Abstract
The interplay between the nervous and immune systems has attracted growing scientific attention due to its implications for tumor progression, immune regulation, and potential therapeutic strategies. Although their primary concentration is on inflammation and homeostasis, this basic information emphasizes the crucial role that neuro-immune interaction plays in disease states, including cancer. Neuro-immune interactions are complex and multifaceted, playing significant effects on the pathophysiology of cancer. These interactions involve both peripheral and central neural pathways, modulating immune cell activity within the tumor microenvironment, and offering promising avenues for innovative therapeutic interventions. This review synthesizes recent advancements in understanding the molecular mechanisms, regulatory pathways, and translational applications of the neuro-immune axis in cancer. We explore the intricate roles of neurotransmitters, cytokines, and neurotrophic factors in mediating this crosstalk, examining how the peripheral, central, and enteric nervous systems regulate tumor immunity. Furthermore, we explore emerging therapeutic strategies that target neural inputs, combine neuroimmune modulation with immunotherapy, and consider the impact of epigenetic regulation on the neuroimmune microenvironment. By synthesizing recent advances, this review aims to provide a comprehensive understanding of this intricate field, identify current challenges, and delineate future research directions to harness neuro-immune modulation for offering promising avenues for innovative therapeutic interventions.
Keywords: cancer, immune systems, nervous system, neuro-immunity, tumor microenvironment
1. Introduction
Cancer poses a significant global health challenge. With our understanding of it fundamentally changing over recent decades, we recognize that tumors are not just masses of malignant cells but are intricately integrated within the physiological networks of host. The genetic alterations are essential but not enough for initial development and progression of cancer, and complex intricate interactions. The tumor microenvironment (TME) with a highly structured ecosystem containing cancer cells was surrounded by a variety of non-malignant cell types, fuels disease progression, metastasis, and therapeutic resistance (1). The traditional view holds that the TME is mainly composed of tumor cells, immune cells, fibroblasts (2), endothelial cells, adipocytes (3), and a network of blood vessels and lymphatic vessels. With the development of the emerging interdisciplinary discipline of “cancer neuroscience” (4), increasing evidence indicates a link between neurological functions and tumorigenesis (5–8). With studies on neuro-immune crosstalk, the role of the nervous system in tumor progression has changed from a traditional passive bystander to a key active regulator (9–14). Recent advancements highlight the extensive presence and active role of neural elements-such as nerve fibers, neurotransmitters, and neurotrophic factors-in and around tumors. This challenges the long-standing belief that tumors are devoid of innervation. This neural infiltration, known as perineural invasion, is now recognized as a key route for cancer cell spread and a major factor in the immunosuppressive environment of many solid tumors. Mounting evidence highlights the extensive presence and active role of neural elements—such as nerve fibers, neurotransmitters, and neurotrophic factors—in and around tumors (15–17). This neural infiltration, known as perineural invasion, is now recognized as a key route for cancer cell spread and a major factor in the immunosuppressive environment of many solid tumors (18–20).The intricate relationship between the nervous and immune systems is a bidirectional communication where neural signals significantly impact immune responses and vice versa (14, 21–23). This insight has revolutionized our knowledge of cancer development, progression, metastasis, and the effectiveness of clinic therapies.
The nervous system spans the entire body, maintaining stability and function through the transmission of chemical and electrical signals. These signals are primarily generated and integrated by the central nervous system (CNS), while processes like stress, emotional memory, appetite, motivation, and metabolism, send feedback signals to the CNS to adjust its regulatory output (24).The relative roles of pre-existing versus newly formed neuronal networks in tumor metastasis remains under investigation. The presence of nerve fibers within tumor tissues, once thought to be irregular or absent. However, existing neurons may be sufficient to aid tumor progression, while newly formed axons can further increase the metastatic potential (25). Notably, the presence of nerve fibers within tumor tissues is now recognized as a significant feature in many solid tumors, and increased nerve density is now considered a hallmark of many solid tumors, contributing to cancer progression (9). Perineural invasion (PNI), first discovered in head and neck tumors, is the invasion of peripheral nerves by neoplastic cells (26). Since then, PNI has been investigated for its clinical relevance across various tumors, including pancreatic cancer (PDAC) (27), prostate cancer (28), colorectal cancer (CRC) (29) and breast cancer (BC) (30), which facilitating tumor spread, associated with pain, recurrence and poor outcomes. PNI encompasses both local tumor infiltration and distant metastasis, and in certain tumors, is also recognized as a form of cancer metastasis.
The complexity of neuro-immune interactions in cancer are recognized as major factor in tumor development and progression. Although the exact processes by which neurons affect immunity are still being investigated, there is mounting evidence that afferent stimulation plays a significant role in the release of sensory neuropeptides into the peripheral microenvironment (31–33). They contribute to the acquisition of aggressive tumor phenotypes, such as enhanced migration, invasion, and metastatic potential, by influencing processes like angiogenesis and metabolic reprogramming (18, 19, 34). Moreover, these interactions play a crucial role in shaping the immune landscape within the TME, often promoting an immunosuppressive state that hinders effective anti-tumor immunity and limits the success of conventional and novel immunotherapies (35–37). For instance, highly innervated tumors like PDAC and prostate cancer exhibit distinct neuro-immune profiles compared to brain tumors such as glioblastoma (GBM), where the blood-brain barrier (BBB) and unique CNS immune cells play critical roles (36, 38–41). Understanding these tissue-specific nuances is crucial for developing targeted therapeutic strategies. The emerging concept of the gut-brain-cancer axis further expands this understanding, highlighting the systemic influence of gut microbiota metabolites on neurobiology and tumorigenesis, thereby adding another layer of complexity to neuro-immune crosstalk (42).
This review aims to provide a comprehensive overview of the current understanding of neuro-immune interactions in cancer, drawing upon recent literature to delineate the molecular underpinnings, the distinct roles of different nervous system components, and the promising translational avenues for therapeutic intervention. By synthesizing findings on neurotransmitter-mediated immune regulation, cytokine-neural modulation, and neurotrophic factor signaling, we seek to elucidate the intricate mechanisms that govern this crosstalk. We will further explore how the peripheral, central, and enteric nervous systems differentially regulate tumor immunity, highlighting their unique contributions. Finally, we will discuss innovative therapeutic strategies, including those targeting neural inputs and combining neuroimmune modulation with existing immunotherapies, while also acknowledging the challenges and outlining future research directions to fully exploit the neuro-immune axis for enhanced cancer treatment. By emphasizing the extensive role of the nervous system in shaping the TME, we aim to synthesize the latest findings, predominantly from the last decade, to illuminate the critical importance of the neuro-immune axis in cancer and to identify promising avenues for improving patient outcomes.
2. Molecular mechanisms underlying neuro-immune interactions
The intricate dialogue between the nervous and immune systems in the context of cancer is orchestrated by a complex array of molecular mechanisms, involving a diverse repertoire of signaling molecules. These molecules act as bidirectional signaling agents, allowing neurons to modulate immune cell activity and, conversely, enabling immune cells to influence neural function and integrity within the tumor microenvironment (TME) (5, 38, 43).These include neurotransmitters, which are traditionally associated with neuronal communication but also exert profound effects on immune cells; cytokines, the classic mediators of immune responses that can also modulate neural function; and neurotrophic factors, essential for neuronal survival and growth, which have been increasingly recognized for their roles in tumor progression and immune evasion. Understanding these molecular underpinnings is crucial for deciphering how the neuro-immune axis influences cancer biology and for identifying novel therapeutic targets.
2.1. Neurotransmitters and neuropeptides in immune regulation
Neurotransmitters, traditionally recognized for their roles in neuronal communication, are increasingly appreciated for their profound impact on immune cell function and the overall immune landscape of the TME (5, 44). The nervous system, through its direct innervation of tumors, releases various neurotransmitters that can directly bind to receptors on cancer cells and immune cells, thereby modulating their behavior. For instance, sympathetic nerve signaling, often associated with stress responses, has been shown to predominantly promote tumor progression by rewiring the TME towards tumor-supportive phenotypes (44–47). This involves the release of neurotransmitters like norepinephrine, which can directly influence cancer cell proliferation, invasion, and metastasis, as well as modulate the activity of immune cells, potentially leading to immunosuppression (48). Conversely, the role of parasympathetic signaling, often mediated by acetylcholine, can vary depending on the cancer type, sometimes promoting and other times inhibiting tumor growth (44, 49, 50).
A specific example of neurotransmitter involvement is 5-hydroxytryptamine (5-HT), also known as serotonin. Research in non-small cell lung cancer (NSCLC) has demonstrated that nerve growth factor (NGF) drives neural infiltration into tumors, leading to significantly elevated levels of 5-HT in tumors with extensive neural infiltration (19). This nerve-secreted 5-HT was found to enhance glycolysis in NSCLC cells, a metabolic reprogramming event that is critical for tumor growth and survival. 5-HT activated the PI3K/Akt/mTOR pathway, a central signaling cascade involved in cell growth, proliferation, and metabolism, thereby promoting this metabolic shift (51). Importantly, this metabolic reprogramming contributed to the establishment of an immunosuppressive tumor microenvironment by impairing cytotoxic CD8+ T-cell activity, promoting regulatory T-cell expansion, and enhancing the secretion of immunosuppressive cytokines such as IL-10 and TGF-β (51–53). In addition, persistent activation of PI3K/Akt/mTOR signaling further facilitated immune evasion and tumor progression through chronic immunosuppressive remodeling of the TME. Zheng Y et al.’s study further highlighted that neutralizing 5-HT-mediated metabolic reprogramming could enhance the efficacy of PD-1 monoclonal antibody treatment in murine models, underscoring 5-HT’s role as a critical mediator of neuro-tumor-immune crosstalk and a potential therapeutic target (19). Beyond 5-HT, other neurotransmitters and neuropeptides also play significant roles. Lamkin DM et al’s study shows that chronic stress accelerates the development of human pre-B cell acute lymphoblastic leukemia in an orthotopic mouse model, via an indirect route controlled by β-adrenergic signaling (54).
Neuropeptides, such as Substance P, released by nociceptor neurons (55), has also been implicated in promoting immunosuppression within the TME. In breast cancer, Substance P binds to its receptor, neurokinin 1 receptor (NK1R), promoting cancer cell proliferation and lymph node metastasis (56). Through NK1R (encoded by the gene TACR1) signaling on tumor cells, Substance P mostly influences tumor-associated immune responses by increasing nuclear factor-κB (NF-κB) activity, which in turn increases cytokine production, Toll-like receptor (TLR) expression, and PD1 levels (57). Breast cancer cells triggered calcium activity in sensory neurons and released Substance P. Using 3D co-cultures and in vivo models, Padmanaban V et al. revealed that Substance P from neurons stimulates the growth, invasion, and metastasis of breast cancer. Additionally, tumors with higher Substance P levels showed increased lymph node metastasis. Substance P interacts with tumor tachykinin receptors (TACR1), leading to the death of TACR1high cancer cells (56). In breast cancer, substance P interacts with its receptor neurokinin 1 receptor (NK1R) to stimulate cancer cell proliferation and lymph node metastasis. Apoptotic NK1Rhigh cancer cells release single-stranded RNA, which activates Toll‐like receptor 7 (TLR7) on other malignant cells and, in turn, causes a pro-metastatic gene profile leading to growth and metastasis, resulting to lower survival (56). Wang Y and colleagues also found that Substance P is highly expressed in cervical squamous cell carcinoma and enhances the proliferation and invasion of SiHa cervical cancer cells in vitro. This effect is linked to the activation of the ERK1/2 pathway, which increases MMP9 levels (58).
The gut microbiota also contributes to the neuro-immune axis through its metabolites, which can act as neuromodulators. The gut-brain-cancer axis, emphasizing the role of gut microbiota metabolites like short-chain fatty acids (SCFAs), tryptophan derivatives, secondary bile acids, and lipopolysaccharides (LPS) in modulating systemic processes that influence both brain health and tumorigenesis (42). Tryptophan derivatives, for example, can be precursors for neurotransmitters like serotonin, linking gut microbiota activity to neural and immune regulation, particularly in the context of neuroinflammation and brain tumors (59). This highlights a broader systemic influence on neuro-immune interactions in cancer, where distant signals can modulate local TME dynamics.
Similar neuroimmune-associated immunosuppressive remodeling has also been reported in breast and colorectal cancers, where neurotransmitter-mediated signaling contributes to immune evasion, stromal remodeling, and metastatic progression. In colorectal cancer (CRC), recent studies have identified a β2-adrenergic receptor (ADRB2)-NGF feedforward signaling circuit between sympathetic nerves and cancer-associated fibroblasts (CAFs). Norepinephrine stimulates ADRB2-dependent NGF secretion from CAFs, which subsequently enhances intratumoral sympathetic innervation and further norepinephrine accumulation, thereby establishing a self-amplifying neuro-mesenchymal interaction within the tumor microenvironment. Downstream adrenergic signaling promotes CRC progression through ADRA2A/Gi-mediated YAP activation, while CAF-derived NGF directly activates the PI3K/AKT pathway in CRC cells, enhancing tumor growth and survival. Importantly, interruption of this neuro-CAF signaling axis using TRK inhibitors attenuated YAP and AKT activation and suppressed CRC progression in preclinical models (60). PNI in CRC is further associated with an “immune cold” phenotype linked to low B2M expression, reduced CD8+ T cells and CD163+ macrophages, and decreased PD-L1, FoxP3, and LAG3 expression, establishing a direct neuro-immune coupling mechanism (61). CD3+, CD8+, and CD45RO+ tumor-infiltrating lymphocytes density is inversely associated with PNI in rectal adenocarcinoma, confirming clinical neuro-immune interplay (62). In BC, CAF-mediated neuroimmune remodeling similarly contributes to immunosuppression by promoting M2-like macrophage polarization and suppressing antitumor immune responses. Targeting CAF-associated signaling pathways, including CXCL12-mediated recruitment pathways, has been shown to reduce MDSC recruitment, and increasing intratumoral CD4+ and CD8+ T-cell infiltration (63). Furthermore, evidence suggests that epigenetic suppression of immune-response pathways in HER2-low TNBC exhibits distinct epigenetic suppression of immune response genes (HLA hypermethylation, downregulation of leukocyte activation and T cell signaling pathways), may further contribute to neuroimmune-associated immune escape, highlighting the complex interplay among stromal signaling, epigenetic remodeling, and tumor immunity (64).
