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<titleStmt>
<title xml:lang="en">Randomized Phase II Study of Duligotuzumab (MEHD7945A) vs. Cetuximab in Squamous Cell Carcinoma of the Head and Neck (MEHGAN Study)</title>
<author>
<name sortKey="Fayette, Jerome" sort="Fayette, Jerome" uniqKey="Fayette J" first="Jérôme" last="Fayette">Jérôme Fayette</name>
<affiliation>
<nlm:aff id="aff1">
<institution>Centre Léon Bérard, Université de Lyon</institution>
,
<addr-line>Lyon</addr-line>
,
<country>France</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Wirth, Lori" sort="Wirth, Lori" uniqKey="Wirth L" first="Lori" last="Wirth">Lori Wirth</name>
<affiliation>
<nlm:aff id="aff2">
<institution>Massachusetts General Hospital</institution>
,
<addr-line>Boston, MA</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Oprean, Cristina" sort="Oprean, Cristina" uniqKey="Oprean C" first="Cristina" last="Oprean">Cristina Oprean</name>
<affiliation>
<nlm:aff id="aff3">
<institution>Oncomed SRL</institution>
,
<addr-line>Timisoara</addr-line>
,
<country>Romania</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Udrea, Anghel" sort="Udrea, Anghel" uniqKey="Udrea A" first="Anghel" last="Udrea">Anghel Udrea</name>
<affiliation>
<nlm:aff id="aff4">
<institution>Medisprof SRL</institution>
,
<addr-line>Cluj-Napoca</addr-line>
,
<country>Romania</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Jimeno, Antonio" sort="Jimeno, Antonio" uniqKey="Jimeno A" first="Antonio" last="Jimeno">Antonio Jimeno</name>
<affiliation>
<nlm:aff id="aff5">
<institution>University of Colorado Cancer Center</institution>
,
<addr-line>Aurora, CO</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Rischin, Danny" sort="Rischin, Danny" uniqKey="Rischin D" first="Danny" last="Rischin">Danny Rischin</name>
<affiliation>
<nlm:aff id="aff6">
<institution>Peter MacCallum Cancer Centre, University of Melbourne</institution>
,
<addr-line>Melbourne, VIC</addr-line>
,
<country>Australia</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Nutting, Christopher" sort="Nutting, Christopher" uniqKey="Nutting C" first="Christopher" last="Nutting">Christopher Nutting</name>
<affiliation>
<nlm:aff id="aff7">
<institution>Royal Marsden NHS Trust, The Institute of Cancer Research London</institution>
,
<addr-line>Sutton</addr-line>
,
<country>UK</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Harari, Paul M" sort="Harari, Paul M" uniqKey="Harari P" first="Paul M." last="Harari">Paul M. Harari</name>
<affiliation>
<nlm:aff id="aff8">
<institution>University of Wisconsin Hospital and Clinics</institution>
,
<addr-line>Madison, WI</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Csoszi, Tibor" sort="Csoszi, Tibor" uniqKey="Csoszi T" first="Tibor" last="Csoszi">Tibor Csoszi</name>
<affiliation>
<nlm:aff id="aff9">
<institution>Jász-Nagykun-Szolnok Megyei Hetényi Géza Kórház</institution>
,
<addr-line>Szolnok</addr-line>
,
<country>Hungary</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Cernea, Dana" sort="Cernea, Dana" uniqKey="Cernea D" first="Dana" last="Cernea">Dana Cernea</name>
<affiliation>
<nlm:aff id="aff10">
<institution>Institutul Oncologic Prof. Dr. Ion Chiricuta Cluj-Napoca</institution>
,
<addr-line>Cluj-Napoca</addr-line>
,
<country>Romania</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="O Rien, Paul" sort="O Rien, Paul" uniqKey="O Rien P" first="Paul" last="O Rien">Paul O Rien</name>
<affiliation>
<nlm:aff id="aff11">
<institution>Medical University of South Carolina</institution>
,
<addr-line>Charleston, SC</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Hanley, William D" sort="Hanley, William D" uniqKey="Hanley W" first="William D." last="Hanley">William D. Hanley</name>
<affiliation>
<nlm:aff id="aff12">
<institution>Genentech</institution>
,
<addr-line>South San Francisco, CA</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kapp, Amy V" sort="Kapp, Amy V" uniqKey="Kapp A" first="Amy V." last="Kapp">Amy V. Kapp</name>
<affiliation>
<nlm:aff id="aff12">
<institution>Genentech</institution>
,
<addr-line>South San Francisco, CA</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Anderson, Maria" sort="Anderson, Maria" uniqKey="Anderson M" first="Maria" last="Anderson">Maria Anderson</name>
<affiliation>
<nlm:aff id="aff12">
<institution>Genentech</institution>
,
<addr-line>South San Francisco, CA</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Penuel, Elicia" sort="Penuel, Elicia" uniqKey="Penuel E" first="Elicia" last="Penuel">Elicia Penuel</name>
<affiliation>
<nlm:aff id="aff12">
<institution>Genentech</institution>
,
<addr-line>South San Francisco, CA</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Mccall, Bruce" sort="Mccall, Bruce" uniqKey="Mccall B" first="Bruce" last="Mccall">Bruce Mccall</name>
<affiliation>
<nlm:aff id="aff12">
<institution>Genentech</institution>
,
<addr-line>South San Francisco, CA</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Pirzkall, Andrea" sort="Pirzkall, Andrea" uniqKey="Pirzkall A" first="Andrea" last="Pirzkall">Andrea Pirzkall</name>
<affiliation>
<nlm:aff id="aff12">
<institution>Genentech</institution>
,
<addr-line>South San Francisco, CA</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Vermorken, Jan B" sort="Vermorken, Jan B" uniqKey="Vermorken J" first="Jan B." last="Vermorken">Jan B. Vermorken</name>
<affiliation>
<nlm:aff id="aff13">
<institution>Antwerp University Hospital</institution>
,
<addr-line>Edegem</addr-line>
,
<country>Belgium</country>
</nlm:aff>
</affiliation>
</author>
</titleStmt>
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<idno type="wicri:source">PMC</idno>
<idno type="pmid">27843803</idno>
<idno type="pmc">5086582</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5086582</idno>
<idno type="RBID">PMC:5086582</idno>
<idno type="doi">10.3389/fonc.2016.00232</idno>
<date when="2016">2016</date>
<idno type="wicri:Area/Pmc/Corpus">002508</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">002508</idno>
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<analytic>
<title xml:lang="en" level="a" type="main">Randomized Phase II Study of Duligotuzumab (MEHD7945A) vs. Cetuximab in Squamous Cell Carcinoma of the Head and Neck (MEHGAN Study)</title>
<author>
<name sortKey="Fayette, Jerome" sort="Fayette, Jerome" uniqKey="Fayette J" first="Jérôme" last="Fayette">Jérôme Fayette</name>
<affiliation>
<nlm:aff id="aff1">
<institution>Centre Léon Bérard, Université de Lyon</institution>
,
<addr-line>Lyon</addr-line>
,
<country>France</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Wirth, Lori" sort="Wirth, Lori" uniqKey="Wirth L" first="Lori" last="Wirth">Lori Wirth</name>
<affiliation>
<nlm:aff id="aff2">
<institution>Massachusetts General Hospital</institution>
,
<addr-line>Boston, MA</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Oprean, Cristina" sort="Oprean, Cristina" uniqKey="Oprean C" first="Cristina" last="Oprean">Cristina Oprean</name>
<affiliation>
<nlm:aff id="aff3">
<institution>Oncomed SRL</institution>
,
<addr-line>Timisoara</addr-line>
,
<country>Romania</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Udrea, Anghel" sort="Udrea, Anghel" uniqKey="Udrea A" first="Anghel" last="Udrea">Anghel Udrea</name>
<affiliation>
<nlm:aff id="aff4">
<institution>Medisprof SRL</institution>
,
<addr-line>Cluj-Napoca</addr-line>
,
<country>Romania</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Jimeno, Antonio" sort="Jimeno, Antonio" uniqKey="Jimeno A" first="Antonio" last="Jimeno">Antonio Jimeno</name>
<affiliation>
<nlm:aff id="aff5">
<institution>University of Colorado Cancer Center</institution>
,
<addr-line>Aurora, CO</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Rischin, Danny" sort="Rischin, Danny" uniqKey="Rischin D" first="Danny" last="Rischin">Danny Rischin</name>
<affiliation>
<nlm:aff id="aff6">
<institution>Peter MacCallum Cancer Centre, University of Melbourne</institution>
,
<addr-line>Melbourne, VIC</addr-line>
,
