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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JPH</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Public Health Surveill</journal-id>
      <journal-title>JMIR Public Health and Surveillance</journal-title>
      <issn pub-type="epub">2369-2960</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v8i11e40386</article-id>
      <article-id pub-id-type="pmid">36378507</article-id>
      <article-id pub-id-type="doi">10.2196/40386</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Original Paper</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Original Paper</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Stage-Specific Survival in Breast Cancer in Chinese and White Women: Comparative Data Analysis</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Mavragani</surname>
            <given-names>Amaryllis</given-names>
          </name>
        </contrib>
        <contrib contrib-type="editor">
          <name>
            <surname>Eysenbach</surname>
            <given-names>Gunther</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Qing</surname>
            <given-names>Ai</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Cai</surname>
            <given-names>Cheng-Fu</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Wang</surname>
            <given-names>Jun</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-0313-1789</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author" equal-contrib="yes">
          <name name-style="western">
            <surname>Zhou</surname>
            <given-names>Juan</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff3" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-0751-1033</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Liu</surname>
            <given-names>Lei</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-3796-4738</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Wu</surname>
            <given-names>San-Gang</given-names>
          </name>
          <degrees>MD</degrees>
          <xref rid="aff4" ref-type="aff">4</xref>
          <address>
            <institution>Department of Radiation Oncology</institution>
            <institution>the First Affiliated Hospital of Xiamen University</institution>
            <institution>School of Medicine, Xiamen University</institution>
            <addr-line>55 Zhenhai Road</addr-line>
            <addr-line>Xiamen, 361003</addr-line>
            <country>China</country>
            <phone>86 5922139531</phone>
            <email>wusg@xmu.edu.cn</email>
          </address>
          <xref rid="aff5" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-0556-2614</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Department of Head and Neck Oncology, Cancer Center</institution>
        <institution>West China Hospital</institution>
        <institution>Sichuan University</institution>
        <addr-line>Chengdu</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Department of Radiation Oncology, State Key Laboratory of Biotherapy</institution>
        <institution>West China Hospital</institution>
        <institution>Sichuan University</institution>
        <addr-line>Chengdu</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff3">
        <label>3</label>
        <institution>Department of Obstetrics and Gynecology, the First Affiliated Hospital of Xiamen University</institution>
        <institution>School of Medicine</institution>
        <institution>Xiamen University</institution>
        <addr-line>Xiamen</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff4">
        <label>4</label>
        <institution>Department of Radiation Oncology</institution>
        <institution>the First Affiliated Hospital of Xiamen University</institution>
        <institution>School of Medicine, Xiamen University</institution>
        <addr-line>Xiamen</addr-line>
        <country>China</country>
      </aff>
      <aff id="aff5">
        <label>5</label>
        <institution>Xiamen Key Laboratory of Radiation Oncology</institution>
        <institution>Xiamen Cancer Center</institution>
        <addr-line>Xiamen</addr-line>
        <country>China</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: San-Gang Wu <email>wusg@xmu.edu.cn</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <month>11</month>
        <year>2022</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>15</day>
        <month>11</month>
        <year>2022</year>
      </pub-date>
      <volume>8</volume>
      <issue>11</issue>
      <elocation-id>e40386</elocation-id>
      <history>
        <date date-type="received">
          <day>18</day>
          <month>6</month>
          <year>2022</year>
        </date>
        <date date-type="rev-request">
          <day>9</day>
          <month>9</month>
          <year>2022</year>
        </date>
        <date date-type="rev-recd">
          <day>29</day>
          <month>9</month>
          <year>2022</year>
        </date>
        <date date-type="accepted">
          <day>18</day>
          <month>10</month>
          <year>2022</year>
        </date>
      </history>
      <copyright-statement>©Jun Wang, Juan Zhou, Lei Liu, San-Gang Wu. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 15.11.2022.</copyright-statement>
      <copyright-year>2022</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Public Health and Surveillance, is properly cited. The complete bibliographic information, a link to the original publication on https://publichealth.jmir.org, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://publichealth.jmir.org/2022/11/e40386" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Stage-specific survival, according to the eighth edition of the American Joint Committee on Cancer (AJCC) pathological prognostic staging (PPS) on breast cancer (BC), between Chinese and White American women remains unclear.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>This study aimed to assess stage-specific survival in BC between Chinese and White American women according to the eighth AJCC PPS.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>We included Chinese and White American women with BC diagnosed between 2010 and 2018 from the Surveillance, Epidemiology, and End Results database. A chi-square test, the Kaplan–Meier method, a receiver operating characteristic (ROC) curve, and multivariate Cox proportional hazards models were used for data analysis.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>We included 376,818 individuals in this study: 369,522 White American and 7296 Chinese. Of them, 149,452 (39.7%) migrated from the seventh AJCC anatomic staging (AS) to the eighth AJCC PPS, 22,516 (6.0%) were upstaged, and 126,936 (33.7%) were downstaged. With a median follow-up duration of 44 months, the 5-year overall survival and cancer-specific survival (CSS) for the entire group were 87.4% and 95.9%, respectively. The seventh AJCC AS (<italic>P</italic>&#60;.001) and the eighth AJCC PPS (<italic>P</italic>&#60;.001) could significantly predict the survival outcomes of BC, and multivariate analysis revealed that both staging systems were significant prognostic indicators of CSS. The ROC curve revealed that the PPS had a better discriminating ability than the AS (area under the curve [AUC] 0.769 vs 0.753, <italic>P</italic>&#60;.001). Similar trends were observed after stratification by the 2 ethnic groups. The eighth AJCC PPS had better discriminating ability than the seventh AJCC AS among both White American (AUC 0.769 vs 0.753, <italic>P</italic>&#60;.001) and Chinese patients (AUC 0.790 vs 0.776, <italic>P</italic>&#60;.001). In the seventh AJCC AS, Chinese women had better CSS in stage IA (<italic>P</italic>=.02), stage IIA (<italic>P</italic>=.005), and stage IIIB (<italic>P</italic>=.04) disease than White American women, but no significant CSS was observed in stage IB, IIB, IIIA, and IIIC disease between the 2 ethnic groups. Regarding the eighth AJCC PPS, Chinese women had better CSS in stage IA (<italic>P</italic>=.002) and IIIA (<italic>P</italic>=.046) disease than White American women, and CSS was similar in Chinese and White American women in other substages.</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>The eighth AJCC PPS has a similar discriminative ability between White American and Chinese individuals with BC compared with the seventh AJCC AS. Therefore, the eighth AJCC PPS is also applicable to Chinese individuals with BC.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>breast cancer</kwd>
        <kwd>AJCC</kwd>
        <kwd>American Joint Committee on Cancer</kwd>
        <kwd>Chinese</kwd>
        <kwd>White American</kwd>
        <kwd>survival</kwd>
        <kwd>surveillance</kwd>
        <kwd>epidemiology</kwd>
        <kwd>staging</kwd>
        <kwd>pathological prognostic staging</kwd>
        <kwd>AJCC stage</kwd>
        <kwd>overall survival</kwd>