In summary, neurotransmitters and neuropeptides are not merely signals for neuronal communication but are active participants in shaping the tumor microenvironment and modulating immune responses. Their ability to influence tumor cell metabolism, promote immunosuppression, and contribute to cancer-associated pain underscores their critical role in cancer progression. Targeting these neurotransmitter pathways represents a promising avenue for novel cancer therapies, either as standalone interventions or in combination with existing immunotherapies.
2.2. Cytokines in neural modulation
Cytokines, traditionally recognized as the primary communicators of the immune system, orchestrating inflammatory responses and immune cell differentiation, are increasingly understood to exert profound effects on neural function. Beyond their established roles in neuroinflammation and neuropathic processes, cytokines also directly regulate neural remodeling within the tumor microenvironment and contribute significantly to neuro-immune crosstalk in cancer (65). This bidirectional communication means that not only do immune cells respond to neural signals, but neurons and glial cells are also highly responsive to the cytokine milieu, influencing neural plasticity, pain perception, and even cognitive function in cancer patients.
Pro-inflammatory cytokines such as IL-1β, IL-6, and TNF-α can influence neuronal differentiation, axonal growth, neurotransmitter production, and neural infiltration into tumor tissues. These cytokine-mediated neural alterations may contribute to tumor progression by enhancing tumor-associated innervation and promoting neuroimmune crosstalk within the TME. IL-6 signaling has been associated with increased sympathetic nerve activity and altered neurotransmitter release, whereas TNF-α and IL-1β may modulate neuronal survival and apoptosis through NF-κB- and MAPK-dependent pathways (66). Evidence further suggests that cytokine-driven neural remodeling can facilitate perineural invasion and establish a tumor-promoting microenvironment characterized by enhanced immunosuppression and cancer cell survival. In breast and colorectal cancers, where neuroimmune interactions are increasingly recognized, cytokine-associated neural remodeling has been implicated in disease progression and metastatic dissemination (65). The IL-6/JAK2/STAT3 pathway driving pro-inflammatory cytokine elevation at the spinal cord level and its implications for tumor-infiltrating neural modulation (67). The mechanism by which neural peptides/metabolites induce monocyte-derived IL-10 and PGE2 production, promoting Treg differentiation via EP2/EP4 and IL-10 receptor signaling (68). and recent evidence that tumor-derived small extracellular vesicles reprogram sensory nerve secretory profiles to create a pro-immunosuppressive feedforward loop (69).
Evidence suggested that cytokine-driven neural remodeling may facilitate tumor-associated innervation and perineural invasion within the TME. In breast and colorectal cancers, cytokine-associated neuroimmune remodeling has been implicated in tumor progression and metastasis. Tumor-derived inflammatory cytokines (IL-6, TNF-α, IL-1β) activate neuronal receptors, modulate glial cell polarization (e.g., promoting pro-tumor M2-like astrocyte/Schwann cell phenotypes), alter neuropeptide and neurotransmitter release (substance P, CGRP, norepinephrine, acetylcholine), and ultimately reprogram immune cell subsets (MDSCs, M2 macrophages, Tregs) within the TIME to generate an immunosuppressive milieu. Tumor-associated inflammatory cytokines exert direct regulatory effects on peripheral neurons and glial cells within the tumor microenvironment. IL-6, acting via the JAK2/STAT3 pathway, modulates neuronal excitability and promotes the production of downstream cytokines including TNF-α and IL-1β, while simultaneously suppressing anti-inflammatory mediators such as TGF-β and IL-10 at the spinal level (67). This cytokine–neural feedback establishes a self-amplifying circuit: neural activation drives further cytokine production, which in turn recruits and polarizes immunosuppressive cell populations (including MDSCs, M2 macrophages, and Foxp3+ Tregs), thereby creating a TIME that favors tumor immune evasion (67, 68).
One prominent cytokine involved in neuro-immune crosstalk is transforming growth factor beta (TGF-β). Researchers have discovered that overexpressed TGF-β leads to a wide range of metabolic diseases and dysfunctions, as well as the epithelial-mesenchymal transition (EMT) and excessive ECM deposition (70, 71), which results in fibrosis, cancer, and immunological dysfunction (72). In the early phases of carcinogenesis, TGF-β suppresses tumor growth by causing apoptosis and preventing proliferation (73). Through downregulated MYC expression (74) and overexpressed cyclin-dependent kinase (CDK) inhibitors (75), TGF-β generally suppresses proliferation and encourages apoptosis. Premalignant cells can self-impose a slow-cycling state to stay dormant for long periods of time under this setting, and they develop into disseminated cancer cells. The TGF-β-regulated immunosuppressive microenvironment indirectly facilitates tumor escape (76). TGF-β signaling regulates adaptive immunity by directly expanding Treg cells, modulating the CD4+ T cell response, and controlling effector T cell function (76). It also influences the innate immune system by inhibiting NK cells and modulating the proliferation of macrophages, antigen-presenting dendritic cells, and granulocytes (77, 78). In the early stages of PDAC, TGF-β triggers apoptosis through ID1, and suppresses epithelial cell growth (79). Tumor necrosis factor alpha (TNF-α), a pro-inflammatory cytokine, has been linked to cancer-related cognitive impairment. In testicular cancer (TC) patients undergoing chemotherapy, poorer cognitive performance was associated with an increase in TNF-alpha levels (80). This finding suggests that systemic inflammatory responses, mediated by cytokines like TNF-α, can have significant neurological consequences, impacting brain function and contributing to cognitive decline (80).
Interleukin-10 (IL-10), a well-known anti-inflammatory cytokine, also plays a crucial role in neuro-immune interactions, particularly in the context of pain resolution. Chemotherapy-induced peripheral neuropathy (CIPN), a debilitating side effect of many antineoplastic agents like paclitaxel, involves neuro-immune interactions in both its development and resolution (81). Research has demonstrated that an inducible co-stimulatory molecule (ICOS) agonist antibody (ICOSaa) can alleviate paclitaxel-induced neuropathic pain in female mice. This effect was mediated by an IL-10-dependent mechanism, where ICOSaa administration increased IL-10 expression in the dorsal root ganglion (DRG), a key site for sensory neuron cell bodies. Blocking the IL-10 receptor (IL-10R) activity occluded the pain-relieving effects of ICOSaa, confirming IL-10’s critical role (81). Interleukin-6 (IL-6) is another cytokine with significant neuro-immune implications in cancer. Cancer-released small extracellular vesicles (sEVs) can elevate IL-6 expression in dorsal root ganglion (DRG), neurons, contributing to an immunosuppressive state and T-cell exhaustion (35). This suggests that IL-6, secreted by activated neurons in the TME, can act as a pro-tumorigenic cytokine by fostering an immunosuppressive environment. The unique role of IL-17B has been observed in gastroenteropancreatic neuroendocrine tumors (GEP-NETs). Digital spatial profiling revealed that duodenal gastrinomas, characterized by an immunologically “cold” microenvironment, expressed the pro-inflammatory and pro-neural factor IL-17B. Treatment of human duodenal organoids with IL-17B activated NF-κB and STAT3 signaling and induced the expression of neuroendocrine markers, suggesting that tumor-derived IL-17B can stimulate the neuroendocrine phenotype and contribute to tumorigenesis, even in the absence of robust immune cell infiltration (82).
In summary, cytokines like TGF-β, TNF-α, IL-10, IL-6, and IL-17B are pivotal molecular bridges in neuro-immune crosstalk within cancer. They mediate diverse effects, ranging from promoting tumor aggressiveness and immunosuppression to resolving neuropathic pain and influencing cognitive function. The specific context of the TME, the type of cancer, and the involved neural and immune cell populations dictate the precise role and impact of each cytokine, underscoring the complexity and therapeutic potential of modulating these cytokine-neural interactions. Furthermore, they contribute to cancer-associated pain and can even influence tumor cell phenotype and progression. The bidirectional nature of cytokine-neural communication, where immune-derived cytokines affect neural cells and neural-derived factors can influence cytokine production, underscores the complexity and importance of this molecular axis in cancer biology. Targeting specific cytokine pathways or their downstream effects holds significant promise for therapeutic interventions.
2.3. Neurotrophic factor signaling pathways
Neurotrophic factors are a family of proteins essential for the survival, development, and function of neurons. Traditionally studied for their roles in the nervous system, these factors and their associated signaling pathways have emerged as critical players in cancer biology, mediating complex interactions between cancer cells, nerves, and immune cells within the tumor microenvironment. Their involvement in promoting tumor growth, invasion, metastasis, and immune evasion highlights them as key components of the neuro-immune axis in cancer.
One of the most extensively studied neurotrophic factors in cancer is NGF. NGF, along with its receptor tropomyosin receptor kinase A (TrkA), is frequently overexpressed in various cancers and has been implicated in tumor progression and metastasis. A study highlighted NGF’s role in sustaining cancer cell proliferation and evading immune defense, also noting its involvement in neurogenic inflammation through the activation of immune cells and the release of pro-inflammatory cytokines (83). Zheng et al. further demonstrated that NGF drives neural infiltration in non-small cell lung cancer (NSCLC), setting the stage for 5-HT-mediated metabolic reprogramming and immunosuppression, underscoring NGF’s foundational role in establishing a pro-tumor neuro-immune environment (19).
Glial-derived neurotrophic factor (GDNF) is another crucial neurotrophic factor. GDNF, minimally expressed in the healthy adult brain but secreted by reactive CNS microglia and macrophages in response to injury, acts as a prosurvival neurotrophin (84). Recent data has revealed that GDNF is aberrantly elevated in human glioblastoma (GBM) tissues and cells (85) and promotes GBM cell invasion, migration, and proliferation through a variety of pathways (86, 87). Additionally, GBM growth is significantly slowed by decreasing GDNF and its receptor (GFRα1), indicating that GDNF may be a viable target for GBM treatment (88). In breast cancer metastasis to the leptomeninges (LM), breast cancer cells (BCCs) were found to coincide with perivascular meningeal macrophages and trigger GDNF expression (89). BCCs that express the GDNF receptor, neural cell adhesion molecule (NCAM), can transmit antiapoptotic signals, boosting their survival in nutrient-poor lymphatic microenvironments. Blocking intrathecal GDNF, eliminating GDNF in macrophages, or deleting NCAM from BCCs suppressed BC growth in the lymphatic microenvironment (89). This study underscores the role of GDNF in sustaining tumor survival in metastatic niches, highlighting the GDNF-NCAM signaling pathway as a promising therapeutic target.
Brain-derived neurotrophic factor (BDNF), with its cognate receptor tropomycin receptor kinase B (TrkB), is another neurotrophin gaining attention in cancer (90). The overexpression of TrkB and BDNF is linked to a poor cancer prognosis. This is due to their roles in metastasis formation, epithelial-mesenchymal transition (EMT), invasion, migration, and proliferation (91, 92). The activation of the TrkB pathway by BDNF in breast cancer appears linked to cell growth and metastatic behavior (93). A study has also revealed that mature BDNF and its receptor TrkB are highly expressed in human glioma cells. Mature BDNF and TrkB exhibit comparable expression profiles, showing elevated expression in tandem with the increase in glioma grades. Furthermore, high-grade samples showed enhanced co-localization of mature BDNF and TrkB in human gliomas, indicating that the mature BDNF/TrkB signaling pathway influences the prognosis and malignancy of gliomas (94). TrkB and BDNF were found to co-express in 54.4% of all cases of lung cancer, and the STAT3 proliferation pathway was found to be activated by BDNF. However, in a phase 1 clinical study, the activation of this pathway decreased when TrkB was blocked with medication (95).
The general concept of neurotrophic factors influencing cancer progression is further supported by the observation that in the initial or developmental stage of cancer, factors such as NGF, BDNF, and GDNF are associated with poor prognosis in various cancers by communicating with cancer cells, immune cells, and peripheral nerves within the TME. Figure 1 summarizes the dynamic bidirectional neuro-immune feedback network within the tumor microenvironment, highlighting how neurotransmitter-mediated signaling promotes immunosuppressive remodeling and tumor progression. Research has explored preventing cancer growth by controlling the activation of these neurotrophic factors within tumors, showing promising results and offering novel attempts in cancer treatment. This collective evidence firmly establishes neurotrophic factor signaling pathways as critical regulators of the neuro-immune axis in cancer, influencing tumor growth, invasion, metastasis, and immune evasion. Their multifaceted roles make them attractive targets for developing innovative therapeutic strategies aimed at disrupting the pro-tumorigenic neuro-immune crosstalk.
Figure 1.
Dynamic bidirectional feedback of neuro-immune communication in cancer. Neurons release neurotransmitters (e.g., 5-HT, Substance P) and neurotrophic factors (e.g., NGF, BDNF), which bind to their cognate receptors (e.g., β-AR, NK1R) on cancer cells. This activates key oncogenic pathways (PI3K/Akt/mTOR, NF-κB), promoting cancer cell survival and the secretion of factors that induce an immunosuppressive microenvironment. Consequently, anti-tumor immunity is suppressed, characterized by inhibited CD8+ T and NK cell activity, and an expansion of immunosuppressive MDSCs and Tregs. This altered immune landscape, in turn, feeds back to further stimulate neuronal activity, creating a self-reinforcing cycle that fuels tumor growth and immune evasion.
3. Mechanisms of neural regulation of tumor immunity
The nervous system, through its diverse branches and intricate networks, exerts profound regulatory control over tumor immunity. This regulation occurs at multiple levels, involving direct innervation of tumors, systemic neuro-endocrine-immune signaling, and even the influence of distant neural systems like the enteric nervous system. Figure 2 illustrates the multi-level regulation of tumor immunity by the peripheral, central, and enteric nervous systems through local and systemic neuroimmune signaling pathways. Understanding these distinct regulatory mechanisms is crucial for appreciating the holistic impact of the nervous system on cancer progression and for devising targeted therapeutic interventions.
Figure 2.
Neural regulation of the tumor immune microenvironment by peripheral, central, and enteric nervous systems. The peripheral nervous system, comprising sympathetic, parasympathetic, and sensory neurons, directly influences the tumor microenvironment via neurotransmitter release (e.g., norepinephrine, acetylcholine, Substance P, CGRP) and through tumor-supportive Schwann cells, thereby locally shaping immune cell function. Simultaneously, the central nervous system exerts systemic control through stress axes (e.g., the hypothalamic-pituitary-adrenal axis), releasing circulating factors like catecholamines that suppress cytotoxic activity in lymph nodes and the tumor bed. Furthermore, the enteric nervous system, in close communication with the gut microbiota, regulates local immune populations (e.g., dendritic cells, macrophages) and can generate systemic signals that indirectly impact distal tumor sites, collectively establishing a multi-level neuro-immune network that governs tumor progression.
