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<article xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.3" article-type="research-article" xml:lang="en"><processing-meta tagset-family="jats" base-tagset="archiving" mathml-version="3.0" table-model="xhtml"><custom-meta-group><custom-meta assigning-authority="highwire" xlink:type="simple"><meta-name>recast-jats-build</meta-name><meta-value>1d2b230b09</meta-value></custom-meta></custom-meta-group></processing-meta><front><journal-meta><journal-id journal-id-type="hwp">jitc</journal-id><journal-id journal-id-type="nlm-ta">J Immunother Cancer</journal-id><journal-id journal-id-type="publisher-id">jitc</journal-id><journal-title-group><journal-title>Journal for ImmunoTherapy of Cancer</journal-title><abbrev-journal-title abbrev-type="publisher">J Immunother Cancer</abbrev-journal-title><abbrev-journal-title>J Immunother Cancer</abbrev-journal-title></journal-title-group><issn pub-type="epub">2051-1426</issn><publisher><publisher-name>BMJ Publishing Group Ltd</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">jitc-2019-000469</article-id><article-id pub-id-type="doi">10.1136/jitc-2019-000469</article-id><article-id pub-id-type="pmid">32474412</article-id><article-id pub-id-type="apath" assigning-authority="highwire">/jitc/8/1/e000469.atom</article-id><article-categories><subj-group subj-group-type="heading"><subject>Basic tumor immunology</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="publisher"><subject>Open access</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="publisher"><subject>Basic Tumor Immunology</subject></subj-group><subj-group subj-group-type="collection" assigning-authority="highwire"><subject>Special collections</subject><subj-group><subject>JITC</subject><subj-group><subject>Basic Tumor Immunology</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="collection" assigning-authority="highwire"><subject>Special collections</subject><subj-group><subject>Open access</subject></subj-group></subj-group><series-title>Original research</series-title></article-categories><title-group><article-title>Interplay between glucocorticoids and tumor-infiltrating lymphocytes on the prognosis of adrenocortical carcinoma</article-title></title-group><contrib-group><contrib contrib-type="author" id="author-74952458" xlink:type="simple"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-6315-4176</contrib-id><name name-style="western"><surname>Landwehr</surname><given-names>Laura-Sophie</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" id="author-74952871" xlink:type="simple"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0003-2616-3249</contrib-id><name name-style="western"><surname>Altieri</surname><given-names>Barbara</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" id="author-74952906" xlink:type="simple"><name name-style="western"><surname>Schreiner</surname><given-names>Jochen</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" id="author-74952952" xlink:type="simple"><name name-style="western"><surname>Sbiera</surname><given-names>Iuliu</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" id="author-74953079" xlink:type="simple"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0001-5873-8567</contrib-id><name name-style="western"><surname>Weigand</surname><given-names>Isabel</given-names></name><xref ref-type="aff" rid="aff1">1</xref></contrib><contrib contrib-type="author" id="author-74953099" xlink:type="simple"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-7628-3161</contrib-id><name name-style="western"><surname>Kroiss</surname><given-names>Matthias</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref></contrib><contrib contrib-type="author" corresp="yes" id="author-73323660" xlink:type="simple"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0001-6170-6398</contrib-id><name name-style="western"><surname>Fassnacht</surname><given-names>Martin</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref><xref ref-type="aff" rid="aff3">3</xref></contrib><contrib contrib-type="author" corresp="yes" id="author-74953119" xlink:type="simple"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0002-6271-5533</contrib-id><name name-style="western"><surname>Sbiera</surname><given-names>Silviu</given-names></name><xref ref-type="aff" rid="aff1">1</xref><xref ref-type="aff" rid="aff2">2</xref></contrib></contrib-group><aff id="aff1">
<label>1</label>
<institution content-type="department" xlink:type="simple">Department of Internal Medicine I, Division of Endocrinology and Diabetes</institution>, <institution xlink:type="simple">University Hospital Würzburg</institution>, <addr-line content-type="city">Würzburg</addr-line>, <country>Germany</country>
</aff><aff id="aff2">
<label>2</label>
<institution content-type="department" xlink:type="simple">Comprehensive Cancer Center Mainfranken</institution>, <institution xlink:type="simple">University of Würzburg</institution>, <addr-line content-type="city">Würzburg</addr-line>, <country>Germany</country>
</aff><aff id="aff3">
<label>3</label>
<institution content-type="department" xlink:type="simple">Clinical Chemistry and Laboratory Medicine</institution>, <institution xlink:type="simple">University Hospital Würzburg</institution>, <addr-line content-type="city">Würzburg</addr-line>, <country>Germany</country>
</aff><author-notes><corresp>
<label>Correspondence to</label> Dr. Silviu Sbiera; <email xlink:type="simple">sbiera_s@ukw.de</email>; Prof. Dr. Martin Fassnacht; <email xlink:type="simple">fassnacht_m@ukw.de</email>
</corresp></author-notes><pub-date date-type="pub" iso-8601-date="2020-05" pub-type="ppub" publication-format="print"><month>5</month><year>2020</year></pub-date><pub-date date-type="pub" iso-8601-date="2020-05-29" pub-type="epub-original" publication-format="electronic"><day>29</day><month>5</month><year>2020</year></pub-date><pub-date iso-8601-date="2019-12-20T04:54:25-08:00" pub-type="hwp-received"><day>20</day><month>12</month><year>2019</year></pub-date><pub-date iso-8601-date="2019-12-20T04:54:25-08:00" pub-type="hwp-created"><day>20</day><month>12</month><year>2019</year></pub-date><pub-date iso-8601-date="2020-05-30T08:26:27-07:00" pub-type="epub"><day>30</day><month>5</month><year>2020</year></pub-date><volume>8</volume><issue>1</issue><elocation-id>e000469</elocation-id><history><date date-type="accepted" iso-8601-date="2020-04-01"><day>01</day><month>04</month><year>2020</year></date></history><permissions><copyright-statement>© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</copyright-statement><copyright-year>2020</copyright-year><license license-type="open-access" xlink:href="http://creativecommons.org/licenses/" xlink:type="simple"><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/" start_date="2020-05-29">http://creativecommons.org/licenses/by-nc/4.0/</ali:license_ref><license-p>This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc/4.0/" xlink:type="simple">http://creativecommons.org/licenses/by-nc/4.0/</ext-link>.</license-p></license></permissions><self-uri content-type="pdf" xlink:href="jitc-2019-000469.pdf" xlink:type="simple"/><abstract><sec><title>Background</title><p>Adrenocortical carcinoma (ACC) is a rare endocrine malignancy. Tumor-related glucocorticoid excess is present in ~60% of patients and associated with particularly poor prognosis. Results of first clinical trials using immune checkpoint inhibitors were heterogeneous. Here we characterize tumor-infiltrating T lymphocytes (TILs) in ACC in association with glucocorticoids as potential explanation for resistance to immunotherapy.</p></sec><sec><title>Methods</title><p>We performed immunofluorescence analysis to visualize tumor-infiltrating T cells (CD3<sup>+</sup>), T helper cells (CD3<sup>+</sup>CD4<sup>+</sup>), cytotoxic T cells (CD3<sup>+</sup>CD8<sup>+</sup>) and regulatory T cells (Tregs; CD3<sup>+</sup>CD4<sup>+</sup>FoxP3<sup>+</sup>) in 146 ACC tissue specimens (107 primary tumors, 16 local recurrences, 23 metastases). Quantitative data of immune cell infiltration were correlated with clinical data (including glucocorticoid excess).</p></sec><sec><title>Results</title><p>86.3% of ACC specimens showed tumor infiltrating T cells (7.7 cells/high power field (HPF)), including T helper (74.0%, 6.7 cells/HPF), cytotoxic T cells (84.3%, 5.7 cells/HPF) and Tregs (49.3%, 0.8 cells/HPF). The number of TILs was associated with better overall survival (HR for death: 0.47, 95% CI 0.25 to 0.87), which was true for CD4<sup>+</sup>− and CD8<sup>+</sup> subpopulations as well. In localized, non-metastatic ACC, the favorable impact of TILs on overall and recurrence-free survival was manifested even independently of ENSAT (European Network for the Study of Adrenal Tumors) stage, resection status and Ki67 index. T helper cells were negatively correlated with glucocorticoid excess (Phi=−0.290, p=0.009). Patients with glucocorticoid excess and low TILs had a particularly poor overall survival (27 vs. 121 months in patients with TILs without glucocorticoid excess).</p></sec><sec><title>Conclusion</title><p>Glucocorticoid excess is associated with T cell depletion and unfavorable prognosis. To reactivate the immune system in ACC by checkpoint inhibitors, an inhibition of adrenal steroidogenesis might be pivotal and should be tested in prospective studies.</p></sec></abstract><kwd-group><kwd>immunity</kwd><kwd>immunotherapy</kwd><kwd>lymphocytes, tumor-infiltrating</kwd><kwd>t-lymphocytes</kwd><kwd>tumor microenvironment</kwd></kwd-group><funding-group specific-use="FundRef"><award-group id="funding-1" xlink:type="simple"><funding-source xlink:type="simple">
<institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/501100003042</institution-id><institution xlink:type="simple">Else Kröner-Fresenius-Stiftung</institution></institution-wrap>
</funding-source><award-id xlink:type="simple">2016_A96</award-id></award-group><award-group id="funding-2" xlink:type="simple"><funding-source xlink:type="simple">
<institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/501100001659</institution-id><institution xlink:type="simple">Deutsche Forschungsgemeinschaft</institution></institution-wrap>
</funding-source><award-id xlink:type="simple">314061271</award-id><award-id xlink:type="simple">FA-466-4-2</award-id><award-id xlink:type="simple">KR4371/1/1-2</award-id></award-group></funding-group><custom-meta-group><custom-meta xlink:type="simple"><meta-name>special-feature</meta-name><meta-value>unlocked</meta-value></custom-meta><custom-meta xlink:type="simple"><meta-name>special-property</meta-name><meta-value>contains-inline-supplementary-material</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="s1"><title>Background</title><p>Adrenocortical carcinoma (ACC) is a rare aggressive endocrine malignancy with an incidence of approximately one per million inhabitants per year.<xref ref-type="bibr" rid="R1">1</xref> Patients diagnosed with ACC have a dismally poor prognosis. Even after complete resection, there is a strong propensity toward local recurrences and progression of distant metastases. Median overall survival in metastatic disease is less than 15 months. Complete surgical resection is the treatment of choice in localized ACC.<xref ref-type="bibr" rid="R2">2</xref> The current recommended standard care for patients in advanced disease is mitotane or the combination of etoposide, doxorubicin, cisplatin, and mitotane.<xref ref-type="bibr" rid="R1 R2 R3 R4 R5 R6">1–6</xref>
</p><p>Activation of antitumorous immune response with immune checkpoint inhibitors has revolutionized the therapy of many cancer entities resistant to chemotherapy. Results of the first (small) trials with immunotherapy in ACC are modest, with a median progression-free survival times of 1.8, 2.1, 2.6 and 6.75 months, respectively.<xref ref-type="bibr" rid="R7 R8 R9 R10">7–10</xref> However, in one study with 39 patients, disease control rate was 52% and interestingly median overall survival reached almost 25 months clearly suggesting that at least a subset of patients benefits from this therapeutic approach.</p><p>One potential cause underlying these heterogeneous and partly disappointing results may be tumorous glucocorticoid secretion. Excess of steroid hormones is present in approximately 60% of patients. Cushing’s syndrome due to high glucocorticoid secretion has been associated with unfavorable prognosis even after complete resection.<xref ref-type="bibr" rid="R11 R12 R13">11–13</xref> It is well known that glucocorticoids are immunosuppressive through regulation of circulating and tumor-infiltrating immune cells. They inhibit for instance T helper cells (CD3<sup>+</sup>CD4<sup>+</sup>) and cytotoxic T-lymphocytes (CTLs, CD3<sup>+</sup>CD8<sup>+</sup>) activation.<xref ref-type="bibr" rid="R14">14</xref> Even without clinically apparent Cushing’s syndrome, high intratumorous glucocorticoid concentrations may lead to a local anergy of the antitumorous immune system.</p><p>CD3<sup>+</sup>CD4<sup>+</sup> T cells are crucial for T cell receptor-mediated activation of the adaptive immune system by interacting with MHC class II-restricted antigen-presenting cells. Additionally, T helper cells mediate the production of antibody generating B lymphocytes and the activation and long-term maintenance of CD3<sup>+</sup>CD8<sup>+</sup> CTLs through secretion of cytokines and chemokines such as interferon gamma and tumor necrosis factor alpha. CD3<sup>+</sup>CD8<sup>+</sup> CTLs eradicate intracellular targets by direct cell-cell contact and ensure tumor surveillance.<xref ref-type="bibr" rid="R15">15</xref> The presence of circulating and/or tumor-infiltrating CD3<sup>+</sup>CD4<sup>+</sup>− and CD3<sup>+</sup>CD8<sup>+</sup> T lymphocytes (TILs) correlates with favorable outcome on patients’ overall survival in various human malignancies, for example, melanoma, lung cancer or head and neck squamous cell carcinoma.<xref ref-type="bibr" rid="R16 R17 R18">16–18</xref>
</p><p>In contrast, regulatory T cells (Tregs, CD3<sup>+</sup>CD4<sup>+</sup>CD25<sup>+</sup>FoxP3<sup>+</sup>) maintain tolerance to self-antigens and prevent autoimmunity by modulating the induction of effector T cells. However, they actively impede antitumor immunity contributing to tumor progression in many cancers.<xref ref-type="bibr" rid="R19 R20 R21">19–21</xref>
</p><p>By re-analyzing a ‘multiple omics’ approach using data from The Cancer Genome Atlas (TCGA) consortium, two distinct subgroups of ACC patients were identified, one with overexpression of genes related to steroidogenesis and one with overexpression of genes related to the immune system.<xref ref-type="bibr" rid="R22">22</xref> Both phenotypes, the ‘steroid’ and the ‘immune’ phenotype, not only differ in terms of gene expression, but also regarding the prognosis.</p><p>In order to improve the understanding of the pathogenesis and prognostic of ACC, we focused on the interplay of steroid hormones and immune system to study the glucocorticoid-induced T cell depletion. A more profound analysis of the differences between the ‘steroid’ and ‘immune’ ACC phenotype will allow us to improve therapeutic immunogenic strategies resulting in a prognostic and clinical profit especially with regard to the immunotherapy of the ACC patients.</p></sec><sec id="s2"><title>Material and methods</title><sec id="s2-1"><title>Patients and tissues</title><p>One hundred and forty-six tumor samples of 109 patients with ACC (107 primary tumors, 16 local recurrences and 23 metastases) were used for this study. In 43% of patients, autonomous glucocorticoid excess was diagnosed by means of pathological 1 mg dexamethasone test (cortisol &gt;5 µg/dL) in presence of suppressed adrenocorticotropic hormone (ACTH) (see <xref ref-type="table" rid="T1">table 1</xref>,<xref ref-type="bibr" rid="R23">23</xref>). Completeness of surgical resection of the primary tumor was based on negative surgical, pathological and imaging reports for any remaining malignant tissue. The presence of recurrences or metastases was evaluated at the time of diagnosis and during follow-up visits by computer tomography of chest and abdomen at an interval of 3 to 6 months. Metastases were not restricted to any secondary site, but rather evenly distributed; abdomen (n=7), bone (n=2), liver (n=4), lung (n=6) and lymph nodes (n=4).</p><table-wrap position="float" id="T1" orientation="portrait"><object-id pub-id-type="publisher-id">T1</object-id><label>Table 1</label><caption><p>Adrenocortical carcinoma: patients’ and tumor characteristics</p></caption><table frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom" rowspan="1" colspan="1"/><td align="left" valign="bottom" rowspan="1" colspan="1">N</td><td align="left" valign="bottom" rowspan="1" colspan="1">Age<break/>(years)</td><td align="left" valign="bottom" rowspan="1" colspan="1">Sex<break/>(male/female (n))</td><td align="left" valign="bottom" rowspan="1" colspan="1">Size of tumor (cm)</td><td align="left" valign="bottom" rowspan="1" colspan="1">Ki67 index (%)</td><td align="left" valign="bottom" rowspan="1" colspan="1">Glucocorticoids<break/>+/−other steroids</td><td align="left" valign="bottom" rowspan="1" colspan="1">Only sex hormones</td><td align="left" valign="bottom" rowspan="1" colspan="1">Other steroid pattern</td><td align="left" valign="bottom" rowspan="1" colspan="1">No steroid excess</td><td align="left" valign="bottom" rowspan="1" colspan="1">Hormone profile n/a</td></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>All ACC samples</bold>
