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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="review-article">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2017.00050</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Mini Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Update on the Treatment of Metastatic Squamous Non-Small Cell Lung Cancer in New Era of Personalized Medicine</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Soldera</surname> <given-names>Sara Victoria</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://frontiersin.org/people/u/395536"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Leighl</surname> <given-names>Natasha B.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="cor1">&#x0002A;</xref>
<uri xlink:href="http://frontiersin.org/people/u/34191"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Division of Medical Oncology, Princess Margaret Cancer Centre</institution>, <addr-line>Toronto, ON</addr-line>, <country>Canada</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Vera Hirsh, McGill University, Canada</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Janaki Deepak, University of Maryland Baltimore, USA; Jimson Wilson DSouza, Fox Chase Cancer Center, USA</p></fn>
<corresp content-type="corresp" id="cor1">&#x0002A;Correspondence: Natasha B. Leighl, <email>natasha.leighl&#x00040;uhn.ca</email></corresp>
<fn fn-type="other" id="fn002"><p>Specialty section: This article was submitted to Thoracic Oncology, a section of the journal Frontiers in Oncology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>03</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection">
<year>2017</year>
</pub-date>
<volume>7</volume>
<elocation-id>50</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>11</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>03</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2017 Soldera and Leighl.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Soldera and Leighl</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) or licensor 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>Despite advances in molecular characterization and lung cancer treatment in recent years, treatment options for patients diagnosed with squamous cell carcinoma of the lung (SCC) remain limited as actionable mutations are rarely detected in this subtype. This article reviews potential molecular targets and associated novel agents for the treatment of advanced SCC in the era of personalized medicine. Elements of various pathways including <italic>epidermal growth factor receptor, PI3KCA, fibroblast growth factor receptor, retinoblastoma, cyclin-dependent kinases, discoidin domain receptor tyrosine kinase 2</italic>, and <italic>mesenchymal-to-epithelial transition</italic> may play pivotal roles in the development of SCC and are under investigation for drug development.</p>
</abstract>
<kwd-group>
<kwd>targeted therapy</kwd>
<kwd>personalized medicine</kwd>
<kwd>lung cancer</kwd>
<kwd>squamous cell carcinoma</kwd>
<kwd>molecular sequence data</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="90"/>
<page-count count="9"/>
<word-count count="7298"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="introduction">
<title>Introduction</title>
<p>In 2016, lung cancer remains the most commonly diagnosed malignancy and accounts for the most cancer-related deaths worldwide, representing a significant global health burden (<xref ref-type="bibr" rid="B1">1</xref>). The majority of these neoplasms are pathologically categorized as non-small cell lung cancer (NSCLC), which is further divided into three main pathological subtypes: adenocarcinoma, squamous cell carcinoma (SCC), and large cell carcinoma. SCC represents an estimated 20% of NSCLC in developed countries and is mainly attributed to tobacco consumption (<xref ref-type="bibr" rid="B2">2</xref>). In the past decade, breakthroughs in molecular characterization of cancers have revolutionized the classification and therapeutic arsenal for lung malignancies. With the discovery of oncogenic driver mutations in epidermal growth factor receptor (EGFR) and rearrangements in <italic>anaplastic lymphoma kinase</italic> (<italic>ALK</italic>) and <italic>ROS1</italic>, there has been a paradigm shift from a &#x0201C;one size fits all&#x0201D; approach to lung cancer treatment to more precise and rational targeted therapy (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). Targeted agents such as EGFR and ALK tyrosine kinase inhibitors (TKI) are now routinely used in clinical practice and have contributed to improving the previously dismal prognosis of this malignancy (<xref ref-type="bibr" rid="B5">5</xref>&#x02013;<xref ref-type="bibr" rid="B12">12</xref>). Unfortunately, the impact of these developments to date is largely limited to lung adenocarcinoma as these actionable mutations are rarely detected in other subtypes such as pure SCC (<xref ref-type="bibr" rid="B13">13</xref>). This article reviews potential molecular targets and associated novel treatments for advanced lung SCC in the new era of personalized medicine (Figure <xref ref-type="fig" rid="F1">1</xref>; Table <xref ref-type="table" rid="T1">1</xref>).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p><bold>General signaling schema of cell membrane (EGFR, FGFR, MET, and DDR2), cytoplastic (PI3KCA, AKT, mTOR, and PTEN), and nuclear (Rb1 and CDK) molecular targets in squamous NSCLC</bold>. CDK, cyclin dependent kinases; DDR2, discoidin domain receptor tyrosine kinase 2; ECM, extracellular matrix; EGF, epidermal growth factor; EGFR, epidermal growth factor receptor; FGF, fibroblast growth factor; FGFR, fibroblast growth factor receptor; HGF, hepatocyte growth factor; mTOR, mammalian target of rapamycin; MET, mesenchymal-to-epithelial transition; PTEN, phosphatase and tensin homolog. Credit to Matthew Villagonzalo, graphic artist, University Health Network.</p></caption>