<country>Australia</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Nutting, Christopher" sort="Nutting, Christopher" uniqKey="Nutting C" first="Christopher" last="Nutting">Christopher Nutting</name>
<affiliation>
<nlm:aff id="aff7">
<institution>Royal Marsden NHS Trust, The Institute of Cancer Research London</institution>
,
<addr-line>Sutton</addr-line>
,
<country>UK</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Harari, Paul M" sort="Harari, Paul M" uniqKey="Harari P" first="Paul M." last="Harari">Paul M. Harari</name>
<affiliation>
<nlm:aff id="aff8">
<institution>University of Wisconsin Hospital and Clinics</institution>
,
<addr-line>Madison, WI</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Csoszi, Tibor" sort="Csoszi, Tibor" uniqKey="Csoszi T" first="Tibor" last="Csoszi">Tibor Csoszi</name>
<affiliation>
<nlm:aff id="aff9">
<institution>Jász-Nagykun-Szolnok Megyei Hetényi Géza Kórház</institution>
,
<addr-line>Szolnok</addr-line>
,
<country>Hungary</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Cernea, Dana" sort="Cernea, Dana" uniqKey="Cernea D" first="Dana" last="Cernea">Dana Cernea</name>
<affiliation>
<nlm:aff id="aff10">
<institution>Institutul Oncologic Prof. Dr. Ion Chiricuta Cluj-Napoca</institution>
,
<addr-line>Cluj-Napoca</addr-line>
,
<country>Romania</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="O Rien, Paul" sort="O Rien, Paul" uniqKey="O Rien P" first="Paul" last="O Rien">Paul O Rien</name>
<affiliation>
<nlm:aff id="aff11">
<institution>Medical University of South Carolina</institution>
,
<addr-line>Charleston, SC</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Hanley, William D" sort="Hanley, William D" uniqKey="Hanley W" first="William D." last="Hanley">William D. Hanley</name>
<affiliation>
<nlm:aff id="aff12">
<institution>Genentech</institution>
,
<addr-line>South San Francisco, CA</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Kapp, Amy V" sort="Kapp, Amy V" uniqKey="Kapp A" first="Amy V." last="Kapp">Amy V. Kapp</name>
<affiliation>
<nlm:aff id="aff12">
<institution>Genentech</institution>
,
<addr-line>South San Francisco, CA</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Anderson, Maria" sort="Anderson, Maria" uniqKey="Anderson M" first="Maria" last="Anderson">Maria Anderson</name>
<affiliation>
<nlm:aff id="aff12">
<institution>Genentech</institution>
,
<addr-line>South San Francisco, CA</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Penuel, Elicia" sort="Penuel, Elicia" uniqKey="Penuel E" first="Elicia" last="Penuel">Elicia Penuel</name>
<affiliation>
<nlm:aff id="aff12">
<institution>Genentech</institution>
,
<addr-line>South San Francisco, CA</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Mccall, Bruce" sort="Mccall, Bruce" uniqKey="Mccall B" first="Bruce" last="Mccall">Bruce Mccall</name>
<affiliation>
<nlm:aff id="aff12">
<institution>Genentech</institution>
,
<addr-line>South San Francisco, CA</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Pirzkall, Andrea" sort="Pirzkall, Andrea" uniqKey="Pirzkall A" first="Andrea" last="Pirzkall">Andrea Pirzkall</name>
<affiliation>
<nlm:aff id="aff12">
<institution>Genentech</institution>
,
<addr-line>South San Francisco, CA</addr-line>
,
<country>USA</country>
</nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Vermorken, Jan B" sort="Vermorken, Jan B" uniqKey="Vermorken J" first="Jan B." last="Vermorken">Jan B. Vermorken</name>
<affiliation>
<nlm:aff id="aff13">
<institution>Antwerp University Hospital</institution>
,
<addr-line>Edegem</addr-line>
,
<country>Belgium</country>
</nlm:aff>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Frontiers in Oncology</title>
<idno type="eISSN">2234-943X</idno>
<imprint>
<date when="2016">2016</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<sec id="ST1">
<title>Background</title>
<p>Duligotuzumab, a novel dual-action humanized IgG1 antibody that blocks ligand binding to epidermal growth factor receptor (EGFR) and human epidermal growth factor receptor 3 (HER3), inhibits signaling from all ligand-dependent HER dimers, and can elicit antibody-dependent cell-mediated cytotoxicity. High tumor-expression of neuregulin 1 (NRG1), a ligand to HER3, may enhance sensitivity to duligotuzumab.</p>
</sec>
<sec id="ST2">
<title>Methods</title>
<p>This multicenter, open-label, randomized phase II study (MEHGAN) evaluated drug efficacy in patients with recurrent/metastatic (R/M) squamous cell carcinoma of the head and neck (SCCHN) progressive on/after chemotherapy and among patients with NRG1-high tumors. Patients received duligotuzumab (1100 mg IV, q2w) or cetuximab (400 mg/m
<sup>2</sup>
load, 250 mg/m
<sup>2</sup>
IV, q1w) until progression or intolerable toxicity. Tumor samples were assayed for biomarkers [
<italic>NRG1, ERBB3</italic>
, and human papillomavirus (HPV) status].</p>
</sec>
<sec id="ST3">
<title>Results</title>
<p>Patients (
<italic>N</italic>
 = 121) were randomized (duligotuzumab:cetuximab; 59:62), median age 62 years; ECOG 0–2. Both arms (duligotuzumab vs. cetuximab, respectively) showed comparable progression-free survival [4.2 vs. 4.0 months; HR: 1.23 (90% confidence interval (CI): 0.89–1.70)], overall survival [7.2 vs. 8.7 months; HR 1.15 (90% CI: 0.81–1.63)], and objective response rate (12 vs. 14.5%), with no difference between patients with
<italic>NRG1</italic>
-high tumors or
<italic>ERBB3</italic>
-low tumors. Responses in both arms were confined to HPV-negative patients. Grade ≥3 adverse events (AEs) (duligotuzumab vs. cetuximab, respectively) included infections (22 vs. 11.5%) and GI disorders (17 vs. 7%), contributing to higher rates of serious AEs (41 vs. 29.5%). Metabolic disorders were less frequent with duligotuzumab (10 vs. 16%); any grade rash-related events were less with duligotuzumab (49 vs. 67%).</p>
</sec>
<sec id="ST4">
<title>Conclusion</title>
<p>While several lines of preclinical evidence had supported the premise that the blockade of HER3 in addition to that of EGFR may improve outcomes for patients with R/M SCCHN overall or specifically in those patients whose tumors express high levels of
<italic>NRG1</italic>
, this study provided definitive clinical evidence refuting this hypothesis. Duligotuzumab did not improve patient outcomes in comparison to cetuximab despite frequent expression of
<italic>NRG1</italic>
. These data indicate that inhibition of EGFR alone is sufficient to block EGFR–HER3 signaling, suggesting that HER2 plays a minimal role in this disease. Extensive biomarker analyses further show that HPV-negative SCCHN but not HPV-positive SCCHN are most likely to respond to EGFR blockage by cetuximab or duligotuzumab.</p>
</sec>
</div>
</front>
<back>
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<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Front Oncol</journal-id>
<journal-id journal-id-type="iso-abbrev">Front Oncol</journal-id>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Oncology</journal-title>
</journal-title-group>
<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="pmid">27843803</article-id>
<article-id pub-id-type="pmc">5086582</article-id>
<article-id pub-id-type="doi">10.3389/fonc.2016.00232</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Clinical Trial</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Randomized Phase II Study of Duligotuzumab (MEHD7945A) vs. Cetuximab in Squamous Cell Carcinoma of the Head and Neck (MEHGAN Study)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Fayette</surname>
<given-names>Jérôme</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="cor1">*</xref>
<uri xlink:type="simple" xlink:href="http://frontiersin.org/people/u/144168"></uri>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wirth</surname>
<given-names>Lori</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Oprean</surname>
<given-names>Cristina</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://frontiersin.org/people/u/374306"></uri>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Udrea</surname>
