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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.2021.743765</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>Cost-Effectiveness of Ipilimumab Plus Anti-PD-1 Therapy <italic>Versus</italic> Ipilimumab Alone in Patients With Metastatic Melanoma Resistant to Anti-PD-(L)1 Monotherapy</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Peng</surname>
<given-names>Ye</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>Zeng</surname>
<given-names>Xiaohui</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1380786"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Peng</surname>
<given-names>Liubao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Qiao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1379908"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yi</surname>
<given-names>Lidan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1380792"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Luo</surname>
<given-names>Xia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1380787"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Sini</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1220114"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Liting</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Qin</surname>
<given-names>Shuxia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wan</surname>
<given-names>Xiaomin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1441518"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Tan</surname>
<given-names>Chongqing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1023671"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Pharmacy, The Second Xiangya Hospital of Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>PET-CT Center, The Second Xiangya Hospital of Central South University</institution>, <addr-line>Changsha</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Sandeep Mittal, The University of Texas MD Anderson Cancer Center, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Surasak Saokaew, University of Phayao, Thailand; Qiu Li, Sichuan University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Chongqing Tan, <email xlink:href="mailto:tanchongqing@csu.edu.cn">tanchongqing@csu.edu.cn</email>; Xiaomin Wan, <email xlink:href="mailto:wanxiaomin@csu.edu.cn">wanxiaomin@csu.edu.cn</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Pharmacology of Anti-Cancer Drugs, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>09</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>11</volume>
<elocation-id>743765</elocation-id>
<history>
<date date-type="received">
<day>19</day>
<month>07</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Peng, Zeng, Peng, Liu, Yi, Luo, Li, Wang, Qin, Wan and Tan</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Peng, Zeng, Peng, Liu, Yi, Luo, Li, Wang, Qin, Wan and Tan</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>Objective</title>
<p>The use of ipilimumab plus anti-PD-1 has recently been shown to significantly improve the survival of patients with metastatic melanoma resistant to anti-PD-(L)1 monotherapy. The study assessed the cost-effectiveness of ipilimumab plus anti-PD-1 therapy in this population from the US payer perspective.</p>
</sec>
<sec>
<title>Materials and Methods</title>
<p>A Markov model was created based on a retrospective analysis of patients with metastatic melanoma who were resistant to anti-PD-(L)1. Cost information was obtained from the Centers for Medicare and Medicaid Services and literature-based costs. The utility value was derived from the published literature. The results of the model was the total cost, quality-adjusted life-year (QALY), and incremental cost-effectiveness ratio (ICER). The uncertainty of the model was addressed through sensitivity analysis. In addition, we also conducted subgroup analysis.</p>
</sec>
<sec>
<title>Results</title>
<p>Ipilimumab plus anti-PD-1 provided an improvement of 1.39 QALYs and 2.48 LYs, at a ICER of $73,163 per QALY. The HR of OS was the variable that had the greatest impact on ICER. Compared to ipilimumab, the probability of ipilimumab plus anti-PD-1 being cost-effective was 94% at the WTP of $150,000/QALY. The results of the subgroup analysis showed that the ICER in the majority of the subgroups was less than $150,000/QALY.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Ipilimumab plus anti-PD-1 was likely to be cost-effective compared to ipilimumab for patients with metastatic melanoma who are resistant to anti-PD-(L)1 at a WTP threshold of 150,000/QALY.</p>
</sec>
</abstract>
<kwd-group>
<kwd>ipilimumab plus anti-PD-1</kwd>
<kwd>retrospective analysis</kwd>
<kwd>cost-effectiveness</kwd>
<kwd>melanoma</kwd>
<kwd>Markov model</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="17"/>
<page-count count="7"/>