        <kwd>cancer-specific survival</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>Breast cancer (BC) is the most commonly diagnosed cancer among women, and 2,261,419 new cases were estimated to occur worldwide in 2020 [<xref ref-type="bibr" rid="ref1">1</xref>]. The incidence of BC varies among different countries and racial and ethnic groups with age-adjusted rates of 129 per 100,000 population for White American and 75.1 per 100,000 population for Chinese women in the United States, while the rate was 30.69 per 100,000 population for Chinese women based on the Chinese population [<xref ref-type="bibr" rid="ref2">2</xref>,<xref ref-type="bibr" rid="ref3">3</xref>]. The survival outcomes are also discrepant in different races: White American individuals with BC have better cancer-specific survival (CSS) than African American individuals but poorer survival than Chinese individuals [<xref ref-type="bibr" rid="ref4">4</xref>,<xref ref-type="bibr" rid="ref5">5</xref>].</p>
      <p>Traditional American Joint Committee on Cancer (AJCC) anatomic staging (AS) of BC includes tumor size (T), lymph nodes (N), and distant metastasis (M), which has been extensively used for predicting prognosis and guiding treatment in BC [<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref7">7</xref>]. The eighth edition of the AJCC pathological prognostic staging (PPS) integrates the estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor-2 (HER2), and tumor grade into AS, which facilitates better precise prognostic stratification than AS [<xref ref-type="bibr" rid="ref8">8</xref>-<xref ref-type="bibr" rid="ref10">10</xref>]. However, the vast majority of the included patients for establishing the initial model of the eighth AJCC PPS were White American and Hispanic American [<xref ref-type="bibr" rid="ref11">11</xref>], and whether the new PPS is also applicable to the Chinese individuals with BC remains unclear. As the country with the largest population worldwide, China has approximately 400,000 new BC cases annually, and previous studies have shown that Chinese patients have different morbidity and survival outcomes than White American patients [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>,<xref ref-type="bibr" rid="ref12">12</xref>]. Therefore, more ethnic-based studies are needed to explore the value of the PPS in Chinese individuals with BC to make this new staging more widely available.</p>
      <p>Several studies have attempted to validate the value of the new staging in the Chinese population [<xref ref-type="bibr" rid="ref13">13</xref>-<xref ref-type="bibr" rid="ref15">15</xref>]. However, these studies included specific subgroups, such as T1-2N1 and triple-negative breast cancer (TNBC), which could not represent patients with BC in general [<xref ref-type="bibr" rid="ref13">13</xref>-<xref ref-type="bibr" rid="ref15">15</xref>]. In addition, the small sample size and the heterogeneity of treatment also made it difficult to accurately assess the value of the new staging in Chinese patients. In this study, we used a population-based cohort to compare stage-specific survival in BC between White American and Chinese women in accordance with the eighth AJCC PPS, and to expand the applicability of the new staging system in more races.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <sec>
        <title>Data Source and Patient Selection</title>
        <p>The patient data in this study were extracted from the Surveillance, Epidemiology, and End Results (SEER) database between 2010 and 2018. The SEER database collects information on cancer statistics, treatment, and survival, covering approximately 48% of the population in the United States [<xref ref-type="bibr" rid="ref16">16</xref>]. Patients with the following criteria were included: (1) pathologically diagnosed with invasive BC; (2) White American or Chinese individuals with BC; (3) having detailed information on age, TNM stage, ER status, PR status, HER2 status, histology subtype, tumor grade, surgery, radiotherapy, and chemotherapy administration. Male patients, patients with contralateral BC, and those diagnosed with a distant metastatic stage were excluded from this study.</p>
      </sec>
      <sec>
        <title>Variables and Endpoints</title>
        <p>We selected the variables including age (&#60;50, 50-70, and &#62;70 years), race and ethnicity (White American and Chinese), grade (well-, moderately-, poorly differentiated, and undifferentiated), histological subtype (infiltrating duct carcinoma, lobular carcinoma, mixed, and other carcinomas), molecular subtype (luminal A, luminal B, HER2-enriched, and triple-negative BC), T stage (T0-T4), N stage (N0-N3), and the seventh and eighth AJCC staging (IA-IIIC). The races and ethnicities of White American (code 01) and Chinese (code 04) were chosen for analysis using “Race/ethnicity” codes in the SEER database. The end point of this study was CSS, which was calculated as the time from BC diagnosis to the occurrence of BC-related death.</p>
      </sec>
      <sec>
        <title>Ethical Considerations</title>
        <p>This study was approved by the ethics committee of the First Affiliated Hospital of Xiamen University (Xiamen) and West China Hospital, Sichuan University (Chengdu; 2021GGB027). Informed consent is not required because the data were extracted from the SEER database after obtaining permission from the administrator. In addition, the privacy of the participants was well protected through anonymization and deidentification of their information.</p>
      </sec>
      <sec>
        <title>Statistical Analysis</title>
        <p>The Pearson chi-square test was used to compare the differences in baseline characteristics and stage migration changes between groups of Chinese and White American individuals with BC. The receiver operating characteristic (ROC) curve was used to identify the discriminating ability of the AS and PPS. The Kaplan–Meier method was used to plot the survival curves, and the log-rank test was used to compare the differences. Multivariate Cox proportional hazards models were used to calculate the independent risk predictors of CSS. Sensitivity analyses were used to investigate the effect of race on CSS after stratification by different AJCC substages. SPSS (version 22.0; IBM Corp) was used for analyzing all the data. A <italic>P</italic> value less than .05 was defined as the threshold for statistical significance.</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Cohort Characteristics</title>
        <p>In total, 376,818 individuals with BC were identified in this study. Of them, 369,522 (98.1%) were White American and 7296 (1.9%) were Chinese. The proportions of patients aged &#60;50, 50-70, and ≥70 years were 18.3% (n=68,833), 50.9% (n=191,831), and 30.8% (n=116,154), respectively. The majority of the patients had infiltrating ductal carcinoma (n=294,359, 78.1%), a low-grade tumor (n=279,429, 74.2%), luminal A subtype BC (n=288,545, 76.6%), T1-2 stage BC (n=347,931, 92.3%), and N0-1 stage BC (n=351,666, 93.3%).</p>
        <p>Regarding the distribution of baseline characteristics between White American and Chinese individuals, the latter were more likely to be younger (<italic>P</italic>&#60;.001) and have a lower-grade tumor (<italic>P</italic>&#60;.001), infiltrating duct carcinoma (<italic>P</italic>&#60;.001), luminal B or HER2-enriched subtype (<italic>P</italic>&#60;.001), and a lower-stage tumor (<italic>P</italic>&#60;.001) than White American participants. Among all participants, stage IA, IB, IIA, IIB, IIIA, IIIB, and IIIC disease accounted for 53.3% (n=200,926), 2.3% (n=8,569), 23.0% (n=86,651), 11.1% (n=41,837), 5.9% (n=22,237), 2.0% (n=7649), and 2.4% (n=8949) of cases in the seventh AJCC AS and for 66.1% (n=249,173), 15.5% (n=58,405), 7.8% (n=29,379), 3.2% (n=12,116), 3.9% (n=14,800), 1.9% (n=7175), and 1.5% (n=5770) of cases in the eighth AJCC PPS, respectively.</p>
        <p>With regard to the treatments, 96.1% (n=362,189) of the participants received surgical intervention, 52.7% (n=198,399) of them received radiotherapy, and 36.7% (n=139,160) of them received chemotherapy. White American participants were more likely to undergo breast-conserving surgery, while more Chinese participants were treated with mastectomy (<italic>P</italic>&#60;.001). In addition, Chinese participants were more prone to receiving chemotherapy (<italic>P</italic>&#60;.001), while White American patients were more likely to be treated with radiotherapy (<italic>P</italic>&#60;.001). Detailed information on the study population is presented in <xref ref-type="table" rid="table1">Table 1</xref>.</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Participants’ characteristics (N=376,818).</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="10"/>
            <col width="380"/>
            <col width="160"/>
            <col width="190"/>
            <col width="120"/>
            <col width="0"/>
            <col width="0"/>
            <col width="100"/>
            <col width="0"/>
            <col width="0"/>
            <col width="10"/>
            <thead>
              <tr valign="top">
