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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2022.852583</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Liquid Biopsy-Driven Cetuximab Rechallenge Strategy in Molecularly Selected Metastatic Colorectal Cancer Patients</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Mariani</surname>
<given-names>Stefano</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1627754"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Puzzoni</surname>
<given-names>Marco</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Giampieri</surname>
<given-names>Riccardo</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/730136"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ziranu</surname>
<given-names>Pina</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1345428"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pusceddu</surname>
<given-names>Valeria</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1751781"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Donisi</surname>
<given-names>Clelia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1072911"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Persano</surname>
<given-names>Mara</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1695437"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pinna</surname>
<given-names>Giovanna</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cimbro</surname>
<given-names>Erika</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Parrino</surname>
<given-names>Alissa</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1667214"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Spanu</surname>
<given-names>Dario</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pretta</surname>
<given-names>Andrea</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1751695"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lai</surname>
<given-names>Eleonora</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1055609"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liscia</surname>
<given-names>Nicole</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lupi</surname>
<given-names>Alessio</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1489318"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Giglio</surname>
<given-names>Enrica</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Palomba</surname>
<given-names>Grazia</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/842084"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Casula</surname>
<given-names>Milena</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/260880"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pisano</surname>
<given-names>Marina</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1319364"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Palmieri</surname>
<given-names>Giuseppe</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/226775"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Scartozzi</surname>
<given-names>Mario</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Azienda Ospedaliera Universitaria (AOU) Cagliari, University Hospital and University of Cagliari</institution>, <addr-line>Cagliari</addr-line>, <country>Italy</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Medical Oncology Unit, University Hospital and Universit&#xe0; Politecnica delle Marche</institution>, <addr-line>Ancona</addr-line>, <country>Italy</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Unit of Cancer Genetics and Institute of Biomolecular Chemistry (ICB), National Research Council (CNR)</institution>, <addr-line>Sassari</addr-line>, <country>Italy</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Nadia M. Hamdy, Ain Shams University, Egypt</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Bruno Vincenzi, Campus Bio-Medico University, Italy; Helmout Modjathedi, Kingston University, United Kingdom</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Mario Scartozzi, <email xlink:href="mailto:marioscartozzi@gmail.com">marioscartozzi@gmail.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Gastrointestinal Cancers: Colorectal Cancer, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>852583</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Mariani, Puzzoni, Giampieri, Ziranu, Pusceddu, Donisi, Persano, Pinna, Cimbro, Parrino, Spanu, Pretta, Lai, Liscia, Lupi, Giglio, Palomba, Casula, Pisano, Palmieri and Scartozzi</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Mariani, Puzzoni, Giampieri, Ziranu, Pusceddu, Donisi, Persano, Pinna, Cimbro, Parrino, Spanu, Pretta, Lai, Liscia, Lupi, Giglio, Palomba, Casula, Pisano, Palmieri and Scartozzi</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Rechallenge with EGFR inhibitors represents a promising strategy for patients with RAS wild type (WT) colorectal cancer (CRC) but definitive selection criteria are lacking. Recently, the RAS WT status on circulating tumor DNA (ct-DNA) emerged as a potential watershed for this strategy. Our study explored the liquid biopsy-driven cetuximab rechallenge in a RAS and BRAF WT selected population.</p>
