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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">87</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:A116C711-4C18-5A38-8F1E-5E97753A8A64</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Folia Medica</journal-title>
        <abbrev-journal-title xml:lang="en">FM</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0204-8043</issn>
      <issn pub-type="epub">1314-2143</issn>
      <publisher>
        <publisher-name>Plovdiv Medical University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/folmed.67.e156329</article-id>
      <article-id pub-id-type="publisher-id">156329</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Review</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Pulmonology</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>﻿Association between pregnancy, reproductive hormones, and lung cancer risk: a systematic review</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Sotiropoulou</surname>
            <given-names>Eleni-Maria</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Sarantaki</surname>
            <given-names>Antigoni</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Georgakopoulou</surname>
            <given-names>Vasiliki Epameinondas</given-names>
          </name>
          <email xlink:type="simple">vaso_georgakopoulou@hotmail.com</email>
          <uri content-type="orcid">https://orcid.org/0000-0003-0772-811X</uri>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Kyrkou</surname>
            <given-names>Giannoula</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Diamanti</surname>
            <given-names>Athina</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">Department of Midwifery, Faculty of Health and Caring Sciences, University of West Attica, Athens, Greece</addr-line>
        <institution>University of West Attica</institution>
        <addr-line content-type="city">Athens</addr-line>
        <country>Greece</country>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line content-type="verbatim">Department of Pathophysiology, Laiko General Hospital, National and Kapodistrian University of Athens, Athens, Greece</addr-line>
        <institution>National and Kapodistrian University of Athens</institution>
        <addr-line content-type="city">Athens</addr-line>
        <country>Greece</country>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: Vasiliki E. Georgakopoulou, Department of Pathophysiology, Laiko General Hospital, Medical School of National and Kapodistrian University of Athens, 17 Agiou Thoma Street, 11527, Athens, Greece; Email: <email xlink:type="simple">vaso_georgakopoulou@hotmail.com</email>; Tel.: +00306938103639</p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>22</day>
        <month>10</month>
        <year>2025</year>
      </pub-date>
      <volume>67</volume>
      <issue>5</issue>
      <elocation-id>e156329</elocation-id>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/7CC7CEC0-3BA0-5FDC-9890-48D4E8A0FF7B">7CC7CEC0-3BA0-5FDC-9890-48D4E8A0FF7B</uri>
      <history>
        <date date-type="received">
          <day>18</day>
          <month>04</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>24</day>
          <month>04</month>
          <year>2025</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Eleni-Maria Sotiropoulou, Antigoni Sarantaki, Vasiliki Epameinondas Georgakopoulou, Giannoula Kyrkou, Athina Diamanti</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <abstract>
        <p>﻿<bold>Abstract</bold></p>
        <p>Lung cancer remains the leading cause of cancer-related mortality worldwide, with unique epidemiological and molecular patterns observed in women. Smoking is the primary risk factor for lung cancer. However, a significant number of cases in female never-smokers suggest other contributors, including reproductive and hormonal factors. This systematic review synthesizes evidence on the association between pregnancy, reproductive hormones, and lung cancer risk, with a focus on pregnancy-associated lung cancer (<abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EEE">PALC</abbrev>). Key findings include the protective role of higher parity, later menopause, and prolonged reproductive periods, attributed to hormonal stabilization and immune modulation. <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EIE">PALC</abbrev>, though rare, presents distinct challenges due to diagnostic delays and the need for pregnancy-specific treatment strategies. Molecular profiling highlights a high prevalence of actionable mutations, such as anaplastic lymphoma kinase (<abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0EME">ALK</abbrev>) rearrangements and epidermal growth factor receptor (<abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0EQE">EGFR</abbrev>) mutations, offering potential targets for therapy. However, the analysis also underscores significant gaps in knowledge. Confounding factors, particularly smoking, and heterogeneity in study designs limit causal inferences. Future research should prioritize large-scale cohort studies and mechanistic investigations to elucidate hormonal and genetic interactions. Clinically, integrating reproductive history into lung cancer risk models could enhance early detection and personalized management strategies, particularly in high-risk subgroups. This review contributes to the growing understanding of hormonal influences on lung cancer, emphasizing their potential as biomarkers and therapeutic targets.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>anaplastic lymphoma kinase</kwd>
        <kwd>epidermal growth factor receptor</kwd>
        <kwd>hormonal risk factors</kwd>
        <kwd>lung cancer</kwd>
        <kwd>molecular oncology</kwd>
        <kwd>reproductive hormones</kwd>
        <kwd>pregnancy-associated lung cancer</kwd>
      </kwd-group>
    </article-meta>
    <notes>
      <sec sec-type="Citation" id="SECID0E5E">
        <title>Citation:</title>
        <p>Sotiropoulou EM, Sarantaki A, Georgakopoulou VE, Kyrkou G, Diamanti A. Association between pregnancy, reproductive hormones, and lung cancer risk: a systematic review. Folia Med (Plovdiv) 2025;67(5):е156329. doi: <ext-link xlink:type="simple" ext-link-type="doi" xlink:href="10.3897/folmed.67.e156329">10.3897/folmed.67.e156329</ext-link>.</p>
      </sec>
    </notes>
  </front>
  <body>
    <sec sec-type="﻿Introduction" id="SECID0EKF">
      <title>﻿Introduction</title>
      <p>Lung cancer remains the leading cause of cancer-related mortality worldwide, accounting for significant morbidity and mortality among men and women alike.<sup>[<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>]</sup> Although smoking remains the primary risk factor, a considerable proportion of lung cancer cases occur in women who have never smoked, suggesting the presence of alternative contributing factors.<sup>[<xref ref-type="bibr" rid="B3">3</xref>]</sup> The differential incidence of lung cancer between sexes, the predominance of adenocarcinoma in women, and emerging evidence of estrogen receptor expression in lung tissue raise the question of a hormonal influence in lung carcinogenesis.<sup>[<xref ref-type="bibr" rid="B4">4</xref>]</sup> Reproductive and hormonal factors, such as pregnancy history, parity, age at menarche and menopause, and exposure to exogenous hormones, may play a role in modifying the risk of lung cancer, particularly in women.<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup></p>
      <p>Pregnancy-associated lung cancer (<abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0ERG">PALC</abbrev>) is defined as lung cancer diagnosed during pregnancy or within one year postpartum. It presents distinct clinical and epidemiological challenges. This systematic review highlights the intricate relationship between reproductive hormones and lung cancer susceptibility, underscoring estrogen’s multifaceted role in modulating risk.<sup>[<xref ref-type="bibr" rid="B6">6</xref>]</sup> Although rare, <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0E3G">PALC</abbrev> is associated with increasing maternal age at pregnancy and rising smoking prevalence among women of reproductive age. It poses complex diagnostic and treatment dilemmas due to overlapping symptoms with pregnancy and concerns about fetal safety during anticancer interventions.<sup>[<xref ref-type="bibr" rid="B7">7</xref>]</sup> Recent studies highlight the molecular characteristics of <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EHH">PALC</abbrev>, such as the high prevalence of driver mutations like anaplastic lymphoma kinase (<abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0ELH">ALK</abbrev>) rearrangements and epidermal growth factor receptor (<abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0EPH">EGFR</abbrev>) mutations, which may influence treatment strategies and prognosis.<sup>[<xref ref-type="bibr" rid="B8 B9 B10">8–10</xref>]</sup></p>
      <p>In addition to <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0E2H">PALC</abbrev>, the role of reproductive factors in lung cancer risk has been extensively investigated.<sup>[<xref ref-type="bibr" rid="B11">11</xref>]</sup> Parity has emerged as a potential protective factor, with higher parity associated with reduced lung cancer risk in several studies. Similarly, later age at menopause and a longer reproductive period have been linked to lower risk, particularly among lifetime nonsmokers.<sup>[<xref ref-type="bibr" rid="B11">11</xref>]</sup> Conversely, conditions such as pre-eclampsia, a pregnancy-related hypertensive disorder, have shown inconsistent associations with lung cancer risk, with some studies reporting an elevated incidence of lung and other cancers in affected women.<sup>[<xref ref-type="bibr" rid="B12">12</xref>]</sup></p>
      <p>Despite these findings, the relationship between pregnancy, reproductive hormones, and lung cancer risk remains poorly understood. The heterogeneity of study designs, limited sample sizes, and confounding factors, particularly smoking, contribute to the inconsistent results in literature. A systematic synthesis of available evidence is necessary to clarify these associations, identify potential biological mechanisms, and inform future research directions.</p>
      <p>This systematic review aims to investigate the clinical features, molecular characteristics, and outcomes of <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EXAAC">PALC</abbrev>, with a focus on the association between reproductive and hormonal factors and lung cancer risk in women. It also examines the impact of pregnancy complications, such as pre-eclampsia, on lung cancer incidence. By consolidating current evidence, this review seeks to provide a comprehensive understanding of the interplay between pregnancy, reproductive hormones, and lung cancer, highlighting potential risk modifiers and clinical considerations for this unique population.</p>
    </sec>
    <sec sec-type="materials|methods" id="SECID0E2AAC">
      <title>﻿Materials and methods</title>
      <p>This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (<abbrev xlink:title="Preferred Reporting Items for Systematic Reviews and Meta-Analyses" id="ABBRID0EBBAC">PRISMA</abbrev>) guidelines to ensure methodological rigor and transparency.<sup>[<xref ref-type="bibr" rid="B13">13</xref>]</sup> This systematic review has been registered in the International Prospective Register of Systematic Reviews (<abbrev xlink:title="International Prospective Register of Systematic Reviews" id="ABBRID0EMBAC">PROSPERO</abbrev>) with ID number CRD42024629181.</p>
      <sec sec-type="﻿Search strategy" id="SECID0EQBAC">
        <title>﻿Search strategy</title>
        <p>The following electronic databases were searched: PubMed/MEDLINE, EMBASE, Scopus, Cochrane Library, and Web of Science.</p>
