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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2026.1787200</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Tertiary lymphoid structures in genitourinary cancers: a comprehensive review</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Abreu</surname><given-names>Alvaro</given-names></name>
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<name><surname>Davicioni</surname><given-names>Elai</given-names></name>
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<name><surname>Bahmad</surname><given-names>Hisham F.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<name><surname>Shahait</surname><given-names>Mohammed</given-names></name>
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<aff id="aff1"><label>1</label><institution>Herbert Wertheim College of Medicine, Florida International University</institution>, <city>Miami</city>, <state>FL</state>,&#xa0;<country country="us">United States</country></aff>
<aff id="aff2"><label>2</label><institution>Veracyte, Inc.</institution>, <city>South San Francisco</city>, <state>CA</state>,&#xa0;<country country="us">United States</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Pathology and Laboratory Medicine, University of Miami Miller School of Medicine</institution>, <city>Miami</city>, <state>FL</state>,&#xa0;<country country="us">United States</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Urology, University of California, Irvine</institution>, <city>Irvine</city>, <state>CA</state>,&#xa0;<country country="us">United States</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Mohammed Shahait, <email xlink:href="mailto:Mshahait@yahoo.com">Mshahait@yahoo.com</email>; Hisham F. Bahmad, <email xlink:href="mailto:HBahmad@med.miami.edu">HBahmad@med.miami.edu</email>; <email xlink:href="mailto:hfbahmad@gmail.com">hfbahmad@gmail.com</email></corresp>
<fn fn-type="other" id="fn003">
<label>&#x2020;</label>
<p>These authors share senior authorship</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-25">
<day>25</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>16</volume>
<elocation-id>1787200</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>07</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Abreu, Viera Plasencia, Iribarren, Wegner, Nuraj, Davicioni, Bahmad and Shahait.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Abreu, Viera Plasencia, Iribarren, Wegner, Nuraj, Davicioni, Bahmad and Shahait</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-25">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p>Tertiary lymphoid structures (TLSs) are lymphoid cell clusters that form in non-lymphoid tissues in response to chronic inflammation and function as sites for localized, antigen-specific immune responses, potentially enhancing anti-tumor immunity. This review examines TLS presence, composition, and clinical significance across genitourinary (GU) cancers to evaluate their potential as prognostic and therapeutic targets. In prostate cancer, TLSs are infrequently found due to a typically immunologically inactive tumor microenvironment (TME), but when present, they correlate with improved outcomes and reduced recurrence, especially when structurally mature with active germinal centers (GCs). Bladder cancer, in contrast, demonstrates increased TLS activity, particularly in high-grade disease, with high TLS density associated with superior responses to Bacillus Calmette-Gu&#xe9;rin (BCG) therapy and anti-PD-L1 treatment. In testicular seminomas, TLSs have been associated with a more favorable prognosis, whereas non-seminomatous germ cell tumors demonstrate TLS suppression driven by SERPINB9-mediated downregulation of chemokines that promote their development. In clear cell renal cell carcinoma (ccRCC), TLSs correlate with improved survival and enhanced immunotherapy responses, although elevated <italic>CXCL13</italic> expression may paradoxically signal more aggressive disease. Unlike ccRCC, TLSs are infrequent in papillary and chromophobe RCC, reflecting a less-inflamed TME that likely contributes to reduced immunotherapy responsiveness and prognostic value. TLSs in penile squamous cell carcinomas show enhanced immune infiltration and improved overall survival (OS) independent of stage. Notably, mature TLSs are key for effective anti-tumor immunity, whereas immature TLSs may fail to generate an adequate response. Collectively, these findings highlight TLSs as prognostic biomarkers with prognostic value and therapeutic potential in GU malignancies.</p>
</abstract>
<kwd-group>
<kwd>bladder cancer</kwd>
<kwd>genitourinary cancers</kwd>
<kwd>kidney tumors</kwd>
<kwd>penile cancer</kwd>
<kwd>prostate cancer</kwd>
<kwd>review</kwd>
<kwd>tertiary lymphoid structures</kwd>
<kwd>testicular cancer</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="1"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="82"/>
<page-count count="12"/>
<word-count count="7012"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Genitourinary Oncology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Tertiary lymphoid structures (TLSs) are organized lymphoid cell clusters that resemble secondary lymphoid organs (SLOs) and form in non-lymphoid tissues in response to chronic inflammation. These structures are seen in conditions such as autoimmune diseases, persistent infections, and cancer. They lack a fibrous capsule, which enables them to integrate directly into the local tissue microenvironment. At a cellular level, TLSs are composed of B-cell follicles, T-cell zones, dendritic cells, follicular dendritic cells, and high endothelial venules (HEVs), forming a microscopic niche capable of supporting antigen presentation, lymphocyte activation, and germinal center (GC) reactions (<xref ref-type="bibr" rid="B1">1</xref>). These features allow TLSs to function as sites for the generation of localized, antigen-specific immune responses, potentially enhancing anti-tumor immunity (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>TLSs are dynamic structures whose development and maturation are influenced by cellular signals that promote lymphocyte aggregation and organization, driving the differentiation of early TLSs into functionally mature structures. In recent years, there has been increasing interest in these structures and their potential use as biomarkers for both prognosis and therapeutic responsiveness, particularly in the context of immune checkpoint blockade therapies (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>TLSs have been associated with increased infiltration of CD8+ T cells, memory T cells, B cells, and mature dendritic cells (<xref ref-type="bibr" rid="B4">4</xref>). Within the TME, these cells contribute to a coordinated anti-tumor immune response which often results in a more favorable clinical prognosis (<xref ref-type="bibr" rid="B3">3</xref>). Meta-analyses across various malignancy subtypes have demonstrated that the presence of TLSs correlates with improved survival outcomes, particularly in non-small cell lung cancer, colorectal cancer, and melanoma (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>The predictive value of TLSs is becoming increasingly recognized in genitourinary (GU) malignancies. In bladder cancer, TLSs have been identified in superficial and deep tumor compartments, with their composition and maturation states directly influencing immune checkpoint blockade responses (<xref ref-type="bibr" rid="B3">3</xref>). In prostate cancer (PCa), TLS formation is less frequent, but, if present, they play an important role in modulating immune activity within the TME. While immunotherapy has shown limited efficacy in PCa compared to bladder or kidney malignancies, new data suggest that the presence of TLS might serve as a biomarker for identifying the patient subsets that are more likely to benefit from such treatments (<xref ref-type="bibr" rid="B5">5</xref>). In renal malignancies, especially in clear cell renal cell carcinoma (ccRCC), TLSs have been linked to the presence of tumor-reactive T-cells and better therapeutic outcomes (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B6">6</xref>). In