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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">87</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:A116C711-4C18-5A38-8F1E-5E97753A8A64</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Folia Medica</journal-title>
        <abbrev-journal-title xml:lang="en">FM</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0204-8043</issn>
      <issn pub-type="epub">1314-2143</issn>
      <publisher>
        <publisher-name>Plovdiv Medical University</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/folmed.68.e163476</article-id>
      <article-id pub-id-type="publisher-id">163476</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Gastroenterology &amp; Hepatology</subject>
          <subject>General Pathology</subject>
          <subject>Immunology</subject>
          <subject>Oncology</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Immunoscore as a prognostic marker in colorectal cancer</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Iliev</surname>
            <given-names>Yanislav Grishev</given-names>
          </name>
          <email xlink:type="simple">adic@abv.bg</email>
          <uri content-type="orcid">https://orcid.org/0000-0001-7299-3994</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Andonov</surname>
            <given-names>Vladimir Nikolov</given-names>
          </name>
          <xref ref-type="aff" rid="A2">2</xref>
          <xref ref-type="aff" rid="A3">3</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Poryazova-Markova</surname>
            <given-names>Elena Galabova</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0001-5919-9921</uri>
          <xref ref-type="aff" rid="A4">4</xref>
          <xref ref-type="aff" rid="A5">5</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">Department of Medical Oncology, Pulmed University Hospital, Plovdiv, Bulgaria</addr-line>
        <institution>Department of Medical Oncology, Pulmed University Hospital</institution>
        <addr-line content-type="city">Plovdiv</addr-line>
        <country>Bulgaria</country>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line content-type="verbatim">Second Department of Internal Diseases, Section of Gastroenterology, Medical University of Plovdiv, Plovdiv, Bulgaria</addr-line>
        <institution>Kaspela University Hospital</institution>
        <addr-line content-type="city">Plovdiv</addr-line>
        <country>Bulgaria</country>
      </aff>
      <aff id="A3">
        <label>3</label>
        <addr-line content-type="verbatim">Kaspela University Hospital, Plovdiv, Bulgaria</addr-line>
        <institution>Second Department of Internal Diseases, Section of Gastroenterology, Medical University of Plovdiv</institution>
        <addr-line content-type="city">Plovdiv</addr-line>
        <country>Bulgaria</country>
      </aff>
      <aff id="A4">
        <label>4</label>
        <addr-line content-type="verbatim">Department of General and Clinical Pathology, Medical University of Plovdiv, Plovdiv, Bulgaria</addr-line>
        <institution>Department of General and Clinical Pathology, Medical University of Plovdiv</institution>
        <addr-line content-type="city">Plovdiv</addr-line>
        <country>Bulgaria</country>
      </aff>
      <aff id="A5">
        <label>5</label>
        <addr-line content-type="verbatim">Pulmed University Hospital, Plovdiv, Bulgaria</addr-line>
        <institution>Pulmed University Hospital</institution>
        <addr-line content-type="city">Plovdiv</addr-line>
        <country>Bulgaria</country>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p><bold>Corresponding author</bold>: Yanislav Iliev, Department of Medical Oncology, UMHAT Pulmed, 1a Perushtica Str. 4002 Plovdiv, Bulgaria; Email: <email xlink:type="simple">yanislaviliev@yahoo.com</email>; <ext-link xlink:href="mailto:adic@abv.bg" ext-link-type="uri">adic@abv.bg</ext-link>; Tel: +359 898 880 087</p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>06</day>
        <month>08</month>
        <year>2026</year>
      </pub-date>
      <volume>68</volume>
      <issue>4</issue>
      <elocation-id>e163476</elocation-id>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/60D9F712-76ED-5AD6-A332-13A74905DD8A">60D9F712-76ED-5AD6-A332-13A74905DD8A</uri>
      <history>
        <date date-type="received">
          <day>12</day>
