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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.2024.1484716</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>Sex-specific difference for melanoma from immunotherapy advancement</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Qianqian</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Dong</surname>
<given-names>Ying</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ma</surname>
<given-names>Yujiao</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mo</surname>
<given-names>You</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1200045"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yuan</surname>
<given-names>Jupeng</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liu</surname>
<given-names>Xu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">*</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1570939"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Shandong Provincial Key Laboratory of Precision Oncology, Shandong Cancer Hospital and Institute</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Shandong First Medical University and Shandong Academy of Medical Sciences</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Radiation Oncology, Shandong University Cancer Center</institution>, <addr-line>Jinan, Shandong</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Laboratory of Molecular Cardiology, The First Affiliated Hospital of Shantou University Medical College</institution>, <addr-line>Shantou, Guangdong</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Domenico Mallardo, G. Pascale National Cancer Institute Foundation (IRCCS), Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Liu Yanhao, The Affiliated Qingdao Central Hospital of Qingdao University, China</p>
<p>Julie Jiang, Geisinger Health System, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xu Liu, <email xlink:href="mailto:medliuxu@163.com">medliuxu@163.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>14</day>
<month>11</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>14</volume>
<elocation-id>1484716</elocation-id>
<history>
<date date-type="received">
<day>22</day>
<month>08</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>10</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Li, Dong, Ma, Mo, Yuan and Liu</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Li, Dong, Ma, Mo, Yuan and Liu</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 evaluation of melanoma incidence and mortality trends based on population characteristics, with a particular focus on sex differences, is of utmost importance.</p>
</sec>
<sec>
<title>Methods</title>
<p>The gender-stratified analysis of melanoma mortality across various calendar years was conducted. Utilizing the Joinpoint software, we detected alterations in the incidence rates and delineated the mortality trends.</p>
</sec>
<sec>
<title>Results</title>
<p>Melanoma&#x2019;s incidence-based mortality exhibited a rising trajectory between 2005 and 2010, characterized by an annual percent change (APC) of 2.95%. However, there was a significant decrease in mortality from 2015 to 2019, with an APC of -4.39%. Notably, the mortality among men decreased by about 5.84% between 2015 and 2019, while there was no significant downward trend in the mortality rate among women. Subsequent analysis revealed no statistically significant variation in the 2-year survival rate of female patients aged 45-54 years among different age groups (Z=-0.775, p &gt;0.1).</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Between 2015 and 2019, against the backdrop of stable melanoma incidence rates in the United States, there was a significant decline in mortality. Our analysis suggests that the utilization of immunotherapy may account for the observed reduction in mortality, with particularly notable benefits for male patients. However, female patients, especially younger women, did not derive significant advantages.</p>
</sec>
</abstract>
<kwd-group>
<kwd>melanoma</kwd>
<kwd>sex</kwd>
<kwd>incidence</kwd>
<kwd>mortality</kwd>
<kwd>immunotherapy</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="33"/>
<page-count count="9"/>
<word-count count="4054"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Skin Cancer</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Melanoma, a malignant tumor originates from melanocytes, representing a significant malignancy with substantial impact on public health (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Its remarkable invasiveness and high metastatic potential present a considerable clinical challenge. Melanoma ranks fifth among newly diagnosed cancer cases, accounting for approximately 4-6% (<xref ref-type="bibr" rid="B3">3</xref>). While the incidence trends of melanoma have been thoroughly documented, the mortality trends, particularly in relation to the impact of therapeutic innovations, remain less understood. Evaluating the mortality trends is of paramount importance, as the potential introduction of melanoma screening programs and advancements in treatment are anticipated to exert a range of influences on future mortality rates. This analysis is essential for informing public health strategies and optimizing melanoma management protocols. Furthermore, it is imperative to disaggregate the incidence-based mortality and survival rates by gender, given the distinct prevalence patterns of melanoma among different sexes (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). This stratification will provide a more nuanced understanding of the disease&#x2019;s epidemiological profile and inform targeted interventions and research initiatives.