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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.2022.871792</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>Indoleamine 2,3-Dioxygenase Immune Status as a Potential Biomarker of Radioiodine Efficacy for Advanced Distant Metastatic Differentiated Thyroid Cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Liang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1670349"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Duan</surname>
<given-names>Rui</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>Jia</surname>
<given-names>Qiong</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wu</surname>
<given-names>Wenyu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhou</surname>
<given-names>Jianming</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Shaohua</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhang</surname>
<given-names>Hao</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Xue</surname>
<given-names>Xue</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1833717"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Nuclear Medicine, Nanjing First Hospital, Nanjing Medical University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Neurology, Nanjing First Hospital, Nanjing Medical University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Oncology, Nanjing First Hospital, Nanjing Medical University</institution>, <addr-line>Nanjing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Nuclear Medicine, Affiliated Hospital of Jiangsu University</institution>, <addr-line>Zhenjiang</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Emergency, Affiliated Hospital of Jiangsu University</institution>, <addr-line>Zhenjiang</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Gianlorenzo Dionigi, University of Milan, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Asif Loya, Shaukat Khanum Memorial Cancer Hospital and Research Center, Pakistan; Xuefeng Wang, Jiangsu University, China; Weijun Wei, Shanghai Jiao Tong University, China; Jifeng Zhu, Nanjing Medical University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Xue Xue, <email xlink:href="mailto:xuexue@njmu.edu.cn">xuexue@njmu.edu.cn</email>; Hao Zhang, <email xlink:href="mailto:zhanghao6677@aliyun.com">zhanghao6677@aliyun.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work and share first authorship</p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Head and Neck Cancer, a section of the journal Frontiers in Oncology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>07</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>12</volume>
<elocation-id>871792</elocation-id>
<history>
<date date-type="received">
<day>08</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>06</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Shi, Duan, Jia, Wu, Zhou, Li, Zhang and Xue</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Shi, Duan, Jia, Wu, Zhou, Li, Zhang and Xue</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>Purpose</title>
<p>Host immunity influences the impact of cancer therapy but the effect of immune status in radioiodine (RAI)-treated differentiated thyroid cancer (DTC) remains obscure. Here we investigated indoleamine 2,3-dioxygenase (IDO) activity as a biomarker of response to RAI in patients with distant metastatic DTC (dmDTC).</p>
</sec>
<sec>
<title>Methods</title>
<p>Patients with dmDTC receiving RAI were evaluated for serum IDO activity (kynurenine and kynurenine:tryptophan ratio) at baseline and 3 months after RAI. The optimal cut-off value for these biomarkers to predict response was established by receiver operating characteristic analysis. The relationship between disease outcomes, overall survival (OS) and progression-free survival (PFS), and IDO activity levels was studied.</p>
</sec>
<sec>
<title>Results</title>
<p>Higher baseline kynurenine:tryptophan ratio (&gt;2.46) was correlated with poorer RAI response as well as shorter median PFS (45 mo versus not reached, <italic>p</italic>=0.002) and OS (78 mo versus not reached, <italic>p</italic>=0.035). High baseline kynurenine:tryptophan ratio was also correlated with a reduced number of tumor-infiltrating lymphocytes. Higher post/pre-kynurenine ratio (&gt;1.69) was associated with survival endpoints: shorter median PFS (48 mo versus not reached, <italic>p</italic>=0.002) and OS (68 mo versus not reached, <italic>p</italic>=0.010). Favorable baseline and favorable change corresponded with better PFS and OS.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Our results suggest that RAI also alters IDO activity in dmDTC patients. IDO activity could predict progression and survival outcomes for advanced dmDTC patients. Serum IDO biomarker levels could be used to select dmDTC likely to benefit from RAI therapy, although further studies are necessary.</p>
</sec>
</abstract>
<kwd-group>
<kwd>differentiated thyroid cancer</kwd>
<kwd>radioiodine</kwd>
<kwd>indoleamine 2</kwd>
<kwd>3-dioxygenase (IDO)</kwd>
<kwd>immune suppression</kwd>
<kwd>predictive factors</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="47"/>
<page-count count="11"/>
<word-count count="5183"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Differentiated thyroid cancer (DTC) is the most common histological and least-aggressive type of thyroid cancer (<xref ref-type="bibr" rid="B1">1</xref>). However, 10%&#x2013;20% of DTC patients develop distant metastatic disease, which is the most frequent cause of disease-specific death (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Distant metastatic DTC (dmDTC) patients require radioiodine (RAI) therapy at least once during their disease course. Although some patients with iodine-avid distant metastases may benefit from RAI therapy, this therapy is rarely curative (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>RAI has been reported to activate the host immune system by reducing the secretion of Th2 cytokines [interleukin (IL)-4, IL-5, and IL-13] which might lead to tumor immune escape (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Therefore, in addition to direct DNA damage and tumor cell death, RAI might enhance antitumor immunity by those immunomodulatory factors in the tumor microenvironment (TME) (<xref ref-type="bibr" rid="B7">7</xref>). On the contrary, multiple immune suppressive factors are also activated by radiotherapy which results in aggressive and radiotherapy-resistant tumors with a poor clinical outcome (<xref ref-type="bibr" rid="B8">8</xref>). However, the relationship between RAI and blood biomarkers of immune function is not well understood.</p>