          <month>01</month>
          <year>2026</year>
        </date>
        <date date-type="accepted">
          <day>02</day>
          <month>03</month>
          <year>2026</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Yanislav Grishev Iliev, Vladimir Nikolov Andonov, Elena Galabova Poryazova-Markova</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <abstract>
        <p>
          <bold>Abstract</bold>
        </p>
        <p><bold>Introduction</bold>: Colorectal cancer is a leading cause of morbidity and mortality worldwide. Immunoscore provides important prognostic information in early-stage colorectal cancer, beyond traditional TNM staging.</p>
        <p><bold>Aim</bold>: To investigate the Immunoscore in early-stage colorectal cancer and its prognostic value.</p>
        <p><bold>Patients and methods</bold>: A retrospective pilot cohort of 35 patients was evaluated for recurrence, survival, toxicity, and clinical correlations with Immunoscore.</p>
        <p><bold>Results</bold>: High Immunoscore was associated with better outcomes, including zero recurrence. Immunoscore showed trends by tumor location, with stronger associations in younger patients. There was no correlation with carcinoembryonic antigen levels.</p>
        <p><bold>Conclusion</bold>: Our findings support the incorporation of Immunoscore into future colorectal cancer staging models.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>colorectal cancer</kwd>
        <kwd>Immunoscore</kwd>
        <kwd>prognosis</kwd>
        <kwd>recurrence</kwd>
      </kwd-group>
    </article-meta>
    <notes>
      <sec sec-type="Citation" id="sec1">
        <title>Citation</title>
        <p>Iliev YG, Andonov VN, Poryazova-Markova EG. Immunoscore as a prognostic marker in colorectal cancer. Folia Med (Plovdiv) 2026;68(4):е163476. <ext-link ext-link-type="doi" xlink:href="10.3897/folmed.68.e163476">doi: 10.3897/folmed.68.e163476</ext-link>.</p>
      </sec>
    </notes>
  </front>
  <body>
    <sec sec-type="Introduction" id="sec2">
      <title>Introduction</title>
      <p>Colorectal cancer (<abbrev xlink:title="Colorectal cancer">CRC</abbrev>) is one of the leading causes of cancer-related morbidity and mortality worldwide. In 2020, it ranked third in terms of newly diagnosed cases, with an annual total of 1.9 million cases.<sup>[<xref ref-type="bibr" rid="B1">1</xref>]</sup> In Europe, <abbrev xlink:title="Colorectal cancer">CRC</abbrev> is the second most common cancer after breast cancer and the second leading cause of cancer-related mortality after lung cancer.<sup>[<xref ref-type="bibr" rid="B2">2</xref>,<xref ref-type="bibr" rid="B3">3</xref>]</sup></p>
      <p>Traditional prognostic models are based predominantly on TNM staging, histopathological features, and molecular markers such as microsatellite instability (<abbrev xlink:title="microsatellite instability">MSI</abbrev>). However, this approach does not include the tumor microenvironment, particularly the host immune response, which has emerged as a critical determinant of cancer progression and recurrence.</p>
      <p>The Immunoscore (<abbrev xlink:title="Immunoscore">IS</abbrev>) is a standardized quantitative tool measuring the density of CD3+ and CD8+ T lymphocytes in the tumor core and invasive margin. It has been validated in multiple studies as a prognostic marker. High <abbrev xlink:title="Immunoscore">IS</abbrev> has been associated with better disease-free and overall survival in patients with colon cancer. However, the incorporation of Immunoscore into clinical decision-making remains limited, especially in early-stage disease, where adjuvant treatment strategies are debated.<sup>[<xref ref-type="bibr" rid="B10">10</xref>,<xref ref-type="bibr" rid="B11">11</xref>]</sup></p>
    </sec>
    <sec sec-type="Aim" id="sec3">
      <title>Aim</title>
      <p>The aim of this study was to investigate the prognostic value of Immunoscore in a real-world pilot cohort of Bulgarian patients with early-stage colorectal cancer. We examine its relationship with clinical outcomes, recurrence, tumor location, patient age, chemotherapy toxicity, and preoperative carcinoembryonic antigen (<abbrev xlink:title="carcinoembryonic antigen">CEA</abbrev>) levels. Our findings aim to support the clinical integration of Immunoscore into risk stratification models and treatment plans.</p>
    </sec>
