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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.2025.1497691</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>Retrospective assessment of the frequency of cancer in the population of kidney transplant recipients - the experience of two transplant centers</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes" corresp="yes">
<name>
<surname>Komorowska-Jagielska</surname>
<given-names>Karolina</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes" corresp="yes">
<name>
<surname>D&#x119;bska-&#x15a;lizie&#x144;</surname>
<given-names>Alicja</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1504647/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Kolonko</surname>
<given-names>Aureliusz</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/2019715/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Heleniak</surname>
<given-names>Zbigniew</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/2369723/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ruszkowski</surname>
<given-names>Jakub</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1826394/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Czarnacka</surname>
<given-names>Kamila</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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<contrib contrib-type="author">
<name>
<surname>Imko-Walczuk</surname>
<given-names>Beata</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Biedunkiewicz</surname>
<given-names>Bogdan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Bu&#x142;&#x142;o-Piontecka</surname>
<given-names>Barbara</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bzoma</surname>
<given-names>Beata</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chamienia</surname>
<given-names>Andrzej</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Go&#x142;&#x119;biewska</surname>
<given-names>Justyna</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1675281/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Konopa</surname>
<given-names>Joanna</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Kr&#xf3;l</surname>
<given-names>Ewa</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lichodziejewska-Niemierko</surname>
<given-names>Monika</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3002638/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Rutkowski</surname>
<given-names>Przemys&#x142;aw</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tarasewicz</surname>
<given-names>Agnieszka</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Wi&#x119;cek</surname>
<given-names>Andrzej</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1212106/overview"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Lizakowski</surname>
<given-names>S&#x142;awomir</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Nephrology, Transplantology and Internal Medicine, Medical University of Gda&#x144;sk</institution>, <addr-line>Gda&#x144;sk</addr-line>,&#xa0;<country>Poland</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Nephrology, Transplantology and Internal Medicine, Medical University of Silesia</institution>, <addr-line>Katowice</addr-line>,&#xa0;<country>Poland</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Dialysis center &#x201c;Fresenius Nephrocare Poland&#x201d;</institution>, <addr-line>Ostr&#xf3;da</addr-line>,&#xa0;<country>Poland</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Skin and Venereology Clinic, Copernicus Medical Entity</institution>, <addr-line>Gda&#x144;sk</addr-line>,&#xa0;<country>Poland</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Palliative Medicine, Medical University of Gda&#x144;sk</institution>, <addr-line>Gda&#x144;sk</addr-line>,&#xa0;<country>Poland</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Internal Medicine and Pediatric Nursing, Faculty of Health Sciences, Medical University of Gda&#x144;sk</institution>,  <addr-line>Gda&#x144;sk</addr-line>,&#xa0;<country>Poland</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Tess Van Meerhaeghe, Universit&#xe9; Libre de Bruxelles, Belgium</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Peter C. Wu, University of Washington, United States</p>
<p>M&#xf3;nica Bolufer, Hospital Germans Trias i Pujol, Spain</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Karolina Komorowska-Jagielska, <email xlink:href="mailto:jagielska.karola@gmail.com">jagielska.karola@gmail.com</email>; Alicja D&#x119;bska-&#x15a;lizie&#x144;, <email xlink:href="mailto:adeb@gumed.edu.pl">adeb@gumed.edu.pl</email>; Zbigniew Heleniak, <email xlink:href="mailto:zbigniew.heleniak@gumed.edu.pl">zbigniew.heleniak@gumed.edu.pl</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to tis work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>07</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1497691</elocation-id>
<history>
<date date-type="received">
<day>17</day>
<month>09</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>05</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Komorowska-Jagielska, D&#x119;bska-&#x15a;lizie&#x144;, Kolonko, Heleniak, Ruszkowski, Czarnacka, Imko-Walczuk, Biedunkiewicz, Bu&#x142;&#x142;o-Piontecka, Bzoma, Chamienia, Go&#x142;&#x119;biewska, Konopa, Kr&#xf3;l, Lichodziejewska-Niemierko, Rutkowski, Tarasewicz, Wi&#x119;cek and Lizakowski</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Komorowska-Jagielska, D&#x119;bska-&#x15a;lizie&#x144;, Kolonko, Heleniak, Ruszkowski, Czarnacka, Imko-Walczuk, Biedunkiewicz, Bu&#x142;&#x142;o-Piontecka, Bzoma, Chamienia, Go&#x142;&#x119;biewska, Konopa, Kr&#xf3;l, Lichodziejewska-Niemierko, Rutkowski, Tarasewicz, Wi&#x119;cek and Lizakowski</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>Introduction</title>
<p>Cancer is one of the main causes of death among kidney recipients. The risk of cancer in kidney transplant recipients (KTRs) is 2&#x2013;3 times higher as compared to the general population.</p>
</sec>
<sec>
<title>Aim</title>
<p>Retrospective assessment of the occurrence of cancer in the population of KTRs &#x2013; based on data from two transplant centers.</p>
</sec>
<sec>
<title>Material</title>
<p>The study included a total of 246 KTRs, transplanted between 1980 and 2021, who were diagnosed with malignancy (the study did not include patients whose only cancer was non-melanoma skin cancer; NMSC).</p>
</sec>
<sec>
<title>Results</title>
<p>261 malignant tumors were diagnosed in 246 KTRs, 3 tumor was a recurrence, and the rest occurred <italic>de novo</italic>. The most common cancers in women were breast cancers (17.8%), colon cancers (14.5%), lung cancers and post-transplant lymphoproliferative disorder (PTLD) (8.9% each). In males, the most common cancers were native kidney cancer (16.4%), lung cancer (15.7%) and prostate cancer (14%). During the study period, among KTRs who developed solid organ malignancy, NMSC was diagnosed in 7.3% of recipients. The average time of occurrence of malignant tumors was 84.5 months/7 years after kidney transplantation (KTx), and most cancers developed in the range of 1&#x2013;5 years (33.6%) and 5&#x2013;10 years (34.42%) after KTx. Nearly half (48.8%) of patients died due to cancer.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Similarly to the general population, the most common cancers among KTRs included breast and prostate cancer, as well as colorectal and lung cancer. Attention should be paid to the extremely frequent occurrence of native kidney and lymphatic system cancers in this group of KTRs. The frequent occurrence of cancer in KTRs requires systematic screening in this population.</p>
</sec>
</abstract>
<kwd-group>
<kwd>kidney transplant</kwd>
<kwd>malignacies</kwd>
<kwd>cancer</kwd>
<kwd>kidney recipients</kwd>
<kwd>oncology in transplantation</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="7"/>
<equation-count count="0"/>
<ref-count count="41"/>
<page-count count="16"/>
<word-count count="7498"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Epidemiology and Prevention</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Epidemiological data from 40 countries in Europe reveal the incidence of 4 million new cases of solid-organ cancer (excluding non-melanoma skin cancer; NMSC) and 1.9 million cancer-related deaths in 2020. The most common were as follows: breast in females, prostate cancer in males, colon cancer, and lung cancer in both sexes, collectively accounting for half of all cancer cases (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>In Poland, cancer is the second leading cause of death in the general population (<xref ref-type="bibr" rid="B2">2</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>), causing 21.8% of male deaths and 20% of female deaths in 2020 (<xref ref-type="bibr" rid="B4">4</xref>). They constitute a significant health problem, especially among young and middle-aged people (25&#x2013;64 years old). While the incidence of malignant tumors remains stable among males, it is steadily increasing among females (<xref ref-type="bibr" rid="B3">3</xref>). In the female population for several years cancer has been the most common cause of death before the age of 65, accounting for 28.3% of deaths among young women and 41.6% of deaths among middle-aged women (<xref ref-type="bibr" rid="B4">4</xref>). Lung cancer is the predominant cancer in both sexes, accounting for one-third of all cancer-related deaths among males (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>KTRs have a significantly higher risk of the cancer development than the general population.</p>
<p>This is due to the use of immunosuppressive therapy after KTX which reduces immunosurveillance against tumoral cells and promote infections with oncogenic viruses leading to an increased cancer risk.</p>
<p>In addition, any treatment for rejection of the transplanted organ, multidrug IS regimens or IS therapy before KTx (treatment of primary kidney disease) increases the overall &#x201c;burden&#x201d; of IS, which is of significant importance. KTRs are also distinguished by the fact that cysts in their own kidneys, acquired or formed in the course of ADPKD, can undergo malignant transformation over time. In addition, impaired kidney function is a significant factor increasing the risk of developing kidney cancer due to more severe oxidative stress in this population (<xref ref-type="bibr" rid="B5">5</xref>). As a consequence, this causes a &#x201c;transfer&#x201d; of cancer risk (especially of the urinary system) from the period of ESRD to the period after transplantation (Tx). All this means that kidney recipients are developing cancer at a younger age. On the other hand, standard risk factors for cancer, such as smoking, obesity, alcohol consumption, excessive exposure to ultraviolet radiation, advanced age, occupational exposure to carcinogens, or genetic predisposition, are present in the KTRs population, which, together with kidney transplant-specific factors, significantly increase the risk of cancer in this population.</p>