<graphic xlink:href="fonc-07-00050-g001.tif"/>
</fig>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p><bold>Estimated incidence of targetable molecular aberrations in squamous non-small cell lung cancer (NSCLC)</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Gene and aberration</th>
<th valign="top" align="center">Incidence (%)</th>
<th valign="top" align="left">Reference</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="3"><bold>EGFR</bold></td>
</tr>
<tr>
<td align="left" valign="top">Mutation</td>
<td align="center" valign="top">0&#x02013;4.9</td>
<td align="left" valign="top">Lindeman et al. (<xref ref-type="bibr" rid="B13">13</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">1.1</td>
<td align="left" valign="top">TCGA (<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">4</td>
<td align="left" valign="top">Spoerke et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Amplification</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">TCGA (<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3"><bold>ALK</bold></td>
</tr>
<tr>
<td align="left" valign="top">Rearrangement</td>
<td align="center" valign="top">0</td>
<td align="left" valign="top">Lindeman et al. (<xref ref-type="bibr" rid="B13">13</xref>)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3"><bold>FGFR</bold></td>
</tr>
<tr>
<td align="left" valign="top">Mutation</td>
<td align="center" valign="top">0.8<xref ref-type="table-fn" rid="tfn2"><sup>b</sup></xref></td>
<td align="left" valign="top">CLCGP/NGM (<xref ref-type="bibr" rid="B16">16</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">8<xref ref-type="table-fn" rid="tfn3"><sup>c</sup></xref></td>
<td align="left" valign="top">TCGA (<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Amplification</td>
<td align="center" valign="top">9.7&#x02013;22</td>
<td align="left" valign="top">Weiss et al. (<xref ref-type="bibr" rid="B17">17</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">16<xref ref-type="table-fn" rid="tfn5"><sup>e</sup></xref></td>
<td align="left" valign="top">Heist et al. (<xref ref-type="bibr" rid="B18">18</xref>)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3"><bold>PI3KCA</bold></td>
</tr>
<tr>
<td align="left" valign="top">Amplification</td>
<td align="center" valign="top">37</td>
<td align="left" valign="top">Spoerke et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">33</td>
<td align="left" valign="top">Yamamoto et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Mutation</td>
<td align="center" valign="top">9</td>
<td align="left" valign="top">Spoerke et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">16</td>
<td align="left" valign="top">TCGA (<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">3.6</td>
<td align="left" valign="top">Yamamoto et al. (<xref ref-type="bibr" rid="B19">19</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">6.5</td>
<td align="left" valign="top">Kawano et al. (<xref ref-type="bibr" rid="B20">20</xref>)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3"><bold>PTEN</bold></td>
</tr>
<tr>
<td align="left" valign="top">Loss</td>
<td align="center" valign="top">21</td>
<td align="left" valign="top">Spoerke et al. (<xref ref-type="bibr" rid="B15">15</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Mutation</td>
<td align="center" valign="top">8</td>
<td align="left" valign="top">TCGA (<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">10.2</td>
<td align="left" valign="top">Jin et al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3"><bold>Rb1</bold></td>
</tr>
<tr>
<td align="left" valign="top">Mutation</td>
<td align="center" valign="top">7</td>
<td align="left" valign="top">TCGA (<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3"><bold>CDK</bold></td>
</tr>
<tr>
<td align="left" valign="top">Amplification<xref ref-type="table-fn" rid="tfn4"><sup>d</sup></xref></td>
<td align="center" valign="top">Significantly amplified</td>
<td align="left" valign="top">TCGA (<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3"><bold>CDKN2A</bold></td>
</tr>
<tr>
<td align="left" valign="top">Mutation</td>
<td align="center" valign="top">15</td>
<td align="left" valign="top">TCGA (<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Loss<xref ref-type="table-fn" rid="tfn1"><sup>a</sup></xref></td>
<td align="center" valign="top">72</td>
<td align="left" valign="top">TCGA (<xref ref-type="bibr" rid="B14">14</xref>)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3"><bold>DDR2</bold></td>
</tr>
<tr>
<td align="left" valign="top">Mutation</td>
<td align="center" valign="top">1.1</td>
<td align="left" valign="top">CLCGP/NGM (<xref ref-type="bibr" rid="B16">16</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="center" valign="top">3.8</td>
<td align="left" valign="top">Hammerman et al. (<xref ref-type="bibr" rid="B22">22</xref>)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="3"><bold>MET</bold></td>
</tr>
<tr>
<td align="left" valign="top">amplification</td>
<td align="center" valign="top">6.2&#x02013;10.3</td>
<td align="left" valign="top">Go et al. (<xref ref-type="bibr" rid="B23">23</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1"><p><italic><sup>a</sup>Via epigenetic silencing by methylation, inactivating mutation, exon 1&#x003B2; skipping and homozygous deletion</italic>.</p></fn>
<fn id="tfn2"><p><italic><sup>b</sup>All FGFR3 mutations</italic>.</p></fn>
<fn id="tfn3"><p><italic><sup>c</sup>FGFR1, 2, 3, and 4 mutations</italic>.</p></fn>
<fn id="tfn4"><p><italic><sup>d</sup>Significant amplification of CDK6 and CCND1</italic>.</p></fn>
<fn id="tfn5"><p><italic><sup>e</sup>FGFR1 amplification</italic>.</p></fn></table-wrap-foot></table-wrap>