    <sec sec-type="Patients and methods" id="sec4">
      <title>Patients and methods</title>
      <sec sec-type="Study design and patient selection" id="sec5">
        <title>Study design and patient selection</title>
        <p>This retrospective cohort study included 35 patients with histologically confirmed early-stage colorectal cancer (stage II and III) treated at Pulmed University Hospital, Plovdiv between 2016 and 2021. All patients underwent curative surgical resection and were amenable for adjuvant chemotherapy. Clinical and pathological data were extracted from medical records and pathology reports. The institutional review board (<abbrev xlink:title="institutional review board">IRB</abbrev>) committee at Pulmed University Hospital approved the study.</p>
      </sec>
      <sec sec-type="Immunoscore evaluation" id="sec6">
        <title>Immunoscore evaluation</title>
        <p><abbrev xlink:title="formalin fixed paraffin embedded">FFPE</abbrev> (formalin fixed paraffin embedded) tumor samples from each patient were collected retrospectively. Testing was performed in two laboratories HalioDx, Marseille and Center Pompidou, Paris blinded for clinical data.</p>
        <p>Immunoscore was evaluated using standardized immunohistochemistry combined with digital pathology. The densities of CD3+ and CD8+ T lymphocytes were quantified in two regions of interest: CT (tumor center) and IM (invasive margin). The precise quantification of immune cells and conversion to Immunoscore was done by dedicated software (Immunoscore Analyzer).<sup>[<xref ref-type="bibr" rid="B4">4</xref>,<xref ref-type="bibr" rid="B12">12</xref>]</sup></p>
        <p>The final <abbrev xlink:title="Immunoscore">IS</abbrev> scores were computed based on predefined percentiles for T-cell infiltration. The total <abbrev xlink:title="Immunoscore">IS</abbrev> score ranges from 0 to 4 <bold>(Table <xref ref-type="table" rid="T1">1</xref>)</bold>.</p>
        <table-wrap id="T1" position="float" orientation="portrait">
          <label>Table 1.</label>
          <caption>
            <p>Software Immunoscore categorization</p>
          </caption>
          <table>
            <tbody>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold><abbrev xlink:title="Immunoscore">IS</abbrev> Score</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>T-cell Infiltration</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Interpretation</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">0</td>
                <td rowspan="1" colspan="1">0–10%</td>
                <td rowspan="1" colspan="1">Very low infiltration (cold tumor)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">1</td>
                <td rowspan="1" colspan="1">&gt;10–25%</td>
                <td rowspan="1" colspan="1">Low infiltration</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">2</td>
                <td rowspan="1" colspan="1">&gt;25–70%</td>
                <td rowspan="1" colspan="1">Intermediate</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">3</td>
                <td rowspan="1" colspan="1">&gt;70–95%</td>
                <td rowspan="1" colspan="1">High infiltration</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">4</td>
                <td rowspan="1" colspan="1">&gt;95–100%</td>
                <td rowspan="1" colspan="1">Very high infiltration (hot tumor)</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>For clinical analysis, Immunoscore values were grouped into three categories:</p>
        <p>- Low <abbrev xlink:title="Immunoscore">IS</abbrev>: scores 0–1</p>
        <p>- Intermediate <abbrev xlink:title="Immunoscore">IS</abbrev>: score 2</p>
        <p>- High <abbrev xlink:title="Immunoscore">IS</abbrev>: scores 3–4</p>
      </sec>
      <sec sec-type="Clinical and laboratory variables" id="sec7">
        <title>Clinical and laboratory variables</title>
        <p>Data collected included age at surgery, sex, tumor location (right vs. left colon), T and N stage (AJCC 8th edition), and preoperative carcinoembryonic antigen levels.</p>
      </sec>
      <sec sec-type="Recurrence and survival analysis" id="sec8">
        <title>Recurrence and survival analysis</title>
        <p>Recurrence status was defined as documented locoregional or distant relapse within 4 years of surgery. Disease-free survival (<abbrev xlink:title="Disease-free survival">DFS</abbrev>) was calculated in months and categorized into 1-, 2-, 3-, and 4-year intervals.</p>