<word-count count="3497"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Skin cancer is a commonly diagnosed cancer in the United States, and more than 2 million people are diagnosed annually (<xref ref-type="bibr" rid="B1">1</xref>). It is estimated that there will be 106,110 new cases of skin melanoma and 7,180 deaths in the United States in 2021 (<xref ref-type="bibr" rid="B2">2</xref>). And the 5-year survival rate for patients with stage IV melanoma is only 19% (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>At present, immune checkpoint inhibitors have revolutionized the treatment of advanced melanoma (<xref ref-type="bibr" rid="B4">4</xref>). However, the majority of patients are resistant to anti-PD-1 therapy and require further treatment (<xref ref-type="bibr" rid="B4">4</xref>). Recently, a retrospective analysis by Pires da Silva et&#xa0;al. showed that ipilimumab plus anti-PD-1 (pembrolizumab or nivolumab) has higher efficacy than ipilimumab in patients with resistance to anti-PD-(L)1 (<xref ref-type="bibr" rid="B4">4</xref>). The median overall survival (OS) of the ipilimumab plus anti-PD-1 group was 24.0 months, which was 11.6 months longer than that of ipilimumab. The proportion of patients with grade &#x2265; 3 adverse events (AEs) was similar in the two groups.</p>
<p>Considering the limited number of randomized clinical trials and the uncertainty of their external validity, cost-effectiveness analysis based on real-world data can provide clinicians and decision-makers with more valuable information. In daily clinical practice, the effect of ipilimumab plus anti-PD-1 as a second-line treatment for patients with metastatic melanoma on its health outcomes and costs remained unclear. Therefore, this study evaluated the cost-effectiveness of ipilimumab plus anti-PD-1 therapy in the treatment of patients with metastatic melanoma resistant to anti-PD-(L)1 monotherapy from a US payer perspective.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Study Design</title>
<p>A Markov model was constructed to evaluate the lifetime cost and outcome of ipilimumab plus anti-PD-1 therapy for metastatic melanoma with anti-PD-(L)1 resistance (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). ALL patients initially entered the model and received either ipilimumab monotherapy or ipilimumab plus anti-PD-1 (<xref ref-type="bibr" rid="B4">4</xref>). Once the disease progressed, patients received the best supportive care (BSC) until death. A three-week Markov cycle and a 3% annual discount rate were used to estimate the costs and outcomes associated with the two treatment strategies (<xref ref-type="bibr" rid="B5">5</xref>). The time horizon of this analysis was the lifetime. The results of the model was the total cost in 2021 USD, quality-adjusted life-year (QALY), and incremental cost-effectiveness ratio (ICER). A willingness-to-pay (WTP) threshold of $150,000/QALY was applied for results analysis (<xref ref-type="bibr" rid="B6">6</xref>). TreeAge Pro (TreeAge Software, Williamstown, MA) and R were used for statistical analysis.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Model structure for metastatic melanoma resistant to anti-PD-(L)1 monotherapy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-743765-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<title>Clinical Inputs</title>
<p>The base-case estimation of transition probabilities was shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The transition probability of disease progression in the ipilimumab arm was derived from the study of Pires da Silva et&#xa0;al. using standard extrapolation techniques (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B7">7</xref>). First, Individual patient-level data of the ipilimumab arm were reconstructed based on the progression-free survival (PFS) and OS Kaplan-Meier curve. Then, these reconstructed survival data were used to fit the following parametric functions; Exponential, Weibull, Lognormal, Log-logistic, Gompertz, and Generalized gamma. Finally, the appropriate parametric distribution was selected based on statistical measures of the Akaike information criterion and visual inspection. The progression rate of ipilimumab plus anti-PD-1 arm was calculated based on the hazard ratios (HRs) reported in the study by Pires da Silva et al (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Model parameters.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center">Baseline value</th>
<th valign="top" align="center">Minimum</th>
<th valign="top" align="center">Maximum</th>
<th valign="top" align="center">Distribution </th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Log-logistic OS survival model with ipilimumab</td>
<td valign="top" align="left">Theta=0.03916796, Kappa=1.52458</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Log-logistic PFS survival model with ipilimumab</td>
