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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2022.847710</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>Epidemiological Characteristics and the Development of Prognostic Nomograms of Patients With HIV-Associated Cutaneous T-Cell Lymphoma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Yang</surname>
<given-names>Zheng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1619203"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Gong</surname>
<given-names>Daoqing</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Fei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Sun</surname>
<given-names>Yi</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/333050"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Hu</surname>
<given-names>Qinming</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Infectious Disease, Jingzhou Hospital, Yangtze University</institution>, <addr-line>Jingzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Teaching Office, Jingzhou Hospital, Yangtze University</institution>, <addr-line>Jingzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Dermatology, Jingzhou Hosiptal, Yangtze University</institution>, <addr-line>Jingzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Jianjun Qiao, Zhejiang University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Alessandro Pileri, Universit&#xe0; di Bologna, Italy; Han Ma, The Fifth Affiliated Hospital of Sun Yat-sen University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Yi Sun, <email xlink:href="mailto:jzzxyysy@163.com">jzzxyysy@163.com</email>; Qinming Hu, <email xlink:href="mailto:huqinming_1964@163.com">huqinming_1964@163.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Skin Cancer, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>15</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>847710</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Yang, Gong, Huang, Sun and Hu</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Yang, Gong, Huang, Sun and Hu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>The incidence of human immunodeficiency virus (HIV) associated cutaneous T-Cell lymphoma (HIV-associated CTCL) is very low, and there is a lack of relevant epidemiological and clinical prognostic studies. Therefore, we aimed to study the epidemiological characteristics of HIV-associated CTCL and to construct and validate a nomogram predicting patient survival.</p>
</sec>
<sec>
<title>Methods</title>
<p>Demographic, clinical characteristics, and incidence data from the Surveillance, Epidemiology and End Results (SEER) database were screened for patients with HIV-associated CTCL. Independent prognostic factors in patients with HIV-associated CTCL were analyzed to establish nomograms of overall survival (OS) and disease-specific survival (DSS) rates of patients. The performance of the prediction model was validated by the consistency index (C-index), the area under the receiver operating characteristic curve (AUC), and calibration plots.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 883 eligible patients were screened for inclusion in this study and randomized to the training cohort (70%, n = 619) and the validation cohort (30%, n = 264). The age-adjusted average incidence rate per 100,000 persons per year for HIV-associated CTCL was 0.071 for the period 2004-2017, with an increasing incidence rate. The median age of the included patients was 59 years, of which male Caucasian held a majority. 99.5% of the patients had a tumor tissue subtype of mycosis fungoides, while the other tumor subtypes were s&#xe9;zary syndrome. The median OS for patients with HIV-associated CTCL was 162 months, and the OS rates at 1, 3, 5, and 10 years were 0.964, 0.904, 0.835, and 0.766, respectively. Univariate and multivariate COX regression analysis were performed, and prognostic indicators such as &#x201c;Age&#x201d;, &#x201c;Radiation&#x201d;, &#x201c;Chemotherapy&#x201d;, &#x201c;Summary stage&#x201d;, &#x201c;Sequence number&#x201d; were ultimately incorporated and used to establish nomograms of OS and DSS rates at 1, 3, 5 and 10 years for the training cohort. The C-index, AUC, and calibration plot confirmed that our prediction model had good accuracy.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>While HIV-associated CTCL is very rare, its incidence has been on the rise in the last decade or so. We described the epidemiological characteristics and prognostic factors in patients with HIV-associated CTCL.</p>
</sec>
</abstract>
<kwd-group>
<kwd>HIV</kwd>
<kwd>CTCL</kwd>
<kwd>HIV-associated CTCL</kwd>
<kwd>SEER</kwd>
<kwd>nomogram</kwd>
<kwd>prognosis</kwd>
</kwd-group>
<counts>
<fig-count count="9"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="44"/>
<page-count count="15"/>
<word-count count="6468"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>People infected with human immunodeficiency virus (HIV) are at a higher risk of developing cancers such as non-Hodgkin&#x2019;s lymphoma (NHL), Kaposi&#x2019;s sarcoma, and cervical cancer due to immunosuppression compared to the general population, with a 77-fold increased risk of NHL (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Although antiretroviral therapy (ART) has reduced mortality among people living with HIV, cancer remains a significant cause of death. The attributable mortality rate of HIV-associated cancers was 386.9 per 100,000 population per year, with NHL causing 3.5% of deaths (<xref ref-type="bibr" rid="B3">3</xref>). Among patients with HIV-associated NHL, the three major subtypes, namely, Burkitt lymphoma, diffuse large B-cell lymphoma, and central nervous system lymphoma, exhibit a particularly high risk (<xref ref-type="bibr" rid="B4">4</xref>). The incidence of cutaneous T cell lymphoma (CTCL) is 10.2 cases per million people (<xref ref-type="bibr" rid="B5">5</xref>), which accounts for 3.4% of all NHL (<xref ref-type="bibr" rid="B6">6</xref>). There are very few studies on CTCL in HIV-infected patients.</p>
<p>CTCL is a clinically and biologically heterogeneous group of extranodal NHL characterized by skin involvement, with mycosis fungoides (MF) and s&#xe9;zary syndrome (SS) being the most common tumor subtypes. In the early stage of the onset, patients usually present with discrete skin lesions resembling eczema or extensive erythema. Patients with advanced disease may have fungating tumors or leukemia, eventually involving the lymph nodes and viscera (<xref ref-type="bibr" rid="B7">7</xref>). Since the early manifestations of MF/SS are similar to a benign, inflammatory or autoimmune skin disease, it is not easy to detect characteristic histologic changes even after multiple pathologic biopsies. Therefore, the diagnosis of MF/SS requires a comprehensive analysis combining clinical manifestations, pathological assessment and molecular studies of patients, which poses a great challenge to clinical diagnosis. So far, the epidemiological characteristics, clinical features, and long-term prognosis studies of CTCL in HIV-infected patients have rarely been reported. Previously, Wang et&#xa0;al. (<xref ref-type="bibr" rid="B8">8</xref>) showed that HIV-infected patients with CTCL had higher survival rates and lower overall risk of death compared with HIV-uninfected patients. However, the epidemiological characteristics of patients with HIV-associated CTCL and the prognostic factors associated with survival remain unclear.</p>
<p>Therefore, this study retrospectively analyzed the epidemiological features, demographic characteristics, and prognostic factors of HIV-associated CTCL based on patient data extracted from the Surveillance, Epidemiology and End Results (SEER) database, and established prognostic nomograms to guide clinicians to more accurately assess the patient&#x2019;s overall survival (OS) and disease-specific survival (DSS) rates.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Data Source and Patient Selection</title>
<p>We used SEER*Stat software (Version 8.3.9.1; National Cancer Institute, Surveillance Research Program) to extract data from patients diagnosed with HIV-associated CTCL from the SEER database [Nov 2020 Sub (2000-2018)] released in April 2021. The SEER database is currently one of the largest publicly available cancer datasets, providing patient data from 18 cancer registries, approximately 28% of all cancer cases in the United States included (<xref ref-type="bibr" rid="B9">9</xref>). Institutional ethics committee approval was not required for this study as all patient information was obtained from the online publicly available SEER database with patient anonymity. Patients who meet the following criteria will be included in the analysis: 1. Site recode ICD-0-3/WHO 2008 is lymphoma; 2. CS site-specific factor 1 (2004-2017 varying by schema) is 001 or 010; 3. Diagnosis of lymphoma confirmed by microscopy; 4. Complete tumor stage and diagnostic data; 5. Follow-up survival time &#x2265;1 month. Ultimately, 883 patients with HIV-associated CTCL were included for analysis in this study and randomly divided into two consecutive cohorts: 70% training cohort (n = 619) and 30% validation cohort (n = 264) (<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>Flowchart of the selection process of patients in the SEER database. SEER, Surveillance, Epidemiology, and End Results.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-847710-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<title>Variable Selection</title>
<p>Relevant variables of interest for all patients were extracted from the SEER database including year of diagnosis, race, marital status, gender, age, primary site, surgery, radiotherapy, chemotherapy, tumor stage, number of primary tumors, histologic subtype, survival time, vital status, cause of death, and outcome variables: OS and DSS. OS refers to the time from the diagnosis of HIV-associated CTCL to the death of the patient from any cause, DSS the time from the diagnosis of HIV-associated CTCL to the death of the patient due to the cause.</p>
</sec>
<sec id="s2_3">
<title>Statistical Analysis</title>
<p>The annual incidence of HIV-associated CTCL per 100,000 population was calculated by SEER*Stat software, adjusted for the age of the standard US population in 2000. To analyze trends in incidence rates, we also used the Joinpoint Regression Program 4.9.0.0 -March, 2021 software provided by National Cancer Institute (NCI) to calculate annual percentage change (APC).</p>
<p>The demographic characteristics, Cox regression analysis, Kaplan-Meier survival analysis, and the drawing of nomograms, ROC curves, and calibration plots in this study were all run using R software [R version 4.1.1 (2021-08-10); <uri xlink:href="http://www.r-project.org">http://www.r-project.org</uri>]. X-tile software (version 3.6.1) was used to classify patients into low, medium and high risk and to perform statistical analysis. All reported statistical significance tests were two-tailed, and P &lt; 0.05 was considered statistically significant. The main R packages applied in this study are foreign, caret, compareGroups, HardyWeinberg, survminer, survival, rms, survivalROC, etc. Included patients were randomized into 70% training cohort and 30% validation cohort based on the caret R package. Hardy Weinberg, compareGroups R package was used for demographic analysis, in which categorical variables were expressed as percentages (%). The survminer, survival R package was applied to Kaplan-Meier survival analysis. We used the survival, rms R package to plot nomograms and calibration curves, as well as to perform Cox regression; survivalROC was used to plot ROC curves.</p>
</sec>
</sec>
<sec id="s3">
<title>Results</title>
<sec id="s3_1">
<title>Demographic and Clinical Characteristics</title>
<p>Based on the inclusion criteria, this study finally obtained the data of 883 patients diagnosed from 2004 to 2017 from the SEER database, and then randomly divided them into two consecutive cohorts: the training cohort and the validation cohort (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). From <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>, we found no statistical differences in the aspect of demographic and clinical characteristics between two cohorts. In this study, 60% of patients were male and the majority were white (73.0%), followed by black (16.5%). The median age of patients was 59 years [95% confidence interval (CI), 49-69], with a minimum age of 4 years and a maximum age of 85 years, and 53.0% of patients were &lt;60 years old. The primary site of tumors in the included patients was all from the skin, which were HIV-associated CTCL. The tumor tissue subtypes of HIV-associated CTCL were mycosis fungoides (99.5%) and s&#xe9;zary syndrome (0.45%). According to the summary staging system, the patients with localized staging held the majority (79.0%), and the proportion of patients with regional, distant, and unknown/unstaged staging was 15.7%, 1.70%, and 3.51%, respectively. The main treatment options were surgery, radiotherapy, and chemotherapy, with 19.6% of patients undergoing surgery, 23.1% receiving chemotherapy, and 10.2% receiving radiotherapy. 23.7% of patients were found to have more than one primary tumor at follow-up (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Demographic and clinical characteristics of patients with HIV-associated CTCL.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristic</th>