        <p>The search included keywords and Medical Subject Headings (<abbrev xlink:title="Medical Subject Headings" id="ABBRID0EXBAC">MeSH</abbrev>) terms related to lung cancer, pregnancy, reproductive factors, and reproductive hormones. Example terms included “lung cancer,” “non-small cell lung carcinoma,” “pregnancy-associated cancer,” “reproductive factors,” “parity,” “menopause,” “reproductive hormones,” and “pre-eclampsia.” Boolean operators (AND, <abbrev xlink:title="odds ratio" id="ABBRID0E2BAC">OR</abbrev>) were used to combine terms effectively. In addition, grey literature sources and the reference lists of relevant studies were reviewed to identify additional articles.</p>
      </sec>
      <sec sec-type="﻿Inclusion and exclusion criteria" id="SECID0E6BAC">
        <title>﻿Inclusion and exclusion criteria</title>
        <p>The inclusion and exclusion criteria for this review are as follows:</p>
        <p><bold>Inclusion criteria</bold>: a) Women diagnosed with lung cancer, with a specific focus on <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EICAC">PALC</abbrev>; b) Studies assessing reproductive history (e.g., parity, age at menarche, menopause, and first/last birth); c) Studies evaluating pregnancy complications (e.g., pre-eclampsia) as potential risk factors; d) Observational study designs (cohort, case-control, cross-sectional) and clinical studies; e) Studies published in English between 2004 and 2024; and f) Studies providing sufficient detail on confounders, particularly smoking history.</p>
        <p><bold>Exclusion criteria</bold>: a) Studies that do not provide specific data on reproductive history and lung cancer outcomes; b) Studies lacking detailed reporting on smoking status or failing to adjust for smoking as a confounder; c) Studies including mixed-gender populations without sex-stratified analysis; d) Case reports and reviews without primary data.</p>
      </sec>
      <sec sec-type="﻿Handling of confounding variables" id="SECID0EQCAC">
        <title>﻿Handling of confounding variables</title>
        <p>To enhance the study’s reproducibility and validity, the handling of confounding variables was a priority in study selection: a) <bold>Smoking history</bold>: Since smoking is a primary confounder in lung cancer risk, included studies were required to either stratify results by smoking status (never smokers vs. ever smokers) or adjust for smoking in multivariable analyses; b) <bold>Comorbidities</bold>: Studies were assessed for adjustments related to other lung cancer risk factors such as chronic obstructive pulmonary disease (<abbrev xlink:title="chronic obstructive pulmonary disease" id="ABBRID0E1CAC">COPD</abbrev>), occupational exposures, and family history of cancer; c) <bold>Hormonal therapy</bold>: Given the potential influence of hormone replacement therapy (<abbrev xlink:title="hormone replacement therapy" id="ABBRID0EADAC">HRT</abbrev>) on lung cancer risk, studies reporting on <abbrev xlink:title="hormone replacement therapy" id="ABBRID0EEDAC">HRT</abbrev> use were included only if they provided stratified analyses or adjustments in their models, and d) <bold>Socioeconomic and environmental factors</bold>: Studies controlling for air pollution, diet, and socioeconomic status were given preference in quality assessment.</p>
      </sec>
      <sec sec-type="﻿PRISMA process" id="SECID0EKDAC">
        <title>﻿PRISMA process</title>
        <p>The flowchart of study selection process is provided in <bold>Fig. <xref ref-type="fig" rid="F1">1</xref></bold>.</p>
        <fig id="F1" position="float" orientation="portrait">
          <object-id content-type="arpha">732C9C80-081E-5825-9D1B-A2AACBB956EC</object-id>
          <label>Figure 1.</label>
          <caption>
            <p>Flowchart of the study selection process.</p>
          </caption>
          <graphic xlink:href="foliamedica-67-5-e156329-g001.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_1446594.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1446594</uri>
          </graphic>
        </fig>
      </sec>
      <sec sec-type="﻿Identification" id="SECID0EHEAC">
        <title>﻿Identification</title>
        <p>The initial search across databases, grey literature, and references of retrieved studies yielded n=2,650 articles. After removing duplicates, 2,500 articles entered the screening process.</p>
      </sec>
      <sec sec-type="﻿Screening" id="SECID0EMEAC">
        <title>﻿Screening</title>
        <p>The titles and abstracts of the 2,500 articles were reviewed to exclude irrelevant studies. Articles were retained if they mentioned lung cancer risk in women concerning reproductive or hormonal factors or focused on <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0ESEAC">PALC</abbrev>. Following this step, the number of studies was reduced to n=250.</p>
      </sec>
      <sec sec-type="﻿Eligibility" id="SECID0EWEAC">
        <title>﻿Eligibility</title>
        <p>The full text of 250 studies was assessed against predefined inclusion criteria. Eligible studies included those focused on women with lung cancer or <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0E3EAC">PALC</abbrev>, examining exposures such as reproductive factors (e.g., parity, menopause, pre-eclampsia), and reporting outcomes related to lung cancer incidence, clinical characteristics, or survival. Studies were excluded if they lacked outcome data, focused on irrelevant populations, or did not meet the inclusion criteria (n=242).</p>
      </sec>
      <sec sec-type="﻿Inclusion" id="SECID0EAFAC">
        <title>﻿Inclusion</title>
        <p>A final selection of n=8 studies was made based on their relevance and alignment with the review objectives. These studies included investigations on the association of parity, menopause, and pre-eclampsia with lung cancer risk, as well as analyses of <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EGFAC">PALC</abbrev> and its treatment outcomes.</p>
      </sec>
      <sec sec-type="﻿Quality assessment" id="SECID0EKFAC">
        <title>﻿Quality assessment</title>
        <p>The quality of included studies was assessed by two independent reviewers using the Newcastle-Ottawa Scale (<abbrev xlink:title="Newcastle-Ottawa Scale" id="ABBRID0EQFAC">NOS</abbrev>) for observational studies.<sup>[<xref ref-type="bibr" rid="B14">14</xref>]</sup> Risk of bias was evaluated based on study design, sample selection, comparability of groups, and outcome measurement. Studies were categorized as low, moderate, or high quality. The quality assessment of the included studies is provided in the <bold>Appendix</bold> with supplementary data.</p>
      </sec>
      <sec sec-type="﻿Data extraction" id="SECID0E4FAC">
        <title>﻿Data extraction</title>
        <p>Data was extracted independently by two reviewers using a standardized data extraction form. The following information was collected: authors, year of publication, country, type of study, sample size, study population, exposure or variables assessed, outcomes, and key findings.</p>
      </sec>
    </sec>
    <sec sec-type="﻿Results" id="SECID0ECGAC">
      <title>﻿Results</title>
      <p>A total of 8 studies were included in this systematic review, evaluating the association between reproductive and hormonal factors and lung cancer risk in women.<sup>[<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B15 B16 B17 B18 B19 B20">15–20</xref>]</sup></p>
      <p>The summary of the studies’ characteristics is displayed in <bold>Table <xref ref-type="table" rid="T1">1</xref></bold>.</p>
      <table-wrap id="T1" position="float" orientation="portrait">
        <label>Table 1.</label>
        <caption>
          <p>Summary of the included studies</p>
        </caption>
        <table id="TID0EVIAG" rules="all">
          <tbody>
            <tr>
              <td rowspan="1" colspan="1"><bold>Authors (year of publication, country</bold>)</td>
              <td rowspan="1" colspan="1">
                <bold>Type of study</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Sample</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>What was measured</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Outcomes</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Key findings</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Paltiel et al.<sup>[<xref ref-type="bibr" rid="B15">15</xref>]</sup> (2004, Israel)</td>
              <td rowspan="1" colspan="1">Cohort study</td>
              <td rowspan="1" colspan="1">37,033 women (Jerusalem perinatal study)</td>
              <td rowspan="1" colspan="1">History of pre-eclampsia and cancer incidence</td>
              <td rowspan="1" colspan="1">Risk of overall and site-specific cancers</td>
              <td rowspan="1" colspan="1">Women with pre-eclampsia had an increased risk of cancer, particularly stomach (<abbrev xlink:title="hazard ratio" id="ABBRID0ELJAC">HR</abbrev>=3.10, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EPJAC">CI</abbrev> [1.23, 7.84]), (<italic>p</italic>=0.017), ovary (<abbrev xlink:title="hazard ratio" id="ABBRID0EVJAC">HR</abbrev>=2.32, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EZJAC">CI</abbrev> [1.01, 5.34]), (<italic>p</italic>=0.047), breast (<abbrev xlink:title="hazard ratio" id="ABBRID0E6JAC">HR</abbrev>=1.38, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EDKAC">CI</abbrev> [1.0, 1.89]), (<italic>p</italic>=0.046), and lung/larynx cancers (<abbrev xlink:title="hazard ratio" id="ABBRID0EJKAC">HR</abbrev>=2.81, 95% <abbrev xlink:title="confidence interval" id="ABBRID0ENKAC">CI</abbrev> [1.12, 7.05]), (<italic>p</italic>=0.028).</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Weiss et al.<sup>[<xref ref-type="bibr" rid="B16">16</xref>]</sup> (2008, China)</td>
              <td rowspan="1" colspan="1">Prospective cohort</td>
              <td rowspan="1" colspan="1">71,314 lifetime nonsmoking women</td>
              <td rowspan="1" colspan="1">Hormonal and reproductive factors in women</td>
              <td rowspan="1" colspan="1">Incidence of lung cancer among nonsmokers</td>
              <td rowspan="1" colspan="1">Later menopause (<abbrev xlink:title="hazard ratio" id="ABBRID0EPLAC">HR</abbrev>=0.63, 95% <abbrev xlink:title="confidence interval" id="ABBRID0ETLAC">CI</abbrev> [0.40, 1.00]), (<italic>p</italic>=0.03), longer reproductive period (<abbrev xlink:title="hazard ratio" id="ABBRID0EZLAC">HR</abbrev>=0.60, 95% <abbrev xlink:title="confidence interval" id="ABBRID0E4LAC">CI</abbrev> [0.39, 0.93]), (<italic>p</italic>&lt;0.01), higher parity (<abbrev xlink:title="hazard ratio" id="ABBRID0EDMAC">HR</abbrev>=0.42, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EHMAC">CI</abbrev> [0.19, 0.90]), (<italic>p</italic>&lt;0.01), and intrauterine device use (<abbrev xlink:title="hazard ratio" id="ABBRID0ENMAC">HR</abbrev>=0.59, 95% <abbrev xlink:title="confidence interval" id="ABBRID0ERMAC">CI</abbrev> [0.41, 0.86]), (<italic>p</italic>=0.01) were associated with a reduced risk of lung cancer among lifetime nonsmoking women.</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Koushik et al.<sup>[<xref ref-type="bibr" rid="B17">17</xref>]</sup> (2009, Canada)</td>
              <td rowspan="1" colspan="1">Population-based case-control</td>
              <td rowspan="1" colspan="1">422 women with lung cancer, 577 controls</td>
              <td rowspan="1" colspan="1">Hormonal and reproductive factors in women</td>
              <td rowspan="1" colspan="1">Risk of lung cancer related to menopause and pregnancy</td>
              <td rowspan="1" colspan="1">Non-natural menopause (<abbrev xlink:title="odds ratio" id="ABBRID0ETNAC">OR</abbrev>=1.92, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EXNAC">CI</abbrev> [1.22, 3.01]), particularly bilateral oophorectomy (<abbrev xlink:title="odds ratio" id="ABBRID0E2NAC">OR</abbrev>=1.77, 95% <abbrev xlink:title="confidence interval" id="ABBRID0E6NAC">CI</abbrev> [1.11, 2.83]), (<italic>p</italic>=0.02), was associated with an increased risk of lung cancer. Additionally, age at menopause was inversely associated with lung cancer risk, although the trend was not statistically significant (<abbrev xlink:title="odds ratio" id="ABBRID0EFOAC">OR</abbrev>=0.66 for menopause at ≥51 years, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EJOAC">CI</abbrev> [0.38, 1.16].</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Meinhold et al.<sup>[<xref ref-type="bibr" rid="B18">18</xref>]</sup> (2011, USA)</td>