3.1. Immune regulation by the peripheral nervous system
The peripheral nervous system (PNS), comprising sensory, sympathetic, and parasympathetic nerves, directly innervates many solid tumors, establishing a direct conduit for neuro-immune communication that significantly impacts tumor immunity (5, 44, 96). This direct innervation allows for the local release of neurotransmitters and neurotrophic factors that modulate the activity of immune cells within the tumor microenvironment (TME), often shaping an immunosuppressive landscape conducive to tumor growth and metastasis.
One of the most extensively studied aspects of PNS mediated immune regulation in cancer involves the sympathetic nervous system (SNS). The SNS postganglionic neurons emit noradrenaline which dilates airways, increases heart rate, and releases energy reserves by acting on α-adrenergic receptor (α-AR) and β-adrenergic receptor (β-AR). Adrenergic neurons mediate adrenergic signaling by releasing noradrenaline, which binds to α- or β-adrenergic receptors. Adrenergic receptor expression in cancer cells has important therapy implications, according to numerous preclinical investigations. Adrenergic agonists increase pro-tumorigenic signaling in cancer cells, while antagonists inhibit apoptosis, cell proliferation, survival, and invasion via β2-adrenergic receptor signaling (97, 98). Additionally, endothelial and immunological cells, as well as other biological components in the TME, are influenced by adrenergic signaling, which affects the mechanisms of angiogenesis, metastasis, and immune evasion (99–101). Sympathetic nerve signaling predominantly promotes tumor progression by rewiring the TME towards tumor-supportive phenotypes. These nerves interact closely with various TME components, including myeloid cells, lymphoid cells, and Schwann cells. The density of PD-L1+ tumor-associated nerves (TANs) in prostate cancer, which are often sympathetic, was found to be inversely correlated with CD8+ tumor-associated lymphocytes (TALs), suggesting that these nerves contribute to an immunosuppressive microenvironment (36). Through the β-AR, noradrenaline can also directly alter the phenotypic of T cells (31). The ADRB1 gene was upregulated in exhausted CD8+ T lymphocytes, which were frequently found close to sympathetic nerves. It was discovered that catecholamine exposure caused the exhaustion state in CD8+ T lymphocytes that expressed ADRB1. When used in conjunction with immune checkpoint blockade (ICB) to treat melanoma, β-AR antagonists that impair β1-adrenergic signaling prevented the disease from progressing to an exhausted state and enhanced CD8+ T cell effector activities. Additionally, combining β-blockers with ICB improved CD8+ T cell responses and encouraged the growth of tissue-resident memory-like T cells in a PDAC mouse model that was resistant to ICB (31).
The role of parasympathetic nervous system (PSNS) is more nuanced and can vary depending on the cancer type (44). While sympathetic activation often promotes tumor growth, parasympathetic input might have diverse effects, sometimes inhibitory and sometimes stimulatory, highlighting the complexity of autonomic nervous system regulation in cancer. Postganglionic PSNS neurons generally secrete acetylcholine (ACh), which binds to muscarinic receptors in target tissues. This action slows the heart rate, improves digestion, and stimulates glandular secretions. Despite its apparent significance, the role of PSNS signaling in tumor biology has not been thoroughly investigated. One explanation could be that parasympathetic innervation via the vagus nerve (>70% of its axons) is mostly sensory, which makes it challenging to differentiate between sensory-driven pathways and parasympathetic effects on tumors (102). Mounting evidence indicates that parasympathetic signaling contributes to carcinogenesis in hepatocellular carcinoma (HCC) (103), gastric cancer (104), and prostate cancer (105). However, in a pancreatic ductal adenocarcinoma model, the administration of the muscarinic agonist bethanechol reduced cancer stemness, decreased infiltration by CD11b+ myeloid cells, and decreased metastatic spread to the liver, suggesting that cholinergic signaling may limit the growth of pancreatic tumors (49). Given the widespread expression of muscarinic ACh receptors, including in immune cells, it’s unclear if these effects stem from direct stimulation of tumor cells, immune cells, or both. With the cholinergic system in T and B cells becoming a promising therapeutic target (50), more research is required to delineate the role of parasympathetic nerve signaling in tumor-immune interactions. Multiple investigations evaluated parasympathetic nerve density as an alternative biomarker for cholinergic levels in the TME. Reduced parasympathetic nerve density was directly linked to worse clinical outcomes, according to an analysis of BC (101). However, increased parasympathetic nerve fiber densities inside the TME were linked to poor survival rates in prostate cancer (106). The origin of ACh in these tumors is called into speculation by these tumor-specific effects. It’s interesting to note that ACh can be produced by liver (107), gastric (108), and lung (109) cancer cells. It has been discovered that these ACh-secreting cancer cells react to ACh, establishing an autocrine loop that encourages an ongoing proliferative stimulus (110). Notably, Ach is also produced and secreted by immunological cells, particularly T cells, indicating that cholinergic signaling may affect several cell types in the TME (111). For example, increased expression of immune checkpoint receptors was linked to parasympathetic nerve density. Reduced PD1 and PDL1 expression on tumor-infiltrating cells was observed in vivo when parasympathetic innervation was genetically abated. This finding is consistent with the poor prognosis observed in patients with diminished parasympathetic nerve density (101).
Sensory nerves, particularly nociceptor neurons, also play a critical role in regulating tumor immunity. The axons of peripheral sensory neurons are extensively dispersed across visceral and superficial tissues, while the dorsal root ganglia (DRG) and trigeminal ganglia are the origin of visceral sensory neurons (112). By releasing neuropeptides like substance P and calcitonin gene-related peptide (CGRP), as well as neurotrophic factors like NGF and BDNF, their terminals not only transmit mechanical, chemical, and thermal sensory signals but also regulate tumor neuro-microenvironment and encourage the malignant progression of tumors (113). Thus, these neurons become the primary link between localized malignant tumor activities and systemic physiological responses (113, 114). CGRP signaling has been directly linked to increased tumor growth by promoting cytoprotective autophagy in cancer cells (115). In head and neck tumors and oral melanoma, the production of reactive oxygen species (ROS) by cancerous cells phosphorylates JUN, which in turn triggers the transcription of NGF. Following that, NGF is released and attaches itself to its receptor, TrkA, on nociceptor neurons that innervate tumors. This promotes peri-tumoral neurogenesis, increases the transcription of calcitonin-related polypeptide-α (CALCA; the gene that codes for CGRP), and increases the secretion of CGRP. CGRP then attaches itself to malignant cells’ receptor complex of calcitonin gene-related peptide type 1 receptor (CALCRL) and receptor activity (116)modifying protein 1 (RAMP1), which promotes tumor growth and cytoprotective autophagy through the mTOR–Raptor pathway (116–118).
Beyond direct innervation, Schwann cells, which support peripheral neurons, are also key players in neuro-immune interactions. In PDAC, Schwann cells enhance the aggressiveness of cancer cells through TGF-β signaling, contributing to PNI and creating a pro-tumorigenic microenvironment (18). By releasing substances that guarantee neuronal homeostasis and response to insults, Schwann cells play a crucial role in maintaining the axonal myelin sheath (119). The invasion of lumen-lacking nerves by tumors triggers regeneration and repair programs in Schwann cells and the nerve itself, in contrast to the invasion of blood and lymphatic vessels (120, 121). The repair phenotype of activated Schwann cells facilitates the passage of cancer cells along and within the lumen-lacking nerve fibers (122).
In summary, the PNS plays a multifaceted and often pro-tumorigenic role in regulating tumor immunity, which actively regulates tumor immunity through direct innervation, neurotransmitter release, neurotrophic factor signaling, and the involvement of supporting glial cells like Schwann cells. These interactions often promote tumor growth, invasion, and immune evasion, while also contributing to debilitating symptoms. The specific effects can vary depending on the type of nerve fiber (sympathetic, parasympathetic, sensory) and the context of the tumor, necessitating a nuanced understanding for therapeutic targeting.
3.2. Immune regulation by the central nervous system
The CNS, comprising the brain and spinal cord, has traditionally been considered an “immune-privileged” site due to the presence of the BBB and a unique immune environment. However, this concept has been challenged by growing evidence demonstrating active immune surveillance and significant neuro-immune interactions within the CNS, particularly in the context of brain tumors like gliomas and metastatic disease. The CNS can exert both local and systemic control over immunity, influencing tumor progression and response to therapy.
Primary and metastatic CNS tumors have shown a similar phenomenon of nerve-mediated cancer growth. In comparison to the peripheral, the CNS has a remarkably high density of nerves, which make up around half of all brain cells (123), especially GBM, are among the most lethal cancers, characterized by rapid progression, infiltrative growth, therapeutic resistance and high recurrence rate, and the worst prognosis (124). Glioma progression is tightly influenced by interactions with neurons (125, 126), including invasion (127), progression (127, 128), and tumor initiation (126). Neuron-glioma connections involve both paracrine factor signaling (126, 128) and electrochemical signaling via α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA)receptor (AMPAR)-mediated neuron-to-glioma synapses (127, 129). In line with previous findings, a study revealed that neuronal activity-regulated paracrine factors promote glioma formation (130, 131), and also reinforcing neuron-glioma connections (132). Neuroligin-3 (NLGN3) and BDNF are two important paracrine factors that are activity-regulated: NLGN3 stimulates the expression of genes encoding the AMPAR subunits GluA2 (GRIA2) and GluA4 (GRIA4), as well as TrkB2 (NTRK2), whereas BDNF-TrkB signaling enhances the trafficking of translated AMPAR subunits to the postsynaptic membrane, modulating the strength (amplitude) of postsynaptic currents. BDNF and NLGN34 both induce the formation of neuron-to-glioma synapses (132).
Except for neuronal activity-regulated paracrine factors, neurons can also directly form synapses with glioma cells to accelerate glioma progression. Glutamatergic synapses formed by neurons and glioma cells conduct signal transduction through calcium permeability AMPAR (127, 129), which is consistent with the normal synapses formed by ordinary neurons and oligodendroglial precursor cells (OPCs). Clinical models have shown that blocking glioma AMPAR can hinder the growth of glioma (127), and activating AMPA signaling pathway can accelerate the progression of glioma (129). The secretion of NLGN3 can promote the formation of neuron-glioma synapses, and the secretion of BDNF can increase the postsynaptic current intensity (132), suggesting that the regulation of synapses in neuron-glioma cells can also be enhanced by combined regulation of paracrine factors.
3.3. The role of the enteric nervous system
The enteric nervous system (ENS) is a highly conserved but convoluted network of neurons and glial cells, which plays a unique and increasingly recognized role in modulating systemic processes that influence both brain health and tumorigenesis. The ENS independently regulates gastrointestinal tissue dynamics and gut homeostasis, without brain or spinal cord input, thereby often referred to as the “second brain” (133). As an enormous division of the autonomic nervous system, the ENS rivals the spinal cord in complexity. Located in the body’s largest sensory organ, it collaborates with the immune system, intestinal epithelia, enteroendocrine system, and intestinal microbiome to facilitate the absorption of nutrients, water, and electrolytes while also blocking access to potentially dangerous substances found in the lumen (134).
The intricate connection with the gut microbiota forms the basis of the emerging concept of the gut-brain-cancer axis, which represents a novel and complex interplay between the gut microbiota, neurobiology, and cancer progression (42). While not directly innervating tumors in the same way as the peripheral somatic or autonomic nervous systems, the ENS, through its influence on gut function and microbiota composition, can indirectly but profoundly impact neuro-immune interactions relevant to cancer. A study explored the gut-brain-cancer axis, focusing on how gut microbiota metabolites that influence both brain health and tumorigenesis. Gut dysbiosis can alter metabolite profiles, leading to neuroinflammation and immune dysregulation that can impact tumor development and progression within the gastrointestinal tract (42).
PDAC is a prime example where the ENS and its associated neural components play a significant role in tumor progression and immune evasion. PDAC is characterized by an abundant desmoplastic stroma and pronounced perineural invasion, making nerve-cancer interactions a defining feature of this highly aggressive cancer (46, 135). Demir et al. extensively reviewed nerve-cancer interactions in PDAC, highlighting that intratumoral nerves are a rich source of neurotrophic factors (NGF, GDNF, artemin), neuronal chemokines (fractalkine), and autonomic neurotransmitters (norepinephrine) (46). These factors enhance the invasiveness of PDAC cells, trigger neural invasion (NI), and activate pro-survival signaling pathways. Conversely, PDAC cells provide trophic agents to intrapancreatic nerves, leading to remarkable neuroplasticity, augmented local neuro-surveillance, neural sensitization, and neuropathic pain. This bidirectional trophic support creates a vicious cycle that fuels tumor progression and nerve involvement. The strong correlation of NI with PDAC-associated desmoplasia suggests a triangular relationship between nerves, PDAC cells, and other stromal partners like myofibroblasts and pancreatic stellate cells, which generate tumor desmoplasia.
The ENS’s influence on PDAC extends to modulating the tumor immune microenvironment (TIME). Luo et al. provided a comprehensive review of TIME-based therapies in PDAC, emphasizing that interactions among cancer cells, immune cells, cancer-associated fibroblasts (CAFs), and extracellular matrix (ECM) components drive PDAC towards a more immunosuppressive direction (37). Xu et al. specifically discussed the regulatory mechanisms and crosstalk among stromal cells and their factors within the PDAC microenvironment, including the dynamic changes between tumor cells and surrounding nerves, immune, and stromal cells (135). They highlighted the role of neural factors like NGF and BDNF, and the sympathetic and parasympathetic nervous systems in regulating tumor cell growth, migration, and invasion, all of which contribute to the immunosuppressive TIME.
