Your new experience awaits. Try the new design now and help us make it even better

REVIEW article

Front. Immunol., 03 February 2026

Sec. Cancer Immunity and Immunotherapy

Volume 17 - 2026 | https://doi.org/10.3389/fimmu.2026.1735189

This article is part of the Research TopicImmuno-metabolic Approaches for the Treatment of Hepatobiliary and Pancreatic TumorsView all 15 articles

Neutrophils in the hepatocellular carcinoma microenvironment: orchestrators of progression and immunity

  • Guang’anmen Hospital of the Chinese Academy of Traditional Chinese Medicine, Beijing, China

Among all malignant tumors, liver cancer is highly common, and hepatocellular carcinoma (HCC) stands as its most frequently seen pathological form. The majority of HCC patients are difficult to be detected or treated at an early stage. Concurrently, the postoperative recurrence rate remains relatively high, leading to a poor clinical prognosis of HCC. Recently, immunotherapy has made it promising to treat HCC. tumor microenvironment (TME) matters considerably in HCCprogression and metastasis. Neutrophils belong to the innate immune system’s essential elements, and their role as key regulators in the HCC-TME is becoming more widely recognized. By studying neutrophils ‘ pro-tumor and anti-tumor mechanisms in HCC, it is expected to gain a deeper comprehension of the functions of neutrophils and further reveal their biological characteristics. In addition, we analyze the crosstalk between neutrophils and other cellular constituents of the TME, and discuss emerging therapeutic strategies that target neutrophil-centric pathways. A deeper understanding of neutrophil biology will both illuminate the complexity of immune networks in liver cancer and offer a theoretical framework for HCC prevention and treatment.

1 Introduction

Liver cancer poses a major global health burden. Data from the WHO’s International Agency for Research on Cancer shows that in 2022, there were around 870,000 new liver cancer cases and some 760,000 related deaths worldwide (1). It currently ranks as the third leading cause of cancer-related mortality globally, with a five-year relative survival rate of roughly 18% (2), and its incidence is expected to increase in the future. Hepatocellular Carcinoma (HCC) is the most prevalent histopathological subtype of primary liver cancer, representing approximately 85% of all cases (3). HCC is a highly aggressive malignancy characterized by rapid progression, limited therapeutic options, and a poor overall prognosis. Currently, several established clinical treatment modalities, including interventional therapies, surgical resection, liver transplantation, chemotherapy, radiotherapy, and molecular targeted therapies, are available for HCC. However, due to its frequently asymptomatic early phase, HCC is frequently diagnosed at intermediate or advanced stages. Furthermore, tumor recurrence, drug resistance, and metastasis remain key hurdles that impede the effective management of the disease. These limitations underscore the importance of comprehensive treatment strategies, particularly immunotherapy, in improving patient outcomes.

In recent years, as cancer research has shifted from focusing on cancer cells to the entire tumor ecosystem, attention has been drawn to the tumor microenvironment (TME), offering an innovative approach for the search of novel treatment approaches (4) inflammation is tied to approximately 90% of HCC cases, emerging as a pivotal trigger in hepatocarcinogenesis (5, 6). Studies have shown that chronic inflammation drives carcinogenesis by directly inducing gene mutations in hepatocytes (7), while promoting tumor invasion, proliferation, and metastasis by constructing a TME (8). HCC-TME includes two parts: cellular components and their non-cellular counterparts. Among them, the former include tumor-associated neutrophils (TANs), tumor-associated macrophages (TAMs), hepatic stellate cells (HSCs) and cancer-associated fibroblasts (CAFs), etc. The latter, consisting of various extracellular matrices (ECMs), growth factors, inflammatory cytokines, etc., which matter significantly in developing HCC (9, 10)-oncology is undergoing a paradigm shift from “adaptive immunity” (e.g., PD-1 inhibitors) to “innate immunity reprogramming” (11). Over the past decade, neutrophils, boasting their dual role in cancer biology, have attracted considerable attention and are increasingly recognized as critical TME components.Research has demonstrated that neutrophils can actively migrate into the TME along chemotactic gradients established by tumor-secreted cytokines and subsequently differentiate into TANs under the influence of various cytokines present in the microenvironment (12).Moreover, it can manifest as a dual effect of promoting and suppressing tumors, and can transform into each other under certain conditions (13), it may be a breakthrough in microenvironmental regulation of HCC. However, the precise regulatory mechanisms as well as functional roles of neutrophils in HCC are still unclear. This article intends to thoroughly re-evaluate neutrophils ‘ significant role in the occurrence, development, as well as prognosis of HCC, expecting to better understand the immunological microenvironment of HCC and forge a theoretical foundation to improve the efficacy of immunotherapy for HCC and seek novel clinical treatment targets.

