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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JC</journal-id>
      <journal-id journal-id-type="nlm-ta">JMIR Cancer</journal-id>
      <journal-title>JMIR Cancer</journal-title>
      <issn pub-type="epub">2369-1999</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">v7i3e27063</article-id>
      <article-id pub-id-type="pmid">34542414</article-id>
      <article-id pub-id-type="doi">10.2196/27063</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>Gaps in Public Awareness About BRCA and Genetic Testing in Prostate Cancer: Social Media Landscape Analysis</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Vollmer Dahlke</surname>
            <given-names>Deborah</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Dormanesh</surname>
            <given-names>Allison</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Attai</surname>
            <given-names>Deanna</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Joseph</surname>
            <given-names>Gili</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Persky</surname>
            <given-names>Susan</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Ozaki</surname>
            <given-names>Akihiko</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Loeb</surname>
            <given-names>Stacy</given-names>
          </name>
          <degrees>MD, MSc, PhD</degrees>
          <xref rid="aff01" ref-type="aff">1</xref>
          <address>
            <institution>Department of Urology and Population Health</institution>
            <institution>New York University School of Medicine</institution>
            <addr-line>227 E 30th Street #612</addr-line>
            <addr-line>New York, NY, 10016</addr-line>
            <country>United States</country>
            <phone>1 7182619100</phone>
            <email>stacyloeb@gmail.com</email>
          </address>
          <xref rid="aff02" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-3933-9207</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Massey</surname>
            <given-names>Philip</given-names>
          </name>
          <xref rid="aff03" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-0577-8618</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Leader</surname>
            <given-names>Amy E</given-names>
          </name>
          <xref rid="aff04" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-9514-3631</ext-link>
        </contrib>
        <contrib id="contrib4" contrib-type="author">
          <name name-style="western">
            <surname>Thakker</surname>
            <given-names>Sameer</given-names>
          </name>
          <xref rid="aff05" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-6870-1434</ext-link>
        </contrib>
        <contrib id="contrib5" contrib-type="author">
          <name name-style="western">
            <surname>Falge</surname>
            <given-names>Emily</given-names>
          </name>
          <xref rid="aff05" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-9133-6199</ext-link>
        </contrib>
        <contrib id="contrib6" contrib-type="author">
          <name name-style="western">
            <surname>Taneja</surname>
            <given-names>Sabina</given-names>
          </name>
          <xref rid="aff05" ref-type="aff">5</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-1847-8884</ext-link>
        </contrib>
        <contrib id="contrib7" contrib-type="author">
          <name name-style="western">
            <surname>Byrne</surname>
            <given-names>Nataliya</given-names>
          </name>
          <xref rid="aff01" ref-type="aff">1</xref>
          <xref rid="aff02" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-6376-5444</ext-link>
        </contrib>
        <contrib id="contrib8" contrib-type="author">
          <name name-style="western">
            <surname>Rose</surname>
            <given-names>Meredith</given-names>
          </name>
          <xref rid="aff03" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-0439-4161</ext-link>
        </contrib>
        <contrib id="contrib9" contrib-type="author">
          <name name-style="western">
            <surname>Joy</surname>
            <given-names>Matthew</given-names>
          </name>
          <xref rid="aff03" ref-type="aff">3</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-7574-0906</ext-link>
        </contrib>
        <contrib id="contrib10" contrib-type="author">
          <name name-style="western">
            <surname>Walter</surname>
            <given-names>Dawn</given-names>
          </name>
          <xref rid="aff01" ref-type="aff">1</xref>
          <xref rid="aff02" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-5627-2337</ext-link>
        </contrib>
        <contrib id="contrib11" contrib-type="author">
          <name name-style="western">