</td><td align="char" char="." valign="top" rowspan="1" colspan="1">146</td><td align="char" char="." valign="top" rowspan="1" colspan="1">47 (18–77)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">45/101</td><td align="char" char="." valign="top" rowspan="1" colspan="1">10.0<break/>(0.5–30.0)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">10 (0–80)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">63 (36/27)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">12</td><td align="char" char="." valign="top" rowspan="1" colspan="1">7</td><td align="char" char="." valign="top" rowspan="1" colspan="1">31</td><td align="char" char="." valign="top" rowspan="1" colspan="1">33</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Primary tumors</bold>
</td><td align="char" char="." valign="top" rowspan="1" colspan="1">107</td><td align="char" char="." valign="top" rowspan="1" colspan="1">47 (18–77)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">32/75</td><td align="char" char="." valign="top" rowspan="1" colspan="1">11.8<break/>(3.3–30.0)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">10 (0–80)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">44 (29/15)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">9</td><td align="char" char="." valign="top" rowspan="1" colspan="1">4</td><td align="char" char="." valign="top" rowspan="1" colspan="1">23</td><td align="char" char="." valign="top" rowspan="1" colspan="1">27</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> ENSAT I/II*</td><td align="char" char="." valign="top" rowspan="1" colspan="1">47</td><td align="char" char="." valign="top" rowspan="1" colspan="1">46 (18–77)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">13/34</td><td align="char" char="." valign="top" rowspan="1" colspan="1">12.0<break/>(3.3–28.0)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">10 (0–50)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">17 (10/7)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">6</td><td align="char" char="." valign="top" rowspan="1" colspan="1">3</td><td align="char" char="." valign="top" rowspan="1" colspan="1">14</td><td align="char" char="." valign="top" rowspan="1" colspan="1">7</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> ENSAT III*</td><td align="char" char="." valign="top" rowspan="1" colspan="1">38</td><td align="char" char="." valign="top" rowspan="1" colspan="1">47 (18–75)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">13/25</td><td align="char" char="." valign="top" rowspan="1" colspan="1">10.3<break/>(5.0–30.0)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">20 (1–80)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">16 (10/6)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">3</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1</td><td align="char" char="." valign="top" rowspan="1" colspan="1">7</td><td align="char" char="." valign="top" rowspan="1" colspan="1">11</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> ENSAT IV*</td><td align="char" char="." valign="top" rowspan="1" colspan="1">20</td><td align="char" char="." valign="top" rowspan="1" colspan="1">47.5 (24–72)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">6/14</td><td align="char" char="." valign="top" rowspan="1" colspan="1">13.0<break/>(7.0–25.0)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">10 (1–30)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">11 (9/2)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0</td><td align="char" char="." valign="top" rowspan="1" colspan="1">3</td><td align="char" char="." valign="top" rowspan="1" colspan="1">6</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Local recurrences</bold>†</td><td align="char" char="." valign="top" rowspan="1" colspan="1">16</td><td align="char" char="." valign="top" rowspan="1" colspan="1">44 (20–70)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">6/10</td><td align="char" char="." valign="top" rowspan="1" colspan="1">4.5<break/>(1.5–9.4)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">12.5 (5–20)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">6 (2/4)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">2</td><td align="char" char="." valign="top" rowspan="1" colspan="1">2</td><td align="char" char="." valign="top" rowspan="1" colspan="1">3</td><td align="char" char="." valign="top" rowspan="1" colspan="1">3</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Distant metastases</bold>†</td><td align="char" char="." valign="top" rowspan="1" colspan="1">23</td><td align="char" char="." valign="top" rowspan="1" colspan="1">41 (19–72)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">7/16</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1.7<break/>(0.5–4.0)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">17.5 (5–40)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">13 (8/5)</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1</td><td align="char" char="." valign="top" rowspan="1" colspan="1">4</td><td align="char" char="." valign="top" rowspan="1" colspan="1">4</td></tr></tbody></table><table-wrap-foot><fn id="T1_FN1"><p>Data represent median values with ranges or total numbers.</p></fn><fn id="T1_FN2"><p>*Tumor stage at the time of diagnosis according to the European Network for the Study of Adrenal Tumors (ENSAT) classification.<xref ref-type="bibr" rid="R40">40</xref>
</p></fn><fn id="T1_FN3"><p>†In patients who experienced local recurrences or distant metastases during mitotane treatment, endocrine activity was classified according the information available at primary diagnosis.</p></fn><fn id="T1_FN4"><p>ACC, adrenocortical carcinoma.</p></fn></table-wrap-foot></table-wrap></sec><sec id="s2-2"><title>Antibodies and chemicals</title><p>Primary antibodies used for detecting human T lymphocytes were mouse anti-CD3, rabbit anti-CD4, rabbit anti-CD8, and mouse anti-FoxP3 (for details see <xref ref-type="supplementary-material" rid="SP1">online supplementary table S1</xref>). Secondary antibodies for the detection of the aforementioned immunoglobulins were Alexa Fluor 488 goat anti-mouse IgG and Alexa Fluor 555 goat anti-rabbit IgG.</p><supplementary-material id="SP1" position="float" orientation="portrait" xlink:type="simple"><object-id pub-id-type="publisher-id">SP1</object-id><object-id pub-id-type="doi">10.1136/jitc-2019-000469.supp1</object-id><label>Supplementary data</label><p>
<inline-supplementary-material id="SS1" xlink:href="jitc-2019-000469supp001.pdf" mime-subtype="pdf" mimetype="application" xlink:type="simple"/>
</p></supplementary-material></sec><sec id="s2-3"><title>Fluorescence immunohistochemistry</title><p>Intraoperatively obtained tumor specimens were formalin-fixed and paraffin-embedded and 2 µm slices were mounted on microscope slides. De-paraffinization was performed twice in 100% xylene for 10 min, followed by re-hydration with subsiding ethanol solutions (100%, 90%, 80% and 70%) and an extensive washing step with distillated water. Antigen retrieval was performed with freshly prepared 10 mM citric acid monohydrate buffer (pH 6, adjusted with sodium hydroxide; Merck, Darmstadt, Germany) in a pressure cooker for 10 min. After cooling down to room temperature (RT), slides were rinsed with distillated water and fresh phosphate buffered saline (PBS (Sigma); pH 7.4). In order to prevent unspecific binding of tissue proteins a/o antibodies, slides were incubated with 10% goat serum (EMD Millipore Corporation, Temecula, USA) and 1% bovine serum albumin (BSA, Sigma) in PBS for 30 min at RT and subsequently co-incubated with primary antibodies anti-CD3/CD8 and anti-CD4/FoxP3 overnight at 4°C in a humidified chamber. Negative controls were performed using 1% BSA in PBS without antibody cocktail. Tissue slides were washed three times with PBS and subsequently incubated with secondary antibodies (anti-mouse conjugated Alexa Fluor 488 and anti-rabbit conjugated Alexa Fluor 555; online <xref ref-type="supplementary-material" rid="SP1">supplementary table S1</xref>). After 1 hour incubation at RT, slides were washed three times in PBS. Immediately, cell nuclei were counterstained with DAPI for 3 min, washed and mounted with ProLong Gold Antifade (Thermo Fisher). Three human tonsils served as positive control for immunogenic staining.</p></sec><sec id="s2-4"><title>Microscopic analysis</title><p>For analysis of immune infiltrates, high power fields (HPFs, 40x magnification objective) were chosen without relevant necrosis for photography with an Axiovert 135 microscope (Carl Zeiss). The quantification of positive tumor-infiltrating immune cells was performed manually using the ImageJ software (Wayne Rasband, National Institutes of Health, USA).</p><p>For each whole tumor section, two independent investigators analyzed all 10 selected HPFs. To identify specific staining of the cell membrane, each single photographed color channel per HPF was considered for cell counting and only cells showing specific antibody-mediated membrane/nucleus staining for the different subpopulations of T lymphocytes were characterized as positive.