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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1199395</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2023.1199395</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Progress and prospects of targeted therapy and immunotherapy for urachal carcinoma</article-title>
<alt-title alt-title-type="left-running-head">Zheng et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphar.2023.1199395">10.3389/fphar.2023.1199395</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Zheng</surname>
<given-names>Yang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Peng</surname>
<given-names>Heling</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hu</surname>
<given-names>Xu</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1437720/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ou</surname>
<given-names>Yong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Dong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Han</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ren</surname>
<given-names>Shangqing</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1819724/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>School of Medicine</institution>, <institution>University of Electronic Science and Technology of China</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Robotic Minimally Invasive Surgery</institution>, <institution>Sichuan Academy of Medical Sciences and Sichuan Provincial People&#x2019;s Hospital</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Medical Administration Department</institution>, <institution>Sichuan Academy of Medical Sciences &#x26; Sichuan Provincial People&#x2019;s Hospital</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Urology</institution>, <institution>Institute of Urology</institution>, <institution>West China Hospital</institution>, <institution>Sichuan University</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Gastroenterology</institution>, <institution>Sichuan Academy of Medical Sciences &#x26; Sichuan Provincial People&#x2019;s Hospital</institution>, <addr-line>Chengdu</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/263241/overview">Xuelin Zhou</ext-link>, Capital Medical University, China</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1954449/overview">Kezhou Zhu</ext-link>, University of Michigan, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2283751/overview">Wei Yang</ext-link>, University of Georgia, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2078425/overview">Lei Zhang</ext-link>, University of Southern California, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2286543/overview">Yanwan Dai</ext-link>, Duke University, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1041198/overview">Jinghui Sun</ext-link>, Medical University of South Carolina, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Dong Wang, <email>wangdong19690530@163.com</email>; Han Wang, <email>girlwh@163.com</email>; Shangqing Ren, <email>rsq0516@163.com</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>
<bold>&#x2020;</bold>
</sup>
</label>
<p>These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>30</day>
<month>05</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1199395</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>04</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>17</day>
<month>05</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Zheng, Peng, Hu, Ou, Wang, Wang and Ren.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Zheng, Peng, Hu, Ou, Wang, Wang and Ren</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Introduction:</bold> Urachal carcinoma (UrC) is a rare and aggressive disease. Systematic chemotherapy shows limited efficacy in patients with advanced disease, while targeted therapy and immunotherapy may provide a reasonable alternative for specific populations. The molecular pattern of colorectal cancer (CRC) have recently been identified; this understanding has significantly influenced the clinical management of CRC in terms of molecular-targeted therapy. Although some genetic alterations have been associated with UrC, there is still no systematic overview of the molecular profile of this rare malignancy.</p>
<p>
<bold>Methods:</bold> In this review, we comprehensively discuss the molecular profile of UrC and further identify potential targets for the personalized treatment of UrC as well as immune checkpoint inhibitors that represent underlying biomarkers. A systematic literature search was carried out by searching the PubMed, EMBASE, and Web of Science databases to identify all literature related to targeted therapy and immunotherapy in urachal carcinoma from inception to February 2023.</p>
<p>
<bold>Results:</bold> A total of 28 articles were eligible, and most studies included were case report sand retrospective case series. Furthermore, 420 cases of UrC were identified to analyze the association between mutations and UrC. The most commonly mutated gene in UrC was TP53 with the prevalence of 70%, followed by KRAS mutations in 28.3%, MYC mutations in 20.3%, SMAD4 mutations in 18.2% and GNAS mutations in 18%, amongst other genes.</p>
<p>
<bold>Discussion:</bold> The molecular patterns of UrC and CRC are similar yet distinct. Notably, targeted therapy, especially EGFR-targeting therapy, might provide curative efficacy for patients with UrC by applying specific molecular markers. Additional potential biomarkers for the immunotherapy of UrC are mismatch repair (MMR) status and PD-L1 expression profile. In addition, combined regimens featuring targeted agents and immune checkpoint blockers might increase antitumor activity and exert better efficacy in UrC patients with specific mutational burden.</p>
</abstract>
<kwd-group>
<kwd>urachal carcinoma</kwd>
<kwd>immunotherapy</kwd>
<kwd>targeted therapy</kwd>
<kwd>EGFR</kwd>
<kwd>biomarker</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Pharmacology of Anti-Cancer Drugs</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>The urachus, derived from the embryonic allantois, is a connective canal between the fetal bladder and the umbilicus during prenatal life. Subsequently, the urachus eventually degenerates to form a fibromuscular cord known as the median umbilical ligament. Failure to undergo regression may allow abnormal proliferation of the urachus and may even lead to malignances. Urachal carcinoma (UrC) is considered as a rare but aggressive malignancy that accounts for &#x3c; 1% of all bladder cancers (<xref ref-type="bibr" rid="B3">Bruins et al., 2012</xref>) UrC is usually asymptomatic in the early stage and approximately half of patients require systematic chemotherapy to prolong their survival (<xref ref-type="bibr" rid="B56">Szarvas et al., 2016</xref>). Nevertheless, only a limited number of patients with advanced disease experience a response to traditional chemotherapy, and there is still no adequately powered study to confirm these benefits (<xref ref-type="bibr" rid="B33">Loizzo et al., 2022</xref>).</p>
<p>In other types of cancer, including colorectal cancer (CRC), targeted therapy has shown significant efficacy for patients with the specific expression of molecular markers (<xref ref-type="bibr" rid="B26">Joo et al., 2013</xref>). These encouraging outcomes have drawn significant interest from researchers with regards to the precise therapy of UrC. In recent years, some clinical series have investigated genomic alterations in UrC patients and gained promising findings in targeted therapy. Thus, in this review, we comprehensively discuss the molecular profile of UrC and further identify potential targets for the personalized treatment of UrC, In addition, given the clinical possibility of immune checkpoint inhibitors, we also discuss several biomarkers of immunotherapy.</p>
</sec>
<sec id="s2">
<title>2 Evidence acquisition</title>
<sec id="s2-1">
<title>2.1 Search strategy</title>
<p>A systematic literature search was carried out in by searching the PubMed, EMBASE, and Web of Science databases to identify all literature related to targeted therapy and immunotherapy in UrC from inception to February 2023. The search strings mainly include the following terms: targeted therapy, immunotherapy, biomarkers, genomic alterations, urachal cancer, urachal carcinoma, and urachal adenocarcinoma. These terms were linked by using various combinations of the Boolean operators and OR. Furthermore, we performed author and citation searches as required.</p>
</sec>
<sec id="s2-2">
<title>2.2 Inclusion criteria</title>
<p>Studies needed to be published in English. We included gene mutations associated with UrC. Both original articles and conference abstracts were included, as were studies related to the use of targeted agents in UrC.</p>
</sec>
<sec id="s2-3">
<title>2.3 Exclusion criteria</title>
