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  <front>
    <journal-meta>
      <journal-id journal-id-type="nlm-ta">International Open Medical Journal</journal-id>
      <journal-id journal-id-type="publisher-id"/>
      <journal-title-group>
        <journal-title>International Open Medical Journal</journal-title>
      </journal-title-group>
      <issn pub-type="epub">3069-0080</issn>
      <publisher>
        <publisher-name>International Medical Association</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.65364/iomj.2026.11</article-id>
      <article-id pub-id-type="publisher-id">IOMJ-2026-11</article-id>
      <article-categories>
        <subj-group>
          <subject>Review</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>The gut-neuro-tumor signaling feedback driving dynamic remodeling of the tumor microenvironment: a review</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Chen</surname>
            <given-names>Yang</given-names>
          </name>
        </contrib>
        <contrib contrib-type="author" corresp="yes">
          <name>
            <surname>Wang</surname>
            <given-names>Xuejuan</given-names>
          </name>
          <xref ref-type="corresp" rid="cor1">*</xref>
        </contrib>
      </contrib-group>
      <aff id="I1000">National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.</aff>
      <author-notes>
        <corresp id="cor1">Correspondence to: Dr. Xuejuan Wang, National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. E-mail: <email>xuejuan_wang@hotmail.com</email></corresp>
        <fn fn-type="other">
          <p><bold>Received:</bold> 9 Jun 2026 | <bold>Accepted:</bold> 23 Jul 2026 | <bold>Published:</bold> 31 Aug 2026</p>
        </fn>
      </author-notes>
      <pub-date pub-type="ppub">
        <year>2026</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>31</day>
        <month>8</month>
        <year>2026</year>
      </pub-date>
      <volume>1</volume>
	  <fpage>191</fpage>
	  <lpage>226</lpage>
      <permissions>
        <copyright-statement>© The Author(s) 2026.</copyright-statement>
        <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
          <license-p>© The Author(s) 2026.<bold>Open Access</bold>This article is licensed under a Creative Commons Attribution 4.0 International License (<uri xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</uri>), which permits unrestricted use, sharing, adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.</license-p>
        </license>
      </permissions>
      <abstract>
        <p>Historically, research on the tumor microenvironment (TME) has focused primarily on local cellular interactions. Evidence now indicates that the gut microbiota and nervous system can each influence tumor biology and can interact bidirectionally with host immune and metabolic pathways. The gut microbiota generates neuroactive products, including short-chain fatty acids (SCFAs) and tryptophan metabolites, and individual studies support microbiota-to-neural signaling, neural regulation of tumor or immune-cell behavior, and tumor-associated changes in neural and intestinal homeostasis. On the basis of these convergent but largely compartmentalized observations, we propose a gut-neuro-tumor signaling feedback framework in which the nervous system may, in selected contexts, integrate or redistribute microbiota-derived signals toward the tumor microenvironment (TME). The complete hierarchical sequence has not been demonstrated within a single experimental system, and microbiota-derived factors may also affect tumors through neural-independent circulatory or immune routes. Tumors may contribute to feedback through local neural remodeling and systemic stress responses, whereas translocated gut microorganisms can directly affect selected tumors. This review evaluates the evidence supporting each component, distinguishes experimentally supported interactions from integrative hypotheses, and outlines strategies required to test the proposed framework. Its therapeutic implications should currently be regarded as investigational and context dependent rather than as those of an established druggable circuit.</p>
      </abstract>
      <kwd-group>
        <kwd>Gut-brain axis</kwd>
        <kwd>intratumoral microbes</kwd>
        <kwd>gut microbes</kwd>
        <kwd>nervous system</kwd>
        <kwd>tumor microenvironment</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>INTRODUCTION</title>
      <p>Cancer progression is no longer viewed as a tumor cell-intrinsic process but rather as an emergent property of a highly dynamic and multi-layered TME, in which immune, stromal, metabolic, and microbial components interact across spatial and temporal scales<sup>[<xref ref-type="bibr" rid="B1">1</xref>-<xref ref-type="bibr" rid="B4">4</xref>]</sup>. While early paradigms emphasized local cellular crosstalk within the TME, accumulating evidence has expanded this view toward a system-level regulatory network, wherein distal organs and physiological systems actively participate in shaping tumor behavior. Among these, two regulatory axes have attracted increasing attention, the gut microbiota and the nervous system. The gut microbiome has been established as a critical modulator of tumorigenesis and therapeutic response through its capacity to generate bioactive metabolites, regulate systemic immunity, and influence host metabolism<sup>[<xref ref-type="bibr" rid="B5">5</xref>-<xref ref-type="bibr" rid="B7">7</xref>]</sup>. In parallel, the nervous system has emerged as a functional component of the TME, capable of directly promoting tumor growth, invasion, and immune evasion via neurotransmitters, neurotrophic factors, and electrophysiological signaling<sup>[<xref ref-type="bibr" rid="B8">8</xref>-<xref ref-type="bibr" rid="B11">11</xref>]</sup>. These advances have given rise to the rapidly evolving fields of tumor microbiomics and cancer neuroscience. However, despite substantial progress, current researches and most existing reviews largely conceptualize these systems as parallel or loosely coupled regulators of tumor biology. This fragmented perspective overlooks the fundamental question of how microbiota-derived signals are hierarchically integrated, spatially coordinated, and dynamically propagated to influence tumor progression at the systems level. In particular, the mechanistic role of the nervous system as an intermediary that translates microbial cues into structured tumor-regulatory programs remains insufficiently defined. Moreover, emerging data suggest that tumors are not passive recipients of systemic inputs. Instead, they actively remodel neural architecture, perturb gut homeostasis, and induce systemic feedback responses, thereby establishing a bidirectional and potentially self-reinforcing regulatory loop<sup>[<xref ref-type="bibr" rid="B12">12</xref>-<xref ref-type="bibr" rid="B15">15</xref>]</sup>. This raises critical unresolved issues, including whether neural activity acts as a driver or consequence of tumor progression, how context-dependent effects of neurotransmitters and microbial metabolites arise, and why targeting individual pathways often yields limited therapeutic efficacy. The proposed framework is conceptually distinct from, but complementary to, several established models. The gut-brain axis primarily describes bidirectional communication between the intestinal ecosystem and the nervous system, usually without incorporating the tumor as an active regulatory node. The gut-tumor axis focuses on direct microbial, metabolic, and immune effects on tumor biology but generally does not define the nervous system as an intermediary that processes and spatially coordinates microbiota-derived signals. Cancer neuroscience examines reciprocal interactions between neural elements and tumor cells, whereas microbiota-derived inputs and tumor-induced disruption of intestinal homeostasis are not usually central components. Similarly, neuroimmune-tumor models emphasize neural regulation of immune cells within the TME but do not generally close the feedback loop through the gut microbiota.</p>
      <p>As illustrated in <xref ref-type="fig" rid="fig1">Figure 1</xref>, the novelty of the proposed gut-neuro-tumor signaling feedback lies not in claiming that its individual pathways are newly discovered, but in organizing separately supported interactions into a testable closed-loop architecture. In this working model, the gut microbiota is considered a source of metabolic and immunological inputs, the nervous system is hypothesized to sense, filter, integrate, or redistribute a subset of these inputs, and the TME represents a context-dependent response compartment. Tumors are further proposed to provide feedback by remodeling neural structures, activating neuroendocrine stress pathways, and perturbing intestinal or microbial homeostasis. These assignments are conceptual and should not be interpreted as universally established functions. Direct evidence currently supports several component interactions, including microbiota-dependent modulation of neural activity, neural regulation of tumor or immune-cell behavior, and tumor-associated changes in neural or intestinal physiology. By contrast, direct evidence for the complete sequence of microbiota-derived input, neural integration or amplification, TME remodeling, and tumor-driven feedback within the same experimental system is lacking. Moreover, microbial metabolites and immune mediators can reach tumors without obligatory neural processing. Accordingly, the proposed integrator and amplifier functions of the nervous system are treated throughout this review as testable hypotheses derived from convergent evidence. We therefore distinguish directly demonstrated mechanisms, indirect evidence for neural mediation, and predictions that require causal validation.</p>
      <fig id="fig1" position="float">
        <label>Figure 1</label>
        <caption>
          <p>Schematic diagram of the mechanisms by which the gut-neuro-tumor signaling feedback functions in the integration of multiple. FMT: faecal microbiota transplantation; CNS: central nervous system; SNS: sympathetic nervous system; PSNS: parasympathetic nervous system; SCFA: short-chain fatty acid; 5-HT: 5-hydroxytryptamine; ENS: enteric nervous system; NGS: neuron-to-glioma synapses; NMDAR: N-methyl-D-aspartate receptor; ADAM10: a disintegrin and metalloproteinase domain-containing protein 10; NLGN3: neuroligin-3; TNF-α: tumor necrosis factor-α; TILs: tumor-infiltrating lymphocytes; ERK: extracellular signal-regulated kinase; PI3K-mTOR: phosphoinositide 3-kinase-mechanistic target of rapamycin signaling pathway; PNI: perineural invasion; IL-6: interleukin-6; IL-18: interleukin-18; α-AChR: α-acetylcholine receptor.</p>
        </caption>
        <graphic xlink:href="iomj1011.fig.1.jpg"/>
      </fig>
    </sec>
    <sec id="sec2">
      <title>GUT-BRAIN AXIS</title>
      <p>Within the gut-neuro-tumor signaling feedback, the gut microbiota represents a major source of diverse biochemical and immunological signals. However, these signals do not necessarily act directly on tumors. Instead, they may first be sensed, integrated, and contextually processed by the nervous system, which subsequently determines how microbiota-derived cues are propagated throughout the host. As illustrated in <xref ref-type="fig" rid="fig2">Figure 2</xref>, bidirectional communication between the gut and the brain is primarily mediated through three interconnected routes: neural, immune, and neuroendocrine pathways. These pathways collectively transmit microbial, metabolic, inflammatory, and hormonal signals between the gastrointestinal tract and the central nervous system, thereby contributing to both physiological homeostasis and disease progression.</p>
      <fig id="fig2" position="float">
        <label>Figure 2</label>
        <caption>
          <p>Schematic diagram of the mechanisms by which the gut-brain axis functions in the integration of multiple microbiota, neural and immune pathways. This figure illustrates the bidirectional communication network between the gut microbiota and the CNS mediated through neural, immune, and endocrine pathways. CNS: central nervous system; HPA: hypothalamic-pituitary-adrenal axis; VN: vagus nerve; ENS: enteric nervous system; IL-18: interleukin-18; ACTH: adrenocorticotropic hormone; CORT: cortisol; 5-HT: 5-hydroxytryptamine.</p>
        </caption>
        <graphic xlink:href="iomj1011.fig.2.jpg"/>
      </fig>
      <sec id="sec2-1">
        <title>Regulation of the gut microbiota</title>
        <p>The gut-brain axis is a complex communication between the microbiota and neural circuits throughout the brain. This network contributes to the regulation of behavior and brain function, and is involved in the genesis and progression of various central nervous system (CNS) disorders. The commensal bacteria function by their metabolites, consisting of indoles, γ-aminobutyric acid (GABA), serotonin (5-HT), and SCFA. As <xref ref-type="fig" rid="fig3">Figure 3</xref> indicates, these play a crucial role in regulating neuronal function, neurotransmitter synthesis, and in the development and progression of diseases.</p>
        <fig id="fig3" position="float">
          <label>Figure 3</label>
          <caption>
            <p>A schematic diagram illustrating the interactions of circulating microbial metabolites and their neuropathological effects within the gut-brain axis. This diagram summarizes the key mechanisms by which small molecules and toxic factors from gut microbiota enter the CNS via systemic circulation and modulate brain function and disease pathogenesis. SCFA: short-chain fatty acid; PD: Parkinson’s disease; AD: Alzheimer’s disease; TMAO: trimethylamine N-oxide; mTOR: mechanistic target of rapamycin; PERK: protein kinase R-like endoplasmic reticulum kinase; TLR4: Toll-like receptor 4; LPS: lipopolysaccharide; HMGB1: high-mobility group box 1; ETX: epsilon toxin; GABA: γ-aminobutyric acid; CNS: central nervous system.</p>
          </caption>
          <graphic xlink:href="iomj1011.fig.3.jpg"/>
        </fig>
        <sec id="sec2-1-1">
          <title>Neural pathway</title>
          <p>Vagus nerve<break/>As the primary component of the parasympathetic nervous system, the vagus nerve (VN) constitutes the fastest and most direct anatomical pathway between the gut and the brain. However, vagal nerve endings typically do not physically contact gut microbiota. Instead, they rely on enteroendocrine cells (EECs) and the enteric nervous system (ENS) as signal sensors to mediate indirect gut-brain communication<sup>[<xref ref-type="bibr" rid="B16">16</xref>]</sup>. More groundbreaking is the discovery that specific EECs can form functional synaptic structures called neuropods with neurons in the vagal nodose ganglion, utilizing neurotransmitters like glutamate to enable millisecond level rapid signal transmission to the brain<sup>[<xref ref-type="bibr" rid="B17">17</xref>]</sup>. Notably, tryptophan catabolites produced by gut microbiota can not only activate TRPA1 channels on EECs to trigger rapid vagal firing but also, when produced in excess, directly stimulate vagal afferent fibers and induce persistent anxiety-like behaviors<sup>[<xref ref-type="bibr" rid="B18">18</xref>]</sup>. Concurrently, the modulatory effects of probiotic strains on the CNS are highly dependent on the anatomical integrity of the VN<sup>[<xref ref-type="bibr" rid="B19">19</xref>]</sup>. Conversely, colonization by pathogenic bacteria induces abnormal expression of c-Fos protein in vagal afferent brain regions, directly triggering host anxiety like behaviors<sup>[<xref ref-type="bibr" rid="B20">20</xref>]</sup>. </p>
          <p>Enteric nervous system<break/>Functioning as the intrinsic control center of the gastrointestinal tract, the ENS not only regulates gut motility, local blood flow, and epithelial secretion but also serves as a fundamental interface connecting the intestinal microenvironment with the host physiological state. Notably, the structural integrity and functional maturation of the ENS are highly dependent on the early colonization and continuous signaling input from the gut microbiota<sup>[<xref ref-type="bibr" rid="B21">21</xref>]</sup>. During the critical postnatal developmental window, microbiota activate Toll-like receptor signaling pathways, directly driving the survival and differentiation of enteric neurons as well as the recruitment of glial cells<sup>[<xref ref-type="bibr" rid="B22">22</xref>]</sup>. Furthermore, microbial metabolites act as signaling molecules to induce enterochromaffin cells to release 5-HT<sup>[<xref ref-type="bibr" rid="B23">23</xref>]</sup>. This subsequently activates specific receptors on the ENS to precisely maintain gut peristaltic rhythms<sup>[<xref ref-type="bibr" rid="B24">24</xref>]</sup>.</p>
        </sec>
      </sec>
      <sec id="sec2-2">
        <title>Autonomic nervous system</title>
