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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Transpl Int</journal-id>
<journal-title>Transplant International</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Transpl Int</abbrev-journal-title>
<issn pub-type="epub">1432-2277</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">11552</article-id>
<article-id pub-id-type="doi">10.3389/ti.2023.11552</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Health Archive</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A Comprehensive Landscape of <italic>De Novo</italic> Malignancy After Double Lung Transplantation</article-title>
<alt-title alt-title-type="left-running-head">Lee et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<italic>De Novo</italic> Malignancy after DLT</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Jeeyeon</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Andrew Won Jun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chung</surname>
<given-names>Liam Il-Young</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yu</surname>
<given-names>Jisang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lee</surname>
<given-names>Yunjoo</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Kim</surname>
<given-names>Hye Sung</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2395371/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Shin</surname>
<given-names>Hyun Joon</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Choi</surname>
<given-names>Young-Geun</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bharat</surname>
<given-names>Ankit</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Chae</surname>
<given-names>Young Kwang</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2305793/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Surgery, School of Medicine, Kyungpook National University Chilgok Hospital, Kyungpook National University</institution>, <addr-line>Daegu</addr-line>, <country>Republic of Korea</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Internal Medicine, Northwestern Memorial Hospital</institution>, <addr-line>Chicago</addr-line>, <addr-line>IL</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Division of Cardiology</institution>, <institution>Department of Medicine</institution>, <institution>Lemuel Shattuck Hospital</institution>, <institution>Massachusetts Department of Public Health</institution>, <addr-line>Jamaica Plain</addr-line>, <addr-line>MA</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Mathematics Education</institution>, <institution>Sungkyunkwan University</institution>, <addr-line>Seoul</addr-line>, <country>Republic of Korea</country>
</aff>
<author-notes>
<corresp id="c001">&#x2a;Correspondence: Young Kwang Chae, <email>ychae@nm.org</email>
</corresp>
<fn fn-type="other" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>ORCID: Jeeyeon Lee, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-1826-1690">orcid.org/0000-0003-1826-1690</ext-link>; Andrew Won Jun Yang, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0009-0009-5594-0669">orcid.org/0009-0009-5594-0669</ext-link>; Liam Il-Young Chung, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0001-6541-793X">orcid.org/0000-0001-6541-793X</ext-link>; Jisang Yu, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-4370-947X">orcid.org/0000-0002-4370-947X</ext-link>; Yunjoo Lee, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-7339-5416">orcid.org/0000-0002-7339-5416</ext-link>; Hye Sung Kim, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-7256-7597">orcid.org/0000-0002-7256-7597</ext-link>; Hyun Joon Shin, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0001-5781-0643">orcid.org/0000-0001-5781-0643</ext-link>; Young-Geun Choi, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-3733-5421">orcid.org/0000-0003-3733-5421</ext-link>; Ankit Bharat, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-1248-0457">orcid.org/0000-0002-1248-0457</ext-link>; Young Kwang Chae, <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-1557-7235">orcid.org/0000-0003-1557-7235</ext-link>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>36</volume>
<elocation-id>11552</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>05</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>07</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Lee, Yang, Chung, Yu, Lee, Kim, Shin, Choi, Bharat and Chae.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Lee, Yang, Chung, Yu, Lee, Kim, Shin, Choi, Bharat and Chae</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>
<p>Although the association between post-transplant malignancy (PTM) and immunosuppressive therapy after organ transplantation has been studied, an integrated review of PTM after lung transplantation is lacking. We investigated the incidence and types of <italic>de novo</italic> PTM and its impact on survival following double lung transplantation (DLT). The incidence and type of PTM as well as the annual and cumulative risks of each malignancy after DLT were analyzed. The overall survival (OS) of recipients with or without PTM was compared by the Kaplan&#x2013;Meier survival method and landmark analysis. There were 5,629 cases (23.52%) with 27 types of PTMs and incidences and OS varied according to the types of PTMs. The recipients with PTM showed a significantly longer OS than those without PTM (<italic>p</italic> &#x3c; 0.001). However, while the recipients with PTM showed significantly better OS at 3, and 5&#xa0;years (<italic>p</italic> &#x3c; 0.001, <italic>p</italic> &#x3d; 0.007), it was worse at the 10-year landmark time (<italic>p</italic> &#x3d; 0.013). And the single PTM group showed a worse OS rate than the multiple PTM group (<italic>p</italic> &#x3c; 0.001). This comprehensive report on PTM following DLT can help understand the risks and timing of PTM to improve the implementation of screening and treatment.</p>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<fig>
<graphic xlink:href="TI_ti-2023-11552_wc_abs.tif" position="anchor"/>
</fig>
</p>
</abstract>
<kwd-group>
<kwd>post-transplant malignancy</kwd>
<kwd>
<italic>de novo</italic> malignancy</kwd>
<kwd>double lung transplant</kwd>
<kwd>incidence</kwd>
<kwd>survival outcomes </kwd>
</kwd-group>
<contract-num rid="cn001">HL145478</contract-num>
<contract-sponsor id="cn001">National Institutes of Health<named-content content-type="fundref-id">10.13039/100000002</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Over the past 20&#xa0;years, there has been a notable increase in thoracic organ transplantation, with double lung transplantation (DLT) surpassing single lung transplantation nearly two-fold since 2005 [<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>]. Immunosuppressive therapy has substantially improved post-transplant outcomes by mitigating acute and chronic rejection episodes [<xref ref-type="bibr" rid="B5">5</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>]. The standard immunosuppressive regimen for lung transplantation consists of calcineurin inhibitors, antimetabolites, and corticosteroids [<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>]. This regimen has effectively reduced allograft tissue rejection and graft failure, enhancing transplant recipients&#x2019; survival outcomes [<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>].</p>
