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<article-id pub-id-type="doi">10.3389/fimmu.2026.1810064</article-id>
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<subject>Editorial</subject>
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<article-title>Editorial: Immuno-metabolic approaches for the treatment of hepatobiliary and pancreatic tumors</article-title>
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<contrib contrib-type="author">
<name><surname>Han</surname><given-names>Yuanxia</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<name><surname>Yang</surname><given-names>Luyu</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<name><surname>Xu</surname><given-names>Jianwei</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<name><surname>Liu</surname><given-names>Hengrui</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Wei</surname><given-names>Ran</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>State Key Laboratory of Oncology in South China, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat&#x2010;sen University Cancer Center</institution>, <city>Guangzhou</city>, <state>Guangdong</state>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff2"><label>2</label><institution>Hepatobiliary Surgery, Department of General Surgery, Huashan Hospital, Fudan University</institution>, <city>Shanghai</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Surgery, Qilu Hospital, Shandong University</institution>, <city>Jinan</city>,&#xa0;<country country="cn">China</country></aff>
<aff id="aff4"><label>4</label><institution>Department of Biochemistry, University of Cambridge</institution>, <city>Cambridge</city>,&#xa0;<country country="gb">United Kingdom</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Ran Wei, <email xlink:href="mailto:weiran@sysucc.org.cn">weiran@sysucc.org.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-23">
<day>23</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1810064</elocation-id>
<history>
<date date-type="received">
<day>12</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Han, Yang, Xu, Liu and Wei.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Han, Yang, Xu, Liu and Wei</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-23">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>combination therapy</kwd>
<kwd>hepatobiliary tumors</kwd>
<kwd>immuno-metabolic approach</kwd>
<kwd>pancreatic cancer</kwd>
<kwd>tumor microenvironment (TME)</kwd>
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<meta-value>Cancer Immunity and Immunotherapy</meta-value>
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<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/69830">Immuno-metabolic approaches for the treatment of hepatobiliary and pancreatic tumors</ext-link>
</p>
</notes>
</front>
<body>
<p>The field of hepatobiliary and pancreatic tumor therapy has witnessed significant advancements in recent years, particularly with the integration of immuno-metabolic approaches. This Research Topic, titled <italic>&#x201c;Immuno-metabolic Approaches for the Treatment of Hepatobiliary and Pancreatic Tumors,&#x201d;</italic> has garnered substantial attention, featuring a Research Topic of insightful studies that delve into the intricate interplay between immune responses and metabolic pathways in these challenging malignancies.</p>
<sec id="s1">
<title>Immuno-metabolic dynamics in pancreatic tumors</title>
<p>The work by <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2025.1717062">Hui et&#xa0;al.</ext-link> provides a comprehensive overview of the immunosuppressive tumor microenvironment (TME) in pancreatic ductal adenocarcinoma (PDAC). Their study elucidates how dense extracellular matrix, cancer-associated fibroblasts (CAFs), and myeloid-derived suppressor cells (MDSCs) contribute to immune evasion. By focusing on the metabolic reprogramming of PDAC, they highlight potential strategies to overcome immunotherapy resistance, emphasizing the importance of targeting both immune and metabolic checkpoints. Similarly, <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2025.1688440">Qin et&#xa0;al.</ext-link> have developed a nomogram that integrates immune checkpoints, fibrosis indicators, and clinicopathological characteristics to predict overall survival in pancreatic cancer. This study underscores the significance of considering both immune and metabolic factors in prognostic assessments, offering clinicians a valuable tool for personalized treatment planning. These studies collectively underscore the complexity of the PDAC TME and the need for multifaceted therapeutic interventions. By elucidating the interplay between immune evasion and metabolic reprogramming, they pave the way for innovative combination therapies that can overcome current treatment limitations. Recent research continues to explore the potential of targeting the TME to improve immunotherapy outcomes. For instance, strategies aimed at disrupting the metabolic symbiosis between tumor cells and stromal components or reprogramming immunosuppressive cells are gaining traction (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). As the field progresses, integrating immune-metabolic approaches into clinical practice holds great promise for enhancing the survival and quality of life of PDAC patients.</p>
</sec>
<sec id="s2">
