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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2024.1287632</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Increased circulating regulatory T cells and decreased follicular T helper cells are associated with colorectal carcinogenesis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Meng</surname>
<given-names>Qiao</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2101169"/>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/software/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/visualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Zhao</surname>
<given-names>Yang</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xu</surname>
<given-names>Miao</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1602596"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Pingzhang</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/452705"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Jun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cui</surname>
<given-names>Rongli</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes" corresp="yes">
<name>
<surname>Fu</surname>
<given-names>Weiwei</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Ding</surname>
<given-names>Shigang</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1275730"/>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Gastroenterology, Peking University Third Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Beijing Key Laboratory for Helicobacter Pylori Infection and Upper Gastrointestinal Diseases</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Laboratory Medicine, Peking University Third Hospital</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Broad Institute of Harvard and Massachusetts Institute of Technology</institution>, <addr-line>Cambridge, MA</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Immunology, School of Basic Medical Sciences, Peking University Health Science Center, NHC Key Laboratory of Medical Immunology (Peking University)</institution>, <addr-line>Beijing</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Paulo Rodrigues-Santos, University of Coimbra, Portugal</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Katherine Wendy Cook, Scancell Ltd, United Kingdom</p>
<p>Markus Tschurtschenthaler, Technical University of Munich, Germany</p>
<p>Sonia Ferkel, Stanford University, United States</p>
<p>Arundhoti Das, National Institutes of Health (NIH), United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Shigang Ding, <email xlink:href="mailto:dingshigang222@163.com">dingshigang222@163.com</email>; Weiwei Fu, <email xlink:href="mailto:fuweiwei@bjmu.edu.cn">fuweiwei@bjmu.edu.cn</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>26</day>
<month>01</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1287632</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>09</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>10</day>
<month>01</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Meng, Zhao, Xu, Wang, Li, Cui, Fu and Ding</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Meng, Zhao, Xu, Wang, Li, Cui, Fu and Ding</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Objective</title>
<p>Colorectal cancer (CRC) is the third most prevalent cancer worldwide and is associated with high morbidity and mortality rates. Colorectal carcinogenesis occurs via the conventional adenoma-to-carcinoma and serrated pathways. Conventional T helper (Th) and innate lymphoid cells (ILCs) play vital roles in maintaining intestinal homeostasis. However, the contribution of these two major lymphoid cell populations and their associated cytokines to CRC development is unclear. Therefore, we aimed to analyze peripheral lymphocyte profiles during colorectal carcinogenesis.</p>
</sec>
<sec>
<title>Methods</title>
<p>We collected 86 blood samples concurrently, and pathologists confirmed the presence of various pathological conditions (i.e., HPs, adenoma, and carcinoma) using hematoxylin and eosin staining. Ten healthy donors were recruited as healthy controls (HCs) from the physical examination center. We performed flow cytometry on peripheral blood mononuclear cells collected from patients with various pathological conditions and the HCs, and cytokines (interleukin-2, interleukin-4, interleukin-5, interleukin-13, interleukin-17A, interleukin-17F, interleukin-22, interferon-&#x3b3;, and tumor necrosis factor-&#x3b1;) were quantified. We also analyzed the published single-cell RNA sequence data derived from tissue samples from different stages of colorectal carcinogenesis.</p>
</sec>
<sec>
<title>Results</title>
<p>The cytokine response in peripheral CD4<sup>+</sup> T cells was upregulated during the carcinoma process. The frequency of peripheral regulatory T cells (Tregs) increased in the adenoma and carcinoma stages. While the T follicular helper (Tfh) cell proportion was downregulated in the adenoma and carcinoma processes. Thus, Th cell subsets, especially Tregs and Tfh cells, were involved in colonic diseases. Moreover, the immunological profile characteristics in the HPs were clarified.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>We comprehensively analyzed circulating ILCs and adaptive T-cell lymphocyte subtypes in colorectal carcinoma progression. Our results show the immunological profile characteristics and support the involvement of Th subsets, especially Treg and Tfh cell populations, in colonic diseases. These findings significantly enhance our understanding of the immune mechanisms underlying CRC and its precancerous lesions. Further investigation of the Treg and Tfh cells&#x2019; function in colorectal disease development will provide potential therapeutic targets for monitoring and preventing CRC development.</p>
</sec>
</abstract>
<kwd-group>
<kwd>colorectal cancer</kwd>
<kwd>adenoma</kwd>
<kwd>hyperplastic polyps</kwd>
<kwd>T helper cell</kwd>
<kwd>innate lymphoid cells</kwd>
</kwd-group>
<contract-num rid="cn001">81870386, 82371771</contract-num>