<p>The immunosuppressive regimen attenuates the signaling between antigen-presenting cells and T-cells, inhibits T-cell activation and proliferation, reduces antibody production by B cells, and suppresses antibody-mediated complement system activation [<xref ref-type="bibr" rid="B12">12</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>]. However, this immunosuppressive microenvironment may inadvertently promote tumor development and progression, facilitating immune evasion by cancer cells [<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>]. Consequently, while immunosuppressive therapy has successfully suppressed allograft rejection, malignancies associated with immunosuppression are increasingly acknowledged as a significant post-transplant complication [<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>].</p>
<p>Although the relationship between post-transplant malignancy (PTM) and immunosuppressive therapy has been suggested, PTM remains a leading cause of mortality in thoracic transplantation patients [<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>]. Transplant recipients face a lifelong risk of PTM, necessitating diligent screening for <italic>de novo</italic> PTM. A thorough examination of PTM, accounting for transplant recipient characteristics and time since transplantation, is crucial for informing PTM management strategies.</p>
<p>In this study, we investigated the annual incidence, cumulative risk, and survival outcomes of PTM in patients who underwent DLT for non-cancerous diseases. We utilized data from the Organ Procurement and Transplantation Network (OPTN) to better understand PTM characteristics following DLT.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Material and Methods</title>
<p>Data: Data pertaining to thoracic transplantation was procured from the United Network for Organ Sharing (UNOS)&#x2014;a non-profit organization committed to its mission of overseeing the nation&#x2019;s transplant system under the purview of the federal government<xref ref-type="fn" rid="fn2">
<sup>1</sup>
</xref>. The data, which were de-identified, anonymized, and accompanied by coding files in STATA format, were sourced from the thoracic transplant registry of the OPTN as of 7 October 2022. Only DLT recipients were included while single or multi-organ transplants were excluded given the potential for confounding bias. Among the 29,335 documented DLT cases conducted between 1993 and June 2022, a total of 23,935 recipients who had eligible data were ultimately assessed for <italic>de novo</italic> PTMs following DLT, upon reviewing data suitability. Recipients who had undergone DLT for malignancy were excluded from the study, which received approval from Northwestern University&#x2019;s Institutional Review Board Committee in Chicago, IL, United States (IRB&#x23;: STU00207117). The collected data encompassed recipient age at the time of transplantation, sex, smoking history, prior indication for DLT, presence, and date of <italic>de novo</italic> PTM, PTM type, date and cause of death. The recipient cohorts were divided into two groups: those without <italic>de novo</italic> PTM (<italic>n</italic> &#x3d; 18,306) and those with <italic>de novo</italic> PTM (<italic>n</italic> &#x3d; 5,629). The incidence, annual and cumulative risks of each PTM subtype were scrutinized, and survival outcomes were contrasted.</p>
<p>Analysis: Clinical factors and survival outcomes were evaluated at 5 and 10&#xa0;years post-DLT for all recipients. Incidence, as well as annual and cumulative risks of PTM, were computed according to PTM type. Furthermore, the variation in annual risk proportion was compared as the follow-up period extended. With a follow-up period of at least 18&#xa0;years, the cumulative risk was ascertained for the four most prevalent PTM causes: squamous cell skin cancer (SCC), basal cell skin cancer (BCC), lymphoma, and lung cancer. Recipients with PTM were further categorized based on the number of PTMs they developed, and the overall survival (OS) was analyzed for statistical differences based on the number of PTMs.</p>
<p>Statistics: Quantitative variables were compared using the <italic>t</italic>-test, and categorical variables were analyzed using the &#x3c7;<sup>2</sup> test. The survival outcomes were analyzed with the Kaplan&#x2013;Meier survival method. For multivariate analysis, the Cox regression analysis was performed, considering age, sex, and cigarette use at the time of DLT as the variables. For the landmark analysis, we chose 3, 5, 7, 10, 15, and 20&#xa0;years after transplantation as landmark time points. Only patients alive at this point were included in this analysis and performed an analysis with recipients with or without PTM before time points. All statistical analyses were performed using the SPSS software (version 29.0 SPSS, IBM, Chicago, IL, United States), and a <italic>p</italic>-value of &#x3c;0.05 was used to determine statistical significance.</p>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Clinical and Demographic Features</title>
<p>Among the 23,935 DLT recipients, 13,768 (57.52%) were males, and 11,129 (46.50%) had a smoking history. The mean age of the recipients was 51.91&#xa0;years (SD, &#xb1;4.95). During the follow-up period, 5,629 cases (30.75%) of PTM occurred, and the mean age of recipients with PTM was significantly greater than that of those without PTM [without PTM: 51.13&#xa0;years (SD, &#xb1;41.72) versus those with PTM: 54.46&#xa0;years (SD, &#xb1;19.09), <italic>p</italic> &#x3c; 0.001]. Male DLT recipients (<italic>n</italic> &#x3d; 3,785, 67.24%) were more frequently diagnosed with PTMs (<italic>p</italic> &#x3c; 0.001), and the mean age at the onset of PTMs was 60.87&#xa0;years (SD, &#xb1;49.26) (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Characteristics of recipients with or without <italic>de novo</italic> post-transplant malignancy (PTM) who had received double lung transplantation for non-cancerous diseases.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Variables</th>
<th align="center">Total (<italic>n</italic> &#x3d; 23,935)</th>
<th align="center">Recipients without PTM (<italic>n</italic> &#x3d; 18,306)</th>
<th align="center">Recipients with PTM (<italic>n</italic> &#x3d; 5,629)</th>
<th align="center">
<italic>p</italic>-value&#x2a;</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age at transplantation (mean, &#xb1;SD)</td>
<td align="center">51.91 &#xb1; 4.95</td>
<td align="center">51.13 &#xb1; 41.72</td>
<td align="center">54.46 &#xb1; 19.09</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Gender (<italic>n</italic>, %)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="center">13,768 (57.52)</td>
<td align="center">9,983 (54.53)</td>
<td align="center">3,785 (67.24)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="center">10,167 (42.48)</td>
<td align="center">8,323 (45.47)</td>
<td align="center">1,844 (32.76)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Smoking history (<italic>n</italic>, %)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Non-smoker</td>
<td align="center">9,148 (38.22)</td>
<td align="center">7,490 (40.92)</td>
<td align="center">1,658 (29.45)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Smoker</td>
<td align="center">11,129 (46.50)</td>
<td align="center">8,282 (45.24)</td>
<td align="center">2,847 (50.58)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Unknown</td>
<td align="center">3,658 (15.28)</td>
<td align="center">2,534 (13.84)</td>
<td align="center">1,124 (19.97)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Death (<italic>n</italic>, %)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;No</td>
<td align="center">12,216 (51.04)</td>
<td align="center">9,794 (53.50)</td>
<td align="center">2,421 (43.01)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Yes</td>
<td align="center">11,719 (48.96)</td>