<th valign="top" align="center">Total cohort</th>
<th valign="top" align="center">Training cohort </th>
<th valign="top" align="center">Validation cohort </th>
<th valign="top" align="center">
<italic>P</italic> value</th>
</tr>
<tr>
<th valign="top" align="left"> </th>
<th valign="top" align="center">(<italic>n=</italic>883)</th>
<th valign="top" align="center">(<italic>n</italic>=619)</th>
<th valign="top" align="center">(<italic>n</italic>=264)</th>
<th valign="top" align="center"> </th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Year of diagnosis</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.224</td>
</tr>
<tr>
<td valign="top" align="left"> 2004-2008</td>
<td valign="top" align="center">31 (3.51%)</td>
<td valign="top" align="center">26 (4.20%)</td>
<td valign="top" align="center">5 (1.89%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> 2009-2013</td>
<td valign="top" align="center">332 (37.6%)</td>
<td valign="top" align="center">233 (37.6%)</td>
<td valign="top" align="center">99 (37.5%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> 2014-2017</td>
<td valign="top" align="center">520 (58.9%)</td>
<td valign="top" align="center">360 (58.2%)</td>
<td valign="top" align="center">160 (60.6%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Sex</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.371</td>
</tr>
<tr>
<td valign="top" align="left"> Female</td>
<td valign="top" align="center">353 (40.0%)</td>
<td valign="top" align="center">241 (38.9%)</td>
<td valign="top" align="center">112 (42.4%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Male</td>
<td valign="top" align="center">530 (60.0%)</td>
<td valign="top" align="center">378 (61.1%)</td>
<td valign="top" align="center">152 (57.6%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Race</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.355</td>
</tr>
<tr>
<td valign="top" align="left"> White</td>
<td valign="top" align="center">645 (73.0%)</td>
<td valign="top" align="center">449 (72.5%)</td>
<td valign="top" align="center">196 (74.2%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Black</td>
<td valign="top" align="center">146 (16.5%)</td>
<td valign="top" align="center">101 (16.3%)</td>
<td valign="top" align="center">45 (17.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Asian or Pacific Islander</td>
<td valign="top" align="center">74 (8.38%)</td>
<td valign="top" align="center">58 (9.37%)</td>
<td valign="top" align="center">16 (6.06%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Other</td>
<td valign="top" align="center">18 (2.04%)</td>
<td valign="top" align="center">11 (1.78%)</td>
<td valign="top" align="center">7 (2.65%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.646</td>
</tr>
<tr>
<td valign="top" align="left"> &lt;60</td>
<td valign="top" align="center">468 (53.0%)</td>
<td valign="top" align="center">331 (53.5%)</td>
<td valign="top" align="center">137 (51.9%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> 60-69</td>
<td valign="top" align="center">211 (23.9%)</td>
<td valign="top" align="center">145 (23.4%)</td>
<td valign="top" align="center">66 (25.0%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> 70-79</td>
<td valign="top" align="center">135 (15.3%)</td>
<td valign="top" align="center">91 (14.7%)</td>
<td valign="top" align="center">44 (16.7%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> &#x2265;80</td>
<td valign="top" align="center">69 (7.81%)</td>
<td valign="top" align="center">52 (8.40%)</td>
<td valign="top" align="center">17 (6.44%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Marital status</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.969</td>
</tr>
<tr>
<td valign="top" align="left"> Married</td>
<td valign="top" align="center">437 (49.5%)</td>
<td valign="top" align="center">307 (49.6%)</td>
<td valign="top" align="center">130 (49.2%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Unmarried</td>
<td valign="top" align="center">296 (33.5%)</td>
<td valign="top" align="center">206 (33.3%)</td>
<td valign="top" align="center">90 (34.1%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Unknown</td>
<td valign="top" align="center">150 (17.0%)</td>
<td valign="top" align="center">106 (17.1%)</td>
<td valign="top" align="center">44 (16.7%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Primary Site</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.350</td>
</tr>
<tr>
<td valign="top" align="left"> Skin, NOS</td>
<td valign="top" align="center">507 (57.4%)</td>
<td valign="top" align="center">348 (56.2%)</td>
<td valign="top" align="center">159 (60.2%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Skin of the extremities</td>
<td valign="top" align="center">157 (17.8%)</td>
<td valign="top" align="center">117 (18.9%)</td>
<td valign="top" align="center">40 (15.2%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Skin of trunk</td>
<td valign="top" align="center">150 (17.0%)</td>
<td valign="top" align="center">106 (17.1%)</td>
<td valign="top" align="center">44 (16.7%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Skin of the head and face</td>
<td valign="top" align="center">36 (4.08%)</td>
<td valign="top" align="center">28 (4.52%)</td>
<td valign="top" align="center">8 (3.03%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Others</td>
<td valign="top" align="center">33 (3.74%)</td>
<td valign="top" align="center">20 (3.23%)</td>
<td valign="top" align="center">13 (4.92%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Surgery</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.607</td>
</tr>
<tr>
<td valign="top" align="left"> No</td>
<td valign="top" align="center">710 (80.4%)</td>
<td valign="top" align="center">501 (80.9%)</td>
<td valign="top" align="center">209 (79.2%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Yes</td>
<td valign="top" align="center">173 (19.6%)</td>
<td valign="top" align="center">118 (19.1%)</td>
<td valign="top" align="center">55 (20.8%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Radiation</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.408</td>
</tr>
<tr>
<td valign="top" align="left"> No/Unknown</td>
<td valign="top" align="center">793 (89.8%)</td>
<td valign="top" align="center">552 (89.2%)</td>
<td valign="top" align="center">241 (91.3%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Yes</td>
<td valign="top" align="center">90 (10.2%)</td>
<td valign="top" align="center">67 (10.8%)</td>
<td valign="top" align="center">23 (8.71%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Chemotherapy</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.258</td>
</tr>
<tr>
<td valign="top" align="left"> No/Unknown</td>
<td valign="top" align="center">679 (76.9%)</td>
<td valign="top" align="center">469 (75.8%)</td>
<td valign="top" align="center">210 (79.5%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Yes</td>
<td valign="top" align="center">204 (23.1%)</td>
<td valign="top" align="center">150 (24.2%)</td>
<td valign="top" align="center">54 (20.5%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Summary stage</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.575</td>
</tr>
<tr>
<td valign="top" align="left"> Localized</td>
<td valign="top" align="center">698 (79.0%)</td>
<td valign="top" align="center">489 (79.0%)</td>
<td valign="top" align="center">209 (79.2%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Regional</td>
<td valign="top" align="center">139 (15.7%)</td>
<td valign="top" align="center">96 (15.5%)</td>
<td valign="top" align="center">43 (16.3%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Distant</td>
<td valign="top" align="center">15 (1.70%)</td>
<td valign="top" align="center">13 (2.10%)</td>
<td valign="top" align="center">2 (0.76%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Unknown/unstaged</td>
<td valign="top" align="center">31 (3.51%)</td>
<td valign="top" align="center">21 (3.39%)</td>
<td valign="top" align="center">10 (3.79%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>T stage</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.695</td>
</tr>
<tr>
<td valign="top" align="left"> T1</td>
<td valign="top" align="center">503 (57.0%)</td>
<td valign="top" align="center">358 (57.8%)</td>
<td valign="top" align="center">145 (54.9%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> T2</td>
<td valign="top" align="center">214 (24.2%)</td>
<td valign="top" align="center">142 (22.9%)</td>
<td valign="top" align="center">72 (27.3%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> T3</td>
<td valign="top" align="center">79 (8.95%)</td>
<td valign="top" align="center">55 (8.89%)</td>
<td valign="top" align="center">24 (9.09%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> T4</td>
<td valign="top" align="center">56 (6.34%)</td>
<td valign="top" align="center">41 (6.62%)</td>
<td valign="top" align="center">15 (5.68%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> TX</td>
<td valign="top" align="center">31 (3.51%)</td>
<td valign="top" align="center">23 (3.72%)</td>
<td valign="top" align="center">8 (3.03%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>N stage</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.304</td>
</tr>
<tr>
<td valign="top" align="left"> N0</td>
<td valign="top" align="center">813 (92.1%)</td>
<td valign="top" align="center">568 (91.8%)</td>
<td valign="top" align="center">245 (92.8%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> N1</td>
<td valign="top" align="center">37 (4.19%)</td>
<td valign="top" align="center">30 (4.85%)</td>
<td valign="top" align="center">7 (2.65%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> N2</td>
<td valign="top" align="center">4 (0.45%)</td>
<td valign="top" align="center">3 (0.48%)</td>
<td valign="top" align="center">1 (0.38%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> N3</td>
<td valign="top" align="center">5 (0.57%)</td>
<td valign="top" align="center">2 (0.32%)</td>
<td valign="top" align="center">3 (1.14%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> NX</td>
<td valign="top" align="center">24 (2.72%)</td>
<td valign="top" align="center">16 (2.58%)</td>
<td valign="top" align="center">8 (3.03%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>M stage</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.280</td>
</tr>
<tr>
<td valign="top" align="left"> M0</td>
<td valign="top" align="center">866 (98.1%)</td>
<td valign="top" align="center">604 (97.6%)</td>
<td valign="top" align="center">262 (99.2%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> M1</td>
<td valign="top" align="center">13 (1.47%)</td>
<td valign="top" align="center">11 (1.78%)</td>
<td valign="top" align="center">2 (0.76%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> MX</td>
<td valign="top" align="center">4 (0.45%)</td>
<td valign="top" align="center">4 (0.65%)</td>
<td valign="top" align="center">0 (0.00%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Stage</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.945</td>
</tr>
<tr>
<td valign="top" align="left"> I</td>
<td valign="top" align="center">689 (78.0%)</td>
<td valign="top" align="center">480 (77.5%)</td>
<td valign="top" align="center">209 (79.2%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> II</td>
<td valign="top" align="center">85 (9.63%)</td>
<td valign="top" align="center">62 (10.0%)</td>
<td valign="top" align="center">23 (8.71%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> III</td>
<td valign="top" align="center">44 (4.98%)</td>
<td valign="top" align="center">32 (5.17%)</td>
<td valign="top" align="center">12 (4.55%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> IV</td>
<td valign="top" align="center">22 (2.49%)</td>
<td valign="top" align="center">16 (2.58%)</td>
<td valign="top" align="center">6 (2.27%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> unknown</td>
<td valign="top" align="center">43 (4.87%)</td>
<td valign="top" align="center">29 (4.68%)</td>
<td valign="top" align="center">14 (5.30%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Sequence number</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.298</td>
</tr>
<tr>
<td valign="top" align="left"> Only 1 primary tumor</td>
<td valign="top" align="center">674 (76.3%)</td>
<td valign="top" align="center">479 (77.4%)</td>
<td valign="top" align="center">195 (73.9%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> More than 1 primary tumors</td>
<td valign="top" align="center">209 (23.7%)</td>
<td valign="top" align="center">140 (22.6%)</td>
<td valign="top" align="center">69 (26.1%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Histologic subtype</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.323</td>
</tr>
<tr>
<td valign="top" align="left"> Mycosis fungoides</td>
<td valign="top" align="center">879 (99.5%)</td>
<td valign="top" align="center">615 (99.4%)</td>
<td valign="top" align="center">264 (100%)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Sezary syndrome</td>
<td valign="top" align="center">4 (0.45%)</td>
<td valign="top" align="center">4 (0.65%)</td>
