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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.2022.870258</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>An Extended Prognostic Index of the ISSWM Score Based on Thyroid Complications in Waldenstr&#xf6;m Macroglobulinemia/Lymphoplasmacytoid Lymphoma</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Hu</surname>
<given-names>Xinting</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Hua</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yuan</surname>
<given-names>Dai</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="aff" rid="aff3">
<sup>3</sup>
</xref>
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<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Qu</surname>
<given-names>Huiting</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Ying</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Na</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1417989"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Xianghua</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Liu</surname>
<given-names>Xin</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Hongzhi</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Ya</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/922978"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Wang</surname>
<given-names>Xin</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="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1306698"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Hematology, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University</institution>, <addr-line>Jinan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Hematology, Shandong Provincial Hospital Affiliated to Shandong First Medical University</institution>, <addr-line>Jinan</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>School of Medicine, Shandong University</institution>, <addr-line>Jinan</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Shandong Provincial Engineering Research Center of Lymphoma</institution>, <addr-line>Jinan</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Branch of National Clinical Research Center for Hematologic Diseases</institution>, <addr-line>Jinan</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>National Clinical Research Center for Hematologic Diseases, The First Affiliated Hospital of Soochow University</institution>, <addr-line>Suzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Tadeusz Robak, Medical University of Lodz, Poland</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Narendranath Epperla, The Ohio State University, United States; Antonio Giovanni Solimando, University of Bari Aldo Moro, Italy</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xin Wang, <email xlink:href="mailto:xinw007@126.com">xinw007@126.com</email>; Ya Zhang, <email xlink:href="mailto:maryzhangya@gmail.com">maryzhangya@gmail.com</email>
</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>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>13</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>870258</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Hu, Wang, Yuan, Qu, Li, Wang, Wang, Liu, Xu, Zhang and Wang</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Hu, Wang, Yuan, Qu, Li, Wang, Wang, Liu, Xu, Zhang and Wang</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>
<p>Waldenstr&#xf6;m macroglobulinemia/lymphoplasmacytoid lymphoma (WM/LPL) is a rare lymphoproliferative neoplasm characterized by clonally related lymphocytes, lymphoplasmacytic cells, and plasma cell proliferation. WM/LPL patients commonly present with elevated immunoglobulin, predominantly immunoglobulin M (IgM). Previous studies reported that thyroid dysfunction was associated with the development and progression of solid tumors. However, only limited information is available on the correlation between thyroid complications and lymphoid malignancies. The aim of our study was to explore the prognostic significance of thyroid complications in WM/LPL. Herein, 13.3% of WM/LPL patients were diagnosed with thyroid complications, which were significantly associated with unfavorable progression-free survival (PFS), overall survival (OS), and adverse treatment response. Co-existing thyroid disease was significantly related to alleviated serum IgM levels, providing an answer to practical problems. Furthermore, the presence of thyroid complications was identified as an independent prognostic indicator for PFS in WM/LPL. Incorporating the ISSWM score with thyroid complications was superior to ISSWM alone in risk stratification and prognostic prediction. Furthermore, subgroup analyses of WM/LPL patients revealed that subclinical hypothyroidism predicted undesirable outcomes at the early stage. These results were also supported by independent microarray dataset analyses. In conclusion, the primary strength of this study is that it provides robust real-world evidence on the prognostic role of thyroid complications, highlighting further clinical concerns in the management of WM/LPL patients.</p>
</abstract>
<kwd-group>
<kwd>Waldenstr&#xf6;m macroglobulinemia/lymphoplasmacytoid lymphoma</kwd>
<kwd>thyroid complications</kwd>
<kwd>survival</kwd>
<kwd>immunoglobulin M</kwd>
<kwd>retrospective</kwd>
</kwd-group>
<contract-num rid="cn001">No.82000195, No.82070203, No.81770210</contract-num>
<contract-num rid="cn002">No.2018CXGC1213</contract-num>
<contract-num rid="cn003">No.ZR2020QH094</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Key Technology Research and Development Program of Shandong<named-content content-type="fundref-id">10.13039/100014103</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">Natural Science Foundation of Shandong Province<named-content content-type="fundref-id">10.13039/501100007129</named-content>
</contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="55"/>
<page-count count="13"/>
<word-count count="5951"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Lymphoplasmacytic lymphoma (LPL), a rare lymphoproliferative neoplasm with an annual incidence of 3 to 4 cases per million people, is composed of small B lymphocytes, plasmacytoid lymphocytes, and plasma cells that typically involve the bone marrow, lymph nodes, and spleen (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B3">3</xref>). Waldenstr&#xf6;m macroglobulinemia (WM) is the most common type of LPL, secreting immunoglobulin M (IgM), while IgA and IgG and non-secretory LPL accounted for less than 5%. The clinical presentation of most WM/LPL patients can be attributed to tumor infiltration and/or monoclonal protein, which usually includes disseminated disease, but extranidal involvement and leukemic phase are rare (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). According to whole-genome sequencing, MYD88 L265P is the most commonly recurring mutation in the majority of WM/LPL cases (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Except for MYD88, CXCR4 mutation accounted for 30%&#x2013;40% of WM/LPL patients, which is the second most common gene mutation (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). The current median survival of WM/LPL patients is approximately 7.4 years [95% confidence interval (CI), 6.8&#x2013;8.2]. With the advent of novel treatments, survivorship from WM/LPL continues to increase (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>). When treatment is warranted, combinations of anti-CD20 (rituximab) with alkylating agents and proteasome inhibitors are the principal treatment options. Promising novel therapies in development include non-covalent BTK inhibitors, CXCR4 antagonists, bi-specific antibodies, radioimmunoconjugates, and CD19- or CD20-Targeted Chimeric Antigen Receptor T cells (<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B16">16</xref>). Curative therapy is not available and current standard treatment regimens seldom prolong the survival of WM/LPL patients. Therefore, the establishment of prognostic factors is the key to evaluating clinical interventions in WM/LPL (<xref ref-type="bibr" rid="B17">17</xref>).</p>