<given-names>Anghel</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jimeno</surname>
<given-names>Antonio</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rischin</surname>
<given-names>Danny</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Nutting</surname>
<given-names>Christopher</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Harari</surname>
<given-names>Paul M.</given-names>
</name>
<xref ref-type="aff" rid="aff8">
<sup>8</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Csoszi</surname>
<given-names>Tibor</given-names>
</name>
<xref ref-type="aff" rid="aff9">
<sup>9</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://frontiersin.org/people/u/374596"></uri>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cernea</surname>
<given-names>Dana</given-names>
</name>
<xref ref-type="aff" rid="aff10">
<sup>10</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://frontiersin.org/people/u/375828"></uri>
</contrib>
<contrib contrib-type="author">
<name>
<surname>O’Brien</surname>
<given-names>Paul</given-names>
</name>
<xref ref-type="aff" rid="aff11">
<sup>11</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hanley</surname>
<given-names>William D.</given-names>
</name>
<xref ref-type="aff" rid="aff12">
<sup>12</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kapp</surname>
<given-names>Amy V.</given-names>
</name>
<xref ref-type="aff" rid="aff12">
<sup>12</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Anderson</surname>
<given-names>Maria</given-names>
</name>
<xref ref-type="aff" rid="aff12">
<sup>12</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Penuel</surname>
<given-names>Elicia</given-names>
</name>
<xref ref-type="aff" rid="aff12">
<sup>12</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>McCall</surname>
<given-names>Bruce</given-names>
</name>
<xref ref-type="aff" rid="aff12">
<sup>12</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pirzkall</surname>
<given-names>Andrea</given-names>
</name>
<xref ref-type="aff" rid="aff12">
<sup>12</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vermorken</surname>
<given-names>Jan B.</given-names>
</name>
<xref ref-type="aff" rid="aff13">
<sup>13</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://frontiersin.org/people/u/147694"></uri>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Centre Léon Bérard, Université de Lyon</institution>
,
<addr-line>Lyon</addr-line>
,
<country>France</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Massachusetts General Hospital</institution>
,
<addr-line>Boston, MA</addr-line>
,
<country>USA</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Oncomed SRL</institution>
,
<addr-line>Timisoara</addr-line>
,
<country>Romania</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Medisprof SRL</institution>
,
<addr-line>Cluj-Napoca</addr-line>
,
<country>Romania</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>University of Colorado Cancer Center</institution>
,
<addr-line>Aurora, CO</addr-line>
,
<country>USA</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Peter MacCallum Cancer Centre, University of Melbourne</institution>
,
<addr-line>Melbourne, VIC</addr-line>
,
<country>Australia</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Royal Marsden NHS Trust, The Institute of Cancer Research London</institution>
,
<addr-line>Sutton</addr-line>
,
<country>UK</country>
</aff>
<aff id="aff8">
<sup>8</sup>
<institution>University of Wisconsin Hospital and Clinics</institution>
,
<addr-line>Madison, WI</addr-line>
,
<country>USA</country>
</aff>
<aff id="aff9">
<sup>9</sup>
<institution>Jász-Nagykun-Szolnok Megyei Hetényi Géza Kórház</institution>
,
<addr-line>Szolnok</addr-line>
,
<country>Hungary</country>
</aff>
<aff id="aff10">
<sup>10</sup>
<institution>Institutul Oncologic Prof. Dr. Ion Chiricuta Cluj-Napoca</institution>
,
<addr-line>Cluj-Napoca</addr-line>
,
<country>Romania</country>
</aff>
<aff id="aff11">
<sup>11</sup>
<institution>Medical University of South Carolina</institution>
,
<addr-line>Charleston, SC</addr-line>
,
<country>USA</country>
</aff>
<aff id="aff12">
<sup>12</sup>
<institution>Genentech</institution>
,
<addr-line>South San Francisco, CA</addr-line>
,
<country>USA</country>
</aff>
<aff id="aff13">
<sup>13</sup>
<institution>Antwerp University Hospital</institution>
,
<addr-line>Edegem</addr-line>
,
<country>Belgium</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Elise Kohn, National Cancer Institute, USA</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Susumu Okano, National Cancer Centre Hospital East, Japan; Kenji Okami, Tokai University, Japan</p>
</fn>
<corresp content-type="corresp" id="cor1">*Correspondence: Jérôme Fayette,
<email>jerome.fayette@lyon.unicancer.fr</email>
</corresp>
<fn fn-type="other" id="fn001">
<p>Specialty section: This article was submitted to Head and Neck Cancer, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>31</day>
<month>10</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>6</volume>
<elocation-id>232</elocation-id>
<history>
<date date-type="received">
<day>29</day>
<month>8</month>
<year>2016</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>10</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2016 Fayette, Wirth, Oprean, Udrea, Jimeno, Rischin, Nutting, Harari, Csoszi, Cernea, O’Brien, Hanley, Kapp, Anderson, Penuel, McCall, Pirzkall and Vermorken.</copyright-statement>
<copyright-year>2016</copyright-year>
<copyright-holder>Fayette, Wirth, Oprean, Udrea, Jimeno, Rischin, Nutting, Harari, Csoszi, Cernea, O’Brien, Hanley, Kapp, Anderson, Penuel, McCall, Pirzkall and Vermorken</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-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.</license-p>
</license>
</permissions>
<abstract abstract-type="executive-summary">
<sec id="ST1">
<title>Background</title>
<p>Duligotuzumab, a novel dual-action humanized IgG1 antibody that blocks ligand binding to epidermal growth factor receptor (EGFR) and human epidermal growth factor receptor 3 (HER3), inhibits signaling from all ligand-dependent HER dimers, and can elicit antibody-dependent cell-mediated cytotoxicity. High tumor-expression of neuregulin 1 (NRG1), a ligand to HER3, may enhance sensitivity to duligotuzumab.</p>
</sec>
<sec id="ST2">
<title>Methods</title>
<p>This multicenter, open-label, randomized phase II study (MEHGAN) evaluated drug efficacy in patients with recurrent/metastatic (R/M) squamous cell carcinoma of the head and neck (SCCHN) progressive on/after chemotherapy and among patients with NRG1-high tumors. Patients received duligotuzumab (1100 mg IV, q2w) or cetuximab (400 mg/m
<sup>2</sup>
load, 250 mg/m
<sup>2</sup>
IV, q1w) until progression or intolerable toxicity. Tumor samples were assayed for biomarkers [
<italic>NRG1, ERBB3</italic>
, and human papillomavirus (HPV) status].</p>
</sec>
<sec id="ST3">
<title>Results</title>
<p>Patients (
<italic>N</italic>
 = 121) were randomized (duligotuzumab:cetuximab; 59:62), median age 62 years; ECOG 0–2. Both arms (duligotuzumab vs. cetuximab, respectively) showed comparable progression-free survival [4.2 vs. 4.0 months; HR: 1.23 (90% confidence interval (CI): 0.89–1.70)], overall survival [7.2 vs. 8.7 months; HR 1.15 (90% CI: 0.81–1.63)], and objective response rate (12 vs. 14.5%), with no difference between patients with
<italic>NRG1</italic>
-high tumors or
<italic>ERBB3</italic>
-low tumors. Responses in both arms were confined to HPV-negative patients. Grade ≥3 adverse events (AEs) (duligotuzumab vs. cetuximab, respectively) included infections (22 vs. 11.5%) and GI disorders (17 vs. 7%), contributing to higher rates of serious AEs (41 vs. 29.5%). Metabolic disorders were less frequent with duligotuzumab (10 vs. 16%); any grade rash-related events were less with duligotuzumab (49 vs. 67%).</p>
</sec>
<sec id="ST4">
<title>Conclusion</title>
<p>While several lines of preclinical evidence had supported the premise that the blockade of HER3 in addition to that of EGFR may improve outcomes for patients with R/M SCCHN overall or specifically in those patients whose tumors express high levels of