</p>
<p>The treatment of melanoma has historically posed significant challenges, with limited efficacy observed in response to conventional chemotherapy regimens. In recent years, significant advancements have trans-formed the melanoma treatment arena, with the emergence of targeted therapies and immunotherapies profoundly altering the prognosis for patients. These innovative approaches have not only expanded the treatment options available but also improved the survival quality and overall survival for individuals afflicted with this aggressive form of skin cancer. The BARF mutation in melanoma serves as a paradigmatic illustration. Therapeutic agents designed to target cancers harboring BRAF mutations represented a pioneering class of targeted therapies for the treatment of advanced melanoma. Vemurafenib and dabrafenib, which selectively target the BRAF-V600E mutation, exert a negligible effect on the wild-type BRAF protein (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). The National Comprehensive Cancer Network (NCCN) advocates for BRAF mutation status testing in high-risk melanoma cases to inform clinical management strategies. The U.S. Food and Drug Administration (FDA) first approved an immune checkpoint inhibitor (ICI) therapy for melanoma in 2011, ipilimumab, which is an antibody that targets the cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) (<xref ref-type="bibr" rid="B10">10</xref>). This approval was followed by the FDA&#x2019;s endorsement of anti-programmed cell death protein 1 (PD-1) antibodies pembrolizumab and nivolumab in 2014, marking further advancements in immunotherapeutic options for melanoma treatment (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). The therapeutic repertoire was further expanded in 2015 with the FDA approval of the combinatorial regimen of ipilimumab and nivolumab, heralding a new era in melanoma treatment strategies (<xref ref-type="bibr" rid="B13">13</xref>). However, a comprehensive evaluation of the impact of therapeutic advancements on melanoma&#x2019;s population-level mortality remains elusive.</p>
<p>Employing the incidence-based mortality approach, this study delineates melanoma&#x2019;s mortality trends in the United States from 2001 to 2019. The analysis incorporates gender-stratified data to assess the influence of incidence rates and melanoma-specific survival on mortality trends. This approach reveals distinct gender-related patterns and highlights disparities in melanoma incidence and patient outcomes.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study data</title>
<p>The Surveillance, Epidemiology, and End Results (SEER) program, a robust and exhaustive resource from the National Cancer Institute, provides data on cancer incidence and mortality across a significant segment of the U.S. population. Our research cohort was extracted from the SEER 17-registries database (SEER 17 Regs Research Data, November 2022, encompassing variable years from 2000 to 2020), with the dataset released in April 2023.</p>
<p>To ensure accurate categorization of melanoma subtypes, our investigation utilized the classification system proposed by Lewis et&#xa0;al, which applies the morphology codes from the International Classification of Dis-eases for Oncology, 3rd Edition (ICD-O-3) (<xref ref-type="bibr" rid="B14">14</xref>). Cases identified exclusively via death certificates or autopsy reports were excluded from our analysis due to the frequent absence of subtype-specific data. We computed the incidence and incidence-based mortality rates of melanoma for the timeframe from 2001 to 2019, incorporating adjustments for possible reporting lags and the repercussions of the COVID-19 pandemic on data collection (<xref ref-type="bibr" rid="B15">15</xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Statistical analysis</title>