              <td rowspan="1" colspan="1">Case-control (hospital and population-based)</td>
              <td rowspan="1" colspan="1">430 women with <abbrev xlink:title="non-small cell lung cancer" id="ABBRID0EAPAC">NSCLC</abbrev>, 316 hospital controls, 295 population controls</td>
              <td rowspan="1" colspan="1">Reproductive and hormonal factors in women</td>
              <td rowspan="1" colspan="1">Risk of non-small cell lung cancer</td>
              <td rowspan="1" colspan="1">Higher parity (≥5 births) was associated with a significantly reduced risk of <abbrev xlink:title="non-small cell lung cancer" id="ABBRID0EOPAC">NSCLC</abbrev> (<abbrev xlink:title="odds ratio" id="ABBRID0ESPAC">OR</abbrev>=0.50, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EWPAC">CI</abbrev> [0.32, 0.78]), (<italic>p</italic>-trend=0.002), and later age at last birth (≥30 years) showed a weak inverse association with lung cancer risk (<abbrev xlink:title="odds ratio" id="ABBRID0E3PAC">OR</abbrev>=0.68, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EBAAE">CI</abbrev> [0.48, 0.98]), (<italic>p</italic>-trend=0.04). However, no associations were found with age at menarche, menopausal status, oral contraceptive use, or menopausal hormone therapy.</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Yang et al.<sup>[<xref ref-type="bibr" rid="B19">19</xref>]</sup> (2021, China)</td>
              <td rowspan="1" colspan="1">Retrospective pooled analysis</td>
              <td rowspan="1" colspan="1">77 patients with pregnancy-associated <abbrev xlink:title="non-small cell lung cancer" id="ABBRID0E1AAE">NSCLC</abbrev></td>
              <td rowspan="1" colspan="1">Clinical and molecular features, survival</td>
              <td rowspan="1" colspan="1">Overall survival and fetal complications</td>
              <td rowspan="1" colspan="1">Patients with <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0EHBAE">ALK</abbrev>-positive <abbrev xlink:title="non-small cell lung cancer" id="ABBRID0ELBAE">NSCLC</abbrev> had significantly better survival (median <abbrev xlink:title="overall survival" id="ABBRID0EPBAE">OS</abbrev>: 52.9 months, <abbrev xlink:title="hazard ratio" id="ABBRID0ETBAE">HR</abbrev>=0.52, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EXBAE">CI</abbrev> [0.31, 0.89]), (<italic>p</italic>=0.02), and <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0E4BAE">EGFR</abbrev>-mutant <abbrev xlink:title="non-small cell lung cancer" id="ABBRID0EBCAE">NSCLC</abbrev> was also associated with improved outcomes (median <abbrev xlink:title="overall survival" id="ABBRID0EFCAE">OS</abbrev>: 44.1 months, <abbrev xlink:title="hazard ratio" id="ABBRID0EJCAE">HR</abbrev>=0.61, 95% <abbrev xlink:title="confidence interval" id="ABBRID0ENCAE">CI</abbrev> [0.37, 0.98]), (<italic>p</italic>=0.04). However, no significant difference in overall survival was observed between patients treated during pregnancy and those treated post-delivery (<abbrev xlink:title="hazard ratio" id="ABBRID0ETCAE">HR</abbrev>=1.08, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EXCAE">CI</abbrev> [0.63, 1.85]), (<italic>p</italic>=0.74), and fetal complications were not significantly increased among treated patients.</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Dagogo-Jack et al.<sup>[<xref ref-type="bibr" rid="B8">8</xref>]</sup> (2016, USA)</td>
              <td rowspan="1" colspan="1">Retrospective analysis</td>
              <td rowspan="1" colspan="1">8 women with pregnancy/peripartum <abbrev xlink:title="non-small cell lung cancer" id="ABBRID0EQDAE">NSCLC</abbrev></td>
              <td rowspan="1" colspan="1">Clinical characteristics, molecular features, and treatment outcomes</td>
              <td rowspan="1" colspan="1">Survival and progression-free survival</td>
              <td rowspan="1" colspan="1">Six of the eight women diagnosed with <abbrev xlink:title="non-small cell lung cancer" id="ABBRID0E4DAE">NSCLC</abbrev> during pregnancy or the peripartum period had <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0EBEAE">ALK</abbrev> rearrangements, while two had <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0EFEAE">EGFR</abbrev> mutations (<italic>p</italic>=0.053). All patients received genotype-directed therapies post-delivery, with progression-free survival (<abbrev xlink:title="progression-free survival" id="ABBRID0ELEAE">PFS</abbrev>) ranging from 5 to 60 weeks for <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0EPEAE">ALK</abbrev>-positive cases (median <abbrev xlink:title="progression-free survival" id="ABBRID0ETEAE">PFS</abbrev>: 16 weeks) and 18 to 28 weeks for <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0EXEAE">EGFR</abbrev>-mutant cases. The median overall survival (<abbrev xlink:title="overall survival" id="ABBRID0E2EAE">OS</abbrev>) was not reached at a median follow-up of 30 months, and all patients survived beyond 4.5 months, exceeding historical median <abbrev xlink:title="overall survival" id="ABBRID0E6EAE">OS</abbrev> estimates for <abbrev xlink:title="non-small cell lung cancer" id="ABBRID0EDFAE">NSCLC</abbrev> diagnosed during pregnancy.</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Pesatori et al.<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup> (2013, Italy)</td>
              <td rowspan="1" colspan="1">Population-based case-control</td>
              <td rowspan="1" colspan="1">407 cases, 499 controls</td>
              <td rowspan="1" colspan="1">Reproductive and hormonal factors and lung cancer risk</td>
              <td rowspan="1" colspan="1">Odds ratios for lung cancer based on reproductive factors</td>
              <td rowspan="1" colspan="1">Later age at menopause (≥51 years) was associated with a significantly reduced risk of lung cancer (<abbrev xlink:title="odds ratio" id="ABBRID0EDGAE">OR</abbrev>=0.49, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EHGAE">CI</abbrev> [0.31, 0.79]), (<italic>p</italic>-trend=0.003), as was a longer reproductive period (≥41 years: <abbrev xlink:title="odds ratio" id="ABBRID0ENGAE">OR</abbrev>=0.44, 95% <abbrev xlink:title="confidence interval" id="ABBRID0ERGAE">CI</abbrev> [0.25, 0.79]), (<italic>p</italic>-trend=0.01). Hormone replacement therapy (<abbrev xlink:title="Hormone replacement therapy" id="ABBRID0EXGAE">HRT</abbrev>) use was also protective (<abbrev xlink:title="odds ratio" id="ABBRID0E2GAE">OR</abbrev>=0.63, 95% <abbrev xlink:title="confidence interval" id="ABBRID0E6GAE">CI</abbrev> [0.42, 0.95]), (<italic>p</italic>=0.03), while induced menopause increased lung cancer risk (<abbrev xlink:title="odds ratio" id="ABBRID0EFHAE">OR</abbrev>=2.58, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EJHAE">CI</abbrev> [1.02, 6.56]), (<italic>p</italic>=0.05). No associations were found for age at menarche, breastfeeding, or parity.</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Yang et al.<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup> (2021, China)</td>
              <td rowspan="1" colspan="1">Population-based cohort</td>
              <td rowspan="1" colspan="1">553,434 females aged 40–74 years</td>
              <td rowspan="1" colspan="1">Menstrual and reproductive factors; risk of lung cancer and adenocarcinoma</td>
              <td rowspan="1" colspan="1">Hazard ratios for lung cancer based on reproductive factors</td>
              <td rowspan="1" colspan="1">Later age at menarche (≥15 years) was associated with an increased risk of lung cancer (<abbrev xlink:title="hazard ratio" id="ABBRID0ELIAE">HR</abbrev>=1.21, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EPIAE">CI</abbrev> [1.07, 1.37]), as was later menopause (≥53 years: <abbrev xlink:title="hazard ratio" id="ABBRID0ETIAE">HR</abbrev>=1.18, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EXIAE">CI</abbrev> [1.01, 1.38]) and later first live birth (≥30 years: <abbrev xlink:title="hazard ratio" id="ABBRID0E2IAE">HR</abbrev>=1.12, 95% <abbrev xlink:title="confidence interval" id="ABBRID0E6IAE">CI</abbrev> [1.01, 1.24]). Surgical menopause significantly increased lung cancer risk (<abbrev xlink:title="hazard ratio" id="ABBRID0EDJAE">HR</abbrev>=1.23, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EHJAE">CI</abbrev> [1.09, 1.38]), whereas breastfeeding for ≥12 months was associated with a lower risk of lung adenocarcinoma (<abbrev xlink:title="hazard ratio" id="ABBRID0ELJAE">HR</abbrev>=0.89, 95% <abbrev xlink:title="confidence interval" id="ABBRID0EPJAE">CI</abbrev> [0.81, 0.98]).</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p><abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0EXJAE">ALK</abbrev>: anaplastic lymphoma kinase; <abbrev xlink:title="confidence interval" id="ABBRID0E2JAE">CI</abbrev>: confidence interval; <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0E6JAE">EGFR</abbrev>: epidermal growth factor receptor; <abbrev xlink:title="hormone replacement therapy" id="ABBRID0EDKAE">HRT</abbrev>: hormone replacement therapy; <abbrev xlink:title="hazard ratio" id="ABBRID0EHKAE">HR</abbrev>: hazard ratio; <abbrev xlink:title="non-small cell lung cancer" id="ABBRID0ELKAE">NSCLC</abbrev>: non-small cell lung cancer; <abbrev xlink:title="odds ratio" id="ABBRID0EPKAE">OR</abbrev>; odds ratio; <abbrev xlink:title="overall survival" id="ABBRID0ETKAE">OS</abbrev>; overall survival; <abbrev xlink:title="progression-free survival" id="ABBRID0EXKAE">PFS</abbrev>: progression-free survival</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <sec sec-type="﻿Later menopause is associated with decreased lung cancer risk" id="SECID0E2KAE">
        <title>﻿Later menopause is associated with decreased lung cancer risk</title>
        <p>Later menopause (≥51 years) significantly reduces lung cancer risk [hazard ratio (<abbrev xlink:title="hazard ratio" id="ABBRID0EBLAE">HR</abbrev>) 0.49–0.63], indicating a protective role of prolonged exposure to endogenous estrogens. This finding is supported by Weiss et al.<sup>[<xref ref-type="bibr" rid="B15">15</xref>]</sup> and Pesatori et al.<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup>, highlighting the sustained effects of hormonal stability in mitigating lung carcinogenesis.</p>
      </sec>
      <sec sec-type="﻿Surgical menopause increases lung cancer risk" id="SECID0ETLAE">
        <title>﻿Surgical menopause increases lung cancer risk</title>
        <p>An increased lung cancer risk (<abbrev xlink:title="hazard ratio" id="ABBRID0EZLAE">HR</abbrev> 1.62–1.92) is observed in women undergoing surgical menopause, particularly those with bilateral oophorectomy. This underscores the detrimental impact of abrupt hormonal changes on carcinogenic processes, as shown by Koushik et al.<sup>[<xref ref-type="bibr" rid="B17">17</xref>]</sup> and Yang et al.<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup></p>
      </sec>
      <sec sec-type="﻿Hormone replacement therapy (HRT) decreases lung cancer risk" id="SECID0EKMAE">
        <title>﻿Hormone replacement therapy (HRT) decreases lung cancer risk</title>
        <p><abbrev xlink:title="hormone replacement therapy" id="ABBRID0EVMAE">HRT</abbrev> demonstrates a protective association, reducing lung cancer risk by approximately 37% (odds ratio (<abbrev xlink:title="odds ratio" id="ABBRID0EZMAE">OR</abbrev>)=0.63; 95% <abbrev xlink:title="confidence interval" id="ABBRID0E4MAE">CI</abbrev> [0.42, 0.95]). This is likely due to the role of <abbrev xlink:title="hormone replacement therapy" id="ABBRID0EBNAE">HRT</abbrev> in stabilizing hormonal levels, as detailed by Pesatori et al.<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup> and Meinhold et al.<sup>[<xref ref-type="bibr" rid="B18">18</xref>]</sup></p>
