<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">ALC</journal-id><journal-title-group><journal-title>Advances in Lung Cancer</journal-title></journal-title-group><issn pub-type="epub">2169-2718</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/alc.2022.111001</article-id><article-id pub-id-type="publisher-id">ALC-115862</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  C-MET Inhibitors as New Members of the NSCLC Treatment Armamentarium—A Pooled Analysis
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Susanne</surname><given-names>Reuther</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Niccolo</surname><given-names>Bassani</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Michael</surname><given-names>F. Murphy</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Wolfram</surname><given-names>Dempke</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Worldwide Clinical Trials, Nottingham, UK</addr-line></aff><aff id="aff1"><addr-line>University Clinic, LMU Munich, Munich, Germany</addr-line></aff><pub-date pub-type="epub"><day>15</day><month>03</month><year>2022</year></pub-date><volume>11</volume><issue>01</issue><fpage>1</fpage><lpage>13</lpage><history><date date-type="received"><day>9,</day>	<month>February</month>	<year>2022</year></date><date date-type="rev-recd"><day>12,</day>	<month>March</month>	<year>2022</year>	</date><date date-type="accepted"><day>15,</day>	<month>March</month>	<year>2022</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Objective: Capmatinib and tepotinib, two recently FDA-approved and highly specific small-molecule inhibitors of c-MET exon 14 skipping mutations are new and important therapeutic options for the treatment of NSCLC patients harbouring c-MET alterations. However, the precise role of these molecules as a new treatment option is still not fully defined. 
  Methods: In an attempt to further evaluate the contributions of c-MET inhibitors to the armamentarium of treatment options for advanced and metastatic NSCLCs, relevant phase II and III studies were retrospectively analyzed in terms of ORR and mPFS (mOS numbers are still not available for current c-MET trials and therefore not considered for statistical purposes). 
  Results: Treatment of advanced and metastatic NSCLC patients harbouring c-MET exon 14 skipping mutations with the novel and highly selective c-MET inhibitors is significantly superior (p &lt; 0.0001) when compared with standard chemotherapy. However, when c-MET inhibitors are compared with immunotherapy or the combination of immunotherapy and chemotherapy, no significant differences in terms of ORR and PFS were found, but treatment with c-MET reported be much more tolerable. 
  Conclusion: The novel and highly selective c-MET inhibitors capmatinib and tepotinib are promising novel treatment options for patients with c-MET-dysregulated NSCLC primarily in the first-line setting, albeit a clear mOS benefit has not yet been established. Since immunotherapy did not appear to be particularly effective in NSCLC patients harbouring c-MET alterations, the vast majority of these patients are treated with immunotherapy plus chemotherapy. C-Met inhibitors appear to be equally effective and thereby sparing patients from the toxic effects of the chemotherapy. The routine testing of c-MET exon 14 skipping mutations should be performed as the GEOMETRY mono-1 data clearly showed higher response rates with capmatinib in treatment-naive than in pretreated patients, indicating that c-MET exon 14 skipping mutations should preferably be molecularly assessed at baseline. C-MET exon 14 skipping mutations are, therefore, clear biomarkers of response to c-MET inhibitors.
 
</p></abstract><kwd-group><kwd>NSCLC</kwd><kwd> Treatment Options</kwd><kwd> c-MET Inhibitors</kwd><kwd> Statistical Analysis</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>First-line treatment of advanced or metastatic NSCLCs (non-small cell lung cancers) has changed dramatically during the last two decades, and novel treatment options such as tyrosine kinase inhibitors (e.g., EGFR, ALK, RET, Braf, c-MET) and immunotherapies (e.g., PD-1, PD-L1, CTLA-4) have demonstrated significant benefit for several NSCLC patients sparing them from the toxic effects of chemotherapy [<xref ref-type="bibr" rid="scirp.115862-ref1">1</xref>]. Overall, to date five different and approved treatment options have been established for advanced or metastatic NSCLCs (outline in <xref ref-type="fig" rid="fig1">Figure 1</xref>).</p><p>Capmatinib and tepotinib, two recently FDA-approved [<xref ref-type="bibr" rid="scirp.115862-ref2">2</xref>] and highly specific small-molecule inhibitors of c-MET exon 14 skipping mutations are new and important therapeutic options for the treatment of NSCLC patients harbouring c-MET alterations. Both drugs showed substantial antitumour activity in patients with advanced NSCLC with a c-MET exon 14 skipping mutation, particularly in those not been treated previously [<xref ref-type="bibr" rid="scirp.115862-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref4">4</xref>].