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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.2022.846760</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>A Cohort Study: Comorbidity and Stage Affected the Prognosis of Melanoma Patients in Taiwan</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chang</surname>
<given-names>Chin-Kuo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1613852"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hsieh</surname>
<given-names>Yih-Shou</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Pei-Ni</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/999309"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chu</surname>
<given-names>Shu-Chen</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/136487"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Huang</surname>
<given-names>Jing-Yang</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/848764"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Yu-Hsun</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/956115"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wei</surname>
<given-names>James Cheng-Chung</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/388188"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Institute of Medicine, Chung Shan Medical University</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Biochemistry, School of Medicine, Chung Shan Medical University</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Institute and Department of Food Science, Central Taiwan University of Science and Technology</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Center for Health Data Science, Chung Shan Medical University Hospital</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Medical Research, Chung Shan Medical University Hospital</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Division of Allergy, Immunology and Rheumatology, Chung Shan Medical University Hospital</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Graduate Institute of Integrated Medicine, China Medical University</institution>, <addr-line>Taichung</addr-line>, <country>Taiwan</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Nabiha Yusuf, University of Alabama at Birmingham, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Yu-Fang Shen, Asia University, Taiwan; Yao Min Hung, Kaohsiung Municipal United Hospital, Taiwan; Wen-Yih Jeng, National Cheng Kung University, Taiwan</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: James Cheng-Chung Wei, <email xlink:href="mailto:jccwei@gmail.com">jccwei@gmail.com</email>
</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>03</day>
<month>03</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>846760</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>12</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>02</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Chang, Hsieh, Chen, Chu, Huang, Wang and Wei</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Chang, Hsieh, Chen, Chu, Huang, Wang and Wei</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>Comorbidities and stages may influence the prognosis of melanoma patients in Taiwan and need to be determined.</p>
</sec>
<sec>
<title>Methods</title>
<p>We performed a retrospective cohort study by using the national health insurance research database in Taiwan. Patients with a primary diagnosis of melanoma by the Taiwan Cancer Registry from 2009 to 2017 were recruited as the study population. The comparison group was never diagnosed with melanoma from 2000 to 2018. The Charlson comorbidity index was conducted to calculate the subjects&#x2019; disease severity. The Cox proportional hazards model analysis was used to estimate the hazard ratio of death.</p>
</sec>
<sec>
<title>Results</title>
<p>We selected 476 patients, 55.5% of whom had comorbidity. A higher prevalence of comorbidity was associated with a more advanced cancer stage. The mortality rate increased with an increasing level of comorbidity in both cohorts and was higher among melanoma patients. The interaction between melanoma and comorbidity resulted in an increased mortality rate.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>An association between poorer survival and comorbidity was verified in this study. We found that the level of comorbidity was strongly associated with mortality. A higher risk of mortality was found in patients who had localized tumors, regional metastases, or distant metastases with more comorbidity scores. Advanced stage of melanoma patients with more comorbidities was significantly associated with the higher risk of mortality rate.</p>
</sec>
</abstract>
<kwd-group>
<kwd>melanoma</kwd>
<kwd>comorbidity</kwd>
<kwd>stage</kwd>
<kwd>mortality rate</kwd>
<kwd>survival</kwd>
<kwd>prognosis</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="52"/>
<page-count count="10"/>
<word-count count="4829"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Cutaneous melanoma is now regarded as the fifth most common cancer in the United States. It was estimated that there were approximately 96,480 new cases, and 7,230 deaths due to melanoma of the skin will be newly diagnosed in 2019 (<xref ref-type="bibr" rid="B1">1</xref>). Despite being the deadliest form of skin cancer with a high mortality rate, many melanoma patients are cured after surgical excision of their primary tumor at an early stage; however, some still relapse after surgical excision. It is locally invasive and frequently spread out to regional lymph nodes and remote organs, including lung, liver, bone, and brain (<xref ref-type="bibr" rid="B2">2</xref>). The most common risk factors for malignant melanoma include family history, multiple moles, ultraviolet radiation, fair skin, and immunosuppression (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>). The incidence rate of melanoma has been increasing by between 3% and 7% per year globally for Caucasians (<xref ref-type="bibr" rid="B5">5</xref>). The incidence rate (less than 1/100,000) was lower in residents of Asia, including China, India, Singapore, and Japan (<xref ref-type="bibr" rid="B6">6</xref>). In Taiwan, the age-adjusted rate in 2006 for aggressive melanoma was 0.65/100,000 (0.71/100,000 for men, and 0.58/100,000 for women). The age distribution plot showed a peak among melanoma patients aged 70&#x2013;79 years. According to the investigation of the incidence of melanoma from 1997 to 2008 by year and sex, the yearly incidence ranged from 0.66 to 1.24 (mean: 0.9) cases per 100,000 people in Taiwan (<xref ref-type="bibr" rid="B7">7</xref>). Excessive exposure to ultraviolet radiation is not the risk factor for most Taiwanese melanoma cases. In addition, 58% of cutaneous melanoma belongs to acral lentiginous melanoma. Advanced disease is found in 50% of cases (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Studies on various prognostic factors affecting melanoma survival have been reported frequently. Age has been proven to be a very strong and independent predictor of survival outcome after accounting for all the dominant prognostic factors (<xref ref-type="bibr" rid="B9">9</xref>). Sentinel node biopsy is an important prognostic factor in melanoma (<xref ref-type="bibr" rid="B10">10</xref>). Lower socioeconomic status (SES) was associated with a decreased median survival time in a statistically significant amount for all stages of melanoma (<xref ref-type="bibr" rid="B11">11</xref>). Men have a greater risk of having advanced disease with a poorer outcome (<xref ref-type="bibr" rid="B12">12</xref>). Studies have shown that the presence of a melanoma on an axial site conferred a worse prognosis than an extremity site (<xref ref-type="bibr" rid="B9">9</xref>). Older age and advanced stage have significant negative effects on the survival of mucosal melanoma (<xref ref-type="bibr" rid="B13">13</xref>). The mitotic rate is a continuous prognostic variable. It is a strong independent predictor of outcome and should be assessed and recorded in all primary melanomas including in both initial and excision biopsies (<xref ref-type="bibr" rid="B14">14</xref>). Level of invasion has prognostic significance in univariate analysis and remains an independent predictor of outcome in more contemporary analyses. Clinical parameters such as age, sex, skin color, pigmentation status of the tumor, and site of the primary tumor play an important role for the outcome of patients. Ulceration is an adverse prognostic factor of melanoma (<xref ref-type="bibr" rid="B15">15</xref>). Stage and anatomic site, but not thickness (i.e., Breslow depth), race, or ethnicity, determine prognosis of mucosal melanomas (<xref ref-type="bibr" rid="B16">16</xref>). Stage, male gender, and age are associated with overall survival, along with SES and the presence of multiple comorbidities (<xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B19">19</xref>). Taken together, various prognostic factors affecting melanoma survival interact mostly synergistically. The prognostic influence of comorbidity and stage on melanoma has also caused many scientists to make many valuable reports. The prevalence of chronic disease in patients with melanoma varies from 19% to 80% (<xref ref-type="bibr" rid="B20">20</xref>). The presence of chronic conditions prevents physicians from aggressive treatment for melanoma patients, thereby increasing the mortality rate (<xref ref-type="bibr" rid="B20">20</xref>). The prevalence of multiple chronic conditions increased with age (<xref ref-type="bibr" rid="B21">21</xref>). The majority of studies from a systematic review reported decreased chemotherapy use (75%) and inferior survival (69%) for patients with comorbidities compared to those without comorbidities (<xref ref-type="bibr" rid="B22">22</xref>). Patient comorbidity has a substantial effect on the cancer stage at diagnosis (<xref ref-type="bibr" rid="B23">23</xref>). In a cohort study conducted using Danish registry data of 23,476 melanoma patients, Grann et&#xa0;al. (<xref ref-type="bibr" rid="B20">20</xref>) reported a higher prevalence of comorbidity associated with more advanced cancer stages. Similar results were acquired by Gonzalez et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>) using data from the Florida State Tumor Registry (N = 32,074) in 1994 on colorectal, melanoma, breast, and prostate cancers. Comorbidity was associated with late-stage diagnosis in all four cancers, with the odds of 62% for late-stage melanoma (<xref ref-type="bibr" rid="B24">24</xref>). In Taiwan, just a few reports paid attention to malignant melanoma (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B27">27</xref>). Our current study aims at clarifying how comorbidity and stage may affect the prognosis of Taiwan melanoma patients from 2009 to 2017.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Data Source</title>
<p>This study used the data from the National Health Insurance Research Database (NHIRD) and Taiwan Cancer Registry (TCR) that was constructed by the Health and Welfare Data Science Center (HWDSC). The NHIRD covered more than 99.99% of Taiwan&#x2019;s population of 23 million people in Taiwan. Two million beneficiaries were randomly sampled from the NHIRD in 2000. To protect patients&#x2019; privacy, according to the &#x201c;Personal Information Protection Act&#x201d; and &#x201c;Non-disclosure agreement of NHIRD,&#x201d; the original identification numbers were not disclosed. Data benefits include disease diagnosis of outpatient, inpatient, emergency medical claims, and cancer staging. The longitudinal characteristic of NHIRD allows researchers to identify a cohort based upon diagnoses and drug utilization, to trace the medical history, and to disclose clinical outcomes and related complications (<xref ref-type="bibr" rid="B28">28</xref>). TCR (<xref ref-type="bibr" rid="B29">29</xref>) is a nationwide population-based cancer registry system that provides detailed information on all cancer patients in Taiwan. Hospitals with more than 50-bed capacity that could supply outpatient and hospitalized cancer care are required to join in informing all newly diagnosed malignant neoplasms to the registry. In order to measure cancer care methods and treatment outcomes in Taiwan, the TCR constructed a long-form database with cancer staging and detailed treatment and recurrence information. Moreover, the long-form database included detailed information regarding cancer site-specific factors, such as laboratory values, tumor markers, and other clinical data related to patient care (<xref ref-type="bibr" rid="B30">30</xref>). The study had been approved by the ethical review board of the Chung Shan Medical University Hospital (CS1-20201) in Taiwan.</p>
</sec>
<sec id="s2_2">
<title>Study Design and Outcome</title>
<p>This study used a retrospective cohort study design. The study population was the primary site of melanoma (ICD-O-3=C44) from 2009 to 2017 in the TCR. The index date was admitted with the first diagnosis date of melanoma. The comparison group was defined as never diagnosis of melanoma (ICD-9-CM=172, ICD-10-CM=C439) from 2000 to 2018 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Due to the consistent index date between the melanoma group and the non-melanoma group, a 1:10 age and sex matching was conducted. The outcome variable was all-cause mortality. Both groups were followed up until the onset of death, or December 31, 2018, whichever occurred first.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Identified Melanoma and Non-melanoma groups.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-846760-g001.tif"/>
</fig>
<p>The demographic variables included age, sex, monthly income, and residential region. We classified diagnoses of chronic diseases into 17 categories based on a modified version of the Charlson comorbidity index (CCI) (<xref ref-type="bibr" rid="B31">31</xref>). The 1 score of weight included myocardial infarction, congestive heart failure, peripheral vascular disease, cerebrovascular disease, dementia, chronic pulmonary disease, connective tissue disease, peptic ulcer disease, mild liver disease, and diabetes without chronic complication. The 2 scores of weight included diabetes with chronic complication, hemiplegia or paraplegia, and renal disease. The 3 scores of weight included any malignancy, including lymphoma and leukemia, except malignant neoplasm of skin, and severe liver disease. The 6 scores of weight included metastatic solid tumor and AIDS/HIV (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table 1</bold>