testicular germ cell tumors, TLS-like aggregates have been documented, often in association with seminomas exhibiting strong lymphoid infiltration (<xref ref-type="bibr" rid="B1">1</xref>). Lastly, penile squamous cell carcinomas occasionally harbor TLSs in peritumoral regions, although their functional impact remains poorly understood (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>Overall, TLSs are emerging as important immunological players in solid tumors, with growing potential as prognostic biomarkers and therapeutic targets in cancer immunotherapy. Their presence in GU tumors, though variable, may reveal key aspects of tumor immunity to guide and develop new treatments (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Tertiary lymphoid structures (TLSs) in genitourinary malignancies. TLSs are composed of B-cell follicles, T-cell zones, follicular dendritic cells, and HEVs, orchestrated by chemokines such as CXCL13 and CCL19 to support local immune activation. Their presence varies across GU tumors: rare but prognostically favorable in prostate cancer, frequent and predictive of BCG/ICI response in bladder cancer, common and outcome-modifying in clear cell RCC, enriched in seminomas, and survival-associated in penile SCC. The schematic was created in BioRender. Bahmad, H. (2026) <ext-link ext-link-type="uri" xlink:href="https://BioRender.com/865wuzs">https://BioRender.com/865wuzs</ext-link>. BCG, Bacillus Calmette-Gu&#xe9;rin; ccRCC, clear cell renal cell carcinoma; CD, cluster of differentiation; HEV, high endothelial venule; ICI, immune checkpoint inhibitor; IFN&#x3b3;, interferon gamma; IL-17, interleukin 17; MIBC, muscle-invasive bladder cancer; NMIBC, non-muscle invasive bladder cancer; PFS, progression-free survival; RCC, renal cell carcinoma; RFS, recurrence-free survival; SCC, squamous cell carcinoma; TLS, tertiary lymphoid structure.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1787200-g001.tif">
<alt-text content-type="machine-generated">Infographic on tertiary lymphoid structures in genitourinary cancers describes their composition—B-cell follicles, T-cell zones, follicular dendritic cell networks, chemokines, high endothelial venules, and antigen presentation. Legend illustrates cell types. Lower section summarizes clinical implications by organ: prostate, bladder, kidney, testicle, and penis, with associated visual icons and pertinent disease correlations.</alt-text>
</graphic></fig>
</sec>
<sec id="s2">
<label>2</label>
<title>TLS maturity stages and immunophenotypic markers</title>
<p>TLS maturity is classified into three distinct stages based on specific immunophenotypic markers and architectural features. The most widely accepted classification system defines these stages as: Stage 1 (Lymphoid Aggregates), Stage 2 (Non-GC TLS), and Stage 3 (GC-like TLS) (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<sec id="s2_1">
<label>2.1</label>
<title>Stage 1: lymphoid aggregates</title>
<p>Lymphoid aggregates represent the earliest and most immature form of TLSs. These structures are characterized by CD20+ B-cell clusters that lack follicular dendritic cell networks (CD21-) and absence of CD23 expression (CD23-). The immunophenotypic profile is CD20+CD21-CD23-, indicating neither architectural organization nor GC functionality. They consist of loosely organized B and T lymphocytes without defined compartmentalization or specialized stromal support structures.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Stage 2: non-GC TLSs</title>
<p>Non-GC TLSs demonstrate intermediate maturation with organized architecture but lack functional GC activity. The defining immunophenotypic signature is CD20+CD21+CD23-. The presence of CD21+ follicular dendritic cells here indicates structural organization with formation of follicular dendritic cell networks, but the absence of CD23 confirms lack of GC functionality. These structures exhibit spatial segregation of B-cell and T-cell zones but do not support active GC reactions including somatic hypermutation and affinity maturation.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Stage 3: GC-like TLS</title>
<p>GC-like TLS represent the most mature, functionally active form with complete GC organization and functionality. The immunophenotypic profile is CD20+ CD21+ CD23 +. These structures contain CD23+ follicular dendritic cells within well-developed GCs, indicating full functional capacity for B-cell selection and antibody affinity maturation. Additional GC markers include BCL6+ proliferating B cells (a transcription factor essential for GC formation), Ki67+ cells (marking active proliferation with distinct dark and light zones), and BCL2- GC B cells (distinguishing them from na&#xef;ve B cells).</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Methodological approaches to TLS assessment</title>
<p>TLS assessment employs multiple complementary methodologies, each with distinct advantages and limitations. H&amp;E-based identification remains the foundation of TLS detection, relying on recognition of dense lymphoid aggregates with or without visible GCs (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). This approach enables initial screening but requires validation with immunohistochemistry (IHC) for accurate maturation staging. Standard IHC panels typically include CD20 (B cells), CD3 (T cells), CD21 (follicular dendritic cells), CD23 (GC marker), BCL6 (GC B cells), and Ki-67 (proliferation marker) (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). A streamlined approach using H&amp;E staining combined with CD23 IHC has demonstrated high interrater agreement (kappa 0.90) for maturation assessment and can be applied across all specimen types (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>Quantification approaches vary substantially across studies, contributing to heterogeneity in prognostic comparisons. Common metrics include TLS density (TLS per mm&#xb2; of tumor area), TLS area fraction (percentage of total tissue occupied by TLS), and binary presence/absence scoring (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Gene expression signatures offer an alternative or complementary approach, with validated panels including 12-chemokine signatures (<italic>CXCL13</italic>, <italic>CCL19</italic>, <italic>CCL21</italic>), 7-gene signatures (<italic>CXCL13</italic>, <italic>CCL19</italic>, <italic>MS4A1</italic>, <italic>LTB</italic>, <italic>CD37</italic>, <italic>CORO1A</italic>, <italic>IKZF1</italic>), and broader 17&#x2013;23 gene panels incorporating B-cell, T-cell, and dendritic cell markers (<xref ref-type="bibr" rid="B13">13</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>). These transcriptomic approaches enable TLS assessment in archival samples lacking tissue for IHC but may not capture spatial organization or maturation status as precisely as histological methods. The lack of standardization across these methodologies significantly impacts cross-study comparisons and limits clinical implementation, highlighting the need for consensus guidelines on TLS assessment in genitourinary malignancies (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B14">14</xref>).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Other classification systems</title>
<p>Some studies employ a morphology-based classification distinguishing early TLS (E-TLS), primary follicle-like TLS (PFL-TLS), and secondary follicle-like TLS (SFL-TLS) (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). Secondary follicle-like TLSs resemble mature GC-like TLS with visible GCs on H&amp;E staining or CD23+ follicular dendritic cells. This classification focuses on the presence of GCs as the critical distinguishing feature of mature TLS.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Clinical significance of maturation stages</title>
