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<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>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2025.1737055</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Editorial</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Editorial: Current trends and future prospects in the use of immunotherapy in ovarian cancer</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Gavalas</surname><given-names>Nikos G.</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="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2592221/overview"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="methodology" vocab-term-identifier="https://credit.niso.org/contributor-roles/methodology/">Methodology</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="investigation" vocab-term-identifier="https://credit.niso.org/contributor-roles/investigation/">Investigation</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project-administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
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<aff id="aff1"><label>1</label><institution>2nd Propaedeutic Department of Medicine, Medical School, National and Kapodistrian University of Athens- ATTIKON University Hospital</institution>, <city>Athens</city>, <country country="gr">Greece</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Clinical Therapeutics, Medical School, National and Kapodistrian University of Athens- Alexandra Hospital</institution>, <city>Athens</city>, <country country="gr">Greece</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Nikos G. Gavalas, <email xlink:href="mailto:ngavalas@med.uoa.gr">ngavalas@med.uoa.gr</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-11-18">
<day>18</day>
<month>11</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1737055</elocation-id>
<history>
<date date-type="received">
<day>31</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>11</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Gavalas.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Gavalas</copyright-holder>
<license>
<ali:license_ref start_date="2025-11-18">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>
<kwd-group>
<kwd>ovarian</kwd>
<kwd>cancer</kwd>
<kwd>immunotherapy</kwd>
<kwd>biomarkers</kwd>
<kwd>single cell</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="8"/>
<page-count count="3"/>
<word-count count="997"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Gynecological Oncology</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
<notes notes-type="frontiers-research-topic">
<p>Editorial on the Research Topic <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/research-topics/61149">Current trends and future prospects in the use of immunotherapy in ovarian cancer</ext-link>
</p>
</notes>
</front>
<body>
<sec id="s1">
<title>Landscape and demand for immunotherapy in ovarian cancer</title>
<p>Ovarian cancer is the most prevalent cause of gynecological cancer in terms of mortality due to a number of factors, i.e., late-stage diagnosis, frequent relapse, and resistance to current treatment regimens, such as chemotherapy. Standard treatments, including surgical cytoreduction and platinum-based chemotherapy, tend to yield high initial response rates; however, the majority of advanced-stage patients experience disease recurrence, highlighting the urgent need for alternative therapies. In addition to other therapeutic modalities, immunotherapy has emerged as an innovative approach with the promising potential to improve outcomes by leveraging the immune system&#x2019;s natural ability to recognize and attack tumor cells.</p>
<p>In recent years, the number of publications on ovarian cancer immunotherapy has been steadily increasing. At the same time, bibliometric analyses confirm the rapid expansion of this research field since 2019, as the discipline transitions from foundational trials to precision medicine and combination strategies.</p>
</sec>
<sec id="s2">
<title>Tumor microenvironment and immune suppression</title>
<p>Key obstacles to the efficacy of immunotherapy in ovarian cancer include tumor heterogeneity combined with an immunosuppressive microenvironment. Ovarian tumors, in the majority of cases, are infiltrated by immune cells, including CD3+ and CD8+ T cells and macrophages. These populations are often functionally suppressed or reprogrammed by the tumor. Also, the upregulation of immune checkpoint molecules such as PD-1 and PD-L1, along with TGF-&#x3b2; and CTLA-4, impedes cytotoxic lymphocyte activity, enabling tumor evasion from immune surveillance (<xref ref-type="bibr" rid="B1">1</xref>).</p>
<p>Several studies have employed cutting-edge methods, such as single-cell sequencing, to profile the ovarian tumor immune microenvironment in detail (<xref ref-type="bibr" rid="B2">2</xref>). This approach sheds light on tumor cell subpopulations, immune cell phenotypes, and gene expression signatures that dictate immunologic dysfunction and therapy resistance. In this Research Topic, <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fonc.2025.1535504">Zhao et&#xa0;al.</ext-link> report that succinic acid can reshape immune cell infiltration and function by targeting the hub genes SPP1, SLPI, and CD9, which could potentially disrupt tumor defenses.</p>
</sec>
<sec id="s3">
<title>Advances in immunotherapeutic modalities</title>
<p>Immunotherapeutic strategies for ovarian cancer currently encompass targets such as checkpoint inhibitors (e.g., PD-1/PD-L1 antagonists), cell-based approaches (e.g., CAR-T and adoptive T cell transfer), and monoclonal antibodies. While immune checkpoint inhibitors have revolutionized the treatment of other malignancies, their clinical value in ovarian cancer is tempered by the low tumor mutational burden and limited immunogenicity; hence ovarian cancer is termed a &#x201c;cold tumor&#x201d; (<xref ref-type="bibr" rid="B3">3</xref>). Objective response rates remain modest, though subsets of patients with high PD-L1 expression may benefit more consistently (<xref ref-type="bibr" rid="B4">4</xref>). However, PD-L1 status is not a fully reliable predictor, as both PD-L1-positive and PD-L1-negative patients may respond to therapy, underscoring the complexity of the immune landscape.</p>