      </sec>
      <sec sec-type="Statistical analysis" id="sec9">
        <title>Statistical analysis</title>
        <p>Continuous variables were analyzed using t-tests or Mann–Whitney U-tests as appropriate. Group comparisons across <abbrev xlink:title="Immunoscore">IS</abbrev> categories were assessed using ANOVA and Kruskal–Wallis tests. Categorical variables were compared using chi-square or Fisher’s exact test.</p>
        <p>Correlation between <abbrev xlink:title="Immunoscore">IS</abbrev> and continuous parameters (e.g., <abbrev xlink:title="carcinoembryonic antigen">CEA</abbrev>) was evaluated with Pearson’s correlation. Kaplan-Meier survival curves were generated for recurrence and <abbrev xlink:title="Disease-free survival">DFS</abbrev>. A logistic regression model was performed to assess predictors of recurrence, including <abbrev xlink:title="Immunoscore">IS</abbrev> score, tumor location, and <abbrev xlink:title="carcinoembryonic antigen">CEA</abbrev>. A <italic>p</italic>-value &lt;0.05 was considered statistically significant.</p>
        <p>All analyses were performed using SPSS and Microsoft Excel.</p>
      </sec>
    </sec>
    <sec sec-type="Results" id="sec10">
      <title>Results</title>
      <p>A total of 35 patients with early-stage colorectal cancer (stages II and III) were included. The median age at surgery was 64.2 years (range: 37–80). The distribution by sex was 14 (40%) women and 21 (60%) men.</p>
      <p>The observed distribution of patients according to the results from Immunoscore are <abbrev xlink:title="Immunoscore">IS</abbrev> 0 (5.7%), <abbrev xlink:title="Immunoscore">IS</abbrev> 1 (17.1%), <abbrev xlink:title="Immunoscore">IS</abbrev> 2 (48.6%), <abbrev xlink:title="Immunoscore">IS</abbrev> 3 (20.0%), and IS4 (8.6%) <bold>(Fig. <xref ref-type="fig" rid="F1">1</xref>)</bold>. It correlates with results from other investigations worldwide. For example, the international STIC study of 423 patients from Asia shows similar results: 16.8%, 20.6%, 46.6%, 14.7%, and 1.4% (<abbrev xlink:title="Immunoscore">IS</abbrev> 0-<abbrev xlink:title="Immunoscore">IS</abbrev> 4).<sup>[<xref ref-type="bibr" rid="B13">13</xref>]</sup> Based on Immunoscore categories, 8 patients (23%) had low <abbrev xlink:title="Immunoscore">IS</abbrev> (0–1), 17 patients (49%) had intermediate <abbrev xlink:title="Immunoscore">IS</abbrev> (2), and 10 patients (28%) had high <abbrev xlink:title="Immunoscore">IS</abbrev> (3-4).</p>
      <fig id="F1">
        <object-id content-type="arpha">CC05A7B1-7424-540A-9AB7-E79701224821</object-id>
        <label>Figure 1.</label>
        <caption>
          <p>Distribution of Immunoscore in study cohort.</p>
        </caption>
        <graphic xlink:href="foliamedica-68-4-e163476-g001.jpg" id="oo_1736506.jpg">
          <uri content-type="original_file">https://binary.pensoft.net/fig/1736506</uri>
        </graphic>
      </fig>
      <p>The Immunoscore was similar in both sexes: 2.10 in males and 2.07 in females. There was also no significant difference in <abbrev xlink:title="Immunoscore">IS</abbrev> results in stage II and stage III disease.</p>
      <p>In this study, 21 (60%) patients had right colon cancer and 14 (40%) left colon cancer. We observed a difference in the <abbrev xlink:title="Immunoscore">IS</abbrev> score. Tumor location analysis showed that right-sided tumors had a higher mean <abbrev xlink:title="Immunoscore">IS</abbrev> (2.36) than the left-sided tumors (1.90) <bold>(Table <xref ref-type="table" rid="T2">2</xref>)</bold>. This difference remains when comparing the results according to stage and sex. Although this difference did not reach statistical significance, it trended in favor of immune activation in right-sided disease. Among patients under 65 years, the results were even more remarkable <bold>(Tables <xref ref-type="table" rid="T3">3</xref>, <xref ref-type="table" rid="T4">4</xref>)</bold>.</p>
      <table-wrap id="T2" position="float" orientation="portrait">
        <label>Table 2.</label>
        <caption>
          <p><abbrev xlink:title="Immunoscore">IS</abbrev> comparison by tumor location</p>
        </caption>
        <table>
          <tbody>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Tumor Location</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Patients (n)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Mean <abbrev xlink:title="Immunoscore">IS</abbrev></bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">left</td>