<p>The maturation stage directly correlates with functional capacity and clinical outcomes. Mature GC-like TLS with functional GCs demonstrate superior prognostic value compared to immature lymphoid aggregates, particularly in predicting immunotherapy response (<xref ref-type="bibr" rid="B19">19</xref>). This reflects the enhanced capacity of mature TLS to support local adaptive immune responses, including B-cell affinity maturation, plasma cell differentiation, and generation of tumor-reactive antibodies (<xref ref-type="bibr" rid="B20">20</xref>, <xref ref-type="bibr" rid="B21">21</xref>).</p>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>TLS in prostate cancer</title>
<p>Prostate cancer (PCa) usually has an immunologically inactive TME with few lymphocytic infiltrations and rare TLS development (<xref ref-type="bibr" rid="B22">22</xref>). However, cases of spontaneous tumor regression have been reported to display mature TLSs with active GCs along with CD4+ and CD8+ T cell infiltration (<xref ref-type="bibr" rid="B23">23</xref>). These regions have also been found to be COX-2 negative and have fewer numbers of regulatory T-cells, suggesting that local immunosuppression modulate TLSs density (<xref ref-type="bibr" rid="B23">23</xref>). Targeting pathways like prostaglandin or stromal signaling should enhance TLS induction and increase response to immunotherapy (<xref ref-type="bibr" rid="B23">23</xref>). Although there are no trials currently focusing on TLSs in PCa, blockade of stroma and prostaglandin-mediated suppression may potentially help to facilitate TLSs induction and responses to immunotherapy.</p>
<sec id="s3_1">
<label>3.1</label>
<title>Localized prostate cancer</title>
<p>In PCa, the presence of TLSs has gained interest due to their role in immunomodulation, therapy, and prognosis (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>). In localized PCa, TLSs can be found in peri-tumoral or intra-tumoral regions (<xref ref-type="bibr" rid="B24">24</xref>). These structures are enriched in immune-active gene expression, containing T-cell and B-cell related clusters and MHC class I/II (<xref ref-type="bibr" rid="B24">24</xref>). The presence of TLSs is also negatively associated with immunosuppressive profiles, such as T-regulatory cells and myeloid-derived suppressor cells; suggesting a role in counteracting immune evasion (<xref ref-type="bibr" rid="B24">24</xref>).</p>
<p>TLS formation in PCa may be driven by chemokines and cytokines such as chemokine (C-X-C motif) ligand (CXCL)-13 and interleukin (IL)-7, which promote lymphoid cells recruitment and the formation of HEVs (<xref ref-type="bibr" rid="B1">1</xref>). Additionally, TLS maturation and immunologic support are regulated through lymphotoxin-b receptor signaling, which coordinates immune-stromal communication and chemokine production (<xref ref-type="bibr" rid="B26">26</xref>). Classically, PCa&#x2019;s are classified as immunologically &#x201c;cold&#x201d;, but TLS-positive tumors can have CD8+ T-cell infiltration, which is related to improved outcomes and reduced recurrence (<xref ref-type="bibr" rid="B27">27</xref>). This antitumor potential is enhanced in mature TLSs that contain follicular dendritic cells and GCs, by supporting antigen presentation and B-cell activation (<xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>The presence of TLSs is linked to greater CD8+ T-cell infiltration, higher Th1 responses, and reduced Treg density, which work to slow tumor growth and increased immune-mediated cytotoxicity (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>). However, in some cases, poorly organized or immature TLSs may fail to create an appropriate immune response and instead be a niche for suppressive immune cell clusters (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Thus, TLSs maturity appears to play a role in determining their effects on disease progression. The physical location of TLSs within PCa&#x2019;s also plays a role in modulating the TME. Peri-tumoral TLSs are related to antigen presentation pathways, while intra-tumoral TLSs are more associated with T-cell-related activity (<xref ref-type="bibr" rid="B24">24</xref>). Generally, TLSs have been associated with better prognosis across many malignancy types, and preliminary data suggest similar implications in PCa, opening the door for the development of new prognostic and therapeutic modalities (<xref ref-type="bibr" rid="B6">6</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Metastatic prostate cancer</title>
<p>TLSs are less frequently found in metastatic PCa, especially in bone and liver metastases (<xref ref-type="bibr" rid="B30">30</xref>). The sites of metastasis are dominated by immunosuppressive cytokines and are characterized by the absence of TLSs and reduced antigen expression, contributing to immune escape and resistance to treatment (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>The absence or dysfunction of TLSs in metastatic disease contributes to the poor response rates observed with immune checkpoint inhibitors in PCa. For example, trials using PD-1 and CTLA-4 blockade have shown modest results, possibly due to a lack of organized immune zones within the tumor or low T-cell infiltration (<xref ref-type="bibr" rid="B31">31</xref>). Therefore, induction of TLSs formation through cytokine modulation or LTbR activation may improve immune recognition and decrease resistance to immunotherapy (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>Another promising use of TLSs lies in the heterogeneity of these structures in PCa, which highlights the need for TLS-based stratification. Patients with high TLSs density and mature structures may benefit from immunotherapy, whereas those lacking them might require TLSs-priming strategies before checkpoint inhibition. As a result, TLS profiling could be used as a guide to optimize treatment strategies (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B24">24</xref>). Of note, while most of the existing data highlight their protective role, certain subsets of these TLSs may facilitate tumor survival (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Immature TLSs or those with immunosuppressive cellular environments via infiltration of T-regs and M2 macrophages, which reduce the efficacy of checkpoint blockade and other immune-based therapies, may promote disease progression (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Therefore, it is essential to understand the cellular composition and maturation stage of TLSs. To achieve this, research has proposed developing a staging system for TLSs from early aggregates to structures with fully functional GC, which may help predict outcomes more accurately (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B6">6</xref>).</p>
<p>Looking forward, a multi-modal approach combining TLS induction, immune checkpoint inhibition, and androgen deprivation therapy may offer synergistic benefits in the treatment of PCa&#x2019;s. This would address both the immunosuppressive TMEs and the hormonal dependence of PCa&#x2019;s, while promoting immune infiltration and memory T-cell generation (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B31">31</xref>).</p>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>TLS in bladder cancer</title>
<p>Existing data regarding TLSs in malignancies of the urinary bladder also agree on their potential as prognostic biomarkers and targets for immunotherapy. TLSs have been identified in both non-muscle invasive bladder cancer (NMIBC) and muscle-invasive bladder cancer (MIBC), though their frequency and maturation differ significantly by tumor grade and stage (<xref ref-type="bibr" rid="B32">32</xref>). TLSs were more frequently observed in high-grade NMIBC and MIBC than in low-grade NMIBC, suggesting that TLS presence increases with tumor stage and grade (<xref ref-type="bibr" rid="B32">32</xref>). This TLS enrichment in advanced disease reflects the establishment of immune-inflamed tumor microenvironment (TME) characterized by enhanced infiltration of CD8+ T cells, B cells, and mature dendritic cells, along with upregulation of effector molecules such as GZMA, IFNG, and PDCD1 (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Importantly, the prognostic benefit of TLS is treatment-dependent; while TLS density and maturation predict superior responses to BCG therapy in NMIBC and immune checkpoint inhibitors in MIBC, they show no association with outcomes following neoadjuvant chemotherapy alone (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). In this context, mature TLS with GC formation predict BCG and ICI responsiveness, potentially offsetting the adverse biology associated with higher tumor stage and grade through coordinated local adaptive immune responses.</p>