</sec>
<sec>
<title>Methods</title>
<p>CRC patients with RAS and BRAF WT both on tumor tissue and on ct-DNA at baseline receiving rechallenge with cetuximab were eligible for our analysis. Ct-DNA was analyzed for RAS-BRAF mutations with pyro-sequencing and nucleotide sequencing assays. Real-time PCR and droplet digital PCR were performed to confirm the RAS-BRAF mutational status.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 26 patients were included in our analysis. In the global population, RR was 25.0%, median overall survival (mOS) was 5.0 months, and median progression-free survival (mPFS) was 3.5 months. Previous response to anti-EGFR was associated with improved mPFS (5.0 vs. 2.0 months, HR: 0.26, <italic>p</italic> = 0.048); anti-EGFR free interval &gt; 14 months and anti-EGFR free interval &gt; 16 months were associated with improved mPFS (respectively 7.0 vs. 3.0 months, HR: 0.27, <italic>p</italic> = 0.013 and not reached vs. 3.0 months, HR: 0.20, <italic>p</italic> = 0.002) and with improved mOS (respectively 13.0 vs. 5.0 months, HR: 0.27, <italic>p</italic> = 0.013 and 13.0 vs. 5.0 months, HR: 0.20, <italic>p</italic> = 0.002). Previous lines &gt;2 were correlated with improved mPFS (4.0 vs. 1.0 month, HR: 0.05, <italic>p</italic> = 0.041) and with improved mOS (7.0 vs. 1.0 month, HR: 0.045, <italic>p</italic> = 0.034). In a multiple logistic regression model, only the anti-EGFR free interval was confirmed to be a significant predictor for mOS and mPFS.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Liquid biopsy-driven cetuximab rechallenge was confirmed to be effective. The clinical outcome was consistent with available results from phase II studies. In addition to the molecular selection through the analysis of ct-DNA for RAS, the long anti-EGFR free interval is confirmed as a prospective selection criterion for this therapeutic option.</p>
</sec>
</abstract>
<kwd-group>
<kwd>colorectal (colon) cancer</kwd>
<kwd>epidermal growth factor receptor (EGFR)</kwd>
<kwd>RAS</kwd>
<kwd>liquid biopsy</kwd>
<kwd>rechallenge</kwd>
<kwd>cetuximab</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="14"/>
<page-count count="7"/>
<word-count count="3511"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Background</title>
<p>The anti-epidermal growth factor receptor (EGFR) antibodies (i.e., cetuximab and panitumumab) have a key role in the treatment of metastatic colorectal cancer. The resistance to anti-EGFR antibodies represents a challenging issue in this context. In particular the genetic heterogeneity of colorectal cancer along with the dynamic nature of tumor biology are at the basis of secondary resistance to EGFR blockade (<xref ref-type="bibr" rid="B1">1</xref>). The mechanism underlying the secondary resistance to EGFR blockade, although not yet fully understood, seems to be linked to the emergence of EGFR downstream pathway mutation including RAS mutations (<xref ref-type="bibr" rid="B2">2</xref>) and EGFR mutations (<xref ref-type="bibr" rid="B3">3</xref>). The K- and N-RAS&#xa0;mutations, in this respect, are the most important mediators of secondary resistance to&#xa0;EGFR&#xa0;blockade, and they can be detected by circulating cell-free tumor DNA analysis (<xref ref-type="bibr" rid="B2">2</xref>). The RAS and EGFR mutant alleles emerging at the time of disease progression to EGFR blockade have been shown to decline in blood during EGFR blockade suspension (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). This biological phenomenon can be predicted by an exponential decay model (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>The rechallenge strategy with anti-EGFR might then represent a promising therapeutic weapon aiming to overcome secondary resistance to anti-EGFR in the light of the knowledge about the pulsatile behavior of RAS clones under EGFR blockade pressure. The basic idea supporting the concept of rechallenge with anti-EGFR is the possibility to successfully treat patients previously exposed and resistant to such drugs after an anti-EGFR interval in which tumor cells may have gone back to prevalent RAS wild-type (WT) status after developing a prevalent RAS mutant status due to anti-EGFR pressure.</p>
<p>Santini et&#xa0;al. (<xref ref-type="bibr" rid="B6">6</xref>) firstly investigated the activity of rechallenge with a cetuximab-based therapy in metastatic colorectal cancer patients achieving encouraging results in terms of clinical outcome. Response rate (RR) was 53.8% and median progression-free survival (mPFS) was 6.6 months.</p>