              <td rowspan="1" colspan="1">21</td>
              <td rowspan="1" colspan="1">1.90</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">right</td>
              <td rowspan="1" colspan="1">14</td>
              <td rowspan="1" colspan="1">2.36</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="T3" position="float" orientation="portrait">
        <label>Table 3.</label>
        <caption>
          <p><abbrev xlink:title="Immunoscore">IS</abbrev> by tumor location and age group</p>
        </caption>
        <table>
          <tbody>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Age group</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Tumor location</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Patients (n)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Mean <abbrev xlink:title="Immunoscore">IS</abbrev></bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">≤65</td>
              <td rowspan="1" colspan="1">left</td>
              <td rowspan="1" colspan="1">11</td>
              <td rowspan="1" colspan="1">1.64</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">≤65</td>
              <td rowspan="1" colspan="1">right</td>
              <td rowspan="1" colspan="1">4</td>
              <td rowspan="1" colspan="1">2.75</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">&gt;65</td>
              <td rowspan="1" colspan="1">left</td>
              <td rowspan="1" colspan="1">10</td>
              <td rowspan="1" colspan="1">2.20</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">&gt;65</td>
              <td rowspan="1" colspan="1">right</td>
              <td rowspan="1" colspan="1">10</td>
              <td rowspan="1" colspan="1">2.20</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <table-wrap id="T4" position="float" orientation="portrait">
        <label>Table 4.</label>
        <caption>
          <p><abbrev xlink:title="Immunoscore">IS</abbrev> by tumor location (≤65 years only)</p>
        </caption>
        <table>
          <tbody>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Tumor location</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Patients (n)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Mean <abbrev xlink:title="Immunoscore">IS</abbrev></bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Left</td>
              <td rowspan="1" colspan="1">11</td>
              <td rowspan="1" colspan="1">1.64</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Right</td>
              <td rowspan="1" colspan="1">4</td>
              <td rowspan="1" colspan="1">2.75</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>Recurrence was documented in 10 patients (28.6%) during the 4-year follow-up. Notably, no recurrence occurred in patients with high <abbrev xlink:title="Immunoscore">IS</abbrev> score. The highest recurrence rate was observed in the intermediate <abbrev xlink:title="Immunoscore">IS</abbrev> group (47%), while the low <abbrev xlink:title="Immunoscore">IS</abbrev> group had a recurrence rate of 25% <bold>(Table <xref ref-type="table" rid="T5">5</xref>)</bold>. Disease-free survival (<abbrev xlink:title="Disease-free survival">DFS</abbrev>) analysis at 4 years showed longer median <abbrev xlink:title="Disease-free survival">DFS</abbrev> in the high <abbrev xlink:title="Immunoscore">IS</abbrev> score group, with all patients remaining recurrence-free. Patients with intermediate <abbrev xlink:title="Immunoscore">IS</abbrev> had the shortest median <abbrev xlink:title="Disease-free survival">DFS</abbrev>.</p>
      <table-wrap id="T5" position="float" orientation="portrait">
        <label>Table 5.</label>
        <caption>
          <p>Clinical characteristics and recurrence rate by Immunoscore category.</p>
        </caption>
        <table>
          <tbody>
            <tr>
              <td rowspan="1" colspan="1">
                <bold><abbrev xlink:title="Immunoscore">IS</abbrev> category</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Patients (n)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Mean age (SD)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Recurrence ≤4 y (%)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Mean <abbrev xlink:title="carcinoembryonic antigen">CEA</abbrev> ng/mL (SD)</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Low</td>