<td valign="top" align="left">Theta=0.1380415, Kappa=1.922389</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">HR of ipilimumab plus anti-PD-1 <italic>vs</italic> ipilimumab for OS</td>
<td valign="top" align="left">0.50 (4)</td>
<td valign="top" align="center">0.38</td>
<td valign="top" align="center">0.66</td>
<td valign="top" align="left">Lognormal</td>
</tr>
<tr>
<td valign="top" align="left">HR of ipilimumab plus anti-PD-1 <italic>vs</italic> ipilimumab for PFS</td>
<td valign="top" align="left">0.69 (4)</td>
<td valign="top" align="center">0.55</td>
<td valign="top" align="center">0.87</td>
<td valign="top" align="left">Lognormal</td>
</tr>
<tr>
<td valign="top" align="left">Percentage of achieving treatment response in ipilimumab plus anti-PD-1 group</td>
<td valign="top" align="left">0.31 (4)</td>
<td valign="top" align="center">0.25</td>
<td valign="top" align="center">0.37</td>
<td valign="top" align="left">Beta</td>
</tr>
<tr>
<td valign="top" align="left">Percentage of achieving treatment response in ipilimumab group</td>
<td valign="top" align="left">0.13 (4)</td>
<td valign="top" align="center">0.10</td>
<td valign="top" align="center">0.16</td>
<td valign="top" align="left">Beta</td>
</tr>
<tr>
<td valign="top" align="left">Utility</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Complete/partial response</td>
<td valign="top" align="left">0.88 (12)</td>
<td valign="top" align="center">0.70</td>
<td valign="top" align="center">1.00</td>
<td valign="top" align="left">Beta</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;SD</td>
<td valign="top" align="left">0.80 (12)</td>
<td valign="top" align="center">0.64</td>
<td valign="top" align="center">0.96</td>
<td valign="top" align="left">Beta</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;PD</td>
<td valign="top" align="left">0.52 (12)</td>
<td valign="top" align="center">0.42</td>
<td valign="top" align="center">0.62</td>
<td valign="top" align="left">Beta</td>
</tr>
<tr>
<td valign="top" align="left">Drug cost</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Ipilimumab per mg</td>
<td valign="top" align="left">166 (8)</td>
<td valign="top" align="center">133</td>
<td valign="top" align="center">199</td>
<td valign="top" align="left">Gamma</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Nivolumab per mg</td>
<td valign="top" align="left">30 (8)</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">36</td>
<td valign="top" align="left">Gamma</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Pembrolizumab per mg</td>
<td valign="top" align="left">55 (8)</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">66</td>
<td valign="top" align="left">Gamma</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;BSC</td>
<td valign="top" align="left">4,492 (9)</td>
<td valign="top" align="center">3,594</td>
<td valign="top" align="center">5,390</td>
<td valign="top" align="left">Gamma</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Disease management in PFD state on treatment per week</td>
<td valign="top" align="left">189 (9)</td>
<td valign="top" align="center">151</td>
<td valign="top" align="center">227</td>
<td valign="top" align="left">Gamma</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Disease management in PFD state off treatment per week</td>
<td valign="top" align="left">590 (9)</td>
<td valign="top" align="center">472</td>
<td valign="top" align="center">708</td>
<td valign="top" align="left">Gamma</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Terminal care</td>
<td valign="top" align="left">18,042 (9)</td>
<td valign="top" align="center">14,434</td>
<td valign="top" align="center">21,650</td>
<td valign="top" align="left">Gamma</td>
</tr>
<tr>
<td valign="top" align="left">Administration cost per cycle</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;First hr<xref ref-type="table-fn" rid="fnT1_1">
<sup>a</sup>
</xref>
</td>
<td valign="top" align="left">148 (10)</td>
<td valign="top" align="center">119</td>
<td valign="top" align="center">178</td>
<td valign="top" align="left">Gamma</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Additional hr<xref ref-type="table-fn" rid="fnT1_2">
<sup>b</sup>
</xref>
</td>
<td valign="top" align="left">31 (10)</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">38</td>
<td valign="top" align="left">Gamma</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OS, overall survival; PFS, progression-free survival; HR, hazard ratio; SD, stable disease; PD, progressed disease; BSC, best supportive care; PFD, progression-free disease.</p>
</fn>
<fn id="fnT1_1">
<label>a</label>
<p>Administration cost for first hour chemotherapy infusion.</p>
</fn>
<fn id="fnT1_2">
<label>b</label>
<p>Administration cost for additional hour chemotherapy infusion.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2_3">
<title>Costs and Utilities</title>