</p><p>Several lines of evidence have demonstrated that harbouring altered c-MET in NSCLC patients is associated with lower ORRs (overall response rates) and shorter mPFS (medium progression-free survival) and mOS (medium overall survial) than in tumours without such mutations [<xref ref-type="bibr" rid="scirp.115862-ref5">5</xref>]. In addition, c-MET with exon 14 skipping mutations is thought to be associated with a significantly higher PD-L1 expression. However, it should be noted that the putative cross-talk between c-MET activation and PD-L1 expression is not fully understood [<xref ref-type="bibr" rid="scirp.115862-ref6">6</xref>] Clearly, there are multiple pathways by which c-MET can influence PD-L1 expression and key player remain to be identified (reviewed by [<xref ref-type="bibr" rid="scirp.115862-ref7">7</xref>]). Furthermore, c-MET alterations have been found to be positively correlated with enhanced expression of immune-inhibitory molecules (e.g., PD-L1), decreased expression of co-stimulatory markers (e.g., CD137, CD252 etc.), and c-MET obviously is also implicated in controlling the inflamed TME (tumour microenvironment) [<xref ref-type="bibr" rid="scirp.115862-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref9">9</xref>].</p><p>Some clinical evidence suggests that immune checkpoint inhibitors are less effective in tumours with driver mutations including c-MET, and the efficacy of immunotherapy for NSCLC patients harbouring c-MET exon 14 skipping mutations remains very poor. The conclusion of a report based on the IMMUNOTARGET registry suggests where driver mutations are found, targeted therapies such as TKIs should be used before contemplating immunotherapy [<xref ref-type="bibr" rid="scirp.115862-ref10">10</xref>].</p></sec><sec id="s2"><title>2. Methods</title><p>In an attempt to further evaluate the contributions of c-MET inhibitors to the armamentarium of treatment options for advanced and metastatic NSCLCs, relevant phase II and III studies were retrospectively analyzed in terms of ORR and mPFS (mOS numbers are still not available for current c-MET trials and therefore not considered for statistical purposes).</p><p>Almost all randomized immunotherapy studies with checkpoint inhibitors (e.g., anti-PD-1, anti-PD-L1) excluded NSCLC patients harbouring EGFR, ALK, or RET alterations from enrollment. Despite this observation, trials with TKIs targeting EGFR, ALK, Braf, or RET were also included in this analysis. From each data set mean ORR number (&#177;SE) and mean PFS (&#177;SE) were calculated. For the sake of clarity immunotherapy trials were separately analysed for PD-1 and PD-L1 monoclonal antibodies. Although only very few studies with checkpoint inhibitors as first-line treatment in NSCLC patients with a confirmed c-MET mutation status have been published, these results were also included in the analysis.</p><p>Finally, the obtained numbers were then compared with the ones for trials with c-MET inhibitors using the Student t-test (unpaired, two-tailed) with a significance threshold of p &lt; 0.05.</p></sec><sec id="s3"><title>3. Results</title><p>For chemotherapy (platinum-doublets as standard first-line chemotherapy of choice for advanced or metastatic NSCLC patients) results were extrapolated from earlier reference studies [<xref ref-type="bibr" rid="scirp.115862-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref12">12</xref>] and shown in <xref ref-type="table" rid="table1">Table 1</xref>. From these results mean ORR and PFS were calculated to be 26.5% &#177; 2.5% and 4.5 months &#177; 0.34 months, respectively.</p><p>For immunotherapies (anti-PD-1 and anti-PD-1) as first-line therapy for advanced and metastatic NSCLCs [<xref ref-type="bibr" rid="scirp.115862-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref14">14</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref17">17</xref>] results are shown in <xref ref-type="table" rid="table2">Table 2</xref>. From these results mean ORR and PFS were calculated to be 37.0% &#177; 1.4% and 6.2 months &#177; 2.0 months for anti-PD-L1 antibodies, respectively. For anti-PD-1 antibodies the calculated values were 35.4% &#177; 8.4% (ORR) and 7.3 months &#177; 3.0 months (PFS).</p><p>For immunotherapies (anti-PD-L1 and anti-PD-1) in combination with chemotherapy (i.e., platinum-doublets) as first-line therapy for advanced and metastatic NSCLCs [<xref ref-type="bibr" rid="scirp.115862-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref20">20</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref22">22</xref>] results are shown in <xref ref-type="table" rid="table3">Table 3</xref>. From these results mean ORR and PFS were calculated to be 50.2% &#177; 7.6% and 6.7 months &#177; 0.8 months for anti-PD-L1 antibodies, respectively. For anti-PD-1 antibodies the calculated values were 52.7% &#177; 5.2% (ORR) and 7.6 months &#177; 1.2 months (PFS).