<p>Cancer is one of the three main causes of death among kidney transplant recipients (KTRs) (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>) and thus, cancer after kidney transplantation (KTx) poses a significant challenge for clinicians.</p>
<p>This study aimed to retrospectively assess the occurrence of cancer within the KTRs based on data from two transplant centers.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<p>The inclusion criteria consisted of the KTRs diagnosed with malignant neoplasia, including melanoma. The exclusion criteria included the KTRs with only NMSC and diagnosis of neoplasm after the patient&#x2019;s death (in the autopsy procedure).</p>
<p>The group of patients with NMSC was excluded because it is a group of tumors that are characterized by a different course and different pathophysiology in comparison with solid organ tumors after Tx. In a view of the above, a separate patient database is devoted to NMSC. Only one case of a recipient in whom cancer was diagnosed in postmortem examination was excluded because it was impossible to calculate the survival time from diagnosis to death, which was of interest to us.</p>
<p>Moreover, this cohort excluded patients with incomplete medical documentation and patients moved to another transplant center.</p>
<p>All KTRs who were transplanted between 1980 and 2021 in either of the two transplant centers (TC) in Poland:  the Department of Nephrology, Transplantology and Internal Medicine, Medical University of Gdansk, in Gdansk and the Departmentof Nephrology, Transplantology and Internal Medicine, Medical University of Silesia in Katowic were screened towards inclusion/exclusion criteria of our study.</p>
<p>Cancers with a common location and similar prognosis were analyzed together (e.g. head&amp;neck, PTLD (regardless of immunophenotype).</p>
<p>KTRs with cancer diagnosis without disease recurrence 5 years after treatment were considered cured.</p>
<sec id="s2_1">
<title>Statistical analysis</title>
<p>Microsoft Office Excel 365 and rStudio 2023.06.0 (R 4.2.3 and packages: dplyr 1.1.3, readxl 1.4.3, gtsummary 1.7.2) were utilized for data cleaning and basic statistical analysis. Since the measured continuous variables did not follow a normal distribution, they were expressed as medians with the interquartile range (IQR). To determine whether the variables&#x2be; distributions adhered to a normal distribution, evaluations of histograms and the Shapiro-Wilk test were conducted. The differences between the two groups were calculated using U Mann&#x2013;Whitney tests, whereas between more than 2 groups using the Kruskal-Wallis test. Categorical variables were compared using the &#x3c7; 2 test or Fisher&#x2be; exact test.</p>
<p>Both survival analyses and visualizations were performed using Python 3.11.5 and its libraries: lifelines 0.27.8, matplotlib 3.7.2, pandas 2.0.3. The Kaplan&#x2013;Meier estimator was used to estimate both cancer-free survival (time between KTx and cancer diagnosis) and survival after cancer diagnosis (time between cancer diagnosis and all-cause death). Based on the estimator, the estimated median time to either cancer diagnosis or death were calculated. Comparison of survival function between groups was conducted using log-rank test; additional analyses of log(-log) transformed Kaplan-Meier curves were conducted at fixed time points: 1, 3, 5, 10 years. Next, to verify the independency of identified factors, Cox&#x2019;s proportional hazard model were fitted. In adjusted multivariable models, age (and, to account for non-linear relationship with hazard function, square of the difference between the age of the patient and the mean age of the group).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>The cohort of 3242 KTRs screened towards the inclusion and exclusion criteria, and a total of 246 (7.6%) patients met the eligibility criteria and were included in the analysis. Among these, 140 patients (56.9%) were transplanted in the TC2. Detailed demographic and clinical characteristics of the study group are presented in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The mean follow-up period was 35.7 months (mo) (range 0-230)/2.9y. The longest mean follow-up time was for: testis cancer (53.3 mo/4.4y), kidney cancer (48.1 mo/4y), and colon cancer (46.5 mo/3,8y). The shortest follow-up time was for: biliary tract cancer (4.5 mo/0,37y), lung cancer (9.5 mo/0,8y), and pancreas cancer (12.2 mo/1y).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Detailed demographic and clinical characteristics of the study group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">
</th>
<th valign="middle" align="left">All</th>
<th valign="middle" align="left">Females</th>
<th valign="middle" align="left">Males</th>
<th valign="middle" align="left">
<italic>p</italic> value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">N</td>
<td valign="middle" align="left">246</td>
<td valign="middle" align="left">88 (35.8)</td>
<td valign="middle" align="left">158 (64.2)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Age of recipients, median (IQR), years</td>
<td valign="middle" align="left">53.0 (44.0-60.0)</td>
<td valign="middle" align="left">51.0 (40.8-59.0)</td>
<td valign="middle" align="left">53.0 (45.0-60.0)</td>
<td valign="middle" align="left">0.12</td>
</tr>
<tr>
<td valign="middle" align="left">Cause of ESKD</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.025<sup>a</sup>
</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;GN, n (%)</td>
<td valign="middle" align="left">98 (39.8)</td>
<td valign="middle" align="left">26 (29.6)</td>
<td valign="middle" align="left">72 (45.6)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;DM, n (%)</td>
<td valign="middle" align="left">20 (8.2)</td>
<td valign="middle" align="left">8 (9.1)</td>
<td valign="middle" align="left">12 (7.6)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;HA, n (%)</td>
<td valign="middle" align="left">17 (6.9)</td>
<td valign="middle" align="left">6 (6.8)</td>
<td valign="middle" align="left">11 (6.9)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;ADPKD, n (%)</td>
<td valign="middle" align="left">34 (13.8)</td>
<td valign="middle" align="left">20 (22.7)</td>
<td valign="middle" align="left">14 (8.9)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Interstitial nephritis</td>
<td valign="middle" align="left">22 (8.9)</td>
<td valign="middle" align="left">10 (11.4)</td>
<td valign="middle" align="left">12 (7.6)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Other or unknown etiology, n (%)</td>
<td valign="middle" align="left">55 (22.4)</td>
<td valign="middle" align="left">18 (20.5)</td>
<td valign="middle" align="left">37 (23.4)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Time of RRT, median (IQR), months</td>
<td valign="top" align="left">26.0 (15.0-41.0)</td>
<td valign="top" align="left">24.0 (14.5-41.0)</td>
<td valign="top" align="left">26.5 (15.0-41.0)</td>
<td valign="middle" align="left">0.69</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No data, n</td>
<td valign="top" align="left">11</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">6</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">RRT</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.38</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;HD, n (%)</td>
<td valign="middle" align="left">206 (86.2)</td>
<td valign="middle" align="left">69 (82.1)</td>
<td valign="middle" align="left">137 (88.4)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;PD, n (%)</td>
<td valign="middle" align="left">24 (10.0)</td>
<td valign="middle" align="left">11 (13.1)</td>
<td valign="middle" align="left">13 (8.4)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;HD+PD, n (%)</td>
<td valign="middle" align="left">3 (1.3)</td>
<td valign="middle" align="left">2 (2.4)</td>
<td valign="middle" align="left">1 (0.6)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Preemptive, n (%)</td>
<td valign="middle" align="left">6 (2.5)</td>
<td valign="middle" align="left">2 (2.4)</td>
<td valign="middle" align="left">4 (2.6)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No data</td>
<td valign="middle" align="left">7</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">3</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Number of KTx</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.06</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;First KTx, n (%)</td>
<td valign="middle" align="left">231 (93.9)</td>
<td valign="middle" align="left">86 (97.7)</td>
<td valign="middle" align="left">145 (91.8)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Second KTx, n (%)</td>
<td valign="middle" align="left">15 (6.1)</td>
<td valign="middle" align="left">2 (2.3)</td>
<td valign="middle" align="left">13 (8.2)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">Cancer before KTx, n(%)</td>
<td valign="middle" align="left">14 (5.8)</td>
<td valign="middle" align="left">7 (8.3)</td>
<td valign="middle" align="left">7 (4.5)</td>
<td valign="middle" align="left">0.25</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No data</td>
<td valign="middle" align="left">5</td>
<td valign="middle" align="left">4</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">IS before KTx, n (%)</td>
<td valign="middle" align="left">36 (14.6)</td>
<td valign="middle" align="left">12 (13.6)</td>
<td valign="middle" align="left">24 (15.2)</td>
<td valign="middle" align="left">0.74</td>
</tr>
<tr>
<td valign="middle" align="left">Induction</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.33</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Basiliximab, n (%)</td>
<td valign="middle" align="left">28 (11.4)</td>
<td valign="middle" align="left">12 (13.6)</td>
<td valign="middle" align="left">16 (10.2)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;ATG or thymoglobulin, n (%)</td>
<td valign="middle" align="left">18 (7.4)</td>
<td valign="middle" align="left">8 (9.1)</td>
<td valign="middle" align="left">10 (6.4)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;OKT13, n (%)</td>
<td valign="middle" align="left">1 (0.4)</td>
<td valign="middle" align="left">1 (1.1)</td>
<td valign="middle" align="left">0 (0.0)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Lack of induction, n (%)</td>
<td valign="middle" align="left">198 (80.8)</td>
<td valign="middle" align="left">67 (76.1)</td>
<td valign="middle" align="left">131 (83.4)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No data, n</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left">0</td>
<td valign="middle" align="left">1</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">IS after KTx:</td>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left"/>