<p>In recent years, comprehensive molecular profiling of SCC has revealed that these cancers harbor numerous genomic and epigenomic alterations with a reported mean of 360 exonic mutations, 165 rearrangements, and 323 segments of copy-number alteration per tumor (<xref ref-type="bibr" rid="B14">14</xref>). Relative to other tumor types, only malignant melanomas contain a higher burden of genetic abnormalities (<xref ref-type="bibr" rid="B24">24</xref>). This is not surprising since both of these cancers are associated with significant exposure to carcinogens. In fact, SCC is known to be strongly associated with chronic tobacco exposure (<xref ref-type="bibr" rid="B25">25</xref>). With such a complex genetic landscape and associated high immunogenicity, this tumor type has been an interesting target for immunotherapy and chemotherapy, but the development of targeted agents has thus far represented a significant challenge (<xref ref-type="bibr" rid="B26">26</xref>). To address this lack of targeted therapies, the Cancer Genome Atlas Project compared SCC samples to normal pulmonary tissue in order to identify potential actionable mutations (<xref ref-type="bibr" rid="B14">14</xref>). Eleven recurrent genomic abnormalities were reported, including <italic>tumor protein 53, cyclin-dependent kinase inhibitor 2A</italic> (<italic>CDKN2A</italic>), <italic>phosphatase and tensin homolog</italic> (<italic>PTEN</italic>), <italic>PIK3CA, Kelch-like ECH-associated protein 1, mixed-lineage leukemia protein 2, human leukocyte antigens A, nuclear factor erythroid-derived 2-like 2, NOTCH1</italic>, and <italic>retinoblastoma (Rb1)</italic> (Figure <xref ref-type="fig" rid="F1">1</xref>; Table <xref ref-type="table" rid="T1">1</xref>). Aberrations in these genes are thought to promote oncologic transformation and progression through their effect on cell survival and proliferation, cell cycle progression, metastatic spread, genetic instability, and response to oxidative stress. Other series have demonstrated similar recurring mutations, while also demonstrating significant abnormalities in <italic>Kirsten rat sarcoma viral oncogene homolog</italic> (<italic>KRAS</italic>), <italic>PI3KCA, mesenchymal-to-epithelial transition (MET), human epidermal growth factor receptor 2, fibroblast growth factor receptor (FGFR), platelet-derived growth factor receptors</italic> (<italic>PDGFR</italic>), <italic>BRAF</italic>, and <italic>discoidin domain receptor tyrosine kinase 2 (DDR2)</italic> (<xref ref-type="bibr" rid="B15">15</xref>&#x02013;<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B27">27</xref>) (Figure <xref ref-type="fig" rid="F1">1</xref>; Table <xref ref-type="table" rid="T1">1</xref>). These findings have fueled the development of multiple targeted agents directed against these pathways (Table <xref ref-type="table" rid="T2">2</xref>).</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p><bold>Clinical trials of targeted therapies in squamous NSCLC</bold>.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Agents</th>
<th valign="top" align="left" rowspan="2">Trial</th>
<th valign="top" align="left" rowspan="2">Phase</th>
<th valign="top" align="left">Outcome<hr/></th>
<th valign="top" align="left" rowspan="2">Reference</th>
</tr><tr>
<th valign="top" align="left">(95% CI)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="5"><bold>EGFR</bold></td>
</tr>
<tr>
<td align="left" valign="top">Erlotinib versus placebo</td>
<td align="left" valign="top">BR21</td>
<td align="left" valign="top">III</td>
<td align="left" valign="top">OS HR 0.70 (0.58&#x02013;0.85)</td>
<td align="left" valign="top">Shepherd et al. (<xref ref-type="bibr" rid="B28">28</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Gefitinib versus D</td>
<td align="left" valign="top">INTEREST</td>
<td align="left" valign="top">III</td>
<td align="left" valign="top">OS HR 1.020 (0.905&#x02013;1.150)</td>
<td align="left" valign="top">Kim et al. (<xref ref-type="bibr" rid="B29">29</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Afatinib versus erlotinib</td>
<td align="left" valign="top">LUX-Lung 8</td>
<td align="left" valign="top">III</td>
<td align="left" valign="top">PFS HR 0.81 (0.69&#x02013;0.96)</td>
<td align="left" valign="top">Soria et al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">OS HR 0.81 (0.69&#x02013;0.95)</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">C&#x02009;&#x0002B;&#x02009;T&#x02009;&#x000B1;&#x02009;cetuximab</td>
<td align="left" valign="top">BMS 099</td>
<td align="left" valign="top">III</td>
<td align="left" valign="top">PFS HR 0.902 (0.761&#x02013;1.069)</td>
<td align="left" valign="top">Lynch et al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">OS HR 0.890 (0.754&#x02013;1.051)</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Cis&#x02009;&#x0002B;&#x02009;V&#x02009;&#x000B1;&#x02009;cetuximab</td>
<td align="left" valign="top">FLEX</td>
<td align="left" valign="top">III</td>
<td align="left" valign="top">OS HR 0.871 (0.762&#x02013;0.996)</td>
<td align="left" valign="top">Pirker et al. (<xref ref-type="bibr" rid="B32">32</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Chemo&#x02009;&#x000B1;&#x02009;cetuximab</td>
<td align="left" valign="top">Pujol et al.</td>
<td align="left" valign="top">Individual patient data meta-analysis</td>
<td align="left" valign="top">PFS HR 0.90 (0.82&#x02013;1.00)</td>
<td align="left" valign="top">Pujol et al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">OS HR 0.88 (0.79&#x02013;0.97)</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Cis&#x02009;&#x0002B;&#x02009;G&#x02009;&#x000B1;&#x02009;necitumumab</td>
<td align="left" valign="top">SQUIRE</td>
<td align="left" valign="top">III</td>
<td align="left" valign="top">OS HR 0.84 (0.74&#x02013;0.96)</td>
<td align="left" valign="top">Thatcher et al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">P&#x02009;&#x000B1;&#x02009;matuzumab (1 versus 3&#x02009;week)</td>
<td align="left" valign="top">Schiller et al.</td>
<td align="left" valign="top">Randomized II</td>
<td align="left" valign="top">ORR 5 versus 11% (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.332)<xref ref-type="table-fn" rid="tfn6"><sup>a</sup></xref></td>
