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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2022.1101830</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Oncology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The different predictive value of mean platelet volume-to-lymphocyte ratio for postoperative recurrence between non-muscular invasive bladder cancer patients treated with intravesical chemotherapy and intravesical chemohyperthermia</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Chengbo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2104339"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jin</surname>
<given-names>Wenjun</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ma</surname>
<given-names>Xiaodong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Dong</surname>
<given-names>Zhilong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2104494"/>
</contrib>
</contrib-group>    <aff id="aff1">
<sup>1</sup>
<institution>The Department of Urology, Lanzhou University Second Hospital, Lanzhou University</institution>, <addr-line>Lanzhou, Gansu</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>The Department of Urology, Wuwei Cancer Hospital of Gansu Province</institution>, <addr-line>Wuwei, Gansu</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Nicola Pavan, Azienda Ospedaliera Universitaria Policlinico Paolo Giaccone, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Xiaobin Gu, First Affiliated Hospital of Zhengzhou University, China; Francesco Claps, The Netherlands Cancer Institute (NKI), Netherlands; Gabriele Tulone, Azienda Ospedaliera Universitaria Policlinico Paolo Giaccone, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Zhilong Dong, <email xlink:href="mailto:dzl19780829@163.com">dzl19780829@163.com</email>
</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Genitourinary Oncology, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>1101830</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Wang, Jin, Ma and Dong</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Wang, Jin, Ma and Dong</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>Introduction</title>
<p>The inflammatory response plays a potential role in postoperative recurrence in patients with non-muscular invasive bladder cancer (NMIBC). We aimed to investigate whether platelet-to-lymphocyte ratio (PLR), mean platelet volume to lymphocyte ratio (MPVLR), and the systemic immune-inflammatory index (SII) have prognostic values in NMIBC treated with conventional intravesical chemotherapy or intravesical Chemohyperthermia (CHT) and the differences between them.</p>
</sec>
<sec>
<title>Materials and methods</title>
<p>A retrospective cohort study was conducted on 222 patients with NMIBC treated with Intravesical Chemotherapy or Intravesical CHT between January 2016 and December 2020. Within a week before surgery, PLR, MPVLR, and SII were determined based on routine blood settling. The optimal cutoff value of each index was determined using the receiver operating characteristic curve, and various groups were categorized accordingly. The factors influencing the prognosis of NMIBC patients receiving various treatments were investigated using the Kaplan- Meier survival curve and the Cox regression model.</p>
</sec>
<sec>
<title>Results</title>
<p>69 cases (46.3%) in the gemcitabine (GEM) group had tumor recurrence and 19 (12.8%) of them progressed to muscle-invasive bladder cancer (MIBC) or got metastasis, while 19 cases (26.0%) in the CHT group recurred and 2 (2.7%) progressed. Elevated PLR, MPVLR, and SII were associated with higher recurrence rates in the GEM group. Meanwhile, PLR and MPVLR were the independent risk factors. While in the CHT group, high PLR and SII were related to postoperative recurrence and none of them were independent risk factors.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The preoperative clinical inflammatory indexes PLR, SII, and MPVLR have certain predictive value for the postoperative recurrence-free survival (RFS) in NMIBC patients treated with intravesical chemotherapy while PLR and SII can predict the prognosis of NMIBC patients treated with intravesical CHT, which indicates that intravesical CHT may stop tumor recurrence by influencing the effect of mean platelet volume on tumor growth through some unknown mechanisms.</p>
</sec>
</abstract>
<kwd-group>
<kwd>hyperthermia</kwd>
<kwd>intravesical chemotherapy</kwd>
<kwd>mean platelet volume to lymphocyte ratio</kwd>
<kwd>non-muscular invasive bladder cancer</kwd>
<kwd>platelet to lymphocyte ratio</kwd>
<kwd>recurrence</kwd>
<kwd>systemic immune inflammation index</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="37"/>
<page-count count="12"/>
<word-count count="5609"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>1 Introduction</title>
<p>Bladder cancer (BC) is one of the most common cancers in the urinary system, and its incidence ranks eleventh in the global incidence of malignant tumors (<xref ref-type="bibr" rid="B1">1</xref>). 70% to 80% of patients with BC are diagnosed with non-muscle invasive bladder cancer (NMIBC) (<xref ref-type="bibr" rid="B2">2</xref>). The standard treatment for NMIBC is getting the transurethral resection of bladder tumor (TURBT) with postoperative intravesical chemotherapy or Bacillus Calmette-Guerin (BCG) infusion, and then undergoing a second surgery when it is necessary. However, the recurrence rate of NMIBC after surgery has remained high. Chemohyperthermia (CHT) is a new method for postoperative perfusion, which increases the absorption of chemotherapy drugs in the bladder wall by locally heating the bladder to improve its efficacy. Many studies have shown that its efficacy in NMIBC is better than intravesical chemotherapy and it is certainly safe. Using biomarkers to predict the prognosis of NMIBC can benefit the treatment of NMIBC and reduce its recurrence and progression.</p>
<p>Lymphocytes are involved in cytotoxic cell death and inhibit tumor cell proliferation and metastasis. Platelets are involved in different stages of tumor angiogenesis, including proliferation, migration, extracellular matrix degradation, and adhesion of endothelial cells. Platelet-to-lymphocyte ratio (PLR) has been shown to be significantly associated with cancer-specific survival (CSS) and overall survival (OS) in urothelial carcinoma patients who underwent total cystectomy (<xref ref-type="bibr" rid="B3">3</xref>). Mean platelet volume (MPV), a known biomarker of pro-inflammatory and prothrombotic states, is considered an inflammatory marker of cardiovascular, rheumatic, and digestive diseases. There are few studies on MPV to lymphocyte ratio (MVPLR) for tumor prognosis. In addition, there is little research on the relationship between the systemic immune-inflammatory index (SII) and the prognosis of NMIBC patients. But SII has a good prognostic value for patients with hepatocellular carcinoma and renal clear cell carcinoma.</p>
<p>The purpose of this study was to investigate whether PLR, MPVLR, and SII have prognostic value in NMIBC treated with conventional intravesical instillation or intravesical CHT. Will they play different prognostic roles due to different ways of perfusion?</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>2 Materials and methods</title>
<sec id="s2_1">
<title>2.1 Study design and data collection</title>
<p>The participants were composed of patients with NMIBC who underwent the first transurethral bladder tumor resection (TURBT) at Lanzhou University Second Hospital and Gansu Wuwei tumor Hospital between January 2016 and December 2020. Exclusion criteria were as follows:&#x2460;Preoperative urinary tract infection or systemic infection, serious complications (such as bladder perforation, severe bleeding) occurred during or after surgery;&#x2461;Patients with immune system diseases, blood diseases or other malignant tumors;&#x2462;Neurogenic bladder;&#x2463;Due to various reasons (psychological disorders, urethral stricture, etc.), the chemotherapy sessions were not completed according to the plan;&#x2464;Lost to follow-up due to various reasons. Immediately after receiving TURBT (within 48h), the patients at Lanzhou University Second Hospital (GEM group) were treated with gemcitabine (GEM) for 8 weekly induction sessions and then 10 monthly maintenance sessions. Meanwhile, the patients at Gansu Wuwei tumor Hospital (CHT group) were treated with intravesical CHT with GEM/THP-adriamycin (THP) 3 times right after taking the operation. These three sessions were conducted 48h apart, and then the patients took monthly subsequent treatments of common intravesical chemotherapy for the next year. We used the BR-TRG-I body cavity hyperthermia therapeutic instrument (developed in China) for intravesical chemohyperthermia. The water inlet of the three-chamber catheter is connected to the perfusion tube of the instrument, and the liquid from the water outlet flows back into the instrument to form a circulatory system so that the heated drugs can be injected into the bladder at a constant temperature and circularly. The speed of perfusion is about 150ml/min, the temperature difference is less than 1&#xb0;C, and the duration is 45min.</p>
<p>From computerized medical records and telephone consultations, the participants&#x2019; clinical information, including age, gender, tumor number, tumor size, tumor pathological grade, and tumor pathological stage, were gathered. After taking the operation, the patients received a cystoscopy examination 3 months later and then underwent a cystoscopy examination every six months. Urine cytology was performed every 3 months, and a color Doppler ultrasound or CT examination of the urinary system was performed every six months. The primary index of survival analysis was recurrence-free survival (RFS). RFS data were mostly collected by outpatient review or telephone follow-up. RFS was calculated as the interval between the initial pathological confirmation of NMIBC and the initial postoperative recurrence. Follow-ups were required by May 1, 2022.</p>
<p>The neutrophil count, lymphocyte count, platelet count, and MPV from the patient&#x2019;s blood routine test results within one week prior to operation TURBT were used to determine PLR, MPVLR, and SII. PLR was calculated by dividing absolute platelet counts by absolute lymphocyte counts. MPVLR was computed by dividing the MPV by absolute lymphocyte counts. SII was calculated by the product of neutrophil counts and platelet counts to lymphocyte counts. PLR, MPVLR, and SII were categorized into two groups according to different optimal cut-off values for each outcome. The receiver operating characteristic curve (ROC curve), based on the method of the Youden index, was used to calculate the optimal cut-off values of them. These cut-off points optimized the differentiating functionality of the PLR, MPVLR, and SII when an equal weight was given to the specificity and sensitivity (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>).</p>