        <p>Within the complex network of gut and brain communication, the Autonomic Nervous System (ANS), through the dynamic equilibrium between the sympathetic and parasympathetic branches, plays an indispensable role in maintaining intestinal physiological homeostasis and systemic metabolic balance. In contrast to the immediate modulation mediated by the VN, the gut microbiota and their metabolites constitute a more profound, inter organ physiological feedback loop by regulating sympathetic nervous activity. Notably, microbiota derived SCFAs have been identified as key signaling molecules that activate the sympathetic pathway<sup>[<xref ref-type="bibr" rid="B25">25</xref>]</sup>. This feedback mechanism, linking the gut microenvironment to sympathetic nerve endings, ensures the host’s rapid stress response and adaptation to environmental changes under various pathophysiological conditions<sup>[<xref ref-type="bibr" rid="B26">26</xref>]</sup>. The microbiota driven regulation of the sympathetic nervous system (SNS) is particularly prominent in the precise control of glucose homeostasis<sup>[<xref ref-type="bibr" rid="B27">27</xref>]</sup>. Studies have shown that the gut microbiota, by influencing metabolite sensing in the portal vein system, triggers a sophisticated gut-brain-liver neuroreflex arc<sup>[<xref ref-type="bibr" rid="B27">27</xref>]</sup>. This nonhormone dependent metabolic regulation reveals how the gut microbiota utilizes the ANS as a frequency modulator to intervene in the host’s energy metabolism across space and time<sup>[<xref ref-type="bibr" rid="B28">28</xref>]</sup>.</p>
        <sec id="sec2-2-1">
          <title>Microbial metabolites</title>
          <p>The gut microbiota, functioning as a highly active metabolic hub, continuously generates a series of neuroactive metabolites through the fermentation of dietary fibers and the transformation of endogenous substances. These metabolites thus serve as pivotal messengers in gut-brain communication. Within this intricate metabolic network, SCFAs, primarily acetate, propionate, and butyrate, are core lipid metabolites produced via anaerobic fermentation of dietary fibers<sup>[<xref ref-type="bibr" rid="B29">29</xref>]</sup>. As these metabolites enter the systemic circulation and reach the CNS, SCFAs demonstrate multifaceted roles. They not only effectively promote neurogenesis and contribute to the establishment of systemic immune barriers but also function as natural HDAC inhibitors<sup>[<xref ref-type="bibr" rid="B30">30</xref>]</sup>. By means of epigenetic modifications, they significantly ameliorate host cognitive function and alleviate neuroinflammation<sup>[<xref ref-type="bibr" rid="B31">31</xref>,<xref ref-type="bibr" rid="B32">32</xref>]</sup>. Corresponding to the fermentation of carbohydrates, the microbial metabolism of amino acids constitutes another critical axis of the gut-brain pathway. Upon crossing the blood-brain barrier (BBB), these molecules finely tune the activation state of astrocytes by binding to and activating AHR, thereby exerting profound anti-inflammatory and neuroprotective effects<sup>[<xref ref-type="bibr" rid="B33">33</xref>]</sup>. On the other hand, trimethylamine N-oxide (TMAO), derived from dietary choline metabolism, exhibits a concentration-dependent double-edged sword effect in neuroregulation. Under physiological concentrations, TMAO helps maintain the structural integrity of the BBB, which is crucial for restricting the invasion of peripheral pro-inflammatory factors into the brain<sup>[<xref ref-type="bibr" rid="B34">34</xref>,<xref ref-type="bibr" rid="B35">35</xref>]</sup>. However, when microbial metabolic dysregulation leads to the pathological accumulation of TMAO, it not only induces severe neuroinflammation but also disrupts synaptic plasticity, ultimately resulting in cognitive impairment<sup>[<xref ref-type="bibr" rid="B36">36</xref>]</sup>. These intertwined metabolic pathways collectively constitute the biochemical foundation through which the gut microenvironment systematically reshapes central nervous function and local immune status.</p>
        </sec>
      </sec>
      <sec id="sec2-3">
        <title>The role of the nervous system</title>
        <p>As shown in <xref ref-type="table" rid="t1">Table 1</xref>, in the bidirectional communication of the gut-brain axis, the nervous system not only receives signals from the gut but also exerts profound regulatory effects on the composition, distribution, and metabolism of the gut microbiota through multiple pathways. This top and down regulation is primarily mediated via neural, endocrine, and immune circuits.</p>
        <table-wrap id="t1">
          <label>Table 1</label>
          <caption>
            <p>Summary of main neurotransmitters between gut bacteria and nervous system</p>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <td style="border-bottom:1;">
                  <bold>Neurotransmitter</bold>
                </td>
                <td colspan="2" style="border-bottom:1;">
                  <bold>Chemical formula</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Metabolic pathway</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Bacterial strain</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Experimental model</bold>
                </td>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td colspan="2">GABA</td>
                <td>C<sub>4</sub>H<sub>9</sub>NO<sub>2</sub></td>
                <td>glutamate metabolism</td>
                <td>
                  <italic>Bifidobacterium</italic>, <italic>Bacteroides fragilis</italic>, <italic>Parabacteroides</italic>, <italic>Eubacterium</italic>;</td>
                <td>BALB/c mice treated with <italic>L. rhamnosus</italic> probiotics;</td>
              </tr>
              <tr>
                <td colspan="2">norepinephrine</td>
                <td>C<sub>8</sub>H<sub>11</sub>NO<sub>3</sub></td>
                <td>tyrosine and phenylalanine metabolism</td>
                <td>
                  <italic>Bacillus mycoides, Bacillus subtilis</italic>, <italic>Escherichia coli</italic>, <italic>Proteus vulgaris</italic>, <italic>Serratia marcescens</italic>;</td>
                <td>GF and SPF BALB/c mice, BALB/c mice monocolonized with <italic>E. coli</italic>;</td>
              </tr>
              <tr>
                <td colspan="2">5-HT</td>
                <td>C<sub>10</sub>H<sub>12</sub>N<sub>2</sub>O</td>
                <td>tryptophan metabolism</td>
                <td>
                  <italic>Escherichia coli</italic>, <italic>Hafnia alvei</italic>, <italic>Klebsiella pneumoniae</italic>, <italic>Lactobacillus plantarum</italic>, <italic>Lactococcus lactis subsp.cremoris</italic>, <italic>Morganella morganii</italic>, <italic>Streptococcus thermophilus</italic>;</td>
                <td>lactobacillus and streptococcus cultures;</td>
              </tr>
              <tr>
                <td colspan="2">dopamine</td>
                <td>C<sub>8</sub>H<sub>11</sub>NO<sub>2</sub></td>
                <td>tyrosine and phenylalanine metabolism</td>
                <td>
                  <italic>Bacillus cereus</italic>, <italic>Bacillus mycoides</italic>, <italic>Bacillus subtilis</italic>, <italic>Escherichia coli</italic>, <italic>Hafnia alvei</italic>, <italic>Klebsiella pneumoniae</italic>, <italic>Morganella morganii</italic>, <italic>Proteus vulgaris</italic>, <italic>Serratia marcescens</italic>, <italic>Staphylococcus aureus</italic>;</td>
                <td>GF and SPF BALB/c mice, BALB/c mice monocolonized with <italic>E. coli</italic>;</td>
              </tr>
              <tr>
                <td colspan="2">histamine</td>
                <td>C<sub>5</sub>H<sub>9</sub>N<sub>3</sub></td>
                <td>phenylalanine and histidine metabolism</td>
                <td>
                  <italic>Citrobacter freundii</italic>, <italic>Enterobacter species</italic>, <italic>Hafnia alvei</italic>, <italic>Klebsiella pneumoniae</italic>, <italic>Lactobacillus plantarum</italic>, <italic>Lactobacillus hilgardii</italic>, <italic>Lactobacillus mali</italic>, <italic>Lactococcus lactis subsp.cremoris</italic>, <italic>Lactococcus lactis subsp.lactis</italic>, <italic>Morganella morganii</italic>, <italic>Oenococcus oeni</italic>, <italic>Pediococcus parvulus</italic>, <italic>Streptococcus thermophiles</italic>;</td>
                <td>C57BL/6 mice monocolonized with <italic>M. morganii</italic>, HEK293 cell;</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>GABA: γ-aminobutyric acid; BALB/c: BALB/c mouse strain; GF: germ-free; SPF: specific pathogen-free; 5-HT: 5-hydroxytryptamine.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <sec id="sec2-3-1">
          <title>Direct and indirect regulation of the ENS</title>
          <p>The ENS, owing to its extensive and highly autonomous neuronal network, is regarded as the most direct interface for the host’s top and down regulation of the gut microbiota. Although ENS neurons do not physically extend into the gut lumen to make direct contact with microbes, they exert profound indirect influences through a sophisticated network of chemical signaling. Specifically, ENS neurons synthesize and release over 30 neurotransmitters, neuropeptides, and neurotrophic factors, including Acetylcholine (Ach), catecholamines, 5-HT, and histamine<sup>[<xref ref-type="bibr" rid="B37">37</xref>]</sup>. These abundant neural signals not only regulate gut motility, local blood flow, and epithelial secretion but also reshape the local mucosal microenvironment by altering its physicochemical properties<sup>[<xref ref-type="bibr" rid="B38">38</xref>]</sup>. This, in turn, acts as an environmental selection pressure that indirectly modulates the community composition and metabolic activity of the gut microbiota<sup>[<xref ref-type="bibr" rid="B39">39</xref>]</sup>. This neuro and microbial regulatory mechanism have been robustly substantiated at the multi-omics level. More importantly, this ENS-based signaling is crucial for maintaining postnatal gut development and microbial homeostasis. Specific genetic knockout or deficiency of choline acetyltransferase in enteric neurons leads to marked motility disorders and inevitably accompanies severe dysbiosis<sup>[<xref ref-type="bibr" rid="B40">40</xref>]</sup>. This body of evidence strongly suggests that the signaling network of the ENS plays a pivotal hub role in maintaining host and microbe symbiosis.</p>
        </sec>
        <sec id="sec2-3-2">
          <title>Descending regulation of the ANS</title>
          <p>Within the intricate network of gut-brain communication, the ANS, via the efferent fibers of the sympathetic and parasympathetic nerves, precisely transmits high level commands from the brain to intestinal effector cells. This process systematically reshapes the gut micro ecology at a macroscopic level. Vagal efferent fibers primarily release ACh to act upon EECs, enteric neurons, and other effector cells<sup>[<xref ref-type="bibr" rid="B41">41</xref>]</sup>. This efferent signaling not only fine tunes gut motility rhythms and glandular secretion but also reflexively screens and restructures the microbial community composition by altering the physicochemical environment within the gut<sup>[<xref ref-type="bibr" rid="B42">42</xref>,<xref ref-type="bibr" rid="B43">43</xref>]</sup>. In parallel with the protective and secretory promoting roles of the vagus nerve, the SNS provides a counter regulatory mechanism for physiological and immune modulation. Sympathetic nerve endings, originating from prevertebral ganglia, primarily release catecholaminergic neurotransmitters such as norepinephrine (NE) into the gut wall<sup>[<xref ref-type="bibr" rid="B44">44</xref>]</sup>. When sympathetic tone increases, NE binds to adrenergic receptors, directly inhibiting gut motility and mucosal secretion while triggering local microvascular constriction<sup>[<xref ref-type="bibr" rid="B45">45</xref>]</sup>. This leads to a significant reduction in tissue perfusion. This mediated drastic decline in hemodynamics and gut motility profoundly alters the intraluminal oxygen gradients, pH levels, and nutrient availability<sup>[<xref ref-type="bibr" rid="B46">46</xref>]</sup>. Acting as a potent environmental selection pressure, it indirectly but strongly determines the survival and colonization advantages of different bacterial taxa<sup>[<xref ref-type="bibr" rid="B47">47</xref>]</sup>. Therefore, the dynamic interplay between sympathetic and parasympathetic efferent signals within the autonomic nervous system dictates the physical and biochemical characteristics of the gut microenvironment by regulating blood flow and inflammatory responses.</p>
        </sec>
      </sec>
    </sec>
    <sec id="sec3">
      <title>THE NERVOUS SYSTEM AND TUMOR</title>
      <p>Building upon microbiota-driven neural reprogramming, the next critical step of the gut-neuro-tumor signaling feedback lies in how neural outputs are spatially delivered to the TME. Tumors are not passive recipients of neural signals. Instead, they actively exploit neural innervation to coordinate immune suppression, metabolic adaptation, and invasive behavior. As shown in <xref ref-type="table" rid="t2">Table 2</xref>, a growing body of research indicates that nerve-tumor interactions are a key mechanism driving tumor progression. Selected tumor types can sense and respond to neuronal activity. Functional neuron-tumor synaptic interactions have been demonstrated most clearly in glioma and selected brain-metastasis models, whereas extracranial tumors more commonly interact with nerves through neurotransmitters, neuropeptides, neurotrophic factors, Schwann cells, and perineural invasion. Neurotransmitters released by neurons can promote the proliferation, migration, and invasion of tumor. Furthermore, neuronal activity itself can significantly accelerate tumor growth. In addition to neurons, astrocytes, microglia, and immune cells in the TME collectively construct a multicellular, synergistic protumor network that promotes tumor growth and spread. Therefore, nerve and tumor interactions are not only a crucial mechanism for tumor progression but also provide potential therapeutic targets for novel treatment strategies. Importantly, neural regulation is highly dependent on tumor type and anatomical context. Direct electrochemical coupling through functional neuron-tumor synapses has been most convincingly demonstrated in primary brain tumors, particularly high-grade gliomas, and in selected models of brain metastasis. α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor (AMPAR)-mediated synaptic integration, activity-dependent neuroligin-3 (NLGN3) secretion, tumor microtube-mediated electrical coupling, and BDNF- tropomyosin receptor kinase B (TrkB)-associated synaptic plasticity are therefore discussed primarily in the context of glioma. N-methyl-D-aspartate receptor (NMDAR)-dependent pseudo-tripartite interactions are supported mainly by studies of breast cancer brain metastasis. In contrast, neural regulation in extracranial solid tumors is more commonly mediated through autonomic or sensory neurotransmission, neurotrophin-driven nerve recruitment, perineural invasion, and neuroimmune modulation. These distinct levels of evidence should not be considered interchangeable across tumor types.</p>
     <table-wrap id="t2">
          <label>Table 2</label>
          <caption>
            <p>Summary of mechanisms underlying neuron and tumor interactions, including tumor types, involved signaling pathways, implicated immune cells, and associated clinical implications</p>
          </caption>
          <table frame="hsides" rules="groups">
            <thead>
              <tr>
                <td style="border-bottom:1;">
                  <bold>Tumor</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Signal pathway/cytokines</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Immune cells</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Mechanism</bold>
                </td>
                <td style="border-bottom:1;">
                  <bold>Clinical impact</bold>
                </td>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td>prostate cancer</td>
                <td>NGF-TrkA, CGRP-RAMP1, TRPV1, Piezo1</td>
                <td>M2, ILC2</td>
                <td>• Tumors secrete NGF to recruit sensory nerves, establishing a nerve and tumor feedback loop, Nerve sprouting and formation of neuroma-like structures, and TRPV1-mediated pain signaling;</td>
                <td>• Poor prognosis, increased risk of PNI;</td>
              </tr>
              <tr>
                <td>gastric cancer</td>
                <td>CGRP-RAMP1/CALCRL, TRPV1, PAR2, NGF-TrkA</td>
                <td>M2, ILC2, Treg cell</td>
                <td>• Tumors secrete neurotrophic factors to recruit sensory nerves, Electrochemical coupling and neuropeptide release, TRPV1/PAR2-mediated neuronal sensitization;</td>
                <td>• <italic>Helicobacter pylori</italic> infection exacerbates neuron and tumor interactions;</td>
              </tr>
              <tr>
                <td>pancreatic ductal adenocarcinoma</td>
                <td>β<sub>2</sub>-Adrenergic-Neurotrophin loop, HGF/c-Met-mTOR/NGF axis</td>