<italic>NRG1</italic>
, this study provided definitive clinical evidence refuting this hypothesis. Duligotuzumab did not improve patient outcomes in comparison to cetuximab despite frequent expression of
<italic>NRG1</italic>
. These data indicate that inhibition of EGFR alone is sufficient to block EGFR–HER3 signaling, suggesting that HER2 plays a minimal role in this disease. Extensive biomarker analyses further show that HPV-negative SCCHN but not HPV-positive SCCHN are most likely to respond to EGFR blockage by cetuximab or duligotuzumab.</p>
</sec>
</abstract>
<kwd-group>
<kwd>NRG1</kwd>
<kwd>HER3</kwd>
<kwd>EGFR</kwd>
<kwd>SCCHN</kwd>
<kwd>HPV</kwd>
<kwd>duligotuzumab</kwd>
<kwd>MEHD7945A</kwd>
<kwd>cetuximab</kwd>
</kwd-group>
<counts>
<fig-count count="5"></fig-count>
<table-count count="2"></table-count>
<equation-count count="0"></equation-count>
<ref-count count="27"></ref-count>
<page-count count="12"></page-count>
<word-count count="6170"></word-count>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="introduction" id="S1">
<title>Introduction</title>
<p>Multiple members of the HER family receptor tyrosine kinases, including epidermal growth factor receptor (EGFR), HER1, and HER2, are established therapeutic targets in several epithelial malignancies (
<xref rid="B1" ref-type="bibr">1</xref>
). EGFR is a rational focus for squamous cell carcinoma of the head and neck (SCCHN) given the prevalence of its overexpression and crucial role in SCCHN pathogenesis (
<xref rid="B2" ref-type="bibr">2</xref>
,
<xref rid="B3" ref-type="bibr">3</xref>
). Moreover, EGFR is a clinically validated therapeutic target in recurrent/metastatic SCCHN with approval of cetuximab as a single agent (
<xref rid="B4" ref-type="bibr">4</xref>
), concurrent with platinum-based chemotherapy (
<xref rid="B5" ref-type="bibr">5</xref>
), and in combination with radiotherapy in the curative SCCHN setting (
<xref rid="B6" ref-type="bibr">6</xref>
). Many SCCHN patients do not respond to cetuximab therapy, and for those who do, they commonly manifest acquired resistance following prolonged exposure to the drug. These findings have prompted the design of next-generation EGFR inhibitors and approaches that may serve to overcome resistance to cetuximab.</p>
<p>Factors thought to contribute to cetuximab resistance in SCCHN patients include upregulation of ligands for EGFR and human epidermal growth factor receptor 3 (HER3) (
<xref rid="B7" ref-type="bibr">7</xref>
,
<xref rid="B8" ref-type="bibr">8</xref>
), heterodimerization of EGFR and HER2 with HER3 (
<xref rid="B9" ref-type="bibr">9</xref>
), overexpression of HER2 and HER3 (
<xref rid="B10" ref-type="bibr">10</xref>
), and overexpression and aberrant nuclear localization of EGFR (
<xref rid="B11" ref-type="bibr">11</xref>
). Interestingly, a subset of SCCHN cell lines are resistant to anti-EGFR tyrosine kinase inhibitor (TKI) treatment and do not overexpress HER2 but are sensitive to combined anti-EGFR/anti-HER2 TKI inhibition (
<xref rid="B12" ref-type="bibr">12</xref>
). Many of these cell lines were found to have high expression of heregulin (HRG), the ligand binding to HER3, and activation of HER3 signaling. It was hypothesized that such cells may escape the effects of anti-EGFR therapy
<italic>via</italic>
HRG-dependent signaling of a HER2/HER3 dimer. An analysis of >700 tumor samples from patients with non-small cell lung cancer (NSCLC), SCCHN, colorectal, breast, or ovarian cancer found that median HRG mRNA expression is significantly higher in SCCHN tumors than in the other tumor types (
<xref rid="B13" ref-type="bibr">13</xref>
). HRG represents alpha and beta forms of neuregulin 1 (
<xref rid="B14" ref-type="bibr">14</xref>
) and is here forth referred to as NRG1.</p>
<p>Duligotuzumab (MEHD7945A) is a novel dual-action human IgG1 monoclonal antibody that simultaneously targets HER3 and EGFR (
<xref rid="B15" ref-type="bibr">15</xref>
). HER3 is encoded by the
<italic>ERBB3</italic>
gene. Duligotuzumab demonstrated superior activity compared with mono-specific EGFR- or HER3-targeting antibodies in the non-clinical FaDu SCCHN model (
<xref rid="B16" ref-type="bibr">16</xref>
), as well as in human xenograft models derived from SCCHN and NSCLC tumors with acquired resistance to EGFR inhibitors (
<xref rid="B17" ref-type="bibr">17</xref>
). Preliminary evidence of clinical activity included two confirmed partial responses (PRs) in SCCHN patients (
<xref rid="B18" ref-type="bibr">18</xref>
) who had entered the duligotuzumab phase Ia study after progressing on prior therapy, one having relapsed after multiple prior treatment regimens including an EGFR inhibitor. Both patients’ tumors were found to have
<italic>NRG1</italic>
expression near the top of the range observed in the analysis of tumor samples described above.</p>
<p>Taken together, these observations suggested that the addition of HER3 blockade to EGFR blockade with duligotuzumab may improve clinical outcomes in patients with recurrent or metastatic (R/M) SCCHN overall or specifically in those patients whose tumors express high levels of NRG1. This phase II study evaluated the efficacy of duligotuzumab vs. cetuximab in patients with R/M SCCHN progressive on/after chemotherapy and included
<italic>post hoc</italic>
analyses by
<italic>NRG1</italic>
expression levels,
<italic>ERBB3</italic>
expression levels, and human papillomavirus (HPV) status.</p>
</sec>
<sec sec-type="methods" id="S2">
<title>Methods</title>
<sec id="S2-1">
<title>Patients</title>
<p>Eligible patients were ≥18 years of age with histologically confirmed R/M SCCHN who had progressed after one or more lines of treatment, at least one platinum-based regimen for R/M disease, and not suitable for local therapy. Patients with ECOG performance status of 0, 1, or 2, disease measurable per RECIST v1.1, adequate hematologic, renal, or hepatic function, no prior HER targeted therapy with exception of EGFR inhibitor given in upfront setting and as long as discontinued ≥3 months prior to enrollment were included. Patients were excluded if they had nasopharyngeal cancer.</p>
</sec>
<sec id="S2-2">
<title>Study Design</title>
<p>This was a phase II, randomized, multicenter, open-label study with two arms (Figure
<xref ref-type="fig" rid="F1">1</xref>
) assessing duligotuzumab vs. cetuximab in R/M SCCHN patients. Institutional review boards at all participating institutions approved the study protocol. All patients gave written informed consent. The study was conducted according to good clinical practice (GCP), and the Declaration of Helsinki and its amendments, and was registered at
<uri xlink:type="simple" xlink:href="http://ClinicalTrials.gov">http://ClinicalTrials.gov</uri>
, number NCT01577173 (
<xref rid="B19" ref-type="bibr">19</xref>
).</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption>
<p>
<bold>Study design</bold>
.</p>
</caption>
<graphic xlink:href="fonc-06-00232-g001"></graphic>
</fig>
<p>Patients received duligotuzumab, 1100 mg IV, administered every 2 weeks (Arm A), or cetuximab, 400 mg/m
<sup>2</sup>
loading dose, 250 mg/m
<sup>2</sup>
IV, administered weekly (q1w) (Arm B). Patients were randomized to one of the two treatment arms in a 1:1 ratio using an interactive voice response system (IVRS). Stratification factors included ECOG 0/1 vs. 2 and time to platinum failure (≤2 vs. >2 months). Patients were treated with either study drug until disease progression or other unacceptable toxicity. Patients with disease progression on Arm B (cetuximab) could cross over to Arm A (duligotuzumab) upon central confirmation of progressive disease (PD) (RECIST v1.1), and as long as principal eligibility criteria were met.</p>
<p>The primary endpoint was progression-free survival (PFS) by investigator assessment in all randomized patients [intention to treat (ITT) population] and in the subset with highest
<italic>NRG1</italic>
expression in the tumor.