<p>We excluded studies that did not feature clinical data. Studies involving chemotherapy or the surgical treatment of UrC were also excluded, as were review articles and meta-analyses.</p>
</sec>
<sec id="s2-4">
<title>2.4 Selection of relevant literature</title>
<p>The identification of eligible studies was performed based on the following two steps: initial selection by screening the title and abstract, and final inclusion after review of the full text. The detailed process used for article selection is given in <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Flowchart showing how literature was selected for analysis.</p>
</caption>
<graphic xlink:href="fphar-14-1199395-g001.tif"/>
</fig>
</sec>
</sec>
<sec id="s3">
<title>3 Evidence synthesis</title>
<sec id="s3-1">
<title>3.1 Overall results</title>
<p>In this review, a total of 28 articles were eligible. Most of the included studies were case reports and retrospective case series. The response to EGFR inhibitors, PARP inhibitors, MEK inhibitors and immune checkpoint inhibitors has already been described in eight previous reports (<xref ref-type="bibr" rid="B21">Goss et al., 2005</xref>; <xref ref-type="bibr" rid="B57">Testa et al., 2014</xref>; <xref ref-type="bibr" rid="B31">Loh et al., 2016a</xref>; <xref ref-type="bibr" rid="B10">Collazo-Lorduy et al., 2016</xref>; <xref ref-type="bibr" rid="B28">Kardos et al., 2017</xref>; <xref ref-type="bibr" rid="B50">Seto et al., 2019</xref>; <xref ref-type="bibr" rid="B63">Yonemori et al., 2021</xref>) (listed in <xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Summary of the targeted therapy or immunotherapy received by metastatic UrC patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="center">Study</th>
<th align="center">Agents</th>
<th align="center">Drug type</th>
<th align="center">Genomic alterations</th>
<th align="center">Outcome</th>
<th align="center">Adverse events</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="center">
<xref ref-type="bibr" rid="B10">Collazo-Lorduy et al. (2016)</xref>
</td>
<td align="center">Cetuximab</td>
<td align="center">An anti-EGFR monoclonal antibody</td>
<td align="center">EGFR amplification and wild-type KRAS</td>
<td align="center">A 25% decrease in tumor burden for more than eight months</td>
<td align="center">Acneiform rash</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B21">Goss et al. (2005</xref>)</td>
<td align="center">Iressa</td>
<td align="center">A selected tyrosine kinase inhibitor</td>
<td align="center">EGFR amplification</td>
<td align="center">A 55% decrease in tumor size for less than four weeks</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B31">Loh et al. (2016a</xref>)</td>
<td align="center">Trametinib</td>
<td align="center">A MEK inhibitor</td>
<td align="center">KRAS and GNAS mutation</td>
<td align="center">NA</td>
<td align="center">Pulmonary hypertension</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B31">Loh et al. (2016a</xref>)</td>
<td align="center">Trametinib</td>
<td align="center">A MEK inhibitor</td>
<td align="center">MAP2K1 mutation</td>
<td align="center">Stable disease for 10 months&#x2a;</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B57">Testa et al. (2014</xref>)</td>
<td align="center">Sunitinib</td>
<td align="center">A multi-kinase inhibitor</td>
<td align="center">Unknown</td>
<td align="center">Stable disease for five months</td>
<td align="center">Metrorrhagia--</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B50">Seto et al. (2019</xref>)</td>
<td align="center">Rucaparib</td>
<td align="center">A PARP inhibitor</td>
<td align="center">BRCA1 deletion</td>
<td align="center">Complete response for more than 19 months</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B63">Yonemori et al. (2021</xref>)</td>
<td align="center">Niraparib</td>
<td align="center">A PARP inhibitor</td>
<td align="center">Unknown</td>
<td align="center">Progressive disease&#x2a;</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B51">Shitara et al. (2020</xref>)</td>
<td align="center">Tepotinib</td>
<td align="center">A MET inhibitor</td>
<td align="center">Unknown</td>
<td align="center">Stable disease over 12 weeks&#x2a;</td>
<td align="center">NA</td>
</tr>
<tr>
<td align="center">
<xref ref-type="bibr" rid="B28">Kardos et al. (2017)</xref>
</td>
<td align="center">Atezolizumab</td>
<td align="center">An anti-PD-L1 antibody</td>
<td align="center">MSH6 mutation</td>
<td align="center">Initial disease progression followed by regression</td>
<td align="center">NA</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NA: not available.</p>
</fn>
<fn>
<p>&#x2a;Response assessed according to Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>A total of 420 UrC cases were included in this study; <italic>KRAS</italic> was the most frequently tested gene and exhibited mutations in 28.3% (91/322) of UrC cases.</p>
<p>The most commonly mutated gene in UrC was <italic>TP53</italic> with a prevalence of 70% (170/243), followed by <italic>KRAS</italic> mutations in 28.3% (91/322), <italic>MYC</italic> mutations in 20.3% (12/59), <italic>SMAD4</italic> mutations in 18.2% (18/99) and <italic>GNAS</italic> mutations in 18% (16/89). Furthermore, other gene mutations were also found to be associated with UrC, including <italic>APC</italic>, <italic>HER2</italic>, and <italic>BRCA</italic> (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Gene mutation profile of UrC.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Author (year)</th>
<th align="left">Cases, <italic>n</italic>
</th>
<th colspan="17" align="left">Patients with gene mutations <italic>n</italic> (%)</th>
</tr>
<tr>
<th align="left"/>
<th align="left"/>
<th align="left">
<italic>KRAS</italic>
</th>
<th align="left">
<italic>TP53</italic>
</th>
<th align="left">
<italic>NF1</italic>
</th>
<th align="left">
<italic>APC</italic>
</th>
<th align="left">
<italic>MSI&#x2a;&#x2a;</italic>
</th>
<th align="left">
<italic>BRAF</italic>
</th>
<th align="left">
<italic>EGFR</italic>
</th>
<th align="left">
<italic>ERBB2</italic>
</th>
<th align="left">
<italic>GNAS</italic>
</th>
<th align="left">
<italic>NRAS</italic>
</th>
<th align="left">
<italic>MYC</italic>
</th>
<th align="left">
<italic>SMAD4</italic>
</th>
<th align="left">
<italic>PIK3CA</italic>
</th>
<th align="left">
<italic>PTEN</italic>
</th>
<th align="left">
<italic>MET</italic>
</th>
<th align="left">
<italic>FGFR&#x2a;&#x2a;</italic>
</th>
<th align="left">
<italic>BRCA2</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<xref ref-type="bibr" rid="B54">Sirintrapun et al. (2014)</xref>
</td>
<td align="left">7</td>
<td align="left">3 (42.9)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">3 (42.9)</td>
<td align="left">0</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B27">Jordan et al. (2015)</xref>
</td>
<td align="left">10</td>
<td align="left">2 (20)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">0</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">0</td>
<td align="left">2 (20)</td>
<td align="left">1 (10)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B10">Collazo-Lorduy et al. (2016)</xref>
</td>
<td align="left">9</td>
<td align="left">2 (22.2)</td>
<td align="left">7 (77.8)</td>
<td align="left">0</td>
<td align="left">2 (22.2)</td>
<td align="left">&#x2013;</td>
<td align="left">0</td>
<td align="left">1 (11.1)</td>
<td align="left">0</td>
<td align="left">1 (11.1)</td>
<td align="left">1 (11.1)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">1 (11.1)</td>
<td align="left">&#x2013;</td>
<td align="left">1 (11.1)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B11">Cornejo et al. (2016)</xref>
</td>
<td align="left">16</td>
<td align="left">8 (50)</td>
<td align="left">7 (43.8)</td>
<td align="left">&#x2013;</td>
<td align="left">0</td>
<td align="left">&#x2013;</td>
<td align="left">1 (6.3)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">4 (25)</td>
<td align="left">1 (6.3)</td>
<td align="left">&#x2013;</td>
<td align="left">3 (18.8)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B29">Lee et al. (2016)</xref>
</td>
<td align="left">10</td>
<td align="left">2 (20)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">0</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">0</td>
<td align="left">2 (20)</td>
<td align="left">1 (10)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B32">Loh et al. (2016b)</xref>
</td>
<td align="left">2</td>
<td align="left">1 (50)</td>
<td align="left">2 (100)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">1 (50)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B39">Modos et al. (2016)</xref>
</td>
<td align="left">22</td>
<td align="left">6 (27.3)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">4 (18.2)</td>
<td align="left">0</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">1 (4.5)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">0</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B52">Singh et al. (2016)</xref>
</td>