2 Biological characteristics and classification of neutrophils

2.1 Overview of the activation and function of neutrophils

Neutrophils originate from myeloid precursor cells in the bone marrow and represent the most abundant granulocyte population, comprising 50%–70% of circulating leukocytes in most mammalian species. These cells serve as critical primary effector cells in innate immune responses (14).Conventionally, neutrophils have been considered to primarily function in host defense, immune regulation, and tissue injury (15),with a short circulating half-life of 4–18 hours (16, 17).However, emerging evidence demonstrates that TANs exhibit significantly extended lifespans, surviving for more than 5 days within the tumor microenvironment (18). This prolonged survival allows TANs to produce and release increased quantities of bioactive molecules, thereby functionally contributing to tumor development and progression.

2.2 Neutrophil heterogeneity and tumorigenesis

2.2.1 Circulating neutrophils’ phenotype and function in tumors

In accordance with neutrophils ‘ density gradient in the blood, they are classified into high-density neutrophil (HDN) as well as low-density neutrophil (LDN). LDN in circulation is an immature, banded or degranulated mature and senescent neutrophil released from the bone marrow, which has an immunosuppressive tumor-promoting effect, while HDN serves as the anti-tumor tool (19). During early cancer development, HDN is dominant and has an overall anti-tumor response. As cancer progresses, LDN becomes dominant, redirecting the neutrophil phenotype toward protumorigenic functions. In addition, according to cell density and surface markers, circulating neutrophils in cancer patients were divided into three subgroups: mature LDN, immature LDN and HDN. According to the terms of different polarizationstates of neutrophils, they are classified as polymorphonuclear granulocyte (PMNs), polymorphonuclear myeloid⁃derived suppressor cells (PMN⁃MDSCs), as well as LDNs and HDNs.

2.2.2 Neutrophils’ phenotype and function in TME

Xue et al. (20) pioneered single-cell RNA sequencing analysis of neutrophils in the HCC-TME, demonstrating that neutrophil heterogeneity is reflected not only in phenotypic markers but also in functional properties. The plasticity and diversity of neutrophils form the basis for the dual potential of TANs within the tumor microenvironment (21). Similar to TAMs, TANs exhibit both pro-tumorigenic and anti-tumorigenic effects (22). In 2009, Fridlender et al. (22) proposed that TANs could be classified into tumor-inhibiting N1 and tumor-promoting N2 subtypes, analogous to the M1/M2 paradigm for TAMs. Studies have demonstrated that N1 TANs inhibit tumor progression through two primary mechanisms: direct cytotoxic killing of tumor cells and indirect activation of other immune cells. Conversely, N2 TANs promote tumor invasion, metastasis, and angiogenesis by releasing tumor-supporting factors and remodeling the extracellular matrix (23, 24). Therefore, preventing TAN conversion to the N2 phenotype has emerged as an important therapeutic strategy. Within the TME, neutrophils are exposed to multiple polarization signals. Tumor-derived transforming growth factor-β (TGF-β) and granulocyte colony-stimulating factor (G-CSF) are dominant drivers that promote N1→N2 conversion (25, 26). Conversely, type I interferon (IFN) signaling antagonizes this process and maintains or restores N1 polarization (27). Thus, therapeutic strategies targeting the TGF-β pathway aim to block N1→N2 conversion, while IFN-based approaches seek to actively promote N1 programming.

However, unlike the well-established M1/M2 TAM paradigm, the N1/N2 TAN classification lacks specific surface markers to clearly distinguish these subsets in tumors. The surface markers, transcriptional regulators, and cytokine profiles of N1/N2 TANs require further characterization (28). With the advancement of single-cell RNA sequencing(scRNA-seq), large-scale multi-omics integration, and mass cytometry technologies, the classification of TANs has evolved from the conventional N1/N2 binary paradigm toward a more nuanced, multi-state lineage model—including inflammatory/chemotactic, immunosuppressive,antigen-presenting cell (APC)-like, and NISG phenotypes et al. Concurrently, candidate markers based on surface molecules (e.g., OLR1, CXCR2, HLA-DR, CD74, LY6E) and transcription factors (e.g., BHLHE40, STAT1, IRF7/IRF9) have been increasingly identified, which lays the foundation for establishing a more accurate TAN classification system. Jaillon et al. (21) classified TANs into immature neutrophils (immature neutrophil) based on the differences in TANs phenotypes, there are four types: immature neutrophil(NI), anti-tumor type (N1 type), pro-tumor type (N2 type), and neutrophil with interferon-stimulated gene signature (NISG). Based on the summary of the current evidence, we have identified a number of functionally distinct TAN subsets that have unique molecular markers and mediate different tumor immune processes. (Table 1).

Table 1
www.frontiersin.org

Table 1. TAN subtype classification and biomarker integration.