            <surname>Katz</surname>
            <given-names>Matthew S</given-names>
          </name>
          <xref rid="aff06" ref-type="aff">6</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-0239-9807</ext-link>
        </contrib>
        <contrib id="contrib12" contrib-type="author">
          <name name-style="western">
            <surname>Wong</surname>
            <given-names>Risa L</given-names>
          </name>
          <xref rid="aff07" ref-type="aff">7</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0003-1658-9465</ext-link>
        </contrib>
        <contrib id="contrib13" contrib-type="author">
          <name name-style="western">
            <surname>Selvan</surname>
            <given-names>Preethi</given-names>
          </name>
          <xref rid="aff04" ref-type="aff">4</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-3621-8461</ext-link>
        </contrib>
        <contrib id="contrib14" contrib-type="author">
          <name name-style="western">
            <surname>Keith</surname>
            <given-names>Scott W</given-names>
          </name>
          <degrees>PhD</degrees>
          <xref rid="aff08" ref-type="aff">8</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-9428-1151</ext-link>
        </contrib>
        <contrib id="contrib15" contrib-type="author">
          <name name-style="western">
            <surname>Giri</surname>
            <given-names>Veda N</given-names>
          </name>
          <xref rid="aff04" ref-type="aff">4</xref>
          <xref rid="aff09" ref-type="aff">9</xref>
          <xref rid="aff10" ref-type="aff">10</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0002-7268-5913</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff01">
        <label>1</label>
        <institution>Department of Urology and Population Health</institution>
        <institution>New York University School of Medicine</institution>
        <addr-line>New York, NY</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff02">
        <label>2</label>
        <institution>Manhattan Veterans Affairs</institution>
        <addr-line>New York, NY</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff03">
        <label>3</label>
        <institution>Department of Community Health and Prevention, Dornsife School of Public Health, Drexel University</institution>
        <addr-line>Philadelphia, PA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff04">
        <label>4</label>
        <institution>Department of Medical Oncology</institution>
        <institution>Sidney Kimmel Cancer Center</institution>
        <institution>Thomas Jefferson University</institution>
        <addr-line>Philadelphia, PA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff05">
        <label>5</label>
        <institution>Department of Urology, New York University School of Medicine</institution>
        <addr-line>New York, NY</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff06">
        <label>6</label>
        <institution>Department of Radiation Medicine, Lowell General Hospital</institution>
        <addr-line>Lowell, MA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff07">
        <label>7</label>
        <institution>Department of Medical Oncology, University of Washington</institution>
        <addr-line>Seattle, WA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff08">
        <label>8</label>
        <institution>Division of Biostatistics, Department of Pharmacology and Experimental Therapeutics, Sidney Kimmel Medical College, Thomas Jefferson University</institution>
        <addr-line>Philadelphia, PA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff09">
        <label>9</label>
        <institution>Department of Cancer Biology</institution>
        <institution>Thomas Jefferson University</institution>
        <addr-line>Philadelphia, PA</addr-line>
        <country>United States</country>
      </aff>
      <aff id="aff10">
        <label>10</label>
        <institution>Department of Urology</institution>
        <institution>Thomas Jefferson University</institution>
        <addr-line>Philadelphia, PA</addr-line>
        <country>United States</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Stacy Loeb <email>stacyloeb@gmail.com</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <season>Jul-Sep</season>
        <year>2021</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>20</day>
        <month>9</month>
        <year>2021</year>
      </pub-date>
      <volume>7</volume>
      <issue>3</issue>
      <elocation-id>e27063</elocation-id>
      <history>
        <date date-type="received">
          <day>9</day>
          <month>1</month>
          <year>2021</year>
        </date>
        <date date-type="rev-request">
          <day>18</day>
          <month>2</month>
          <year>2021</year>
        </date>