</xref>). The higher CCI-weighted total score represented the higher severity of the disease. The baseline characteristics also included age, sex, hypertension (ICD-9-CM=401-405, ICD-10-CM=I10-I15), and hyperlipidemia (ICD-9-CM=272, ICD-10-CM=E78). Those comorbidities were defined 1 year before the index date and at least two outpatient visits or once hospitalization.</p>
</sec>
<sec id="s2_3">
<title>Statistical Analyses</title>
<p>The comparison of continuous and categorical variables was done using Student&#x2019;s t-test, chi-square test, or Fisher&#x2019;s exact test as appropriate between melanoma and non-melanoma groups. Kaplan&#x2013;Meier analysis was conducted to calculate the all-cause mortality among the two groups. The log-rank test was used to test the significance. The multivariate Cox proportional hazards model was used to estimate the hazard ratios (HRs) of death. We used a time-dependent variable to assess the proportional hazards assumption. The p value was 0.2805 that it did not violate the proportional hazards assumption. For the unmeasured confounding factor, we performed E-value to define the minimum strength of the association for an unmeasured confounding effect between melanoma and non-melanoma groups (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). The statistical software was SAS version 9.4 (SAS Institute Inc., NC, USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Study Population</title>
<p>We identified 476 melanoma patients and 4,760 members of the matched comparison cohort. The majority were men (56.7%), and more than half (85%) were older than 55 years. According to tumor stage, 52 (10.9%) <italic>in situ</italic>, 398 (83.6%) had a localized tumor, 8 (1.7%) had regional metastases, and 18 (3.8%) had distant metastases (<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 characteristics of melanoma and non-melanoma.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" colspan="2" align="center">Non-melanoma (N = 4,760)</th>
<th valign="top" colspan="2" align="center">Melanoma (N = 476)</th>
<th valign="top" align="center">p value</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">n</th>
<th valign="top" align="center">%</th>
<th valign="top" align="center">n</th>
<th valign="top" align="center">%</th>
<th valign="top" align="center">
</th>
</tr>
</thead>
<tbody>
<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"/>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264;54</td>
<td valign="top" align="center">710</td>
<td valign="top" align="center">14.9</td>
<td valign="top" align="center">71</td>
<td valign="top" align="center">14.9</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;55&#x2013;69</td>
<td valign="top" align="center">1,430</td>
<td valign="top" align="center">30.0</td>
<td valign="top" align="center">143</td>
<td valign="top" align="center">30.0</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;70</td>
<td valign="top" align="center">2,620</td>
<td valign="top" align="center">55.1</td>
<td valign="top" align="center">262</td>
<td valign="top" align="center">55.1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mean &#xb1; SD</td>
<td valign="top" colspan="2" align="center">69.91 &#xb1; 15.66</td>
<td valign="top" colspan="2" align="center">69.91 &#xb1; 15.67</td>
<td valign="top" align="center">1</td>
</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"/>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">2,060</td>
<td valign="top" align="center">43.3</td>
<td valign="top" align="center">206</td>
<td valign="top" align="center">43.3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">2,700</td>
<td valign="top" align="center">56.7</td>
<td valign="top" align="center">270</td>
<td valign="top" align="center">56.7</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Monthly income (NT$)</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">0.5469</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;20,000</td>
<td valign="top" align="center">1,527</td>
<td valign="top" align="center">32.1</td>
<td valign="top" align="center">144</td>
<td valign="top" align="center">30.3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;20,001&#x2013;40,000</td>
<td valign="top" align="center">2,349</td>
<td valign="top" align="center">49.3</td>
<td valign="top" align="center">235</td>
<td valign="top" align="center">49.4</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt;40,000</td>
<td valign="top" align="center">884</td>
<td valign="top" align="center">18.6</td>
<td valign="top" align="center">97</td>
<td valign="top" align="center">20.4</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Residential region</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">0.0014</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Northern</td>
<td valign="top" align="center">1,989</td>
<td valign="top" align="center">41.8</td>
<td valign="top" align="center">242</td>
<td valign="top" align="center">50.8</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Central</td>
<td valign="top" align="center">1,116</td>
<td valign="top" align="center">23.4</td>
<td valign="top" align="center">87</td>
<td valign="top" align="center">18.3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Southern</td>
<td valign="top" align="center">1,212</td>
<td valign="top" align="center">25.5</td>
<td valign="top" align="center">111</td>
<td valign="top" align="center">23.3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Others</td>
<td valign="top" align="center">443</td>
<td valign="top" align="center">9.3</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">7.6</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Stage of melanoma</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"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">52</td>
<td valign="top" align="center">10.9</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;I</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">292</td>
<td valign="top" align="center">61.3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;II</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">106</td>
<td valign="top" align="center">22.3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;III</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">8</td>
<td valign="top" align="center">1.7</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;IV</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">18</td>
<td valign="top" align="center">3.8</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hypertension</bold>
</td>
<td valign="top" align="center">1,997</td>
<td valign="top" align="center">42.0</td>
<td valign="top" align="center">242</td>
<td valign="top" align="center">50.8</td>