2.3 Dual role of neutrophil extracellular traps in HCC

The DNA-histprotein-granule protein complexes released after the activation of neutrophils is also known as NETs, and the formation process of nets is called NETosis. Initially found in the host defence against pathogen invasion, NETs have now been proven important in tumors ‘ occurrence and development (34). For one thing, by promoting tumor metastasis and thrombosis, NETs accelerate disease progression (35). For another, by reproducing the TME, NETs promote inflammation and various types of tumor cell proliferation, differentiation, transfer (36). Some studies also suggest that similar to the dual potential of TANs in tumor development,NETs also have dual effects of promoting and anti-tumor (37). Previous studies on NETs have mainly focused on their overall effects. However, recent studies indicate that the functional duality of NETs appears to be highly context-dependent. In non-HCC tumor models (e.g., pulmonary metastasis). MPO, proteases and histones, among other NETs components, can destroy tumor cells and prevent their development and metastasis (38) However, in established HCC, the overwhelming evidence supports a net pro-tumor effect. The DNA scaffold within NETs and associated HMGB1 activate the TLR9/NF-κB axis to promote HCC cell proliferation and metastasis (39). Similarly, neutrophil elastase (NE) drives angiogenesis by activating MMP-9 and degrading TSP-1 (39). Therefore, while theoretical anti-tumor effects exist, their clinical relevance in HCC is likely limited to highly specific temporal or spatial contexts that remain to be defined.

3 Neutrophils’ recruitment and communication in HCC-TME

However, there are almost no neutrophils in a normal liver. Consequently, where do the neutrophils in HCC-TME come from? And how does it infiltrate into the liver? Generally, it is acknowledged that neutrophils ‘ migration from the bone marrow to the tumor site is divided into three stage (40): 1) expansion and maturation of premature neutrophils in the bone marrow; 2) circulation in the blood vessels by attaching to endothelial cells; and 3) chemotactic movement of neutrophils to the tumor site. In HCC-TME, neutrophils’ activation and recruitment are precisely regulated by multiple factors and pathways, and are the result of communication between different cells (Figure 1).

Figure 1
Illustration depicting the interactions of neutrophils in the tumor microenvironment. Neutrophils from bone marrow travel through blood vessels to the liver, where they interact with various cells. In section A, neutrophils and hepatic stellate cells (HSCs) interact via pathways leading to liver fibrosis. Section B shows neutrophil and macrophage interactions impacting polarization. Section C illustrates the interaction with cancer-associated fibroblasts (CAFs) influencing recruitment. Section D highlights interactions with endothelial cells affecting the vascular membrane. Section E depicts interactions with natural killer (NK) cells impacting tumor cells. Each section includes biological pathways and molecular interactions.

Figure 1. Neutrophils ‘ recruitment and communication in HCC-TME. In section (A) neutrophils and hepatic stellate cells (HSCs) interact via pathways leading to liver fibrosis. Section (B) shows neutrophil and macrophage interactions impacting polarization. Section (C) illustrates the interaction with cancer-associated fibroblasts (CAFs) influencing recruitment. Section (D) highlights interactions with endothelial cells affecting the vascular membrane. Section (E) depicts interactions with natural killer (NK) cells impacting tumor cells.

3.1 Mechanism of neutrophil recruitment mediated by chemokine axes

G-CSF and granulocyte-macrophage colony-stimulating factor (GM-CSF) play a key role in neutrophils ‘ proliferation and maturation (41). G-CSF represents a cytokine, which is produced by a variety of cells, such as macrophages, endothelial cells, as well as cancer cells. Beyond fostering neutrophils’ proliferation and maturation, G-CSF also regulates neutrophil migration (42). GM-CSF has a similar effect. Neutrophils release a variety of chemokines to the TME, including CXCL8, CXCL1, CXCL2, and CXCL5, which bind to their surface receptor CXCR2 and constitute the core pathway of neutrophil activation and recruitment. Within the bone marrow, neutrophil release is primarily dependent on the dynamic balance between the CXCR4 and CXCR2 signalling pathways, as well as their interacting ligands (43). Among them, the CXCR4/CXCL12 axis transmits bone marrow residence signals in a high-affinity and gradient-dependent manner, maintaining the retention of neutrophils in the medullary, while the CXCR2 axis dominates the directional migration of neutrophils to the tumor site (44). G-CSF stimulation triggers the release of mature neutrophils from the bone marrow into peripheral blood. These cells are subsequently recruited to the tumor region in a targeted manner, driven by the chemotactic activity of CXCR2 ligands such as CXCL1, CXCL2, CXCL5, and CXCL8 (45). In addition, G-CSF can also positively regulate the migration ability of neutrophils by reducing the expression levels of CXCR4 and its corresponding ligand CXCL12 (46). Through the synergistic effect of CXCR2 axis, CXCR4 axis, and G-CSF, a stable chemotactic gradient is formed in the tumor microenvironment, which actively guides peripheral blood neutrophils to infiltrate into the tumor. This process notably increases the number of TANs and prompts these cells to tend to polarize into the pro-tumor N2 phenotype, thereby improving tumor angiogenesis, inducing immunosuppression and enhancing the ability of distant metastasis, ultimately accelerating the malignant progression of tumors.