<td valign="top" align="center">0 (0.00%)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NOS, not otherwise specified; HIV-associated CTCL, human immunodeficiency virus associated cutaneous T-Cell lymphoma.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Incidence of HIV-Associated CTCL</title>
<p>The age-adjusted average incidence rate per 100,000 persons per year for HIV-associated CTCL was 0.071 during the period 2004-2017. The incidence of HIV-associated CTCL remained stable from 2004 to 2007, with an average annual incidence of 0.01/100,000, and an APC of -13.97 (95% CI, -65.3-113.4; P=0.699). However, since 2007, the annual incidence of HIV-associated CTCL per 100,000 people increased sharply from 0.01 to 0.09 in 2011, with an APC of 100.60 (95% CI, 19.9-235.5; P= 0.016). The increase in incidence rate per 100,000 person-years leveled off between 2011-2017, increasing from 0.09 in 2011 to 0.17 in 2017, with an APC of 10.18 (95% CI, 3.2-17.7; P= 0.011) (see <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref> and <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables&#xa0;1</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM2">
<bold>2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Incidence rates and APCs of patients with HIV-associated CTCL. APCs, annual percentage changes; HIV-associated CTCL, human immunodeficiency virus associated cutaneous T-Cell lymphoma.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-847710-g002.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Survival Analysis</title>
<p>
<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4</bold>
</xref> show the survival curves of OS, DSS for all patients with HIV-associated CTCL in each univariate condition, respectively. Kaplan-Meier survival analysis showed that OS and DSS decreased with increasing patient age, and the OS of women was longer than that of men. In terms of treatment options, chemotherapy and radiotherapy were associated with OS and DSS. Interestingly, chemotherapy and radiotherapy significantly reduced patient OS and DSS (P &lt; 0.0001), whereas surgery had no statistically significant effect on OS and DSS. In addition, marital status, tumor primary site, tumor stage, tumor tissue subtype, and number of primary tumors were all associated with OS and DSS. Race and the year of diagnosis had no effect on the OS and DSS. <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref> shows the survival curves of OS, DSS for all patients with HIV-associated CTCL. The median OS for all patients was 162 months, and their OS rates at 1, 3, 5, and 10 years were 0.964 (95% CI: 0.952- 0.977), 0.904 (95% CI: 0.883-0.925), 0.835 (95% CI: 0.805-0.866), and 0.766 (95% CI: 0.716- 0.819). We also evaluated the OS and DSS rates of HIV-associated CTCL patients at 1, 3, and 5 years using different tumor staging systems (<xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Kaplan-Meier survival analysis of the effect of each independent predictor on OS in patients with HIV-associated CTCL. <bold>(A&#x2013;P)</bold> The survival curves of year of diagnosis, sex, race, age, marital status, primary site, surgery, radiation, chemotherapy, summary stage, t stage, n stage, m stage, stage, sequence number, histologic subtype, respectively. OS, overall survival; HIV-associated CTCL, human immunodeficiency virus associated cutaneous T-Cell lymphoma.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-847710-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Kaplan-Meier survival analysis of the effect of each independent predictor on DSS in patients with HIV-associated CTCL. <bold>(A&#x2013;P)</bold> The survival curves of year of diagnosis, sex, race, age, marital status, primary site, surgery, radiation, chemotherapy, summary stage, t stage, n stage, m stage, stage, sequence number, histologic subtype, respectively. DSS, disease-specific survival; HIV-associated CTCL, human immunodeficiency virus associated cutaneous T-Cell lymphoma.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-847710-g004.tif"/>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Kaplan-Meier survival analysis of all patients with HIV-associated CTCL: <bold>(A)</bold> OS; <bold>(B).</bold> DSS. HIV-associated CTCL, human immunodeficiency virus associated cutaneous T-Cell. lymphoma; OS, overall survival; DSS, disease-specific survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-847710-g005.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Univariate, Multivariate COX Regression Analysis and Nomogram</title>
<p>The results of univariate and multivariate Cox regression analyses of OS and DSS in HIV-associated CTCL patients are shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. Univariate Cox regression analysis showed that the variables &#x201c;Sex&#x201d;, &#x201c;Age&#x201d;, &#x201c;Radiation&#x201d;, &#x201c;Chemotherapy&#x201d;, &#x201c;Summary stage&#x201d;, &#x201c;Stage&#x201d;, &#x201c;T stage&#x201d;, &#x201c;N stage&#x201d;, &#x201c;M stage&#x2019;, &#x201c;Sequence number&#x201d;, and &#x201c;Histologic subtype&#x201d; were associated with patient OS. It was found that &#x201c;Age&#x201d;, &#x201c;Radiation&#x201d;, &#x201c;Chemotherapy&#x201d;, &#x201c;Sequence number&#x201d; were associated with patient OS (all P&lt;0.05), after the above univariate results were included in the multivariate COX regression analysis. Similarly, univariate Cox regression analysis showed that variables such as &#x201c;Age&#x201d;, &#x201c;Radiation&#x201d;, &#x201c;Chemotherapy&#x201d;, &#x201c;Summary stage&#x201d;, and &#x201c;Histologic subtype&#x201d; were associated with DSS. Analysis of these univariate variables included in multivariate COX regression showed that &#x201c;Age&#x201d;, &#x201c;Chemotherapy&#x201d;, and &#x201c;Summary stage&#x201d; were associated with DSS (all <italic>P</italic> &lt; 0.05).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Univariate and multivariate Cox regression analysis of OS and DSS in patients with HIV-associated CTCL in training cohort.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="3" align="left">Characteristics</th>
<th valign="top" colspan="6" align="center">OS</th>
<th valign="top" colspan="6" align="center">DSS</th>
</tr>
<tr>
<th valign="top" colspan="3" align="center">Univariate analysis</th>
<th valign="top" colspan="2" align="center">Multivariate analysis</th>
<th valign="top" align="center"/>
<th valign="top" colspan="3" align="center">Univariate analysis</th>
<th valign="top" colspan="2" align="center">Multivariate analysis</th>
<th valign="top" align="center"/>
</tr>
<tr>
<th valign="top" align="center">HR</th>
<th valign="top" align="center">95% CI</th>
<th valign="top" align="center">p Value</th>
<th valign="top" align="center">HR</th>
<th valign="top" align="center">95% CI</th>
<th valign="top" align="center">p Value</th>
<th valign="top" align="center">HR</th>
<th valign="top" align="center">95% CI</th>
<th valign="top" align="center">p Value</th>
<th valign="top" align="center">HR</th>
<th valign="top" align="center">95% CI</th>
<th valign="top" align="center">p Value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Year of diagnosis</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> 2004-2008</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> 2009-2013</td>
<td valign="top" align="left">1.038</td>
<td valign="top" align="center">0.439-2.455</td>
<td valign="top" align="center">0.933</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">1.304</td>
<td valign="top" align="center">0.399-4.269</td>
<td valign="top" align="center">0.661</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> 2014-2017</td>
<td valign="top" align="left">0.693</td>
<td valign="top" align="center">0.279-1.719</td>
<td valign="top" align="center">0.429</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">0.692</td>
<td valign="top" align="center">0.199-2.410</td>
<td valign="top" align="center">0.563</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Sex</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Female</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Male</td>
<td valign="top" align="left">1.957</td>
<td valign="top" align="center">1.218-3.145</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="left">1.663</td>
<td valign="top" align="center">0.998-2.772</td>
<td valign="top" align="center">0.051</td>
<td valign="top" align="left">1.338</td>
<td valign="top" align="center">0.760-2.357</td>
<td valign="top" align="center">0.313</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Race</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Asian or Pacific Islander</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> White</td>
<td valign="top" align="left">2.036</td>
<td valign="top" align="center">0.741-5.591</td>
<td valign="top" align="center">0.168</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">2.507</td>
<td valign="top" align="center">0.605-10.380</td>
<td valign="top" align="center">0.205</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Black</td>
<td valign="top" align="left">2.608</td>
<td valign="top" align="center">0.882-7.711</td>
<td valign="top" align="center">0.083</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">3.493</td>
<td valign="top" align="center">0.781-15.620</td>
<td valign="top" align="center">0.102</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Other</td>
<td valign="top" align="left">0.000</td>
<td valign="top" align="center">0.000- Inf</td>
<td valign="top" align="center">0.995</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">0.000</td>
<td valign="top" align="center">0.000-Inf</td>
<td valign="top" align="center">0.996</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Age</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> &lt;60</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> 60-69</td>
<td valign="top" align="left">2.392</td>
<td valign="top" align="center">1.286-4.450</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="left">2.298</td>
<td valign="top" align="center">1.191-4.433</td>
<td valign="top" align="center">
<bold>0.013</bold>
</td>
<td valign="top" align="left">2.237</td>
<td valign="top" align="center">1.105-4.527</td>
<td valign="top" align="center">0.025</td>
<td valign="top" align="left">2.429</td>
<td valign="top" align="center">1.191-4.954</td>
<td valign="top" align="center">
<bold>0.015</bold>
</td>
</tr>
<tr>
<td valign="top" align="left"> 70-79</td>
<td valign="top" align="left">5.261</td>
<td valign="top" align="center">2.974-9.307</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">4.227</td>
<td valign="top" align="center">2.242-7.967</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
<td valign="top" align="left">3.257</td>
<td valign="top" align="center">1.590-6.675</td>
<td valign="top" align="center">&lt;0.010</td>
<td valign="top" align="left">3.101</td>
<td valign="top" align="center">1.477-6.508</td>
<td valign="top" align="center">
<bold>&lt;0.010</bold>
</td>
</tr>
<tr>
<td valign="top" align="left"> &#x2265;80</td>
<td valign="top" align="left">9.487</td>
<td valign="top" align="center">5.125-17.560</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">7.854</td>
<td valign="top" align="center">3.890-15.856</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
<td valign="top" align="left">4.824</td>
<td valign="top" align="center">2.127-10.941</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">4.828</td>
<td valign="top" align="center">2.021-11.530</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Marital status</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Married</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Unmarried</td>
<td valign="top" align="left">1.208</td>
<td valign="top" align="center">0.777-1.877</td>
<td valign="top" align="center">0.401</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">1.382</td>
<td valign="top" align="center">0.796-2.398</td>
<td valign="top" align="center">0.250</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Unknown</td>
<td valign="top" align="left">0.444</td>
<td valign="top" align="center">0.210-0.939</td>
<td valign="top" align="center">0.034</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">0.293</td>
<td valign="top" align="center">0.089-0.965</td>
<td valign="top" align="center">0.044</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Primary Site</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Others</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Skin, NOS</td>
<td valign="top" align="left">1.290</td>
<td valign="top" align="center">0.404-4.123</td>
<td valign="top" align="center">0.667</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">37293683.000</td>
<td valign="top" align="center">0- Inf</td>
<td valign="top" align="center">0.996</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Skin of trunk</td>
<td valign="top" align="left">0.486</td>
<td valign="top" align="center">0.126-1.883</td>
<td valign="top" align="center">0.297</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">8929581.000</td>
<td valign="top" align="center">0- Inf</td>
<td valign="top" align="center">0.997</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Skin of the head and face</td>
<td valign="top" align="left">2.073</td>
<td valign="top" align="center">0.536-8.024</td>
