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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2024.1464635</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Prognostic value of neutrophil-to-lymphocyte ratio in patients with non&#x2013;muscle-invasive bladder cancer with intravesical Bacillus Calmette&#x2013;Gu&#xe9;rin immunotherapy: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Huang</surname>
<given-names>Jiaguo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Lin</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mao</surname>
<given-names>Dikai</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hua</surname>
<given-names>Runmiao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Guan</surname>
<given-names>Feifei</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2792154"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/project-administration/"/>
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</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Urology, Affiliated Xiaoshan Hospital, Hangzhou Normal University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Science and Education, Affiliated Xiaoshan Hospital, Hangzhou Normal University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Physical Examination Center, Affiliated Xiaoshan Hospital, Hangzhou Normal University</institution>, <addr-line>Hangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Zhiming Li, Sun Yat-sen University Cancer Center (SYSUCC), China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Francesco Claps, The Netherlands Cancer Institute (NKI), Netherlands</p>
<p>Teddy Lazebnik, University College London, United Kingdom</p>
<p>Mar&#xed;a Marcela Barrio, Fundaci&#xf3;n C&#xe1;ncer, Argentina</p>
<p>Jiajia Huang, Sun Yat-sen University Cancer Center (SYSUCC), China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Feifei Guan, <email xlink:href="mailto:zjxshgff@163.com">zjxshgff@163.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>10</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1464635</elocation-id>
<history>
<date date-type="received">
<day>16</day>
<month>07</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>03</day>
<month>10</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Huang, Lin, Mao, Hua and Guan</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Huang, Lin, Mao, Hua and Guan</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>The predictive accuracy of the preoperative neutrophil-to-lymphocyte ratio (NLR) on the prognosis of patients with non-muscle-invasive bladder cancer (NMIBC) with intravesical Bacillus Calmette&#x2013;Gu&#xe9;rin immunotherapy (BCG) after transurethral resection of the bladder tumor (TURBT) remains unknown. Therefore, the current study performed a systematic review and meta-analysis to examine the relationship between preoperative NLR and the prognosis of patients with NMIBC with intravesical BCG immunotherapy.</p>
</sec>
<sec>
<title>Methods</title>
<p>For this systematic review and meta-analysis, articles were retrieved from PubMed, Cochrane Library, Web of Science, and Embase databases from their inception to 14 May 2024. The role of NLR in predicting recurrence and progression in NMIBC was determined using pooled hazard ratios (HRs) and 95% confidence intervals (CIs).</p>
</sec>
<sec>
<title>Results</title>
<p>Seven articles were included in this meta-analysis, involving 4,187 patients. An elevated NLR was significantly associated with recurrence (HR = 2.67, 95% CI = 1.34&#x2013;5.32, <italic>P</italic> &lt; 0.001) and progression (HR = 1.72, 95% CI = 1.13&#x2013;2.60, <italic>P</italic> = 0.004) in patients with NMIBC with intravesical BCG immunotherapy.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This meta-analysis demonstrated that elevated preoperative NLR levels were significantly associated with recurrence and disease progression in patients with NMIBC who underwent intravesical BCG immunotherapy after TURBT.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p>
<uri xlink:href="https://inplasy.com/inplasy-2024-7-0058/">https://inplasy.com/inplasy-2024-7-0058/</uri>, identifier 202470058.</p>
</sec>
</abstract>
<kwd-group>
<kwd>non-muscle-invasive bladder cancer</kwd>
<kwd>bacillus Calmette-Gu&#xe9;rin</kwd>
<kwd>neutrophil-tolymphocyte ratio</kwd>
<kwd>recurrence</kwd>
<kwd>progression</kwd>
<kwd>systematic review</kwd>
<kwd>meta-analysis</kwd>
</kwd-group>
<counts>
<fig-count count="5"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="63"/>
<page-count count="11"/>
<word-count count="3958"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Bladder cancer (BCa) is one of the most commonly diagnosed malignancies worldwide and the most common malignancy of the urologic system, with approximately 573,000 new cases and 213,000 deaths according to the Global Cancer Statistics 2020 (<xref ref-type="bibr" rid="B1">1</xref>). On the basis of the depth of tumor invasion, BCa can be classified as non&#x2013;muscle-invasive bladder cancer (NMIBC) and muscle-invasive bladder cancer (MIBC). In approximately 70% of the patients diagnosed with BCa, the disease is limited to the mucosa [stage Ta, carcinoma <italic>in situ</italic> (CIS)] or submucosa (stage T1) (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). The gold standard for the treatment of NMIBC is transurethral resection of the bladder tumor (TURBT) followed by intravesical instillation therapy and then undergoing a second surgery if necessary (<xref ref-type="bibr" rid="B3">3</xref>). Bacillus Calmette&#x2013;Gu&#xe9;rin (BCG) has been shown to be the most effective intravesical immunotherapy for preventing the recurrence of NMIBC