<td valign="middle" align="left">0.73</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;GC+MMF+TAC, n (%)</td>
<td valign="top" align="left">94 (38.5)</td>
<td valign="top" align="left">35 (39.7)</td>
<td valign="top" align="left">59 (37.8)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;GC+MMF+CsA, n (%)</td>
<td valign="top" align="left">60 (24.6)</td>
<td valign="top" align="left">22 (25.0)</td>
<td valign="top" align="left">38 (24.3)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;GC+AZA+CsA, n (%)</td>
<td valign="top" align="left">60 (24.6)</td>
<td valign="top" align="left">17 (19.3)</td>
<td valign="top" align="left">43 (27.6)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;GC+CsA, n (%)</td>
<td valign="top" align="left">5 (2.1)</td>
<td valign="top" align="left">2 (2.3)</td>
<td valign="top" align="left">3 (1.9)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;GC+TAC, n (%)</td>
<td valign="top" align="left">4 (1.6)</td>
<td valign="top" align="left">2 (2.3)</td>
<td valign="top" align="left">2 (1.3)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;MMF+TAC, n (%)</td>
<td valign="top" align="left">4 (1.6)</td>
<td valign="top" align="left">2 (2.3)</td>
<td valign="top" align="left">2 (1.3)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Other IS, n (%)</td>
<td valign="top" align="left">17 (7.0)</td>
<td valign="top" align="left">8 (9.1)</td>
<td valign="top" align="left">9 (5.8)</td>
<td valign="middle" align="left"/>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;No data, n</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">2</td>
<td valign="middle" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Groups were compared using Fisher&#x2019;s exact test, Pearson&#x2019;s &#x3c7;<sup>2</sup> test, and Wilcoxon rank sum test.</p>
</fn>
<fn>
<p>A, Pearson&#x2019;s &#x3c7;<sup>2</sup> test;: ADPKD, autosomal dominant polycystic kidney disease; ATG, anti-human thymocyte globulin; AZA, azathioprine; CsA, cyclosporine A; DM, diabetes mellitus; ESRD, end-stage renal disease; GS, glucocorticosteroids; GN, gromerulonephritis; HD, hemodialysis; HA, Hypertension; IS, immunosupressive; KTx, kidney transplantation; MMF, mycophenolate mofetil or mycophenolate sodium; OKT3, anti-CD3 monoclonal antibody; PD, peritoneal dialysis; RRT, renal replacement therapy; TAC, tacrolimus.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3_1">
<title>Characteristics of recipients with malignancies</title>
<p>Most of the patients included in the study were male (n = 158; 64.2%). Apart from a slightly different distribution in the causes of kidney failure (p = 0.025), no other significant differences based on sex were observed.</p>
<p>The vast majority of included patients underwent their first kidney transplant (93.9%), while 6.1% the second KTx. Preemptive KTx was performed in 6 patients of our study population.</p>
</sec>
<sec id="s3_2">
<title>Cancer in the pre-transplantation history</title>
<p>In the pre-transplantation period, 5.8% of recipients included in the study suffered from cancer; these were as follows breast cancer (n=3), endometrial cancer (n=1), colon cancer (n=1), kidney cancer (n=2), lymphoproliferative leukemia (n=1), prostate cancer (n=1), head/neck cancer (n=1) and skin cancer (n=4). We observed a recurrence of cancer (breast cancer) after KTx in 3 cases.</p>
</sec>
<sec id="s3_3">
<title>Immunosuppressive medications and previous exposure to IS</title>
<p>14.6% of recipients had a pre-transplant history of IS treatment due to glomerulonephritis (GN) or the first KTx. In the peritransplantation period, 19.1% of recipients received induction therapy, predominantly using basiliximab (11.4%) and anti-human thymocyte globulin (ATG) (7.4%). The most common primary IS regimen consisted of a triple-drug combination, comprising calcineurin inhibitors (CNIs) [tacrolimus (TAC) or cyclosporine (CsA)], an antimetabolite such as mycophenolate mofetil (MMF) or azathioprine (AZA) and glucocorticosteroids (GS). Double-drug combinations were less frequently utilized.</p>
</sec>
<sec id="s3_4">
<title>Cases of cancers observed during the follow-up</title>
<p>A total of 261 malignant tumors were diagnosed in 246 kidney transplant recipients (KTRs). Among these, 3 tumors were recurrences, while the remaining cases were <italic>de novo</italic> occurrences. In 10 recipients, developed two different cancers (native kidney - lung, colon - native kidney, lung - prostatic gland, melanoma - prostatic gland, native kidney - PTLD, prostatic gland - bladder, thyroid-melanoma, native kidney - bile ducts) and one recipient with myeloproliferative disease developed acute leukemia.</p>
<p>In 2 patients three different cancers were noticed (prostatic gland - native kidney - colon, native kidney &#x2013; lung- adrenal gland).</p>
<p>Interestingly, during the study period, among recipients who developed solid organ cancer, 7.3% also simultaneously developed NMSC.</p>
<p>The cases of each cancer type within the study population, stratified by sex, is detailed in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. Furthermore, the analysis revealed a significantly higher proportion of native kidney cancer in males (p = 0.04), while central nervous system (CNS) cancers predominated in females (p = 0.04).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>The cases of each cancer type within the study population, stratified by sex.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Cancer type</th>
<th valign="top" align="left">ALL n</th>
<th valign="top" align="left">Cases %</th>
<th valign="top" align="left">M n</th>
<th valign="top" align="left">Cases %</th>
<th valign="top" align="left">F n</th>
<th valign="top" align="left">Cases %</th>
<th valign="top" align="left">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Lung</td>
<td valign="top" align="left">35</td>
<td valign="top" align="left">13.4</td>
<td valign="top" align="left">27</td>
<td valign="top" align="left">15.7</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">8.9</td>
<td valign="top" align="left">0.17</td>
</tr>
<tr>
<td valign="top" align="left">Native kidney</td>
<td valign="top" align="left">34</td>
<td valign="top" align="left">13.02</td>
<td valign="top" align="left">28</td>
<td valign="top" align="left">16.4</td>
<td valign="top" align="left">6</td>
<td valign="top" align="left">6.7</td>
<td valign="top" align="left">
<bold>0.04</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Colon</td>
<td valign="top" align="left">27</td>
<td valign="top" align="left">10.34</td>
<td valign="top" align="left">14</td>
<td valign="top" align="left">8.2</td>
<td valign="top" align="left">13</td>
<td valign="top" align="left">14.5</td>
<td valign="top" align="left">0.11</td>
</tr>
<tr>
<td valign="top" align="left">PTLD</td>
<td valign="top" align="left">26</td>
<td valign="top" align="left">9.97</td>
<td valign="top" align="left">18</td>
<td valign="top" align="left">10.55</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">8.9</td>
<td valign="top" align="left">0.67</td>
</tr>
<tr>
<td valign="top" align="left">Prostate gland</td>
<td valign="top" align="left">24</td>
<td valign="top" align="left">9.19</td>
<td valign="top" align="left">24</td>
<td valign="top" align="left">14</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Breast<break/>
<bold>(3 recurrence)</bold>
</td>
<td valign="top" align="left">16</td>
<td valign="top" align="left">6.13</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">16</td>
<td valign="top" align="left">17.8</td>
<td valign="top" align="left">&lt;0.0001 (Fi)</td>
</tr>
<tr>
<td valign="top" align="left">Others (eye, sarcoma, adrenal gland, small intestine, duodenum, vulva)</td>
<td valign="top" align="left">16</td>
<td valign="top" align="left">6.13</td>
<td valign="top" align="left">9</td>
<td valign="top" align="left">5.3</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">7.8</td>
<td valign="top" align="left">0.42</td>
</tr>
<tr>
<td valign="top" align="left">Head&amp;neck (nasopharynx, larynx, tongue, salivary gland, thyroid gland)</td>
<td valign="top" align="left">15</td>
<td valign="top" align="left">5.74</td>
<td valign="top" align="left">12</td>
<td valign="top" align="left">7.1</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">3.3</td>
<td valign="top" align="left">0.22</td>
</tr>
<tr>
<td valign="top" align="left">Pancreas</td>
<td valign="top" align="left">11</td>
<td valign="top" align="left">4.21</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">4.1</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">4.45</td>
<td valign="top" align="left">1.00 (Fi)</td>
</tr>
<tr>
<td valign="top" align="left">Bladder</td>
<td valign="top" align="left">9</td>
<td valign="top" align="left">3.44</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">4.1</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">2.2</td>
<td valign="top" align="left">0.72 (Fi)</td>
</tr>
<tr>
<td valign="top" align="left">Hematological (besides PTLD)</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">2.68</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">2.9</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">2.2</td>
<td valign="top" align="left">1.00 (Fi)</td>
</tr>
<tr>
<td valign="top" align="left">HCC</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">2.68</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">2.3</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">3.3</td>
<td valign="top" align="left">0.69 (Fi)</td>
</tr>
<tr>
<td valign="top" align="left">Melanoma</td>
<td valign="top" align="left">6</td>
<td valign="top" align="left">2.29</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">2.9</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">1.1</td>
<td valign="top" align="left">0.66 (Fi)</td>
</tr>
<tr>
<td valign="top" align="left">Transplant kidney</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">1.91</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">2.3</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">1.1</td>
<td valign="top" align="left">0.66 (Fi)</td>
</tr>
<tr>
<td valign="top" align="left">CNS</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">1.91</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.6</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">4.45</td>
<td valign="top" align="left">
<bold>0.04 (Fi)</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Uterus</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">1.91</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">5.55</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Stomach</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">1.53</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.6</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">3.3</td>
<td valign="top" align="left">0.11 (Fi)</td>
</tr>
<tr>