<td align="center">8,512 (46.50)</td>
<td align="center">3,208 (56.99)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Onset of PTM from transplantation</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="center">N/A</td>
</tr>
<tr>
<td align="left">&#x2003;Median (months, range)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">47.97 (0.00&#x2013;316.10)</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Mean (months, &#xb1;SD)</td>
<td align="center">&#x2014;</td>
<td align="center">&#x2014;</td>
<td align="center">60.87 &#xb1; 49.26</td>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="Tfn1">
<label>&#x2a;</label>
<p>Quantitative variables were compared using a <italic>t</italic>-test, and categorical variables were analyzed using the &#x3c7;<sup>2</sup> test.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-2">
<title>Indications of DLT for Non-Cancerous Disease</title>
<p>There were 87 different indications for DLT, with the most common being idiopathic pulmonary fibrosis/usual interstitial pneumonitis (<italic>n</italic> &#x3d; 6,400; 23.74%). The second and third most common indications for DLT were chronic obstructive pulmonary disease/emphysema (<italic>n</italic> &#x3d; 5,276; 22.04%), and cystic fibrosis (<italic>n</italic> &#x3d; 4,075; 17.03%). The order of common indications for DLT was identical in recipients with and without PTM (<xref ref-type="sec" rid="s11">Supplementary Table S1</xref>).</p>
</sec>
<sec id="s3-3">
<title>Types and Incidences of <italic>De Novo</italic> PTM</title>
<p>Twenty-seven types of <italic>de novo</italic> PTM were detected after DLT for non-cancerous disease during the surveillance. The common tumor types were SCC (<italic>n</italic> &#x3d; 2,711; 48.16%), BCC (<italic>n</italic> &#x3d; 965; 17.14%), lymphoma (<italic>n</italic> &#x3d; 570; 10.13%), lung cancer (<italic>n</italic> &#x3d; 187; 3.32%), colorectal cancer (<italic>n</italic> &#x3d; 184; 3.27%), prostatic cancer (<italic>n</italic> &#x3d; 144; 2.56%), skin cancer (melanoma) (<italic>n</italic> &#x3d; 123; 2.19%), bladder cancer (<italic>n</italic> &#x3d; 109; 1.94%), breast cancer (<italic>n</italic> &#x3d; 83; 1.47%), renal cancer (<italic>n</italic> &#x3d; 73; 1.30%), pancreatic cancer (<italic>n</italic> &#x3d; 60; 1.07%), esophageal cancer (<italic>n</italic> &#x3d; 47; 0.83%), tongue and throat cancer (<italic>n</italic> &#x3d; 46; 0.82%), genital cancer including vulva, peritoneum, penis, and scrotum (<italic>n</italic> &#x3d; 41; 0.73%), thyroid cancer (<italic>n</italic> &#x3d; 33; 0.59%), primary hepatic cancer (<italic>n</italic> &#x3d; 31; 0.55%), sarcoma (<italic>n</italic> &#x3d; 30; 0.53%), leukemia (<italic>n</italic> &#x3d; 30; 0.53%), primary cancer of unknown origin (<italic>n</italic> &#x3d; 29; 0.52%), stomach cancer (<italic>n</italic> &#x3d; 28; 0.50%), laryngeal cancer (<italic>n</italic> &#x3d; 28, 0.50%), small intestinal cancer (<italic>n</italic> &#x3d; 21; 0.37%), uterus cancer (<italic>n</italic> &#x3d; 17; 0.30%), ovarian cancer (<italic>n</italic> &#x3d; 14; 0.25%), Kaposi sarcoma (cutaneous type) (<italic>n</italic> &#x3d; 11; 0.20%), Kaposi sarcoma (visceral type) (<italic>n</italic> &#x3d; 8; 0.14%), and brain tumor (<italic>n</italic> &#x3d; 4; 0.07%) (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Incidence of <italic>de novo</italic> post-transplant malignancy after double lung transplantation.</p>
</caption>
<graphic xlink:href="ti-36-11552-g001.tif"/>
</fig>
</sec>
<sec id="s3-4">
<title>Annual Risks of Each <italic>De Novo</italic> PTM After DLT</title>
<p>The lifetime incidence of <italic>de novo</italic> PTM following DLT was identified as 23.52% (5,629/23,935), and the annual risks of <italic>de novo</italic> malignancy after DLT are shown in <xref ref-type="fig" rid="F2">Figure 2A</xref>. During the first year following DLT, SCC (<italic>n</italic> &#x3d; 203; 31.42%) occurred most frequently, followed by lymphoma (<italic>n</italic> &#x3d; 197; 30.50%), BCC (<italic>n</italic> &#x3d; 90; 13.93%), and lung cancer (<italic>n</italic> &#x3d; 50; 7.74%). SCC was diagnosed more than twice as frequently in the first year and most frequently in the second year following DLT (<italic>n</italic> &#x3d; 419; 52.38%), and then gradually decreased. Although BCC also occurred more frequently in the second year than in the first year following DLT, the range of change was smaller than that of SCC. Lymphoma and lung cancer most frequently occurred during the first year of DLT; the incidence decreased to less than half in the second year following DLT and gradually decreased thereafter. Although the incidence of colorectal cancer was less than 20 per year during the first 10&#xa0;years, they continued to occur even 10&#xa0;years after DLT.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Incidence of <italic>de novo</italic> malignancy after double lung transplantation. <bold>(A)</bold> Annual incidences of post-transplant malignancy. <bold>(B)</bold> Cumulative risks of top four causes of post-transplant malignancy.</p>
</caption>
<graphic xlink:href="ti-36-11552-g002.tif"/>
</fig>
</sec>
<sec id="s3-5">
<title>Cumulative Risks of Each <italic>De Novo</italic> PTM After DLT</title>
<p>The incidence of SCC increased until 10&#xa0;years and rarely occurred 20&#xa0;years following DLT, and the total cumulative incidence was 2,711 (48.16%). On the other hand, BCC was the second most common PTM after DLT and the rate of increase was slower than that of SCC. Lymphoma was the third most common PTM with a cumulative incidence of 570 (10.13%), and one-third of cases occurred during the first year of transplantation (<italic>n</italic> &#x3d; 197/570, 34.56%). Lung cancer was the fourth most common PTM with a cumulative incidence of 119 (3.55%) during the 18&#xa0;years of follow-up.</p>
<p>The cumulative risks of PTM after DLT are shown in <xref ref-type="fig" rid="F2">Figure 2B</xref> (the top four causes: SCC, BCC, lymphoma, and lung cancer) and <xref ref-type="sec" rid="s11">Supplementary Figure S1</xref> (the other causes of PTM).</p>
</sec>
<sec id="s3-6">
<title>Age Distribution of Recipients With <italic>De Novo</italic> PTM After DLT</title>
<p>When the incidence of PTMs was analyzed by age group, SCC was the most common PTM in all age groups except for recipients aged 19&#x2013;29&#xa0;years. In recipients aged 19&#x2013;29&#xa0;years, lymphoma (<italic>n</italic> &#x3d; 103, 33.88%) was the most common tumor type after DLT. While the incidence of lymphoma gradually decreased with age, BCC showed similar rates of incidence in all age groups (range, 14.47%&#x2013;19.65%). The incidence of lung cancer after DLT showed similar rates among recipients in the 19&#x2013;69 age group except for those in the 70&#x2013;79 age group (<italic>n</italic> &#x3d; 17, 7.76%). The incidence of colorectal cancer after DLT was higher in recipients aged 30&#x2013;39 and 40&#x2013;49&#xa0;years than in other age groups (<xref ref-type="table" rid="T2">Table 2</xref>; <xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Sex and age distributions in recipients with post-transplant malignancy (PTM) after double lung transplantation.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Variables (<italic>n</italic>, %)</th>
<th align="center">Sex</th>
<th colspan="6" align="center">Age groups</th>
</tr>
<tr>
<th align="center">Male: Female</th>
<th align="center">19&#x2013;29</th>
<th align="center">30&#x2013;39</th>
<th align="center">40&#x2013;49</th>
<th align="center">50&#x2013;59</th>
<th align="center">60&#x2013;69</th>
<th align="center">70&#x2013;79</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Total recipients</td>