</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> ORRs and mPFS for advanced and metastatic NSCLCs following treatment with platinum-based chemotherapy (Numbers taken from [<xref ref-type="bibr" rid="scirp.115862-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref12">12</xref>])</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Regimen</th><th align="center" valign="middle" >N</th><th align="center" valign="middle" >ORR</th><th align="center" valign="middle" >mPFS</th></tr></thead><tr><td align="center" valign="middle" >Carboplatin + Paclitaxel</td><td align="center" valign="middle" >201</td><td align="center" valign="middle" >32%</td><td align="center" valign="middle" >5.5 months</td></tr><tr><td align="center" valign="middle" >Carboplatin + Vinorelbine</td><td align="center" valign="middle" >201</td><td align="center" valign="middle" >30%</td><td align="center" valign="middle" >4.6 months</td></tr><tr><td align="center" valign="middle" >Carboplatin + Docetaxel</td><td align="center" valign="middle" >289</td><td align="center" valign="middle" >17%</td><td align="center" valign="middle" >3.7 months</td></tr><tr><td align="center" valign="middle" >Cisplatin + Paclitaxel</td><td align="center" valign="middle" >288</td><td align="center" valign="middle" >21%</td><td align="center" valign="middle" >3.3 months</td></tr><tr><td align="center" valign="middle" >Cisplatin + Gemcitabine</td><td align="center" valign="middle" >863</td><td align="center" valign="middle" >28.2%</td><td align="center" valign="middle" >5.1 months</td></tr><tr><td align="center" valign="middle" >Cisplatin + Pemetrexed*</td><td align="center" valign="middle" >862</td><td align="center" valign="middle" >30.6%</td><td align="center" valign="middle" >4.8 months</td></tr></tbody></table></table-wrap><p>*non-squamous cell histologies only.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> ORRs and mPFS with checkpoint inhibitors as first-line monotherapy in NSCLC patients (modified after [<xref ref-type="bibr" rid="scirp.115862-ref13">13</xref>]</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Drug</th><th align="center" valign="middle" >Study</th><th align="center" valign="middle" >ORR</th><th align="center" valign="middle" >mPFS</th><th align="center" valign="middle" >Reference</th></tr></thead><tr><td align="center" valign="middle" >Atezolizumab</td><td align="center" valign="middle" >NCT024093342 (IMPower 110), N = 572 (phase III), atezolizumab vs. chemotherapy (PL-L1 ≥ 50%)</td><td align="center" valign="middle" >38.3% vs. 26.8%</td><td align="center" valign="middle" >8.1 vs. 5.0 mo.</td><td align="center" valign="middle" >Herbst et al. 2020 [<xref ref-type="bibr" rid="scirp.115862-ref14">14</xref>]</td></tr><tr><td align="center" valign="middle" >Pembrolizumab</td><td align="center" valign="middle" >NCT02142738 (KeyNote-024), N = 305 (phase III), pembrolizumab vs. chemotherapy (PD-L1 ≥ 50%)</td><td align="center" valign="middle" >44.8% vs. 27.8%</td><td align="center" valign="middle" >10.3 vs. 6.0 mo.</td><td align="center" valign="middle" >Reck et al. 2016 [<xref ref-type="bibr" rid="scirp.115862-ref15">15</xref>]</td></tr><tr><td align="center" valign="middle" >Nivolumab</td><td align="center" valign="middle" >NCT02041533 (Checkmate-026), N = 541 (phase III), nivolumab vs. chemotherapy (PD-L1 &gt; 5%)</td><td align="center" valign="middle" >26% vs. 31%</td><td align="center" valign="middle" >4.2 vs. 5.9 mo.</td><td align="center" valign="middle" >Carbane et al. 2017 [<xref ref-type="bibr" rid="scirp.115862-ref16">16</xref>]</td></tr><tr><td align="center" valign="middle" >Durvalumab</td><td align="center" valign="middle" >NCT02453282 (MYSTIC), N = 1118 (phase III), durvalumab vs. durvalumab + tremelimumab vs. chemotherapy</td><td align="center" valign="middle" >35.6%* vs. 34.4% vs. 37.7%</td><td align="center" valign="middle" >4.2* vs. 3.0 vs. 5.4 mo.</td><td align="center" valign="middle" >Rizvi et al. 2020 [<xref ref-type="bibr" rid="scirp.115862-ref17">17</xref>]</td></tr></tbody></table></table-wrap><p>*not significant.</p><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> ORRs and mPFS with checkpoint inhibitors plus chemotherapy as first-line mono-therapy in NSCLC patients</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Drug</th><th align="center" valign="middle" >Study</th><th align="center" valign="middle" >ORR</th><th align="center" valign="middle" >mPFS</th><th align="center" valign="middle" >Reference</th></tr></thead><tr><td align="center" valign="middle" >Atezolizumab</td><td align="center" valign="middle" >NCT02367794 (IMPower 131), N = 1021 (phase III), atezolizumab + chemotherapy vs. Placebo + chemotherapy</td><td align="center" valign="middle" >49.7% vs. 41%</td><td align="center" valign="middle" >6.3 vs. 5.6 mo.</td><td align="center" valign="middle" >Jotte et al. 2020 [<xref ref-type="bibr" rid="scirp.115862-ref18">18</xref>]</td></tr><tr><td align="center" valign="middle" >Atezolizumab</td><td align="center" valign="middle" >NCT02366143 (IMPower 150), N = 1202 (phase III), atezolizumab + bevacizumab + chemotherapy vs. Placebo + bevacizumab + chemotherapy</td><td align="center" valign="middle" >63.5% vs. 48.8%</td><td align="center" valign="middle" >8.3 vs. 6.8 mo.