<td valign="top" align="left">Ovary</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">1.53</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">4.45</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Testis</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">1.15</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">1.75</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Bile ducts</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">0.76</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">1.2</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">0</td>
<td valign="top" align="left">0.54 (Fi)</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>TOTAL:</bold>
</td>
<td valign="top" align="left">
<bold>261</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="left">
<bold>171</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="left">
<bold>90</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Groups were compared using Fisher&#x2019;s exact test, Pearson&#x2019;s &#x3c7;<sup>2</sup>.</p>
</fn>
<fn>
<p>F, females; Fi, Fisher&#x2019;s exact test; HCC, hepatocellular carcinoma; M, males; PTLD, post-transplant lymphoproliferative disorder.</p>
<p>Bold values provided means statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The mean age of the recipient at the time of cancer development was 57.8 years. The mean time from transplantation to cancer diagnosis was 84.5 mo/7y. Most cancers were diagnosed within the time frame of 1&#x2013;5 years (33.60%) and 5&#x2013;10 years (34.42%) after KTx. Early cancers (&lt;1 year after KTx) were diagnosed more often in females than in males (13.6% vs 8.9%). Late cancers (15&#x2013;20 years) were more often in males as compare to females (8.91% vs 3.44%). The cases of cancers in time intervals, divided by sex, shows <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Incidence of cancer after kidney transplantation in time intervals, divided by sex. KTx, kidney transplantation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1497691-g001.tif"/>
</fig>
<p>34 kidney cancers (28 males vs 6 females) were diagnosed in native kidneys (p= 0.043), 76.95 mo/6.4y after Tx and 5 in the transplanted kidney (4 male vs 1 female) (p=0.662), 162.6 mo/13.5y after Tx. <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> presents the time of particular cancer diagnosis since KTx.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Time from kidney transplantation to cancer diagnosis, survival from cancer diagnosis and survival from kidney transplantation.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Cancer</th>
<th valign="middle" align="left">n</th>
<th valign="middle" align="left">Time from KTx to cancer diagnosis Median (IQR) [mo]</th>
<th valign="middle" align="left">Survival from cancer diagnosis Median (95% CI) [mo]</th>
<th valign="middle" align="left">Survival from KTx Median (95% CI) [mo]</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Lung</td>
<td valign="top" align="left">34</td>
<td valign="top" align="left">62.5 (36.5-100)</td>
<td valign="top" align="left">7 (3-9)</td>
<td valign="top" align="left">64 (48-105)</td>
</tr>
<tr>
<td valign="top" align="left">Native kidney</td>
<td valign="top" align="left">31</td>
<td valign="top" align="left">55 (35-94.5)</td>
<td valign="top" align="left">75 (&gt;35)</td>
<td valign="top" align="left">176 (111-228)</td>
</tr>
<tr>
<td valign="top" align="left">Colon</td>
<td valign="top" align="left">26</td>
<td valign="top" align="left">90.5 (48.5-133)</td>
<td valign="top" align="left">69 (&gt;29)</td>
<td valign="top" align="left">264 (&gt;150)</td>
</tr>
<tr>
<td valign="top" align="left">PTLD</td>
<td valign="top" align="left">25</td>
<td valign="top" align="left">69 (20.3-120)</td>
<td valign="top" align="left">11 (&gt;3)</td>
<td valign="top" align="left">121 (72-332)</td>
</tr>
<tr>
<td valign="top" align="left">Prostate</td>
<td valign="top" align="left">22</td>
<td valign="top" align="left">92 (55-176)</td>
<td valign="top" align="left">124 (&gt;40)</td>
<td valign="top" align="left">242 (&gt;207)</td>
</tr>
<tr>
<td valign="top" align="left">Breast</td>
<td valign="top" align="left">16</td>
<td valign="top" align="left">90 (22.5-117.3)</td>
<td valign="top" align="left">78 (8-227)</td>
<td valign="top" align="left">169 (107-241)</td>
</tr>
<tr>
<td valign="top" align="left">Head&amp;neck</td>
<td valign="top" align="left">15</td>
<td valign="top" align="left">60 (30.5-131.5)</td>
<td valign="top" align="left">33 (&gt;5)</td>
<td valign="top" align="left">114 (&gt;74)</td>
</tr>
<tr>
<td valign="top" align="left">Pancreas</td>
<td valign="top" align="left">11</td>
<td valign="top" align="left">94 (64-96)</td>
<td valign="top" align="left">6 (2-20)</td>
<td valign="top" align="left">98 (53-146)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>KTx, kidney transplantation; MO, months; PTLD, post-transplant lymphoproliferative disorder.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3_4_1">
<title>Cancers in females</title>
<p>The most common cancers after KTx in women were breast cancer (17.8%), colon cancer (14.5%), PTLD, and lung cancer (8.9%) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Melanoma, PTLD, and CNS cancer occurred in younger recipients (32.0, 45.7, and 45.7 years, respectively). In contrast, bladder, pancreas, and lung cancers developed in older recipients (67.5, 65.0, and 62.6 years, respectively). The earliest diagnosed cancers after KTx were vulva (mean time 39.7 mo/3.3y) and sarcoma (mean time 20 months/1.6y) and the latest after KTx were cancers of the digestive system: hepatocellular carcinoma (HCC) (mean time 143.6 mo/11.9 y), stomach cancer (mean time 118.6 mo/9.9y) and ovarian cancer (mean time 117 mo/9.75y). One case of kidney cancer was diagnosed in transplanted kidneys 246 mo/20.5y after KTx and 6 were diagnosed in native kidneys 74.7 mo/6.2y after Tx. All patients suffering from pancreatic cancer, HCC, and head and neck cancers died due to cancer. None of the female recipients with native kidney cancer and transplanted kidney cancer died due to cancer (1 died due to stroke and 1 due to COVID-19), during follow up 38.8 mo/3.2y. The occurrence of cancer in female - recipients is presented in <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>The occurrence of cancer after kidney transplantation in females.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Cancer type</th>
<th valign="top" align="left">F N</th>
<th valign="top" align="left">Cases %</th>
<th valign="top" align="left">Age at KTx, mean (range), y</th>
<th valign="top" align="left">Age at cancer, mean (range), y</th>
<th valign="top" align="left">Time: KTx to cancer, mean (range), mo</th>
<th valign="top" align="left">Deaths, N (%)</th>
<th valign="top" align="left">Time: diagnosis to death, mean, mo</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Breast (3 recurrence case)</td>
<td valign="top" align="left">16</td>
<td valign="top" align="left">17.8</td>
<td valign="top" align="left">50.5 (31-73)</td>
<td valign="top" align="left">57.1 (39-80)</td>
<td valign="top" align="left">73.8 (5-130)</td>
<td valign="top" align="left">7 (43.75)</td>
<td valign="top" align="left">59.7</td>
</tr>
<tr>
<td valign="top" align="left">Colon</td>
<td valign="top" align="left">13</td>
<td valign="top" align="left">14.5</td>
<td valign="top" align="left">48.3 (20-74)</td>
<td valign="top" align="left">55.2 (35-78)</td>
<td valign="top" align="left">85.2 (24-190)</td>
<td valign="top" align="left">7 (53.8)</td>
<td valign="top" align="left">25.7</td>
</tr>
<tr>
<td valign="top" align="left">PTLD</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">8.9</td>
<td valign="top" align="left">41.4 (20-62)</td>
<td valign="top" align="left">45.7 (21-65)</td>
<td valign="top" align="left">75.6 (1-329)</td>
<td valign="top" align="left">5 (62.5)</td>
<td valign="top" align="left">7.4</td>
</tr>
<tr>
<td valign="top" align="left">Lung</td>
<td valign="top" align="left">8</td>
<td valign="top" align="left">8.9</td>
<td valign="top" align="left">55 (44-73)</td>
<td valign="top" align="left">62.6 (44-78)</td>
<td valign="top" align="left">96.4 (6-219)</td>
<td valign="top" align="left">7 (87.5)</td>
<td valign="top" align="left">6.1</td>
</tr>
<tr>
<td valign="top" align="left">Others<sup>a</sup>
</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">7.8</td>
<td valign="top" align="left">47.1 (27-65)</td>
<td valign="top" align="left">50.6 (29-71)</td>
<td valign="top" align="left">42.7 (7-76)</td>
<td valign="top" align="left">3 (42.85)</td>
<td valign="top" align="left">13.3</td>
</tr>
<tr>
<td valign="top" align="left">Native kidney</td>
<td valign="top" align="left">6</td>
<td valign="top" align="left">6.7</td>
<td valign="top" align="left">54 (31-67)</td>
<td valign="top" align="left">58.2 (36-75)</td>
<td valign="top" align="left">74.7 (35-127)</td>
<td valign="top" align="left">0 (0)</td>
<td valign="top" align="left">0</td>
</tr>
<tr>
<td valign="top" align="left">Uterus</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">5.55</td>
<td valign="top" align="left">47 (21-71)</td>
<td valign="top" align="left">52.6 (27-73)</td>
<td valign="top" align="left">57.2 (11-157)</td>
<td valign="top" align="left">3 (60)</td>
<td valign="top" align="left">25</td>
</tr>
<tr>
<td valign="top" align="left">Ovary</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">4.45</td>
<td valign="top" align="left">38 (21-55)</td>
<td valign="top" align="left">48 (38-57)</td>
<td valign="top" align="left">117 (11-250)</td>
<td valign="top" align="left">1 (25)</td>
<td valign="top" align="left">5</td>
</tr>
<tr>
<td valign="top" align="left">CNS</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">4.45</td>
<td valign="top" align="left">39.25 (30-44)</td>
<td valign="top" align="left">45.75 (31-53)</td>
<td valign="top" align="left">79.25 (12-112)</td>
<td valign="top" align="left">1 (25)</td>
<td valign="top" align="left">5</td>
</tr>
<tr>
<td valign="top" align="left">Pancreas</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">4.45</td>
<td valign="top" align="left">58 (50-66)</td>
<td valign="top" align="left">65 (57-73)</td>
<td valign="top" align="left">85.5 (7-146)</td>
<td valign="top" align="left">4 (100)</td>
<td valign="top" align="left">2.8</td>
</tr>
<tr>
<td valign="top" align="left">Head&amp;Neck (nasopharynx, larynx)</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">3.3</td>
<td valign="top" align="left">53.3 (43-64)</td>
<td valign="top" align="left">58.3 (51-67)</td>
<td valign="top" align="left">60.3 (34-97)</td>
<td valign="top" align="left">3 (100)</td>
<td valign="top" align="left">14</td>
</tr>
<tr>
<td valign="top" align="left">HCC</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">3.3</td>
<td valign="top" align="left">41 (28-65)</td>
<td valign="top" align="left">52.3 (37-65)</td>