3.2 Neutrophil-mediated intercellular signal crosstalk in HCC-TME

In HCC-TME, neutrophils are not passive effector cells, but rather a dynamic and central hub for signal integration and scheduling. Through precise intercellular signal crosstalk, neutrophils are embedded in a complex cell interaction network, and dynamically communicate with HSCs, TAMs, natural killer (NK) cells, etc., to jointly shape the pro-tumor microenvironment, “weaving” these originally functionally diverse cells into a functionally coordinated tumor-promoting network. This network precisely regulates almost all the key malignant phenotypes of HCC in space and time, such as angiogenesis, invasion and metastasis, immune escape.

3.2.1 Synergistic effect with HSCs and TAMs

Neutrophils build a powerful immunosuppressive network through alliance with immunosuppressive cells, and HSCs and TAMs serve as key effector cells in liver inflammation, and activated HSCs synthesize and secrete a large amount of ECMs, which is deposited in the liver tissue in excess, resulting in abnormal liver structure and/or function, leading to the occurrence of fibrosis. Hepatic fibrosis is considered to be an inevitable stage for most chronic liver diseases ‘ progression to liver cancer (47), so the HSCs and is considered the key factor driving HCC development (48). In alcoholic metabolism-associated steatohepatitis (MASH), NETs accelerate hepatic fibrosis progression by directly activating HSCs and monocytes via NLRP3 (49). Chang et al. (50) showed that S100A8/A9 derived from neutrophils can stimulate HSCs to produce MCP-1 and PDGF-BB through TLR4/MyD88/NF- κβ axis, thereby promoting myofibroblast migration and accelerating the progression of fatty liver injury and fibrosis. Single-cell sequencing analysis based on the tissues of HCC patients revealed (20) that neutrophils were mainly enriched in subpopulations with immunosuppressive characteristics. Among them, CCL4+TANs actively recruit immunosuppressive cells such as macrophages through the CCL4-CCR5 chemotactic axis to jointly maintain the microenvironment’s immunosuppressive state, while IFIT+TANs highly express programmed cell death ligand-1(PD-L1), combine to programmed death-1 (PD-1) on the surface of T cells, direct inhibition of cytotoxic T cells and the secretion of IFN-γ, and weaken the anti-tumor immunity. MMP-9 released by neutrophils can jointly promote the polarization of macrophages towards M2 TAMs by activating latent TGF-β (51).M2 TAMs are the main source of neutrophil chemokines such as CXCL8, which can continuously attract more neutrophils to infiltrate the TME (52). Neutrophils interact with macrophages, intensifying liver inflammation and further damaging the liver (53), which collectively shapes a profoundly immunosuppressive microenvironment and impairs the body’s anti-tumor immune response.

3.2.2 Interaction with CAFs and endothelial cells

Extensive crosstalk between neutrophils and stromal cells is a key link in remodelling the tumor stroma and promoting malignant behaviour. CAFs and endothelial cells are the two main interactors. HCC usually occurs in the context of cirrhosis, which is always associated with an enrichment of activated fibroblasts that are owed to chronic inflammation (54).CAFs are a major component of the TME, providing physical support and secreting various proteins, such as ECMs and hepatocyte growth factor (HGF), which play important roles in the occurrence and development of tumors (55). Neutrophils are the main source of CAFs (56) and have been shown to play significant roles in CAF activation. Takesue et al. (57) demonstrated that NETs can activate HSCs/CAFs through the TLR4/NF- κβ axis. Notably, the recruitment of neutrophils precedes that of CAFs, suggesting their critical involvement in the early stage of establishing the liver metastasis microenvironment. Cheng et al. (58) founded that CAFs can recruit circulating neutrophils through the SDF 1a/CXCR 4 signalling pathway and induce their differentiation into PD-1+ neutrophils, serving as a “response amplifier” for maintaining the continuous infiltration of neutrophils. Thus, an interdependent “matrix modification alliance” can be formed to promote connective tissue proliferation and tumor sclerosis. In the interaction with endothelial cells, the structure of NETs itself can serve as a physical scaffold for endothelial cell migration, and the NE on them can directly promote endothelial cell proliferation. Correspondingly, the activated tumor endothelial cells provide a gateway for the vascular exudation of neutrophils by highly expressing adhesion molecules such as E-selectin and ICAM-1, completing the positive feedback cycle of promoting angiogenesis.

3.2.3 Interaction with NK cells

In addition to the interaction with adaptive immune cells, the strong inhibition of innate immune cells, especially NK cells, by neutrophils is an important link in tumor immune escape. In HCC, the NKp46 ligand expressed by activated neutrophils can bind to the activating receptor NKp46 on the surface of NK cells, inhibiting the cytotoxicity of NK cells and the production of IFN-γ (58, 59), resulting in a significant reduction in NK cells infiltration, particularly in advanced-stage HCC (60). Neutrophils also alleviate NK cells infiltration by inhibiting CCR1 and down-regulating the expression of NKp46 and NKG2D (61). In conclusion, neutrophils inhibit the activity of NK cells to promote tumor cells to evade the cytotoxicity of NK cells (62).