</td><td align="center" valign="middle" >Socinski et al. 2018 [<xref ref-type="bibr" rid="scirp.115862-ref19">19</xref>]</td></tr><tr><td align="center" valign="middle" >Pembrolizumab</td><td align="center" valign="middle" >NCT02775435 (Keynote-407), N = 559 (phase III), pembrolizumab + chemo-therapy vs. placebo + chemo-therapy (squamous)</td><td align="center" valign="middle" >57.9% vs. 38.4%</td><td align="center" valign="middle" >6.4 vs. 4.8 mo.</td><td align="center" valign="middle" >Paz-Ares et al. 2018 [<xref ref-type="bibr" rid="scirp.115862-ref20">20</xref>]</td></tr><tr><td align="center" valign="middle" >Pembrolizumab</td><td align="center" valign="middle" >NCT 02578680 (Keynote-189), N = 616 (phase III), pembrolizumab + chemotherapy vs. placebo + chemotherapy (adeno)</td><td align="center" valign="middle" >47.5% vs. 18.9%</td><td align="center" valign="middle" >8.8 vs. 4.9 mo.</td><td align="center" valign="middle" >Gandhi et al. 2018 [<xref ref-type="bibr" rid="scirp.115862-ref21">21</xref>]</td></tr><tr><td align="center" valign="middle" >Durvalumab</td><td align="center" valign="middle" >NCT03164616 (POSEIDON), N = 1013 (phase III), durvalumab + chemotherapy vs. chemotherapy</td><td align="center" valign="middle" >37.3% vs. 25.6%</td><td align="center" valign="middle" >5.5 vs. 4.8 mo.</td><td align="center" valign="middle" >Johnson et al. 2021 [<xref ref-type="bibr" rid="scirp.115862-ref22">22</xref>]</td></tr></tbody></table></table-wrap><p>For immunotherapies (anti-PD-1 and anti-PD-1) as first-line therapy for advanced and metastatic NSCLC patients harbouring c-MET exon 14 mutations [<xref ref-type="bibr" rid="scirp.115862-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref25">25</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref26">26</xref>] results are shown in <xref ref-type="table" rid="table4">Table 4</xref>. For this subgroup mean ORR was found to be 16.5% &#177; 0.5% and mean PFS was calculated to be 2.7 months &#177; 0.8 months.</p><p>In addition, the results of two c-MET inhibitors as first-line treatment for NSCLC patients harbouring c-MET exon 14 skipping mutations [<xref ref-type="bibr" rid="scirp.115862-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref4">4</xref>] are listed in <xref ref-type="table" rid="table5">Table 5</xref>. Mean ORR for these two c-MET inhibitors was 56.85% &#177; 12%, mean PFS was found to be 10.5 months &#177; 2.0 months.</p><p>Finally, ORR and mPFS in the first-line setting for the currently approved TKIs targeting EGFR, ALK, and RET were analysed (<xref ref-type="table" rid="table6">Table 6</xref>). Mean ORRs for these inhibitors were 70% &#177; 4.3% (EGFRmut), 69.2% &#177; 6.8% (ALK), and 66.9% &#177; 3.1% (RET). Mean PFS values was calculated to be 12.9 months &#177; 1.8 months (EGFRmut), 16.5 months &#177; 3.8 months (ALK), and 13.3 months &#177; 4.3 months (RET). The results of the chemotherapy group and the c-MET group were then compared with the results obtained from the other groups, and results are summarized in <xref ref-type="table" rid="table7">Table 7</xref>.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Outcome of NSCLC patients harbouring c-MET exon 14 skipping mutations following first-line immune therapies with checkpoint inhibitors</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Reference</th><th align="center" valign="middle" >c-MET Status</th><th align="center" valign="middle" >PD-L1 Status</th><th align="center" valign="middle" >Outcome (Pembrolizumab)</th></tr></thead><tr><td align="center" valign="middle" >Mazieres et al. 2021 [<xref ref-type="bibr" rid="scirp.115862-ref23">23</xref>]</td><td align="center" valign="middle" >c-MET exon 14 skipping mutations (N = 36/551)</td><td align="center" valign="middle" >PD-L1 &gt; 1% in 66.8% of patients</td><td align="center" valign="middle" >ORR: 16% mPFS: 3.4 mo. mOS: 18 mo.</td></tr><tr><td align="center" valign="middle" >Sabari et al. 2018 [<xref ref-type="bibr" rid="scirp.115862-ref24">24</xref>]</td><td align="center" valign="middle" >c-MET exon 14 skipping mutations (N = 147)</td><td align="center" valign="middle" >PD-L1 &gt; 1% in 63% of patients</td><td align="center" valign="middle" >ORR: 17% mPFS: 1.9 mo. mOS: 18.2 mo.</td></tr><tr><td align="center" valign="middle" >Baba et al. 2019 [<xref ref-type="bibr" rid="scirp.115862-ref25">25</xref>] *</td><td align="center" valign="middle" >c-MET exon 14 skipping mutations (N = 1, case report)</td><td align="center" valign="middle" >PD-L1: 95%</td><td align="center" valign="middle" >refractory to IOs, responsive to chemotherapy</td></tr><tr><td align="center" valign="middle" >Reis et al. 2018 [<xref ref-type="bibr" rid="scirp.115862-ref26">26</xref>] *</td><td align="center" valign="middle" >c-MET exon 14 skipping mutations (N = 2, case report)</td><td align="center" valign="middle" >PD-L1: &gt;50% in both patients</td><td align="center" valign="middle" >refractory to pembrolizumab</td></tr></tbody></table></table-wrap><p>*not included in the analysis.