</p></sec><sec id="s2-5"><title>Statistics</title><p>Statistical analyzes were performed using Prism (V.5.0a, GraphPad Software Inc, La Jolla, California, USA) and SPSS (IBM Corporation, Armonk, New York, USA).</p><p>All statistically generated data were expressed as median and range; p&lt;0.05 considered significance. Concerning the cut-off for tumor immune infiltration, absence of tumorous immune cell infiltration was termed ‘negative’, any infiltration of lymphocytes was ‘positive’. Overall survival was the time interval from surgery to death or last follow-up, recurrence-free survival was defined as the period between surgery and the first occurrence of relapse. The Kaplan-Meier method and log-rank test was performed to estimate and compare event-free survival. Cox proportional hazards regression modeling was used for the identification of clinical factors that independently influence patients’ survival. In a first step, for all known or potentially relevant prognostic factors (age, sex, autonomous glucocorticoid secretion, resection status, Ki67 proliferation index) a univariate analysis was performed. In addition, all different immune cell epitopes were analyzed independently due to their subtype character (marked by dashed line, <xref ref-type="table" rid="T2">table 2</xref>A+B). Hazard ratio (HR) with 95% CIs were evaluated by Cox regression as well. For the multivariate analysis, we then exclusively included parameters that had a significant impact on patients’ prognosis and survival in the univariate analyzes.</p><table-wrap position="float" id="T2" orientation="portrait"><object-id pub-id-type="publisher-id">T2</object-id><label>Table 2</label><caption><p>Factors influencing adrenocortical carcinoma (ACC) patients’ overall survival</p></caption><table frame="hsides" rules="groups"><thead><tr><td align="left" valign="bottom" rowspan="1" colspan="2"/><td align="left" valign="bottom" rowspan="1" colspan="3">Univariate analyses (all)</td><td align="left" valign="bottom" rowspan="1" colspan="3">Multivariate analyses (all)</td><td align="left" valign="bottom" rowspan="1" colspan="3">Multivariate analyses (localized, non-metastatic)</td></tr></thead><tbody><tr><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">N</td><td align="left" valign="top" rowspan="1" colspan="1">HR</td><td align="left" valign="top" rowspan="1" colspan="1">95% </td><td align="left" valign="top" rowspan="1" colspan="1">P</td><td align="left" valign="top" rowspan="1" colspan="1">HR</td><td align="char" char="." valign="top" rowspan="1" colspan="1">95% </td><td align="left" valign="top" rowspan="1" colspan="1">P</td><td align="left" valign="top" rowspan="1" colspan="1">HR</td><td align="char" char="." valign="top" rowspan="1" colspan="1">95% </td><td align="left" valign="top" rowspan="1" colspan="1">P</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Age</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">0.99</td><td align="left" valign="top" rowspan="1" colspan="1">0.97 to 1.01</td><td align="left" valign="top" rowspan="1" colspan="1">0.423</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Sex</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Female</td><td align="left" valign="top" rowspan="1" colspan="1">75</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Male</td><td align="left" valign="top" rowspan="1" colspan="1">32</td><td align="left" valign="top" rowspan="1" colspan="1">1.02</td><td align="left" valign="top" rowspan="1" colspan="1">0.58 to 1.81</td><td align="left" valign="top" rowspan="1" colspan="1">0.937</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>ENSAT stage</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> I/II</td><td align="left" valign="top" rowspan="1" colspan="1">47</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> III</td><td align="left" valign="top" rowspan="1" colspan="1">38</td><td align="left" valign="top" rowspan="1" colspan="1">1.77</td><td align="left" valign="top" rowspan="1" colspan="1">0.93 to 3.37</td><td align="left" valign="top" rowspan="1" colspan="1">0.081</td><td align="left" valign="top" rowspan="1" colspan="1">1.36</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.58 to 3.14</td><td align="left" valign="top" rowspan="1" colspan="1">0.479</td><td align="left" valign="top" rowspan="1" colspan="1">1.29</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.54 to 3.13</td><td align="left" valign="top" rowspan="1" colspan="1">0.568</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> IV</td><td align="left" valign="top" rowspan="1" colspan="1">20</td><td align="left" valign="top" rowspan="1" colspan="1">5.28</td><td align="left" valign="top" rowspan="1" colspan="1">2.63 to 10.57</td><td align="left" valign="top" rowspan="1" colspan="1">&lt;0.001</td><td align="left" valign="top" rowspan="1" colspan="1">4.41</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1.41 to 13.85</td><td align="left" valign="top" rowspan="1" colspan="1">0.011</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Resection stage</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> R0/RX</td><td align="left" valign="top" rowspan="1" colspan="1">59</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> RI/II</td><td align="left" valign="top" rowspan="1" colspan="1">34</td><td align="left" valign="top" rowspan="1" colspan="1">4.94</td><td align="left" valign="top" rowspan="1" colspan="1">2.42 to 7.98</td><td align="left" valign="top" rowspan="1" colspan="1">&lt;0.001</td><td align="left" valign="top" rowspan="1" colspan="1">2.20</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.94 to 5.13</td><td align="left" valign="top" rowspan="1" colspan="1">0.070</td><td align="left" valign="top" rowspan="1" colspan="1">2.67</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.97 to 7.36</td><td align="left" valign="top" rowspan="1" colspan="1">0.057</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Ki67 tumor index</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> 0%–19%</td><td align="left" valign="top" rowspan="1" colspan="1">52</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> 20%–100%</td><td align="left" valign="top" rowspan="1" colspan="1">41</td><td align="left" valign="top" rowspan="1" colspan="1">2.14</td><td align="left" valign="top" rowspan="1" colspan="1">1.17 to 3.92</td><td align="left" valign="top" rowspan="1" colspan="1">0.014</td><td align="left" valign="top" rowspan="1" colspan="1">2.53</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1.28 to 5.04</td><td align="left" valign="top" rowspan="1" colspan="1">0.008</td><td align="left" valign="top" rowspan="1" colspan="1">3.13</td><td align="char" char="." valign="top" rowspan="1" colspan="1">1.30 to 7.52</td><td align="left" valign="top" rowspan="1" colspan="1">0.011</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Glucocorticoid excess</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> –</td><td align="left" valign="top" rowspan="1" colspan="1">36</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> +</td><td align="left" valign="top" rowspan="1" colspan="1">44</td><td align="left" valign="top" rowspan="1" colspan="1">1.92</td><td align="left" valign="top" rowspan="1" colspan="1">1.01 to 3.66</td><td align="left" valign="top" rowspan="1" colspan="1">0.048</td><td align="left" valign="top" rowspan="1" colspan="1">1.37</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.57 to 3.28</td><td align="left" valign="top" rowspan="1" colspan="1">0.477</td><td align="left" valign="top" rowspan="1" colspan="1">1.91</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.70 to 5.23</td><td align="left" valign="top" rowspan="1" colspan="1">0.208</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>CD3</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> –</td><td align="left" valign="top" rowspan="1" colspan="1">15</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> +</td><td align="left" valign="top" rowspan="1" colspan="1">92</td><td align="left" valign="top" rowspan="1" colspan="1">0.47</td><td align="left" valign="top" rowspan="1" colspan="1">0.25 to 0.87</td><td align="left" valign="top" rowspan="1" colspan="1">0.016</td><td align="left" valign="top" rowspan="1" colspan="1">0.55</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.23 to 1.30</td><td align="left" valign="top" rowspan="1" colspan="1">0.173</td><td align="left" valign="top" rowspan="1" colspan="1">0.19</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.06 to 0.57</td><td align="left" valign="top" rowspan="1" colspan="1">0.003</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> <bold>CD4</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> –</td><td align="left" valign="top" rowspan="1" colspan="1">27</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> +</td><td