</sec>
<sec id="s2_2">
<title>2.2 Statistical analyses</title>
<p>All statistical analyses have been carried out by the usage of SPSS 26.0 version statistical software (IBM) and GraphPad Prism version 7.0 (GraphPad Software Inc.). We chose recurrence as the primary outcome and calculated the best cut-off value of each index with the ROC curves of PLR, MPVLR and SII combined with the maximum Youden index. Then we classified these patients into a high-count group and a low-count group accordingly. The clinical data between two groups (high or low) of the same variable were compared. Counting variables were compared by using the X<bold>
<sup>2</sup>
</bold> test or Fisher exact probability method. Kaplan- Meier method was used to draw survival curves. We also used the Log-rank test to compare the RFS among different PLR, MPVLR, and SII groups. The risk factors affecting prognosis were analyzed by the Cox regression model.</p>
<p>All P values were two-sided, and a value of less than 0.05 was considered significant. The study protocols were reviewed and approved by the Medical Ethics Committee of Lanzhou University Second Hospital (File No. 2022A-299) in June 2022.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>3 Results</title>
<p>A total of 222 cases were enrolled in this study, which consisted of 149 patients in the GEM group and 73 patients in the CHT group. The median follow-up time was 42 months (interquartile range:17-48 months). 69 cases in the GEM group had tumor recurrence and 19 of them progressed to MIBC or got metastasis, 3 of them died of cancer. while 19 cases in the CHT group recurred and 2 progressed, none of them died of cancer.</p>
<sec id="s3_1">
<title>3.1 Efficacy comparison between the GEM group and the CHT group</title>
<p>
<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> shows the clinical baseline comparison between the GEM group and the CHT group. The patient&#x2019;s gender (X<bold>
<sup>2</sup>
</bold> =0.200, p=0.655), age (t=0.709, p=0.479), tumor size (t=-1.365, p = 0.147), number of tumors (t=1.223, p=0.223), tumor pathological grade (X<bold>
<sup>2</sup>
</bold> =0.348, p=0.555) and pathological stage (X<bold>
<sup>2</sup>
</bold> =0.436, p=0.509) all confirmed no significant difference between the two groups (p&gt;0.05).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Clinicopathological data of patients with NMIBC between the GEM group and the CHT group.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Clinicopathological<break/>variable</th>
<th valign="middle" align="center">CHT group (n = 73)</th>
<th valign="middle" align="center">GEM group (n = 149)</th>
<th valign="middle" align="center">t/X&#xb2;</th>
<th valign="middle" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<bold>Gender</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.200</td>
<td valign="middle" align="center">0.655</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="middle" align="center">57</td>
<td valign="middle" align="center">123</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">26</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Preoperative age</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.709</td>
<td valign="middle" align="center">0.479</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264;60yr.</td>
<td valign="middle" align="center">37</td>
<td valign="middle" align="center">69</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;60-70yr.</td>
<td valign="middle" align="center">25</td>
<td valign="middle" align="center">48</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;70yr.</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">32</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Tumour size</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">-1.365</td>
<td valign="middle" align="center">0.147</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264;3cm</td>
<td valign="middle" align="center">62</td>
<td valign="middle" align="center">109</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt;3cm</td>
<td valign="middle" align="center">11</td>
<td valign="middle" align="center">40</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Amount of tumours</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.223</td>
<td valign="middle" align="center">0.223</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;n &#x2264; 3</td>
<td valign="middle" align="center">57</td>
<td valign="middle" align="center">135</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;n&gt;3</td>
<td valign="middle" align="center">16</td>
<td valign="middle" align="center">14</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Grade</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.348</td>
<td valign="middle" align="center">0.555</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low</td>
<td valign="middle" align="center">49</td>
<td valign="middle" align="center">94</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High</td>
<td valign="middle" align="center">24</td>
<td valign="middle" align="center">55</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>T stage</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.436</td>
<td valign="middle" align="center">0.509</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Ta</td>
<td valign="middle" align="center">61</td>
<td valign="middle" align="center">119</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;T1</td>
<td valign="middle" align="center">12</td>
<td valign="middle" align="center">30</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CHT, Chemohyperthermia; GEM, gemcitabine.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The survival curves were finished by using The Kaplan-Meier method (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A, B</bold>
</xref>). We used the Log-rank test to compare the RFS and progression-free survival (PFS) between the two groups. The RFS of the GEM group and the CHT group were 43.9% and 26.0%, respectively, which showed a significant difference between them(p=0.033). The PFS rates of the GEM group and the CHT group were 12.1% and 2.7%, respectively, which also showed a significant difference (p=0.027).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>
<bold>(A)</bold> Kaplan-Meier survival estimation of the gemcitabine (GEM) group and Chemohyperthermia (CHT) group when recurrence-free survival (RFS) as the outcome. <bold>(B)</bold> Kaplan-Meier survival estimation of the GEM group and CHT group when progression- free survival (PFS) as the outcome.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-1101830-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>3.2 AUC analyses of PLR, MPVLR, and SII</title>
<p>In the GEM group, The areas under the ROC curves of PLR, MPVLR, and SII were 0.551, 0.605, and 0.520, respectively. The optimal cut-off values were figured out by choosing the maximum value of the Youden Index as follows: The cut-off value of PLR, MPVLR, and SII were 93.075(sensitivity 0.667 and specificity 0.506), 6.377(sensitivity 0.621 and specificity 0.639), and 707.385 (sensitivity 0.121 and specificity 0.964), respectively. The PLR was classified into the low PLR group (64 cases) and the high PLR group (85 cases) based on 93.075. The MPVLR was classified into the low MPVLR group (79 cases) and the high MPVLR group (70 cases) based on 6.377. The SII was classified into the low SII group (138 cases) and the high SII group (11 cases) based on 707.385(<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>
<bold>(A)</bold> the receiver operating characteristic (ROC) curves of the best cutoff values of platelet-to-lymphocyte ratio (PLR) PLR, mean platelet volume to lymphocyte ratio (MPVLR), and systemic immune inflammatory index (SII) of the GEM group. <bold>(B)</bold> Comparison of sur-vival curves between the high PLR group and the low PLR group. <bold>(C)</bold> Comparison of survival curves between the high MPVLR group and the low MPVLR group. <bold>(D)</bold> Comparison of survival curves between the high SII group and the low SII group.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-1101830-g002.tif"/>
</fig>
<p>In the CHT group, The areas under the ROC curves of PLR, MPVLR, and SII were 0.573, 0.556, and 0.608, respectively. The optimal cut-off values were selected in an identical way to the GEM group: the PLR cut-off value was 183.863(sensitivity 0.263 and specificity 0.944); the MPVLR cut-off value was 7.267(sensitivity 0.632 and specificity 0.537); the SII cut-off value was 575.335 (sensitivity 0.632 and specificity 0.722). The PLR was classified into the low PLR group (65 cases) and the high PLR group (8 cases) on the basis of 183.863. The MPVLR was classified into the low MPVLR group (36 cases) and the high MPVLR group (37 cases) on the basis of 7.267. The SII was classified into the low SII group (57 cases) and the high SII group (16 cases) on the basis of 575.335 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>
<bold>(A)</bold> ROC curves of the best cutoff values of PLR, MPVLR, and SII of the CHT group. <bold>(B)</bold> Comparison of survival curves between the high PLR group and the low PLR group. <bold>(C)</bold> Comparison of survival curves between the high MPVLR group and the low MPVLR group. <bold>(D)</bold> Comparison of survival curves between the high SII group and the low SII group.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-1101830-g003.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>3.3 The relationship between patient clinical data and PLR, MPVLR and SII</title>
<p>In the GEM group, as <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> shows, the patient&#x2019;s gender, age, tumor size, number of tumors, tumor pathological grade, and pathological stage did not differ significantly across groups. In the CHT group, shown in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>, only tumor size between the high PLR group and the low PLR group showed significant differences (X<bold>
<sup>2 =</sup>
</bold>5.775, p=0.016). Other clinical features also did not differ significantly across the groups.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Correlation between clinical data of the GEM group and PLR, SII, and MPVLR.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variables</th>
<th valign="middle" align="center">High-MPVLR group (n = 70)</th>
<th valign="middle" align="center">Low-MPVLR group (n = 79)</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">High-PLR group (n = 85)</th>
<th valign="middle" align="center">Low-PLR group (n = 64)</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">High-SII group (n = 11)</th>
<th valign="middle" align="center">Low-SII group (n = 138)</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="center">n(%)</th>
<th valign="middle" align="center">n(%)</th>
