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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.2022.846044</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>Prognostic Impact of Platelet-Large Cell Ratio In Myelodysplastic Syndromes</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Qiuni</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1598447"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Yue</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yijing</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Lijuan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Kankan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>He</surname>
<given-names>Zhengmei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Chunling</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yu</surname>
<given-names>Liang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1145595"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Hematology, The Affiliated Huaian No.1 People&#x2019;s Hospital of Nanjing Medical University</institution>, <addr-line>Huaian</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Key Laboratory of Hematology of Nanjing Medical University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Lorenzo Falchi, Memorial Sloan Kettering Cancer Center, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Ibrahim C. Haznedaroglu, Hacettepe University Hospital, Turkey; Azza Mahmoud Kamel, Cairo University, Egypt; Panagiotis Diamantopoulos, Laiko General Hospital of Athens, Greece</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Chunling Wang, <email xlink:href="mailto:wcl6506@163.com">wcl6506@163.com</email>; Liang Yu, <email xlink:href="mailto:yuliangha@163.com">yuliangha@163.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Hematologic Malignancies, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>04</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>846044</elocation-id>
<history>
<date date-type="received">
<day>30</day>
<month>12</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>08</day>
<month>03</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Chen, Chen, Zhang, Zhang, Chen, He, Wang and Yu</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Chen, Chen, Zhang, Zhang, Chen, He, Wang and Yu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Myelodysplastic syndromes (MDSs) are a very heterogeneous group of myeloid disorders with high prevalence and risk of developing acute myeloid leukemia. The more accurate risk stratification can provide a better guidance of treatment. The platelet&#x2013;large cell ratio (P-LCR) is a parameter reported in complete blood cell count tests, and was associated with many diseases, but its role in MDS is not clear.</p>
</sec>
<sec>
<title>Purpose</title>
<p>This study aims to explore the impact of the P-LCR on the prognosis of patients with MDS, which is of great significance for clinical treatment.</p>
</sec>
<sec>
<title>Methods</title>
<p>In the retrospective study, 122 newly diagnosed MDS patients were enrolled. We used the bioinformatics tool X-tile to define a P-LCR threshold of 36.7% to predict prognosis. Patients were divided into P-LCR<sup>low</sup> and P-LCR<sup>high</sup> groups, and their characteristics were compared between the two groups.</p>
</sec>
<sec>
<title>Results</title>
<p>Results show that the P-LCR<sup>low</sup> was associated with worse overall survival (OS) than the P-LCR<sup>high</sup> patients (median OS, 18.53 months versus 25.77 months, p=0.0057), but there were no statistical differences in progression-free survival (PFS) between the two groups (p=0.2001). The results of univariate and multivariate Cox proportional hazard analyses adjusted for gender, bone marrow blast level, platelet count, and International Prognostic Scoring System scores showed that the P-LCR was useful in the evaluation of PFS [hazard ratio (HR) 0.212, 95%CI 0.064&#x2013;0.702, p=0.011] and OS of MDS (HR 0.464, 95%CI 0.284&#x2013;0.757, p=0.002).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This study is the first report showing that the P-LCR would be a simple and immediately available biomarker for predicting the prognosis of MDS.</p>
</sec>
</abstract>
<kwd-group>
<kwd>myelodysplastic syndromes (MDS)</kwd>
<kwd>platelet&#x2013;large cell ratio (P-LCR)</kwd>
<kwd>survival</kwd>
<kwd>prognosis</kwd>
<kwd>biomarker</kwd>
</kwd-group>
<contract-sponsor id="cn001">Huai&#x2019;an Science and Technology Bureau<named-content content-type="fundref-id">10.13039/501100012209</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Jiangsu Commission of Health<named-content content-type="fundref-id">10.13039/100017962</named-content>
</contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="40"/>
<page-count count="7"/>
<word-count count="3479"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Myelodysplastic syndromes (MDS) are one of the most prevalent hematological malignancies originating from hematopoietic stem/progenitor cells. It is a very heterogeneous group of myeloid disorders characterized by somatic mutations in hematopoietic stem cells, leading to ineffective hematopoiesis, bone marrow dysplasia, and an increased risk of transformation to acute leukemia (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>The prevalence of MDS increases with age. The choice and timing of therapy depend on the risk stratification. The International Prognostic Scoring System (IPSS) (<xref ref-type="bibr" rid="B2">2</xref>) and revised International Prognostic Scoring System (IPSS-R) (<xref ref-type="bibr" rid="B3">3</xref>) are the most commonly used prognostic models. In general, all these scoring systems include the analyses of peripheral cytopenias, percentage of blasts in the bone marrow, and cytogenetic characteristics. Patients with MDS are generally divided into two different broad subgroups according to two scoring systems: lower- and higher-risk groups. Patients with a lower risk group by IPSS are those with low and intermediate-1(INT-1) diseases and very low, low, and some subsets of intermediate risk by the IPSS-R. Patients with a higher-risk disease are those with intermediate-2 (INT-2) and high risk by the IPSS and some subsets of intermediate-, high-, and very high-risk disease by the IPSS-R. Although the IPSS and IPSS-R are very important and serve as part of the main eligibility criteria for past and ongoing registration in clinical trials, many limitations remain.</p>
<p>With the deepening of biomarker research, various types of indicators, including genetics, blood parameters, and even nutritional indexes, had been found to be related to the biological characteristics and even the prognosis of MDS (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). Therefore, the concise indexes may help to more accurately evaluate the prognosis of MDS.</p>
<p>The platelet large&#x2013;cell ratio (P-LCR) is an index representing the percentage of platelets larger than 12 fl in the circulating pool (<xref ref-type="bibr" rid="B7">7</xref>), generated by the automatic blood cell counter, thus probably identifying those platelets that are metabolically and enzymatically more active than small platelets, and it is easily available at an affordable cost. The original description of this parameter is from 1981 (<xref ref-type="bibr" rid="B7">7</xref>). It is determined based on flow cytometry and automated blood cell analysis techniques. The P-LCR was the best tool to assess megakaryocyte activity and a good monitoring tool for platelet activity. Evidence has indicated that the P-LCR contributes to the diagnosis of certain diseases (<xref ref-type="bibr" rid="B8">8</xref>&#x2013;<xref ref-type="bibr" rid="B10">10</xref>). For instance, the P-LCR was proven higher in patients with chronic myeloid leukemia than patients with reactive thrombocytosis, essential thrombocythemia, or polycythemia vera (<xref ref-type="bibr" rid="B11">11</xref>). In clinical practice, abnormal platelet parameters are relatively common in MDS patients at initial diagnosis, but its impact on the prognosis remains unclear.</p>
<p>In this study, we performed a retrospective review to evaluate whether the P-LCR is associated with the prognosis of MDS.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Study Design and Patient Selection</title>