<td align="left">7</td>
<td align="left">2 (28.6)</td>
<td align="left">4 (57.1)</td>
<td align="left">3 (42.9)</td>
<td align="left">3 (42.9)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">2 (28.6)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B22">Hang and Pan (2017)</xref>
</td>
<td align="left">12</td>
<td align="left">5 (41.7)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">0</td>
<td align="left">0</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B28">Kardos et al. (2017)</xref>
</td>
<td align="left">12</td>
<td align="left">&#x2013;</td>
<td align="left">12 (100)</td>
<td align="left">3 (25)</td>
<td align="left">3 (25)</td>
<td align="left">7 (58.3)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B30">Lee et al. (2017)</xref>
</td>
<td align="left">17</td>
<td align="left">2 (11.8)</td>
<td align="left">6 (35.3)</td>
<td align="left">&#x2013;</td>
<td align="left">3 (17.6)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">4 (23.5)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B38">Modos et al. (2017)</xref>
</td>
<td align="left">31</td>
<td align="left">8 (25.8)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">5 (16.1)</td>
<td align="left">0</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">1 (32.3)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">0</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B17">Dumbrava et al. (2018)</xref>
</td>
<td align="left">7</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">2 (28.6)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B45">Pires-Lu&#xed;s et al. (2018)</xref>
</td>
<td align="left">8</td>
<td align="left">&#x2013;</td>
<td align="left">6 (75)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">3 (37.5)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B46">Reis et al. (2018)</xref>
</td>
<td align="left">70</td>
<td align="left">14 (21)</td>
<td align="left">46 (66)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">1 (1.8)</td>
<td align="left">2 (4)</td>
<td align="left"/>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">1 (1)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">2 (4)</td>
<td align="left"/>
<td align="left">1 (1)</td>
<td align="left">1 (1)</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B42">Nagy et al. (2019)</xref>
</td>
<td align="left">26</td>
<td align="left">8 (30.8)</td>
<td align="left">19 (73.1)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">3 (12)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">6 (23.1)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">3 (12)</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B47">Riva et al. (2019)</xref>
</td>
<td align="left">7</td>
<td align="left">3 (42.9)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">2 (28.6)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">1 (14.3)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">1 (14.3)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B37">Maurer et al. (2020)</xref>
</td>
<td align="left">13</td>
<td align="left">5 (38.5)</td>
<td align="left">10 (76.9)</td>
<td align="left">&#x2013;</td>
<td align="left">3 (23.1)</td>
<td align="left">2 (15.4)</td>
<td align="left">0</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">0</td>
<td align="left">&#x2013;</td>
<td align="left">3 (23.1)</td>
<td align="left">3 (23.1)</td>
<td align="left">2 (15.4)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B43">Nagy et al. (2020)</xref>
</td>
<td align="left">34</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">5 (15)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">2 (6)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B65">Zaleski et al. (2022)</xref>
</td>
<td align="left">30</td>
<td align="left">9 (30)</td>
<td align="left">25 (83.3)</td>
<td align="left">2 (66.7)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">8 (26.7)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">7 (23.3)</td>
<td align="left">3 (10)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B67">Zhang et al. (2022)</xref>
</td>
<td align="left">37</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">3 (8.1)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
</tr>
<tr>
<td align="left">
<xref ref-type="bibr" rid="B61">Varadi et al. (2023)</xref>
</td>
<td align="left">33</td>
<td align="left">11 (33.3)</td>
<td align="left">26 (78.8)</td>
<td align="left">2 (6.1)</td>
<td align="left">-</td>
<td align="left">2 (6.1)</td>
<td align="left">&#x2013;</td>
<td align="left">3 (9.1)</td>
<td align="left">3 (9.1)</td>
<td align="left">&#x2013;</td>
<td align="left">&#x2013;</td>
<td align="left">6 (18.2)</td>
<td align="left">3 (9.1)</td>
<td align="left">2 (6.1)</td>
<td align="left">3 (9.1)</td>
<td align="left">4 (12.2)</td>
<td align="left">5 (15.2)</td>
<td align="left">4 (12.2)</td>
</tr>
<tr>
<td align="left">Sum</td>
<td align="left">420</td>
<td align="left">91 (28.3)</td>
<td align="left">170 (70)</td>
<td align="left">10 (11)</td>
<td align="left">21 (15.6)</td>
<td align="left">21 (10)</td>
<td align="left">12 (6.7)</td>
<td align="left">8 (6.1)</td>
<td align="left">9 (13)</td>
<td align="left">16 (18)</td>
<td align="left">6 (3.3)</td>
<td align="left">12 (20.3)</td>
<td align="left">18 (18.2)</td>
<td align="left">12 (5.6)</td>
<td align="left">10 (11.4)</td>
<td align="left">6 (5.4)</td>
<td align="left">9 (7)</td>
<td align="left">4 (12.1)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x2a;Including <italic>MLH1</italic>, <italic>PMS2</italic>, <italic>MSH2</italic> and MSH6. &#x2a;&#x2a;Including <italic>FGFR1</italic>, <italic>FGFR2</italic> and <italic>FGFR4</italic>.-: not reported.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3-1-1">
<title>3.1.1 Meta-analytic synthetic occurrence of gene alterations</title>
<p>The pooled prevalence estimates for several specific gene mutations are presented in <xref ref-type="fig" rid="F2">Figure 2</xref>. Both Begg&#x2019;s test and Egger&#x2019;s test were used to analyze the publication bias of articles included in this meta-analysis. These tests demonstrated that there was no publication bias. In addition, sensitivity analyses were conducted to evaluate the robustness of the results; this analysis found that no single study affected our results (<xref ref-type="sec" rid="s11">Supplementary Figure S1</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Meta-analysis of the prevalence of <bold>(A)</bold> <italic>KRAS</italic> mutations, <bold>(B)</bold> <italic>APC</italic> mutations, and <bold>(C)</bold> <italic>EGFR</italic> mutations.</p>
</caption>
<graphic xlink:href="fphar-14-1199395-g002.tif"/>
</fig>
</sec>
</sec>
<sec id="s3-2">
<title>3.2 Targeted therapy</title>
<p>In the era of precision-medicine and given the limited efficacy of chemotherapy for UrC, there is an urgent need to develop molecular targeted therapy for this aggressive form of malignancy. In recent years, studies have identified recurrent gene mutations in UrC, including <italic>EGFR</italic>, <italic>HER2</italic>, and <italic>BRCA</italic> gene mutations, and various target agents against these aberrations have achieved promising efficacy in many types of cancers. Thus, patients with UrC who harbor specific alterations in genes such as <italic>EGFR</italic>, <italic>HER2</italic> and <italic>BRCA</italic> might benefit from targeted therapy.</p>
<sec id="s3-2-1">
<title>3.2.1 EGFR targeted therapy</title>
<sec id="s3-2-1-1">
<title>3.2.1.1 <italic>EGFR</italic> gene mutations</title>
<p>EGFR (epidermal growth factor receptor), a member of the ERBB/HER protein family, features intracellular, transmembrane, and signal-transduction domains with tyrosine kinase. The activated EGFR protein stimulates a series of downstream pathways, including the RAS/RAF/MAPK pathway and the PI3K/AKT/mTOR pathway which mainly promote cell proliferation and restrict apoptosis. However, functional <italic>EGFR</italic> mutations or overexpression of the EGFR protein will result in excessive cell proliferation which will eventually induce malignant transformation.</p>
<p>
<xref ref-type="bibr" rid="B30">Lee et al. (2017)</xref> reported EGFR amplification in 23.5% of patients (4/17) by detecting somatic copy number aberrations. More recently, <xref ref-type="bibr" rid="B61">Varadi et al. (2023)</xref> described <italic>EGFR</italic> mutations in 9.1% (3/33) of UrC cases by applying next-generation sequencing. These authors detected two samples with amplification and one sample with a missense mutation. Both missense mutations and amplification can result in a functional EGFR protein. However, other studies failed to identify <italic>EGFR</italic> mutations in patients with UrC (<xref ref-type="bibr" rid="B27">Jordan et al., 2015</xref>; <xref ref-type="bibr" rid="B29">Lee et al., 2016</xref>; <xref ref-type="bibr" rid="B39">Modos et al., 2016</xref>; <xref ref-type="bibr" rid="B38">Modos et al., 2017</xref>). Statistical analysis has shown that the estimated occurrence of <italic>EGFR</italic> mutations was 14.1%&#x2013;38.4% in patients with non-small cell lung cancer (<xref ref-type="bibr" rid="B68">Zhang et al., 2016</xref>). In contrast, <italic>EGFR</italic> aberrations only presented in 6.1% (8/132) of UrC cases while the meta-analytic pooled occurrence of <italic>EGFR</italic> mutations was 14% (95% CI: 10%&#x2013;20%).</p>