<td valign="top" align="left">143.7 (3-335)</td>
<td valign="top" align="left">3 (100)</td>
<td valign="top" align="left">2.3</td>
</tr>
<tr>
<td valign="top" align="left">Stomach</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">3.3</td>
<td valign="top" align="left">51.6 (45-59)</td>
<td valign="top" align="left">61.3 (59-66)</td>
<td valign="top" align="left">118.6 (173-183)</td>
<td valign="top" align="left">2 (66.6)</td>
<td valign="top" align="left">3.5</td>
</tr>
<tr>
<td valign="top" align="left">Bladder</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">2.2</td>
<td valign="top" align="left">59 (49-69)</td>
<td valign="top" align="left">67.5 (62-73)</td>
<td valign="top" align="left">101.5 (47-156)</td>
<td valign="top" align="left">1 (50)</td>
<td valign="top" align="left">9</td>
</tr>
<tr>
<td valign="top" align="left">Hematological</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">2.2</td>
<td valign="top" align="left">57 (55-59)</td>
<td valign="top" align="left">61.5 (60-63)</td>
<td valign="top" align="left">61 (59-63)</td>
<td valign="top" align="left">1 (50)</td>
<td valign="top" align="left">1</td>
</tr>
<tr>
<td valign="top" align="left">Transplant kidney</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">1.1</td>
<td valign="top" align="left">26</td>
<td valign="top" align="left">47</td>
<td valign="top" align="left">246</td>
<td valign="top" align="left">0(0)</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Melanoma</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">1.1</td>
<td valign="top" align="left">22</td>
<td valign="top" align="left">32</td>
<td valign="top" align="left">120</td>
<td valign="top" align="left">0(0)</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">Total</td>
<td valign="top" align="left">90</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CNS, central nervous system; HCC, hepatocellular carcinoma; F, females; Mo, months; PTLD, post-transplant lymphoproliferative disorder; Y, years; <sup>a</sup> Others (sarcoma, small intestine, duodenum, vulva).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4_2">
<title>Cancers in males</title>
<p>The most common cancers after KTx in males were cancers of the native kidney (16.4%) and cancer of the lung (15.7%), prostatic gland (14%), and PTLD (10.55%) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Cancers of testis, PTLD, and HCC occurred in younger recipients (44, 50, and 52 years, respectively). In contrast, pancreas, bladder, and prostatic gland cancers developed in older recipients (67, 65, and 65 years, respectively). The earliest after KTx was CNS neoplasm (mean time 26 mo/2.16y), hematological (49.2 mo/4.1y), and testis cancers (56.7 mo/4.7y). The latest after KTx were: HCC (mean time 167.75 mo/13.9y), kidney transplant (mean time 141.75 mo/11,8y), and colon (mean time 121.4 mo/10.1y) cancers. 100% of patients died of stomach, bile ducts and CNS cancer.</p>
<p>There were no deaths due to cancer development in the transplanted kidney. The occurrence of cancer in male recipients is presented in <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>.</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>The occurrence of cancer after kidney transplantation in males.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Cancer type</th>
<th valign="top" align="left">M N</th>
<th valign="top" align="left">Cases %</th>
<th valign="top" align="left">Age at KTx, mean (range), y</th>
<th valign="top" align="left">Age at cancer, mean (range), y</th>
<th valign="top" align="left">Time: KTx to cancer, mean (range), mo</th>
<th valign="top" align="left">Deaths, N (%)</th>
<th valign="top" align="left">Time: diagnosis to death, mean, mo</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Native kidney</td>
<td valign="top" align="left">28</td>
<td valign="top" align="left">16.4</td>
<td valign="top" align="left">53.85 (26-70)</td>
<td valign="top" align="left">60 (34-76)</td>
<td valign="top" align="left">77.5 (4-193)</td>
<td valign="top" align="left">6 (22.2)</td>
<td valign="top" align="left">28.4</td>
</tr>
<tr>
<td valign="top" align="left">Lung</td>
<td valign="top" align="left">27</td>
<td valign="top" align="left">15.7</td>
<td valign="top" align="left">54.85 (32-68)</td>
<td valign="top" align="left">60 (36-74)</td>
<td valign="top" align="left">62 (12-146)</td>
<td valign="top" align="left">23 (85.2)</td>
<td valign="top" align="left">8.3</td>
</tr>
<tr>
<td valign="top" align="left">Prostate gland</td>
<td valign="top" align="left">24</td>
<td valign="top" align="left">14</td>
<td valign="top" align="left">57.2 (39-76)</td>
<td valign="top" align="left">64.95 (44-80)</td>
<td valign="top" align="left">102.9 (9-232)</td>
<td valign="top" align="left">3 (12.5)</td>
<td valign="top" align="left">16.5</td>
</tr>
<tr>
<td valign="top" align="left">PTLD</td>
<td valign="top" align="left">18</td>
<td valign="top" align="left">10.55</td>
<td valign="top" align="left">42.2 (18-60)</td>
<td valign="top" align="left">50.4 (18-60)</td>
<td valign="top" align="left">86.3 (6 -204)</td>
<td valign="top" align="left">11 (61.1)</td>
<td valign="top" align="left">8.5</td>
</tr>
<tr>
<td valign="top" align="left">Colon</td>
<td valign="top" align="left">14</td>
<td valign="top" align="left">8.2</td>
<td valign="top" align="left">48.5 (37-67)</td>
<td valign="top" align="left">58.6 (34-76)</td>
<td valign="top" align="left">121.4 (13-263)</td>
<td valign="top" align="left">2 (14.3)</td>
<td valign="top" align="left">157</td>
</tr>
<tr>
<td valign="top" align="left">Head/neck<sup>a</sup>
</td>
<td valign="top" align="left">12</td>
<td valign="top" align="left">7.1</td>
<td valign="top" align="left">54.25 (41-68)</td>
<td valign="top" align="left">61.9 (46-74)</td>
<td valign="top" align="left">93.7 (5-204)</td>
<td valign="top" align="left">3 (25)</td>
<td valign="top" align="left">9.4</td>
</tr>
<tr>
<td valign="top" align="left">Others <sup>b</sup>
</td>
<td valign="top" align="left">9</td>
<td valign="top" align="left">5.3</td>
<td valign="top" align="left">49.7 (30-62)</td>
<td valign="top" align="left">55.1 (37-63)</td>
<td valign="top" align="left">68.2 (11-128)</td>
<td valign="top" align="left">4 (44.5)</td>
<td valign="top" align="left">10.5</td>
</tr>
<tr>
<td valign="top" align="left">Bladder</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">4.1</td>
<td valign="top" align="left">56.6 (45-60)</td>
<td valign="top" align="left">65.2 (48-79)</td>
<td valign="top" align="left">99.15 (26-252)</td>
<td valign="top" align="left">5 (71.4)</td>
<td valign="top" align="left">11</td>
</tr>
<tr>
<td valign="top" align="left">Pancreas</td>
<td valign="top" align="left">7</td>
<td valign="top" align="left">4.1</td>
<td valign="top" align="left">59.85 (51-75)</td>
<td valign="top" align="left">66.85 (56-79)</td>
<td valign="top" align="left">82.3 (50-126)</td>
<td valign="top" align="left">6 (85.7)</td>
<td valign="top" align="left">17</td>
</tr>
<tr>
<td valign="top" align="left">Hematological</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">2.9</td>
<td valign="top" align="left">53 (31-64)</td>
<td valign="top" align="left">59 (40-67)</td>
<td valign="top" align="left">49.2 (7-115)</td>
<td valign="top" align="left">1 (25)</td>
<td valign="top" align="left">4</td>
</tr>
<tr>
<td valign="top" align="left">Melanoma</td>
<td valign="top" align="left">5</td>
<td valign="top" align="left">2.9</td>
<td valign="top" align="left">56 (53-64)</td>
<td valign="top" align="left">62.2 (54-67)</td>
<td valign="top" align="left">61.5 (18-120)</td>
<td valign="top" align="left">1 (20)</td>
<td valign="top" align="left">33</td>
</tr>
<tr>
<td valign="top" align="left">Transplant kidney</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">2.3</td>
<td valign="top" align="left">40,75 (21-50)</td>
<td valign="top" align="left">52.5 (43-64)</td>
<td valign="top" align="left">141.75 (26-276)</td>
<td valign="top" align="left">0 (0)</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">HCC</td>
<td valign="top" align="left">4</td>
<td valign="top" align="left">2.3</td>
<td valign="top" align="left">37.5 (20-46)</td>
<td valign="top" align="left">51.75 (39-58)</td>
<td valign="top" align="left">167.75 (90-224)</td>
<td valign="top" align="left">2 (50)</td>
<td valign="top" align="left">1.5</td>
</tr>
<tr>
<td valign="top" align="left">Testis</td>
<td valign="top" align="left">3</td>
<td valign="top" align="left">1.75</td>
<td valign="top" align="left">40 (22-54)</td>
<td valign="top" align="left">44.3 (24-62)</td>
<td valign="top" align="left">56.7 (35-100)</td>
<td valign="top" align="left">1 (33.33)</td>
<td valign="top" align="left">125</td>
</tr>
<tr>
<td valign="top" align="left">Bile ducts</td>
<td valign="top" align="left">2</td>
<td valign="top" align="left">1.2</td>
<td valign="top" align="left">56 (45-67)</td>
<td valign="top" align="left">57 (57)</td>
<td valign="top" align="left">83 (83)</td>
<td valign="top" align="left">2 (100)</td>
<td valign="top" align="left">4.5</td>
</tr>
<tr>
<td valign="top" align="left">Stomach</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.6</td>
<td valign="top" align="left">61 (61)</td>
<td valign="top" align="left">66 (66)</td>
<td valign="top" align="left">76 (76)</td>
<td valign="top" align="left">1 (100)</td>
<td valign="top" align="left">&lt;1</td>
</tr>
<tr>
<td valign="top" align="left">CNS</td>
<td valign="top" align="left">1</td>
<td valign="top" align="left">0.6</td>
<td valign="top" align="left">57 (57)</td>
<td valign="top" align="left">59 (59)</td>
<td valign="top" align="left">26 (26)</td>
<td valign="top" align="left">1 (100)</td>
<td valign="top" align="left">2</td>
</tr>
<tr>
<td valign="top" align="left">Total:</td>
<td valign="top" align="left">171</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CNS, Central nervous system; HCC, hepatocellular carcinoma; M, males; Mo, months; PTLD, post-transplant lymphoproliferative disorder; y, years; <sup>a</sup> Head/neck (nasopharynx, larynx, tongue, salivary gland, thyroid gland); <sup>b</sup> Others (eye, sarcoma, adrenal gland, small intestine).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s3_5">
<title>The relationship between immunosuppressive protocol and cancers</title>
<p>Pre-transplantation usage of IS was not associated with earlier development of cancer.</p>
<p>In our study group, an analysis of the relationship between the IS used (the three most common regimens) and the time to cancer development was performed.</p>