by inducing an immune response in the bladder to attack cancer cells (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B7">7</xref>). However, decades have passed since BCG was suggested as a treatment for NMIBC, but immunotherapy for NMIBC has not progressed much (<xref ref-type="bibr" rid="B8">8</xref>). The intravesical BCG immunotherapy is based on an attenuated non-pathogenic strain of Mycobacterium bovis that was originally used as a vaccine against tuberculosis (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). NMIBC typically shows a favorable prognosis with a 5-year overall survival (OS) rate of approximately 90%; still 30%&#x2013;80% of cases exhibit recurrences and 45% of cases progress to muscle invasion were observed within 5 years (<xref ref-type="bibr" rid="B12">12</xref>). The clinical results of intravesical BCG immunotherapy are promising, but a subset of patients has shown unwanted results, such as the lack of clinical response, tumor recurrence, and tumor progression (<xref ref-type="bibr" rid="B13">13</xref>). Therefore, predicting BCG failure, tumor recurrence, and progression may facilitate timely radical cystectomy or combination therapy and improve the survival rate of patients. Currently, the European Organization for Research and Treatment of Cancer (EORTC) model is widely utilized to assess the risk of recurrence and progression of NMIBC treated with intravesical BCG immunotherapy. The scoring system has proven useful in clinical practice, but the accuracy of the EORTC model requires further improvement (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). At present, other personalized models and optimization schemes have been proposed, but their performance has not been clinically verified (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). One approach to address this challenge is to optimize the general treatment, particularly the initial patient condition (<xref ref-type="bibr" rid="B18">18</xref>). Consequently, easily accessible and objective predictors are needed to improve the risk classification and prediction of recurrence and progression of NMIBC.</p>
<p>Several studies have suggested that some inflammatory markers may be associated with the prognosis of intravesical BCG immunotherapy for NMIBC. The neutrophil-to-lymphocyte ratio (NLR) is a biomarker for assessing inflammatory status and is easily obtainable in clinical practice (<xref ref-type="bibr" rid="B19">19</xref>). Many systematic reviews and meta-analyses have effectively integrated the findings of multiple studies, yielding valuable insights into the complex relationships between NLR and solid tumors [e.g., breast cancer (<xref ref-type="bibr" rid="B20">20</xref>), cervical cancer (<xref ref-type="bibr" rid="B21">21</xref>), esophageal cancer (<xref ref-type="bibr" rid="B22">22</xref>), colorectal cancer (<xref ref-type="bibr" rid="B23">23</xref>), prostate cancer (<xref ref-type="bibr" rid="B24">24</xref>), and pancreatic cancer (<xref ref-type="bibr" rid="B25">25</xref>)]. The evidence consistently suggests that elevated NLR levels are significantly associated with poor prognosis in patients who develop these specific cancer types. Furthermore, NLR levels have been found to be independent predictors of the prognosis of BCa. In a meta-analysis of 17 studies reported by Xingxing Tang et&#xa0;al., elevated NLR was found to predict poor clinical outcomes in patients with BCa, including OS, recurrence-free survival (RFS), progression-free survival (PFS), and cancer-specific survival (CSS) (<xref ref-type="bibr" rid="B26">26</xref>). Another meta-analysis of six studies confirmed that an elevated preoperative NLR predicted worse RFS and PFS in patients with NMIBC treated with TURBT (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>Despite previous studies having reported the relationship between NLR and survival outcomes in patients with NMIBC, no comprehensive meta-analysis has been conducted on patients with NMIBC with intravesical BCG immunotherapy. Patients receiving intravesical BCG immunotherapy after TURBT represent independent treatment types, and several studies have reported that preoperative NLR levels can predict the efficacy of intravesical BCG immunotherapy and disease relapse or progression in patients with NMIBC. Based on these previous findings, this meta-analysis aimed to systematically evaluate the relationship between preoperative NLR and the prognostic value of postoperative intravesical BCG immunotherapy in patients with NMIBC.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Study registration</title>
<p>The present systematic review and meta-analysis was conducted on the basis of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline (<xref ref-type="bibr" rid="B28">28</xref>). The protocol of this review has been registered online on INPLASY (202470058).</p>
</sec>
<sec id="s2_2">
<title>Search strategy</title>
<p>Relevant studies were systematically searched on PubMed, Cochrane Library, Web of Science, and Embase databases from inception to 14 May 2024, with no language limitations. The search terms combined the suggested words by Medical Subject Heading (MeSH) with other related words. The search query in PubMed was as follows: ((((Neutrophil-to-Lymphocyte Ratio[Title/Abstract]) OR (Neutrophil to Lymphocyte Ratio[Title/Abstract])) OR (NLR[Title/Abstract])) AND (((((((((Non-Muscle Invasive Bladder Neoplasms[MeSH Terms]) OR (Non Muscle Invasive Bladder Neoplasms[Title/Abstract])) OR (NMIBC[Title/Abstract])) OR (Non-Muscle-Invasive Bladder Cancer[Title/Abstract])) OR (Bladder Cancer, Non-Muscle-Invasive[Title/Abstract])) OR (Bladder Cancers, Non-Muscle-Invasive[Title/Abstract])) OR (Cancer, Non-Muscle-Invasive Bladder[Title/Abstract])) OR (Cancers, Non-Muscle-Invasive Bladder[Title/Abstract])) OR (Non-Muscle Invasive Bladder Cancer[Title/Abstract]))) AND (((((Bacillus Calmette-Guerin[Title/Abstract]) OR (Bacillus Calmette Guerin[Title/Abstract])) OR (Bacillus Calmette-Gu&#xe9;rin[Title/Abstract])) OR (Bacillus Calmette Gu&#xe9;rin[Title/Abstract])) OR (BCG[Title/Abstract])). Additional relevant research was identified by manually reviewing the references cited in the captured articles.</p>