<p>Thus far, two distinct therapeutic strategies have been developed to resist the pathogenic effects of mutation-activated EGFR signaling, including tyrosine kinase inhibitors (TKIs) and monoclonal antibodies. Furthermore, numerous EGFR targeted agents have been developed and approved for various types of cancers (<xref ref-type="bibr" rid="B1">Abourehab et al., 2021</xref>). Although no anti-EGFR antibodies and TKIs have been approved for the treatment of advanced UrC, some studies have attempted to explore the potential benefits of this novel treatment for UrC. In a recent study, one patient with metastatic disease who harbored <italic>EGFR</italic> amplification and wild-type <italic>KRAS</italic> exhibited a partial response for more than 8&#xa0;months after receiving treatment with cetuximab, an anti-EGFR monoclonal antibody (<xref ref-type="bibr" rid="B10">Collazo-Lorduy et al., 2016</xref>). A previous phase I study evaluated the efficacy of the EGFR-TK inhibitor Iressa for various advanced tumors, including one UrC patient featuring the overexpression of EGFR; this case showed a significant reduction in tumor size by 55% following Iressa treatment (<xref ref-type="bibr" rid="B21">Goss et al., 2005</xref>). In addition, a patient with recurrent UrC achieved stable disease and improvement of symptoms for 5&#xa0;months after receiving sunitinib, a tyrosine kinase inhibitor (<xref ref-type="bibr" rid="B57">Testa et al., 2014</xref>).</p>
<p>These promising data demonstrate that anti-EGFR-TKI therapy might also be effective for UrC. However, numerous mutations of these downstream pathways, including <italic>KRAS</italic>, <italic>BRAF</italic>, <italic>PIK3CA</italic>, <italic>PTEN</italic>, and <italic>MET</italic> gene mutations could increase resistance against anti-EGFR treatment (<xref ref-type="bibr" rid="B15">Dietel et al., 2015</xref>). Therefore, we hypothesized that the identification of actionable gene alterations in these downstream pathways is warranted before adopting EGFR targeted treatment for UrC (<xref ref-type="bibr" rid="B62">Wang et al., 2010</xref>; <xref ref-type="bibr" rid="B15">Dietel et al., 2015</xref>).</p>
</sec>
<sec id="s3-2-1-2">
<title>3.2.1.2 Mutations of the <italic>RAS</italic> gene</title>
<p>RAS proteins, a small family of GTPase binding GTP/GDP proteins, regulate normal growth, proliferation, and differentiation in normal cells. KRAS (Kirsten rat sarcoma viral oncogene homolog), NRAS (neuroblastoma rat sarcoma viral oncogene homolog) and HRAS (Harvey rat sarcoma viral oncogene homolog) proteins are all encoded by the <italic>RAS</italic> gene family. When RAS aberrations occur, the RAS signaling pathway remains continuously activated without upstream stimulation of the EGFR receptor, thus resulting in abnormal cell growth, proliferation, and differentiation; this eventually results in malignant transformation. <italic>KRAS</italic> mutation is the most frequently altered form of the three <italic>RAS</italic> genes, accounting for 86% of RAS mutant cancer cases. <xref ref-type="bibr" rid="B29">Lee et al. (2016)</xref> reported <italic>KRAS</italic> mutations in 2 out of 17 patients based on whole exome sequencing and application of the Onco Scan platform while <xref ref-type="bibr" rid="B11">Cornejo et al. (2016)</xref> used the next-generation sequencing approach and identified <italic>KRAS</italic> mutations in 50% (8/16) of UrC samples; one case featured a mutation of the <italic>NRAS</italic> gene. More recently, <xref ref-type="bibr" rid="B46">Reis et al. (2018)</xref> performed targeted next-generation sequencing of 70 urachal adenocarcinomas and showed that 14 out of 70 samples (21%) had <italic>KRAS</italic> missense mutations. In addition, <xref ref-type="bibr" rid="B43">Nagy et al. (2020)</xref> reported <italic>KRAS</italic> mutations in 8 out of 26 (35%) samples by using the ionTorrent technology.</p>
<p>In the present analyses of UrC patients, we identified the presence of <italic>KRAS</italic> mutations in 28.3% of cases; in a previous study, <italic>KRAS</italic> missense mutations were found in 40% of CRC cases (<xref ref-type="bibr" rid="B51">Shitara et al., 2020</xref>); in addition, the meta-analytic pooled occurrence of <italic>KRAS</italic> mutations was 39% (95% confidence interval [CI]: 35%&#x2013;50%). <xref ref-type="bibr" rid="B54">Sirintrapun et al. (2014)</xref> reported <italic>KRAS</italic> mutations in codon 12 (p.G12D, p. G12C, p. G12S, and pG12V) in some cases of UrC while <xref ref-type="bibr" rid="B39">Modos et al. (2016)</xref> reported that 6 out of 22 (27%) cases presented with <italic>KRAS</italic> alterations; 3 out of 6 <italic>KRAS</italic> mutations occurred in codons 61 and 146. In addition, Collazo et al. (<xref ref-type="bibr" rid="B10">Collazo-Lorduy et al., 2016</xref>) used a targeted exome sequencing approach and reported <italic>KRAS</italic> mutation at G13D and G12v in 9 UrC samples. <xref ref-type="bibr" rid="B52">Singh et al. (2016)</xref> also identified a G13D <italic>KRAS</italic> mutation in one patient with UrC. In another study, Cha et al. (<xref ref-type="bibr" rid="B13">Dienstmann et al., 2020</xref>) performed whole exome sequencing in adolescent and young adults with metastatic cancers; one UrC patient was identified to possess a G13D <italic>KRAS</italic> mutation. Using Sanger sequencing, Hang et al. (<xref ref-type="bibr" rid="B22">Hang and Pan, 2017</xref>) identified <italic>KRAS</italic> mutations in 5 out of 12 cases (p.G12V, 2 cases:p.G13D, 2 cases; p.G12R, 1 case).</p>
<p>Notably, in CRC, the most common <italic>KRAS</italic> mutation is a somatic missense mutation in codon 12 which leads to a single amino acid substitution (<xref ref-type="bibr" rid="B70">Zhu et al., 2021</xref>). In this review, we identified a missense mutation in codon 12 (<xref ref-type="bibr" rid="B54">Sirintrapun et al., 2014</xref>; <xref ref-type="bibr" rid="B32">Loh et al., 2016b</xref>; <xref ref-type="bibr" rid="B10">Collazo-Lorduy et al., 2016</xref>; <xref ref-type="bibr" rid="B39">Modos et al., 2016</xref>; <xref ref-type="bibr" rid="B22">Hang and Pan, 2017</xref>; <xref ref-type="bibr" rid="B47">Riva et al., 2019</xref>; <xref ref-type="bibr" rid="B61">Varadi et al., 2023</xref>) and codon 13 (<xref ref-type="bibr" rid="B10">Collazo-Lorduy et al., 2016</xref>; <xref ref-type="bibr" rid="B52">Singh et al., 2016</xref>; <xref ref-type="bibr" rid="B22">Hang and Pan, 2017</xref>; <xref ref-type="bibr" rid="B13">Dienstmann et al., 2020</xref>) in 23% (23/100) and 5% of UrC samples, while <italic>KRAS</italic> missense mutations in codon 61 (<xref ref-type="bibr" rid="B39">Modos et al., 2016</xref>; <xref ref-type="bibr" rid="B47">Riva et al., 2019</xref>) and codon 146 (<xref ref-type="bibr" rid="B39">Modos et al., 2016</xref>) were present in 2% and 2% of cases, respectively. Collectively, these data revealed that the most common mutation of the <italic>KRAS</italic> gene was the missense mutation in codon 12; this is similar to the <italic>KRAS</italic> mutational pattern in CRC (<xref ref-type="bibr" rid="B8">Cha et al., 2016</xref>).</p>
<p>Activated <italic>RAS</italic> mutations interrupt upstream transduction signals; this might result in a poor response to anti-EGFR therapy or double HER2 blockade in patients with <italic>EGFR</italic> or <italic>ERBB2</italic> amplifications (<xref ref-type="bibr" rid="B6">Cancer Genome Atlas Network, 2012</xref>; <xref ref-type="bibr" rid="B53">Siravegna et al., 2019</xref>). Given the similarity in <italic>KRAS</italic> mutational patterns between CRC and UrC, it is possible that the <italic>KRAS</italic> mutational status might also restrict targeted treatment options for this rare tumor.</p>
<p>Although no previous study has reported the application of KRAS inhibitors for patients with UrC, several agents targeting mutant RAS protein are available and deserve our attention. Sotorasib and adagrasib, specific and irreversible KRAS (G12C) protein inhibitors, have shown modest anti-tumor effects and tolerable toxicity in the treatment of advanced solid tumors with KRAS (G12C) mutation, including colorectal cancer (<xref ref-type="bibr" rid="B14">Dienstmann and Tabernero, 2016</xref>), lung cancer (<xref ref-type="bibr" rid="B19">Fakih et al., 2022</xref>), and pancreatic cancer (<xref ref-type="bibr" rid="B49">Sabari et al., 2022</xref>). A combination of these two agents with other targeted agents is under evaluation to increase potential efficacy and reduce potential drug resistance (NCT05074810, NCT04185883, and NCT03785249). In addition, several clinical trials of BI-1701963, a non-specific inhibitor of KRAS for KRAS-mutant tumors are ongoing; these trials might provide new insights for the treatment of UrC patients with KRAS mutation.</p>