<td align="center">13,768 (57.52): 10,167 (42.48)</td>
<td align="center">2,466</td>
<td align="center">2,457</td>
<td align="center">3,312</td>
<td align="center">7,005</td>
<td align="center">7,842</td>
<td align="center">853</td>
</tr>
<tr>
<td align="left">Recipients with PTM</td>
<td align="center">3,785 (67.24): 1,844 (32.76)</td>
<td align="center">304 (12.33)</td>
<td align="center">463 (18.84)</td>
<td align="center">744 (22.46)</td>
<td align="center">1,759 (25.11)</td>
<td align="center">2,140 (27.29)</td>
<td align="center">219 (25.67)</td>
</tr>
<tr>
<td colspan="8" align="left">Type of PTMs</td>
</tr>
<tr>
<td align="left">&#x2003;Skin cancer (Squamous cell origin)</td>
<td align="center">1,942 (71.63): 769(28.37)</td>
<td align="center">89 (29.28)</td>
<td align="center">176 (38.01)</td>
<td align="center">340 (45.7)</td>
<td align="center">876 (49.8)</td>
<td align="center">1,110 (51.87)</td>
<td align="center">120 (54.79)</td>
</tr>
<tr>
<td align="left">&#x2003;Skin cancer (Basal cell origin)</td>
<td align="center">655 (67.88): 310 (32.12)</td>
<td align="center">44 (14.47)</td>
<td align="center">91 (19.65)</td>
<td align="center">140 (18.82)</td>
<td align="center">289 (16.43)</td>
<td align="center">365 (17.06)</td>
<td align="center">36 (16.44)</td>
</tr>
<tr>
<td align="left">&#x2003;Lymphoma</td>
<td align="center">336 (58.95): 234 (41.05)</td>
<td align="center">103 (33.88)</td>
<td align="center">75 (16.20)</td>
<td align="center">72 (9.68)</td>
<td align="center">148 (8.41)</td>
<td align="center">162 (7.57)</td>
<td align="center">10 (4.57)</td>
</tr>
<tr>
<td align="left">&#x2003;Lung cancer</td>
<td align="center">127 (67.91): 60 (32.09)</td>
<td align="center">6 (1.97)</td>
<td align="center">15 (3.24)</td>
<td align="center">22 (2.96)</td>
<td align="center">52 (2.96)</td>
<td align="center">75 (3.50)</td>
<td align="center">17 (7.76)</td>
</tr>
<tr>
<td align="left">&#x2003;Colorectal ca</td>
<td align="center">94 (51.09): 90 (48.91)</td>
<td align="center">3 (0.99)</td>
<td align="center">32 (6.91)</td>
<td align="center">41 (5.51)</td>
<td align="center">60 (3.41)</td>
<td align="center">44 (2.06)</td>
<td align="center">4 (1.83)</td>
</tr>
<tr>
<td align="left">&#x2003;Prostatic cancer</td>
<td align="center">144 (100.00): 0 (0.00)</td>
<td align="center">0 (0.00)</td>
<td align="center">0 (0.00)</td>
<td align="center">15 (2.02)</td>
<td align="center">43 (2.44)</td>
<td align="center">78 (3.64)</td>
<td align="center">8 (3.65)</td>
</tr>
<tr>
<td align="left">&#x2003;Skin cancer (melanoma)</td>
<td align="center">82 (66.13): 42 (33.87)</td>
<td align="center">6 (1.97)</td>
<td align="center">7 (1.51)</td>
<td align="center">11 (1.48)</td>
<td align="center">39 (2.22)</td>
<td align="center">56 (2.62)</td>
<td align="center">5 (2.28)</td>
</tr>
<tr>
<td align="left">&#x2003;Bladder cancer</td>
<td align="center">81 (73.64): 29 (26.36)</td>
<td align="center">5 (1.64)</td>
<td align="center">0 (0.00)</td>
<td align="center">13 (1.75)</td>
<td align="center">38 (2.16)</td>
<td align="center">51 (2.38)</td>
<td align="center">3 (1.37)</td>
</tr>
<tr>
<td align="left">&#x2003;Breast cancer</td>
<td align="center">2 (2.41): 81 (97.59)</td>
<td align="center">4 (1.32)</td>
<td align="center">14 (3.02)</td>
<td align="center">14 (1.88)</td>
<td align="center">32 (1.82)</td>
<td align="center">19 (0.89)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">&#x2003;Renal cancer</td>
<td align="center">56 (76.71): 17 (23.29)</td>
<td align="center">4 (1.32)</td>
<td align="center">8 (1.73)</td>
<td align="center">14 (1.88)</td>
<td align="center">31 (1.76)</td>
<td align="center">16 (0.75)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">&#x2003;Others</td>
<td align="center">266 (55.65): 212 (44.35)</td>
<td align="center">40 (13.16)</td>
<td align="center">45 (9.72)</td>
<td align="center">62 (8.33)</td>
<td align="center">151 (8.58)</td>
<td align="center">164 (7.66)</td>
<td align="center">16 (7.31)</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Age distribution of recipients with <italic>de novo</italic> post-transplant malignancy after double lung transplantation.</p>
</caption>
<graphic xlink:href="ti-36-11552-g003.tif"/>
</fig>
</sec>
<sec id="s3-7">
<title>Incidence of <italic>De Novo</italic> PTM by Order of Occurrence in Recipients With Multiple PTM</title>
<p>A total of 4,403 recipients (78.22%) were diagnosed with a single <italic>de novo</italic> PTM after DLT, and 1,047 recipients (18.60%) were diagnosed with double <italic>de novo</italic> PTMs simultaneously or subsequently. Furthermore, 160 recipients (2.84%) and 19 recipients (0.34%) were diagnosed with three and four <italic>de novo</italic> PTMs, respectively. While BCC was the most common tumor type (<italic>n</italic> &#x3d; 2,401; 54.53%) in the first malignancy group, lymphoma was the most common tumor type in the second (<italic>n</italic> &#x3d; 403, 38.49%), and third (<italic>n</italic> &#x3d; 33, 20.63%) malignancy groups. Brain tumors (n &#x3d; 4, 0.09%) occurred only in recipients who had a single PTM (<xref ref-type="table" rid="T3">Table 3</xref>; <xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Incidence of <italic>de novo</italic> malignancy after double lung transplantation by order of occurrence in recipients with single or multiple post-transplant malignancy (PTM).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Types of PTM (<italic>n</italic>, %)</th>
<th colspan="4" align="center">Orders of <italic>de novo</italic> PTM</th>
</tr>
<tr>
<th align="center">First malignancy (<italic>n</italic> &#x3d; 4,403)</th>
<th align="center">Second malignancy (<italic>n</italic> &#x3d; 1,047)</th>
<th align="center">Third malignancy (<italic>n</italic> &#x3d; 160)</th>
<th align="center">Fourth malignancy (<italic>n</italic> &#x3d; 19)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Skin cancer (Squamous cell origin)</td>
<td align="center">495 (11.24)</td>
<td align="center">58 (5.54)</td>
<td align="center">15 (9.38)</td>
<td align="center">2 (10.53)</td>
</tr>
<tr>
<td align="left">Skin cancer (Basal cell origin)</td>
<td align="center">2,401 (54.53)</td>
<td align="center">287 (27.41)</td>
<td align="center">23 (14.38)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Lymphoma</td>
<td align="center">526 (11.95)</td>
<td align="center">403 (38.49)</td>
<td align="center">33 (20.63)</td>
<td align="center">3 (15.79)</td>
</tr>
<tr>
<td align="left">Lung cancer</td>
<td align="center">128 (2.91)</td>
<td align="center">44 (4.20)</td>
<td align="center">10 (6.25)</td>
<td align="center">5 (26.32)</td>
</tr>
<tr>
<td align="left">Colorectal ca</td>
<td align="center">144 (3.27)</td>
<td align="center">30 (2.87)</td>
<td align="center">5 (3.13)</td>
<td align="center">5 (26.32)</td>
</tr>
<tr>
<td align="left">Prostatic cancer</td>
<td align="center">102 (2.32)</td>
<td align="center">28 (2.67)</td>
<td align="center">13 (8.13)</td>
<td align="center">1 (5.26)</td>
</tr>
<tr>
<td align="left">Bladder cancer</td>
<td align="center">77 (1.75)</td>
<td align="center">37 (3.53)</td>
<td align="center">10 (6.25)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Skin cancer (melanoma)</td>
<td align="center">74 (1.68)</td>
<td align="center">24 (2.29)</td>
<td align="center">11 (6.88)</td>
<td align="center">1 (5.26)</td>
</tr>
<tr>
<td align="left">Breast cancer</td>
<td align="center">70 (1.59)</td>
<td align="center">7 (0.67)</td>
<td align="center">6 (3.75)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Renal cancer</td>
<td align="center">53 (1.20)</td>
<td align="center">16 (1.53)</td>