<p>Subsequently, Cremolini et&#xa0;al. (<xref ref-type="bibr" rid="B7">7</xref>) prospectively assessed the activity of cetuximab plus irinotecan as third-line treatment for patients with strict clinical criteria (i.e., prior first-line irinotecan and cetuximab-based regimen with at least partial response, progression-free survival of at least 6 months with first-line therapy, progression within 4 weeks after last dose of cetuximab, and prior second-line oxaliplatin and bevacizumab-based treatment). In the global population, RR was 21%, median PFS was 3.4 months, and median overall survival (OS) was 9.8 months. Particularly noteworthy was the finding of improved mPFS for patients with RAS wild-type ct-DNA (4.0 vs. 1.9 months, <italic>p</italic> = 0.03).</p>
<p>Similarly, Masuishi et&#xa0;al. (<xref ref-type="bibr" rid="B8">8</xref>) conducted a phase II trial of irinotecan-cetuximab rechallenge as third line confirming the clinical activity of this treatment strategy (3-month PFS rate was 44.1%, mPFS was 2.4 months, and mOS was 8.2 months). The long anti-EGFR free interval (&gt;372 days) was related to an improved outcome in terms of RR, OS, and PFS.</p>
<p>Results from CHRONOS, a multicenter phase II trial of liquid biopsy-driven anti-EGFR rechallenge with panitumumab (<xref ref-type="bibr" rid="B9">9</xref>), have been presented at the ASCO 2021 annual meeting. Molecular inclusion criteria for enrolment in this study were very restrictive (patients showing a &gt;50% drop in RAS mutational load compared to baseline were considered molecularly eligible). The study met the primary endpoint; overall response rate (ORR) was 30%, mPFS was 16 weeks, and, interestingly, response occurred independently of number of prior treatments and sidedness. Furthermore, the presence of resistance conferring mutations and responses were independent of the time since last anti-EGFR.</p>
<p>However, selection criteria allowing clinicians to reliably select patients most likely to benefit from such a treatment approach are yet to be defined. This is of particular clinical relevance when we consider that metastatic colorectal cancer patients who are potential candidates for a rechallenge with anti-EGFR may also be eligible, at the same time, for other therapeutic options with higher level of evidence (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). In this scenario, liquid biopsy for RAS and BRAF mutational status should be considered a valuable criteria for patient selection (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B9">9</xref>), as well as the hypothesis of delaying the introduction of rechallenge with anti-EGFR in order to both expose the patient to treatment options with phase III evidence (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>) of activity and take advantage of a longer anti-EGFR free interval.</p>
<p>Further studies are urgently needed to better understand the prognostic and predictive factors along with the better timeline for rechallenge strategy. The present study explored the role of liquid biopsy-driven rechallenge strategy with EGFR blockade in molecularly and clinically selected metastatic colorectal cancer patients.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<p>We conducted a multicenter retrospective analysis in patients with molecularly selected colorectal cancer who underwent rechallenge with anti-EGFR antibodies. The aim of the study was to evaluate the correlation of several putative predictive/prognostic factors for rechallenge strategy with clinical outcome. Patients were included in our analysis if they met the following criteria: histologically confirmed RAS and BRAF wild-type colorectal cancer, first-line anti-EGFR-based therapy with documentation of progression to first-line therapy within 4 weeks after the last administration of anti-EGFR, rechallenge with anti-EGFR antibody (e.g., irinotecan + cetuximab or cetuximab monotherapy), and measurable disease according to Response Evaluation Criteria in Solid Tumors (RECIST) version 1.1. To be eligible, patients must also have circulating tumor DNA (ct-DNA) RAS-BRAF WT profile at the rechallenge baseline. The ct-DNA was analyzed at the rechallenge baseline for RAS-BRAF mutations using pyro-sequencing (PyroMark Q24 MDx Workstation) and nucleotide sequencing (Genetic Analyzer ABI3130) assays. Real-time PCR (Idylla) and droplet digital PCR (QX200 System) were performed to confirm the RAS-BRAF mutation status. The limit of detection for RAS BRAF mutations was 5%. Tumor response was evaluated by clinicians&#x2019; assessment according to the Response Evaluation Criteria in Solid Tumors (RECIST v1.1). Several clinical variables including previous response to anti-EGFR containing therapy, anti-EGFR free interval, and previous lines for metastatic disease &gt; 2 were evaluated in relation to outcome in terms of RR, mPFS, and mOS. Statistical analysis was performed with the MedCalc