<p>Excessive secretion of monoclonal IgM is the most prominent feature in WM patients (<xref ref-type="bibr" rid="B18">18</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref>). Although asymptomatic patients do not need to be treated according to current clinical guidelines, those with elevated serum IgM levels are often treated (<xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B23">23</xref>), because the high level of IgM in the bloodstream increases the risk of hyperviscosity syndrome, which is a potentially life-threatening complication (<xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>). In order to evaluate the prognostic significance of IgM levels in a broad range of WM/LPL populations, a survival analysis of serum IgM levels has been carried out in this study.</p>
<p>Data collected by the National Cancer Institute from a large cohort of WM/LPL patients suggest that WM/LPL was correlated with autoimmune disease. Relevant studies have shown that the thyroid is more susceptible to autoimmunity than other organs; thus, thyroid complications have been considered to be the manifestation of autoimmunity problems (<xref ref-type="bibr" rid="B27">27</xref>). Furthermore, thyroid function parameters are significantly related to the prognosis of many tumors (<xref ref-type="bibr" rid="B28">28</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). Thus, in addition to hypertension, coronary heart disease, diabetes, and other common complications, our research focused on a major proportion of WM/LPL patients with thyroid complications. To our knowledge, little previous literature have focused on WM/LPL patients with thyroid complications. The aim of our study is to investigate the prognostic value of thyroid complications in WM/LPL.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Study Population</title>
<p>This retrospective observational study enrolled one hundred and fourteen patients with newly diagnosed WM/LPL between May 2001 and March 2021 from Shandong Provincial Hospital with informed consent; no personal identifiable information was recorded in this study. Diagnostic criteria for LPL in all cases were defined as a tumor of small lymphocytes showing evidence of plasmacytoid/plasma cell differentiation without any of the clinical, morphological, or immunophenotypic features of other lymphoproliferative disorders (<xref ref-type="bibr" rid="B18">18</xref>). The presence of IgM monoclonal protein associated with &#x2265;10% clonal lymphoplasmacytic cells in bone marrow confirms the diagnosis of WM (<xref ref-type="bibr" rid="B32">32</xref>). Baseline demographic and clinical data concerning sex, age, and the International Staging System Waldenstr&#xf6;m Macroglobulinemia (ISSWM) score were collected from medical records and hospital registries at diagnosis. Eight patients were excluded due to lack of clinical information and laboratory examinations and death with no relation to WM/LPL. All procedures involving human participants in this study were approved by the Research Ethics Committee of the Shandong Provincial Hospital.</p>
</sec>
<sec id="s2_2">
<title>Study Design and Data</title>
<p>In this study, the thyroid complication group was divided according to the clinical diagnosis, from the hospital discharge registry system and electronic medical records (<xref ref-type="bibr" rid="B33">33</xref>). There are 13 cases enrolled in this group, including 8 cases with hypothyroidism, 2 cases with Graves&#x2019; disease, 1 case with hyperthyroidism, 1 case with thyroid cancer, and 1 case with Hashimoto&#x2019;s disease but without abnormal thyroid function index. We analyzed 106 WM/LPL patients and collected parameters at diagnosis, including age at diagnosis, hemoglobin level, platelet count, serum albumin, &#x3b2;2-microglobulin, serum lactate dehydrogenase levels, free triiodothyronine (FT3), free tetraiodothyronine (FT), thyroid-stimulating hormone (TSH), anti-thyroglobulin antibodies (TG-Ab), antithyroid peroxidase autoantibody (anti-TPO), and thyrotropin receptor antibody. Subsequently, the survival difference between patients with and without thyroid complications was analyzed in WM/LPL patients. Based on ISSWM, an extended prediction model was established. A subsequent comparison of ISSWM and novel established index was performed. Finally, the role of thyroid-related genes in WM/LPL patients was further investigated.</p>
</sec>
<sec id="s2_3">
<title>Outcomes</title>
<p>The outcome of this study was disease progression or death. Disease progression was defined as &#x2265;25% increase in serum IgM level from lowest nadir and/or progression in clinical features attributable to the disease according to IWWM-7 consensus (<xref ref-type="bibr" rid="B34">34</xref>). Patients who died of accidents or other medical conditions with no relation to WM/LPL were excluded from this study. Progression-free survival (PFS) referred to the time from the beginning of treatment to disease progression or death for any cause. Overall survival (OS) was measured from the date of diagnosis to the date of death, which was censored at the date of the last follow-up visit.</p>
</sec>
<sec id="s2_4">
<title>
<italic>In Silico</italic> Analyses</title>
<p>The dataset (GSE6691) is from the GEO database (<uri xlink:href="https://www.ncbi.nlm.nih.gov/geo/">https://www.ncbi.nlm.nih.gov/geo/</uri>), and the download data format is MINIML. The Limma package (version: 3.40.2) of the R software was used to study the differential expression of mRNAs. The adjusted <italic>p</italic>-value was analyzed to correct for false-positive results in GEO datasets. To further confirm the underlying function of potential targets, the data were analyzed by functional enrichment. Gene Ontology (GO) is a widely used tool for annotating genes with functions, especially molecular function (MF), biological pathways (BP), and cellular components (CC). To better understand the carcinogenesis of mRNA, the ClusterProfiler package (version: 3.18.0) in R was employed to analyze the GO function of potential targets. The box plot is implemented by the R software package ggplot2; the heat map is displayed by the R software package pheatmap.</p>
</sec>
<sec id="s2_5">
<title>Statistical Analyses</title>
<p>The Chi-square test and Fisher&#x2019;s precise test were used for the comparison of characteristics. The Kaplan&#x2013;Meier method was used for the analysis of survival outcomes and the log-rank test was used for comparisons. Cox regression hazard analysis was also performed for univariate and multivariate analysis of OS and PFS. Receiver operating characteristic (ROC) curves and the Delong test were employed for the comparison of two different prognostic scoring systems. <italic>p</italic> &lt; 0.05 was considered significant. All analyses were performed using SPSS software version 26.0 and Medcalc software.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Characteristics of WM/LPL Patients at Diagnosis</title>
<p>The study population consisted of 114 WM/LPL patients, with 8 patients excluded because of inaccurate diagnosis and incomplete clinical information. The median age of the remaining 106 patients was 63 years (range, 14 to 86) at diagnosis, and patients over 65 years of age accounted for 41.5% of all patients. The frequency of B-symptoms was 29.2%, and 21.7% of patients showed involved extramedullary sites. More than half of the patients (63%) had a hemoglobin level lower than 11.5 g/dl, while only 21.7% of patients had thrombocytopenia. Almost all patients had an elevated IgM level, which ranged from 0.27 g/L to 126 g/L (median, 23.85 g/L). Among all patients, the most common complication was hypertension (18%), followed by diabetes mellitus (15%) and thyroid function abnormalities (12.3%). The positive MYD88-L265P fusion gene accounted for 73.5% of WM/LPL patients. A rituximab (anti-CD20 antibody)-based combination regimen was the first choice in 41.7% of WM/LPL patients, followed by a Bortezomib (proteasome inhibitor) combination regimen in 10.7%. The characteristics of the study population are summarized in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Clinical and biological characteristics of Waldenstr&#xf6;m macroglobulinemia/lymphoplasmacytoid lymphoma (WM/LPL) patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" colspan="2" align="left">Characteristics</th>