<p>One hundred and sixty-four patients with newly diagnosed MDS between March 2010 and January 2021 were reviewed in the Huai&#x2019;an No.1 People&#x2019;s Hospital. MDS was defined according to the World Health Organization (WHO) 2008 and 2016 classification for MDS. The study population was selected according to the following criteria and followed up to April 2021.The study was approved by the Institutional Review Committee of Huai&#x2019;an No.1 People&#x2019;s Hospital and implemented in conformity with the Declaration of Helsinki. All the patients were anonymous. Informed consent was waived because of the retrospective design of the data collection.</p>
<p>The inclusion criteria are as follows: a) diagnosed with MDS according to the 2008 and 2016 WHO definitions; b) complete blood samples were obtained at diagnosis and before any interventions; and c) detailed clinical data were available.</p>
<p>The exclusion criteria are as follows: a) age &lt; 18 years; b)&#xa0;platelet transfusion before the measurement of the P-LCR; and c) active bleeding symptoms.</p>
</sec>
<sec id="s2_2">
<title>Measurement of Platelet&#x2013;Large Cell Ratio</title>
<p>Whole-blood samples collected into tubes were used for the measurement of the P-LCR. The baseline P-LCR level at diagnosis was defined as the value that was obtained on the nearest day before the diagnosis. The P-LCR was measured using XN-9000 (Sysmex, Kobe, Japan). The reference range for the P-LCR in our institution is 13.0%&#x2013;43.0%. We used the bioinformatics tool X-tile to define a P-LCR threshold of 36.7% to predict prognosis (<xref ref-type="bibr" rid="B12">12</xref>). Subjects were classified as P-LCR low (&lt;36.7%; N = 74) or P-LCR high (&#x2265;36.7%; N = 48) cohorts.</p>
</sec>
<sec id="s2_3">
<title>Statistical Analyses</title>
<p>Data analyses were performed with the Statistical Package (SPSS 26.0 Inc., Chicago, IL, United States) and Graphpad Prism 6 (Graphpad Software, California, United States). The differences of categorical variables between groups were made by using the Mann&#x2013;Whitney U-test or chi-squared test. Kaplan&#x2013;Meier analysis was used to assess the associations of the P-LCR with progression-free survival (PFS) and overall survival (OS). PFS, the primary end point, was defined as the duration from the first treatment to the progression of MDS, death of any cause, or end of clinical follow-up. OS, the secondary end point, was defined as the duration from the first treatment to all-cause death or the end of follow-up. Kaplan&#x2013;Meier survival curves were performed to compare the prognosis between the P-LCR<sup>low</sup> and P-LCR<sup>high</sup> groups by the log rank test. The X-tile software (Version 3.6.1; Yale University, New Haven, CT, United States) was conducted to evaluate the optimal cut-off P-LCR. Univariate and multivariate Cox proportional hazards models were performed to identify significant prognostic predictors. The hazard ratio (HR) and 95% confidence interval (CI) were calculated. The significant variables with p &lt;0.1 defined in univariate survival analyses (by the log rank test) were included for the multivariate analyses to validate the prognostic value of the P-LCR. A p-value less than 0.05 (2-tailed) indicated a statistical significance.</p>
</sec>
</sec>
<sec id="s3">
<title>Results</title>
<sec id="s3_1">
<title>Patient Characteristics</title>
<p>A total of 122 newly diagnosed MDS patients were included in our cohort. The median follow-up time was 48.27 months (range, 21.50&#x2013;59.83 months). A total of 85 patients died. The demographics of patients are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The median age was 64.48 (26&#x2013;88) years, and 84 (68.9%) were men. Subjects were classified as P-LCR<sup>low</sup> (&lt;36.7%; N = 74) or P-LCR<sup>high</sup> (&#x2265;36.7%; N = 48) cohorts. The distribution of characteristics such as age, gender, WHO subtype, Hb level, bone marrow blast%, WBC count, ANC count, PLT count, IPSS subgroups, and treatment were not different between the two groups. Patients with IPSS low-risk disease presented with a lower P-LCR compared to INT-1 (p=0.011), INT-2 (p=0.004), and high risk (p=0.021) patients (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of 122 subjects with MDS.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Characteristics</th>
<th valign="top" align="center">Total (n=122)</th>
<th valign="top" align="center">P-LCR<sup>low</sup> (n=74)</th>
<th valign="top" align="center">P-LCR<sup>high</sup> (n=48)</th>
<th valign="top" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age, years, median (IR)</td>
<td valign="top" align="center">65 (59-72)</td>
<td valign="top" align="center">66 (60-73)</td>
<td valign="top" align="center">65 (55.25-71)</td>
<td valign="top" align="center">0.422</td>
</tr>
<tr>
<td valign="top" align="left">Men (%)</td>
<td valign="top" align="center">84 (68.9)</td>
<td valign="top" align="center">51 (68.9)</td>
<td valign="top" align="center">33 (68.8)</td>
<td valign="top" align="center">0.984</td>
</tr>
<tr>
<td valign="top" align="left">WHO subtype (%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.220</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MDS-SLD</td>
<td valign="top" align="center">3 (2.4%)</td>
<td valign="top" align="center">1 (1.3)</td>
<td valign="top" align="center">2 (4.1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MDS-RS-SLD</td>
<td valign="top" align="center">11 (9%)</td>
<td valign="top" align="center">7 (9.4)</td>
<td valign="top" align="center">4 (8.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MDS-MLD</td>
<td valign="top" align="center">19 (15.5)</td>
<td valign="top" align="center">8 (10.8)</td>
<td valign="top" align="center">11 (22.9)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MDS-RS-MLD</td>
<td valign="top" align="center">5 (5)</td>
<td valign="top" align="center">1 (1.3)</td>
<td valign="top" align="center">4 (8.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MDS-EB1</td>
<td valign="top" align="center">26 (21.3)</td>
<td valign="top" align="center">18 (24.3)</td>
<td valign="top" align="center">8 (16.6)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MDS-EB2</td>
<td valign="top" align="center">35 (28.6)</td>
<td valign="top" align="center">23 (31.0)</td>
<td valign="top" align="center">12 (25)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MDS with isolated 5q-</td>
<td valign="top" align="center">2 (1.6)</td>
<td valign="top" align="center">1 (1.3)</td>
<td valign="top" align="center">1 (2.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;MDS-U</td>
<td valign="top" align="center">21 (17.2)</td>
<td valign="top" align="center">15 (20.2)</td>
<td valign="top" align="center">6 (12.5)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Hb, g/L, median (IR)</td>
<td valign="top" align="center">68 (56-83)</td>
<td valign="top" align="center">72 (56-87)</td>
<td valign="top" align="center">67.5 (56.25-77)</td>
<td valign="top" align="center">0.261</td>
</tr>
<tr>
<td valign="top" align="left">Bone marrow blast%, median (IR)</td>
<td valign="top" align="center">4 (0-8)</td>
<td valign="top" align="center">4 (0-6.5)</td>
<td valign="top" align="center">3.75 (0-8)</td>
<td valign="top" align="center">0.803</td>
</tr>
<tr>
<td valign="top" align="left">WBC, &#xd7;10<sup>9</sup>/L, median (IR)</td>
<td valign="top" align="center">2.46 (1.535-3.745)</td>
<td valign="top" align="center">2.17 (1.51-3.73)</td>
<td valign="top" align="center">2.47 (1.6-4.065)</td>
<td valign="top" align="center">0.487</td>
</tr>
<tr>
<td valign="top" align="left">ANC, &#xd7;10<sup>9</sup>/L, median (IR)</td>
<td valign="top" align="center">1.08 (0.57-1.955)</td>
<td valign="top" align="center">1.09 (0.45-1.99)</td>
<td valign="top" align="center">1.06 (0.695-1.74)</td>
<td valign="top" align="center">0.570</td>
</tr>
<tr>
<td valign="top" align="left">PLT, &#xd7;10<sup>9</sup>/L, median (IR)</td>
<td valign="top" align="center">45 (20.75-126.5)</td>
<td valign="top" align="center">38 (19-132)</td>
<td valign="top" align="center">49 (21.5-106.75)</td>
<td valign="top" align="center">0.777</td>
</tr>
<tr>