</sec>
<sec id="s2_3">
<title>Inclusion and exclusion criteria</title>
<p>Studies were included if they met the following criteria: (1) articles reporting the relationship between NLR and the prognosis of patients with NMIBC receiving intravesical BCG immunotherapy after surgery, using the formula NLR = neutrophil count/lymphocyte count; (2) groups were classified according to their preoperative NLR levels; (3) specific endpoints of interest, including recurrence and progression; and (4) availability of hazard ratios (HRs) or odds ratios (ORs) with 95% confidence intervals (CIs) or the ability to calculate them from the data presented in the articles. The exclusion criteria consisted of the following: (1) case reports, conference abstracts, editorials, and reviews; (2) studies with insufficient information and extractable data on the treatment and main outcomes of patients with NMIBC; (3) animal studies; (4) duplicates, or surveys investigating the same sample; and (5) the full text was unavailable.</p>
</sec>
<sec id="s2_4">
<title>Study selection and data extraction</title>
<p>In order to determine suitability of the articles, the titles and abstracts screened were independently by two investigators (JH and LL). Subsequently, the full texts were examined. Non-English articles were translated using Google Translate if necessary. In cases of replicated publications, the study with the most extensive information was considered. Discrepancies in study inclusion between the two independent investigators were settled by consulting a third party (DM). Data from the articles were extracted and recorded in a Microsoft Excel spreadsheet (Microsoft Corporation, Redmond, WA) by two investigators (JH and LL) independently, including the following: the name of first author; the year of study publication; study region (country); number of study centers; mean or median age; sample size; tumor stage; follow-up time (months); NLR cutoff; cutoff selection; and survival outcome, HRs, or ORs with 95% CIs.</p>
</sec>
<sec id="s2_5">
<title>Quality assessment</title>
<p>Two investigators (JH and LL) were involved in the quality evaluation using the Newcastle&#x2013;Ottawa Scale (NOS), and a third party (DM) acted as adjudicator in case of disagreement. A higher score indicated a higher study quality, showing a positive correlation between the two. Studies with scores higher than 6 were considered of high quality.</p>
</sec>
<sec id="s2_6">
<title>Study outcomes and statistical analysis</title>
<p>Meta-analysis was conducted using Stata 16.0 software (StataCorp). HRs and 95% CIs were computed as the combined effect size to assess the relationship between pre-treatment NLR and recurrence and progression. The Q test was used to analyze the heterogeneity among the results of the included studies. <italic>I</italic>
<sup>2</sup> was utilized to quantitatively assess the magnitude of heterogeneity. Based on <italic>I</italic>
<sup>2</sup> statistics, heterogeneity was categorized as high (above 75%), moderate (25% to 75%), and low (below 25%) (<xref ref-type="bibr" rid="B29">29</xref>). When <italic>I</italic>
<sup>2</sup> &gt;50% and/or <italic>P</italic> &lt; 0.05, the random model was used; otherwise, the fixed model was used. Potential sources of heterogeneity were identified through subgroup analyses. If grouped data on subgroup categories were not available, then they were excluded. In addition, the meta-analysis was also subjected to a sensitivity analysis in order to eliminate the effect of individual study data on survival outcomes. The publication bias was evaluated using Egger&#x2019;s test. <italic>P</italic> &lt; 0.05 was regarded statistically significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>As a whole, 115 publications were retrieved by searching PubMed (n = 31), Web of Science (n = 39), Cochrane Library (n = 1), and Embase (n = 44). After removing duplicate articles, 52 articles remained for further screening. After reading the titles and abstracts of these publications, 18 studies were identified for full-text screening. In the meta-analysis, a total of seven retrospective studies published between 2017 and 2023 and involving 4,187 participants were ultimately included (<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B36">36</xref>). The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) flowchart of the study selection is described in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. Four studies were conducted in Asian, and five studies were conducted in non-Asian countries. The sample size of the included articles ranged from 89 to 1,709. In terms of tumor type, the seven studies focused on NMIBC and all were patients who underwent intravesical BCG immunotherapy after TURBT. The pathological stage was Ta and/or T1, and five studies reported concurrent CIS. The cutoff values for NLR ranged from 1.361 to 3. Furthermore, all seven studies evaluated the association of preoperative NLR with tumor recurrence, and six studies evaluated the association of NLR with tumor progression. All studies scored at least six points on the NOS, indicating a high overall quality. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> shows an overview of the baseline data and quality evaluations of the studies.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>PRISMA diagram showing the study selection process. *PubMed (n = 31), Web of Science (n = 39), Cochrane Library (n = 1), and Embase (n = 44).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1464635-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>An overview of the baseline data and quality evaluations of the included studies.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Study</th>