                <td>TAMs, MDSCs, Treg cell</td>
                <td>• Neural reprogramming and PNI contribute to pancreatic cancer progression. Reciprocal signaling among tumor cells, peripheral nerves, and cancer-associated fibroblasts establishes a positive feedback loop, while mechanosensitive ion channels further promote invasive growth and neural infiltration;</td>
                <td>• High intratumoral nerve density is associated with an unfavorable prognosis;<break />• Preclinical evidence suggests that combining neural-targeted interventions with immunotherapy may improve therapeutic efficacy;</td>
              </tr>
              <tr>
                <td>melanoma</td>
                <td>CGRP-RAMP1, TRPV1, TGF-β</td>
                <td>CD8<sup>+</sup> T cell, M2, MDSCs</td>
                <td>• CGRP induces CD8<sup>+</sup> T cell exhaustion, neuron and immune interactions promote immunosuppression and nerve repair-like responses support tumor growth;</td>
                <td>• Targeting CGRP or TRPV1 can enhance the efficacy of immunotherapy;</td>
              </tr>
              <tr>
                <td>oral cancer</td>
                <td>CGRP-RAMP1, SP-NK1R, A2A, TNF-α</td>
                <td>CD8<sup>+</sup> T cell, NK, M2</td>
                <td>• tumor-secreted TNF-α/adenosine activates sensory nerves and CGRP suppresses anti-tumor immunity;</td>
                <td>• Aggressive progression, poor prognosis;</td>
              </tr>
              <tr>
                <td>high-grade glioma</td>
                <td>AMPAR-mediated neuron-glioma synapses, ADAM10-NLGN3, BDNF-TrkB;</td>
                <td>Treg cell, CD8<sup>+</sup> T</td>
                <td>• neuronal activity induces glutamatergic synaptic input, activity-dependent NLGN3 release, and adaptive synaptic plasticity, thereby promoting glioma-cell proliferation and network integration</td>
                <td>• Preclinical inhibition of AMPAR-, NLGN3-, or TrkB-associated signaling suppresses tumor-associated phenotypes, clinical efficacy remains to be established;</td>
              </tr>
              <tr>
                <td>breast cancer brain metastasis</td>
                <td>NMDAR-mediated glutamatergic signaling;</td>
                <td>T cell</td>
                <td>• brain-metastatic cells exploit glutamate released at neuronal synapses and activate NMDAR-dependent calcium signaling to support intracranial survival and outgrowth;</td>
                <td>• NMDAR signaling represents a potential target in selected brain-metastatic settings, but clinical validation is lacking;</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn>
              <p>NGF-TrkA: nerve growth factor-tropomyosin receptor kinase A signaling axis; CGRP-RAMP1: calcitonin gene-related peptide-receptor activity-modifying protein 1 signaling axis; TRPV1: transient receptor potential vanilloid 1; Piezo1: Piezo-type mechanosensitive ion channel component 1; CALCRL: calcitonin receptor-like receptor; M2 macrophage: alternatively activated macrophage; ILC2: group 2 innate lymphoid cell; Treg: regulatory T cell; PAR2: protease-activated receptor 2; HGF: hepatocyte growth factor; c-Met-mTOR: c-Met receptor tyrosine kinase-mechanistic target of rapamycin signaling pathway; TAM: tumor-associated macrophage; MDSC: myeloid-derived suppressor cell; PNI: perineural invasion; TGF-β: transforming growth factor-β; SP-NK1R: substance P-neurokinin 1 receptor signaling axis; A2AR: adenosine A2A receptor; TNF-α: tumor necrosis factor-α; AMPAR: α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid receptor; ADAM10-NLGN3: a disintegrin and metalloproteinase domain-containing protein 10-neuroligin-3 signaling axis; BDNF-TrkB: brain-derived neurotrophic factor-tropomyosin receptor kinase B signaling axis; CD8<sup>+</sup> T cell: CD8-positive T cell.</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
      <sec id="sec3-1">
        <title>Tumor-type- and tissue-specific mechanisms of neural-tumor interactions</title>
        <p>Tumor progression can be viewed as a dynamic process shaped by tumor-intrinsic programs, neural inputs, and the cellular and molecular composition of the TME, rather than simply restricted to purely intrinsic oncogenic programs and conventional matrix signaling. As presented in <xref ref-type="fig" rid="fig4">Figure 4</xref>, tumors are also capable of actively perceiving and integrating multilevel signals from neurons that modulate its biological behavior, such as electrophysiological activity following neurotropic factors, neurotransmitters or ion channels. The mechanisms through which tumor released brain derived neurotrophic factor (BDNF) then goes onto to induce a tumorigenic phenotype are complex, but have been well characterized in gliomas<sup>[<xref ref-type="bibr" rid="B48">48</xref>,<xref ref-type="bibr" rid="B49">49</xref>]</sup>. Conversely, the inhibitory neurotransmission is functionally reshaped by tumors, forming autocrine and paracrine networks and inducing immunosuppression that allows immune escape<sup>[<xref ref-type="bibr" rid="B50">50</xref>]</sup>. The effective transmission of these neural signals depends on the structural stability of synaptic adhesion molecules, while ion channels finely regulate the nerve and tumor signaling axis by modulating membrane potential and cellular excitability<sup>[<xref ref-type="bibr" rid="B51">51</xref>]</sup>. The SNS of the peripheral nervous system promotes proliferation, angiogenesis, and metastasis associated pathways through NE<sup>[<xref ref-type="bibr" rid="B52">52</xref>]</sup>. On the other hand, the parasympathetic and sensory nervous systems facilitate tumor development by manipulation of inflammation, vascular permeability or immune cell infiltration<sup>[<xref ref-type="bibr" rid="B10">10</xref>]</sup>. Tumors are able to spread through the low resistance perineural pathway. Hence, the crosstalk between neurons and tumors is not only a common biological characteristic of tumorigenesis but also can be a promising therapeutic target for new ways in constructing therapeutic approaches.</p>
        <fig id="fig4" position="float">
          <label>Figure 4</label>
          <caption>
            <p>Tumor-type-dependent neural-tumor interactions. Psychological stress activates the hypothalamic-pituitary-adrenal axis and sympathetic nervous system, thereby altering neuroendocrine signaling and the tumor microenvironment across several tumor contexts. Peripheral nerve infiltration, Schwann-cell interactions, neurotrophin signaling, and perineural invasion have been reported in multiple extracranial malignancies. In contrast, AMPAR-mediated neuron-glioma synapses, activity-dependent NLGN3 shedding, NMDAR-dependent pseudo-tripartite interactions, tumor microtube networks, and BDNF-TrkB-associated synaptic plasticity are supported predominantly by studies of glioma and selected brain-metastasis models. These central nervous system-associated mechanisms should not be interpreted as universal features of all solid tumors. TME: Tumor microenvironment; CRH: corticotropin-releasing hormone; ACTH: adrenocorticotropic hormone; OPC: oligodendrocyte precursor cell; CD: cluster of differentiation; CCL: C-C motif chemokine ligand; MDK: midkine; ADAM10: a disintegrin and metalloproteinase domain-containing protein 10; NLGN3: neuroligin-3; EV: extracellular vesicle; TrkB: tropomyosin receptor kinase B; TrkA: tropomyosin receptor kinase A; GFRα: glial cell line-derived neurotrophic factor family receptor-α; BDNF: brain-derived neurotrophic factor; NGF: nerve growth factor; GDNF: glial cell line-derived neurotrophic factor; MAG: myelin-associated glycoprotein; NCAM1: neural cell adhesion molecule 1; L1CAM: L1 cell adhesion molecule; CX3CL1: C-X3-C motif chemokine ligand 1; MUC1: mucin 1; CX3CR1: C-X3-C motif chemokine receptor 1; RET: rearranged during transfection receptor tyrosine kinase.</p>
          </caption>
          <graphic xlink:href="iomj1011.fig.4.jpg"/>
        </fig>
        <sec id="sec3-1-1">
          <title>Glutamate-AMPAR signaling in high-grade glioma</title>
          <p>Evidence for AMPAR-mediated electrochemical integration is strongest in high-grade glioma. In these tumors, excitatory neuron-to-glioma synapses (NGS) provide a direct route through which neuronal activity can influence malignant cells<sup>[<xref ref-type="bibr" rid="B53">53</xref>]</sup>. Glutamate released from presynaptic neuronal terminals binds to Ca<sup>2+</sup>-permeable AMPARs expressed on glioma cells, inducing membrane depolarization and intracellular calcium signaling<sup>[<xref ref-type="bibr" rid="B54">54</xref>,<xref ref-type="bibr" rid="B55">55</xref>]</sup>. These electrophysiological inputs can be propagated among interconnected glioma cells through connexin 43-associated tumor networks, thereby coordinating calcium activity and proliferative responses<sup>[<xref ref-type="bibr" rid="B56">56</xref>]</sup>. Available evidence is derived predominantly from glioma cell systems, human glioma analyses, and preclinical brain-tumor models. Whether comparable AMPARs-dependent synaptic integration occurs in extracranial solid tumors remains insufficiently established and requires direct electrophysiological and structural validation.</p>
        </sec>
        <sec id="sec3-1-2">
          <title>NMDAR-mediated signaling in breast cancer brain metastasis</title>
          <p>Evidence for NMDAR-mediated neuron-tumor communication is currently most compelling in models of breast cancer brain metastasis. After colonizing the brain, metastatic breast cancer cells can occupy positions adjacent to pre-existing glutamatergic synapses and form pseudo-tripartite arrangements in which tumor-expressed NMDA receptors sense neuron-derived glutamate<sup>[<xref ref-type="bibr" rid="B57">57</xref>]</sup>. Activation of these receptors promotes calcium influx and downstream signaling that may support metastatic cell survival, adaptation, and outgrowth within the neural microenvironment<sup>[<xref ref-type="bibr" rid="B58">58</xref>]</sup>. NMDAR-dependent effects on migration or viability have also been observed in selected breast cancer cell systems. However, receptor expression or pharmacological responsiveness alone does not demonstrate the formation of functional neuron-tumor synapses outside the brain. Thus, this mechanism should presently be interpreted as a feature of selected brain-metastatic contexts rather than a general mechanism shared by primary breast tumors or other extracranial solid cancers. In this architecture, NMDAR expressed by cancer cells act as microenvironmental sensors. By receiving glutamate signals released between neurons, they trigger persistent calcium influx and downstream CaMKII signaling cascades. This mechanism not only provides crucial survival signals for tumor cells during the process of metastatic colonization but also enables them to exploit the high concentration of excitatory neurotransmitters in the synaptic cleft as a driving force for growth.</p>
        </sec>
        <sec id="sec3-1-3">
          <title>Tumor microtube networks in glioma</title>
          <p>The malignant phenotype of gliomas is largely attributable to their unique anatomical architecture: the tumor microtube (TM) network. Driven by GAP43, these elongated tubular protrusions break the individual boundaries between cancer cells<sup>[<xref ref-type="bibr" rid="B59">59</xref>]</sup>. Through connexin 43-mediated gap junctions, they couple scattered tumor cells into a functional multicellular syncytium<sup>[<xref ref-type="bibr" rid="B60">60</xref>]</sup>. Within this architecture, electrical signals from neuronal synapses and glutamate driven calcium influx are no longer confined to local regions<sup>[<xref ref-type="bibr" rid="B61">61</xref>]</sup>. Instead, they are transformed into population wide synchronous calcium oscillations via the TMs network. This networked mode of survival not only endows tumor cells with the ability for coordinated invasion but also constitutes the structural basis for their extreme resistance to radiotherapy and chemotherapy through collective metabolic support and stress buffering. Tumor microtube-mediated multicellular integration has been characterized most extensively in glioma and should not be equated with connexin expression or intercellular communication observed in other solid tumors. Evidence for structurally and functionally equivalent tumor microtube networks outside the central nervous system remains limited.</p>
        </sec>
        <sec id="sec3-1-4">
          <title>Activity-dependent ADAM10-NLGN3 signaling in glioma</title>
          <p>Activity-dependent a disintegrin and metalloproteinase domain-containing protein 10 (ADAM10)-NLGN3 signaling has been established primarily in preclinical models of high-grade glioma. Increased neuronal activity promotes ADAM10-dependent ectodomain shedding of membrane-bound neuroligin-3, releasing soluble NLGN3 into the local neural microenvironment<sup>[<xref ref-type="bibr" rid="B62">62</xref>]</sup>. In susceptible glioma cells, soluble NLGN3 activates growth-associated pathways, including phosphatidylinositol 3-kinase (PI3K)-mammalian target of rapamycin (mTOR) and MAPK signaling, and promotes transcriptional programs that support tumor proliferation and neural integration<sup>[<xref ref-type="bibr" rid="B63">63</xref>]</sup>. This interaction may generate a positive feedback loop within the glioma microenvironment by increasing the responsiveness of malignant cells to neural activity. However, NLGN3 should currently be regarded as a context-dependent neural niche factor rather than a universally established mitogen for all solid tumors<sup>[<xref ref-type="bibr" rid="B64">64</xref>]</sup>. Direct evidence for an equivalent activity-dependent ADAM10-NLGN3 circuit in extracranial cancers remains limited.</p>
        </sec>
        <sec id="sec3-1-5">
          <title>BDNF-TrkB-associated synaptic plasticity in glioma</title>
          <p>The role of BDNF-TrkB signaling in activity-dependent neuron-tumor synaptic plasticity has been characterized mainly in glioma models<sup>[<xref ref-type="bibr" rid="B65">65</xref>]</sup>. Neuron-derived BDNF can activate TrkB expressed by glioma cells and engage downstream PI3K-AKT and MAPK- extracellular regulated protein kinases (ERK) signaling, thereby supporting tumor-cell survival and proliferation<sup>[<xref ref-type="bibr" rid="B66">66</xref>]</sup>. In addition, BDNF-TrkB signaling can enhance the strength and stability of neuron-glioma synaptic interactions, including through changes in postsynaptic AMPA-receptor abundance, thereby establishing an activity-dependent positive feedback loop<sup>[<xref ref-type="bibr" rid="B67">67</xref>]</sup>. Although TrkB expression and BDNF-responsive pro-survival signaling have been reported in several malignancies, the specific role of this pathway in strengthening functional neuron-tumor synapses is currently supported predominantly in the neural microenvironment of glioma. Its applicability to extracranial solid tumors therefore requires independent structural, electrophysiological, and functional validation. These central nervous system-specific synaptic mechanisms should be distinguished from neurotrophin-driven nerve recruitment and perineural invasion, which have broader, although still tumor-dependent, evidence in several extracranial malignancies and are discussed below.</p>
        </sec>
        <sec id="sec3-1-6">
          <title>NGF-TrkA pathway</title>
          <p>In the remodeling of the TME, the nerve growth factor (NGF)- tropomyosin receptor kinase A (TrkA) pathway serves not merely as a bridge for neural regulation but as a positive feedback amplifier driving malignant progression. Tumor cells actively induce the inward ingrowth of surrounding nerve fibers by secreting NGF to establish a chemotactic gradient, thereby achieving structural reconstruction through neurogenesis<sup>[<xref ref-type="bibr" rid="B68">68</xref>]</sup>. More critically, ingrown neurons and tumor cells form a sophisticated autocrine/paracrine interactive loop via the NGF-TrkA axis. Neuron-derived NGF binds to TrkA receptors on tumor cells, directly driving sustained proliferation and anti-apoptosis through the cascading activation of PI3K/Akt and MAPK/ERK pathways<sup>[<xref ref-type="bibr" rid="B69">69</xref>]</sup>. Simultaneously, the tumor cells’ own NGF secretion further maintains the growth promoting state of the microenvironment. This neuro-dependent autocrine loop significantly enhances tumor invasiveness and constitutes the core molecular basis of perineural invasion (PNI)<sup>[<xref ref-type="bibr" rid="B70">70</xref>]</sup>. Therefore, deciphering and blocking this NGF-TrkA feedback axis holds promise as a novel precision therapeutic strategy to inhibit tumor neural invasion and reverse neuro-dependent tumor growth. </p>
        </sec>
        <sec id="sec3-1-7">
          <title>Influence the immune system of TME</title>