<td valign="top" align="left">IPSS risk group (%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.102</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low</td>
<td valign="top" align="center">8 (6.6)</td>
<td valign="top" align="center">7 (9.5)</td>
<td valign="top" align="center">1 (2.1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;INT-1</td>
<td valign="top" align="center">70 (50.4)</td>
<td valign="top" align="center">46 (62.2)</td>
<td valign="top" align="center">24 (50.0)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;INT-2</td>
<td valign="top" align="center">31 (25.4)</td>
<td valign="top" align="center">15 (20.3)</td>
<td valign="top" align="center">16 (33.3)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High</td>
<td valign="top" align="center">13 (10.7)</td>
<td valign="top" align="center">6 (8.1)</td>
<td valign="top" align="center">7 (14.6)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Treatment (%)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.291</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Immunosuppressive drugs</td>
<td valign="top" align="center">5 (4.1)</td>
<td valign="top" align="center">4 (5.4)</td>
<td valign="top" align="center">1 (2.1)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">EPO &#xb1; G-CSF and/or RBC transfusions</td>
<td valign="top" align="center">67 (54.9)</td>
<td valign="top" align="center">37 (50.0)</td>
<td valign="top" align="center">30 (62.5)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;HMAs+CAG/HAG</td>
<td valign="top" align="center">21 (17.2)</td>
<td valign="top" align="center">16 (21.6)</td>
<td valign="top" align="center">5 (10.4)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;HMAs</td>
<td valign="top" align="center">27 (22.1)</td>
<td valign="top" align="center">15 (20.3)</td>
<td valign="top" align="center">12 (25)</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Allotransplant</td>
<td valign="top" align="center">2 (1.6)</td>
<td valign="top" align="center">2 (2.7)</td>
<td valign="top" align="center">0 (0)</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>ANC, absolute neutrophil count; CAG/HAG, cytarabine combined with aclacinomycin or homoharringtonine and G-CSF; EPO, erythropoietin; G-CSF, granulocyte-colony-stimulating factor; Hb, hemoglobin; IPSS, International Prognostic Scoring System; IR (InterQuartile Range<bold>);</bold> MDS, myelodysplastic syndrome; MDS-EB1, MDS with excess blasts-1; MDS-EB2, MDS with excess blasts-2; MDS-MLD, MDS with multilineage dysplasia; MDS-SLD, MDS with single lineage dysplasia; MDS-RS-MLD, MDS with ring sideroblasts with multilineage dysplasia; MDS-RS-SLD, MDS with ring sideroblasts with single lineage dysplasia; MDS-U, MDS unclassifiable; PLT, platelet count; RBC, red blood cell; RDW, red blood cell distribution width; WHO, World Health Organization.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>P-LCR level of 122 MDS patients at diagnosis according to the IPSS.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-846044-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Association Between P-LCR Level and Clinical Outcomes</title>
<p>Kaplan&#x2013;Meier survival curves were performed to compare the prognosis between P-LCR<sup>low</sup> and P-LCR<sup>high</sup> groups by the log rank test. The data showed that P-LCR<sup>low</sup> was associated with worse OS compared to P-LCR<sup>high</sup> patients (median OS, 18.53 months versus 25.77 months, p=0.0057, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). A similar tendency was observed in PFS but with no statistical difference (p=0.2001, <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Subgroup analyses were done in lower risk groups (including low risk and INT-1) and higher risk groups (including INT-2 and high risk). Patients with lower risk were expected to have better prognosis. The analyses of relationship between the P-LCR and prognosis in lower risk patients indicated that there was no statistical significance (p=0.0980 and p=0.0587; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>). The association was also explored in higher risk groups. The results show that patients in higher risk groups with low P-LCR have shorter OS compared to those with high P-LCR, respectively (p=0.0171, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). There was no similar observation in PFS analysis (p=0.0771, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Higher P-LCR was associated with better OS <bold>(A)</bold> but not with better PFS <bold>(B)</bold>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-846044-g002.tif"/>
</fig>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Higher P-LCR was not associated with better OS <bold>(A)</bold> and better PFS <bold>(B)</bold> in lower risk MDS groups (lower risk MDS group was defined as IPSS=low risk+INT-1).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-846044-g003.tif"/>
</fig>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Higher P-LCR was associated with better OS <bold>(A)</bold> but not with better PFS <bold>(B)</bold> in higher risk MDS groups (higher risk MDS group was defined as IPSS=INT-2+high risk).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-846044-g004.tif"/>
</fig>
</sec>
<sec id="s3_3">
<title>Univariate Analyses for PFS and OS</title>
<p>Univariate analyses were performed to investigate the prognostic factors affecting disease progression and death (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The baseline P-LCR level (HR 0.578, 95%CI 0.363&#x2013;0.919, p=0.020), bone marrow blast level (HR 1.083, 95%CI 1.042&#x2013;1.126, p&lt;0.001), platelet count (HR 0.997, 95%CI 0.994-0.999, p=0.018), and IPSS scores (HR 1.530, 95%CI 1.160-2.018, p=0.003) were potential risk factors for poor OS. The P-LCR was also prognostic for PFS (HR 0.263, 95%CI 0.087-0.794, p=0.018).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Univariate analyses for PFS and OS in 122 MDS patients in relation to prognostic parameters.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" colspan="3" align="center">PFS</th>
<th valign="top" colspan="3" align="center">OS</th>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">HR</th>
<th valign="top" align="center">95%CI</th>
<th valign="top" align="center">P</th>
<th valign="top" align="center">HR</th>
<th valign="top" align="center">95%CI</th>
<th valign="top" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">P-LCR (&lt;36.7 VS &#x2265;36.7)</td>
<td valign="top" align="center">0.263</td>
<td valign="top" align="center">0.087-0.794</td>
<td valign="top" align="left">0.018</td>
<td valign="top" align="center">0.578</td>
<td valign="top" align="center">0.363-0.919</td>
<td valign="top" align="center">0.020</td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center">0.460</td>
<td valign="top" align="center">0.206-1.030</td>
<td valign="top" align="left">0.059</td>
<td valign="top" align="center">1.046</td>
<td valign="top" align="center">0.662-1.653</td>
<td valign="top" align="center">0.864</td>
</tr>
<tr>
<td valign="top" align="left">Age (year)</td>
<td valign="top" align="center">0.998</td>
<td valign="top" align="center">0.966-1.031</td>
<td valign="top" align="left">0.898</td>
<td valign="top" align="center">1.015</td>
<td valign="top" align="center">0.996-1.033</td>
<td valign="top" align="center">0.116</td>
</tr>
<tr>
<td valign="top" align="left">bone marrow blast (%)</td>
<td valign="top" align="center">1.001</td>
<td valign="top" align="center">0.914-1.096</td>
<td valign="top" align="left">0.986</td>
<td valign="top" align="center">1.083</td>
<td valign="top" align="center">1.042-1.126</td>
<td valign="top" align="center">P&lt;0.001</td>
</tr>
<tr>
<td valign="top" align="left">WBC (&#xd7;10<sup>9</sup>/L)</td>
<td valign="top" align="center">1.063</td>
<td valign="top" align="center">0.900-1.256</td>
<td valign="top" align="left">0.472</td>
<td valign="top" align="center">1.051</td>
<td valign="top" align="center">0.955-1.157</td>
<td valign="top" align="center">0.309</td>
</tr>
<tr>
<td valign="top" align="left">ANC (&#xd7;10<sup>9</sup>/L)</td>
<td valign="top" align="center">1.072</td>
<td valign="top" align="center">0.856-1.342</td>
<td valign="top" align="left">0.547</td>
<td valign="top" align="center">1.023-</td>
<td valign="top" align="center">0.893-1.173-</td>