<p>Indoleamine-2,3-dioxygenase (IDO) is an intercellular enzyme that catalyzes conversion of tryptophan into kynurenine (<xref ref-type="bibr" rid="B9">9</xref>). IDO is expressed in a variety of different malignancies, and currently known as a cancer-related immunosuppressor (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>). IDO inhibits T cells by tryptophan depletion in the TME, which activates the amino acid&#x2013;sensitive general control nonderepressible 2 stress-kinase pathway and causes cell cycle arrest and anergy induction in responding T cells (<xref ref-type="bibr" rid="B12">12</xref>). On the other hand, kynurenine, the product of IDO, enters natural killer (NK) cells <italic>via</italic> the aryl hydrocarbon receptor on the surface of NK cells. Kynurenine then decreases NK cells cytotoxicity in TME by inhibiting expression of NK-activating receptors, such as natural killer group 2D and NKp46, <italic>via</italic> signal transducer and activator of transcription (STAT)1 and STAT3 pathways (<xref ref-type="bibr" rid="B13">13</xref>). Furthermore, kynurenine and its downstream metabolites promote potent tumor immunosuppression <italic>via</italic> activation or differentiation of regulatory T (Treg) cells and effector T cells (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). High IDO expression is associated with poor clinical outcome in diverse types of solid tumors, including thyroid cancer (<xref ref-type="bibr" rid="B16">16</xref>, <xref ref-type="bibr" rid="B17">17</xref>). However, details of IDO activity in DTC have not been fully explored. The role of IDO activity as a biomarker for treatment outcomes and the prognostic significance in dmDTC treated with RAI remains unknown.</p>
<p>In this study, we evaluated the association between blood IDO activity levels and clinical benefit in advanced dmDTC patients treated with RAI. We examined differences in IDO biomarkers, including serum kynurenine and the kynurenine:tryptophan (K/T) ratio, before and 3 months after RAI. We then investigated whether IDO dynamics could represent a potential predictive biomarker for response to RAI. In addition, the association between circulating levels of IDO and overall survival (OS) and progression-free survival (PFS) in patients with dmDTC was studied.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s2_1">
<title>Patients and Treatment</title>
<p>Patients with advanced dmDTC who received RAI therapy between January 2010 and June 2020 were identified from routine patient documentation at the Department of Nuclear Medicine, Nanjing First Hospital or the Affiliated Hospital of Jiangsu University. All patients signed a written informed consent prior to blood sampling according to the Declaration of Helsinki. This retrospective study was approved by the Institutional Ethics Committees of Nanjing First Hospital and the Affiliated Hospital of Jiangsu University. Baseline fasting blood samples and clinical characteristics of all dmDTC patients were obtained at the time of initial presentation at the hospital for the first cycle of RAI treatment.</p>
</sec>
<sec id="s2_2">
<title>Therapeutic Approach and Follow-Up</title>
<p>All patients withdrew levothyroxine and began a low-iodine diet for 3&#x2013;4 weeks before <sup>131</sup>I treatment (thyroid-stimulating hormone reached 85.03 &#xb1; 35.37 uIU/mL). The first dose of oral <sup>131</sup>I was 150&#x2013;250 mCi (5.55&#x2013;9.25 GBq). <sup>131</sup>I whole body scan (WBS) was performed 4 days later. Patients with no <sup>131</sup>I avid metastasis would be excluded. RAI therapy was repeated if the patient benefited from it, until complete remission or <sup>131</sup>I inavidity on WBS. The treatment interval varied from 6 to 12 months, and the treatment was repeated for 2&#x2013;8 cycles. The cumulative activity of <sup>131</sup>I ranged from 11.1 to 57.35 GBq. The follow-up period was 1&#x2013;11 years with a median of 64 months. Patients were examined 1 month after RAI, and followed up approximately every 3 months during the first year, and every 6 months from the second year thereafter. Post-RAI fasting blood samples of patients were collected at 3 months after the first cycle of RAI.</p>
</sec>
<sec id="s2_3">
<title>Efficacy Evaluation</title>
<p>Response to RAI was defined according to the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. Responders were defined as patients with partial and complete responses, and non-responders were patients who had stable or progressive disease. If the patient had no measurable lesions, the response evaluation was based on thyroglobulin (Tg), a DTC tumor biomarker when antithyroglobulin&#xa0;antibody&#xa0;was negative. Compared with pretreatment, patients with a reduction of &gt;25% in Tg levels were considered responders.</p>
</sec>
<sec id="s2_4">
<title>Immunohistochemistry</title>
<p>DTC samples were obtained from surgical patients who provided signed informed consent at Nanjing First Hospital, Nanjing, China and Affiliated Hospital of Jiangsu University, Zhenjiang, China. Immunohistochemistry was performed as described previously (<xref ref-type="bibr" rid="B18">18</xref>). For immunohistochemistry, a mouse monoclonal anti-CD3 (1: 500, BD&#xa0;Biosciences&#xa0;Pharmingen, San Diego, CA, United States) and a mouse monoclonal anti-CD8 (1:150, BD Biosciences&#xa0;Pharmingen) were used. CD3<sup>+</sup> and CD8<sup>+</sup> tumor-infiltrating lymphocytes (TILs) were counted in a microscopic field at &#xd7;200 in the three independent areas with the most abundant lymphocyte infiltration.</p>
</sec>
<sec id="s2_5">
<title>Measurements of Serum Tryptophan and Kynurenine</title>
<p>L-Tryptophan and L-kynurenine (Sigma, St. Louis, MO, USA) were used to construct standard curves. L-tryptophan-d5 and L-kynurenine-d4 (Cambridge Isotope Laboratories, Xenia, OH, USA) were used as internal standards. Tryptophan and kynurenine were measured using ultra-high-performance liquid chromatography (UPLC)&#x2013;tandem mass spectrometry (MS/MS) (ACQUITY UPLC I-Class/Xevo TQD IVD System, Waters, USA) as described previously (<xref ref-type="bibr" rid="B19">19</xref>). Then 400 &#x3bc;L&#x2002;internal standard working solution was added to 150 &#x3bc;L human serum and 150 &#x3bc;L acetonitrile. A series of calibration standard solutions contained a mixture of drug-free serum (150 &#x3bc;L), L-tryptophan/L-kynurenine (150 &#x3bc;L), and internal standard (400 &#x3bc;L) working solution. Then 400 &#x3bc;L supernatant was collected after centrifugation at 12&#xa0;000 rpm for 10&#xa0;min and evaporated to dryness in a vacuum centrifugal concentrator. The residual was dissolved by 120 &#x3bc;L 1.2% formic&#xa0;acid. The supernatant was collected after centrifugation at 12&#xa0;000 rpm for 5&#xa0;min and injected into the chromatographic system for further analysis.</p>
<p>Tryptophan and kynurenine were analyzed by multiple reaction monitoring mode of MS/MS in positive ion mode. The cone voltage was 15&#x2013;24 V, collision energy was 22&#x2013;35 eV and transitions were m/z 205.0&#x2192;118.0 for L-tryptophan, m/z 209.0&#x2192;145.98 for L-kynurenine, and m/z 210.03&#x2192;150.07 for L-tryptophan-d5, m/z 213.01&#x2192;98.01 for L-kynurenine-d4.</p>
</sec>
<sec id="s2_6">
<title>Statistical Analysis</title>