<th valign="middle" align="center">t/X&#xb2;</th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center">n(%)</th>
<th valign="middle" align="center">n(%)</th>
<th valign="middle" align="center">t/X&#xb2;</th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center">n(%)</th>
<th valign="middle" align="center">n(%)</th>
<th valign="middle" align="center">t/X&#xb2;</th>
<th valign="middle" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<bold>Gender</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.009</td>
<td valign="middle" align="center">0.926</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.259</td>
<td valign="middle" align="center">0.611</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2.950</td>
<td valign="middle" align="center">0.086</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="middle" align="center">58 (82.6)</td>
<td valign="middle" align="center">65 (82.3)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">69 (81.2)</td>
<td valign="middle" align="center">54 (84.4)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">7 (63.6)</td>
<td valign="middle" align="center">116 (84.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="middle" align="center">12 (17.4)</td>
<td valign="middle" align="center">14 (17.7)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">16 (18.8)</td>
<td valign="middle" align="center">10 (15.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4 (36.4)</td>
<td valign="middle" align="center">22 (15.9)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Preoperative age</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.842</td>
<td valign="middle" align="center">0.656</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2.470</td>
<td valign="middle" align="center">0.291</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.278</td>
<td valign="middle" align="center">0.870</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264;60yr.</td>
<td valign="middle" align="center">30 (42.8)</td>
<td valign="middle" align="center">39 (49.4)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">36 (42.4)</td>
<td valign="middle" align="center">33 (51.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">5 (45.4)</td>
<td valign="middle" align="center">64 (46.4)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;60-70yr.</td>
<td valign="middle" align="center">23 (32.9)</td>
<td valign="middle" align="center">25 (31.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">27 (31.8)</td>
<td valign="middle" align="center">21 (32.8)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">3 (27.3)</td>
<td valign="middle" align="center">45 (32.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;70yr.</td>
<td valign="middle" align="center">17 (24.3)</td>
<td valign="middle" align="center">15 (20.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">22 (25.8)</td>
<td valign="middle" align="center">10 (15.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">3 (27.3)</td>
<td valign="middle" align="center">29 (21.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Tumour size</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.441</td>
<td valign="middle" align="center">0.507</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.108</td>
<td valign="middle" align="center">0.292</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.454</td>
<td valign="middle" align="center">0.500</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264;3cm</td>
<td valign="middle" align="center">53 (75.7)</td>
<td valign="middle" align="center">56 (70.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">65 (76.5)</td>
<td valign="middle" align="center">44 (68.8)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">9 (81.8)</td>
<td valign="middle" align="center">100 (72.5)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt;3cm</td>
<td valign="middle" align="center">17 (24.3)</td>
<td valign="middle" align="center">23 (29.9)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">20 (23.5)</td>
<td valign="middle" align="center">20 (31.2)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2 (18.2)</td>
<td valign="middle" align="center">38 (27.5)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Amount of tumours</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.057</td>
<td valign="middle" align="center">0.812</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.313</td>
<td valign="middle" align="center">0.576</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.077</td>
<td valign="middle" align="center">0.299</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;n &#x2264; 3</td>
<td valign="middle" align="center">63 (90.0)</td>
<td valign="middle" align="center">72 (91.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">78 (91.8)</td>
<td valign="middle" align="center">57 (89.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">9 (81.8)</td>
<td valign="middle" align="center">126 (91.3)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;n&gt;3</td>
<td valign="middle" align="center">7 (10.0)</td>
<td valign="middle" align="center">7 (8.9)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">7 (8.2)</td>
<td valign="middle" align="center">7 (10.9)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2 (18.2)</td>
<td valign="middle" align="center">12 (8.7)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Grade</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.156</td>
<td valign="middle" align="center">0.282</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.664</td>
<td valign="middle" align="center">0.415</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.002</td>
<td valign="middle" align="center">0.969</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low</td>
<td valign="middle" align="center">41 (58.6)</td>
<td valign="middle" align="center">53 (67.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">56 (65.9)</td>
<td valign="middle" align="center">38 (59.4)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">7 (63.6)</td>
<td valign="middle" align="center">87 (63.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High</td>
<td valign="middle" align="center">29 (41.4)</td>
<td valign="middle" align="center">26 (32.9)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">29 (34.1)</td>
<td valign="middle" align="center">26 (40.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4 (36.4)</td>
<td valign="middle" align="center">51 (37.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>T stage</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.201</td>
<td valign="middle" align="center">0.654</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.211</td>
<td valign="middle" align="center">0.646</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.901</td>
<td valign="middle" align="center">0.343</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Ta</td>
<td valign="middle" align="center">57 (81.4)</td>
<td valign="middle" align="center">62 (78.5)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">69 (81.2)</td>
<td valign="middle" align="center">50 (78.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">10 (90.1)</td>
<td valign="middle" align="center">109 (79.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;T1</td>
<td valign="middle" align="center">13 (18.6)</td>
<td valign="middle" align="center">17 (21.5)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">16 (18.8)</td>
<td valign="middle" align="center">14 (21.9)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1 (9.9)</td>
<td valign="middle" align="center">29 (21.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>GEM, gemcitabine;PLR, the ratio of platelets to lymphocytes; SII, systemic immune inflammation index; MPVLR, the ratio of mean platelet volume to lymphocytes.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Correlation between clinical data of the CHT group and PLR, SII, and MPVLR.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variables</th>
<th valign="middle" align="center">High-MPVLR group (n = 16)</th>
<th valign="middle" align="center">Low-MPVLR group (n = 57)</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">High-PLR group (n = 8)</th>
<th valign="middle" align="center">Low-PLR group (n = 65)</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
<th valign="middle" align="center">High-SII group (n = 27)</th>
<th valign="middle" align="center">Low-SII group (n = 46)</th>
<th valign="middle" align="center"/>
<th valign="middle" align="center"/>
</tr>
<tr>
<th valign="middle" align="center">n(%)</th>
<th valign="middle" align="center">n(%)</th>
<th valign="middle" align="center">t/X&#xb2;</th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center">n(%)</th>
<th valign="middle" align="center">n(%)</th>
<th valign="middle" align="center">t/X&#xb2;</th>
<th valign="middle" align="center">P</th>
<th valign="middle" align="center">n(%)</th>
<th valign="middle" align="center">n(%)</th>
<th valign="middle" align="center">t/X&#xb2;</th>
<th valign="middle" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">
<bold>Gender</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.114</td>
<td valign="middle" align="center">0.736</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.275</td>
<td valign="middle" align="center">0.259</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.489</td>
<td valign="middle" align="center">0.222</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="middle" align="center">12 (75.0)</td>
<td valign="middle" align="center">45 (78.9)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">5 (62.5)</td>
<td valign="middle" align="center">52 (80.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">19 (70.4)</td>
<td valign="middle" align="center">38 (82.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="middle" align="center">4 (25.0)</td>
<td valign="middle" align="center">7 (21.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">3 (37.5)</td>
<td valign="middle" align="center">13 (20.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">8 (29.6)</td>
<td valign="middle" align="center">8 (17.4)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Preoperative age</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.868</td>
<td valign="middle" align="center">0.648</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.999</td>
<td valign="middle" align="center">0.607</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2.333</td>
<td valign="middle" align="center">0.311</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264;60yr.</td>
<td valign="middle" align="center">6 (37.5)</td>
<td valign="middle" align="center">31 (54.4)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">3 (37.5)</td>
<td valign="middle" align="center">34 (52.3)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">14 (51.9)</td>
<td valign="middle" align="center">23 (50.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;60-70yr.</td>