<p>All cost information in the model was shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Based on the study of Pires da Silva et&#xa0;al. (<xref ref-type="bibr" rid="B4">4</xref>), 99% of the patients in the ipilimumab plus anti-PD-1 group received ipilimumab plus nivolumab and 1% of the patients received ipilimumab plus pembrolizumab.The cost of ipilimumab, nivolumab, and pembrolizumab was 106% of the average sales price (<xref ref-type="bibr" rid="B8">8</xref>). A body weight of 70 kg was used to calculate the dose administered (<xref ref-type="bibr" rid="B9">9</xref>). The dosing schedule was based on the prescribing information of the US Food and Drug Administration (FDA): ipilimumab at a dose of 3 mg/kg plus nivolumab at a dose of 1mg/kg every 3 weeks for 4 doses, followed by nivolumab at a dose of 240 mg every 2 weeks (ipilimumab plus nivolumab strategy); ipilimumab at a low-dose of 1 mg/kg plus pembrolizumab at a dose of 2mg/kg every 3 weeks for 4 doses, followed by pembrolizumab at a dose of 200 mg every 3 weeks (ipilimumab plus pembrolizumab strategy); and ipilimumab at a dose of 3 mg/kg every 3 weeks for 4 doses (ipilimumab strategy). Administration costs were derived from the 2021 Centers for Medicare &amp; Medicaid Services Physician Fee Schedule (<xref ref-type="bibr" rid="B10">10</xref>). There was no significant difference in the incidence of grade 3-5 adverse events (AEs) between the ipilimumab arm and ipilimumab plus anti-PD-1 arm based on the study of Pires da Silva et&#xa0;al. (<xref ref-type="bibr" rid="B4">4</xref>) (33% <italic>vs</italic> 31%). Therefore, the cost and disutility of AEs were not included in the model. The overall costs of BSC and terminal care were based on previously published literature (<xref ref-type="bibr" rid="B9">9</xref>). All costs were adjusted to 2021 USD using the US consumer price index (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>The utility value was derived from the published litersture (<xref ref-type="bibr" rid="B12">12</xref>). The utility values for stable disease, response, and progressed disease were 0.80, 0.88, and 0.52, respectively (<xref ref-type="bibr" rid="B12">12</xref>). Stable disease and response were sub-states of the progression-free disease state, which have different quality-of-life. QALYs were obtained by weighting patient survival according to utility value.</p>
</sec>
<sec id="s2_4">
<title>Sensitivity Analysis</title>
<p>A series of sensitivity analyses were incorporated to assess uncertainty. In one-way sensitivity analyses, each model parameter was changed within the ranges listed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> to explore their influence on the results. The range of all parameters was their 95% CIs or &#xb1;20% of the baseline value. In probabilistic sensitivity analysis, 10,000 Monte Carlo simulations were performed by setting a distribution for each parameter. Costs were described by gamma distributions, HRs by a lognormal distribution, and utilities and probabilities by beta distributions. Subgroup analysis was also performed in the pre-specified subgroups reported in the study of Pires da Silva et&#xa0;al.</p>
</sec>
</sec>
<sec id="s3">
<title>Results</title>
<sec id="s3_1">
<title>Base-Case Analysis</title>
<p>In comparison with the ipilimumab arm, ipilimumab plus anti-PD-1 provided an improvement of 1.39 QALYs and 2.48 life-years (LYs) (2.17 <italic>vs</italic> 0.79 QALYs and 3.80 <italic>vs</italic> 1.31 LYs, respectively). However, ipilimumab plus anti-PD-1 was also associated with a significantly higher cost ($243,480 <italic>vs</italic> $142,083), resulting in an ICER of $73,163 per QALY (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Base case results.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Results</th>
<th valign="top" align="center">Ipilimumab</th>
<th valign="top" align="center">Ipilimumab plus anti-PD-1</th>
<th valign="top" align="center">Incremental</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">LYs</td>
<td valign="top" align="center">1.31</td>
<td valign="top" align="center">3.8</td>
<td valign="top" align="center">2.48</td>
</tr>
<tr>
<td valign="top" align="left">QALYs</td>
<td valign="top" align="center">0.79</td>
<td valign="top" align="center">2.17</td>
<td valign="top" align="center">1.39</td>
</tr>
<tr>
<td valign="top" align="left">Total cost, $</td>
<td valign="top" align="center">142083</td>
<td valign="top" align="center">243480</td>
<td valign="top" align="center">101,397</td>
</tr>
<tr>
<td valign="top" align="left">ICER, $</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Per LY</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">40,820</td>
</tr>
<tr>
<td valign="top" align="left"> Per QALY</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">73,163</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>LYs, life years; QALYs, quality-adjusted life-years; ICER, incremental cost-effectiveness ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Sensitivity Analysis</title>