                <td colspan="3">Variables</td>
                <td>Total, n (%)</td>
                <td colspan="3">Race and ethnicity, n (%)</td>
                <td colspan="3"><italic>P</italic> value</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
                <td>White American (n=369,522)</td>
                <td>Chinese (n=7296)</td>
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="8">
                  <bold>Age groups (years)</bold>
                </td>
                <td colspan="3">&#60;.001</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="2">&#60;50</td>
                <td>68,833 (18.3)</td>
                <td>66,803 (18.1)</td>
                <td>2030 (27.8)</td>
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="2">50-69</td>
                <td>191,831 (50.9)</td>
                <td>188,051 (50.9)</td>
                <td>3780 (51.8)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td colspan="2">≥70</td>
                <td>116,154 (30.8)</td>
                <td>114,668 (31.0)</td>
                <td>1486 (20.4)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Grade</bold>
                </td>
                <td colspan="3">&#60;.001</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Well differentiated</td>
                <td>97,389 (25.8)</td>
                <td>95,820 (25.9)</td>
                <td>1569 (21.5)</td>
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Moderately differentiated</td>
                <td>173,649 (46.1)</td>
                <td>170,182 (46.1)</td>
                <td>3467 (47.5)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Poorly differentiated or undifferentiated</td>
                <td>105,780 (28.1)</td>
                <td>103,520 (28.0)</td>
                <td>2260 (31.0)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Histology</bold>
                </td>
                <td colspan="3">&#60;.001</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Infiltrating duct carcinoma</td>
                <td>294,359 (78.1)</td>
                <td>288,243 (78.0)</td>
                <td>6116 (83.8)</td>
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Lobular carcinoma</td>
                <td>39,292 (10.4)</td>
                <td>38,880 (10.5)</td>
                <td>412 (5.6)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Mixed</td>
                <td>22,473 (6.0)</td>
                <td>22,186 (6.0)</td>
                <td>287 (3.9)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Other</td>
                <td>20,694 (5.5)</td>
                <td>20,213 (5.5)</td>
                <td>481 (6.6)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Molecular subtype</bold>
                </td>
                <td colspan="3">&#60;.001</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Luminal A</td>
                <td>288,545 (76.6)</td>
                <td>283,251 (76.7)</td>
                <td>5294 (72.6)</td>
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Luminal B</td>
                <td>37,325 (9.9)</td>
                <td>36,449 (9.9)</td>
                <td>876 (12.0)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>HER2-enriched</td>
                <td>14,065 (3.7)</td>
                <td>13,611 (3.7)</td>
                <td>454 (6.2)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Triple-negative</td>
                <td>36,757 (9.8)</td>
                <td>36,086 (9.8)</td>
                <td>671 (9.2)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>T (tumor size) stage</bold>
                </td>
                <td colspan="3">&#60;.001</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>T0</td>
                <td>164 (0.0)</td>
                <td>160 (0.0)</td>
                <td>4 (0.0)</td>
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>T1</td>
                <td>237,926 (63.1)</td>
                <td>233,569 (63.2)</td>
                <td>4357 (59.7)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>T2</td>
                <td>110,005 (29.2)</td>
                <td>107,560 (29.1)</td>
                <td>2445 (33.5)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>T3</td>
                <td>19,784 (5.3)</td>
                <td>19,443 (5.3)</td>
                <td>341 (4.7)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>T4</td>
                <td>8939 (2.4)</td>
                <td>8790 (2.4)</td>
                <td>149 (2.0)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>N (lymph nodes) stage</bold>
                </td>
                <td colspan="3">.63</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>N0</td>
                <td>272,990 (72.4)</td>
                <td>267,686 (72.4)</td>
                <td>5304 (72.7)</td>
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>N1</td>
                <td>78,676 (20.9)</td>
                <td>77,149 (20.9)</td>
                <td>1527 (20.9)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>N2</td>
                <td>16,203 (4.3)</td>
                <td>15,895 (4.3)</td>
                <td>308 (4.2)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>N3</td>
                <td>8949 (2.4)</td>
                <td>8792 (2.4)</td>
                <td>157 (2.2)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Seventh version of the American Joint Committee on Cancer (AJCC) staging</bold>
                </td>
                <td colspan="3">&#60;.001　</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>IA</td>
                <td>200,926 (53.3)</td>
                <td>197,231 (53.4)</td>
                <td>3695 (50.6)</td>
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>IB</td>
                <td>8569 (2.3)</td>
                <td>8422 (2.3)</td>
                <td>147 (2.0)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>IIA</td>
                <td>86,651 (23.0)</td>
                <td>84,765 (22.9)</td>
                <td>1886 (25.8)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>IIB</td>
                <td>41,837 (11.1)</td>
                <td>40,962 (11.1)</td>
                <td>875 (12.0)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>IIIA</td>
                <td>22,237 (5.9)</td>
                <td>21,827 (5.9)</td>
                <td>410 (5.6)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>IIIB</td>
                <td>7649 (2.0)</td>
                <td>7523 (2.0)</td>
                <td>126 (1.7)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>IIIC</td>
                <td>8949 (2.4)</td>
                <td>8792 (2.4)</td>
                <td>157 (2.2)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Eighth version of the AJCC staging</bold>
                </td>
                <td colspan="3">&#60;.001</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>IA</td>
                <td>249,173 (66.1)</td>
                <td>244,477 (66.2)</td>
                <td>4696 (64.4)</td>
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>IB</td>
                <td>58,405 (15.5)</td>
                <td>57,236 (15.5)</td>
                <td>1169 (16.0)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>IIA</td>
                <td>29,379 (7.8)</td>
                <td>28,722 (7.8)</td>
                <td>657 (9.0)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>IIB</td>
                <td>12,116 (3.2)</td>
                <td>11,843 (3.2)</td>
                <td>273 (3.7)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>IIIA</td>
                <td>14,800 (3.9)</td>
                <td>14,538 (3.9)</td>
                <td>262 (3.6)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>IIIB</td>
                <td>7175 (1.9)</td>
                <td>7023 (1.9)</td>
                <td>152 (2.1)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>IIIC</td>
                <td>5770 (1.5)</td>
                <td>5683 (1.5)</td>
                <td>87 (1.2)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Surgery</bold>
                </td>
                <td colspan="3">&#60;.001　</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>No surgery</td>
                <td>14,145 (3.8)</td>
                <td>13,867 (3.8)</td>
                <td>278 (3.8)</td>
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Breast-conserving surgery</td>
                <td>213,329 (56.6)</td>
                <td>209,671 (56.7)</td>
                <td>3658 (50.1)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Mastectomy</td>
                <td>148,860 (39.5)</td>
                <td>145,509 (39.4)</td>
                <td>3351 (45.9)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Unknown</td>
                <td>484 (0.1)</td>
                <td>475 (0.1)</td>
                <td>9 (0.1)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Radiotherapy</bold>
                </td>
                <td colspan="3">&#60;.001　</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>No</td>