<td valign="middle" align="center">6 (37.5)</td>
<td valign="middle" align="center">19 (33.3)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4 (50.0)</td>
<td valign="middle" align="center">21 (32.3)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">7 (10.9)</td>
<td valign="middle" align="center">18 (39.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;70yr.</td>
<td valign="middle" align="center">4 (25.0)</td>
<td valign="middle" align="center">7 (12.3)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1 (12.5)</td>
<td valign="middle" align="center">10 (15.4)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">6 (22.2)</td>
<td valign="middle" align="center">5 (10.9)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Tumour size</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.217</td>
<td valign="middle" align="center">0.641</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">5.775</td>
<td valign="middle" align="center">0.016</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2.715</td>
<td valign="middle" align="center">0.099</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264;3cm</td>
<td valign="middle" align="center">13 (81.3)</td>
<td valign="middle" align="center">49 (86.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4 (50.0)</td>
<td valign="middle" align="center">58 (89.2)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">20 (74.1)</td>
<td valign="middle" align="center">42 (91.3)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt;3cm</td>
<td valign="middle" align="center">3 (18.7)</td>
<td valign="middle" align="center">8 (14.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">4 (50.0)</td>
<td valign="middle" align="center">7 (10.8)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">7 (25.9)</td>
<td valign="middle" align="center">4 (8.7)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Amount of tumours</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">1.984</td>
<td valign="middle" align="center">0.159</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2.461</td>
<td valign="middle" align="center">0.117</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2.476</td>
<td valign="middle" align="center">0.116</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;n &#x2264; 3</td>
<td valign="middle" align="center">13 (81.3)</td>
<td valign="middle" align="center">53 (93.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">6 (75.0)</td>
<td valign="middle" align="center">60 (92.3)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">22 (81.5)</td>
<td valign="middle" align="center">44 (95.7)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;n&gt;3</td>
<td valign="middle" align="center">3 (18.7)</td>
<td valign="middle" align="center">4 (7.0)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2 (25.0)</td>
<td valign="middle" align="center">5 (7.7)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">5 (18.5)</td>
<td valign="middle" align="center">2 (4.3)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>Grade</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.198</td>
<td valign="middle" align="center">0.656</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.253</td>
<td valign="middle" align="center">0.615</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2.598</td>
<td valign="middle" align="center">0.107</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low</td>
<td valign="middle" align="center">10 (62.5)</td>
<td valign="middle" align="center">39 (68.4)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">6 (75.0)</td>
<td valign="middle" align="center">43 (66.2)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">15 (55.6)</td>
<td valign="middle" align="center">34 (73.9)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High</td>
<td valign="middle" align="center">6 (37.5)</td>
<td valign="middle" align="center">18 (31.6)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2 (25.0)</td>
<td valign="middle" align="center">22 (33.8)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">12 (44.4)</td>
<td valign="middle" align="center">12 (26.1)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">
<bold>T stage</bold>
</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.231</td>
<td valign="middle" align="center">0.630</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">2.901</td>
<td valign="middle" align="center">0.088</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">0.135</td>
<td valign="middle" align="center">0.713</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Ta</td>
<td valign="middle" align="center">14 (87.5)</td>
<td valign="middle" align="center">47 (82.5)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">5 (62.5)</td>
<td valign="middle" align="center">56 (86.2)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">22 (81.5)</td>
<td valign="middle" align="center">39 (84.8)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;T1</td>
<td valign="middle" align="center">2 (12.5)</td>
<td valign="middle" align="center">10 (17.5)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">3 (37.5)</td>
<td valign="middle" align="center">9 (13.8)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
<td valign="middle" align="center">5 (18.5)</td>
<td valign="middle" align="center">7 (15.2)</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CHT, Chemohyperthermia; PLR, the ratio of platelets to lymphocytes; SII, systemic immune inflammation index; MPVLR, the ratio of mean platelet volume to lymphocytes.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>3.4 Survival analyses of the GEM group and the CHT group</title>
<p>We used the Kaplan-Meier method to form the survival curves while the log-rank test was used to compare the RFS among the different PLR, MPVLR, and SII groups. In the GEM group (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2B-D</bold>
</xref>), The RFS of the high PLR group and the low PLR group were 51.8% and 34.4%. The difference between these two groups was significant(p=0.005). The RFS of the high MPVLR group and the low MPVLR group were 57.1% and 32.9%, which showed a significant difference between them (p&lt;0.001). The RFS of the high SII group and the low SII group were 72.8% and 42.0%. There was also a significant difference between them (p=0.035). In the CHT group (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3B-D</bold>
</xref>), with significant differences, the RFS of the high PLR group and the low PLR group were 62.5% and 21.5% (p=0.025), the RFS of the high SII group and the low SII group were 44.4% and 15.2%(p=0.008). However, the RFS of the high MPVLR group and the low MPVLR group were 32.4% and 19.4%, with no significant difference (p=0.250).</p>
<p>The univariate and multivariate analyses were going with the Cox proportional hazard risk regression model. <xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref> shows that in the GEM group, the univariate analysis indicated that males (HR=1.822, p=0.032), 60-70yr. (HR=1.911, p=0.024), high tumor pathological grade (HR=2.237, p&lt;0.001), high MPVLR (HR=2.280, p&lt;0.001), high PLR (HR=2.010, p=0.008) and high SII (HR=2.160, p=0.041) were statistically significant covariates of tumor recurrence. The significant indexes of univariate analysis have been analyzed with the aid of multivariate analysis and the consequences confirmed that high tumor pathological grade (HR=0.403, p&lt;0.001), high MPVLR (HR=2.042, p=0.007) and high PLR (HR=2.119, p=0.008) were considerable variables of tumor recurrence in the NMIBC patients treated with intravesical GEM. <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref> reveals that in the CHT group, the univariate analysis indicated tumor size&gt;3cm (HR=3.343, p=0.015), amount of tumors&gt;3(HR=3.202, p=0.039), T1 stage (HR=3.599. p=0.007), high PLR (HR=2.984, p=0.036) and high SII (HR=3.232, p=0.014) were statistically significant covariates of tumor recurrence. The multivariate analysis showed that tumor size&gt;3cm (HR=0.307, p=0.039) and T1 stage (HR=0.247. p=0.011) were considerable variables of tumor recurrence in the NMIBC patients treated with intravesical CHT.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Univariate and multivariate analysis with a Cox proportional hazard model of risk factors on RFS of the patients treated with intravesical GEM.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variables</th>
<th valign="middle" colspan="3" align="center">Univariate analysis</th>
<th valign="middle" colspan="3" align="center">Multivariate analysis</th>
</tr>
<tr>
<th valign="middle" align="center">HR</th>
<th valign="middle" align="center">95% CI</th>
<th valign="middle" align="center">P-value</th>
<th valign="middle" align="center">HR</th>
<th valign="middle" align="center">95% CI</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="7" align="left">Gender</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="center">1.822</td>
<td valign="middle" align="center">1.053-3.151</td>
<td valign="middle" align="center">0.032</td>
<td valign="middle" align="center">0.591</td>
<td valign="middle" align="center">0.324-1.077</td>
<td valign="middle" align="center">0.086</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Preoperative age(&#x2264;60yr.)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;60-70yr.</td>
<td valign="middle" align="center">1.911</td>
<td valign="middle" align="center">1.089-3.352</td>
<td valign="middle" align="center">0.024</td>
<td valign="middle" align="center">0.633</td>
<td valign="middle" align="center">0.381-1.053</td>
<td valign="middle" align="center">0.078</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;70yr.</td>
<td valign="middle" align="center">0.646</td>
<td valign="middle" align="center">0.244-1.707</td>
<td valign="middle" align="center">0.378</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Tumour size(&#x2264;3cm)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;3cm</td>
<td valign="middle" align="center">1.587</td>
<td valign="middle" align="center">0.961-2.619</td>
<td valign="middle" align="center">0.071</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Amount of tumours(n &#x2264; 3)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;n&gt;3</td>
<td valign="middle" align="center">1.670</td>
<td valign="middle" align="center">0.828-3.369</td>
<td valign="middle" align="center">0.152</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Grade(Low)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;High</td>
<td valign="middle" align="center">2.237</td>
<td valign="middle" align="center">1.390-3.601</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">0.403</td>
<td valign="middle" align="center">0.241-0.673</td>
<td valign="middle" align="center">&lt;0.001</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">T stage(Ta)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T1</td>
<td valign="middle" align="center">1.159</td>