align="left" valign="top" rowspan="1" colspan="1">80</td><td align="left" valign="top" rowspan="1" colspan="1">0.39</td><td align="left" valign="top" rowspan="1" colspan="1">0.23 to 0.67</td><td align="left" valign="top" rowspan="1" colspan="1">0.001</td><td align="left" valign="top" rowspan="1" colspan="1">0.58</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.29 to 1.18</td><td align="left" valign="top" rowspan="1" colspan="1">0.134</td><td align="left" valign="top" rowspan="1" colspan="1">0.30</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.13 to 0.66</td><td align="left" valign="top" rowspan="1" colspan="1">0.003</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>CD8</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> –</td><td align="left" valign="top" rowspan="1" colspan="1">18</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> +</td><td align="left" valign="top" rowspan="1" colspan="1">89</td><td align="left" valign="top" rowspan="1" colspan="1">0.47</td><td align="left" valign="top" rowspan="1" colspan="1">0.26 to 0.85</td><td align="left" valign="top" rowspan="1" colspan="1">0.013</td><td align="left" valign="top" rowspan="1" colspan="1">0.52</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.23 to 1.14</td><td align="left" valign="top" rowspan="1" colspan="1">0.101</td><td align="left" valign="top" rowspan="1" colspan="1">0.29</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.11 to 0.81</td><td align="left" valign="top" rowspan="1" colspan="1">0.018</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>FoxP3</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> –</td><td align="left" valign="top" rowspan="1" colspan="1">50</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> +<break/>
<break/>
</td><td align="left" valign="top" rowspan="1" colspan="1">57</td><td align="left" valign="top" rowspan="1" colspan="1">0.87</td><td align="left" valign="top" rowspan="1" colspan="1">0.52 to 1.48</td><td align="left" valign="top" rowspan="1" colspan="1">0.617</td><td align="left" valign="top" rowspan="1" colspan="1">0.77</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.41 to 1.45</td><td align="left" valign="top" rowspan="1" colspan="1">0.414</td><td align="left" valign="top" rowspan="1" colspan="1">0.64</td><td align="char" char="." valign="top" rowspan="1" colspan="1">0.30 to 1.36</td><td align="left" valign="top" rowspan="1" colspan="1">0.246</td></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Age</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1">-</td><td align="left" valign="top" rowspan="1" colspan="1">0.97</td><td align="left" valign="top" rowspan="1" colspan="1">0.95 to 0.99</td><td align="left" valign="top" rowspan="1" colspan="1">0.003</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Sex</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Female</td><td align="left" valign="top" rowspan="1" colspan="1">38</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> Male</td><td align="left" valign="top" rowspan="1" colspan="1">21</td><td align="left" valign="top" rowspan="1" colspan="1">1.70</td><td align="left" valign="top" rowspan="1" colspan="1">0.92 to 3.14</td><td align="left" valign="top" rowspan="1" colspan="1">0.090</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>ENSAT stage</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> I/II</td><td align="left" valign="top" rowspan="1" colspan="1">40</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> III</td><td align="left" valign="top" rowspan="1" colspan="1">19</td><td align="left" valign="top" rowspan="1" colspan="1">1.56</td><td align="left" valign="top" rowspan="1" colspan="1">0.84 to 2.92</td><td align="left" valign="top" rowspan="1" colspan="1">0.162</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Ki67 tumor index</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> 0-19 %</td><td align="left" valign="top" rowspan="1" colspan="1">33</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> 20-100%</td><td align="left" valign="top" rowspan="1" colspan="1">23</td><td align="left" valign="top" rowspan="1" colspan="1">4.14</td><td align="left" valign="top" rowspan="1" colspan="1">2.09 to 8.21</td><td align="left" valign="top" rowspan="1" colspan="1">&lt;0.001</td><td align="left" valign="top" rowspan="1" colspan="1">3.84</td><td align="left" valign="top" rowspan="1" colspan="1">1.90 to 7.75</td><td align="left" valign="top" rowspan="1" colspan="1">&lt;0.001</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>Glucocorticoid excess</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> -</td><td align="left" valign="top" rowspan="1" colspan="1">26</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> +</td><td align="left" valign="top" rowspan="1" colspan="1">22</td><td align="left" valign="top" rowspan="1" colspan="1">1.143</td><td align="left" valign="top" rowspan="1" colspan="1">0.72 to 2.84</td><td align="left" valign="top" rowspan="1" colspan="1">0.303</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1">–</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>CD3</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> -</td><td align="left" valign="top" rowspan="1" colspan="1">5</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> +</td><td align="left" valign="top" rowspan="1" colspan="1">54</td><td align="left" valign="top" rowspan="1" colspan="1">0.31</td><td align="left" valign="top" rowspan="1" colspan="1">0.11 to 0.82</td><td align="left" valign="top" rowspan="1" colspan="1">0.019</td><td align="left" valign="top" rowspan="1" colspan="1">0.42</td><td align="left" valign="top" rowspan="1" colspan="1">0.14 to 1.29</td><td align="left" valign="top" rowspan="1" colspan="1">0.130</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>CD4</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> -</td><td align="left" valign="top" rowspan="1" colspan="1">8</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> +</td><td align="left" valign="top" rowspan="1" colspan="1">51</td><td align="left" valign="top" rowspan="1" colspan="1">0.43</td><td align="left" valign="top" rowspan="1" colspan="1">0.19 to 0.94</td><td align="left" valign="top" rowspan="1" colspan="1">0.033</td><td align="left" valign="top" rowspan="1" colspan="1">0.57</td><td align="left" valign="top" rowspan="1" colspan="1">0.24 to 1.34</td><td align="left" valign="top" rowspan="1" colspan="1">0.195</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>CD8</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> -</td><td align="left" valign="top" rowspan="1" colspan="1">6</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> +</td><td align="left" valign="top" rowspan="1" colspan="1">53</td><td align="left" valign="top" rowspan="1" colspan="1">0.42</td><td align="left" valign="top" rowspan="1" colspan="1">0.17 to 1.03</td><td align="left" valign="top" rowspan="1" colspan="1">0.049</td><td align="left" valign="top" rowspan="1" colspan="1">0.45</td><td align="left" valign="top" rowspan="1" colspan="1">0.17 to 1.21</td><td align="left" valign="top" rowspan="1" colspan="1">0.113</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1">
<bold>FoxP3</bold>
</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> -</td><td align="left" valign="top" rowspan="1" colspan="1">25</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr><tr><td align="left" valign="top" rowspan="1" colspan="1"> +</td><td align="left" valign="top" rowspan="1" colspan="1">34</td><td align="left" valign="top" rowspan="1" colspan="1">0.75</td><td align="left" valign="top" rowspan="1" colspan="1">0.41 to 1.38</td><td align="left" valign="top" rowspan="1" colspan="1">0.357</td><td align="left" valign="top" rowspan="1" colspan="1">0.40</td><td align="left" valign="top" rowspan="1" colspan="1">0.40 to 1.44</td><td align="left" valign="top" rowspan="1" colspan="1">0.396</td><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/><td align="left" valign="top" rowspan="1" colspan="1"/></tr></tbody></table><table-wrap-foot><fn id="T2_FN1"><p>A, for overall survival analysis, only samples from ACC patients with primary tumors and applicable clinical data were included (n=107). For multivariate analyzes, complete available data from 83 (all) and 67 (localized, non-metastatic) ACC tumors were included out of 107 and 86 samples, respectively. Male sex, European Network for the Study of Adrenal Tumors (ENSAT) stage I/II, low proliferating Ki67 (0% to 19%), lack of glucocorticoid excess were classified as reference category.</p></fn><fn id="T2_FN2"><p>B, for recurrence-free survival analysis, only samples from ACC patients with primary, localized tumors, R0/RX-state and applicable clinical data were included (n=59). For multivariate analyzes, complete available data from 56 ACC tumors (all) were included. Low proliferating Ki67 (0% to 19%) was classified as reference category in multivariate analyzes.