                <td>167,183 (44.4)</td>
                <td>163,677 (44.3)</td>
                <td>3506 (48.1)</td>
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Beam radiation</td>
                <td>187,640 (49.8)</td>
                <td>184,138 (49.8)</td>
                <td>3502 (48.0)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Radioactive implants</td>
                <td>10,759 (2.9)</td>
                <td>10,631 (2.9)</td>
                <td>128 (1.80)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Unknown</td>
                <td>11,236 (3.0)</td>
                <td>11,076 (3.0)</td>
                <td>160 (2.2)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="8">
                  <bold>Chemotherapy</bold>
                </td>
                <td colspan="3">&#60;.001　</td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>No</td>
                <td>237,658 (63.1)</td>
                <td>233,283 (63.1)</td>
                <td>4375 (60.0)</td>
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Yes</td>
                <td>139,160 (36.9)</td>
                <td>136,239 (36.9)</td>
                <td>2921 (40.0)</td>
                <td colspan="3">　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Stage Migration</title>
        <p>According to the seventh AJCC AS, 197,231 (53.4%), 8422 (2.3%), 84,765 (22.9%), 40,962 (11.1%), 21,827 (5.9%), 7523 (2.0%), and 8792 (2.4%) White American participants versus 3695 (50.6%), 147 (2.0%), 1886 (25.8%), 875 (12.0%), 410 (5.6%), 126 (1.7%), and 157 (2.2%) Chinese participants had stage IA, IB, IIA, IIB, IIIA, IIIB, and IIIC disease, respectively (<italic>P</italic>&#60;.001). According to the eighth AJCC PPS, 244,477 (66.2%), 57,236 (15.5%), 28,722 (7.8%), 11,843 (3.2%), 14,538 (3.9%), 7023 (1.9%), and 5683 (1.5%) White American participants versus 4696 (64.4%), 1169 (16.0%), 657 (9.0%), 273 (3.7%), 262 (3.6%), 152 (2.1%), and 87 (1.2%) Chinese participants had stage IA, IB, IIA, IIB, IIIA, IIIB, and IIIC disease, respectively (<italic>P</italic>&#60;.001; <xref ref-type="table" rid="table1">Table 1</xref>). A total of 149,452 (39.7%) participants migrated from the seventh AJCC AS to the eighth AJCC PPS (n=22,516, 6.0% upstaged and n=126,936, 33.7% downstaged). Among the upstaged participants, 22,127 (6.0%) were White American and 389 (6.3%) were Chinese, while among the downstaged participants, 124,368 (33.6%) were White American and 2586 (35.2%) were Chinese (<italic>P</italic>=.004). Furthermore, the disease stages of 223,027 (60.4%) White American and 4339 (59.5%) Chinese participants remained unchanged. There was a significant difference in stage migration (upstaging, downstaging, and unchanging stage) between White American and Chinese participants (<italic>P</italic>=.004). The frequencies of stage discrepancies between White American and Chinese participants are shown in <xref ref-type="table" rid="table2">Table 2</xref>.</p>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>The frequencies of stage discrepancies between White American and Chinese participants.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="140"/>
            <col width="0"/>
            <col width="120"/>
            <col width="0"/>
            <col width="120"/>
            <col width="0"/>
            <col width="100"/>
            <col width="0"/>
            <col width="100"/>
            <col width="0"/>
            <col width="100"/>
            <col width="0"/>
            <col width="90"/>
            <col width="0"/>
            <col width="90"/>
            <col width="0"/>
            <col width="0"/>
            <col width="110"/>
            <thead>
              <tr valign="top">
                <td colspan="3">Seventh AJCC<sup>a</sup> AS<sup>b</sup></td>
                <td colspan="15">Eighth AJCC PPS<sup>c</sup>, n (%)</td>
                <td>Total, n (%)</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="2">IA</td>
                <td colspan="2">IB</td>
                <td colspan="2">IIA</td>
                <td colspan="2">IIB</td>
                <td colspan="2">IIIA</td>
                <td colspan="2">IIIB</td>
                <td colspan="2">IIIC</td>
                <td colspan="2">
                  <break/>
                </td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="19">
                  <bold>White American</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IA</td>
                <td colspan="2">183,587 (49.7)</td>
                <td colspan="2">13,644 (3.7)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="3">197,231 (53.4)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IB</td>
                <td colspan="2">7984 (2.2)</td>
                <td colspan="2">438 (0.1)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="3">8422 (2.3)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIA</td>
                <td colspan="2">48,507 (13.1)</td>
                <td colspan="2">14,764 (4.0)</td>
                <td colspan="2">21,494 (5.8)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="3">84,765 (22.9)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIB</td>
                <td colspan="2">4399 (1.2)</td>
                <td colspan="2">17,924 (4.9)</td>
                <td colspan="2">6058 (1.6)</td>
                <td colspan="2">8379 (2.3)</td>
                <td colspan="2">4202 (1.1)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="3">40,962 (11.1)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIIA</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">10,466 (2.8)</td>
                <td colspan="2">1170 (0.3)</td>
                <td colspan="2">3464 (0.9)</td>
                <td colspan="2">4245 (1.1)</td>
                <td colspan="2">399 (0.1)</td>
                <td colspan="2">2083 (0.6)</td>
                <td colspan="3">21,827 (5.9)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIIB</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">2641 (0.7)</td>
                <td colspan="2">3083 (0.8)</td>
                <td colspan="2">1799 (0.5)</td>
                <td colspan="3">7523 (2.0)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIIC</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">3450 (0.9)</td>
                <td colspan="2">3541 (1.0)</td>
                <td colspan="2">1801 (0.5)</td>
                <td colspan="3">8792 (2.4)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Total</td>
                <td colspan="2">244,477 (66.2)</td>
                <td colspan="2">57,236 (15.5)</td>
                <td colspan="2">28,722 (7.8)</td>
                <td colspan="2">11,843 (3.2)</td>
                <td colspan="2">14,538 (3.9)</td>
                <td colspan="2">7023 (1.9)</td>
                <td colspan="2">5683 (1.5)</td>
                <td colspan="3">369,522 (100)</td>
              </tr>
              <tr valign="top">
                <td colspan="19">
                  <bold>Chinese</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IA</td>
                <td colspan="2">3447 (47.2)</td>
                <td colspan="2">248 (3.4)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="3">3695 (50.6)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IB</td>
                <td colspan="2">143 (2.0)</td>
                <td colspan="2">4 (0.1)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="3">147 (2.0)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIA</td>
                <td colspan="2">1040 (14.3)</td>
                <td colspan="2">350 (4.8)</td>
                <td colspan="2">496 (6.8)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="3">1886 (25.8)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIB</td>
                <td colspan="2">66 (0.1)</td>
                <td colspan="2">404 (5.5)</td>
                <td colspan="2">133 (1.8)</td>
                <td colspan="2">194 (2.7)</td>
                <td colspan="2">78 (1.1)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="3">875 (12.0)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIIA</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">163 (2.2)</td>
                <td colspan="2">28 (0.4)</td>
                <td colspan="2">79 (1.1)</td>
                <td colspan="2">99 (1.4)</td>
                <td colspan="2">9 (0.1)</td>
                <td colspan="2">32 (0.4)</td>
                <td colspan="3">410 (5.6)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIIB</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">38 (0.5)</td>
                <td colspan="2">66 (0.9)</td>
                <td colspan="2">22 (0.3)</td>
                <td colspan="3">126 (1.7)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIIC</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">0 (0)</td>
                <td colspan="2">47 (0.6)</td>
                <td colspan="2">77 (1.1)</td>
                <td colspan="2">33 (0.5)</td>
                <td colspan="3">157 (2.2)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Total</td>