<th valign="top" align="center">
<italic>N</italic>
</th>
<th valign="top" align="center">%</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="left">Gender</td>
<td valign="top" align="center">Male</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">67.9</td>
</tr>
<tr>
<td valign="top" align="center">Female</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">32.1</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Age (median, 63 years; range, 14&#x2013;86 years)</td>
<td valign="top" align="center">&#x2264;65</td>
<td valign="top" align="center">62</td>
<td valign="top" align="center">58.5</td>
</tr>
<tr>
<td valign="top" align="center">&gt;65</td>
<td valign="top" align="center">44</td>
<td valign="top" align="center">41.5</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">B-symptoms</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">75</td>
<td valign="top" align="center">70.8</td>
</tr>
<tr>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">29.2</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Serum LDH level</td>
<td valign="top" align="center">Normal</td>
<td valign="top" align="center">51</td>
<td valign="top" align="center">82.3</td>
</tr>
<tr>
<td valign="top" align="center">Elevated</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">17.7</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Hemoglobin level</td>
<td valign="top" align="center">&#x2264;11.5 g/dl</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">63.0</td>
</tr>
<tr>
<td valign="top" align="center">&gt;11.5 g/dl</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">37.0</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Platelet</td>
<td valign="top" align="center">&#x2264;100&#xd7;10<sup>9</sup>/L</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">21.7</td>
</tr>
<tr>
<td valign="top" align="center">&gt;100&#xd7;10<sup>9</sup>/L</td>
<td valign="top" align="center">72</td>
<td valign="top" align="center">78.3</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">&#x3b2;2-MG</td>
<td valign="top" align="center">&#x2264;3 mg/L</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">39.5</td>
</tr>
<tr>
<td valign="top" align="center">&gt;3 mg/L</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">60.5</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Serum IgM</td>
<td valign="top" align="center">&#x2264;70 g/L</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">85.4</td>
</tr>
<tr>
<td valign="top" align="center">&gt;70 g/L</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">14.6</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">IPSSWM risk group</td>
<td valign="top" align="center">Low (0&#x2013;1)</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center">37.0</td>
</tr>
<tr>
<td valign="top" align="center">Intermediate (2)</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">24.7</td>
</tr>
<tr>
<td valign="top" align="center">High (3&#x2013;5)</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">38.3</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Extramedullary involvement</td>
<td valign="top" align="center">No</td>
<td valign="top" align="center">83</td>
<td valign="top" align="center">78.3</td>
</tr>
<tr>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">21.7</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">MYD88 L265P</td>
<td valign="top" align="center">Wild-type</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">26.5</td>
</tr>
<tr>
<td valign="top" align="center">Mutated</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">73.5</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Treatment</td>
<td valign="top" align="center">With CD20 antibody</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">31.9</td>
</tr>
<tr>
<td valign="top" align="center">Without CD20 antibody</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">68.1</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Over a median of 38 months of follow-up, there was lost-to-follow-up in 38 cases (37%), death in 8 cases (7%), and progression developed in 47 cases (45%). The median OS of all patients was not reached (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>) and the median PFS was 96 months (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). Furthermore, patients with no progression, including complete response (CR), partial response (PR), and stable disease, showed better OS (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>) and PFS (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1D</bold>
</xref>) than patients with progressive disease.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Overview of survival in Waldenstr&#xf6;m macroglobulinemia/lymphoplasmacytoid lymphoma (WM/LPL) patients. <bold>(A)</bold> Kaplan&#x2013;Meier curves of overall survival (OS) in all enrolled WM/LPL patients. <bold>(B)</bold> Kaplan&#x2013;Meier curves of progression-free survival (PFS) in all enrolled WM/LPL patients. <bold>(C)</bold> Comparison of OS by the response to initial treatment. <bold>(D)</bold> Comparison of PFS by the response to initial treatment. <bold>(E)</bold> Kaplan&#x2013;Meier curves of OS stratified by thyroid complications. <bold>(F)</bold> Kaplan&#x2013;Meier curves of PFS stratified by thyroid complications. CR, complete response; PR, partial response; SD, stable disease; PD, progressive disease.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-870258-g001.tif"/>
</fig>
</sec>
<sec id="s3_2">
<title>Relationship Between Thyroid Function Abnormalities and Serum IgM Level in WM/LPL</title>
<p>In our study, a high incidence rate of thyroid complications was observed in WM/LPL patients. Given the abnormal IgM level as the most characteristic feature identified in WM/LPL patients&#x2019; sera, we wonder whether it might be related to thyroid complications. To investigate the potential association, we analyzed the correlation between thyroid complications and serum IgM levels. A relevant study showed that relative viscosity increased exponentially above a concentration of 30 g/L (3,000 mg/dl) (<xref ref-type="bibr" rid="B35">35</xref>). Moreover, it is reported that patients with IgM &gt; 30 g/L are more likely to get symptomatic hyperviscosity (<xref ref-type="bibr" rid="B36">36</xref>). Thus, the patients were divided into low- and high-IgM groups with a cutoff of 30 g/L. Intriguingly, as <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref> shows, a significant correlation between thyroid complications and relatively alleviated IgM levels was observed (<italic>p</italic> = 0.03). However, there was no statistically significant correlation between the thyroid function parameters and IgM level, including FT3 (<italic>p</italic> = 0.246), FT4 (<italic>p</italic> = 0.6), Anti-TG (<italic>p</italic> = 0.576), and TSH (<italic>p</italic> = 0.128). These results suggested the potential causal associations between thyroid complications and alleviated IgM levels, providing an answer for clinical problems. However, further studies with larger sample sizes were required to validate the relationship between the level of thyroid hormones and IgM.</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Relationship between thyroid complications and serum immunoglobulin M (IgM) level in WM/LPL.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Characteristics</th>
<th valign="top" rowspan="2" align="center">No. of patients</th>
<th valign="top" colspan="2" align="center">IgM level</th>
<th valign="top" rowspan="2" align="center">
<italic>p</italic>-value</th>
</tr>
<tr>
<th valign="top" align="center">Low (&#x2264;30 g/L)</th>
<th valign="top" align="center">High (&gt;30 g/L)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">FT3</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;Lower limit of normal</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0</td>