Statistical Software version 14.10.2 (MedCalc Software bvba, Ostend, Belgium; <uri xlink:href="http://www.medcalc.org">http://www.medcalc.org</uri>; 2014). For study purposes, the optimal anti-EGFR free interval threshold was defined according to receiver operating characteristic (ROC) curve analysis. The association between categorical variables was estimated by Fisher exact test for categorical binomial variables. Survival probability over time was estimated by the Kaplan&#x2013;Meier method. Significant differences in the probability of survival between the strata were evaluated by log-rank test. Multiple logistic regression was used to assess the role of significant variables in the univariate analysis. The study was performed in accordance with the protocol, which was approved by the AOU Cagliari Ethical committee (approval number: 3.32 n.14 28/04/21) along with all experimental procedures. Written informed consent was obtained for all patients enrolled into the analysis, and methods were carried out in accordance with the Declaration of Helsinki.</p>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>A total of 26 patients with RAS-BRAF wild-type metastatic colorectal cancer receiving rechallenge with cetuximab between July 2018 and February 2021 were included in our analysis. All patients had RAS-BRAF wild-type status on ct-DNA at baseline. Overall clinical and pathological characteristics are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The median follow-up duration was 6.0 months (95% CI for the median 4.1 to 11.3). The most common treatment-related adverse events of any grade were skin rash (81%), diarrhea (35%), neutropenia (19%), and fatigue (12%). The most common grade 3 adverse event was neutropenia (8%). No grade 4 adverse events occurred.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Overall clinical and pathological characteristics.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Number of patients</th>
<th valign="top" align="center">26</th>
<th valign="top" colspan="2" align="center"/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="left">Gender</td>
<td valign="top" align="center">Male</td>
<td valign="top" colspan="2" align="center">20 (76.9%)</td>
</tr>
<tr>
<td valign="top" align="center">Female</td>
<td valign="top" colspan="2" align="center">6 (23.1%)</td>
</tr>
<tr>
<td valign="top" align="left">Median age</td>
<td valign="top" align="center">67 years</td>
<td valign="top" colspan="2" align="center">(95% CI: 62.5&#x2013;73.0)</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">ECOG Performance Status</td>
<td valign="top" align="center">0</td>
<td valign="top" colspan="2" align="center">8 (30.7%)</td>
</tr>
<tr>
<td valign="top" align="center">1</td>
<td valign="top" colspan="2" align="center">10 (38.5%)</td>
</tr>
<tr>
<td valign="top" align="center">2</td>
<td valign="top" colspan="2" align="center">8 (30.7%)</td>
</tr>
<tr>
<td valign="top" align="left">RAS/BRAF WT status on tissue sample at diagnosis</td>
<td valign="top" align="center">100%</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="top" align="left">RAS/BRAF WT status on ct DNA at baseline</td>
<td valign="top" align="center">100%</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Site of primary tumor</td>
<td valign="top" align="center">Left sided</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">(96.1%)</td>
</tr>
<tr>
<td valign="top" align="center">Right sided</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">(3.8%)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Prior resection of the primary tumor</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">(30.8%)</td>
</tr>
<tr>
<td valign="top" align="center">No</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">(69.2%)</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Metastatic sites</td>
<td valign="top" align="center">Liver limited</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">(26.92%)</td>
</tr>
<tr>
<td valign="top" align="center">Lung limited</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">(15.38%)</td>
</tr>
<tr>
<td valign="top" align="center">Multivisceral</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">(57.7%)</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Previous lines for metastatic disease</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">(7.7%)</td>
</tr>
<tr>
<td valign="top" align="center">3</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">(50%)</td>
</tr>
<tr>
<td valign="top" align="center">4</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">(42.3%)</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">First-line treatment</td>
<td valign="top" align="center">Oxaliplatin based</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">(60.9%)</td>
</tr>
<tr>
<td valign="top" align="center">Irinotecan based</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">(30.8%)</td>