<td valign="top" align="center">0.742</td>
</tr>
<tr>
<td valign="top" align="left">Hb (g/L)</td>
<td valign="top" align="center">1.014</td>
<td valign="top" align="center">0.997-1.032</td>
<td valign="top" align="left">0.116</td>
<td valign="top" align="center">1.007</td>
<td valign="top" align="center">0.997-1.017</td>
<td valign="top" align="center">0.148</td>
</tr>
<tr>
<td valign="top" align="left">PLT (&#xd7;10<sup>9</sup>/L)</td>
<td valign="top" align="center">0.993</td>
<td valign="top" align="center">0.987-1.000</td>
<td valign="top" align="left">0.057</td>
<td valign="top" align="center">0.997</td>
<td valign="top" align="center">0.994-0.999</td>
<td valign="top" align="center">0.018</td>
</tr>
<tr>
<td valign="top" align="left">IPSS scores</td>
<td valign="top" align="center">1.319</td>
<td valign="top" align="center">0.781-2.228</td>
<td valign="top" align="left">0.300</td>
<td valign="top" align="center">1.530</td>
<td valign="top" align="center">1.160-2.018</td>
<td valign="top" align="center">0.003</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CI, confidence interval; HR, hazard ratio; PLT, platelet count; PFS, progression-free survival; OS, overall survival.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Multivariate Analyses for PFS and OS</title>
<p>All variables with P &lt; 0.1 in univariate analyses were included in multivariate analyses. The P-LCR, gender, bone marrow blast, PLT count and IPSS scores were the prognostic-related risk factors. We performed multivariate Cox regression analyses with the clinical variables based on the risk factors above. The results showed that the P-LCR at diagnosis in patients with MDS is an independent predictor for PFS in the total cohort in multivariate analyses (HR 0.212, 95%CI 0.064-0.701, p=0.011, <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>) after the adjustment with gender, age, blasts, and PLT count. The P-LCR level (HR 0.464, 95%CI 0.284-0.757, p=0.002) was a potential prognostic factor for OS in multivariate analyses are shown in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Multivariate analyses for PFS and OS in 122 MDS patients in relation to prognostic parameters.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center"/>
<th valign="top" align="center">PFS</th>
<th valign="top" align="center"/>
<th valign="top" align="center"/>
<th valign="top" align="center">OS</th>
<th valign="top" align="center"/>
</tr>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="center">HR</th>
<th valign="top" align="center">95%CI</th>
<th valign="top" align="center">P</th>
<th valign="top" align="center">HR</th>
<th valign="top" align="center">95%CI</th>
<th valign="top" align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">P-LCR</td>
<td valign="top" align="center">0.212</td>
<td valign="top" align="center">0.064-0.702</td>
<td valign="top" align="center">0.011</td>
<td valign="top" align="center">0.464</td>
<td valign="top" align="center">0.284-0.757</td>
<td valign="top" align="center">0.002</td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center">0.454</td>
<td valign="top" align="center">0.202-1.020</td>
<td valign="top" align="center">0.056</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="top" align="left">IPSS scores</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.304</td>
<td valign="top" align="left">0.863-1.972</td>
<td valign="top" align="center">0.208</td>
</tr>
<tr>
<td valign="top" align="left">Bone marrow blast (%)</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center">1.049</td>
<td valign="top" align="center">0.992-1.110</td>
<td valign="top" align="center">0.094</td>
</tr>
<tr>
<td valign="top" align="left">PLT (&#xd7;10<sup>9</sup>/L)</td>
<td valign="top" align="center">0.212</td>
<td valign="top" align="center">0.064-0.702</td>
<td valign="top" align="center">0.028</td>
<td valign="top" align="center">0.997</td>
<td valign="top" align="center">0.994-1.000</td>
<td valign="top" align="center">0.043</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="s4">
<title>Discussion</title>
<p>The present study showed that the P-LCR level at diagnosis was associated with the prognosis in patients with MDS. As far as we are aware, this study is the first report showing the P-LCR as an independent prognostic variable in MDS. We found that the patients whose P-LCR level was less than 36.7% at diagnosis experienced shorter overall survival compared to patients with a high P-LCR. There seems to be a similar tendency in the relationship between the P-LCR and PFS. PFS in the P-LCR<sup>low</sup> group seemed to be shorter compared to the P-LCR<sup>high</sup> group, although it was not statistically significant in the presented data. Subgroup analyses indicated that the P-LCR has a higher prognostic value in patients with higher risk.</p>
<p>Univariate and multivariate analyses were also performed to investigate the prognostic factors affecting disease progression and death. Results indicated that the P-LCR is a prognostic parameter in patients with MDS. Although the mechanism of action is still unclear, there is a consensus that the P-LCR is a potential biomarker, which can be quickly and accurately detected in peripheral blood test. Moreover, the baseline platelet count seemingly has a prognostic impact in MDS. While various studies have evaluated the prognostic significance of thrombocytosis in cancers, such as colon cancer, ovarian cancer, and hepatocellular cancer (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>), no significance for platelet count in MDS has been reported. Gender seems to influence the prognosis of MDS patients; the same conclusion was also found in previous studies (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). Some possible explanations for that might include 1) the increased comorbidities upon diagnosis in male patients, which limited preferred choices and the aggressiveness of treatment options (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B19">19</xref>), while large cohort-based studies confirmed that MDS patients with the above comorbidities had significantly greater risk of death than those without comorbidities (<xref ref-type="bibr" rid="B20">20</xref>); 2) male MDS patients might be associated with molecular abnormalities such as faster methylome aging and shorter telomeres (<xref ref-type="bibr" rid="B21">21</xref>), both of which often correlate with shorter survival (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>The present data suggested that the elevated P-LCR level at diagnosis was associated with better prognosis in MDS patients, especially for those with higher risk disease. We speculate that the reasons may be that, firstly, more large platelets are involved in the neoplastic consumed, thereby speeding up the progression of the tumor (<xref ref-type="bibr" rid="B23">23</xref>); secondly, the degree of platelet activation affects various effector factors, such as Vascular Endothelial Growth Factor (VEGF), Epidermal Growth Factor (EGF), transforming growth factor-beta (TGF&#x3b2;), Platelet-derived growth factor (PDGF), and Interleukin-6 (IL-6), that impact vascular maturation in the tumor microenvironment and mediate the invasion of cancer cells (<xref ref-type="bibr" rid="B24">24</xref>), which are associated with survival in MDS. Third, large platelet cells might be associated with greater platelet&#x2013;tumor complex formation; therefore, patients with a high P-LCR could gain more benefit from antiplatelet drugs than could patients with low P-LCR levels (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>Platelets play a critical role in the development and progression of different cancers by promoting cancer cell proliferation, survival, angiogenesis, and metastasis (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). There have been several studies revealing that platelet indices are associated with prognosis in patients with various diseases. Thrombocytosis was related to poor prognosis in several cancers, such as ovarian, gastric, lung, breast, hepatocellular, and bladder cancer (<xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B33">33</xref>). Higher platelet distribution width (PDW) was correlated with unfavorable prognosis in ovarian, and breast cancer (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Moreover, the mean platelet volume (MPV) level was evaluated for association with the development of diabetes mellitus (<xref ref-type="bibr" rid="B36">36</xref>) and outcomes of cancer patients (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). However, the impact of the P-LCR in MDS is unclear.</p>