<contract-sponsor id="cn001">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="44"/>
<page-count count="12"/>
<word-count count="5041"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Cancer Immunity and Immunotherapy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Colorectal cancer (CRC) is the third most prevalent cancer worldwide, with over 1.9&#x2009;million new CRC cases and 0.93 million deaths estimated in 2020 (<xref ref-type="bibr" rid="B1">1</xref>). Although the death rate slightly decreased (<xref ref-type="bibr" rid="B2">2</xref>), CRC mortality still ranks second among all cancer-related death cases worldwide (<xref ref-type="bibr" rid="B3">3</xref>). Colorectal carcinogenesis can occur via the conventional adenoma-to-carcinoma and serrated pathways. The typical adenoma&#x2013;carcinoma sequence is an established model for sporadic CRC development and causes approximately 60%&#x2013;85% of colonic malignancies. Precursor lesions that display tubular, tubulovillous, or villous adenoma histology develop into low- or high-grade adenomas and CRC (<xref ref-type="bibr" rid="B4">4</xref>). However, the mechanisms underlying CRC onset and progression are not fully understood. Furthermore, over 15% of CRC cases arise through the serrated pathway (<xref ref-type="bibr" rid="B5">5</xref>). Hyperplastic polyps (HPs), classified as serrated lesions, have shown that cells only exhibit minimal cytological atypia in the upper two-thirds of the crypts (<xref ref-type="bibr" rid="B6">6</xref>). HPs often coexist with adenoma and adenocarcinoma and have distinct biological features in CRC (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Therefore, the characteristics of HPs must be clarified.</p>
<p>The tumor immune microenvironment plays a crucial role in CRC development (<xref ref-type="bibr" rid="B9">9</xref>), determines the durable response to immunotherapy, and may be a predictive biomarker (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B12">12</xref>). Progression from precancerous lesions to malignant CRC depends on a complex immune pathway involving activated T lymphocytes and cytotoxic cytokine production. Previous cancer immunological studies have primarily focused on CD8<sup>+</sup> T cells. However, recent studies highlighted the importance of CD4<sup>+</sup> T cells, considering that CD4<sup>+</sup> T cells are central coordinators of innate and antigen-specific immune responses (<xref ref-type="bibr" rid="B13">13</xref>). Innate lymphoid cells (ILCs) are heterogeneous immune cells with no antigen-specific receptors that produce cytokines similar to CD4<sup>+</sup> T helper (Th) subsets (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>). Conventional Th cells and ILCs play critical roles in maintaining intestinal homeostasis. However, Cui et&#xa0;al. have found that interleukin (IL)-17A plays important roles along the colorectal adenoma&#x2013;carcinoma sequence (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). However, how these two major lymphoid cell populations and their related cytokines are involved in CRC development has not been determined systematically.</p>
<p>Recently, Zheng et&#xa0;al. dissected dynamic alterations in cell populations in the normal adenoma&#x2013;carcinoma sequence using single-cell RNA-sequencing technology (<xref ref-type="bibr" rid="B19">19</xref>). Furthermore, using single-cell transcriptomic analysis, Chen et&#xa0;al. demonstrated the different immune microenvironmental features of conventional adenomas and serrated polyps (<xref ref-type="bibr" rid="B20">20</xref>). The occurrence and development of tumors are accompanied by systemic immune disturbance and peripheral immune cell alterations (<xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>). Individual immunity is coordinated across tissues, and the colonic antitumor immune response depends on continuous communication with the peripheral blood (<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Our previous study demonstrated peripheral adaptive and innate lymphocyte changes during human gastric cancer development (<xref ref-type="bibr" rid="B27">27</xref>). Considering the easily obtainable and non-invasive characteristics of peripheral blood samples, exploring changes in peripheral immune profiles is crucial and may help discover key functional cell subpopulations during CRC carcinogenesis. Therefore, novel target cells can be provided for the early screening of CRC patients.</p>
<p>This study comprehensively analyzed peripheral lymphocyte profiles in HPs and conventional adenoma&#x2013;carcinoma sequences.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s3_1">
<title>Patients and controls</title>
<p>Patients were admitted to Peking University Third Hospital between December 2021 and August 2022. Eighty-six patients diagnosed with HPs (<italic>n</italic> = 10), adenomas (grade I, <italic>n</italic> = 19; grade II, <italic>n</italic> = 19; grade III, <italic>n</italic> = 19), or adenocarcinomas (<italic>n</italic> = 19) were enrolled. All patients were diagnosed based on histological examination results. Patients with active systemic infections or autoimmune diseases were excluded. Ten healthy donors were recruited as healthy controls (HCs) from the physical examination center. Two milliliters of the remaining blood samples from routine complete blood count tests were collected as peripheral blood samples for the experiment. The Medical Science Research Ethics Committee of Peking University Third Hospital approved this study (2022 YLS No. 554-01).</p>
</sec>
<sec id="s3_2">
<title>Cell isolation and flow cytometry analysis</title>