          <p>As shown in <xref ref-type="fig" rid="fig5">Figure 5</xref>, within the TME, the nervous system regulates immune cell function by innervating the tumor matrix through nerve fibers and continuously releasing neurotransmitters and neuropeptides. These neural signals influence the migration, spatial distribution, and functional state of immune cells through a chemokine network. Mediators such as sympathetic neurotransmitters, ACh, and calcitonin gene related peptide (CGRP) not only bind directly to receptors on immune cells but also influence immune cell infiltration and migration by modulating the physical and chemical properties of the TME<sup>[<xref ref-type="bibr" rid="B71">71</xref>-<xref ref-type="bibr" rid="B73">73</xref>]</sup>. The neurotransmitter NE is also known to modulate T cell migration and effector functions in part by binding to β<sub>2</sub> adrenergic receptors<sup>[<xref ref-type="bibr" rid="B74">74</xref>]</sup>. Acute stress that can act as an immune adjuvant on CD4<sup>+</sup> T cell mediated immunity, whereas chronic stress contributes to the failure of remote immune surveillance via induced apoptosis in CD8<sup>+</sup> T cells leading to tumor immune escape<sup>[<xref ref-type="bibr" rid="B75">75</xref>]</sup>. In addition, chronic stress and sustained β<sub>2</sub> adrenergic signaling upregulate the production level of ACh that can lead to induced tumor associated macrophages (TAMs) reprogramming into M2 type with immunosuppression effect as well as inhibit TNF production in turn enhance their immune suppressed profile<sup>[<xref ref-type="bibr" rid="B76">76</xref>,<xref ref-type="bibr" rid="B77">77</xref>]</sup>. Neuronal signals upregulate immunosuppression and angiogenesis as a consequence of specific receptor scaffolds and downstream pathways, which can favor growth of the neoplasm and spread to distant organs. In addition, nerves control also myeloid derived suppressor cells (MDSCs) and other myeloid populations fueling the tumor immune escape<sup>[<xref ref-type="bibr" rid="B78">78</xref>]</sup>. Therefore, the nerve and tumor axis constitutes a dynamic system in which neurotransmitters, their corresponding receptors, chemokine networks, and the metabolic state of immune cells collectively determine the immune regulatory landscape of the TME, ultimately influencing tumor progression and treatment response.</p>
          <fig id="fig5" position="float" width="450">
            <label>Figure 5</label>
            <caption>
              <p>A schematic diagram of neuroimmune interactions within the TME. Sympathetic/parasympathetic nerves and sensory related signals act on T cells, MDSCs, and TAMs via neurotransmitters such as NE and Ach, regulating T cell migration and effector function while driving myeloid-mediated immunosuppression. Acute and chronic stress enhance or inhibit antitumor immunity, respectively. Furthermore, the Schwann cell CCL2 axis promotes TAM recruitment, and T cell derived GABA induces TAM M2 like polarization via GABA receptors, further enhancing immunosuppression. α-AR: α-adrenergic receptor; β-AR: β-adrenergic receptor; TCR: T-cell receptor; CD4<sup>+</sup> T cell: CD4-positive T cell; GABAR: γ-aminobutyric acid receptor; MR: muscarinic receptor; CCL2: C-C motif chemokine ligand 2; TAM: tumor-associated macrophage; TFF2: trefoil factor 2; TNF: tumor necrosis factor; ACh: acetylcholine; PMN: polymorphonuclear neutrophil; MDSC: myeloid-derived suppressor cell; PD-L1: programmed death-ligand 1; VEGF: vascular endothelial growth factor; IFN: interferon; CD8<sup>+</sup> T cell: CD8-positive T cell; NE: norepinephrine; GABA: γ-aminobutyric acid.</p>
            </caption>
            <graphic xlink:href="iomj1011.fig.5.jpg"/>
          </fig>
        </sec>
      </sec>
    </sec>
    <sec id="sec4">
      <title>THE GUT AND TUMOR</title>
      <p>The gut microbiota can directly influence tumor cells and the TME through microbial metabolites, structural components, and interactions with intratumoral bacteria. Importantly, these direct interactions do not occur in isolation but coexist with and dynamically integrate with neural signaling pathways, thereby modulating the intensity, spatial distribution, and functional consequences of microbiota driven tumor regulation.</p>
      <sec id="sec4-1">
        <title>Signaling pathways</title>
        <sec id="sec4-1-1">
          <title>Wnt/β-catenin pathway</title>
          <p>Dysregulation of the Wnt/β-catenin signaling pathway serves as a central driver in oncogenesis and cancer progression, acting not only as the core engine for epithelial dedifferentiation and malignant transformation but also as a key molecular hub for cross kingdom communication with the gut microbiota. Fusobacterium nucleatum, utilizes its surface adhesin FadA to specifically bind E-cadherin on colonic epithelial cells<sup>[<xref ref-type="bibr" rid="B79">79</xref>]</sup>. This interaction induces endocytosis of the receptor, thereby disrupting the homeostasis of β-catenin anchoring at the cell membrane<sup>[<xref ref-type="bibr" rid="B80">80</xref>]</sup>. Concurrently, the gut microbiota amplifies this signaling cascade by altering the repertoire of local metabolites. Particularly under high fat diet induced bile acid metabolic dysregulation, microbiota derived secondary bile acids act as potent antagonists of the Farnesoid X Receptor (FXR) in the context of compromised genetic stability. Since FXR normally plays a protective role in maintaining intestinal epithelial homeostasis by suppressing β-catenin signaling, this metabolically driven antagonism effectively lifts the negative regulation on the Wnt pathway<sup>[<xref ref-type="bibr" rid="B81">81</xref>]</sup>. It thereby acts as a critical booster in the transformation of colonic stem cells into cancer stem cells. Moreover, this microbe driven signal dysregulation does not exist in isolation. It is intricately intertwined with inflammatory cues in the microenvironment. Microbiota dysbiosis induced chronic inflammation drives the production of abundant pro-inflammatory cytokines via the toll-like receptor 4 (TLR4)/NF-κB axis, leading to STAT3 pathway activation<sup>[<xref ref-type="bibr" rid="B82">82</xref>]</sup>. This pathway not only positively synergizes with Wnt/β-catenin signaling, stabilizing its activated state through epigenetic remodeling, but also collaborates with oncogenic bacteria like Fusobacterium nucleatum to create a conducive niche for tumor growth and immune evasion.</p>
        </sec>
      </sec>
      <sec id="sec4-2">
        <title>TLR/NF-κB pathway</title>
        <p>During the evolution of the TME, gut derived pathogen associated molecular patterns (PAMPs) function not merely as initiators of local immune responses but as systemic drivers that reshape the immunological landscape of the TME. Dysbiosis of the gut microbiota compromises barrier integrity, allowing bacterial components such as lipopolysaccharide (LPS) and flagellin to translocate across the intestinal epithelial barrier<sup>[<xref ref-type="bibr" rid="B83">83</xref>]</sup>. Upon entering the tumor tissue via systemic circulation, these components bind to pattern recognition receptors (PRRs) on tumor cells and infiltrating immune cells, thereby activating downstream NF-κB and MAPK signaling cascades<sup>[<xref ref-type="bibr" rid="B84">84</xref>]</sup>. Sustained activation of these pathways directly triggers the release of pro-inflammatory cytokines, fostering a chronic inflammatory milieu that promotes cell proliferation and survival. More profoundly, this activation alters the immune tolerance status of the microenvironment through cascade feedback. Specifically, engagement of the LPS/TLR4 axis actively recruits large numbers of MDSCs into the tumor bed by inducing chemokine secretion. Concurrently, this axis, in concert with tumor derived metabolites, drives the polarization of resident macrophages toward an M2 phenotype, significantly enhancing the immunosuppressive functions of these myeloid cells<sup>[<xref ref-type="bibr" rid="B85">85</xref>]</sup>. This microbe driven inflammatory milieu further suppresses anti-tumor immunity through intricate crosstalk mechanisms. In summary, microbe driven PRR activation serves as more than just a signal source for tumor inflammation. By integrating the recruitment and polarization of myeloid cells, remodeling the cytokine network, and upregulating checkpoint molecules, it constructs a multi layered immunosuppressive barrier. This enables tumors to achieve persistent immune escape and clonal expansion under the surveillance of the host immune system.</p>
        <sec id="sec4-2-1">
          <title>STAT3 pathway</title>
          <p>In the molecular mechanisms underlying gut microbiota mediated remodeling of the TME, the STAT3 signaling pathway serves not only as a regulatory hub for cell proliferation but also as a critical bridge linking dysbiosis to chronic pro-tumorigenic inflammation. During the pathological progression of colorectal cancer (CRC), sustained activation of STAT3 effectively establishes a permissive condition for tumor growth and immune escape<sup>[<xref ref-type="bibr" rid="B86">86</xref>]</sup>. Enterotoxigenic Bacteroides fragilis (ETBF) is a prototypical pathobiont driving this pathway. The B. fragilis toxin secreted by ETBF acts as the triggering signal, binding to epithelial cell surface receptors and inducing aberrant phosphorylation of STAT3 through a signaling cascade<sup>[<xref ref-type="bibr" rid="B87">87</xref>]</sup>. This cascade, initiated by microbial toxins, integrated by STAT3 signaling, and culminating in immune barrier remodeling, constitutes an indispensable logical circuit in the pro-tumorigenic mechanism of the gut microbiota and tumor axis, greatly accelerating the malignant progression of CRC.</p>
        </sec>
        <sec id="sec4-2-2">
          <title>cGAS-STING pathway</title>
          <p>As a central sensing mechanism for cytosolic DNA, stimulator of interferon genes (STING) not only serves as a pivotal hub in regulating intrinsic anti-tumor immunity but also enables precision sensitization of immune checkpoint blockade (ICB) therapies through extrinsic microbial intervention. In this context, specific probiotic communities and their metabolites act as potent molecular triggers for pathway activation. Upon local translocation or systemic circulation, these microbial components engage antigen presenting cells and activate the cytosolic sensor cGAS within dendritic cells (DCs), thereby catalyzing the synthesis of cyclic GMP-AMP (cGAMP)<sup>[<xref ref-type="bibr" rid="B88">88</xref>]</sup>. This subsequently propagates the STING-dependent TBK1-IRF3 signaling cascade, prompting robust synthesis and secretion of Type I Interferons (IFN-I)<sup>[<xref ref-type="bibr" rid="B89">89</xref>]</sup>. This axis exerts profound efficacy in reshaping the anti-tumor immune landscape. Ultimately, probiotic driven STING activation creates an optimal responsive niche for immune checkpoint inhibitors (ICIs). By synergistically boosting T cell cytotoxicity and tumor specific responses, this mechanism effectively breaches the tumor’s immune escape barriers.</p>
        </sec>
      </sec>
    </sec>
    <sec id="sec5">
      <title>GUT-NEURO-TUMOR SIGNALING FEEDBACK</title>
      <p>The gut-neuro-tumor signaling feedback is not intended as a simple combination of the gut-brain axis, gut-tumor axis, cancer neuroscience, and neuroimmune-tumor interactions. Rather, in <xref ref-type="fig" rid="fig6">Figure 6</xref>, it integrates these frameworks into a closed-loop sequence consisting of microbial signal generation, neural sensing and processing, coordinated delivery of neuroimmune and metabolic outputs to the TME, and tumor-driven feedback to neural and intestinal homeostasis. This organization enables the nervous system to be considered not merely as a conduit, but as a context-dependent signal-processing layer that can alter the magnitude, timing, and anatomical distribution of microbiota-derived effects. From a therapeutic perspective, this architecture provides multiple interventional entry points at distinct regulatory levels, including modulation of microbial signal sources, recalibration of neural signal integration and amplification, and direct reprogramming of the TME. The evidence supporting this framework can be considered at three levels. Firstly, direct experimental evidence supports individual pairwise relationships, such as microbial metabolites altering neural activity, neural signals modulating tumor or immune cells, and tumors remodeling local nerves or systemic stress responses. Selected studies also indirectly support neural mediation by showing that disruption of vagal, sympathetic, or sensory pathways modifies the biological effects associated with microbial or tumor-derived signals. In addition, the proposition that the nervous system acts as a dominant integrator and amplifier across the entire gut-neuro-tumor circuit remains hypothetical. No single study has yet traced the complete signal flow across the microbiota, nervous system, TME, and feedback compartments with temporal and causal resolution.</p>
      <fig id="fig6" position="float">
        <label>Figure 6</label>
        <caption>
          <p>The bidirectional gut-neuro-tumor signaling feedback in the TME remodeling. CNS: central nervous system; SNS: sympathetic nervous system; PSNS: parasympathetic nervous system; 5-HT: 5-hydroxytryptamine; ENS: enteric nervous system; SCFA: short-chain fatty acid; NGS: neuron-to-glioma synapses; NMDAR: N-methyl-D-aspartate receptor; ADAM10: a disintegrin and metalloproteinase domain-containing protein 10; NLGN3: neuroligin-3; sNLGN3: soluble neuroligin-3; MDSC: myeloid-derived suppressor cell; α-AChR: α-acetylcholine receptor; TNF-α: tumor necrosis factor-α; IL-6: interleukin-6; IL-18: interleukin-18; IL-1β: interleukin-1β; PNI: perineural invasion; TILs: tumor-infiltrating lymphocytes; ERK: extracellular signal-regulated kinase; PI3K-mTOR: phosphoinositide 3-kinase-mechanistic target of rapamycin signaling pathway.</p>
        </caption>
        <graphic xlink:href="iomj1011.fig.6.jpg"/>
      </fig>
      <sec id="sec5-1">
        <title>Signaling pathway</title>
        <sec id="sec5-1-1">
          <title>Metabo-neural regulatory</title>
          <p>Vagus nerve<break/>Within the complex regulatory network of the gut-neuro-tumor signaling feedback, the VN serves as the fastest and most direct bidirectional communication bridge connecting the gut ecosystem to the CNS, playing a pivotal role in signal transduction. This process typically initiates with the precise sensing of microbial metabolites by gut microbiota. Key chemical signals activating vagal afferent fibers include SCFAs, indole and its derivatives, as well as 5-HT secreted by ECs<sup>[<xref ref-type="bibr" rid="B90">90</xref>]</sup>. The most canonical pathway among these is the cholinergic anti-inflammatory pathway. Furthermore, the electrical activity of the VN can remotely modulate the function of tumor infiltrating lymphocytes. In CRC models, enhanced parasympathetic activity reduces the expression of immune checkpoint molecules like PD-1 and PD-L1, consequently boosting the anti-tumor efficacy of CD8<sup>+</sup> T cells<sup>[<xref ref-type="bibr" rid="B91">91</xref>]</sup>. However, this regulatory effect exhibits marked organ dependency. In gastric cancer, excessive cholinergic signaling may promote the maintenance of cancer stemness and proliferation by activating the Wnt/β-catenin pathway<sup>[<xref ref-type="bibr" rid="B92">92</xref>]</sup>. This bidirectional loop, initiated by gut microbes, amplified by neural circuits, and ultimately acting upon the tumor immune microenvironment (TIME), not only reveals the precise systemic regulation of local tumors but also provides crucial theoretical support for optimizing cancer therapies through neuromodulation.</p>
        </sec>
        <sec id="sec5-1-2">
          <title>Sympathetic nervous system</title>
          <p>After receiving and integrating signals derived from the gut microbiota and their metabolites, the central nervous system can regulate the TME through sympathetic neural outputs. Within this bidirectional communication circuit, the sympathetic nervous system is frequently associated with tumor initiation and progression. Norepinephrine released from sympathetic nerve terminals binds to β-adrenergic receptors expressed on tumor cells, stromal cells, and immune cells<sup>[<xref ref-type="bibr" rid="B93">93</xref>]</sup>. Activation of β-adrenergic signaling not only promotes cancer cell proliferation, survival, and migration but also induces an angiogenic switch by upregulating vascular endothelial growth factor and matrix metalloproteinases, thereby facilitating neovascularization within the TIME<sup>[<xref ref-type="bibr" rid="B94">94</xref>,<xref ref-type="bibr" rid="B95">95</xref>]</sup>. Furthermore, persistent sympathetic activation induced by chronic psychological stress suppresses the antitumor activity of CD8<sup>+</sup> T cells and natural killer cells while enhancing the recruitment and immunosuppressive functions of MDSCs, ultimately promoting tumor immune escape<sup>[<xref ref-type="bibr" rid="B96">96</xref>]</sup>.</p>