<td valign="top" align="center">0.0002</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Hyperlipidemia</bold>
</td>
<td valign="top" align="center">986</td>
<td valign="top" align="center">20.7</td>
<td valign="top" align="center">108</td>
<td valign="top" align="center">22.7</td>
<td valign="top" align="center">0.3123</td>
</tr>
<tr>
<td valign="top" colspan="6" align="left">
<bold>Categories of Charlson comorbidity index score</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Myocardial infarction</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">0.9</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">1.1</td>
<td valign="top" align="center">0.7854</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Congestive heart failure</td>
<td valign="top" align="center">197</td>
<td valign="top" align="center">4.1</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">2.9</td>
<td valign="top" align="center">0.205</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Peripheral vascular disease</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">1.2</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">1.7</td>
<td valign="top" align="center">0.3398</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Cerebrovascular</td>
<td valign="top" align="center">444</td>
<td valign="top" align="center">9.3</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">11.8</td>
<td valign="top" align="center">0.0845</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Dementia</td>
<td valign="top" align="center">175</td>
<td valign="top" align="center">3.7</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">3.8</td>
<td valign="top" align="center">0.9077</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Chronic pulmonary disease</td>
<td valign="top" align="center">484</td>
<td valign="top" align="center">10.2</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">13.2</td>
<td valign="top" align="center">0.0370</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Connective tissue disease</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">0.5</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.8</td>
<td valign="top" align="center">0.4176</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Peptic ulcer disease</td>
<td valign="top" align="center">473</td>
<td valign="top" align="center">9.9</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">12.2</td>
<td valign="top" align="center">0.1214</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Mild liver disease</td>
<td valign="top" align="center">187</td>
<td valign="top" align="center">3.9</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">6.9</td>
<td valign="top" align="center">0.0018</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Diabetes without chronic complication</td>
<td valign="top" align="center">820</td>
<td valign="top" align="center">17.2</td>
<td valign="top" align="center">83</td>
<td valign="top" align="center">17.4</td>
<td valign="top" align="center">0.9079</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Diabetes with chronic complication</td>
<td valign="top" align="center">244</td>
<td valign="top" align="center">5.1</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">5.5</td>
<td valign="top" align="center">0.7519</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Hemiplegia or paraplegia</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">0.4</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">0.6</td>
<td valign="top" align="center">0.4454&#xb6;</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Renal disease</td>
<td valign="top" align="center">310</td>
<td valign="top" align="center">6.5</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">8.6</td>
<td valign="top" align="center">0.0806</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Any malignancy</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">1.1</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">4.4</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Charlson comorbidity index score</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">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0</td>
<td valign="top" align="center">2,663</td>
<td valign="top" align="center">55.95</td>
<td valign="top" align="center">212</td>
<td valign="top" align="center">44.5</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1</td>
<td valign="top" align="center">1,024</td>
<td valign="top" align="center">21.51</td>
<td valign="top" align="center">126</td>
<td valign="top" align="center">26.5</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2</td>
<td valign="top" align="center">478</td>
<td valign="top" align="center">10.04</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">11.3</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;3</td>
<td valign="top" align="center">280</td>
<td valign="top" align="center">5.88</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">9.5</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;4</td>
<td valign="top" align="center">315</td>
<td valign="top" align="center">6.62</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">8.2</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>&#xb6;Fisher&#x2019;s exact test.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Prevalence of Comorbidities</title>
<p>Measurement of comorbidity resulted in 212 (44.5%) melanoma patients with comorbidity score 0, 126 patients (26.5%) with comorbidity score 1, and 54 (11.3%) with comorbidity score 2. In the more severe comorbidity categories, 45 (9.5%) had a comorbidity score 3, and 39 (8.2%) had a comorbidity score &#x2265;4. Diabetes without chronic complication was the most prevalent comorbidity, diagnosed in 83 patients (17.4%) (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Chronic pulmonary disease was diagnosed in 63 patients (13.2%), followed by peptic ulcer disease (58 patients, 12.2%). The majority of melanoma patients were diagnosed with the localized stage (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<title>All-Cause Mortality</title>