                <td colspan="2">4696 (64.4)</td>
                <td colspan="2">1169 (16.0)</td>
                <td colspan="2">657 (9.0)</td>
                <td colspan="2">273 (3.7)</td>
                <td colspan="2">262 (3.6)</td>
                <td colspan="2">152 (2.1)</td>
                <td colspan="2">87 (1.2)</td>
                <td colspan="3">7296 (100)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table2fn1">
              <p><sup>a</sup>AJCC: American Joint Committee on Cancer.</p>
            </fn>
            <fn id="table2fn2">
              <p><sup>b</sup>AS: anatomic staging.</p>
            </fn>
            <fn id="table2fn3">
              <p><sup>c</sup>PPS: pathological prognostic staging.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Survival and Prognostic Analyses by Race and Ethnicity</title>
        <p>With a median follow-up duration of 44 months (range 0-107 months), 42,522 deaths and 17,807 breast cancer–related deaths occurred. The Kaplan–Meier curves showed that 5-year overall survival and CSS for the entire group were 87.4% and 95.9%, respectively. The seventh AJCC AS (<italic>P</italic>&#60;.001; <xref rid="figure1" ref-type="fig">Figure 1</xref>A) and the eighth AJCC PPS (<italic>P</italic>&#60;.001; <xref rid="figure1" ref-type="fig">Figure 1</xref>B) could significantly predict the survival outcome of BC. Multivariate Cox proportional hazards analysis revealed that the AS and PPS both had significant prognostic predicting value in the study population (<xref ref-type="table" rid="table3">Table 3</xref>). Kaplan–Meier curves (<xref rid="figure1" ref-type="fig">Figure 1</xref>) and ROC curve (area under the curve [AUC] 0.769 vs 0.753, <italic>P</italic>&#60;.001; <xref rid="figure2" ref-type="fig">Figure 2</xref>A) indicated that the eighth AJCC PPS had better discriminating ability than the seventh AJCC AS.</p>
        <p>In White American participants, the AJCC AS (<italic>P</italic>&#60;.001; <xref rid="figure3" ref-type="fig">Figure 3</xref>A) and the AJCC PPS (<italic>P</italic>&#60;.001; <xref rid="figure3" ref-type="fig">Figure 3</xref>B) could also significantly predict survival and prognosis consistent with stages, and multivariate analysis showed that the 2 staging systems were significant prognostic predictors of CSS (<xref ref-type="table" rid="table4">Table 4</xref>). In addition, the eighth AJCC PPS had better discriminating ability than the seventh AJCC AS in White American participants (AUC 0.769 vs 0.753, <italic>P</italic>&#60;.001; <xref rid="figure2" ref-type="fig">Figure 2</xref>B). Similar results were obtained for Chinese participants, in that the seventh AJCC AS (<italic>P</italic>&#60;.001; <xref rid="figure4" ref-type="fig">Figure 4</xref>A) and the eighth AJCC PPS (<italic>P</italic>&#60;.001; <xref rid="figure4" ref-type="fig">Figure 4</xref>B) both had significant prognostic values (<xref ref-type="table" rid="table4">Table 4</xref>), and the eighth AJCC PPS still showed better discriminating ability (AUC 0.790 vs 0.776, <italic>P</italic>&#60;.001; <xref rid="figure2" ref-type="fig">Figure 2</xref>C) in this population.</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Cancer-specific survival according to the anatomic staging (A) and pathological prognostic staging (B) systems for the entire cohort.</p>
          </caption>
          <graphic xlink:href="publichealth_v8i11e40386_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <table-wrap position="float" id="table3">
          <label>Table 3</label>
          <caption>
            <p>Cox multivariate analysis for cancer-specific survival according to different staging systems.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="360"/>
            <col width="0"/>
            <col width="210"/>
            <col width="0"/>
            <col width="90"/>
            <col width="0"/>
            <col width="220"/>
            <col width="0"/>
            <col width="90"/>
            <thead>
              <tr valign="top">
                <td colspan="3">Variables</td>
                <td colspan="4">Cancer-specific survival　</td>
                <td colspan="3">
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td colspan="3">　</td>
                <td colspan="2">Hazard ratio (95% CI)<break/>  <break/>  </td>
                <td colspan="2"><italic>P</italic> value　</td>
                <td colspan="2">Hazard ratio (95% CI)<break/>  <break/>  </td>
                <td><italic>P</italic> value</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="10"><bold>Age (year)</bold>　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>&#60;50</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A<sup>a</sup>　　</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>50-69</td>
                <td colspan="2">1.115 (1.070-1.162)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">1.100 (1.055-1.146)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>≥70</td>
                <td colspan="2">2.458 (2.357-2.564)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">2.413 (2.314-2.517)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Race and ethnicity</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>White</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　　</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Chinese</td>
                <td colspan="2">0.827 (0.732-0.934)</td>
                <td colspan="2">.002 　</td>
                <td colspan="2">0.827 (0.732-0.934)</td>
                <td colspan="2">.002</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Histology</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Infiltrating duct carcinoma</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Lobular carcinoma</td>
                <td colspan="2">1.037 (0.984-1.093)</td>
                <td colspan="2">.18　</td>
                <td colspan="2">1.064 (1.009-1.121)</td>
                <td colspan="2">.02</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Mixed</td>
                <td colspan="2">0.950 (0.888-1.016)</td>
                <td colspan="2">.13　</td>
                <td colspan="2">0.978 (0.914-1.045)</td>
                <td colspan="2">.51</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Other</td>
                <td colspan="2">0.919 (0.862-0.979)</td>
                <td colspan="2">.009　</td>
                <td colspan="2">0.924 (0.867-0.984)</td>
                <td colspan="2">.01</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Grade</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Well differentiated</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Moderately differentiated</td>
                <td colspan="2">1.594 (1.503-1.690)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">1.544 (1.454-1.640)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Poorly differentiated or undifferentiated</td>
                <td colspan="2">2.862 (2.693-3.041)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">2.272 (2.126-2.427)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Molecular subtype</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Luminal A</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Luminal B</td>
                <td colspan="2">0.894 (0.849-0.941)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">0.946 (0.898-0.996)</td>
                <td colspan="2">.03</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>HER2-enriched</td>
                <td colspan="2">1.164 (1.092-1.240)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">1.040 (0.975-1.110)</td>
                <td colspan="2">.23</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Triple negative</td>
                <td colspan="2">2.224 (2.139-2.313)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">1.560 (1.482-1.641)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>T (tumor size) stage</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>T0</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>T1</td>
                <td colspan="2">0.735 (0.477-1.133)</td>
                <td colspan="2">.16　</td>
                <td colspan="2">0.623 (0.405-0.958)</td>
                <td colspan="2">.03</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>T2</td>
                <td colspan="2">1.007 (0.655-1.548)</td>
                <td colspan="2">.98　</td>
                <td colspan="2">1.136 (0.739-1.745)</td>
                <td colspan="2">.56</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>T3</td>
                <td colspan="2">1.428 (0.927-2.201)</td>
                <td colspan="2">.11　</td>
                <td colspan="2">1.555 (1.011-2.393)</td>
                <td colspan="2">.045</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>T4</td>
                <td colspan="2">2.072 (1.335-3.217)</td>
                <td colspan="2">.001　</td>
                <td colspan="2">2.160 (1.402-3.329)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>N (lymph nodes) stage</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>N0</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>N1</td>