        <date date-type="rev-recd">
          <day>8</day>
          <month>4</month>
          <year>2021</year>
        </date>
        <date date-type="accepted">
          <day>1</day>
          <month>6</month>
          <year>2021</year>
        </date>
      </history>
      <copyright-statement>©Stacy Loeb, Philip Massey, Amy E Leader, Sameer Thakker, Emily Falge, Sabina Taneja, Nataliya Byrne, Meredith Rose, Matthew Joy, Dawn Walter, Matthew S Katz, Risa L Wong, Preethi Selvan, Scott W Keith, Veda N Giri. Originally published in JMIR Cancer (https://cancer.jmir.org), 20.09.2021.</copyright-statement>
      <copyright-year>2021</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 Cancer, is properly cited. The complete bibliographic information, a link to the original publication on https://cancer.jmir.org/, as well as this copyright and license information must be included.</p>
      </license>
      <self-uri xlink:href="https://cancer.jmir.org/2021/3/e27063" xlink:type="simple"/>
      <abstract>
        <sec sec-type="background">
          <title>Background</title>
          <p>Genetic testing, particularly for <italic>BRCA1/2</italic>, is increasingly important in prostate cancer (PCa) care, with impact on PCa management and hereditary cancer risk. However, the extent of public awareness and online discourse on social media is unknown, and presents opportunities to identify gaps and enhance population awareness and uptake of advances in PCa precision medicine.</p>
        </sec>
        <sec sec-type="objective">
          <title>Objective</title>
          <p>The objective of this study was to characterize activity and engagement across multiple social media platforms (Twitter, Facebook, and YouTube) regarding <italic>BRCA</italic> and genetic testing for PCa compared with breast cancer, which has a long history of public awareness, advocacy, and prominent social media presence.</p>
        </sec>
        <sec sec-type="methods">
          <title>Methods</title>
          <p>The Symplur Signals online analytics platform was used to obtain metrics for tweets about (1) #BRCA and #breastcancer, (2) #BRCA and #prostatecancer, (3) #genetictesting and #breastcancer, and (4) #genetictesting and #prostatecancer from 2016 to 2020. We examined the total number of tweets, users, and reach for each hashtag, and performed content analysis for a subset of tweets. Facebook and YouTube were queried using analogous search terms, and engagement metrics were calculated.</p>
        </sec>
        <sec sec-type="results">
          <title>Results</title>
          <p>During a 5-year period, there were 10,005 tweets for #BRCA and #breastcancer, versus 1008 tweets about #BRCA and #prostatecancer. There were also more tweets about #genetictesting and #breastcancer (n=1748), compared with #genetic testing and #prostatecancer (n=328). Tweets about genetic testing (12,921,954) and <italic>BRCA</italic> (75,724,795) in breast cancer also had substantially greater reach than those about PCa (1,463,777 and 4,849,905, respectively). Facebook <italic>groups</italic> and <italic>pages</italic> regarding PCa and <italic>BRCA</italic>/genetic testing had fewer average members, new members, and new posts, as well as fewer likes and followers, compared with breast cancer. Facebook <italic>videos</italic> had more engagement than YouTube videos across both PCa and breast cancer content.</p>
        </sec>
        <sec sec-type="conclusions">
          <title>Conclusions</title>
          <p>There is substantially less social media engagement about <italic>BRCA</italic> and genetic testing in PCa compared with breast cancer. This landscape analysis provides insights into strategies for leveraging social media platforms to increase public awareness about PCa germline testing, including use of Facebook to share video content and Twitter for discussions with health professionals.</p>
        </sec>
      </abstract>
      <kwd-group>
        <kwd>genetic testing</kwd>
        <kwd>BRCA</kwd>
        <kwd>prostate cancer</kwd>
        <kwd>breast cancer</kwd>
        <kwd>social media</kwd>
        <kwd>infodemiology</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>Genetic testing, particularly for <italic>BRCA1</italic> and <italic>BRCA2</italic>, has an increasing role in prostate cancer (PCa) management, screening, and hereditary cancer risk assessment [<xref ref-type="bibr" rid="ref1">1</xref>-<xref ref-type="bibr" rid="ref4">4</xref>]. Up to 12%-15% of metastatic disease and 5%-7% of early stage disease involve inherited genetic mutations in cancer risk genes [<xref ref-type="bibr" rid="ref5">5</xref>,<xref ref-type="bibr" rid="ref6">6</xref>]. PCa is the leading cancer diagnosed in US men, and inherited PCa impacts thousands of men [<xref ref-type="bibr" rid="ref7">7</xref>]. Furthermore, hereditary cancer has important implications for family