<italic>NRG1</italic>
was assessed by qRT-PCR at Genentech. Secondary objectives included overall survival (OS), overall response rate (ORR), safety/tolerability, and characterization of pharmacokinetics (PKs) and anti-therapeutic antibodies (ATA) from patients treated on Arm A. Exploratory objectives included assessing tumor samples from patients for the prevalence and potential prognostic significance of
<italic>NRG1</italic>
and
<italic>ERBB3</italic>
, and HPV status and its potential association with antitumor activity.</p>
</sec>
<sec id="S2-3">
<title>Safety</title>
<p>Safety was assessed by incidence, nature, severity, and relatedness of adverse events (AEs) and graded for severity (NCI-CTCAE v4.0). All patients who received ≥1 dose of study treatment were included in the safety evaluation. The following events were categorized as of special interest: grade ≥3 events associated with infusion-related reactions (defined as AEs within 24 h of infusion and attributed to study drug), grade ≥3 rash, and grade ≥3 diarrhea.</p>
</sec>
<sec id="S2-4">
<title>Pharmacokinetics</title>
<p>Serum samples were collected at screening, day 1 of cycles 1–8, and treatment completion. Duligotuzumab concentration was determined using a qualified enzyme-linked immunosorbent assay with the minimum quantifiable concentration of 150 ng/mL. PK parameters were derived from non-compartmental analysis (NCA) (WinNonlin version 5.2.1.). A population PK analysis of duligotuzumab from phase Ia study DAF4873g (data on file) demonstrated that body weight has only a minor impact on PK parameters [volume of distribution (Vd) and clearance (CL)], thus supporting that flat dosing would have little effect on duligotuzumab PK variability in comparison with weight-based dosing.</p>
<p>Serum anti-duligotuzumab antibody (ATA) samples were collected prior to duligotuzumab infusion on day 1 of cycles 1–8, and at the study termination visit, and were analyzed using a validated bridging antibody immunoassay that could detect surrogate anti-duligotuzumab positive-control antibody (249 ng/mL) in the absence of duligotuzumab.</p>
</sec>
<sec id="S2-5">
<title>Biomarker Analyses</title>
<p>Mandatory archival (or fresh as available) tumor tissues were evaluated to characterize the disease biology and to identify potential predictive biomarkers for improved outcomes with duligotuzumab compared to cetuximab, with particular attention to the HER3 ligand, NRG1. For
<italic>NRG1</italic>
and receptor tyrosine kinase erbB-3 (
<italic>ERBB3</italic>
), RNA expressions were measured by both qRT-PCR and by dual-colored
<italic>in situ</italic>
hybridization (ISH). Additionally, HPV detection was performed by qRT-PCR.</p>
</sec>
<sec id="S2-6">
<title>Efficacy</title>
<p>Tumor assessments were performed at screening and during every 6 weeks of study treatment (e.g., prior to cycle 4 and every 6 weeks thereafter), and at the treatment completion visit for patients who discontinue for reason other than PD. Response assessments were performed by the investigators according to RECIST v1.1. The primary endpoint was PFS, defined as the time from randomization to the first occurrence of progression or death, whichever occurred first. Secondary endpoints included OS (defined as the time from randomization to death) and objective response defined as complete response (CR) or PR confirmed ≥4 weeks after initial documentation. Unless stated otherwise, analyses excluded data after crossover.</p>
</sec>
<sec id="S2-7">
<title>Sample Size</title>
<p>This trial was designed to obtain informative estimates of the PFS hazard ratios in the overall patient population, and the NRG1-high patient population to enable further decision making, without adequate power to detect the minimum clinically meaningful difference between the treatment arms at a statistically significant type 1 error level (α = 0.05). Therefore, the utility of formal hypothesis testing was limited because statistically negative outcomes did not necessarily exclude clinically significant treatment effects. Consequently, 90% CIs for the PFS hazard ratios were calculated. In order to observe 90 disease progression or death events in all patients and 35 disease progression or death events in the NRG1-high patients, the study was planned to enroll 110 patients, assuming the prevalence of NRG1-high patients was 40%. For a lower prevalence, additional patients could be enrolled to meet the required number of disease progression or death events in the HRG-high patient population.</p>
</sec>
<sec id="S2-8">
<title>Statistical Analysis</title>
<p>Safety analyses included all patients who received any amount of study treatment. Efficacy analyses were conducted on all randomized patients and all randomized NRG1-high patients. For each time-to-event endpoint, Kaplan–Meier analysis was used to estimate the medians in each treatment arm, and Cox regression was used to estimate the hazard ratio.</p>
</sec>
</sec>
<sec id="S3">
<title>Results</title>
<sec id="S3-1">
<title>Patient Population</title>
<p>From July 13, 2012 to July 09, 2013, 121 patients were randomized (59 Arm A, 62 Arm B), of whom 120 were evaluable for safety, 108 for biomarker analysis, and 22 during the crossover phase. The cutoff date for analysis was March 02, 2015, resulting in a minimum follow-up of 19.8 months.</p>
<p>Key baseline characteristics included the stratification factors, ECOG, and time to PD, since most recent platinum treatment were well-balanced overall (Table
<xref ref-type="table" rid="T1">1</xref>
) with the exception of fewer HPV-positive patients and fewer patients with locoregional recurrence only who enrolled on the experimental duligotuzumab arm, as compared to the cetuximab arm. Upon review of staging and prior medical history, it was identified that 25/121 patients were enrolled in the first line (1L) rather than the protocol specified 2L + R/M setting. Those patients had not received prior platinum-based therapy for
<italic>de novo</italic>
metastatic (Stage IVc) or for recurrence of locally advanced disease, but rather in the adjuvant or definitive setting. Subset analyses excluding those 25 patients showed no significant impact on the efficacy results.</p>
<table-wrap id="T1" position="float">
<label>Table 1</label>
<caption>
<p>
<bold>Patient characteristics</bold>
.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center" rowspan="1" colspan="1"></th>
<th valign="top" align="center" rowspan="1" colspan="1">Duligotuzumab (
<italic>n</italic>
 = 59)</th>
<th valign="top" align="center" rowspan="1" colspan="1">Cetuximab (
<italic>n</italic>
 = 62)</th>
<th valign="top" align="center" rowspan="1" colspan="1">All patients (
<italic>N</italic>
 = 121)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="4" rowspan="1">
<bold>Age (years)</bold>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Median (range)</td>
<td align="center" valign="top" rowspan="1" colspan="1">62.0 (29–80)</td>
<td align="center" valign="top" rowspan="1" colspan="1">62.0 (28–84)</td>
<td align="center" valign="top" rowspan="1" colspan="1">62.0 (28–84)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4" rowspan="1">
<bold>Sex</bold>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Male</td>
<td align="center" valign="top" rowspan="1" colspan="1">55 (93%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">46 (75%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">101 (84%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4" rowspan="1">
<bold>Race</bold>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">White</td>
<td align="center" valign="top" rowspan="1" colspan="1">47 (80%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">45 (74%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">92 (77%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4" rowspan="1">
<bold>Tobacco use history</bold>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Never</td>
<td align="center" valign="top" rowspan="1" colspan="1">12 (20%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">8 (13%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">20 (17%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4" rowspan="1">
<bold>ECOG performance status</bold>
<xref ref-type="table-fn" rid="tfn1">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">0/1</td>
<td align="center" valign="top" rowspan="1" colspan="1">50 (85%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">52 (85%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">102 (85%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4" rowspan="1">
<bold>Time to progressive disease since last platinum-based chemo</bold>
<xref ref-type="table-fn" rid="tfn1">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">≤2 months</td>
<td align="center" valign="top" rowspan="1" colspan="1">31 (53%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">34 (55%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">65 (54%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4" rowspan="1">
<bold>Site of primary tumor</bold>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Oral cavity</td>
<td align="center" valign="top" rowspan="1" colspan="1">15 (25%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">20 (32%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">35 (29%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Oropharynx</td>
<td align="center" valign="top" rowspan="1" colspan="1">16 (27%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">20 (32%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">36 (30%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Larynx</td>
<td align="center" valign="top" rowspan="1" colspan="1">11 (19%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">8 (13%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">19 (16%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Hypopharynx</td>
<td align="center" valign="top" rowspan="1" colspan="1">6 (10%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">6 (10%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">12 (10%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Head and neck</td>
<td align="center" valign="top" rowspan="1" colspan="1">7 (12%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">5 (8%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">12 (10%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Unknown primary site</td>
<td align="center" valign="top" rowspan="1" colspan="1">4 (7%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">3 (5%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">7 (6%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4" rowspan="1">
<bold>HPV (qRT-PCR assay)</bold>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Positive</td>
<td align="center" valign="top" rowspan="1" colspan="1">10 (17%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">15 (24%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">25 (21%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4" rowspan="1">
<bold>Prior therapies,
<italic>n</italic>
(%)</bold>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Radiation therapy</td>
<td align="center" valign="top" rowspan="1" colspan="1">52 (88%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">52 (84%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">104 (86%)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4" rowspan="1">
<bold>Number of prior systemic regimen</bold>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Median (range)</td>
<td align="center" valign="top" rowspan="1" colspan="1">2 (1–5)</td>
<td align="center" valign="top" rowspan="1" colspan="1">1 (1–5)</td>
<td align="center" valign="top" rowspan="1" colspan="1">1 (1–5)</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4" rowspan="1">
<bold>Extent of disease at baseline</bold>
</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Locoregional recurrence only</td>
<td align="center" valign="top" rowspan="1" colspan="1">7 (12%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">14 (23%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">21 (17%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1">