Gastroenteropancreatic neuroendocrine tumors (GEP-NETs), which arise from neuroendocrine cells in the digestive system, also exhibit unique neuro-immune interactions influenced by the ENS. Duan et al. utilized digital spatial profiling to reveal tissue-specific neuro-immune signatures in GEP-NETs (82). They found that gastrin-secreting and non-functional pancreatic NETs showed a higher abundance of immune cell markers and immune infiltrate compared with duodenal gastrinomas. Interestingly, duodenal gastrinomas were characterized by an immunologically “cold” microenvironment but expressed the pro-inflammatory and pro-neural factor IL-17B. Treatment of human duodenal organoids with IL-17B activated NF-κB and STAT3 signaling and induced neuroendocrine markers, demonstrating a cell-autonomous expression of immune and pro-inflammatory factors by tumor cells that stimulate the neuroendocrine phenotype.
4. Therapeutic strategies targeting the nervous system
The growing understanding of neuro-immune interactions in cancer has opened promising avenues for innovative therapeutic interventions. By targeting specific components of the neuro-immune axis, researchers aim to disrupt pro-tumorigenic signaling, enhance anti-tumor immunity, and alleviate cancer-related symptoms. These translational applications range from directly modulating neural inputs to combining neuroimmune strategies with existing immunotherapies and exploring broader systemic influences. To bridge the gap between basic mechanistic discoveries and clinical implementation, it is essential to delineate the translational maturity of current neuro-immune interventions. While advanced experimental modalities offer unprecedented mechanistic precision in preclinical rodent models, their clinical application remains constrained by delivery vectors, safety profiles, and ethical boundaries. Conversely, the repurposing of established neuropsychiatric agents, particularly β-blockers, represents the most clinically advanced strategy to date. Figure 3 summarizes current and emerging therapeutic strategies targeting neuroimmune signaling in cancer. To provide a clear and scannable overview for readers, we have structured and categorized these existing therapeutic strategies based on their current translational stages in Table 1.
Figure 3.
Therapeutic strategies targeting the neuro-immune axis in cancer. Current approaches encompass a multi-pronged strategy to disrupt pro-tumorigenic neuro-immune signaling, including: (1) direct blockade of neural inputs via pharmacological inhibition (e.g., β-blockers, anti-NGF/TrkA antibodies) or surgical/chemical denervation (e.g., sympathectomy); (2) rational combination therapies that integrate these neuro-modulatory agents with conventional chemotherapy and immune checkpoint blockade (ICB, e.g., anti-PD-1) to overcome immunosuppression and enhance anti-tumor immunity; and (3) emerging advanced interventions such as epigenetic modifiers to reverse T-cell exhaustion and for spatiotemporally controlled, precision drug delivery within the tumor microenvironment.
Table 1.
Translational landscape of neuro-immune therapeutic strategies in cancer.
| Therapeutic strategy | Primary target/mechanism | Translational stage | Current status & limitations | Key evidence/clinical trials | Reference |
|---|---|---|---|---|---|
| β-blockers (Propranolol + Pembrolizumab) | No significant changes in treatment-associated biomarkers, an increase in IFN-γ, and a decrease in IL-6 in responders. | Clinical (Phase I/II) | Drug repurposing with known safety profiles; main challenge lies in identifying patient cohorts highly responsive to sympathetic stress. | NCT03384836 | |
| Perioperative COX-2 and β-adrenergic blockade (Propranolol); Preoperative β-blockade with propranolol |
Sympathetic signaling inhibition; dampens stress-induced immunosuppression. | Clinical (Phase II) | Demonstrated improved immune biomarkers in breast cancer patients; further large-scale trials are needed to confirm survival benefits. | NCT00502684; ACTRN12615000889550 | (136, 137); |
| Perioperative COX-2 +β-adrenergic blockade | Combined inhibition of inflammatory and neural signaling pathways. | Clinical (Phase II) | Proven reduction in pro-tumor monocyte infiltration and enhancement of NK cell activity; requires optimal dosing protocols for translation. | NCT00888797 | (138) |
| Cannabinoid receptor modulators | CB1/CB2 receptors on neural and immune cells; modulates neuro-inflammation and suppresses T-cell exhaustion. | Clinical (Phase I/II) | Exhibits dual anti-tumor and palliative (pain relief) efficacy; however, the psychoactive properties of certain compounds require precise formulation. | NCT01812603; NCT01812616 | (139) |
| Perioperative lidocaine administration | Inhibition of neutrophil extracellular traps (NETs) and neural-driven metastasis markers. | Clinical (Prospective, Randomized) | Decrease in neutrophil extracellular trapping and MMP3 following administration of lidocaine; Safety confirmed as an adjuvant; future long-term follow-up is necessary to validate its impact on recurrence-free survival. | NCT02839668 | (140) |
| Surgical or pharmacological denervation of the stomach | Cholinergic nerve fibers; blocks acetylcholine (ACh) release to inhibit vagal-mediated tumor promotion. | Preclinical | Proven highly effective in murine models of gastric and prostate cancer; human translation is currently limited to small-scale pilot feasibility studies. | Denervation and cholinergic antagonism, in combination with other therapies, could represent a viable approach for the treatment of gastric cancer and possibly other solid malignancies. | (104) |
| β--blocker (Propranolol) + anti-CTLA-4 | Targets β-adrenergic receptors; enhances T cell infiltration and reduces MDSC-mediated immunosuppression in TME. | Preclinical | Preclinical models of fibrosarcoma and colorectal cancer | Demonstrates significant efficacy in murine models; further studies are required to confirm safety and optimal sequencing in humans. | (141) |
4.1. Resource identification initiative
Directly targeting neural inputs to tumors represents a burgeoning area of cancer therapy, building on the evidence that nerves often promote tumor growth, invasion, and immune evasion. The strategies can involve surgical denervation, pharmacological modulation of neural receptors, or interventions that disrupt neurotrophic factor signaling. Studies have shown that by triggering the sympathetic signaling cascade, tumor-derived LIF and Gal3 promote the development of MDSCs (142). This neurological route is blocked by selective denervation via splenic sympathectomy, which directly improves MDSCs’ immunosuppressive capabilities (142). Benzaquen et al. highlighted that denervation has shown promise in vitro and in animal models, particularly for cancers like prostate cancer and PDAC, which are richly innervated. They noted that surgical or chemical sympathectomy has been shown to prevent the development of prostate cancer, suggesting that disrupting sympathetic nerve input can have therapeutic effects (143). Li et al. also mentioned that denervation of the tumor has been reported to enhance cancer metastasis in some contexts, indicating a complex role that requires careful consideration of the specific neural pathways involved and the tumor type (34). However, the potential for denervation to reduce tumor growth and spread, especially in highly innervated tumors, remains a compelling area of research.
Pharmacological interventions targeting neurotransmitter receptors or their synthesis pathways are another key strategy. Given the role of sympathetic signaling in promoting tumor progression, beta-blockers, which antagonize β-adrenergic receptors, have been investigated. The process of tumor metastasis can be effectively inhibited by propranolol, a non-selective β-adrenergic receptor antagonist, which can selectively prevent the activation of noradren-ergic cAMP/PKA signal transduction cascades (144). Study showed that patients using β-blockers had a higher survival rate than those not on β-blockers in retrospective evaluations of patients with non-small cell lung cancer treated with ICB (145). A similar result has been observed in metastatic melanoma (146). Mellgard G er al. also indicated that β-blocker enhance the clinical activity of ICB and had significant association with OS in urothelial carcinoma subgroup, compared with non-β-blocker group (147). These findings highlight thatβ -blocker may play a role in influencing the immune activity of ICB. β-blocker are safe, low-cost, and widely available agents for serving as an adjunct to ICB therapy.
4.2. Combining neuroimmune modulation with immunotherapy
The integration of neuroimmune modulation with existing immunotherapies, particularly ICB, holds immense promise for overcoming resistance mechanisms and enhancing therapeutic efficacy. Many neuro-immune interactions contribute to an immunosuppressive TME, which can limit the effectiveness of immunotherapies. By disrupting these pro-tumor neuro-immune pathways, it may be possible to “reprogram” the TME to be more responsive to immune-based treatments.
One clear example comes from NSCLC, where neural infiltration driven by NGF leads to 5-HT secretion, which in turn enhances tumor glycolysis and exacerbates immunosuppression, thereby impacting immunotherapy efficacy (19). The study found that neutralizing this 5-HT-mediated metabolic reprogramming significantly enhanced the efficacy of PD-1 monoclonal antibody treatment. This provides a direct rationale for combining strategies that target neural inputs (e.g., 5-HT signaling) with ICB to improve patient outcomes. Similarly, in prostate cancer, the prevalence of PD-L1 expression in TANs and its inverse correlation with CD8+ TALs suggest that neuro-immunological interactions contribute to an immune-suppressive microenvironment (36). This finding implies that combinatorial treatment regimens targeting neural PD-L1 and TALs, perhaps by modulating neural activity or blocking PD-L1 on nerves, could be warranted in future clinical applications of anti-PD-L1/PD-1 immunotherapy. Propranolol has been shown to be effective by modifying the immune milieu and inhibiting the establishment of tumor vasculature. In particular, it increases T-cell infiltration and decreases MDSC recruitment, which increases susceptibility to therapy that targets cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) (141). This supports combination therapy with checkpoint inhibitors by indicating that propranolol blocks the adrenergic receptor signaling pathway to provide an immunomodulatory impact.
Recently, multimodal neuro-nanotechnology has emerged as a promising strategy for precise modulation of the neuro-immune axis in cancer. This approach integrates nanotechnology-based delivery systems with neural regulation and immunotherapeutic interventions to achieve spatiotemporally controlled modulation of the tumor microenvironment (148). Nanoparticles can be engineered to deliver immunomodulatory agents, neuro-modulatory molecules, or gene-editing cargos directly to tumor-associated neural and immune compartments, thereby enhancing antitumor immune responses while minimizing systemic toxicity (149). In glioblastoma models, neuro-nanotechnology platforms such as spherical nucleic acids and polymer-based nanoparticles have demonstrated the ability to improve immune activation, promote antigen presentation, and overcome local immunosuppression (150, 151). Multimodal neuro-nanotechnology offers an advanced approach to integrate precision immunotherapies with existing systemic immunotherapies, particularly for challenging cancers like GBM (19). This strategy aims to train the immune system to efficiently identify and eradicate cancer cells while minimizing multi-mechanistic immune suppression (152). The controlled, spatiotemporal delivery of structurally defined nanotherapeutics into the TME, for instance, can activate antigen-presenting cells and prime antigen-specific T cells. The efficacy of such nanotechnology-based immunotherapies can be enhanced when integrated with emerging precision surgical techniques and when combined with systemic immunotherapies, especially inhibitors of immune-mediated checkpoints and immunosuppressive adenosine signaling (148). This represents a sophisticated integration of neuro-technology, nanotechnology, and immunotherapy to overcome treatment resistance (153). Despite its considerable therapeutic potential, several major challenges currently limit the clinical translation of multimodal neuro-nanotechnology. First, achieving efficient and selective delivery across biological barriers, particularly the blood–brain barrier, remains technically difficult (148, 154). Second, nanoparticle biodistribution, long-term biosafety, and immune-related toxicity require further evaluation in human studies (155). In addition, the complexity of integrating neural modulation with immunotherapy introduces substantial challenges in treatment standardization, dosing optimization, and reproducibility across tumor types. Therefore, although multimodal neuro-nanotechnology represents a highly innovative direction for cancer therapy, most applications remain in the preclinical stage and require further validation before widespread clinical implementation.
Future therapeutic strategies may focus on integrating neuro-modulatory approaches with precision immunotherapy, epigenetic regulation, and nanotechnology-based delivery systems to achieve spatiotemporally controlled remodeling of the tumor neuroimmune microenvironment. Emerging approaches targeting neural innervation, neurotransmitter signaling, and neuroimmune metabolic reprogramming may further improve therapeutic responsiveness and overcome immunosuppressive resistance mechanisms.
4.3. Epigenetic regulation and impact on the neuroimmune microenvironment
Epigenetic mechanisms, including DNA methylation, histone modifications, and non-coding RNA regulation, play a fundamental role in controlling gene expression without altering the underlying DNA sequence. In the context of cancer, epigenetic dysregulation is a well-established driver of tumorigenesis and progression. Increasing studies are revealing that epigenetic modifications also profoundly influence neuro-immune interactions within the TME, impacting both neural plasticity and immune cell function, thereby offering novel targets for therapeutic intervention. The intricate interplay between epigenetic regulation and the neuroimmune microenvironment is multifaceted. Epigenetic changes can directly affect the expression of genes involved in neural development, neurotransmitter synthesis, and neurotrophic factor signaling within the TME. Conversely, signals from the nervous system and immune cells can induce epigenetic modifications in cancer cells and other stromal components, further shaping the tumor landscape. For instance, the neurotrophic factors and neurotransmitters discussed in earlier sections can activate signaling pathways that lead to changes in chromatin structure and gene expression, influencing the phenotype and function of cells in the TME. Neurotransmitters and neuroendocrine mediators, including norepinephrine, dopamine, and acetylcholine, can activate intracellular signaling pathways in immune cells through receptor-dependent mechanisms, thereby inducing epigenetic alterations such as DNA methylation, histone modification, and non-coding RNA regulation. These epigenetic changes subsequently reshape transcriptional programs that govern immune cell activation, differentiation, cytokine production, and immune exhaustion (156, 157).
Previous research has indicated that epigenetic modifications are crucial in controlling the development and adaptability of CD8+T cells (158, 159). Through changes in histone modification states that either stimulate or inhibit gene transcription, these mechanisms synchronize effector-associated transcriptional programs with dynamic epigenetic remodeling (159, 160). Targeting inhibitory transcription factors (TFs) and epigenetic regulators can improve T cell activity. According to Ghoneim HE et al.’s study, CD8+ T cells with Dnmt3a deficiency showed improved effector functions and increased sensitivity to PD-1 inhibition because they lacked the gene-specific methylation program found in wild-type T cells (161). A similar mechanism has been observed in patients with chronic lymphocytic leukemia, TET2-deficient CD19 CAR T cells showed a changed epigenetic landscape, rerouting their development trajectory toward persistent anticancer activity and causing remission (162). In melanoma, Liu G et al. has recently discovered PR domain zinc finger protein 12 (Prdm12) as a major epigenetic modulator of CD8+ T cell antitumor immunity using an in vivo CRISPR screen with an MKO library (163). Prdm12 regulates T cell activation, differentiation dynamics, migratory capacity, and cytotoxic activity, according to the study. This study provides crucial data for developing immunotherapy or neuro-immunotherapy techniques through Prdm12 targeting and demonstrates the important regulatory role of Prdm12 in T cell effector differentiation (163).The above findings highlight how epigenetic modification can be used therapeutically to overcome ICB resistance and address the drawbacks of CAR T cell treatments, specifically their functional persistence and durability. Additionally, in endogenous or adoptively transferred T cell treatments, epigenetic patterns could function as prognostic biomarkers for clinical outcomes.