<td valign="top" rowspan="2" align="center">0.246</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Normal</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">FT4</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="2" align="center">0.600</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;Lower limit of normal</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">2</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Normal</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" align="left">TSH</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="2" align="center">0.128</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Normal</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">5</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;Upper limit of normal</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0</td>
</tr>
<tr>
<td valign="top" align="left">Anti-TG</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" rowspan="2" align="center">0.576</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Normal</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">3</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;Upper limit of normal</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">1</td>
</tr>
<tr>
<td valign="top" align="left">Thyroid complications</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Absent</td>
<td valign="top" align="center">69</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">
<bold>0.035*</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Present</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*p &lt; 0.05; Bold values mean statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<title>Clinical Characteristics Correlated With Thyroid Function and IgM in WM/LPL</title>
<p>To evaluate the effect of thyroid function abnormalities and IgM on disease presentation, we examined the clinical and biological baseline information of the enrolled patients. The demographic and clinical features of the enrolled patients are depicted in <xref ref-type="table" rid="T3">
<bold>Table&#xa0;3</bold>
</xref>. For clinical parameters, a significant dominance was identified in that patients without thyroid complications were more likely to get an overall response (CR+PR) to the initial treatment (<italic>p</italic> = 0.001). However, as to biological variables and laboratory findings, there were no indicators that presented statistical significance between WM/LPL patients with or without thyroid complications.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Comparative clinical and biological characteristics of WM/LPL with or without thyroid complications.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Characteristics</th>
<th valign="top" rowspan="2" align="center">No. of patients</th>
<th valign="top" colspan="3" align="center">Thyroid complications</th>
<th valign="top" rowspan="2" align="center">
<italic>p</italic>-value</th>
</tr>
<tr>
<th valign="top" align="center">Absent</th>
<th valign="top" colspan="2" align="center">Present (<italic>n</italic> = 13)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;65</td>
<td valign="top" align="center">59</td>
<td valign="top" colspan="2" align="center">52</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.559</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;65</td>
<td valign="top" align="center">47</td>
<td valign="top" colspan="2" align="center">41</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">72</td>
<td valign="top" colspan="2" align="center">65</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">0.197</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">34</td>
<td valign="top" colspan="2" align="center">28</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Hemoglobin level (g/dl)</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264;11.5</td>
<td valign="top" align="center">58</td>
<td valign="top" colspan="2" align="center">50</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">0.525</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt;11.5</td>
<td valign="top" align="center">34</td>
<td valign="top" colspan="2" align="center">30</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Platelet (&#xd7;10<sup>9</sup>/L)</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2264;100</td>
<td valign="top" align="center">20</td>
<td valign="top" colspan="2" align="center">18</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.490</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&gt;100</td>
<td valign="top" align="center">72</td>
<td valign="top" colspan="2" align="center">62</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">ISSWM risk group</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low or intermediate (0&#x2013;2)</td>
<td valign="top" align="center">45</td>
<td valign="top" colspan="2" align="center">42</td>
<td valign="top" align="center">3</td>
<td valign="top" align="center">
<bold>0.014*</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High (3&#x2013;5)</td>
<td valign="top" align="center">28</td>
<td valign="top" colspan="2" align="center">20</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">B-symptoms</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Absent</td>
<td valign="top" align="center">36</td>
<td valign="top" colspan="2" align="center">30</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.381</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Present</td>
<td valign="top" align="center">31</td>
<td valign="top" colspan="2" align="center">24</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Extramedullary involvement</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Absent</td>
<td valign="top" align="center">64</td>
<td valign="top" colspan="2" align="center">60</td>
<td valign="top" align="center">4</td>
<td valign="top" align="center">0.211</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Present</td>
<td valign="top" align="center">11</td>
<td valign="top" colspan="2" align="center">9</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">MYD88 L265P mutation</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Negative</td>
<td valign="top" align="center">13</td>
<td valign="top" colspan="2" align="center">11</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">0.407</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Positive</td>
<td valign="top" align="center">26</td>
<td valign="top" colspan="2" align="center">24</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Lactate dehydrogenase</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Normal</td>
<td valign="top" align="center">51</td>
<td valign="top" colspan="2" align="center">45</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.638</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Elevated</td>
<td valign="top" align="center">11</td>
<td valign="top" colspan="2" align="center">10</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x3b2;2-microglobulin</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Normal</td>
<td valign="top" align="center">33</td>
<td valign="top" colspan="2" align="center">28</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.555</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Elevated</td>
<td valign="top" align="center">48</td>
<td valign="top" colspan="2" align="center">40</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Globulin</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Normal</td>
<td valign="top" align="center">39</td>
<td valign="top" colspan="2" align="center">31</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">0.156</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Elevated</td>
<td valign="top" align="center">48</td>
<td valign="top" colspan="2" align="center">43</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">C-reactive protein<break/>&#x2003;Normal</td>
<td valign="top" align="center">30</td>
<td valign="top" colspan="2" align="center">25</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center">0.258</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Elevated</td>
<td valign="top" align="center">27</td>
<td valign="top" colspan="2" align="center">25</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Treatment</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Without CD20 antibody</td>
<td valign="top" align="center">27</td>
<td valign="top" colspan="2" align="center">21</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center">0.503</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;With CD20 antibody</td>