<td align="center">4 (2.50)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Pancreatic cancer</td>
<td align="center">44 (1.00)</td>
<td align="center">10 (0.96)</td>
<td align="center">5 (3.13)</td>
<td align="center">1 (5.26)</td>
</tr>
<tr>
<td align="left">Esophageal cancer</td>
<td align="center">31 (0.70)</td>
<td align="center">12 (1.15)</td>
<td align="center">4 (2.50)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Tongue and Throat cancer</td>
<td align="center">29 (0.66)</td>
<td align="center">14 (1.34)</td>
<td align="center">3 (1.88)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Genital cancer</td>
<td align="center">28 (0.64)</td>
<td align="center">12 (1.15)</td>
<td align="center">1 (0.63)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Thyroid cancer</td>
<td align="center">26 (0.59)</td>
<td align="center">5 (0.48)</td>
<td align="center">2 (1.25)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Hepatic cancer (Primary)</td>
<td align="center">21 (0.48)</td>
<td align="center">9 (0.86)</td>
<td align="center">1 (0.63)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Primary cancer of unknown origin</td>
<td align="center">23 (0.52)</td>
<td align="center">5 (0.48)</td>
<td align="center">2 (1.25)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Sarcoma</td>
<td align="center">16 (0.36)</td>
<td align="center">10 (0.96)</td>
<td align="center">3 (1.88)</td>
<td align="center">1 (5.26)</td>
</tr>
<tr>
<td align="left">Leukemia</td>
<td align="center">18 (0.41)</td>
<td align="center">8 (0.76)</td>
<td align="center">3 (1.88)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Laryngeal cancer</td>
<td align="center">21 (0.48)</td>
<td align="center">5 (0.48)</td>
<td align="center">2 (1.25)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Stomach cancer</td>
<td align="center">22 (0.50)</td>
<td align="center">4 (0.38)</td>
<td align="center">2 (1.25)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Small intestinal cancer</td>
<td align="center">11 (0.25)</td>
<td align="center">9 (0.86)</td>
<td align="center">1 (0.63)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Uterus carcinoma</td>
<td align="center">15 (0.34)</td>
<td align="center">2 (0.19)</td>
<td align="center">0 (0.00)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Ovarian cancer</td>
<td align="center">10 (0.23)</td>
<td align="center">4 (0.38)</td>
<td align="center">0 (0.00)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Kaposi sarcoma (Cutaneous)</td>
<td align="center">8 (0.18)</td>
<td align="center">2 (0.19)</td>
<td align="center">1 (0.63)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Kaposi sarcoma (Visceral)</td>
<td align="center">6 (0.14)</td>
<td align="center">2 (0.19)</td>
<td align="center">0 (0.00)</td>
<td align="center">0 (0.00)</td>
</tr>
<tr>
<td align="left">Brain tumor</td>
<td align="center">4 (0.09)</td>
<td align="center">0 (0.00)</td>
<td align="center">0 (0.00)</td>
<td align="center">0 (0.00)</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Incidence of <italic>de novo</italic> PTM depending on the order of occurrence in recipients with PTM.</p>
</caption>
<graphic xlink:href="ti-36-11552-g004.tif"/>
</fig>
</sec>
<sec id="s3-8">
<title>OS of Recipients With <italic>De Novo</italic> PTM After DLT</title>
<p>According to the OPTN/UNOS data, the OS of all recipients who received DLT for the non-cancerous disease was 51.04% (12,216/23,935) [OS of the recipients without <italic>de novo</italic> PTM: 53.50% (9,794/18,306); OS of the recipients with <italic>de novo</italic> PTM: 43.01% (2,421/5,629). However, OS in recipients with PTM was significantly higher than that in recipients without PTM (<xref ref-type="fig" rid="F5">Figure 5A</xref>). And the median and mean survival periods were significantly longer in the recipients with PTM group [median, recipients without PTM: 36.67&#xa0;months (range, 0.03&#x2013;330.73) vs. recipients with PTM: 97.20&#xa0;months (range, 0.90&#x2013;328.50); mean, recipients without PTM: 66.11&#xa0;months (SD, &#xb1;66.94) vs. recipients with PTM: 106.32&#xa0;months (SD, &#xb1;73.77)].</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Overall survival of recipients who received double lung transplantation. <bold>(A)</bold> Overall survival of recipients with or without post-transplant malignancy (PTM). <bold>(B)</bold> Overall survival of recipients with the top five causes of <italic>de novo</italic> PTM after double lung transplantation.</p>
</caption>
<graphic xlink:href="ti-36-11552-g005.tif"/>
</fig>
<p>While the 5-year and 10-year OS rates in recipients with PTM were higher than in those without PTM (5-year, without PTM 67.32% vs. with PTM 83.57%; 10-year, without PTM 57.90% vs. with PTM 62.00%), the 15-year and 20-year OS rates in recipients with PTM were lower than in those without PTM (15-year, without PTM 54.68% vs. with PTM 48.80%; 20-year, without PTM 53.77% vs. with PTM 44.45%).</p>
<p>Among the top five causes of PTM (SCC, BCC lymphoma, lung cancer, and colorectal cancer), the OS rate of recipients with lymphoma was the highest, and that of those with lung cancer was the lowest (<italic>p</italic> &#x3c; 0.001). The OS of recipients with SCC was worse than that of those with BCC (<xref ref-type="fig" rid="F5">Figure 5B</xref>). Kaposi sarcoma (visceral type) showed the worst prognosis among the 27 different types of PTM (<xref ref-type="sec" rid="s11">Supplementary Figure S2</xref>).</p>
<p>Age at transplantation, smoking history, occurrence of PTM and GF were associated with OS, in univariate analysis. However, in Cox regression analysis, while the occurrence of PTM was associated with lower risk of overall mortality (HR &#x3d; 0.604, 95% CI: 0.575&#x2013;0.635, <italic>p</italic> &#x3c; 0.001) after adjustment for age (continuous), sex, and smoking history (non-smoker vs. smoker), the occurrence of GF was associated with higher risk of overall mortality (HR &#x3d; 3.093, 95% CI: 2.936&#x2013;3.257, <italic>p</italic> &#x3c; 0.001) (<xref ref-type="table" rid="T4">Table 4</xref>).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Factors associated with overall survival in recipients who received double lung transplantation for non-cancerous disease.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Variables</th>
<th rowspan="2" align="center">Total (<italic>n</italic> &#x3d; 23,935)</th>
<th colspan="3" align="center">Univariate analysis</th>
<th colspan="3" align="center">Multivariate analysis</th>
</tr>
<tr>
<th align="center">HR</th>
<th align="center">95%-CI</th>
<th align="center">
<italic>p</italic>-value</th>
<th align="center">HR</th>
<th align="center">95%-CI</th>
<th align="center">
<italic>p</italic>-value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age at transplantation (mean, &#xb1;SD)</td>
<td align="center">51.91 &#xb1; 4.95</td>
<td align="center">1.012</td>
<td align="center">1.010&#x2013;1.013</td>
<td align="center">&#x3c;0.001</td>
<td align="center">1.017</td>
<td align="center">1.015&#x2013;1.019</td>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">Gender (<italic>n</italic>, %)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="center">0.069</td>
<td align="left"/>
<td align="left"/>
<td align="center">0.006</td>
</tr>
<tr>
<td align="left">&#x2003;Male</td>
<td align="center">13,768 (57.52)</td>
<td align="center">1&#x2a;</td>
<td align="left"/>
<td align="left"/>
<td align="center">1&#x2a;</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Female</td>
<td align="center">10,167 (42.48)</td>
<td align="center">0.967</td>
<td align="center">0.932&#x2013;1.003</td>
<td align="left"/>
<td align="center">0.943</td>