members, informing additional cancer risks and screening measures. Importantly, recommendations for PCa genetic testing have significantly expanded to include a large subset of men with or at risk for PCa [<xref ref-type="bibr" rid="ref1">1</xref>,<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>]. For men with metastatic, castration-resistant PCa who carry <italic>BRCA</italic> mutations, the FDA has approved 2 poly-ADP ribose polymerase (PARP) inhibitors as targeted therapy after progression on standard therapy [<xref ref-type="bibr" rid="ref8">8</xref>-<xref ref-type="bibr" rid="ref10">10</xref>]. <italic>BRCA</italic> mutation status is also included in guidelines for PCa screening [<xref ref-type="bibr" rid="ref4">4</xref>], and men with <italic>BRCA2</italic> mutations have more reclassification during active surveillance for favorable-risk disease [<xref ref-type="bibr" rid="ref11">11</xref>].</p>
      <p>Despite the importance of genetic factors in PCa management and hereditary cancer risk, the extent of public awareness is unclear. Previous studies have shown that public awareness and social media discourse are substantially greater for breast cancer compared with PCa [<xref ref-type="bibr" rid="ref12">12</xref>,<xref ref-type="bibr" rid="ref13">13</xref>]; however, these studies did not investigate discussions about genetics. Breast cancer is the leading cancer diagnosis among US women [<xref ref-type="bibr" rid="ref7">7</xref>], and is a useful comparator for PCa because both can be inherited, and genetic mutations in <italic>BRCA1/2</italic> also affect screening and treatment recommendations in breast cancer [<xref ref-type="bibr" rid="ref4">4</xref>,<xref ref-type="bibr" rid="ref14">14</xref>].</p>
      <p>As much as 3 in 4 US adults use 1 or more social media sites [<xref ref-type="bibr" rid="ref15">15</xref>]. People increasingly use social media to look for health information, share their experiences, and communicate with others, which ultimately impacts their health beliefs and behaviors [<xref ref-type="bibr" rid="ref16">16</xref>-<xref ref-type="bibr" rid="ref18">18</xref>]. Social media provides unique insights into how people talk about, behave, and look for an array of health topics. These data have been used to inform prevention programming and messaging, and to scale-up prevention efforts and increase reach [<xref ref-type="bibr" rid="ref19">19</xref>,<xref ref-type="bibr" rid="ref20">20</xref>].</p>
      <p>This topic is important, as recent data suggest that germline testing is underutilized in PCa [<xref ref-type="bibr" rid="ref21">21</xref>], and that participating in social networks influences clinical decision making and health behaviors among patients with PCa [<xref ref-type="bibr" rid="ref22">22</xref>]. From prevention, to treatment, to survivorship, social media provides an important space for communities and the general public to learn and share information about cancer and cancer prevention [<xref ref-type="bibr" rid="ref20">20</xref>,<xref ref-type="bibr" rid="ref23">23</xref>-<xref ref-type="bibr" rid="ref25">25</xref>].</p>
      <p>Our objective was to examine the current social media landscape regarding <italic>BRCA</italic> and genetic testing in PCa relative to breast cancer to provide insights into public awareness and inform strategies to enhance dissemination.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <p>We characterized activity and engagement across multiple social media platforms (Twitter, Facebook, and YouTube) regarding <italic>BRCA</italic> and #genetictesting for PCa compared with breast cancer.</p>
      <sec>
        <title>Twitter</title>
        <p>The Symplur Signals platform was used to examine analytics for all tweets between 2016 and 2020 with the hashtags (1) #BRCA AND #breastcancer, (2) #BRCA AND #prostatecancer, (3) #genetictesting AND #breastcancer, and (4) #genetictesting AND #prostatecancer. We calculated the total number of tweets, users, and impressions (ie, potential accounts reached).</p>
        <p>To further characterize the content and contributors, in June 2019, we exported all unique 2018 tweets for each hashtag and manually coded all PCa tweets due to the smaller sample size, a random 10% sample about #breastcancer #BRCA, and a random 50% sample about #breastcancer #genetictesting. A codebook was created through team consensus, based on our previous work [<xref ref-type="bibr" rid="ref26">26</xref>]. Perceived race/ethnicity was coded by team consensus, as in prior studies [<xref ref-type="bibr" rid="ref27">27</xref>]. Misinformation was assessed in comparison to guidelines and published literature [<xref ref-type="bibr" rid="ref28">28</xref>]. The codebook was tested in a random sample with checks to verify intercoder variability and refined by the study team. Disagreements about codes were resolved by consensus.</p>
      </sec>
      <sec>