<th valign="middle" align="center">Year</th>
<th valign="middle" align="left">Region</th>
<th valign="middle" align="left">Study design</th>
<th valign="middle" align="left">Number of study <break/>centers</th>
<th valign="middle" align="left">Sample size</th>
<th valign="middle" align="left">Age* (years)</th>
<th valign="middle" align="left">Tumor stage</th>
<th valign="middle" align="left">Follow- up <break/>(months)</th>
<th valign="middle" align="left">NLR cutoff</th>
<th valign="middle" align="left">Cutoff selection</th>
<th valign="middle" align="left">Survival outcome</th>
<th valign="middle" align="left">HR</th>
<th valign="middle" align="left">LCI</th>
<th valign="middle" align="left">UCI</th>
<th valign="middle" align="left">NOS score</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="left">Cai et&#xa0;al. (<xref ref-type="bibr" rid="B30">30</xref>)</td>
<td valign="top" rowspan="2" align="center">2023</td>
<td valign="top" rowspan="2" align="center">China</td>
<td valign="top" rowspan="2" align="center">Retrospective</td>
<td valign="top" rowspan="2" align="center">Unicenter</td>
<td valign="top" rowspan="2" align="center">421</td>
<td valign="top" rowspan="2" align="center">61.79 &#xb1; 11.51</td>
<td valign="top" rowspan="2" align="center">Ta, CIS, and T1</td>
<td valign="top" rowspan="2" align="center">17 (IQR, 12&#x2013;27)</td>
<td valign="top" rowspan="2" align="center">1.361</td>
<td valign="top" rowspan="2" align="center">ROC</td>
<td valign="top" align="left">Recurrence</td>
<td valign="middle" align="center">2.732</td>
<td valign="middle" align="center">1.178</td>
<td valign="middle" align="center">6.329</td>
<td valign="middle" rowspan="2" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Progression</td>
<td valign="middle" align="center">1.767</td>
<td valign="middle" align="center">0.619</td>
<td valign="middle" align="center">5.051</td>
</tr>
<tr>
<td valign="top" align="left">Camtosun et&#xa0;al. (<xref ref-type="bibr" rid="B31">31</xref>)</td>
<td valign="top" align="center">2017</td>
<td valign="top" align="center">Turkey</td>
<td valign="top" align="center">Retrospective</td>
<td valign="top" align="center">Unicenter</td>
<td valign="top" align="center">89</td>
<td valign="top" align="center">65 (range, 39&#x2013;83)</td>
<td valign="top" align="center">Ta, CIS, and T1</td>
<td valign="top" align="center">28.7 (range, 12&#x2013;78)</td>
<td valign="top" align="center">2.5</td>
<td valign="top" align="center">ROC</td>
<td valign="top" align="left">Recurrence</td>
<td valign="middle" align="center">4.9</td>
<td valign="middle" align="center">1.68</td>
<td valign="middle" align="center">14.28</td>
<td valign="middle" align="center">7</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Chung et&#xa0;al. (<xref ref-type="bibr" rid="B32">32</xref>)</td>
<td valign="top" rowspan="2" align="center">2021</td>
<td valign="top" rowspan="2" align="center">Korea</td>
<td valign="top" rowspan="2" align="center">Retrospective</td>
<td valign="top" rowspan="2" align="center">Unicenter</td>
<td valign="top" rowspan="2" align="center">281</td>
<td valign="top" rowspan="2" align="center">67.38 &#xb1; 10.58</td>
<td valign="top" rowspan="2" align="center">Ta and T1</td>
<td valign="top" rowspan="2" align="center">46</td>
<td valign="top" rowspan="2" align="center">2.29</td>
<td valign="top" rowspan="2" align="center">ROC</td>
<td valign="top" align="left">Recurrence</td>
<td valign="middle" align="center">2.514</td>
<td valign="middle" align="center">1.657</td>
<td valign="middle" align="center">3.483</td>
<td valign="middle" rowspan="2" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Progression</td>
<td valign="middle" align="center">6.119</td>
<td valign="middle" align="center">1.975</td>
<td valign="middle" align="center">21.622</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">D&#x2019;Andrea et&#xa0;al. (<xref ref-type="bibr" rid="B33">33</xref>)</td>
<td valign="top" rowspan="2" align="center">2017</td>
<td valign="top" rowspan="2" align="center">Austria</td>
<td valign="top" rowspan="2" align="center">Retrospective</td>
<td valign="top" rowspan="2" align="center">Multicenter</td>
<td valign="top" rowspan="2" align="center">110</td>
<td valign="top" rowspan="2" align="center">NA</td>
<td valign="top" rowspan="2" align="center">Ta and T1</td>
<td valign="top" rowspan="2" align="center">68</td>
<td valign="top" rowspan="2" align="center">3</td>
<td valign="top" rowspan="2" align="center">ROC</td>
<td valign="top" align="left">Recurrence</td>
<td valign="middle" align="center">1.6</td>
<td valign="middle" align="center">0.6</td>
<td valign="middle" align="center">4.7</td>
<td valign="middle" rowspan="2" align="center">7</td>
</tr>
<tr>
<td valign="top" align="left">Progression</td>
<td valign="top" align="center">3.1</td>
<td valign="top" align="center">0.9</td>
<td valign="top" align="center">10.7</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Ferro et&#xa0;al. (<xref ref-type="bibr" rid="B34">34</xref>)</td>
<td valign="top" rowspan="2" align="center">2022</td>