              <td rowspan="1" colspan="1">8</td>
              <td rowspan="1" colspan="1">65.9 (7.4)</td>
              <td rowspan="1" colspan="1">25.0</td>
              <td rowspan="1" colspan="1">4.0 (3.57)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Intermediate</td>
              <td rowspan="1" colspan="1">17</td>
              <td rowspan="1" colspan="1">62.5 (10.9)</td>
              <td rowspan="1" colspan="1">47.1</td>
              <td rowspan="1" colspan="1">5.1 (9.68)</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">High</td>
              <td rowspan="1" colspan="1">10</td>
              <td rowspan="1" colspan="1">65.9 (8.19)</td>
              <td rowspan="1" colspan="1">0.0</td>
              <td rowspan="1" colspan="1">3.1 (2.49)</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
      <p>The combined analysis of survival, sex, and <abbrev xlink:title="Immunoscore">IS</abbrev> score reveals that the lowest survival rates were observed in male patients with an intermediate <abbrev xlink:title="Immunoscore">IS</abbrev> score. In both sexes, the patients with high <abbrev xlink:title="Immunoscore">IS</abbrev> had the best survival rates.</p>
      <p><abbrev xlink:title="carcinoembryonic antigen">CEA</abbrev> levels did not significantly differ across <abbrev xlink:title="Immunoscore">IS</abbrev> categories. The ANOVA test (<italic>p</italic>=0.864) confirmed the absence of a statistically significant correlation. Pearson correlation between <abbrev xlink:title="Immunoscore">IS</abbrev> and <abbrev xlink:title="carcinoembryonic antigen">CEA</abbrev> was also weak (<italic>r</italic>=−0.087, <italic>p</italic>=0.6805).</p>
      <p>A multivariate logistic regression model including <abbrev xlink:title="Immunoscore">IS</abbrev>, <abbrev xlink:title="carcinoembryonic antigen">CEA</abbrev>, age, and tumor location found no statistically significant predictors of recurrence. However, directional trends suggested a protective effect from higher <abbrev xlink:title="Immunoscore">IS</abbrev> and age, and increased risk with elevated <abbrev xlink:title="carcinoembryonic antigen">CEA</abbrev><bold>(Table <xref ref-type="table" rid="T6">6</xref>)</bold>.</p>
      <table-wrap id="T6" position="float" orientation="portrait">
        <label>Table 6.</label>
        <caption>
          <p>Logistic regression model for recurrence prediction</p>
        </caption>
        <table>
          <tbody>
            <tr>
              <td rowspan="1" colspan="1">
                <bold>Variable</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>B (Coefficient)</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold><italic>p</italic>-value</bold>
              </td>
              <td rowspan="1" colspan="1">
                <bold>Interpretation</bold>
              </td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Immunoscore</td>
              <td rowspan="1" colspan="1">0.62</td>
              <td rowspan="1" colspan="1">0.149</td>
              <td rowspan="1" colspan="1">Non-significant trend: higher <abbrev xlink:title="Immunoscore">IS</abbrev> → lower risk Not reaching significance</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1"><abbrev xlink:title="carcinoembryonic antigen">CEA</abbrev> (pre operative)</td>
              <td rowspan="1" colspan="1">−0.80</td>
              <td rowspan="1" colspan="1">0.248</td>
              <td rowspan="1" colspan="1">Non-significant association between higher <abbrev xlink:title="carcinoembryonic antigen">CEA</abbrev> and increased risk</td>
            </tr>
            <tr>
              <td rowspan="1" colspan="1">Location of Tumor</td>
              <td rowspan="1" colspan="1">−0.606</td>
              <td rowspan="1" colspan="1">0.448</td>
              <td rowspan="1" colspan="1">No meaningful difference by side</td>
            </tr>
          </tbody>
        </table>
      </table-wrap>
    </sec>
    <sec sec-type="Discussion" id="sec11">
      <title>Discussion</title>
