFS (94.3% <italic>vs</italic>. 91.5%, <italic>p</italic>=0.41, <xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S1E</bold>
</xref>) and DRFS (97.5% <italic>vs</italic>. 92.1%, <italic>p</italic>=0.13, <xref ref-type="supplementary-material" rid="SF1">
<bold>Figure S1F</bold>
</xref>) rates.</p>
</sec>
<sec id="s3_4">
<title>Risk factors for recurrence and metastasis</title>
<p>The risk factors for recurrence and metastasis in all patients were analyzed using a multivariate Cox proportional-hazards model. As shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>, the risk of recurrence and metastasis was significantly higher in high-risk patients than in low-risk patients stratified by RecurIndex assay (hazard ratios [HR]: 3.106, 95% confidence interval [CI]: 1.598-6.035, <italic>p</italic>=0.001); patients with LVI had a higher risk of recurrence and metastasis compared with those without (HR: 2.730, 95%CI: 1.348-5.528, <italic>p</italic>=0.005).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Uni- and multi-variate analyses of recurrence and metastasis in all patients (n=445).</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Variables</th>
<th valign="top" rowspan="2" align="center"/>
<th valign="top" colspan="2" align="center">Univariate</th>
<th valign="top" colspan="2" align="center">Multivariate</th>
</tr>
<tr>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>p</italic>
</th>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years</td>
<td valign="top" align="center">&lt;40</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">&#x2265;40</td>
<td valign="top" align="center">0.574 (0.252-1.304)</td>
<td valign="top" align="center">0.185</td>
<td valign="top" align="center">0.769 (0.328-1.803)</td>
<td valign="top" align="center">0.546</td>
</tr>
<tr>
<td valign="top" align="left">Tumor stage</td>
<td valign="top" align="center">T1</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">T2</td>
<td valign="top" align="center">2.367 (1.253-4.472)</td>
<td valign="top" align="center">0.008</td>
<td valign="top" align="center">1.533 (0.748-3.143)</td>
<td valign="top" align="center">0.243</td>
</tr>
<tr>
<td valign="top" align="left">Histological grade</td>
<td valign="top" align="center">I</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">II</td>
<td valign="top" align="center">1.775 (0.417-7.550)</td>
<td valign="top" align="center">0.437</td>
<td valign="top" align="center">1.651 (0.375-7.258)</td>
<td valign="top" align="center">0.507</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">III</td>
<td valign="top" align="center">3.753 (0.853-16.517)</td>
<td valign="top" align="center">0.080</td>
<td valign="top" align="center">2.014 (0.417-9.729)</td>
<td valign="top" align="center">0.384</td>
</tr>
<tr>
<td valign="top" align="left">Sample size from different centers</td>
<td valign="top" align="center">&lt;50</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">50-150</td>
<td valign="top" align="center">1.041 (0.439-2.471)</td>
<td valign="top" align="center">0.927</td>
<td valign="top" align="center">0.996 (0.407-2.441)</td>
<td valign="top" align="center">0.994</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">150-300</td>
<td valign="top" align="center">0.840 (0.401-1.763)</td>
<td valign="top" align="center">0.646</td>
<td valign="top" align="center">1.225 (0.555-2.701)</td>
<td valign="top" align="center">0.615</td>
</tr>
<tr>
<td valign="top" align="left">RecurIndex assay</td>
<td valign="top" align="center">Low risk</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">High risk</td>
<td valign="top" align="center">3.845 (2.034-7.267)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">3.106 (1.598-6.035)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Lymphovascular invasion</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">3.518 (1.818-6.808)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">2.730 (1.348-5.528)</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">Adjuvant chemotherapy</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">2.146 (1.015-4.534)</td>
<td valign="top" align="center">0.046</td>
<td valign="top" align="center">1.040 (0.425-2.547)</td>
<td valign="top" align="center">0.931</td>
</tr>
<tr>
<td valign="top" align="left">Adjuvant endocrine therapy</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">1.443 (0.198-10.526)</td>
<td valign="top" align="center">0.718</td>
<td valign="top" align="center">1.886 (0.243-14.630)</td>
<td valign="top" align="center">0.544</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>HR, hazards ratios; CI, confidence interval.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Currently, adjuvant chemotherapy plays a crucial role in the adjuvant treatment of HR-positive and HER2-negative EBC, while only 2%-20% of patients derive practical benefits, others may endure long-term treatment-associated toxicities (<xref ref-type="bibr" rid="B17">17</xref>), emphasizing the importance of effective and well-stratified patients in therapy. Although multigene assays developed in the western population have informed risk-stratification by assessing the postoperative recurrence risk based on gene-expression profiling, there are certain ethnic differences for the Asian population. South Asian women with stage I breast cancer were found to have the lowest risk of death at 7 years compared with non-Hispanic and black women, which may be explained by intrinsic biological differences including distant metastasis and lymph node metastasis (<xref ref-type="bibr" rid="B18">18</xref>). Recently, a next-generation sequencing-based multigene assay has been developed to predict the risk of distant recurrence in ER-positive, HER2-negative breast cancer from the Korea population (<xref ref-type="bibr" rid="B19">19</xref>). Differently, RecurIndex assay is developed based on RT-qPCR, and combines the gene-expression profiling and clinicopathological features of Chinese breast cancer patients to analyze the risk of local recurrence and distance recurrence. The present study first demonstrated the clinical utility of RecurIndex assay for guiding adjuvant chemotherapy decisions in Chinese HR-positive HER2-negative EBC patients.</p>