<td valign="middle" align="center">0.653-2.058</td>
<td valign="middle" align="center">0.613</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">MVPLR(Low)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;High</td>
<td valign="middle" align="center">2.280</td>
<td valign="middle" align="center">1.388-3.745</td>
<td valign="middle" align="center">&lt;0.001</td>
<td valign="middle" align="center">2.042</td>
<td valign="middle" align="center">1.211-3.443</td>
<td valign="middle" align="center">0.007</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">PLR(Low)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;High</td>
<td valign="middle" align="center">2.010</td>
<td valign="middle" align="center">1.202-3.359</td>
<td valign="middle" align="center">0.008</td>
<td valign="middle" align="center">2.119</td>
<td valign="middle" align="center">1.216-3.695</td>
<td valign="middle" align="center">0.008</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">SII(Low)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;High</td>
<td valign="middle" align="center">2.160</td>
<td valign="middle" align="center">1.030-4.529</td>
<td valign="middle" align="center">0.041</td>
<td valign="middle" align="center">0.915</td>
<td valign="middle" align="center">0.395-2.116</td>
<td valign="middle" align="center">0.835</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>GEM, gemcitabine; CI, confidential interval; HR, hazard ratio; PLR, the ratio of platelets to lymphocytes; SII, systemic immune inflammation index; MPVLR, the ratio of mean platelet volume to lymphocytes.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Univariate and multivariate analysis with a Cox proportional hazard model of risk factors on RFS of the patients treated with intravesical CHT.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Variables</th>
<th valign="middle" colspan="3" align="center">Univariate analysis</th>
<th valign="middle" colspan="3" align="center">Multivariate analysis</th>
</tr>
<tr>
<th valign="middle" align="center">HR</th>
<th valign="middle" align="center">95% CI</th>
<th valign="middle" align="center">P-value</th>
<th valign="middle" align="center">HR</th>
<th valign="middle" align="center">95% CI</th>
<th valign="middle" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="7" align="left">Gender</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female</td>
<td valign="middle" align="center">1.732</td>
<td valign="middle" align="center">0.658-4.559</td>
<td valign="middle" align="center">0.266</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Preoperative age(&#x2264;60yr.)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;60-70yr.</td>
<td valign="middle" align="center">1.556</td>
<td valign="middle" align="center">0.584-4.146</td>
<td valign="middle" align="center">0.377</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&#x2265;70yr.</td>
<td valign="middle" align="center">1.181</td>
<td valign="middle" align="center">0.608-2.293</td>
<td valign="middle" align="center">0.624</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Tumour size(&#x2264;3cm)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;&gt;3cm</td>
<td valign="middle" align="center">3.343</td>
<td valign="middle" align="center">1.266-8.827</td>
<td valign="middle" align="center">0.015</td>
<td valign="middle" align="center">0.307</td>
<td valign="middle" align="center">0.100-0.942</td>
<td valign="middle" align="center">0.039</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Amount of tumours(n &#x2264; 3)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;n&gt;3</td>
<td valign="middle" align="center">3.202</td>
<td valign="middle" align="center">1.059-9.677</td>
<td valign="middle" align="center">0.039</td>
<td valign="middle" align="center">0.758</td>
<td valign="middle" align="center">0.225-2.549</td>
<td valign="middle" align="center">0.654</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">Grade(Low)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;High</td>
<td valign="middle" align="center">1.672</td>
<td valign="middle" align="center">0.671-4.162</td>
<td valign="middle" align="center">0.269</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">T stage(Ta)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;T1</td>
<td valign="middle" align="center">3.599</td>
<td valign="middle" align="center">1.413-9.163</td>
<td valign="middle" align="center">0.007</td>
<td valign="middle" align="center">0.247</td>
<td valign="middle" align="center">0.084-0.725</td>
<td valign="middle" align="center">0.011</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">MVPLR(Low)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;High</td>
<td valign="middle" align="center">0.612</td>
<td valign="middle" align="center">0.178-2.102</td>
<td valign="middle" align="center">0.436</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
<td valign="middle" align="center">&#x2014;</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">PLR(Low)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;High</td>
<td valign="middle" align="center">2.984</td>
<td valign="middle" align="center">1.074-8.293</td>
<td valign="middle" align="center">0.036</td>
<td valign="middle" align="center">1.253</td>
<td valign="middle" align="center">0.364-4.312</td>
<td valign="middle" align="center">0.721</td>
</tr>
<tr>
<th valign="middle" colspan="7" align="left">SII(Low)</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;High</td>
<td valign="middle" align="center">3.232</td>
<td valign="middle" align="center">1.271-8.214</td>
<td valign="middle" align="center">0.014</td>
<td valign="middle" align="center">0.398</td>
<td valign="middle" align="center">0.137-1.161</td>
<td valign="middle" align="center">0.092</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CHT, Chemohyperthermia; CI, confidential interval; HR, hazard ratio; PLR, the ratio of platelets to lymphocytes; SII, systemic immune inflammation index; MPVLR, the ratio of mean platelet volume to lymphocytes.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>4 Discussion</title>
<p>There have been nearly 20 years of research on intravesical CHT. Most of the studies have shown that the efficacy of intravesical CHT for NMIBC is better than traditional intravesical chemotherapy. In the research of Arends et&#xa0;al., 190 NMIBC patients were randomized in that controlled, open-label, multicentre trial for 1-yr CHT and 1-yr BCG immunotherapy. They found that the 24-mo RFS in the PP analysis was 81.8% in the CHT group compared with 64.8% in the BCG group (p=0.02) and turned out that CHT is a safe and effective treatment option in patients with intermediate- and high-risk papillary NMIBC (<xref ref-type="bibr" rid="B6">6</xref>). Our retrospective cohort study figured out a similar result that CHT can reduce the recurrence rate of NMIBC and also prevent tumor progression.</p>
<p>The complex connection between tumor cells and the body&#x2019;s immune system influences tumor initiation and progression (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Neutrophilia can induce DNA damage by secreting reactive oxygen species, stimulating cancer cell proliferation, and promoting new blood vessels around cancer tissues (<xref ref-type="bibr" rid="B9">9</xref>). Studies have shown that neutrophils migrate to peritumoral tissues to participate in the induction of hypoxia and the release of vascular endothelial growth factor (VEGF) to promote tumor growth (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). The progression of hypoxic necrosis within the tumor also further induces an innate immune response, resulting in an overall rise in neutrophil counts (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). The increasing evidence suggests that the causal relationship between local immune responses and systemic inflammation in many malignancies is not an accident (<xref ref-type="bibr" rid="B14">14</xref>). Lymphocytes are considered as a basal anti-tumor defense line (<xref ref-type="bibr" rid="B15">15</xref>). Sharma et&#xa0;al. revealed that a greater number of CD8 + infiltrating lymphocytes improves the prognosis of patients with MIBC (<xref ref-type="bibr" rid="B16">16</xref>). Furthermore, advanced bladder cancer is associated with unstable host defense and a decreased number of lymphocytes (<xref ref-type="bibr" rid="B17">17</xref>). Cancer microenvironment cells stimulate monocytes and neutrophils to secrete, inter alia, interleukin 6 (IL-6), VEGF, and transforming growth factor &#x3b2; (TGF-&#x3b2;), causing general immunosuppression by inducing apoptosis of lymphocytes and a decrease in lymphopoiesis (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>).</p>
<p>In addition, circulating tumor cells (CTCs) are shielded from natural killer cell cytolysis by platelets, which enclose the tumor cells in a thrombus (<xref ref-type="bibr" rid="B22">22</xref>). tumor cells stimulate platelets through specific mechanisms to promote a persistent adhesion between them and tumor cells, which increased platelet numbers, led to hypercoagulation, and raised thrombosis risks in cancer patients. Some of the chemicals that platelets emit have the ability to increase the proliferation and development of tumor cells (<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Moreover, Platelets with elevated MPV have strong reactivity and aggregation ability, so MPV is also considered a surrogate marker of platelet activation. Activated platelets can recruit neutrophils and monocytes and release Chemokines like p-selectin, VEGF, and IL-8, which play a role in promoting hemostasis, vascular remodeling, and inflammation (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Therefore, we believed that MPV should be related to tumor occurrence, progression, and other tumor behaviors.</p>
<p>The suggested NLR reflects the dynamic balance of the host&#x2019;s inflammatory response and anti-tumor effect and is based on the neutrophil count and lymphocyte count. The probability of locally progressed disease, future disease recurrence, cancer-specific, and all-cause mortality is dramatically enhanced in patients having RC when their preoperative NLR is elevated (<xref ref-type="bibr" rid="B27">27</xref>). NLR&#x2267;2.41 may be employed as a standalone predictor of postoperative cancer recurrence in patients with NMIBC, according to Mano et&#xa0;al. (<xref ref-type="bibr" rid="B28">28</xref>). Considering that there have been many reports of NLR correlation with NMIBC, we chose other 3 indices that few studies have evaluated a particular outcome in patients with NMIBC: PLR, SII, and MPVLR.</p>