<p>
<italic>
<sup>a</sup>
Stratification factor</italic>
.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="S3-2">
<title>Study Treatment</title>
<p>The median number of doses given of duligotuzumab was 7 (range 1–24) and of cetuximab 12 (range 1–59). The median treatment duration for duligotuzumab and cetuximab was 12.4 and 12.0 weeks, respectively. The median relative cumulative dose intensity for duligotuzumab and cetuximab was 87.5 and 89.8%, respectively. Treatment modification or interruption was similar for duligotuzumab and cetuximab, with 42 (71%) patients missing at least one dose in the duligotuzumab arm and 49 (80%) in the cetuximab arm. There were 2 (3%) dose modifications in the duligotuzumab arm and 11 (18%) in the cetuximab arm.</p>
<p>The majority of study treatment discontinuations were due to radiographic disease progression or symptomatic deterioration [73% duligotuzumab (radiographic PD: 64%); 80% cetuximab (radiographic PD: 69%)]. Twenty-two patients crossed over to duligotuzumab after central confirmation of progression on cetuximab. Median treatment duration and cumulative dose intensity were 7.6 months and 88.9% for duligotuzumab, respectively. One patient continues duligotuzumab in the crossover arm.</p>
</sec>
<sec id="S3-3">
<title>Safety</title>
<p>The nature and incidence of AEs in the 120 patients evaluable for safety regardless of attribution are summarized (Table
<xref ref-type="table" rid="T2">2</xref>
). The most common AEs were rash (and related terms), infections (MedDRA System Order Class), diarrhea, fatigue, and nausea. The safety profile of duligotuzumab was largely similar to that of cetuximab, however, relative to cetuximab, duligotuzumab was associated with less rash (49 vs. 65%), but more diarrhea (42 vs. 25%), mucosal inflammation (22 vs. 8%), and infection (59 vs. 49%). Grade ≥3 AEs were more frequent in the duligotuzumab arm (61%) vs. the cetuximab arm (51%). Seven deaths (five in the duligotuzumab arm; two in the cetuximab arm), none of which were assessed as related to study treatment, were attributed to underlying disease, disease progression, or an unknown cause.</p>
<table-wrap id="T2" position="float">
<label>Table 2</label>
<caption>
<p>
<bold>Adverse events reported in ≥15% of patients in either arm regardless of attribution</bold>
.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="center" rowspan="1" colspan="1"></th>
<th valign="top" align="center" colspan="2" rowspan="1">Duligotuzumab (
<italic>n</italic>
 = 59)
<hr></hr>
</th>
<th valign="top" align="center" colspan="2" rowspan="1">Cetuximab (
<italic>n</italic>
 = 61)
<hr></hr>
</th>
</tr>
<tr>
<th valign="top" align="left" rowspan="1" colspan="1">MedDRA preferred term</th>
<th valign="top" align="center" rowspan="1" colspan="1">Any grade</th>
<th valign="top" align="center" rowspan="1" colspan="1">Grade ≥3</th>
<th valign="top" align="center" rowspan="1" colspan="1">Any grade</th>
<th valign="top" align="center" rowspan="1" colspan="1">Grade ≥3</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">All</td>
<td align="center" valign="top" rowspan="1" colspan="1">58 (98%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">36 (61%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">59 (97%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">31 (51%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Rash and related MedDRA Terms
<xref ref-type="table-fn" rid="tfn2">
<sup>a</sup>
</xref>
</td>
<td align="center" valign="top" rowspan="1" colspan="1">29 (49%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
<td align="center" valign="top" rowspan="1" colspan="1">40 (66%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">4 (7%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Infections and infestations MedDRA SOC
<xref ref-type="table-fn" rid="tfn3">
<sup>b</sup>
</xref>
</td>
<td align="center" valign="top" rowspan="1" colspan="1">35 (59%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">13 (22%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">30 (49%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">7 (12%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Diarrhea</td>
<td align="center" valign="top" rowspan="1" colspan="1">25 (42%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">2 (3%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">15 (25%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Fatigue</td>
<td align="center" valign="top" rowspan="1" colspan="1">19 (32%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">2 (3%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">18 (29.5%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">1 (2%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Nausea</td>
<td align="center" valign="top" rowspan="1" colspan="1">13 (22%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
<td align="center" valign="top" rowspan="1" colspan="1">18 (29.5%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Hypomagnesemia</td>
<td align="center" valign="top" rowspan="1" colspan="1">12 (20%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">1 (2%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">16 (26%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">3 (5%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Vomiting</td>
<td align="center" valign="top" rowspan="1" colspan="1">12 (20%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
<td align="center" valign="top" rowspan="1" colspan="1">11 (18%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Pyrexia</td>
<td align="center" valign="top" rowspan="1" colspan="1">15 (25%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
<td align="center" valign="top" rowspan="1" colspan="1">6 (10%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Headache</td>
<td align="center" valign="top" rowspan="1" colspan="1">15 (25%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
<td align="center" valign="top" rowspan="1" colspan="1">6 (10%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Skin fissures</td>
<td align="center" valign="top" rowspan="1" colspan="1">11 (19%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
<td align="center" valign="top" rowspan="1" colspan="1">8 (13%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">1 (2%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Decreased appetite</td>
<td align="center" valign="top" rowspan="1" colspan="1">10 (17%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">1 (2%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">10 (16%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">1 (2%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Mucosal inflammation</td>
<td align="center" valign="top" rowspan="1" colspan="1">13 (22%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
<td align="center" valign="top" rowspan="1" colspan="1">5 (8%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Weight decreased</td>
<td align="center" valign="top" rowspan="1" colspan="1">6 (10%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
<td align="center" valign="top" rowspan="1" colspan="1">10 (16%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">1 (2%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Constipation</td>
<td align="center" valign="top" rowspan="1" colspan="1">9 (15%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
<td align="center" valign="top" rowspan="1" colspan="1">7 (11.5%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Dry skin</td>
<td align="center" valign="top" rowspan="1" colspan="1">8 (14%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
<td align="center" valign="top" rowspan="1" colspan="1">10 (16%)</td>
<td align="center" valign="top" rowspan="1" colspan="1"></td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Dyspnea</td>
<td align="center" valign="top" rowspan="1" colspan="1">7 (12%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">1 (2%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">11 (18%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">4 (7%)</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="1" colspan="1">Asthenia</td>
<td align="center" valign="top" rowspan="1" colspan="1">6 (10%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">1 (2%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">10 (16%)</td>
<td align="center" valign="top" rowspan="1" colspan="1">1 (2%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>
<italic>AEs presented are prior to crossover; AEs in crossover arm not reported here but similar</italic>
.</p>
<fn id="tfn2">
<p>
<italic>
<sup>a</sup>
Rash and related MedDRA terms = dermatitis acneiform, rash, rash maculo-papular, rash macular, rash erythematous, rash pruritic, rash generalized, rash papular, rash pustular, genital rash, and mucocutaneous rash</italic>
.</p>
</fn>
<fn id="tfn3">
<p>
<italic>
<sup>b</sup>
MedDRA System Order Class Infections and Infestations terms: paronychia (22% in duligotuzumab arm vs. 10% in cetuximab arm; No Grade 3 AEs), conjunctivitis, pneumonia, respiratory tract infection, bronchitis, lower respiratory tract infection, oral candidiasis,
<italic>Candida</italic>
infection, folliculitis, oral fungal infection, upper respiratory tract infection, cellulitis, sepsis, urinary tract infection, device-related infection, infection, nasopharyngitis, lung infection, nail infection, pharyngitis, oral herpes, abscess, abscess neck, bacteremia,
<italic>Clostridium difficile</italic>
infection, ear infection, fungal infection, groin abscess, infected bites, influenza, meningitis, mucosal infection, onychomycosis, osteomyelitis, rash pustular, rhinitis, skin bacterial infection, skin infection, staphylococcal infection, viral upper respiratory tract infection, abscess limb, acute sinusitis, bacteriuria, furuncle, herpes zoster, infected fistula, oral infection, pneumonia necrotizing, sinusitis, stoma site infection, and tracheostomy infection</italic>
.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Infusion-related reactions of headache and fever (events observed within 24 h of treatment and reported as related to study treatment; grade 1–2) had a higher incidence in the duligotuzumab arm (13 vs. 3% for headache and 10 vs. 5% for fever). No allergic type infusion-related reactions were observed in the duligotuzumab arm; anaphylactic reactions to cetuximab were reported in 3% of patients. Discontinuations due to AEs were higher in the cetuximab arm (7% duligotuzumab and 13.5% cetuximab).</p>
</sec>
<sec id="S3-4">
<title>Pharmacokinetics</title>
<p>Target exposures of duligotuzumab were achieved in 100% of patients. The mean steady state (cycle 4) duligotuzumab PK parameter values (SD) for predose and C
<sub>max</sub>
were 82.4 (40.4) and 366 (106) μg/mL, respectively. There was a weak trend observed in PK vs. body weight. No PK differences were detected in patient subpopulations (
<italic>NRG1</italic>
high/low or HPV+/−). ATAs were detected in 2/61 patients (3.3%) and had no impact on PK or safety.</p>
</sec>
<sec id="S3-5">
<title>Clinical Activity</title>
<p>In the ITT population, duligotuzumab and cetuximab showed comparable PFS [median 4.2 vs. 4.0 months, respectively, unstratified HR 1.23 (90% CI 0.89–1.70)] and OS [median 7.2 vs. 8.7 months, respectively, unstratified HR 1.15 (90% CI 0.81–1.63)] (Figure
<xref ref-type="fig" rid="F2">2</xref>
). PFS and OS subgroup analysis by patient and disease characteristics and stratification factors (ECOG and time to PD since most recent platinum treatment) did not show benefit for duligotuzumab over cetuximab. Objective response and treatment duration were comparable: ORR 12% (7 patients) duligotuzumab vs. 14.5% (9 patients) cetuximab, duration of objective response was median 5.4 months (duligotuzumab) vs. 4.3 months (cetuximab). There was limited evidence of activity in crossover patients (
<italic>n</italic>
 = 22) (Figure
<xref ref-type="fig" rid="F3">3</xref>
).</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption>
<p>
<bold>Duligotuzumab vs. cetuximab in intention to treat (ITT) population showing comparable antitumor activity</bold>
.