<p>Peripheral blood mononuclear cells (PBMCs) were isolated from heparinized peripheral blood through Ficoll-Hypaque gradients as previously described (<xref ref-type="bibr" rid="B28">28</xref>). The collected PBMCs were resuspended and cryopreserved with freezing media, including 10% dimethylsulfoxide (DMSO) and 90% fetal bovine serum, and then stored in a freezing container at&#x2009;&#x2212;80&#xb0;C. For flow cytometry analysis, the cryopreserved PBMCs were placed in a 37&#xb0;C water bath for rapid thawing and then transferred into a 15-mL conical centrifuge tube filled with prewarmed RPMI 1640. After the washing step, the cells were resuspended in a culture medium and incubated at 37&#xb0;C for 2&#xa0;h before staining or stimulation.</p>
<p>For staining, the Fixable Viability Dye eFluor 506 (Thermo Fisher Scientific, Waltham, MA, USA) was stained firstly to gate live cells, followed by 30&#xa0;min of surface antibody staining at 4&#xb0;C. The antibodies used for flow cytometry are listed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>. For cytokine detection, PBMCs were stimulated for 4.5&#xa0;h with 50 ng/mL of phorbol 12-myristate 13-acetate and 500 ng/mL of ionomycin (Sigma-Aldrich, St. Louis, MO, USA) in the presence of GolgiStop (BD/PMG) in a 37&#xb0;C incubator before staining. Cells were fixed, permeabilized, and stained using the Cytofix/Cytoperm Kit (BD). Flow cytometry was performed using a FACSCanto instrument (BD Biosciences, San Jose, CA, USA) and analyzed using FlowJo software 10.8.1. The cell type annotation and gating strategy were performed as shown previously (<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>).</p>
</sec>
<sec id="s3_3">
<title>Cytokine measurement</title>
<p>Cytokines [IL-2, IL-4, IL-5, IL-13, IL-17A, IL-17F, IL-22, interferon (IFN)-&#x3b3;, and tumor necrosis factor (TNF)-&#x3b1;] in the plasma were measured using the LEGENDplex&#x2122; Multi-Analyte Flow Assay kit (BioLegend, San Diego, CA, USA) following the manufacturer&#x2019;s protocol and Canto flow cytometry.</p>
</sec>
<sec id="s3_4">
<title>Single-cell RNA sequence data analysis</title>
<p>A single-cell dataset derived from colorectal adenoma and carcinoma tissues was downloaded from the Gene Expression Omnibus database (GSE161277) (<xref ref-type="bibr" rid="B19">19</xref>). Standard analysis was performed using the R Seurat package (version 3.1.2) (<xref ref-type="bibr" rid="B29">29</xref>). Briefly, using the Read10X function to read the output results, the results were converted to Seurat objects using the CreateSeuratObject function. Each cell was normalized to 10,000 unique molecular identifier counts, and the top 2,000 highly variable genes (HVGs) were selected. After the data were scaled and centered, principal component analysis based on the HVGs was conducted. The uniform manifold approximation and projection method was used for dimensionality reduction in single-cell cluster visualization. Cell types were annotated according to marker gene expression, such as CD3 and CD4 for CD4<sup>+</sup> T cells. In CD4<sup>+</sup> T cells, dot plots were generated to show gene expression using the DotPlot function. The cell annotation strategy in DotPlot is according to the DICE database (<ext-link ext-link-type="uri" xlink:href="https://dice-database.org/">https://dice-database.org/</ext-link>).</p>
</sec>
<sec id="s3_5">
<title>Statistical analyses</title>
<p>Differences between groups were analyzed using a one-way ANOVA if the data followed a normal distribution. Otherwise, we used the non-parametric Kruskal&#x2013;Wallis test. Analyses were conducted using GraphPad Prism 8.0 (GraphPad Software, San Diego, CA, USA). All statistical tests were two-tailed. A value of <italic>P &lt;</italic>0.05 was considered significant.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s4_1">
<title>Cytokine profile analysis during colorectal carcinogenesis</title>
<p>To demonstrate the dynamic changes in the immune landscape during CRC development, we collected 86 blood samples to analyze the major lymphoid cell populations and their related cytokines (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>), and the pathological conditions were confirmed (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). The clinical characteristics of the patients and HCs are shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Study flowchart and pathologic diagnosis of enrolled patients. <bold>(A)</bold> Subdivision of enrolled subjects into health controls, hyperplastic polyps, adenoma (grades I, II, and III), and carcinoma. The peripheral blood samples were collected, and the key lymphocyte subpopulations in PBMCs and the plasma cytokines were analyzed. <bold>(B)</bold> Representative H&amp;E-stained sections of a cascade of colonic lesions. Scale bar: 500 &#x3bc;m (&#xd7;100 magnification).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1287632-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of enrolled patients with colonic lesions.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left"/>
<th valign="top" align="left">Health control (<italic>n</italic> = 10)</th>
<th valign="top" align="left">Hyperplastic <break/>polyp (<italic>n</italic> = 10)</th>
<th valign="top" align="left">Tubular <break/>adenoma grade I (<italic>n</italic> = 19)</th>
<th valign="top" align="left">Tubular adenoma grade II (<italic>n</italic> = 19)</th>
<th valign="top" align="left">Tubular adenoma grade III (<italic>n</italic> = 19)</th>
<th valign="top" align="left">Colorectal carcinoma (<italic>n</italic> = 19)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Median age (years, range)</td>
<td valign="top" align="left">42 (39, 47)</td>
<td valign="top" align="left">61 (43, 68)</td>
<td valign="top" align="left">59 (30, 74)</td>
<td valign="top" align="left">64 (38, 77)</td>
<td valign="top" align="left">63 (42, 77)</td>
<td valign="top" align="left">67 (21, 90)</td>
</tr>
<tr>
<th valign="top" colspan="7" align="left">Gender</th>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="left">7 (70.0%)</td>
<td valign="top" align="left">8 (80.0%)</td>
<td valign="top" align="left">7 (36.8%)</td>
<td valign="top" align="left">7 (36.8%)</td>
<td valign="top" align="left">10 (52.6%)</td>
<td valign="top" align="left">15 (78.9%)</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="left">3 (30.0%)</td>