<p>Recent literature has explored alternative checkpoints (such as TIGIT, CD155, and DNAM-1) in combination therapies. These aim to enhance cytotoxic T cell and natural killer cell activity, increase tumor antigen presentation, and overcome suppression within the tumor microenvironment (<xref ref-type="bibr" rid="B1">1</xref>). <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fonc.2025.1535235">Wang et&#xa0;al.</ext-link>, in this Research Topic, along with other published literature, refer to multimodal approaches that include checkpoint inhibitors, targeted agents (e.g., PARP inhibitors), and antiangiogenic drugs (e.g., bevacizumab): all are under investigation to extend immunotherapeutic benefits.</p>
</sec>
<sec id="s4">
<title>Platinum resistance mechanisms</title>
<p>Chemotherapy resistance stemming from platinum compound treatments remains a profound clinical challenge (<xref ref-type="bibr" rid="B5">5</xref>). Resistance mechanisms include altered cell death pathways, such as autophagy and immunosuppression orchestrated by COX-2 and tumor-associated macrophages (TAMs). Promising results have been generated by targeting the above; for example, TAM reactivity modulation may restore antitumor immunity and improve treatment outcomes, with a possible significant impact on patients with platinum-resistant disease.</p>
</sec>
<sec id="s5">
<title>Biomarker discovery, patient stratification, and single-cell profiling</title>
<p>The discovery of robust predictive biomarkers is pivotal to optimizing immunotherapy. Several studies have focused on signatures of immune infiltration, tumor mutation burden, and molecular markers as tools for stratifying patients and customizing therapies. In previous articles (<xref ref-type="bibr" rid="B6">6</xref>) but also in this Research Topic, <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2024.1489235">Gronauer et&#xa0;al.</ext-link> perform single-cell RNA sequencing, allowing for deep profiling of tumor heterogeneity, revealing population-specific tumor vulnerabilities and new therapeutic targets, and highlighting the necessity for precision medicine applications in this disease.</p>
</sec>
<sec id="s6">
<title>Clinical trials and outcome data</title>
<p>Recent clinical trials validated targeted immunotherapy approaches, but they also underscored variable efficacy. While the administration of pembrolizumab, which is an anti-PD-1 agent, has demonstrated activity in some patients with high PD-L1 expression, overall survival improvements remain limited for the affected population as a whole. The presence of adverse events, including immune-related toxicities and autoimmune responses, should impose diligent risk management to preserve the quality of life of patients.</p>
<p>Targeted sequencing (<xref ref-type="bibr" rid="B7">7</xref>) and drug treatment combinations (<xref ref-type="bibr" rid="B1">1</xref>)&#x2014; such as immune checkpoint inhibitors plus chemotherapy, targeted drugs, or alternative checkpoint blockades&#x2014;represent major foci of contemporary research, and they aim to refine therapeutic windows and provide new ones, maximize efficacy, and reduce toxicity.</p>
</sec>
<sec id="s7">
<title>Research trends, hotspots, and collaborative dynamics</title>
<p>Research trends in ovarian cancer show that research priorities have shifted from initial trials and monoclonal antibody development to topics such as CAR-T cell therapy and tumor microenvironment modulation. Influential research propels the field, guided by emerging insights from genomic databases and landmark trials focused on neoadjuvant and combination strategies (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Challenges for the future include treatment-induced toxicity and the slow clinical translation of genetic discoveries in order to improve survival rates.</p>
</sec>
<sec id="s8">
<title>Future directions and opportunities</title>
<p>This editorial aims to highlight the seven contributions to this Research Topic that attempt to contribute to a rapidly maturing field committed to overcoming the limitations of immunotherapy in ovarian cancer. Further pathways to advance research include:</p>
<list list-type="bullet">
<list-item>
<p>Multidimensional tumor profiling via single-cell technologies and advanced bioinformatics, thus enabling tailored immunotherapeutic interventions.</p></list-item>
<list-item>
<p>Continued exploration of combination therapies targeting immune checkpoints, with an emphasis on restoring immune cell function in resistant, immunosuppressing tumors.</p></list-item>
<list-item>
<p>Enhanced biomarker identification and characterization, either as single molecules or combinations (signatures) to facilitate stratified clinical trial designs and personalized treatment algorithms.</p></list-item>
</list>
<p>Further coordinated efforts integrating basic science, translational research, and clinical expertise will accelerate innovation and broaden therapeutic accessibility.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="author-contributions">
<title>Author contributions</title>
<p>NG: Supervision, Methodology, Writing &#x2013; review &amp; editing, Investigation, Conceptualization, Resources, Writing &#x2013; original draft, Project administration.</p></sec>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author declares 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="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was 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="s12" 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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