<p>The mortality rate of the melanoma group in the Kaplan&#x2013;Meier plot was significantly higher than that in the non-melanoma group (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The mortality rate increased with increasing comorbidity in both cohorts and was higher among melanoma patients (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The mortality rate for melanoma patients with comorbid score 1 was 57.42 per 1,000 person-years after diagnosis compared with 50.50 in the comparison cohort. In the most severe comorbidity group (&#x2265;4), the mortality rate was 147.21 per 1,000 person-years in the melanoma cohort compared with 149.43 in the comparison cohort. The mortality rate ratio (MRR) was 1.59 (95% CI: 1.28&#x2013;1.98). The number of melanoma patients at stages 0, I, II, III, and IV was 52 (10.9%), 292 (61.3%), 106 (22.3%), 8 (1.7%), and 18 (3.8%), respectively (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). In the univariate analysis, old age was associated with a significantly increased risk of death (p &lt; 0.0001). Patients greater than and equal to 70 years of age (HR = 18.64, 95% CI: 10.96&#x2013;31.72) had a worse prognosis than patients less than and equal to 54 years of age. The risk of death for people with comorbidity scores 1, 2, 3, and &#x2265;4 was 2.65, 4.88, 5.48, and 7.77, respectively (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref> demonstrated the subgroup analysis of the risk of death between melanoma and non-melanoma groups. The risk of death for patients aged &#x2264;54 between melanoma and non-melanoma group was the highest (HR = 13.08, 95% CI = 4.41&#x2013;38.77, p &lt; 0.0001) among the three age groups. For patients between melanoma and non-melanoma groups with comorbidity score 0, the HR risk of death was 2.40 (95% CI: 1.56&#x2013;3.68, p &lt; 0.0001). <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref> demonstrated the higher risk of mortality for people with comorbidity score 3 (HR = 2.79, 95% CI: 1.46&#x2013;5.30, p = 0.002) and score &#x2265;4 (HR = 2.75, 95% CI: 1.39&#x2013;5.44, p = 0.004). Increased comorbidity was related to the advanced cancer stage at diagnosis. The HR risk of mortality in melanoma patients with comorbidity scores 1, &#x2265;2 at stages 0 and I was 2.61 (95% CI: 1.01&#x2013;6.78) and 2.62 (95% CI: 1.12&#x2013;6.13), respectively. For patients with comorbidity scores 1, &#x2265;2 at stage II, the HR of risk of mortality was 3.26 (95% CI: 1.20&#x2013;8.84). The E-values for patients with comorbidity scores 1, &#x2265;2 at stages 0 and I and comorbidity score &#x2265;2 at stage II were 4.66, 4.68, and 5.97, respectively. We found in this study that the advanced stage of melanoma patients with more comorbidities was significantly associated with the higher risk of mortality rate.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Kaplan-Meier plot for the mortality rate in melanoma group and non-melanoma group.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-846760-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Forest plot of mortality rate according to CCI subgroups.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-846760-g003.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Cox proportional hazards model analysis for risk of death.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center" colspan="2">Univariate</th>
<th valign="top" align="center" colspan="2">Multivariate<sup>&#x2020;</sup>
</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">p value</th>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">p value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Group</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-melanoma</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Melanoma</td>
<td valign="top" align="center">1.58 (1.27&#x2013;1.97)</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">1.46 (1.17&#x2013;1.82)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Age</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264;54</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;55&#x2013;69</td>
<td valign="top" align="center">2.67 (1.49&#x2013;4.77)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">2.21 (1.23&#x2013;3.96)</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;70</td>
<td valign="top" align="center">18.64 (10.96&#x2013;31.72)</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">11.76 (6.84&#x2013;20.24)</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">1.15 (0.99&#x2013;1.33)</td>
<td valign="top" align="center">0.078</td>
<td valign="top" align="center">1.10 (0.94&#x2013;1.28)</td>
<td valign="top" align="center">0.246</td>
</tr>
<tr>
<td valign="top" align="left">Monthly income (NT$)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;20,000</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;20,001&#x2013;40,000</td>
<td valign="top" align="center">0.90 (0.77&#x2013;1.05)</td>
<td valign="top" align="center">0.186</td>
<td valign="top" align="center">1.09 (0.86&#x2013;1.39)</td>
<td valign="top" align="center">0.473</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt;40,000</td>
<td valign="top" align="center">0.58 (0.46&#x2013;0.74)</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">1.11 (0.88&#x2013;1.42)</td>
<td valign="top" align="center">0.380</td>
</tr>
<tr>
<td valign="top" align="left">Residential region</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Northern</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Central</td>
<td valign="top" align="center">1.26 (1.04&#x2013;1.51)</td>
<td valign="top" align="center">0.016</td>
<td valign="top" align="center">1.07 (0.88&#x2013;1.30)</td>
<td valign="top" align="center">0.503</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Southern</td>
<td valign="top" align="center">1.19 (0.99&#x2013;1.43)</td>
<td valign="top" align="center">0.061</td>
<td valign="top" align="center">1.07 (0.89&#x2013;1.29)</td>
<td valign="top" align="center">0.487</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Others</td>
<td valign="top" align="center">0.90 (0.67&#x2013;1.20)</td>
<td valign="top" align="center">0.471</td>
<td valign="top" align="center">0.81 (0.60&#x2013;1.09)</td>
<td valign="top" align="center">0.158</td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">2.22 (1.91&#x2013;2.58)</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">1.09 (0.93&#x2013;1.28)</td>
<td valign="top" align="center">0.304</td>
</tr>
<tr>
<td valign="top" align="left">Hyperlipidemia</td>
<td valign="top" align="center">0.66 (0.54&#x2013;0.82)</td>
<td valign="top" align="center">&lt;0.001</td>
<td valign="top" align="center">0.43 (0.35&#x2013;0.54)</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">Charlson comorbidity index score</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1</td>
<td valign="top" align="center">2.65 (2.15&#x2013;3.26)</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">1.99 (1.61&#x2013;2.47)</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2</td>
<td valign="top" align="center">4.88 (3.92&#x2013;6.09)</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">3.13 (2.49&#x2013;3.93)</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;3</td>
<td valign="top" align="center">5.48 (4.26&#x2013;7.04)</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">3.36 (2.59&#x2013;4.35)</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;4</td>
<td valign="top" align="center">7.77 (6.19&#x2013;9.75)</td>
<td valign="top" align="center">&lt;0.0001</td>
<td valign="top" align="center">4.77 (3.75&#x2013;6.06)</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>&#x2020;</sup>Adjusted for age, sex, hypertension, hyperlipidemia, monthly income, residential region, and Charlson comorbidity index score.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Subgroup analysis of risk of death between melanoma and non-melanoma group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" colspan="2" align="center">Non-melanoma</th>
<th valign="top" colspan="2" align="center">Melanoma</th>
<th valign="top" align="center">HR<sup>&#x2020;</sup> (95% CI)</th>