<td valign="top" align="left">2 (20.0%)</td>
<td valign="top" align="left">12 (63.2%)</td>
<td valign="top" align="left">12 (63.2%)</td>
<td valign="top" align="left">9 (47.4%)</td>
<td valign="top" align="left">4 (21.1%)</td>
</tr>
<tr>
<td valign="top" align="left">Histological diagnosis</td>
<td valign="top" align="left">Untested</td>
<td valign="top" align="left">Hyperplastic polyp</td>
<td valign="top" align="left">Tubular adenoma grade I</td>
<td valign="top" align="left">Tubular adenoma grade II</td>
<td valign="top" align="left">Tubular adenoma grade III</td>
<td valign="top" align="left">Colorectal carcinoma</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Firstly, we detected IL-2, IL-4, IL-5, IL-13, IL-17A, IL-17F, IL-22, IFN-&#x3b3;, and TNF-&#x3b1; in the plasma to exclude the influence of infection or autoimmune disorders, and the standard curves were verified (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>). IL-2, IL-4, IL-5, IL-13, IL-17A, IL-17F, IL-22, IFN-&#x3b3;, and TNF-&#x3b1; exhibited no apparent difference between each group, indicating the comparable inflammatory conditions between these samples (all <italic>P</italic> &gt; 0.05) (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A&#x2013;C</bold>
</xref>). These results revealed that the plasma cytokine profile changed subtly, and their ability to indicate lesions was limited.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Plasma cytokine analysis during a cascade of colonic lesions. <bold>(A)</bold> The concentration of TNF-&#x3b1;, IFN-&#x3b3;, and IL-2 in the plasma. <bold>(B)</bold> The concentration of IL-5, IL-13, and IL-4 in the plasma. <bold>(C)</bold> The concentration of IL-17A, 17F, and 22 in the plasma. Each dot represents one donor. HC, healthy control. Error bars represent the SEM. ANOVA or non-parametric test (Kruskal&#x2013;Wallis test) as appropriate. All results are not significantly different. <italic>n</italic> = 10&#x2013;19 in each group.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1287632-g002.tif"/>
</fig>
</sec>
<sec id="s4_2">
<title>The cytokine response in peripheral CD4<sup>+</sup> T cells is upregulated during the carcinoma process</title>
<p>Firstly, we characterized the circulating Th cell subsets in the peripheral blood sample from healthy controls and patients with different colorectal lesions using surface markers. As shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>, CD4<sup>+</sup>CXCR3<sup>+</sup> Th1 cells had no differences among the groups (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). Compared with HPs, Th2 cells were decreased in adenoma grade II (31.6 vs. 24.7, <italic>P</italic> = 0.0222), adenoma grade III (31.6 <italic>vs.</italic> 22.2, <italic>P</italic> = 0.0313), and the CRC group (31.6 vs. 20.4, <italic>P</italic> = 0.0029) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). The percentage of Th2 cells was downregulated significantly from adenoma grade I to CRC (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). As shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>, the CD4<sup>+</sup>CCR6<sup>+</sup> Th17 cell proportion decreased in CRC when compared with the healthy control group (23.1 vs. 11.2, <italic>P</italic> = 0.0279) or adenoma grade I (24.3 vs. 11.2, <italic>P</italic> = 0.0163) or even adenoma grade II (21.7 vs. 11.2, <italic>P</italic> = 0.0042).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Th cell response analysis during a cascade of colonic lesions. <bold>(A&#x2013;C)</bold> Flow cytometry quantification of the frequency of CXCR3<sup>+</sup> <bold>(A)</bold>, CCR4<sup>+</sup> <bold>(B)</bold>, and CCR6<sup>+</sup> <bold>(C)</bold> cells in CD4<sup>+</sup> T cells during a cascade of colonic lesions. <bold>(D-F)</bold> Flow cytometry quantification of the frequency of IFN-gamma<sup>+</sup> <bold>(D)</bold>, IL-4<sup>+</sup> <bold>(E)</bold>, and IL-17A<sup>+</sup> <bold>(F)</bold> cells in CD4<sup>+</sup> T cells during a cascade of colonic lesions. Each dot represents one donor. HC, healthy control. Error bars represent the SEM. *<italic>P</italic> &lt; 0.05; **<italic>P</italic> &lt; 0.01 (ANOVA or non-parametric test as appropriate). <italic>n</italic> = 10&#x2013;19 in each group.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1287632-g003.tif"/>
</fig>
<p>Moreover, we demonstrated the function of the peripheral Th cell subsets during carcinoma progression through key cytokine production analysis. IFN-gamma<sup>+</sup> Th1 cells increased in CRC compared with those in HPs (1.61 vs. 4.73, <italic>P</italic> = 0.0267) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>). In addition, the Th1 cell response was upregulated significantly from adenoma grade I to CRC (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>). As shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3E</bold>
</xref>, CD4<sup>+</sup>IL-4<sup>+</sup> Th2 cells were increased in the CRC group when compared with those in HPs and adenoma grade I (2.11 vs. 5.63, <italic>P</italic> = 0.0027; 2.20 vs. 5.63, <italic>P</italic> = 0.0049). Furthermore, the proportion of CD4<sup>+</sup>IL-17A<sup>+</sup> Th17 cells was investigated during CRC development. As shown in <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3F</bold>
</xref>, Th17 cells increased in CRC when compared with the healthy control group (2.32 vs. 6.06, <italic>P</italic> = 0.0458) or HPs (1.68 vs. 6.06, <italic>P</italic> = 0.0014) or even adenoma grade I (1.99 vs. 6.06, <italic>P</italic> = 0.0130).</p>