</tr>
<tr>
<td valign="top" align="center">Cetuximab</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">(30.8%)</td>
</tr>
<tr>
<td valign="top" align="center">Panitumumab</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">(69.2%)</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Best response to first-line treatment</td>
<td valign="top" align="center">PD</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">(19.2%)</td>
</tr>
<tr>
<td valign="top" align="center">RC</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">(0%)</td>
</tr>
<tr>
<td valign="top" align="center">RP</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">(65.4%)</td>
</tr>
<tr>
<td valign="top" align="center">SD</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">(15.4%)</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Second-line treatment</td>
<td valign="top" align="center">Oxaliplatin based</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">(15.4%)</td>
</tr>
<tr>
<td valign="top" align="center">Irinotecan based</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">(73.1%)</td>
</tr>
<tr>
<td valign="top" align="center">Bevacizumab</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">(52.2%)</td>
</tr>
<tr>
<td valign="top" align="center">Aflibercept</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">(39.1%)</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Best response to second-line treatment</td>
<td valign="top" align="center">PD</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">(23%)</td>
</tr>
<tr>
<td valign="top" align="center">RC</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">(0%)</td>
</tr>
<tr>
<td valign="top" align="center">RP</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">(38.5%)</td>
</tr>
<tr>
<td valign="top" align="center">SD</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">(38.5%)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Rechallenge regimen</td>
<td valign="top" align="center">Irinotecan + cetuximab</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">(73.1%)</td>
</tr>
<tr>
<td valign="top" align="center">Cetuximab</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">(26.9%)</td>
</tr>
<tr>
<td valign="top" align="left">Median anti-EGFR free interval</td>
<td valign="top" align="center">11.5 months</td>
<td valign="top" colspan="2" align="center">(95% CI: 9.5&#x2013;16.0)</td>
</tr>
<tr>
<td valign="top" align="left">Response rate</td>
<td valign="top" align="center">25.0%</td>
<td valign="top" colspan="2" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Median overall survival</td>
<td valign="top" align="center">5.0 months</td>
<td valign="top" colspan="2" align="center">(95% CI: 4.0&#x2013;11.7 months)</td>
</tr>
<tr>
<td valign="top" align="left">Median progression-free survival</td>
<td valign="top" align="center">3.5 months</td>
<td valign="top" colspan="2" align="center">(95% CI: 2.5&#x2013;6.0 months)</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Long anti-EGFR free interval, previous response to anti-EGFR therapy, and previous lines &gt;2 for metastatic disease were associated with clinical outcome in the univariate analysis. In particular, the previous response to anti-EGFR was associated with improved mPFS (5.0 vs. 2.0 months, HR: 0.26, <italic>p</italic>&#xa0;= 0.048); long anti-EGFR free interval &gt; 14 months and long anti-EGFR free interval &gt; 16 months were correlated with improved mPFS (respectively 7.0 vs. 3.0 months, HR: 0.27, <italic>p</italic> = 0.013 and not reached vs. 3.0 months, HR: 0.20, <italic>p</italic> = 0.002) and with mOS (respectively 13.0 vs. 5.0 months, HR: 0.27, <italic>p</italic> = 0.013 and 13.0 vs. 5.0 months, HR: 0.20, <italic>p</italic> = 0.002). Previous lines &gt;2 for metastatic disease were correlated with improved mPFS (4.0 vs. 1.0, HR: 0.05, <italic>p</italic> = 0.041) and mOS (7.0 vs. 1.0 months, HR: 0.045 <italic>p</italic> = 0.034). The optimal anti-EGFR free interval threshold identified for predicting prognosis was 14 months (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>), whereas the optimal anti-EGFR free interval threshold identified for predicting response was 16 months (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Prior responders with longer anti-EGFR free interval experienced the best clinical outcome in terms of RR, mPFS, and mOS (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>) to rechallenge strategy in our clinical series (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). </p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>ROC curve of anti-EGFR free-time predictive of prognosis with rechallenge treatment (AUC 0.81, <italic>p</italic> &lt; 0.001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-852583-g001.tif"/>