<th valign="top" align="center">p value</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">N</th>
<th valign="top" align="center">No. of death</th>
<th valign="top" align="center">N</th>
<th valign="top" align="center">No. of death</th>
<th valign="top" align="center">
</th>
<th valign="top" align="center">
</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age</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">&#x2003;&#x2264;54</td>
<td valign="top" align="center">710</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">71</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">13.08 (4.41&#x2013;38.77)</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;55&#x2013;69</td>
<td valign="top" align="center">1,430</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">143</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">2.85 (1.55&#x2013;5.23)</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;70</td>
<td valign="top" align="center">2,620</td>
<td valign="top" align="center">571</td>
<td valign="top" align="center">262</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">1.33 (1.04&#x2013;1.70)</td>
<td valign="top" align="center">0.024</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
</td>
<td valign="top" align="center">p for interaction</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">Sex</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">&#x2003;Female</td>
<td valign="top" align="center">2,060</td>
<td valign="top" align="center">235</td>
<td valign="top" align="center">206</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">1.63 (1.16&#x2013;2.29)</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">2,700</td>
<td valign="top" align="center">390</td>
<td valign="top" align="center">270</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">1.50 (1.13&#x2013;2.00)</td>
<td valign="top" align="center">0.006</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
</td>
<td valign="top" align="center">p for interaction =</td>
<td valign="top" align="center">0.6331</td>
</tr>
<tr>
<td valign="top" align="left">Monthly income (NT$)</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">&#x2003;&lt;20,000</td>
<td valign="top" align="center">1,527</td>
<td valign="top" align="center">231</td>
<td valign="top" align="center">144</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">1.76 (1.22&#x2013;2.54)</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;20,001&#x2013;40,000</td>
<td valign="top" align="center">2,349</td>
<td valign="top" align="center">320</td>
<td valign="top" align="center">235</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">1.33 (0.97&#x2013;1.83)</td>
<td valign="top" align="center">0.078</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt;40,000</td>
<td valign="top" align="center">884</td>
<td valign="top" align="center">74</td>
<td valign="top" align="center">97</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">1.93 (1.09&#x2013;3.42)</td>
<td valign="top" align="center">0.024</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
</td>
<td valign="top" align="center">p for interaction =</td>
<td valign="top" align="center">0.3457</td>
</tr>
<tr>
<td valign="top" align="left">Residential region</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">&#x2003;Northern</td>
<td valign="top" align="center">1,989</td>
<td valign="top" align="center">236</td>
<td valign="top" align="center">242</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">1.55 (1.12&#x2013;2.16)</td>
<td valign="top" align="center">0.009</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Central</td>
<td valign="top" align="center">1,116</td>
<td valign="top" align="center">172</td>
<td valign="top" align="center">87</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">1.29 (0.78&#x2013;2.13)</td>
<td valign="top" align="center">0.322</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Southern</td>
<td valign="top" align="center">1,212</td>
<td valign="top" align="center">171</td>
<td valign="top" align="center">111</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">1.82 (1.20&#x2013;2.74)</td>
<td valign="top" align="center">0.005</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Others</td>
<td valign="top" align="center">443</td>
<td valign="top" align="center">46</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1.37 (0.61&#x2013;3.09)</td>
<td valign="top" align="center">0.447</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
</td>
<td valign="top" align="center">p for interaction =</td>
<td valign="top" align="center">0.775</td>
</tr>
<tr>
<td valign="top" colspan="7" align="left">Charlson comorbidity index score</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0</td>
<td valign="top" align="center">2,663</td>
<td valign="top" align="center">158</td>
<td valign="top" align="center">212</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">2.40 (1.56&#x2013;3.68)</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1</td>
<td valign="top" align="center">1,024</td>
<td valign="top" align="center">156</td>
<td valign="top" align="center">126</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">1.22 (0.77&#x2013;1.93)</td>
<td valign="top" align="center">0.394</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2</td>
<td valign="top" align="center">478</td>
<td valign="top" align="center">124</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">1.01 (0.58&#x2013;1.76)</td>
<td valign="top" align="center">0.977</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;3</td>
<td valign="top" align="center">280</td>
<td valign="top" align="center">75</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">1.67 (0.98&#x2013;2.86)</td>
<td valign="top" align="center">0.060</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;4</td>
<td valign="top" align="center">315</td>
<td valign="top" align="center">112</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">1.20 (0.70&#x2013;2.08)</td>
<td valign="top" align="center">0.509</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
</td>
<td valign="top" align="center">p for interaction =</td>
<td valign="top" align="center">0.0799</td>
</tr>
<tr>
<td valign="top" colspan="7" align="left">Charlson comorbidity index score</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0</td>
<td valign="top" align="center">2,663</td>
<td valign="top" align="center">158</td>
<td valign="top" align="center">212</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">2.40 (1.56&#x2013;3.68)</td>
<td valign="top" align="center">&lt;0.0001</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1</td>
<td valign="top" align="center">1,024</td>
<td valign="top" align="center">156</td>
<td valign="top" align="center">126</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">1.22 (0.77&#x2013;1.93)</td>
<td valign="top" align="center">0.394</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;2</td>
<td valign="top" align="center">1,073</td>
<td valign="top" align="center">311</td>
<td valign="top" align="center">138</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">1.25 (0.92&#x2013;1.71)</td>
