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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Endocrinol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Endocrinology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Endocrinol.</abbrev-journal-title>
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<issn pub-type="epub">1664-2392</issn>
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<publisher-name>Frontiers Media S.A.</publisher-name>
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<article-meta>
<article-id pub-id-type="doi">10.3389/fendo.2026.1809287</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>
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<title-group>
<article-title>Editorial: Endocrine dysfunctions and immunometabolic pathways in autoimmune-related cancers</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Zhang</surname><given-names>Tao</given-names></name>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/795563/overview"/>
<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="Writing &#x2013; review &amp; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &amp; editing</role>
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<aff id="aff1"><institution>Cancer Center, West China Hospital, Sichuan University</institution>, <city>Chengdu</city>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Tao Zhang, <email xlink:href="mailto:zhangtao666@scu.edu.cn">zhangtao666@scu.edu.cn</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-27">
<day>27</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>1809287</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>12</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Zhang.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Zhang</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-27">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>autoimmune</kwd>
<kwd>cancer</kwd>
<kwd>endocrine</kwd>
<kwd>immunotherapy</kwd>
<kwd>metabolism</kwd>
</kwd-group>
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<ref-count count="9"/>
<page-count count="3"/>
<word-count count="821"/>
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<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Cancer Endocrinology</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/67210">Endocrine dysfunctions and immunometabolic pathways in autoimmune-related cancers</ext-link>
</p>
</notes>
</front>
<body>
<p>The pathogenesis of cancer is increasingly viewed as a process driven by both systemic and local microenvironmental disturbances (<xref ref-type="bibr" rid="B1">1</xref>). The interplay between endocrine homeostasis, immune surveillance, and cellular metabolism forms a core regulatory network in this process (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). Specifically, endocrine disorders characterized by dysregulated hormone signaling and autoimmune conditions marked by chronic immune activation can synergistically remodel the tumor microenvironment through shared immunometabolic pathways, thereby influencing cancer susceptibility, progression, and therapeutic response (<xref ref-type="bibr" rid="B4">4</xref>&#x2013;<xref ref-type="bibr" rid="B6">6</xref>). This Research Topic, &#x201c;Endocrine Dysfunctions and Immunometabolic Pathways in Autoimmune-Related Cancers,&#x201d; aims to systematically dissect this complex network of interactions. It brings together six studies spanning clinical observations, mechanistic explorations, and therapeutic assessments. Collectively, these works elucidate how endocrine-immune crosstalk shapes specific cancer phenotypes&#x2014;from risk definition and rare clinical presentations to the management of treatment-related complications&#x2014;while revealing novel metabolic targets embedded within this network.</p>
<p>First, the study by <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fendo.2025.1625989">Sun et&#xa0;al.</ext-link> investigates the rare clinical co-occurrence of medullary and papillary thyroid carcinoma. Their comparative analysis indicates that patients with both tumor types exhibit disease invasiveness and prognosis similar to those with medullary thyroid carcinoma alone. This finding suggests potentially independent oncogenic drivers. However, it also raises a profound question: Could a permissive local niche, shaped by common endocrine or immune factors, provide the foundation for the development of both tumors within the same gland? This question connects the case study to broader theories of the tumor microenvironment.</p>
<p>The review by <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fendo.2025.1606847">Wang et&#xa0;al.</ext-link> systematically elaborates on the multifaceted functions of adipose-derived mesenchymal stem cells (ADSCs), positioning them as central metabolic and immunomodulatory integrators within the tumor microenvironment. This review clarifies that ADSCs can translate systemic endocrine and metabolic signals into highly context-dependent pro- or anti-tumor effects. This work highlights the plasticity of stromal cells as a critical bridge connecting systemic metabolic disorders to local tumor progression, clearly exemplifying the central role of the immunometabolic axis in cancer advancement.</p>