          <p>Parasympathetic nervous system<break/>The parasympathetic nervous system (PSNS) primarily utilizes ACh as its neurotransmitter, yet its impact on tumorigenesis exhibits profound context dependency and organ specificity. In models of gastric and prostate cancer, the infiltration of cholinergic fibers is often positively correlated with pathological progression<sup>[<xref ref-type="bibr" rid="B92">92</xref>]</sup>. In these contexts, ACh binds to muscarinic receptors, subsequently triggering the Wnt/β-catenin or epidermal growth factor receptor (EGFR)/ERK signaling pathways, thereby driving the self-renewal of cancer stem cells and cellular infiltration<sup>[<xref ref-type="bibr" rid="B97">97</xref>]</sup>. However, in breast cancer, PSNS activation demonstrates potential anti-tumor effects<sup>[<xref ref-type="bibr" rid="B98">98</xref>]</sup>. This protective role may be attributed to its ability to downregulate immune checkpoint molecules like PD-1 and PD-L1 via cholinergic signaling, as well as to induce interferon-gamma (IFN-γ) secretion, consequently enhancing local anti-tumor immune responses<sup>[<xref ref-type="bibr" rid="B99">99</xref>]</sup>.</p>
        </sec>
        <sec id="sec5-1-3">
          <title>Neuro-tumor direct interaction pathway in defined anatomical contexts</title>
          <p>Direct neural-tumor interactions include structurally distinct processes whose occurrence varies substantially across tumor types and anatomical sites. Functional electrochemical synapses and activity-dependent neural paracrine signaling have been demonstrated most clearly in primary brain tumors and selected brain-metastatic models<sup>[<xref ref-type="bibr" rid="B100">100</xref>]</sup>. By contrast, direct interactions in extracranial tumors more commonly involve nerve-fiber infiltration, neuropeptide release, neurotrophin signaling, Schwann-cell participation, and perineural invasion<sup>[<xref ref-type="bibr" rid="B101">101</xref>]</sup>. Therefore, the synaptic mechanisms discussed in the following subsections should be interpreted within the specific context of glioma and brain metastasis rather than as universal features of all solid tumors.</p>
          <p>Neurogliomal synapse in glioma and brain metastasis<break/>At the terminal end of the gut-neuro-tumor signaling feedback, tumor cells are not merely passive recipients of remote signals but exhibit a high degree of nicotinamide (NAM). The evidence base differs between tumor types. AMPAR-mediated neuron-tumor synapses and connexin 43-associated multicellular networks are best established in high-grade glioma, whereas NMDAR-dependent pseudo-tripartite interactions have mainly been described in breast cancer brain-metastasis models<sup>[<xref ref-type="bibr" rid="B102">102</xref>,<xref ref-type="bibr" rid="B103">103</xref>]</sup>. They achieve deep physical and biochemical integration by establishing functional synapses with neurons. The core mechanism underlying this integration lies in the ability of malignant cells, particularly high-grade gliomas and breast cancer brain metastases, to express various neurotransmitter receptors, effectively forming NGS<sup>[<xref ref-type="bibr" rid="B104">104</xref>]</sup>. Metastatic tumors demonstrate a unique synaptic evolutionary strategy, and they form structures known as pseudo tripartite synapses by expressing NMDARs. In this configuration, tumor cells occupy the niche typically held by astrocytes in physiological conditions<sup>[<xref ref-type="bibr" rid="B105">105</xref>]</sup>. By continuously scavenging glutamate released from neurons, they activate their own NMDAR pathways, thereby gaining a survival advantage and accelerating colonization and expansion within the challenging brain microenvironment<sup>[<xref ref-type="bibr" rid="B103">103</xref>]</sup>. Notably, the impact of synaptic input is not isolated to single cells. Instead, it is amplified through tumor networks physically coupled by gap junctions, connexin 43. This synchronized calcium wave propagation allows the entire tumor syncytium to respond to neural signals in concert, forming a multicellular integrated network akin to a brain within the brain<sup>[<xref ref-type="bibr" rid="B106">106</xref>]</sup>. This significantly enhances the tumor’s tolerance to stress injuries. Furthermore, tumors hijack adaptive plasticity mechanisms from the nervous system, such as the BDNF-TrkB pathway, to strengthen synaptic connectivity and quantity, establishing a positive feedback loop that fuels malignant evolution<sup>[<xref ref-type="bibr" rid="B67">67</xref>]</sup>. These studies establish a mechanistic basis for neural activity-dependent progression in glioma and selected brain metastases. However, comparable functional synaptic integration has not been demonstrated consistently in extracranial primary tumors, and its prognostic or therapeutic relevance should therefore be evaluated separately for each tumor type and anatomical context.</p>
          <p>Activity-dependent neural paracrine signaling in glioma<break/>Within the remote regulation and terminal effects of the gut-neuro-tumor signaling feedback, paracrine factors secreted by neurons constitute a pivotal biochemical signaling network that reshapes the TME. This regulatory mechanism not only provides direct pro-growth stimuli to tumor cells but also induces highly malignant evolutionary traits by mimicking neurodevelopmental pathways. NLGN3 is currently one of the most extensively studied neuroactivity dependent oncometabolites. In the tumor context, neuronal electrical activity induces the upregulation of the protease ADAM10, which precisely cleaves membrane bound NLGN3, facilitating its shedding into secreted neuroligin-3 (sNLGN3) released into the microenvironment<sup>[<xref ref-type="bibr" rid="B107">107</xref>]</sup>. Once secreted, sNLGN3 binds to receptors on tumor cells, significantly accelerating the proliferation and infiltration of malignancies such as gliomas by potently activating canonical oncogenic pathways including PI3K-mTOR, and ERK<sup>[<xref ref-type="bibr" rid="B108">108</xref>]</sup>. Of particular importance, this interaction often evolves into a vicious feedback loop. The PI3K pathway activated within tumors can further induce tumor cells themselves to express NLGN3, thereby continuously reinforcing their survival advantage through an autocrine mode<sup>[<xref ref-type="bibr" rid="B109">109</xref>]</sup>. In glioma, BDNF-TrkB signaling contributes to activity-dependent synaptic plasticity and may strengthen the functional integration of malignant cells with surrounding neural circuits. This synaptic role should be distinguished from the broader prosurvival effects of BDNF-TrkB signaling reported in other cancer-cell systems<sup>[<xref ref-type="bibr" rid="B110">110</xref>]</sup>. This mechanism essentially represents tumor cells hijacking the brain’s learning and memory plasticity machinery. By strengthening electrophysiological connections with neural circuits, tumors secure sustained nutritional support and immune evasion capabilities. Furthermore, insulin-like growth factor-1 reveals the initiating mechanisms by which external environmental stimuli drive tumorigenesis through neuro paracrine signaling<sup>[<xref ref-type="bibr" rid="B111">111</xref>]</sup>. Notably, microbial metabolites produced via the gut-brain axis have been shown to modulate central levels of factors like BDNF<sup>[<xref ref-type="bibr" rid="B112">112</xref>]</sup>. This suggests that distal signals from the gut may indirectly determine the susceptibility and progression rate of central nervous system tumors by regulating the abundance of neural paracrine factors.</p>
        </sec>
        <sec id="sec5-1-4">
          <title>Neuro-immune-tumor pathway</title>
          <p>The influence of the nervous system on tumor progression transcends direct physical contact or chemical stimulation, extending profoundly into the systemic remodeling and precise modulation of the TIME.</p>
          <p>Remodeling of the TIME<break/>Within the framework of the gut-neuro-tumor signaling feedback, the systemic remodeling of the immunosuppressive environment is not merely a byproduct of neuroactivity, but rather a core mechanism by which the nervous system precisely modulates the TIME. Specifically, the SNS plays a major driving role in this remodeling process. NE released from SNS nerve terminals binds to β<sub>2</sub>-adrenergic receptor (β<sub>2</sub>-AR) on immune cells<sup>[<xref ref-type="bibr" rid="B51">51</xref>]</sup>. This interaction activates the cyclic adenosine monophosphate (cAMP)- protein kinase A (PKA) signaling pathway, thereby significantly inducing the recruitment and functional enhancement of MDSCs, as well as driving the polarization of TAMs toward a pro-tumoral M2 phenotype<sup>[<xref ref-type="bibr" rid="B113">113</xref>]</sup>. Furthermore, neuropeptides secreted by sensory neurons play an indispensable role in shaping this immunosuppressive landscape. This neuro immune interplay is ultimately unified within the macro-context of the gut-brain axis. Gut microbiota and their metabolites, by regulating systemic immune homeostasis, can induce the differentiation of forkhead box P3 (Foxp3+) Tregs, thereby supporting or suppressing local immune remodeling at a systemic level<sup>[<xref ref-type="bibr" rid="B114">114</xref>]</sup>. Concurrently, upon receiving gut derived signals, the CNS releases glucocorticoids via the hypothalamic-pituitary-adrenal (HPA) axis<sup>[<xref ref-type="bibr" rid="B115">115</xref>]</sup>. These hormones further synergize with sympathetic signals to suppress both innate and adaptive immune responses<sup>[<xref ref-type="bibr" rid="B116">116</xref>]</sup>. Therefore, the neural remodeling of the immunosuppressive milieu is a multi-tiered process. It weaves together the biochemical signals from gut microbiota, the electrophysiological signals from peripheral nerves, and the reconstructed local immune boundaries.</p>
          <p>Parasympathetic/vagal immune regulation<break/>Within the regulatory framework of the gut-neuro-tumor signaling feedback, the parasympathetic nervous system plays a pivotal inhibitory role in maintaining immune homeostasis within the TME via neuro-immune reflex circuits. ACh, the primary neurotransmitter released by vagal efferent fibers, binds to alpha-subunit of acetylcholine receptor (α-AChR) on the surface of myeloid immune cells<sup>[<xref ref-type="bibr" rid="B117">117</xref>]</sup>. This interaction activates the cholinergic anti-inflammatory pathway, significantly suppressing the production and release of pro-inflammatory cytokines, including tumor necrosis factor-alpha (TNF-α), IL-1β, interleukin-6 (IL-6), and IL-18<sup>[<xref ref-type="bibr" rid="B118">118</xref>]</sup>. This top and down immunomodulatory mechanism not only alleviates the chronic inflammatory milieu that drives tumor progression but also reshapes the immune cell landscape within the TME. In pancreatic cancer, cholinergic signaling exhibits significant anti-tumor activity by reducing the pro-tumoral polarization of TAMs and diminishing cancer stem cell phenotypes<sup>[<xref ref-type="bibr" rid="B119">119</xref>]</sup>. However, the contribution of vagal signaling to host immune defense is most intuitively demonstrated in ablation studies. In pancreatic ductal adenocarcinoma (PDAC) models, surgical vagotomy leads directly to increase CD8<sup>+</sup> T cell infiltration, an imbalance in helper T cell ratios, and aberrant activation of macrophage-mediated inflammatory signaling pathways<sup>[<xref ref-type="bibr" rid="B120">120</xref>,<xref ref-type="bibr" rid="B121">121</xref>]</sup>. This systemic impairment of immune surveillance not only lifts the suppression on tumor growth but also accelerates early lesion onset and migration, ultimately significantly shortening survival. This negative feedback mechanism within the neuro-immune-tumor axis reveals that metabolites produced by gut microbiota may trigger central responses via vagal afferent fibers, which then achieve remote fine-tuning of the local tumor immune landscape via vagal efferent fibers and cholinergic pathways. It is worth noting that this immunomodulatory role of the vagus nerve is highly tissue-specific. Although it manifests as an anti-tumor effect in pancreatic cancer, cholinergic signaling may conversely promote tumor cell proliferation by activating the M3R/Wnt signaling pathway in gastric cancer<sup>[<xref ref-type="bibr" rid="B122">122</xref>]</sup>.</p>
        </sec>
        <sec id="sec5-1-5">
          <title>Tumor-mediated regulation of the gut and nervous system</title>
          <p>Within the gut-neuro-tumor signaling feedback, tumors are not merely passive recipients of microbial and neural signals. Instead, they actively reshape this cross-system network through two complementary mechanisms. Locally, tumors promote neoneurogenesis and PNI by recruiting and remodeling peripheral nerves. Systemically, tumors disturb brain activity, activate the HPA axis, and impair intestinal and microbial homeostasis. Together, these local and systemic feedback routes reinforce tumor progression, immune dysregulation, and therapeutic resistance.</p>
          <p>Neoneurogenesis and perineural invasion<break/>Within the dynamic interplay of the gut-neuro-tumor signaling feedback, tumors are not merely passive recipients of signals. Instead, they actively reshape the local microenvironment and accelerate their malignant progression by inducing neoneurogenesis and PNI. This process often begins with the tumor’s targeted recruitment of the nervous system. Through paracrine signaling, tumor cells secrete a variety of neurotrophic factors, including NGF, BDNF, and glial cell line-derived neurotrophic factor (GDNF)<sup>[<xref ref-type="bibr" rid="B123">123</xref>]</sup>. Analogous to angiogenic factors, these molecules induce the sprouting of new axons into the tumor mass, resulting in a significant increase in intratumoral nerve fiber density, often several fold higher than in non-tumorous tissues<sup>[<xref ref-type="bibr" rid="B124">124</xref>]</sup>. This active recruitment of nerve fibers provides tumor cells with a unique migratory pathway. During PNI, malignant cells migrate and spread along the nerve sheaths, frequently exhibiting neural tracking behavior<sup>[<xref ref-type="bibr" rid="B125">125</xref>]</sup>. Notably, this process can occur even prior to lymphatic or vascular involvement. Such invasion relies not only on physical contact but also involves the formation of a specialized perineural niche. Within this unique biochemical microenvironment, invading tumor cells disrupt the perineurium, triggering a cascade of inflammatory cytokines that further promote both neural remodeling and tumor cell survival<sup>[<xref ref-type="bibr" rid="B126">126</xref>,<xref ref-type="bibr" rid="B127">127</xref>]</sup>. Collectively, neoneurogenesis and perineural invasion establish a local positive feedback loop in which tumors recruit and remodel neural structures, while the resulting neural inputs further support tumor survival, invasion, and immune evasion. Beyond this local neural remodeling, tumors can also perturb central neuroendocrine regulation and intestinal homeostasis, as discussed in the following subsection.</p>
          <p>Tumor-induced disruption<break/>Tumors do not merely respond to neural signals but can actively disrupt central nervous system function and its homeostatic communication with the gut. At the local level, glioma cells release excessive amounts of excitatory neurotransmitters, particularly glutamate, resulting in markedly elevated extracellular glutamate concentrations in the peritumoral region and increased excitability of surrounding neurons<sup>[<xref ref-type="bibr" rid="B128">128</xref>]</sup>. This neuronal hyperexcitability constitutes an important mechanism underlying tumor-associated epilepsy. At the systemic level, cancer and cancer-associated psychological or physiological stress can chronically activate the hypothalamic-pituitary-adrenal axis, increasing the release of glucocorticoids and catecholamines<sup>[<xref ref-type="bibr" rid="B129">129</xref>,<xref ref-type="bibr" rid="B130">130</xref>]</sup>. Persistent HPA-axis activation subsequently alters gastrointestinal motility, mucosal secretion, immune regulation, and epithelial barrier integrity through descending neuroendocrine and autonomic pathways<sup>[<xref ref-type="bibr" rid="B131">131</xref>]</sup>. These changes can disrupt gut microbial homeostasis, typically reducing the abundance of short-chain fatty acid-producing bacteria while favoring the expansion of potentially pathogenic taxa<sup>[<xref ref-type="bibr" rid="B132">132</xref>]</sup>. Barrier impairment may further facilitate the entry of microbial products and inflammatory mediators into the systemic circulation. These circulating signals can aggravate neuroinflammation and reshape the tumor immune microenvironment, thereby feeding back to support tumor progression and immune escape<sup>[<xref ref-type="bibr" rid="B133">133</xref>]</sup>. Consequently, a tumor-initiated process can be amplified through central neuroendocrine signaling and gut dyshomeostasis before returning to the TME. This forms a self-reinforcing systemic feedback loop that extends the biological effects of a localized tumor beyond its primary anatomical site.</p>