      </sec>
      <sec sec-type="﻿Higher parity significantly reduces lung cancer risk" id="SECID0ESNAE">
        <title>﻿Higher parity significantly reduces lung cancer risk</title>
        <p>Higher parity (≥5 live births) correlates with a 50% reduction in lung cancer risk (<abbrev xlink:title="odds ratio" id="ABBRID0EYNAE">OR</abbrev>=0.50; 95% <abbrev xlink:title="confidence interval" id="ABBRID0E3NAE">CI</abbrev> [0.32, 0.78]). This protective effect is attributed to pregnancy-induced hormonal and immune modifications.<sup>[<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B18">18</xref>]</sup></p>
      </sec>
      <sec sec-type="﻿A longer reproductive period is linked to decreased lung cancer risk" id="SECID0EKOAE">
        <title>﻿A longer reproductive period is linked to decreased lung cancer risk</title>
        <p>Women with a longer reproductive period (&gt;36 years) show a reduced lung cancer risk (<abbrev xlink:title="hazard ratio" id="ABBRID0EQOAE">HR</abbrev> 0.60; 95% <abbrev xlink:title="confidence interval" id="ABBRID0EUOAE">CI</abbrev> [0.39, 0.93]). Prolonged estrogen exposure appears central to this protective effect.<sup>[<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>]</sup></p>
      </sec>
      <sec sec-type="﻿Later first live birth decreases lung cancer risk" id="SECID0ECPAE">
        <title>﻿Later first live birth decreases lung cancer risk</title>
        <p>Later first live births (≥31 years) are inversely associated with lung cancer risk (<abbrev xlink:title="odds ratio" id="ABBRID0EIPAE">OR</abbrev>=0.57; 95% <abbrev xlink:title="confidence interval" id="ABBRID0EMPAE">CI</abbrev> [0.31, 1.06]). This finding highlights the protective timing of hormonal and cellular adaptations during pregnancy, as documented by Pesatori et al.<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup></p>
      </sec>
      <sec sec-type="﻿Pregnancy-associated lung cancer (PALC) is linked to a high prevalence of actionable driver mutations" id="SECID0EWPAE">
        <title>﻿Pregnancy-associated lung cancer (PALC) is linked to a high prevalence of actionable driver mutations</title>
        <p>Adenocarcinoma is the predominant histologic subtype in lung cancers associated with reproductive factors. Parity and longer reproductive periods show amplified protective effects in this subtype.<sup>[<xref ref-type="bibr" rid="B16">16</xref>,<xref ref-type="bibr" rid="B18">18</xref>]</sup></p>
        <p><abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EJQAE">PALC</abbrev> exhibits high rates of actionable driver mutations, such as <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0ENQAE">ALK</abbrev> rearrangements (47%) and <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0ERQAE">EGFR</abbrev> mutations (32%) . These mutations significantly influence therapeutic responses, as reported by Dagogo-Jack et al.<sup>[<xref ref-type="bibr" rid="B8">8</xref>]</sup> and Yang et al.<sup>[<xref ref-type="bibr" rid="B19">19</xref>]</sup></p>
      </sec>
      <sec sec-type="﻿Clinical features of pregnancy-associated lung cancer" id="SECID0ECRAE">
        <title>﻿Clinical features of pregnancy-associated lung cancer</title>
        <p>Lung cancer diagnosed during pregnancy or the peripartum period is often present at advanced stages, particularly adenocarcinoma. Overlapping symptoms with pregnancy-related conditions delay diagnoses, as noted by some researchers.<sup>[<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B19">19</xref>]</sup> Chemotherapy during pregnancy frequently results in fetal complications, including preterm delivery and low birth weight.<sup>[<xref ref-type="bibr" rid="B19">19</xref>]</sup></p>
      </sec>
      <sec sec-type="﻿Modifying factors and confounders" id="SECID0EZRAE">
        <title>﻿Modifying factors and confounders</title>
        <p>Hormonal factors independently influence lung cancer risk, even after accounting for environmental and occupational exposures.<sup>[<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B16">16</xref>]</sup> Protective effects of parity and hormonal factors are robust across smoking statuses, emphasizing their biological significance.<sup>[<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B18">18</xref>]</sup></p>
      </sec>
      <sec sec-type="﻿Subgroup analyses" id="SECID0EUSAE">
        <title>﻿Subgroup analyses</title>
        <p>To address potential heterogeneity in the included studies, subgroup analyses were performed based on key demographic, clinical, and methodological factors. These analyses provided insights into variations in lung cancer risk associated with reproductive and hormonal factors across different population subsets.</p>
      </sec>
      <sec sec-type="﻿Smoking status (never smokers vs. ever smokers)" id="SECID0EZSAE">
        <title>﻿Smoking status (never smokers vs. ever smokers)</title>
        <p>Several studies stratified their results by smoking status to assess whether reproductive factors independently influenced lung cancer risk. Findings indicated that the protective effects of higher parity, later menopause, and prolonged reproductive periods were more pronounced among never-smokers. Weiss et al.<sup>[<xref ref-type="bibr" rid="B16">16</xref>]</sup> and Meinhold et al.<sup>[<xref ref-type="bibr" rid="B18">18</xref>]</sup> reported that these associations remained significant even after adjusting for smoking, suggesting an intrinsic hormonal influence on lung carcinogenesis.</p>
      </sec>
      <sec sec-type="﻿Parity (low vs. high)" id="SECID0ENTAE">
        <title>﻿Parity (low vs. high)</title>
        <p>The impact of parity on lung cancer risk varied across studies, with higher parity (≥5 live births) consistently associated with a significant reduction in lung cancer risk (<abbrev xlink:title="odds ratio" id="ABBRID0ETTAE">OR</abbrev>=0.50; 95% <abbrev xlink:title="confidence interval" id="ABBRID0EXTAE">CI</abbrev> [0.32, 0.78]).<sup>[<xref ref-type="bibr" rid="B18">18</xref>]</sup> In contrast, women with lower parity (1-2 live births) exhibited a weaker protective effect, reinforcing the hypothesis that cumulative hormonal exposure plays a crucial role in modulating lung cancer susceptibility.</p>
      </sec>
      <sec sec-type="﻿Menopause type (natural vs. surgical)" id="SECID0ECUAE">
        <title>﻿Menopause type (natural vs. surgical)</title>
        <p>Subgroup analyses revealed a marked difference in lung cancer risk based on menopause type. Women who underwent surgical menopause, particularly bilateral oophorectomy, exhibited a significantly increased risk (<abbrev xlink:title="odds ratio" id="ABBRID0EIUAE">OR</abbrev>=1.92; 95% <abbrev xlink:title="confidence interval" id="ABBRID0EMUAE">CI</abbrev> [1.22, 3.01]).<sup>[<xref ref-type="bibr" rid="B17">17</xref>]</sup> In contrast, those experiencing natural menopause demonstrated a protective effect, particularly when menopause occurred at later ages (≥51 years, <abbrev xlink:title="odds ratio" id="ABBRID0EXUAE">OR</abbrev>=0.49; 95% <abbrev xlink:title="confidence interval" id="ABBRID0E2UAE">CI</abbrev> [0.31, 0.79]).<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup></p>
      </sec>
      <sec sec-type="﻿Study design (case-control vs. cohort)" id="SECID0EFVAE">
        <title>﻿Study design (case-control vs. cohort)</title>
        <p>Variability in study design influenced the magnitude of observed associations. Prospective cohort studies, such as those by Weiss et al.<sup>[<xref ref-type="bibr" rid="B16">16</xref>]</sup> and Yang et al.<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup>, generally reported more robust associations between reproductive factors and lung cancer risk, likely due to better control of confounding variables. In contrast, case-control studies, such as those by Koushik et al.<sup>[<xref ref-type="bibr" rid="B17">17</xref>]</sup> and Pesatori et al.<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup>, provided supportive but slightly attenuated findings, possibly due to recall and selection bias.</p>
      </sec>
      <sec sec-type="﻿Region (Asian vs. Western populations)" id="SECID0EHWAE">
        <title>﻿Region (Asian vs. Western populations)</title>
        <p>Geographic variation played a role in the observed associations. Studies conducted in Asian populations (e.g., China) reported stronger associations between reproductive factors and lung cancer risk compared to Western studies. Yang et al.<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup> found that later age at first birth (≥30 years) was associated with a higher risk of lung cancer (<abbrev xlink:title="hazard ratio" id="ABBRID0EUWAE">HR</abbrev>=1.12; 95% <abbrev xlink:title="confidence interval" id="ABBRID0EYWAE">CI</abbrev> [1.01, 1.24]), whereas Western studies did not report a similar trend. These regional differences may reflect genetic predispositions, environmental exposures, or cultural differences in reproductive patterns.</p>
      </sec>
      <sec sec-type="﻿Histological subtype (NSCLC vs. adenocarcinoma)" id="SECID0E3WAE">
        <title>﻿Histological subtype (NSCLC vs. adenocarcinoma)</title>
        <p>The protective effects of reproductive and hormonal factors appeared more pronounced in adenocarcinoma compared to other <abbrev xlink:title="non-small cell lung cancer" id="ABBRID0EHXAE">NSCLC</abbrev> subtypes. Studies focusing on <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0ELXAE">PALC</abbrev> found a high prevalence of actionable driver mutations, such as <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0EPXAE">ALK</abbrev> rearrangements and <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0ETXAE">EGFR</abbrev> mutations, particularly in never-smokers.<sup>[<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B19">19</xref>]</sup> The correlation between hormonal factors and adenocarcinoma risk suggests potential estrogen-mediated mechanisms influencing lung cancer pathogenesis.</p>
      </sec>
    </sec>
    <sec sec-type="﻿Discussion" id="SECID0ECYAE">
      <title>﻿Discussion</title>
      <p>Our review aligns with the findings of Yin et al.<sup>[<xref ref-type="bibr" rid="B11">11</xref>]</sup> in emphasizing the significant role of reproductive and hormonal factors in influencing lung cancer risk in women. Both reviews highlight the protective effects of higher parity and prolonged reproductive periods, as well as the increased risk associated with abrupt hormonal changes, such as those following non-natural menopause. However, our review expands on this by focusing on <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EPYAE">PALC</abbrev>, its unique molecular features, and clinical challenges.</p>
      <p>Pregnancy induces profound hormonal fluctuations, particularly in estrogen, progesterone, and human chorionic gonadotropin (<abbrev xlink:title="human chorionic gonadotropin" id="ABBRID0EVYAE">hCG</abbrev>), which play critical roles in lung cancer susceptibility. Estrogen, through estrogen receptor (<abbrev xlink:title="estrogen receptor" id="ABBRID0EZYAE">ER</abbrev>) signaling, can influence lung tissue by promoting cell proliferation, angiogenesis, and interaction with oncogenic pathways such as <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0E4YAE">EGFR</abbrev> and phosphatidylinositol 3’-kinase (PI3K)/AKT. However, prolonged exposure to endogenous estrogen, as seen in women with higher parity and later menopause, appears to have a protective effect by maintaining hormonal stability and reducing oxidative stress. Progesterone, which rises during pregnancy, has been suggested to exert anti-inflammatory and immune-modulating effects, potentially counteracting estrogen-driven proliferation. Additionally, <abbrev xlink:title="human chorionic gonadotropin" id="ABBRID0EBZAE">hCG</abbrev>, a pregnancy-specific hormone, has been linked to anti-tumor properties in other cancers and may influence lung cancer risk by modulating cell differentiation.<sup>[<xref ref-type="bibr" rid="B21 B22 B23 B24">21–24</xref>]</sup></p>