</p></fn><fn id="T2_FN3"><p>In two cases, no data regarding resection and in three cases no data about proliferation state available. Clinical data considering glucocorticoid secretion state was not determined in 11 cases.</p></fn></table-wrap-foot></table-wrap><p>For differences in tumor infiltration depending on tumor site and glucocorticoid excess, the t-test, an unpaired non-parametric Mann-Whitney test with median values with 95% CI, was performed; whereas, for per sample analyzes, a non-parametric Wilcoxon matched-pairs signed-rank test was used. Correlations between different variables was performed with <ext-link ext-link-type="uri" xlink:href="https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test" xlink:type="simple">Pearson's chi-squared test</ext-link> with Phi coefficient as a measure for effect size.</p></sec></sec><sec id="s3" sec-type="results"><title>Results</title><sec id="s3-1"><title>ACC-infiltrating immune cells in primary tumors, local recurrences and metastases</title><p>Using immunofluorescence microscopy, an infiltration of CD3<sup>+</sup> T cells was detectable in 86% of the 146 ACC samples, but the median number of these cells was rather low (7.7 cells/HPF; <xref ref-type="fig" rid="F1">figure 1A</xref>). We visualized CD3<sup>+</sup>CD4<sup>+</sup> T helper cells in 74% of the ACC samples (<xref ref-type="fig" rid="F1">figure 1B</xref>), while CD3<sup>+</sup>CD8<sup>+</sup> cytotoxic T lymphocytes were the most frequent infiltrating cell type (84%, <xref ref-type="fig" rid="F1">figure 1C</xref>). In contrast, only 49% of the tumors were positive for CD3<sup>+</sup>CD4<sup>+</sup>FoxP3<sup>+</sup> regulatory T cells (<xref ref-type="fig" rid="F1">figure 1D</xref>). Detailed results of the quantification of ACC-infiltrating T cells are given in <xref ref-type="supplementary-material" rid="SP1">online supplementary table S2</xref>.</p><fig position="float" id="F1" orientation="portrait"><object-id pub-id-type="publisher-id">F1</object-id><label>Figure 1</label><caption><p>Immunofluorescence staining of tumor-infiltrating lymphocytes in adrenocortical carcinoma, n=146, (A–D). ACC,adrenocortical carcinoma; HPF, high power field; TILs, tumor-infiltrating T lymphocytes.</p></caption><graphic xlink:href="jitc-2019-000469f01" position="float" orientation="portrait" xlink:type="simple"/></fig><p>We further analyzed potential differences in TILs between primary tumors, local recurrences and metastases. Primary ACC tumors (n=107) in comparison to metastases (n=23) showed a trend of higher median number of CD3<sup>+</sup>− (8.5 vs. 5.4 per HPF) as well as CD3<sup>+</sup>CD4<sup>+</sup>− and CD3<sup>+</sup>CD8<sup>+</sup> T cells (<xref ref-type="fig" rid="F2">figure 2A–C</xref>, online <xref ref-type="supplementary-material" rid="SP1">supplementary table S2</xref>). Of note, local tumors of stage IV ACC were infiltrated the most by TILs. They showed the highest median infiltration of CD3<sup>+</sup>−, CD3<sup>+</sup>CD4<sup>+</sup>− and CD3<sup>+</sup>CD8<sup>+</sup> T cells of 19.2, 14.4 and 8.2 cells per HPF, respectively. In addition, local recurrences are frequently infiltrated (87.5%), even if 5.1 CD3<sup>+-</sup>, 5.0 CD3<sup>+</sup>CD4<sup>+</sup>− and 5.0 CD3<sup>+</sup>CD8<sup>+</sup> T cells per HPF are comparatively low (online <xref ref-type="supplementary-material" rid="SP1">supplementary table S2</xref>).</p><fig position="float" id="F2" orientation="portrait"><object-id pub-id-type="publisher-id">F2</object-id><label>Figure 2</label><caption><p>Comparison of tumor-infiltrating lymphocytes in primary tumors and metastases of ACC (median 95% CI). A−C, CD3<sup>+</sup>− (A), CD4<sup>+</sup>− (B) and CD8<sup>+</sup>− (C) T cells infiltrated in adrenocortical tumor samples from primary localized tumor tissue (n=107) or distant metastases (n=23) of entire cohort. Per sample analysis (D–F), CD3<sup>+</sup>− (D), CD4<sup>+</sup>− (E) and CD8<sup>+</sup>− (F) T cells quantified in primary tumor and metastasis of the same patient (n=14). ACC,adrenocortical carcinoma; HPF, high power field.</p></caption><graphic xlink:href="jitc-2019-000469f02" position="float" orientation="portrait" xlink:type="simple"/></fig><p>For a more detailed picture, a longitudinal analysis was performed in 14 patients, in whom both primary tumors and distant metastases were available. In agreement with the above-mentioned results, T cell infiltration was significantly lower in metastases compared with matched primary tumors. For both CD3<sup>+</sup>− and CD3<sup>+</sup>CD4<sup>+</sup> T cells, a clear decline of immune cells was detectable in 12 of 14 patients and for CD3<sup>+</sup>CD8<sup>+</sup> T cells, the same trend was seen in all but one single patient (<xref ref-type="fig" rid="F2">figure 2</xref>, D–F). Accordingly, the median number of CD3<sup>+</sup>−, CD3<sup>+</sup>CD4<sup>+</sup>−, and CD3<sup>+</sup>CD8<sup>+</sup> T cells were higher in primary tumors (4.5, 4.7 and 4.4 cells per HPF, respectively) than in metastases (2.15, 1.15 and 2.0 cells per HPF, respectively).</p></sec><sec id="s3-2"><title>Overall and progression-free survival is associated with the presence of tumor-infiltrating immune cells</title><p>To evaluate the impact of TILs on ACC patient survival, we first investigated overall survival in all 107 patients with available primary tumor samples by using univariate analyzes. The presence of ACC-infiltrating T lymphocytes was significantly associated with better overall survival in comparison to non-infiltrated ACC (<xref ref-type="fig" rid="F3">figure 3A–C</xref>, <xref ref-type="table" rid="T2">table 2A</xref>). More precisely, ACC patients with a primary tumor with CD3<sup>+</sup> T cell infiltration showed a median survival of 81.8 months, whereas in the absence of CD3<sup>+</sup> TILs the median survival was only 29.7 months (<xref ref-type="fig" rid="F3">figure 3</xref>, <xref ref-type="table" rid="T2">table 2A</xref>). Similar results were seen for CD3<sup>+</sup>CD4<sup>+</sup>− and CD3<sup>+</sup>CD8<sup>+</sup> cytotoxic T cell infiltrated tumors with a median overall survival of 91.4 vs. 27.0 and 81.8 vs. 21.0 months, respectively (<xref ref-type="fig" rid="F3">figure 3</xref>B+C, <xref ref-type="table" rid="T2">table 2A</xref>). In contrast, in our series, was no significant association of CD3<sup>+</sup>CD4<sup>+</sup>FoxP3<sup>+</sup> regulatory T cell infiltration and overall survival (<xref ref-type="table" rid="T2">table 2A</xref>).</p><fig position="float" id="F3" orientation="portrait"><object-id pub-id-type="publisher-id">F3</object-id><label>Figure 3</label><caption><p>Overall survival (A–C) and recurrence-free survival (D–F) in patients with adrenocortical carcinoma according to CD3<sup>+</sup>−, CD4<sup>+</sup>− and CD8<sup>+</sup> TILs, determined by immunofluorescence. Kaplan-Meier overall survival of all ACC patients with primary tumor samples (n=107) influenced by CD3<sup>+</sup>− (A), CD4<sup>+</sup>− (B) and CD8<sup>+</sup>− (C) T cell infiltration. In a subgroup, patients after complete surgical resection and in localized ACC, a Kaplan-Meier recurrence-free survival analysis was performed regarding CD3<sup>+</sup>− (D), CD4<sup>+</sup>− (E) and CD8<sup>+</sup>− (F) tumor infiltration (n=59). Multivariate Cox regression, overall survival (G–I) in patients with localized, non-metastatic ACC according to different influencing factors; ENSAT stage, resection status, Ki67 proliferation index and TILs. Overall survival of all ACC patients with localized, non-metastatic primary tumor samples (n=67) influenced by CD3<sup>+</sup>− (G), CD4<sup>+</sup>− (H) and CD8<sup>+</sup>− (I) T cell infiltration independently of different factors. ACC,adrenocortical carcinoma; ENSAT, European Network for the Study of Adrenal Tumors; TILs, tumor-infiltrating T lymphocytes.</p></caption><graphic xlink:href="jitc-2019-000469f03" position="float" orientation="portrait" xlink:type="simple"/></fig><p>Multivariate overall survival analyzes, including other potential prognostic factors, European Network for the Study of Adrenal Tumors (ENSAT) stage, resection status and Ki67 proliferation index, we confirmed a significant independent association of TILs only in patients with localized, non-metastatic tumors, whereas this effect was diminished when all patients (including those with metastatic disease) were analyzed (<xref ref-type="fig" rid="F3">figure 3G–I</xref>, <xref ref-type="table" rid="T2">table 2A</xref>). However, in localized tumors, this effect was very strong for both, CD3<sup>+</sup>CD4<sup>+</sup>− and CD3<sup>+</sup>CD8<sup>+</sup> T cells with a threefold mortality risk reduction (HR 0.3, 95% CI 0.13 to 0.66 and HR 0.29, 95% CI 0.11 to 0.81, respectively; <xref ref-type="fig" rid="F3">figure 3G–I</xref>, <xref ref-type="table" rid="T2">table 2A</xref>).