<td align="left" valign="top">Schiller et al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">OS 1&#x02009;week HR 0.67 (0.3&#x02013;0.21)</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">OS 3&#x02009;week HR 1.66 (0.9&#x02013;0.86)</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">C&#x02009;&#x0002B;&#x02009;T&#x02009;&#x000B1;&#x02009;panitumumab</td>
<td align="left" valign="top">Crawford et al.</td>
<td align="left" valign="top">Randomized II</td>
<td align="left" valign="top">TTP HR 0.9 (0.66&#x02013;1.21)</td>
<td align="left" valign="top">Crawford et al. (<xref ref-type="bibr" rid="B36">36</xref>)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>FGFR</bold></td>
</tr>
<tr>
<td align="left" valign="top">D&#x02009;&#x000B1;&#x02009;nintedanib</td>
<td align="left" valign="top">LUME-lung 1</td>
<td align="left" valign="top">III</td>
<td align="left" valign="top">PFS HR 0.79 (0.68&#x02013;0.92)</td>
<td align="left" valign="top">Reck et al. (<xref ref-type="bibr" rid="B37">37</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">OS HR 0.94 (0.83&#x02013;1.05)</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Dovitinib</td>
<td align="left" valign="top">Lim et al.</td>
<td align="left" valign="top">Single arm II</td>
<td align="left" valign="top">ORR 11.5% (0.8&#x02013;23.8)</td>
<td align="left" valign="top">Lim et al. (<xref ref-type="bibr" rid="B38">38</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">AZD4547</td>
<td align="left" valign="top">Paik et al.</td>
<td align="left" valign="top">Ib</td>
<td align="left" valign="top">0 CR, 1 PR, 4 SD, 9 PD<xref ref-type="table-fn" rid="tfn7"><sup>b</sup></xref></td>
<td align="left" valign="top">Paik et al. (<xref ref-type="bibr" rid="B39">39</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">BGJ398</td>
<td align="left" valign="top">Nogova et al.</td>
<td align="left" valign="top">I</td>
<td align="left" valign="top">15.4% PR, 34.6% SD</td>
<td align="left" valign="top">Nogova et al. (<xref ref-type="bibr" rid="B40">40</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">23.1% PR, 26.9% unknown</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>PI3KCA</bold></td>
</tr>
<tr>
<td align="left" valign="top">Everolimus</td>
<td align="left" valign="top">Soria et al.</td>
<td align="left" valign="top">Single arm II</td>
<td align="left" valign="top">ORR 4.7%</td>
<td align="left" valign="top">Soria et al. (<xref ref-type="bibr" rid="B41">41</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Everolimus&#x02009;&#x0002B;&#x02009;D</td>
<td align="left" valign="top">Ramalingam et al.</td>
<td align="left" valign="top">Single arm II</td>
<td align="left" valign="top">ORR 8%</td>
<td align="left" valign="top">Ramalingam et al. (<xref ref-type="bibr" rid="B42">42</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Erlotinib&#x02009;&#x000B1;&#x02009;everolimus</td>
<td align="left" valign="top">Besse et al.</td>
<td align="left" valign="top">Randomized II</td>
<td align="left" valign="top">PFS 0.769 (0.506&#x02013;1.167)</td>
<td align="left" valign="top">Besse et al. (<xref ref-type="bibr" rid="B43">43</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">Buparlisib</td>
<td align="left" valign="top">BASALT-1</td>
<td align="left" valign="top">Single arm II</td>
<td align="left" valign="top">12&#x02009;week PFS 23.3% (9.9&#x02013;42.3)</td>
<td align="left" valign="top">Vansteenkiste et al. (<xref ref-type="bibr" rid="B44">44</xref>)</td>
</tr>
<tr>
<td align="left" valign="top">D&#x02009;&#x000B1;&#x02009;PX-866</td>
<td align="left" valign="top">Levy et al.</td>
<td align="left" valign="top">Randomized II</td>
<td align="left" valign="top">med PFS 2 versus 2.9 mo (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.65)</td>
<td align="left" valign="top">Levy et al. (<xref ref-type="bibr" rid="B45">45</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">med OS 7.9 versus 9.4 mo (<italic>p</italic>&#x02009;&#x0003D;&#x02009;0.9)</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>Rb1/CDK</bold></td>
</tr>
<tr>
<td align="left" valign="top">Palbociclib</td>
<td align="left" valign="top">Gopalan et al.</td>
<td align="left" valign="top">Single arm II</td>
<td align="left" valign="top">ORR 0%, SD 50% (8/16)</td>
<td align="left" valign="top">Gopalan et al. (<xref ref-type="bibr" rid="B46">46</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">Med PFS 12.5&#x02009;week</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Abemaciclib</td>
<td align="left" valign="top">Patnaik et al.</td>
<td align="left" valign="top">I</td>
<td align="left" valign="top">ORR 3%, DCR 49%</td>
<td align="left" valign="top">Patnaik et al. (<xref ref-type="bibr" rid="B47">47</xref>)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>DDR2</bold></td>
</tr>
<tr>
<td align="left" valign="top">Dasatinib</td>
<td align="left" valign="top">Johnson et al.</td>
<td align="left" valign="top">Single arm II</td>
<td align="left" valign="top">DCR 43%, ORR 3%</td>
<td align="left" valign="top">Johnson et al. (<xref ref-type="bibr" rid="B48">48</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">Med PFS 1.36 mo</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">Med OS 11.4 mo</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Dasatinib&#x02009;&#x0002B;&#x02009;erlotinib</td>
<td align="left" valign="top">Haura et al.</td>
<td align="left" valign="top">I/II</td>
<td align="left" valign="top">DCR 62%, ORR 7%</td>
<td align="left" valign="top">Haura et al. (<xref ref-type="bibr" rid="B49">49</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">Med PFS 2.7 mo</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">Med OS 5.6 mo</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top" colspan="5"><bold>MET</bold></td>
</tr>
<tr>
<td align="left" valign="top">PL&#x02009;&#x0002B;&#x02009;TAX&#x02009;&#x000B1;&#x02009;onartuzumab</td>