</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Outcome of NSCLC patients harbouring c-MET exon 14 skipping mutations following first-line therapies with highly selective c-MET inhibitors</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Inhibitor</th><th align="center" valign="middle" >Study Design</th><th align="center" valign="middle" >ORR</th><th align="center" valign="middle" >mPFS</th><th align="center" valign="middle" >References</th></tr></thead><tr><td align="center" valign="middle" >Capmatinib</td><td align="center" valign="middle" >NCT02414139 (GEOMETRY mono-1), N = 364 (phase II), Capmatinib monotherapy</td><td align="center" valign="middle" >68.8%</td><td align="center" valign="middle" >12.5 mo.</td><td align="center" valign="middle" >Wolf et al. 2020 [<xref ref-type="bibr" rid="scirp.115862-ref3">3</xref>]</td></tr><tr><td align="center" valign="middle" >Tepotinib</td><td align="center" valign="middle" >NCT02864992 (VISION), N = 152 (phase II), Tepotinib monotherapy</td><td align="center" valign="middle" >44.9%</td><td align="center" valign="middle" >8.5 mo.</td><td align="center" valign="middle" >Paik et al. 2020 [<xref ref-type="bibr" rid="scirp.115862-ref4">4</xref>]</td></tr></tbody></table></table-wrap><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Comparison of approved TKIs for first- and second-line treatment of advanced or metastatic NSCLCs (FDA and EMA)</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Drug</th><th align="center" valign="middle" >Target</th><th align="center" valign="middle" >Treatment Line</th><th align="center" valign="middle" >ORR</th><th align="center" valign="middle" >mPFS</th></tr></thead><tr><td align="center" valign="middle" >1G: Gefitinib (Iressa<sup>&#174;</sup>)</td><td align="center" valign="middle" >EGFRmut</td><td align="center" valign="middle" >1<sup>st</sup> line</td><td align="center" valign="middle" >71.6%</td><td align="center" valign="middle" >9.2 months<sup>1</sup></td></tr><tr><td align="center" valign="middle" >1G: Erlotinib (Tarceva<sup>&#174;</sup>)</td><td align="center" valign="middle" >EGFRmut</td><td align="center" valign="middle" >1<sup>st</sup> line</td><td align="center" valign="middle" >54.5%</td><td align="center" valign="middle" >10.4 months<sup>2</sup></td></tr><tr><td align="center" valign="middle" >2G: Afatinib (Giotrif<sup>&#174;</sup>)</td><td align="center" valign="middle" >EGFRmut</td><td align="center" valign="middle" >1<sup>st</sup> line</td><td align="center" valign="middle" >67.8%</td><td align="center" valign="middle" >11.0 months<sup>3</sup></td></tr><tr><td align="center" valign="middle" >2G: Dacomitinib (Vizimpro<sup>&#174;</sup>)</td><td align="center" valign="middle" >EGFRmut</td><td align="center" valign="middle" >1<sup>st</sup> line</td><td align="center" valign="middle" >74.9%</td><td align="center" valign="middle" >14.7 months<sup>1</sup></td></tr><tr><td align="center" valign="middle" >3G: Osimertinib (Tagrisso<sup>&#174;</sup>)</td><td align="center" valign="middle" >EGFRmut</td><td align="center" valign="middle" >1<sup>st</sup> line 2<sup>nd</sup> line</td><td align="center" valign="middle" >80% 71%</td><td align="center" valign="middle" >18.9 months<sup>4 </sup> 10.1 months<sup>5</sup></td></tr><tr><td align="center" valign="middle" >1G: Crizotinib (Xalkori<sup>&#174;</sup>)</td><td align="center" valign="middle" >ALK</td><td align="center" valign="middle" >1<sup>st</sup> line 2<sup>nd</sup> line</td><td align="center" valign="middle" >74% 65%</td><td align="center" valign="middle" >10.9 months<sup>6</sup> 7.7 months<sup>7</sup></td></tr><tr><td align="center" valign="middle" >2G: Ceritinib (Zykladia<sup>&#174;</sup>)</td><td align="center" valign="middle" >ALK</td><td align="center" valign="middle" >1<sup>st</sup> line 2<sup>nd</sup> line</td><td align="center" valign="middle" >72.5% 39.1%</td><td align="center" valign="middle" >16.6 months<sup>8</sup> 5.4 months<sup>9</sup></td></tr><tr><td align="center" valign="middle" >3G: Alectinib (Alecensa<sup>&#174;</sup>)</td><td align="center" valign="middle" >ALK</td><td align="center" valign="middle" >1<sup>st</sup> line 2<sup>nd</sup> line</td><td align="center" valign="middle" >82.9% 51%</td><td align="center" valign="middle" >25.7 months<sup>10</sup> 8.3 months<sup>11</sup></td></tr><tr><td align="center" valign="middle" >3G: Brigatinib (Alunbrig<sup>&#174;</sup>)</td><td align="center" valign="middle" >ALK</td><td align="center" valign="middle" >1<sup>st</sup> line 2<sup>nd</sup> line</td><td align="center" valign="middle" >73.7% 56%</td><td align="center" valign="middle" >24 months<sup>12</sup> 16.7 months<sup>13</sup></td></tr><tr><td align="center" valign="middle" >4G: Lorlatinib (Lorviqua<sup>&#174;</sup>)</td><td align="center" valign="middle" >ALK</td><td align="center" valign="middle" >2<sup>nd</sup> line</td><td align="center" valign="middle" >42.9%</td><td align="center" valign="middle" >5.5 months<sup>14</sup></td></tr><tr><td align="center" valign="middle" >1G: Selpercatinib (Retsevmo<sup>&#174;</sup>)</td><td align="center" valign="middle" >RET</td><td align="center" valign="middle" >1<sup>st</sup> line</td><td align="center" valign="middle" >63.8%</td><td align="center" valign="middle" >17.5 months<sup>15</sup></td></tr><tr><td align="center" valign="middle" >1G: Pralsetinib (Gavreto<sup>&#174;</sup>)</td><td align="center" valign="middle" >RET</td><td align="center" valign="middle" >1<sup>st</sup> line</td><td align="center" valign="middle" >70%</td><td align="center" valign="middle" >9.0 months<sup>16</sup></td></tr></tbody></table></table-wrap><p>G: Generation; ORR: overall response rate; mPFS: medium progression-free survival; <sup>1</sup>ARCHER Study; <sup>2</sup>EURTAC Study; <sup>3</sup>LUX-Lung 6-Study; <sup>4</sup>FLAURA Study; <sup>5</sup>AURA3 Study; <sup>6</sup>1014 Study; <sup>7</sup>1007 Study; <sup>8</sup>ASCEND-4 Study; <sup>9</sup>ASCEND-5 Study; <sup>10</sup>ALEX Study; <sup>11</sup>NP28673 &amp; NP28761 Study; <sup>12</sup>ALTA IL Study; <sup>13</sup>ALTA Study; <sup>14</sup>NCT01970865; <sup>15</sup>LIBRETTO-001 Study; <sup>16</sup>ARROW Study; <sup>17</sup>VISION Study; <sup>18</sup>GEOMETRY-mono 1 Study.</p><table-wrap id="table7" ><label><xref ref-type="table" rid="table7">Table 7</xref></label><caption><title> Statistical calculations for the different treatment opportunities for advanced and metastatic NSCLC patients in comparison with the c-MET and chemotherapy subpopulation (Student t test, two-tailed unpaired). ORR: overall response rate; PFS: progression-free survival; PD-1: immunetherapy with anti-PD-1 monoclonal antibodies; PD-L1: immunotherapy with anti-PD-L1 monoclonal antibodies. N.A.: not applicable</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Treatment</th><th align="center" valign="middle" >Immunotherapy</th><th align="center" valign="middle" >Immunotherapy + Chemotherapy</th><th align="center" valign="middle" >Immunotherapy (c-MET mutation- positive)</th><th align="center" valign="middle" >c-MET mutations</th><th align="center" valign="middle" >EFGR mutations</th><th align="center" valign="middle" >ALK rearrangement</th><th align="center" valign="middle" >RET mutations</th></tr></thead><tr><td align="center" valign="middle" >Chemotherapy (ORR)</td><td align="center" valign="middle" >PD-1: p = 0.04 PD-L1: p = 0.016</td><td align="center" valign="middle" >PD-1: p = 0.0001 PD-L1: p = 0.0002</td><td align="center" valign="middle" >PD-1: p = 0.0018 PD-L1: N.A.</td><td align="center" valign="middle" >p = 0.0005</td><td align="center" valign="middle" >p &lt; 0.0001</td><td align="center" valign="middle" >p = 0.0001</td><td align="center" valign="middle" >p = 0.0001</td></tr><tr><td align="center" valign="middle" >Chemotherapy (PFS)</td><td align="center" valign="middle" >PD-1: p = 0.02 PD-L1: p = 0.03</td><td align="center" valign="middle" >PD-1: p = 0.0012 PD-L1: p = 0.0008</td><td align="center" valign="middle" >PD-1: p = 1.15 PD-L1: N.A.</td><td align="center" valign="middle" >p = 0.0002</td><td align="center" valign="middle" >p = 0.0007</td><td align="center" valign="middle" >p = 0.0056</td><td align="center" valign="middle" >p = 0.04</td></tr><tr><td align="center" valign="middle" >c-MET mutations (ORR)</td><td align="center" valign="middle" >PD-1: p = 0.12 PD-L1: p = 0.28</td><td align="center" valign="middle" >PD-1: p = 0.25 PD-L1: p = 0.47</td><td align="center" valign="middle" >N.A</td><td align="center" valign="middle" >N.A.</td><td align="center" valign="middle" >N.A.</td><td align="center" valign="middle" >N.A.</td><td align="center" valign="middle" >N.A.</td></tr><tr><td align="center" valign="middle" >c-MET mutations (PFS)</td><td align="center" valign="middle" >PD-1: p = 0.66 PD-L1: p = 0.79</td><td align="center" valign="middle" >PD-1: p = 0.13 PD-L1: p = 0.34</td><td align="center" valign="middle" >N.A</td><td align="center" valign="middle" >N.A.</td><td align="center" valign="middle" >N.A</td><td align="center" valign="middle" >N.A.</td><td align="center" valign="middle" >N.A.</td></tr><tr><td align="center" valign="middle" >Immunotherapy (c-MET mutation- positive) (ORR)</td><td align="center" valign="middle" >PD-1: p = 0.15</td><td align="center" valign="middle" >PD-1: p = 0.01</td><td align="center" valign="middle" >N.A.</td><td align="center" valign="middle" >PD-1: p = 0.07</td><td align="center" valign="middle" >N.A.</td><td align="center" valign="middle" >N.A.</td><td align="center" valign="middle" >N.A</td></tr><tr><td align="center" valign="middle" >Immunotherapy (c-MET mutation- positive) (PFS)</td><td align="center" valign="middle" >PD-1: p = 0.27</td><td align="center" valign="middle" >PD-1: p = 0.07</td><td align="center" valign="middle" >N.A.</td><td align="center" valign="middle" >PD-1: p = 0.07</td><td align="center" valign="middle" >N.A.</td><td align="center" valign="middle" >N.A.</td><td align="center" valign="middle" >N.A.