<td align="center">0.905&#x2013;0.983</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Smoking history (<italic>n</italic>, %)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="center">&#x3c;0.001</td>
<td align="left"/>
<td align="left"/>
<td align="center">0.095</td>
</tr>
<tr>
<td align="left">&#x2003;Non-smoker</td>
<td align="center">9,148 (38.22)</td>
<td align="center">1&#x2a;</td>
<td align="left"/>
<td align="left"/>
<td align="center">1&#x2a;</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Smoker</td>
<td align="center">11,129 (46.50)</td>
<td align="center">1.151</td>
<td align="center">0.938&#x2013;0.986</td>
<td align="left"/>
<td align="center">0.961</td>
<td align="center">0.916&#x2013;1.007</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Unknown</td>
<td align="center">3,658 (15.28)</td>
<td align="center">0.888</td>
<td align="left"/>
<td align="left"/>
<td align="center">0.547</td>
<td align="center">0.498&#x2013;0.600</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Occurrence of post-transplant malignancy (<italic>n</italic>, %)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="center">&#x3c;0.001</td>
<td align="left"/>
<td align="left"/>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;No</td>
<td align="center">18,306 (76.48)</td>
<td align="center">1&#x2a;</td>
<td align="left"/>
<td align="left"/>
<td align="center">1&#x2a;</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Yes</td>
<td align="center">5,629 (23.52)</td>
<td align="center">0.586</td>
<td align="center">0.562&#x2013;0.610</td>
<td align="left"/>
<td align="center">0.604</td>
<td align="center">0.575&#x2013;0.635</td>
<td align="left"/>
</tr>
<tr>
<td align="left">Occurrence of graft failure (<italic>n</italic>, %)</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="center">&#x3c;0.001</td>
<td align="left"/>
<td align="left"/>
<td align="center">&#x3c;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;No</td>
<td align="center">21,619 (90.32)</td>
<td align="center">1&#x2a;</td>
<td align="left"/>
<td align="left"/>
<td align="center">1&#x2a;</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Yes</td>
<td align="center">2,316 (9.68)</td>
<td align="center">2.541</td>
<td align="center">2.420&#x2013;2.667</td>
<td align="left"/>
<td align="center">3.093</td>
<td align="center">2.936&#x2013;3.257</td>
<td align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#x2a;reference</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3-9">
<title>Landmark Analysis for OS in Recipients With or Without PTM</title>
<p>To compensate for the immortal time bias of PTM, OS was calculated using landmark analysis (<xref ref-type="table" rid="T5">Table 5</xref>; <xref ref-type="fig" rid="F6">Figure 6</xref>). Using 3 and 5&#xa0;years as the landmark time points, the OS in recipients with PTM was found to be significantly better than those without PTM (3&#xa0;years, HR &#x3d; 0.797, 95% CI: 0.759&#x2013;0.836, <italic>p</italic> &#x3c; 0.001; 5&#xa0;years, HR &#x3d; 0.925, 95% CI: 0.873&#x2013;0.979, <italic>p</italic> &#x3d; 0.007). However, at the 7-year landmark time point, the difference in OS between the two groups disappeared (<italic>p</italic> &#x3d; 0.217), and after 10&#xa0;years of surveillance, the OS in recipients without PTM was better (HR &#x3d; 1.123, 95% CI: 1.025&#x2013;1.231, <italic>p</italic> &#x3d; 0.013). However, after 15&#xa0;years, there was no statistical difference in OS between the two groups (15&#xa0;years, HR &#x3d; 1.173, 95% CI: 0.986&#x2013;1.394, <italic>p</italic> &#x3d; 0.071; 20&#xa0;years, HR &#x3d; 1.055, 95% CI: 0.737&#x2013;1.509, <italic>p</italic> &#x3d; 0.770).</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Number of recipients and the occurrence of post-transplant malignancy (PTM).</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Overall survival (<italic>n</italic>, %)</th>
<th align="center">Total (<italic>n</italic> &#x3d; 23,935)</th>
<th align="center">Recipients without PTM (<italic>n</italic> &#x3d; 18,306)</th>
<th align="center">Recipients with PTM (<italic>n</italic> &#x3d; 5,629)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td colspan="4" align="left">No landmark</td>
</tr>
<tr>
<td align="left">&#x2003;Number of death events</td>
<td align="center">11,719 (48.96)</td>
<td align="center">8,512 (46.50)</td>
<td align="center">3,208 (56.99)</td>
</tr>
<tr>
<td align="left">&#x2003;Median (month, range)</td>
<td align="center">48.67 (0.03&#x2013;330.73)</td>
<td align="center">36.67 (0.03&#x2013;330.73)</td>
<td align="center">97.20 (0.90&#x2013;328.50)</td>
</tr>
<tr>
<td align="left">&#x2003;Mean (month, &#xb1;SD)</td>
<td align="center">66.11 &#xb1; 66.94</td>
<td align="center">53.74 &#xb1; 27.62</td>
<td align="center">106.32 &#xb1; 73.77</td>
</tr>
<tr>
<td align="left">&#x2003;5-year</td>
<td align="center">75.01%</td>
<td align="center">67.32%</td>
<td align="center">83.57%</td>
</tr>
<tr>
<td align="left">&#x2003;10-year</td>
<td align="center">58.86%</td>
<td align="center">57.90%</td>
<td align="center">62.00%</td>
</tr>
<tr>
<td align="left">&#x2003;15-year</td>
<td align="center">53.29%</td>
<td align="center">54.68%</td>
<td align="center">48.80%</td>
</tr>
<tr>
<td align="left">&#x2003;20-year</td>
<td align="center">51.58%</td>
<td align="center">53.77%</td>
<td align="center">44.45%</td>
</tr>
<tr>
<td align="left">3-year landmark</td>
<td align="center">18,782 (78.47)</td>
<td align="center">13,754 (75.13)</td>
<td align="center">5,028 (89.32)</td>
</tr>
<tr>
<td align="left">&#x2003;Number of death events</td>
<td align="center">6,758 (28.23)</td>
<td align="center">4,050 (22.12)</td>
<td align="center">2,708 (48.10)</td>
</tr>
<tr>
<td align="left">5-year landmark</td>
<td align="center">16,742 (69.95)</td>
<td align="center">12,201 (66.65)</td>
<td align="center">4,541 (80.67)</td>
</tr>
<tr>
<td align="left">&#x2003;Number of death events</td>
<td align="center">4,718 (19.71)</td>
<td align="center">2,497 (13.64)</td>
<td align="center">2,221 (39.46)</td>
</tr>
<tr>
<td align="left">7-year landmark</td>
<td align="center">15,323 (64.02)</td>
<td align="center">12,289 (67.13)</td>
<td align="center">4,034 (71.66)</td>
</tr>
<tr>
<td align="left">&#x2003;Number of death events</td>
<td align="center">3,299 (13.78)</td>
<td align="center">1,585 (8.66)</td>
<td align="center">1,714 (30.45)</td>
</tr>
<tr>
<td align="left">10-year landmark</td>
<td align="center">13,436 (56.14)</td>
<td align="center">10,303 (56.28)</td>
<td align="center">3,133 (55.66)</td>
</tr>
<tr>
<td align="left">&#x2003;Number of death events</td>
<td align="center">1,412 (5.90)</td>
<td align="center">599 (3.27)</td>
<td align="center">813 (14.44)</td>
</tr>
<tr>
<td align="left">15-year landmark</td>
<td align="center">12,349 (51.59)</td>
<td align="center">9,834 (53.72)</td>
<td align="center">2,515 (44.68)</td>
</tr>
<tr>
<td align="left">&#x2003;Number of death events</td>
<td align="center">325 (1.36)</td>
<td align="center">130 (0.71)</td>
<td align="center">195 (3.46)</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Landmark analysis plots showing OS at 3, 5, 7, 10, 15, and 20-year landmark time points in recipients with or without post-transplant malignancy (PTM) after double lung transplantation.</p>
</caption>
<graphic xlink:href="ti-36-11552-g006.tif"/>
</fig>
</sec>
<sec id="s3-10">
<title>Comparison of Survival Outcomes Depending on the Number of PTMs</title>