<td align="left" valign="top">Hirsch et al.</td>
<td align="left" valign="top">Randomized II</td>
<td align="left" valign="top">PFS HR 0.95 (0.63&#x02013;1.43)</td>
<td align="left" valign="top">Hirsch et al. (<xref ref-type="bibr" rid="B50">50</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">OS HR 0.90 (0.55&#x02013;1.47)</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Erlotinib&#x02009;&#x000B1;&#x02009;tivantinib</td>
<td align="left" valign="top">Sequist et al.</td>
<td align="left" valign="top">Randomized II</td>
<td align="left" valign="top">PFS HR 0.81 (0.57&#x02013;1.16)</td>
<td align="left" valign="top">Sequist et al. (<xref ref-type="bibr" rid="B51">51</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">OS HR 0.87 (0.59&#x02013;1.27)</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Erlotinib&#x02009;&#x000B1;&#x02009;onartuzumab</td>
<td align="left" valign="top">METLung</td>
<td align="left" valign="top">III</td>
<td align="left" valign="top">PFS HR 0.99 (0.81&#x02013;1.20)</td>
<td align="left" valign="top">Spigel et al. (<xref ref-type="bibr" rid="B52">52</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">OS HR 1.27 (0.98&#x02013;1.65)</td>
<td align="left" valign="top"/>
</tr>
<tr>
<td align="left" valign="top">Erlotinib&#x02009;&#x000B1;&#x02009;onartuzumab</td>
<td align="left" valign="top">Spigel et al.</td>
<td align="left" valign="top">Randomized II</td>
<td align="left" valign="top">PFS HR 1.09 (0.73&#x02013;1.62)</td>
<td align="left" valign="top">Spigel et al. (<xref ref-type="bibr" rid="B53">53</xref>)</td>
</tr>
<tr>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top"/>
<td align="left" valign="top">OS HR 0.80 (0.50&#x02013;1.28)</td>
<td align="left" valign="top"/>
</tr>
</tbody>
</table>
<table-wrap-foot><p><italic>C, carboplatin; Cis, cisplatin; CR, complete response; D, docetaxel; DCR, disease control rate; G, gemcitabine; HR, hazard ratio; Med, median; ORR, objective response rate; OS, overall survival; P, pemetrexed; PD, progressive disease; PFS, progression-free survival; PL, platinum; PR, partial response; SD, stable disease; T, taxane; TAX, paclitaxel; TTP, time to progression; V, vinorelbine</italic>.</p>
<fn id="tfn6"><p><italic><sup>a</sup>ORR in pem versus all matuzumab containing arms</italic>.</p></fn>
<fn id="tfn7"><p><italic><sup>b</sup>Represents number of patients with measured response as detailed</italic>.</p></fn></table-wrap-foot></table-wrap>
</sec>
<sec id="S2">
<title>Epidermal Growth Factor Receptor</title>
<p>EGFR TKIs improve outcomes for patients with lung cancer harboring activating <italic>EGFR</italic> mutations. While these mutations are commonly found in adenocarcinoma, women, Asians and light or never smokers (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B5">5</xref>&#x02013;<xref ref-type="bibr" rid="B10">10</xref>), they are rarely found in pure SCC with series reporting a rate in the range of 0&#x02013;5% (<xref ref-type="bibr" rid="B13">13</xref>). Despite this, EGFR TKI have shown significant benefit compared to placebo in patients with advanced lung cancer (all genotypes) having progressed on first or second-line chemotherapy, including SCC (<xref ref-type="bibr" rid="B28">28</xref>&#x02013;<xref ref-type="bibr" rid="B30">30</xref>). More recently, Soria et al. reported further advantage of afatinib over erlotinib in the treatment of advanced unselected SCC (including mixed NSCLC) in terms of both PFS (median 2.6 versus 1.9&#x02009;months; HR 0.81, 95% CI 0.69&#x02013;0.96, <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0103) and OS (median OS 7.9 versus 6.8&#x02009;months; HR 0.81, 95% CI 0.69&#x02013;0.95, <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.0077) (<xref ref-type="bibr" rid="B30">30</xref>). Of note, patients were previously treated with first-line platinum doublet and had no prior EGFR TKI directed therapies.</p>
<p>Monoclonal antibodies directed against EGFR have also been investigated in this setting. For example, several trials explored the use of cetuximab in combination with chemotherapy in treatment na&#x000EF;ve patients, including two phase III trials with conflicting results (<xref ref-type="bibr" rid="B31">31</xref>, <xref ref-type="bibr" rid="B32">32</xref>). A meta-analysis reported a HR of 0.878 (95% CI, 0.795&#x02013;0.969; <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.01) for overall survival favoring the use of cetuximab in all lung cancer subtypes (<xref ref-type="bibr" rid="B33">33</xref>). Necitumumab, a second-generation recombinant human IgG1 monoclonal antibody, has also shown minor improvements in PFS and OS when added to gemcitabine/cisplatin first-line in advanced SCC versus gemcitabine/cisplatin alone (HR OS 0.84, 95% CI 0.74&#x02013;0.96; <italic>p</italic>&#x02009;&#x0003D;&#x02009;0.01) (<xref ref-type="bibr" rid="B34">34</xref>). No predictive markers of benefit were identified, although <italic>EGFR</italic> copy number may be promising (<xref ref-type="bibr" rid="B54">54</xref>). Conversely, other agents such as matuzumab and panitumumab have failed to show a benefit (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Despite the low frequency of actionable mutations, SCC shows high rates of <italic>EGFR</italic> amplification and protein expression that could explain these results (<xref ref-type="bibr" rid="B55">55</xref>&#x02013;<xref ref-type="bibr" rid="B57">57</xref>). To date, different trials have reported inconsistent results using these findings as predictive biomarkers for response to EGFR directed therapies and their significance remains controversial (<xref ref-type="bibr" rid="B58">58</xref>).</p>
</sec>
<sec id="S3">
<title>Fibroblast Growth Factor Receptor</title>