<td valign="top" align="center">0.291</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">60899953.000</td>
<td valign="top" align="center">0- Inf</td>
<td valign="top" align="center">0.996</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Skin of the extremities</td>
<td valign="top" align="left">0.839</td>
<td valign="top" align="center">0.238-2.949</td>
<td valign="top" align="center">0.784</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">16428213.000</td>
<td valign="top" align="center">0- Inf</td>
<td valign="top" align="center">0.996</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Surgery</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> No</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Yes</td>
<td valign="top" align="left">0.983</td>
<td valign="top" align="center">0.590-1.639</td>
<td valign="top" align="center">0.949</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">1.229</td>
<td valign="top" align="center">0.656-2.301</td>
<td valign="top" align="center">0.520</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Radiation</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> No/Unknown</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Yes</td>
<td valign="top" align="left">2.470</td>
<td valign="top" align="center">1.486-4.105</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">1.915</td>
<td valign="top" align="center">1.050-3.493</td>
<td valign="top" align="center">
<bold>0.034</bold>
</td>
<td valign="top" align="left">3.509</td>
<td valign="top" align="center">1.932-6.373</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">1.885</td>
<td valign="top" align="center">0.982-3.616</td>
<td valign="top" align="center">0.057</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Chemotherapy</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> No/Unknown</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Yes</td>
<td valign="top" align="left">2.584</td>
<td valign="top" align="center">1.703-3.918</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">2.128</td>
<td valign="top" align="center">1.335-3.393</td>
<td valign="top" align="center">
<bold>0.002</bold>
</td>
<td valign="top" align="left">5.145</td>
<td valign="top" align="center">2.976-8.896</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">3.321</td>
<td valign="top" align="center">1.854- 5.951</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Summary stage</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Distant</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Localized</td>
<td valign="top" align="left">0.067</td>
<td valign="top" align="center">0.030-0.151</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">0.367</td>
<td valign="top" align="center">0.029-4.588</td>
<td valign="top" align="center">0.437</td>
<td valign="top" align="left">0.040</td>
<td valign="top" align="center">0.016-0.100</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">0.066</td>
<td valign="top" align="center">0.024-0.180</td>
<td valign="top" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="top" align="left"> Regional</td>
<td valign="top" align="left">0.341</td>
<td valign="top" align="center">0.150-0.776</td>
<td valign="top" align="center">&lt;0.05</td>
<td valign="top" align="left">0.393</td>
<td valign="top" align="center">0.045-3.407</td>
<td valign="top" align="center">0.397</td>
<td valign="top" align="left">0.311</td>
<td valign="top" align="center">0.127-0.766</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="left">0.333</td>
<td valign="top" align="center">0.130-0.852</td>
<td valign="top" align="center">
<bold>0.022</bold>
</td>
</tr>
<tr>
<td valign="top" align="left"> Unknown/unstaged</td>
<td valign="top" align="left">0.176</td>
<td valign="top" align="center">0.051-0.607</td>
<td valign="top" align="center">&lt;0.01</td>
<td valign="top" align="left">0.298</td>
<td valign="top" align="center">0.016-5.403</td>
<td valign="top" align="center">0.412</td>
<td valign="top" align="left">0.051</td>
<td valign="top" align="center">0.006-0.431</td>
<td valign="top" align="center">0.006</td>
<td valign="top" align="left">0.097</td>
<td valign="top" align="center">0.010-0.902</td>
<td valign="top" align="center">
<bold>0.040</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>T stage</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> T1</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> T2</td>
<td valign="top" align="left">1.352</td>
<td valign="top" align="center">0.716-2.553</td>
<td valign="top" align="center">0.353</td>
<td valign="top" align="left">1.421</td>
<td valign="top" align="center">0.738-2.736</td>
<td valign="top" align="center">0.294</td>
<td valign="top" align="left">1.108</td>
<td valign="top" align="center">0.430-2.856</td>
<td valign="top" align="center">0.832</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> T3</td>
<td valign="top" align="left">5.399</td>
<td valign="top" align="center">3.049-9.560</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">2.298</td>
<td valign="top" align="center">0.424-12.463</td>
<td valign="top" align="center">0.335</td>
<td valign="top" align="left">9.128</td>
<td valign="top" align="center">4.499-18.519</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> T4</td>
<td valign="top" align="left">7.690</td>
<td valign="top" align="center">4.318-13.696</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">3.357</td>
<td valign="top" align="center">0.486-23.208</td>
<td valign="top" align="center">0.220</td>
<td valign="top" align="left">11.210</td>
<td valign="top" align="center">5.398-23.279</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> TX</td>
<td valign="top" align="left">4.530</td>
<td valign="top" align="center">1.986-10.334</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">4.311</td>
<td valign="top" align="center">0.443-41.978</td>
<td valign="top" align="center">0.208</td>
<td valign="top" align="left">3.682</td>
<td valign="top" align="center">1.065-12.732</td>
<td valign="top" align="center">0.040</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>N stage</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> N0</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> N1</td>
<td valign="top" align="left">3.884</td>
<td valign="top" align="center">2.049-7.360</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">1.621</td>
<td valign="top" align="center">0.651-4.040</td>
<td valign="top" align="center">0.300</td>
<td valign="top" align="left">5.099</td>
<td valign="top" align="center">2.473-10.516</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> N2</td>
<td valign="top" align="left">12.933</td>
<td valign="top" align="center">3.152-53.062</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">40.619</td>
<td valign="top" align="center">4.769-345.958</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">10.225</td>
<td valign="top" align="center">1.399-74.731</td>
<td valign="top" align="center">0.022</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> N3</td>
<td valign="top" align="left">10.207</td>
<td valign="top" align="center">1.406- 74.080</td>
<td valign="top" align="center">&lt;0.05</td>
<td valign="top" align="left">22.056</td>
<td valign="top" align="center">0.650-748.619</td>
<td valign="top" align="center">0.085</td>
<td valign="top" align="left">17.175</td>
<td valign="top" align="center">2.334-126.387</td>
<td valign="top" align="center">&lt;0.010</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> NX</td>
<td valign="top" align="left">3.269</td>
<td valign="top" align="center">1.407-7.594</td>
<td valign="top" align="center">&lt;0.01</td>
<td valign="top" align="left">1.482</td>
<td valign="top" align="center">0.339-6.4708</td>
<td valign="top" align="center">0.601</td>
<td valign="top" align="left">1.960</td>
<td valign="top" align="center">0.472-8.138</td>
<td valign="top" align="center">0.354</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>M stage</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> M0</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> M1</td>
<td valign="top" align="left">11.221</td>
<td valign="top" align="center">5.384-23.390</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">6.483</td>
<td valign="top" align="center">0.328-128.178</td>
<td valign="top" align="center">0.220</td>
<td valign="top" align="left">13.274</td>
<td valign="top" align="center">5.635-31.260</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> MX</td>
<td valign="top" align="left">4.501</td>
<td valign="top" align="center">1.415-14.320</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="left">1.573</td>
<td valign="top" align="center">0.278-8.897</td>
<td valign="top" align="center">0.608</td>
<td valign="top" align="left">2.456</td>
<td valign="top" align="center">0.338-17.850</td>
<td valign="top" align="center">0.375</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Stage</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> I</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> II</td>
<td valign="top" align="left">4.195</td>
<td valign="top" align="center">2.426-7.254</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">1.263</td>
<td valign="top" align="center">0.201-7.925</td>
<td valign="top" align="center">0.803</td>
<td valign="top" align="left">6.802</td>
<td valign="top" align="center">3.408-13.580</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> III</td>
<td valign="top" align="left">6.082</td>
<td valign="top" align="center">3.248-11.389</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">0.956</td>
<td valign="top" align="center">0.096-9.570</td>
<td valign="top" align="center">0.970</td>
<td valign="top" align="left">10.200</td>
<td valign="top" align="center">4.728-22.007</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> IV</td>
<td valign="top" align="left">14.009</td>
<td valign="top" align="center">6.975-28.138</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">0.181</td>
<td valign="top" align="center">0.009-3.852</td>
<td valign="top" align="center">0.273</td>
<td valign="top" align="left">22.855</td>
<td valign="top" align="center">9.943-52.536</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> unknown</td>
<td valign="top" align="left">3.011</td>
<td valign="top" align="center">1.348-6.725</td>
<td valign="top" align="center">0.007</td>
<td valign="top" align="left">0.607</td>
<td valign="top" align="center">0.060-6.147</td>
<td valign="top" align="center">0.673</td>
<td valign="top" align="left">2.809</td>
<td valign="top" align="center">0.830-9.506</td>
<td valign="top" align="center">0.097</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Sequence number</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> More than 1 primary tumors</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Only 1 primary tumor</td>
<td valign="top" align="left">0.411</td>
<td valign="top" align="center">0.270-0.625</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">0.591</td>
<td valign="top" align="center">0.363-0.963</td>
<td valign="top" align="center">
<bold>0.035</bold>
</td>
<td valign="top" align="left">0.589</td>
<td valign="top" align="center">0.334-1.037</td>
<td valign="top" align="center">0.067</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Histologic subtype</bold>
</td>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Mycosis fungoides</td>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="left">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Sezary syndrome</td>
<td valign="top" align="left">11.700</td>
<td valign="top" align="center">4.275-32.020</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="left">0.911</td>
<td valign="top" align="center">0.158-5.236</td>
<td valign="top" align="center">0.916</td>
<td valign="top" align="left">9.140</td>
<td valign="top" align="center">2.218-37.670</td>
<td valign="top" align="center">0.002</td>
<td valign="top" align="left">1.319</td>
<td valign="top" align="center">0.290-6.007</td>
<td valign="top" align="center">0.720</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CI, confidence intervals; HR, hazard ratio; Inf, infinity; OS, overall survival; DSS, disease-specific survival; HIV-associated CTCL, human immunodeficiency virus associated cutaneous T-Cell lymphoma.</p>
<p>The values in bold highlight p-values &lt;0.05.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The nomogram, based on characteristic phenotype of disease, is used to predict the future probability of a specific outcome event in a population with a specific characteristic. After excluding non-significant variables, the statistically significant variables in the multivariate COX regression were used to construct the nomogram of OS and DSS in the training cohort. Each variable corresponds to a specific point, through drawing a straight line on the point axis, and then the sum of the values corresponding to these points can predict the probability of OS and DSS in 1, 3, 5 and 10 years (<xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A, B</bold>
</xref>
<bold>)</bold>.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Nomograms to predict 1-, 3-, 5-, and 10-year OS and DSS for patients with HIV-associated CTCL: <bold>(A)</bold> OS; <bold>(B)</bold> DSS. HIV-associated CTCL, human immunodeficiency virus associated cutaneous T-Cell lymphoma; OS, overall survival; DSS, disease-specific survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-847710-g006.tif"/>