<sec id="s4_1">
<label>4.1</label>
<title>TLS in early-stage non-muscle invasive bladder cancer</title>
<p>While TLSs are present in early-stage bladder cancer, they tend to be less mature and organized in NMIBC, potentially due to less chronic inflammation in early stages of the disease (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B36">36</xref>). Spatial transcriptomic analysis has provided further insight, identifying the colocalization of CXCL13<sup>+</sup> CD4<sup>+</sup> T-cells and CXCR<sup>+</sup> NR4A2<sup>+</sup> B-cells within TLSs regions, highlighting the CXCL13-CXCR5 axis as a key mechanism in TLS formation (<xref ref-type="bibr" rid="B15">15</xref>). Mature TLS, marked by structured, well-defined, B-cell zones and follicular dendritic cell networks, were more commonly observed in MIBC tumors, underscoring the progressive maturation in TLSs in the setting of advancing disease (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>The presence and density of TLSs in NMIBC cancer has demonstrated a strong association with improved response to Bacillus Calmette-Guerin (BCG) therapy. In a cohort analysis, 62.5% of patients with high TLS density achieved a complete response to BCG, compared to only 27.3% in the low TLS density group, further cementing the value TLSs have in achieving favorable therapeutic responses (<xref ref-type="bibr" rid="B32">32</xref>). Additionally, NMIBC patients whose tumors had a high TLSs signature scores experienced significantly longer recurrence-free survival (RFS) and had greater infiltration of CD8<sup>+</sup> T cells and B cells, both critical for anti-tumor immunity (<xref ref-type="bibr" rid="B36">36</xref>). These findings may be attributed to TLSs enhancing BCG efficacy by enabling a coordinated immune response through the recruitment and activation of B-cells, dendritic cells, and T cells within the TME (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>TLSs have also emerged as promising prognostic biomarkers in NMIBC. Although TLSs were less frequently observed in NMIBC compared to muscle-invasive disease, their presence still correlated with improved survival outcomes, including in BCG-treated patients, though this did not reach statistical significance in some analyses (<xref ref-type="bibr" rid="B15">15</xref>). Regardless, TLS signature scores were independently associated with increased RFS and progression-free survival (PFS) in NMIBC patients and high TLS scores were linked to better disease-free survival (DFS) across three independent bladder cancer cohorts (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). Lastly, retrospective analyses also identified TLSs as a biomarker of reduced recurrence and progression risk in NMIBC (<xref ref-type="bibr" rid="B1">1</xref>).</p>
</sec>
<sec id="s4_2">
<label>4.2</label>
<title>TLS in locally advanced bladder cancer</title>
<p>In MIBC, TLSs are more prevalent and structurally mature compared to those in early-stage disease; supporting the idea of increased density and organization with advanced tumor biology (<xref ref-type="bibr" rid="B39">39</xref>). At the immunological level, TLSs were positively correlated with CD8<sup>+</sup> T cells, dendritic cells, and M1 macrophages, and negatively associated with immunosuppressive M2 macrophages and T-regs, supporting the evidence that mature, functioning TLSs contribute to a tumor-suppressive microenvironment (<xref ref-type="bibr" rid="B40">40</xref>). In a study by Ligon et. al., TLSs were observed in 60% of MIBC tumors, predominantly as mature follicular TLS (FL-TLS) characterized by CD21<sup>+</sup> follicular dendritic cells and GC-like architecture (<xref ref-type="bibr" rid="B41">41</xref>). Additionally, a high TLS signature score in patients receiving anti-PD-1/PD-L1 therapy resulted in improved objective response rate (ORR) and (PFS), reinforcing the evidence of the significant role these TLSs play therapy response (<xref ref-type="bibr" rid="B36">36</xref>).</p>
<p>TLSs in MIBC are strongly associated with an immune-inflamed TME characterized by enhanced immune cell infiltration and functional activation. Correspondingly, gene expressions within TLS-enriched zones showed elevated levels of effector molecules such as GZMA, IFNG, and PDCD1, and signatures of tumor-reactive T-cells were significantly increased in TLS-positive MIBC samples (<xref ref-type="bibr" rid="B15">15</xref>). Plasma cell numbers were also increased in TLS-positive environments, and secreted immunoglobulin heavy constant gamma (IGHG)-1 and IGHG3 which are immunoglobulin isotypes associated with antibody-dependent cellular phagocytosis (<xref ref-type="bibr" rid="B15">15</xref>).</p>
<p>In MIBC, TLS-rich tumors also exhibit increased densities of CD8<sup>+</sup> T cells, CD20<sup>+</sup> B cells, and DC-LAMP<sup>+</sup> dendritic cells, suggesting a robust immune landscape and a highly inflamed immune tumor milieu (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Immune cell densities were greatest within TLSs regions of interest and decreased with distance from TLSs, emphasizing their localized immunological activity (<xref ref-type="bibr" rid="B42">42</xref>). Furthermore, follicular TLSs (FL-TLSs) contained higher B-cell densities and occupied larger spatial domains than early TLSs (E-TLSs), further supporting the relation between structural maturity and adequate function (<xref ref-type="bibr" rid="B42">42</xref>). These structurally mature TLSs seen in MIBC, are also associated with elevated CD8<sup>+</sup> T-cell infiltration, which further highlights the immune-inflamed tumor phenotype (<xref ref-type="bibr" rid="B1">1</xref>). Together, these organized structures promote antigen presentation via follicular dendritic cells and mature dendritic cells and coordinate T and B-cell zones, thereby establishing a localized immune-responsive niche within the TME (<xref ref-type="bibr" rid="B39">39</xref>).</p>
<p>The presence of TLSs and their associated genetic signatures have been linked to favorable responses to immune checkpoint blockade in MIBC. In the IMvigor210 cohort, patients with higher TLSs gene signature scores exhibited significantly improved overall survival (OS) following anti-PD-L1 therapy (<xref ref-type="bibr" rid="B15">15</xref>). A 7-gene TLS-specific signature, comprising CXCL13, CCL19, MS4A1, LTB, CD37, CORO1A, and IKZF1, was developed to stratify patients by their response to checkpoint inhibitors (<xref ref-type="bibr" rid="B15">15</xref>). Similarly, TLS score was a strong predictor of complete or partial response among anti-PD-L1-treated patients in IMvigor210 (<xref ref-type="bibr" rid="B38">38</xref>). Notably, patients categorized as TLS-high-PMN-MDSC-low demonstrated the best prognoses, while TLS-low-PMN-MDSC-high had the poorest outcomes (<xref ref-type="bibr" rid="B42">42</xref>). TLS signatures, including 12-chemokine and CXCL13-based models, were also associated with enhanced survival in the IMvigor210 trial (<xref ref-type="bibr" rid="B42">42</xref>). Multiple large-scale studies, such as the IMvigor210 cohorts, have confirmed elevated TLS gene expression in responders to PD-1/PD-L1 blockade (<xref ref-type="bibr" rid="B1">1</xref>). Clinical evidence continues to demonstrate that TLS-rich tumors in bladder cancer respond more favorably to checkpoint blockade therapy, and high TLS signature scores are also associated with elevated expression of immune checkpoint molecules and superior anti-PD-L1 therapeutic response (<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>TLS structures also appear to positively influence therapeutic responsiveness within the context of neoadjuvant therapies. In the BLASST-1 trial, which evaluated neoadjuvant nivolumab, gemcitabine, and cisplatin followed by radical cystectomy in patients with MIBC, transcriptome-wide profiling of 37 pretreatment transurethral resection of bladder tumor (TURBT) specimens was performed to identify signatures predictive of pathological response rate (PaR) and pathological complete response (PCR) (<xref ref-type="bibr" rid="B43">43</xref>). Higher immune activation signatures (which serve as a proxy for TLS presence) and other immune-rich signatures correlate with better PaR in the TME (<xref ref-type="bibr" rid="B43">43</xref>). These findings further support the role of TLS in establishing an immune-inflamed TME that enhances therapeutic sensitivity and contributes to improved treatment outcomes.</p>