<p>Furthermore, we analyzed published single-cell RNA sequence data (GSE161277) from tissue samples of different colorectal carcinogenesis stages to confirm the effector Th cell response during the adenoma&#x2013;carcinoma sequence. As shown in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>, CD4<sup>+</sup> T cells in tissue samples showed consistency only to the cytokine expression and not to the protein surface markers with that of the peripheral effector Th cell response. Th1 cells, identified by the <italic>CXCR3</italic> or <italic>IFN-gamma</italic> expression in the tissue-derived CD4<sup>+</sup> T cells, were upregulated from adenoma to carcinoma (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). Moreover, the upregulated Th2 cells, identified by the <italic>CCR4</italic> expression in the tissue-derived CD4<sup>+</sup>T cells, from adenoma to CRC were consistent with the peripheral CD4<sup>+</sup>IL-4<sup>+</sup> Th2 response (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). Lastly, we also detected increased Th17 populations, identified by the <italic>CCR6</italic> expression in the tissue-derived CD4<sup>+</sup> T cells, in the CRC group when compared with the normal group, which was consistent with the peripheral CD4<sup>+</sup>IL-17A<sup>+</sup> Th17 response (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;2</bold>
</xref>). These results demonstrate the upregulation of the effector CD4<sup>+</sup> T-cell response in colorectal carcinogenesis.</p>
</sec>
<sec id="s4_3">
<title>ILCs shift during the carcinoma development</title>
<p>ILC subsets were further clarified, and gating was performed as previously described (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;3</bold>
</xref>). The CD45<sup>+</sup>Lin<sup>&#x2212;</sup>CD127<sup>+</sup>CRTH2<sup>&#x2212;</sup>CD117<sup>&#x2212;</sup> ILC1 cell frequency had no significant differences between the control and HPs (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). The median level of ILC1s showed an increased and then a decreased tendency during the carcinoma development process. We also analyzed circulating CD45<sup>+</sup>Lin<sup>&#x2212;</sup>CD127<sup>+</sup>CRTH2<sup>+</sup>CD117<sup>&#x2212;</sup> ILC2s in patients with colonic diseases. Although an upward trend was found in the disease group compared with the HC group, no significant differences were detected in the frequency of ILC2 cells among all groups (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4B</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>The change of ILC cell populations during a cascade of colonic lesions. <bold>(A&#x2013;C)</bold> Flow cytometry quantification of the frequency of Lin<sup>-</sup>CD127<sup>+</sup>CRTH2<sup>-</sup>CD117<sup>-</sup> ILC1 cells <bold>(A)</bold>, Lin<sup>-</sup>CD127<sup>+</sup>CRTH2<sup>+</sup>CD117<sup>-</sup> ILC2 cells <bold>(B)</bold>, and Lin<sup>-</sup>CD127<sup>+</sup>CRTH2<sup>-</sup>CD117<sup>+</sup> ILC3 cells <bold>(C)</bold> in CD45<sup>+</sup> PBMCs during a cascade of colonic lesions. <bold>(D&#x2013;F)</bold> Flow cytometry quantification of the frequency of Lin<sup>&#x2212;</sup>CD127<sup>+</sup>IFN-gamma<sup>+</sup> cells <bold>(D)</bold>, Lin<sup>&#x2212;</sup>CD127<sup>+</sup>IL-5<sup>+</sup> cells <bold>(E)</bold>, and Lin<sup>&#x2212;</sup>CD127<sup>+</sup>IL-22<sup>+</sup> cells <bold>(F)</bold> in CD45<sup>+</sup> PBMCs during a cascade of colonic lesions. Each dot represents one donor. HC, healthy control. Error bars represent the SEM. *<italic>P</italic> &lt; 0.05; **<italic>P</italic> &lt; 0.01 (ANOVA or non-parametric test as appropriate). <italic>n</italic> = 10&#x2013;19 in each group.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1287632-g004.tif"/>
</fig>
<p>Moreover, CD45<sup>+</sup>Lin<sup>&#x2212;</sup>CD127<sup>+</sup>CRTH2<sup>&#x2212;</sup>CD117<sup>+</sup> ILC3 was also analyzed in patients with a cascade of colonic disease, which also showed non-significantly increased frequency in colorectal precancerous lesions and CRC (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4C</bold>
</xref>).</p>
<p>We further demonstrated the key cytokine production in ILCs to identify their function variation during intestinal carcinogenesis. As shown in <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>, the levels of IFN-gamma, mainly produced by ILC1, showed no difference among the groups.</p>
<p>We also measured IL-5 levels, primarily produced by ILC2, and found that there was also no difference between the groups (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>). The IL-22, which is primarily produced by ILC3 and plays a protective role in the intestinal mucosal barrier (<xref ref-type="bibr" rid="B30">30</xref>), was further measured to further confirm the involvement of ILC3 in colonic disease development. Compared with the control, IL-22 levels were lower in HPs (4.93 vs. 1.76, <italic>P</italic> = 0.0163), adenoma grade II (4.93 vs. 1.66, <italic>P</italic> = 0.0059), and CRC (4.93 vs. 1.28, <italic>P</italic> = 0.0095) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4F</bold>
</xref>). These results suggest that ILC3s&#x2019; function, especially IL-22 production, might be involved in both premalignant lesions, such as adenomas and HPs, and CRC.</p>
</sec>
<sec id="s4_4">
<title>Regulatory T-cell proportions increase from adenomas to carcinomas</title>
<p>The CD4<sup>+</sup>CD25<sup>+</sup> regulatory T cell (Treg) percentage in PBMCs was investigated in all groups to further assess the frequency change in Tregs in colonic precancerous lesions and CRC (<xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A, B</bold>