</fig>
</sec>
<sec id="s3_5">
<title>Nomogram Verification</title>
<p>The consistency index (C-index) and the area under the receiver operating characteristic curve (AUC) were used to assess the discrimination of the nomogram. The C-index of the nomogram, which was used to predict OS in this study, was 0.78 in the training cohort. AUCs were plotted to verify the accuracy of the nomogram to predict the OS at 1, 3, 5 and 10 years. The results showed that the AUCs were 0.815, 0.783, 0.779 and 0.765 respectively, which indicated good discrimination of the nomogram of OS (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>). The nomogram of DSS was better distinguished with a C-index of 0.848, and AUCs of 1-, 3-, 5-, and 10-year DSS were 0.921, 0.880, 0.841, and 0.847, respectively (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>). The calibration plots were drawn to evaluate the consistency of the nomograms. In this study, the calibration plots showed excellent agreement between the predicted and actual results of OS and DSS in the training cohort and the validation cohort (<xref ref-type="fig" rid="f8">
<bold>Figure&#xa0;8</bold>
</xref>).</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Receiver operating characteristic curves and area under the curve values from the nomograms for 1-, 3-, 5-, and 10-year OS <bold>(A)</bold> and DSS <bold>(B)</bold>. AUC, area under the receiver operating characteristic curve; OS, overall survival; DSS, disease-specific survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-847710-g007.tif"/>
</fig>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Calibration plots of the nomograms for predicting 1-, 3-, 5-, and 10-year OS and DSS using the training and validation cohort. <bold>(A)</bold> 1-, 3-, 5-, and 10-year calibration plots of OS using training cohort; <bold>(B)</bold> 1-, 3-, 5-, and 10-year calibration plots of OS using validation cohort; <bold>(C)</bold> 1-, 3-, 5-, and 10-year calibration plots of DSS using training cohort; <bold>(D)</bold> 1-, 3-, 5-, and 10-year calibration plots of DSS using validation cohort. OS, overall survival; DSS, disease-specific survival.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-847710-g008.tif"/>
</fig>
</sec>
<sec id="s3_6">
<title>The Performance of Nomogram in Risk Stratification</title>
<p>To further assess the discrimination of the nomogram, we first classified the 619 patients in the training cohort into 422 low-risk, 122 medium-risk, and 75 high-risk populations using X-tile software, with cutoff values of 0.92 and 1.67 as shown in <xref ref-type="fig" rid="f9">
<bold>Figures&#xa0;9A, B</bold>
</xref>. Then, the results of Kaplan-Meier survival analysis showed that the low-risk population had the best OS, followed by the medium-risk population, and the high-risk population the worst (<italic>P</italic> &lt; 0.0001) (<xref ref-type="fig" rid="f9">
<bold>Figure&#xa0;9C</bold>
</xref>).</p>
<fig id="f9" position="float">
<label>Figure&#xa0;9</label>
<caption>
<p>Optimal cutoff values of risk score identified by X-tile analysis of patients with HIV-associated CTCL in the training cohort <bold>(A, B)</bold>. Overall survival of patients with HIV-associated CTCL stratified by risk score <bold>(C)</bold>. HIV-associated CTCL, human immunodeficiency virus associated cutaneous T-Cell lymphoma.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-847710-g009.tif"/>
</fig>
</sec>
</sec>
<sec id="s4">
<title>Discussion</title>
<p>CTCL belongs to a relatively rare group of NHL, a heterogeneous group of lymphoproliferative diseases characterized by clonal proliferation of mature post-thymic T cells infiltrating the skin (<xref ref-type="bibr" rid="B10">10</xref>). At present, the detailed pathogenesis of CTCL remains largely unknown, and known risk factors include age, race, gender, and environmental, infectious, iatrogenic, and other exposures associated with the occurrence of CTCL. Among these, infectious factors including human T lymphotropic virus type-1 (HTLV-1), HTLV-2, Epstein-Barr virus (EBV), cytomegalovirus (CMV), human herpesvirus, merkel cell polyoma virus (MCV), and HIV are also considered to play an important role in pathogenesis (<xref ref-type="bibr" rid="B11">11</xref>). The global incidence of CTCL has increased 2 to 3 times in the last two decades, with 5 to 11 cases per 1,000,000 people per year (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B12">12</xref>). The incidence of CTCL varies according to geographical location (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>However, CTCL is uncommonly associated with HIV infection, and the incidence of HIV-associated CTCL is currently unclear (<xref ref-type="bibr" rid="B13">13</xref>). We calculated the incidence of HIV-associated CTCL by extracting patient information from the SEER database. To our knowledge, this is the largest study of HIV-associated CTCL to date.</p>
<p>Our study showed that the age-adjusted average incidence rate of HIV-associated CTCL per 100,000 persons per year for the period 2004-2017 was 0.071. The incidence of HIV-associated CTCL remained stable from 2004 to 2007, with an average annual incidence of 0.01/100,000. However, since 2007, the incidence rate of HIV-associated CTCL had increased sharply to 0.09 per 100,000 person-years by 2011. The incidence rate of HIV-associated CTCL per 100,000 person-years increased from 0.09 in 2011 to 0.17 in 2017.</p>
<p>CTCL can occur at any age, but more often the median age at diagnosis is 54 years (range, 10 - 89 years) with a male-to-female ratio of 1.6:1 (<xref ref-type="bibr" rid="B14">14</xref>), and our findings are similar in the HIV-associated CTCL population, with a median age at diagnosis of 59 years and a male-to-female ratio of 1.5:1. Our study showed that OS and DSS decreased with increasing age in HIV-associated CTCL patients. Similarly, another study showed that age &gt;60 years predicted lower survival in CTCL patients (<xref ref-type="bibr" rid="B15">15</xref>). There is now growing evidence that the incidence of cancer increases with age, which may be related to various age-related changes such as immune system disorders and DNA damage (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). In addition, the incidence of complications such as cardiovascular, renal, neurocognitive, and osteoporosis increases with age in HIV-infected patients (<xref ref-type="bibr" rid="B18">18</xref>). More comorbidities in patients may also have a direct adverse effect on the survival time of patients, which is the cause of the higher mortality rate in elderly patients (<xref ref-type="bibr" rid="B19">19</xref>).</p>
<p>In this study, female patients had longer OS than male patients, which may be related to the direct impact of estrogen on the proliferation of lymphoid cells or its effect on anti-tumor immune response (<xref ref-type="bibr" rid="B20">20</xref>). Treatment of NHL is dominated by combination chemotherapy regimens, and in female patients, the combination of rituximab can prolong overall survival. Better outcomes in terms of complete remission in certain lymphoid malignancies were associated with a significantly lower clearance of rituximab in female patients than in male patients (<xref ref-type="bibr" rid="B21">21</xref>). Marital status is also considered an independent prognostic factor for survival in various cancers, and it has been shown that marital status is a good predictor of prognosis in patients with HL, with widowed patients likely to have worse survival outcomes than other groups (<xref ref-type="bibr" rid="B22">22</xref>). Another study, consistent with our findings, showed that NHL patients who lacked partner or spousal support or had a high disease burden may severely impair health-related quality of life (<xref ref-type="bibr" rid="B23">23</xref>).</p>
<p>CTCL patients are at a significantly increased risk of developing a second primary malignancy, particularly lymphoma, and this risk increases over time (<xref ref-type="bibr" rid="B24">24</xref>). The vast majority of CTCL patients consists of MF subtypes (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Studies have shown that CTCL is more prevalent in Asian populations, with the MF subtype accounting for 62% of CTCL compared to 3% for the SS subtype (<xref ref-type="bibr" rid="B27">27</xref>). And in our study, MF subtypes accounted for 99.5% of HIV-associated CTCL patients. Patients with MF may have underlying immune dysregulation, including T-cell immunodeficiency resulting in reduced immune surveillance in the MF environment, which may be a factor in increasing the risk of malignancy (<xref ref-type="bibr" rid="B28">28</xref>), and the same immunodeficiency occurs in HIV-infected patients. Patients with MF have a significantly increased risk of being diagnosed with second primary malignancies such as NHL, HL, melanoma, lung cancer, female breast cancer, prostate cancer, colon cancer, and kidney cancer. OS was lower in MF patients with a second malignancy compared with patients without second malignancies (<xref ref-type="bibr" rid="B29">29</xref>). As shown in <xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4</bold>
</xref>, similar results also appeared in the HIV-associated CTCL population.</p>
<p>In 2007, the International Society for Cutaneous Lymphoma (ISCL) and the European Organization for Research and Treatment of Cancer (EORTC) revised the classification and staging system of CTCL into a TNMB staging system specifically for MF/SS (<xref ref-type="bibr" rid="B30">30</xref>), and recommended its use in defining the burden of disease to guide physicians in their treatment strategies. A retrospective study by Agar et&#xa0;al. (<xref ref-type="bibr" rid="B14">14</xref>) validated the revised ISCL/EORTC MF/SS staging recommendations and confirmed that the revised T, N, M and B classifications were significantly associated with OS and DSS. As shown in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, the tumor staging system in this study included Summary stage, T N M stage, Stage, etc., and to our knowledge, this would be the first study to assess the prognosis of patients with HIV-associated CTCL using a tumor staging system. Numerous studies in the past have shown that the prognosis of patients with HIV-associated NHL in the post-antiretroviral therapy era is significantly better than before (<xref ref-type="bibr" rid="B31">31</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>). The prognosis for HIV-positive NHL patients is now very close to or similar to that of HIV-negative NHL patients (<xref ref-type="bibr" rid="B35">35</xref>). Prognostic studies in patients with HIV-associated CTCL appear to have better results. Compared with the results of Agar et&#xa0;al. (<xref ref-type="bibr" rid="B14">14</xref>), the 5-year OS and DSS of HIV-associated CTCL patients were higher, which is consistent with the results of Wang et&#xa0;al. (<xref ref-type="bibr" rid="B8">8</xref>) showing that HIV infection status in CTCL patients is an independent protective factor.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Summary of OS and DSS rates at years 1, 3, and 5 in patients with HIV-associated CTCL under different tumor staging systems.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"> </th>
<th valign="top" colspan="2" align="center">1-year </th>
<th valign="top" colspan="2" align="center">3-year </th>
<th valign="top" colspan="2" align="center">5-year </th>
</tr>
<tr>
<th valign="top" align="left"> </th>
<th valign="top" align="center">OS (%)</th>
<th valign="top" align="center">DSS (%)</th>
<th valign="top" align="center">OS (%)</th>
<th valign="top" align="center">DSS (%)</th>
<th valign="top" align="center">OS (%)</th>
<th valign="top" align="center">DSS (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">
<bold>Stage</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> I</td>
<td valign="top" align="center">99.00</td>
<td valign="top" align="center">99.50</td>
<td valign="top" align="center">95.60</td>
<td valign="top" align="center">98.00</td>
<td valign="top" align="center">90.44</td>
<td valign="top" align="center">95.35</td>
</tr>
<tr>
<td valign="top" align="left"> II</td>
<td valign="top" align="center">89.32</td>
<td valign="top" align="center">90.47</td>
<td valign="top" align="center">76.80</td>
<td valign="top" align="center">80.13</td>
<td valign="top" align="center">60.18</td>
<td valign="top" align="center">71.20</td>
</tr>
<tr>
<td valign="top" align="left"> III</td>
<td valign="top" align="center">88.52</td>
<td valign="top" align="center">88.52</td>
<td valign="top" align="center">69.01</td>
<td valign="top" align="center">71.77</td>
<td valign="top" align="center">51.70</td>
<td valign="top" align="center">65.79</td>
</tr>
<tr>
<td valign="top" align="left"> IV</td>
<td valign="top" align="center">59.10</td>
<td valign="top" align="center">71.00</td>
<td valign="top" align="center">45.00</td>
<td valign="top" align="center">54.10</td>
<td valign="top" align="center">39.40</td>