      <p>Our findings support previously published evidence that high <abbrev xlink:title="Immunoscore">IS</abbrev> score is associated with a favorable prognosis <bold>(Fig. <xref ref-type="fig" rid="F2">2</xref>)</bold>. Notably, none of the patients in the high <abbrev xlink:title="Immunoscore">IS</abbrev> group (score 3 or 4) developed recurrence over a 4-year follow-up period. This confirms the results of the international va- lidation study by Pagès et al.<sup>[<xref ref-type="bibr" rid="B9">9</xref>]</sup>, which demonstrated the Immunoscore’s value as a more accurate predictor of disea-se-free survival than TNM staging alone. Kaplan–Meier analysis demonstrated a clear separation of disease-free survival curves by <abbrev xlink:title="Immunoscore">IS</abbrev> category <bold>(Fig. <xref ref-type="fig" rid="F2">2</xref>)</bold>. Absolute risk differences across <abbrev xlink:title="Immunoscore">IS</abbrev> categories were substantial, with no recurrence events observed in patients with high <abbrev xlink:title="Immunoscore">IS</abbrev> over four years, supporting the potential clinical relevance of <abbrev xlink:title="Immunoscore">IS</abbrev> High.</p>
      <fig id="F2">
        <object-id content-type="arpha">07E47F1D-D0A6-508A-97E6-02F0BD251F25</object-id>
        <label>Figure 2.</label>
        <caption>
          <p>Disease-free survival according to Immunoscore ca- tegory.</p>
        </caption>
        <graphic xlink:href="foliamedica-68-4-e163476-g002.jpg" id="oo_1736507.jpg">
          <uri content-type="original_file">https://binary.pensoft.net/fig/1736507</uri>
        </graphic>
      </fig>
      <p>In contrast, the intermediate <abbrev xlink:title="Immunoscore">IS</abbrev> group had the highest recurrence rate (47%). In previous studies, Immunoscore was associated with survival, with recurrence risk decreasing from low to intermediate to high Immunoscore. For example, in a large study in 2018, P. Sidaway reports 5-year recurrence rates of approximately 32% for low, 19% for intermediate, and 8% for high Immunoscore.<sup>[<xref ref-type="bibr" rid="B14">14</xref>]</sup></p>
      <p>Several factors may explain this discrepancy. First, the small sample size and limited number of recurrence events increase the likelihood of statistical errors. Second, variability and heterogeneity within the intermediate category subgroup (the biologically mixed middle group). Third, the unfavorable outcomes associated with intermediate Immunoscore were most pronounced among patients with stage III disease. This finding suggests that moderate immune activity may be inadequate to suppress micrometastatic disease in stage III disease.</p>
      <p>We observed a trend toward higher <abbrev xlink:title="Immunoscore">IS</abbrev> values in right-sided tumors, consistent with known differences in immune microenvironment between right- and left-sided <abbrev xlink:title="Colorectal cancer">CRC</abbrev><bold>(Table <xref ref-type="table" rid="T2">2</xref>)</bold>. Although the difference did not reach statistical significance, it was more pronounced among younger patients <bold>(Tables <xref ref-type="table" rid="T3">3</xref>, <xref ref-type="table" rid="T4">4</xref>)</bold>. These findings are consistent with previous reports highlighting the immunogenic nature of right-sided tumors, which are more likely to harbor <abbrev xlink:title="microsatellite instability">MSI</abbrev> and exhibit high T-cell infiltration.</p>
      <p>Based on our observations, <abbrev xlink:title="Immunoscore">IS</abbrev> was similar between stages and sexes. We can hypothesize that the <abbrev xlink:title="Immunoscore">IS</abbrev> score is a factor independent of sex and stage.</p>
      <p><abbrev xlink:title="carcinoembryonic antigen">CEA</abbrev> levels, while routinely used in clinical monitoring, showed no meaningful correlation with <abbrev xlink:title="Immunoscore">IS</abbrev> in this study. This suggests that systemic tumor markers such as <abbrev xlink:title="carcinoembryonic antigen">CEA</abbrev> may not reflect intratumoral immune activity, underscoring the added value of Immunoscore as a tissue-based biomarker.</p>
      <p>Logistic regression analysis <bold>(Table <xref ref-type="table" rid="T6">6</xref>)</bold> identified no single statistically significant predictor of recurrence; however, trends suggested a protective role for high <abbrev xlink:title="Immunoscore">IS</abbrev>, whereas elevated <abbrev xlink:title="carcinoembryonic antigen">CEA</abbrev> showed a weak association with recurrence risk. Although Immunoscore did not reach statistical significance in multivariable analysis, the observed direction of effect was consistent with a protective role of higher immune infiltration. These findings, though not conclusive, support the development of multifactorial models incorporating Immunoscore alongside clinical and molecular data.</p>