<p>The HR of OS for ipilimumab plus anti-PD-1 relative to ipilimumab was the most sensitive parameter (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Other parameters such as the PFS HR, the cost of nivolumab and ipilimumab, and the utility values had a moderate or small influence on the ICER. Of note, all ICERs were below the WTP threshold of $150,000/QALY regardless of how the parameters vary within the range. In the probabilistic sensitivity analyses, the probability of ipilimumab plus anti-PD-1 being cost-effective was 19%, 75%, and 94% at the WTP of $50,000/QALY, $100,000/QALY, and $150,000/QALY, respectively (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>One-way sensitivity analyses results of ipilimumab plus anti-PD-1 strategy <italic>versus</italic> ipilimumab strategy in patients with metastatic melanoma resistant to anti-PD-(L)1 monotherapy. OS, overall survival; PFS, progression-free survival; HR, hazard ratio; BSC, best supportive care; PFD, progression-free disease.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-743765-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The cost-effectiveness acceptability curve of ipilimumab plus anti-PD-1 strategy and ipilimumab strategy in patients with metastatic melanoma resistant to anti-PD-(L)1 monotherapy.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-11-743765-g003.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Subgroup Analyses</title>
<p>Compared with ipilimumab, ipilimumab plus anti-PD-1therapy for patients with metastatic melanoma resistant to anti-PD-(L)1 monotherapy showed ICERs below the WTP threshold of $150,000/QALY in the majority of the subgroups (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>). By varying the HRs of PFS and OS between the ipilimumab plus anti-PD-1 and ipilimumab strategies, the ICER of the subgroups varied from $39,433/QALY (probabilities of cost-effectiveness, 90%) in patients with systemic treatment between PD-(L)1 and ipilimumab plus anti-PD-1 to $388,947/QALY (probabilities of cost-effectiveness, 39%) in patients with anti-PD-1 adjuvant therapy. (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Results for subgroup analyses.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Subgroup</th>
<th valign="top" align="center">PFS HR (95% CI) </th>
<th valign="top" align="center">OS HR (95% CI) </th>
<th valign="top" align="center">ICER ($/QALY)</th>
<th valign="top" align="center">Cost-effectivenes probability at the threshold $150,000/QALY</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">0&#xb7;69 (0&#xb7;51, 0&#xb7;92)</td>
<td valign="top" align="center">0&#xb7;45 (0&#xb7;31, 0&#xb7;64)</td>
<td valign="top" align="center">59,674</td>
<td valign="top" align="center">94%</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">0&#xb7;70 (0&#xb7;48, 1&#xb7;01)</td>
<td valign="top" align="center">0&#xb7;60 (0&#xb7;39, 0&#xb7;92)</td>
<td valign="top" align="center">107,140</td>
<td valign="top" align="center">69%</td>
</tr>
<tr>
<td valign="top" align="left">Age&lt;64 yr</td>
<td valign="top" align="center">0&#xb7;72 (0&#xb7;52, 1&#xb7;00)</td>
<td valign="top" align="center">0&#xb7;54 (0&#xb7;37, 0&#xb7;80)</td>
<td valign="top" align="center">78,301</td>
<td valign="top" align="center">84%</td>
</tr>
<tr>
<td valign="top" align="left">Age &#x2265; 64 yr</td>
<td valign="top" align="center">0&#xb7;71 (0&#xb7;51, 0&#xb7;98)</td>
<td valign="top" align="center">0&#xb7;48 (0&#xb7;32, 0&#xb7;73)</td>
<td valign="top" align="center">63,118</td>
<td valign="top" align="center">92%</td>
</tr>
<tr>
<td valign="top" align="left">BRAF mutant</td>
<td valign="top" align="center">1&#xb7;01 (0&#xb7;66, 1&#xb7;56)</td>
<td valign="top" align="center">0&#xb7;73 (0&#xb7;43, 1&#xb7;26)</td>
<td valign="top" align="center">80030</td>
<td valign="top" align="center">68%</td>
</tr>
<tr>
<td valign="top" align="left">NRAS mutant</td>
<td valign="top" align="center">0&#xb7;62 (0&#xb7;36, 1&#xb7;07)</td>
<td valign="top" align="center">0&#xb7;48 (0&#xb7;25, 0&#xb7;91)</td>
<td valign="top" align="center">85,476</td>
<td valign="top" align="center">74%</td>
</tr>
<tr>
<td valign="top" align="left">BRAF &amp; NRAS WT</td>
<td valign="top" align="center">0&#xb7;58 (0&#xb7;42, 0&#xb7;81)</td>
<td valign="top" align="center">0&#xb7;46 (0&#xb7;31, 0&#xb7;69)</td>
<td valign="top" align="center">90,992</td>
<td valign="top" align="center">80%</td>
</tr>
<tr>
<td valign="top" align="left">ECOG PS 0</td>
<td valign="top" align="center">0&#xb7;68 (0&#xb7;49, 0&#xb7;95)</td>
<td valign="top" align="center">0&#xb7;47 (0&#xb7;31, 0&#xb7;72)</td>
<td valign="top" align="center">66,942</td>
<td valign="top" align="center">91%</td>
</tr>
<tr>
<td valign="top" align="left">ECOG PS &#x2265;1</td>