<td valign="top" align="center">47.30</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Summary stage</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> Localized</td>
<td valign="top" align="center">99.00</td>
<td valign="top" align="center">99.60</td>
<td valign="top" align="center">95.30</td>
<td valign="top" align="center">97.70</td>
<td valign="top" align="center">90.32</td>
<td valign="top" align="center">95.11</td>
</tr>
<tr>
<td valign="top" align="left"> Regional</td>
<td valign="top" align="center">86.18</td>
<td valign="top" align="center">88.25</td>
<td valign="top" align="center">68.31</td>
<td valign="top" align="center">74.11</td>
<td valign="top" align="center">53.40</td>
<td valign="top" align="center">66.61</td>
</tr>
<tr>
<td valign="top" align="left"> Distant</td>
<td valign="top" align="center">65.00</td>
<td valign="top" align="center">70.00</td>
<td valign="top" align="center">49.50</td>
<td valign="top" align="center">53.30</td>
<td valign="top" align="center">24.80</td>
<td valign="top" align="center">26.67</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>T stage</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> T1</td>
<td valign="top" align="center">99.00</td>
<td valign="top" align="center">99.20</td>
<td valign="top" align="center">94.95</td>
<td valign="top" align="center">97.20</td>
<td valign="top" align="center">90.89</td>
<td valign="top" align="center">95.80</td>
</tr>
<tr>
<td valign="top" align="left"> T2</td>
<td valign="top" align="center">98.60</td>
<td valign="top" align="center">100.00</td>
<td valign="top" align="center">95.37</td>
<td valign="top" align="center">98.47</td>
<td valign="top" align="center">87.33</td>
<td valign="top" align="center">92.85</td>
</tr>
<tr>
<td valign="top" align="left"> T3</td>
<td valign="top" align="center">87.24</td>
<td valign="top" align="center">88.47</td>
<td valign="top" align="center">71.80</td>
<td valign="top" align="center">75.47</td>
<td valign="top" align="center">52.60</td>
<td valign="top" align="center">62.39</td>
</tr>
<tr>
<td valign="top" align="left"> T4</td>
<td valign="top" align="center">81.99</td>
<td valign="top" align="center">85.18</td>
<td valign="top" align="center">57.88</td>
<td valign="top" align="center">65.03</td>
<td valign="top" align="center">45.50</td>
<td valign="top" align="center">60.39</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>N stage</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> N0</td>
<td valign="top" align="center">97.90</td>
<td valign="top" align="center">98.40</td>
<td valign="top" align="center">93.00</td>
<td valign="top" align="center">95.50</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left"> N1</td>
<td valign="top" align="center">81.08</td>
<td valign="top" align="center">83.70</td>
<td valign="top" align="center">62.13</td>
<td valign="top" align="center">66.51</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left"> N2</td>
<td valign="top" align="center">50.00</td>
<td valign="top" align="center">66.70</td>
<td valign="top" align="center">50.00</td>
<td valign="top" align="center">66.70</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left"> N3</td>
<td valign="top" align="center">60.00</td>
<td valign="top" align="center">80.00</td>
<td valign="top" align="center">40.00</td>
<td valign="top" align="center">53.30</td>
<td valign="top" align="center">NR</td>
<td valign="top" align="center">NR</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>M stage</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left"> M0</td>
<td valign="top" align="center">97.10</td>
<td valign="top" align="center">97.70</td>
<td valign="top" align="center">91.30</td>
<td valign="top" align="center">94.30</td>
<td valign="top" align="center">84.74</td>
<td valign="top" align="center">90.98</td>
</tr>
<tr>
<td valign="top" align="left"> M1</td>
<td valign="top" align="center">53.80</td>
<td valign="top" align="center">67.10</td>
<td valign="top" align="center">38.50</td>
<td valign="top" align="center">48.00</td>
<td valign="top" align="center">28.80</td>
<td valign="top" align="center">36.00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>NR, not reached; OS, overall survival; DSS, disease-specific survival; HIV-associated CTCL, human immunodeficiency virus associated cutaneous T-Cell lymphoma.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Since the introduction of highly active antiretroviral therapy (HAART) in 1996, the life expectancy of HIV-infected patients has increased significantly, thereby increasing the likelihood of cancer in these patients (<xref ref-type="bibr" rid="B36">36</xref>). Studies have shown that despite HAART is used in HIV/AIDS patients in nearly 10 years, the survival rate of patients with HIV-related lymphoma is still poor (<xref ref-type="bibr" rid="B37">37</xref>). In this study, chemotherapy and radiotherapy were related with OS and DSS in patients with HIV-associated CTCL, but significantly decreased OS and DSS in patients, which was different from previously reported results. The prognosis of patients with HIV infection-associated tumors after chemotherapy and/or radiotherapy is related to their immune status, and lower CD4 counts in patients after treatment are associated with an increased risk of death (<xref ref-type="bibr" rid="B38">38</xref>). Another study showed that HIV patients with a CD4 count &lt;200 cells/&#x3bc;L before treatment had an increased likelihood of toxicity after chemotherapy and radiation therapy, which may affect patient survival (<xref ref-type="bibr" rid="B39">39</xref>). Due to the lack of patient CD4 count information in this study, and the patient&#x2019;s specific chemotherapy and radiotherapy regimens cannot be obtained from the SEER database, the results of this study may be biased. Mehta-Shah et&#xa0;al. recommended that patients with early CTCL disease and skin involvement use skin-directed therapies (such as local therapy, phototherapy, radiation therapy, total skin electron beam therapy) without major cumulative toxicity, while systemic therapy (brentuximab vedotin, romidepsin, bexarotene, pralatrexate, vorinostat, methotrexate, mogamulizumab, alemtuzumab, and pembrolizumab) be required for patients with advanced disease. Systemic treatments can be combined with skin directed treatments to provide maximum cumulative efficacy without cumulative toxicity (<xref ref-type="bibr" rid="B40">40</xref>). Recent studies have revealed that ectopic expression of paternally expressed gene 10 (PEG10) in large cell transformation (LCT) malignant T cells and suggested that PEG10 inhibition may serve as a promising therapeutic approach for patients with advanced CTCL (<xref ref-type="bibr" rid="B41">41</xref>). Nowadays, for patients with CTCL, allogeneic hematopoietic stem cell transplantation has been the only curative treatment (<xref ref-type="bibr" rid="B42">42</xref>). However, there is currently no large-sample randomized controlled trial to verify the specific treatment options for patients with HIV-associated CTCL, and further research on related treatment strategies is needed.</p>
<p>Nomogram converts scores for several independent variables into visual graphs, making the results of predictive models more readable and facilitating the assessment of individualized patient risk (<xref ref-type="bibr" rid="B43">43</xref>). The nomogram is increasingly being used for prognostic assessment of cancer patients (<xref ref-type="bibr" rid="B44">44</xref>). In this study, based on the results of univariate and multivariate COX regression analysis, we finally included &#x201c;Age&#x201d;, &#x201c;Radiation&#x201d;, &#x201c;Chemotherapy&#x201d;, &#x201c;Summary stage&#x201d;, &#x201c;Sequence number&#x201d; indicators to establish the nomogram of OS and DSS of patients. The C-index of the nomograms used to predict the OS and DSS of patients in the training cohort was 0.78 and 0.848, respectively, indicating that the model has good discrimination. The calibration plot also showed the consistency between the predicted and actual results of OS and DSS in two cohorts. All of these results suggested that the nomograms we constructed had good clinical predictive value.</p>
<p>Nevertheless, there exist some limitations in this study. Firstly, this study was conducted by retrospectively analyzing the information in the SEER database, thus making it impossible to guarantee the completeness and homogeneity of the data and inevitably influencing the choice of patients. Secondly, the SEER database only provides general information about the patients and the relevant treatment modalities, and does not provide information about the patients&#x2019; specific treatments such as chemotherapy and radiotherapy, which may lead to a certain degree of bias in the study results. Finally, although our study showed that the constructed model had positive predictive value, external validation in prospective clinical trials is still needed. Despite these limitations, we have determined the epidemiological characteristics, independent prognostic factors, and information on OS and DSS of patients with HIV-associated CTCL.</p>
</sec>
<sec id="s5">
<title>Conclusions</title>
<p>Our study shows that HIV-associated CTCL is very rare, and the incidence has been on the rise in the last decade or so. We determined the demographic, clinical characteristics and survival-related prognostic factors of patients with HIV-associated CTCL, and constructed and validated nomograms of OS, DSS of patients at different time points. The nomograms can help clinicians to better identify the individual risks of patients and accurately assess the prognosis of patients.</p>
</sec>
<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/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author Contributions</title>
<p>ZY, YS, and QH conceived the study idea, and performed interpretation, manuscript writing, and final approval. DG and FH performed the data analysis and collection, as well as language polishing. All authors reviewed and approved the final version of the manuscript.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by Hubei Province Health and Family Planning Scientific Research Project (WJ2021M261 to YS) and the Natural Science Foundation of Hubei Province (2019CFB567 to YS).</p>
</sec>
<sec id="s9" 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="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We would like to thank the SEER database working group for their valuable contributions to this research. Research data is collected and managed using SEER*Stat software (Version 8.3.9.1; National Cancer Institute, Surveillance Research Program).</p>
</ack>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2022.847710/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2022.847710/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_2.docx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shiels</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Pfeiffer</surname> <given-names>RM</given-names>
</name>
<name>
<surname>Gail</surname> <given-names>MH</given-names>
</name>
<name>
<surname>Hall</surname> <given-names>HI</given-names>
</name>
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Chaturvedi</surname> <given-names>AK</given-names>
</name>
<etal/>
</person-group>. <article-title>Cancer Burden in the HIV-Infected Population in the United States</article-title>. <source>J Natl Cancer Inst</source> (<year>2011</year>) <volume>103</volume>(<issue>9</issue>):<page-range>753&#x2013;62</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/jnci/djr076</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Grulich</surname> <given-names>AE</given-names>
</name>
<name>
<surname>van Leeuwen</surname> <given-names>MT</given-names>
</name>
<name>
<surname>Falster</surname> <given-names>MO</given-names>
</name>
<name>
<surname>Vajdic</surname> <given-names>CM</given-names>
</name>
</person-group>. <article-title>Incidence of Cancers in People With HIV/AIDS Compared With Immunosuppressed Transplant Recipients: A Meta-Analysis</article-title>. <source>Lancet</source> (<year>2007</year>) <volume>370</volume>(<issue>9581</issue>):<fpage>59</fpage>&#x2013;<lpage>67</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S0140-6736(07)61050-2</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Horner</surname> <given-names>MJ</given-names>
</name>
<name>
<surname>Shiels</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Pfeiffer</surname> <given-names>RM</given-names>
</name>
<name>
<surname>Engels</surname> <given-names>EA</given-names>
</name>
</person-group>. <article-title>Deaths Attributable to Cancer in the US Human Immunodeficiency Virus Population During 2001-2015</article-title>. <source>Clin Infect Dis</source> (<year>2021</year>) <volume>72</volume>(<issue>9</issue>):<page-range>e224&#x2013;31</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/cid/ciaa1016</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Howlader</surname> <given-names>N</given-names>
</name>
<name>
<surname>Shiels</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Mariotto</surname> <given-names>AB</given-names>
</name>
<name>
<surname>Engels</surname> <given-names>EA</given-names>
</name>