</xref>). The frequency of peripheral CD4<sup>+</sup>CD25<sup>+</sup> Treg cells was comparable between the control and HP groups. However, compared with the control, a significantly increased percentage of circulating CD4<sup>+</sup>CD25<sup>+</sup> Tregs was detected in the adenoma grade III (1.56 vs. 19.6, <italic>P</italic> = 0.0032) and CRC groups (1.56 vs. 29.9, <italic>P</italic> &lt; 0.0001). The frequency of CD4<sup>+</sup>CD25<sup>+</sup> Treg cells gradually increased from early to advanced adenomas and finally to CRC, suggesting that Treg cells increased to exert immunosuppressive effects as adenomas progressed toward CRC (grade I vs. grade II, 0.63 vs. 5.30, <italic>P</italic> = 0.0400; grade I vs. grade III, 0.63 vs. 19.6, <italic>P</italic> &lt; 0.0001; grade I vs. CRC, 0.63 vs. 29.9, <italic>P</italic> &lt; 0.0001; grade II vs. CRC, 5.30 vs. 5.30, <italic>P</italic> = 0.0059). Moreover, CD4<sup>+</sup>CD25<sup>+</sup> Treg cells were decreased in HPs compared with grade III adenoma (1.96 vs. 19.6, <italic>P</italic> = 0.0097) or CRC (1.96 vs. 29.9, <italic>P</italic> = 0.0001). There was no difference between HPs and adenoma grade I or II.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Treg cell analysis during a cascade of colonic lesions. <bold>(A)</bold> The representative flow plots about the gating strategy of CD25<sup>+</sup> Treg cells in CD4<sup>+</sup> T cells during a cascade of colonic lesions. <bold>(B)</bold> Flow cytometry quantification of the frequency of CD4<sup>+</sup>CD25<sup>+</sup> Treg cells in CD4<sup>+</sup> T cells. Each dot represents one donor. HC, healthy control. Error bars represent the SEM. *<italic>P</italic> &lt; 0.05; **<italic>P</italic> &lt; 0.01; ***<italic>P</italic> &lt; 0.001; ****<italic>P</italic> &lt; 0.0001 (ANOVA or non-parametric test as appropriate). <italic>n</italic> = 10&#x2013;19 in each group. <bold>(C)</bold> <italic>IL-2RA</italic> (<italic>CD25</italic>) and <italic>FOXP3</italic> expression analysis in the tissue-derived CD4<sup>+</sup> T cells among different colonic lesions by analyzing the single-cell RNA-sequencing data (GSE161277). The color depth represents the average expression, and the size of the dots represents the percentage expressed.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1287632-g005.tif"/>
</fig>
<p>Furthermore, single-cell RNA-sequencing data showed that the expression of <italic>IL-2RA</italic> (<italic>CD25</italic>) and <italic>FOXP3</italic>, the key markers of Treg cells, was increased from adenoma to carcinoma in the tissue-derived CD4<sup>+</sup> T cells (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>), which is consistent with the changes in peripheral Treg cells. This result further confirms the involvement of Tregs in colonic premalignant lesions and CRC.</p>
</sec>
<sec id="s4_5">
<title>T follicular helper cell response is downregulated during colorectal carcinogenesis</title>
<p>We further analyzed the T follicular helper (Tfh) response, and CD4<sup>+</sup>PD1<sup>+</sup>CXCR5<sup>+</sup> cells were significantly decreased in adenoma grade II (3.95 vs. 0.63, <italic>P</italic> = 0.0157), grade III (3.95 vs. 0.26, <italic>P</italic> = 0.0002), and CRC (3.95 vs. 0.16, <italic>P</italic> &lt; 0.0001) compared with the control (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). Moreover, the percentage of CD4<sup>+</sup>PD1<sup>+</sup>CXCR5<sup>+</sup> cells decreased from adenoma grade I to III and even in CRC (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>), primarily attributed to the change in programmed cell death protein 1 (PD1) but not CXCR5 (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures&#xa0;4A, B</bold>
</xref>). In addition, the expression of <italic>PDCD1</italic> and <italic>CXCR5</italic> in the tissue-derived CD4<sup>+</sup> T cells among different colonic lesions was analyzed using the single-cell RNA-sequencing data (GSE161277). As shown in <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>, the Tfh cell markers <italic>PDCD1</italic> and <italic>CXCR5</italic> were decreased during the carcinoma progression, which is consistent with the change of t peripheral Tfh population. Furthermore, the percentage of antibody-secreting CD19<sup>+</sup>CD38<sup>+</sup>CD27<sup>+</sup> plasma cells also decreased in the adenoma grade II group (2.775 vs. 0.405, <italic>P</italic> &lt; 0.0001), adenoma grade III group (2.775 vs. 1.230, <italic>P</italic> = 0.0015), and CRC group (2.775 vs. 1.280, <italic>P</italic> = 0.0155) compared with that in the control group (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>). However, IL-21<sup>+</sup> production in CD4<sup>+</sup> cells, the key cytokine of Tfh cells, showed no significant differences among the groups (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6D</bold>
</xref>). These results suggested a potential role of Tfh cells in both precancerous lesions and CRC.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>The change of Tfh cells during a cascade of colonic lesions. <bold>(A)</bold> The FACS staining (left) and frequency quantification (right) analysis of CD4<sup>+</sup>CXCR5<sup>+</sup> PD1<sup>+</sup> cells in CD4<sup>+</sup> T cells during a cascade of colonic lesions. <bold>(B)</bold> The expression analysis of <italic>PDCD1</italic> and <italic>CXCR5</italic> in the tissue-derived CD4<sup>+</sup> T cells among different colonic lesions by analyzing the single-cell RNA-sequencing data (GSE161277). The color depth represents the average expression, and the size of the dots represents the percentage expressed. <bold>(C)</bold> The FACS staining (left) and frequency quantification (right) analysis of CD19<sup>+</sup>CD38<sup>+</sup>CD27<sup>+</sup> plasma cells during a cascade of colonic lesions. <bold>(D)</bold> The FACS staining (left) and frequency quantification (right) analysis of IL-21<sup>+</sup> cells in CD4<sup>+</sup> T cells during a cascade of colonic lesions. Each dot represents one donor. HC, healthy control. Error bars represent the SEM. *<italic>P</italic> &lt; 0.05; **<italic>P</italic> &lt; 0.01; ***<italic>P</italic> &lt; 0.001; ****<italic>P</italic> &lt; 0.0001 (ANOVA or non-parametric test as appropriate). <italic>n</italic> = 10&#x2013;19 in each group.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1287632-g006.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>The ability of precancerous lesions to progress to cancer is related to the intrinsic phenotype and the contributions of the immune response. Therefore, an in-depth investigation of the immunological characteristics of colorectal carcinoma progression is crucial for understanding the mechanisms underlying CRC development. Tumor occurrence and development often result in systemic immune disturbances and alterations in peripheral immune cells through tissue communication with peripheral blood (<xref ref-type="bibr" rid="B21">21</xref>&#x2013;<xref ref-type="bibr" rid="B24">24</xref>). Therefore, monitoring disease development through the peripheral immune response may be a better option. Dynamic changes in the peripheral immune profile, from colonic precancerous lesions to CRC lesions, have not been reported. In this study, we demonstrated the immune landscape of the CRC development process, including changes in Th cells, ILC cells, and key cytokines that play critical roles in maintaining intestinal homeostasis.</p>