<td valign="top" align="center">0&#xb7;99 (0&#xb7;70, 1&#xb7;42)</td>
<td valign="top" align="center">0&#xb7;82 (0&#xb7;56, 1&#xb7;21)</td>
<td valign="top" align="center">148,757</td>
<td valign="top" align="center">51%</td>
</tr>
<tr>
<td valign="top" align="left">III/M1A/M1B</td>
<td valign="top" align="center">0&#xb7;74 (0&#xb7;48, 1&#xb7;15)</td>
<td valign="top" align="center">0&#xb7;53 (0&#xb7;30, 0&#xb7;93)</td>
<td valign="top" align="center">70,480</td>
<td valign="top" align="center">80%</td>
</tr>
<tr>
<td valign="top" align="left">M1C/M1D</td>
<td valign="top" align="center">0&#xb7;68 (0&#xb7;51, 0&#xb7;89)</td>
<td valign="top" align="center">0&#xb7;50 (0&#xb7;37, 0&#xb7;69)</td>
<td valign="top" align="center">75,616</td>
<td valign="top" align="center">87%</td>
</tr>
<tr>
<td valign="top" align="left">Brain metastases</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> No</td>
<td valign="top" align="center">0&#xb7;79 (0&#xb7;52, 1&#xb7;18)</td>
<td valign="top" align="center">0&#xb7;51 (0&#xb7;31, 0&#xb7;82)</td>
<td valign="top" align="center">55,313</td>
<td valign="top" align="center">87%</td>
</tr>
<tr>
<td valign="top" align="left"> Yes</td>
<td valign="top" align="center">0&#xb7;64 (0&#xb7;48, 0&#xb7;84)</td>
<td valign="top" align="center">0&#xb7;47 (0&#xb7;33, 0&#xb7;66)</td>
<td valign="top" align="center">76,679</td>
<td valign="top" align="center">87%</td>
</tr>
<tr>
<td valign="top" align="left">Lung metastases</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> No</td>
<td valign="top" align="center">0&#xb7;73 (0&#xb7;54, 0&#xb7;98)</td>
<td valign="top" align="center">0&#xb7;54 (0&#xb7;38, 0&#xb7;78)</td>
<td valign="top" align="center">75,857</td>
<td valign="top" align="center">85%</td>
</tr>
<tr>
<td valign="top" align="left"> Yes</td>
<td valign="top" align="center">0&#xb7;69 (0&#xb7;48, 1&#xb7;00)</td>
<td valign="top" align="center">0&#xb7;48 (0&#xb7;31, 0&#xb7;74)</td>
<td valign="top" align="center">67,431</td>
<td valign="top" align="center">90%</td>
</tr>
<tr>
<td valign="top" align="left">Liver metastases</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> No</td>
<td valign="top" align="center">0&#xb7;68 (0&#xb7;45, 1&#xb7;04)</td>
<td valign="top" align="center">0&#xb7;59 (0&#xb7;37, 0&#xb7;93)</td>
<td valign="top" align="center">109,323</td>
<td valign="top" align="center">64%</td>
</tr>
<tr>
<td valign="top" align="left"> Yes</td>
<td valign="top" align="center">0&#xb7;71 (0&#xb7;54, 0&#xb7;94)</td>
<td valign="top" align="center">0&#xb7;48 (0&#xb7;34, 0&#xb7;67)</td>
<td valign="top" align="center">63,118</td>
<td valign="top" align="center">92%</td>
</tr>
<tr>
<td valign="top" align="left">LDH = UNL</td>
<td valign="top" align="center">0&#xb7;75 (0&#xb7;54, 1&#xb7;02)</td>
<td valign="top" align="center">0&#xb7;45 (0&#xb7;30, 0&#xb7;69)</td>
<td valign="top" align="center">48,906</td>
<td valign="top" align="center">97%</td>
</tr>
<tr>
<td valign="top" align="left">LDH &gt;UNL</td>
<td valign="top" align="center">0&#xb7;56 (0&#xb7;38, 0&#xb7;83)</td>
<td valign="top" align="center">0&#xb7;47 (0&#xb7;30, 0&#xb7;72)</td>
<td valign="top" align="center">101,603</td>
<td valign="top" align="center">74%</td>
</tr>
<tr>
<td valign="top" align="left">PD-(L)1 treatment setting</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Adjuvant</td>
<td valign="top" align="center">0&#xb7;52 (0&#xb7;22, 1&#xb7;25)</td>
<td valign="top" align="center">0&#xb7;81 (0&#xb7;17, 3&#xb7;90)</td>
<td valign="top" align="center">388,947</td>
<td valign="top" align="center">39%</td>
</tr>
<tr>
<td valign="top" align="left"> Metastatic</td>
<td valign="top" align="center">0&#xb7;74 (0&#xb7;58, 0&#xb7;94)</td>
<td valign="top" align="center">0&#xb7;54 (0&#xb7;40, 0&#xb7;71)</td>
<td valign="top" align="center">73,498</td>
<td valign="top" align="center">86%</td>
</tr>
<tr>
<td valign="top" align="left">Type of resistance with PD-(L)1</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Innate</td>
<td valign="top" align="center">0&#xb7;75 (0&#xb7;56, 0&#xb7;99)</td>
<td valign="top" align="center">0&#xb7;52 (0&#xb7;37, 0&#xb7;71)</td>
<td valign="top" align="center">65,477</td>
<td valign="top" align="center">90%</td>
</tr>
<tr>
<td valign="top" align="left"> Acquired</td>
<td valign="top" align="center">0&#xb7;71 (0&#xb7;44, 1&#xb7;14)</td>
<td valign="top" align="center">0&#xb7;56 (0&#xb7;31, 1&#xb7;01)</td>
<td valign="top" align="center">87,840</td>
<td valign="top" align="center">73%</td>
</tr>
<tr>
<td valign="top" align="left">Best objective response with PD-(L)1</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> SD/PD</td>
<td valign="top" align="center">0&#xb7;72 (0&#xb7;55, 0&#xb7;95)</td>
<td valign="top" align="center">0&#xb7;50 (0&#xb7;36, 0&#xb7;68)</td>
<td valign="top" align="center">66,335</td>
<td valign="top" align="center">90%</td>
</tr>
<tr>
<td valign="top" align="left"> CR/PR</td>