</sec>
<sec id="s3-2-1-3">
<title>3.2.1.3 Mutations of the <italic>BRAF</italic> gene</title>
<p>The <italic>BRAF</italic> proto-oncogene, a member of the <italic>RAF</italic> gene family, acts as a significant mediator in the RAS/RAF/MAPK pathway in which the BRAF protein mediates signal transduction between RAS and MAPK kinase (MAPKK/MEK1/2). Alterations in the <italic>BRAF</italic> gene result in the continuous activation of downstream pathways without upstream signals and therefore promotes cell proliferation and malignant transformation.</p>
<p>Statistical analysis has demonstrated that 30%&#x2013;60% of melanoma cases harbor <italic>BRAF</italic> mutations; however, in our present study, only 6.7% (12/180) of UrC patients possessed <italic>BRAF</italic> mutations. In accordance with <italic>RAS</italic> mutation, many studies have shown that patients possessing <italic>BRAF</italic> mutations also exhibit drug resistance to cetuximab or panitumumab (anti-EGFR monoclonal antibodies) in CRC, thus suggesting the potential role of these drugs in anti-EGFR therapy for patients with UrC. Although <italic>BRAF</italic>-targeted agents such as vemurafenib, dabrafenib, and encorafenib, have been approved for the management of melanoma, the efficacy of BRAF inhibitors for UrC remains unclear. In our study, only four studies reported <italic>MAP2K1</italic> mutations in of 8.6% of 58 UrC cases, Notably, single-agent therapy involving trametinib, a <italic>MEK</italic> inhibitor, resulted in stable disease for 10&#xa0;months in one patient with metastatic UrC and <italic>MAP2K1</italic> mutation (<xref ref-type="bibr" rid="B31">Loh et al., 2016a</xref>). This encouraging finding demonstrated that patients bearing mutations in the <italic>MAPK</italic> pathway particularly <italic>MAP2K1</italic> mutations) might acquire potential efficacy from <italic>MEK</italic> inhibitors. More clinical investigations are needed to validate the efficacy of <italic>MEK</italic> inhibitor for specific UrC patients.</p>
</sec>
<sec id="s3-2-1-4">
<title>3.2.1.4 Mutations of the <italic>PIK3CA gene</italic>
</title>
<p>The phosphoinositide 3-kinase (PI3K) pathway is one of the downstream pathways of the ERBB/HER protein family and is activated by various oncogenes and growth factor receptors [such as EGFR and human EGFR 2 (HER2)]. Furthermore, aberrantly activated PI3K signaling activity is considered as one of the characteristics of tumorigenesis. PI3CA encodes p11oalpha, a catalytic subunit of PI3K that regulates the PI3K/AKT/mTOR pathway and promotes cell survival and proliferation. PIK3CA abnormalities could result in the abnormal activation of the PI3K pathway.</p>
<p>In the present analyses, we found that the prevalence of <italic>PIK3CA</italic> mutations in UrC was 5.6% (12/215). Notably, activating <italic>PIK3CA</italic> alterations was related to a negative response to anti-EGFR-TKI therapy in CRC (<xref ref-type="bibr" rid="B12">Day et al., 2013</xref>; <xref ref-type="bibr" rid="B55">Strickler et al., 2023</xref>), thus suggesting that the status of <italic>PIK3CA</italic> genotype may be an important factor when selecting the choice of anti-EGFR therapy for patients with UrC.</p>
<p>Generally, the <italic>PI3K/AKT/mTOR</italic> pathway has two major targets: PI3K and mTOR. At present, several <italic>PI3K</italic> inhibitors such as idelalisib, duvelisib, and copanlisib, have been successfully marketed for the treatment of <italic>PIK3CA</italic>-mutant head and neck tumors, breast cancer or lymphoma. <italic>mTOR</italic> inhibitors, such as everolimus, are mainly used to treat advanced renal cell carcinoma. Indeed, there are no previous publications relating to the treatment of UrC with <italic>mTOR</italic> inhibitors or <italic>PI3K</italic> inhibitors.</p>
</sec>
</sec>
<sec id="s3-2-2">
<title>3.2.2 PARP-targeted therapy</title>
<sec id="s3-2-2-1">
<title>3.2.2.1 Mutations of the <italic>BRCA</italic> gene</title>
<p>Breast cancer susceptibility gene 1/2 (BRCA1/2), a tumor suppressor gene, participates in the homologous recombination repair process, and may help to safeguard genomic integrity via precise DNA repair. Furthermore, the inactivation of <italic>BRCA1/2</italic> genes has been observed in many forms of cancer, particularly in breast and ovarian cancer. Due to the synthetic lethality of poly (ADP-ribose) polymerase (PARP) inhibition in the presence of <italic>BRCA1/2</italic> mutations, tumor cells that possess BRCA1 and BRCA2-deficiency are exquisitely sensitive to treatment with PARP inhibitors (<xref ref-type="bibr" rid="B7">Cathomas, 2014</xref>). Furthermore, PARP inhibitors have recently gained FDA approval for patients with metastatic breast cancer and germline <italic>BRCA</italic> mutation (<xref ref-type="bibr" rid="B5">Bryant et al., 2005</xref>).</p>
<p>In this review, we found that only one study detected BRCA abnormalities in UrC patients with a prevalence of 12.1% (4/33). Notably, some institutions have investigated the efficacy of agents targeted to the <italic>BRCA</italic> gene. <xref ref-type="bibr" rid="B50">Seto et al. (2019)</xref> reported the successful use of rucaparib, a PARP inhibitor, in a patient with metastatic UrC who possessed a germline <italic>BRCA1</italic> mutation, thus suggesting that patients with <italic>BRCA</italic> mutations might be candidates for the use of PARP inhibitors. In a phase I dose escalation study, a UrC patient receiving niraparib was reported to experience disease progression during therapy; however, the <italic>BRCA</italic> status of patients with UrC was not clarified (<xref ref-type="bibr" rid="B63">Yonemori et al., 2021</xref>). Collectively, these data indicated that PARP inhibitors could represent a therapeutic option for UrC patients possessing BRCA deficiency.</p>
</sec>
</sec>
<sec id="s3-2-3">
<title>3.2.3 Mutations of the <italic>TP53, PTEN</italic> and <italic>MET</italic> genes</title>
<p>TP53, a widely studied tumor suppressor gene, encodes P53 protein in humans, which serves as an inhibitor of oncogenes in tumors and normal cells. Abnormal inactivation of the <italic>TP53</italic> gene could result in abnormal cell proliferation and could therefore lead to the development of tumors. <italic>TP53</italic> mutations can be found in more than half of all human cancers (<xref ref-type="bibr" rid="B48">Robson et al., 2017</xref>). In the present analyses, we found that <italic>TP53</italic> was the most frequently altered gene in UrC with a prevalence of 70% (170/243). As with other malignancies, the most common <italic>p53</italic> mutation in UrC patients is the missense mutation, accounting for 69.8% (60/86) of all p53 mutations. Recently, researchers have designed numerous strategies targeting <italic>p53</italic> mutations and developed corresponding targeting agents. In light of the <italic>p53</italic> status, <italic>p53</italic>-targeted treatment mainly include protecting normal wild-type <italic>p53</italic> functionality [e.g., mouse double minute 2 (MDM2) inhibitors], reactivating the wild-type functionality of mutant <italic>p53</italic> (e.g., mutant p53 reactivators), and eradicating mutant <italic>p53</italic> [e.g., histone deacetylase inhibitors, heat shock protein 90 (Hsp90) inhibitors] (<xref ref-type="bibr" rid="B44">Olivier et al., 2010</xref>). Nevertheless, most of these drugs are still being tested in early phase clinical trials, and no <italic>p53</italic>-targeted drugs have been successfully marketed thus far (<xref ref-type="bibr" rid="B25">Hu et al., 2021</xref>); furthermore, no previous study has reported the application of <italic>p53</italic>-targeted therapy for patients with UrC.</p>
<p>Phosphatase and tensin homolog (<italic>PTEN</italic>), a tumor-suppressor gene, acts as a negative mediator in the PI3K signaling pathway and can dephosphorylate PIP3 or PIP2 and prohibit the activation of PI3K and therefore interrupt this pathway. In our study, <italic>PTEN</italic> mutations were identified in 11.4% (10/88) of UrC cases. As with <italic>PIK3CA</italic> mutations, abnormal <italic>PTEN</italic> alterations were shown to result in a negative response to anti-<italic>EGFR</italic>-TKI therapy in CRC (<xref ref-type="bibr" rid="B23">Hassin and Oren, 2023</xref>). Notably, <xref ref-type="bibr" rid="B43">Nagy et al. (2020)</xref> reported the presence of <italic>PTEN</italic> mutations in 9.1% (3/33) of 33 UrC samples, whereas the loss of PTEN protein was detected in 20% (6/30) of UrC cases, as determined by immunohistochemistry. The higher rate of PTEN loss at the protein level showed that epigenetic mechanisms are engaged in the downregulation of PTEN. These results suggested that the immunohistochemical analysis of PTEN protein might have significant potential to predict drug resistance to anti-EGFR therapy.</p>