<td valign="top" align="center">23</td>
<td valign="top" colspan="2" align="center">17</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Treatment response</td>
<td valign="top" align="center"/>
<td valign="top" colspan="2" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Response</td>
<td valign="top" align="center">32</td>
<td valign="top" colspan="2" align="center">30</td>
<td valign="top" align="center">2</td>
<td valign="top" align="center">
<bold>0.001**</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-response</td>
<td valign="top" align="center">15</td>
<td valign="top" colspan="2" align="center">7</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*p &lt; 0.05, **p &lt; 0.01; Bold values mean statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Moreover, patients with high levels of IgM more frequently presented with high levels of globulin (<italic>p</italic> = 0.001), elevated &#x3b2;2-MG (<italic>p</italic> = 0.033), and decreased hemoglobin with <italic>p</italic>-values around 0.001. There were no differences related to sex, age, presence of B-symptoms, extramedullary involvement, MYD88 L265P mutation, and response to treatment (<xref ref-type="table" rid="T4">
<bold>Table&#xa0;4</bold>
</xref>).</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Comparative clinical and biological characteristics of WM/LPL based on IgM level.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Characteristics</th>
<th valign="top" rowspan="2" align="center">No. of patients</th>
<th valign="top" colspan="2" align="center">IgM level</th>
<th valign="top" rowspan="2" align="center">
<italic>p-</italic>value</th>
</tr>
<tr>
<th valign="top" align="center">Low (&#x2264;30 g/L)</th>
<th valign="top" align="center">High (&gt;30 g/L)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;65</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">0.383</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;65</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Gender</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Male</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">0.475</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Hemoglobin (g/dl)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;11.5</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">
<bold>0.001***</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;11.5</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">5</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Platelet (&#xd7;10<sup>9</sup>/L)</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;100</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">0.794</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&#x2265;100</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center">27</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">ISSWM risk group</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low or Intermediate (0&#x2013;2)</td>
<td valign="top" align="center">43</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">0.326</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High (3&#x2013;5)</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">B-symptoms</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Absent</td>
<td valign="top" align="center">54</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">22</td>
<td valign="top" align="center">0.817</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Present</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">13</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Extramedullary involvement</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Absent</td>
<td valign="top" align="center">63</td>
<td valign="top" align="center">33</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">0.999</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Present</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">11</td>
<td valign="top" align="center">10</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">MYD88 L265P mutation</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Positive</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">0.995</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Negative</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Lactate dehydrogenase</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Normal</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">26</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">0.121</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Elevated</td>
<td valign="top" align="center">8</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x3b2;2-microglobulin</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Normal</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">7</td>
<td valign="top" align="center">
<bold>0.033*</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Elevated</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Globulin</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Normal</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">1</td>
<td valign="top" align="center">
<bold>0.001***</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Elevated</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Treatment response</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Response</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">12</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">0.226</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Non-response</td>
<td valign="top" align="center">15</td>
<td valign="top" align="center">9</td>
<td valign="top" align="center">6</td>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*p &lt; 0.05, ***p &lt; 0.001; Bold values mean statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<title>Prognostic Significance of Thyroid Complications and IgM in WM/LPL</title>
<p>The present study further investigated the prognostic value of thyroid complications and IgM in patients with WM/LPL. Kaplan&#x2013;Meier curves showed no difference in OS between different groups of IgM levels (median follow-up time: low-IgM group, 40 months vs. high-IgM group, 42 months). A similar result was observed in PFS, with a <italic>p</italic>-value of 0.93. As demonstrated in <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1E, F</bold>
</xref>, the median OS for patients with thyroid function abnormalities was significantly shorter than those without thyroid function abnormalities (not reached vs. 91 months, <italic>p</italic> = 0.02). Consistently, the result also indicated a PFS of 30 months for patients with thyroid complications, while the median survival was 60 months for non-thyroid complications (<italic>p</italic> = 0.005).</p>
<p>Subsequently, clinical and laboratory variables including age, ISSWM risk group, presence of thyroid complications, levels of hemoglobin, platelet, lactate dehydrogenase (LDH), globulin, and &#x3b2;2-MG, together with thyroid function parameters and cytogenetic parameters of MYD88 L265P mutated status, were entered into the univariate and multivariate Cox regression analyses. In the univariate Cox regression model, age (HR 0.403, 95% CI 0.185&#x2013;0.879; <italic>p</italic> = 0.022), ISSWM score (HR 1.059, 95% CI 0.409&#x2013;2.741; <italic>p</italic> = 0.014), and thyroid complications (HR 0.229, 95% CI 0.106&#x2013;0.491; <italic>p</italic> &lt; 0.001) were significantly associated with an increased risk of progression. The multivariate Cox analysis showed that the impact of thyroid complications was maintained irrespective of age and ISSWM score, with an HR of 0.226 for thyroid complications (95% CI 0.084&#x2013;0.608, <italic>p</italic> = 0.03, <xref ref-type="table" rid="T5">
<bold>Table&#xa0;5</bold>
</xref>).</p>
<table-wrap id="T5" position="float">
<label>Table&#xa0;5</label>
<caption>
<p>Univariate and multivariate Cox regression analyses of progression-free survival (PFS) in WM/LPL patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" align="left">Variables</th>
<th valign="top" align="center"/>
<th valign="top" colspan="4" align="center">Univariate analyses</th>
<th valign="top" colspan="3" align="center">Multivariate analyses</th>
</tr>