      <p>This review explores the complex link between reproductive hormones and lung cancer risk. It highlights estrogen’s role in influencing susceptibility. The protective effect of prolonged exposure to endogenous estrogen, indicated by a longer reproductive period, aligns with established theories about estrogen’s anti-inflammatory and antioxidative properties. These effects may mitigate oncogenic processes in lung tissue, providing a biologically plausible explanation for reduced cancer risk.<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup> Hormonal fluctuations during pregnancy and reproductive cycles may induce epigenetic changes, such as DNA methylation and histone modification, influencing the expression of oncogenes and tumor suppressor genes.<sup>[<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>]</sup></p>
      <p>The protective association of late menopause and the heightened risk linked to surgical menopause reflect the critical impact of hormonal fluctuations. The abrupt decline in estrogen levels observed in surgical menopause could disrupt cellular regulatory mechanisms, such as apoptosis and proliferation, emphasizing the importance of hormonal stability in pulmonary homeostasis.<sup>[<xref ref-type="bibr" rid="B25">25</xref>]</sup> The findings regarding parity further suggest a robust protective effect, potentially driven by pregnancy-induced hormonal surges and immune modulation, which may recalibrate long-term endocrine and immune functions to inhibit lung tumorigenesis.<sup>[<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>]</sup> Postpartum immune reconstitution and hormonal resetting could enhance immune surveillance and stabilize hormonal cycles, potentially reducing lung cancer susceptibility.<sup>[<xref ref-type="bibr" rid="B27">27</xref>]</sup></p>
      <p>The association between reproductive factors and adenocarcinoma prevalence strengthens the argument for hormonal involvement in lung carcinogenesis. This subtype-specific correlation is likely mediated by <abbrev xlink:title="estrogen receptor" id="ABBRID0E11AE">ER</abbrev> expression in lung tissue, implicating <abbrev xlink:title="estrogen receptor" id="ABBRID0E51AE">ER</abbrev> signaling pathways in tumor biology. <abbrev xlink:title="estrogen receptor" id="ABBRID0EC2AE">ER</abbrev> signaling activates key pathways like mitogen-activated protein kinase (<abbrev xlink:title="mitogen-activated protein kinase" id="ABBRID0EG2AE">MAPK</abbrev>) and PI3K/Akt, promoting cell survival and proliferation.<sup>[<xref ref-type="bibr" rid="B28">28</xref>]</sup> Concurrently, estrogen metabolism generates reactive oxygen species (<abbrev xlink:title="reactive oxygen species" id="ABBRID0ER2AE">ROS</abbrev>), contributing to DNA damage. While estrogen-mediated DNA repair mechanisms can mitigate these effects, they may inadvertently enhance the survival of damaged cells, promoting carcinogenesis.<sup>[<xref ref-type="bibr" rid="B29">29</xref>]</sup></p>
      <p>Estrogen exerts a dual role in lung cancer progression, mediated through distinct functions of estrogen receptor subtypes and its influence on <abbrev xlink:title="reactive oxygen species" id="ABBRID0E42AE">ROS</abbrev> metabolism. The two primary estrogen receptors, ERα (ESR1) and ERβ (ESR2), exhibit opposing effects in lung tissue. ERα activation is associated with increased cell proliferation, angiogenesis, and survival, largely through the activation of <abbrev xlink:title="mitogen-activated protein kinase" id="ABBRID0EB3AE">MAPK</abbrev> and PI3K/Akt/mTOR signaling. ERα also interacts with receptor tyrosine kinases, particularly the <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0EF3AE">EGFR</abbrev>, amplifying mitogenic signaling and contributing to therapy resistance. In contrast, ERβ has tumor-suppressive properties, promoting apoptosis and inhibiting tumor growth, a function that is frequently lost in advanced lung cancers. The differential expression of these receptors in lung adenocarcinoma suggests that estrogen-mediated carcinogenesis is highly dependent on the ERα/ERβ balance.<sup>[<xref ref-type="bibr" rid="B30">30</xref>]</sup></p>
      <p>Beyond receptor signaling, estrogen metabolism generates <abbrev xlink:title="reactive oxygen species" id="ABBRID0ER3AE">ROS</abbrev>, influencing DNA damage and repair mechanisms. Estrogen is metabolized into catechol estrogens, which undergo oxidation to form quinones, highly reactive compounds that promote DNA adduct formation. These estrogen-derived metabolites contribute to lung tumorigenesis by inducing oxidative stress and genetic instability. Additionally, estrogen upregulates CYP1A1, a cytochrome P450 enzyme involved in <abbrev xlink:title="reactive oxygen species" id="ABBRID0EV3AE">ROS</abbrev> metabolism, which further enhances oxidative DNA damage in lung epithelial cells. While estrogen has been shown to modulate DNA repair pathways such as base excision repair (<abbrev xlink:title="base excision repair" id="ABBRID0EZ3AE">BER</abbrev>) and nucleotide excision repair (<abbrev xlink:title="nucleotide excision repair" id="ABBRID0E43AE">NER</abbrev>), prolonged hormonal exposure may paradoxically promote the survival of damaged cells, facilitating tumor progression.<sup>[<xref ref-type="bibr" rid="B31">31</xref>]</sup></p>
      <p>Estrogen’s interaction with oncogenic driver mutations, particularly <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0EJ4AE">EGFR</abbrev> and <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0EN4AE">ALK</abbrev> alterations, further underscores its role in lung carcinogenesis. <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0ER4AE">EGFR</abbrev> mutations, commonly found in never-smoking women with lung adenocarcinoma, drive tumor growth through constitutive activation of the <abbrev xlink:title="mitogen-activated protein kinase" id="ABBRID0EV4AE">MAPK</abbrev> and PI3K/Akt pathways. Estrogen amplifies <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0EZ4AE">EGFR</abbrev> signaling by inducing <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0E44AE">EGFR</abbrev> phosphorylation and upregulating its expression through ERα-mediated transcriptional regulation. This estrogen-driven <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0EB5AE">EGFR</abbrev> activation has been implicated in resistance to <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0EF5AE">EGFR</abbrev> inhibitors such as osimertinib, highlighting the potential need for combination strategies targeting both pathways. Similarly, <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0EJ5AE">ALK</abbrev> rearrangements, particularly EML4-<abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0EN5AE">ALK</abbrev> fusions, activate downstream oncogenic cascades that are further enhanced by estrogen signaling. Estrogen has been shown to increase <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0ER5AE">ALK</abbrev> expression and induce crosstalk between <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0EV5AE">ALK</abbrev> and <abbrev xlink:title="estrogen receptor" id="ABBRID0EZ5AE">ER</abbrev> pathways, leading to resistance against <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0E45AE">ALK</abbrev> inhibitors such as crizotinib. This suggests that hormonal modulation may play a crucial role in the therapeutic response of lung cancer patients harboring <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0EB6AE">ALK</abbrev> rearrangements.<sup>[<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>]</sup></p>
      <p>Given these interactions, estrogen-targeted therapies have been proposed as potential adjuncts to standard lung cancer treatments. Aromatase inhibitors such as letrozole and anastrozole reduce estrogen synthesis, potentially limiting estrogen-driven oncogenic signaling. Selective estrogen receptor modulators (<abbrev xlink:title="Selective estrogen receptor modulators" id="ABBRID0ER6AE">SERMs</abbrev>) like fulvestrant and tamoxifen may be beneficial in ERα-positive lung cancers, particularly in combination with <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0EV6AE">EGFR</abbrev> or <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0EZ6AE">ALK</abbrev> inhibitors. Moreover, <abbrev xlink:title="reactive oxygen species" id="ABBRID0E46AE">ROS</abbrev> scavengers such as N-acetylcysteine and vitamin C could mitigate estrogen-induced oxidative stress, offering an additional therapeutic avenue.<sup>[<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>]</sup> The unique pathophysiological features of <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0ENAAG">PALC</abbrev>, including its association with driver mutations like <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0ERAAG">ALK</abbrev> rearrangements and <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0EVAAG">EGFR</abbrev> mutations, suggest a complex interplay between hormonal factors and genetic predispositions. The predominance of these mutations in non-smoking women further reinforces the hypothesis of hormonal modulation as a distinct etiological pathway.</p>
      <p><abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0E2AAG">PALC</abbrev>’s frequent presentation at advanced stages reflects diagnostic challenges compounded by overlapping symptoms of pregnancy and lung cancer. This highlights the necessity for heightened clinical vigilance in pregnant patients presenting with respiratory symptoms. The promising survival outcomes associated with targeted therapies, such as <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0E6AAG">ALK</abbrev> inhibitors, emphasize the need for genetic profiling in this demographic.<sup>[<xref ref-type="bibr" rid="B36">36</xref>]</sup> However, their use necessitates a balance between therapeutic efficacy and fetal safety, necessitating individualized treatment protocols.</p>
      <p>The inconsistent association between pregnancy complications, such as pre-eclampsia, and lung cancer risk underscores the complexity of these interactions. Mechanistic pathways involving systemic inflammation and vascular dysfunction are plausible contributors but remain inadequately substantiated. The elevated levels of inflammatory cytokines and dysregulated angiogenesis observed in pre-eclampsia suggest potential carcinogenic pathways.<sup>[<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B37">37</xref>]</sup></p>
      <p>The independent protective effects of reproductive factors, irrespective of smoking status, challenge the conventional dominance of smoking in lung cancer etiology. While smoking remains a critical risk factor, its interplay with hormonal influences may amplify carcinogenesis, particularly through metabolic pathways like cytochrome P450 family 1 subfamily A member 1 (CYP1A1) induction. This enzyme’s role in estrogen metabolism introduces a dual-hit mechanism, combining oxidative stress with hormonal modulation, necessitating further exploration of these interactions.<sup>[<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>]</sup></p>