                <td colspan="2">1.202 (1.132-1.276)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">1.369 (1.311-1.429)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>N2</td>
                <td colspan="2">1.618 (1.477-1.774)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">1.821 (1.714-1.935)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>N3</td>
                <td colspan="2">8.945 (8.212-9.745)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">2.261 (2.093-2.442)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Seventh edition of the American Joint Committee on Cancer (AJCC) staging</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IA</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
                <td colspan="2">—<sup>b</sup>　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IB</td>
                <td colspan="2">1.389 (1.196-1.612)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">—</td>
                <td colspan="2">—</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIA</td>
                <td colspan="2">2.029 (1.882-2.188)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">—<break/>  <break/>  </td>
                <td colspan="2">—</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIB</td>
                <td colspan="2">2.791 (2.493-3.124)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">—<break/>  <break/>  </td>
                <td colspan="2">—</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIIA</td>
                <td colspan="2">3.399 (2.973-3.888)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">—<break/>  <break/>  </td>
                <td colspan="2">—</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIIB</td>
                <td colspan="2">4.162 (3.575-4.843)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">—<break/>  <break/>  </td>
                <td colspan="2">—</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIIC</td>
                <td colspan="2">8.945 (8.212-9.745)</td>
                <td colspan="2">&#60;.001　</td>
                <td colspan="2">—<break/>  <break/>  </td>
                <td colspan="2">—</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Eighth edition of the AJCC pathologic prognostic staging</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IA</td>
                <td colspan="2">—　</td>
                <td colspan="2">N/A　</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IB</td>
                <td colspan="2">—</td>
                <td colspan="2">—<break/>　</td>
                <td colspan="2">1.541 (1.449-1.639)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIA</td>
                <td colspan="2">—<break/>  <break/>  </td>
                <td colspan="2">—<break/>　</td>
                <td colspan="2">2.043 (1.894-2.202)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIB</td>
                <td colspan="2">—<break/>  <break/>  </td>
                <td colspan="2">—<break/>　</td>
                <td colspan="2">2.534 (2.313-2.754)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIIA</td>
                <td colspan="2">—<break/>  <break/>  </td>
                <td colspan="2">—<break/>　</td>
                <td colspan="2">2.773 (2.533-3.036)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIIB</td>
                <td colspan="2">—<break/>  <break/>  </td>
                <td colspan="2">—<break/>　</td>
                <td colspan="2">3.060 (2).735-3.425</td>
                <td colspan="2">&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>IIIC</td>
                <td colspan="2">—<break/>  <break/>  </td>
                <td colspan="2">—<break/>　</td>
                <td colspan="2">4.380 (3.872-4.955)</td>
                <td colspan="2">&#60;.001</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table3fn1">
              <p><sup>a</sup>N/A: not applicable.</p>
            </fn>
            <fn id="table3fn2">
              <p><sup>b</sup>Not available.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <fig id="figure2" position="float">
          <label>Figure 2</label>
          <caption>
            <p>Receiver operating characteristic curve for predicting the discriminating value of the seventh and the eighth editions of the American Joint Committee on Cancer (AJCC) staging system in the entire cohort (A), White American women (B), and Chinese women (C).</p>
          </caption>
          <graphic xlink:href="publichealth_v8i11e40386_fig2.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <fig id="figure3" position="float">
          <label>Figure 3</label>
          <caption>
            <p>Kaplan–Meier curve for cancer-specific survival according to the seventh (A) and eighth editions of the American Joint Committee on Cancer (B) staging system in White American women.</p>
          </caption>
          <graphic xlink:href="publichealth_v8i11e40386_fig3.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <fig id="figure4" position="float">
          <label>Figure 4</label>
          <caption>
            <p>Kaplan–Meier curve for cancer-specific survival according to the seventh (A) and eighth editions of the American Joint Committee on Cancer (B) staging system in Chinese women.</p>
          </caption>
          <graphic xlink:href="publichealth_v8i11e40386_fig4.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <table-wrap position="float" id="table4">
          <label>Table 4</label>
          <caption>
            <p>Cox multivariate analysis for cancer-specific survival according to race.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="700"/>
            <col width="190"/>
            <col width="80"/>
            <thead>
              <tr valign="top">
                <td colspan="2">Variables</td>
                <td colspan="2">Cancer-specific survival</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <break/>
                </td>
                <td>Hazard ratio (95% CI)</td>
                <td><italic>P</italic> value</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="4">
                  <bold>White American</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Seventh edition of the American Joint Committee on Cancer (AJCC) anatomic staging (AS)</td>
                <td>1.358 (1.325-1.391)</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Eighth edition of the AJCC pathological prognostic staging (PPS)</td>
                <td>1.244 (1.223-1.265)</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td colspan="4">
                  <bold>Chinese</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Seventh edition of the AJCC AS</td>
                <td>1.493 (1.225-1.818)</td>
                <td>&#60;.001</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Eighth edition of the AJCC PPS</td>
                <td>1.242 (1.082-1.427)</td>
                <td>.002</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec>
        <title>Survival and Prognostic Analyses According to All Substages</title>
        <p>According to the seventh AJCC AS, Chinese women had a better 5-year CSS in stage IA (98.6% vs 99.1%, <italic>P</italic>=.01), stage IIA (95.8% vs 97.7%, <italic>P</italic>&#60;.001), and stage IIIB (78.0% vs 86.5%, <italic>P</italic>=.01) disease than White American women, while no significant 5-year CSS was observed in those with stage IB (98.1% vs 99.3%, <italic>P</italic>=.37), IIB (93.1% vs 93.8%, <italic>P</italic>=.69), IIIA (88.9% vs 90.7%, <italic>P</italic>=.92), and IIIC (78.4% vs 79.6%, <italic>P</italic>=.93) disease (<xref rid="figure5" ref-type="fig">Figure 5</xref>). Multivariate Cox proportional hazards analysis revealed that race was an independent predictor in stage IA (hazard ratio [HR] 0.679, 95% CI 0.491-0.939, <italic>P</italic>=.02), IIA (HR 0.683, 95% CI 0.524-0.892, <italic>P</italic>=.005), and IIIB (HR 0.616, 95% CI 0.392-0.969, <italic>P</italic>=.04) disease but not in stage IB (<italic>P</italic>=.56), IIB (<italic>P</italic>=.94), IIIA (<italic>P</italic>=.82), and IIIC (<italic>P</italic>=.70) disease (<xref ref-type="table" rid="table5">Table 5</xref>).</p>
        <p>When further stratified by the eighth AJCC PPS, Chinese women had a better 5-year CSS in stage IA (98.7% vs 99.2%, <italic>P</italic>&#60;.001), stage IIA (92.0% vs 94.8%, <italic>P</italic>=.049), and IIIA (85.5% vs 90.8%, <italic>P</italic>=.02) disease than White American women, and the 5-year CSS was not significant in those with stage IB (95.6% vs 96.3%, <italic>P</italic>=.44), IIB (89.4% vs 91.2%, <italic>P</italic>=.42), IIIB (78.2% vs 78.2%, <italic>P</italic>=.89), and IIIC (64.5% vs 73.5%, <italic>P</italic>=.42) disease between White American and Chinese women (<xref rid="figure6" ref-type="fig">Figure 6</xref>). Cox multivariate analysis revealed that Chinese women had a better CSS in stage IA (HR 0.673, 95% CI 0.476-0.853, <italic>P</italic>=.002) and IIIA (HR 0.689, 95% CI 0.478-0.994, <italic>P</italic>=.046) disease than White American women, but race was not a prognostic factor in those with stage IB (<italic>P</italic>=.85), IIA (<italic>P</italic>=.27), IIB (<italic>P</italic>=.90), IIIB (<italic>P</italic>=.63), and IIIC (<italic>P</italic>=.25) disease (<xref ref-type="table" rid="table5">Table 5</xref>).</p>