<p>The MET tyrosine kinase receptor, also known as the hepatocyte growth factor receptor, is dependent on the <italic>MET</italic> proto-oncogene. MET can act as a driver of malignant progression but also as a mediator of drug resistance in various cancers. <xref ref-type="bibr" rid="B61">Varadi et al. (2023)</xref> used a next-generation sequencing approach and identified <italic>MET</italic> mutations in 12% (4/3) of UrC cases. In addition, these authors detected two samples with functional mutations; one of these was a dysfunctional mutation while the status of the other mutation remained unknown.</p>
<p>In a phase I trial of tepotinib, a <italic>MET</italic> inhibitor, one patient with metastatic UrC receiving tepotinib treatment achieved stable disease over 12&#xa0;weeks with a progression-free survival (PFS) of 12.9&#xa0;months; however, the <italic>MET</italic> status of this patient was unknown (<xref ref-type="bibr" rid="B20">Frattini et al., 2007</xref>). The overall prevalence of <italic>MET</italic> mutations in UrC was previously reported to be 5.4% (6/112); this is similar to that of <italic>MET</italic> mutations in CRC (2%&#x2013;4%) (<xref ref-type="bibr" rid="B66">Zhang et al., 2018</xref>). Furthermore, studies have shown that <italic>MET</italic> amplification can resist the efficacy of anti-<italic>EGFR</italic> therapy in CRC (<xref ref-type="bibr" rid="B34">Luraghi et al., 2014</xref>), thus suggesting <italic>MET</italic> status might also represents a predictor of efficacy for anti-<italic>EGFR</italic> therapy in UrC.</p>
</sec>
<sec id="s3-2-4">
<title>3.2.4 Mutations of <italic>APC</italic>
</title>
<p>Adenomatous polyposis coli (APC) plays a negative role in the &#x3b2;-catenin/Wnt signaling pathway that regulates cell proliferation and differentiation. APC interacts with and degrades &#xdf;-catenin, a transcriptional regulator. An inactivating <italic>APC</italic> mutation results in the release of pathway inhibition and leads to the abnormal accumulation of nuclear &#x3b2;-catenin, eventually facilitating mitosis and cell proliferation. <xref ref-type="bibr" rid="B43">Nagy et al. (2020)</xref> used a targeted next-generation sequencing approach and identified APC mutations in 14.7% (5/34) of UrC cases; these authors detected two cases with truncating mutations. In another study, <xref ref-type="bibr" rid="B52">Singh et al. (2016)</xref> described APC mutations in 43% (3/7) of UrC cases, including one case with a nonsense mutation, one case with a frameshift mutation, and one case with a deletion. Both the deletion and frameshift mutations resulted in the inactivation of APC protein. In another study, Collazo et al. (<xref ref-type="bibr" rid="B10">Collazo-Lorduy et al., 2016</xref>) reported truncating mutations in the <italic>APC</italic> gene (R1450&#x2a;, R554&#x2a;) in 22% (2/9) of UrC cases while <xref ref-type="bibr" rid="B30">Lee et al. (2017)</xref> described the presence of a frameshift deletion and a stop-gain single nucleotide variant (E1093&#x2a;).</p>
<p>After summarizing all available data relating to APC status, an estimated 15.6% (21/135) of UrC cases possessed <italic>APC</italic> mutations; this is very different to the rate of <italic>APC</italic> mutation observed in cases of CRC (80%) (<xref ref-type="bibr" rid="B8">Cha et al., 2016</xref>), thus demonstrating that the Wnt pathway might play a role in the pathogenesis of UrC in only a relatively small proportion of cases.</p>
</sec>
</sec>
<sec id="s3-3">
<title>3.3 Immunotherapy</title>
<p>Another proficient anti-cancer strategy is targeting tumoral immune-escape mechanisms, in which inhibitors of the programmed cell death-1 (PD-1)/programmed cell death-ligand 1 (PD-L1) checkpoint and cytotoxic T lymphocyte-associated protein-4 (CTLA-4) are of particular therapeutic interest. PD-1/PD-L1 inhibitors have proven efficacious in several types of advanced cancer, including melanoma, non-small-cell lung cancer, renal cell carcinoma, and bladder cancer (<xref ref-type="bibr" rid="B64">Yu, 2018</xref>). Ipilimumaba, a CTLA-4 inhibitor, has been approved for the treatment of patients with metastatic melanoma in 2011 (<xref ref-type="bibr" rid="B24">Hodi et al., 2010</xref>)<bold>.</bold> As immune checkpoint inhibitors have been recently approved for treatment of advanced bladder cancers (<xref ref-type="bibr" rid="B18">Eckstein et al., 2019</xref>), the use of immunotherapy for UrC cases might represent a new treatment option for this rare form of malignancy.</p>
<sec id="s3-3-1">
<title>3.3.1 Biomarkers of immunotherapy</title>
<p>As with other solid tumors, specific biomarkers are urgently needed to identify patients with UrC who might respond to immunotherapy. The presence of MMR deficiency and positive PD-L1 expression on tumor cells might be potential biomarkers of efficacy for the use of PD-1/PD-L1 blockades in patients with UrC. However, no previous study has investigated biomarkers for anti-CTLA therapy in UrC.</p>
<sec id="s3-3-1-1">
<title>3.3.1.1 PD-L1 expression status</title>
<p>The expression of the PD-L1 on tumor cells has validated and significant efficacy for PD-1 inhibition in cases of non-small-cell lung cancer (<xref ref-type="bibr" rid="B40">Mok et al., 2019</xref>). However, the predictive value of PD-L1 expression for the treatment of UrC with PD1 inhibitors is currently unknown, although some institutions have shared their experience with regards to PD-L1 expression profile. For example, <xref ref-type="bibr" rid="B46">Reis et al. (2018)</xref> performed PD-L1 analyses using clone 22C3; in 10 out of 63 cases (15.9%), a specific level of PD-L1 expression was detected in tumor cells. Positive PD-L1 expression was associated with a shorter PFS (<italic>p</italic> &#x3d; 0.002). In another study, <xref ref-type="bibr" rid="B37">Maurer et al. (2020)</xref> evaluated PD-LI expression in glandular bladder tumors and stained all available samples (including samples from three UrC patients) with four different anti-PD-L1 antibody clones (28&#x2013;8, SP142, SP263, and 22C3); none of the three UrC patients tested were positive for PD-L1 expressing immune cells and tumor cells.</p>
<p>In another study, <xref ref-type="bibr" rid="B67">Zhang et al. (2022)</xref> used immunohistochemistry to investigate the characteristics of the immune microenvironment in 37 UrC patients. These authors found that the proportion of immune cells that were positive for PD-L1 protein expression was 35.14% (13/37). Only one case (2.78%) was found to possess tumor cells that were positive for PD-L1 membranous expression. In addition, immune cells that were positive for PD-L1 expression were only marginally associated with a short overall survival (OS) (<italic>p</italic> &#x3d; 0.3700) and disease free survival (DFS) (<italic>p</italic> &#x3d; 0.5400) in patients with UrC. Notably, no significant correlation was identified between the protein expression of PD-L1 in immune cells, histological type, and tumor stage, After summarizing all available data from 103 UrC patients with PD-L1 expression levels, 11 (10.7%) were positive for PD-L1 expression. However, 35.14% (13/37) of cases expressed PD-L1 on tumor-associated immune cells,</p>
</sec>
<sec id="s3-3-1-2">
<title>3.3.1.2 Mismatch repair deficiency status</title>
<p>Mismatch repair pathways serve as pivotal regulators in identifying and repairing mismatched nucleotides during DNA replication or genetic recombination and therefore guarantees genomic integrity and stability. The MMR system consists of a series of DNA mismatch repair proteins, including MLH1, PMS2, MSH2, and MSH6; these can be identified by immunohistochemical approaches in clinical practice. A deficiency of MMR (dMMR) proteins may lead to spontaneous hypermutation alterations and therefore result in microsatellite instability (MSI) (<xref ref-type="bibr" rid="B69">Zhao et al., 2019</xref>). Furthermore, research has revealed high consistency between dMMR and MSI (<xref ref-type="bibr" rid="B9">Cicek et al., 2011</xref>). Furthermore, dMMR status has been reported in approximately 15% of CRC cases (<xref ref-type="bibr" rid="B69">Zhao et al., 2019</xref>) whereas the loss of MMR protein was detected in 10% of 210 UrC samples. In another study, <xref ref-type="bibr" rid="B54">Sirintrapun et al. (2014)</xref> described one case involving the loss of MSH2, MSH6 and PMS2 proteins. In another study, <xref ref-type="bibr" rid="B28">Kardos et al. (2017)</xref> used a targeted exon sequencing method to identify the presence of dMMR in 25% (3/12) of urachal tumors, including two cases with MSH6 loss and one case with the loss of MSH2 and polymerase epsilon complex (POLE). More recently, <xref ref-type="bibr" rid="B67">Zhang et al. (2022)</xref> found that 8.1% (3/37) of UrC patients suffered from dMMR, as determined by IHC staining. However, Hang et al. (<xref ref-type="bibr" rid="B22">Hang and Pan, 2017</xref>) also used immunohistochemistry and demonstrated that MMR proteins (MLH1, MSH2, MSH6 and PMS2) were preserved in all UrC samples tested. Similarly, <xref ref-type="bibr" rid="B46">Reis et al. (2018)</xref> investigated 56 cases by performing MSI analyses and identified only one case that was negative for MSH2 expression. Notably, patients with MMR defects exhibited a considerable response to PD-1 blockade regardless of tumor type (<xref ref-type="bibr" rid="B16">Dudley et al., 2016</xref>) Pembrolizumab, an immune checkpoint inhibitor, was approved in 2017 for the treatment of MMR defects in solid tumors (<xref ref-type="bibr" rid="B36">Marcus et al., 2019</xref>). Similarly, <xref ref-type="bibr" rid="B28">Kardos et al. (2017)</xref> reported one UrC patient harboring a MSH6 mutation who received atezolizumab, an anti-PD-L1 antibody. This patient benefited from the treatment, thus suggesting that dMMR status may represent a favorable biomarker for immunotherapy in UrC.</p>