<p>Cytokines are a class of small molecular proteins or peptides with biological activities that can be divided into pro- and anti-inflammatory cytokines. The cytokines in our study exhibited non-significant subtle changes. IFN-&#x3b3;, TNF-&#x3b1;, and IL-2 enhance cytotoxic and apoptotic effects in response to colon adenomas. IL-22 plays both protective and pathogenic roles in inflammation. At an early stage, IL-22 is protective, helps maintain barrier integrity, and reduces inflammation and tumors. However, during wound repair in the epithelium, IL-22 promotes tumor development (<xref ref-type="bibr" rid="B31">31</xref>). Our results were inconsistent with those of previous studies, and no changes were detected in the plasma cytokine spectrum, indicating that their ability to detect lesions might be limited.</p>
<p>We comprehensively analyzed lymphocyte profiles in premalignant and colorectal tumors. ILCs are central innate immune mediators in both gastrointestinal homeostasis and inflammatory pathologies (<xref ref-type="bibr" rid="B15">15</xref>) and exhibit striking similarities to the heterogeneity in CD4<sup>+</sup> T helper cells (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B32">32</xref>). To our knowledge, our results are the first to demonstrate the characteristics of Th and ILC subsets in HPs. Though effector Th response increased during the carcinoma process, the ILC-derived IL-22 production was downregulated in the HP, adenoma, and CRC groups. The immunological characteristics of HP, adenoma, and CRC are generally consistent with the tissue-derived single-cell RNA-seq data from previously reported studies (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B27">27</xref>). Interestingly, the peripheral CD4<sup>+</sup> T cells were contrary to the results of tumor-derived CD4<sup>+</sup> T cells in terms of their surface molecules. This might be due to the differences in methodology because the peripheral CD4<sup>+</sup> T cells were defined with surface molecules at the protein level while the tumor-derived CD4<sup>+</sup> T cells&#x2019; surface molecules were analyzed at the RNA level. Moreover, the differences in localization might also contribute to that. The upregulation of these chemokines in the tumor-derived CD4<sup>+</sup> T cells was very likely associated with the migration toward tumor tissues. Considering the easily obtainable and non-invasive characteristics of peripheral blood samples, the circulating Th cell analysis might be used to monitor CRC development and discover key functional cell subpopulations during CRC carcinogenesis.</p>
<p>Maintaining the immune balance is critical for antitumor immunity. Foxp3<sup>+</sup> regulatory T cells secrete immunomodulatory cytokines and cytolytic molecules that regulate immune responses (<xref ref-type="bibr" rid="B33">33</xref>). Besides the effect of Th subsets, suppressive Treg cells also play an essential role in the tumor immune response. Elevated Treg cells are associated with promoting tumor development, immunotherapy failure, and poorer prognosis in CRC (<xref ref-type="bibr" rid="B34">34</xref>), suggesting that the immune balance is critical in antitumor immunity. In terms of tumor prognosis, a high number of Tregs are correlated with poor patient survival. Foxp3<sup>+</sup> Treg accumulation in the tumor microenvironment is an early event along the carcinoma development and may play a role in initiating CRC (<xref ref-type="bibr" rid="B35">35</xref>). Our study confirmed the upregulation of peripheral Tregs during carcinoma progression and showed a progressive increase from adenoma grade I to CRC. However, Treg activation induced CD25 upregulation in CD4<sup>+</sup> conventional T cells (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Therefore, we cannot exclude the involvement of activated T cells in the CD4<sup>+</sup>CD25<sup>+</sup> population. We also investigated the changes in different effector CD4<sup>+</sup> cell subsets, and these populations did not show dramatic changes as the CD4<sup>+</sup>CD25<sup>+</sup> populations. Thus, we speculated that the changes in CD4<sup>+</sup>CD25<sup>+</sup> cells may be mainly attributed to Treg cells. In addition, the tendency of peripheral Treg cells to increase during CRC development was consistent with the results from colonic tissues, indicating the potential use of peripheral Treg cells to monitor CRC progression.</p>
<p>As a critical CD4<sup>+</sup> T-cell subset, Tfh cells primarily function by interacting with B cells and are essential for guiding immunoglobulin isotype switching, affinity maturation, and memory- and antibody-secreting B-cell differentiation (<xref ref-type="bibr" rid="B38">38</xref>). Tfh cells help B cells during effective antibody-mediated immune responses (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>). Recently, the role of Tfh cells in the antitumor immune response has attracted increasing attention (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B39">39</xref>). Tfh indirectly enhances antitumor immunity mediated by CD8<sup>+</sup> T cells by secreting IL-21 (<xref ref-type="bibr" rid="B40">40</xref>). Furthermore, the specific intestinal bacterium <italic>Helicobacter hepaticus</italic> promotes Tfh-associated antitumor immunity in the colon (<xref ref-type="bibr" rid="B37">37</xref>). However, the involvement of Tfh cells and related antibody responses in CRC development is unclear. Our results further demonstrate that Tfh cells and related plasma cell populations decrease with disease progression, implying that Tfh cells are involved in precancerous and CRC stages.</p>