        <fig id="figure5" position="float">
          <label>Figure 5</label>
          <caption>
            <p>Survival curves for cancer-specific survival between White American and Chinese women with breast cancer according to the seventh edition of the American Joint Committee on Cancer substages. (A) Stage IA, (B) stage IB, (C) stage IIA, (D) stage IIB, (E) stage IIIA, (F) stage IIIB, and (G) stage IIIC.</p>
          </caption>
          <graphic xlink:href="publichealth_v8i11e40386_fig5.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
        <table-wrap position="float" id="table5">
          <label>Table 5</label>
          <caption>
            <p>Cox multivariate analysis for cancer-specific survival between White American and Chinese women according to the seventh and eighth editions of the American Joint Committee on Cancer (AJCC) substages.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="210"/>
            <col width="0"/>
            <col width="280"/>
            <col width="0"/>
            <col width="100"/>
            <col width="0"/>
            <col width="280"/>
            <col width="0"/>
            <col width="100"/>
            <thead>
              <tr valign="top">
                <td colspan="3">Variables</td>
                <td colspan="4">Seventh edition of the AJCC staging</td>
                <td colspan="3">Eighth edition of the AJCC staging</td>
              </tr>
              <tr valign="top">
                <td colspan="3">
                  <break/>
                </td>
                <td colspan="2">Hazard ratio (95% CI)</td>
                <td colspan="2"><italic>P</italic> value</td>
                <td colspan="2">Hazard ratio (95% CI)</td>
                <td><italic>P</italic> value</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="10">
                  <bold>Stage IA</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>White American</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A<sup>a</sup>　</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Chinese</td>
                <td colspan="2">0.679 (0.491-0.939)</td>
                <td colspan="2">.02</td>
                <td colspan="2">0.637 (0.476-0.853)</td>
                <td colspan="2">.002</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Stage IB</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>White American</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Chinese</td>
                <td colspan="2">0.659 (0.163-2.663)</td>
                <td colspan="2">.56</td>
                <td colspan="2">0.975 (0.750-1.268)</td>
                <td colspan="2">.85</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Stage IIA</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>White American</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Chinese</td>
                <td colspan="2">0.683 (0.524-0.892)</td>
                <td colspan="2">.005</td>
                <td colspan="2">0.872 (0.620-1.142)</td>
                <td colspan="2">.27</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Stage IIB</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>White American</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Chinese</td>
                <td colspan="2">1.010 (0.790-1.292)</td>
                <td colspan="2">.94</td>
                <td colspan="2">0.976 (0.675-1.410)</td>
                <td colspan="2">.90</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Stage IIIA</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>White American</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Chinese</td>
                <td colspan="2">1.034 (0.780-1.372)</td>
                <td colspan="2">.82</td>
                <td colspan="2">0.689 (0.478-0.994)</td>
                <td colspan="2">.046</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Stage IIIB</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>White American</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Chinese</td>
                <td colspan="2">0.616 (0.392-0.969)</td>
                <td colspan="2">.04</td>
                <td colspan="2">1.083 (0.781-1.501)</td>
                <td colspan="2">.63</td>
              </tr>
              <tr valign="top">
                <td colspan="10">
                  <bold>Stage IIIC</bold>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>White American</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
                <td colspan="2">1 (reference)　</td>
                <td colspan="2">N/A　</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Chinese</td>
                <td colspan="2">1.066 (0.769-1.477)</td>
                <td colspan="2">.70</td>
                <td colspan="2">0.790 (0.528-1.183)</td>
                <td colspan="2">.25</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table5fn1">
              <p><sup>a</sup>N/A: not applicable.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <fig id="figure6" position="float">
          <label>Figure 6</label>
          <caption>
            <p>Survival curves for cancer-specific survival between White American and Chinese women with breast cancer according to the eighth edition of the American Joint Committee on Cancer substages. (A) Stage IA, (B) stage IB, (C) stage IIA, (D) stage IIB, (E) stage IIIA, (F) stage IIIB, and (G) stage IIIC.</p>
          </caption>
          <graphic xlink:href="publichealth_v8i11e40386_fig6.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <sec>
        <title>Principal Findings</title>
        <p>This study aimed to evaluate stage-specific survival in BC between Chinese and White American women in accordance with the eighth AJCC PPS. Our results show that the eighth AJCC PPS had a similar discriminating ability between White American and Chinese participants with BC compared with the seventh AJCC AS. Our study provides additional data on the use of new PPS in different races based on current real-world practices.</p>
        <p>Advances in molecular biomarkers (ER, PR, and HER2) and their close relationship with treatment responses and prognosis rendered the traditional AS unable to meet the trend of individualized treatment [<xref ref-type="bibr" rid="ref6">6</xref>,<xref ref-type="bibr" rid="ref7">7</xref>,<xref ref-type="bibr" rid="ref17">17</xref>]. The eighth AJCC PPS, which integrates the aforementioned biomarkers and grade, facilitates more precise prognosis prediction than the seventh AJCC AS [<xref ref-type="bibr" rid="ref8">8</xref>-<xref ref-type="bibr" rid="ref10">10</xref>]. However, the small sample size and treatment heterogeneity in their studies limited the application of the eighth AJCC PPS in BC. In our real-world study with a large sample size (n=376,818), the eighth AJCC PPS revealed better prognostic accuracy than the seventh AJCC AS (<italic>P</italic>&#60;.001) and performed well with discriminating ability consistent with disease stages. Therefore, the new AJCC staging system could better predict prognosis and guide the treatment of BC.</p>
        <p>Our study shows that 149,452 (39.7%) individuals with BC migrated from the AJCC AS to AJCC PPS, which was similar to the rates observed in previous studies (20.7%-52.8%) [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref18">18</xref>-<xref ref-type="bibr" rid="ref22">22</xref>]. The downstaging rate was significantly higher than upstaging rate (33.7% vs 6.0%) in this study, and the results are consistent with those of previous studies (downstaging: 15.2%-42.1%; upstaging: 5.5%-41.0%) [<xref ref-type="bibr" rid="ref10">10</xref>,<xref ref-type="bibr" rid="ref18">18</xref>-<xref ref-type="bibr" rid="ref22">22</xref>]. Change in stage leads to diverse therapeutic decisions. The new AJCC staging enabled 126,936 (33.7%) participants to be downstaged, and these patients might be exempt from the therapies, such as chemotherapy and radiotherapy, which could ensure efficacy and reduce the treatment burden of patients [<xref ref-type="bibr" rid="ref23">23</xref>]. In our previous studies, we found that the new AJCC staging can accurately guide individualized treatment of patients with BC in clinical decision-making. Patients who were downstaged from the eighth AJCC PPS can safely avoid adjuvant chemotherapy or radiotherapy [<xref ref-type="bibr" rid="ref24">24</xref>-<xref ref-type="bibr" rid="ref26">26</xref>]. Therefore, the 8th AJCC staging better reflects the trend of personalized treatment. In addition, among the patients with stage changes in this study, White American participants had a higher upstaging rate than Chinese participants (6.0% vs 5.3%), while the latter had a higher downstaging rate than the former (35.2% vs 33.6%). The Will Rogers phenomenon might explain the differences in “stage migration” in individuals with cancer who are of different races. Differences in culture, education, and diet lead to differences in migration rates between different ethnic groups [<xref ref-type="bibr" rid="ref27">27</xref>-<xref ref-type="bibr" rid="ref29">29</xref>]. In addition, socioeconomic status might be another critical factor affecting stage distribution and survival outcomes in different races. A study by Kantor et al [<xref ref-type="bibr" rid="ref30">30</xref>] included 259,852 individuals with BC who are of different races and reported that non-Hispanic Black individuals and those of lower socioeconomic status had a lower disease-specific survival, even in all substages of the PPS [<xref ref-type="bibr" rid="ref30">30</xref>].</p>