</fig>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>ROC curve of anti-EGFR free-time predictive of response with rechallenge treatment (AUC 0.852; <italic>p</italic> &lt; 0.001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-852583-g002.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Clinical outcome results according to several clinical factors.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">RR</th>
<th valign="top" align="center">
<italic>p</italic>
</th>
<th valign="top" align="center">PFS (months)</th>
<th valign="top" align="center">HR</th>
<th valign="top" align="center">
<italic>p</italic>
</th>
<th valign="top" align="center">OS (months)</th>
<th valign="top" align="center">HR</th>
<th valign="top" align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Anti-EGFR free interval 14 months</bold>
<break/>&#x2022; &gt;14 months<break/>&#x2022; &#x2264;14 months</td>
<td valign="top" align="left">36.4%<break/>13.3%</td>
<td valign="top" align="left">0.347</td>
<td valign="top" align="left">7.0 (95% CI: 4.0&#x2013;9.0)<break/>3.0 (95% CI: 1.0&#x2013;3.0)</td>
<td valign="top" align="left">0.27</td>
<td valign="top" align="left">0.013</td>
<td valign="top" align="left">13.0 (95% CI: 4.0&#x2013;13.0)<break/>5.0 (95% CI: 2.0&#x2013;21.0)</td>
<td valign="top" align="left">0.28</td>
<td valign="top" align="left">0.019</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Anti-EGFR free interval 16 months</bold>
<break/>&#x2022; &gt;16 months<break/>&#x2022; &#x2264;16 months</td>
<td valign="top" align="left">44.4%<break/>11.8%</td>
<td valign="top" align="left">0.137</td>
<td valign="top" align="left">not reached<break/>3.0 (95% 95% CI: 2.0&#x2013;9.0)</td>
<td valign="top" align="left">0.20</td>
<td valign="top" align="left">0.002</td>
<td valign="top" align="left">13.0 (95% CI: 3.0&#x2013;13.0)<break/>5.0 (95% CI: 3.0&#x2013;21.0)</td>
<td valign="top" align="left">0.35</td>
<td valign="top" align="left">0.042</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous response to anti-EGFR</bold>
<break/>&#x2022; <bold>prior responders</bold>
<break/>&#x2022; <bold>prior non responders</bold>
</td>
<td valign="top" align="left">25.0%<break/>16.7%</td>
<td valign="top" align="left">1.000</td>
<td valign="top" align="left">5.0 (95% CI: 3.0&#x2013;9.0)<break/>2.0 (95% CI: 1.0&#x2013;9.0)</td>
<td valign="top" align="left">0.26</td>
<td valign="top" align="left">0.048</td>
<td valign="top" align="left">7.0 (95% CI: 5.0&#x2013;13.0)<break/>5.0 (95% CI: 2.0&#x2013;21.0)</td>
<td valign="top" align="left">0.57</td>
<td valign="top" align="left">0.36</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Prior responders/Anti-EGFR free interval &gt; 14 months</bold>
<break/>&#x2022; yes<break/>&#x2022; no</td>
<td valign="top" align="left">44.4%<break/>11.8%</td>
<td valign="top" align="left">0.137</td>
<td valign="top" align="left">3.0 (95% CI: 2.0&#x2013;9.0)<break/>not reached</td>
<td valign="top" align="left">0.21</td>
<td valign="top" align="left">0.0035</td>
<td valign="top" align="left">not reached<break/>5.0 (95% CI: 3.0&#x2013;21.0)</td>
<td valign="top" align="left">0.28</td>
<td valign="top" align="left">0.014</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Prior responders/Anti-EGFR free interval &gt; 16 months</bold>
<break/>&#x2022; yes<break/>&#x2022; no</td>
<td valign="top" align="left">57.1%<break/>10.5%</td>
<td valign="top" align="left">0.027</td>
<td valign="top" align="left">not reached<break/>3.0 (95% CI: 2.0&#x2013;9.0)</td>
<td valign="top" align="left">0.14</td>
<td valign="top" align="left">0.0003</td>
<td valign="top" align="left">not reached<break/>5.0 (95% CI: 3.0&#x2013;21.0)</td>
<td valign="top" align="left">0.30</td>
<td valign="top" align="left">0.026</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Oligometastatic disease lung limited</bold>
<break/>&#x2022; <bold>yes</bold>
<break/>&#x2022; <bold>no</bold>
</td>
<td valign="top" align="left">60.0%<break/>14.3%</td>
<td valign="top" align="left">0.062</td>
<td valign="top" align="left">4.0 (95% CI: 2.0&#x2013;4.0)<break/>4.0 (95% CI:3.0&#x2013;7.0)</td>
<td valign="top" align="left">1.61</td>
<td valign="top" align="left">0.420</td>
<td valign="top" align="left">12.0 (95% CI: 4.0&#x2013;21.0)<break/>5.0 (95% CI: 2.0&#x2013;13.0)</td>
<td valign="top" align="left">0.38</td>
<td valign="top" align="left">0.120</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Oligometastatic disease liver limited</bold>
<break/>&#x2022; <bold>yes</bold>
<break/>&#x2022; <bold>no</bold>
</td>
<td valign="top" align="left">20%<break/>23.8%</td>
<td valign="top" align="left">1.00</td>
<td valign="top" align="left">4.0 (95% CI: 1.0&#x2013;7.0)<break/>4.0 (95% CI: 3.00&#x2013;9.00)</td>
<td valign="top" align="left">1.36</td>
<td valign="top" align="left">0.638</td>
<td valign="top" align="left">5.0 (95% CI: 2.0&#x2013;13.0)<break/>7.0 (95% CI: 4.0&#x2013;21.0)</td>