<td valign="top" align="center">0&#xb7;79 (0&#xb7;45, 1&#xb7;40)</td>
<td valign="top" align="center">0&#xb7;70 (0&#xb7;34, 1&#xb7;43)</td>
<td valign="top" align="center">128,713</td>
<td valign="top" align="center">56%</td>
</tr>
<tr>
<td valign="top" align="left"> Not applicable</td>
<td valign="top" align="center">0&#xb7;52 (0&#xb7;22, 1&#xb7;25)</td>
<td valign="top" align="center">0&#xb7;81 (0&#xb7;17, 3&#xb7;90)</td>
<td valign="top" align="center">388,947</td>
<td valign="top" align="center">39%</td>
</tr>
<tr>
<td valign="top" align="left">Time to recurrence/progression with PD-(L)1</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> &#x2264;3 months</td>
<td valign="top" align="center">0&#xb7;63 (0&#xb7;46, 0.87)</td>
<td valign="top" align="center">0&#xb7;45 (0&#xb7;31, 0&#xb7;64)</td>
<td valign="top" align="center">73,304</td>
<td valign="top" align="center">89%</td>
</tr>
<tr>
<td valign="top" align="left"> &gt;3 months</td>
<td valign="top" align="center">0&#xb7;75 (0&#xb7;53, 1&#xb7;05)</td>
<td valign="top" align="center">0&#xb7;52 (0&#xb7;34, 0&#xb7;81)</td>
<td valign="top" align="center">65,477</td>
<td valign="top" align="center">91%</td>
</tr>
<tr>
<td valign="top" align="left">Time from PD-(L)1 to IPI+/-PD1</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> &#x2264;1 month</td>
<td valign="top" align="center">0&#xb7;72 (0&#xb7;52, 0&#xb7;99)</td>
<td valign="top" align="center">0&#xb7;54 (0&#xb7;37, 0&#xb7;80)</td>
<td valign="top" align="center">78,301</td>
<td valign="top" align="center">85%</td>
</tr>
<tr>
<td valign="top" align="left"> &gt;1 month</td>
<td valign="top" align="center">0&#xb7;69 (0&#xb7;49, 0&#xb7;96)</td>
<td valign="top" align="center">0&#xb7;47 (0&#xb7;31, 0&#xb7;70)</td>
<td valign="top" align="center">64,739</td>
<td valign="top" align="center">92%</td>
</tr>
<tr>
<td valign="top" align="left">Systemic treatment between PD-(L)1 and IPI+/-PD1</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> No</td>
<td valign="top" align="center">0&#xb7;67 (0&#xb7;52, 0&#xb7;87)</td>
<td valign="top" align="center">0&#xb7;51 (0&#xb7;38, 0&#xb7;69)</td>
<td valign="top" align="center">81,393</td>
<td valign="top" align="center">84%</td>
</tr>
<tr>
<td valign="top" align="left"> Yes</td>
<td valign="top" align="center">0&#xb7;68 (0&#xb7;36, 1&#xb7;30)</td>
<td valign="top" align="center">0.34 (0&#xb7;16, 0&#xb7;75)</td>
<td valign="top" align="center">39,433</td>
<td valign="top" align="center">90%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>OS, overall survival; PFS, progression-free survival; HR, hazard ratio; QALYs, quality-adjusted life-years; ICER, incremental cost-effectiveness ratio; LDH, lactate dehydrogenase; UNL, upper normal limit; WT, wild type; ECOG PS, Eastern Cooperative Oncology Group Performance Status; SD, stable disease; PD, progressed disease; CR, complete response; PR, partial response.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4">
<title>Discussion</title>
<p>The study of Pires da Silva et&#xa0;al. demonstrated that ipilimumab plus anti-PD-1 can significantly improve PFS and OS in patients with metastatic melanoma who are resistant to anti-PD-(L)1 (<xref ref-type="bibr" rid="B4">4</xref>). However, since anti-PD-1 is a high-cost treatment, long-term administration before the disease progression may result in substantial cumulative medical expenditure. Our model suggests that ipilimumab plus anti-PD-1 may be a cost-effective option for patients with metastatic melanoma who are resistant to anti-PD-(L)1 compared to ipilimumab, with an ICER of $73,163/QALY. And ICERs in the majority of the subgroups were below the WTP threshold of $150,000/QALY.</p>
<p>In recent years, the emergence of novel anti-cancer therapies has not only improved the survival of patients but also increased the financial burden of patients (<xref ref-type="bibr" rid="B13">13</xref>). This situation is particularly serious in high-income countries, and the total expenditure on novel anti-cancer drugs in these countries has continued to increase (<xref ref-type="bibr" rid="B13">13</xref>). Therefore, it is becoming more and more important to provide safe healthcare in a cost-effective manner. At the clinical level, the economic evaluation of drugs can help physicians and patients evaluate the value of new cancer therapy in comparison with other prevailing clinical standard care. At the societal level, this type of analysis can help the government and pharmaceutical benefit providers to effectively and efficiently use limited medical resources (<xref ref-type="bibr" rid="B14">14</xref>). These will contribute to the sustainable development of the health care system that provides high-value care to all patients. The nature of ipilimumab plus anti-PD-1 to prolong the survival of metastatic melanoma was the main factor affecting economic outcomes. This was consistent with the results of our one-way sensitivity analysis, which showed that the HR of OS was the most sensitive parameter. Therefore, ipilimumab plus anti-PD-1 would have a higher probability of being cost-effective in the subgroup of patients with more favorable HR of OS, such as patients with upper limits of normal for lactate dehydrogenase, male and age &#x2265;64 years. However, there was a low probability of ipilimumab plus anti-PD-1 therapy being cost-effective in patients with unfavorable HR of OS, such as patients with anti-PD-1 adjuvant therapy.</p>