<p>The present study totally enrolled 344 low- and 101 high-risk patients stratified by RecurIndex assay. Statistically significant differences were shown between the low- and high-risk patients regarding age, tumor stage, histological grade and LVI, highlighting the correlation between RecurIndex assay and these clinicopathological features previously confirmed to be able to assess the risk of breast cancer (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). Moreover, low-risk patients harbored a decreased risk of recurrence and metastasis and better 7-year RFS, DRFS and LRFS rates compared with high-risk patients, suggesting the accuracy of RecurIndex assay in risk stratification of patients and its importance as a promising complementary tool to be predictive of prognosis, in agreement with recent findings (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Of note, adjuvant chemotherapy did not improve the survival outcomes of low-risk patients, offering clinicians an opportunity to identify the patients at low risk for whom chemotherapy can be omitted to avoid treatment-related toxicities.</p>
<p>There is uncertainty regarding the benefit of chemotherapy in EBC, although various multigene assays are available. It was estimated about 46% of EBC women at high clinical risk might not need chemotherapy (<xref ref-type="bibr" rid="B25">25</xref>). The subsequent study showed the distant metastasis-free survival rate of patients at low clinical and low genomic risk assessed by 70-gene signature who only received endocrine therapy for 8 years was optimal, suggesting this group of patients might not need to use chemotherapy (<xref ref-type="bibr" rid="B26">26</xref>). Moreover, the low-risk patients with HR-positive and HER2-negative breast cancer who were stratified by a 21-gene assay were also recommended to use endocrine therapy alone, with no need for adjuvant chemotherapy (<xref ref-type="bibr" rid="B27">27</xref>), supporting our results that low-risk patients stratified by RecurIndex assay could omit adjuvant chemotherapy to avoid overtreatment. In women with ER-positive and lymph node-negative breast cancer using 21-gene assay for risk stratification, the patients with high-RS tumors derived a significant benefit from chemotherapy, those with low-RS tumors showed a minimal benefit, while those with intermediate-RS tumors seemed not to get an obvious benefit (<xref ref-type="bibr" rid="B28">28</xref>). In HR-positive, HER2-negative, axillary node-negative breast cancer women with the midrange of RS, adjuvant chemoendocrine therapy and endocrine therapy appeared to have similar efficacy, but some chemotherapy benefits were present in a portion of patients aged &#x2264;50 years (<xref ref-type="bibr" rid="B29">29</xref>). In the current study, however, no significant benefits were observed in high-risk patients with and without chemotherapy who were stratified by RecurIndex assay, which may be affected by various factors, such as small sample size, ethnic differences (<xref ref-type="bibr" rid="B30">30</xref>), different multigene assays and study populations, and require prospective validation in larger cohorts.</p>
<p>The intrinsic subtypes of breast cancer like luminal A, luminal B and HER2-enriched have been widely studied using microarray-based gene expression profiling, offering precise information for the prediction of recurrence risk in EBC (<xref ref-type="bibr" rid="B31">31</xref>). RecurIndex assay was developed with the aim to predict the risk of local and distant recurrences in Chinese EBC patients, and had been validated across diverse cohorts (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B32">32</xref>). In the current study, we found that RecurIndex assay performed well in distinguishing low and high-risk patients with HR-positive and HER2-negative EBC. By contrast, the difference of 7-year DRFS rate was inapparent between luminal A and B patients assessed by IHC staining although the presence of superior 7-year RFS and LRFS rates in luminal A subtype, indirectly demonstrating the clinical utility of RecurIndex assay in a practical setting. Additionally, this study with large sample size was performed at 9 medical centers from China, highlighting the universality of our findings. Nevertheless, our study had several notable limitations. First, some important variables like menopausal status were missing due to the retrospective nature, thus we used an approximate menopausal status defined by an age cutoff at 50 years to assess the benefits of adjuvant chemotherapy (<xref ref-type="bibr" rid="B26">26</xref>). Second, significant differences were not shown between high-risk patients with and without adjuvant chemotherapy, which may result from the small number of patients not receiving adjuvant chemotherapy in high-risk cohort. In the future, we will conduct prospective studies with larger sample size to further confirm our findings.</p>
<p>In conclusion, HR-positive and HER2-negative EBC patients at low risk stratified by RecurIndex assay may be exempt from adjuvant chemotherapy to avoid treatment-related toxicities, while for high-risk patients, whether adjuvant chemotherapy may derive survival benefits still needs larger cohorts to verify.</p>
</sec>
<sec id="s5" 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/s.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Institutional Review Board of The Fourth Hospital of Hebei Medical University (approval No.: QYFYKYLL801311920). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>HaW: Conceptualization, writing-original draft preparation, writing-editing and supervision; LM: Conceptualization, writing-reviewing and editing, supervision; YZ, OW, ZW, XX, XZ, JZ, QL and YR: Clinical sample collection, methodology and investigation; HuW, FD and SC: Data curation and formal analysis. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We thank Amwise Diagnostics Pte. Ltd. for technical support in RecurIndex diagnostic test methodology and preliminary analysis of gene expression.</p>
</ack>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>Authors HuW, FD, and SC were employed by Jiangsu Simcere Diagnostics Co., Ltd.</p>
<p>The remaining 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="s9" 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>
<sec id="s10" 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.2022.896431/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2022.896431/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.pdf" id="SM1" mimetype="application/pdf"/>
<supplementary-material xlink:href="Image_1.tif" id="SF1" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Survival outcomes in low-risk patients with and without adjuvant chemotherapy. The 7-year recurrence-free survival rate <bold>(A)</bold> and distant recurrence-free survival rate <bold>(B)</bold> in patients aged 50 years or younger; The 7-year recurrence-free survival rate <bold>(C)</bold>, distant recurrence-free survival rate <bold>(D)</bold> in patients aged over 50 years; The 7-year recurrence-free survival rate <bold>(E)</bold>, distant recurrence-free survival rate <bold>(F)</bold> in patients receiving endocrine therapy.</p>
</caption>
</supplementary-material>
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