<td valign="top" align="left">1.21</td>
<td valign="top" align="left">0.759</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Previous lines for metastatic disease</bold>
<break/>&#x2022; <bold>2</bold>
<break/>&#x2022; <bold>&gt;2</bold>
</td>
<td valign="top" align="left">0.0%<break/>25.0%</td>
<td valign="top" align="left">1.00</td>
<td valign="top" align="left">1.0 (95% CI: 1.0&#x2013;3.0)<break/>4.0 (95% CI: 3.0&#x2013;9.0)</td>
<td valign="top" align="left">0.05</td>
<td valign="top" align="left">0.041</td>
<td valign="top" align="left">1.0 (95% CI: 1.0&#x2013;5.0)<break/>7.0 (95% CI: 5.0&#x2013;21.0)</td>
<td valign="top" align="left">0.04</td>
<td valign="top" align="left">0.034</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Rechallenge regimen</bold>
<break/>&#x2022; <bold>Irinotecan + cetuximab</bold>
<break/>&#x2022; <bold>Cetuximab</bold>
</td>
<td valign="top" align="left">26.3%<break/>14.3%</td>
<td valign="top" align="left">0.52</td>
<td valign="top" align="left">6.0 (95% CI: 4.6.0&#x2013;8.2)<break/>4.0 (95% CI: 4.1.0&#x2013;7.2)</td>
<td valign="top" align="left">0.12</td>
<td valign="top" align="left">0.50</td>
<td valign="top" align="left">6.0 (95% CI: 6.7&#x2013;14.8)<break/>7.0 (95% CI: 4.3&#x2013;12.9)</td>
<td valign="top" align="left">0.9</td>
<td valign="top" align="left">0.97</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Response rate, progression-free survival, and overall survival according to anti-EGFR free interval &gt; 14 months, anti-EGFR free interval &gt; 16 months, previous response to anti-EGFR, prior responders with anti-EGFR free interval &gt; 14 months, prior responders/anti-EGFR free interval &gt; 16 months, oligometastatic disease (lung limited or liver limited), and previous lines for metastatic disease.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>CT scan of a patient treated with rechallenge strategy after &gt;2 prior lines of treatment and an anti-EGFR free interval &gt; 16 months.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-852583-g003.tif"/>
</fig>
<p>In a multiple logistic regression model, the anti-EGFR free interval &gt;16 months as well as the anti-EGFR free interval &gt;14, among the variables (i.e., long anti-EGFR free interval, previous response to anti-EGFR treatment, and previous lines &gt;2 for metastatic disease), maintained their independent role for OS (<italic>p</italic> = 0.033 and <italic>p</italic> = 0.028, respectively). Likewise, the anti-EGFR free interval &gt;16 months maintained the independent role for PFS (<italic>p</italic> = 0.020) among the significant variables in the univariate analysis (i.e., long anti-EGFR free interval, previous response to anti-EGFR treatment, and previous lines &gt;2 for metastatic disease). None of them were statistically correlated to RR at multivariate analysis.</p>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The rechallenge strategy with anti-EGFR antibodies can boast a plausible biological rationale along with promising results both from retrospective (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>) and from phase II studies (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). However, prognostic and predictive factors, both molecular and clinical, along with the most effective treatment&#x2019;s timeline are not yet fully defined. The response to previous anti-EGFR blockade and the anti-EGFR free interval are among the most studied prognostic and predictive factors for clinical-based rechallenge strategy. The genetic selection through ct-DNA analysis for RAS status, however, represents the most important tool in guiding patient selection, and the liquid biopsy-driven rechallenge with anti-EGFR showed improved outcome compared to clinical-based rechallenge strategy (<xref ref-type="bibr" rid="B9">9</xref>). Though the design of phase II trials investigating the rechallenge with anti-EGFR suggests a role in a third-line setting, a number of previous lines &gt;2 (<xref ref-type="bibr" rid="B12">12</xref>) and longer anti-EGFR free interval (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>) were associated with improved clinical outcome. This suggests a possible usage in later lines (i.e., &gt;3). Moreover, in clinical practice, rechallenge with anti-EGFR blockade is often used in later lines, whereas in third- and fourth-line settings, regorafenib and trifluridine-tipiracil are the preferred options on the basis of the phase III clinical trial data.</p>
<p>In the present study, we explored the rechallenge strategy with cetuximab-based therapy in clinically and molecularly selected, heavily pretreated (i.e., 92.3% received rechallenge with anti-EGFR in fourth- or fifth-line therapy) colorectal cancer patients. Notably, the response rate and the mPFS reported in the heavily pretreated population (i.e., RR: 25.0%, mPFS: 3.5 months) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>) is worth mentioning and consistent with already available literature data from phase II studies.</p>