<p>In this investigation, we harnessed the SEER*Stat software (version 8.4.2) and Joinpoint software (version 5.0.1), both furnished by the National Cancer Institute, for the extraction and analysis of data. Our study&#x2019;s emphasis was on the incidence of melanoma and its cancer-specific survival rates. The analytical process entailed calculating the ratio of documented melanoma-related fatalities to the standardized population size, utilizing this approach to gauge the influence of screening initiatives and therapeutic interventions on the mortality trends (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Our study presents a comprehensive analysis of melanoma incidence and incidence-based mortality rates, stratified by year and gender. We employed piecewise regression to delineate the temporal dynamics in age-standardized rates, disaggregated by sex. Utilizing the Joinpoint program, we discerned linear segments within each trend curve, with the corresponding percentages signifying the APC within the defined time spans. A marked asterisk (*) indicates instances where the APC deviates significantly from zero at the P &lt; 0.05 level (<xref ref-type="bibr" rid="B17">17</xref>). Conclusively, we adopted a relative survival methodology to ascertain the 2-year and 5-year relative survival rates for melanoma patients, categorized according to their sex and the calendar year of diagnosis.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Ethics statement</title>
<p>The investigation was executed utilizing the SEER database, strictly adhering to the ethical guidelines set forth in the Declaration of Helsinki. We secured authorization for accessing the research data from the SEER program, and informed consent was waived due to the anonymized nature of the patient data.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Trends in incidence and incidence-based mortality from melanoma</title>
<p>
<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref> illustrated the analysis of melanoma incidence and incidence-based mortality from 2001 to 2019. The incidence of melanoma exhibited varying trends at different time periods. From 2005-2010, the annual incidence of melanoma exhibited a decline of 0.14%, which was not statistically significant. Similarly, from 2015 to 2019, the annual incidence decreased by 0.44% without statistical significance. However, the incidence exhibited a significant annual increase of 1.65% from 2010 to 2015. Melanoma incidence-based mortality showed promising trends from 2001 to 2019. Between 2005 and 2010, the incidence-based mortality for melanoma escalated by 2.25%. Subsequently, from 2010 to 2015, a downward trend in mortality was observed, which was not statistically significant. However, from 2015 to 2019, there was a significant annual drop of 4.39%.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Trends in incidence and incidence-based mortality of melanoma. The figure presents the modeled trends in melanoma incidence (blue line) alongside the modeled trends in incidence-based mortality (red line). The incidence data are symbolized by blue squares, whereas the empirical incidence-based mortality data are represented by red triangles. Percentage values juxtaposed with the data points signify the annual percentage change across the defined time period. Annual percentage changes that are statistically distinct from zero (P &lt; 0.05) are highlighted with asterisks.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1484716-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Gender difference in incidence and incidence-based mortality of melanoma</title>
<p>A meticulous analysis of melanoma incidence and incidence-based mortality from 2001 to 2019, stratified by gender, is presented in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>. The left panel of the figure illustrates the incidence-based mortality rates of melanoma among males. Consistent with the overall incidence-based mortality trend depicted in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>, the mortality among male melanoma patients underwent an initial increase followed by a subsequent decline (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). From 2005 to 2010, the incidence-based mortality escalated by 2.84%. Subsequently, between 2010 and 2015, a downward trend observed, which was not statistically significant. However, a statistically significant annual decline of 5.84% between 2015 and 2019. The 2-year relative survival rate for melanoma among male patients exhibited a marked improvement, escalating from 92.5% in 2001 to 95.1% by 2019, as depicted in <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>. Conversely, the incidence of melanoma among females demonstrated stability from 2005 to 2010. Subsequently, a 1.88% annual increase was observed from 2010 to 2015, which plateaued, maintaining a consistent trend from 2015 to 2019.And, incidence-based mortality of women exhibited distinct patterns diverging from those observed in the general population and among men (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). The incidence-based mortality in women increased by 2.70% from 2005 through 2010, followed by a significant decrease of 1.60% from 2010 to 2015. Between 2016 and 2019, the mortality dropped by 2.04% without