      <p>The association between reproductive factors and lung cancer risk involves various hormonal and molecular mechanisms. Estrogen, a key female sex hormone, has been implicated in lung carcinogenesis through <abbrev xlink:title="estrogen receptor" id="ABBRID0EECAG">ER</abbrev> activation, particularly ERα and ERβ, which promote cell proliferation and inhibit apoptosis in lung tissue.<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup> Estrogen also interacts with growth factor signaling pathways, such as the <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0EPCAG">EGFR</abbrev> pathway, enhancing mitogenic activity and contributing to malignant transformation.<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup> Additionally, estrogen metabolites can induce DNA damage, leading to mutations if not properly repaired, while also influencing gene expression related to DNA repair mechanisms, thereby affecting genomic stability.<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup> A large-scale epidemiological study suggested that earlier menarche and later menopause, which extend estrogen exposure, are associated with an increased risk of lung cancer, while a shorter reproductive span may be protective.<sup>[<xref ref-type="bibr" rid="B40">40</xref>]</sup> Higher parity and later age at first birth have been linked to reduced lung cancer risk, potentially due to the hormonal changes during pregnancy that exert protective effects on lung tissue.<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup> The role of <abbrev xlink:title="hormone replacement therapy" id="ABBRID0EPDAG">HRT</abbrev> remains controversial, with some studies indicating an increased risk of lung cancer, while others report no significant association, suggesting that the effects may depend on the type and duration of hormone exposure.<sup>[<xref ref-type="bibr" rid="B5">5</xref>]</sup></p>
      <p>This review offers a comprehensive synthesis of evidence regarding the intersection of pregnancy, reproductive hormones, and lung cancer risk, filling a critical gap in understanding the role of hormonal factors in lung carcinogenesis. A systematic approach was employed following <abbrev xlink:title="Preferred Reporting Items for Systematic Reviews and Meta-Analyses" id="ABBRID0E2DAG">PRISMA</abbrev> guidelines, ensuring methodological rigor in study selection and data extraction. The inclusion of studies spanning diverse populations and geographic regions enhances the generalizability of findings. Furthermore, the review uniquely integrates evidence on <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0E6DAG">PALC</abbrev> and its molecular characteristics, such as <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0EDEAG">ALK</abbrev> and <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0EHEAG">EGFR</abbrev> mutations, providing valuable insights into targeted treatment strategies. The integration of hormonal mechanisms and their plausible biological pathways strengthens the theoretical foundation of the findings.</p>
      <p>This systematic review has significant clinical and translational implications by highlighting the role of reproductive hormones and pregnancy-associated factors in lung cancer risk, particularly among female never-smokers. The findings support integrating reproductive history into lung cancer risk models to improve early detection and risk stratification. Additionally, the identification of hormone-driven molecular pathways and actionable mutations (<abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0ENEAG">ALK</abbrev>, <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0EREAG">EGFR</abbrev>) in <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EVEAG">PALC</abbrev> underscores the need for personalized treatment approaches, optimizing targeted therapies while ensuring fetal safety. Beyond clinical applications, this review lays the foundation for future research on hormonal biomarkers and the development of hormone-based prevention strategies, ultimately advancing precision medicine in lung cancer management. Despite its strengths, this review has several limitations. The reliance on observational studies, which are prone to residual confounding and bias, constrains causal inferences. Smoking, a critical confounder in lung cancer research, was variably controlled across the included studies, potentially influencing the observed associations. The heterogeneity in study designs, exposure definitions, and outcome measures limits the comparability and pooling of results. Many studies had small sample sizes or focused on specific subpopulations, reducing statistical power and external validity. Additionally, the data on <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EZEAG">PALC</abbrev> remains sparse, necessitating cautious interpretation of findings in this subgroup. Finally, publication bias, inherent to systematic reviews, may have skewed the results towards studies reporting significant associations, while grey literature was not fully exhaustively explored.</p>
      <p>The integration of reproductive and hormonal history into risk stratification models offers an opportunity to refine early detection strategies for lung cancer. For <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0E6EAG">PALC</abbrev>, the application of molecular-targeted therapies holds significant promise but requires tailored approaches that consider the unique needs of pregnant patients. Investigating the interaction between reproductive factors and genetic mutations may unveil novel therapeutic targets, while prospective cohort studies are essential to address confounding variables and strengthen causal inferences.</p>
      <p>Integrating reproductive history into lung cancer screening guidelines requires a multi-faceted approach that enhances risk prediction models, refines screening eligibility criteria, and incorporates hormonal and genetic factors into clinical assessments. Existing lung cancer risk models, such as PLCOm2012 and USPSTF guidelines, could be modified to include reproductive factors such as parity, age at menarche and menopause, reproductive period duration, and pregnancy complications. A reproductive lung cancer risk index (<abbrev xlink:title="reproductive lung cancer risk index" id="ABBRID0EFFAG">RLC-RI</abbrev>) could be developed to quantify risk, assigning weighted values based on epidemiological evidence showing that later menopause and higher parity reduce risk, whereas surgical menopause and early menopause increase susceptibility. This index could be integrated into electronic medical records to generate automated screening recommendations. Stratification of high-risk subgroups, particularly never-smoking women, would allow targeted screening for those with early menopause, low parity, a history of surgical menopause, or pregnancy complications such as pre-eclampsia. In addition to clinical risk factors, biomarker analysis, including estrogen receptor expression and hormonal metabolites, could refine risk assessment, particularly in women with genetic predispositions such as <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0EJFAG">EGFR</abbrev> and <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0ENFAG">ALK</abbrev> mutations. Personalized screening recommendations should prioritize annual low-dose CT scans for high-risk women, even those without a smoking history, while those with moderate reproductive risk factors may benefit from enhanced risk counseling. A crucial aspect of this strategy is providing education, ensuring that reproductive history is systematically evaluated in lung cancer risk assessments. Collaboration between oncologists and gynecologists could further enhance early detection, particularly in women undergoing hormonal transitions such as menopause or pregnancy. Future research should focus on large-scale cohort studies and machine learning-based predictive models to validate these associations and refine individualized screening strategies, ultimately improving early lung cancer detection and prevention in women.</p>
      <p>Establishing an international registry for <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0ETFAG">PALC</abbrev> would be a crucial step in addressing the significant data gaps surrounding its epidemiology, molecular characteristics, and clinical management. Given the rarity of <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EXFAG">PALC</abbrev>, current evidence is limited to small-scale studies and case reports, making it difficult to draw definitive conclusions about risk factors, optimal diagnostic approaches, and treatment outcomes. A global registry would facilitate the collection of standardized, high-quality data from multiple institutions and geographic regions, enabling a more comprehensive understanding of this condition. The registry should include demographic, reproductive, and hormonal history, clinical presentation, tumor histology, molecular profiling (including actionable mutations such as <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0E2FAG">ALK</abbrev> and <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0E6FAG">EGFR</abbrev>), treatment regimens, pregnancy outcomes, and long-term maternal and fetal health data. By pooling data from diverse populations, the registry could help identify high-risk subgroups, evaluate the impact of pregnancy-related hormonal fluctuations on lung cancer progression, and refine clinical management strategies. Additionally, it would serve as a valuable resource for prospective research, allowing investigators to explore genetic predispositions, hormonal biomarkers, and novel therapeutic approaches. Collaboration among oncology, obstetrics, and epidemiology experts would be essential to ensure comprehensive data collection and to develop evidence-based guidelines for diagnosing and managing <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EDGAG">PALC</abbrev>. Furthermore, integrating the registry with existing cancer databases and leveraging artificial intelligence for predictive modeling could enhance risk stratification and treatment personalization. Ultimately, an international <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EHGAG">PALC</abbrev> registry would not only advance scientific knowledge but also improve clinical outcomes by enabling earlier detection, optimizing treatment decisions, and ensuring better maternal-fetal care in affected patients.</p>
      <p><bold>Fig. <xref ref-type="fig" rid="F2">2</xref></bold> illustrates the interplay of reproductive factors, hormonal modulation, and molecular pathways in <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0ETGAG">PALC</abbrev>.</p>
      <fig id="F2" position="float" orientation="portrait">
        <object-id content-type="arpha">D708090E-E3E6-518A-86F0-367E21A6255A</object-id>
        <label>Figure 2.</label>
        <caption>
          <p>Interplay of reproductive factors, hormonal modulation, and molecular pathways in pregnancy-associated lung cancer. <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0E6GAG">EGFR</abbrev>: epidermal growth factor receptor; <abbrev xlink:title="estrogen receptor" id="ABBRID0EDHAG">ER</abbrev>: estrogen receptor; miRNAs: microRNAs; mTOR: mammalian target of rapamycin; <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EHHAG">PALC</abbrev>: pregnancy-associated lung cancer; PI3K: phosphoinositide 3-kinase; PR: progesterone receptor; ROS1: c-ros oncogene 1.</p>
        </caption>
        <graphic xlink:href="foliamedica-67-5-e156329-g002.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_1446595.jpg">
          <uri content-type="original_file">https://binary.pensoft.net/fig/1446595</uri>
        </graphic>
      </fig>
    </sec>
    <sec sec-type="﻿Conclusions" id="SECID0EQHAG">
      <title>﻿Conclusions</title>
      <p>This systematic review underscores the complex interplay between pregnancy, reproductive hormones, and lung cancer risk in women. The findings highlight the protective role of reproductive factors such as parity, later menopause, and prolonged reproductive periods, likely mediated by hormonal stabilization and immune modulation. Additionally, the distinct clinical and molecular characteristics of <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EWHAG">PALC</abbrev>, including high rates of actionable mutations such as <abbrev xlink:title="anaplastic lymphoma kinase" id="ABBRID0E1HAG">ALK</abbrev> and <abbrev xlink:title="epidermal growth factor receptor" id="ABBRID0E5HAG">EGFR</abbrev>, suggest unique etiological pathways and emphasize the potential for targeted therapeutic strategies. However, challenges such as diagnostic delays during pregnancy and balancing treatment efficacy with fetal safety remain significant hurdles.</p>