<tr>
<th valign="top" align="center"/>
<th valign="top" align="center">HR</th>
<th valign="top" align="center">95% CI</th>
<th valign="top" colspan="2" align="center">
<italic>p-</italic>value</th>
<th valign="top" align="center">HR</th>
<th valign="top" align="center">95% CI</th>
<th valign="top" align="center">
<italic>p-</italic>value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (years)</td>
<td valign="top" align="left">&lt;65 vs. &#x2265;65</td>
<td valign="top" align="center">0.403</td>
<td valign="top" colspan="2" align="center">0.185&#x2013;0.879</td>
<td valign="top" align="center">
<bold>0.022*</bold>
</td>
<td valign="top" align="center">0.223</td>
<td valign="top" align="center">0.043&#x2013;1.149</td>
<td valign="top" align="center">0.073</td>
</tr>
<tr>
<td valign="top" align="left">ISSWM risk group</td>
<td valign="top" align="left">High vs. low/intermediate</td>
<td valign="top" align="center">1.059</td>
<td valign="top" colspan="2" align="center">0.409&#x2013;2.741</td>
<td valign="top" align="center">
<bold>0.014*</bold>
</td>
<td valign="top" align="center">3.805</td>
<td valign="top" align="center">0.699&#x2013;20.713</td>
<td valign="top" align="center">0.122</td>
</tr>
<tr>
<td valign="top" align="left">Immunoglobulin M</td>
<td valign="top" align="left">Low vs. high</td>
<td valign="top" align="center">1.219</td>
<td valign="top" colspan="2" align="center">0.513&#x2013;2.899</td>
<td valign="top" align="center">0.654</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Hemoglobin</td>
<td valign="top" align="left">&lt;115 vs. &#x2265;115</td>
<td valign="top" align="center">1.461</td>
<td valign="top" colspan="2" align="center">0.586&#x2013;3.641</td>
<td valign="top" align="center">0.416</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Platelet</td>
<td valign="top" align="left">&lt;100 vs. &#x2265;100</td>
<td valign="top" align="center">1.269</td>
<td valign="top" colspan="2" align="center">0.464&#x2013;3.468</td>
<td valign="top" align="center">0.643</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">LDH</td>
<td valign="top" align="left">&lt;222 vs. &#x2265;222</td>
<td valign="top" align="center">0.303</td>
<td valign="top" colspan="2" align="center">0.057&#x2013;1.602</td>
<td valign="top" align="center">0.160</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x3b2;2-MG</td>
<td valign="top" align="left">&lt;3 vs. &#x2265;3</td>
<td valign="top" align="center">1.218</td>
<td valign="top" colspan="2" align="center">0.501&#x2013;2.963</td>
<td valign="top" align="center">0.664</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Globulin</td>
<td valign="top" align="left">&lt;35 vs. &#x2265;35</td>
<td valign="top" align="center">0.642</td>
<td valign="top" colspan="2" align="center">0.192&#x2013;2.137</td>
<td valign="top" align="center">0.326</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">CRP</td>
<td valign="top" align="left">&lt;10 vs. &#x2265;10</td>
<td valign="top" align="center">1.043</td>
<td valign="top" colspan="2" align="center">0.408&#x2013;2.669</td>
<td valign="top" align="center">0.930</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">FT3</td>
<td valign="top" align="left">&lt;3.1 vs. &#x2265;3.1</td>
<td valign="top" align="center">0.947</td>
<td valign="top" colspan="2" align="center">0.252&#x2013;3.554</td>
<td valign="top" align="center">0.935</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">FT4</td>
<td valign="top" align="left">&lt;12 vs. &#x2265;12</td>
<td valign="top" align="center">1.007</td>
<td valign="top" colspan="2" align="center">0.201&#x2013;5.032</td>
<td valign="top" align="center">0.993</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">TSH</td>
<td valign="top" align="left">&lt;4.2 vs. &#x2265;4.2</td>
<td valign="top" align="center">4.254</td>
<td valign="top" colspan="2" align="center">0.258&#x2013;4.254</td>
<td valign="top" align="center">0.948</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">Thyroid complications</td>
<td valign="top" align="left">Absent vs. present</td>
<td valign="top" align="center">0.229</td>
<td valign="top" colspan="2" align="center">0.106&#x2013;0.491</td>
<td valign="top" align="center">
<bold>0.001***</bold>
</td>
<td valign="top" align="center">0.226</td>
<td valign="top" align="center">0.084&#x2013;0.608</td>
<td valign="top" align="center">
<bold>0.03*</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">MYD88 L265P</td>
<td valign="top" align="left">Mutated vs. unmutated</td>
<td valign="top" align="center">0.498</td>
<td valign="top" colspan="2" align="center">0.130&#x2013;1.913</td>
<td valign="top" align="center">0.310</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>LDH, lactate dehydrogenase; &#x3b2;2-MG, &#x3b2;2-microglobulin; CRP, C-reactive protein; TSH, thyroid-stimulating hormone.</p>
</fn>
<fn>
<p>*p &lt; 0.05, ***p &lt; 0.001; Bold values mean statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<title>Subgroup Analyses in Different Clinical Stages of Thyroid Dysfunction and ISSWM Score</title>
<p>Among the WM/LPL patients enrolled in our study, 8 cases were diagnosed as hypothyroidism, the most common of thyroid complications. The remaining 93 cases without thyroid complications were categorized into two subgroups: subclinical hypothyroidism and normal thyroid function parameters. The diagnosis of subclinical hypothyroidism was based on thyroid function testing: raised serum TSH concentrations and normal serum thyroid hormone concentrations (<xref ref-type="bibr" rid="B37">37</xref>). As shown in <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A, B</bold>
</xref>, a significant difference in PFS and OS was identified among the three subgroups, with the <italic>p</italic>-value around 0.001 in PFS and 0.01 in OS (log-rank test across all three groups).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Hypothyroidism and subclinical hypothyroidism in relation to WM/LPL survival. <bold>(A)</bold> Kaplan&#x2013;Meier curves of PFS stratified by hypothyroidism, subclinical hypothyroidism, and without hypothyroidism. <bold>(B)</bold> Kaplan&#x2013;Meier curves of OS stratified by hypothyroidism, subclinical hypothyroidism, and without hypothyroidism. <bold>(C)</bold> Kaplan&#x2013;Meier curves of PFS stratified by hypothyroidism, subclinical hypothyroidism, and without hypothyroidism in low-intermediate risk group. <bold>(D)</bold> Kaplan&#x2013;Meier curves of OS stratified by hypothyroidism, subclinical hypothyroidism, and without hypothyroidism in low-intermediate risk group. <bold>(E)</bold> Kaplan&#x2013;Meier curves of PFS stratified by hypothyroidism, subclinical hypothyroidism, and without hypothyroidism in high-risk group. <bold>(F)</bold> Kaplan&#x2013;Meier curves of OS survival stratified by hypothyroidism, subclinical hypothyroidism, and without hypothyroidism in high-risk group.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-870258-g002.tif"/>
</fig>
<p>As mentioned above, thyroid complications were significantly related to ISSWM score (<italic>p</italic> = 0.014). Therefore, we constructed the subgroup survival analysis for different ISSWM risk groups in WM/LPL patients. According to ISSWM, the entire cohort was divided into two risk grades: a low&#x2013;intermediate-risk group (ISSWM 0-2) and a high-risk group (ISSWM 3-5). In the low&#x2013;intermediate-risk group (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C, D</bold>
</xref>), hypothyroidism and subclinical hypothyroidism patients were more likely to have an evidently shorter PFS (<italic>p</italic> = 0.01) compared with those patients without hypothyroidism, while no significant difference in OS (<italic>p</italic> = 0.06) was identified among the three subgroups. Subsequently, an evident survival difference was observed between patients with subclinical hypothyroidism and those without hypothyroidism in the early stage of WM/LPL. On the other hand, regardless of OS or PFS, there was no significance between the high-risk stage patients with subclinical hypothyroidism and those without hypothyroidism, while the high-risk stage patients with hypothyroidism were more likely to have evidently shorter PFS (<italic>p</italic> &lt; 0.01) and OS (<italic>p</italic> &lt; 0.05) (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2E, F</bold>