        <title>Facebook</title>
        <p>From March to April 2020, we searched Facebook using the same 4 terms. To mitigate bias associated with Facebook’s user-centric search function, we cleared and unlinked prior account information [<xref ref-type="bibr" rid="ref29">29</xref>]. The first 40 results for each term were examined. The Facebook search included the categories “Groups,” “Pages,” and “Videos.” We excluded duplicates and unrelated results.</p>
        <p>We examined public metadata for Facebook groups, pages, and videos. For groups, we examined average number of members, average number of new posts and members within 30 days, and public versus private. For pages, we examined average followers, like counts, and date of page creation. For groups and pages, we analyzed their primary focus based on the provided descriptions, including awareness, support, treatment, research, and news (not mutually exclusive). For public Facebook videos, we counted average views, likes, and comments at the time of collection.</p>
      </sec>
      <sec>
        <title>YouTube</title>
        <p>From March to April 2020, we searched YouTube using the same 4 terms as above after clearing account history, and examined the first 40 results for each. We excluded duplicates and unrelated results. We counted average views, likes, and comments at the time of collection. We standardized likes per video, views, and engagement rates.</p>
      </sec>
      <sec>
        <title>Statistical Analysis</title>
        <p>Both PCa search terms were combined and compared with breast cancer terms. Summary statistics and 95% confidence intervals were calculated using SAS (SAS Institute) and Stata/IC 16 (StataCorp).</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <sec>
        <title>Twitter</title>
        <p>From 2016 to 2020, in PCa and breast cancer there were 1008 and 10,005 tweets about <italic>BRCA</italic>, and 328 and 1748 tweets about genetic testing, respectively (see <xref rid="figure1" ref-type="fig">Figure 1</xref> for trend over time). Users and reach were also substantially higher for <italic>BRCA</italic> and genetic testing in breast cancer relative to PCa throughout 5-year period.</p>
        <p>Coding of a subset of Tweets is shown in <xref ref-type="supplementary-material" rid="app1">Multimedia Appendix 1</xref>. The most common type of post was sharing an article link. Sentiment was mostly neutral. Misinformation was rare. Gender was mentioned more often than race. For tweets about <italic>BRCA</italic>, the most common tweeters were foundations/advocacy groups followed by health professionals, whereas for tweets about genetic testing, foundations/advocacy groups and commercial entities were the most common. Among individual Twitter contributors, most were perceived as White and female for all topics except PCa genetic testing for which the largest number of users were perceived as White males.</p>
        <fig id="figure1" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Comparison of Tweets, Contributors, and Impressions/Reach for BRCA and Genetic Testing in Breast Cancer versus Prostate Cancer (2016-2020).</p>
          </caption>
          <graphic xlink:href="cancer_v7i3e27063_fig1.png" alt-version="no" mimetype="image" position="float" xlink:type="simple"/>
        </fig>
      </sec>
      <sec>
        <title>Facebook Groups and Pages</title>
        <p><xref ref-type="table" rid="table1">Table 1</xref> shows results for 73 Facebook groups and 80 Facebook pages. PCa groups had fewer average members than breast cancer groups. This was consistent with other variables including average number of posts and members in the past 30 days. For Facebook pages, breast cancer pages had higher followers and likes than PCa. Among PCa and breast cancer groups and pages, most focused on awareness, support, and treatment (<xref ref-type="supplementary-material" rid="app2">Multimedia Appendix 2</xref>).</p>
        <table-wrap position="float" id="table1">
          <label>Table 1</label>
          <caption>
            <p>Analysis of Facebook groups and pages comparing prostate and breast cancer in March 2020 (n=153).</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="30"/>
            <col width="370"/>
            <col width="300"/>
            <col width="300"/>
            <thead>
              <tr valign="bottom">
                <td colspan="2">Facebook feature</td>
                <td>Prostate cancer <italic>BRCA</italic>/genetic testing<sup>a</sup></td>
                <td>Breast cancer <italic>BRCA</italic>/genetic testing<sup>a</sup></td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td colspan="2">
                  <bold>Groups (n=73)</bold>
                </td>
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Total posts</td>
                <td>35</td>