<p>To our knowledge, this study was the first to evaluate the cost-effectiveness analysis of immune checkpoint inhibition in the second-line treatment of metastatic melanoma from the perspective of the United States. Prior studies have evaluated the economic value of immune checkpoint inhibition in the first-Line treatment of metastatic melanoma (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>); although the ICERs reported in these studies vary, many indicate that ipilimumab combined with immune checkpoint inhibition is likely to be cost-effective compared to ipilimumab monotherapy. For instance, Oh A et al (<xref ref-type="bibr" rid="B1">1</xref>) used data from the CheckMate-067 trial to evaluate the economics of nivolumab, ipilimumab, and nivolumab plus ipilimumab in the frontline treatment of metastatic melanoma. The results showed that nivolumab plus ipilimumab was likely to be cost-effective compared with ipilimumab monotherapy. A study by Bin Wu et al (<xref ref-type="bibr" rid="B16">16</xref>) showed that nivolumab plus ipilimumab was a cost-effective option for the treatment of newly diagnosed advanced melanoma.</p>
<p>Several important limitations were included in this analysis. First, the retrospective analysis on which it is based has a relatively small sample size. Only 162 patients with ipilimumab monotherapy and 193 patients with ipilimumab plus anti-PD-1 were included, especially the small size of patients receiving ipilimumab plus pembrolizumab. This lead to the limited power of this analysis. However, there was limited evidence on the effect of ipilimumab plus anti-PD-1 in the second-line treatment of metastatic melanoma. There was no doubt that the results of this analysis should be validated in a larger patient population in the future if valuable data were available. Second, there is compelling anti-PD-1 monotherapy, such as nivolumab or pembrolizumab (<xref ref-type="bibr" rid="B17">17</xref>), which could be used as comparators in our model instead of only ipilimumab. However, there was currently no study on the direct comparison between anti-PD-1 combination therapy and anti-PD-1 monotherapy as second-line treatments for metastatic melanoma. And the assumptions in the indirect comparison method will weaken the validity of our model, so we did not analyze them. When new clinical data were available, we would update the current analysis promptly. Third, considering that there was no significant difference in the incidence of AEs between the two groups, the cost of AEs was not included in the model. This may result in an overestimation of economic results. Therefore, the conclusions of this study should be carefully interpreted and referenced. Fourth, Some costs, such as testing or hospitalization, were not incorporated because they were considered to be the same between each arm of the model and would not affect the calculation of the incremental C/E ratio (ICER). Therefore, even if these costs were included, the main results and conclusions would not be changed. Despite these limitations, it may be valuable to provide physicians and policy-makers with the present results of this current study on metastatic melanoma.</p>
<p>In conclusion, for patients with metastatic melanoma who are resistant to anti-PD-(L)1, our study suggested that ipilimumab plus anti-PD-1 was a more cost-effective strategy compared to ipilimumab. These findings might help clinicians make optimal decisions in the treatment of metastatic melanoma.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author Contributions</title>
<p>Study design and supervision: XW and CT. Data analysis and interpretation: SL, LY, and XL. Data collection: LP, LW, SQ, and QL. Manuscript writing: YP and XZ. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The work was supported by grants from the National Natural Science Foundation of China (grant numbers: 82073818 and 71874209); and the Key Science-Technology Research and Development Program of Hunan Province (grant number: 2020JJ8046); and the Hunan Provincial Natural Science Foundation of China (grant number: 2019JJ40411). The Rapid Service Fee was funded by the study sponsor.</p>
</sec>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" 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>
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