<p>The platelet&#x2013;large cell ratio (P-LCR) is an indicator of circulating larger platelets (&gt;12 fl) and the best tool to assess megakaryocyte activity (<xref ref-type="bibr" rid="B24">24</xref>). A large platelet is somehow a representative marker of immature platelets; thus, the lower P-LCR observed in MDS patients in comparison to the respectively high group suggests increased platelet maturity. These findings are also similar to those of Renate Asare et&#xa0;al. (<xref ref-type="bibr" rid="B39">39</xref>), whose results suggested that there are significantly (p&lt;0.05) lower levels of P-LCR in children with Burkitt lymphoma than the controls. The mechanisms for the phenomenon remain uncertain. Psaila et&#xa0;al. (<xref ref-type="bibr" rid="B40">40</xref>) found that patients with AML/MDS had smaller platelets and lower <italic>in vivo</italic> platelet activation and <italic>ex vivo</italic> platelet reactivity than patients with immune thrombocytopenia. All these studies prompt that the flow cytometric analyses of platelet function and cell parameter analyzers could establish the expression of the platelet indices and reflect the megakaryocyte activity, so as to judge the marrow environment indirectly. The P-LCR has good prognostic evaluation efficiency and could also reflect the changes of the general states of MDS from different aspects. As an easily obtained index, it may help to more accurately evaluate the prognosis of MDS.</p>
</sec>
<sec id="s5">
<title>Conclusions</title>
<p>This is the first documentation on the prognostic value of P-LCR in patients with MDS with long-term follow-up. However, our data are preliminary; further prospective analyses and the mechanism studies are necessary.</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/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Institutional Review Committee of Huai&#x2019;an No.1 People&#x2019;s 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>LY designed the study. QC and YC wrote the manuscript. YZ collected data. LZ and KC were responsible for the tables. ZH was responsible for the figures. CW and LY modified the manuscript.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>This work was funded by Science and Technology Fund of Huaian City [grant # HAB202020] and Commission of Health of Jiangsu Province [grant # 2019082].</p>
</sec>
<sec id="s10" 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="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fonc.2022.846044/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2022.846044/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Saygin</surname> <given-names>C</given-names>
</name>
<name>
<surname>Godley</surname> <given-names>LA</given-names>
</name>
</person-group>. <article-title>Genetics of Myelodysplastic Syndromes</article-title>. <source>Cancers (Basel)</source> (<year>2021</year>) <volume>13</volume>(<issue>14</issue>):<fpage>3380</fpage>. doi: <pub-id pub-id-type="doi">10.3390/cancers13143380</pub-id>
</citation>
</ref>
<ref id="B2">
<label>2</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Greenberg</surname> <given-names>P</given-names>
</name>
<name>
<surname>Cox</surname> <given-names>C</given-names>
</name>
<name>
<surname>LeBeau</surname> <given-names>MM</given-names>
</name>
<name>
<surname>Fenaux</surname> <given-names>P</given-names>
</name>
<name>
<surname>Morel</surname> <given-names>P</given-names>
</name>
<name>
<surname>Sanz</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>International Scoring System for Evaluating Prognosis in Myelodysplastic Syndromes</article-title>. <source>Blood</source> (<year>1997</year>) <volume>89</volume>(<issue>6</issue>):<page-range>2079&#x2013;88</page-range>. doi: <pub-id pub-id-type="doi">10.1182/blood.V89.6.2079</pub-id>
</citation>
</ref>
<ref id="B3">
<label>3</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Greenberg</surname> <given-names>PL</given-names>
</name>
<name>
<surname>Tuechler</surname> <given-names>H</given-names>
</name>
<name>
<surname>Schanz</surname> <given-names>J</given-names>
</name>
<name>
<surname>Sanz</surname> <given-names>G</given-names>
</name>
<name>
<surname>Garcia-Manero</surname> <given-names>G</given-names>
</name>
<name>
<surname>Sol&#xe9;</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>Revised International Prognostic Scoring System for Myelodysplastic Syndromes</article-title>. <source>Blood</source> (<year>2012</year>) <volume>120</volume>(<issue>12</issue>):<page-range>2454&#x2013;65</page-range>. doi: <pub-id pub-id-type="doi">10.1182/blood-2012-03-420489</pub-id>
</citation>
</ref>
<ref id="B4">
<label>4</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ogawa</surname> <given-names>S</given-names>
</name>
</person-group>. <article-title>Genetics of MDS</article-title>. <source>Blood</source> (<year>2019</year>) <volume>133</volume>(<issue>10</issue>):<page-range>1049&#x2013;59</page-range>. doi: <pub-id pub-id-type="doi">10.1182/blood-2018-10-844621</pub-id>
</citation>
</ref>
<ref id="B5">
<label>5</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shi</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Li</surname> <given-names>B</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Qin</surname> <given-names>T</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Prognostic Impact of Red Blood Cell Distribution Width in Myelodysplastic Syndromes</article-title>. <source>Br J Haematol</source> (<year>2019</year>) <volume>186</volume>(<issue>2</issue>):<page-range>352&#x2013;5</page-range>. doi: <pub-id pub-id-type="doi">10.1111/bjh.15830</pub-id>
</citation>
</ref>
<ref id="B6">
<label>6</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Teras</surname> <given-names>LR</given-names>
</name>
<name>
<surname>Patel</surname> <given-names>AV</given-names>
</name>
<name>
<surname>Carter</surname> <given-names>BD</given-names>
</name>
<name>
<surname>Rees-Punia</surname> <given-names>E</given-names>
</name>
<name>
<surname>McCullough</surname> <given-names>ML</given-names>
</name>
<name>
<surname>Gapstur</surname> <given-names>SM</given-names>
</name>
</person-group>. <article-title>Anthropometric Factors and Risk of Myeloid Leukaemias and Myelodysplastic Syndromes: A Prospective Study and Meta-Analysis</article-title>. <source>Br J Haematol</source> (<year>2019</year>) <volume>186</volume>(<issue>2</issue>):<page-range>243&#x2013;54</page-range>. doi: <pub-id pub-id-type="doi">10.1111/bjh.15904</pub-id>
</citation>
</ref>
<ref id="B7">
<label>7</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bessman</surname> <given-names>JD</given-names>
</name>
<name>
<surname>Williams</surname> <given-names>LJ</given-names>
</name>
<name>
<surname>Gilmer</surname> <given-names>PR</given-names>
<suffix>Jr</suffix>
</name>
</person-group>. <article-title>Mean Platelet Volume. The Inverse Relation of Platelet Size and Count in Normal Subjects, and an Artifact of Other Particles</article-title>. <source>Am J Clin Pathol</source> (<year>1981</year>) <volume>76</volume>(<issue>3</issue>):<page-range>289&#x2013;93</page-range>. doi: <pub-id pub-id-type="doi">10.1093/ajcp/76.3.289</pub-id>
</citation>
</ref>
<ref id="B8">
<label>8</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Turk</surname> <given-names>U</given-names>
</name>
<name>
<surname>Tengiz</surname> <given-names>I</given-names>
</name>
<name>
<surname>Ozpelit</surname> <given-names>E</given-names>
</name>
<name>
<surname>Celebiler</surname> <given-names>A</given-names>
</name>
<name>
<surname>Pekel</surname> <given-names>N</given-names>
</name>
<name>
<surname>Ozyurtlu</surname> <given-names>F</given-names>
</name>
<etal/>
</person-group>. <article-title>The Relationship Between Platelet Indices and Clinical Features of Coronary Artery Disease</article-title>. <source>Kardiol Pol</source> (<year>2013</year>) <volume>71</volume>(<issue>11</issue>):<page-range>1129&#x2013;34</page-range>. doi: <pub-id pub-id-type="doi">10.5603/KP.2013.0293</pub-id>