</xref>). These results indicate that hypothyroidism and subclinical hypothyroidism may have diverse outcomes at different stages of the patients, and WM/LPL patients with subclinical hypothyroidism should be given equal concern as those with hypothyroidism at the early ISSWM stage since they might share an undesirable survival outcome.</p>
</sec>
<sec id="s3_6">
<title>Th-ISS, a Better Prognostic Index for WM/LPL</title>
<p>Multivariate analysis showed that thyroid complications were the prognostic factor that independently predicted worse PFS in WM/LPL patients. Thus, adding the criterion of thyroid complications to ISSWM might improve its predictive capacity. Accordingly, a novel prognostic index (Th-ISS) can be generated by the sum of adding one point for thyroid complications to the original ISSWM. Considering the negative association between IgM levels and thyroid complications, thyroid complications concurrent with IgM &#x2264; 30 g/L will add two points to the original ISSWM. As a result, the Th-ISS index demonstrated a statistically significantly larger AUC compared with ISSWM alone in PFS evaluation (Th-ISS, AUC: 0.779, SE: 0.055, 95% CI: 0.667&#x2013;0.867; ISSWM, AUC: 0.736, SE: 0.060, 95% CI: 0.620&#x2013;0.831; <italic>p</italic> = 0.04) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). However, there is no evident significance in OS evaluation (Th-ISS, AUC: 0.733, SE: 0.091, 95% CI: 0.618&#x2013;0.829; ISSWM, AUC: 0.652, SE: 0.087, 95% CI: 0.534&#x2013;0.759; <italic>p</italic> = 0.12) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>An extended ISSWM score based on thyroid complications. <bold>(A, B)</bold> The areas under the curve (AUC) comparison between prognostic index including thyroid complications alone, ISSWM, and combination (ISSWM) for PFS and OS prediction. <bold>(C, D)</bold> Kaplan&#x2013;Meier curves of PFS and OS for different ISSWM risk grades. <bold>(E, F)</bold> Kaplan&#x2013;Meier curves of PFS and OS for different Th-ISS risk grades.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-870258-g003.tif"/>
</fig>
<p>To further validate and confirm the prognostic capacity of Th-ISS, we firstly divided the cohort into two risk groups based on the original ISSWM: a low-intermediate risk group (ISSWM 0-2) and a high-risk group (ISSWM 3-5) (<xref ref-type="fig" rid="f3">
<bold>Figures 3C, 3D</bold>
</xref>). However, only the PFS differed significantly among all risk groups according to ISSWM. For comparison, we next split the entire cohort into different risk grades based on the Th-ISS: a low-intermediate risk group (Th-ISS 0-3) and a high-risk group (Th-ISS 4-7). The PFS and OS differed significantly among all risk groups (p&lt;0.001 and p&lt;0.01, respectively) (<xref ref-type="fig" rid="f3">
<bold>Figures 3E, F</bold>
</xref>). In pairwise comparison, an evident difference between OS and PFS was found between every pair of subgroups categorized by Th-ISS. Patients with high risk (Th-ISS 4-7) had worse survival. Thus, in conclusion, thyroid complications together with ISSWM can significantly differentiate each risk group from one another and improve the risk stratification of ISSWM.</p>
</sec>
<sec id="s3_7">
<title>Analyses of Thyroid-Related Genes in WM/LPL Patients</title>
<p>The above findings prompted us to further investigate the role of thyroid-related genes in WM/LPL patients. To make it easier to demonstrate the interplay between thyroid-related genes and critical factors in WM/LPL, including MYD88 and CXCR4, we constructed a network of interactions among the genes (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). After that, the significance of the interaction was assessed by the Pearson correlation coefficient. As shown in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>, the ordinate in the figure represents the expression distribution of MYD88 and CXCR4, and the horizontal axis represents the expression distribution of thyroid-related genes. Different colors represent correlation coefficients (in the diagram, red represents positive correlation and blue represents negative correlation). Color intensity indicates statistical significance. Statistically significant correlations between MYD88, CXCR4, and thyroid-related genes are shown in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Correlation analyses and differential gene expression analyses between the WM/LPL and healthy donors. <bold>(A)</bold> Network diagrams of correlation for MYD88 and CXCR4 with thyroid-related genes in the WM/LPL patients. <bold>(B)</bold> A heat map of the correlation between MYD88, CXCR4, and thyroid-related genes. <bold>(C)</bold> Spearman correlation analysis of MYD88 and CXCR4 gene expression and thyroid-related genes (DUOX2, NKX2-5, TBL1X, TSHR, THRA, and TPO) expression. <bold>(D)</bold> Hierarchical clustering analysis of thyroid-related mRNAs between WM/LPL and healthy donors. <bold>(E)</bold> Volcano plots were constructed using fold-change values and adjusted <italic>p</italic>. The red point in the plot represents the over-expressed mRNAs and the blue point indicates the under-expressed mRNAs with statistical significance. <bold>(F)</bold> The enriched KEGG signaling pathways and GO analysis were selected to demonstrate the primary biological actions of thyroid-related mRNA. <bold>(G)</bold> The expression distribution of thyroid-related mRNA in WM/LPL and control groups. Asterisks represent levels of significance (*<italic>p</italic> &lt; 0.05, **<italic>p</italic> &lt; 0.01, ***<italic>p</italic> &lt; 0.001).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-870258-g004.tif"/>
</fig>
<p>Subsequently, differential gene expression analysis between the WM/LPL and healthy donors was assessed. As shown in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>, a hierarchical cluster analysis was performed on differentially expressed genes between WM/LPL patients and healthy donors. We then constructed volcano plots using fold-change values and adjusted <italic>p</italic>. The red point in the plot represents the over-expressed mRNAs and the blue point indicates the under-expressed mRNAs with statistical significance. Thyroid-related genes with statistical significance were annotated in the graph (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>). Functional enrichment analysis of thyroid-related gene expression in WM/LPL microarray profiles was performed. Gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis indicated that thyroid-related gene was involved in response to peptide hormone and the PI3K-Akt signaling pathway (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4F</bold>
</xref>). The expression of thyroid-related genes between WM/LPL patients and healthy donors was shown using a box-violin plot. Five of them reached statistical significance, and one (TBL1X) reached marginal significance (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4G</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Thyroid dysfunction has been found to be associated with prognosis in a wide array of morbidities, including cardiovascular disease, chronic kidney disease, and several forms of cancer. To our knowledge, this is the first study that provides evidence of thyroid complications as a strong indicator of poor prognosis among patients with WM/LPL. WM/LPL patients with thyroid complications showed undesirable treatment responses, which suggested a more aggressive therapeutic approach for these patients. An extended prognostic system of ISSWM based on thyroid complications was established and improved the risk stratification of ISSWM. In addition, significant correlations between thyroid complications and unfavorable clinical characteristics were identified, highlighting the necessity of closer monitoring of WM/LPL patients with thyroid function abnormalities.</p>