<td valign="top" rowspan="2" align="center">Italy, Romania, and USA</td>
<td valign="top" rowspan="2" align="center">Retrospective</td>
<td valign="top" rowspan="2" align="center">Multicenter</td>
<td valign="top" rowspan="2" align="center">1,382</td>
<td valign="top" rowspan="2" align="center">69.87 &#xb1; 9.71</td>
<td valign="top" rowspan="2" align="center">CIS and T1</td>
<td valign="top" align="center">27 (IQR, 8&#x2013;35)</td>
<td valign="top" rowspan="2" align="center">NA</td>
<td valign="top" rowspan="2" align="center">NA</td>
<td valign="top" align="left">Recurrence</td>
<td valign="middle" align="center">7.471</td>
<td valign="middle" align="center">5.394</td>
<td valign="middle" align="center">10.346</td>
<td valign="middle" rowspan="2" align="center">7</td>
</tr>
<tr>
<td valign="top" align="center">22 (IQR, 36&#x2013;58)</td>
<td valign="top" align="left">Progression</td>
<td valign="middle" align="center">1.014</td>
<td valign="middle" align="center">0.8</td>
<td valign="middle" align="center">1.285</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Li et&#xa0;al. (<xref ref-type="bibr" rid="B35">35</xref>)</td>
<td valign="top" rowspan="2" align="center">2023</td>
<td valign="top" rowspan="2" align="center">China</td>
<td valign="top" rowspan="2" align="center">Retrospective</td>
<td valign="top" rowspan="2" align="center">Unicenter</td>
<td valign="top" rowspan="2" align="center">195</td>
<td valign="top" rowspan="2" align="center">64.17 &#xb1; 11.05</td>
<td valign="top" rowspan="2" align="center">CIS and T1</td>
<td valign="top" rowspan="2" align="center">30.18 &#xb1; 15.67</td>
<td valign="top" rowspan="2" align="center">NA</td>
<td valign="top" rowspan="2" align="center">NA</td>
<td valign="top" align="left">Recurrence</td>
<td valign="middle" align="center">2.303</td>
<td valign="middle" align="center">1.457</td>
<td valign="middle" align="center">3.638</td>
<td valign="middle" rowspan="2" align="center">6</td>
</tr>
<tr>
<td valign="top" align="left">Progression</td>
<td valign="middle" align="center">2.334</td>
<td valign="middle" align="center">1.34</td>
<td valign="middle" align="center">4.066</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Nishikawa et&#xa0;al. <xref ref-type="bibr" rid="B36">36</xref>
</td>
<td valign="top" rowspan="2" align="center">2023</td>
<td valign="top" rowspan="2" align="center">Japan</td>
<td valign="top" rowspan="2" align="center">Retrospective</td>
<td valign="top" rowspan="2" align="center">Multicenter</td>
<td valign="top" rowspan="2" align="center">1,709</td>
<td valign="top" rowspan="2" align="center">72 (IQR, 65&#x2013;78)</td>
<td valign="top" rowspan="2" align="center">Ta, CIS, and T1</td>
<td valign="top" rowspan="2" align="center">60</td>
<td valign="top" rowspan="2" align="center">2.5</td>
<td valign="top" rowspan="2" align="center">Based on<break/>reports</td>
<td valign="top" align="left">Recurrence</td>
<td valign="middle" align="center">1.093</td>
<td valign="middle" align="center">0.902</td>
<td valign="middle" align="center">1.325</td>
<td valign="middle" rowspan="2" align="center">8</td>
</tr>
<tr>
<td valign="top" align="left">Progression</td>
<td valign="middle" align="center">1.283</td>
<td valign="middle" align="center">0.95</td>
<td valign="middle" align="center">1.732</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CIS, carcinoma <italic>in situ</italic>; HR, hazard ratio; IQR, interquartile range; LCI, lower confidence interval; NLR, neutrophil-to-lymphocyte ratio; NOS, Newcastle&#x2013;Ottawa Scale; ROC, receiver operating characteristic curve; UCI, upper confidence interval.</p>
</fn>
<fn>
<p>NA, Not Available.*Age including mean age and/or median age.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<sec id="s3_1">
<title>Association of preoperative NLR and recurrence in patients with NMIBC with intravesical BCG immunotherapy</title>
<p>The seven studies all reported the predictive value of preoperative NLR in the risk of tumor recurrence. A random effects model (<italic>I</italic>
<sup>2</sup> = 94.3%, <italic>P</italic> &lt; 0.001) was employed and the pooled analysis showed that patients with elevated NLR tended to have a higher recurrence risk (HR = 2.67, 95% CI = 1.34&#x2013;5.32) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>). The sensitivity analysis indicated that removing individual studies did not affect the results of this study; hence, the results of the above random effects were stable and reliable, as shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>. Then, the source of heterogeneity was assessed on the basis of ethnicity (Asian and non-Asian), number of study centers (unicenter and multicenter), sample size (&lt;300 subjects and &#x2265;300 subjects), and tumor stage (with concomitant CIS and without concomitant CIS). Moreover, subgroup analyses demonstrated that preoperative NLR remained a significant prognostic factor for recurrence and failed to find the source of heterogeneity, as shown in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. The subgroup analyses did not explain the source of heterogeneity. Subsequently, Egger&#x2019;s tests were conducted to evaluate publication bias, showing no statistically significant publication bias (<italic>P</italic> = 0.355).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forest plots of the prognostic role of NLR for recurrence in patients with NMIBC.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1464635-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Sensitivity analyses for the association of NLR and recurrence in patients with NMIBC.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1464635-g003.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Subgroup analyses for the prognostic role of NLR for recurrence and progression in patients with NMIBC.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Outcome</th>