significant statistical difference. The 2-year relative survival rate for women with a small increase from 95.7% in 2001 to 96.7% in 2019 (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). The 2-year relative survival rates of men and women from 2001 to 2019 are further detailed in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The 2-year relative survival for men was 95.2% &#xb1; 0.1% in the period of 2005-2009, which increased to 95.8% &#xb1; 0.1% during 2010-2014, and then increased to 96.7% &#xb1; 0.1% in the period of 2015-2019. In comparison with the survival rate observed during 2010-2014, there was a significant improvement in the survival rate during 2015-2019 (Z =5.993, p &lt;0.01). However, the survival rates between 2010-2014 (97.1% &#xb1; 0.1%) and 2015-2019 (97.5% &#xb1; 0.1%) showed no statistically significant difference among women (Z =1.649, p &gt;0.1).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The incidence, incidence-based mortality, and survival trends of melanoma among men and women. <bold>(A)</bold> This panel displays the incidence (blue line) and incidence-based mortality (red line) trends for melanoma, stratified by gender. The data for incidence are symbolized with blue squares, and the corresponding incidence-based mortality data are marked with red triangles. <bold>(B)</bold> The 2-year cancer-specific survival, categorized by year of diagnosis, demonstrate significant improvement in men&#x2019;s survival from 92.5% in 2001 to 95.1% in 2019, whereas women&#x2019;s survival has increased from 95.7% to 96.7%.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1484716-g002.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>2-year relative survival rates of calendar year.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="3" align="center">Cohort</th>
<th valign="top" colspan="8" align="center">Sex</th>
</tr>
<tr>
<th valign="top" colspan="4" align="center">Male</th>
<th valign="top" colspan="4" align="center">Female</th>
</tr>
<tr>
<th valign="top" align="center">No.</th>
<th valign="top" align="center">RS&#xb1; SE (%)</th>
<th valign="top" align="center">Z value</th>
<th valign="top" align="center">P value</th>
<th valign="top" align="center">No.</th>
<th valign="top" align="center">RS&#xb1; SE</th>
<th valign="top" align="center">Z-value</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="9" align="left">Years of diagnosis</th>
</tr>
<tr>
<td valign="top" align="center">2001-2004</td>
<td valign="top" align="center">25539</td>
<td valign="top" align="center">93.4 &#xb1; 0.2</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
<td valign="top" align="center">20607</td>
<td valign="top" align="center">96.4 &#xb1; 0.2</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">2005-2009</td>
<td valign="top" align="center">66121</td>
<td valign="top" align="center">95.2 &#xb1; 0.1</td>
<td valign="top" align="center">2.492</td>
<td valign="top" align="center">&lt;0.01</td>
<td valign="top" align="center">29132</td>
<td valign="top" align="center">96.4 &#xb1; 0.1</td>
<td valign="top" align="center">-0.007</td>
<td valign="top" align="center">&gt;0.1</td>
</tr>
<tr>
<td valign="top" align="center">2010-2014</td>
<td valign="top" align="center">72896</td>
<td valign="top" align="center">95.8 &#xb1; 0.1</td>
<td valign="top" align="center">5.613</td>
<td valign="top" align="center">&lt;0.01</td>
<td valign="top" align="center">31646</td>
<td valign="top" align="center">97.1 &#xb1; 0.1</td>
<td valign="top" align="center">2.941</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="top" align="center">2015-2019</td>
<td valign="top" align="center">81083</td>
<td valign="top" align="center">96.7 &#xb1; 0.10</td>
<td valign="top" align="center">10.834</td>
<td valign="top" align="center">&lt;0.01</td>
<td valign="top" align="center">35445</td>
<td valign="top" align="center">97.5 &#xb1; 0.10</td>
<td valign="top" align="center">4.457</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="top" align="center">2015-2019<break/>Vs<break/>2010-2014</td>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="middle" align="center">5.993</td>
<td valign="middle" align="center">&lt;0.01</td>
<td valign="top" align="left"/>
<td valign="top" align="left"/>
<td valign="middle" align="center">1.649</td>