        </sec>
        <sec id="sec5-1-6">
          <title>Gut-tumor microbiota</title>
          <p>The gut-tumor microbiota axis constitutes the cutting edge of research into the TME, revealing profound spatial coupling and functional synergy between the intestinal ecosystem and spatially segregated neoplastic tissues. At the core of this axis lies the mechanism by which gut microbiota, serving as a primary reservoir, undergo translocation and establish colonization within tumor sites through diverse biological pathways.</p>
          <p>Intratumoral bacteria<break/>In <xref ref-type="table" rid="t3">Table 3</xref>, within the dynamic interplay of the gut-neuro-tumor signaling feedback, microbial translocation is not merely the material basis for biochemical signal transduction but also the spatial prerequisite for the evolution of gut commensals into intratumoral microbiota. The gut, serving as the body’s largest microbial reservoir, allows its microbiota to cross anatomical boundaries under pathological conditions. These microbes migrate to distal tumor sites via barrier injury, systemic circulation, and anatomical retrograde pathways<sup>[<xref ref-type="bibr" rid="B134">134</xref>]</sup>. This spatial relocation of microbes ultimately establishes a distinct colonization pattern within the tumor locale. The TME, characterized by hypoxia, nutrient enrichment, and immunosuppression, provides an ideal niche for these translocated microbes<sup>[<xref ref-type="bibr" rid="B135">135</xref>]</sup>. They are able to persist in an intracellular manner, residing within the cytoplasm of either tumor cells or immune cells. These colonized intratumoral bacteria are not passive bystanders. By producing metabolites, inducing host DNA damage, and activating oncogenic pathways, they actively participate in shaping the TME<sup>[<xref ref-type="bibr" rid="B136">136</xref>]</sup>.</p>
          <table-wrap id="t3">
        <label>Table 3</label>
        <caption>
          <p>Common tumor types and the role of intratumoral bacteria</p>
        </caption>
        <table frame="hsides" rules="groups">
          <thead>
            <tr>
              <td style="border-bottom:1;">
                <bold>Cancer</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Microbiota</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Effect in tumor</bold>
              </td>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td>Colorectal cancer</td>
              <td>
                <italic>Fusobacterium nucleatum</italic>, <italic>Bacteroides fragilis</italic>, <italic>Peptostreptococcus anaerobius</italic>, <italic>Providencia</italic>, <italic>Firmicutes</italic>, <italic>Bifidobacterium pseudolongum</italic>, <italic>Parvimonas micra</italic>, <italic>Prevotella</italic>, <italic>etc.</italic></td>
              <td>• Produces colibactin and CagA, disrupting WNT, ATM signaling pathways of host cell, and promotes tumor progression: interacts with the TME to enhance tumor growth;</td>
            </tr>
            <tr>
              <td>Gastric cancer</td>
              <td>
                <italic>Helicobacter pylori</italic>, <italic>Lactobacillus</italic>, <italic>Prevotella</italic>, <italic>Bacteroidetes</italic>, Proteobacteria, <italic>etc.</italic></td>
              <td>• <italic>H. pylori</italic> infection is a major risk factor for gastric cancer and triggers chronic inflammation through virulence factors such as CagA, promoting gastric cancer development;</td>
            </tr>
            <tr>
              <td>Breast cancer</td>
              <td>
                <italic>Staphylococcus epidermidis</italic>, <italic>Streptococcus agalactiae</italic>, <italic>Lactobacillus</italic>, <italic>Corynebacterium</italic>, <italic>Fusobacterium nucleatum</italic>, <italic>Butyricimonas</italic>, <italic>Sphingomonas</italic>, <italic>etc.</italic></td>
              <td>• <italic>Bacillus</italic>, <italic>Enterobacteriaceae</italic>, and <italic>Staphylococcus</italic> possess DNA-damaging capabilities, Beneficial bacteria such as Lactobacillus exhibit anti-cancer properties and Lactobacillus promotes an immunosuppressive microenvironment, influencing tumor progression;</td>
            </tr>
            <tr>
              <td>Lung cancer</td>
              <td>
                <italic>Brevundimonas</italic>, <italic>Pseudomonas</italic>, <italic>Acinetobacter</italic>, <italic>Streptococcus</italic>, <italic>Corynebacterium</italic>, <italic>Lachnoanaerobaculum</italic>, <italic>Halomonas</italic>, <italic>etc.</italic></td>
              <td>• Promotes chronic inflammation through IL-6/STAT3 pathway and modulates tumor-associated macrophages;</td>
            </tr>
            <tr>
              <td>Pancreatic ductal adenocarcinoma</td>
              <td>
                <italic>Gammaproteobacteria</italic>, Malassezia spp, <italic>Fusobacterium nucleatum</italic>, <italic>Granulicatella adiacens</italic>, <italic>Acidovorax ebreus</italic>, <italic>Acinetobacter baumannii</italic>, <italic>Geobacillus kaustophilus</italic>, <italic>Escherichia coli</italic>, <italic>Granulicatella adiacens</italic>, <italic>Acinetobacter</italic>, <italic>Pseudomonas</italic>, <italic>Sphingopyxis</italic>, <italic>etc.</italic></td>
              <td>mediates gemcitabine inactivation through bacterial cytidine deaminase and promotes immune suppression via TLR and Dectin-1 signaling;</td>
            </tr>
            <tr>
              <td>Prostate cancer</td>
              <td>
                <italic>Propionibacterium acnes</italic>, <italic>Escherichia coli</italic>, <italic>Escherichia</italic>, <italic>Propionibacterium</italic>, <italic>Acinetobacter</italic>, <italic>Pseudomonas</italic>, <italic>etc.</italic></td>
              <td>induces chronic prostatitis and DNA damage, activates IL-6/STAT3 pathway contributing to tumor growth;</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>CagA: cytotoxin-associated gene A protein; WNT: Wingless-related integration site signaling pathway; ATM: ataxia telangiectasia mutated kinase; TME: tumor microenvironment; IL-6: interleukin-6; STAT3: signal transducer and activator of transcription 3; TLR: Toll-like receptor.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
          <p>Direct mechanisms<break/>Some microbial products directly induce genomic instability or activate oncogenic signaling, whereas others modulate antitumor immunity, epithelial barrier integrity, or treatment responsiveness<sup>[<xref ref-type="bibr" rid="B137">137</xref>]</sup>. Beyond such direct genotoxic injury, microbes drive the evolution of the malignant phenotype by precisely hijacking the host’s pre-existing signaling networks<sup>[<xref ref-type="bibr" rid="B138">138</xref>]</sup>. In this regard, the aberrant activation of the Wnt/β-catenin pathway is considered a key pathological mechanism<sup>[<xref ref-type="bibr" rid="B139">139</xref>]</sup>. This multidimensional mechanism, ranging from physical damage to the systematic subversion of oncogenic signaling, transforms microbes from mere biological bystanders into co-drivers of tumor initiation and progression. As summarized in <xref ref-type="table" rid="t4">Table 4</xref>, microbiota-derived metabolites, structural components, virulence factors, and other bioactive products can exert either tumor-promoting or tumor-suppressive effects. These effects are highly dependent on the chemical identity of the microbial product, its concentration, the host and tumor context, and the experimental model. They thus constitute a critical cornerstone of biochemical communication within the gut-neuro-tumor signaling feedback.</p>
         <table-wrap id="t4">
        <label>Table 4</label>
        <caption>
          <p>Representative microbiota-derived metabolites, microbial structural components, virulence factors, and bioactive products affecting tumor biology</p>
        </caption>
        <table frame="hsides" rules="groups">
          <thead>
            <tr>
              <td style="border-bottom:1;">
                <bold>Class of microbial product</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Metabolites</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Microorganisms</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Functions</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Refs</bold>
              </td>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td rowspan="6">Amino acid derivative</td>
              <td>Taurine</td>
              <td>Deltaproteobacteria;</td>
              <td>• Regulates the activity of NLRP6 in intestinal epithelial cells and maintaining intestinal microbial homeostasis and ameliorating colitis;</td>
              <td>[<xref ref-type="bibr" rid="B140">140</xref>]</td>
            </tr>
            <tr>
              <td>Hippurate</td>
              <td>increased in association with a <italic>Bifidobacterium</italic>-enriched microbiota;</td>
              <td>• Enhances NK-cell-dependent antitumor immunity in a high-salt diet mouse model under IFN-γ-associated conditions;</td>
              <td>[<xref ref-type="bibr" rid="B141">141</xref>]</td>
            </tr>
            <tr>
              <td>GABA</td>
              <td>
                <italic>Bacteroides</italic>, <italic>Lactobacillus</italic>, <italic>Bifidobacterium</italic>, <italic>Parabacterium</italic>;</td>
              <td>• Regulates the ability of multiple immune cells to kill tumors by modulating gut-brain axis;</td>
              <td>[<xref ref-type="bibr" rid="B142">142</xref>,<xref ref-type="bibr" rid="B143">143</xref>]</td>
            </tr>
            <tr>
              <td>S-adenosylmethionine</td>
              <td>
                <italic>Saccharomyces cerevisiae</italic>, <italic>Pichia pastoris</italic>, <italic>Candida utilis</italic>, <italic>Escherichia coli</italic>;</td>
              <td>• S-adenosylmethionine participates in tumor and immune-cell methyl-donor metabolism, and its effects are tumor- and dose-dependent, with available studies reporting modulation of CD8<sup>+</sup> T-cell function and antiproliferative effects in selected prostate and liver cancer models;</td>
              <td>[<xref ref-type="bibr" rid="B144">144</xref>-<xref ref-type="bibr" rid="B147">147</xref>]</td>
            </tr>
            <tr>
              <td>Kynurenic acid</td>
              <td>
                <italic>Lachnospiraceae</italic>, <italic>Enterococcaceae</italic>;</td>
              <td>• Blocks the proliferation of colon cancer cells by inhibiting MAPK and PI3K-Akt signaling pathways, provides long-term radioprotection and reduces proinflammatory responses;</td>
              <td>[<xref ref-type="bibr" rid="B148">148</xref>-<xref ref-type="bibr" rid="B150">150</xref>]</td>
            </tr>
            <tr>
              <td>histamine</td>
              <td>
                <italic>Klebsiella aerogenes</italic>;</td>
              <td>• Disrupts the NLRP6-IL-18-AMP axis and thus exacerbating colitis;</td>
              <td>[<xref ref-type="bibr" rid="B140">140</xref>]</td>
            </tr>
            <tr>
              <td rowspan="5">Tryptophan</td>
              <td>indole</td>
              <td>
                <italic>Escherichia coli</italic>, <italic>Bacteroides thetaiotaomicron</italic>, <italic>Bacteroides ovatus</italic>, <italic>C. limosum</italic>;</td>
              <td>• Suppress inflammation, fix abdominal wall structures, AhR ligands;</td>
              <td>[<xref ref-type="bibr" rid="B151">151</xref>-<xref ref-type="bibr" rid="B153">153</xref>]</td>
            </tr>
            <tr>
              <td>IAA</td>
              <td>
                <italic>Bacteroides ovatus</italic>, <italic>Bacteroides fragilis</italic>, <italic>Escherichia coli</italic>;</td>
              <td>• Suppress inflammation, fix abdominal wall structures, AhR ligands;</td>
              <td>[<xref ref-type="bibr" rid="B154">154</xref>-<xref ref-type="bibr" rid="B158">158</xref>]</td>
            </tr>
            <tr>
              <td>TMAO</td>
              <td>
                <italic>Enterobacteriaceae</italic>, <italic>Clostridiales</italic>;</td>
              <td>• Promotes the proliferation of HCT116 cells;</td>
              <td>[<xref ref-type="bibr" rid="B159">159</xref>,<xref ref-type="bibr" rid="B160">160</xref>]</td>
            </tr>
            <tr>
              <td>3-IAld</td>
              <td>
                <italic>Lactobacillus reuteri</italic>;</td>
              <td>• Provides long-term radioprotection and prevents intestinal damage triggered by ICB therapy, enhances the effect of immunotherapy for pancreatic cancer and triple-negative breast cancer;</td>
              <td>[<xref ref-type="bibr" rid="B161">161</xref>,<xref ref-type="bibr" rid="B162">162</xref>]</td>
            </tr>
            <tr>
              <td>IPA</td>
              <td>
                <italic>Clostridium sporogenes</italic>;</td>
              <td>• Promotes the development of non-alcoholic fatty liver disease-associated hepatocellular carcinoma;</td>
              <td />
            </tr>
            <tr>
              <td rowspan="4">Virulence factors</td>
              <td>FadA</td>
              <td>
                <italic>Fusobacterium nucleatum</italic>;</td>
              <td>• Mediates adhesion and invasion of epithelial and endothelial cells;</td>
              <td>[<xref ref-type="bibr" rid="B163">163</xref>-<xref ref-type="bibr" rid="B165">165</xref>]</td>
            </tr>
            <tr>
              <td>Fap2</td>
              <td>
                <italic>Fusobacterium nucleatum</italic>;</td>
              <td>• Immunity, binds to Gal-GalNAc;</td>
              <td>[<xref ref-type="bibr" rid="B166">166</xref>-<xref ref-type="bibr" rid="B168">168</xref>]</td>
            </tr>
            <tr>
              <td>LPS</td>
              <td>
                <italic>Gram-negative bacteria</italic>;</td>
              <td>• promotes cancer progression by activating TLR4 signaling that induces inflammation;</td>
              <td>[<xref ref-type="bibr" rid="B169">169</xref>,<xref ref-type="bibr" rid="B170">170</xref>]</td>
            </tr>
            <tr>
              <td>MDP, GMDP</td>
              <td>
                <italic>Enterococcus faecalis</italic>;</td>
              <td>• Activate immune system by binding to NOD2 on the surface of immune cells and activating NF-κB signaling</td>
              <td>[<xref ref-type="bibr" rid="B171">171</xref>,<xref ref-type="bibr" rid="B172">172</xref>]</td>
            </tr>
            <tr>
              <td rowspan="3">BAs</td>
              <td>DCA</td>
              <td>
                <italic>Clostridium hiranonis</italic>, <italic>Clostridium hylemonae</italic>, <italic>Clostridium sordellii</italic>, <italic>Clostridium scindens</italic>, <italic>Bacteroides</italic>;</td>
              <td>• Promotes EMT and the formation of vasculogenic mimicry in cancer;</td>
              <td>[<xref ref-type="bibr" rid="B173">173</xref>,<xref ref-type="bibr" rid="B174">174</xref>]</td>
            </tr>
            <tr>
              <td>LCA</td>
              <td>
                <italic>Bacteroides</italic>, Eubacterium, Escherichia, <italic>Lactobacillus</italic>, <italic>Clostridium hiranonis</italic>, <italic>Clostridium hylemonae</italic>, <italic>Clostridium sordellii</italic>, <italic>Clostridium scindens</italic>;</td>
              <td>• In colorectal cancer cells, LCA can induce IL-8 and miR-21-associated PTEN suppression through ERK/STAT3-related signaling;<break />• In selected breast cancer and nephroblastoma cell models, LCA has been reported to inhibit lipogenesis or induce apoptosis;</td>
              <td>[<xref ref-type="bibr" rid="B174">174</xref>-<xref ref-type="bibr" rid="B178">178</xref>]</td>
            </tr>
            <tr>
              <td>UDCA</td>
              <td>
                <italic>Clostridium</italic>, <italic>Parabacteroides distasonis</italic>;</td>
              <td>• Prevents colon cancer progression by inhibiting NF-κB signaling and suppressing the upregulation of Cox-2;</td>
              <td>[<xref ref-type="bibr" rid="B179">179</xref>,<xref ref-type="bibr" rid="B180">180</xref>]</td>
            </tr>
            <tr>
              <td rowspan="2">SCFAs</td>
              <td>Acetate</td>
              <td>Bacteroides. Hydrogenotrophica, <italic>M ethanobrevibacter smithii</italic>, <italic>Ruminococcus gnavus</italic>;</td>
              <td rowspan="2">• Suppress the proliferation and induce apoptosis of tumor, especially the colon cancer, mainly through activating G-protein coupled receptors and inhibiting histone deacetylases, AhR signaling, cancer stemness, inflammation;<break />• Butyrate supports intestinal barrier integrity through HIF-dependent mechanisms and can suppress colonic inflammation and its direct antitumor effects depend on tumor genotype, concentration, and metabolic context;</td>