</sec>
<sec id="s4_3">
<label>4.3</label>
<title>TLS in metastatic bladder cancer</title>
<p>TLSs are found in both primary and metastatic bladder cancer, though those in metastases are typically less mature and organized (<xref ref-type="bibr" rid="B44">44</xref>). To better characterize TLS in this context, a seven-gene TLS-related signature, comprising <italic>CXCL13</italic>, <italic>CCL19</italic>, <italic>CD79A</italic>, <italic>CD27</italic>, <italic>MS4A1</italic>, <italic>LTB</italic>, and <italic>SELL</italic>, was developed using LASSO regression to predict TLS presence and immune activity across primary and metastatic disease (<xref ref-type="bibr" rid="B38">38</xref>).</p>
<p>TLSs play a key role in systemic immune responses in bladder cancer. A conserved immune profile, including TLS-related gene signatures, is seen across matched primary and metastatic tumors, suggesting TLSs contribute to a unified systemic immune phenotype (<xref ref-type="bibr" rid="B44">44</xref>). In metastatic blader cancer, TLS score was also found to positively correlate with increased CD8<sup>+</sup> T cell infiltration, dendritic cell abundance, and M1 macrophages, B-cell receptor signaling genes, class-switched immunoglobulins, and antigen presentation components, while showing a negative correlation with M2 macrophages and Tregs, indicating a tumor-suppressive immune landscape (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B41">41</xref>).</p>
<p>TLS-associated gene signatures, particularly those including <italic>CXCL13</italic> and <italic>CCL19</italic>, have also been validated in multiple cohorts treated with PD-1/PD-L1 blockade, further underscoring their role in mediating antitumor immunity at both local and systemic levels (<xref ref-type="bibr" rid="B33">33</xref>). Patients with high TLS gene expression signatures in metastatic lesions also exhibited similar r benefits resulting in longer PFS following checkpoint blockade therapy (<xref ref-type="bibr" rid="B44">44</xref>). Integration of TLSs mapping with digital pathology techniques enables spatial identification of immune-enriched regions that correlate with treatment response and survival outcomes (<xref ref-type="bibr" rid="B36">36</xref>). Among patients treated with anti-PD-1 or PD-L1 agents, those with high TLS scores demonstrated higher ORR (42% vs. 19%) and longer OS (median not reached vs. 9.4 months) (<xref ref-type="bibr" rid="B37">37</xref>).</p>
<p>Given these findings, an immune scoring approach based on TLS high PMN-MDSC low has been proposed to help identify patients most likely to benefit from immune checkpoint blockade (<xref ref-type="bibr" rid="B42">42</xref>). Additionally, in support of translational strategies, induction of TLSs through cytokines such as LIGHT and CCL21 or via dendritic cell vaccines has shown preclinical efficacy in enhancing antitumor immunity (<xref ref-type="bibr" rid="B33">33</xref>).</p>
<p>Bladder cancer has been a major focus of research investigating how immune checkpoint therapies may drive TLS development. One example is the phase 1b NABUCCO trial, which evaluated neoadjuvant ipilimumab and nivolumab in patients with MIBC. The combination targets two key immune checkpoints, CTLA-4 and PD-1. During the study, 24 patients were treated with two doses of ipilimumab followed by nivolumab. It was found that 46% of participants showed no viable tumor at the time of cystectomy post-treatment (<xref ref-type="bibr" rid="B45">45</xref>). Upon histological and molecular analysis, a subset of specimens demonstrated apparent TLS formation, which was defined by dense lymphocytic aggregates, the presence of follicular dendritic cells, and the evidence of B-cell activation and immune infiltration (<xref ref-type="bibr" rid="B45">45</xref>). The finding supported that the checkpoint blockade may not only enable the formation of TSLs within tumors but also elicit antitumor immunity (<xref ref-type="bibr" rid="B45">45</xref>). Within the context of dual checkpoint blockade, another study analyzed the effects of durvalumab/tremelimumab combination in cisplatin-ineligible patients. The study showed promising results with a viable tumor rate of 37.5% and a downstaging rate of 58% (<xref ref-type="bibr" rid="B46">46</xref>). While TLSs were not directly quantified, upregulation of B-cell associated genes was observed in responding tumors using transcriptomic analysis, consistent with TLS activity (<xref ref-type="bibr" rid="B46">46</xref>).</p>
</sec>
<sec id="s4_4">
<label>4.4</label>
<title>Ongoing trials</title>
<p>Currently, ongoing trials aim to better understand and enhance TLS responses. The SURE-01 trial evaluates pembrolizumab, a PD-1 inhibitor, as neoadjuvant therapy in cisplatin-ineligible patients, incorporating tissue analysis to assess changes in TLS density and maturity (<xref ref-type="bibr" rid="B47">47</xref>). The NURE-Combo trial studies nivolumab with nab-paclitaxel to determine whether this combination induces immune infiltration and promotes TLS formation (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>). The SURE-02 trial tests pembrolizumab with sacituzumab govitecan, targeting Trop-2, to evaluate the effects of combining immune checkpoint inhibition with targeted cytotoxic therapy on TLS induction and maintenance (<xref ref-type="bibr" rid="B50">50</xref>).</p>
</sec>
</sec>
<sec id="s5">
<label>5</label>
<title>TLSs in testicular cancer</title>
<p>TLSs in the setting of testicular cancer is an area of emerging interest, and data describing their role and significance in these tumors are limited. Generally, the testes are an immune-privileged site, but inflammation can disrupt this environment and promote immune-cell infiltration. In the setting of testicular malignancies, TLSs contribute to the local immune response and may influence tumor progression and spread. Their presence is often associated with stronger immune activity and better prognosis, while their absence or suppression may reflect a more aggressive pathology.</p>
<sec id="s5_1">
<label>5.1</label>
<title>Localized testicular cancer</title>
<p>In a model of autoimmune orchitis, TLSs resembling secondary lymphoid structures consisting of B-cells, T-cells, follicular dendritic cells, and HEVs have been observed; indicating local antigen processing and adaptive immune activity (<xref ref-type="bibr" rid="B51">51</xref>). In these models, TLS formation in the testes was associated with exposure to spermatic antigens and characterized by upregulation of the lymphoid-organizing chemokines CXCL13 and CCL19 (<xref ref-type="bibr" rid="B51">51</xref>). Their formation was observed in areas adjacent to seminiferous tubule destruction, suggesting an immune response to localized antigen release (<xref ref-type="bibr" rid="B51">51</xref>). The reported upregulation of chemokines such as CXCL13 and CCL19 in these settings further provides evidence of lymphocyte aggregation and TLS maturation (<xref ref-type="bibr" rid="B51">51</xref>). Although these findings have been studied in the setting of an infectious process, they provide an opportunity to understand the role of TLSs in the testes.</p>