<p>It revealed that the IS regimen was associated with a significant difference in cancer-free survival probability at 3, 5, and 10 years post-KTx follow-up, but not at a short 1-year follow-up (all p &gt; 0.05) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). Specifically, patients treated with TAC+MMF+GS had a significantly higher probability to be diagnosed with cancer when compared to other regimens at 3, 5, 10 years post-KTx follow-up, while patients treated with CsA+MMF+GC had higher probability when compared with those treated with CsA+AZA+GC only at 10-year follow-up (p = 0.01).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The recipient&#x2019;s survival from kidney transplantation to cancer diagnosis depending on immunosuppressive protocol. Groups were compared using of log(-log) transformed Kaplan-Meier curves at pre-specified follow-up points (1, 3, 5, 10 years after KTx). AZA, azathiopryne; CsA, cyclosporine A; GS, glucocorticosteroids; MMF, mycophenolate mofetil or mycophenolate sodium; TAC, tacrolimus.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1497691-g002.tif"/>
</fig>
<p>Moreover, CNIs (TAC versus CsA) and antiproliferative drugs (MMF versus AZA) were compared, and the unfavorable effect of TAC and MMF on the development of cancer was also confirmed (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Time to develop cancer depending on the choice of calcineurin inhibitor <bold>(A)</bold> and antiproliferative drugs <bold>(B)</bold>. Groups were compared using of log(-log) transformed Kaplan-Meier curves at pre-specified follow-up points (1, 3, 5, 10 years after KTx). AZA, azathiopryne; CsA, cyclosporine A; MMF, mycophenolate mofetil or mycophenolate sodium; TAC, tacrolimus.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1497691-g003.tif"/>
</fig>
<p>Additionally, patients undergoing induction developed cancer earlier compared to patients not undergoing such treatment (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Relationship between induction immunosuppressive therapy and cancer-free survival probability after kidney transplantation. Patients undergoing induction developed cancer earlier compared to patients not undergoing such treatment (log rank test, p &lt; 0.001). p-values &#x200b;&#x200b;for the following points: 1 year: p = 0.009, 3 years: p = 0.02, 5 years: p &lt; 0.001, 10 years: p = 0.001. Groups were compared using of log(-log) transformed Kaplan-Meier curves. KTx, kidney transplantation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1497691-g004.tif"/>
</fig>
<p>This is also confirmed by multivariable analysis, that patients who received induction (p = 0.02), MMF vs AZA (p= 0.02), or tacrolimus vs CsA (p&lt;0.005) developed cancer earlier after transplantation (<xref ref-type="table" rid="T6">
<bold>Table&#xa0;6</bold>
</xref>). Moreover, the earliest cancers developed in the TAC+MMF+GC group at a median of 47 mo/3.9y) (95% Cl: 35-50), and the latest in CsA+AZA+GC group at a median of 115 mo/9.5y (95% Cl: 93-136).</p>
<table-wrap id="T6" position="float">
<label>Table&#xa0;6</label>
<caption>
<p>Multivariate analysis, time from KTx to cancer.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">Variable</th>
<th valign="top" colspan="2" align="center">Univariate models</th>
<th valign="top" colspan="2" align="center">Multivariable model<sup>a</sup>
</th>
</tr>
<tr>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>p</italic>
</th>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="5" align="left">Antiproliferative drug</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Azathioprine</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MMF</td>
<td valign="top" align="left">2.55 (1.71-3.81)</td>
<td valign="top" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="top" align="left">1.72 (1.07-2.76)</td>
<td valign="top" align="left">
<bold>0.02</bold>
</td>
</tr>
<tr>
<th valign="top" colspan="5" align="left">CNI</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CsA</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Tacrolimus</td>
<td valign="top" align="left">2.60 (1.84-3.67)</td>
<td valign="top" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="top" align="left">1.91 (1.32-2.77)</td>
<td valign="top" align="left">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">Induction therapy</td>
<td valign="top" align="left">2.24 (1.47-3.41)</td>
<td valign="top" align="left">
<bold>&lt;0.001</bold>
</td>
<td valign="top" align="left">1.74 (1.11-2.72)</td>
<td valign="top" align="left">
<bold>0.02</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>a: adjusted additionally for age and square of the difference between participant age and mean age in study group</p>
</fn>
<fn>
<p>AZA, azathiopryne; CsA, cyclosporine A; MMF, mycophenolate mofetil or mycophenolate sodium; TAC, tacrolimus.</p>
<p>Bold values provided means statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Multivariate analysis (log-rank test) confirmed a statistically significant relationship between the groups with different IS regimens and the risk of cancer development [(AZA, CsA, P), (MMF, CsA, P) and (MMF, TAC, P) (p &lt; 0.001)]. The posthoc analysis showed differences as follows: (AZA,CSA, P) vs (MMF, CSA, P) p &lt; 0.001; (AZA, CSA, P) vs (MMF, TAC, P) p &lt; 0.001; (MMF, CSA, P) vs (MMF, TAC, P) p = 0.003.</p>
</sec>
<sec id="s3_6">
<title>Patient&#x2019;s survival</title>
<p>In the analyzed group of 246 KTR, nearly half (48.8%) of patients died due to progression of cancer disease. The mean age of the recipient at the time of death due to cancer was 59.5 years (range 22&#x2013;80 years). The mean time from cancer diagnosis to death in females was 18.53 mo/1.5y, in males 14.87 mo/1.23y.</p>
<p>Interestingly, death over 6 months from cancer diagnosis occurred in nearly half of the patients 50.42% (55.31% F vs 47.3% M), which suggests a significant advancement of cancer at the time of diagnosis. <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> presents survival from cancer diagnosis and survival since KTx.</p>
<p>We compared patients who died in the course of cancer (regardless of the type of cancer) and those who were cured, the latter differed from the former in terms of baseline nephropathy (p=0.024) and induction treatment, (p=0.04), significantly.</p>
<p>18 patients (7.4%) died for other than cancer reasons, it is worth mentioning that nearly 40% died due to COVID-19 infection. Eighty (32.7%) survived the follow-up of the study. 27 (11.1%) recipients started renal replacement therapy (RRT).</p>
</sec>
<sec id="s3_7">
<title>Graft survival</title>
<p>Additionally, we assessed graft survival using Kaplan-Meier curves. In a subgroup analysis of patients who were diagnosed with malignancy while the kidney alllograft was still functioning (patients who had already initiated hemodialysis prior to diagnosis or whom the timing of haemodialysis initiation was unclear were excluded from analysis), neither overall nor death-censored graft survival differ between sexes (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5</bold>
</xref>, <xref ref-type="fig" rid="f6">
<bold>6</bold>
</xref>). The differences between the overall and death-censored graft survival curves were striking, clearly indicating that the primary cause of graft loss in this subgroup was patient death rather than renal allograft failure. Most patients died with a functioning graft, underscoring the impact of mortality - rather than graft dysfunction - on overall graft outcomes in this population.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>The overall graft survival. Groups were compared using of log(-log) transformed Kaplan-Meier curves.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1497691-g005.tif"/>
</fig>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Death-censored graft survival. Groups were compared using of log(-log) transformed Kaplan-Meier curves.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1497691-g006.tif"/>
</fig>
</sec>
<sec id="s3_8">
<title>The relationship between immunosuppressive protocol and patient&#x2019;s survival</title>
<p>In statistical analysis, we did not show that the group of recipients treated with IS before Tx had poorer survival after KTx as compare to the rest of the studied patients (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7</bold>
</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Survival analysis of kidney recipients depending on the use of immunosuppression before transplantation. Groups were compared using of log(-log) transformed Kaplan-Meier curves. IS, immunosupressive; KTx, kidney transplantation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-15-1497691-g007.tif"/>
</fig>
<p>In both univariable and multivariable analyses (adjusted for sex and age), we found that induction therapy was associated with an increased risk of death only in patients with lung cancer or PTLD (<xref ref-type="table" rid="T7">
<bold>Table&#xa0;7</bold>
</xref>). In contrast to the risk of cancer development, we did not observe significant differences in the risk of death between patients treated with TAC versus CsA or patients treated with MMF versus AZA.</p>
<table-wrap id="T7" position="float">
<label>Table&#xa0;7</label>
<caption>
<p>Univariable and multivariable analyses immunosuppressive and survival.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="3" align="center">Variable</th>
<th valign="top" colspan="8" align="center">All-cause mortality (univariable analyses)</th>
</tr>
<tr>
<th valign="top" colspan="2" align="center">Lung cancer</th>
<th valign="top" colspan="2" align="center">Native kidney cancer</th>
<th valign="top" colspan="2" align="center">Colon cancer</th>
<th valign="top" colspan="2" align="center">PTLD</th>
</tr>
<tr>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>p</italic>
</th>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>p</italic>
</th>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>p</italic>
</th>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>P</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="9" align="left">Antiproliferative drug</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Azathioprine</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MMF</td>
<td valign="top" align="left">0.54<break/>(0.19-1.52)</td>
<td valign="top" align="left">0.24</td>
<td valign="top" align="left">-<sup>c</sup>
</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">0.42<break/>(0.07-2.58)</td>
<td valign="top" align="left">0.35</td>
<td valign="top" align="left">0.49<break/>(0.15-1.62)</td>
<td valign="top" align="left">0.24</td>
</tr>
<tr>
<th valign="top" colspan="9" align="left">CNI</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CsA</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Tacrolimus</td>
<td valign="top" align="left">1.24<break/>(0.53-2.88)</td>
<td valign="top" align="left">0.62</td>
<td valign="top" align="left">1.18<break/>(0.19-7.16)</td>
<td valign="top" align="left">0.86</td>
<td valign="top" align="left">0.62<break/>(0.12-3.21)</td>
<td valign="top" align="left">0.57</td>
<td valign="top" align="left">0.92<break/>(0.28-3.08)</td>
<td valign="top" align="left">0.89</td>
</tr>
<tr>
<td valign="top" align="left">Induction<break/>therapy</td>