<td valign="middle" align="center">&gt;0.1</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In light of the higher 2-year survival rate for melanoma, a further analysis on the 5-year melano-ma-cancer-specific survival in both men and women was conducted. At the most recent time point analyzed, which is 2015, the 5-year survival rate among female patients (96.3% &#xb1; 0.4%) was significantly higher than that among male (93.7 &#xb1; 0.5) (Z =4.716, p &lt;0.01) (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref> illustrates that the male population exhibited a significantly elevated 5-year survival rate. The 5-year survival showed a significant increase from 86.8% in 2001 to 91.4% in 2015. Females demonstrated an upward trend in their 5-year melanoma-specific survival; however, this increase was less significant compared to that observed in males, mirroring the pattern seen in the 2-year survival. The 5-year melanoma-specific survival showed in women from 92.4% in 2001 to 94.4% in 2015 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). Following this trend, it is anticipated that the survival rates between male and female patients will further converge. Different patterns based on estimations of incidence and incidence-based mortality were observed between men and women. The observed decrease in incidence-based mortality exceeded that of the incidence rates themselves, underscoring the efficacy of targeted therapies and immunotherapies in improving outcomes among melanoma patients. The FDA granted approval to Vemurafenib in 2011 for the treatment of metastatic melanoma harboring BRAF-V600 E mutations. In the same year, Ipilimumab was initially approved by the FDA for ICI therapy in melanoma, marking a significant milestone in the treatment of this disease (<xref ref-type="bibr" rid="B11">11</xref>) which resulted in a significant decrease in incidence-based mortality compared to previous years. In 2015, the FDA granted approval for the combination therapy of Ipilimumab and Nivolumab to treat melanoma, thereby expanding treatment options and ushering in a new era of melanoma treatment strategy (<xref ref-type="bibr" rid="B13">13</xref>). The panel in trends of incidence-based mortality from male displayed the generation of combination therapy in 2015, as evidenced by a change in slope (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). However, compared to male counterparts, female appear not to have derived significant benefits in their incidence-based mortality from novel therapeutic strategies, despite the incidence of melanoma remaining stable in this demographic.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>5-year relative survival rates in male and Female.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="center">2015</th>
<th valign="top" colspan="4" align="center">5-year relative survival</th>
</tr>
<tr>
<th valign="top" align="center">No. (%)</th>
<th valign="top" align="center">RS&#xb1; SE (%)</th>
<th valign="top" align="center">Z value</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="5" align="left">Sex</th>
</tr>
<tr>
<td valign="top" align="center">Male and Female</td>
<td valign="top" align="center">16351</td>
<td valign="top" align="center">94.9 &#xb1; 0.3</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">Male</td>
<td valign="top" align="center">9194</td>
<td valign="top" align="center">93.7 &#xb1; 0.5</td>
<td valign="top" align="center">-2.785</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="top" align="center">Female</td>
<td valign="top" align="center">7157</td>
<td valign="top" align="center">96.3 &#xb1; 0.4</td>
<td valign="top" align="center">2.787</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="top" align="center">Female vs Male</td>
<td valign="top" align="center"/>
<td valign="top" align="left"/>
<td valign="top" align="center">4.716</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>The 5-year cancer-specific survival trends of melanoma among men and women. The 5-year cancer-specific survival, categorized by year of diagnosis, demonstrate significant improvement in men&#x2019;s survival from 86.8% in 2001 to 91.4% in 2015, whereas women&#x2019;s survival has increased from 92.4% to 94.4%.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1484716-g003.tif"/>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Melanoma-cancer-specific survival across various age groups in men and women</title>
<p>Between 2001 and 2019, melanoma-specific survival improved for both men and women. However, given the varying impact across different age groups, postmenopausal women may experience changes in their survival outcomes. Consequently, we have estimated the differences in survival between men and women across various age groups. <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref> illustrates that the improvement in 2-year melanoma-specific survival rates varies between males and females across different age groups. An enhancement in survival rates is observable in all age groups for males. However, among female patients, no significant survival benefits were noted in the younger age cohort, whereas a notable increase in survival rates was observed in females over the age of 55, as evidenced by the slope of the lines. The 2-year relative survival rates in different age from 2001 to 2019 are further detailed in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>. Between 2010 and 2014, there was a significant improvement in the 2-year relative survival rate across all age groups, with rates of 96.4% &#xb1; 0.2% (p &lt;0.1) for individuals aged 45-54 