<p>When the patients were divided into two cohorts, single and multiple PTM groups, the survival outcome in recipients with multiple PTMs was significantly better than that of recipients with single PTMs (<italic>p</italic> &#x3c; 0.001). However, there was no statistically significant difference in the number of PTMs among the recipients in the multiple PTM group (<italic>p</italic> &#x3d; 0.375) (<xref ref-type="fig" rid="F7">Figure 7</xref>).</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Overall survival (OS) depends on the number of <italic>de novo</italic> post-transplant malignancies (PTMs) after double lung transplantation. <bold>(A)</bold> Comparison of OS between single and multiple PTM. <bold>(B)</bold> Comparison of OS depending on the number of PTMs.</p>
</caption>
<graphic xlink:href="ti-36-11552-g007.tif"/>
</fig>
</sec>
<sec id="s3-11">
<title>Causes of Death in Recipients Who had Received DLT</title>
<p>Among the 23,935 recipients who received DLT, 11,719 recipients (48.96%) died from 74 different causes of death. The main categories of causes of death in recipients who received DLT were as follows: infection (with 13 subcategories), cardiovascular cause (with 11 subcategories), graft failure (with 8 subcategories), pulmonary cause (with 7 subcategories), malignancy (with 6 subcategories), hemorrhagic (with 6 subcategories), cerebrovascular cause (with 5 subcategories).</p>
<p>The mortality rate in recipients without PTM was highest within 1&#xa0;year after DLT, whereas that in recipients with PTM was highest after 3&#xa0;years of DLT (<xref ref-type="fig" rid="F8">Figure 8</xref>). Although graft failure was the most common cause of death in recipients without PTM, infection (including bacterial, viral, and fungal) was the most common cause of death during the first year after DLT. On the other hand, the most common cause of death in the recipients with PTM was a metastatic malignancy, which occurred most frequently in the 3&#xa0;years after DLT (<xref ref-type="sec" rid="s11">Supplementary Figures S3, S4</xref>).</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>Causes of death in recipients who had received double lung transplantation. <bold>(A)</bold> Annual causes of death in recipients without <italic>de novo</italic> malignancy after double lung transplantation. <bold>(B)</bold> Annual causes of death in recipients with <italic>de novo</italic> malignancy after double lung transplantation.</p>
</caption>
<graphic xlink:href="ti-36-11552-g008.tif"/>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Our study&#x2019;s major findings include: 1) around one-fourth of the recipients who underwent DLT for non-cancerous diseases experienced PTM, with 27 different PTMs occurring during the follow-up period; 2) annual and cumulative risks of each PTM varied based on elapsed time post-DLT, with the highest PTM incidence in the second year after transplantation; 3) PTM incidence differed among age groups, particularly post-transplant lung cancer, which had the highest incidence in the 70&#x2013;79 age group; 4) one in five recipients with PTM after DLT was diagnosed with multiple PTMs (up to four different types), with the most common tumor types differing based on the order of occurrence; 5) OS after DLT was better in recipients with PTM than those without PTM at the 3-year, and 5-year landmark time points and in recipients diagnosed with multiple PTMs rather than a single PTM.</p>
<p>Organ transplantation has increased, and survival outcomes have improved due to advancements in immunosuppressive therapy [<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>]. However, <italic>de novo</italic> malignancy development post-transplantation, mainly related to immunosuppressive therapy [<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B24">24</xref>]. In the context of lung transplantation, although the immunosuppressive protocols are similar for both single and bilateral transplantations, our study exclusively focused on DLT. This approach was adopted to mitigate potential confounding factors such as the presence of latent lung cancer in the native lung or underlying conditions like pulmonary fibrosis that could elevate the risk of lung cancer [<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>].</p>
<p>Major PTM incidences after DLT was highest in the second-year post-transplantation. However, lymphoma was most frequent at the first year than second year. Lymphoma, a post-transplant lymphoproliferative disease, typically occurs within 4&#x2013;6&#xa0;months after hematopoietic stem cell transplantation and mainly after the first year of solid organ transplantation [<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>]. Notably, lymphoma post-solid organ transplantation occurs 11.8-fold more frequently than in the non-transplant population (<italic>p</italic> &#x3c; 0.001), and the age-stratified relative risk is higher in children under 10&#xa0;years old and adults over 60&#xa0;years. This PTM is often life-threatening, with a higher risk in heart, lung, intestinal, and multi-organ transplants [<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>]. The occurrence of post-transplant lymphoma is strongly associated with immunosuppressants, such as FK506, OKT3, and ATG [<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>].</p>
<p>After DLT for non-cancerous diseases, approximately 24% of all recipients were diagnosed with PTMs in their lifetimes, with one-fifth of them being diagnosed multiple times. There were four types of post-transplant skin cancer, including SCC, BCC, melanoma, and cutaneous Kaposi sarcoma. While BCC is more prevalent than SCC in the general population at a 4:1 ratio, where SCC occurs more frequently in transplant patients with an incidence rate 65- to 250-fold higher [<xref ref-type="bibr" rid="B35">35</xref>]. Particularly, SCC in organ transplant recipients shows a worse prognosis with nine times higher cancer-specific mortality than in the general population [<xref ref-type="bibr" rid="B36">36</xref>&#x2013;<xref ref-type="bibr" rid="B38">38</xref>]. In our study, post-transplant SCC was 3-fold higher than BCC after DLT, and the OS of recipients with BCC was better than that of those with SCC which was similar to the trend observed in the general population [<xref ref-type="bibr" rid="B39">39</xref>].</p>
<p>SCC was the most common type of PTM in most age groups, and lymphoma was the most prevalent only in the 19&#x2013;29 age group. Colorectal cancer ranked as the 5th most common PTM after DLT and mainly occurred within 1&#xa0;year after DLT in recipients in their 50s. After DLT, the risk of developing lymphoma and lung cancer was highest within the first year, while bladder cancer was most likely to occur 8&#xa0;years after DLT. Other types of PTM occurred mainly in the second year after transplantation, with the incidence gradually decreasing over time. Interestingly, lung cancer was the 4th most common PTM after DLT, despite recipients having received bilateral allogenic lung transplantation. The incidence rates of lung cancer after DLT were only 2%&#x2013;3% in most age groups, and its incidence was the highest at 8% in the 70&#x2013;79 age group. While the incidence of lung cancer in the general population gradually increases with age, the recipients who received DLT showed lower occurrence rates until their 60s, which then rapidly increased in their 70s [<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>].</p>