<p>However, our study has limitations, such as a small cohort of unpaired individuals. Considering this limitation and to further confirm the tissue specificity of the changed cell populations, we verified our PBMC results using published single-cell RNA-seq data by detecting the expression levels of Th cell subset markers in CD4<sup>+</sup> T cells from tissues. Tissue results showed the same variation tendency as that of the PBMCs. This finding verified our PBMC findings and further indicated that the changes in Th subsets may be primarily due to colorectal lesions. However, another model is needed to clarify whether this is a sequential effect, such as using paired tissue samples or collecting PBMCs at different pathological stages from the same patients. Moreover, the male/female ratios of the samples were inconsistent between the groups. The male/female ratio was lower in the adenoma group than in the control/CRC group. The small sample size also caused a potential bias during the short collection period, which may have confounded the results. Sexual dimorphisms have been described in innate and adaptive immune systems. Significantly elevated frequencies of Treg cells were reported in the peripheral blood of young postpubertal cisgender men compared with similarly aged cisgender women. Thus, sex chromosomes and hormones may drive changes in Treg cell frequency and function, and young postpubertal men have a more anti-inflammatory Treg cell profile than women (<xref ref-type="bibr" rid="B41">41</xref>). A higher incidence of CRC is observed in men than in women (<xref ref-type="bibr" rid="B42">42</xref>). Although the control group had a high male ratio in our study, the percentage of Tregs was still lower than that in the adenoma and carcinoma groups. This finding indicates that changes in Tregs in colonic precancerous lesions and CRC may result from pathological changes. As for Tfh cells, no studies have reported the influence of sex on Tfh cells in colonic precancerous lesions and CRC. However, the relationship between elevated levels of circulating Tfh cells and female-biased autoimmune diseases has been verified (<xref ref-type="bibr" rid="B43">43</xref>). Accordingly, the decreased Tfh percentage may not be due to sex but to the lower female ratio in the control group. Since the exact influence of sex hormones on the immune phenotype during tumor development remains unclear, the effect of sex bias should be considered. Lastly, because ILC2s can also express CD117 (<xref ref-type="bibr" rid="B44">44</xref>), some ILC2s might be excluded from the analysis.</p>
<p>In summary, we analyzed the immunological profile characteristics and demonstrated the involvement of Th subsets, especially Treg and Tfh cell populations, during colorectal carcinogenesis. Our study is the first to demonstrate the lymphocyte profiles of HPs and the CRC development process by analyzing circulating PBMCs and the production of key cytokines. Further exploration of their functions is required to develop a precise treatment.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<title>Conclusion</title>
<p>We analyzed circulating ILCs and adaptive T lymphocyte subtypes in colorectal carcinogenesis. We revealed the involvement of Th subsets, especially Treg and Tfh cells, in CRC development and clarified the immunological characteristics of HPs.</p>
<p>These findings significantly enhance our understanding of the immune mechanisms underlying CRC and its precancerous lesions. Further investigation of the Treg and Tfh cells&#x2019; function in colorectal disease development will provide potential therapeutic targets for monitoring and preventing CRC development. Considering the easily obtainable and non-invasive characteristics of peripheral blood samples, demonstrating the change of peripheral functional cell subpopulations, like Treg and Tfh cells, during CRC carcinogenesis might provide novel target cells for the early screening of CRC patients.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Peking University Third Hospital Medical Science Research Ethics Committee. The studies were conducted in accordance with the local legislation and institutional requirements. The human samples used in this study were acquired from a by-product of routine care or industry. Written informed consent for participation was not required from the participants or the participants&#x2019; legal guardians/next of kin in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>QM: Data curation, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft. YZ: Data curation, Writing &#x2013; original draft. MX: Writing &#x2013; review &amp; editing. PW: Writing &#x2013; review &amp; editing. JL: Writing &#x2013; original draft. RC: Writing &#x2013; original draft. WF: Conceptualization, Formal analysis, Funding acquisition, Supervision, Writing &#x2013; review &amp; editing. SD: Funding acquisition, Project administration, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by grants from the National Natural Science Foundation of China, grant number 82371771, 81870386 and China Health and Medical Development Foundation Cooperation Project (to WF and to SD).</p>
</sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2024.1287632/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2024.1287632/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
</sec>
<fn-group>
<title>Abbreviations</title>
<fn fn-type="abbr">
<p>CRC, colorectal cancer; Th cells, T helper cells; ILCs, innate lymphoid cells; HCs, healthy controls; HPs, hyperplastic polyps; PBMCs, peripheral blood mononuclear cells; Treg cells, regulatory T cells; Tfh cells, T follicular helper cells; TNF, tumor necrosis factor; IFN, interferon; IL, interleukin; CD, cluster of differentiation.</p>
</fn>
</fn-group>
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