years, 95.7% &#xb1; 0.2% (p &lt;0.1) for those aged 55-64 years, 95.7% &#xb1; 0.2% (p &lt;0.1) for those aged 65 to74 years, and finally, a rate of 93.7% &#xb1; 0.4% (p &lt;0.1) for individuals aged 75 and older. However, during the period from 2015 to 2019, while the 45-54 age group reported the highest relative survival rate of 97.5% &#xb1; 0.2% (p &lt;0.1) among all age groups, the trend did not demonstrate a statistically significant increase (p &gt;0.1). In contrast, the 55-64 years maintained a survival rate of 96.6% &#xb1; 0.2% (p &lt;0.1), the 65-74 age group was at 96.1% &#xb1; 0.2% (p &lt;0.1), and patients over 75 years achieved a survival rate of 95.1% &#xb1; 0.3% (p &lt;0.1), with all these trends showing significant enhancements. Statistical data indicate that the average age of menopause for female in U.S. is around 50 years old (<xref ref-type="bibr" rid="B18">18</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Survival trends of melanoma among men and women categorized by age groups. The 2-year melanoma -specific survival rate is presented by age groups in <bold>(A, B)</bold> for males and females, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-14-1484716-g004.tif"/>
</fig>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>2-year relative survival rates in sex and age.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="3" align="center">Cohort</th>
<th valign="top" colspan="8" align="center">2-year relative survival</th>
</tr>
<tr>
<th valign="top" colspan="4" align="center">2010-2014</th>
<th valign="top" colspan="4" align="center">2015-2019</th>
</tr>
<tr>
<th valign="top" align="center">No.</th>
<th valign="top" align="center">RS&#xb1; SE (%)</th>
<th valign="top" align="center">Z value</th>
<th valign="top" align="center">P value</th>
<th valign="top" align="center">No.</th>
<th valign="top" align="center">RS&#xb1; SE</th>
<th valign="top" align="center">Z value</th>
<th valign="top" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="top" colspan="9" align="left">Age (Years)</th>
</tr>
<tr>
<td valign="top" align="center">15-44</td>
<td valign="top" align="center">12739</td>
<td valign="top" align="center">97.5 &#xb1; 0.1</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="left"/>
<td valign="top" align="center">12228</td>
<td valign="top" align="center">97.6 &#xb1; 0.2</td>
<td valign="top" align="center">Reference</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="center">45-54</td>
<td valign="top" align="center">13452</td>
<td valign="top" align="center">96.4 &#xb1; 0.2</td>
<td valign="top" align="center">-4.789</td>
<td valign="top" align="left">&lt;0.01</td>
<td valign="top" align="center">12804</td>
<td valign="top" align="center">97.5 &#xb1; 0.2</td>
<td valign="top" align="center">-0.775</td>
<td valign="top" align="center">&gt;0.1</td>
</tr>
<tr>
<td valign="top" align="center">55-64</td>
<td valign="top" align="center">17454</td>
<td valign="top" align="center">95.7 &#xb1; 0.2</td>
<td valign="top" align="center">-7.645</td>
<td valign="top" align="left">&lt;0.01</td>
<td valign="top" align="center">20154</td>
<td valign="top" align="center">96.6 &#xb1; 0.2</td>
<td valign="top" align="center">-4.898</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="top" align="center">65-74</td>
<td valign="top" align="center">15361</td>
<td valign="top" align="center">95.7 &#xb1; 0.2</td>
<td valign="top" align="center">-6.794</td>
<td valign="top" align="left">&lt;0.01</td>
<td valign="top" align="center">20113</td>
<td valign="top" align="center">96.1 &#xb1; 0.2</td>
<td valign="top" align="center">-3.664</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
<tr>
<td valign="top" align="center">75+</td>
<td valign="top" align="center">13731</td>
<td valign="top" align="center">93.7 &#xb1; 0.4</td>
<td valign="top" align="center">-9.237</td>
<td valign="top" align="left">&lt;0.01</td>
<td valign="top" align="center">15640</td>
<td valign="top" align="center">95.1 &#xb1; 0.3</td>
<td valign="top" align="center">-6.72</td>
<td valign="top" align="center">&lt;0.01</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>In this investigation, we elucidate the mortality trends among melanoma patients, stratified by gender, while incorporating the dynamics of incidence and survival patterns. We have observed an improvement in the mortality since 2010, following the FDA approval of targeted therapies and immunotherapies. This improvement was particularly pronounced between 2015 and 2019, shortly after the recommendation of com-bination immunotherapy, with a significant reduction in incidence-based mortality, especially among male patients. However, no significant change was observed in the mortality rates among female patients. Significantly, within the female patient population, postmenopausal patients seemed to derive greater benefits from immunotherapy compared to their younger counterparts.</p>