In addition, recent neuroimmune studies indicate that neural stress-related signaling may induce persistent epigenetic reprogramming of immune cells, generating long-lasting inflammatory or immunosuppressive phenotypes. Histone modifications such as H3K27 acetylation and H3K4 methylation have been implicated in neuroinflammation-associated immune memory and microglial activation, highlighting the dynamic role of epigenetic mechanisms in mediating neural regulation of immune responses (164). These findings suggest that epigenetic regulation is not merely an independent modulatory layer but a central mechanistic mediator through which neural signals reshape immune cell behavior in cancer. Targeting these neuro-epigenetic pathways may therefore provide novel opportunities for precision modulation of the tumor neuroimmune microenvironment and enhancement of cancer immunotherapy. While the provided literature does not explicitly delve into the direct epigenetic regulation of neuro-immune interactions in cancer, the pervasive nature of epigenetic control in both neural and immune systems strongly implies its significant, albeit underexplored, role. Future research directions could explicitly investigate how neural signals (e.g., neurotransmitters, neurotrophic factors) induce epigenetic changes in immune cells within the TME, and how epigenetic alterations in cancer cells or stromal cells influence their responsiveness to neural modulation. Understanding these epigenetic layers of regulation could uncover novel therapeutic targets, allowing for the development of epigenetic drugs that specifically reprogram the neuroimmune microenvironment to favor anti-tumor immunity. This represents a critical research gap and a promising frontier for advancing our understanding and treatment of cancer. Although current evidence directly linking epigenetic regulation to neuroimmune interactions in cancer remains limited, emerging studies suggest that neuro-epigenetic remodeling may represent an important future direction for understanding tumor-associated neuroimmune regulation and therapeutic resistance.
5. Discussion: challenges and opportunities
The rapidly evolving field of neuro-immune interactions in cancer has unveiled a complex and dynamic landscape, offering profound insights into tumor biology and promising avenues for therapeutic innovation. However, translating this intricate understanding into effective clinical strategies presents a multitude of challenges that necessitate focused future research. The previous studies, while illuminating, also highlight significant gaps in our knowledge and methodological limitations that must be addressed to fully harness the potential of the neuro-immune axis in oncology.
One of the primary challenges lies in the heterogeneity and complexity of neuro-immune interactions across different cancer types and anatomical locations (82, 165). As highlighted, the role of the nervous system can vary significantly, with sympathetic signaling often promoting tumor progression (45, 166), while parasympathetic roles are more variable (44, 166, 167), and sensory nerve activity can have contradictory effects depending on tumor stage and aggressiveness (165, 168). For instance, PDAC exhibits distinct neuro-immune interactions involving Schwann cells and neurotrophic factors (18, 46), while GBM presents unique challenges due to neuroinflammation and the BBB (39). Future research must move beyond generalized observations to Future research needs to systematically map these interactions across a broader spectrum of cancers, conducting tissue-specific and cancer-type-specific analyses to delineate the precise neural circuits, molecular mediators, and immune cell populations involved in each context.
A second challenge is the bidirectional and dynamic characteristic of neuro-immune interaction, which makes it difficult to pinpoint primary drivers and effective intervention points. Cancer cells influence nerve growth, and nerves influence cancer cells and immune cells, creating complex feedback loops (34, 169). For example, tumor-released small sEVs attract nociceptive nerves, which then promote immunosuppression (35). Methodological limitations also pose a significant hurdle. While animal models provide valuable insights, translating findings to humans is complex. The intricate innervation patterns and neuro-immune circuits in humans are difficult to fully recapitulate in preclinical models. Mafe AN et al. mentioned standardized multi-omics approaches and bi-directional research frameworks integrating microbiome, neuroscience, and oncology, particularly in human longitudinal studies, to overcome current limitations in understanding the gut-brain-cancer connection (42). Future studies need to employ longitudinal and dynamic models that can capture these evolving interactions over time, from early tumorigenesis to metastasis and treatment response. This could involve advanced in vivo imaging techniques and sophisticated ex vivo co-culture systems that mimic the complexity of the TME.
Thirdly, the translation of promising preclinical findings into effective clinical therapies faces significant hurdles. While strategies like targeting neural inputs (e.g., denervation, β-blockers, neurotrophic factor inhibitors) and combining neuroimmune modulation with immunotherapy show promise (19, 89), clinical trials are needed to validate their efficacy and safety. The systemic nature of some neuro-immune interventions (e.g., targeting gut microbiota metabolites) also requires careful consideration of potential off-target effects (42). Future efforts should focus on developing highly specific and localized neuro-modulatory agents to minimize systemic toxicity, potentially leveraging advanced delivery systems like multimodal neuro-nanotechnology (148, 153).
In summary, the field of neuro-immune interactions in cancer is rapidly advancing, moving from descriptive observations to mechanistic insights. The challenges ahead involve overcoming tumor and patient heterogeneity, refining methodological approaches, elucidating dynamic feedback loops, improving drug delivery to neural sites, and effectively integrating neuroimmune modulation with existing cancer therapies. Future directions will focus on precision medicine approaches, leveraging advanced multi-omics and spatial technologies, developing novel nanotechnologies, and designing innovative combination therapies that target specific neuro-immune pathways to both combat cancer progression and alleviate patient suffering. The goal is to translate this profound understanding into tangible clinical benefits, offering new hope for patients facing this complex disease.
6. Conclusion
In conclusion, the neuro-immune axis has emerged as a fundamental regulator of cancer progression and therapeutic responsiveness. Evidence suggests that tumor-associated neural infiltration and neurotransmitter release actively reshape the tumor microenvironment by promoting immunosuppressive signaling pathways, including IL-10- and TGF-β-mediated immune regulation. This neuroimmune remodeling suppresses antitumor immune responses and facilitates tumor growth, metastasis, and therapeutic resistance, particularly in breast and colorectal cancers. Looking forward, integrating neuroscience, immunology, and oncology with emerging technologies such as single-cell sequencing, spatial transcriptomics, and multimodal neuro-nanotechnology may further elucidate the spatial and molecular architecture of neuroimmune interactions. Deeper investigation of neuro-epigenetic regulation may provide novel opportunities for precision therapeutic targeting and tumor microenvironment reprogramming.
Acknowledgments
The Figures were created with Biorender.com.
Funding Statement
The author(s) declared that financial support was received for this work and/or its publication. This work was supported by grants from the Natural Science Foundation of Gansu Province (24JRRA935, 24JRRA937 and 25JRRA1301), grants from the National Natural Science Foundation of China (82360469), Scientific research projects in the health industry of Gansu Province (GSWSKY2025-23), and Research Project for Introduced Talents of Northwest Minzu University (xbmuyjrc2023020).
Footnotes
Edited by: Lisa Sevenich, Georg Speyer Haus, Germany
Reviewed by: Yan Huang, Peking Union Medical College, China
Vrishika Kulur, Stanford University, United States
Author contributions
JL: Conceptualization, Software, Visualization, Writing – original draft. CuZ: Software, Writing – original draft. CoZ: Writing – review & editing. JP: Formal analysis, Funding acquisition, Writing – review & editing. YL: Formal analysis, Supervision, Writing – review & editing.
Conflict of interest
The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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The author(s) declared that generative AI was not used in the creation of this manuscript.
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References
- 1. de Visser KE, Joyce JA. The evolving tumor microenvironment: From cancer initiation to metastatic outgrowth. Cancer Cell. (2023) 41:374–403. doi: 10.1016/j.ccell.2023.02.016 [DOI] [PubMed] [Google Scholar]
- 2. Sahai E, Astsaturov I, Cukierman E, DeNardo DG, Egeblad M, Evans RM, et al. A framework for advancing our understanding of cancer-associated fibroblasts. Nat Rev Cancer. (2020) 20:174–86. doi: 10.1038/s41568-019-0238-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Pallegar NK, Christian SL. Adipocytes in the tumour microenvironment. Adv Exp Med Biol. (2020) 1234:1–13. doi: 10.1007/978-3-030-37184-5_1 [DOI] [PubMed] [Google Scholar]
- 4. Monje M, Borniger JC, D'Silva NJ, Deneen B, Dirks PB, Fattahi F, et al. Roadmap for the emerging field of cancer neuroscience. Cell. (2020) 181:219–22. doi: 10.1016/j.cell.2020.03.034 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Huang Q, Hu B, Zhang P, Yuan Y, Yue S, Chen X, et al. Neuroscience of cancer: unraveling the complex interplay between the nervous system, the tumor and the tumor immune microenvironment. Mol Cancer. (2025) 24:24. doi: 10.1186/s12943-024-02219-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Boilly B, Faulkner S, Jobling P, Hondermarck H. Nerve dependence: From regeneration to cancer. Cancer Cell. (2017) 31:342–54. doi: 10.1016/j.ccell.2017.02.005 [DOI] [PubMed] [Google Scholar]
- 7. Hayakawa Y, Sakitani K, Konishi M, Asfaha S, Niikura R, Tomita H, et al. Nerve growth factor promotes gastric tumorigenesis through aberrant cholinergic signaling. Cancer Cell. (2017) 31:21–34. doi: 10.1016/j.ccell.2016.11.005 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Stopczynski RE, Normolle DP, Hartman DJ, Ying H, DeBerry JJ, Bielefeldt K, et al. Neuroplastic changes occur early in the development of pancreatic ductal adenocarcinoma. Cancer Res. (2014) 74:1718–27. doi: 10.1158/0008-5472.can-13-2050 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Winkler F, Venkatesh HS, Amit M, Batchelor T, Demir IE, Deneen B, et al. Cancer neuroscience: State of the field, emerging directions. Cell. (2023) 186:1689–707. doi: 10.1016/j.cell.2023.02.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Magnon C, Hondermarck H. The neural addiction of cancer. Nat Rev Cancer. (2023) 23:317–34. doi: 10.1038/s41568-023-00556-8 [DOI] [PubMed] [Google Scholar]
- 11. Li N, Xu X, Liu D, Gao J, Gao Y, Wu X, et al. The delta subunit of the GABA(A) receptor is necessary for the GPT2-promoted breast cancer metastasis. Theranostics. (2023) 13:1355–69. doi: 10.7150/thno.80544 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Leng ZG, Lin SJ, Wu ZR, Guo YH, Cai L, Shang HB, et al. Activation of DRD5 (dopamine receptor D5) inhibits tumor growth by autophagic cell death. Autophagy. (2017) 13:1404–19. doi: 10.1080/15548627.2017.1328347 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Yuan D, Hu J, Ju X, Putz EM, Zheng S, Koda S, et al. NMDAR antagonists suppress tumor progression by regulating tumor-associated macrophages. Proc Natl Acad Sci USA. (2023) 120:e2302126120. doi: 10.1073/pnas.2302126120 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Jacobson A, Yang D, Vella M, Chiu IM. The intestinal neuro-immune axis: crosstalk between neurons, immune cells, and microbes. Mucosal Immunol. (2021) 14:555–65. doi: 10.1038/s41385-020-00368-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Keough MB, Monje M. Neural signaling in cancer. Annu Rev Neurosci. (2022) 45:199–221. doi: 10.1146/annurev-neuro-111020-092702 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Faulkner S, Jobling P, March B, Jiang CC, Hondermarck H. Tumor neurobiology and the war of nerves in cancer. Cancer Discov. (2019) 9:702–10. doi: 10.1158/2159-8290.cd-18-1398 [DOI] [PubMed] [Google Scholar]
- 17. Silverman DA, Martinez VK, Dougherty PM, Myers JN, Calin GA, Amit M. Cancer-associated neurogenesis and nerve-cancer cross-talk. Cancer Res. (2021) 81:1431–40. doi: 10.1158/0008-5472.can-20-2793 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18. Roger E, Martel S, Bertrand-Chapel A, Depollier A, Chuvin N, Pommier RM, et al. Schwann cells support oncogenic potential of pancreatic cancer cells through TGFβ signaling. Cell Death Dis. (2019) 10:886. doi: 10.1038/s41419-019-2116-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Zheng Y, Li L, Shen Z, Wang L, Niu X, Wei Y, et al. Mechanisms of neural infiltration-mediated tumor metabolic reprogramming impacting immunotherapy efficacy in non-small cell lung cancer. J Exp Clin Cancer Res. (2024) 43:284. doi: 10.1186/s13046-024-03202-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Mo RJ, Han ZD, Liang YK, Ye JH, Wu SL, Lin SX, et al. Expression of PD-L1 in tumor-associated nerves correlates with reduced CD8(+) tumor-associated lymphocytes and poor prognosis in prostate cancer. Int J Cancer. (2019) 144:3099–110. doi: 10.1002/ijc.32061 [DOI] [PubMed] [Google Scholar]