<p>TLSs have sporadically been identified in testicular tumors, especially seminomas, and they are typically associated with areas of dense lymphoid infiltration (<xref ref-type="bibr" rid="B1">1</xref>). Current data suggest that TLSs positive tumors play a role in local anti-tumor immune responses. Notably, the proximity of TLSs to intratumoral vessels and necrotic areas in seminomas suggests that antigen release from tissue damage may play a role in their formation (<xref ref-type="bibr" rid="B1">1</xref>). These findings suggest active local immune responses with organized B-cell and T-cell areas and mature dendritic cells (<xref ref-type="bibr" rid="B1">1</xref>). Unlike autoimmune orchitis models-where TLS formation is linked to spermatic antigen exposure and chemokine upregulation-TLS-like structures in seminomas appear near dense lymphoid infiltrates, though the exact factors driving their formation remain unknown (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B51">51</xref>).</p>
<p>In testicular germ cell tumors (TGCTs), differences in TLS composition and presence are evident between seminoma and non-seminoma tumor subtypes. Of note, the presence of TLSs in seminomas without evidence of their suppression in the TME - along with their slow progression and favorable prognosis underscores the possible role of TLSs in slowing tumor progression and spread (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B52">52</xref>). In contrast, non-seminomatous germ cell tumors - particularly embryonal carcinoma (EC)-exhibit a distinct immune profile, with evidence of active TLS suppression (<xref ref-type="bibr" rid="B52">52</xref>). Single-cell RNA sequencing has shown that high SERPINB9 expression in metastatic EC correlates with downregulation of TLS-related chemokines (CXCL13, IL-6, IL-6, and CCL5), suggesting a reduced capacity to recruit and organize immune cells into TLS-like structures (<xref ref-type="bibr" rid="B53">53</xref>). This immune suppression may hinder local anti-tumor immune response. SERPINB9 expression is also associated with increased tumor stemness features and greater metastatic potential, suggesting a broader role in shaping an immunosuppressive TME (<xref ref-type="bibr" rid="B53">53</xref>). Collectively, these findings highlight fundamental differences in TLS presence and immune organization between seminomas and non-seminoma TGCTs and highlights the need for further research in the role and significance of TLSs across testicular malignancies.</p>
</sec>
<sec id="s5_2">
<label>5.2</label>
<title>TLSs in metastatic testicular germ cell tumors</title>
<p>In testicular cancer, metastasis often occurs via lymphatic spread to retroperitoneal nodes - and the environment may either support or inhibit TLS formation depending on the tumor&#x2019;s immune-modulating capabilities (<xref ref-type="bibr" rid="B53">53</xref>). SERPINB9 expression in metastatic sites has been associated with suppression of TLS-promoting chemokines, which may contribute to an immune-suppressive environment and resistance to immune checkpoint therapy (<xref ref-type="bibr" rid="B53">53</xref>). Their absence, especially in tumors expressing immunosuppressive mediators like SERPINB9, is associated with more aggressive tumor behavior and greater incidence of therapeutic resistance (<xref ref-type="bibr" rid="B53">53</xref>). This association serves as a promising area of study for predicting and monitoring tumor behavior and for developing new therapies.</p>
<p>TLS status could serve as a biomarker in testicular cancer management and immunotherapy planning. Moreover, modulating TLS-inducing chemokines and targeting suppressors genes may provide a foundation for TLS-focused immunotherapies. Further, insights from other malignancies suggest that strategies aimed at promoting TLS formation may hold promise in inducing immune responses in tumors with poor baseline immunogenicity (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B52">52</xref>).</p>
</sec>
</sec>
<sec id="s6">
<label>6</label>
<title>TLS in kidney tumors</title>
<p>In clear cell renal cell carcinoma (ccRCC), TLSs are relatively common; however, their prognostic value remains context dependent. Much of the available evidence links the presence of TLSs to improved clinical outcomes; but current data also associate specific TLS phenotypes, maturity levels, or chemokine signatures - particularly elevated CXCL13 - with more aggressive disease and poorer prognosis (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>Compared to ccRCC, TLSs in papillary RCC (pRCC) and chromophobe RCC (chRCC) are infrequently observed (<xref ref-type="bibr" rid="B54">54</xref>). The immune TME in these subtypes is typically less inflamed, characterized by reduced densities of tumor-infiltrating lymphocytes (TILs) and TLS. Such differences potentially explain their diminished responsiveness to immunotherapy and a limited prognostic impact associated with TLS presence (<xref ref-type="bibr" rid="B54">54</xref>&#x2013;<xref ref-type="bibr" rid="B56">56</xref>).</p>
<sec id="s6_1">
<label>6.1</label>
<title>TLS in early-stage kidney tumors</title>
<p>TLSs identified in early-stage renal cell carcinoma (RCC) correlates with enhanced infiltration of immune effector cells, particularly CD8<sup>+</sup> cytotoxic T-cells and B-cells, promoting an inflammatory TME that may support both cellular and humoral antitumor immunity (<xref ref-type="bibr" rid="B54">54</xref>). Additionally, specific chemokines, most notably CXCL13, CCL19, and CCL21, have been identified as essential mediators in TLS formation, organization, and function. In ccRCC with high TLSs density, it was found that expression of these chemokines was significantly higher compared to TLSs negative tumors (<xref ref-type="bibr" rid="B54">54</xref>). The increase chemokine expression was also observed to correlate with higher immune effector cell infiltration (<xref ref-type="bibr" rid="B54">54</xref>). Interestingly, although TLSs are associated with a better prognosis, expression of CXCL13 was specifically associated with shorter progression-free and OS (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B54">54</xref>).</p>
<p>In ccRCC, the presence of mature TLSs containing well-developed GCs is associated with significantly improved clinical outcomes (<xref ref-type="bibr" rid="B54">54</xref>). These patients with TLS-rich tumors experienced longer OS and progression-free survival (<xref ref-type="bibr" rid="B54">54</xref>). TLS-rich tumors were also associated with higher expression of immune checkpoint&#x2013;relevant markers and greater predicted response scores to PD-1 and CTLA-4 inhibitors (<xref ref-type="bibr" rid="B54">54</xref>). These findings highlight the prognostic and therapeutic value of structurally mature and functional TLSs in ccRCC.</p>
</sec>
<sec id="s6_2">
<label>6.2</label>
<title>TLS in metastatic kidney tumors</title>
<p>In their study, <xref ref-type="bibr" rid="B57">57</xref>, analyzed matched primary tumors (PTs) and distant metastases (METs) from 47 patients with ccRCC. Digital spatial profiling was used to assess CD8<sup>+</sup> Tcell distribution, co-expression of the exhaustion marker TOX, and to quantify TLS density (<xref ref-type="bibr" rid="B57">57</xref>). Most METs displayed an immune &#x201c;cold&#x201d; phenotype, defined by low densities of lymphocytes and TLSs (<xref ref-type="bibr" rid="B57">57</xref>). However, a small subset of METs classified as &#x201c;inflamed&#x201d; exhibited larger cumulative TLS areas and higher proportions of CD8<sup>+</sup>TOX<sup>+</sup> T-cells compared to their matched PTs subset (<xref ref-type="bibr" rid="B57">57</xref>). At the same time, they observed that &#x201c;hot&#x201d; PTs, with dense CD8<sup>+</sup> infiltration and increased CD8<sup>+</sup>TOX<sup>+</sup> T-cells, were associated with shorter disease-free survival, suggesting that high immune cell presence may reflect T-cell exhaustion rather than effective immune control (<xref ref-type="bibr" rid="B57">57</xref>). These findings support the idea that immune features, including high TLSs density, may progress with advancing disease and evolve into dysfunctional units (<xref ref-type="bibr" rid="B57">57</xref>). In this context, TLSs may be used as highly informative biomarkers for stratifying disease progression, staging, and treatment options.</p>
</sec>
</sec>
<sec id="s7">
<label>7</label>
<title>TLS in Penile Cancer</title>