<p>Genomic abnormalities in the <italic>FGFR</italic> pathway have also been frequently reported in various malignancies including SCC of the lung (<xref ref-type="bibr" rid="B59">59</xref>). Most of these aberrations are <italic>FGFR</italic> amplifications with reported rates ranging from approximately 10&#x02013;25%, while mutations are present in approximately 0&#x02013;8% of cases (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B16">16</xref>&#x02013;<xref ref-type="bibr" rid="B18">18</xref>). It is hypothesized that this family of transmembrane receptors participates in many cellular processes including cell survival, differentiation, migration, angiogenesis, tissue homeostasis and repair, and inflammation (<xref ref-type="bibr" rid="B60">60</xref>&#x02013;<xref ref-type="bibr" rid="B62">62</xref>). Clinically, <italic>FGFR</italic> amplifications are associated with smoking history and worse prognosis in SCC (<xref ref-type="bibr" rid="B63">63</xref>). In recent years, multiple FGFR-directed molecules, including both selective and non-selective FGFR inhibitors, have been developed but remain investigational to date. In the phase III LUME-lung 1 trial, nintedanib, an oral multiple TKI targeting FGFR1&#x02013;3, vascular endothelial growth factor receptor 1&#x02013;3, PDGFR &#x003B1; and &#x003B2;, RET, FLT3, and Src family kinases, was investigated in combination with docetaxel after failure of first-line therapy versus placebo (<xref ref-type="bibr" rid="B37">37</xref>). Despite marginal improvement in PFS in the overall study population, OS benefit was limited to adenocarcinomas. Dovitinib, a multikinase inhibitor of FGFR1&#x02013;3, VEGFR1&#x02013;3, PDGFR &#x003B2;, c-KIT, and FLT3, investigated in a phase II trial of SCC lung cancers showed modest antitumor activity and acceptable toxicity profile with most common significant side effects including gastro-intestinal toxicity (nausea, diarrhea, and anorexia), skin rash, and fatigue (<xref ref-type="bibr" rid="B38">38</xref>). Selective FGFR inhibitors, such as FGFR1&#x02013;3 and VEGFR2 inhibitor AZD4547 and pan-FGFR inhibitor BGJ398, remain largely investigational, as early phase trials have reported mixed results in terms of efficacy (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>) (NCT00979134, NCT02154490, NCT02160041, NCT01004224). Other agents such as lucitanib (<xref ref-type="bibr" rid="B64">64</xref>) (NCT01283945, NCT02109016), ponatinib (NCT01935336), Bay1163877 (NCT02592785, NCT01976741), ARQ087 (NCT01752920), and JNJ-42756493 (NCT02699606) are also in development. Most trials enrolled molecularly enriched populations according to <italic>FGFR</italic> amplification. To date, there is however no standardized method or cut-off for amplification status with significant heterogeneity across trials.</p>
</sec>
<sec id="S4">
<title>PI3KCA</title>
<p>Alterations in the <italic>PI3KCA</italic> pathway have also been implicated in the development and progression of advanced lung cancer (<xref ref-type="bibr" rid="B14">14</xref>). Its activation, triggering downstream AKT and mammalian target of rapamycin signaling, has been linked to gene amplification and mutations, which are both found predominantly in SCC in the range of 35 and 3&#x02013;15%, respectively (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B19">19</xref>&#x02013;<xref ref-type="bibr" rid="B21">21</xref>). This pathway is also upregulated through inactivating mutations and loss of its negative regulator <italic>PTEN</italic> and rarely <italic>via AKT</italic> mutations (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B65">65</xref>). In response to various growth factors, PI3KCA-AKT-mTOR participates in many cellular functions including cell growth, proliferation, differentiation, motility, and survival (<xref ref-type="bibr" rid="B66">66</xref>). In preclinical models, cells harboring <italic>PI3KCA</italic> alterations present aggressive phenotype and express markers of epithelial-to-mesenchymal transition (<xref ref-type="bibr" rid="B67">67</xref>). Clinically, these aberrations are also linked to EGFR inhibitor resistance (<xref ref-type="bibr" rid="B68">68</xref>). Previously, multiple trials have investigated the use of everolimus, an mTORC1 inhibitor, with disappointing results (<xref ref-type="bibr" rid="B41">41</xref>&#x02013;<xref ref-type="bibr" rid="B43">43</xref>). Currently, various newer agents targeting this pathway are in development including isoform-specific and pan-isoform PI3KCA inhibitors, AKT inhibitors, and dual PI3KCA-mTOR inhibitors. Buparlisib, an oral inhibitor of class I PI3K (&#x003B1;, &#x003B2;, &#x003B3;, and d), showed disappointing response rates in a phase II trial meeting futility criteria despite enrichment for PI3KCA pathway activation positive tumors (<xref ref-type="bibr" rid="B44">44</xref>). In phase I trials of advanced solid tumors including NSCLC, pilaralisib, an oral pan-class I PI3K inhibitor, has shown acceptable toxicity profile both as a single agent and in combination with EGFR inhibitors with preliminary efficacy limited to monotherapy use (<xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B70">70</xref>). PX-866, an irreversible pan-isoform inhibitor of PI3K, failed to show benefit in terms of PFS and OS in a randomized phase II trial in combination with docetaxel compared to placebo (<xref ref-type="bibr" rid="B45">45</xref>). Trials investigating other selective PI3K inhibitors such as taselisib (NCT02785913, NCT02389842, NCT02154490, NCT02465060) and pictilisib (NCT01493843, NCT02389842) are currently ongoing both as single agents and in combination with chemotherapy.</p>
</sec>
<sec id="S5">
<title>Rb1 and Cyclin-Dependent Kinases (CDK)</title>