<p>In the last two decades, thyroid dysfunction has been reported to be highly prevalent in critically ill patients, including respiratory failure, severe trauma, end-stage renal disease, and acute stroke (<xref ref-type="bibr" rid="B38">38</xref>&#x2013;<xref ref-type="bibr" rid="B42">42</xref>). For the presence of thyroid dysfunction in malignancies, it was reported that low T3 syndrome was common in patients with brain tumors and lung cancer (<xref ref-type="bibr" rid="B43">43</xref>&#x2013;<xref ref-type="bibr" rid="B45">45</xref>). Patients with plasma cell dyscrasias seem to be at an increased risk of thyroid cancer (<xref ref-type="bibr" rid="B46">46</xref>). We also found a high incidence (13.3%) of thyroid complications among 106 WM/LPL patients enrolled in our study, which ranks as the third most common complication. Trimarchi et&#xa0;al. reported an abnormal binding of thyroid hormones in the gamma-globulin fraction in a 68-year-old patient with WM (<xref ref-type="bibr" rid="B47">47</xref>). Consistently, we found a significant correlation between thyroid function abnormalities and alleviated serum IgM levels. The correlation between thyroid-related genes and WM/LPL was further supported by bioinformatics results. Thus, we speculate that the reduced IgM might arise from the abnormal binding of thyroid hormones and IgM. High IgM levels are one of the most striking features of patients with WM, but the serum IgM levels may vary when thyroid disease is present. However, the relationship between thyroid function parameters and IgM remains unclear due to the limited available data. Although the pathophysiological mechanism was ambiguous, the negative association between thyroid complications and immunoglobulins still suggested that immunoglobulin treatment should be used with caution for those with thyroid complications.</p>
<p>The associations among thyroid dysfunction, inflammatory state, malnutrition, and anemia were depicted by Fan et&#xa0;al., suggesting the positive correlation between thyroid dysfunction and anemia (hemoglobin) as well as protein-energy nutrition (serum albumin), and the negative correlation between serum T3 and inflammation (C-reactive protein) (<xref ref-type="bibr" rid="B48">48</xref>). In agreement with these findings, serum IgM was closely correlated with anemia parameters and LDH. &#x3b2;2-MG was observed to be involved in the presence of thyroid complications in this study, suggesting an abnormal inflammatory state in WM/LPL patients with thyroid complications.</p>
<p>Prior epidemiological studies have shown that thyroid hormone dysfunction is an independent prognostic factor for poor survival in patients with severe burns, sepsis, acute cerebrovascular disease, chronic heart failure, end-stage renal disease, and hemodialysis (<xref ref-type="bibr" rid="B49">49</xref>&#x2013;<xref ref-type="bibr" rid="B52">52</xref>). However, the role of thyroid complications in cancer prognosis has only been well-analyzed in glioma and lung cancer as a predictor of unfavorable clinical prognosis. As an independent risk factor for PFS in WM/LPL patients, thyroid complications were demonstrated in our study. Based on these findings, the thyroid complications were then combined with the ISSWM score as the extended prognosis score, which showed a better risk stratification. Our findings suggested that hypothyroidism was associated with worse PFS and OS in WM/LPL patients, especially those patients at high-risk stage, and subclinical hypothyroidism in early-stage patients should be given more attention. It was also observed that patients with thyroid complications had the worst treatment response. Since the biological mechanism of this association is not yet clear, thyroid complications can be interpreted as a risk factor for increased mortality, rather than a direct cause of poor prognosis in WM/LPL. Intriguingly, the prognostic value of IgM was not observed in either treatment response or survival. The same result was reported in a nationwide prospective Swedish registry-based study of WM (<xref ref-type="bibr" rid="B53">53</xref>). However, incorporating thyroid complications and IgM &#x2264; 30 g/L into the same prognostic system significantly improved the prediction performance. This interesting observation could explain why some patients with relatively low IgM levels refer to unfavorable survival. Relevant studies have shown that the thyroid is more susceptible to autoimmunity than other organs; thus, thyroid complications have been considered to be manifestations of autoimmunity problems (<xref ref-type="bibr" rid="B27">27</xref>). IgM &#x2264; 30 g/L co-existing with thyroid complications indicates an abnormal immune state in WM/LPL patients.</p>
<p>Previous studies have reported the potential correlation between anti-CD20 treatment and thyroid complications in B-cell lymphoma. Thyroid dysfunction has been identified as the third most common low-grade adverse event, accounting for 27% in a clinical trial of pembrolizumab in combination with rituximab in follicular lymphoma (<xref ref-type="bibr" rid="B54">54</xref>). Another case of thyroid diffuse large B-cell lymphoma was diagnosed as Graves&#x2019; disease following R-CHOP treatment (<xref ref-type="bibr" rid="B55">55</xref>). Along with this observation, one person was also diagnosed with Graves&#x2019; disease following anti-CD20 treatment in our data. However, it accounted for 4.3% of the 23 WM/LPL patients after anti-CD20 treatment. The association between thyroid complications and the anti-CD20 regimen was not significant. Thus, based on the current evidence, it is unclear whether the thyroid complications originate from anti-CD20 treatment. Further large-sample multicenter studies with a statistical perspective are suggested to demonstrate the potential link between thyroid complications and anti-CD20 treatment.</p>
<p>In addition, there were still several limitations in our study. This investigation was limited by the cross-sectional research design; a prospective design collecting data on the same participants would likely yield results more specific to the effect of thyroid complications. An additional limitation of the study was the small sample size within one institution. There could be unknown imbalances between with and without thyroid complication cohorts that could cause bias. Finally, the pathophysiologic correlation between thyroid complications and monoclonal immunoglobulin is not fully elucidated, which requires further experiments to investigate the underlying mechanisms.</p>
<p>In conclusion, thyroid complications were significantly correlated with serum IgM levels in WM/LPL patients. Those patients showed worse clinical characteristics, and unfavorable PFS and OS. Furthermore, the presence of thyroid complications retained independent prognostic significance for PFS. Extended prognostic index with thyroid complications as an additional point to ISSWM showed improved predictive performance and risk stratification. Future longitudinal studies with a longer follow-up and larger sample sizes are warranted to verify the role of thyroid hormones in a WM/LPL population.</p>
</sec>
<sec id="s5" 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 authors.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Research Ethics Committee of the Shandong Provincial Hospital. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author Contributions</title>
<p>XW and YZ conceived the paper and edited the manuscript. XH and HW analyzed the data and wrote the first draft of the manuscript. HX, XL, and YL collected the data. XHW, NW, DY, and HQ performed the statistical analyses. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This study was funded by the National Natural Science Foundation (No. 82000195, No. 82070203, and No.81770210), the Key Research and Development Program of Shandong Province (No. 2018CXGC1213), the Translational Research Grant of NCRCH (No. 2021WWB02 and No. 2020ZKMB01), the Taishan Scholars Program of Shandong Province, the Shandong Provincial Natural Science Foundation (No. ZR2020QH094), the Shandong Provincial Engineering Research Center of Lymphoma, the Technology Development Project of Jinan City (No. 202019182), the Academic Promotion Programme of Shandong First Medical University (No. 2019QL018 and No. 2020RC007), and the Shandong Provincial Hospital Youth Talent Plan.</p>
</sec>
<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>
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