</p><p>Subsequently, to investigate the influence of TILs on recurrence-free survival, we focused on a subgroup of ACC patients with primary localized, non-metastatic tumors after complete surgical resection (n=59). Similarly to the results on overall survival, CD3<sup>+</sup>−, CD3<sup>+</sup>CD4<sup>+</sup>− and CD3<sup>+</sup>CD8<sup>+</sup> TILs were associated with a significantly longer median recurrence-free survival (24.2 vs. 10.7 months, 25.5 vs. 10.7 months and 24.2 vs 10.7 months, respectively; <xref ref-type="fig" rid="F3">figure 3D–F</xref>, <xref ref-type="table" rid="T2">table 2B</xref>). However, in multivariate analysis including Ki67 index these effects lost significance (<xref ref-type="table" rid="T2">table 2B</xref>).</p></sec><sec id="s3-3"><title>Influence of glucocorticoids on tumor-infiltrating lymphocytes</title><p>In order to investigate the immunosuppressive effect of glucocorticoids on T cells, the presence of TILs in primary ACC samples and tumor-induced autonomous cortisol excess were correlated using Pearson correlation coefficient. Of note, among all T cell subtypes analyzed, only CD3<sup>+</sup>CD4<sup>+</sup> TILs showed a significant negative correlation with glucocorticoids in patients with ACC (Phi=−0.290, p=0.009; <xref ref-type="fig" rid="F4">figure 4</xref>, <xref ref-type="supplementary-material" rid="SP1">online supplementary table S3</xref>. The number of CD3<sup>+</sup>CD4<sup>+</sup> TILs was significantly higher in ACC without glucocorticoid excess (median 7.7 vs. 1.8 cells per HPF; <xref ref-type="fig" rid="F4">figure 4A</xref>). 32 out of 36 primary tumor samples (89%) from patients without glucocorticoid excess had CD3<sup>+</sup>CD4<sup>+</sup> T cell tumor infiltration, whereas this occurred in only 64% of cases with hypercortisolism. In line with this, 80% of the CD3<sup>+</sup>CD4<sup>+</sup> T cell-depleted ACC were detected in patients with glucocorticoid excess. Similar results were observed focusing on the entire cohort including local recurrences and metastases (Phi=−0.260, p=0.006; <xref ref-type="supplementary-material" rid="SP1">online supplementary table S3</xref>).</p><fig position="float" id="F4" orientation="portrait"><object-id pub-id-type="publisher-id">F4</object-id><label>Figure 4</label><caption><p>Correlation of glucocorticoids and CD3<sup>+</sup>CD4<sup>+</sup> T cells. (A) An unpaired non-parametric Mann-Whitney test was performed for correlation of the number of CD3<sup>+</sup>CD4<sup>+</sup> TILs with glucocorticoid excess or hormone inactive primary ACC (box/whiskers 10 to 90 percentile; p=0.0007). (B) Overall survival in patients with CD3<sup>+</sup>CD4<sup>+</sup> T cell-infiltrated or T cell-depleted primary ACC considering presence or lack of glucocorticoid excess (n=80). Primary tumors with available hormone secretion status were classified as ‘lymphocytes-infiltrated’ depending on positive immune infiltration (blue) and in case of absent tumor-infiltrating immune cells as ‘lymphocytes-depleted’ (red). Additionally, further subdivision of phenotypes according to glucocorticoid excess or hormonal inactivity. ACC,adrenocortical carcinoma; HPF, high power field; TILs, tumor-infiltrating Tlymphocytes.</p></caption><graphic xlink:href="jitc-2019-000469f04" position="float" orientation="portrait" xlink:type="simple"/></fig><p>At last, we performed overall survival analyzes considering not only immune infiltration, but also ACC-induced hypercortisolism. This resulted in a more refined prognostication with four subgroups (<xref ref-type="fig" rid="F4">figure 4B</xref>). Tumors with CD3<sup>+</sup>CD4<sup>+</sup> T cell infiltration and without glucocorticoid excess exhibited the most favorable overall survival with a median of 121.0 months, followed by ACC tumors with presence of infiltrated immune cells and glucocorticoid excess (median overall survival: 75.0 months). The prognosis of the lymphocyte-depleted tumors was clearly worse and again glucocorticoid dependent (median overall survival without hypercortisolism: 44.9 months vs. 27.0 months with cortisol excess). This implies a 1.44 and 3.82 times higher risk for death with excessive glucocorticoid secretion in CD3<sup>+</sup>CD4<sup>+</sup> T cell-infiltrated and T cell-depleted ACC in comparison to CD3<sup>+</sup>CD4<sup>+</sup> T cell-infiltrated and hormone inactive tumors, respectively (<xref ref-type="fig" rid="F4">figure 4B</xref>).</p></sec></sec><sec id="s4" sec-type="discussion"><title>Discussion</title><p>In this first large study on immune cell infiltration in ACC, we demonstrated a significant impact of CD3<sup>+</sup>−, CD3<sup>+</sup>CD4<sup>+</sup>− and CD3<sup>+</sup>CD8<sup>+</sup> TILs on clinical outcome. In particular, in localized, non-metastatic ACC the effect of TILs on overall survival was independent of clinically relevant factors, like ENSAT stage, resection status and Ki67 index and remarkably with a relative risk reduction of about 70%. Additionally, our study suggests a relevant influence of tumor-induced glucocorticoids on intratumorous CD3<sup>+</sup>CD4<sup>+</sup> T cells and overall prognosis.</p><p>Since CD3<sup>+</sup>CD4<sup>+</sup>− and CD3<sup>+</sup>CD8<sup>+</sup> T cells are powerful assistants in preventing and combating cancer, their presence in the tumor microenvironment and within the tumor mass is crucial. The fraction of lymphocytes infiltrated within tumors varied considerably across tumor types and depends on different factors. Highly immune infiltrated tumors like lung adenocarcinoma and cutaneous melanoma are highly responsive to immune checkpoint therapies.<xref ref-type="bibr" rid="R24">24</xref> In contrast, ACC is after uveal melanoma and prostate adenocarcinoma the tumor with the lowest leukocyte fraction according to Thorsson <italic toggle="yes">et al</italic>, who analyzed the composition of tumor immune infiltration within the TCGA cohort on the level of RNA expression.<xref ref-type="bibr" rid="R24">24</xref>
</p><p>Here, we quantified CD3<sup>+</sup>−, CD3<sup>+</sup>CD4<sup>+</sup>−, CD3<sup>+</sup>CD8<sup>+</sup>− and CD3<sup>+</sup>CD4<sup>+</sup>FoxP3<sup>+</sup> TILs in a cohort of 146 ACC patients and studied the influence of their presence on patients’ survival. Thereby, we provided evidence that—in contrast to a widespread perception—the majority of ACC samples (&gt;85%) contained tumor-infiltrating T lymphocytes; as recently shown in childhood ACC.<xref ref-type="bibr" rid="R25">25</xref> However, we have to acknowledge that the number of TILs is rather low in comparison to other tumors.<xref ref-type="bibr" rid="R26 R27">26 27</xref> Nevertheless, we could demonstrate a significant impact of TILs on ACC patients’ overall and recurrence-free survival. Many studies have shown the strong influence of TILs on patients’ prognosis, also independently of the choice of treatment. For instance, Zhang <italic toggle="yes">et al</italic> demonstrated already in 2003 an improved clinical outcome in advanced ovarian carcinoma depending on the presence or absence of lymphocytes. Immune depleted ovarian tumors show a median progression-free survival of only 7.6 months, while intratumorous immune infiltration is associated with 74.5 months until recurrence.<xref ref-type="bibr" rid="R27">27</xref> A similarly favorable impact of tumor infiltration on overall and recurrence-free survival was observed in the present study of ACC. Accordingly, CD3<sup>+-</sup>, CD3<sup>+</sup>CD4<sup>+-</sup> and CD3<sup>+</sup>CD8<sup>+</sup> TIL number was associated with a risk reduction of 53% to 61% for death and 57% to 69% for recurrence. In particular, TILs in localized, non-metastatic ACC may serve as a prognostic marker independently of clinically established factors, like ENSAT stage, resection status, and Ki67 index leading to a risk reduction for death of 70% to 81%. Furthermore, our study indicates that TILs are even less frequent in metastatic lesions in comparison to primary tumors. Similar observations were made in other tumors like metastatic breast cancer that is characterized by lower immune cell infiltration relative to its paired primary tumor.<xref ref-type="bibr" rid="R28">28</xref>
</p><p>Several clinical studies on immune checkpoint inhibitors (ICIs), which flare up antitumor immune responses, showed major therapeutic improvements in many tumor entities. The first approved cytotoxic T-lymphocytes antigen-4 (CTLA-4) inhibitor, ipilimumab, demonstrated enormous success in advanced melanoma.<xref ref-type="bibr" rid="R29">29</xref> Other ICIs targeting programmed cell death-1 (PD-1), nivolumab and pembrolizumab, exhibit very promising clinical benefit in non-small cell lung carcinoma, melanoma, Hodgkin's lymphoma, and other tumor entities;<xref ref-type="bibr" rid="R30 R31 R32">30–32</xref> the combination of CTLA-4 and PD-1 targeting drugs is even more potent.<xref ref-type="bibr" rid="R31">31</xref> However, so far, four small studies with a total of 115 patients have been published in ACC and overall the results were disappointing; only 15 patients experienced partial response and 12 long-term disease control for more than 12 months.<xref ref-type="bibr" rid="R7 R8 R9 R10">7–10</xref>