<p>Melanoma prevention presents ongoing challenges, with epidemiological surveys revealing a substantial 320% escalation in melanoma incidence from 1975 to 2018 (<xref ref-type="bibr" rid="B19">19</xref>). Our research shows that there was no significant downward trend in the incidence of melanoma during the observed time period. Conversely, there was an increase in melanoma incidence from 2010 to 2015, which aligns with previous observations. The screening of individuals with risk factors and high-risk groups should be further strengthened to ensure a comprehensive evaluation.</p>
<p>During the preceding decade, the therapeutic domain for melanoma has undergone profound evolution. Specifically, melanoma incidence-based mortality was escalating prior to 2010. The introduction of targeted therapy and immunotherapy subsequently transformed the treatment landscape for advanced melanoma. Before these treatments, Dacarbazine stood as the sole FDA-approved chemotherapy agent for metastatic melanoma, yielding response rates between 7% and 12%, and a median overall survival (mOS) ranging from 5.6 to 7.8 months (<xref ref-type="bibr" rid="B8">8</xref>). A study published in N Engl J Med in 2010 showed that BRAF inhibitors effectively treat most patients with metastatic melanoma carrying the BRAF V600E mutation, leading to complete response or partial response (<xref ref-type="bibr" rid="B7">7</xref>). The BRIM-3 clinical trial substantiated that vemurafenib markedly enhanced OS and progression-free survival (PFS) in patients with untreated, metastatic melanoma harboring the BRAF V600E mutation, as compared to the use of dacarbazine (<xref ref-type="bibr" rid="B8">8</xref>). Furthermore, vemurafenib was designated the inaugural therapy for advanced melanoma to receive FDA approval in 2011. The advent of targeted therapy initiated a decline in the previously escalating melanoma mortality rates. Concurrently, the clinical deployment of immunotherapy has been transformative for the treatment paradigms of various cancers, notably with melanoma being among the pioneering neoplasms to benefit from such interventions. In 2011, the FDA sanctioned ipilimumab, a fully human monoclonal antibody, for metastatic melanoma therapy (<xref ref-type="bibr" rid="B10">10</xref>). Subsequently, a suite of agents directed against the PD-1/PD-L1 pathway, including nivolumab, pembrolizumab, and atezolizumab, have been authorized for melanoma treatment (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>). Recognizing the potential for synergistic effects between distinct immunotherapeutic classes to activate diverse components of the immune response, clinical development advanced to encompass trials of combination immunotherapies. Clinical trials have demonstrated that combination immunotherapy significantly benefits melanoma patients, including the CheckMate-069 (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>) and CheckMate-067 trials (<xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>). In 2015, the FDA approved the combination therapy of ipilimumab and nivolumab, further expanding treatment options and heralding a new era in melanoma treatment strategies (<xref ref-type="bibr" rid="B13">13</xref>). Our statistical results corroborate that the improvement in melanoma survival coincides with the introduction and approval of targeted therapies and immunotherapies. Given the nature of the study, we cannot dismiss the possibility that changes in other contributing factors may have influenced the declining melanoma mortality. While treatment methods can have an immediate effect on mortality, upstream factors such as changes in risk factors tend to exert a more gradual and diffuse influence. Therefore, it is less likely that any alterations in risk factors had an immediate impact on the observed rapid decline in mortality. However, caution must be exercised when attributing improved survival solely to immunotherapy therapies without data regarding their utilization among patients.</p>
<p>To our knowledge, this study presents the inaugural evidence of a marked sex-based disparity in the impact of immunotherapy advancements on melanoma, as measured by incidence-based mortality. The results revealed a significant downward trend in male mortality from 2015 to 2019, while female mortality exhibited stability. In terms of survival rates, there was a notable disparity between the two groups in 2000. The 2-year relative survival rate for male increased from 92.5% in 2001 to 95.1% in 2019, whereas the corresponding rate for female patients stood at 95.7% in 2001 and gradually rose to reach 96.7% after two decades. Despite being higher than that of male patients, the survival rates have further converged. And it indicated a greater benefit for male patients from innovative treatment strategies. A study in 2022 found that the baseline characteristics, peripheral inflammatory response, and treatment toxicity differ significantly between male and female patients