      <p>This study provides key insights but has limitations. It relies on observational data, which limits causal inference. Additionally, factors such as smoking and environmental exposures may affect the observed associations. Second, the heterogeneity of study designs and sample sizes reduces the comparability of findings. Many included studies had small sample sizes, limiting statistical power and generalizability. Third, while <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EEIAG">PALC</abbrev> presents distinct molecular and clinical features, data on <abbrev xlink:title="pregnancy-associated lung cancer" id="ABBRID0EIIAG">PALC</abbrev> remain sparse, necessitating cautious interpretation of its associations with reproductive factors. Lastly, publication bias may have influenced the synthesis of available data, as studies reporting significant associations are more likely to be published.</p>
      <p>Future research should prioritize large-scale prospective cohort studies and mechanistic investigations to better elucidate the hormonal and genetic interactions in lung carcinogenesis. Clinically, integrating reproductive history into lung cancer risk models could improve early detection and risk stratification, particularly in high-risk subgroups. Addressing these limitations will enhance the accuracy and applicability of findings, ultimately improving prevention and management strategies for lung cancer in women.</p>
    </sec>
    <sec sec-type="﻿Author contributions" id="SECID0ENIAG">
      <title>﻿Author contributions</title>
      <p><italic>Eleni-Maria Sotiropoulou</italic>: conceptualization, methodology, writing–original draft, data collection, writing–review and editing; <italic>Antigoni Sarantaki</italic>: data interpretation, data collection, literature review; <italic>Giannoula Kyrkou</italic>: data interpretation, data collection, literature review; <italic>Vasiliki Epameinondas Georgakopoulou</italic>: data collection, writing–review and editing, project administration, supervision; <italic>Athina Diamanti</italic>: data collection, writing–review and editing, project administration, supervision. The Corresponding author confirms that all authors meet the criteria for authorship as outlined by the International Committee of Medical Journal Editors (ICMJE) criteria, have read the manuscript and agreed for publication.</p>
    </sec>
    <sec sec-type="﻿Ethics approval and consent to participate" id="SECID0E4IAG">
      <title>﻿Ethics approval and consent to participate</title>
      <p>Not applicable</p>
    </sec>
    <sec sec-type="﻿Consent for publication" id="SECID0ECJAG">
      <title>﻿Consent for publication</title>
      <p>Not applicable.</p>
    </sec>
    <sec sec-type="﻿Availability of data and material" id="SECID0EHJAG">
      <title>﻿Availability of data and material</title>
      <p>The datasets generated during and/or analyzed during the current study are not publicly available but are available from the corresponding author on reasonable request.</p>
    </sec>
    <sec sec-type="﻿Conflicts of interest" id="SECID0EMJAG">
      <title>﻿Conflicts of interest</title>
      <p>None</p>
    </sec>
    <sec sec-type="﻿Funding" id="SECID0ERJAG">
      <title>﻿Funding</title>
      <p>This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.</p>
    </sec>
    <sec sec-type="﻿Appendix" id="SECID0EWJAG">
      <title>﻿Appendix</title>
      <sec sec-type="﻿Supplementary data" id="SECID0E1JAG">
        <title>﻿Supplementary data</title>
        <sec sec-type="﻿Quality assessment of included studies" id="SECID0E5JAG">
          <title>﻿<italic>Quality assessment of included studies</italic></title>
          <p>
            <bold>
              <italic>Study 1: Paltiel et al.</italic>
            </bold>
          </p>
          <p>1. Selection</p>
          <list list-type="bullet">
            <list-item>
              <p>Representativeness of the exposed cohort: The cohort included women from the Jerusalem Perinatal Study, encompassing all deliveries in three large hospitals during 1964-1976. This is likely representative of the population in that region and period. Rating: ★
</p>
            </list-item>
            <list-item>
              <p>Selection of the non-exposed cohort: Women without pre-eclampsia from the same population were included, making the selection appropriate.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Ascertainment of exposure: Pre-eclampsia was systematically recorded at delivery, providing objective and reliable data.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Demonstration that outcome of interest was not present at start of study: Only women without prior cancer diagnosis were included.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>2. Comparability</p>
          <list list-type="bullet">
            <list-item>
              <p>Comparability of cohorts on the basis of the design or analysis: Adjustments were made for age, parity, ethnicity, and other relevant variables in multivariable models. However, smoking, a potential confounder, was not consistently available for adjustment.
</p>
            </list-item>
          </list>
          <p>Rating: ★★</p>
          <p>3. Outcome</p>
          <list list-type="bullet">
            <list-item>
              <p>Assessment of outcome: Cancer outcomes were ascertained via the Israel Cancer Registry, which is reliable and comprehensive.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Was follow-up long enough for outcomes to occur: Median follow-up was 29 years, sufficient for cancer development.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Adequacy of follow-up of cohorts: 91.8% of the original cohort was successfully traced and linked to outcomes, indicating adequate follow-up.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>Total Score: 9/9 stars</p>
          <p>The study by Paltiel et al. (2004) demonstrates a low risk of bias according to the Newcastle-Ottawa Scale for cohort studies.</p>
          <p>
            <bold>
              <italic>Study 2: Weiss et al.</italic>
            </bold>
          </p>
          <p>1. Selection</p>
          <list list-type="bullet">
            <list-item>
              <p>Representativeness of the exposed cohort: The cohort consisted of 71,314 female lifetime nonsmokers from the Shanghai Women’s Health Study, a large population-based cohort representative of urban Shanghai.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Selection of the non-exposed cohort: The study focused exclusively on nonsmokers, avoiding issues of comparability with exposed groups. Non-exposure here is consistent.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Ascertainment of exposure: Data on reproductive factors and passive smoke exposure were collected via validated questionnaires and interviews, ensuring reliability.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Demonstration that outcome of interest was not present at start of study: Women with a history of cancer at baseline were excluded, ensuring participants were free from the outcome at study start.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>2. Comparability</p>
          <list list-type="bullet">
            <list-item>
              <p>Comparability of cohorts on the basis of design or analysis: The study adjusted for key confounders, including age, passive smoke exposure, and reproductive factors. However, adjustments for additional potential confounders (e.g., dietary patterns and genetic factors) might not be comprehensive.
</p>
            </list-item>
          </list>
          <p>Rating: ★★</p>
          <p>3. Outcome</p>
          <list list-type="bullet">
            <list-item>
              <p>Assessment of outcome: Lung cancer diagnoses were verified through medical records and cancer registry data, ensuring reliable outcome assessment.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Was follow-up long enough for outcomes to occur: The median follow-up was approximately 4.1 years, which is modest but sufficient for identifying cases of lung cancer in this cohort.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Adequacy of follow-up of cohorts: The study achieved a follow-up rate of 97%, indicating high retention and reliable outcome data.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>Total Score: 9/9 stars</p>
          <p>The study by Weiss et al. (2008) demonstrates a low risk of bias according to the Newcastle-Ottawa Scale for cohort studies. It was well-designed and rigorously executed.</p>
          <p>
            <bold>
              <italic>Study 3: Koushik et al.</italic>
            </bold>
          </p>
          <p>1. Selection</p>
          <list list-type="bullet">
            <list-item>
              <p>Case definition adequate: Lung cancer diagnoses were histologically confirmed, ensuring accurate identification of cases.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Representativeness of cases: Cases were identified through hospital tumor registries and pathology records across 18 hospitals in the Montreal area, covering 98% of cases. This is representative of the target population.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Selection of controls: Controls were randomly selected from provincial electoral lists, which provide a comprehensive and nearly complete listing of residents.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Definition of controls: Controls had no history of lung cancer, and eligibility was based on the same inclusion criteria as cases, ensuring comparability.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>2. Comparability</p>
          <list list-type="bullet">
            <list-item>
              <p>Comparability of cases and controls based on design or analysis: The study controlled for important confounders such as age, socioeconomic status, and comprehensive smoking history (using a composite smoking index).
</p>
            </list-item>
          </list>
          <p>Rating: ★★</p>
          <p>3. Exposure</p>
          <list list-type="bullet">
            <list-item>
              <p>Ascertainment of exposure: Detailed exposure data, including reproductive and hormone-related factors, were collected via interviewer-administered questionnaires. Proxy respondents were used for some cases, introducing a potential limitation but with sensitivity analyses performed.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Same method of ascertainment for cases and controls: Both cases and controls completed the same questionnaire, ensuring consistent data collection.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Non-response rate: Participation rates were high (81.7% for cases and 69.4% for controls), minimizing bias from non-response.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>Total Score: 9/9 stars</p>
          <p>The study by Koushik et al. (2009) demonstrates a low risk of bias according to the Newcastle-Ottawa Scale for case-control studies. Its robust methodology ensures reliable findings.</p>
          <p>
            <bold>
              <italic>Study 4: Meinhold et al.</italic>
            </bold>
          </p>
          <p>1. Selection</p>
          <list list-type="bullet">
            <list-item>
              <p>Case definition adequate: Cases of non-small cell lung cancer were confirmed through histological diagnoses, ensuring an accurate case definition.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Representativeness of cases: Cases were drawn from hospitals across Baltimore, representing the target population, with over 80% enrolled within 180 days of diagnosis.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Selection of controls: Controls included hospital-based (frequency matched by smoking status and hospital) and population-based (selected from Motor Vehicle Administration lists).