<bold>(A)</bold>
Progression-free survival.
<bold>(B)</bold>
Overall survival.</p>
</caption>
<graphic xlink:href="fonc-06-00232-g002"></graphic>
</fig>
<fig id="F3" position="float">
<label>Figure 3</label>
<caption>
<p>
<bold>ORR and treatment duration for primary treatment arms and crossover patients</bold>
.
<bold>(A)</bold>
Duligotuzumab arm.
<bold>(B)</bold>
Cetuximab arm.</p>
</caption>
<graphic xlink:href="fonc-06-00232-g003"></graphic>
</fig>
<p>Best responses in the duligotuzumab arm included 1 (2%) CR, 8 (14%) PRs, and 36 (61%) individuals with stable disease. The cetuximab arm included 2 (3%) CRs, 11 (18%) PRs, and 25 (40%) individuals with stable disease. Of 22 patients who crossed over to duligotuzumab after cetuximab failure, 10 showed stable disease (45%), exceeding prior PFS on cetuximab in 5 patients, and with one patient remaining active on study.</p>
</sec>
<sec id="S3-6">
<title>Biomarker Subset Analyses</title>
<p>Biomarker subtype analysis was performed for
<italic>NRG1</italic>
and
<italic>ERBB3</italic>
in 108 tumor samples (89%; 51/59 in the duligotuzumab arm and 57/62 in the cetuximab arm), both potential indicators of HER3 activity. Baseline expression using median and quartile cutoffs, respectively, was assessed relative to best change in sum of longest diameters of lesions from baseline and PFS. While there appeared to be a trend toward elevated
<italic>NRG1</italic>
levels and an increase in tumor shrinkage (Figure
<xref ref-type="fig" rid="F4">4</xref>
A), neither elevated
<italic>NRG1</italic>
nor reduced
<italic>ERBB3</italic>
expression predicted for response to duligotuzumab or against response to cetuximab (Figure
<xref ref-type="fig" rid="F4">4</xref>
B). Moreover, the trend toward elevated
<italic>NRG1</italic>
expression and increased tumor shrinkage was observed in both study arms. Similar observations were made for OS. Of note,
<italic>NRG1</italic>
expression levels were comparable to those in the phase Ia study (including responders) (
<xref rid="B18" ref-type="bibr">18</xref>
). To further address the hypothesized and preclinically supported role for
<italic>NRG1</italic>
autocrine expression in SCCHN, dual-colored ISH (
<italic>NRG1</italic>
and
<italic>ERBB3</italic>
) was performed and the biomarker analysis was repeated. Similar to expression analysis, co-localized expression of
<italic>NRG1</italic>
and
<italic>ERBB3</italic>
did not predict for response to duligotuzumab (Figure
<xref ref-type="fig" rid="F4">4</xref>
C).</p>
<fig id="F4" position="float">
<label>Figure 4</label>
<caption>
<p>
<bold>Efficacy relative to key biomarkers: (A) best change in target lesion sum of longest dimension (SLD) and corresponding
<italic>NRG1, ERBB3</italic>
, and HPV status; (B) PFS by
<italic>NRG1</italic>
and
<italic>ERBB3</italic>
expression levels by quartiles; and (C)
<italic>NRG1</italic>
measured by qRT-PCR or by ISH does not predict response to duligotuzumab</bold>
.</p>
</caption>
<graphic xlink:href="fonc-06-00232-g004"></graphic>
</fig>
<p>In addition to molecular biomarkers, HPV status based on qRT-PCR methodology was performed. Of 110 evaluable tumor samples from both treatment arms, 25 were HPV-positive and 85 HPV-negative. HPV-negative samples tended to have higher NRG1 ligand expression. Of the 25 patients with HPV-positive tumors, the site of primary tumor was oropharynx (14), oral cavity (4), larynx (1), and other or unknown locations (6). Among HPV-positive patients treated with either duligotuzumab or cetuximab, there were no responses (Figure
<xref ref-type="fig" rid="F5">5</xref>
).</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption>
<p>
<bold>HER family ligand expression by HPV status</bold>
. Ligand expression was higher in HPV-negative (−) subjects, with no responses in HPV-positive (+).</p>
</caption>
<graphic xlink:href="fonc-06-00232-g005"></graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="S4">
<title>Discussion</title>
<p>The results of this phase II study show that dual inhibition of HER3 and EGFR by single-agent duligotuzumab demonstrated activity comparable, but not superior, to single-agent cetuximab in second or more line R/M SCCHN. High
<italic>NRG1</italic>
gene expression in tumor (primary biomarker hypothesis) was not associated with duligotuzumab efficacy as response rates, and PFS was similar between groups. Similarly, no association was found with
<italic>ERBB3</italic>
gene expression. Target study drug exposures were achieved for duligotuzumab. The phase II fixed dose of 1100 mg q2w duligotuzumab, which provides equivalent exposure to the phase Ia expansion dose of 14 mg/kg q2w, was selected based on achieving PK targets in >80% of patients. PK targets included an AUC based on xenograft models (equivalent to 300 day × μg/ml) and a C-trough of 5.3 μg/ml, which is predicted to correspond to 90% target saturation and 95% receptor binding. There was no clear relationship between exposure to duligotuzumab and safety or efficacy.</p>
<p>The safety profile of duligotuzumab was largely similar to cetuximab, with few exceptions. While duligotuzumab was associated with fewer rash events (49 vs. 65%) compared to cetuximab, GI disorders were more frequent with duligotuzumab vs. cetuximab (diarrhea 42 vs. 25%; mucosal inflammation 22 vs. 8%). These observations are consistent with other regimens targeting multiple HER receptors, and likely indicative of HER3-mediated toxicity [e.g., pan-HER TKI afatinib vs. cetuximab in R/M SCCHN (
<xref rid="B20" ref-type="bibr">20</xref>
); addition of pertuzumab (inhibitor of the dimerization of HER2/HER3) to trastuzumab and chemotherapy in 1L HER2 + breast cancer (
<xref rid="B21" ref-type="bibr">21</xref>
)]. MedDRA System Order Class “Infections and Infestations” were more frequent in the duligotuzumab arm (all grades: 59 vs. 49%; grades ≥3: 22 vs. 12%) with no particular pattern of infection identified in either treatment arm. The higher frequency in duligotuzumab-treated patients may be related to this groups’ higher rate of mucosal inflammation.</p>
<p>Despite strong preclinical data coupled with activity in phase I suggesting a potential role of HER3 signaling in SCCHN (
<xref rid="B16" ref-type="bibr">16</xref>
,
<xref rid="B18" ref-type="bibr">18</xref>
), the dual inhibition of EGFR and HER3 was not associated with improved efficacy in this study, neither in all randomized nor biomarker positive patients. The outcome was similar in study of the pan-HER TKI, afatinib vs. cetuximab in all-comer ≥1L SCCHN (
<xref rid="B20" ref-type="bibr">20</xref>
), with median PFS 13.0 vs. 15.0 weeks (HR 0.93, 95% CI 0.62–1.38,
<italic>p</italic>
 = 0.71). Median PFS for patients who crossed over to afatinib was 9.3 and 5.7 weeks for those crossing to cetuximab (HR 0.64, 95% CI 0.38–1.05,
<italic>p</italic>