</citation>
</ref>
<ref id="B9">
<label>9</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Yan</surname> <given-names>K</given-names>
</name>
<name>
<surname>Ding</surname> <given-names>B</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>J</given-names>
</name>
<name>
<surname>Dai</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Xiong</surname> <given-names>S</given-names>
</name>
<name>
<surname>Zhai</surname> <given-names>Z</given-names>
</name>
</person-group>. <article-title>Normal Platelet Counts Mask Abnormal Thrombopoiesis in Patients With Chronic Myeloid Leukemia</article-title>. <source>Oncol Lett</source> (<year>2015</year>) <volume>10</volume>(<issue>4</issue>):<page-range>2390&#x2013;4</page-range>. doi: <pub-id pub-id-type="doi">10.3892/ol.2015.3502</pub-id>
</citation>
</ref>
<ref id="B10">
<label>10</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wysoki&#x144;ski</surname> <given-names>A</given-names>
</name>
<name>
<surname>Szczepocka</surname> <given-names>E</given-names>
</name>
</person-group>. <article-title>Platelet Parameters (PLT, MPV, P-LCR) in Patients With Schizophrenia, Unipolar Depression and Bipolar Disorder</article-title>. <source>Psychiatry Res</source> (<year>2016</year>) <volume>237</volume>:<page-range>238&#x2013;45</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.psychres.2016.01.034</pub-id>
</citation>
</ref>
<ref id="B11">
<label>11</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Kabutomori</surname> <given-names>O</given-names>
</name>
<name>
<surname>Kanakura</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Iwatani</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Increase in Platelet-Large Cell Ratio in Chronic Myeloid Leukemia</article-title>. <source>Leuk Res</source> (<year>2001</year>) <volume>25</volume>(<issue>10</issue>):<fpage>873</fpage>. doi: <pub-id pub-id-type="doi">10.1016/S0145-2126(01)00017-0</pub-id>
</citation>
</ref>
<ref id="B12">
<label>12</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Camp</surname> <given-names>RL</given-names>
</name>
<name>
<surname>Dolled-Filhart</surname> <given-names>M</given-names>
</name>
<name>
<surname>Rimm</surname> <given-names>DL</given-names>
</name>
</person-group>. <article-title>X-Tile: A New Bio-Informatics Tool for Biomarker Assessment and Outcome-Based Cut-Point Optimization</article-title>. <source>Clin Cancer Res</source> (<year>2004</year>) <volume>10</volume>(<issue>21</issue>):<page-range>7252&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.1158/1078-0432.CCR-04-0713</pub-id>
</citation>
</ref>
<ref id="B13">
<label>13</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Shen</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Xu</surname> <given-names>H</given-names>
</name>
<name>
<surname>Guan</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Lv</surname> <given-names>M</given-names>
</name>
<name>
<surname>Qian</surname> <given-names>T</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>Y</given-names>
</name>
</person-group>. <article-title>Effect of Rho GTPase Activating Protein 9 Combined With Preoperative Ratio of Platelet Distribution Width to Platelet Count on Prognosis of Patients With Serous Ovarian Cancer</article-title>. <source>Transl Cancer Res</source> (<year>2021</year>) <volume>10</volume>(<issue>10</issue>):<page-range>4440&#x2013;53</page-range>. doi: <pub-id pub-id-type="doi">10.21037/tcr-21-1946</pub-id>
</citation>
</ref>
<ref id="B14">
<label>14</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Papila Kundaktepe</surname> <given-names>B</given-names>
</name>
<name>
<surname>Papila</surname> <given-names>C</given-names>
</name>
</person-group>. <article-title>The Clinical Significance of Preoperative Plasma Fibrinogen Levels and Platelet Counts in Resectable Colon Cancer</article-title>. <source>World J Surg Oncol</source> (<year>2021</year>) <volume>19</volume>(<issue>1</issue>):<fpage>69</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12957-021-02180-y</pub-id>
</citation>
</ref>
<ref id="B15">
<label>15</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pang</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Pan</surname> <given-names>H</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>C</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>L</given-names>
</name>
<etal/>
</person-group>. <article-title>The Significance of Platelet-Albumin-Bilirubin (PALBI) Grade in Hepatocellular Carcinoma Patients Stratified According to Platelet Count</article-title>. <source>Cancer Manag Res</source> (<year>2020</year>) <volume>12</volume>:<page-range>12811&#x2013;22</page-range>. doi: <pub-id pub-id-type="doi">10.2147/CMAR.S277013</pub-id>
</citation>
</ref>
<ref id="B16">
<label>16</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>F</given-names>
</name>
<name>
<surname>Ni</surname> <given-names>J</given-names>
</name>
<name>
<surname>Wu</surname> <given-names>L</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>He</surname> <given-names>B</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>D</given-names>
</name>
</person-group>. <article-title>Gender Disparity in the Survival of Patients With Primary Myelodysplastic Syndrome</article-title>. <source>J Cancer</source> (<year>2019</year>) <volume>10</volume>(<issue>5</issue>):<page-range>1325&#x2013;32</page-range>. doi: <pub-id pub-id-type="doi">10.7150/jca.28220</pub-id>
</citation>
</ref>
<ref id="B17">
<label>17</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>N&#xf6;sslinger</surname> <given-names>T</given-names>
</name>
<name>
<surname>T&#xfc;chler</surname> <given-names>H</given-names>
</name>
<name>
<surname>Germing</surname> <given-names>U</given-names>
</name>
<name>
<surname>Sperr</surname> <given-names>W</given-names>
</name>
<name>
<surname>Krieger</surname> <given-names>O</given-names>
</name>
<name>
<surname>Haase</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Prognostic Impact of Age and Gender in 897 Untreated Patients With Primary Myelodysplastic Syndromes</article-title>. <source>Ann Oncol</source> (<year>2010</year>) <volume>21</volume>(<issue>1</issue>):<page-range>120&#x2013;5</page-range>. doi: <pub-id pub-id-type="doi">10.1093/annonc/mdp264</pub-id>
</citation>
</ref>
<ref id="B18">
<label>18</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Bammer</surname> <given-names>C</given-names>
</name>
<name>
<surname>Sperr</surname> <given-names>WR</given-names>
</name>
<name>
<surname>Kemmler</surname> <given-names>G</given-names>
</name>
<name>
<surname>Wimazal</surname> <given-names>F</given-names>
</name>
<name>
<surname>N&#xf6;sslinger</surname> <given-names>T</given-names>
</name>
<name>
<surname>Sch&#xf6;nmetzler</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Clustering of Comorbidities is Related to Age and Sex and Impacts Clinical Outcome in Myelodysplastic Syndromes</article-title>. <source>J Geriatr Oncol</source> (<year>2014</year>) <volume>5</volume>(<issue>3</issue>):<fpage>299</fpage>&#x2013;<lpage>306</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jgo.2014.02.002</pub-id>
</citation>
</ref>
<ref id="B19">
<label>19</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Zipperer</surname> <given-names>E</given-names>
</name>
<name>
<surname>Tanha</surname> <given-names>N</given-names>
</name>
<name>
<surname>Strupp</surname> <given-names>C</given-names>
</name>
<name>
<surname>K&#xfc;ndgen</surname> <given-names>A</given-names>
</name>
<name>
<surname>Nachtkamp</surname> <given-names>K</given-names>
</name>
<name>
<surname>Neukirchen</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>The Myelodysplastic Syndrome-Comorbidity Index Provides Additional Prognostic Information on Patients Stratified According to the Revised International Prognostic Scoring System</article-title>. <source>Haematologica</source> (<year>2014</year>) <volume>99</volume>(<issue>3</issue>):<page-range>e31&#x2013;2</page-range>. doi: <pub-id pub-id-type="doi">10.3324/haematol.2013.101055</pub-id>
</citation>
</ref>
<ref id="B20">
<label>20</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>R</given-names>
</name>
<name>
<surname>Gross</surname> <given-names>CP</given-names>