                <td>38</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Average members (range)</td>
                <td>1744 (36-13,767)</td>
                <td>4203 (58-16,863)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Average posts in the past 30 days (range)</td>
                <td>198 (0-2816)</td>
                <td>451 (3-2777)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Average new members in the past 30 days (range)</td>
                <td>61 (0-527)</td>
                <td>117 (0-992)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Public, n/N (%)</td>
                <td>5/35 (14)</td>
                <td>6/38 (16)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Created range</td>
                <td>2006-2019</td>
                <td>2007-2019</td>
              </tr>
              <tr valign="top">
                <td colspan="2">
                  <bold>Pages (n=80)</bold>
                </td>
                <td>
                  <break/>
                </td>
                <td>
                  <break/>
                </td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Total posts</td>
                <td>40</td>
                <td>40</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Average followers (range)</td>
                <td>17,215 (13-225,550)</td>
                <td>151,858 (6-5,079,917)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Average likes (range)</td>
                <td>17,422 (13-231,855)</td>
                <td>174,785 (6-5,989,522)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Created range</td>
                <td>2008-2019</td>
                <td>2007-2019</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table1fn1">
              <p><sup>a</sup>First 40 search results included from each category; Facebook groups/pages within categories are mutually exclusive.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
      <sec>
        <title>Facebook and YouTube Videos</title>
        <p>Among 230 videos analyzed (<xref ref-type="table" rid="table2">Table 2</xref>), Facebook videos exhibited higher view counts and more comments. Average likes per view for PCa videos on Facebook were similar to that of YouTube, while breast cancer had more likes per view on Facebook than YouTube. Engagement rate for PCa was slightly higher on YouTube, whereas for breast cancer it was higher on Facebook.</p>
        <table-wrap position="float" id="table2">
          <label>Table 2</label>
          <caption>
            <p>Comparing Facebook and YouTube video characteristics by means and 95% confidence intervals, March-April 2020.</p>
          </caption>
          <table width="1000" cellpadding="5" cellspacing="0" border="1" rules="groups" frame="hsides">
            <col width="200"/>
            <col width="220"/>
            <col width="200"/>
            <col width="0"/>
            <col width="200"/>
            <col width="180"/>
            <thead>
              <tr valign="top">
                <td>Characteristics</td>
                <td colspan="3">Prostate cancer <italic>BRCA</italic>/genetic testing (n=119)</td>
                <td colspan="2">Breast cancer <italic>BRCA</italic>/genetic testing (n=111)</td>
              </tr>
              <tr valign="top">
                <td>
                  <break/>
                </td>
                <td>Facebook (n=58)</td>
                <td>YouTube (n=61)</td>
                <td colspan="2">Facebook (n=66)</td>
                <td>YouTube (n=45)</td>
              </tr>
            </thead>
            <tbody>
              <tr valign="top">
                <td>Views</td>
                <td>22,595 (4530-40,659)</td>
                <td>282 (203-360)</td>
                <td colspan="2">22,169 (4529-40,162)</td>
                <td>3,250 (1467-5033)</td>
              </tr>
              <tr valign="top">
                <td>Likes</td>
                <td>204 (42-366)</td>
                <td>3 (2-4)</td>
                <td colspan="2">227 (75-379)</td>
                <td>13 (7-19)</td>
              </tr>
              <tr valign="top">
                <td>Comments</td>
                <td>29.4 (9.9-49.0)</td>
                <td>0.2 (0.1-0.3)</td>
                <td colspan="2">17.8 (5.4-30.3)</td>
                <td>0.5 (0.2-0.8)</td>
              </tr>
              <tr valign="top">
                <td>Likes per view</td>
                <td>0.018 (0.011-0.024)</td>
                <td>0.012 (0.009-0.015)</td>
                <td colspan="2">0.026 (0.013-0.039)</td>
                <td>0.005 (0.004-0.007)</td>
              </tr>
              <tr valign="top">
                <td>Engagement rate<sup>a</sup></td>
                <td>1.90 (1.29-2.51)</td>
                <td>1.31 (0.94-1.68)</td>
                <td colspan="2">2.77 (1.47-4.07)</td>
                <td>0.58 (0.43-0.72)</td>
              </tr>