</sec>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>Given that urachal cancer and colorectal cancer share the same embryological region of origin (<xref ref-type="bibr" rid="B58">Upadhyay and Kukkady, 2003</xref>), many studies have compared the genomic profile of UrC with CRC in an attempt to identify potential therapeutic targets for these rare tumors. After summarizing all available data, we observed both similarity and disparity between CRC and UrC at the molecular level (<xref ref-type="sec" rid="s11">Supplementary Table S1</xref>). The high mutational prevalence of <italic>TP53</italic> (70%), <italic>KRAS</italic> (28.3%), <italic>MYC</italic> (20.3%), and <italic>SMAD4</italic> (18.2%), suggests that the cell cycle pathway, RAS signaling pathway, and TGF-&#x3b2; pathway, all participate in the pathogenesis of UrC in a large proportion of cases. This finding is comparable to those with CRC; APC mutations are considered as the distinct molecular signatures of CRC as they occur in over 80% of cases; only 15.6% of UrC cases possess APC alterations, thus indicating that the Wnt pathway might be less significant in the malignant transformation of UrC. In addition, both in CRC and UrC, a missense mutation in codon 12 was the most frequently altered mutation in the <italic>KRAS</italic> gene. Both CRC and UrC are associated with a low occurrence of <italic>EGFR</italic>, <italic>BRCA</italic>, <italic>PTEN</italic>, <italic>MET</italic> and <italic>BRAF</italic> gene mutations. However, the incidence of <italic>HER 2</italic> mutations in UrC (13%) is significantly higher than that in CRC (3%&#x2013;5%).</p>
<p>Notably, some studies have explored the association between mutational status and prognosis. For example, <xref ref-type="bibr" rid="B43">Nagy et al. (2020)</xref> reported that neither APC mutations nor positive nuclear &#xdf;-catenin were correlated with overall survival. In the same cohort, the presence of <italic>PTEN</italic> mutations and the loss of PTEN protein did not exert a significant effect on overall survival. In addition, although patients with <italic>KRAS</italic> mutations are usually related to a poor prognosis in CRC or lung adenocarcinoma (<xref ref-type="bibr" rid="B59">Uras et al., 2020</xref>), the prognostic role of <italic>KRAS</italic> mutations in patients with UrC still remains controversial. <xref ref-type="bibr" rid="B54">Sirintrapun et al. (2014)</xref>, conducted <italic>KRAS</italic> mutation testing in a series of seven patients with advanced-stage UrC and revealed that patients possessing <italic>KRAS</italic> mutations had a better overall survival (mean survival: 101.7 <italic>versus</italic> 6.5&#xa0;months; <italic>p</italic> &#x3d; 0.035). However, <xref ref-type="bibr" rid="B65">Zaleski et al. (2022)</xref> used next-generation sequencing to analyze the genomic alterations of 30 cases and found that 30% of cases (9/30) possessed <italic>KRAS</italic> mutations; furthermore, the presence of <italic>KRAS</italic> mutations predicted a worse overall survival (<italic>p</italic> &#x3d; 0.006). Given that this particular study only involved a low number of cases with genomic alterations, these results should be interpreted cautiously; their prognostic value for UrC needs to be investigated further.</p>
<p>As UrC shares some genomic alterations with CRC, therapeutic strategies that target CRC might represent a useful reference for the development of strategies for UrC. Currently, several agents have been developed to target the EGFR, including Cetuximab and panitumumab; these demonstrate significant efficacy for patients with metastatic CRC. However, some patients with specific mutations, such as <italic>KRAS</italic>, <italic>NRAS</italic>, <italic>PTEN</italic>, <italic>PIK3CA</italic>, and <italic>MET</italic> are known to respond poorly to anti-EGFR therapy. Notably, most of the poorly responding patients involve problems with the downstream pathways of EGFR, including the RAS/RAF/MAPK pathway, and the PI3K/AKT/mTOR pathway In the present analyses, a high proportion of UrC cases possessed functional gene alterations which played a pivotal role in the EGFR signaling pathway. In addition, some studies have attempted to investigate the potential benefit of EGFR-TKI treatment for UrC and reported encouraging benefits, thus indicating that anti-EGFR therapy might be an effective treatment option for patients with chemotherapy-refractory UrC. Therefore, the genotype of the affected genes may need to be considered before selecting anti-EGFR therapy, even if there is no evidence to validate their role in anti-EGFR therapy. In addition, since a moderate proportion of UrC patients possessed dMMR (12.1%) or <italic>MAP2K1</italic> mutations (8.6%), PARP-targeted therapy and MEK-targeted therapy might also represent curative options for patients harboring dMMR or <italic>MAP2K1</italic> alterations, although there is no convincing evidence to validate their efficacy at present.</p>
<p>However, several deficiencies of targeted therapy of urachal carcinoma should be recognized. Firstly, drug-related toxicity is a significant factor that can determine whether targeted therapy could be adopted. <xref ref-type="bibr" rid="B21">Goss et al. (2005)</xref> conducted a phase I study evaluating the safety, toxicity and other clinical parameters of Iressa treatment for several advanced solid tumors with EGFR overexpression and noted that the dose-limiting toxicity of Iressa mainly included skin rash and diarrhea, both of which were reversible after dose reduction or treatment interruption; furthermore, no significant hematological toxicity was detected. In another study (<xref ref-type="bibr" rid="B10">Collazo-Lorduy et al., 2016</xref>), an acneiform rash was observed in a UrC patient treated with cetuximab; this was managed with focal medication without treatment discontinuation. Furthermore, in a case series of metastatic UrC by <xref ref-type="bibr" rid="B31">Loh et al. (2016a)</xref>, one case discontinued trametinib treatment owing to severe adverse events, while another case interrupted sorafenib management due to a diffuse skin rash (grade 3 adverse event). These data suggested that treatment-related toxicity could limit the efficacy of targeted agents and therefore restrain the application of targeted therapy in UrC patients, at least to some extent. Second, given drug resistance was observed in other malignancies following targeted therapy such as anti-EGFR therapy, potential drug resistance might also be a limitation of targeted therapy in UrC. On this context, a combination of multi-targeted-therapy regimens might make a difference.</p>
<p>With regards to immunotherapy, although both mismatch repair deficiency status and positive PD-L1 expression are considered to represent favorable biomarkers for PD-1/PD-L1 inhibitors, little is known about their role in UrC. In addition, no clinical studies have confirmed the efficacy of immunotherapy for the treatment of UrC. This might be due to the rarity of this aggressive disease; thus, it is difficult to conduct clinical trials. Notably, previous studies have demonstrated that TKI treatment could regulate tumor-related immune response through the tumor microenvironment (<xref ref-type="bibr" rid="B35">Madeddu et al., 2022</xref>). Furthermore, preclinical studies enrolling patients with EGFR mutant non-small cell lung cancer have suggested that <italic>EGFR</italic> mutations could contribute to cancer immune escape through the PD-1/PD-L1 pathway (<xref ref-type="bibr" rid="B4">Bruno and Dowlati, 2019</xref>). In addition, several specific mutated genes including <italic>BRAF</italic> and <italic>PI3KCA</italic> are often accompanied by dMMR in CRC (<xref ref-type="bibr" rid="B60">Van Cutsem et al., 2019</xref>). Based on these findings, it can be hypothesized that a combined regimen of targeted agents and immune checkpoint blockers might increase antitumor activity and exert better efficacy in UrC patients with specific mutational burden. Currently, in a phase I study enrolling patients with metastatic UrC and rare GU malignancies, combination therapies have shown acceptable toxicities and encouraging results (<xref ref-type="bibr" rid="B41">Nadal et al., 2017</xref>) (<ext-link ext-link-type="uri" xlink:href="http://ClinicalTrials.gov">ClinicalTrials.gov</ext-link> Identifier: NCT02496208). In addition, an ongoing phase II clinical trial is attempting to validate the efficacy of a multi-targeted-therapeutic regimen involving the combination of nivolumab (a PD-1 inhibitor), ipilimumab (an anti-CTLA-4 inhibitor) and cabozantinib (a non-specific MET inhibitor) in patients with genitourinary tumors including urachal adenocarcinoma (<ext-link ext-link-type="uri" xlink:href="http://ClinicalTrials.gov">ClinicalTrials.gov</ext-link> Identifier: NCT03866382).</p>