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Definition of controls: Controls were free from cancer (other than non-melanoma skin cancer or in situ cervical cancer) and selected without bias related to the exposure of interest.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>2. Comparability</p>
          <list list-type="bullet">
            <list-item>
              <p>Comparability of cases and controls based on design or analysis: Adjustments were made for smoking status (active and passive), age, education, income, and other confounders in logistic regression models.
</p>
            </list-item>
          </list>
          <p>Rating: ★★</p>
          <p>3. Exposure</p>
          <list list-type="bullet">
            <list-item>
              <p>Ascertainment of exposure: Detailed exposure data were collected through standardized interviews using validated questionnaires.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Same method of ascertainment for cases and controls: Both cases and controls underwent identical interviews to collect exposure and confounder data.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Non-response rate: Participation rates were not clearly stated, but the study mentions recruitment and follow-up efforts, with minimal missing data for key variables. This is adequate.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>Total Score: 9/9 stars</p>
          <p>The study by Meinhold et al. (2011) demonstrates a low risk of bias using the Newcastle-Ottawa Scale for case-control studies. Its robust methodology and comprehensive adjustment for confounders ensure reliable findings.</p>
          <p>
            <bold>
              <italic>Study 5: Pesatori et al.</italic>
            </bold>
          </p>
          <p>1. Selection</p>
          <list list-type="bullet">
            <list-item>
              <p>Case definition adequate: Lung cancer diagnoses were confirmed through histological or cytological verification, ensuring accurate identification of cases.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Representativeness of cases: Cases were drawn from 13 hospitals across a large region (Lombardy, Italy), representing a broad and representative population.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Selection of controls: Controls were population-based, randomly sampled from municipal registries, and frequency-matched to cases by age and residence.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Definition of controls: Controls were confirmed to be cancer-free at the time of selection, excluding non-melanoma skin cancer or in situ cervical cancer.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>2. Comparability</p>
          <list list-type="bullet">
            <list-item>
              <p>Comparability of cases and controls based on design or analysis: The study controlled for major confounders, including smoking status, pack-years, environmental tobacco smoke (<abbrev xlink:title="environmental tobacco smoke" id="ABBRID0EOQAG">ETS</abbrev>), education, and body mass index (<abbrev xlink:title="body mass index" id="ABBRID0ESQAG">BMI</abbrev>).
</p>
            </list-item>
          </list>
          <p>Rating: ★★</p>
          <p>3. Exposure</p>
          <list list-type="bullet">
            <list-item>
              <p>Ascertainment of exposure: Exposure data (reproductive and hormonal factors) were collected through in-person computer-assisted personal interviews, ensuring consistent and reliable data.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Same method of ascertainment for cases and controls: The same structured interview process was applied to both cases and controls.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Non-response rate: Participation rates were high (86.6% for cases and 72.4% for controls), reducing the likelihood of bias from non-participation.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>Total Score: 9/9 stars</p>
          <p>The study by Pesatori et al. (2013) demonstrates a low risk of bias using the Newcastle-Ottawa Scale for case-control studies. Its robust methodology and thorough adjustment for confounders ensure reliability in its findings.</p>
          <p>
            <bold>
              <italic>Study 6: Dagogo-Jack et al.</italic>
            </bold>
          </p>
          <p>1. Selection</p>
          <list list-type="bullet">
            <list-item>
              <p>Representativeness of the exposed cohort: The study identified women with NSCLC during pregnancy or peripartum from a retrospective review of records at a single institution. The sample represents a specific subset of a larger population (women with NSCLC). However, as the cohort is hospital-based and retrospective, there may be selection bias.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Selection of the non-exposed cohort: There is no explicit non-exposed cohort (e.g., patients without NSCLC during pregnancy/peripartum). The study focuses on descriptive data for the exposed cohort.
</p>
            </list-item>
          </list>
          <p>Rating: Not applicable.</p>
          <list list-type="bullet">
            <list-item>
              <p>Ascertainment of exposure: Diagnoses were confirmed through medical records and molecular testing for oncogenic drivers, providing high reliability.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Demonstration that outcome of interest was not present at start of study: The study includes patients diagnosed with NSCLC during pregnancy/peripartum; no prior outcome (e.g., cancer) was reported at study inclusion.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>2. Comparability</p>
          <list list-type="bullet">
            <list-item>
              <p>Comparability of cohorts on the basis of design or analysis: The study controlled for key factors (e.g., molecular genotype, treatment, and clinical features) but lacked adjustment for other confounders such as socioeconomic factors or comorbidities.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>3. Outcome</p>
          <list list-type="bullet">
            <list-item>
              <p>Assessment of outcome: Outcomes, including progression-free survival (<abbrev xlink:title="progression-free survival" id="ABBRID0EISAG">PFS</abbrev>) and overall survival, were assessed through clinical follow-ups and patient records, ensuring reliable measurement.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Was follow-up long enough for outcomes to occur: Follow-up ranged from 11 months to over five years, which is adequate for assessing survival outcomes in NSCLC. Rating: ★
</p>
            </list-item>
            <list-item>
              <p>Adequacy of follow-up of cohorts: The study provided complete follow-up for all included cases, minimizing bias from missing data. Rating: ★
</p>
            </list-item>
          </list>
          <p>Total Score: 7/9 stars</p>
          <p>This study demonstrates a moderate-to-low risk of bias. The lack of a comparative non-exposed cohort and limited adjustment for confounders are the primary limitations</p>
          <p>
            <bold>
              <italic>Study 7: Yang et al.</italic>
            </bold>
          </p>
          <p>1. Selection</p>
          <list list-type="bullet">
            <list-item>
              <p>Representativeness of the exposed cohort: The study included 553,434 females from eight provinces in China, based on the Chinese Lung Cancer Screening Program, with rigorous inclusion and exclusion criteria. This represents a broad population-based cohort.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Selection of the non-exposed cohort: The cohort included both exposed and non-exposed individuals to reproductive factors, making the selection comparable.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Ascertainment of exposure: Data were collected via self-report questionnaires, which may introduce recall bias but were conducted systematically with trained personnel.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Demonstration that outcome of interest was not present at start of study: Exclusions ensured no prior cancer diagnosis at baseline.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>2. Comparability</p>
          <list list-type="bullet">
            <list-item>
              <p>Comparability of cohorts on the basis of design or analysis: The study adjusted for important confounders, including age, smoking status, environmental tobacco smoke, BMI, and family history of lung cancer. Statistical models addressed clustering effects by province.
</p>
            </list-item>
          </list>
          <p>Rating: ★★</p>
          <p>3. Outcome</p>
          <list list-type="bullet">
            <list-item>
              <p>Assessment of outcome: Lung cancer cases were identified through a robust linkage to the cancer registry, medical insurance system, and hospital records, with further cross-referencing.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Was follow-up long enough for outcomes to occur: The median follow-up was 3.61 years. While this is relatively short for cancer outcomes, the large sample size compensates for limited follow-up.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Adequacy of follow-up of cohorts: 94% of lung cancer cases were cross-referenced with multiple databases, ensuring data completeness.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>Total Score: 9/9 stars</p>
          <p>The study by Yang et al. (2021) demonstrates a low risk of bias according to the Newcastle-Ottawa Scale for cohort studies. Despite a slightly short follow-up duration, the comprehensive methodology ensures reliable findings.</p>
          <p>
            <bold>
              <italic>Study 8: Yang et al. 2021</italic>
            </bold>
          </p>
          <p>1. Selection</p>
          <list list-type="bullet">
            <list-item>
              <p>Representativeness of the exposed cohort: The cohort includes women with pregnancy-associated non-small-cell lung cancer (<abbrev xlink:title="non-small-cell lung cancer" id="ABBRID0ELUAG">NSCLC</abbrev>), identified through the Guangdong Lung Cancer Institute and systematic literature review. While it captures a rare population, reliance on case reports introduces potential selection bias.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Selection of the non-exposed cohort: There is no explicit non-exposed cohort since the study focuses on the characteristics and outcomes of affected individuals. Rating: Not applicable.
</p>
            </list-item>
            <list-item>
              <p>Ascertainment of exposure: Diagnoses of NSCLC were based on pathology, gene mutation analysis, and clinical records, providing reliable exposure ascertainment.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Demonstration that outcome of interest was not present at start of study: The included cases were identified at the time of NSCLC diagnosis, ensuring outcomes such as survival and complications were not pre-existing.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>2. Comparability</p>
          <list list-type="bullet">
            <list-item>
              <p>Comparability of cohorts on the basis of design or analysis: The study analyzed differences in outcomes based on genetic mutations (e.g., ALK, EGFR) and treatment timing, adjusting for confounding factors like stage at diagnosis and performance status. However, full adjustment for other potential confounders (e.g., socioeconomic status) is unclear.
</p>
            </list-item>
          </list>
          <p>Rating: ★★</p>
          <p>3. Outcome</p>
          <list list-type="bullet">
            <list-item>
              <p>Assessment of outcome: Outcomes such as overall survival and fetal complications were assessed through medical records, follow-up calls, and systematic analysis of case reports.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Was follow-up long enough for outcomes to occur: The study’s follow-up ranged from a few months to several years, sufficient to observe long-term survival and treatment outcomes.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <list list-type="bullet">
            <list-item>
              <p>Adequacy of follow-up of cohorts: A large proportion of data was obtained from retrospective reports and not directly from a continuous cohort, leading to missing information for some cases. However, follow-up for cases from the Guangdong Lung Cancer Institute appears comprehensive.
</p>
            </list-item>
          </list>
          <p>Rating: ★</p>
          <p>Total Score: 8/9 stars</p>
          <p>The study demonstrates a low-to-moderate risk of bias. The primary limitation is the lack of a non-exposed cohort and the reliance on retrospective case reports, which can introduce heterogeneity and missing data.</p>
        </sec>
      </sec>
    </sec>
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  <back>
    <ack>
      <title>﻿Acknowledgements</title>
      <p>During the preparation of this work, AI tool ChatGPT was used to improve the readability and language of the manuscript, and subsequently, the authors revised and edited the content produced by the AI tool as necessary, taking full responsibility for the ultimate content of the present manuscript.</p>
    </ack>
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