 = 0.08). Taken together, these data suggest that the inhibition of HER3 in addition to EGFR does not significantly improve response in recurrent/metastatic SCCHN. Alternatively, these data may indicate that inhibition of EGFR alone may be sufficient to block EGFR–HER3 signaling, suggesting that HER2 plays a minimal role in this disease. A better understanding of receptor dimerization following exposure to different agents may provide critical insights to this mechanism. It is also possible that HER3 signaling has a moderate role in SCCHN and inhibition of HER3 by duligotuzumab compensated for its slightly lower affinity for EGFR (
<italic>K</italic>
<sub>d</sub>
of 0.4 nM vs. 0.39 nM for cetuximab) (
<xref rid="B16" ref-type="bibr">16</xref>
,
<xref rid="B22" ref-type="bibr">22</xref>
). Finally, there is no evidence for differential ADCC activity as duligotuzumab demonstrated mediated ADCC activity in cell lines with high EGFR expression that was similar to what has been described with cetuximab (
<xref rid="B16" ref-type="bibr">16</xref>
).</p>
<p>The potential for enhanced chemosensitization and radiosensitization with dual HER3/EGFR inhibition remains an unanswered question. Preclinical studies showed enhanced radiation response with dual HER3/EGFR inhibition in SCCHN and lung cancer model systems (
<xref rid="B23" ref-type="bibr">23</xref>
). Chemotherapy-induced upregulation of NRG1 and activation of HER3 have been reported
<italic>in vitro</italic>
(
<xref rid="B24" ref-type="bibr">24</xref>
). A phase Ib study combining duligotuzumab with either cisplatin/5FU or carboplatin/paclitaxel in 1L R/M, SCCHN showed encouraging activity with ORR of 67% though without clear relationship with evaluated biomarkers and hence no means for patient selection (
<xref rid="B25" ref-type="bibr">25</xref>
,
<xref rid="B26" ref-type="bibr">26</xref>
). While the phase Ib study showed high antitumor efficacy and a higher frequency and severity of select AEs in comparison to historical phase III data on combination of chemotherapy and EGFR inhibitors, it is not clear if such was owed to chemo sensitization or rather was reflective of the small sample size.</p>
<p>The role of EGFR inhibition in HPV-associated oropharyngeal cancer vs. HPV-negative head and neck cancer remains controversial and may differ depending on whether given as monotherapy or combined with chemotherapy or radiotherapy. Our findings of no objective responses in the HPV-positive group with either agent are consistent with those recently reported with afatanib (
<xref rid="B27" ref-type="bibr">27</xref>
), with no objective responses in the p16-positive population and a 13.5% response rate in the p16-negative population, and raise further doubts about the role of anti-EGFR monotherapy for R/M HPV-associated oropharyngeal cancer.</p>
</sec>
<sec id="S5">
<title>Conclusion</title>
<p>Dual inhibition of EGFR and HER3 by duligotuzumab was not associated with improved efficacy compared to cetuximab, neither in all randomized nor biomarker positive patients. Our data suggest that HPV-negative SCCHN but not HPV-positive SCCHN may respond to cetuximab or duligotuzumab, though the addition of HER3 inhibition does not significantly improve response but may increase the frequency of select lower grade GI toxicities.</p>
</sec>
<sec id="S6">
<title>Author Contributions</title>
<p>Conception and design: PH, AK, BM, EP, AP, DR, and JV. Collection and assembly of data: MA, DC, JF, AJ, BM, CN, PO, CO, EP, AP, DR, AU, and LW. All authors contributed to data analysis and interpretation. All authors contributed to manuscript writing. All authors provided final approval of manuscript and its content.</p>
</sec>
<sec id="S7">
<title>Conflict of Interest Statement</title>
<p>JF had leadership at Glycotope GmbH; LW had consultant roles at Ashion, Eisai, and Loxo; CO received research funding from Genentech, Inc., and participated as PI in different clinical studies; AU received honoraria from BMS, Astrazeneca, Amgen, and Teva, had consulting or advisory role at Teva and BMS, and received travel and/or accommodation expenses from Astellas and Teva; AJ has no disclosures; DR received research funding from Genentech, Merck, and Threshold; CN has no disclosures; PH and the University of Wisconsin received laboratory research support from Genentech, Inc.; TC has no disclosures; DC has no disclosures; PO has no disclosures; WH, AK, MA, EP, BM, and AP are employees of Genentech, Inc., South San Francisco, CA, USA and stockholders of Roche; JV participated in Advisory Boards at AstraZeneca, Boehringer-Ingelheim, Debiopharma, Merck-Serono, PCI Biotech, Merck Sharp & Dome Corp., Genentech, Pierre Fabre, Vaccinogen, Innate Pharma, Synthon Biopharmaceuticals, F-Star Biotechnology Ltd., and SMS-Oncology and received lecturer fees from Merck-Serono and Vaccinogen.</p>
</sec>
</body>
<back>
<ack>
<p>We acknowledge our appreciation for sites that enrolled patients for this study in Australia (Newcastle Mater Misericordiae Hospital and Wollongong Hospital Cancer Care Center, New South Wales; St. Vincent’s Hospital, Darlinghurst; Royal Brisbane Hospital, Herston; Peter MacCullum Cancer Centre, Melbourne; Ashford Cancer Center Research, Kurralta Park), Belgium (UZ Antwerpen, Edegem), Bulgaria (Complex Oncological Center-Ruse EOOD, Vratsa; Umhat Dr Georgi Stranski, Pleven; MHAT Serdika, Sofia), France (Centre Leon Berard, Lyon; Institut Gustave Roussy, Villejuif), Germany (Uniklinik Essen, Essen), Hungary (Jász-Nagykun-Szolnok Megyei Hetényi Géza Kórház, Szolnok; Debreceni Egyetem Orvos-és Egészségtudományi Centrum, Debrecen), Italy (Ospedale S. Giovanni Battista, Torino), Romania (Sf. Constantin Hospital, Brasov; Institutul Oncologic, Cluj-Napoca; Oncomed SRL, Timisoara; Medisprof SRL, Cluj-Napoca), Spain (Centro Integral Oncologico Clara Campal and Hospital Universitario 12 de Octubre, Madrid), United Kingdom (University Hospital Coventry, Coventry; Beatson West of Scotland Cancer, Glasgow; Royal Marsden NHS Trust, London; The Royal Marsden Hospital, Sutton), United States (Stanford University Medical Center, Stanford; Center for Biomedical Research LLC, Knoxville; University of Wisconsin Hospital and Clinics, Madison; University of Colorado – Anschutz Cancer Pavilion, Aurora; Medical University of South Carolina, Charleston; University of Chicago Department of Medicine, Chicago; West Kentucky Hem/Onc Group, Paducah; Advanced Medical Specialties, Miami; Massachusetts General Hospital and Dana-Faber Cancer Institute, Boston). Editing and writing support was provided by A. Daisy Goodrich (Genentech, Inc., South San Francisco, CA, USA) and was funded by Genentech, Inc.</p>
</ack>
<sec id="S8">
<title>Funding</title>
<p>This work was supported by Genentech, Inc., South San Francisco, CA, USA. CN was supported by Cancer Research UK Programme Grant A13407 and the RM/ICR NIHR Biomedical Research Centre.</p>
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