<p>There are several limitations to this study that need to be considered. First, due to the low incidence of UrC, our current knowledge about this disease is mainly derived from case reports and retrospective case series; this is not suitable for the acquisition of high-level evidence for the clinical management of patients with UrC. Indeed, for most rare tumors, numerous pragmatic challenges are inevitable, including the lack of a comprehensive understanding of disease pathogenesis and the inadequate interest and funding available for drug development. Furthermore, due to the rarity of UrC, it is difficult to recruit a sufficient number of patients to conduct clinical trials, let alone establish a standard system to test new interventions. However, some alternative methods may be able to address these problems (<xref ref-type="bibr" rid="B2">Billingham et al., 2016</xref>). For example, maximizing the study duration for clinical studies related to time-to-event outcome could improve statistical power in a small sample size; and using Bayesian framework in a randomized controlled study could significantly reduce uncertainty relating to treatment effect size for the limited patient population. Second, due to heterogeneity in the gene sequencing panels and techniques adopted by different studies, some functional gene alterations may not have been detected. Therefore, we should consider the full range and prevalence of different genomic mutations in UrC. Thus, a standardized gene sequencing technique with a comprehensive gene panel is mandatory for UrC as this will help to accurately define a comprehensive picture of genetic alterations and their frequency, thus providing clinical reference for future clinical investigations. In addition, we performed an additional meta-synthesis of the prevalence of gene mutations; however, owing to the lack of detailed patient characteristics, it was not possible to perform subgroup or survival analysis. Finally, as most of the included studies were case series or case reports, it was not possible to perform quality assessments.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>Our analyses found that the molecular patterns of UrC and CRC are distinct yet similar. Notably, targeted therapy, especially EGFR-targeting therapy, might provide curative efficacy for patients with UrC who are positive for specific molecular markers. Furthermore, target sequencing of relevant functional genes needs to be considered before selecting anti-EGFR therapy for UrC. In addition, MMR status and PD-L1 expression profile appear to represent potential biomarkers for immunotherapy in UrC.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusion of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>YZ, HP, and XH wrote the manuscript and prepared the figures. DW, HW, and SR were responsible for the concept of this study and proof-read the manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This study was supported by the Key Research and Development Projects of Sichuan Science and Technology Department (23ZDYF2070 and 2022YFS0135) and the Popular Application Project of Cadre Health Commission of Sichuan Province (SCR2023-210).</p>
</sec>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fphar.2023.1199395/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fphar.2023.1199395/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image1.jpeg" id="SM2" mimetype="application/jpeg" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<sec id="s12">
<title>Glossary</title>
<table-wrap id="udT1" position="float">
<table>
<tbody valign="top">
<tr>
<td align="left">
<bold>UrC</bold>
</td>
<td align="left">urachal carcinoma</td>
</tr>
<tr>
<td align="left">
<bold>CRC</bold>
</td>
<td align="left">colorectal cancer</td>
</tr>
<tr>
<td align="left">
<bold>TP53</bold>
</td>
<td align="left">tumor-suppressor gene tumor protein p53</td>
</tr>
<tr>
<td align="left">
<bold>KRAS</bold>
</td>
<td align="left">Kirsten rat sarcoma viral oncogene homolog</td>
</tr>
<tr>
<td align="left">
<bold>MYC</bold>
</td>
<td align="left">myelocytomatosis oncogene</td>
</tr>
<tr>
<td align="left">
<bold>SMAD4</bold>
</td>
<td align="left">mothers against decapentaplegic homolog 4</td>
</tr>
<tr>
<td align="left">
<bold>GNAS</bold>
</td>
<td align="left">G protein alpha(s)</td>
</tr>
<tr>
<td align="left">
<bold>EGFR</bold>
</td>
<td align="left">epidermal growth factor receptor</td>
</tr>
<tr>
<td align="left">
<bold>TKI</bold>
</td>
<td align="left">tyrosine kinase inhibitors</td>
</tr>
<tr>
<td align="left">
<bold>APC</bold>
</td>
<td align="left">adenomatous polyposis coli</td>
</tr>
<tr>
<td align="left">
<bold>HER2</bold>
</td>
<td align="left">human epidermal growth factor receptor 2</td>
</tr>
<tr>
<td align="left">
<bold>BRCA</bold>
</td>
<td align="left">breast cancer susceptibility gene</td>
</tr>
<tr>
<td align="left">
<bold>PARP</bold>
</td>
<td align="left">poly (ADP-ribose) polymerase</td>
</tr>
<tr>
<td align="left">
<bold>RAS</bold>
</td>
<td align="left">rat sarcoma viral oncogene homolog</td>
</tr>
<tr>
<td align="left">
<bold>BRAF</bold>
</td>
<td align="left">v-raf murine sarcoma viral oncogene homolog B</td>
</tr>
<tr>
<td align="left">
<bold>MAPK</bold>
</td>
<td align="left">mitogen-activated protein kinases</td>
</tr>
<tr>
<td align="left">
<bold>PI3K</bold>
</td>
<td align="left">phosphoinositide 3-kinase</td>
</tr>
<tr>
<td align="left">
<bold>AKT</bold>
</td>
<td align="left">V-akt murine thymoma viral oncogene homolog</td>
</tr>
<tr>
<td align="left">
<bold>mTOR</bold>
</td>
<td align="left">mechanistic target of rapamycin</td>
</tr>
<tr>
<td align="left">
<bold>MMR</bold>
</td>
<td align="left">mismatch repair</td>
</tr>
<tr>
<td align="left">
<bold>PD-1</bold>
</td>
<td align="left">programmed cell death-1</td>
</tr>
<tr>
<td align="left">
<bold>PD-L1</bold>
</td>
<td align="left">programmed cell death-Ligand 1</td>
</tr>
<tr>
<td align="left">
<bold>PIK3CA</bold>
</td>
<td align="left">phosphatidylinositol-4, 5-bisphosphate 3-kinase catalytic subunit alpha</td>
</tr>
<tr>
<td align="left">
<bold>PTEN</bold>
</td>
<td align="left">phosphatase and tensin homolog</td>
</tr>
<tr>
<td align="left">
<bold>MET</bold>
</td>
<td align="left">METproto-oncogene receptor tyrosine kinase</td>
</tr>
<tr>
<td align="left">
<bold>NF1</bold>
</td>
<td align="left">neurofibromatosis type 1</td>
</tr>
<tr>
<td align="left">
<bold>MSI</bold>
</td>
<td align="left">microsatellite instability</td>
</tr>
<tr>
<td align="left">
<bold>NRAS</bold>
</td>
<td align="left">neuroblastoma rat sarcoma viral oncogene homolog</td>
</tr>
<tr>
<td align="left">
<bold>FGFR</bold>
</td>
<td align="left">fibroblast growth factor receptor</td>
</tr>
<tr>
<td align="left">
<bold>HRA</bold>
</td>
<td align="left">Harvey rat sarcoma viral oncogene homolog</td>
</tr>
<tr>
<td align="left">
<bold>dMMR</bold>
</td>
<td align="left">deficiency of MMR</td>
</tr>
<tr>
<td align="left">
<bold>MLH1</bold>
</td>
<td align="left">mismatch repair gene mutL homolog 1</td>
</tr>
<tr>
<td align="left">
<bold>PMS2</bold>
</td>
<td align="left">postmeiotic segregation increased 2</td>
</tr>
<tr>
<td align="left">
<bold>MSH2</bold>
</td>
<td align="left">mutS homolog 2</td>
</tr>
<tr>
<td align="left">
<bold>MSH6</bold>
</td>
<td align="left">mutS homolog 6</td>
</tr>
<tr>
<td align="left">
<bold>TGF-&#x3b2;</bold>
</td>
<td align="left">transforming growth factor-beta</td>
</tr>
<tr>
<td align="left">
<bold>CTLA-4</bold>
</td>
<td align="left">cytotoxic T lymphocyte-associated protein 4</td>
</tr>
<tr>
<td align="left">
<bold>POLE</bold>
</td>
<td align="left">polymerase epsilon complex</td>
</tr>
<tr>
<td align="left">
<bold>MDM2</bold>
</td>
<td align="left">mouse double minute 2</td>
</tr>
<tr>
<td align="left">
<bold>Hsp90</bold>
</td>
<td align="left">Heat shock protein 90</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</back>
</article>