<th valign="top" align="left">Subgroups</th>
<th valign="top" align="left"/>
<th valign="top" align="center">Number of studies</th>
<th valign="top" align="center">HR (95% CI)</th>
<th valign="top" align="center">
<italic>I</italic>
<sup>2</sup>
</th>
<th valign="top" align="center">
<italic>P</italic> for <break/>heterogeneity</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="8" align="left">Recurrence</td>
<td valign="top" rowspan="2" align="left">Ethnicity</td>
<td valign="top" align="left">Asian</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.95 (1.13&#x2013;3.36)</td>
<td valign="top" align="center">86.8%</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">Non-Asian</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">4.24 (1.68&#x2013;10.72)</td>
<td valign="top" align="center">75.2%</td>
<td valign="top" align="center">0.018</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Number of study centers</td>
<td valign="top" align="left">Unicenter</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2.56 (1.97&#x2013;3.34)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.648</td>
</tr>
<tr>
<td valign="top" align="left">Multicenter</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2.39 (0.54&#x2013;10.60)</td>
<td valign="top" align="center">98.0%</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Sample size</td>
<td valign="top" align="left">&lt;300</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2.47 (1.89&#x2013;3.23)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.502</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;300</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2.81 (0.66&#x2013;12.00)</td>
<td valign="top" align="center">98.0%</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Tumor stage</td>
<td valign="top" align="left">Without concomitant CIS</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">2.39 (1.68&#x2013;3.38)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.418</td>
</tr>
<tr>
<td valign="top" align="left">With concomitant CIS</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">2.96 (1.14&#x2013;7.69)</td>
<td valign="top" align="center">96.2%</td>
<td valign="top" align="center">&lt;0.001</td>
</tr>
<tr>
<td valign="top" rowspan="8" align="left">Progression</td>
<td valign="top" rowspan="2" align="left">Ethnicity</td>
<td valign="top" align="left">Asian</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">2.04 (1.16&#x2013;3.61)</td>
<td valign="top" align="center">65.5%</td>
<td valign="top" align="center">0.033</td>
</tr>
<tr>
<td valign="top" align="left">Non-Asian</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1.49 (0.53&#x2013;4.23)</td>
<td valign="top" align="center">66.9%</td>
<td valign="top" align="center">0.082</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Number of study centers</td>
<td valign="top" align="left">Unicenter</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2.63 (1.49&#x2013;4.46)</td>
<td valign="top" align="center">23.7%</td>
<td valign="top" align="center">0.269</td>
</tr>
<tr>
<td valign="top" align="left">Multicenter</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.20 (0.88&#x2013;1.64)</td>
<td valign="top" align="center">50.5%</td>
<td valign="top" align="center">0.133</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Sample size</td>
<td valign="top" align="left">&lt;300</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2.85 (1.75&#x2013;4.63)</td>
<td valign="top" align="center">3.8%</td>
<td valign="top" align="center">0.354</td>
</tr>
<tr>
<td valign="top" align="left">&#x2265;300</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">1.13 (0.93&#x2013;1.38)</td>
<td valign="top" align="center">8.5%</td>
<td valign="top" align="center">0.335</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Tumor stage</td>
<td valign="top" align="left">Without concomitant CIS</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">4.41 (1.86&#x2013;10.41)</td>
<td valign="top" align="center">0</td>
<td valign="top" align="center">0.439</td>
</tr>
<tr>
<td valign="top" align="left">With concomitant CIS</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">1.37 (0.97&#x2013;1.93)</td>
<td valign="top" align="center">63.3%</td>
<td valign="top" align="center">0.043</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CIS, carcinoma <italic>in situ</italic>; HR, hazard ratio; NLR, neutrophil-to-lymphocyte ratio.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Association of preoperative NLR and progression in patients with NMIBC with intravesical BCG immunotherapy</title>
<p>Six studies reported the predictive value of preoperative NLR in the risk of tumor progression; the pooled analysis showed that patients with elevated NLR tended to have a higher progression risk (HR = 1.72, 95% CI = 1.13&#x2013;2.60), based on a random effects model (<italic>I</italic>