      <p>Limitations of this study include the small sample size, the single-center setting, and lack of use of standardized molecular profiling (e.g., <abbrev xlink:title="microsatellite instability">MSI</abbrev>, KRAS/BRAF) across all patients. Due to limited statistical power, observed trends did not reach statistical significance. Nonetheless, this real-world dataset provides practical insights into Immunoscore implementation and its interplay with common clinical variables.</p>
    </sec>
    <sec sec-type="Conclusions" id="sec12">
      <title>Conclusions</title>
      <p>The Immunoscore appears to be a promising prognostic biomarker in early-stage colorectal cancer, with a consistent trend toward lower recurrence risk and longer disease-free survival. In our study, patients with high <abbrev xlink:title="Immunoscore">IS</abbrev> (score 3–4) experienced no disease recurrence during a four-year follow-up. Intermediate <abbrev xlink:title="Immunoscore">IS</abbrev>, particularly in stage III disease, may identify patients at increased risk of early relapse who could benefit from intensified surveillance. <abbrev xlink:title="Immunoscore">IS</abbrev> provided meaningful insights into the tumor–immune interface, particularly in relation to tumor location and age.</p>
      <p>Our findings support the clinical utility of Immunoscore for patient stratification and individualized treatment planning. Future prospective studies should validate these results in larger, molecularly characterized cohorts and investigate its integration into routine colorectal cancer staging systems.</p>
    </sec>
  </body>
  <back>
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    <sec sec-type="Additional information" id="sec13">
      <title>Additional information</title>
      <p>
        <bold>Ethical statement</bold>
      </p>
      <list list-type="bullet">
        <list-item>
          <p>The study was granted approval by the Institutional Review Board committee at Pulmed University Hospital, Plovdiv.
</p>
        </list-item>
        <list-item>
          <p>The authors declared that no clinical trials were used in the present study.
</p>
        </list-item>
        <list-item>
          <p>The authors declared that no experiments on humans or human tissues were performed for the present study.
</p>
        </list-item>
        <list-item>
          <p>The authors declared that no informed consent was obtained from the humans, donors or donors’ representatives participating in the study.
</p>
        </list-item>
        <list-item>
          <p>The authors declared that no experiments on animals were performed for the present study.
</p>
        </list-item>
        <list-item>
          <p>The authors declared that no commercially available immortalized human and animal cell lines were used in the present study.
</p>
        </list-item>
      </list>
      <p>
        <bold>Conflict of interest</bold>
      </p>
      <p>The authors have declared that no competing interests exist.</p>
      <p>
        <bold>Artificial Intelligence (AI) use</bold>
      </p>
      <p>The authors accept full responsibility for the content of the manuscript, including the disclosure of any use of AI. Regarding the use of Al in the preparation of this manuscript, the authors declare the following: Grammar check. Used for: Language, style and writing</p>
      <p>
        <bold>Funding</bold>
      </p>
      <p>This study received no external funding.</p>
      <p>
        <bold>Author contributions</bold>
      </p>
      <p>All authors have contributed equally.</p>
      <p>
        <bold>Author ORCIDs</bold>
      </p>
      <p>Yanislav Grishev Iliev <ext-link xlink:href="https://orcid.org/0000-0001-7299-3994" ext-link-type="uri">https://orcid.org/0000-0001-7299-3994</ext-link></p>
      <p>Elena Galabova Poryazova-Markova <ext-link xlink:href="https://orcid.org/0000-0001-5919-9921" ext-link-type="uri">https://orcid.org/0000-0001-5919-9921</ext-link></p>
      <p>
        <bold>Data availability</bold>
      </p>
      <p>All of the data that support the findings of this study are available in the main text.</p>
    </sec>
  </back>
</article>