<p>The work by <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fendo.2025.1588529">Xu et&#xa0;al.</ext-link> employs a bioinformatics approach to establish the prognostic significance of bile acid metabolism (BAM) in hepatocellular carcinoma (HCC), identifying <italic>NPC1</italic> as a key biomarker and oncogenic driver. This study directly links this core hepatic metabolic pathway to tumor aggressive behavior, providing not only correlative evidence but also proposing a potential metabolic axis for risk stratification and intervention.</p>
<p>The pharmacovigilance assessment by <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fendo.2025.1582715">Brown et&#xa0;al.</ext-link> rigorously analyzes lymphoma risk in patients with lipodystrophy, a severe metabolic disorder involving leptin deficiency. By reporting cases in both drug-treated and treatment-na&#xef;ve patients, this analysis crucially indicates that the inherent metabolic and immune dysregulation of the disease itself constitutes a significant carcinogenic risk factor. This distinction is fundamental for the precise risk-benefit assessment of therapeutic strategies in rare diseases.</p>
<p>The detailed case report by <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fimmu.2025.1548452">Zhao et&#xa0;al.</ext-link> describes a case of severe thyroiditis induced by sintilimab. This report vividly embodies the direct clinical collision between oncology and endocrinology, where potent anti-cancer immunotherapy can trigger severe autoimmune-like endocrine toxicity. It underscores the shared immunological basis for both tumor eradication and endocrine tissue damage, emphasizing the necessity of adhering to relevant clinical guidelines for vigilant monitoring and early management.</p>
<p>Finally, the study by <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fendo.2025.1534393">Shen et&#xa0;al.</ext-link> explores the role of fatty acid metabolism (FAM) in papillary thyroid cancer (PTC), constructing a prognostic signature centered on <italic>SCD</italic>. Their work demonstrates that intrinsic metabolic reprogramming in tumor cells not only directly drives proliferation and invasion but also shapes an immunosuppressive microenvironment. This links metabolic dysregulation to both the tumor biology of PTC and its mechanisms of immune evasion.</p>
<p>In summary, the research in this Topic presents a multidimensional understanding of the endocrine-immune-cancer axis. Several common themes emerge: the prognostic and therapeutic relevance of specific metabolic pathways; the dual nature of immune modulation in controlling cancer versus inducing endocrine pathology; and the critical importance of distinguishing disease-inherent risk from treatment-associated effects in clinical evaluation. Furthermore, the diversity of contexts involved&#x2014;from common thyroid and liver cancers to rare lipodystrophy and immunotherapy toxicity&#x2014;demonstrates the broad relevance of these interactive mechanisms, advocating for an integrated research paradigm that transcends traditional disciplinary boundaries (<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>These findings collectively point to several key directions for future research: First, targeting metabolic nodes such as SCD or NPC1 to disrupt tumor growth and remodel the immune microenvironment. Second, developing predictive biomarkers that combine metabolic and immune features for cancer risk stratification in populations with autoimmune/endocrine disorders and for predicting immunotherapy toxicity. Third, designing mechanism-based combination strategies, such as integrating metabolic modulators with immunotherapy. Fourth, implementing personalized monitoring and management plans for patients at this complex intersection.</p>
<p>In conclusion, the contributions to this Research Topic mark significant progress in deciphering the intricate links between endocrine health, immune function, and cancer metabolism. By integrating clinical insights with molecular mechanisms, they collectively advance the framework for more precise prevention, prognostication, and treatment strategies for autoimmune-related and endocrine-influenced cancers.</p>
</body>
<back>
<sec id="s1" sec-type="author-contributions">
<title>Author contributions</title>
<p>TZ: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s2" 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="s3" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was used in the creation of this manuscript. In the preparation of this Editorial, artificial intelligence (AI) tools &#x2014; DeepSeek (DeepSeek-R1, developed by DeepSeek) &#x2014; were employed exclusively for language polishing and grammatical refinement. The core scientific content, including the synthesis of the Research Topic contributions, the formulation of arguments and future directions, and the selection and verification of all references, was entirely conceived, written, and critically revised by the Topic Editors. No AI tools were used to generate or manipulate data, create false or non-existent information, plagiarize, or replace the authors' intellectual contributions. The authors assume full responsibility for the accuracy and originality of this work.</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="s4" 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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