3.3 Heterogeneity of cell interaction networks among different subtypes of HCC

The causes of HCC include alcohol-related liver disease (ALD), metabolic disorder-related steatohepatitis (MASH), viral hepatitis, and other hepatotoxic and liver cancer predisposing factors. It must be pointed out that the neutrophil-dominated cell interaction network has a significant etiological dependence. In nonalcoholic steatohepatitis associated hepatocellular carcinoma (NASH-HCC), against the backdrop of inflammation and fibrosis, neutrophil-HSCs are the core driving tumorigenesis. Zhou et al. (63) indicated that activated neutrophils could directly stimulate the activation of HSCs through ROS and other mechanisms, and that activated HSCs could enhance the survival time of neutrophils by producing granulocyte-macrophage GM-CSF and IL-15, thus aggravating liver inflammation. NETs reprogram the energy metabolism of HSCs through the TLR3-COX-2-PGE2 axis and can activate quiescent HSCs through TLR3 signaling, thereby creating an environment conducive to the initiation of HCC (64). In HBV-HCC, chronic inflammation driven by viral antigens makes the neutrophil-TAM/T cell axis more prominent (65). Two critical players in the immunosuppressive milieu of HBV-related HCC are CD8+ T cells and TAMs (66).Viral antigens and inflammatory factors (e.g., IL-8) continuously recruit neutrophils and monocytes. TAN-N1 indirectly regulatesthe recruitment and activation of CD8+ T cells by producing chemokines and pro-inflammatory cytokines such as CCL3, CCL9, CXCL10, TNF- α, and IL-12, thereby contributing to the restriction of tumor growth (67). Understanding this heterogeneity is crucial for developing etiological specific immunotherapy strategies.

4 Pro-tumor effect of neutrophils in HCC

4.1 Promoting angiogenesis

Angiogenesis, which is the formation of new blood vessels from the existing vascular system, represents a key process for the growth and metastasis of HCC and is regulated by pro-angiogenic factor groups and anti-angiogenic factor groups (68). Vascular endothelial growth factor (VEGF) stands out as the most effective angiogenic factor in tumor angiogenesis. Cyclooxygenase-2 (COX-2), an inducible enzyme that stimulates the overexpression of VEGF, is thought to play a major role in tumor angiogenesis and progression (69). COX-2 and its downstream product PGE2 are highly expressed in HCC, and targeted inhibition of COX-2/PGE2 axis can effectively inhibit HCC angiogenesis, invasion, and metastasis (70, 71). A bioinformatics analysis study revealed the key role of COX-2 in TME, and its high expression level was observed to be closely related to the deposition of neutrophils and poor response to immunotherapy (72). NETs serve as another important factor promoting angiogenesis. The DNA/histone scaffold in NETs can upregulate VEGFR2 through the NF- κβ pathway by activating the TLR4/9 receptors on endothelial cells, thereby enhancing their response to VEGF and drives angiogenesis (18, 73). MMP-9 is a gelatinase, which is stored in the tertiary granules of neutrophils (74), like “molecular scissors”, MMP-9 can degrade the ECMs and basement membrane surrounding the tumor and promote angiogenesis, which removes physical obstacles for the migration and invasion of liver cancer cells, and is the first step for them to leave the primary focus and infiltrate the surrounding tissues. The new blood vessels not only provide nutrition for the growth of the primary tumor, but also provide “entrance” for tumor cells to enter the circulatory system and occur distant metastasis. In addition, neutrophils can also promote tumor development by releasing tumor regulatory protein M (OSM, IL-6, etc.), inducing VEGF expression, promoting tumor angiogenesis and metastasis, and increasing cancer cell infiltration (75, 76).