<p>PFS was defined as the time from the start of RAI to documented evidence of progression or death; OS was measured from the start of RAI to the date of death from any cause. The association of IDO checkpoint with RAI treatment response and response rate was assessed by Mann&#x2013;Whitney U test or chi-square test. Differences between pre- and post-treatment IDO checkpoints were analyzed using a paired t-test. The cutoffs for the prediction of IDO significant biomarker variables were determined by receiver operating characteristic (ROC) curve analysis using response as an event. Kaplan&#x2013;Meier method and a log-rank test were applied to compare the survival difference between groups. Univariate analysis for progression and survival was performed by Cox proportional hazards regression model. Multivariate analysis by Cox proportional hazards regression model with 95% confidence interval (95% CI) was used to evaluate clinical variables with log-rank <italic>p</italic>&lt;0.05 under univariate analysis as covariants. All statistical analyses were performed with IBM SPSS Statistics version 23.0 (Armonk, NY, USA). Scatter plot figures were generated using GraphPad Prism version 8 (La Jolla, CA, USA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>Patient Characteristics</title>
<p>Of 182 dmDTC patients enrolled, 104 patients (70 female, 34 male) with good-quality samples available for IDO testing formed the primary study population. The age of these patients was 48.7 &#xb1; 11.5 years (range 8&#x2013;72 years). Distant metastasis as the initial evaluation of DTC was discovered in 25 cases (24.0%), and the diagnosis of distant metastasis was established during subsequent follow-up in 79 cases (76.0%). The median age at diagnosis of distant metastasis was 47 &#xb1; 11 years (range, 8&#x2013;70 years). Sixty-five patients were at least 45 years old and 39 were &lt;45 years old at the time of diagnosis. The distribution of pathological types of DTC was as follows: papillary thyroid carcinoma (PTC) in 74 patients (71.2%) and follicular thyroid carcinoma in 30 patients (28.8%). Fifty-five (52.9%) cases had only lung metastasis; 24 (23.1%) only bone metastasis; and 25 (24.0%) either combined lung and bone or other site metastases. Among other site metastases, four patients had mediastinal metastasis, two pleural metastasis, and one liver metastasis. Symptoms or events (like fractures) associated with any-site metastases occurred in 25 cases. <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref> shows the demographic and clinical features of the patients.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Comparison of Overall Survival and Progression Free Survival Based on Clinical Characteristics of dmDTC Patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Patients (n)</th>
<th valign="top" colspan="3" align="center">Overall Survival</th>
<th valign="top" colspan="3" align="center">Progression Free Survival</th>
</tr>
<tr>
<th valign="top" align="left">
</th>
<th valign="top" align="center">
</th>
<th valign="top" align="center">Hazard&#xa0;Ratio</th>
<th valign="top" align="center">(95% CI)</th>
<th valign="top" align="center">P-value</th>
<th valign="top" align="center">Hazard&#xa0;Ratio</th>
<th valign="top" align="center">(95% CI)</th>
<th valign="top" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="8" align="left">
<bold>Age at diagnosis (years)</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;45</td>
<td valign="top" align="center">39</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<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;&#x2265;45</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">3.45</td>
<td valign="top" align="center">(1.18-10.07)</td>
<td valign="top" align="center">0.023</td>
<td valign="top" align="center">2.06</td>
<td valign="top" align="center">(1.06&#x2013;4.03)</td>
<td valign="top" align="center">0.034</td>
</tr>
<tr>
<td valign="top" colspan="8" align="left">
<bold>Gender</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Female</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<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">34</td>
<td valign="top" align="center">1.35</td>
<td valign="top" align="center">(0.58&#x2013;3.13)</td>
<td valign="top" align="center">0.491</td>
<td valign="top" align="center">1.12</td>
<td valign="top" align="center">(0.57&#x2013;2.18)</td>
<td valign="top" align="center">0.745</td>
</tr>
<tr>
<td valign="top" colspan="8" align="left">
<bold>Extent of metastases</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Lung only</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.042</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.049</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Bone only</td>
<td valign="top" align="center">24</td>
<td valign="top" align="center">1.48</td>
<td valign="top" align="center">(0.48&#x2013;4.54)</td>
<td valign="top" align="center">0.491</td>
<td valign="top" align="center">1.09</td>
<td valign="top" align="center">(0.50&#x2013;12.38)</td>
<td valign="top" align="center">0.832</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Combined and other sites</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">3.09</td>
<td valign="top" align="center">(1.26&#x2013;7.58)</td>
<td valign="top" align="center">0.014</td>
<td valign="top" align="center">2.24</td>
<td valign="top" align="center">(1.13&#x2013;4.43)</td>
<td valign="top" align="center">0.021</td>
</tr>
<tr>
<td valign="top" colspan="8" align="left">
<bold>First presentation</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">79</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<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;Yes</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">2.76</td>
<td valign="top" align="center">(1.25&#x2013;6.10)</td>
<td valign="top" align="center">0.012</td>
<td valign="top" align="center">1.69</td>
<td valign="top" align="center">(0.90&#x2013;3.17)</td>
<td valign="top" align="center">0.101</td>
</tr>
<tr>
<td valign="top" colspan="8" align="left">
<bold>Histologic type</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;PTC</td>
<td valign="top" align="center">74</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<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;FTC</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">2.59</td>
<td valign="top" align="center">(1.18&#x2013;5.70)</td>
<td valign="top" align="center">0.018</td>
<td valign="top" align="center">2.35</td>
<td valign="top" align="center">(1.25&#x2013;4.35)</td>
<td valign="top" align="center">0.008</td>
</tr>
<tr>
<td valign="top" colspan="8" align="left">
<bold>Symptoms or events</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">79</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<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;Yes</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">1.35</td>
<td valign="top" align="center">(0.67&#x2013;3.23)</td>
<td valign="top" align="center">0.34</td>
<td valign="top" align="center">1.67</td>
<td valign="top" align="center">(0.92&#x2013;3.06)</td>
<td valign="top" align="center">0.094</td>
</tr>
<tr>
<td valign="top" colspan="8" align="left">