              <td>[<xref ref-type="bibr" rid="B181">181</xref>-<xref ref-type="bibr" rid="B183">183</xref>]</td>
            </tr>
            <tr>
              <td>Butyrate</td>
              <td>Roseburia intestinalis, Butyrivibriocrossotus, <italic>Faecalibacterium cf. prausnitzii</italic>;</td>
              <td>[<xref ref-type="bibr" rid="B184">184</xref>,<xref ref-type="bibr" rid="B185">185</xref>]</td>
            </tr>
            <tr>
              <td>Aldehydes</td>
              <td>Reuterin</td>
              <td>
                <italic>Lactobacillus reuteri</italic>;</td>
              <td>• Restricts colon tumor growth by inducing oxidative stress and inhibiting protein translation;</td>
              <td>[<xref ref-type="bibr" rid="B186">186</xref>]</td>
            </tr>
            <tr>
              <td>Purine nucleoside</td>
              <td>Inosine</td>
              <td>
                <italic>Bifidobacterium pseudolongum</italic>;</td>
              <td>• Inhibits UBA6 to augment the immunogenicity of tumors and promotes Th1 differentiation in the existence of exogenous IFN-γ;</td>
              <td>[<xref ref-type="bibr" rid="B187">187</xref>,<xref ref-type="bibr" rid="B188">188</xref>]</td>
            </tr>
            <tr>
              <td>Tryptophan metabolite</td>
              <td>Kynurenic acid</td>
              <td>
                <italic>Lachnospiraceae</italic>, <italic>Enterococcaceae</italic>;</td>
              <td>• Blocks the proliferation of colon cancer by inhibiting MAPK and PI3K-Akt signaling pathways, provides long-term radioprotection and reduces proinflammatory responses;</td>
              <td>[<xref ref-type="bibr" rid="B189">189</xref>]</td>
            </tr>
            <tr>
              <td>Antibiotic</td>
              <td>Manumycin A</td>
              <td>
                <italic>Streptomyces sp.</italic>;</td>
              <td>• Prevents cancer progression by inhibiting Ras farnesylation and the biosynthesis and secretion of exosomes;</td>
              <td>[<xref ref-type="bibr" rid="B190">190</xref>-<xref ref-type="bibr" rid="B192">192</xref>]</td>
            </tr>
            <tr>
              <td>Ellagitannin-derived phenolic metabolite</td>
              <td>Urolithin A</td>
              <td>
                <italic>Enterococcus faecium</italic> FUA027 converts ellagic acid into UA</td>
              <td>• UA suppresses PI3K/AKT/mTOR signaling and inhibits pancreatic cancer growth;</td>
              <td>[<xref ref-type="bibr" rid="B193">193</xref>,<xref ref-type="bibr" rid="B194">194</xref>]</td>
            </tr>
            <tr>
              <td>daidzein</td>
              <td>S-equol</td>
              <td>
                <italic>Lactococcus garvieae</italic>;</td>
              <td>• Prevents the proliferation of human breast cancer MCF-7 cells by up-regulating miR-10a-5p;</td>
              <td>[<xref ref-type="bibr" rid="B195">195</xref>]</td>
            </tr>
            <tr>
              <td>Microbiota-derived gallic acid</td>
              <td>Specific producer not assigned unless directly demonstrated</td>
              <td>In defined intestinal contexts, gallic acid can convert particular mutant p53 proteins from tumor-suppressive to oncogenic activity;</td>
              <td>• Promotes cancer progression by switching mutant p53 from tumor-suppressive to oncogenic;</td>
              <td>[<xref ref-type="bibr" rid="B196">196</xref>]</td>
            </tr>
            <tr>
              <td>Vitamin</td>
              <td>niacin</td>
              <td>
                <italic>Lactobacillus</italic>, <italic>Bacteroides xylanisolvens</italic>;</td>
              <td>• Possesses both pro- and anti-cancer effects that depend on the concentration of niacin;</td>
              <td>[<xref ref-type="bibr" rid="B197">197</xref>]</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>NLRP6: NOD-like receptor family pyrin domain-containing 6; NK: natural killer cell; IFN-γ: interferon-γ; GABA: γ-aminobutyric acid; MAPK: mitogen-activated protein kinase; PI3K: phosphoinositide 3-kinase; AKT: protein kinase B; CD8<sup>+</sup> T cell: CD8-positive T cell; AhR: aryl hydrocarbon receptor; IAA: indole-3-acetic acid; TMAO: trimethylamine N-oxide; 3-IAld: indole-3-aldehyde; IPA: indole-3-propionic acid; ICB: immune checkpoint blockade; FadA: Fusobacterium adhesin A; Fap2: Fusobacterium autotransporter protein 2; Gal-GalNAc: galactose-N-acetylgalactosamine; LPS: lipopolysaccharide; MDP: muramyl dipeptide; GMDP: glucosaminyl muramyl dipeptide; NOD2: nucleotide-binding oligomerization domain-containing protein 2; NF-κB: nuclear factor-κB; TLR4: Toll-like receptor 4; BAs: bile acids; DCA: deoxycholic acid; LCA: lithocholic acid; IL-8: interleukin-8; miR-21: microRNA-21; PTEN: phosphatase and tensin homolog; ERK: extracellular signal-regulated kinase; STAT3: signal transducer and activator of transcription 3; UDCA: ursodeoxycholic acid; COX-2: cyclooxygenase-2; SCFAs: short-chain fatty acids; HIF: hypoxia-inducible factor; UBA6: ubiquitin-like modifier-activating enzyme 6; Th1: T helper 1 cell; Ras: rat sarcoma virus GTPase; UA: urolithin A; mTOR: mechanistic target of rapamycin; MCF-7: Michigan Cancer Foundation-7 human breast cancer cell line; miR-10a-5p: microRNA-10a-5p; p53: tumor protein p53.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
        </sec>
      </sec>
      <sec id="sec5-2">
        <title>Tissue-specific organization and applicability</title>
        <p>The relative contribution of each component of the gut-neuro-tumor signaling feedback varies substantially across tumor types and anatomical sites. No individual neural, microbial, or immune mechanism should therefore be regarded as universally active in all cancers. Instead, the framework contains broadly recurrent regulatory modules whose activity, direction, and magnitude are determined by tissue-specific innervation, neurotransmitter-receptor expression, microbial composition, stromal architecture, vascular and barrier properties, and the local immune context. Some mechanisms are strongly restricted by anatomical context. Functional electrochemical coupling through AMPAR-mediated neuron-glioma synapses, activity-dependent ADAM10-NLGN3 signaling, tumor microtube networks, and BDNF-TrkB-associated synaptic plasticity has been demonstrated predominantly in glioma<sup>[<xref ref-type="bibr" rid="B110">110</xref>]</sup>. NMDAR-dependent pseudo-tripartite interactions are supported mainly in breast cancer brain-metastasis models<sup>[<xref ref-type="bibr" rid="B103">103</xref>]</sup>. These mechanisms depend on the specialized neural microenvironment of the central nervous system and cannot currently be extrapolated to extracranial tumors. By contrast, autonomic and sensory neurotransmission, neurotrophin-mediated nerve recruitment, perineural invasion, and neuroimmune regulation have been reported across several extracranial malignancies, although their functional consequences remain organ dependent<sup>[<xref ref-type="bibr" rid="B198">198</xref>]</sup>. Cholinergic signaling, for example, may promote cancer stemness and proliferation in gastric and prostate cancer models, whereas parasympathetic or vagal activity has shown antitumor effects in selected breast and pancreatic cancer models<sup>[<xref ref-type="bibr" rid="B199">199</xref>,<xref ref-type="bibr" rid="B200">200</xref>]</sup>. Similarly, sympathetic and sensory signals may act through different receptor populations and immune-cell compositions in different TME. Microbial regulation is also tissue specific. Gastrointestinal tumors are directly exposed to local microbial communities and microbial products, whereas distant tumors may be influenced predominantly through circulating metabolites, systemic immunity, microbial translocation, or treatment-associated changes in gut microbiota. Intratumoral microbial composition also differs among colorectal, gastric, pancreatic, breast, lung, and prostate cancers, resulting in distinct effects on inflammation, metabolism, immune suppression, and therapeutic response. Accordingly, the most broadly shared feature of the proposed framework is not a single molecular pathway but the organizational principle that microbial, neural, immune, and tumor-derived signals can interact bidirectionally. The specific molecular modules involved must be defined separately for each tumor type, disease stage, anatomical site, and experimental model.</p>
      </sec>
    </sec>
    <sec id="sec6">
      <title>INVESTIGATIONAL THERAPEUTIC STRATEGIES AND CLINICAL TRANSLATION</title>
      <p>Targeting the gut-neuro-tumor signaling network represents an emerging area of translational oncology. The interventions summarized in <xref ref-type="table" rid="t5">Table 5</xref> include repurposed neurological or cardiovascular drugs, microbiota-based interventions, live biotherapeutic candidates, microbial vaccines, and antibiotic-based strategies. However, these approaches differ substantially in their stage of development, study objectives, and strength of clinical evidence. Most available data are derived from preclinical studies, observational analyses, phase 0 or phase I studies, small early-phase trials, or exploratory biomarker studies rather than confirmatory randomized clinical trials. Importantly, none of the β-blocker, bethanechol, botulinum toxin, fecal microbiota transplantation, or probiotic/live biotherapeutic strategies listed in <xref ref-type="table" rid="t5">Table 5</xref> is currently approved as an antineoplastic treatment for malignant tumors. Some individual agents have established regulatory approval for non-oncological indications. Similarly, approved fecal microbiota products are indicated for the prevention of recurrent Clostridioides difficile infection and not for cancer treatment. Their use in oncology should therefore be regarded as investigational, repurposed, or adjunctive rather than as established standard-of-care therapy. Early clinical studies nevertheless provide a rationale for continued investigation. Microbiota-directed approaches such as fecal microbiota transplantation (FMT) and selected live biotherapeutic products have been evaluated as potential modifiers of immune-checkpoint inhibitor responsiveness, whereas β-adrenergic blockade and cholinergic modulation have been explored as methods of altering neural and immune signaling within the TME. These findings remain preliminary and should not be interpreted as proof of clinical benefit. Further development requires adequately powered randomized trials, tumor-specific efficacy endpoints, biomarker-guided patient selection, standardized product manufacturing, and systematic evaluation of infection, cardiovascular, autonomic, and immune-related safety risks. Collectively, these studies support the biological plausibility of targeting neural and microbiota-related components of the tumor ecosystem, but they do not yet establish a new standard of cancer care. Registered trials, preliminary response signals, or biomarker changes should not be equated with confirmed improvements in survival or durable tumor control. At present, these interventions should generally be used in oncology only within appropriately designed clinical studies. Future translation will require randomized and adequately powered trials, predefined tumor-specific clinical endpoints, validated predictive biomarkers, standardized intervention protocols, and long-term safety assessment.</p>
      <table-wrap id="t5">
        <label>Table 5</label>
        <caption>
          <p>Selected registered clinical studies evaluating investigational neural- and microbiota-targeted strategies in oncology</p>
        </caption>
        <table frame="hsides" rules="groups">
          <thead>
            <tr>
              <td style="border-bottom:1;">
                <bold>Cancer type</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Combined drugs</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Trials No.</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Trial phase</bold>
              </td>
              <td style="border-bottom:1;">
                <bold>Trial status</bold>
              </td>
            </tr>
          </thead>
          <tbody>
            <tr>
              <td colspan="5">
                <bold>Nervous system</bold>
              </td>
            </tr>
            <tr>
              <td>prostate cancer</td>
              <td>carvedilol</td>
              <td>NCT02944201</td>
              <td>phase 2</td>
              <td>unknown status</td>
            </tr>
            <tr>
              <td>hepatocellular carcinoma</td>
              <td>propranolol and carvedilol</td>
              <td>NCT06233708</td>
              <td>NA</td>
              <td>completed</td>
            </tr>
            <tr>
              <td>malignant soft tissue sarcoma</td>
              <td>propranolol and doxorubicin</td>
              <td>NCT03108300</td>
              <td>phase 2</td>
              <td>unknown status</td>
            </tr>
            <tr>
              <td>pancreatic; hepatocellular; biliary tract cancer</td>
              <td>propranolol, ICIs, and paclitaxel</td>
              <td>NCT05451043</td>
              <td>phase 2</td>
              <td>recruiting</td>
            </tr>
            <tr>
              <td>PDAC</td>
              <td>propranolol</td>
              <td>NCT06145074</td>
              <td>phase 2</td>
              <td>recruiting</td>
            </tr>
            <tr>
              <td>breast cancer</td>
              <td>carvedilol</td>
              <td>NCT02177175</td>
              <td>phase 2</td>
              <td>completed</td>
            </tr>
            <tr>
              <td>breast cancer</td>
              <td>carvedilol</td>
              <td>NCT01724450</td>
              <td>phase 3</td>
              <td>completed</td>
            </tr>
            <tr>
              <td>breast cancer; melanoma</td>
              <td>propranolol</td>
              <td>NCT02013492</td>
              <td>early phase 1</td>
              <td>completed</td>
            </tr>
            <tr>
              <td>prostate cancer</td>
              <td>propranolol</td>
              <td>NCT03152786</td>
              <td>phase 2</td>
              <td>terminated</td>
            </tr>
            <tr>
              <td>advanced melanoma</td>
              <td>propranolol, naltrexone, and ICIs</td>
              <td>NCT05968690</td>
              <td>phase 1</td>
              <td>recruiting</td>
            </tr>
            <tr>
              <td>cancer bone metastases</td>
              <td>tanezumab</td>
              <td>NCT02609828</td>
              <td>phase 3</td>
              <td>completed</td>
            </tr>
            <tr>
              <td>PDAC</td>
              <td>bethanechol</td>
              <td>NCT03572283</td>
              <td>early phase 1</td>
              <td>completed</td>
            </tr>
            <tr>
              <td>prostate cancer</td>
              <td>botulinum toxin</td>
              <td>NCT01520441</td>
              <td>early phase 1</td>
              <td>withdrawn</td>
            </tr>
            <tr>
              <td colspan="5">
                <bold>FMT</bold>
              </td>
            </tr>
            <tr>
              <td>GIT cancers</td>
              <td>FMT with anti-PD-1</td>
              <td>NCT04130763</td>
              <td>phase 1</td>
              <td>completed</td>
            </tr>
            <tr>
              <td>metastatic mesothelioma</td>
              <td>FMT with anti-PD-1 and pembrolizumab therapy</td>
              <td>NCT04056026</td>
              <td>early phase 1</td>
              <td>completed</td>
            </tr>
            <tr>
              <td>advanced melanoma</td>
              <td>FMT with anti-PD-1</td>
              <td>NCT03353402</td>
              <td>phase 1</td>
              <td>unknown status</td>
            </tr>
            <tr>
              <td>advanced melanoma</td>
              <td>FMT with anti-PD-1 and pembrolizumab therapy</td>
              <td>NCT03341143</td>
              <td>phase 2</td>
              <td>active, not recruiting</td>
            </tr>
            <tr>
              <td>advanced melanoma<break /></td>
              <td>FMT with anti-PD-1 and pembrolizumab/nivolumab therapy</td>
              <td>NCT03772899</td>
              <td>phase 1</td>
              <td>active, not recruiting</td>
            </tr>
            <tr>
              <td>RCC</td>
              <td>FMT with anti-CTLA-4, anti-PD-1 and immune-related colitis of<break />ipilimumab/nivolumab therapy</td>
              <td>NCT04163289</td>
              <td>phase 1</td>
              <td>active, not recruiting</td>
            </tr>
            <tr>
              <td colspan="5">