<sup>2</sup> = 70.8%, <italic>P</italic> = 0.004) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The sensitivity analysis revealed that the arbitrary deletion of studies did not affect the results, indicating that the results of the above random effects are stable and reliable, as shown in <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>. Further subgroup analysis revealed that the number of study centers and the sample size might be the main source of heterogeneity (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). Egger&#x2019;s tests were conducted to evaluate publication bias, showing the possibility of publication bias (<italic>P</italic> = 0.023). However, discussing publication bias in a meta-analysis containing less than 10 studies presents a challenge (<xref ref-type="bibr" rid="B37">37</xref>). The number of studies with publication bias included in the above analysis was relatively small, so the trim-and-fill method cannot be used to assess publication bias.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Forest plots of the prognostic role of NLR for progression in patients with NMIBC.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1464635-g004.tif"/>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Sensitivity analyses for the association of NLR and progression in patients with NMIBC.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1464635-g005.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Our research findings indicate that elevated preoperative NLR levels are a promising and cost-effective prognostic biomarker for recurrence and progression in patients with NMIBC with intravesical BCG immunotherapy. To the extent of our knowledge, this is the first meta-analysis to comprehensively examine the relationship between preoperative NLR levels and the risk of recurrence and progression in patients with NMIBC who underwent intravesical BCG immunotherapy. In patients with NMIBC receiving intravesical BCG immunotherapy after TURBT, the combined results showed a significant correlation between preoperative NLR and recurrence and progression. The increase in preoperative NLR levels independently increased the risk of recurrence and progression in patients with NMIBC receiving intravesical BCG immunotherapy after TURBT. These findings provide valuable insights into the potential of NLR as a prognostic marker for patients with NMIBC receiving intravesical BCG immunotherapy, which can guide the follow-up of patients with NMIBC.</p>
<p>TURBT and intravesical BCG immunotherapy are recommended as treatments for patients with intermediate- and high-risk NMIBC to reduce the risk of recurrence and progression of NMIBC (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B38">38</xref>). The EORTC risk score is used to evaluate the risk of recurrence and progression of NMIBC receiving intravesical BCG immunotherapy after TURBT (<xref ref-type="bibr" rid="B15">15</xref>). Jae Wook Chung et&#xa0;al. reported that the combined use of preoperative NLR and EORTC systems could improve the predictive accuracy of disease progression (<xref ref-type="bibr" rid="B32">32</xref>). Hence, NLR represents a practical, cost-effective, and non-invasive biomarker that has been widely used to predict poor prognosis of tumors. The NLR was calculated using the formula below: NLR = neutrophil count/lymphocyte count. As a result, an elevated NLR could be caused by increased neutrophils and/or decreased lymphocytes. The predictive role of NLR in cancer can be explained by several potential mechanisms.</p>
<p>The development, invasion, proliferation, and metastasis of BCa could be promoted by many cell types. The microenvironment of cancer cells is altered by the recruitment and activation of stromal, adipocyte, fibroblast, inflammatory, and mesenchymal progenitors (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>). The potential predictive role of NLR in carcinogenesis and tumor invasiveness may be attributed to the interaction with other cell populations to produce cytokines and effector molecules as the number of neutrophils increases (<xref ref-type="bibr" rid="B41">41</xref>). In the tumor environment, neutrophils play a role in controlling immune responses by polarizing to antitumorigenic or protumorigenic phenotypes (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>). They are rapidly recruited to pathogen signals, including chemotactic mediators, lipid mediators, chemokines, and cytokines, to mediate host defense (<xref ref-type="bibr" rid="B44">44</xref>). The major pro-tumor activities include cancer cell proliferation, cell invasion, metastasis, extracellular matrix remodeling, angiogenesis, lymphangiogenesis, and suppression of antitumor immune surveillance (<xref ref-type="bibr" rid="B45">45</xref>). All of these contribute to tumor formation and development (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>). In addition, lymphocytes play a role in immune defense by promoting the death of cytotoxic cells and inhibiting the proliferation and migration of tumor cells (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>). Improvements in therapeutic outcomes are associated with lymphocyte infiltration in tumor tissues. In contrast, when lymphocyte numbers in the tumor microenvironment decrease, the anti-tumor ability decreases, leading to immune tolerance and tumor escape (<xref ref-type="bibr" rid="B50">50</xref>). Thus, elevated NLR levels resulting from elevated neutrophil count and decreased lymphocyte count are often associated with poor prognosis in patients with cancer. Consequently, patients with elevated NLR levels should receive more aggressive therapy and a closer follow-up to ensure the timely detection of tumor recurrence and progression. It is worth popularizing in clinical practice as a cost-effective and practical biomarker that could lead to a turning point in the treatment of patients with BCG-unresponsive NMIBC. The recommended treatment for BCG-unresponsive disease remains radical cystectomy and urinary diversion (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B51">51</xref>). Therefore, to order to meet patients who desire a bladder-sparing approach or are too frail for major surgery, intravesical chemotherapy, chemo-hyperthermia, immunotherapy, inflammation-targeted agents, and gene therapy receive more attention; novel molecular therapeutic targets including Programmed Death-1 (PD-1)/Programmed Death-ligand 1 (PD-L1) and Cytotoxic T-lymphocyte-associated Protein 4 (CTLA-4) also receive attention (<xref ref-type="bibr" rid="B52">52</xref>&#x2013;<xref ref-type="bibr" rid="B55">55</xref>).</p>