<p>PLR is the ratio of platelets to lymphocytes. Jiwei Huang et&#xa0;al. found that the Preoperative PLR value can be used as a negative independent prognostic factor for survival outcomes in patients with localized upper tract urothelial carcinoma (<xref ref-type="bibr" rid="B29">29</xref>). However, no study has investigated the prognostic role of PLR for patients with NMIBC. By using the ROC curve and the approximately identical index, our study found the best cut-off value for PLR: 93.075 in the GEM group and 183.863 in the CHT group. In both the GEM group and the CHT group, the RFS rate of the high PRL group was substantially lower than that of the low PLR group (p&lt;0.05). High PLR appeared to be an independent risk factor for postoperative recurrence in the GEM group and was associated with postoperative recurrence in both groups, according to Cox single and multivariate analyses. We noticed that the cut-off value of the CHT group was different from that of the GEM group. We considered the reason may be that patients from the two hospitals may differ in a local environment, lifestyle, patient inflammatory state and then caused this bias.</p>
<p>A recently proposed prognostic indicator is the Systemic Immune Inflammation Index (SII), which incorporates neutrophil count, lymphocyte count, and platelet count. Patients with liver cancer, lung cancer, and kidney cancer have been proven to have a bad prognosis when this indication is uncommon (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Based on a study, SII is substantially linked to poorer survival outcomes and unfavorable pathological features in BC patients (<xref ref-type="bibr" rid="B32">32</xref>). Lower SII was also seemed as a vital independent predictor of response to intravesical BCG immunotherapy and revealed a preferable prognosis in NMIBC patients (<xref ref-type="bibr" rid="B33">33</xref>). Similarly, our study showed the result that NMIBC patients with lower SII had a lower risk of tumor recurrence in both the GEM group and the CHT group, although it could not be used as an independent risk factor for tumor recurrence in NMIBC patients treated with intravesical GEM chemotherapy, nor those treated with intravesical CHT. Additionally, compared to the research above, our study&#x2019;s cut-off value for SII was somewhat different. Given the patients&#x2019; health conditions, the varying tumor tolerance levels of various geographic and racial groupings, and the fact that only two facilities were engaged in this retrospective analysis, there may be some discrepancies resulting in a selectivity bias.</p>
<p>MPVLR is the ratio of mean platelet volume (MPV) to lymphocytes. So far MPVLR has been widely studied in cardiovascular disease, and inflammatory response, but few in tumor prognosis. A recent study proved that high MPVLR (&#x2265;3.61) was independently associated with higher long-term overall mortality in nonmetastatic ccRCC patients (<xref ref-type="bibr" rid="B34">34</xref>). Our study was the first to investigate whether MPVLR was associated with the recurrence of patients with NMIBC. Did MPVLR play different predictive roles between conventional intravesical chemotherapy and intravesical CHT? It turned out that high MPVLR (&#x2265;6.377) was independently associated with lower recurrence-free survival in NMIBC patients treated with intravesical GEM chemotherapy. However, in NMIBC patients treated with intravesical CHT, MPVLR had no predictive value for tumor recurrence. We considered the reason for this phenomenon may be that intravesical CHT could stop tumor recurrence by influencing the effect of mean platelet volume on tumor growth through certain mechanisms so that MPVLR could no longer predict the postoperative recurrence in these patients. But more research needs to be done to prove the possibility of these unknown mechanisms.</p>
<p>Furthermore, the results of Cox regression analysis in this study suggested that postoperative recurrence in patients with NMIBC treated with intravesical GEM chemotherapy was related to gender, preoperative age, tumor pathological grade, and tumor pathological grade was an independent risk factor. In the NMIBC patients treated with intravesical CHT, postoperative recurrence was associated with tumor size, amount of tumors, and tumor pathological stage when tumor pathological stage was an independent risk factor. However, we did not use any prognostic scoring model because of the limit of this retrospective study and the lack of other clinical data.</p>
<p>Novel emerging tools such as circulating cell-free DNA (cfDNA), circulating tumor DNA (ctDNA), Whole exome sequencing (WES), and next-generation sequencing (NGS) based strategies represent an attractive platform for diagnosis, longitudinal monitoring, and prognosis prediction to specifically guide the treatment strategy within different settings (<xref ref-type="bibr" rid="B35">35</xref>). However, DNA sequencing tools are time-consuming and expensive. Gene mutation will also bring difficulties to their clinical use. Compared with these tools, although the inflammation, immuno-nutrition-based and other blood-related markers also have limits in clinical use because of the lack of reproducibility and prospective studies, they are easy to get and economical. As long as a scoring system can be built to help reduce bias, these biomarkers will play a key role in evaluating tumor prognosis in the future. Besides the predictive values, our study confirms that intravesical CHT could stop tumor recurrence by influencing the effect of mean platelet volume on tumor growth through certain mechanisms, which needs more research to explore.</p>
<p>This research had several restrictions. Because it was a retrospective cohort analysis, this study was unable to gather and assess data on how PLR, SII, and MPVLR variations affected clinical outcomes throughout a follow-up period. Selection bias was unavoidable as a result of the study&#x2019;s small sample size and dependence on just two centers. Due to the scarcity of data, we were unable to incorporate some possible confounders in our study, including smoking history, concurrent inflammation, medications consumed, and genetic variables. The EORTC scoring model was developed based on patients receiving several different perfusion regimens and was used to predict recurrence and prognosis in NMIBC patients (internally validated c-index for recurrence and progression, 0.66 and 0.75, respectively) (<xref ref-type="bibr" rid="B36">36</xref>). Afterwards, a CUETO score model was developed to predict the prognosis of patients treated with BCG perfusion (the c-index of recurrence and progression were 0.636 and 0.687, respectively) (<xref ref-type="bibr" rid="B37">37</xref>). However, there has no such scoring model to predict the prognosis of NMIBC patients treated with intravesical CHT. Therefore, we need to expand the sample size and conduct prospective studies to form a scoring model for them in the future.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>5 Conclusion</title>
<p>Our study demonstrated that elevated PLR, SII, and MPVLR have a certain predictive effect on the postoperative recurrence of patients with NMIBC who were treated with intravesical GEM chemotherapy, of which PLR and MPVLR were two independent risk factors. While PLR and SII, without MPVLR, were associated with postoperative recurrence of patients with NMIBC who were treated with intravesical CHT, which indicated that intravesical CHT could possibly inhibit tumor recurrence in NMIBC patients by influencing the effect of mean platelet volume on tumor cells. Based on the results of our retrospective cohort study, we recommend exploring this relationship and determining the optimal cut-off values of PLR, SII, and MPVLR for patients with NMIBC treated with conventional intravesical chemotherapy or intravesical CHT using other well-designed datasets.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Medical Ethics Committee of Lanzhou University Second Hospital. Written informed consent for participation was not required for this study in accordance with the national legislation and the institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>CW did the data collection and manuscript writing. WJ and XM did the data collection. ZD did the manuscript correcting and formed the final manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<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>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mattiuzzi</surname> <given-names>C</given-names>
</name>
<name>
<surname>Lippi</surname> <given-names>G</given-names>
</name>
</person-group>. <article-title>Current cancer epidemiology</article-title>. <source>J Epidemiol Glob Health</source> (<year>2019</year>) <volume>9</volume>(<issue>4</issue>):<page-range>217&#x2013;22</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.2991/jegh.k.191008.001</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kausch</surname> <given-names>I</given-names>
</name>
<name>
<surname>Sommerauer</surname> <given-names>M</given-names>
</name>
<name>
<surname>Montorsi</surname> <given-names>F</given-names>
</name>
<name>
<surname>Stenzl</surname> <given-names>A</given-names>
</name>
<name>
<surname>Jacqmin</surname> <given-names>D</given-names>
</name>
<name>
<surname>Jichlinski</surname> <given-names>P</given-names>
</name>
<etal/>
</person-group>. <article-title>Photodynamic diagnosis in non-muscle-invasive bladder cancer: a systematic review and cumulative analysis of prospective studies</article-title>. <source>Eur Urol</source> (<year>2010</year>) <volume>57</volume>(<issue>4</issue>):<fpage>595</fpage>&#x2013;<lpage>606</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.eururo.2009.11.041</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Rajwa</surname> <given-names>P</given-names>
</name>
<name>
<surname>&#x17b;yczkowski</surname> <given-names>M</given-names>
</name>
<name>
<surname>Paradysz</surname> <given-names>A</given-names>
</name>
<name>
<surname>Bujak</surname> <given-names>K</given-names>
</name>
<name>
<surname>Bryniarski</surname> <given-names>P</given-names>
</name>
</person-group>. <article-title>Evaluation of the prognostic value of LMR, PLR, NLR, and dNLR in urothelial bladder cancer patients treated with radical cystectomy</article-title>. <source>Eur Rev Med Pharmacol Sci</source> (<year>2018</year>) <volume>22</volume>(<issue>10</issue>):<page-range>3027&#x2013;37</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.26355/eurrev_201805_15060</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Faraggi</surname> <given-names>D</given-names>
</name>
</person-group>. <article-title>The effect of random measurement error on receiver operating characteristic (ROC) curves</article-title>. <source>Stat Med</source> (<year>2000</year>) <volume>19</volume>(<issue>1</issue>):<fpage>61</fpage>&#x2013;<lpage>70</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/(sici)1097-0258(20000115)19:1&lt;61::aid-sim297&gt;3.0.co;2-a</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mart&#xed;nez-Camblor</surname> <given-names>P</given-names>
</name>
<name>
<surname>Pardo-Fern&#xe1;ndez</surname> <given-names>JC</given-names>