        <p>The initial model for establishing the new AJCC PPS in BC was based on 305,519 patients from National Cancer Database between 2010 and 2012 [<xref ref-type="bibr" rid="ref11">11</xref>]. However, the majority of the participants were White American and Hispanic American [<xref ref-type="bibr" rid="ref11">11</xref>]. Therefore, the applicability of the eighth edition of the AJCC staging in Asian individuals, especially in Chinese individuals, remains unclear. Several retrospective studies explored the value of new AJCC staging in Chinese individuals with BC. However, only partial subgroups of BC, such as T1-2N1 and TNBC were included [<xref ref-type="bibr" rid="ref13">13</xref>-<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref31">31</xref>]. The cohort study conducted by He et al [<xref ref-type="bibr" rid="ref15">15</xref>] recruited patients with TNBC from Sun Yat-sen University Cancer Center (n=611) and the SEER database (n=31,941) to examine the prognostic value of the eighth AJCC PPS in comparison with the seventh AJCC AS. However, no significant discriminatory ability was observed between the 2 staging systems in Chinese individuals with BC in this study and patients from the SEER database [<xref ref-type="bibr" rid="ref15">15</xref>]. The opposite result was obtained in another study conducted by Yang et al [<xref ref-type="bibr" rid="ref31">31</xref>], which included 1556 Chinese individuals with BC and compared the prognostic value of the 2 staging systems. They found that the new AJCC PPS had better accuracy of prognosis prediction than AS in Chinese individuals with BC [<xref ref-type="bibr" rid="ref28">28</xref>]. However, their sample size was relatively small, especially in the eighth AJCC PPS of stage IIB (n=83) and IIIC (n=22). Therefore, their result might not accurately reflect the value of new staging [<xref ref-type="bibr" rid="ref31">31</xref>]. In addition, most of the studies assessing the effect of the eighth AJCC PPS in the Chinese population lacked a comparison with the standard population, and their applicability may not be adequate [<xref ref-type="bibr" rid="ref13">13</xref>-<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref31">31</xref>]. In our study, we used a much larger sample to evaluate the new AJCC staging, and we observed a better discriminating value than that of the AJCC AS regardless of race. Therefore, our study better verified the applicability of the new staging in Chinese individuals with BC.</p>
        <p>In a previous SEER study, Lim et al [<xref ref-type="bibr" rid="ref4">4</xref>] reported that Chinese women with BC in the United States have better CSS than White American women, and the largest survival differences between Chinese and White American women were observed for stage I and node-negative cancers [<xref ref-type="bibr" rid="ref4">4</xref>]. In this study, using the new AJCC staging, we found that Chinese women had superior CSS among those with stage IA and stage IIIA disease compared to White American women. The main reasons for this difference are not clear. The differences in treatment compliance and inherent genetic predisposition may lead to differences in survival between the 2 ethnic groups [<xref ref-type="bibr" rid="ref32">32</xref>-<xref ref-type="bibr" rid="ref35">35</xref>].</p>
      </sec>
      <sec>
        <title>Limitations</title>
        <p>There are several limitations to be acknowledged in this study. First, we extracted the patient data from the SEER database, and selection biases inherently existing in retrospective studies should not be disregarded. Second, although the sample size of the group of Chinese individuals was much larger than that in previous studies, the number of individuals in some substages, such as stage IIIC (n=87), was still small. Therefore, the value of new AJCC staging in Chinese individuals with BC should be further explored. Third, details of treatment were not collected in the SEER database, including radiotherapy (technique, target volume, and radiation dose), chemotherapy regimens, endocrine therapy (regimen and duration), and targeted therapy, which may potentially affect the final analysis. Even with these limitations, our study reflects real-world practices and extends the applicability of the new staging.</p>
      </sec>
      <sec>
        <title>Conclusions</title>
        <p>In conclusion, our study suggests that the eighth AJCC PPS has a similar discriminating ability in White American and Chinese individuals with BC than the AJCC AS. Therefore, the new staging is also applicable to Chinese individuals with BC. Further studies are needed to explore the value of the PPS in Chinese individuals with BC.</p>
      </sec>
    </sec>
  </body>
  <back>
    <app-group/>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">AJCC</term>
          <def>
            <p>American Joint Committee on Cancer</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb2">AS</term>
          <def>
            <p>anatomic staging</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb3">AUC</term>
          <def>
            <p>area under the curve</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb4">BC</term>
          <def>
            <p>breast cancer</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb5">CSS</term>
          <def>
            <p>cancer-specific survival</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb6">ER</term>
          <def>
            <p>estrogen receptor</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb7">HR</term>
          <def>
            <p>hazard ratio</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb8">M</term>
          <def>
            <p>distant metastasis</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb9">N</term>
          <def>
            <p>lymph nodes</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb10">PPS</term>
          <def>
            <p>pathological prognostic staging</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb11">PR</term>
          <def>
            <p>progesterone receptor</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb12">SEER</term>
          <def>
            <p>Surveillance, Epidemiology, and End Results</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb13">T</term>
          <def>
            <p>tumor size</p>
          </def>
        </def-item>
        <def-item>
          <term id="abb14">TNBC</term>
          <def>
            <p>triple-negative breast cancer</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ack>
      <p>We acknowledge the efforts of the SEER Program’s tumor registries in the creation of the SEER database. This work was partly supported by the Commission Young and Middle-aged Talents Training Project of Fujian Health Commission (2019-ZQNB-25 and 2021GGB027) and the Natural Science Foundation of Fujian Province (2020J011240).</p>
    </ack>
    <fn-group>
      <fn fn-type="con">
        <p>SGW and LL conceived the study design. SGW participated in performed data cleaning, and statistical analysis. JW and JZ wrote the original draft. SGW and LL were responsible for resources and supervision. SGW and LL edited the manuscript. Authors SGW and LL are cocorresponding authors for this paper.</p>
      </fn>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
    <ref-list>
      <ref id="ref1">
        <label>1</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Sung</surname>
              <given-names>H</given-names>
            </name>
            <name name-style="western">
              <surname>Ferlay</surname>
              <given-names>J</given-names>
            </name>
            <name name-style="western">
              <surname>Siegel</surname>
              <given-names>RL</given-names>
            </name>
            <name name-style="western">
              <surname>Laversanne</surname>
              <given-names>M</given-names>
            </name>
            <name name-style="western">
              <surname>Soerjomataram</surname>
              <given-names>I</given-names>
            </name>
            <name name-style="western">
              <surname>Jemal</surname>
              <given-names>A</given-names>
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