<bold>T stage</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;1-2</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<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;3-4</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">1.36</td>
<td valign="top" align="center">(0.62&#x2013;2.99)</td>
<td valign="top" align="center">0.45</td>
<td valign="top" align="center">1.17</td>
<td valign="top" align="center">(0.64&#x2013;2.13)</td>
<td valign="top" align="center">0.607</td>
</tr>
<tr>
<td valign="top" colspan="8" align="left">
<bold>Positive lymphatic invasion</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center">38</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<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;Yes</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">1.03</td>
<td valign="top" align="center">(0.46&#x2013;2.31)</td>
<td valign="top" align="center">0.94</td>
<td valign="top" align="center">0.59</td>
<td valign="top" align="center">(0.31&#x2013;1.14)</td>
<td valign="top" align="center">0.115</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CI, confidence interval; PTC, papillary&#xa0;thyroid&#xa0;carcinoma; FTC, follicular thyroid carcinoma.&#xa0;</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Prognostic Clinical Factors and Overall Outcomes</title>
<p>Median follow-up time was 64 (95% CI, 56&#x2013;72) months for all patients. The median PFS was 61 (95% CI, 47&#x2013;75) months. Univariate analysis showed that the age of onset for distant metastases (<italic>p</italic>=0.023), pathological type (<italic>p</italic>=0.018), extent of metastases (<italic>p</italic>=0.042), whether the distant metastases were the first presentation of DTC (<italic>p</italic>=0.012), were significant risk factors for OS. Patients with younger age at diagnosis, PTC, noncombined site of distant metastasis, and discovery of distant metastases during follow-up had better OS than patients with older age at diagnosis, follicular thyroid carcinoma, combined sites of distant metastases, and discovery of distant metastases at diagnosis or before surgery. However, only age (<italic>p</italic>=0.034), extent of metastases (<italic>p</italic>=0.049), and pathological type (<italic>p</italic>=0.008) were significant for PFS (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). These clinical parameters were thus selected as associated covariants for further multivariate analysis of IDO checkpoint biomarkers.</p>
</sec>
<sec id="s3_3">
<title>Dynamics of Kynurenine and K/T Ratio at Baseline and Post-RAI</title>
<p>Serum kynurenine and K/T ratio fluctuated at two time points before and after RAI (<xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1A, B</bold>
</xref>). The mean kynurenine concentrations increased after RAI. The K/T ratio post-RAI was also significantly higher than that pre-RAI.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Changes of kynurenine concentrations <bold>(A)</bold> and the K/T ratios [Kynurenine (&#x3bc;M)/Tryptophan(&#x3bc;M) x 10<sup>2</sup>] <bold>(B)</bold> in serum samples at pre-RAI and post-RAI time points.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-871792-g001.tif"/>
</fig>
</sec>
<sec id="s3_4">
<title>Baseline IDO Biomarkers and Outcomes</title>
<p>The kynurenine levels at baseline did not differ between responders and non-responders. Baseline K/T ratio had a trend to be lower in responders than in non-responders [median 2.15 (range 1.10&#x2013;3.50) vs. 3.10 (1.14&#x2013;5.09) (<italic>p</italic>&lt;0.001)] (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Using the ROC curve to determine the best value of baseline K/T ratio to predict response, we identified &#x2264;2.46 (area under the curve 0.797, 95% CI 0.703&#x2013;0.891, <italic>p</italic>&lt;0.001) as the cutoff point that combined maximal sensitivity (65.9%) with best specificity (79.4%) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Adopting the ROC-derived threshold, 63 (60.6%) patients were classified as having low baseline K/T ratio, while 41 (39.4%) were categorized as having high baseline K/T ratio. Response rate was significantly lower in patients with high compared with low baseline K/T ratio (13.5 vs. 47.1%, odds ratio 0.148, 95% CI 0.062&#x2013;0.356, <italic>p</italic>&lt;0.001) (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). No correlation was found between baseline K/T ratio and tumor histological type. The tumors in patients with high baseline K/T ratio showed significantly lower CD3<sup>+</sup> and CD8<sup>+</sup> TIL numbers compared to the tumors in patients with low baseline K/T ratio (CD3<sup>+</sup>TILs: 9.07 &#xb1; 4.43 vs. 13.22 &#xb1; 7.46, <italic>p</italic> = 0.002; CD8<sup>+</sup> TILs: 4.05 &#xb1; 2.26 vs. 6.29 &#xb1; 3.64, <italic>p</italic>=0.001) (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2C, D</bold>
</xref>; <xref ref-type="supplementary-material" rid="SF2">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). Patients with high baseline K/T ratio had shorter PFS than those with low baseline K/T ratio [45 months vs. not reached, hazard ratio (HR) 2.50, 95% CI 1.35&#x2013;4.63, <italic>p</italic>=0.002], and shorter median OS (78 months vs. not reached, HR 2.32, 95% CI 1.03&#x2013;5.19, <italic>p</italic>=0.035) (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2E, F</bold>
</xref>). In the multivariate Cox regression analysis, elevated baseline K/T ratio correlated significantly with worse OS (HR 5.32; 95% CI, 1.96&#x2013;14.44; <italic>p</italic>=0.001) and PFS (HR 3.75; 95% CI, 1.87&#x2013;7.54; <italic>p</italic>&lt;0.001) after adjusting for clinically significant factors (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Pre-RAI K/T ratio and treatment outcomes. <bold>(A)</bold> the pre-RAI K/T ratio according to the response to RAI treatment <bold>(B)</bold> ROC curve for pre-RAI K/T ratio in dmDTC patients <bold>(C)</bold> association of baseline K/T ratio with the number of CD3<sup>+</sup> TILs <bold>(D)</bold> association of baseline K/T ratio with the number of CD8<sup>+</sup> TILs <bold>(E)</bold> PFS curves of the dmDTC patients according to pre-RAI K/T ratio <bold>(F)</bold> OS curves of the dmDTC patients according to pre-RAI K/T ratio.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-871792-g002.tif"/>
</fig>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Multivariate Analyses of Factors Predicting Overall Survival and Progression Free Survival.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" colspan="3" align="center">Overall Survival</th>
<th valign="top" colspan="3" align="center">Progression Free Survival</th>
</tr>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Hazard&#xa0;Ratio</th>
<th valign="top" align="center">(95% CI)</th>
<th valign="top" align="center">P-value</th>
<th valign="top" align="center">Hazard&#xa0;Ratio</th>
<th valign="top" align="center">(95% CI)</th>
<th valign="top" align="center">P-value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" colspan="7" align="left">