</name>
</person-group>. <article-title>Smooth time-dependent receiver operating characteristic curve estimators</article-title>. <source>Stat Methods Med Res</source> (<year>2018</year>) <volume>27</volume>(<issue>3</issue>):<page-range>651&#x2013;74</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1177/0962280217740786</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Arends</surname> <given-names>TJ</given-names>
</name>
<name>
<surname>Nativ</surname> <given-names>O</given-names>
</name>
<name>
<surname>Maffezzini</surname> <given-names>M</given-names>
</name>
<name>
<surname>de Cobelli</surname> <given-names>O</given-names>
</name>
<name>
<surname>Canepa</surname> <given-names>G</given-names>
</name>
<name>
<surname>Verweij</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Results of a randomised controlled trial comparing intravesical chemohyperthermia with mitomycin c versus bacillus calmette-gu&#xe9;rin for adjuvant treatment of patients with intermediate- and high-risk non-muscle-invasive bladder cancer</article-title>. <source>Eur Urol</source> (<year>2016</year>) <volume>69</volume>(<issue>6</issue>):<page-range>1046&#x2013;52</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.eururo.2016.01.006</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Elinav</surname> <given-names>E</given-names>
</name>
<name>
<surname>Nowarski</surname> <given-names>R</given-names>
</name>
<name>
<surname>Thaiss</surname> <given-names>CA</given-names>
</name>
<name>
<surname>Hu</surname> <given-names>B</given-names>
</name>
<name>
<surname>Jin</surname> <given-names>C</given-names>
</name>
<name>
<surname>Flavell</surname> <given-names>RA</given-names>
</name>
</person-group>. <article-title>Inflammation-induced cancer: crosstalk between tumours, immune cells and microorganisms</article-title>. <source>Nat Rev Cancer</source> (<year>2013</year>) <volume>13</volume>(<issue>11</issue>):<page-range>759&#x2013;71</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nrc3611</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Roxburgh</surname> <given-names>CS</given-names>
</name>
<name>
<surname>McMillan</surname> <given-names>DC</given-names>
</name>
</person-group>. <article-title>Cancer and systemic inflammation: treat the tumour and treat the host</article-title>. <source>Br J Cancer</source> (<year>2014</year>) <volume>110</volume>(<issue>6</issue>):<page-range>1409&#x2013;12</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/bjc.2014.90</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Uribe-Querol</surname> <given-names>E</given-names>
</name>
<name>
<surname>Rosales</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>Neutrophils in cancer: Two sides of the same coin</article-title>. <source>J Immunol Res</source> (<year>2015</year>) <volume>2015</volume>:<elocation-id>983698</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1155/2015/983698</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Chen</surname> <given-names>L</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Chang</surname> <given-names>W</given-names>
</name>
<name>
<surname>Du</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>G</given-names>
</name>
</person-group>. <article-title>Viral and host inflammation-related factors that can predict the prognosis of hepatocellular carcinoma</article-title>. <source>Eur J Cancer</source> (<year>2012</year>) <volume>48</volume>(<issue>13</issue>):<page-range>1977&#x2013;87</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ejca.2012.01.015</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Coussens</surname> <given-names>LM</given-names>
</name>
<name>
<surname>Werb</surname> <given-names>Z</given-names>
</name>
</person-group>. <article-title>Inflammation and cancer</article-title>. <source>Nature</source> (<year>2002</year>) <volume>420</volume>(<issue>6917</issue>):<page-range>860&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nature01322</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ishida</surname> <given-names>K</given-names>
</name>
<name>
<surname>Hsieh</surname> <given-names>MH</given-names>
</name>
</person-group>. <article-title>Understanding urogenital schistosomiasis-related bladder cancer: An update</article-title>. <source>Front Med (Lausanne)</source> (<year>2018</year>) <volume>5</volume>:<elocation-id>223</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fmed.2018.00223</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wallis</surname> <given-names>CJ</given-names>
</name>
<name>
<surname>Mahar</surname> <given-names>AL</given-names>
</name>
<name>
<surname>Choo</surname> <given-names>R</given-names>
</name>
<name>
<surname>Herschorn</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kodama</surname> <given-names>RT</given-names>
</name>
<name>
<surname>Shah</surname> <given-names>PS</given-names>
</name>
<etal/>
</person-group>. <article-title>Second malignancies after radiotherapy for prostate cancer: systematic review and meta-analysis</article-title>. <source>BMJ</source> (<year>2016</year>) <volume>352</volume>:<elocation-id>i851</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/bmj.i851</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Lobo</surname> <given-names>N</given-names>
</name>
<name>
<surname>Shariat</surname> <given-names>SF</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>CC</given-names>
</name>
<name>
<surname>Fernandez</surname> <given-names>MI</given-names>
</name>
<name>
<surname>Kassouf</surname> <given-names>W</given-names>
</name>
<name>
<surname>Choudhury</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>What is the significance of variant histology in urothelial carcinoma</article-title>? <source>Eur Urol Focus.</source> (<year>2020</year>) <volume>6</volume>(<issue>4</issue>):<page-range>653&#x2013;63</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.euf.2019.09.003</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Dunn</surname> <given-names>GP</given-names>
</name>
<name>
<surname>Old</surname> <given-names>LJ</given-names>
</name>
<name>
<surname>Schreiber</surname> <given-names>RD</given-names>
</name>
</person-group>. <article-title>The immunobiology of cancer immunosurveillance and immunoediting</article-title>. <source>Immunity</source> (<year>2004</year>) <volume>21</volume>(<issue>2</issue>):<page-range>137&#x2013;48</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.immuni.2004.07.017</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sharma</surname> <given-names>P</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wen</surname> <given-names>S</given-names>
</name>
<name>
<surname>Yamada</surname> <given-names>S</given-names>
</name>
<name>
<surname>Jungbluth</surname> <given-names>AA</given-names>
</name>
<name>
<surname>Gnjatic</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>CD8 tumor-infiltrating lymphocytes are predictive of survival in muscle-invasive urothelial carcinoma</article-title>. <source>Proc Natl Acad Sci U S A</source> (<year>2007</year>) <volume>104</volume>(<issue>10</issue>):<page-range>3967&#x2013;72</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1073/pnas.0611618104</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Joseph</surname> <given-names>N</given-names>
</name>
<name>
<surname>Dovedi</surname> <given-names>SJ</given-names>
</name>
<name>
<surname>Thompson</surname> <given-names>C</given-names>
</name>
<name>
<surname>Lyons</surname> <given-names>J</given-names>
</name>
<name>
<surname>Kennedy</surname> <given-names>J</given-names>
</name>
<name>
<surname>Elliott</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Pre-treatment lymphocytopaenia is an adverse prognostic biomarker in muscle-invasive and advanced bladder cancer</article-title>. <source>Ann Oncol</source> (<year>2016</year>) <volume>27</volume>(<issue>2</issue>):<page-range>294&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/annonc/mdv546</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kim</surname> <given-names>J</given-names>
</name>
<name>
<surname>Bae</surname> <given-names>JS</given-names>
</name>
</person-group>. <article-title>Tumor-associated macrophages and neutrophils in tumor microenvironment</article-title>. <source>Mediators Inflamm</source> (<year>2016</year>) <volume>2016</volume>:<elocation-id>6058147</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.1155/2016/6058147</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Richards</surname> <given-names>DM</given-names>
</name>
<name>
<surname>Hettinger</surname> <given-names>J</given-names>
</name>
<name>
<surname>Feuerer</surname> <given-names>M</given-names>
</name>
</person-group>. <article-title>Monocytes and macrophages in cancer: development and functions</article-title>. <source>Cancer Microenviron</source> (<year>2013</year>) <volume>6</volume>(<issue>2</issue>):<page-range>179&#x2013;91</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s12307-012-0123-x</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Coffelt</surname> <given-names>SB</given-names>
</name>
<name>
<surname>Wellenstein</surname> <given-names>MD</given-names>
</name>
<name>
<surname>de Visser</surname> <given-names>KE</given-names>
</name>
</person-group>. <article-title>Neutrophils in cancer: neutral no more</article-title>. <source>Nat Rev Cancer</source> (<year>2016</year>) <volume>16</volume>(<issue>7</issue>):<page-range>431&#x2013;46</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1038/nrc.2016.52</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Maeda</surname> <given-names>K</given-names>
</name>
<name>
<surname>Malykhin</surname> <given-names>A</given-names>
</name>
<name>
<surname>Teague-Weber</surname> <given-names>BN</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>XH</given-names>
</name>
<name>
<surname>Farris</surname> <given-names>AD</given-names>
</name>
<name>
<surname>Coggeshall</surname> <given-names>KM</given-names>
</name>
</person-group>. <article-title>Interleukin-6 aborts lymphopoiesis and elevates production of myeloid cells in systemic lupus erythematosus-prone B6.Sle1.Yaa animals</article-title>. <source>Blood</source> (<year>2009</year>) <volume>113</volume>(<issue>19</issue>):<page-range>4534&#x2013;40</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1182/blood-2008-12-192559</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Nieswandt</surname> <given-names>B</given-names>
</name>
<name>
<surname>Hafner</surname> <given-names>M</given-names>
</name>
<name>
<surname>Echtenacher</surname> <given-names>B</given-names>
</name>
<name>
<surname>M&#xe4;nnel</surname> <given-names>DN</given-names>
</name>
</person-group>. <article-title>Lysis of tumor cells by natural killer cells in mice is impeded by platelets</article-title>. <source>Cancer Res</source> (<year>1999</year>) <volume>59</volume>(<issue>6</issue>):<page-range>1295&#x2013;300</page-range>.</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mezouar</surname> <given-names>S</given-names>