                <bold>Probiotics and investigational live biotherapeutic products</bold>
              </td>
            </tr>
            <tr>
              <td>advanced RCC</td>
              <td>Clostridium butyricum CBM 588 with anti-PD-1 and anti-CTLA-4</td>
              <td>NCT03829111</td>
              <td>phase 1</td>
              <td>completed</td>
            </tr>
            <tr>
              <td>advanced solid tumors</td>
              <td>MRx0518(Enterococcus gallinarum), with anti-PD-1 and pembrolizumab treatment</td>
              <td>NCT03637803</td>
              <td>phase 1</td>
              <td>terminated</td>
            </tr>
            <tr>
              <td>metastatic melanoma</td>
              <td>SER-401 with anti-PD-1, antibiotic(vancomycin) and nivolumab treatment</td>
              <td>NCT03817125</td>
              <td>phase 1b</td>
              <td>NA</td>
            </tr>
            <tr>
              <td>solid tumors</td>
              <td>MET-4 in combination with ICBs;</td>
              <td>NCT03686202</td>
              <td>phase 2/phase 3</td>
              <td>active, not recruiting</td>
            </tr>
            <tr>
              <td>advanced melanoma</td>
              <td>EDP1503(Bifidobacterium spp.) with anti-PD-1 and pembrolizumab;</td>
              <td>NCT03595683</td>
              <td>phase 2</td>
              <td>NA</td>
            </tr>
            <tr>
              <td colspan="5">
                <bold>Vaccines</bold>
              </td>
            </tr>
            <tr>
              <td>nonmuscle-invasive bladdercancer</td>
              <td>Ty21a (typhoid)</td>
              <td>NCT03421236</td>
              <td>phase 1</td>
              <td>completed</td>
            </tr>
            <tr>
              <td>metastatic castration-resistant prostatecancer</td>
              <td>JNJ-64041809 (live attenuated double-deleted Listeria monocytogenes)</td>
              <td>NCT02625857</td>
              <td>phase 1</td>
              <td>completed</td>
            </tr>
            <tr>
              <td>CRC with liver metastasis</td>
              <td>VXM01(live attenuated Salmonella typhimurium carryingVEGFR2)</td>
              <td>NCT02718430</td>
              <td>phase 1</td>
              <td>completed</td>
            </tr>
            <tr>
              <td colspan="5">
                <bold>Antibiotics</bold>
              </td>
            </tr>
            <tr>
              <td>pancreatic adenocarcinoma</td>
              <td>Antibiotics (ciprofloxacinand<break />metronidazole) with pembrolizumab</td>
              <td>NCT03891979</td>
              <td>phase 4</td>
              <td>withdrawn</td>
            </tr>
            <tr>
              <td>Advanced cancer</td>
              <td>Antibiotics (antibacterial, antifungal, antiprotozoal agents)</td>
              <td>NCT02366884</td>
              <td>phase 2</td>
              <td>unknown status</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn>
            <p>NCT: ClinicalTrials.gov identifier; NA: not available; PDAC: pancreatic ductal adenocarcinoma; ICI: immune checkpoint inhibitor; FMT: fecal microbiota transplantation; GIT: gastrointestinal tract; PD-1: programmed cell death protein 1; RCC: renal cell carcinoma; CTLA-4: cytotoxic T-lymphocyte-associated protein 4; CBM588: Clostridium butyricum MIYAIRI 588; MRx0518: Enterococcus gallinarum MRx0518 live biotherapeutic product; SER-401: Firmicutes-enriched oral spore-based microbiome therapeutic; MET-4: microbial ecosystem therapeutic 4; ICB: immune checkpoint blockade; EDP1503: Bifidobacterium animalis subsp. lactis live biotherapeutic product; spp.: species (plural); JNJ-64041809: live attenuated double-deleted Listeria monocytogenes immunotherapy; CRC: colorectal cancer; VXM01: oral live-attenuated Salmonella Typhi-based vaccine encoding vascular endothelial growth factor receptor 2; VEGFR2: vascular endothelial growth factor receptor 2.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec id="sec7">
      <title>CONCLUSION AND PROSPECTS</title>
      <sec id="sec7-1">
        <title>Conclusion</title>
        <p>Conceptually, the gut-neuro-tumor signaling feedback should not be viewed as a linear signaling cascade, but rather as a dynamic control system composed of distributed regulatory nodes spanning the microbiota, neural circuits, and the TME. Within this conceptual framework, the nervous system is proposed to function as a context-dependent intermediary that may integrate, filter, and spatially redistribute selected microbial and immune signals. Although the individual microbiota-neural, neural-tumor, and tumor-host interactions are supported by experimental evidence, their organization into a unified hierarchical cascade remains to be directly validated. The gut microbiome directly or indirectly impacts neural activity and neurotransmitter balance through the production of metabolites like SCFAs, bile acids, and tryptophan derivatives. These microbial metabolites also affect immune cell function and stromal TME states. Conversely, the nervous system can also adjust gut microbiota configuration via autonomic and neuropeptide signaling forming a bidirectional regulatory loop. Tumors, however, are not passive. They modulate this axis by releasing inflammatory mediators, facilitating dysbiosis and for increased neural remodeling, in turn impacting the tumorigenic milieu with enhanced immunosuppression, metabolic alterations and treatment resistance. This framework provides a mechanistic explanation for the context dependent and often paradoxical effects of microbial metabolites, neurotransmitters, and stress-related factors in cancer, and highlights why targeting a single molecular pathway frequently yields limited therapeutic benefit. Thus, the principal conceptual contribution of this framework is the definition of a closed regulatory loop rather than another pairwise biological axis. It links microbial signal generation, neural information processing, tumor microenvironmental remodeling, and tumor-driven systemic feedback within a single mechanistic architecture. This model further generates testable predictions: the biological effect of a microbial signal should depend on its neural processing context, tumors with different innervation patterns may respond differently to the same microbial input, and effective intervention may require simultaneous or sequential modulation of more than one regulatory node. Importantly, the individual components of this framework are not uniformly established across cancer types. Direct electrochemical coupling through AMPAR or NMDAR, activity-dependent NLGN3 signaling, tumor microtube networks, and BDNF-TrkB-associated synaptic plasticity are supported predominantly by studies of glioma and selected brain metastases. In extracranial solid tumors, the evidence more commonly concerns autonomic and sensory neurotransmission, neuroimmune regulation, neurotrophin-driven innervation, and perineural invasion. The gut-neuro-tumor signaling feedback should therefore be regarded as a modular, context-dependent, and hypothesis-generating framework rather than an assertion that every molecular module operates in every solid tumor. In this context, shared refers to recurrent organizational principles, such as bidirectional signaling, neural modulation of immune or stromal cells, and microbial regulation through metabolites or systemic immunity. It does not imply that identical neurotransmitters, receptors, microbial taxa, or downstream pathways are present in every tumor. Tumor-specific implementation of the framework is determined by anatomical innervation, tissue-resident cell populations, receptor availability, microbial ecology, and the evolving immune and metabolic state of the TME. Accordingly, the gut-neuro-tumor signaling feedback should be interpreted as a hypothesis-generating framework that organizes currently fragmented evidence and produces experimentally testable predictions, rather than as a fully demonstrated universal signaling pathway.</p>
      </sec>
      <sec id="sec7-2">
        <title>Future experimental strategies</title>
        <p>Validation of the proposed gut-neuro-tumor signaling feedback requires experimental designs that distinguish direct microbiota-tumor effects from neural-mediated effects and establish temporal and causal relationships among the different compartments. A stepwise strategy should combine controlled microbial perturbation, selective neural manipulation, tumor-type-specific models, and spatially resolved molecular analyses. Firstly, the contribution of the microbiota can be examined using germ-free, antibiotic-depleted, and gnotobiotic animals. Germ-free models provide a stringent approach for testing microbiota dependence, although their developmental, immune, and neurological abnormalities may complicate interpretation. These models should therefore be complemented by antibiotic depletion, recolonization with defined microbial consortia, monoassociation with candidate strains, or supplementation with specific microbial metabolites. FMT from tumor-bearing, treatment-responsive, or treatment-resistant donors can test whether a phenotype is transferable, whereas reciprocal FMT and metabolite-rescue experiments can help distinguish community-level effects from those mediated by individual microbial products. And most importantly, neural mediation should be tested through selective interruption or manipulation of candidate neural pathways. Surgical or chemical vagotomy can assess the contribution of vagal signaling, but its effects on intestinal motility, barrier function, and systemic inflammation require sham-operated and physiological controls. More selective approaches, including branch-specific vagotomy, sympathetic or sensory denervation, receptor blockade, chemogenetic or optogenetic manipulation, neural tracing, electrophysiological recording, and calcium imaging, may provide greater anatomical and functional resolution. A causal neural intermediary would be supported when disruption of a defined neural pathway attenuates the effect of a microbial perturbation on tumor growth, immunity, or therapeutic response. In the meantime, validation should use orthotopic, spontaneous, or genetically engineered tumor models that preserve tissue-specific innervation and immune architecture. Factorial experimental designs combining microbiota manipulation and neural intervention are particularly important. Spatial transcriptomics, single-cell RNA sequencing, single-cell chromatin profiling, multiplex immunofluorescence, spatial metabolomics, and microbial localization techniques can subsequently define where microbial, neural, immune, and tumor signals converge. These analyses should be paired with direct functional measurements because receptor expression or transcriptional signatures alone do not demonstrate neural activity or signal transmission. Finally, longitudinal integration of metagenomics, metabolomics, proteomics, neural-activity measurements, immune profiling, and tumor phenotyping will be required to establish temporal ordering. Multi-omics associations alone remain correlative and should therefore be combined with perturbation, rescue, and causal-mediation analyses. The strongest support for the proposed framework would require three linked observations: a defined microbial perturbation alters neural activity and tumor behavior, selective neural interruption reduces or abolishes the tumor effect, and microbial recolonization or metabolite rescue restores the phenotype.</p>
      </sec>
      <sec id="sec7-3">
        <title>Prospects</title>
        <p>In addition to offering a conceptual roadmap for linking host microbiota and neural circuitry with the TME, this route represents a multicomponent, druggable system to model the emergence of next stage precision oncology paradigms. In contrast to classical tumor intrinsic targets, the axis comprises a series of hierarchical and spatially separated regulatory nodes that couple microbial metabolites, neurotransmitter receptors, neural circuits, and immune effector pathways in an integrated manner to control tumor behavior in a context dependent fashion. This compositional modularity allows the therapeutic targeting of individual levels along the axis, and thus, therapy can be personalized based on tumor type, neural innervation patterns, microbial composition and host immune status. Of particular note, it is now apparent that effective modulation of this axis need not involve complete inhibition of the pathway but simply recalibration of signal strength, temporal dynamics, and the appropriate target cell. For instance, microorganism metabolite derived interventions might recalibrate neural and immune signaling in ways that do not reach the tumor cells while neuronal modulatory interventions like β adrenergic inhibition or vagal nerve regulation may reprogram the tumor immune milieu rendering it more responsive to immunotherapy. These characteristics make the gut-neuro-tumor signaling feedback unique from classic oncogenic signaling pathways and support its investigation as a potential platform for context-specific interventions, although comparative efficacy and systemic safety remain to be established. From a translational point of view, the further therapeutic exploitation of this axis is expected to be based on integrative patient stratification approaches that entail the simultaneous profiling of microbiome composition with neural activity signature and immune phenotyping. One such strategy could be determining the most dominant regulatory nodes in individual tumors and direct rational combination therapies that concurrently target microbial, neural and immune elements. Several limitations currently restrict validation of the proposed hierarchy. Most studies examine only one or two compartments of the network, use different tumor types and experimental conditions, and measure microbial, neural, immune, and tumor responses at separate time points. Neural activity is also frequently inferred from neurotransmitter levels or receptor expression rather than measured directly. Moreover, microbiota-derived products may reach tumors through circulatory or immune routes without obligatory neural processing, making it necessary to distinguish neural mediation from parallel systemic effects. Future validation will require experiments combining defined microbial or metabolite perturbations with direct neural recording and selective neural manipulation, such as pathway-specific activation, inhibition, denervation, or receptor blockade. These interventions should be integrated with orthotopic tumor models, longitudinal metabolomics, immune profiling, and spatial or single-cell analyses. Demonstrating that neural manipulation interrupts or modifies the effect of a defined microbial signal on tumor behavior would provide stronger causal evidence for the proposed integrator and amplifier function. Future studies should define the applicability of each neural module using tumor-type-specific experimental systems. Evidence for direct neuron-tumor synapses should ideally combine structural visualization with electrophysiological or calcium-signaling measurements, rather than relying solely on receptor expression. Validation should progress from neuron-tumor co-culture and organotypic models to orthotopic animal models and human spatial or single-cell analyses. Together, this axis not only further develops mechanisms of tumor heterogeneity and resistance but provides a roadmap toward rational design of next generation precision therapies beyond the tumor centric paradigms.</p>
      </sec>
    </sec>
  </body>
  <back>
    <sec>
      <title>DECLARATIONS</title>
      <sec>
        <title>Authors’ contributions</title>
        <p>Methodology, writing-original draft preparation, writing-reviewing and editing: Chen Y</p>
        <p>Conceptualization, funding acquisition: Yang X</p>
      </sec>
      <sec>
        <title>Availability of data and materials</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>AI and AI-assisted tools statement</title>
        <p>The authors used generative artificial intelligence tools Gemini 3 for language polishing and grammatical refinement during manuscript preparation. The authors carefully reviewed and edited the content to ensure scientific accuracy and take full responsibility for the integrity of the work.</p>
      </sec>
      <sec>
        <title>Financial support and sponsorship</title>
        <p>The work was supported by National Natural Science Foundation of China (80102012209).</p>
      </sec>
      <sec>
        <title>Conflicts of interest</title>
        <p>The authors declare that they have no known competing financial interests.</p>
      </sec>
      <sec>
        <title>Ethical approval and consent to participate</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Consent for publication</title>
        <p>Not applicable.</p>
      </sec>
      <sec>
        <title>Copyright</title>
        <p>© The Author(s) 2026.</p>
      </sec>
    </sec>
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