<title>Hepatocellular carcinoma: bridging immunity and metabolism</title>
<p>In hepatocellular carcinoma (HCC), the interplay between immunity and metabolism is equally critical. The study by <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2026.1735189">Lian et&#xa0;al.</ext-link> explores the role of neutrophils in the HCC microenvironment, revealing their dual role in promoting and suppressing tumor immunity. Neutrophils, through the release of reactive oxygen species and various cytokines, can both facilitate tumor progression and enhance anti-tumor immune responses. This duality highlights the complexity of the HCC TME and the need for targeted interventions that can harness the anti-tumor potential of neutrophils while mitigating their pro-tumor effects. Moreover, <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2025.1619387">Xing et&#xa0;al.</ext-link> have identified serum GDF15 levels as a predictive biomarker for clinical outcomes in patients with unresectable HCC treated with hepatic arterial infusion chemotherapy (HAIC). Their findings suggest that GDF15, a metabolic regulator, plays a crucial role in modulating immune responses and could serve as a therapeutic target to enhance the efficacy of HAIC.</p>
</sec>
<sec id="s3">
<title>Combination therapies and prognostic models</title>
<p>The efficacy of combination therapies is another focal point of this Research Topic. The systematic review by <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fonc.2025.1707622">Ye et&#xa0;al.</ext-link> demonstrates that the combination of transarterial chemoembolization (TACE), tyrosine kinase inhibitors (TKIs), and immune checkpoint inhibitors (ICIs) significantly improves outcomes in patients with unresectable HCC. Similarly, <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2025.1602031">Cao et&#xa0;al.</ext-link> showed that HAIC plus PD-1 inhibitors and TKIs prolonged survival in HCC with PVTT, particularly in younger patients. Furthermore, the work by <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2025.1643082">Luo et&#xa0;al.</ext-link> and their colleagues comprehensively evaluated the efficacy of combining HAIC with molecular targeted therapies and PD-(L)1 inhibitors (HAIT-M-P) versus HAIC alone in patients with locally aggressive early recurrent hepatocellular carcinoma (erHCC), suggesting HAIT-M-P as a superior treatment strategy for enhancing outcomes in erHCC. Their findings support the use of such combinations in clinical practice, emphasizing the need for further research to refine patient selection and treatment protocols.</p>
</sec>
<sec id="s4">
<title>Future directions and challenges</title>
<p>Looking ahead, the integration of immuno - metabolic approaches in hepatobiliary and pancreatic tumor therapy stands as a beacon of hope, brimming with immense potential. The intricate relationship between the immune system and metabolic processes within the tumor microenvironment (TME) has been increasingly recognized as a key determinant of tumor progression and treatment response (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>However, numerous challenges loom on the horizon. Identifying reliable biomarkers for treatment response remains an arduous task. These biomarkers are crucial for early prediction of therapy efficacy, enabling timely adjustments to treatment plans (<xref ref-type="bibr" rid="B4">4</xref>). The development of effective combination therapies is another significant hurdle. While current studies have shown promise in combining different treatment modalities, optimizing the sequence and dosage of these combinations to maximize efficacy and minimize side effects is still a work in progress. Moreover, optimizing patient selection criteria is essential to ensure that the right patients receive the most appropriate treatments. Future research should prioritize elucidating the underlying mechanisms of immune - metabolic interactions. By understanding how metabolic changes influence immune cell function and vice versa, we can identify novel therapeutic targets. Well - designed clinical trials are then imperative to validate the efficacy of these new approaches.</p>
<p>In conclusion, the studies in this Research Topic offer invaluable insights into the complex interplay between immunity and metabolism in hepatobiliary and pancreatic tumors. As experts in the field, we must harness these insights to develop more effective and personalized treatment strategies, ultimately improving patient outcomes and driving the progress of oncology. The integration of immuno - metabolic approaches will undoubtedly be a cornerstone in the future of cancer therapy.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="author-contributions">
<title>Author contributions</title>
<p>YH: Conceptualization, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. LY: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. JX: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. HL: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. RW: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s6" sec-type="COI-statement">
<title>Conflict of interest</title>
<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></sec>
<sec id="s7" 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="s8" 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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