</person-group>. <article-title>Contributions of HIV to Non-Hodgkin Lymphoma Mortality Trends in the United States</article-title>. <source>Cancer Epidemiol Biomarkers Prev</source> (<year>2016</year>) <volume>25</volume>(<issue>9</issue>):<page-range>1289&#x2013;96</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1158/1055-9965.EPI-16-0273</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Korgavkar</surname> <given-names>K</given-names>
</name>
<name>
<surname>Xiong</surname> <given-names>M</given-names>
</name>
<name>
<surname>Weinstock</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Changing Incidence Trends of Cutaneous T-Cell Lymphoma</article-title>. <source>JAMA Dermatol</source> (<year>2013</year>) <volume>149</volume>(<issue>11</issue>):<page-range>1295&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jamadermatol.2013.5526</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Criscione</surname> <given-names>VD</given-names>
</name>
<name>
<surname>Weinstock</surname> <given-names>MA</given-names>
</name>
</person-group>. <article-title>Incidence of Cutaneous T-Cell Lymphoma in the United States, 1973-2002</article-title>. <source>Arch Dermatol</source> (<year>2007</year>) <volume>143</volume>(<issue>7</issue>):<page-range>854&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/archderm.143.7.854</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Larocca</surname> <given-names>C</given-names>
</name>
<name>
<surname>Kupper</surname> <given-names>T</given-names>
</name>
</person-group>. <article-title>Mycosis Fungoides and Sezary Syndrome: An Update</article-title>. <source>Hematol Oncol Clin North Am</source> (<year>2019</year>) <volume>33</volume>(<issue>1</issue>):<page-range>103&#x2013;20</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.hoc.2018.09.001</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Liang</surname> <given-names>R</given-names>
</name>
<name>
<surname>Hao</surname> <given-names>C</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>X</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>N</given-names>
</name>
<name>
<surname>Duan</surname> <given-names>X</given-names>
</name>
<etal/>
</person-group>. <article-title>Survival Outcomes of Primary Cutaneous T-Cell Lymphoma in HIV-Infected Patients: A National Population-Based Study</article-title>. <source>J Investig Med</source> (<year>2018</year>) <volume>66</volume>(<issue>4</issue>):<page-range>762&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/jim-2017-000636</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="web">
<source>Surveillance, Epidemiology, and End Results (SEER) Program</source>. Available at: <uri xlink:href="http://www.seer.cancer.gov">www.seer.cancer.gov</uri>.</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Girardi</surname> <given-names>M</given-names>
</name>
<name>
<surname>Heald</surname> <given-names>PW</given-names>
</name>
<name>
<surname>Wilson</surname> <given-names>LD</given-names>
</name>
</person-group>. <article-title>The Pathogenesis of Mycosis Fungoides</article-title>. <source>N&#xa0;Engl J Med</source> (<year>2004</year>) <volume>350</volume>(<issue>19</issue>):<page-range>1978&#x2013;88</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMra032810</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ghazawi</surname> <given-names>FM</given-names>
</name>
<name>
<surname>Alghazawi</surname> <given-names>N</given-names>
</name>
<name>
<surname>Le</surname> <given-names>M</given-names>
</name>
<name>
<surname>Netchiporouk</surname> <given-names>E</given-names>
</name>
<name>
<surname>Glassman</surname> <given-names>SJ</given-names>
</name>
<name>
<surname>Sasseville</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Environmental and Other Extrinsic Risk Factors Contributing to the Pathogenesis of Cutaneous T Cell Lymphoma (CTCL)</article-title>. <source>Front Oncol</source> (<year>2019</year>) <volume>9</volume>:<elocation-id>300</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fonc.2019.00300</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wilson</surname> <given-names>LD</given-names>
</name>
<name>
<surname>Hinds</surname> <given-names>GA</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>JB</given-names>
</name>
</person-group>. <article-title>Age, Race, Sex, Stage, and Incidence of Cutaneous Lymphoma</article-title>. <source>Clin Lymphoma Myeloma Leuk</source> (<year>2012</year>) <volume>12</volume>(<issue>5</issue>):<page-range>291&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.clml.2012.06.010</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Burns</surname> <given-names>MK</given-names>
</name>
<name>
<surname>Cooper</surname> <given-names>KD</given-names>
</name>
</person-group>. <article-title>Cutaneous T-Cell Lymphoma Associated With HIV Infection</article-title>. <source>J Am Acad Dermatol</source> (<year>1993</year>) <volume>29</volume>(<issue>3</issue>):<page-range>394&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/0190-9622(93)70201-4</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Agar</surname> <given-names>NS</given-names>
</name>
<name>
<surname>Wedgeworth</surname> <given-names>E</given-names>
</name>
<name>
<surname>Crichton</surname> <given-names>S</given-names>
</name>
<name>
<surname>Mitchell</surname> <given-names>TJ</given-names>
</name>
<name>
<surname>Cox</surname> <given-names>M</given-names>
</name>
<name>
<surname>Ferreira</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Survival Outcomes and Prognostic Factors in Mycosis Fungoides/Sezary Syndrome: Validation of the Revised International Society for Cutaneous Lymphomas/European Organisation for Research and Treatment of Cancer Staging Proposal</article-title>. <source>J Clin Oncol</source> (<year>2010</year>) <volume>28</volume>(<issue>31</issue>):<page-range>4730&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1200/JCO.2009.27.7665</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Imam</surname> <given-names>MH</given-names>
</name>
<name>
<surname>Shenoy</surname> <given-names>PJ</given-names>
</name>
<name>
<surname>Flowers</surname> <given-names>CR</given-names>
</name>
<name>
<surname>Phillips</surname> <given-names>A</given-names>
</name>
<name>
<surname>Lechowicz</surname> <given-names>MJ</given-names>
</name>
</person-group>. <article-title>Incidence and Survival Patterns of Cutaneous T-Cell Lymphomas in the United States</article-title>. <source>Leuk Lymphoma</source> (<year>2013</year>) <volume>54</volume>(<issue>4</issue>):<page-range>752&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3109/10428194.2012.729831</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Tomihara</surname> <given-names>K</given-names>
</name>
<name>
<surname>Curiel</surname> <given-names>TJ</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>B</given-names>
</name>
</person-group>. <article-title>Optimization of Immunotherapy in Elderly Cancer Patients</article-title>. <source>Crit Rev Oncog</source> (<year>2013</year>) <volume>18</volume>(<issue>6</issue>):<page-range>573&#x2013;83</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1615/critrevoncog.2013010591</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hoeijmakers</surname> <given-names>JH</given-names>
</name>
</person-group>. <article-title>DNA Damage, Aging, and Cancer</article-title>. <source>N Engl J Med</source> (<year>2009</year>) <volume>361</volume>(<issue>15</issue>):<page-range>1475&#x2013;85</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1056/NEJMra0804615</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wing</surname> <given-names>EJ</given-names>
</name>
</person-group>. <article-title>HIV And Aging</article-title>. <source>Int J Infect Dis</source> (<year>2016</year>) <volume>53</volume>:<page-range>61&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ijid.2016.10.004</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kendal</surname> <given-names>WS</given-names>
</name>
</person-group>. <article-title>Dying With Cancer: The Influence of Age, Comorbidity, and Cancer Site</article-title>. <source>Cancer-Am Cancer Soc</source> (<year>2008</year>) <volume>112</volume>(<issue>6</issue>):<page-range>1354&#x2013;62</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/cncr.23315</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Horesh</surname> <given-names>N</given-names>
</name>
<name>
<surname>Horowitz</surname> <given-names>NA</given-names>
</name>
</person-group>. <article-title>Does Gender Matter in non-Hodgkin Lymphoma? Differences in Epidemiology, Clinical Behavior, and Therapy</article-title>. <source>Rambam Maimonides Med J</source> (<year>2014</year>) <volume>5</volume>(<issue>4</issue>):<fpage>e38</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.5041/RMMJ.10172</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sarkozy</surname> <given-names>C</given-names>
</name>
<name>
<surname>Mounier</surname> <given-names>N</given-names>
</name>
<name>
<surname>Delmer</surname> <given-names>A</given-names>
</name>
<name>
<surname>Van Hoof</surname> <given-names>A</given-names>
</name>
<name>
<surname>Karsenti</surname> <given-names>JM</given-names>
</name>
<name>
<surname>Fleck</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>Impact of BMI and Gender on Outcomes in DLBCL Patients Treated With R-CHOP: A Pooled Study From the LYSA</article-title>. <source>Lymphoma</source> (<year>2014</year>) <volume>2014</volume>:<fpage>1</fpage>&#x2013;<lpage>12</lpage>. doi: <pub-id pub-id-type="doi">10.1155/2014/205215</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>F</given-names>
</name>
<name>
<surname>Xie</surname> <given-names>X</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Jiang</surname> <given-names>G</given-names>
</name>
<name>
<surname>Gu</surname> <given-names>J</given-names>
</name>
</person-group>. <article-title>The Influence of Marital Status on the Survival of Patients With Hodgkin Lymphoma</article-title>. <source>Oncotarget</source> (<year>2017</year>) <volume>8</volume>(<issue>31</issue>):<page-range>51016&#x2013;23</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.18632/oncotarget.16879</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jensen</surname> <given-names>RE</given-names>
</name>
<name>
<surname>Arora</surname> <given-names>NK</given-names>
</name>
<name>
<surname>Bellizzi</surname> <given-names>KM</given-names>
</name>
<name>
<surname>Rowland</surname> <given-names>JH</given-names>
</name>
<name>
<surname>Hamilton</surname> <given-names>AS</given-names>
</name>
<name>
<surname>Aziz</surname> <given-names>NM</given-names>
</name>
<etal/>
</person-group>. <article-title>Health-Related Quality of Life Among Survivors of Aggressive non-Hodgkin Lymphoma</article-title>. <source>Cancer-Am Cancer Soc</source> (<year>2013</year>) <volume>119</volume>(<issue>3</issue>):<page-range>672&#x2013;80</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/cncr.27781</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Amber</surname> <given-names>KT</given-names>
</name>
<name>
<surname>Bloom</surname> <given-names>R</given-names>
</name>
<name>
<surname>Nouri</surname> <given-names>K</given-names>
</name>
</person-group>. <article-title>Second Primary Malignancies in CTCL Patients From 1992 to 2011: A SEER-Based, Population-Based Study Evaluating Time From CTCL Diagnosis, Age, Sex, Stage, and CD30+ Subtype</article-title>. <source>Am J Clin Dermatol</source> (<year>2016</year>) <volume>17</volume>(<issue>1</issue>):<page-range>71&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s40257-015-0155-3</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bradford</surname> <given-names>PT</given-names>
</name>
<name>
<surname>Devesa</surname> <given-names>SS</given-names>
</name>
<name>
<surname>Anderson</surname> <given-names>WF</given-names>
</name>
<name>
<surname>Toro</surname> <given-names>JR</given-names>
</name>
</person-group>. <article-title>Cutaneous Lymphoma Incidence Patterns in the United States: A Population-Based Study of 3884 Cases</article-title>. <source>Blood</source> (<year>2009</year>) <volume>113</volume>(<issue>21</issue>):<page-range>5064&#x2013;73</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood-2008-10-184168</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Willemze</surname> <given-names>R</given-names>
</name>
<name>
<surname>Jaffe</surname> <given-names>ES</given-names>
</name>
<name>
<surname>Burg</surname> <given-names>G</given-names>
</name>
<name>
<surname>Cerroni</surname> <given-names>L</given-names>
</name>
<name>
<surname>Berti</surname> <given-names>E</given-names>
</name>
<name>
<surname>Swerdlow</surname> <given-names>SH</given-names>
</name>
<etal/>
</person-group>. <article-title>WHO-EORTC Classification for Cutaneous Lymphomas</article-title>. <source>Blood</source> (<year>2005</year>) <volume>105</volume>(<issue>10</issue>):<page-range>3768&#x2013;85</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood-2004-09-3502</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dobos</surname> <given-names>G</given-names>
</name>
<name>
<surname>Pohrt</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ram-Wolff</surname> <given-names>C</given-names>
</name>
<name>
<surname>Lebbe</surname> <given-names>C</given-names>
</name>
<name>
<surname>Bouaziz</surname> <given-names>JD</given-names>
</name>
<name>