4.2 Promote the proliferation, migration and invasion of tumor cells

In the process of HCC progression, neutrophils promote the proliferation, migration, and inasieness of tumor cells through a variety of direct and indirectmechanism. Firstly, matrix metalloproteinases (MMP-8, MMP-9) and cathepsin G (Cat-G)released by neutrophils can cleave key matrix components such as endothelial cadherin and fibronectin, resulting in impaired integrity of basement membrane and ECMs (77). This not only causes endothelial dysfunction and vascular inflammation, creating channels for tumor cells to invade blood vessels, but may also facilitates to circulate tumor cells in colonizing distant organs, which is the initial key step in the metastasis process. Secondly, NETs act as important carrying and signalling hubs, playing a pivotal role in HCC metastasis. HBV-induced S100A9 activates RAGE/TLR4-ROS signalling, leading to the generation of a large number of NETs, thereby promoting HCC growth and metastasis (78). Clinical studies (79, 80) indicates that the level of NETs in HCC patients is significantly increased, positively correlated with the potential for tumor metastasis and negatively correlated with the survival rate of patients. The mechanism of action of NETs is multifaceted: NETs can activate dormant tumor cells and induce the release of a large number of proinflammatory factors such as IL-6 and TNF-α in cancer tissues and adjacent tissues. These factors subsequently activate NF-κβ, MAPK, and other signalling pathways, forming a positive feedback loop that continuously amplifies proliferation and migration signals and improves the invasiveness of tumor cells (81, 82). The transmembrane protein CCDC25 can act as a NETs-DNA receptor on cancer cells to sense extracellular NETs and activate the ILK-β-Parvin pathway to promote tumor migration (83). In addition, YANG et al. (80) found that NETs can encapsulate HCC cells, enabling them to resist cytotoxicity and enhance their invasion ability. Concurrently, these cells induce inflammatory responses by activating the TLR4/9-COX2 signalling pathway, promoting tumor metastasis. All these indicated that NETs may act as a “postal package” in the process of distant metastasis of tumors. Another subset of circulating neutrophils, identified as poor prognostic factors for overall survival in HCC patients, promotes HCC progression via the p53 and STAT3 signalling pathways (84).

4.3 Neutrophil-mediated suppression of T cell function and remodelling of the immunosuppressive microenvironment

In the HCC-TME, neutrophils strongly inhibit the activation, proliferation, and effector functions of T cells through various direct and indirect mechanisms, thus emerging as a key builder of the immunosuppressive microenvironment. Its inhibitory effect is mainly manifested in the following three aspects:

4.3.1 Directly inducing apoptosis and functional exhaustion of T cells

N2 TANs can release reactive oxygen species (ROS) and enzymes such as arginase 1 (Arg1), creating an inhibitory metabolic environment (22). On the one hand, high levels of ROS and NO produced by inducible nitric oxide synthase (iNOS) can directly damage T cells and induce their apoptosis (85); on the other, Arg1 promotes immunosuppressive TME by depleting arginine, which is essential for T cell proliferation (86). Furthermore, PD-1 derived from neutrophils can transmit inhibitory signals, leading to T cell dysfunction or even exhaustion (87), thereby promoting immune escape of tumors. Another study has shown that TANs can inhibit T cell activity by releasing peroxide lipids through ferroptosis (88).

4.3.2 Driving the differentiation of regulatory T cells by forming NETs

CD4+ T cells play a key role in immune surveillance of cancer (89, 90), and Tregs undermine cancer immune surveillance by creating an immunosuppressive environment that promotes tumor cell survival. Velliou et al. (91) found that NETs can promote Treg differentiation by activating the Toll-like receptor 4 (TLR4) receptor in CD4+ T cells, thereby promoting HCC progression. However, the detailed regulatory pathways remain to be further studied. WANG et al. (92) revealed that NETs promote Treg differentiation through metabolic reprogramming of naive CD4+ T cells, then secrete inhibitory cytokines, consume IL-2 competitively, and further weaken the anti-tumor response of effector T cells.

4.3.3 Synergistically constructing an immunosuppressive network driven by hypoxia

The hypoxic environment inside the tumor is an important driving force for amplifying the immunosuppressive function of neutrophils (93). HCC cells highly express CXCL5 under hypoxic conditions, and then recruit a large number of TANs to the tumor site through the CXCL5-CXCR2 axis (94). Notably, CXCL5 not only recruits neutrophils through chemotaxis but also boosts the migratory capacity of both macrophages and Tregs (95). These cells interact in HCC-TME and jointly form a stable immunosuppressive network with TANs as an important component, ultimately disrupting the effective immune surveillance of HCC and promoting the immune escape of tumors.

5 Anti-tumor role of neutrophils in HCC

While the pro-tumor functions of N2 TANs dominate in established HCC, a body of evidence supports context-dependent anti-tumor activities of neutrophils, primarily mediated by N1-polarized TANs. These anti-tumor mechanisms are particularly relevant during early tumorigenesis or under specific therapeutic interventions that reprogram neutrophil function.

5.1 N1 TANs activating CD8+ T cells

CD8+ T cells are classic anti-tumor effector cells capable of directly recognizing and eliminating cancer cells. The anti-tumor function of N1 TANs is largely achieved through its activation and synergy with CD8+ T cells. While only a small proportion (4% to 10%) of N1 TANs can interact with tumor cells and exhibit anti-tumor activity at specific time points, their anti-tumor effect in the HCC-TME still cannot be ignored (96). N1 TANs can capture and process tumor antigens and present them directly to CD8+ T cells, thus directly initiating cytotoxic T cells to recognize and attack tumors (22). Spatial transcriptional studies (97) showed that N1 TANs are adjacent to lymphocyte clusters in the tumor tissue in spatial distribution.This proximity of physical location implies that N1 TANs can effectively promote the activation and proliferation of T and B cells locally by secreting specific cytokines or chemokines, thereby enhancing the overall anti-tumor immune response. However, this neutrophil-driven T cell activation effect is significantly time-dependent and is mainly present in the early stages of tumorigenesis (45) With tumor progression, inhibitory signals in the microenvironment (e.g., elevated TGF-β levels) prevail, driving the polarization of N1 TANs toward N2 TANs. Consequently, the T cell-activating capacity of these cells is compromised, and they may even switch to inhibiting T cell function. Therefore, the transformation of neutrophils from “anti-cancer guardians” to “accomplices in promoting cancer” stands out as a key feature of immune escape in liver cancer.