- 21. Ma X, Deng K, Sun Y, Wu M. Research trends on cancer neuroscience: a bibliometric and visualized analysis. Front Neurosci. (2024) 18:1408306. doi: 10.3389/fnins.2024.1408306 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Kizil B, De Virgiliis F, Scheiermann C. Neural control of tumor immunity. FEBS J. (2024) 291:4670–9. doi: 10.1111/febs.17280 [DOI] [PubMed] [Google Scholar]
- 23. Dobrenis K, Gauthier LR, Barroca V, Magnon C. Granulocyte colony-stimulating factor off-target effect on nerve outgrowth promotes prostate cancer development. Int J Cancer. (2015) 136:982–8. doi: 10.1002/ijc.29046 [DOI] [PubMed] [Google Scholar]
- 24. Sousa AMM, Meyer KA, Santpere G, Gulden FO, Sestan N. Evolution of the human nervous system function, structure, and development. Cell. (2017) 170:226–47. doi: 10.1016/j.cell.2017.06.036 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Mauffrey P, Tchitchek N, Barroca V, Bemelmans AP, Firlej V, Allory Y, et al. Progenitors from the central nervous system drive neurogenesis in cancer. Nature. (2019) 569:672–8. doi: 10.1038/s41586-019-1219-y [DOI] [PubMed] [Google Scholar]
- 26. Carter RL, Foster CS, Dinsdale EA, Pittam MR. Perineural spread by squamous carcinomas of the head and neck: a morphological study using antiaxonal and antimyelin monoclonal antibodies. J Clin Pathol. (1983) 36:269–75. doi: 10.1136/jcp.36.3.269 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Li J, Kang R, Tang D. Cellular and molecular mechanisms of perineural invasion of pancreatic ductal adenocarcinoma. Cancer Commun (Lond). (2021) 41:642–60. doi: 10.1002/cac2.12188 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Beard CJ, Chen MH, Cote K, Loffredo M, Renshaw AA, Hurwitz M, et al. Perineural invasion is associated with increased relapse after external beam radiotherapy for men with low-risk prostate cancer and may be a marker for occult, high-grade cancer. Int J Radiat Oncol Biol Phys. (2004) 58:19–24. doi: 10.1016/s0360-3016(03)01433-0 [DOI] [PubMed] [Google Scholar]
- 29. Cao Y, Deng S, Yan L, Gu J, Li J, Wu K, et al. Perineural invasion is associated with poor prognosis of colorectal cancer: a retrospective cohort study. Int J Colorectal Dis. (2020) 35:1067–75. doi: 10.1007/s00384-020-03566-2 [DOI] [PubMed] [Google Scholar]
- 30. Bahmad HF, Wegner C, Nuraj J, Avellan R, Gonzalez J, Mendez T, et al. Perineural invasion in breast cancer: a comprehensive review. Cancers (Basel). (2025) 17(12):1900. doi: 10.3390/cancers17121900 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Globig AM, Zhao S, Roginsky J, Maltez VI, Guiza J, Avina-Ochoa N, et al. The β(1)-adrenergic receptor links sympathetic nerves to T cell exhaustion. Nature. (2023) 622:383–92. doi: 10.1038/s41586-023-06568-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Devi S, Alexandre YO, Loi JK, Gillis R, Ghazanfari N, Creed SJ, et al. Adrenergic regulation of the vasculature impairs leukocyte interstitial migration and suppresses immune responses. Immunity. (2021) 54:1219–1230.e7. doi: 10.1016/j.immuni.2021.03.025 [DOI] [PubMed] [Google Scholar]
- 33. Goswami P, Ives AM, Abbott ARN, Bertke AS. Stress hormones epinephrine and corticosterone selectively reactivate HSV-1 and HSV-2 in sympathetic and sensory neurons. Viruses. (2022) 14(5):1115. doi: 10.3390/v14051115 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Li S, Sun Y, Gao D. Role of the nervous system in cancer metastasis. Oncol Lett. (2013) 5:1101–11. doi: 10.3892/ol.2013.1168 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Restaino AC, Ahmadi M, Eichwald T, Nikpoor AR, Walz A, Balood M, et al. Tumor-infiltrating nociceptor neurons promote immunosuppression. Sci Signal. (2025) 18:eads7889. doi: 10.1126/scisignal.ads7889 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Mo RJ, Han ZD, Liang YK, Ye JH, Wu SL, Lin SX, et al. Expression of PD‐L1 in tumor‐associated nerves correlates with reduced CD8+ tumor‐associated lymphocytes and poor prognosis in prostate cancer. Int J Cancer. (2019) 144:3099–110. doi: 10.1002/ijc.32061 [DOI] [PubMed] [Google Scholar]
- 37. Luo W, Wen T, Qu X. Tumor immune microenvironment-based therapies in pancreatic ductal adenocarcinoma: time to update the concept. J Exp Clin Cancer Res. (2024) 43(1):8. doi: 10.1186/s13046-023-02935-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Izumi M, Nakanishi Y, Kang S, Kumanogoh A. Peripheral and central regulation of neuro–immune crosstalk. Inflammation Regeneration. (2024) 44(1):41. doi: 10.1186/s41232-024-00352-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39. Alghamri MS, McClellan BL, Hartlage CS, Haase S, Faisal SM, Thalla R, et al. Targeting neuroinflammation in brain cancer: uncovering mechanisms, pharmacological targets, and neuropharmaceutical developments. Front Pharmacol. (2021) 12. doi: 10.3389/fphar.2021.680021 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Cocco C, Morandi F, Airoldi I. Immune checkpoints in pediatric solid tumors: targetable pathways for advanced therapeutic purposes. Cells. (2021) 10:927. doi: 10.3390/cells10040927 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Xing J, Cai H, Lin Z, Zhao L, Xu H, Song Y, et al. Examining the function of macrophage oxidative stress response and immune system in glioblastoma multiforme through analysis of single-cell transcriptomics. Front Immunol. (2024) 14. doi: 10.3389/fimmu.2023.1288137 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Mafe AN, Büsselberg D. Modulation of the neuro–cancer connection by metabolites of gut microbiota. Biomolecules. (2025) 15:270. doi: 10.3390/biom15020270 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Liang Z, Hore Z, Harley P, Uchenna Stanley F, Michrowska A, Dahiya M, et al. A transcriptional toolbox for exploring peripheral neuroimmune interactions. Pain. (2020) 161:2089–106. doi: 10.1097/j.pain.0000000000001914 [DOI] [PubMed] [Google Scholar]
- 44. Park H, Lee CH. The contribution of the nervous system in the cancer progression. BMB Rep. (2024) 57:167–75. doi: 10.5483/bmbrep.2024-0019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Sattler A, Korzun T, Gupta K, Diba P, Kyprianou N, Eksi SE. Sympathetic nerve signaling rewires the tumor microenvironment: a shift in “microenvironmental-ity. Cancer Metastasis Rev. (2025) 44(1):25. doi: 10.1007/s10555-025-10241-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Demir IE, Friess H, Ceyhan GO. Nerve-cancer interactions in the stromal biology of pancreatic cancer. Front Physiol. (2012) 3:97. doi: 10.3389/fphys.2012.00097 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47. Guillot J, Dominici C, Lucchesi A, Nguyen HTT, Puget A, Hocine M, et al. Sympathetic axonal sprouting induces changes in macrophage populations and protects against pancreatic cancer. Nat Commun. (2022) 13:1985. doi: 10.1038/s41467-022-29659-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. Bernabé DG. Catecholamines mediate psychologic stress-induced cancer progression. Cancer Res. (2021) 81:5144–6. doi: 10.1158/0008-5472.CAN-21-3077 [DOI] [PubMed] [Google Scholar]
- 49. Renz BW, Tanaka T, Sunagawa M, Takahashi R, Jiang Z, Macchini M, et al. Cholinergic signaling via muscarinic receptors directly and indirectly suppresses pancreatic tumorigenesis and cancer stemness. Cancer Discov. (2018) 8:1458–73. doi: 10.1158/2159-8290.cd-18-0046 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Zheng C, Snow BE, Elia AJ, Nechanitzky R, Dominguez-Brauer C, Liu S, et al. Tumor-specific cholinergic CD4(+) T lymphocytes guide immunosurveillance of hepatocellular carcinoma. Nat Cancer. (2023) 4:1437–54. doi: 10.1038/s43018-023-00624-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Karmakar S, Lal G. Role of serotonin receptor signaling in cancer cells and anti-tumor immunity. Theranostics. (2021) 11:5296–312. doi: 10.7150/thno.55986 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Gautam J, Banskota S, Regmi SC, Ahn S, Jeon YH, Jeong H, et al. Tryptophan hydroxylase 1 and 5-HT(7) receptor preferentially expressed in triple-negative breast cancer promote cancer progression through autocrine serotonin signaling. Mol Cancer. (2016) 15:75. doi: 10.1186/s12943-016-0559-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Jiang SH, Li J, Dong FY, Yang JY, Liu DJ, Yang XM, et al. Increased serotonin signaling contributes to the Warburg effect in pancreatic tumor cells under metabolic stress and promotes growth of pancreatic tumors in mice. Gastroenterology. (2017) 153:277–91.e19. doi: 10.1053/j.gastro.2017.03.008 [DOI] [PubMed] [Google Scholar]
- 54. Lamkin DM, Sloan EK, Patel AJ, Chiang BS, Pimentel MA, Ma JC, et al. Chronic stress enhances progression of acute lymphoblastic leukemia via β-adrenergic signaling. Brain Behav Immun. (2012) 26:635–41. doi: 10.1016/j.bbi.2012.01.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55. Suvas S. Role of Substance P neuropeptide in inflammation, wound healing, and tissue homeostasis. J Immunol. (2017) 199:1543–52. doi: 10.4049/jimmunol.1601751 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56. Padmanaban V, Keller I, Seltzer ES, Ostendorf BN, Kerner Z, Tavazoie SF. Neuronal substance P drives metastasis through an extracellular RNA-TLR7 axis. Nature. (2024) 633:207–15. doi: 10.1038/s41586-024-07767-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57. Singh S, Kumaravel S, Dhole S, Roy S, Pavan V, Chakraborty S. Neuropeptide Substance P enhances inflammation-mediated tumor signaling pathways and migration and proliferation of head and neck cancers. Indian J Surg Oncol. (2021) 12:93–102. doi: 10.1007/s13193-020-01210-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Wang Y, Yuan S, Ma J, Liu H, Huang L, Zhang F. Substance P is overexpressed in cervical squamous cell carcinoma and promoted proliferation and invasion of cervical cancer cells in vitro. Eur J Histochem. (2023) 67(3):3746. doi: 10.4081/ejh.2023.3746 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Hou Y, Li J, Ying S. Tryptophan metabolism and gut microbiota: A novel regulatory axis integrating the microbiome, immunity, and cancer. Metabolites. (2023) 13(11):1166. doi: 10.3390/metabo13111166 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Kobayashi H, Iida T, Ochiai Y, Malagola E, Zhi X, White RA, et al. Neuro-mesenchymal interaction mediated by a β2-adrenergic nerve growth factor feedforward loop promotes colorectal cancer progression. Cancer Discov. (2025) 15:202–26. doi: 10.1158/2159-8290.cd-24-0287 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61. Lee SH, Pankaj A, Rickelt S, Ting D, Ferrone C, Patil DT, et al. β2-microglobulin expression is associated with aggressive histology, activated tumor immune milieu, and outcome in colon carcinoma. Am J Clin Pathol. (2024) 162:500–8. doi: 10.1093/ajcp/aqae066 [DOI] [PubMed] [Google Scholar]
- 62. Ke TW, Zwane ST, Chiang SF, Chen TW, Yang PC, Chen LC, et al. Prognostic value of immune cells subsets within the tumor microenvironment in patients with rectal adenocarcinoma. Anticancer Res. (2024) 44:787–96. doi: 10.21873/anticanres.16870 [DOI] [PubMed] [Google Scholar]
- 63. Zhou Q, Jia Z, Mu Y, Xu Y, Gao F, Wang R, et al. A multifunctional biomimetic nanoplatform combined with immune checkpoint blockade for triple-negative breast cancer immunotherapy through inhibiting polarization of M2 macrophages. J Nanobiotechnology. (2025) 23:569. doi: 10.1186/s12951-025-03663-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64. Bedoya-López AF, Ahn S, Ensenyat-Mendez M, Orozco JIJ, Iñiguez-Muñoz S, Llinàs-Arias P, et al. Epigenetic determinants of an immune-evasive phenotype in HER2-low triple-negative breast cancer. NPJ Precis Oncol. (2025) 9:287. doi: 10.1038/s41698-025-01023-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65. Wang W, Li L, Chen N, Niu C, Li Z, Hu J, et al. Nerves in the tumor microenvironment: Origin and effects. Front Cell Dev Biol. (2020) 8:601738. doi: 10.3389/fcell.2020.601738 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66. Kummer KK, Zeidler M, Kalpachidou T, Kress M. Role of IL-6 in the regulation of neuronal development, survival and function. Cytokine. (2021) 144:155582. doi: 10.1016/j.cyto.2021.155582 [DOI] [PubMed] [Google Scholar]
- 67. Yang QQ, Li HN, Xia YT, Tian X, Feng F, Yang J, et al. Red nucleus interleukin-6 evokes tactile allodynia in male rats through modulating spinal pro-inflammatory and anti-inflammatory cytokines. Front Mol Neurosci. (2022) 15:820664. doi: 10.3389/fnmol.2022.820664 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68. Prodjinotho UF, Gres V, Henkel F, Lacorcia M, Dandl R, Haslbeck M, et al. Helminthic dehydrogenase drives PGE(2) and IL-10 production in monocytes to potentiate Treg induction. EMBO Rep. (2022) 23:e54096. doi: 10.15252/embr.202154096 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69. Boyd L, Borniger JC. Tumor-derived small extracellular vesicles reprogram sensory nerves to drive immunosuppression in the tumor microenvironment. Sci Signal. (2025) 18:eady6769. doi: 10.1126/scisignal.ady6769 [DOI] [PubMed] [Google Scholar]