<p>Previous response to anti-EGFR, long anti-EGFR free interval, and previous lines &gt;2 were correlated to better clinical outcome in our clinical series. In particular, previous responders with longer anti-EGFR free interval (i.e., &gt;16 months) achieved the best outcome from rechallenge with anti-EGFR. PFS and OS were significantly longer in patients with long anti-EGFR free interval, consistent with results from phase II trials of clinical-driven rechallenge with anti-EGFR (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). A number of previous lines &gt;2 were associated with improved outcome (i.e., in terms of PFS and OS) according to results from previous retrospective analysis (i.e., improved outcome in terms of RR but no longer PFS and OS) (<xref ref-type="bibr" rid="B12">12</xref>). Similarly, the association of previous response to anti-EGFR with improved PFS is consistent with previous retrospective studies (<xref ref-type="bibr" rid="B13">13</xref>). Nevertheless, only long anti-EGFR free interval was significantly correlated to better outcome at multivariate analysis.</p>
<p>All this, in the light of the exponential decay kinetics of RAS mutant alleles after EGFR blockade suspension (<xref ref-type="bibr" rid="B5">5</xref>), suggests that the choice of the optimal timing of rechallenge strategy represents a key factor for this treatment approach and also that several factors others than RAS and BRAF mutations might be involved in secondary resistance to EGFR blockade (e.g., EGFR mutations).</p>
<p>Nevertheless, the results of the CHRONOS study (<xref ref-type="bibr" rid="B9">9</xref>) are partially contrary to our findings and to results from clinical-based rechallenge studies. In the CHRONOS study, the response occurred independently from the number of prior treatments, and the presence of resistance conferring mutations and responses was independent of time since last anti-EGFR. The very restrictive molecular inclusion criteria of this trial could possibly justify these findings, underlying the idea that the molecular selection is more effective in interpreting the dynamic nature of tumor biology compared to clinical factors.</p>
<p>Our study has some limitations; in particular, the small sample size along with the retrospective nature of the study deeply influenced the interpretations of our findings. This analysis, therefore, must be considered exploratory and caution is needed in data interpretation.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions</title>
<p>Taking into account the current data regarding secondary resistance to EGFR blockade and the biological rationale for rechallenge strategy, the results of the present study are impressive and promising for future development. This especially applies in the form in which the results underlying the hypothesis of delaying the introduction of rechallenge with anti-EGFR would maintain efficacy in later lines. The liquid biopsy-driven anti-EGFR rechallenge is confirmed to be viable in clinical practice, and it should be considered the main tool for selected patients. Previous response to anti-EGFR and EGFR free interval might just represent a surrogate factor substituting in fact for acquired gene alteration status. Nevertheless, given the difficulties in applying the molecular methods from interventional liquid biopsy-driven anti-EGFR rechallenge studies, these clinical predictive factors maintain their value and a combination of the two approaches is also possible in the interest of greater effectiveness.</p>
<p>The up-to-date results from prospective liquid biopsy-driven rechallenge strategy trials (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B14">14</xref>) are expected to give new insight into this challenging issue.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors upon request.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by AOU Cagliari Ethical committee (approval number: 3.32 n.14 28/04/21). Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author Contributions</title>
<p>All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>Author GiuP reports advisory role for BMS, MSD, Roche, Pierre-Fabre, Novartis, and Incyte.</p>
<p>The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2022.852583/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2022.852583/full#supplementary-material</ext-link>
</p>
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<supplementary-material xlink:href="Image_2.jpeg" id="SF2" mimetype="image/jpeg"/>
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<supplementary-material xlink:href="Image_4.jpeg" id="SF4" mimetype="image/jpeg"/>
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</sec>
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