5.2 Neutrophil-mediated anti-tumor immune activation

Neutrophils can interact with CD47-SIRPα to mediate antibody-dependentcell-mediated cytotoxicity (ADCC), directly recognizing and phagocytosing cancer cells (98); Furthermore, they can kill tumor cells by releasing a variety of cytokines and enzymes, such as ROS, NO, and elastase. For example, by secreting NE to hydrolyse CD95 and release its dead domain, they can specifically eliminate cancer cells through interaction with histone H1 isomers (99). They kill tumor cells by releasing hepatocyte growth factor(HGF)/mesenchymal-epithelial transitionfactor (MET)-dependent NO (100).

6 Prognosis and therapy response of neutrophils in HCC

6.1 Role as a prognostic marker for HCC

A growing number of studies have utilized the number of circulating neutrophils and the ratio of neutrophils to lymphocytes as prognostic markers to assess cancer progression. A study (101)reported that absolute neutrophil count is associated with poor relapsion-free survival and cancer-specific survival of intrahepatic cholangiocarcinoma, which can be used to predict disease recurrence. A meta-analysis (102) showed that a high baseline NLR is significantly associated with poor prognosis or recurrence of HCC, especially for patients with a high incidence rate in East Asian populations. Multiple meta-analysis results (103, 104) have shown that elevated NLR levels in HCC patients before liver tumor resection are positively correlated with the occurrence of poor prognosis.

6.2 Relationship with immunotherapy resistance

Neutrophils can express immune checkpoint molecules, such as PD-L1 and V-domain Igsuppressor of T cell activation (VISTA) (105, 106). It has been found that (58, 107) PD-L1+ TANs are significantly enriched in various human and mice tumors, including hepatocellular carcinoma, melanoma, gastric cancer, intrahepatic cholangiocarcinoma, etc. Spatial transcriptomics studies (108) indicated that neutrophils are one of the main cell types expressing PD-L1 in intrahepatic cholangiocarcinoma. Specifically, PD-L1+ TANs are mainly localized near CD8+ T cells in the tumor margin and peritumoral tissues, acting as primary immune cells that suppress CD8+ T cell function. Infiltrating T cells, by binding to their ligands through PD-1 on their surface, exert an immune-negative regulatory effect. They thus inhibit the activation of T cells, cause the cells to stagnate in the quiescent phase of the cell cycle or the pre-DNA synthesis phase, render immune cells dysfunctional or even apoptotic, and participate in the immune escape of tumors, thereby promoting tumor metastasis and progression (109). Through the negative regulatory effect of PD-L1, they can inhibit CD8+ T cell function, lead to anti-PD-1/PD-L1 therapy resistance, and promote tumor development (110, 111). Meanwhile, NETs can activate the TLR4/9 pathway in dendritic cells (DCs) and macrophages, which in turn induces the upregulation of PD-L1 on these cells. Furthermore, within the inflammatory context that NETs contribute to, IFN-γ is produced by cytotoxic T cells and NK cells. This IFN- γ then acts on tumor cells and various immune cells in the tumor microenvironment, resulting in a broad upregulation of PD-L1. In summary, neutrophils directly interface with the PD-L1 immune checkpoint pathway and IFN responses primarily through two mechanisms: the self-expression of PD-L1 upon stimulation, and the perception of IFN-γ signals, which directly stimulates them to upregulate their own PD-L1 expression, thereby amplifying the immunosuppressive feedback loop (112). Therefore, elucidating the precise relationship and regulatory mechanisms between neutrophils and PD-L1 is critical for understanding the fundamental mechanisms of tumor immune escape and for developing innovative immunotherapy strategies, particularly those targeting neutrophil-mediated resistance to checkpoint blockade.