- 70. Su J, Morgani SM, David CJ, Wang Q, Er EE, Huang YH, et al. TGF-β orchestrates fibrogenic and developmental EMTs via the RAS effector RREB1. Nature. (2020) 577:566–71. doi: 10.1038/s41586-019-1897-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71. Chakravarthy A, Khan L, Bensler NP, Bose P, De Carvalho DD. TGF-β-associated extracellular matrix genes link cancer-associated fibroblasts to immune evasion and immunotherapy failure. Nat Commun. (2018) 9:4692. doi: 10.1038/s41467-018-06654-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72. Liu S, Ren J, Ten Dijke P. Targeting TGFβ signal transduction for cancer therapy. Signal Transduct Target Ther. (2021) 6:8. doi: 10.1038/s41392-020-00436-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73. Moon H, Han KH, Ro SW. Pro-tumorigenic roles of TGF-β signaling during the early stages of liver tumorigenesis through upregulation of Snail. BMB Rep. (2017) 50:599–600. doi: 10.5483/bmbrep.2017.50.12.201 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74. Chen CR, Kang Y, Siegel PM, Massagué J. E2F4/5 and p107 as Smad cofactors linking the TGFbeta receptor to c-myc repression. Cell. (2002) 110:19–32. doi: 10.1016/s0092-8674(02)00801-2 [DOI] [PubMed] [Google Scholar]
- 75. Polyak K, Lee MH, Erdjument-Bromage H, Koff A, Roberts JM, Tempst P, et al. Cloning of p27Kip1, a cyclin-dependent kinase inhibitor and a potential mediator of extracellular antimitogenic signals. Cell. (1994) 78:59–66. doi: 10.1016/0092-8674(94)90572-x [DOI] [PubMed] [Google Scholar]
- 76. Travis MA, Sheppard D. TGF-β activation and function in immunity. Annu Rev Immunol. (2014) 32:51–82. doi: 10.1146/annurev-immunol-032713-120257 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77. Cortez VS, Ulland TK, Cervantes-Barragan L, Bando JK, Robinette ML, Wang Q, et al. SMAD4 impedes the conversion of NK cells into ILC1-like cells by curtailing non-canonical TGF-β signaling. Nat Immunol. (2017) 18:995–1003. doi: 10.4049/jimmunol.200.supp.116.16 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78. Sanjabi S, Oh SA, Li MO. Regulation of the immune response by TGF-β: From conception to autoimmunity and infection. Cold Spring Harb Perspect Biol. (2017) 9(6):a022236. doi: 10.1101/cshperspect.a022236 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79. Huang YH, Hu J, Chen F, Lecomte N, Basnet H, David CJ, et al. ID1 mediates escape from TGFβ tumor suppression in pancreatic cancer. Cancer Discov. (2020) 10:142–57. doi: 10.1158/2159-8290.cd-19-0529 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80. Amidi A, Agerbæk M, Wu LM, Pedersen AD, Mehlsen M, Clausen CR, et al. Changes in cognitive functions and cerebral grey matter and their associations with inflammatory markers, endocrine markers, and APOE genotypes in testicular cancer patients undergoing treatment. Brain Imaging Behav. (2016) 11:769–83. doi: 10.1007/s11682-016-9552-3 [DOI] [PubMed] [Google Scholar]
- 81. Sankaranarayanan I, Tavares-Ferreira D, Mwirigi JM, Mejia GL, Burton MD, Price TJ. Inducible co-stimulatory molecule (ICOS) alleviates paclitaxel-induced neuropathic pain via an IL-10-mediated mechanism in female mice. J Neuroinflamm. (2023) 20(1):32. doi: 10.1186/s12974-023-02719-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82. Duan S, Sawyer TW, Witten BL, Song H, Else T, Merchant JL. Spatial profiling reveals tissue‐specific neuro‐immune interactions in gastroenteropancreatic neuroendocrine tumors. J Pathol. (2024) 262:362–76. doi: 10.1002/path.6241 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83. Yin T, Wang G, Wang L, Mudgal P, Wang E, Pan CC, et al. Breaking NGF-TrkA immunosuppression in melanoma sensitizes immunotherapy for durable memory T cell protection. Nat Immunol. (2024) 25:268–81. doi: 10.1038/s41590-023-01723-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84. Lin LF, Doherty DH, Lile JD, Bektesh S, Collins F. GDNF: a glial cell line-derived neurotrophic factor for midbrain dopaminergic neurons. Science. (1993) 260:1130–2. doi: 10.1126/science.8493557 [DOI] [PubMed] [Google Scholar]
- 85. Liu XF, Tang CX, Zhang L, Tong SY, Wang Y, Abdulrahman AA, et al. Down-regulated CUEDC2 increases GDNF expression by stabilizing CREB through reducing its ubiquitination in glioma. Neurochem Res. (2020) 45:2915–25. doi: 10.1007/s11064-020-03140-w [DOI] [PubMed] [Google Scholar]
- 86. Ayanlaja AA, Ji G, Wang J, Gao Y, Cheng B, Kanwore K, et al. Doublecortin undergo nucleocytoplasmic transport via the RanGTPase signaling to promote glioma progression. Cell Commun Signal. (2020) 18:24. doi: 10.1186/s12964-019-0485-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87. Tang CX, Gu YX, Liu XF, Tong SY, Ayanlaja AA, Gao Y, et al. Cross-link regulation of precursor N-cadherin and FGFR1 by GDNF increases U251MG cell viability. Oncol Rep. (2018) 40:443–53. doi: 10.3892/or.2018.6405 [DOI] [PubMed] [Google Scholar]
- 88. Wiesenhofer B, Weis C, Humpel C. Glial cell line-derived neurotrophic factor (GDNF) is a proliferation factor for rat C6 glioma cells: evidence from antisense experiments. Antisense Nucleic Acid Drug Dev. (2000) 10:311–21. doi: 10.1089/oli.1.2000.10.311 [DOI] [PubMed] [Google Scholar]
- 89. Whiteley AE, Ma D, Wang L, Yu SY, Yin C, Price TT, et al. Breast cancer exploits neural signaling pathways for bone-to-meninges metastasis. Science. (2024) 384:eadh5548. doi: 10.1126/science.adh5548 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90. Thiele CJ, Li Z, McKee AE. On Trk--the TrkB signal transduction pathway is an increasingly important target in cancer biology. Clin Cancer Res. (2009) 15:5962–7. doi: 10.1158/1078-0432.ccr-08-0651 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91. Kim MS, Lee WS, Jin W. TrkB promotes breast cancer metastasis via suppression of Runx3 and Keap1 expression. Mol Cells. (2016) 39:258–65. doi: 10.14348/molcells.2016.2310 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92. Ozono K, Ohishi Y, Onishi H, Nakamura K, Motoshita J, Kato M, et al. Brain-derived neurotrophic factor/tropomyosin-related kinase B signaling pathway contributes to the aggressive behavior of lung squamous cell carcinoma. Lab Invest. (2017) 97:1332–42. doi: 10.1038/labinvest.2017.45 [DOI] [PubMed] [Google Scholar]
- 93. Tajbakhsh A, Mokhtari-Zaer A, Rezaee M, Afzaljavan F, Rivandi M, Hassanian SM, et al. Therapeutic potentials of BDNF/TrkB in breast cancer; current status and perspectives. J Cell Biochem. (2017) 118:2502–15. doi: 10.1002/jcb.25943 [DOI] [PubMed] [Google Scholar]
- 94. Xiong J, Zhou LI, Lim Y, Yang M, Zhu YH, Li ZW, et al. Mature brain-derived neurotrophic factor and its receptor TrkB are upregulated in human glioma tissues. Oncol Lett. (2015) 10:223–7. doi: 10.3892/ol.2015.3181 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95. Chen B, Liang Y, He Z, An Y, Zhao W, Wu J. Autocrine activity of BDNF induced by the STAT3 signaling pathway causes prolonged TrkB activation and promotes human non-small-cell lung cancer proliferation. Sci Rep. (2016) 6:30404. doi: 10.1038/srep30404 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96. Yaniv D, Mattson B, Talbot S, Gleber-Netto FO, Amit M. Targeting the peripheral neural-tumour microenvironment for cancer therapy. Nat Rev Drug Discov. (2024) 23:780–96. doi: 10.1038/s41573-024-01017-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97. Eng JW, Kokolus KM, Reed CB, Hylander BL, Ma WW, Repasky EA. A nervous tumor microenvironment: the impact of adrenergic stress on cancer cells, immunosuppression, and immunotherapeutic response. Cancer Immunol Immunother. (2014) 63:1115–28. doi: 10.1007/s00262-014-1617-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98. Zhang D, Ma Q, Wang Z, Zhang M, Guo K, Wang F, et al. β2-adrenoceptor blockage induces G1/S phase arrest and apoptosis in pancreatic cancer cells via Ras/Akt/NFκB pathway. Mol Cancer. (2011) 10:146. doi: 10.1186/1476-4598-10-146 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99. Zahalka AH, Arnal-Estapé A, Maryanovich M, Nakahara F, Cruz CD, Finley LWS, et al. Adrenergic nerves activate an angio-metabolic switch in prostate cancer. Science. (2017) 358:321–6. doi: 10.1126/science.aah5072 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100. Pundavela J, Roselli S, Faulkner S, Attia J, Scott RJ, Thorne RF, et al. Nerve fibers infiltrate the tumor microenvironment and are associated with nerve growth factor production and lymph node invasion in breast cancer. Mol Oncol. (2015) 9:1626–35. doi: 10.1016/j.molonc.2015.05.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101. Kamiya A, Hayama Y, Kato S, Shimomura A, Shimomura T, Irie K, et al. Genetic manipulation of autonomic nerve fiber innervation and activity and its effect on breast cancer progression. Nat Neurosci. (2019) 22:1289–305. doi: 10.1038/s41593-024-01628-0 [DOI] [PubMed] [Google Scholar]
- 102. Berthoud HR, Neuhuber WL. Functional and chemical anatomy of the afferent vagal system. Auton Neurosci. (2000) 85:1–17. doi: 10.1016/s1566-0702(00)00215-0 [DOI] [PubMed] [Google Scholar]
- 103. Bauer KC, Trehan R, Ruf B, Myojin Y, Benmebarek MR, Ma C, et al. The gut microbiome controls liver tumors via the vagus nerve. bioRxiv. (2024) 2024.01.23.576951. doi: 10.1101/2024.01.23.576951 [DOI] [Google Scholar]
- 104. Zhao CM, Hayakawa Y, Kodama Y, Muthupalani S, Westphalen CB, Andersen GT, et al. Denervation suppresses gastric tumorigenesis. Sci Transl Med. (2014) 6:250ra115. doi: 10.1126/scitranslmed.3009569 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105. Magnon C, Hall SJ, Lin J, Xue X, Gerber L, Freedland SJ, et al. Autonomic nerve development contributes to prostate cancer progression. Science. (2013) 341:1236361. doi: 10.1126/science.1236361 [DOI] [PubMed] [Google Scholar]
- 106. Zahalka AH, Frenette PS. Nerves in cancer. Nat Rev Cancer. (2020) 20:143–57. doi: 10.1038/s41568-019-0237-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107. Zhao Y, Wang X, Wang T, Hu X, Hui X, Yan M, et al. Acetylcholinesterase, a key prognostic predictor for hepatocellular carcinoma, suppresses cell growth and induces chemosensitization. Hepatology. (2011) 53:493–503. doi: 10.1002/hep.24079 [DOI] [PubMed] [Google Scholar]
- 108. Yu H, Xia H, Tang Q, Xu H, Wei G, Chen Y, et al. Acetylcholine acts through M3 muscarinic receptor to activate the EGFR signaling and promotes gastric cancer cell proliferation. Sci Rep. (2017) 7:40802. doi: 10.1038/srep40802 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109. Song P, Sekhon HS, Fu XW, Maier M, Jia Y, Duan J, et al. Activated cholinergic signaling provides a target in squamous cell lung carcinoma. Cancer Res. (2008) 68:4693–700. doi: 10.1158/0008-5472.can-08-0183 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110. Cheng K, Samimi R, Xie G, Shant J, Drachenberg C, Wade M, et al. Acetylcholine release by human colon cancer cells mediates autocrine stimulation of cell proliferation. Am J Physiol Gastrointest Liver Physiol. (2008) 295:G591–7. doi: 10.1152/ajpgi.00055.2008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111. Olofsson PS, Steinberg BE, Sobbi R, Cox MA, Ahmed MN, Oswald M, et al. Blood pressure regulation by CD4(+) lymphocytes expressing choline acetyltransferase. Nat Biotechnol. (2016) 34:1066–71. doi: 10.1038/nbt.3663 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112. Saraiva-Santos T, Zaninelli TH, Pinho-Ribeiro FA. Modulation of host immunity by sensory neurons. Trends Immunol. (2024) 45:381–96. doi: 10.1016/j.it.2024.03.005 [DOI] [PubMed] [Google Scholar]
- 113. Balood M, Ahmadi M, Eichwald T, Ahmadi A, Majdoubi A, Roversi K, et al. Nociceptor neurons affect cancer immunosurveillance. Nature. (2022) 611:405–12. doi: 10.1038/s41586-022-05374-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114. Martel Matos AA, Scheff NN. Sensory neurotransmission and pain in solid tumor progression. Trends Cancer. (2025) 11:309–20. doi: 10.1016/j.trecan.2025.01.003 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115. Zhang Y, Lin C, Liu Z, Sun Y, Chen M, Guo Y, et al. Cancer cells co-opt nociceptive nerves to thrive in nutrient-poor environments and upon nutrient-starvation therapies. Cell Metab. (2022) 34:1999–2017.e10. doi: 10.1016/j.cmet.2022.10.012 [DOI] [PubMed] [Google Scholar]
- 116. McIlvried LA, Atherton MA, Horan NL, Goch TN, Scheff NN. Sensory neurotransmitter calcitonin gene-related peptide modulates tumor growth and lymphocyte infiltration in oral squamous cell carcinoma. Adv Biol (Weinh). (2022) 6:e2200019. doi: 10.1002/adbi.202200019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117. Tibensky M, Blasko F, Vargovic P, Jakubikova J, Cholujova D, Jakubechova J, et al. Topical application of local anesthetics to melanoma increases the efficacy of anti-PD-1 therapy. Neoplasma. (2023) 70:375–89. doi: 10.4149/neo_2023_230418n216 [DOI] [PubMed] [Google Scholar]