</name>
<name>
<surname>Darbousset</surname> <given-names>R</given-names>
</name>
<name>
<surname>Dignat-George</surname> <given-names>F</given-names>
</name>
<name>
<surname>Panicot-Dubois</surname> <given-names>L</given-names>
</name>
<name>
<surname>Dubois</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>Inhibition of platelet activation prevents the p-selectin and integrin-dependent accumulation of cancer cell microparticles and reduces tumor growth and metastasis in vivo</article-title>. <source>Int J Cancer</source> (<year>2015</year>) <volume>136</volume>(<issue>2</issue>):<page-range>462&#x2013;75</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/ijc.28997</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Trikha</surname> <given-names>M</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Timar</surname> <given-names>J</given-names>
</name>
<name>
<surname>Raso</surname> <given-names>E</given-names>
</name>
<name>
<surname>Kennel</surname> <given-names>M</given-names>
</name>
<name>
<surname>Emmell</surname> <given-names>E</given-names>
</name>
<etal/>
</person-group>. <article-title>Multiple roles for platelet GPIIb/IIIa and alphavbeta3 integrins in tumor growth, angiogenesis, and metastasis</article-title>. <source>Cancer Res</source> (<year>2002</year>) <volume>62</volume>(<issue>10</issue>):<page-range>2824&#x2013;33</page-range>.</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Cui</surname> <given-names>MM</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Niu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>T</given-names>
</name>
<etal/>
</person-group>. <article-title>Decreased mean platelet volume predicts poor prognosis in invasive bladder cancer</article-title>. <source>Oncotarget</source> (<year>2017</year>) <volume>8</volume>(<issue>40</issue>):<page-range>68115&#x2013;22</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.18632/oncotarget.19242</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Farah</surname> <given-names>R</given-names>
</name>
<name>
<surname>Samra</surname> <given-names>N</given-names>
</name>
</person-group>. <article-title>Mean platelets volume and neutrophil to lymphocyte ratio as predictors of stroke</article-title>. <source>J Clin Lab Anal</source> (<year>2018</year>) <volume>32</volume>(<issue>1</issue>):<fpage>e22189</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/jcla.22189</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Viers</surname> <given-names>BR</given-names>
</name>
<name>
<surname>Boorjian</surname> <given-names>SA</given-names>
</name>
<name>
<surname>Frank</surname> <given-names>I</given-names>
</name>
<name>
<surname>Tarrell</surname> <given-names>RF</given-names>
</name>
<name>
<surname>Thapa</surname> <given-names>P</given-names>
</name>
<name>
<surname>Karnes</surname> <given-names>RJ</given-names>
</name>
<etal/>
</person-group>. <article-title>Pretreatment neutrophil-to-lymphocyte ratio is associated with advanced pathologic tumor stage and increased cancer-specific mortality among patients with urothelial carcinoma of the bladder undergoing radical cystectomy</article-title>. <source>Eur Urol</source> (<year>2014</year>) <volume>66</volume>(<issue>6</issue>):<page-range>1157&#x2013;64</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.eururo.2014.02.042</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Mano</surname> <given-names>R</given-names>
</name>
<name>
<surname>Baniel</surname> <given-names>J</given-names>
</name>
<name>
<surname>Shoshany</surname> <given-names>O</given-names>
</name>
<name>
<surname>Margel</surname> <given-names>D</given-names>
</name>
<name>
<surname>Bar-On</surname> <given-names>T</given-names>
</name>
<name>
<surname>Nativ</surname> <given-names>O</given-names>
</name>
<etal/>
</person-group>. <article-title>Neutrophil-to-lymphocyte ratio predicts progression and recurrence of non-muscle-invasive bladder cancer</article-title>. <source>Urol Oncol</source> (<year>2015</year>) <volume>33</volume>(<issue>2</issue>):<fpage>67</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.urolonc.2014.06.010</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Yuan</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Kong</surname> <given-names>W</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Prognostic value of preoperative plasma fibrinogen level and platelet-to-lymphocyte ratio (F-PLR) in patients with localized upper tract urothelial carcinoma</article-title>. <source>Oncotarget</source> (<year>2017</year>) <volume>8</volume>(<issue>22</issue>):<page-range>36761&#x2013;71</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.18632/oncotarget.13611</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hu</surname> <given-names>B</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>XR</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>YF</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>C</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>W</given-names>
</name>
<etal/>
</person-group>. <article-title>Systemic immune-inflammation index predicts prognosis of patients after curative resection for hepatocellular carcinoma</article-title>. <source>Clin Cancer Res</source> (<year>2014</year>) <volume>20</volume>(<issue>23</issue>):<page-range>6212&#x2013;22</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1158/1078-0432.CCR-14-0442</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hong</surname> <given-names>X</given-names>
</name>
<name>
<surname>Cui</surname> <given-names>B</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>M</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>Q</given-names>
</name>
</person-group>. <article-title>Systemic immune-inflammation index, based on platelet counts and neutrophil-lymphocyte ratio, is useful for predicting prognosis in small cell lung cancer</article-title>. <source>Tohoku J Exp Med</source> (<year>2015</year>) <volume>236</volume>(<issue>4</issue>):<fpage>297</fpage>&#x2013;<lpage>304</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1620/tjem.236.297</pub-id>
</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Li</surname> <given-names>J</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>D</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Xiong</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Tan</surname> <given-names>D</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>The prognostic and clinicopathological significance of systemic immune-inflammation index in bladder cancer</article-title>. <source>Front Immunol</source> (<year>2022</year>) <volume>13</volume>:<elocation-id>865643</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fimmu.2022.865643</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ke</surname> <given-names>ZB</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>H</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>JY</given-names>
</name>
<name>
<surname>Cai</surname> <given-names>H</given-names>
</name>
<name>
<surname>Lin</surname> <given-names>YZ</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>XL</given-names>
</name>
<etal/>
</person-group>. <article-title>Preoperative abdominal fat distribution and systemic immune inflammation were associated with response to intravesical bacillus calmette-guerin immunotherapy in patients with non-muscle invasive bladder cancer</article-title>. <source>Clin Nutr</source> (<year>2021</year>) <volume>40</volume>(<issue>12</issue>):<page-range>5792&#x2013;801</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.clnu.2021.10.019</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>&#x17b;yczkowski</surname> <given-names>M</given-names>
</name>
<name>
<surname>Kaletka</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Rajwa</surname> <given-names>P</given-names>
</name>
<name>
<surname>Rempega</surname> <given-names>G</given-names>
</name>
<name>
<surname>Stelmach</surname> <given-names>P</given-names>
</name>
<name>
<surname>Bogacki</surname> <given-names>R</given-names>
</name>
<etal/>
</person-group>. <article-title>Mean platelet volume-to-lymphocyte ratio: a novel biomarker associated with overall survival in patients with nonmetastatic clear cell renal cell carcinoma treated with nephrectomy</article-title>. <source>Int Urol Nephrol</source> (<year>2020</year>) <volume>52</volume>(<issue>5</issue>):<page-range>885&#x2013;91</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s11255-020-02379-0</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Claps</surname> <given-names>F</given-names>
</name>
<name>
<surname>Mir</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Zargar</surname> <given-names>H</given-names>
</name>
</person-group>. <article-title>Molecular markers of systemic therapy response in urothelial carcinoma</article-title>. <source>Asian J Urol</source> (<year>2021</year>) <volume>8</volume>(<issue>4</issue>):<page-range>376&#x2013;90</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.ajur.2021.05.001</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Sylvester</surname> <given-names>RJ</given-names>
</name>
<name>
<surname>Brausi</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Kirkels</surname> <given-names>WJ</given-names>
</name>
<name>
<surname>Hoeltl</surname> <given-names>W</given-names>
</name>
<name>
<surname>Calais Da Silva</surname> <given-names>F</given-names>
</name>
<name>
<surname>Powell</surname> <given-names>PH</given-names>
</name>
<etal/>
</person-group>. <article-title>Long-term efficacy results of EORTC genito-urinary group randomized phase 3 study 30911 comparing intravesical instillations of epirubicin, bacillus calmette-gu&#xe9;rin, and bacillus calmette-gu&#xe9;rin plus isoniazid in patients with intermediate- and high-risk stage Ta T1 urothelial carcinoma of the bladder</article-title>. <source>Eur Urol</source> (<year>2010</year>) <volume>57</volume>(<issue>5</issue>):<page-range>766&#x2013;73</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.eururo.2009.12.024</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Fernandez-Gomez</surname> <given-names>J</given-names>
</name>
<name>
<surname>Madero</surname> <given-names>R</given-names>
</name>
<name>
<surname>Solsona</surname> <given-names>E</given-names>
</name>
<name>
<surname>Unda</surname> <given-names>M</given-names>
</name>
<name>
<surname>Martinez-Pi&#xf1;eiro</surname> <given-names>L</given-names>
</name>
<name>
<surname>Gonzalez</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Predicting nonmuscle invasive bladder cancer recurrence and progression in patients treated with bacillus calmette-guerin: the CUETO scoring model</article-title>. <source>J Urol</source> (<year>2009</year>) <volume>182</volume>(<issue>5</issue>):<page-range>2195&#x2013;203</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.juro.2009.07.016</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>