<p>Although immunosuppressive therapy after solid organ transplantation is necessary to prevent complications after transplantation [<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>]. However, long-term immunosuppression may promote cancer progression, whether it is a pre-existing or new lesion and the risk of PTM is increased approximately 3- to 4-fold compared with the general population [<xref ref-type="bibr" rid="B44">44</xref>&#x2013;<xref ref-type="bibr" rid="B46">46</xref>]. A conventional protocol for maintenance immunosuppressive therapy for lung transplantation is the &#x201c;triple regimen,&#x201d; which includes a calcineurin inhibitor (cyclosporine or tacrolimus), antiproliferative agents (azathioprine, mycophenolate, sirolimus, and everolimus), and corticosteroids. Tacrolimus has a pro-oncogenic effect by producing transforming growth factor &#x3b2;1 [<xref ref-type="bibr" rid="B47">47</xref>], and azathioprine is known to increase the risk of skin cancers after organ transplantation, especially SCC [<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>]. Cyclosporine use is also associated with lymphoma and skin cancer [<xref ref-type="bibr" rid="B50">50</xref>]. And the use of Voriconazole increases the risk for cutaneous SCC among solid organ transplant recipients [<xref ref-type="bibr" rid="B51">51</xref>, <xref ref-type="bibr" rid="B52">52</xref>]. However, the association between mycophenolate mofetil and increased cancer incidence after transplantation is unclear. Moreover, sirolimus is known to have both an anticancer effect (by targeting mTOR) and an immunosuppressive effect [<xref ref-type="bibr" rid="B53">53</xref>]. To summarize, different PTMs occur depending on the regimen of immunosuppressive agents [<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B28">28</xref>, <xref ref-type="bibr" rid="B54">54</xref>&#x2013;<xref ref-type="bibr" rid="B56">56</xref>]. However, information on PTM remains insufficient, and there are no guidelines for modified immunosuppressive therapy that can minimize the occurrence of PTMs.</p>
<p>In this study, we found that recipients with PTM had significantly better survival outcomes than those without PTM. However, since an earlier study had reported significantly lower 1-year and 3-year survival rates for patients with PTM [<xref ref-type="bibr" rid="B57">57</xref>], we conducted a landmark survival analysis to shed more light on this discrepancy. We assumed this was because of the immortal time bias, which means that longer recipients have a higher chance of being diagnosed with PTM. To compensate for this error, which refers to a bias that can occur in observational studies when the time between a defined event (e.g., transplantation) and the start of follow-up (e.g., diagnosis of PTM) is not considered [<xref ref-type="bibr" rid="B58">58</xref>], we performed landmark analysis with 3, 5, 7, 10, 15, and 20&#xa0;years as the landmark time points. Recipients with PTM had better short-term survival (3&#x2013;5&#xa0;years) but worse long-term survival (10&#xa0;years and beyond). Immunosuppressive therapy may contribute to PTM while preventing graft rejection. Graft failure was a major cause of death in recipients without PTM. Factors like age and comorbidities may have a greater impact on long-term survival. Beyond 15&#x2013;20&#xa0;years, there was no statistical difference in survival, possibly due to other factors and decreased statistical power.</p>
<p>The major limitation of this study is that not all patients had the same length of follow-up period and actual incidence of PTM could not be calculated for individuals who did not reach the 1-year follow-up after transplantation. And although at least 10&#xa0;years of follow-up results were investigated for most PTMs, only 9, 6, and 4&#xa0;years of follow-up results were available for leukemia, Kaposi sarcoma, and brain tumor, respectively. Another limitation of this study is that we did not completely correct for the higher chance of developing cancer over time, even though we performed a landmark analysis. However, this study provided general information on PTMs in recipients who received DLT for non-cancerous diseases, offering a comprehensive landscape in this field.</p>
<p>In conclusion, the types and characteristics of PTMs in recipients who received DLT for non-cancerous diseases were highly diverse, and the incidence varied according to age and duration after transplantation. Additionally, the survival outcomes showed significant differences depending on the existence or types of PTM. Nevertheless, we were able to identify the specific times at which each type of PTM frequently occurred. By gaining a more comprehensive understanding of the characteristics of PTMs in recipients who have undergone DLT, it may become possible to predict with greater accuracy the specific types of PTM that are most likely to occur over time and to facilitate their early detection. Such insights can potentially revolutionize our approach to monitoring and managing PTMs in DLT recipients, ultimately leading to improved clinical outcomes and a better quality of life for those who have undergone this procedure.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<title>Data Availability Statement</title>
<p>The data analyzed in this study is subject to the following licenses/restrictions: The data that support the findings of this study are available from the corresponding author upon reasonable request. Requests to access these datasets should be directed to <email>ychae@nm.org</email>.</p>
</sec>
<sec id="s6">
<title>Ethics Statement</title>
<p>The studies involving humans were approved by Northwestern University&#x2019;s Institutional Review Board Committee in Chicago, IL, United States (IRB&#x23;: STU00207117). The studies were conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec id="s7">
<title>Author Contributions</title>
<p>Conceptualization, JL and YKC; methodology, YKC, JL, AWJY, JY, HJS, and Y-GC; investigation, JL and JY; resources, AWJY, YKC, and AB; data curation, JL, AWJY, YL, and HSK; writing&#x2013;original draft preparation, JL, AWJY, and YL; writing, review, and editing, JL, YKC, Y-GC, and LIC, visualization, JL, AWJY, YL, and YKC; supervision, YKC, AB, HJS, and Y-GC; project administration, JL, LIC, AB, and YKC. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8">
<title>Funding</title>
<p>This work was supported by NIH grants HL145478 (to AB).</p>
</sec>
<sec id="s9">
<title>Author Disclaimer</title>
<p>The data reported here have been supplied by the United Network for Organ Sharing (UNOS) as the contractor for the Organ Procurement and Transplantation Network (OPTN). The interpretation and reporting of these data are the responsibility of the authors and in no way should be seen as an official policy of or interpretation by the OPTN or the U.S. Government.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<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="s11">
<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.frontierspartnerships.org/articles/10.3389/ti.2023.11552/full#supplementary-material">https://www.frontierspartnerships.org/articles/10.3389/ti.2023.11552/full&#x23;supplementary-material</ext-link>
</p>
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<supplementary-material xlink:href="Image4.tif" id="SM2" mimetype="application/tif" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image2.TIF" id="SM3" mimetype="application/TIF" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="Image1.TIF" id="SM4" mimetype="application/TIF" xmlns:xlink="http://www.w3.org/1999/xlink"/>
<supplementary-material xlink:href="DataSheet1.docx" id="SM5" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<sec id="s12">
<title>Abbreviations</title>
<p>DLT, double lung transplantation; OPTN, Organ Procurement and Transplantation Network; PTM, post-transplant malignancy; UNOS, United Network for Organ Sharing.</p>
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