<p>Nonetheless, the relationship between the systemic NLR and the local bladder tumor infiltration of neutrophils and lymphocytes remains unknown. Wael Abdo Hassan et&#xa0;al. performed a pathological examination for tumor grade and stage and for tumor-infiltrating neutrophils and lymphocytes, and determined the NLR at the tissue level. They reported a significant increase in neutrophil count in high-grade BCa cases compared to that in low-grade cases. Moreover, a significant increase in neutrophil count and a decrease in CD8 lymphocytes were observed in MIBC cases compared to that in NMIBC cases, indicating the tumor-promoting effect of neutrophils and the possible role of CD8 lymphocytes in hindering the progression to muscle invasion. In addition, significantly higher NLR was found in MIBC cases compared to that in the NMIBC cases in high-grade neoplasms. NLR was more likely to be associated with the progression of tumor invasion compared to that in the tumor grade (<xref ref-type="bibr" rid="B56">56</xref>). The above findings indicated that the systemic NLR was correlated with tumor-infiltrating NLR at the tissue level. However, further study is required to confirm it.</p>
<p>However, there are several limitations that should be acknowledged in this meta-analysis. Firstly, because all the included studies were retrospective, confounding factors may affect the accuracy of our findings. Although the participants included were patients with NMIBC, there were differences in the basic characteristics, clinical stage, histological subtypes, and degree of tumor invasion and treatment of patients with NMIBC in the included literature. For example, there are obvious differences in the prognosis of different histological subtypes. According to previous literature reports, the risk of recurrence and progression of high-grade lesions is significantly higher than that of low-grade (<xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B58">58</xref>). CIS is considered a precursor of invasive high-grade cancer, and 54% of patients will progress to myometrial invasion without treatment (<xref ref-type="bibr" rid="B59">59</xref>). The re-TURBT and upfront BCG may also affect the tumor prognosis (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B61">61</xref>). According to the European Association of Urology (EAU) guidelines, lymph vessel invasion (LVI), CIS in prostatic urethra, and EAU risk groups also determined the different prognosis, but only one literature in the included studies mentioned LVI and CIS in prostatic urethra (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B62">62</xref>, <xref ref-type="bibr" rid="B63">63</xref>). Due to the relatively small sample size, all confounding factors could not be considered in the subgroup analysis. Further prospective studies should be conducted to validate the current findings and produce stronger evidence. Secondly, the criteria for choosing cutoff values differ across studies, which may introduce selection bias related to factors such as ethnicity or clinical setting. Careful consideration of standardized methods or cutoff values tailored to different patient populations or clinical settings has significant value. Thirdly, the publication bias needs to be considered. Finally, a significant heterogeneity in recurrence and progression was found. However, a subgroup analysis was performed and found a potential source of heterogeneity.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>This meta-analysis demonstrated that elevated preoperative NLR levels were significantly associated with recurrence and disease progression in patients with NMIBC who underwent intravesical BCG immunotherapy after TURBT. As a cost-effective and practical biomarker, NLR can serve as a useful tool to guide the management and follow-up of patients with NMIBC. However, further large-scale prospective validation studies are needed to confirm these findings.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>JH: Data curation, Formal analysis, Writing &#x2013; original draft. LL: Data curation, Formal analysis, Writing &#x2013; original draft. DM: Investigation, Methodology, Supervision, Writing &#x2013; original draft. RH: Supervision, Validation, Writing &#x2013; review &amp; editing. FG: Conceptualization, Methodology, Project administration, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>Thanks for the contribution of the participants and Home for Researchers editorial team (<ext-link ext-link-type="uri" xlink:href="http://www.home-for-researchers.com">www.home-for-researchers.com</ext-link>) for language editing service.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr" id="abbrev1">
<p>BCa, bladder cancer; BCG, Bacillus Calmette&#x2013;Gu&#xe9;rin; CI, confidence interval; CIS, carcinoma <italic>in situ</italic>; CSS, cancer-specific survival; EORTC, European Organization for Research and Treatment of Cancer; HR, hazard ratio; MeSH, Medical Subject Heading; NLR, neutrophil-to-lymphocyte ratio; NMIBC, non&#x2013;muscle-invasive bladder cancer; NOS, Newcastle&#x2013;Ottawa Scale; OS, overall survival; PFS, progression-free survival; RFS, recurrence-free survival; TURBT, transurethral resection of the bladder tumor.</p>
</fn>
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