<bold>Age at diagnosis (years)</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;&lt;45</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<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;&#x2265;45</td>
<td valign="top" align="center">3.51</td>
<td valign="top" align="center">(1.19&#x2013;10.35)</td>
<td valign="top" align="center">0.023</td>
<td valign="top" align="center">2.87</td>
<td valign="top" align="center">(1.42&#x2013;5.78)</td>
<td valign="top" align="center">0.003</td>
</tr>
<tr>
<td valign="top" colspan="7" align="left">
<bold>Extent of metastases</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Lung only</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.009</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">0.042</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Bone only</td>
<td valign="top" align="center">0.639</td>
<td valign="top" align="center">(0.20&#x2013;2.07)</td>
<td valign="top" align="center">0.491</td>
<td valign="top" align="center">0.69</td>
<td valign="top" align="center">(0.31&#x2013;1.56)</td>
<td valign="top" align="center">0.375</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Combined and other sites</td>
<td valign="top" align="center">3.73</td>
<td valign="top" align="center">(1.38&#x2013;10.09)</td>
<td valign="top" align="center">0.010</td>
<td valign="top" align="center">2.02</td>
<td valign="top" align="center">(1.00&#x2013;4.09)</td>
<td valign="top" align="center">0.050</td>
</tr>
<tr>
<td valign="top" colspan="7" align="left">
<bold>First presentation</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;No</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<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;Yes</td>
<td valign="top" align="center">2.92</td>
<td valign="top" align="center">(1.25&#x2013;6.81)</td>
<td valign="top" align="center">0.013</td>
<td valign="top" align="center">2.54</td>
<td valign="top" align="center">(1.30&#x2013;4.96)</td>
<td valign="top" align="center">0.007</td>
</tr>
<tr>
<td valign="top" colspan="7" align="left">
<bold>baseline K/T ratio</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<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;High</td>
<td valign="top" align="center">5.32</td>
<td valign="top" align="center">(1.96&#x2013;14.44)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">3.75</td>
<td valign="top" align="center">(1.87&#x2013;7.54)</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" colspan="7" align="left">
<bold>Post/pre-kynurenine ratio</bold>
</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003;Low</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center">&#x2013;</td>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
<td valign="top" align="center"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003;High</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">2.76</td>
<td valign="top" align="center">(1.34&#x2013;5.71)</td>
<td valign="top" align="center">0.006</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>CI, confidence interval; PTC, papillary&#xa0;thyroid&#xa0;carcinoma; FTC, follicular thyroid carcinoma</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<title>Post-RAI IDO Biomarkers and Outcomes</title>
<p>Neither the IDO biomarker (kynurenine or K/T ratio) levels post-RAI nor RAI-induced K/T ratio changes post-RAI differed between responders and non-responders. The RAI-induced post/pre-kynurenine ratio was significantly higher in non-responders compared with responders [median 1.95 &#x3bc;mol/L (range 1.67&#x2013;4.91) vs. 1.64 &#x3bc;mol/L (range 0.73&#x2013;2.07), <italic>p</italic>=0.028] (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). By conducting ROC curve analyses, 1.69 (AUC 0.66, 95%CI 0.56&#x2013;077, <italic>p</italic>=0.005) was calculated as the best cutoff for post/pre-kynurenine ratio to differentiate responders from non-responders (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). The sensitivity and specificity of post/pre-kynurenine ratio in predicting therapy response were 56.1% and 60.3%, respectively. The response rate was lower in the high than in low post/pre-kynurenine ratio group (13.5 vs. 37.5%, odds ratio 0.319, 95% CI 0.140&#x2013;0.726, <italic>p</italic>=0.006) (<xref ref-type="supplementary-material" rid="SF3">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>). No correlation was found between post/pre-kynurenine ratio and tumor histological type. High post/pre-kynurenine ratio correlated significantly with worse PFS (48 months vs. not reached, HR 2.90, 95% CI, 1.48&#x2013;5.77, <italic>p</italic>=0.002) and poorer OS (68 months vs. not reached, HR 4.08, 95% CI, 1.40&#x2013;11.92, <italic>p</italic>=0.010) (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3C, D</bold>
</xref>). The significance of post/pre-kynurenine ratio associated with OS in multivariate Cox regression model was lost when adjusting for clinically significant factors. Otherwise, in the multivariate Cox regression models for PFS, post/pre-kynurenine ratio remained an independently predictive factor (HR 2.76; 95% CI, 1.34&#x2013;5.71; <italic>p</italic>=0.006; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Post/pre-kynurenine ratio and treatment outcomes. <bold>(A)</bold> the post/pre-kynurenine according to the response to RAI treatment <bold>(B)</bold> ROC curve for post/pre-kynurenine in dmDTC patients <bold>(C)</bold> PFS curves of the dmDTC patients according to post/pre-kynurenine <bold>(D)</bold> OS curves of the dmDTC patients according to post/pre-kynurenine.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-871792-g003.tif"/>
</fig>
</sec>
<sec id="s3_6">
<title>Effects of Combined IDO Biomarkers on OS and PFS</title>
<p>Considering serum K/T ratio at baseline and RAI-induced post/pre-kynurenine ratio change, the 104 evaluable patients were classified into four groups. Group 1 included 36 (34.6%) patients with low baseline K/T ratio and low post/pre-kynurenine ratio. Group 2 included 17 (16.3%) patients with high baseline K/T ratio and low post/baseline kynurenine ratio. Group 3 included 27 (26.0%) patients with low baseline K/T ratio and high post/baseline kynurenine ratio. Group 4 included 24 (23.1%) patients with high baseline K/T ratio and high post/baseline kynurenine ratio. There were significant differences in PFS (<italic>p</italic>=0.001) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>) and OS (<italic>p</italic>=0.014) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>) for these four groups. The median OS and PFS were not reached after 64 months of median follow-up in Groups 1 and 2. Median OS and PFS were 70 months (95% CI 65&#x2013;75) and 65 months (95% CI 46&#x2013;84) in Group 3, and 66 months (95% CI 48&#x2013;84) and 44 months (95% CI 31&#x2013;57) in Group 4, respectively. Groups 3 and 4 had shorter OS than Group 1 (HR 9.284, 95% CI 1.18&#x2013;73.32, <italic>p</italic>=0.035; HR 14.08, 95% CI 1.82&#x2013;108.72, <italic>p</italic>=0.011, respectively). Groups 2&#x2013;4 had poorer PFS than Group 1 (HR 3.93, 95% CI 1.14&#x2013;13.44, <italic>p</italic>=0.029; HR 4.09, 95% CI 1.33&#x2013;12.54, <italic>p</italic>=0.014; HR 7.39, 95% CI 2.49&#x2013;21.92, <italic>p</italic>&lt;0.001, respectively).