<td valign="top" align="center">0.152</td>
</tr>
<tr>
<td valign="top" colspan="5" align="left">
</td>
<td valign="top" align="center">p for interaction =</td>
<td valign="top" align="center">0.029</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>&#x2020;</sup>Adjusted for age, sex, monthly income, residential region, hypertension, and hyperlipidemia.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Cox proportional hazards model analysis for risk of mortality in melanoma patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">N</th>
<th valign="top" align="center">Numbers of death</th>
<th valign="top" align="center">HR<sup>&#x2020;</sup> (95% CI)</th>
<th valign="top" align="center">p value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Charlson comorbidity index score</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0</td>
<td valign="top" align="center">212</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1</td>
<td valign="top" align="center">126</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">1.24 (0.69&#x2013;2.23)</td>
<td valign="top" align="center">0.475</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;2</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">1.58 (0.81&#x2013;3.11)</td>
<td valign="top" align="center">0.184</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;3</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">2.79 (1.46&#x2013;5.30)</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;4</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">2.75 (1.39&#x2013;5.44)</td>
<td valign="top" align="center">0.004</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Stage 0, I</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Charlson comorbidity index score</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0</td>
<td valign="top" align="center">155</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1</td>
<td valign="top" align="center">88</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">2.61 (1.01&#x2013;6.78)</td>
<td valign="top" align="center">0.048</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;2</td>
<td valign="top" align="center">101</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">2.62 (1.12&#x2013;6.13)</td>
<td valign="top" align="center">0.026</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Stage II</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Charlson comorbidity index score</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">0.44 (0.14&#x2013;1.33)</td>
<td valign="top" align="center">0.144</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;2</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">3.26 (1.20&#x2013;8.84)</td>
<td valign="top" align="center">0.020</td>
</tr>
<tr>
<td valign="top" align="left">
<bold>Stage III, IV</bold>
</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Charlson comorbidity index score</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;0</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">3.86 (0.59&#x2013;25.22)</td>
<td valign="top" align="center">0.158</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;2</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">NA</td>
<td valign="top" align="center">5.17 (0.69&#x2013;38.92)</td>
<td valign="top" align="center">0.110</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>&#x2020;</sup>Adjusted for age, sex, monthly income, residential region, hypertension, and hyperlipidemia.</p>
</fn>
<fn>
<p>NA, not available.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In this nationwide registry-based cohort study, we included 476 men and women diagnosed with melanoma. According to tumor stage, 52 (10.9%) <italic>in situ</italic>, 398 (83.6%) had a localized tumor, 8 (1.7%) had regional metastases, 18 (3.8%) had distant metastases, and 364 (55.5%) suffered from one or more comorbidities (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Our study unraveled an association between a higher prevalence of comorbidities and a higher risk of death. The more comorbidity, the higher the risk of mortality. Comorbidity commonly is associated with poorer survival. Old age was associated with a significantly increased risk of death. In our study, patients greater than and equal to 70 years of age (HR = 18.64, 95% CI: 10.96&#x2013;31.72) had a worse risk of death than patients 55&#x2013;69 years of age (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). There was an association between older age and more advanced tumors at diagnosis, leading to higher mortality among elderly people (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). In Taiwan, malignant melanoma is an uncommon but fatal disease. One possible reason for low survival was that farmers delayed the diagnosis to old age. The comorbidities, or neglecting consciousness of melanoma, adverse effects of their treatment, or disguising the symptoms of the disease by the patient or doctor could be another possibility for late detection in people with comorbid conditions (<xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>Gonzalez et&#xa0;al. (<xref ref-type="bibr" rid="B24">24</xref>) demonstrated that having comorbidity and cancer (colorectal, melanoma, breast, prostate) has resulted in late diagnosis of cancer. A previous study from Grann et&#xa0;al. (<xref ref-type="bibr" rid="B20">20</xref>) showed that comorbidity initiated a higher risk of complications and worse functional status, decreased quality of life, and poorer survival&#x2014;especially in older patients. Houterman et&#xa0;al. (<xref ref-type="bibr" rid="B37">37</xref>) reported that increased levels of severe comorbidity led to less aggressive treatment that negatively influenced the survival of elderly patients aged 60&#x2013;79 years. Comorbidities could worsen comorbid diseases and lower the functional status of metastatic melanoma patients receiving curative treatment (<xref ref-type="bibr" rid="B20">20</xref>). Research from Taiwan reported that a worse prognosis with great differences was mostly found in histologic subtypes, advanced stages, and acral lentiginous melanoma. Melanoma patients had a poorer prognosis when they were diagnosed with more advanced stage (<xref ref-type="bibr" rid="B26">26</xref>). Some studies suggested that coexistent disease was associated with worse survival and increased the possibility of being diagnosed with distant metastasis (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B38">38</xref>&#x2013;<xref ref-type="bibr" rid="B43">43</xref>). Our study revealed the association between comorbidity and stage that may influence the prognosis of melanoma patients in Taiwan. <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref> showed that for people with comorbidity scores 3 and &#x2265;4, HR of the risk of mortality was relatively higher than scores 1 and 2. The risk of mortality for patients with comorbidity score &#x2265;2 at stages 0, I was a little higher than those with comorbidity score 1. The risk of mortality for patients with comorbidity score &#x2265;2 at stage II was significantly higher than those with comorbidity score 1. Though the risk of mortality for patients with comorbidity score &#x2265;2 at stages III, IV was lower than those with comorbidity score 1, no major differences were found because of too small a patient population.</p>