<p>The TME of penile cancer has become an area of growing interest, particularly with respect to TLSs. These ectopic lymphoid aggregates are increasingly recognized as important modulators of local immunity in solid tumors, but their significance in penile malignancies is poorly understood.</p>
<sec id="s7_1">
<label>7.1</label>
<title>TLS in localized penile cancer</title>
<p>In localized penile squamous cell carcinoma (SCC), TLSs have been identified within the tumor parenchyma and surrounding stromal regions, indicating active local immune engagement (<xref ref-type="bibr" rid="B58">58</xref>). As seen in many other TLSs positive solid tumors, IHC analyses revealed that TLS-positive penile SCC exhibited higher infiltration of CD8+ T-lymphocytes and CD20+ B cells, along with more mature dendritic cells, compared to TLS-negative tumors (<xref ref-type="bibr" rid="B58">58</xref>). Of significant interest however, it was found that TLS positive penile SCCs were independently associated with better OS, regardless of tumor stage or nodal status, suggesting that localized immune responses within the TME significantly influences disease progression (<xref ref-type="bibr" rid="B58">58</xref>). Additionally, TLS-positive tumors exhibited upregulation of genes related to immune activation, including markers of cytotoxic T-cell activity such as granzyme B (GZMB) and interferon gamma (IFNG) (<xref ref-type="bibr" rid="B58">58</xref>). These tumors also had lower expression of immunosuppressive cytokines compared to their TLS-negative counterparts, suggesting a favorable environment for anti-tumor immune responses (<xref ref-type="bibr" rid="B58">58</xref>). These findings have been substantiated by a robust multicenter cohort of 165 penile SCC cases, in which patients with fewer TLSs demonstrated significantly worse OS with hazard ratio (HR) of 2.17 (95% CI: 0.94-5; <italic>P</italic> = 0.069). High B-cell immunoscore (reflecting CD20+ and CD138+ cell densities within and around TLS) was independently associated with improved OS with HR of 1.89 (95% CI: 1.18-3.03; <italic>P</italic> = 0.008) (<xref ref-type="bibr" rid="B59">59</xref>). Notably, high TLS diameter correlated with brisk lymphocytic infiltrate (OR = 2.24; 95% CI: 1.10-4.55; <italic>P</italic> = 0.021), and high B-cell immunoscores were strongly associated with mutated <italic>p53</italic> profiles and enhanced immune activation (<xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B60">60</xref>). Recent spatial transcriptomic analyses have further revealed that CD74+ B cells within TLS are enriched during early TLS formation and engage with na&#xef;ve T cells through HLA-DRA-mediated interactions, activating key transcription factors (<italic>NFKB1</italic>, <italic>NFKB2</italic>, <italic>NFATC1</italic>, <italic>FOS</italic>, <italic>RUNX1</italic>) that enhance local immune responses and correlate with improved patient survival (<xref ref-type="bibr" rid="B61">61</xref>).</p>
<p>Further supporting this data, TLS-positive tumors were found to have lower serum levels of squamous cell carcinoma antigen (SCCAg), a biomarker that correlates to increased tumor burden and poor prognosis (<xref ref-type="bibr" rid="B62">62</xref>). These observations hint at the prominent role these structures have on penile SCC progression, and to their value as prognostic and therapeutic targets.</p>
<p>Lymphovascular invasion is a well-established adverse prognostic factor in penile SCC, and the presence of robust local immune responses may theoretically help limit distant spread (<xref ref-type="bibr" rid="B63">63</xref>). Supporting this statement, the study by Yi et&#xa0;al. (<xref ref-type="bibr" rid="B64">64</xref>) showed that weak local immune control at the primary tumor site in penile SCC is linked to early lymphatic spread and pelvic node metastasis (<xref ref-type="bibr" rid="B64">64</xref>). Although primary data are limited, in the context of the general findings by Yi et&#xa0;al. (<xref ref-type="bibr" rid="B64">64</xref>) and the established data supporting TLSs role in modulating antitumor immunity in solid tumors, it is worth noting the crucial role that TLSs may have in preventing penile SCC metastatic spread (<xref ref-type="bibr" rid="B64">64</xref>).</p>
<p>Beyond TLS-specific investigations, recent immuno-oncology studies have characterized the broader tumor immune microenvironment in penile SCC (<xref ref-type="bibr" rid="B60">60</xref>, <xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B66">66</xref>), revealing critical insights into immune checkpoint expression, tumor-immune interactions, and mechanisms of immune evasion that provide biological context for TLS-mediated immune control (<xref ref-type="bibr" rid="B67">67</xref>). Inflammation plays a crucial role in penile cancer development and progression, with the tumor immune microenvironment characterized by tumor-associated macrophages, cancer-associated fibroblasts, and tumor-infiltrating lymphocytes that produce pro-inflammatory cytokines and chemokines associated with tumor progression (<xref ref-type="bibr" rid="B65">65</xref>). The nuclear factor kappa B (NF-&#x3ba;B) pathway and secreted phosphoprotein 1 (SPP1) have been implicated in penile cancer pathogenesis, while elevated C-reactive protein (CRP) levels and neutrophil-to-lymphocyte ratio (NLR) have been identified as potential prognostic biomarkers, with high NLR (&#x2265;3.0) associated with advanced stage, lymphovascular invasion, and immunosuppressive tumor microenvironment characterized by increased N2 tumor-associated neutrophils and CD8+ T-cell exhaustion (<xref ref-type="bibr" rid="B65">65</xref>, <xref ref-type="bibr" rid="B68">68</xref>).</p>
<p>In a large retrospective study of 152 penile SCC cases, brisk lymphocytic infiltrate was an independent predictor of improved overall survival and cancer-specific survival (HR for non-brisk/absent infiltrate: 2.22; <italic>P</italic> = 0.0023) (<xref ref-type="bibr" rid="B69">69</xref>). Multiplex immunofluorescence studies have revealed progressive T-cell exhaustion with advancing disease stage. An initial immune response in early locoregional disease (N1) with increased CD3+, CD4+, and CD8+ T-cell densities is followed by immune exhaustion in advanced disease (N2-3), marked by declining cytotoxic T-cell density, rising PD-L1 expression, and progressive replacement of anti-tumor M1 macrophages with pro-tumorigenic M2 macrophages (<xref ref-type="bibr" rid="B70">70</xref>). Additional studies demonstrate that PD-L1 expression at the invasive margin is significantly elevated in node-positive disease, TILs exhibit higher PD-1 expression compared to peripheral blood, and immune checkpoint molecules (PD-1, LAG3, TIM3) are co-expressed in high-grade tumors (<xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B71">71</xref>).</p>
<p>Furthermore, spatial analysis demonstrates that close clustering of M2 macrophages with tumor cells is associated with worse OS, recurrence-free survival, and cancer-specific survival, whereas bivariate clustering of CD3+CD4+ helper T cells with tumor cells correlates with improved outcomes, including in node-positive disease (<xref ref-type="bibr" rid="B70">70</xref>). These findings support the biological plausibility of TLS-mediated immune control, where TLS presence may counteract the immunosuppressive mechanisms (including T-cell exhaustion, M2 macrophage predominance, and checkpoint molecule upregulation) that characterize advanced penile cancer, thereby reinforcing the rationale for both TLS assessment as a prognostic biomarker and immune checkpoint inhibitor-based therapeutic strategies in this disease (<xref ref-type="bibr" rid="B72">72</xref>&#x2013;<xref ref-type="bibr" rid="B75">75</xref>).</p>
</sec>
<sec id="s7_2">
<label>7.2</label>
<title>TLS in metastatic penile cancer</title>
<p>In metastatic penile SCC, TLSs have been identified within both inguinal and pelvic lymph nodes (<xref ref-type="bibr" rid="B58">58</xref>). IHC analyses demonstrated that metastatic lymph nodes containing TLSs exhibited higher densities of CD8+ T cells and CD20+ B cells relative to TLS-negative nodes, suggesting that TLS presence also sustain active local immune surveillance in metastatic lesions (<xref ref-type="bibr" rid="B58">58</xref>).</p>