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Combined effects of baseline Change of IDO on DTC tumor progression <bold>(A)</bold> and overall survival <bold>(B)</bold>. Group 1: patients with low baseline K/T ratio and low post/pre-kynurenine ratio; Group 2 patients with high baseline K/T ratio and low post/baseline kynurenine ratio; Group 3: patients with low baseline K/T ratio and high post/baseline kynurenine ratio; Group 4: patients with high baseline K/T ratio and high post/baseline kynurenine ratio.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-12-871792-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>In the present retrospective study, we found that non-responders to RAI had higher serum K/T ratio at baseline compared to responders. Patients with low baseline K/T ratio achieved longer PFS and OS than those harboring high serum baseline K/T ratio.</p>
<p>We hypothesized that IDO activity could be useful to predict response to RAI in dmDTC patients, based on the immunoinhibitory properties of IDO and its function as a potent immune checkpoint in cancer. IDO is highly expressed in DTC tumor tissues (<xref ref-type="bibr" rid="B17">17</xref>). IDO activity, as reflected by serum kynurenine levels, was higher in PTC patients than that in healthy controls (<xref ref-type="bibr" rid="B20">20</xref>). IDO immune status was also higher in DTC patients with lung metastases than in patients without metastases (<xref ref-type="bibr" rid="B21">21</xref>). High expression of IDO in FTC-133&#xa0;human thyroid cancer cells exerted a strong suppressive action on the proliferation of activated T lymphocytes (<xref ref-type="bibr" rid="B17">17</xref>). To the best of our knowledge, this study is the first study to show the predictive value of serum IDO activity biomarkers in patients with DTC.</p>
<p>In our analysis, baseline K/T ratio was an important prognostic marker for dmDTC patients treated with RAI. This is in agreement with previous studies in which baseline IDO activity might have served as prognostic factors treated with chemoradiation (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>). IDO controls complement-dependent enhancement of chemoradiation therapy against murine glioblastoma (<xref ref-type="bibr" rid="B24">24</xref>). Mouse knockout studies have indicated that IDO promotes breast tumor resistance to chemotherapy <italic>via</italic> immune escape from T-cell-dependent anti-tumor immunity (<xref ref-type="bibr" rid="B25">25</xref>). In this study, we analyzed the infiltration of TILs and evaluated the relationship between IDO activity and TIL counts. Interestingly, baseline K/T ratio was negatively related with CD3<sup>+</sup> or CD8<sup>+</sup> TILs. This is consistent with previous reports showing the immunosuppressive role of IDO enzyme in the malignant tumor disease (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>) Thus, our findings demonstrated that IDO activity is associated with the suppressed infiltration of T cells into the tumor tissues, which may contribute to poor response to RAI.</p>
<p>RAI causes DNA double-strand breaks, which can lead to efficient DTC cell killing. Tumor-derived IDO improves DNA damage repair and mediates resistance to chemoradiation in human cancer cells by a steady supply of nicotinamide adenine dinucleotide generated from the IDO downstream metabolic products (<xref ref-type="bibr" rid="B28">28</xref>). This is the evidence that IDO promotes cancer survival through another mechanism, independently of the immune system. Our preliminary data provide strong clinical confirmation of the preclinical studies concerning the role of IDO in DTC. More mechanistic investigations are required to confirm these findings.</p>
<p>Another major finding of our study was that RAI induced IDO activity change, reflected by post/pre-kynurenine ratio, was higher in RAI non-responders, with shorter OS and PFS. Most previous studies have shown the relationship between IDO activity at baseline and prognosis of patients with acute myeloid leukemia (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>), breast cancer (<xref ref-type="bibr" rid="B31">31</xref>), cervical cancer (<xref ref-type="bibr" rid="B32">32</xref>), lymphoma (<xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>), colorectal cancer (<xref ref-type="bibr" rid="B36">36</xref>), glioma (<xref ref-type="bibr" rid="B37">37</xref>), lung cancer (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B38">38</xref>&#x2013;<xref ref-type="bibr" rid="B41">41</xref>), and melanoma (<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>) (<xref ref-type="table" rid="T3">
<bold>Table 3</bold>
</xref>). Only a few studies investigated the relationship between dynamic IDO activity change and outcome of tumor patients after radiotherapy or chemotherapy. One study reported that the K/T ratio was increased in non-small-cell lung cancer (NSCLC) patients after chemoradiation therapy and such an increased IDO activity portended worse OS and PFS (<xref ref-type="bibr" rid="B22">22</xref>). Elevated post/pre-kynurenine ratio in stage III NSCLC patients treated with chemoradiation had significantly worse OS (<xref ref-type="bibr" rid="B23">23</xref>). Higher serum kynurenine levels after radiotherapy were associated with worse OS in patients with newly diagnosed stage I/II NSCLC (<xref ref-type="bibr" rid="B38">38</xref>). As far as we know, there are no studies on the IDO levels in circulation in patients with advanced thyroid cancer. Our study demonstrated that the increase of IDO activity after RAI was related to therapy response in DTC. The possible reason might be that after massive radiosensitive tumor cells killing by ionizing irradiation, the proliferation of radioresistant tumor cells dominate the TME and present an immunosuppressive phenotype, or that RAI directly alters the biological behavior of tumor cells and leads to suppression of the anti-tumor microenvironment. These findings support that in addition to IDO activity at baseline as a prognostic biomarker for DTC patients, RAI therapy might affect host tumor immune microenvironment, modify the therapeutic response, and finally change the prognosis in DTC patients. Further studies are needed to explore the mechanisms of immunoregulation under RAI.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Prognostic Value of IDO Activity in Different Cancer Types.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Cancer</th>
<th valign="top" align="center">N(adults)</th>
<th valign="top" align="center">Serum IDO Markers</th>
<th valign="top" align="center">Detection method</th>
<th valign="top" align="center">Prognostic value</th>
<th valign="top" align="center">Ref.</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="left" style="background-color:#ffffff">Acute myeloid leukemia</td>