<td valign="top" align="left">4.88<break/>(1.81-13.16)</td>
<td valign="top" align="left">
<bold>0.002</bold>
</td>
<td valign="top" align="left">0.30<break/>(0.04-2.34)</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">-<sup>c</sup>
</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">7.22<break/>(1.98-26.36)</td>
<td valign="top" align="left">
<bold>0.003</bold>
</td>
</tr>
</tbody>
</table>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="3" align="center">Variable</th>
<th valign="top" colspan="8" align="center">All-cause mortality (adjusted for age and sex)</th>
</tr>
<tr>
<th valign="top" colspan="2" align="center">Lung cancer</th>
<th valign="top" colspan="2" align="center">Native kidney cancer</th>
<th valign="top" colspan="2" align="center">Colon cancer</th>
<th valign="top" colspan="2" align="center">PTLD</th>
</tr>
<tr>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>p</italic>
</th>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>p</italic>
</th>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>p</italic>
</th>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>p</italic>
</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="9" align="left">Antiproliferative drug</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Azathioprine</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MMF</td>
<td valign="top" align="left">0.52<break/>(0.18-1.53)<sup>a</sup>
</td>
<td valign="top" align="left">0.24</td>
<td valign="top" align="left">-<sup>c</sup>
</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">-<sup>c</sup>
</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">0.26<break/>(0.06-1.10)</td>
<td valign="top" align="left">0.07</td>
</tr>
<tr>
<th valign="top" colspan="9" align="left">CNI</th>
</tr>
<tr>
<td valign="top" align="left">&#x2003;CsA</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">Baseline</td>
<td valign="top" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Tacrolimus</td>
<td valign="top" align="left">1.18<break/>(0.49-2.81)<sup>b</sup>
</td>
<td valign="top" align="left">0.71</td>
<td valign="top" align="left">0.98<break/>(0.15-6.50)<sup>a</sup>
</td>
<td valign="top" align="left">0.99</td>
<td valign="top" align="left">0.25<break/>(0.02-2.60)<sup>b</sup>
</td>
<td valign="top" align="left">0.25</td>
<td valign="top" align="left">1.02<break/>(0.28-3.68)</td>
<td valign="top" align="left">0.98</td>
</tr>
<tr>
<td valign="top" align="left">Induction<break/>therapy</td>
<td valign="top" align="left">5.82<break/>(2.02-16.77)<sup>a</sup>
</td>
<td valign="top" align="left">
<bold>0.001</bold>
</td>
<td valign="top" align="left">0.23<break/>(0.03-1.92)<sup>a</sup>
</td>
<td valign="top" align="left">0.18</td>
<td valign="top" align="left">-<sup>c</sup>
</td>
<td valign="top" align="left">&#x2013;</td>
<td valign="top" align="left">6.71<break/>(1.69-26.63)</td>
<td valign="top" align="left">
<bold>0.007</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>a</sup>: adjusted for sex and age; <sup>b</sup>: adjusted for sex, age, and (age)2 to account for non-linearity; <sup>c</sup>: model cannot be reliably fitted (95% CI from 0 to infinity).</p>
<p>Bold values provided means statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Cancer, next to cardiovascular diseases (CV) and infections, is the main cause of death in patients after KTx (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). Data based on large databases indicate that the risk of cancer after KTx (except NMSC) is 2&#x2013;3 times higher than in the general population (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). The risk is even 5&#x2013;10 times higher, for cancers related to infection with oncogenic viruses such as PTLD and Kaposi&#x2019;s sarcoma (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>The incidence of cancers in the general population and KTRs is distributed differently (<xref ref-type="bibr" rid="B14">14</xref>). In our cohort, 7.6% of KTRs developed cancers and it was similar to the other studies (7.2%, 6%, 7.6%, 6% respectively) (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Some literature reports have shown that males suffer from post-KTx cancer more often than females (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Our results in the group of KTRs are in line with these observations since males constituted the majority of patients suffering from cancer.</p>
<p>In the general population of Poland, the most frequently diagnosed type of cancer in males remains lung cancer, prostate cancer, and colon cancer (18%, 18%, and 15% in the 2020 year, respectively) (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>), whereas kidney cancer is responsible for only 3.6% cancer cases (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Our results in KTRs revealed that the most common cancer in males was native kidney cancer (16.4%), whereas colorectal cancer was surprisingly less common (8.2%). In females, in the general population of Poland, the most frequently diagnosed cancers remain: breast cancer (25%), lung cancer (12%), and colorectal cancer (11%) in 2020 (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>), kidney cancer is responsible for only 2.6% cancer cases (<xref ref-type="bibr" rid="B17">17</xref>). In our cohort of female KTRs the most diagnosed cancer was also breast cancer (17.8%), colorectal cancer (14.5%), followed by PTLD and lung cancer (8.9%) and native kidney cancer (6.7%).</p>
<p>Hickman et&#xa0;al. observed that approximately 90% of renal cell carcinoma (RCC) is diagnosed in native kidneys in KTR (<xref ref-type="bibr" rid="B18">18</xref>). Our study, confirms that observation, therefore 87% of RCC were diagnosed in native kidneys, and only 13% in the transplanted kidneys. In the study by Gisco et&#xa0;al. (<xref ref-type="bibr" rid="B6">6</xref>), native kidney cancer was one of the most frequently diagnosed cancers after KTx. Moreover, Hickman et&#xa0;al. demonstrated even 7 times higher cases of native kidney cancer in KTRs as compared to the general population (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<p>The risk of RCC development and urinary tract cancer is not only higher among patients with ESRD, but also it increases with the duration of dialysis and after KTx (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>An association of dialysis vintage and risk of urinary tract cancers (kidney, urothelial, and bladder) after Tx has also been found by Wong et&#xa0;al. in the ANZDATA registry (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B20">20</xref>). After KTx, the risk factors for kidney or urinary tract cancer increase due to aforementioned factors and also BKV infections (<xref ref-type="bibr" rid="B21">21</xref>). Additionally, in retransplants compared to primary kidney transplants in the study in United States, among all malignancies only RCC was found at a higher incidence (<xref ref-type="bibr" rid="B22">22</xref>). Retransplanted recipients had two-fold higher incidence of RCC than primary recipients.</p>
<p>The pathogenesis of RCC in CKD is not fully understood, it is suggested that is associated with renal fibrosis and tubular atrophy, chronic inflammation associated with uremia, oxidative stress, impaired immune function, the dialysis process, medications and comorbidities (<xref ref-type="bibr" rid="B7">7</xref>). Increased prevalence of RCC could be also explained by its association witch acquired cystic kidney disease (ACKD), which is a risk factor for RCC (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B23">23</xref>). ACKD is highly prevalent in patients with CKD. In ACKD, cysts originate in dilated renal tubules, and increase in number over time, even before the need for RRT (<xref ref-type="bibr" rid="B19">19</xref>). After initiation of dialysis, the prevalence of cysts continues to increase, with the majority of patients having cysts after 10 years of dialysis, suggesting that the duration of CKD or dialysis is the main risk for development of renal cysts (<xref ref-type="bibr" rid="B24">24</xref>). RCCs can arise within complex cysts present in ACKD (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Prolonged dialysis and development of ACKD may partly explain high risk of RCC in transplant recipients and also those retransplanted.</p>
<p>KDIGO Clinical Practice Guideline on the Evaluation and Management of Candidates for Kidney Transplantation 2020, underline these facts recommending screen with ultrasonography among kidney transplant candidates particularly those possessing following risk factors: &#x2265; 3 years dialysis, family history of renal cancer, ACKD or analgesic nephropathy and long term smoking. They suggest also urine cytology and cystoscopy to screen for bladder carcinoma in candidates at increased risk (high-level exposure to cyclofosfamide or heavy smoking (30 pack-years) (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>The histopathological pattern of RCC is different in KTRs (mostly papillary, multifocal RCC) and the general population (renal clear cell carcinoma) (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>According to KDIGO, no increased rate of RCC was found among ADPKD patients (<xref ref-type="bibr" rid="B14">14</xref>). However, a study of removed kidneys from ADPKD showed as high as 5-8% cases of RCC. This observation raises concerns about the malignant potential in ADPKD kidneys.</p>
<p>In our study population, ADPKD was a cause of ESRD in 13.82% of patients. However, only one of them developed kidney cancer in a polycystic kidney.</p>
<p>Kidney cancer can be treated radically and the prognosis is good, in both the general and in the KTRs population (<xref ref-type="bibr" rid="B29">29</xref>). In our study, among patients with native kidney RCC, 82.4% are still alive. The majority of kidney cancers were detected accidentally during routine ultrasound examinations, therefore in KTRs ultrasound of the abdomen is recommended in RCC screening (<xref ref-type="bibr" rid="B30">30</xref>).</p>
<p>The peak incidence of cancer occurs 3&#x2013;5 years after Tx (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>). In our group of recipients, most cancers occurred in the intervals 1&#x2013;5 years (33.6%) and 5&#x2013;10 years (34.42%) after KTx.</p>
<p>The risk of cancer development after KTx is influenced by pre-transplantation risk factors same as in the general population, and risk factors related to the transplantation itself such as posttransplant IS treatment. It should be mentioned, that some patients receiving KTx are already under IS treatment used in the pre-transplantation period, either due to the treatment of disease-causing ESRD or because they were already a recipient of another transplanted organ, which again increases the risk of complications of IS treatment.</p>