</name>
<name>
<surname>Halene</surname> <given-names>S</given-names>
</name>
<name>
<surname>Ma</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>Comorbidities and Survival in a Large Cohort of Patients With Newly Diagnosed Myelodysplastic Syndromes</article-title>. <source>Leuk Res</source> (<year>2009</year>) <volume>33</volume>(<issue>12</issue>):<page-range>1594&#x2013;8</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.leukres.2009.02.005</pub-id>
</citation>
</ref>
<ref id="B21">
<label>21</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hannum</surname> <given-names>G</given-names>
</name>
<name>
<surname>Guinney</surname> <given-names>J</given-names>
</name>
<name>
<surname>Zhao</surname> <given-names>L</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>L</given-names>
</name>
<name>
<surname>Hughes</surname> <given-names>G</given-names>
</name>
<name>
<surname>Sadda</surname> <given-names>G</given-names>
</name>
<etal/>
</person-group>. <article-title>Genome-Wide Methylation Profiles Reveal Quantitative Views of Human Aging Rates</article-title>. <source>Mol Cell</source> (<year>2013</year>) <volume>49</volume>(<issue>2</issue>):<page-range>359&#x2013;67</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.molcel.2012.10.016</pub-id>
</citation>
</ref>
<ref id="B22">
<label>22</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jemielity</surname> <given-names>S</given-names>
</name>
<name>
<surname>Kimura</surname> <given-names>M</given-names>
</name>
<name>
<surname>Parker</surname> <given-names>KM</given-names>
</name>
<name>
<surname>Parker</surname> <given-names>J</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>X</given-names>
</name>
<name>
<surname>Aviv</surname> <given-names>A</given-names>
</name>
<etal/>
</person-group>. <article-title>Short Telomeres in Short-Lived Males: What are the Molecular and Evolutionary Causes</article-title>. <source>Aging Cell</source> (<year>2007</year>) <volume>6</volume>(<issue>2</issue>):<page-range>225&#x2013;33</page-range>. doi: <pub-id pub-id-type="doi">10.1111/j.1474-9726.2007.00279.x</pub-id>
</citation>
</ref>
<ref id="B23">
<label>23</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Gasparyan</surname> <given-names>AY</given-names>
</name>
<name>
<surname>Ayvazyan</surname> <given-names>L</given-names>
</name>
<name>
<surname>Mikhailidis</surname> <given-names>DP</given-names>
</name>
<name>
<surname>Kitas</surname> <given-names>GD</given-names>
</name>
</person-group>. <article-title>Mean Platelet Volume: A Link Between Thrombosis and Inflammation</article-title>. <source>Curr Pharm Des</source> (<year>2011</year>) <volume>17</volume>(<issue>1</issue>):<fpage>47</fpage>&#x2013;<lpage>58</lpage>. doi: <pub-id pub-id-type="doi">10.2174/138161211795049804</pub-id>
</citation>
</ref>
<ref id="B24">
<label>24</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Pujol-Moix</surname> <given-names>N</given-names>
</name>
<name>
<surname>V&#xe1;zquez-Santiago</surname> <given-names>M</given-names>
</name>
<name>
<surname>Morera</surname> <given-names>A</given-names>
</name>
<name>
<surname>Ziyatdinov</surname> <given-names>A</given-names>
</name>
<name>
<surname>Remacha</surname> <given-names>A</given-names>
</name>
<name>
<surname>Nomdedeu</surname> <given-names>J</given-names>
</name>
<etal/>
</person-group>. <article-title>Genetic Determinants of Platelet Large-Cell Ratio, Immature Platelet Fraction, and Other Platelet-Related Phenotypes</article-title>. <source>Thromb Res</source> (<year>2015</year>) <volume>136</volume>(<issue>2</issue>):<page-range>361&#x2013;6</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.thromres.2015.06.016</pub-id>
</citation>
</ref>
<ref id="B25">
<label>25</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ishibashi</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Tsujimoto</surname> <given-names>H</given-names>
</name>
<name>
<surname>Kouzu</surname> <given-names>K</given-names>
</name>
<name>
<surname>Itazaki</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Tsuchiya</surname> <given-names>S</given-names>
</name>
<name>
<surname>Fujishima</surname> <given-names>S</given-names>
</name>
<etal/>
</person-group>. <article-title>Impact of Antiplatelet and Anticoagulant Therapies on Platelet-Related Prognostic Markers in Patients With Esophageal Cancer</article-title>. <source>In Vivo</source> (<year>2020</year>) <volume>34</volume>(<issue>4</issue>):<page-range>1941&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.21873/invivo.11991</pub-id>
</citation>
</ref>
<ref id="B26">
<label>26</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Cho</surname> <given-names>MS</given-names>
</name>
<name>
<surname>Bottsford-Miller</surname> <given-names>J</given-names>
</name>
<name>
<surname>Vasquez</surname> <given-names>HG</given-names>
</name>
<name>
<surname>Stone</surname> <given-names>R</given-names>
</name>
<name>
<surname>Zand</surname> <given-names>B</given-names>
</name>
<name>
<surname>Kroll</surname> <given-names>MH</given-names>
</name>
<etal/>
</person-group>. <article-title>Platelets Increase the Proliferation of Ovarian Cancer Cells</article-title>. <source>Blood</source> (<year>2012</year>) <volume>120</volume>(<issue>24</issue>):<page-range>4869&#x2013;72</page-range>. doi: <pub-id pub-id-type="doi">10.1182/blood-2012-06-438598</pub-id>
</citation>
</ref>
<ref id="B27">
<label>27</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wu</surname> <given-names>B</given-names>
</name>
<name>
<surname>Ye</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Xie</surname> <given-names>S</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>X</given-names>
</name>
<name>
<surname>Lv</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Megakaryocytes Mediate Hyperglycemia-Induced Tumor Metastasis</article-title>. <source>Cancer Res</source> (<year>2021</year>) <volume>81</volume>(<issue>21</issue>):<page-range>5506&#x2013;22</page-range>. doi: <pub-id pub-id-type="doi">10.1158/0008-5472.CAN-21-1180</pub-id>
</citation>
</ref>
<ref id="B28">
<label>28</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Hufnagel</surname> <given-names>DH</given-names>
</name>
<name>
<surname>Cozzi</surname> <given-names>GD</given-names>
</name>
<name>
<surname>Crispens</surname> <given-names>MA</given-names>
</name>
<name>
<surname>Beeghly-Fadiel</surname> <given-names>A</given-names>
</name>
</person-group>. <article-title>Platelets, Thrombocytosis, and Ovarian Cancer Prognosis: Surveying the Landscape of the Literature</article-title>. <source>Int J Mol Sci</source> (<year>2020</year>) <volume>21</volume>(<issue>21</issue>):<fpage>8169</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms21218169</pub-id>
</citation>
</ref>
<ref id="B29">
<label>29</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Wang</surname> <given-names>YH</given-names>
</name>
<name>
<surname>Kang</surname> <given-names>JK</given-names>
</name>
<name>
<surname>Zhi</surname> <given-names>YF</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Zhou</surname> <given-names>Q</given-names>
</name>
<etal/>
</person-group>. <article-title>The Pretreatment Thrombocytosis as One of Prognostic Factors for Gastric Cancer: A Systematic Review and Meta-Analysis</article-title>. <source>Int J Surg</source> (<year>2018</year>) <volume>53</volume>:<page-range>304&#x2013;11</page-range>. doi: <pub-id pub-id-type="doi">10.1016/j.ijsu.2018.03.084</pub-id>
</citation>
</ref>
<ref id="B30">
<label>30</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ma</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Li</surname> <given-names>G</given-names>
</name>
<name>
<surname>Yu</surname> <given-names>M</given-names>
</name>
<name>
<surname>Sun</surname> <given-names>X</given-names>
</name>
<name>
<surname>Nian</surname> <given-names>J</given-names>
</name>
<name>
<surname>Gao</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Prognostic Significance of Thrombocytosis in Lung Cancer: A Systematic Review and Meta-Analysis</article-title>. <source>Platelets</source> (<year>2021</year>) <volume>32</volume>(<issue>7</issue>):<page-range>919&#x2013;27</page-range>. doi: <pub-id pub-id-type="doi">10.1080/09537104.2020.1810653</pub-id>
</citation>
</ref>
<ref id="B31">