<td valign="top" align="center" style="background-color:#ffffff">184</td>
<td valign="top" align="left" style="background-color:#ffffff">Kyn/Trp ratio</td>
<td valign="top" align="center" style="background-color:#ffffff">HPLC</td>
<td valign="top" align="left" style="background-color:#ffffff">Increased Kyn/Trp ratio associated with short OS</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B29">29</xref>)</td>
</tr>
<tr>
<td valign="top" align="center" style="background-color:#ffffff">48</td>
<td valign="top" align="left" style="background-color:#ffffff">Kyn concentration</td>
<td valign="top" align="center" style="background-color:#ffffff">HPLC</td>
<td valign="top" align="left" style="background-color:#ffffff">Increased Kyn levels associated with short OS</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B30">30</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#ffffff">Breast cancer</td>
<td valign="top" align="center" style="background-color:#ffffff">32</td>
<td valign="top" align="left" style="background-color:#ffffff">Trp/Kyn ratio</td>
<td valign="top" align="center" style="background-color:#ffffff">HPLC</td>
<td valign="top" align="left" style="background-color:#ffffff">Lower Trp/Kyn ratio associated with shorter OS</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B31">31</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#ffffff">Cervical cancer</td>
<td valign="top" align="center" style="background-color:#ffffff">251</td>
<td valign="top" align="left" style="background-color:#ffffff">Kyn/Trp ratio</td>
<td valign="top" align="center" style="background-color:#ffffff">MS</td>
<td valign="top" align="left" style="background-color:#ffffff">Increased Kyn/Trp ratio associated with short DFS</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B32">32</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#ffffff">T-cell leukemia/lymphoma</td>
<td valign="top" align="center" style="background-color:#ffffff">96</td>
<td valign="top" align="left" style="background-color:#ffffff">Kyn/Trp ratio; Trp concentration</td>
<td valign="top" align="center" style="background-color:#ffffff">MS</td>
<td valign="top" align="left" style="background-color:#ffffff">Increased Kyn/Trp ratio and the levels of Kyn associated with short OS</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B33">33</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#ffffff">Follicular lymphoma</td>
<td valign="top" align="center" style="background-color:#ffffff">110</td>
<td valign="top" align="left" style="background-color:#ffffff">Kyn/Trp ratio; Trp concentration</td>
<td valign="top" align="center" style="background-color:#ffffff">MS</td>
<td valign="top" align="left" style="background-color:#ffffff">Increased Kyn/Trp ratio and the levels of Kyn associated with short OS</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B34">34</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#ffffff">Non-Hodgkin lymphoma</td>
<td valign="top" align="center" style="background-color:#ffffff">73</td>
<td valign="top" align="left" style="background-color:#ffffff">Trp concentration</td>
<td valign="top" align="center" style="background-color:#ffffff">HPLC</td>
<td valign="top" align="left" style="background-color:#ffffff">Lower Trp levels associated with shorter OS</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B35">35</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#ffffff">Colorectal cancer</td>
<td valign="top" align="center" style="background-color:#ffffff">66</td>
<td valign="top" align="left" style="background-color:#ffffff">Trp concentration</td>
<td valign="top" align="center" style="background-color:#ffffff">HPLC</td>
<td valign="top" align="left" style="background-color:#ffffff">Lower Trp levels associated with liver metastases and reduced quality of Life</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B36">36</xref>)</td>
</tr>
<tr>
<td valign="top" align="left" style="background-color:#ffffff">Glioma</td>
<td valign="top" align="center" style="background-color:#ffffff">33</td>
<td valign="top" align="left" style="background-color:#ffffff">Kyn/Trp ratio</td>
<td valign="top" align="center" style="background-color:#ffffff">HPLC</td>
<td valign="top" align="left" style="background-color:#ffffff">Increased Kyn/Trp ratio associated with short OS</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B37">37</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left" style="background-color:#ffffff">Lung cancer</td>
<td valign="top" align="center" style="background-color:#ffffff">33</td>
<td valign="top" align="left" style="background-color:#ffffff">Kyn/Trp ratio</td>
<td valign="top" align="center" style="background-color:#ffffff">MS</td>
<td valign="top" align="left" style="background-color:#ffffff">Increased Kyn/Trp ratio after induction and chemoradiation therapy associated with short OS and PFS</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B22">22</xref>)</td>
</tr>
<tr>
<td valign="top" align="center" style="background-color:#ffffff">110</td>
<td valign="top" align="left" style="background-color:#ffffff">Kyn/Trp ratio; Kyn concentration</td>
<td valign="top" align="center" style="background-color:#ffffff">HPLC</td>
<td valign="top" align="left" style="background-color:#ffffff">Increased pre-treatment Kyn/Trp ratio and changes in the levels of Kyn after radiation associated with poor OS</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B23">23</xref>)</td>
</tr>
<tr>
<td valign="top" align="center" style="background-color:#ffffff">56</td>
<td valign="top" align="left" style="background-color:#ffffff">Kyn concentration</td>
<td valign="top" align="center" style="background-color:#ffffff">HPLC</td>
<td valign="top" align="left" style="background-color:#ffffff">Increased levels of Kyn post-radiation associated with poor OS</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B38">38</xref>)</td>
</tr>
<tr>
<td valign="top" align="center" style="background-color:#ffffff">104</td>
<td valign="top" align="left" style="background-color:#ffffff">Kyn/Trp ratio</td>
<td valign="top" align="center" style="background-color:#ffffff">HPLC</td>
<td valign="top" align="left" style="background-color:#ffffff">Increased Kyn/Trp ratio pre-treatment associated with short PFS; increased post/pre-Kyn : Trp ratio after radiation associated with OS</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B39">39</xref>)</td>
</tr>
<tr>
<td valign="top" align="center" style="background-color:#ffffff">123</td>
<td valign="top" align="left" style="background-color:#ffffff">Kyn/Trp ratio</td>
<td valign="top" align="center" style="background-color:#ffffff">MS</td>
<td valign="top" align="left" style="background-color:#ffffff">Increased Kyn/Trp ratio associated with short OS</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B40">40</xref>)</td>
</tr>
<tr>
<td valign="top" align="center" style="background-color:#ffffff">252</td>
<td valign="top" align="left" style="background-color:#ffffff">Kyn/Trp ratio</td>
<td valign="top" align="center" style="background-color:#ffffff">HPLC</td>