<p>The <italic>Rb1</italic> pathway is also commonly disrupted in various cancers. In association with D-type CDK, CDK4 and CDK6 promote cell cycle progression from the G1 to S phase <italic>via</italic> phosphorylation of the tumor suppressor <italic>Rb1</italic>. P16, a tumor suppressor protein encoded by <italic>CDKN2A</italic>, also influences this pathway through its negative regulation of CDK4 and CDK6, which ultimately causes inhibition of Rb phosphorylation. Once phosphorylated, Rb is rendered inactive, driving cells into synthesis thus contributing to oncogenesis. Deregulation of this pathway occurs as a result of various mechanisms in SCC including <italic>CDKN2A</italic> inactivation <italic>via</italic> promoter methylation, deletions, and mutations, <italic>Rb</italic> mutations and deletions, and <italic>CDK</italic> amplifications (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B71">71</xref>&#x02013;<xref ref-type="bibr" rid="B74">74</xref>). Furthermore, preclinical data suggest activity of CDK inhibitors in lung cancer xenograft models, and therefore, CDK4/6 inhibitors are currently under investigation for the treatment of advanced lung cancers (<xref ref-type="bibr" rid="B74">74</xref>). In a phase II trial, Gopalan et al. found no responses to palbociclib, a highly specific CDK4/6 inhibitor, in patients with advanced lung cancers and negative p16 expression by immunohistochemistry (<xref ref-type="bibr" rid="B46">46</xref>). Interestingly, approximately half of evaluable patients had stable disease (SD) suggesting treatment may induce replicative senescence. Abemaciclib, another CDK4/6 inhibitor, showed acceptable toxicity profile and preliminary efficacy in a phase I trial of multiple tumor types, including NSCLC (<xref ref-type="bibr" rid="B47">47</xref>). Further trials investigating these agents are currently underway (NCT02411591, NCT02450539, NCT02152631, NCT02079636, NCT02022982, NCT02389842, NCT02897375, NCT02785939).</p>
</sec>
<sec id="S6">
<title>Discoidin Domain Receptor Tyrosine Kinase 2</title>
<p>Discoidin domain receptor tyrosine kinase 2 is a widely expressed receptor tyrosine kinase (RTK) in normal cells that is activated through its interaction with various types of extracellular matrix protein collagen. Once activated by ligand binding and phosphorylation, DDR2 has been shown to promote various cellular functions such as migration, differentiation, proliferation, and survival (<xref ref-type="bibr" rid="B75">75</xref>). This RTK has been proposed as a potential treatment target in various cancers. Sequencing data has in fact shown mutations in the kinase domain of <italic>DDR2</italic> in approximately 1&#x02013;4% of SCC (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Furthermore, <italic>in vitro</italic> studies have also demonstrated that cells harboring these mutations are sensitive to silencing of DDR2 by RNA interference. Multikinase inhibitors have been found to have <italic>DDR2</italic> directed activity in cell lines (<xref ref-type="bibr" rid="B76">76</xref>). Dasatinib, a multikinase inhibitor that targets <italic>BCR-ABL</italic>, Src family, c-KIT, PDGFR-&#x003B2;, and ephrin receptor approved for the treatment of chronic myelogenous leukemia (CML), has been investigated for the treatment of NSCLC. Pitini et al. reported a case of a patient with <italic>DDR2</italic> mutated SCC who presented a nearly complete response following treatment with dasatinib for a concurrent CML (<xref ref-type="bibr" rid="B77">77</xref>). In a phase II trial, this agent demonstrated moderate clinical activity in patients with unselected treatment naive advanced NSCLC (<xref ref-type="bibr" rid="B48">48</xref>). Its use was however limited by significant toxicity, in particular pleural effusion. Notably, one patient responded markedly to treatment with four others showing prolonged SD, suggesting potential benefit in a subset of patients. Unfortunately, investigators failed to identify a predictive biomarker in this subpopulation of responders. Another phase II trial of dasatinib in combination with erlotinib in heavily pretreated NSCLC showed modest efficacy with two patients having PR, one with an <italic>EGFR</italic> mutated adenocarcinoma and one with SCC (<xref ref-type="bibr" rid="B49">49</xref>). It is however challenging to estimate the antitumor activity of dasatinib in this setting as responses are more likely related to erlotinib.</p>
</sec>
<sec id="S7">
<title>Mesenchymal-to-Epithelial Transition</title>
<p>The proto-oncogene <italic>MET</italic> is disrupted in various cancers including NSCLC (<xref ref-type="bibr" rid="B78">78</xref>). It encodes a RTK that, once activated by its ligand hepatocyte growth factor, promotes downstream signaling <italic>via</italic> multiple pathways such as PI3KCA, AKT, signal transducer and activator of transcription 3, and mitogen-activated protein kinase (<xref ref-type="bibr" rid="B79">79</xref>). Various activating alterations in <italic>MET</italic> have been reported in NSCLC. For example, <italic>MET</italic> amplification has been reported in approximately 6&#x02013;10% of SCC, while mutations, particularly in exon 14, are more common in adenocarcinomas (<xref ref-type="bibr" rid="B23">23</xref>). Once upregulated, MET signaling contributes to cell survival, invasion, migration, and proliferation (<xref ref-type="bibr" rid="B79">79</xref>). Clinically, <italic>MET</italic> amplification has been linked to <italic>EGFR</italic> TKI resistance and poor prognosis (<xref ref-type="bibr" rid="B80">80</xref>). Cells harboring alterations in this pathway were found to be responsive to MET inhibitors that are commonly used in other tumor types such as crizotinib and cabozantinib (<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B82">82</xref>). Several clinical trials have investigated various TKI with MET directed activity for the treatment of advanced NSCLC with disappointing results in the SCC subpopulation so far (<xref ref-type="bibr" rid="B50">50</xref>&#x02013;<xref ref-type="bibr" rid="B53">53</xref>). For example, onartuzumab, a monoclonal antibody directed against MET, failed to show significant antitumor activity in a phase II trial in combination with platinum-doublet chemotherapy (<xref ref-type="bibr" rid="B50">50</xref>). Moreover, a phase III trial of onartuzumab in combination with erlotinib