<label>31</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Garmi</surname> <given-names>N</given-names>
</name>
<name>
<surname>Nasrallah</surname> <given-names>S</given-names>
</name>
<name>
<surname>Baram</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Katz</surname> <given-names>A</given-names>
</name>
<name>
<surname>Koren</surname> <given-names>A</given-names>
</name>
<name>
<surname>First</surname> <given-names>M</given-names>
</name>
<etal/>
</person-group>. <article-title>Platelets and Breast Cancer</article-title>. <source>Isr Med Assoc J</source> (<year>2020</year>) <volume>22</volume>(<issue>10</issue>):<page-range>613&#x2013;7</page-range>.</citation>
</ref>
<ref id="B32">
<label>32</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Liu</surname> <given-names>PH</given-names>
</name>
<name>
<surname>Hsu</surname> <given-names>CY</given-names>
</name>
<name>
<surname>Su</surname> <given-names>CW</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>YH</given-names>
</name>
<name>
<surname>Hou</surname> <given-names>MC</given-names>
</name>
<name>
<surname>Rich</surname> <given-names>NE</given-names>
</name>
<etal/>
</person-group>. <article-title>Thrombocytosis is Associated With Worse Survival in Patients With Hepatocellular Carcinoma</article-title>. <source>Liver Int</source> (<year>2020</year>) <volume>40</volume>(<issue>10</issue>):<page-range>2522&#x2013;34</page-range>. doi: <pub-id pub-id-type="doi">10.1111/liv.14560</pub-id>
</citation>
</ref>
<ref id="B33">
<label>33</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Jokisch</surname> <given-names>JF</given-names>
</name>
<name>
<surname>Grimm</surname> <given-names>T</given-names>
</name>
<name>
<surname>Buchner</surname> <given-names>A</given-names>
</name>
<name>
<surname>Kretschmer</surname> <given-names>A</given-names>
</name>
<name>
<surname>Weinhold</surname> <given-names>P</given-names>
</name>
<name>
<surname>Stief</surname> <given-names>CG</given-names>
</name>
<etal/>
</person-group>. <article-title>Preoperative Thrombocytosis in Patients Undergoing Radical Cystectomy for Urothelial Cancer of the Bladder: An Independent Prognostic Parameter for an Impaired Oncological Outcome</article-title>. <source>Urol Int</source> (<year>2020</year>) <volume>104</volume>(<issue>1-2</issue>):<fpage>36</fpage>&#x2013;<lpage>41</lpage>. doi: <pub-id pub-id-type="doi">10.1159/000500729</pub-id>
</citation>
</ref>
<ref id="B34">
<label>34</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Qin</surname> <given-names>L</given-names>
</name>
<name>
<surname>Li</surname> <given-names>JY</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>WJ</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>ML</given-names>
</name>
<name>
<surname>Wang</surname> <given-names>RT</given-names>
</name>
<name>
<surname>Shen</surname> <given-names>W</given-names>
</name>
</person-group>. <article-title>Higher Platelet Distribution Width is Associated With Unfavorable Prognosis in Ovarian Cancer</article-title>. <source>Cancer biomark</source> (<year>2020</year>) <volume>28</volume>(<issue>3</issue>):<page-range>365&#x2013;70</page-range>. doi: <pub-id pub-id-type="doi">10.3233/CBM-191190</pub-id>
</citation>
</ref>
<ref id="B35">
<label>35</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Huang</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Cui</surname> <given-names>MM</given-names>
</name>
<name>
<surname>Huang</surname> <given-names>YX</given-names>
</name>
<name>
<surname>Fu</surname> <given-names>S</given-names>
</name>
<name>
<surname>Zhang</surname> <given-names>X</given-names>
</name>
<name>
<surname>Guo</surname> <given-names>H</given-names>
</name>
<etal/>
</person-group>. <article-title>Preoperative Platelet Distribution Width Predicts Breast Cancer Survival</article-title>. <source>Cancer biomark</source> (<year>2018</year>) <volume>23</volume>(<issue>2</issue>):<page-range>205&#x2013;11</page-range>. doi: <pub-id pub-id-type="doi">10.3233/CBM-181267</pub-id>
</citation>
</ref>
<ref id="B36">
<label>36</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Citirik</surname> <given-names>M</given-names>
</name>
<name>
<surname>Beyazyildiz</surname> <given-names>E</given-names>
</name>
<name>
<surname>Simsek</surname> <given-names>M</given-names>
</name>
<name>
<surname>Beyazyildiz</surname> <given-names>O</given-names>
</name>
<name>
<surname>Haznedaroglu</surname> <given-names>IC</given-names>
</name>
</person-group>. <article-title>MPV may Reflect Subcinical Platelet Activation in Diabetic Patients With and Without Diabetic Retinopathy</article-title>. <source>Eye (Lond)</source> (<year>2015</year>) <volume>29</volume>(<issue>3</issue>):<page-range>376&#x2013;9</page-range>. doi: <pub-id pub-id-type="doi">10.1038/eye.2014.298</pub-id>
</citation>
</ref>
<ref id="B37">
<label>37</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Deng</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Long</surname> <given-names>Q</given-names>
</name>
<name>
<surname>Liu</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>Z</given-names>
</name>
<name>
<surname>Du</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Chen</surname> <given-names>X</given-names>
</name>
</person-group>. <article-title>Prognostic Value of Preoperative Peripheral Blood Mean Platelet Volume/Platelet Count Ratio (MPV/PC) in Patients With Resectable Cervical Cancer</article-title>. <source>BMC Cancer</source> (<year>2021</year>) <volume>21</volume>(<issue>1</issue>):<fpage>1282</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12885-021-09016-8</pub-id>
</citation>
</ref>
<ref id="B38">
<label>38</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Ning</surname> <given-names>Y</given-names>
</name>
<name>
<surname>Yang</surname> <given-names>H</given-names>
</name>
<name>
<surname>Qin</surname> <given-names>S</given-names>
</name>
<name>
<surname>Cao</surname> <given-names>BR</given-names>
</name>
<name>
<surname>Zhong</surname> <given-names>ZX</given-names>
</name>
<name>
<surname>He</surname> <given-names>CS</given-names>
</name>
<etal/>
</person-group>. <article-title>Prognostic Value of Preoperative Mean Platelet Volume and a Predictive Nomogram in Oral Squamous Cell Carcinoma Patients Based on Real-World Data</article-title>. <source>Cancer Manag Res</source> (<year>2021</year>) <volume>13</volume>:<page-range>8495&#x2013;509</page-range>. doi: <pub-id pub-id-type="doi">10.2147/CMAR.S323117</pub-id>
</citation>
</ref>
<ref id="B39">
<label>39</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Asare</surname> <given-names>R</given-names>
</name>
<name>
<surname>Opoku-Okrah</surname> <given-names>C</given-names>
</name>
<name>
<surname>Danquah</surname> <given-names>KO</given-names>
</name>
<name>
<surname>Opare-Sem</surname> <given-names>O</given-names>
</name>
<name>
<surname>Addai-Mensah</surname> <given-names>O</given-names>
</name>
<name>
<surname>Gyamfi</surname> <given-names>D</given-names>
</name>
<etal/>
</person-group>. <article-title>Expression of Platelet Parameters and Platelet Membrane Glycoproteins in Childhood Burkitt Lymphoma</article-title>. <source>Leuk Res</source> (<year>2019</year>) <volume>84</volume>:<fpage>106189</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.leukres.2019.106189</pub-id>
</citation>
</ref>
<ref id="B40">
<label>40</label>
<citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname>Psaila</surname> <given-names>B</given-names>
</name>
<name>
<surname>Bussel</surname> <given-names>JB</given-names>
</name>
<name>
<surname>Frelinger</surname> <given-names>AL</given-names>
</name>
<name>
<surname>Babula</surname> <given-names>B</given-names>
</name>
<name>
<surname>Linden</surname> <given-names>MD</given-names>
</name>
<name>
<surname>Li</surname> <given-names>Y</given-names>
</name>
<etal/>
</person-group>. <article-title>Differences in Platelet Function in Patients With Acute Myeloid Leukemia and Myelodysplasia Compared to Equally Thrombocytopenic Patients With Immune Thrombocytopenia</article-title>. <source>J Thromb Haemost</source> (<year>2011</year>) <volume>9</volume>(<issue>11</issue>):<page-range>2302&#x2013;10</page-range>. doi: <pub-id pub-id-type="doi">10.1111/j.1538-7836.2011.04506.x</pub-id>
</citation>
</ref>
</ref-list>
</back>
</article>