</td></tr></tbody></table></table-wrap></sec><sec id="s4"><title>4. Discussion</title><p>The results presented here clearly demonstrate that treatment of advanced and metastatic NSCLC patients harbouring c-MET exon 14 skipping mutations with the novel and highly selective c-MET inhibitors is significantly superior (p &lt; 0.0001) when compared with standard chemotherapy. This finding adds weight to the proposal that these drugs represent the new first-line standard-of-care therapy for advanced and metastatic NSCLCs harbouring c-MET exon 14 skipping mutations sparing patients from the toxic effects of chemotherapy.</p><p>However, when c-MET inhibitors are compared with immunotherapy or the combination of immunotherapy and chemotherapy, no significant differences in terms of ORR and PFS were found. This can be explained, at least in part, by the fact that only two c-MET inhibitor phase II studies with a low number of patients enrolled were available for this analysis. Moreover, the c-MET status of almost all immunotherapy studies has not been confirmed suggesting that the “true” effect of immunotherapies in this patient population is somewhat impaired by the unknown c-MET status.</p><p>Of note, NSCLC patients harbouring c-MET alterations exert several clinicopathological features such as advanced age (frail patients), adeno histology, non-smoker, females, higher propensity for extrathoracic metastases, and finally worse prognosis [<xref ref-type="bibr" rid="scirp.115862-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref27">27</xref>]. Futhermore, treatment with immunotherapy did not appear to be particularly effective in NSCLC patients harbouring c-MET alterations—as a result the vast majority of these patients are, therefore, treated with immunotherapy plus chemotherapy [<xref ref-type="bibr" rid="scirp.115862-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref28">28</xref>].</p><p>In this regard two studies attempted to analyse the efficacy of checkpoint inhibitor (CPI) treatment of NSCLC patients harbouring c-MET exon 14 skipping mutations [<xref ref-type="bibr" rid="scirp.115862-ref24">24</xref>] [<xref ref-type="bibr" rid="scirp.115862-ref29">29</xref>]. Sabari and co-workers [<xref ref-type="bibr" rid="scirp.115862-ref24">24</xref>] analysed 24 NSCLC patients with c-MET exon 14 skipping mutations who received immunotherapy (22 patients with anti-PD-1 or anti-PD-L1 monotherapy, two patients received combination therapy of anti-PD-1 and anti-CTLA-4). First-line treatment was given in 11 patients, and 6 and 7 patients were treated with second and third-line protocols, respectively. Amongst these patients ORR was found to be only 17%; mPFS was 1.9 months, and OS was 18.9 months. Interestingly, the observed efficacy was neither associated with high PD-L1 levels (2/11 patients) nor with higher TMB (tumour mutational burden) (0/8 patients). In an additional study the same group of researchers [<xref ref-type="bibr" rid="scirp.115862-ref10">10</xref>] retrospectively analysed 551 NSCLC patients with oncogenic driver mutations in terms of their response to CPIs. The vast majority of patients had received PD-1 inhibitors [e.g., nivolumab (N = 466) and pembroizumab (N = 48)]) whereas the remaining 6% of patients were treated with atezolizumab (N = 19) or durvalumab (N = 11). Amongst all patients analysed, 36 patients had c-MET exon 14 skipping mutations (6.5%) and 11/36 of these patients revealed a higher PD-L1 expression level when compared with the overall population (30% vs. 10%). For all c-MET patients mPFS was 3.4 months, however, long-term responders were more frequently seen in the c-MET group (23.4%) when compared with other subgroups (e.g., 6.4% for EGFRmut) (56). OS was found to be 18.4 months and was not correlated with PD-L1 expression or number of prior therapies. Of note, mPFS in the c-MET subgroup was also not associated with c-MET exon 14 skipping mutations or other c-MET alterations [<xref ref-type="bibr" rid="scirp.115862-ref10">10</xref>].</p><p>As for both modalities (c-MET inhibitors versus immunotherapy plus chemotherapy) no differences in terms of ORR and mPFS were found in our study presented here, this clearly highlights the need to treat these patients with more tolerable c-MET inhibitors sparing them from the toxic effects of chemotherapy.</p><p>It appears that demonstrating a mOS benefit with c-MET inhibitors in NSCLC patients harbouring c-MET alterations through a prospective, randomized clinical trial may be difficult for several reasons. Most clinical trials comparing targeted therapy to standard chemotherapy have failed to show an OS benefit, largely due to patient crossover from one treatment arm to the other or because of availability of other approved or investigational agents administered after disease progression [<xref ref-type="bibr" rid="scirp.115862-ref28">28</xref>]. Moreover, randomized trials comparing a c-MET inhibitor with chemotherapy may also be hampered due to slow patient accrual.