<p>In penile squamous cell carcinoma (SCC), TLSs were observed more frequently in primary tumors from patients who did not have distant metastases, compared to those with metastatic disease (<xref ref-type="bibr" rid="B58">58</xref>). This pattern hints at an inverse relationship between TLS presence and the presence of metastatic lesions; though the concrete reason for this association remains unknown (<xref ref-type="bibr" rid="B58">58</xref>).</p>
<p>Overall, although current data are limited, these findings collectively suggest that TLS evaluation in penile SCC could provide valuable prognostic and therapeutic information for the management of these malignancies.</p>
</sec>
</sec>
<sec id="s8">
<label>8</label>
<title>Emerging artificial intelligence-based technology and future directions</title>
<p>Artificial intelligence (AI)-based computational pathology methods for automated TLS detection on H&amp;E slides represent a practical pathway toward standardization, with deep learning models achieving high Dice coefficients (up to 0.866-0.91) for TLS segmentation and demonstrating strong prognostic value across different cancer types (<xref ref-type="bibr" rid="B76">76</xref>). These AI approaches can be integrated into the clinical workflows through standardized protocols that combine H&amp;E-based automated detection with CD23 IHC validation, enabling reproducible quantification of TLS density, maturation status, and spatial distribution (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>For bladder cancer and RCC specifically, AI-based spatial analysis of TILs on H&amp;E slides has shown significant correlation with immunotherapy outcomes (<xref ref-type="bibr" rid="B77">77</xref>). In a cohort of 56 metastatic urothelial carcinoma (UC) patients treated with immune checkpoint inhibitors, computational features related to spatial architectural patterns of TILs predicted OS with HR of 1.90 (95% CI 0.97-3.73, <italic>p</italic> = 0.036) (<xref ref-type="bibr" rid="B78">78</xref>). The UC-TIL classifier, which quantifies spatial TIL patterns from H&amp;E slides, achieved AUC = 0.757 for predicting immunotherapy response and identified non-responders with 91% specificity in metastatic disease (<xref ref-type="bibr" rid="B77">77</xref>).</p>
<p>In RCC, TLS presence correlated with IgG-producing plasma cells and tumor cell apoptosis, with therapeutic responses to immune checkpoint inhibitors correlating with IgG-stained tumor cells (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B79">79</xref>). B cell signatures and TLSs were the most differentially expressed features between responders and non-responders to immune checkpoint inhibitors in melanoma and RCC cohorts, establishing the biological rationale for AI models to prioritize TLS and B-cell features (<xref ref-type="bibr" rid="B79">79</xref>).</p>
<p>A practical standardization framework for GU cancers should include: (1) Primary screening with automated H&amp;E-based TLS detection using validated deep learning models with defined performance thresholds (<xref ref-type="bibr" rid="B76">76</xref>); (2) Maturation assessment (stages 1, 2, and3) based on architectural features (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B80">80</xref>); (3) Validation protocol such as CD23 IHC on cases with borderline or uncertain maturation status (<xref ref-type="bibr" rid="B9">9</xref>); (4) Standardized quantification metrics for reporting TLS density (per mm&#xb2;), TLS ratio (area percentage), and maturation distribution (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B76">76</xref>); (5) and Quality control. In addition, in order to enhance immunotherapy response prediction in GU cancer especially RCC and bladder cancers, multimodal frameworks should incorporate TLS features alongside established biomarkers, including B-cell markers (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B79">79</xref>), chemokine signatures (<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B82">82</xref>), and spatial TIL patterns (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>Integration of these features with clinical variables (TNM staging) has been shown to significantly enhance discriminative ability for OS prediction in 10 out of 15 TCGA tumor types (<xref ref-type="bibr" rid="B76">76</xref>). For bladder cancer specifically, TLS pattern-based scoring systems that incorporate gene expression signatures of 39 validated TLS signature genes have demonstrated superior prediction of immunotherapy response compared to tumor mutational burden alone (<xref ref-type="bibr" rid="B39">39</xref>).</p>
</sec>
<sec id="s9" sec-type="conclusions">
<label>9</label>
<title>Conclusions</title>
<p>Despite increasing interest in TLSs in the setting of GU malignancies, their functional role remains incompletely understood. The heterogeneity of their role and variable disease-modifying significance across different types of malignancies highlights the need for further research on the topic of TLSs. Standardized criteria for evaluating TLSs in both primary and metastatic lesions are needed to clarify their prognostic and therapeutic relevance. Grossly, the existing evidence links TLS presence to stronger immune activation, better survival, and greater response to systemic therapies, suggesting that integrating TLS-based patient stratification to current practices could enhance prognostic accuracy and guide immunotherapy.</p>
<p>Therapeutic strategies such as chemokine modulation, dendritic cell activation, and lymphotoxin-&#x3b2; receptor targeting may promote TLS formation and function, boosting antitumor immunity. In GU malignancies, TLSs are increasingly recognized not just as biomarkers but as actionable targets, with their presence often correlating with improved outcomes. Advancing our ability to induce and sustain TLSs could support the development of more effective, personalized cancer therapies.</p>
</sec>
</body>
<back>
<sec id="s10" sec-type="author-contributions">
<title>Author contributions</title>
<p>AA: Data curation, Writing &#x2013; original draft, Formal Analysis, Methodology, Investigation. AV: Investigation, Data curation, Formal Analysis, Methodology, Writing &#x2013; original draft. MI: Data curation, Formal Analysis, Methodology, Investigation, Writing &#x2013; original draft. CW: Investigation, Formal Analysis, Methodology, Data curation, Writing &#x2013; original draft. JN: Writing &#x2013; original draft, Investigation, Formal Analysis, Data curation, Methodology. ED: Validation, Software, Project administration, Writing &#x2013; review &amp; editing, Resources, Visualization. HB: Validation, Resources, Visualization, Project administration, Writing &#x2013; review &amp; editing, Software, Supervision. MS: Validation, Conceptualization, Supervision, Resources, Funding acquisition, Writing &#x2013; review &amp; editing, Project administration, Visualization, Software.</p></sec>
<ack>
<title>Acknowledgments</title>
<p><xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref> was created with <ext-link ext-link-type="uri" xlink:href="http://www.BioRender.com">BioRender.com</ext-link> (January 2026). All rights and ownership of BioRender content are reserved by BioRender. BioRender content included in the completed graphic is not licensed for any commercial uses beyond publication in a journal. For any commercial use of this figure, users may, if allowed, recreate it in BioRender under an Industry BioRender Plan.</p>
</ack>
<sec id="s12" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>Author ED was employed by Veracyte, Inc.</p>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The author MS declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p></sec>
<sec id="s13" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s14" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
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<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1207330">Jan Hrudka</ext-link>, Charles University, Czechia</p></fn>
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