<p>Comorbidity might reduce survival because curative treatment is used less frequently in older patients. Consequently, survival of patients older than 70 years was not significantly influenced by comorbidity (<xref ref-type="bibr" rid="B44">44</xref>). Bradley et&#xa0;al. (<xref ref-type="bibr" rid="B45">45</xref>) reported that men with more comorbid conditions were less likely to receive treatment than those without comorbidities. The decision to receive treatment was determined mainly by the patient&#x2019;s age, disease stage, tumor characteristics, and experience of the urologist (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B46">46</xref>). Fowler et&#xa0;al. (<xref ref-type="bibr" rid="B47">47</xref>) revealed that associations between age and comorbidity were highly significant (p &lt; 0.0001), as the age-adjusted risk of comorbid death was 5.7 times greater in men with severe compared to those without comorbidities. Two previous studies showed that less aggressive treatment for melanoma among patients with comorbidity may affect the mortality rate because of some of the interactions between melanoma and comorbidity. Decreased function of the immune system in older patients with more comorbidities may result in higher mortality because of the interaction between comorbidity and melanoma (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>). Koppie et&#xa0;al. (<xref ref-type="bibr" rid="B50">50</xref>) also reported that the conditions required for treatment, such as a history of comorbidities, age, performance status, and other related factors, are important for melanoma patients when they plan to receive necessary treatment. Generally, elderly patients with more comorbidities are less likely to receive the most aggressive chemotherapy combinations for avoiding a high risk of significant morbidity (<xref ref-type="bibr" rid="B50">50</xref>).</p>
<p>The minority of melanoma patients (44.5%) had none of the selected comorbidities since their melanoma was diagnosed. In the remaining 55.5% of the melanoma cohort with some prevalent comorbidity, the most common comorbid diseases were diabetes without chronic complication, chronic pulmonary disease, peptic ulcer disease, and cerebrovascular (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). Among melanoma and non-melanoma groups, the proportion diagnosed with severe comorbidity increased with an increasing mortality rate, and the level of comorbidity was strongly associated with mortality (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>).</p>
<p>However, the weight of the association differs by specific comorbid disease, patient age, cancer characteristics, and overall comorbidity burden (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Comorbidity can be measured by counting the number of coexisting illnesses diagnosed in a cancer patient or by using a comorbidity index that integrates the number and severity of the comorbidity (<xref ref-type="bibr" rid="B51">51</xref>). Nowadays, the CCI is the most commonly applied index for comorbidities in cancer patients. The CCI score is the sum of weights of a patient&#x2019;s coexisting conditions based on 19 disease categories. The weights originated from relative risk assessment acquired from a regression model. They are usually assigned from 1 to 6 points and then collapsed into categories of 0 point, 1 to 2 points, 3 to 4 points, and 5 or more points, respectively. The CCI has been previously verified as a prognostic method of comorbidity for some index cancers (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>A study previously showed that both the survival and treatment of patients were affected by age and the extent of comorbidity. Racial differences in survival were greatest for patients without comorbidities and less pronounced at higher levels of comorbidity. Comorbidity elicited differential impact for prognosis, treatment, and survival (<xref ref-type="bibr" rid="B52">52</xref>). However, the outcomes of this study by using the CCI score were similar with many reports in Western countries (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B39">39</xref>). Comorbidities that influence prognosis seriously may differ between Eastern and Western countries. We expect that future research can focus on which of these comorbidities may most seriously affect the prognosis of melanoma patients.</p>
<p>There is a limitation in this study. From Taiwan&#x2019;s NHIRD, we selected random samples of 2 million from 23 million beneficiaries. Because melanoma is an unusual illness in Taiwan, the sample size of melanoma patients was relatively small in our research. However, NHIRD is a randomly selected representative sample of Taiwan&#x2019;s general population. This may avoid sampling deviation or selection bias and provide more nationwide information in this study.</p>
<p>In conclusion, melanoma patients in Taiwan with comorbidity were associated with poorer survival. The level of comorbidity was robustly associated with the mortality rate. The presence of severe comorbidity was associated with an advanced stage of melanoma. The mortality rate was higher among patients with more comorbidities, and the influence of comorbidity varied by stage. Old age was associated with a significantly increased risk of death. A higher risk of mortality was found in patients who had localized tumors, regional metastases, or distant metastases with more comorbidity scores. Our study demonstrated that comorbidity and stage had an impact on the prognosis of Taiwan melanoma patients.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The data in this study we used were from the National Health Insurance Research Database and Taiwan Cancer Registry.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author Contributions</title>
<p>All authors listed have contributed to the work and approved its publication. Contributors: All other authors (YSH, PNC, SCC, JYH, YHW and JCCW) provided their input by contributing to the conceptualization. CKC contributed to the editing of the article.</p>
</sec>
<sec id="s7" 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="s8" 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>I would like to express my thanks to Professor James Cheng-Chung Wei, Professor Yih-Shou Hsieh, Professor Pei-Ni Chen, Professor Shu-Chen Chu, and Dr. Jing&#x2010;Yang Huang, who all served as scientific advisers, and Yu-Hsun Wang, who collected data for this study. The authors also wish to thank all colleagues from the Department of Medical Research, Chung Shan Medical University Hospital, Taichung, Taiwan.</p>
</ack>
<sec id="s9" 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.2022.846760/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2022.846760/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
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