</p><p>Some lines of evidence provided by a retrospective analysis suggest that c-MET inhibitors may prolong mOS. Awad et al. [<xref ref-type="bibr" rid="scirp.115862-ref28">28</xref>] conducted a multicenter retrospective analysis of NSCLC patients (N = 148) harbouring c-MET exon 14 skipping mutations to determine if treatment with c-MET inhibitors impacts mOS. Of the 34 metastatic patients who never received a c-MET inhibitor, mOS was found to be 8.1 months; those in this group with concurrent c-MET amplification had a trend toward worse survival compared to cancers without c-MET amplification (5.2 months vs. 10.5 months, P = 0.06). Of the 27 metastatic patients who received at least one c-MET inhibitor mOS was reported to be 24.6 months [<xref ref-type="bibr" rid="scirp.115862-ref28">28</xref>] which is in line with the mOS reported in some cohorts of the GEOMETRY-1 trial. From this study the authors concluded that in NSCLC patients harbouring c-MET exon 14 skipping mutations treatment with a c-MET inhibitors is associated with an improvement of mOS.</p><p>It is currently unknown whether this holds true in a prospective setting, and answering this question prospectively through randomized phase III clinical trials is clearly needed, but will be challenging (e.g., cross-over, slow recruitment etc.).</p><p>Very few studies investigated the efficacy of immunotherapies (mainly anti-PD-1) in advanced or metastatic NSCLC patients with a confirmed c-MET status (exon 14 skipping mutations). Although these patients are generally considered to have a poorer outcome following immunotherapy treatment, the difference did not reach the level of statistical significance in our analysis. However, the results should be interpreted with caution as the sample size was low and the studies were retrospectively designed.</p><p>Furthermore, the results also suggest that c-MET alterations (i.e., c-MET exon 14 skipping mutations) may be an optimal predictive biomarker (besides PD-L1 expression and TMB) and should be explored further for immunotherapy response for NSCLCs with c-MET exon 14 mutations.</p><p>Of note, this analysis has some limitations. First, trials with c-MET inhibitors were non-randomized phase II trials with no control arm, and a limited number of patients which might influence the results reported here. Second, the vast majority of all trials in this setting excluded specific alteration such as EGFR- and RET-mutations as well as ALK fusions. Moreover, c-MET status in these trials was not determined which might “dilute” results seen in this analysis. On the other hand, c-MET mutations are rare and only seen in 2% - 4% of NSCLC patients suggesting that they are negligible in this regard. Third, only two studies, albeit retrospective, addressed this issue (<xref ref-type="table" rid="table4">Table 4</xref>), however, number of patients again was low. As the t test applied in our study basically assigns the same weight to each estimate, it cannot be ruled out that some studies may be more precise (and reliable) than others since larger larger studies could have more “influence” than smaller ones. To address this point, a meta-analysis is currently conducted by our group.</p><p>Finally, with the evident clinical activity of c-MET inhibitors such as capmatinib or tepotinib combination of c-MET inhibitors with immune checkpoint inhibitors might be a promising treatment strategy for first-line treatment of NSCLCs harbouring c-MET exon 14 skipping mutations. With the confirmation of c-MET exon 14 skipping mutations as a bona fide target in NSCLC, careful consideration on sequencing and combining therapies becomes crucial. A treatment algorithm based on the results presented here is shown in <xref ref-type="fig" rid="fig2">Figure 2</xref>.</p><p>Accordingly, there are also ongoing trials to address these questions. Phase II trials of capmatinib after resistance to prior c-MET tyrosine kinase inhibitors (NCT02750215) and capmatinib in combination with immunotherapy with spartalizumab (NCT04323436) are examples of currently recruiting or planned trials.</p></sec><sec id="s5"><title>5. Conclusion</title><p>The novel and highly selective c-MET inhibitors capmatinib and tepotinib are promising novel treatment options for patients with c-MET-dysregulated NSCLC primarily in the first-line setting. Based on the current data, the routine testing of c-MET exon 14 skipping mutations in stage IV non-squamous NSCLC is strongly recommended as the GEOMETRY mono-1 data, which clearly showed higher response rates with capmatinib in treatment-naive than in pretreated patients, indicating that c-MET exon 14 skipping mutations should preferably be molecularly assessed at baseline. C-MET exon 14 skipping mutations are, therefore, clear biomarkers of response to c-MET inhibitors.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>Drs. Dempke, Bassim, and Murphy are employees of Worldwide Clinical Trials Inc. Dr. Reuther has no conflicts of interest to declare.</p></sec><sec id="s7"><title>Cite this paper</title><p>Reuther, S., Bassani, N., Murphy, M.F. and Dempke, W. (2022) C-MET Inhibitors as New Members of the NSCLC Treatment Armamentarium— A Pooled Analysis. 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