- 118. Zhi X, Wu F, Qian J, Ochiai Y, Lian G, Malagola E, et al. Nociceptive neurons promote gastric tumour progression via a CGRP-RAMP1 axis. Nature. (2025) 640:802–10. doi: 10.1038/s41586-025-08591-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119. Jessen KR, Mirsky R. The repair Schwann cell and its function in regenerating nerves. J Physiol. (2016) 594:3521–31. doi: 10.1113/jp270874 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120. Renthal W, Tochitsky I, Yang L, Cheng YC, Li E, Kawaguchi R, et al. Transcriptional reprogramming of distinct peripheral sensory neuron subtypes after axonal injury. Neuron. (2020) 108:128–144.e9. doi: 10.1016/j.neuron.2020.07.026 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121. Cheng YC, Snavely A, Barrett LB, Zhang X, Herman C, Frost DJ, et al. Topoisomerase I inhibition and peripheral nerve injury induce DNA breaks and ATF3-associated axon regeneration in sensory neurons. Cell Rep. (2021) 36:109666. doi: 10.1016/j.celrep.2021.109666 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122. Deborde S, Gusain L, Powers A, Marcadis A, Yu Y, Chen CH, et al. Reprogrammed Schwann cells organize into dynamic tracks that promote pancreatic cancer invasion. Cancer Discov. (2022) 12:2454–73. doi: 10.1158/2159-8290.cd-21-1690 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123. Azevedo FA, Carvalho LR, Grinberg LT, Farfel JM, Ferretti RE, Leite RE, et al. Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain. J Comp Neurol. (2009) 513:532–41. doi: 10.1002/cne.21974 [DOI] [PubMed] [Google Scholar]
- 124. Horbinski C, Nabors LB, Portnow J, Baehring J, Bhatia A, Bloch O, et al. NCCN Guidelines® Insights: Central nervous system cancers, Version 2.2022. J Natl Compr Canc Netw. (2023) 21:12–20. doi: 10.6004/jnccn.2023.0002 [DOI] [PubMed] [Google Scholar]
- 125. Venkatesh HS, Tam LT, Woo PJ, Lennon J, Nagaraja S, Gillespie SM, et al. Targeting neuronal activity-regulated neuroligin-3 dependency in high-grade glioma. Nature. (2017) 549:533–7. doi: 10.1038/nature24014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126. Pan Y, Hysinger JD, Barron T, Schindler NF, Cobb O, Guo X, et al. NF1 mutation drives neuronal activity-dependent initiation of optic glioma. Nature. (2021) 594:277–82. doi: 10.1093/neuonc/noab196.851 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127. Venkataramani V, Tanev DI, Strahle C, Studier-Fischer A, Fankhauser L, Kessler T, et al. Glutamatergic synaptic input to glioma cells drives brain tumour progression. Nature. (2019) 573:532–8. doi: 10.1038/s41586-019-1564-x [DOI] [PubMed] [Google Scholar]
- 128. Chen P, Wang W, Liu R, Lyu J, Zhang L, Li B, et al. Olfactory sensory experience regulates gliomagenesis via neuronal IGF1. Nature. (2022) 606:550–6. doi: 10.1038/s41586-022-04719-9 [DOI] [PubMed] [Google Scholar]
- 129. Venkatesh HS, Morishita W, Geraghty AC, Silverbush D, Gillespie SM, Arzt M, et al. Electrical and synaptic integration of glioma into neural circuits. Nature. (2019) 573:539–45. doi: 10.1038/s41586-019-1563-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130. Wang X, Prager BC, Wu Q, Kim LJY, Gimple RC, Shi Y, et al. Reciprocal signaling between glioblastoma stem cells and differentiated tumor cells promotes Malignant progression. Cell Stem Cell. (2018) 22:514–528.e5. doi: 10.1016/j.stem.2018.03.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131. Pattwell SS, Arora S, Cimino PJ, Ozawa T, Szulzewsky F, Hoellerbauer P, et al. A kinase-deficient NTRK2 splice variant predominates in glioma and amplifies several oncogenic signaling pathways. Nat Commun. (2020) 11:2977. doi: 10.1038/s41467-020-16786-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 132. Taylor KR, Barron T, Hui A, Spitzer A, Yalçin B, Ivec AE, et al. Glioma synapses recruit mechanisms of adaptive plasticity. Nature. (2023) 623:366–74. doi: 10.1038/s41586-023-06678-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 133. Niesler B, Kuerten S, Demir IE, Schäfer KH. Disorders of the enteric nervous system - a holistic view. Nat Rev Gastroenterol Hepatol. (2021) 18:393–410. doi: 10.1038/s41575-020-00385-2 [DOI] [PubMed] [Google Scholar]
- 134. Yoo BB, Mazmanian SK. The enteric network: Interactions between the immune and nervous systems of the gut. Immunity. (2017) 46:910–26. doi: 10.1016/j.immuni.2017.05.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135. Xu J, Lou S, Huang H, Xu J, Luo F. Regulation and crosstalk of cells and factors in the pancreatic cancer microenvironment. Curr Cancer Drug Targets. (2025) 25:1029–48. doi: 10.2174/0115680096317840240723071018 [DOI] [PubMed] [Google Scholar]
- 136. Shaashua L, Shabat-Simon M, Haldar R, Matzner P, Zmora O, Shabtai M, et al. Perioperative COX-2 and β-adrenergic blockade improves metastatic biomarkers in breast cancer patients in a phase-II randomized trial. Clin Cancer Res. (2017) 23:4651–61. doi: 10.1158/1078-0432.ccr-17-0152 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137. Hiller JG, Cole SW, Crone EM, Byrne DJ, Shackleford DM, Pang JB, et al. Preoperative β-blockade with propranolol reduces biomarkers of metastasis in breast cancer: a phase II randomized trial. Clin Cancer Res. (2020) 26:1803–11. doi: 10.1158/1078-0432.ccr-19-2641 [DOI] [PubMed] [Google Scholar]
- 138. Haldar R, Ricon-Becker I, Radin A, Gutman M, Cole SW, Zmora O, et al. Perioperative COX2 and β-adrenergic blockade improves biomarkers of tumor metastasis, immunity, and inflammation in colorectal cancer: a randomized controlled trial. Cancer. (2020) 126:3991–4001. doi: 10.1002/cncr.32950 [DOI] [PubMed] [Google Scholar]
- 139. Twelves C, Sabel M, Checketts D, Miller S, Tayo B, Jove M, et al. A phase 1b randomised, placebo-controlled trial of nabiximols cannabinoid oromucosal spray with temozolomide in patients with recurrent glioblastoma. Br J Cancer. (2021) 124:1379–87. doi: 10.1038/s41416-021-01259-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140. Galoş EV, Tat TF, Popa R, Efrimescu CI, Finnerty D, Buggy DJ, et al. Neutrophil extracellular trapping and angiogenesis biomarkers after intravenous or inhalation anaesthesia with or without intravenous lidocaine for breast cancer surgery: a prospective, randomised trial. Br J Anaesth. (2020) 125:712–21. doi: 10.1016/j.bja.2020.05.003 [DOI] [PubMed] [Google Scholar]
- 141. Fjæstad KY, Rømer AMA, Goitea V, Johansen AZ, Thorseth ML, Carretta M, et al. Blockade of beta-adrenergic receptors reduces cancer growth and enhances the response to anti-CTLA4 therapy by modulating the tumor microenvironment. Oncogene. (2022) 41:1364–75. doi: 10.1038/s41388-021-02170-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142. Xu Q, Cao Y, Kong F, Liu J, Chen X, Zhao Y, et al. Multiple cancer cell types release LIF and Gal3 to hijack neural signals. Cell Res. (2024) 34:345–54. doi: 10.1038/s41422-024-00946-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143. Benzaquen D, Lawrence YR, Taussky D, Zwahlen D, Oehler C, Champion A. The crosstalk between nerves and cancer—a poorly understood phenomenon and new possibilities. Cancers. (2024) 16:1875. doi: 10.3390/cancers16101875 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144. Koh M, Takahashi T, Kurokawa Y, Kobayashi T, Saito T, Ishida T, et al. Propranolol suppresses gastric cancer cell growth by regulating proliferation and apoptosis. Gastric Cancer. (2021) 24:1037–49. doi: 10.1007/s10120-021-01184-7 [DOI] [PubMed] [Google Scholar]
- 145. Oh MS, Guzner A, Wainwright DA, Mohindra NA, Chae YK, Behdad A, et al. The impact of beta blockers on survival outcomes in patients with non-small-cell lung cancer treated with immune checkpoint inhibitors. Clin Lung Cancer. (2021) 22:e57–62. doi: 10.1016/j.cllc.2020.07.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146. Kokolus KM, Zhang Y, Sivik JM, Schmeck C, Zhu J, Repasky EA, et al. Beta blocker use correlates with better overall survival in metastatic melanoma patients and improves the efficacy of immunotherapies in mice. Oncoimmunology. (2018) 7:e1405205. doi: 10.1080/2162402x.2017.1405205 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147. Mellgard G, Patel VG, Zhong X, Joshi H, Qin Q, Wang B, et al. Effect of concurrent beta-blocker use in patients receiving immune checkpoint inhibitors for advanced solid tumors. J Cancer Res Clin Oncol. (2023) 149:2833–41. doi: 10.21203/rs.3.rs-1719764/v1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148. Kudruk S, Forsyth CM, Dion MZ, Hedlund Orbeck JK, Luo J, Klein RS, et al. Multimodal neuro-nanotechnology: Challenging the existing paradigm in glioblastoma therapy. Proc Natl Acad Sci USA. (2024) 121:e2306973121. doi: 10.1073/pnas.2306973121 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149. Dosta P, Cryer AM, Dion MZ, Shiraishi T, Langston SP, Lok D, et al. Investigation of the enhanced antitumour potency of STING agonist after conjugation to polymer nanoparticles. Nat Nanotechnol. (2023) 18:1351–63. doi: 10.1038/s41565-023-01447-7 [DOI] [PubMed] [Google Scholar]
- 150. Wang F, Huang Q, Su H, Sun M, Wang Z, Chen Z, et al. Self-assembling paclitaxel-mediated stimulation of tumor-associated macrophages for postoperative treatment of glioblastoma. Proc Natl Acad Sci USA. (2023) 120:e2204621120. doi: 10.1073/pnas.2204621120 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151. Sabahi M, Salehipour A, Bazl MSY, Rezaei N, Mansouri A, Borghei-Razavi H. Local immunotherapy of glioblastoma: a comprehensive review of the concept. J Neuroimmunol. (2023) 381:578146. doi: 10.1016/j.jneuroim.2023.578146 [DOI] [PubMed] [Google Scholar]
- 152. Han HH, Kim SJ, Kim J, Park W, Kim C, Kim H, et al. Bimetallic hyaluronate-modified Au@Pt nanoparticles for noninvasive photoacoustic imaging and photothermal therapy of skin cancer. ACS Appl Mater Interfaces. (2023) 15:11609–20. doi: 10.1021/acsami.3c01858 [DOI] [PubMed] [Google Scholar]
- 153. Kim SJ, Kim TY, Kim H, Kim J, Rogers JA, Hahn SK. Multifunctional photonic nanomaterials and devices for digital photomedicine via neuro‐immune cross‐talks. Adv Mater. (2024) 37(49):e2413189. doi: 10.1002/adma.202413189 [DOI] [PubMed] [Google Scholar]
- 154. Shabani L, Abbasi M, Azarnew Z, Amani AM, Vaez A. Neuro-nanotechnology: diagnostic and therapeutic nano-based strategies in applied neuroscience. BioMed Eng Online. (2023) 22:1. doi: 10.1186/s12938-022-01062-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155. Zhang P, Xiao Y, Sun X, Lin X, Koo S, Yaremenko AV, et al. Cancer nanomedicine toward clinical translation: obstacles, opportunities, and future prospects. Med. (2023) 4:147–67. doi: 10.1016/j.medj.2022.12.001 [DOI] [PubMed] [Google Scholar]
- 156. Xiao L, Li X, Fang C, Yu J, Chen T. Neurotransmitters: promising immune modulators in the tumor microenvironment. Front Immunol. (2023) 14:1118637. doi: 10.3389/fimmu.2023.1118637 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157. Entschladen F, Drell T, Lang K, Joseph J, Zaenker KS. Tumour-cell migration, invasion, and metastasis: navigation by neurotransmitters. Lancet Oncol. (2004) 5:254–8. doi: 10.1016/s1470-2045(04)01431-7 [DOI] [PubMed] [Google Scholar]
- 158. Liu Z, Zuo L, Zhou Z, Liu S, Ba Y, Zuo A, et al. Targeting immunosenescence for improved tumor immunotherapy. MedComm (2020). (2024) 5:e777. doi: 10.1002/mco2.777 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159. Frias AB, Boi SK, Lan X, Youngblood B. Epigenetic regulation of T cell adaptive immunity. Immunol Rev. (2021) 300:9–21. doi: 10.1111/imr.12943 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160. Henning AN, Roychoudhuri R, Restifo NP. Epigenetic control of CD8(+) T cell differentiation. Nat Rev Immunol. (2018) 18:340–56. doi: 10.1038/nri.2017.146 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161. Ghoneim HE, Fan Y, Moustaki A, Abdelsamed HA, Dash P, Dogra P, et al. De novo epigenetic programs inhibit PD-1 blockade-mediated T cell rejuvenation. Cell. (2017) 170:142–57.e19. doi: 10.1016/j.cell.2017.06.007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162. Fraietta JA, Nobles CL, Sammons MA, Lundh S, Carty SA, Reich TJ, et al. Disruption of TET2 promotes the therapeutic efficacy of CD19-targeted T cells. Nature. (2018) 558:307–12. doi: 10.21417/b72d1q [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163. Liu G, Tian X, Wang Q, Xu S, Jiang Y, Gao Y, et al. Prdm12 governs an epigenetic checkpoint linking neuroimmune cross-talk to CD8(+) T cell exhaustion-suppressed antitumor immunity. Sci Adv. (2025) 11:eadx9221. doi: 10.1126/sciadv.adx9221 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164. Zhao L, Schepp CL, Iskandar M, Tao Y, Dey M. Epigenetic regulation of immune cells in central nervous system: from steady state to pathology. Neurochem Int. (2025) 188:106005. doi: 10.1016/j.neuint.2025.106005 [DOI] [PubMed] [Google Scholar]
- 165. Erin N, Shurin GV, Baraldi JH, Shurin MR. Regulation of carcinogenesis by sensory neurons and neuromediators. Cancers. (2022) 14:2333. doi: 10.3390/cancers14092333 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 166. Kamiya A, Hiyama T, Fujimura A, Yoshikawa S. Sympathetic and parasympathetic innervation in cancer: therapeutic implications. Clin Auton Res. (2021) 31:165–78. doi: 10.1007/s10286-020-00724-y [DOI] [PubMed] [Google Scholar]
- 167. Tibensky M, Mravec B. Role of the parasympathetic nervous system in cancer initiation and progression. Clin Transl Oncol. (2021) 23:669–81. doi: 10.1007/s12094-020-02465-w [DOI] [PubMed] [Google Scholar]
- 168. Darragh LB, Nguyen A, Pham TT, Idlett-Ali S, Knitz MW, Gadwa J, et al. Sensory nerve release of CGRP increases tumor growth in HNSCC by suppressing TILs. Med. (2024) 5:254–70.e8. doi: 10.1016/j.medj.2024.02.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169. Lan Y-A, Guo J-X, Yao M-H, Kang Y-T, Liao Z-R, Jing Y-H. The role of neuro-immune interactions in the pathology and pathogenesis of allergic rhinitis. Immunol Invest. (2024) 53:1013–29. doi: 10.1080/08820139.2024.2382792 [DOI] [PubMed] [Google Scholar]