<p>In our study, 14.6% of patients receiving IS before KTx developed <italic>de novo</italic> cancers after KTx, but it was not associated with earlier development of cancer and did not contribute to poorer survival after KTx.</p>
<p>That&#x2019;s well known, that IS drugs impair T-cell function, immune surveillance and immune control (<xref ref-type="bibr" rid="B11">11</xref>). TAC increases the level of TGF-B, which promotes cancer development. CsA also has a direct effect on tumor development and progression through the expression of TGF-&#x3b2; or IL-6 (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B29">29</xref>). According to the literature, TAC increases the risk of lymphoma twice as much as CsA (<xref ref-type="bibr" rid="B13">13</xref>). Among older drugs, AZA increases the risk of lymphoma and NMSC (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>Data from the literature suggest that less intense IS significantly reduces the risk of cancer, although increases the risk of rejection (<xref ref-type="bibr" rid="B32">32</xref>).</p>
<p>We showed that the use of induction and the IS regimen with TAC and MMF predisposed significantly to the earlier development of cancer, which is in line with the literature.</p>
<p>The risk of developing cancer after KTx is additionally increased in infection with oncogenic viruses promoted by IS (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B32">32</xref>). For example, the HHV-8 virus increases the risk of developing Kaposi&#x2019;s sarcoma 20 times (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B10">10</xref>), and the human papillomavirus (HPV) increases the risk of cervical cancer 5&#x2013;10 times (<xref ref-type="bibr" rid="B7">7</xref>), additionally, HPV is a risk factor for anus, penis, and vagina, oropharyngeal cancers (<xref ref-type="bibr" rid="B32">32</xref>) and may also cause genital warts in the urinary bladder with a high malignant potential in immunocompromised patients (<xref ref-type="bibr" rid="B21">21</xref>). In our study of cancers there were no data regarding the viral status thus, the coincidence with mentioned viral infection could not have been analyzed.</p>
<p>The cases of PTLD is also increased in the case of Epstein -Barr virus (EBV) infection (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B33">33</xref>), while the BKV increases the risk of urinary tract cancer, hepatitis C, B virus increases the risk of liver cancer (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>According to literature data, the EBV is the cause of approximately 60-90% cases of PTLD (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B33">33</xref>). The use of polyclonal antibodies was associated with consistently higher risk of lymphoma (<xref ref-type="bibr" rid="B13">13</xref>). Due to the non-specific symptoms of PTLD, the disease is often diagnosed late (over two years after Tx) (<xref ref-type="bibr" rid="B33">33</xref>). The average time from diagnosis of PTLD to death is 6 months according to literature data (<xref ref-type="bibr" rid="B34">34</xref>). The incidence of PTLD was associated with administration of the induction therapy and the prognosis of these patients was unfavorable. In our study, PTLD was the fourth most common cancer after KTx. In both univariable and multivariable analyses, we found that induction therapy was associated with an increased risk of death in patients suffering from PTLD.</p>
<p>After developing cancer, the risk of death among KTRs increases (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B16">16</xref>). Taborelli et&#xa0;al., compared KTRs with and without cancer. The 5-year survival rate among KTRs with cancer (without NMSC) was 63%, and the 5-year survival rate among KTRs without cancer was 89% (<xref ref-type="bibr" rid="B16">16</xref>). In another study, 46.2% of KTRs died due to cancer, and our study also showed a similar (48.8%) percentage of deaths (<xref ref-type="bibr" rid="B6">6</xref>). In a South Korean study, Jeong et&#xa0;all, showed that mortality associated with cancer after transplant was 14.9% (<xref ref-type="bibr" rid="B12">12</xref>). The difference may be because Jeong, unlike us, includes skin cancer, which has a very good prognosis. In our study death over 6 months from cancer diagnosis occurred in nearly half of the patients which suggests a significant advancement of cancer at the time of diagnosis. We compared patients who died in the course of cancer (regardless of the type of cancer) and those who were cured, the latter differed significantly from the former in terms of baseline nephropathy and induction treatment. In both univariable and multivariable analyses, we found that induction therapy was associated with an increased risk of death only in patients with lung cancer or PTLD. In contrast to the risk of cancer development, we did not observe significant differences in the risk of death between patients treated with TAC versus CsA or patients treated with MMF versus AZA.</p>
<p>In the Benoni study, patients with cancer after solid organ transplantation were compared with patients with cancer without transplantation (<xref ref-type="bibr" rid="B35">35</xref>). There was a 35% higher death rate among solid organ recipients. A higher mortality rate was observed among patients with lymphoma, melanoma, urothelial cancer, breast, head and neck, and colorectal cancer. There was a similar percentage of deaths between both groups among patients with prostate, lung, and kidney cancer.</p>
<p>According to KDIGO in recipients diagnosed with cancer before KTx, the risk of death due to cancer is three times higher than among recipients without a history of cancer (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>In another study, Dahle et&#xa0;al. (<xref ref-type="bibr" rid="B36">36</xref>) compared KTRs with a history of cancer before transplantation (6.4%) with recipients without a history of cancer. Follow-up lasted 6.8 years, 13.7 died due to cancer recurrence, and 10.5% died due to <italic>de novo</italic> cancer. Regardless of whether the recipient suffered from cancer before or after KTx, when they suffered from cancer, they had similar overall survival (<xref ref-type="bibr" rid="B36">36</xref>). The greatest number of people cured were in the group of recipients who suffered from RCC, PTLD, prostate cancer, and colon cancer.</p>
<p>The 5.8% of KTRs in our cohort suffered from cancer before transplantation, in three cases recurrence of the disease was observed. All three recurrences were breast cancer, mean time from transplantation to recurrence was 70 mo/5.8y (range 10-118), two patients died.</p>
<p>Although the exact number of donor- transmitted malignancies is not known, based on the available registries and published data, the risk is approximately 0.05% (<xref ref-type="bibr" rid="B37">37</xref>). United Kingdom Transplant registry from 10-year period described the risk of transmission as 0.06% (these included 14&#x2013;986 donors) (<xref ref-type="bibr" rid="B38">38</xref>). Spanish registry (<xref ref-type="bibr" rid="B39">39</xref>), based on a data from 1990 to 2006 year assessed the risk of transmission of malignancy to the recipients as 0.06%. Italian registry documented that the risk of transmission was 0.03% (<xref ref-type="bibr" rid="B40">40</xref>). Although the risk of transmission is rare but it has serious consequences (<xref ref-type="bibr" rid="B41">41</xref>). To ascertain the origin of the neoplasm, immunohistochemistry and molecular analysis can be employed (fluorescence <italic>in situ</italic> hybridization, microsatellite allelic analysis, and comparative genomic hybridization (<xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>The presented study has some limitation: 1) the studied group of recipients is medium-sized, 2) in 3.65% of patients, who started RRT or were transferred to another center, we do not know what happened afterwards and 3) statistical analysis regarding death from any cause vs. alive is subject to the risk of systematic error (bias) because there are no people without cancer in the database. 4) Dosages and IS drug levels were not included because most of these data are limited.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusions and recommendation on the base of literature confirmed additionally by our study</title>
<p>The presented study shows a different distribution of cancer cases in patients after KTx as compare to the general population.</p>
<p>Patients after KTx require regular screening for neoplastic diseases, with particular emphasis on neoplastic diseases of the urinary system. Our findings support the need for RCC screening in all transplant candidates and recipients. This procedure should be obligatory in all candidates before including on waiting list and individualized after KTx. Recommending an annual inspection by ultrasound particularly in patients with suspicious lesions such as ACKD seems reasonable. All those possessing other pretransplant conditions mentioned in KDIGO guidelines should also be checked on individual way.</p>
</sec>
</body>
<back>
<sec id="s6" 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 author/s.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Ethics committee Medical University of Gdansk, Poland. 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="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>KK: Conceptualization, Data curation, Project administration, Methodology, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. AD: Conceptualization, Project administration, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing, Supervision. AK: Conceptualization, Data curation. Writing &#x2013; original draft. ZH: Project administration, Methodology, Writing &#x2013; review &amp; editing. JR: Formal Analysis, Writing- original draft. KC: Data curation, Writing &#x2013; original draft. BI: Data curation, Writing &#x2013; original draft. BBi: Data curation, Writing &#x2013; original draft. BB-P: Data curation, Writing &#x2013; original draft. BBz: Data curation, Writing &#x2013; original draft. AC: Data curation, Writing &#x2013; original draft. JG: Data curation, Writing &#x2013; original draft. JK: Data curation, Writing &#x2013; original draft. EK: Data curation, Writing &#x2013; original draft. ML: Data curation, Writing &#x2013; original draft. PR: Data curation, Writing &#x2013; original draft. AT: Data curation. Writing &#x2013; original draft. AW: Conceptualization, Data curation, Writing &#x2013; original draft. SL: Conceptualization, Data curation, Methodology, Writing &#x2013; original draft.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research and/or publication of this article.</p>
</sec>
<sec id="s10" 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="s11" 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>
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