with advanced melanoma under-going immunotherapy (<xref ref-type="bibr" rid="B27">27</xref>). More notably, our findings indicate that immunotherapy appears to be more beneficial for post-menopausal female patients. Moreover, another study&#x2019;s findings raise a concern: a higher incidence of melanoma is observed in women during their early life stages, whereas men exhibit increased rates in later life (<xref ref-type="bibr" rid="B28">28</xref>). The findings suggest that estrogen and progestins might exert a significant influence on melanoma pathogenesis and its resistance to immunotherapy. Research indicates that sex-based immuno-logical variations, which affect both innate and adaptive immune responses, are shaped by sex hormones and the genetic profiles that differ between males and females (<xref ref-type="bibr" rid="B29">29</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>).Early studies report female tumor immunogenicity is low, leads to lower the curative effect of immunotherapy (<xref ref-type="bibr" rid="B33">33</xref>). Our results hold implications for clinical practice and inform the direction of future research: primarily, the evaluation of immunotherapy strategies must consider gender as a potential risk and benefit factor, although additional studies are warranted to confirm this association and to elucidate the extent of gender&#x2019;s influence on the efficacy of immunotherapies. Secondly, when designing new immunotherapy studies, it is crucial for researchers to ensure equal participation of both women and men in clinical trials. Lastly, special consideration should be given to women before and after menopause as they may exhibit different reactions to immune therapy.</p>
<p>Although the study provides valuable information, it is crucial&#xa0;to&#xa0;acknowledge its limitations. Firstly, the SEER database lacks comprehensive data on targeted therapy and immunotherapy. Secondly, the relatively short follow-up duration after immunotherapy in melanoma patients within the SEER database hinders obtaining additional long-term survival outcomes. Thirdly, the prognosis provided by the SEER database is limited to survival time and does not include analysis of objective response rate (ORR), disease control rates (DCR), PFS, and quality of life. Finally, it is important to emphasize that initially immunotherapy was approved for the treatment of patients with unresectable or metastatic melanoma. However, subsequent publication of clinical trial results has expanded the application of immunotherapy in the broader spectrum of melanoma treatment. Nevertheless, it should be noted that this study included all patients with melanoma, which may introduce a certain degree of confounding bias. Based on the findings from clinical studies, there is evidence supporting the positive impact of immunotherapy across majority stages of melanoma; however, further validation in real-world settings and longer follow-up periods are warranted.</p>
<p>Our study indicates that since 2015, although the incidence of melanoma has not decreased, the clinical application of targeted therapies and immunotherapies has led to a significant reduction in incidence-based mortality. Combination immunotherapy treatment strategies have yielded greater benefits for male patients, while female patients, particularly those who are young, have not experienced significant advantages. Consequently, the assessment of risks and benefits of immunotherapy strategies in clinical research should take into account the patients&#x2019; gender. Further confirmation of this finding is warranted through larger-scale trials.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>Publicly available datasets were analyzed in this study. This data can be found here: URL: <uri xlink:href="https://seer.cancer.gov/">https://seer.cancer.gov/</uri>.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>QL: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. YD: Data curation, Software, Writing &#x2013; original draft. YMa: Formal analysis, Software, Writing &#x2013; original draft. YMo: Software, Writing &#x2013; original draft. JY: Data curation, Funding acquisition, Writing &#x2013; original draft. XL: Formal analysis, Investigation, Resources, Validation, Writing &#x2013; original draft.</p>
</sec>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the foundation of National Natural Science Foundation of Shandong Province (Grant No. ZR2022LZL007), National Natural Science Foundation of Shandong Province (Grant No. ZR2023MH012) and &#x201c;Youth Innovation Team Program&#x201d; of Shandong Higher Education Institution (2023KJ173).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We extend our appreciation to the SEER database and the National Cancer Database for their invaluable contributions to our research.</p>
</ack>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
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