</p><p>Our study may shed some light, why strong immune infiltration is rarely seen in ACC and why current immunological therapeutic options were of limited efficacy. The fact that we found a negative correlation of tumor-associated glucocorticoid excess and T helper cells supports an expected role of steroids in this context. Anti-inflammatory impact of glucocorticoids was especially observed towards CD3<sup>+</sup>CD4<sup>+</sup> TILs, which play a major role in immune activation and regulation of immune response. As indicated by our large cohort, ACC patients without hypercortisolism, but with CD3<sup>+</sup>CD4<sup>+</sup> TILs may benefit from a major survival advantage compared to patients with hypercortisolim with or—even more pronouncedly—without CD3<sup>+</sup>CD4<sup>+</sup> T cell infiltrated tumors (121 vs. 75 vs. 27 months). These observations might also explain why hypercortisolism has a significant effect on survival.<xref ref-type="bibr" rid="R11 R12 R13">11–13</xref> In these patients, antitumorous immune response may be diminished which may lead to a higher rate of recurrence and ACC-related deaths.</p><p>It is well established that glucocorticoids execute anti-inflammatory, pro-apoptotic effects and have a strong impact on multiple physiological processes, that is, cell differentiation, proliferation, migration and apoptosis. Furthermore, it has been shown that hypersecretion of glucocorticoids enhances tumor cell proliferation in vitro and in vivo.<xref ref-type="bibr" rid="R33">33</xref> Additionally, glucocorticoids also hamper peripheral T lymphocyte function, reducing their potential to eradicate tumor cells in the case of active ACC. The tumor-associated elevation of glucocorticoids has been observed in many cancers and associated with impaired prognosis and metastatic spread. For instance, in renal cell carcinoma, high levels of serum cortisol were positively correlated with tumor size and impaired prognosis.<xref ref-type="bibr" rid="R34">34</xref> Inversely, a study concerning optimal application of steroids in anticancer therapy showed glucocorticoids to enhance tumorous PD-1 expression resulting in immune evasion.<xref ref-type="bibr" rid="R35">35</xref> Thus, ACC-induced hypercortisolism might be a major contributor to the ‘immunological coldness’ of ACC.<xref ref-type="bibr" rid="R36">36</xref>
</p><p>Our study might provide at least three potential explanations for the disappointing results of the first trials with checkpoint inhibitors in ACC.<xref ref-type="bibr" rid="R7 R8 R9 R10">7–10</xref> (i) Many ACC are probably infiltrated by too few or no helper and cytotoxic T cells that would allow flaring up an antitumor response by checkpoint inhibitors. (ii) The fact that metastatic lesions are in average even ‘colder’ than the primary tumors suggests that immune escape mechanisms are even more developed in advanced ACC increasing the challenge for immunotherapies.<xref ref-type="bibr" rid="R36">36</xref> (iii) The likelihood that glucocorticoids are—at least in part—responsible for the poor immunogenicity is high and further supported by the demonstrated negative correlation of hypercortisolism and T helper cells in ACC. However, one has to bear in mind that intratumorous glucocorticoid concentrations might be also much higher in clinically non-functioning ACC (without systemically measurable cortisol levels) in comparison to other solid tumors.</p><p>The main limitations of our study are the relatively low number of patients and tumor samples, especially of metastatic material compared with other tumor entities. However, the extraordinary rarity of ACC renders the collection of a larger series of clinically annotated cases. This retrospective nature of the study made the availability of certain clinical data challenging.</p><p>It might also be interesting to correlate TILs and glucocorticoid excess in a quantitative manner or with intratumorous steroid excess. However, this requires also a prospective approach.</p><p>Our study has several clinical implications: It is obvious that future immunotherapy trials in ACC require selection of patients. In addition to parameters like PD-1/PD-L1 (programmed cell death-ligand-1) expression or tumor mutational burden, the presence of TILs could be a promising predictive marker that should be explored. Instead of analyzing primary tumor samples, metastatic lesions could be the better and more reliable context. In addition, it is most likely useful to reduce the effect of glucocorticoids by inhibiting steroidogenesis<xref ref-type="bibr" rid="R37">37</xref> or blocking glucocorticoid receptors.<xref ref-type="bibr" rid="R38">38</xref> Failure to reduce the intratumorous immune suppressive potential of glucocorticoids, even lead to inefficacy of immunotherapy in ACC without detectable cortisol excess. Finally, adoption of concepts investigated in other tumor entities to transform ‘cold’ tumors in ‘hot’ tumors<xref ref-type="bibr" rid="R36 R39">36 39</xref> are probably required in addition to the measures mentioned above.</p><p>In conclusion, tumor-infiltrating CD3<sup>+</sup>−, CD3<sup>+</sup>CD4<sup>+</sup>− and CD3<sup>+</sup>CD8<sup>+</sup> T cells are of major prognostic and clinical relevance in ACC patients. In addition, the interplay of glucocorticoids and immune cells are most likely crucial for ACC patients’ survival. Consequently, a combined therapy of at least immune activating approaches and blockers of glucocorticoid synthesis or action might be required to improve clinical outcome in ACC. However, this hypothesis requires prospective investigations.</p></sec></body><back><ack><p>This study was enabled through the continuous support in sample collection and preparation by Sonja Gommersbach and Martina Zink. Additionally, we are thankful for constant and precise collection and documentation of clinical data from Michaela Haaf and Cristina L Ronchi.</p></ack><fn-group><fn fn-type="other"><label>Twitter</label><p>@endo_wue</p></fn><fn fn-type="other"><label>Contributors</label><p>Conceptualization: MK, MF and SS; Methodology: LL, BA, JS, IS and IW; Formal analysis: LL, BA and SS; Resources: MK, MF and SS; Data curation: LL and BA; Writing-original draft preparation: LL, MK, MF and SS; Writing-review and editing: LL, BA, JS, IS, IW, MK, MF and SS; Visualization: LL and IW; Supervision: MK, MF and SS; Funding acquisition: MK, MF and SS.</p></fn><fn fn-type="other"><label>Funding</label><p>This study was funded by the German Research Foundation (Deutsche Forschungsgemeinschaft (DFG); project numbers: 314061271 – CRC/TRR 205 to MF and MK and FA-466-4-2 to MF and KR4371/1-2 to MK), and by the Else Kröner-Fresenius Foundation (Else Kröner-Fresenius Stiftung (EKFS); project number: 2016 A96 to SS and MK). Part of publication costs were supported by the Open Access Publication Fund of the University of Würzburg.</p></fn><fn fn-type="conflict"><label>Competing interests</label><p>None declared.</p></fn><fn fn-type="other"><label>Patient consent for publication</label><p>This manuscript does not contain personal and/or medical information about an identifiable living individual. All anonymous patients provided a written informed consent.</p></fn><fn fn-type="other"><label>Ethics approval</label><p>The study was conducted as part of the European Network for the Study of Adrenal Tumors (ENSAT) ACC Registry, conformed to the principles of the Declaration of Helsinki, the Good Clinical Practice Guidelines and was approved by the ethics committee of the University of Würzburg (#88/11). All patients provided a written informed consent for collecting tissue and clinical data, including follow-up and survival data. Control tissues (three non-pathological tonsils) were provided by the tissue biobank of the Institute of Pathology of the University of Würzburg and were analyzed in an anonymous fashion. This manuscript does not contain personal and/or medical information about an identifiable living individual.</p></fn><fn fn-type="other"><label>Provenance and peer review</label><p>Not commissioned; externally peer reviewed.</p></fn><fn fn-type="other"><label>Data availability statement</label><p>All data relevant to the study are included in the article or uploaded as supplementary information.</p></fn></fn-group><ref-list><title>References</title><ref id="R1"><label>1</label><mixed-citation publication-type="journal" xlink:type="simple">
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