was terminated early due to futility in terms of its primary outcome (OS) despite selection of patients with positive MET expression by immunohistochemistry (<xref ref-type="bibr" rid="B52">52</xref>). Tivantinib, a small-molecule MET inhibitor, showed modest antitumor activity in combination with erlotinib in unselected NSCLC (<xref ref-type="bibr" rid="B51">51</xref>). In subgroup analysis, benefit was however mostly noted in <italic>KRAS</italic> mutated patients and the subsequent phase III trial enrolled only non-squamous histology (<xref ref-type="bibr" rid="B83">83</xref>). Finally, identifying responding subpopulations represents a significant challenge in the development of these agents. In fact, selection of patients across trials has been inconsistent, with no clear definition of <italic>MET</italic> enriched populations. Overexpression has been defined using various methods including protein overexpression by immunohistochemistry, gene copy-number gain, and amplification by fluorescent <italic>in situ</italic> hybridization. Despite these challenges, multiple MET-directed molecules are currently under investigation for advanced NSCLC, including SCC (NCT02499614, NCT02034981, NCT00585195, NCT02925104, NCT02414139, NCT02929290, NCT02296879, etc).</p>
</sec>
<sec id="S8">
<title>Immune Therapy</title>
<p>In recent years, immunotherapy agents have elicited great interest for the treatment of several tumor types. Various immune checkpoint inhibitors including antibodies directed against cytotoxic T-lymphocyte associated protein 4, programmed cell death protein 1 (PD-1), and programmed death ligand-1 (PD-L1) are under investigation or approved for clinical practice, revolutionizing the approach to lung cancer treatment. Patients diagnosed with SCC in particular have benefited from these advancements, as alternative treatments are sparse, and they have higher mutation burden, which may be associated with benefit. Agents such as nivolumab, pembrolizumab, and atezolizumab have demonstrated improvement in survival outcomes in the second-line setting including in SCC (<xref ref-type="bibr" rid="B84">84</xref>&#x02013;<xref ref-type="bibr" rid="B87">87</xref>). Furthermore, Pembrolizumab showed improvement both PFS and OS for patients with strongly PDL-1-expressing tumors treated in the first-line setting. This was however not the case for first-line nivolumab, another PD-1 inhibitor that used less restrictive PDL-1 selection, which had similar PFS and OS but not superior outcomes (<xref ref-type="bibr" rid="B88">88</xref>) (NCT02041533). Much like targeted agents, the selection of patients seems to be an important factor when choosing the best course of therapy. Unfortunately, a predictive biomarker to guide this decision is lacking with PD-L1 expression status, a promising biomarker for the selection of the subgroup likely to benefit from PD-1 and PD-L1 inhibiting drugs, having shown mixed results so far. For example, in the Checkmate 017 study of nivolumab in advanced pretreated SCC patients, PDL-1 expression was not predictive of benefit and even those without PDL-1 expression derived survival gain (<xref ref-type="bibr" rid="B84">84</xref>). Conversely, PD-L1 expression was predictive in the Checkmate 057 trial of nivolumab in a similar setting in non-squamous NSCLC (<xref ref-type="bibr" rid="B85">85</xref>). Finally, smoking status, a simple clinical characteristic, could also represent a possible predictive marker of response.</p>
</sec>
<sec id="S9">
<title>Conclusion</title>
<p>SCC represents complex tumors with alterations in various interacting pathways (<xref ref-type="bibr" rid="B14">14</xref>). Despite the current wealth of available molecular data and a vast array of clinical trial results, multiple challenges remain in the development of targeted therapies for this cancer. One recurring obstacle is the definition of subgroups that derive optimal benefit from investigational agents. With the current understanding of NSCLC now refined according to molecular profiles, individual subpopulations represent rare tumor types limiting their accrual into traditionally designed clinical trials. The revolutionized classification of lung cancer therefore requires an equally novel approach to clinical trial design. In fact, a growing number of &#x0201C;master protocols&#x0201D; with innovative schemes such as &#x0201C;basket&#x0201D; and &#x0201C;umbrella&#x0201D; biomarker-driven trials have been completed or are currently underway (<xref ref-type="bibr" rid="B89">89</xref>, <xref ref-type="bibr" rid="B90">90</xref>) (NCT01042379). The LUNG-MAP trial, one such biomarker-based master protocol, is currently ongoing in multiple centers (<xref ref-type="bibr" rid="B90">90</xref>). Enrolled patients with advanced SCC are assigned to treatment arms according to detected targetable mutations identified through a comprehensive genomic profiling platform. Targeted agents such as taselisib, palbociclib, talazoparib, ABBV-399, rilotumumab, and AZD4547 have been included in this study. Furthermore, patients without actionable mutations are included in immune therapy sub-studies investigating various immune checkpoint inhibitors such as nivolumab, ipilimumab, durvalumab, and tremelimumab. Considering the dismal prognosis of patients diagnosed with advanced SCC, a greater focus on drug development and clinical trials remains of upmost importance to improve outcomes in this disease.</p>
</sec>
<sec id="S10" sec-type="author-contributor">
<title>Author Contributions</title>
<p>SS researched data for review topic, drafted manuscript, and edited manuscript revisions. NL researched data for review topic and edited manuscript.</p>
</sec>
<sec id="S11">
<title>Conflict of Interest Statement</title>
<p>SS: none, NL: none known (honoraria for CME from Pfizer, Merck; travel funding for CME from Astrazeneca).</p>
</sec>
</body>
<back>
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