<td valign="top" align="left" style="background-color:#ffffff">Increased Kyn/Trp associated with decreased efficacy of chemotherapy</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B41">41</xref>)</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left" style="background-color:#ffffff">Melanoma</td>
<td valign="top" align="center" style="background-color:#ffffff">87</td>
<td valign="top" align="left" style="background-color:#ffffff">Kyn/Trp ratio</td>
<td valign="top" align="center" style="background-color:#ffffff">HPLC</td>
<td valign="top" align="left" style="background-color:#ffffff">Increased Kyn/Trp ratio associated with short OS</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B42">42</xref>)</td>
</tr>
<tr>
<td valign="top" align="center" style="background-color:#ffffff">186</td>
<td valign="top" align="left" style="background-color:#ffffff">Kyn concentration</td>
<td valign="top" align="center" style="background-color:#ffffff">HPLC</td>
<td valign="top" align="left" style="background-color:#ffffff">Increased levels of Kyn post-radiation associated with short OS</td>
<td valign="top" align="center" style="background-color:#ffffff"> (<xref ref-type="bibr" rid="B43">43</xref>)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Kyn, kynurenine; Trp, tryptophan; HPLC, high performance liquid chromatography; MS, mass spectrometry; Ref., references; OS, overall survival; PFS, progression-free survival.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The capability of IDO to predict outcomes of RAI treatment was further confirmed by the combined use of baseline and the change of IDO activity after RAI. Patients who maintained low baseline K/T ratio and low post/pre-kynurenine ratio achieved better PFS and OS than those who maintained high baseline K/T or post/pre-kynurenine ratio. This clinical experience suggests that, on the one hand, the differences in baseline IDO activity of the dmDTC patients would represent individual immune status variation in tumor pathophysiological characteristics. Baseline IDO biomarker might be used to select suitable patients who may benefit from RAI treatment. On the other hand, the change in IDO activity after RAI therapy dynamically reflected the tumor response&#xa0;to RAI in biological&#xa0;behavior and immune environment, allowing for early detection of cases with acquired resistance to RAI.</p>
<p>Regarding RAI-treated DTC patients, Tg has been reported to have prognostic value. Unfortunately, patients with poorly differentiated thyroid carcinoma and those with positive anti-Tg antibody show decreased expression of Tg (<xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B45">45</xref>). In those cases, patients cannot be evaluated with Tg (<xref ref-type="bibr" rid="B46">46</xref>). Evaluation of other available tissue biomarkers, such as sodium iodine transporter, requires adequate samples that can only be obtained in an invasive manner, and is&#xa0;hindered by spatial and temporal heterogeneity. These data underline the challenge to identify a reliable biomarker among the systemic immune components with a clear predictive value for DTC patients, since the development and maintenance of an immune microenvironment has shown clear associations with individual outcome (<xref ref-type="bibr" rid="B47">47</xref>).</p>
<p>This study had some limitations. First, the number of patients was limited, which may affect study results. Second, correlative immunological markers, such as forkhead box P3 expression and other T lymphocyte subset, were not measured, which may help to confirm the putative role of IDO&#xa0;in DTC patients. Third, the cutoff value of IDO biomarker was derived from analysis of the study population and thus needs to be validated in an external series of patients. Finally, IDO1 might act as an immunosuppressor in a context-dependent manner and its expression is induced by specific&#xa0;oncogenes (<xref ref-type="bibr" rid="B13">13</xref>). The association between serum IDO biomarker levels and mutations of clinical tumor driver genes involved in DTC initiation and progression was not evaluated in this study.</p>
<p>In conclusion, our study provides clinicians with an independent and significant prognostic biomarker in dmDTC patients treated with RAI. Serum IDO activity could represent a noninvasive dynamic biomarker that is available in every patient, demonstrating disease and evolution of tumor immune environment over time and enabling early detection of cases with immunobiological resistance to RAI. Finally, our findings, if confirmed, may reveal the development of novel multimodality clinical trials using anti-IDO agents that might improve the efficacy of RAI by blocking the potential immunosuppressive action of IDO.</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/<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Material</bold>
</xref>. 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 Institutional Ethics Committees of Nanjing First Hospital, the Institutional Ethics Committees of Affiliated Hospital of Jiangsu University. 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>XX, LS, and HZ conceived and designed the study. XX and HZ supervised the study. LS and RD did the statistical analysis. QJ, WW, JZ, and SL contributed to acquisition, analysis, or interpretation of data. XX, LS, RD, QJ, and HZ drafted the manuscript. All authors revised the report and approved the final version before submission.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by grants from the National Natural Science Foundation of China (82001865), the National Thyroid Research Project for Chinese Young and Middle-aged Doctors (2020), the Clinical Research Project of Nanjing Medical University (NMUB2019169), the Natural Science Foundation of Jiangsu Province (BK20200145).</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>
<p>The reviewers XW and JZ declared a shared affiliation with the authors to the handling editor at the time of review.</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>
</body>
<back>
<sec id="s11" 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.2022.871792/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fonc.2022.871792/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.tif" id="SF1" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Response rate in patients with low and high pre-RAI K/T ratio groups.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_2.tif" id="SF2" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;2</label>
<caption>
<p>Representative images of CD3<sup>+</sup> and CD8<sup>+</sup> tumor-infiltrating lymphocytes in two different with DTC. (patient 1: non-responder;patient 2:responder). Scale bar, 50 &#x3bc;m.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Image_3.tif" id="SF3" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;3</label>
<caption>
<p>Response rate in patients with low and high post/pre-kynurenine groups.</p>
</caption>
</supplementary-material>
</sec>
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