              <tr valign="top">
                <td>Video length, mm:ss</td>
                <td>6:28 (2:33-10:23)</td>
                <td>10:14 (6:42-13:47)</td>
                <td colspan="2">3:17 (2:25-4:10)</td>
                <td>7:16 (3:23-11:09)</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="table2fn1">
              <p><sup>a</sup>Engagement rate is the addition of number of likes, dislikes, and comments divided by the total number of views multiplied by 100. Videos within are mutually exclusive.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      </sec>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>Our results show substantial discussion about <italic>BRCA</italic> and genetic testing on popular social networks, although with more participation and engagement for breast cancer than PCa. This corroborates previous studies showing that PCa in general has less social media engagement [<xref ref-type="bibr" rid="ref12">12</xref>,<xref ref-type="bibr" rid="ref13">13</xref>], and raises less funding through crowdfunding than breast cancer [<xref ref-type="bibr" rid="ref30">30</xref>]. Since PCa germline testing guidelines have expanded [<xref ref-type="bibr" rid="ref3">3</xref>,<xref ref-type="bibr" rid="ref4">4</xref>], thousands of men are eligible for testing, which may inform management and hereditary cancer risk. As the majority of adults look online for health information and social media use among older adults continues to rise [<xref ref-type="bibr" rid="ref15">15</xref>,<xref ref-type="bibr" rid="ref31">31</xref>], a lack of social discourse about PCa and genetic testing may hinder men from knowing that this option is available.</p>
      <p>Our results raise concern for modest social media activity and participation, and lack of public awareness about the importance of PCa germline testing; follow-up studies are needed to determine whether this is hindering the impact of genetic advances. Future research is also warranted to draw from the greater social media experience in breast cancer, and to examine the potential for targeted social media campaigns to increase awareness and uptake of genetic evaluation for PCa.</p>
      <p>A positive finding of the study was the minimal presence of misinformation on Twitter related to genetic testing and <italic>BRCA</italic> in breast cancer or PCa. This is in stark contrast to previous studies suggesting a substantial amount of misinformation about PCa on other social networks such as YouTube [<xref ref-type="bibr" rid="ref28">28</xref>]. A possible explanation was the high proportion of tweets from health care professionals and foundations.</p>
      <p>A limitation of this study is that only a subset of social media platforms and posts including these specific hashtags/search terms was evaluated. Additionally, coding of certain variables, such as perceived gender and race/ethnicity, is inherently subjective. Strengths include the first landscape analysis of social media activity related to <italic>BRCA</italic> and genetic testing in PCa, compared with breast cancer. These data are useful to inform public awareness strategies. Although YouTube is the largest overall video-sharing network, we found that videos about genetic testing had greater reach on Facebook, suggesting that it should be used to disseminate video content to the public. In addition, we found that Twitter is a valuable resource to follow research updates about germline testing for health care professionals and other stakeholders.</p>
      <p>In conclusion, there is substantially less social media activity regarding <italic>BRCA</italic> and genetic testing in PCa relative to breast cancer. These results highlight a major need to increase public awareness and support for genetic testing for PCa to enhance the impact of the precision medicine era.</p>
    </sec>
  </body>
  <back>
    <app-group>
      <supplementary-material id="app1">
        <label>Multimedia Appendix 1</label>
        <p>Supplemental Table 1.</p>
        <media xlink:href="cancer_v7i3e27063_app1.docx" xlink:title="DOCX File , 17 KB"/>
      </supplementary-material>
      <supplementary-material id="app2">
        <label>Multimedia Appendix 2</label>
        <p>Supplemental Table 2.</p>
        <media xlink:href="cancer_v7i3e27063_app2.docx" xlink:title="DOCX File , 13 KB"/>
      </supplementary-material>
    </app-group>
    <ack>
      <p>This work was supported by the 2019 Prostate Cancer Foundation Valor Challenge Award.</p>
    </ack>
    <fn-group>
      <fn fn-type="conflict">
        <p>SL reports equity in Gilead. VNG reports speaker agreements with Janssen, Invitae, and Ambry Genetics; research funding from the Department of Defense and the Prostate Cancer Foundation; stock ownership in Novopyxis. Others have nothing to disclose.</p>
      </fn>
    </fn-group>
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