<surname>Battistella</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Epidemiology of Cutaneous T-Cell Lymphomas: A Systematic Review and Meta-Analysis of 16,953 Patients</article-title>. <source>Cancers (Basel)</source> (<year>2020</year>) <volume>12</volume>(<issue>10</issue>):<fpage>2921</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.3390/cancers12102921</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lee</surname> <given-names>BN</given-names>
</name>
<name>
<surname>Duvic</surname> <given-names>M</given-names>
</name>
<name>
<surname>Tang</surname> <given-names>CK</given-names>
</name>
<name>
<surname>Bueso-Ramos</surname> <given-names>C</given-names>
</name>
<name>
<surname>Estrov</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Reuben</surname> <given-names>JM</given-names>
</name>
</person-group>. <article-title>Dysregulated Synthesis of Intracellular Type 1 and Type 2 Cytokines by T Cells of Patients With Cutaneous T-Cell Lymphoma</article-title>. <source>Clin Diagn Lab Immunol</source> (<year>1999</year>) <volume>6</volume>(<issue>1</issue>):<fpage>79</fpage>&#x2013;<lpage>84</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1128/CDLI.6.1.79-84.1999</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Goyal</surname> <given-names>A</given-names>
</name>
<name>
<surname>O&#x2019;Leary</surname> <given-names>D</given-names>
</name>
<name>
<surname>Goyal</surname> <given-names>K</given-names>
</name>
<name>
<surname>Rubin</surname> <given-names>N</given-names>
</name>
<name>
<surname>Bohjanen</surname> <given-names>K</given-names>
</name>
<name>
<surname>Hordinsky</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Increased Risk of Second Primary Hematologic and Solid Malignancies in Patients With Mycosis Fungoides: A Surveillance, Epidemiology, and End Results Analysis</article-title>. <source>J Am Acad Dermatol</source> (<year>2020</year>) <volume>83</volume>(<issue>2</issue>):<page-range>404&#x2013;11</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jaad.2019.07.075</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Olsen</surname> <given-names>E</given-names>
</name>
<name>
<surname>Vonderheid</surname> <given-names>E</given-names>
</name>
<name>
<surname>Pimpinelli</surname> <given-names>N</given-names>
</name>
<name>
<surname>Willemze</surname> <given-names>R</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Knobler</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Revisions to the Staging and Classification of Mycosis Fungoides and Sezary Syndrome: A Proposal of the International Society for Cutaneous Lymphomas (ISCL) and the Cutaneous Lymphoma Task Force of the European Organization of Research and Treatment of Cancer (EORTC)</article-title>. <source>Blood</source> (<year>2007</year>) <volume>110</volume>(<issue>6</issue>):<page-range>1713&#x2013;22</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood-2007-03-055749</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Amrita</surname> <given-names>K</given-names>
</name>
<name>
<surname>Joycelynne</surname> <given-names>MP</given-names>
</name>
<name>
<surname>John</surname> <given-names>AZ</given-names>
</name>
<name>
<surname>Ni-Chun</surname> <given-names>T</given-names>
</name>
<name>
<surname>Joseph</surname> <given-names>A</given-names>
</name>
<name>
<surname>Stephen</surname> <given-names>JF</given-names>
</name>
</person-group>. <article-title>HIV Status Does Not Affect the Outcome of Autologous Stem Cell Transplantation (ASCT) for Non-Hodgkin Lymphoma (NHL)</article-title>. <source>Biol Blood Marrow Tr</source> (<year>2010</year>) <volume>16</volume>(<issue>9</issue>):<page-range>1302&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.bbmt.2010.03.019</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vaccher</surname> <given-names>E</given-names>
</name>
<name>
<surname>Spina</surname> <given-names>M</given-names>
</name>
<name>
<surname>Talamini</surname> <given-names>R</given-names>
</name>
<name>
<surname>Zanetti</surname> <given-names>M</given-names>
</name>
<name>
<surname>di Gennaro</surname> <given-names>G</given-names>
</name>
<name>
<surname>Nasti</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>Improvement of Systemic Human Immunodeficiency Virus-Related non-Hodgkin Lymphoma Outcome in the Era of Highly Active Antiretroviral Therapy</article-title>. <source>Clin Infect Dis</source> (<year>2003</year>) <volume>37</volume>:<page-range>1556&#x2013;64</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1086/379517</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Coutinho</surname> <given-names>R</given-names>
</name>
<name>
<surname>Pria</surname> <given-names>AD</given-names>
</name>
<name>
<surname>Gandhi</surname> <given-names>S</given-names>
</name>
<name>
<surname>Bailey</surname> <given-names>K</given-names>
</name>
<name>
<surname>Fields</surname> <given-names>P</given-names>
</name>
<name>
<surname>Cwynarski</surname> <given-names>K</given-names>
</name>
<etal/>
</person-group>. <article-title>HIV Status Does Not Impair the Outcome of Patients Diagnosed With Diffuse Large B-Cell Lymphoma Treated With R-CHOP in the cART Era</article-title>. <source>Aids</source> (<year>2014</year>) <volume>28</volume>:<page-range>689&#x2013;97</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/QAD.0000000000000133</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Vasseur</surname> <given-names>L</given-names>
</name>
<name>
<surname>Prevot</surname> <given-names>S</given-names>
</name>
<name>
<surname>Mounier</surname> <given-names>N</given-names>
</name>
<name>
<surname>Costagliola</surname> <given-names>D</given-names>
</name>
<name>
<surname>Besson</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>Favorable Outcome of HIV-Associated Burkitt Lymphoma in the Modern Combined Antiretroviral Therapy Era</article-title>. <source>Eur J Cancer</source> (<year>2020</year>) <volume>138</volume>:<page-range>189&#x2013;92</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ejca.2020.07.033</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Besson</surname> <given-names>C</given-names>
</name>
<name>
<surname>Lancar</surname> <given-names>R</given-names>
</name>
<name>
<surname>Prevot</surname> <given-names>S</given-names>
</name>
<name>
<surname>Algarte-Genin</surname> <given-names>M</given-names>
</name>
<name>
<surname>Delobel</surname> <given-names>P</given-names>
</name>
<name>
<surname>Bonnet</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Outcomes for HIV-Associated Diffuse Large B-Cell Lymphoma in the Modern Combined Antiretroviral Therapy Era</article-title>. <source>Aids</source> (<year>2017</year>) <volume>31</volume>:<page-range>2493&#x2013;501</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1097/QAD.0000000000001652</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Adam</surname> <given-names>T</given-names>
</name>
<name>
<surname>Margaret</surname> <given-names>TM</given-names>
</name>
<name>
<surname>Jorg-Janne</surname> <given-names>V</given-names>
</name>
<name>
<surname>Niels</surname> <given-names>O</given-names>
</name>
<name>
<surname>JG</surname> <given-names>M</given-names>
</name>
<name>
<surname>MC</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Survival of HIV-Positive Patients Starting Antiretroviral Therapy Between 1996 and 2013: A Collaborative Analysis of Cohort Studies</article-title>. <source>Lancet HIV</source> (<year>2017</year>) <volume>4</volume>(<issue>8</issue>):<page-range>e349&#x2013;56</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S2352-3018(17)30066-8</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Han</surname> <given-names>X</given-names>
</name>
<name>
<surname>Jemal</surname> <given-names>A</given-names>
</name>
<name>
<surname>Hulland</surname> <given-names>E</given-names>
</name>
<name>
<surname>Simard</surname> <given-names>EP</given-names>
</name>
<name>
<surname>Nastoupil</surname> <given-names>L</given-names>
</name>
<name>
<surname>Ward</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>HIV Infection and Survival of Lymphoma Patients in the Era of Highly Active Antiretroviral Therapy</article-title>. <source>Cancer Epidemiol Biomarkers Prev</source> (<year>2017</year>) <volume>26</volume>(<issue>3</issue>):<page-range>303&#x2013;11</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1158/1055-9965.EPI-16-0595</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Calkins</surname> <given-names>KL</given-names>
</name>
<name>
<surname>Chander</surname> <given-names>G</given-names>
</name>
<name>
<surname>Joshu</surname> <given-names>CE</given-names>
</name>
<name>
<surname>Visvanathan</surname> <given-names>K</given-names>
</name>
<name>
<surname>Fojo</surname> <given-names>AT</given-names>
</name>
<name>
<surname>Lesko</surname> <given-names>CR</given-names>
</name>
<etal/>
</person-group>. <article-title>Immune Status and Associated Mortality After Cancer Treatment Among Individuals With HIV in the Antiretroviral Therapy Era</article-title>. <source>JAMA Oncol</source> (<year>2020</year>) <volume>6</volume>:<page-range>227&#x2013;35</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jamaoncol.2019.4648</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Alongi</surname> <given-names>F</given-names>
</name>
<name>
<surname>Giaj-Levra</surname> <given-names>N</given-names>
</name>
<name>
<surname>Sciascia</surname> <given-names>S</given-names>
</name>
<name>
<surname>Fozza</surname> <given-names>A</given-names>
</name>
<name>
<surname>Fersino</surname> <given-names>S</given-names>
</name>
<name>
<surname>Fiorentino</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Radiotherapy in Patients With HIV: Current Issues and Review of the Literature</article-title>. <source>Lancet Oncol</source> (<year>2017</year>) <volume>18</volume>(<issue>7</issue>):<page-range>e379&#x2013;93</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S1470-2045(17)30440-0</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mehta-Shah</surname> <given-names>N</given-names>
</name>
<name>
<surname>Horwitz</surname> <given-names>SM</given-names>
</name>
<name>
<surname>Ansell</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ai</surname> <given-names>WZ</given-names>
</name>
<name>
<surname>Barnes</surname> <given-names>J</given-names>
</name>
<name>
<surname>Barta</surname> <given-names>SK</given-names>
</name>
<etal/>
</person-group>. <article-title>NCCN Guidelines Insights: Primary Cutaneous Lymphomas, Version 2.2020</article-title>. <source>J Natl Compr Canc Netw</source> (<year>2020</year>) <volume>18</volume>(<issue>5</issue>):<page-range>522&#x2013;36</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.6004/jnccn.2020.0022</pub-id>
</citation>
</ref>
<ref id="B41">
<label>41</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>F</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>B</given-names>
</name>
<name>
<surname>Xiong</surname> <given-names>S</given-names>
</name>
<name>
<surname>Yi</surname> <given-names>S</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>PEG10 Amplification at 7q21.3 Potentiates Large-Cell Transformation in Cutaneous T-Cell Lymphoma</article-title>. <source>Blood</source> (<year>2021</year>) <volume>139</volume>(<issue>4</issue>):<page-range>554&#x2013;71</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood.2021012091</pub-id>
</citation>
</ref>
<ref id="B42">
<label>42</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dummer</surname> <given-names>R</given-names>
</name>
<name>
<surname>Vermeer</surname> <given-names>MH</given-names>
</name>
<name>
<surname>Scarisbrick</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>Kim</surname> <given-names>YH</given-names>
</name>
<name>
<surname>Stonesifer</surname> <given-names>C</given-names>
</name>
<name>
<surname>Tensen</surname> <given-names>CP</given-names>
</name>
<etal/>
</person-group>. <article-title>Cutaneous T Cell Lymphoma</article-title>. <source>Nat Rev Dis Primers</source> (<year>2021</year>) <volume>7</volume>(<issue>1</issue>):<fpage>61</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/s41572-021-00296-9</pub-id>
</citation>
</ref>
<ref id="B43">
<label>43</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Park</surname> <given-names>SY</given-names>
</name>
</person-group>. <article-title>Nomogram: An Analogue Tool to Deliver Digital Knowledge</article-title>. <source>J&#xa0;Thorac Cardiovasc Surg</source> (<year>2018</year>) <volume>155</volume>(<issue>4</issue>):<fpage>1793</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jtcvs.2017.12.107</pub-id>
</citation>
</ref>
<ref id="B44">
<label>44</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Balachandran</surname> <given-names>VP</given-names>
</name>
<name>
<surname>Gonen</surname> <given-names>M</given-names>
</name>
<name>
<surname>Smith</surname> <given-names>JJ</given-names>
</name>
<name>
<surname>DeMatteo</surname> <given-names>RP</given-names>
</name>
</person-group>. <article-title>Nomograms in Oncology: More Than Meets the Eye</article-title>. <source>Lancet Oncol</source> (<year>2015</year>) <volume>16</volume>(<issue>4</issue>):<page-range>e173&#x2013;80</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S1470-2045(14)71116-7</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>