6.3 The role of NETs in the diagnosis and prognosis of HCC

Given the central role of NETs in the progression of HCC, their clinical translational value has become increasingly evident. A study demonstrated elevated NETs levels in both the blood and tumor tissues of HCC patients, with circulating NETs showing a strong correlation with TNM stage and the degree of hepatic dysfunction (80). A risk model constructed using NETs-related genes (HMOX1, MMP-9, TNFRSF4, MMP12, FLT3) effectively stratified HCC patients into high- and low-risk groups, with 1/3/5 year survival prediction AUC values reaching approximately 0.70. The high-risk group exhibited characteristics of an immunosuppressive microenvironment, including upregulation of immune checkpoint genes (PD-L1, CTLA-4), indicating the reliable diagnostic value of NETs markers for prognostic stratification and immunotherapy screening in HCC (113). Postoperative recurrence is one of the main reason for the poor prognosis and death of liver transplant recipients (114). Studies (115) indicated that the serum NETs levels are significantly increased in patients after liver transplantation. Meanwhile, NETs regulate the translocation of inflammatory mediators HMGB1 and M1 polarization of Kupffer cells in acute liver transplantation rejection, and even lead to acute graft rejection after liver transplantation. Therefore, the level of NETs, especially postoperative dynamic monitoring, may have a better predictive value for recurrence than the traditional AFP.

7 Therapeutic strategies targeting neutrophils

7.1 Inhibiting TANs recruitment to enhance immunotherapy efficacy

Preclinical studies have increasingly focused on disrupting pro-tumor TAN recruitment as a therapeutic strategy (116). In murine NASH-HCC models resistant to immune checkpoint inhibition, CXCR2 antagonism combined with anti-PD-1 therapy demonstrated reduced tumor burden and extended survival, accompanied by reprogramming of TANs from a protumor to anti-tumor phenotype (117). This reprogramming was characterized by the formation of granzyme B-enriched immune clusters containing CD8+ T cells and activated XCR1+ dendritic cells, providing mechanistic insight into the synergistic anti-tumor effects observed.

Translation to human HCC has faced significant challenges. A Phase I/II trial evaluating the CXCR2 inhibitor AZD5069 in combination with the anti-PD-L1 antibody durvalumab in advanced HCC, was terminated following discontinuation of AZD5069 development by the manufacturer (118). Importantly, no efficacy or safety results from this trial have been published in the peer-reviewed literature, precluding assessment of clinical activity or survival outcomes.Despite these setbacks, the therapeutic rationale remains compelling. Preclinical data demonstrate that CXCR2 inhibition functions not by simply reducing neutrophil numbers, but by selectively reprogramming TANs to an anti-tumor phenotype while preserving systemic neutrophil function—a critical consideration in HCC patients with underlying cirrhosis who are susceptible to infections (117). This mechanistic insight suggests that biomarker-driven patient selection based on TAN phenotype and tumor microenvironment characteristics may be essential for future clinical development. While AZD5069 development was discontinued, other agents remain in clinical development. SX-682, a dual CXCR1/2 antagonist, is being evaluated in combination with Nivolumab as a maintenance therapy in patients with metastatic pancreatic ductal adenocarcinoma (NCT04477343) (119), and navarixin, another CXCR 2 inhibitor, has demonstrated manageable safety profiles in Phase II studies across multiple cancer types (120). Recent mechanistic studies using single-cell RNA sequencing have further elucidated the IL-8/CXCR2 pathway in HCC immunotherapy resistance (121). These findings provide additional mechanistic support for targeting the CXCR2 axis in HCC.

7.2 Inhibiting the conversion between N1 and N2 phenotypes

As discussed in Section 2.2.2, TGF-β signaling is a key driver of N1→N2 TAN conversion within the HCC microenvironment. Therefore, therapeutic blockade of the TGF-β pathway represents a rational strategy to prevent or reverse pro-tumor neutrophil polarization.The TGF-β receptor I kinase inhibitor Galunisertib (LY2157299) is among the most extensively investigated therapeutic agents. In a Phase II study involving patients with advanced HCC, galunisertib (administered at 150 mg twice daily for 14 days, followed by a 14-day rest period) showed encouraging survival benefits and an acceptable safety profile, with a median time to tumor progression of 4.1 months and a median overall survival of 18.8 months (122). And in another clinical trial, the survival period of the experimental group with TGF-β inhibitor is longer than that of the control group, indicates this improvement may be related to the transformation of TAN phenotype (123). With the accumulation of clinical evidence on TGF-β inhibitors and the emergence of next-generation highly selective preparations, the sequential strategy of “first reshaping the TANs phenotype and then combining immunotherapy/targeted therapy” is expected to become one of the core solutions to break the immunosuppressive microenvironment of HCC and improve long-term efficacy.

7.3 Therapeutic strategies for targeting NETs

NETs play an important role in promoting liver inflammation and tumor growth, and inhibiting the formation of NETs can effectively alleviate the disease. In the STAM mouse model, inhibition of NETs expression levels reduces the inflammatory pattern in the liver, leading to the development of smaller tumors (124). In addition, inhibiting the formation of NETs can reduce the level of T-reg and weaken the inhibitory effect on effector T cells, thereby improving the immune surveillance effect. Besides, both the number and diameter of liver tumors in mice decrease (92). Cheng et al. (125) disrupted the structure of NETs through a hydrogel drug delivery system and found that inhibiting the expression of NETs can prevent the recurrence and metastasis of HCC after hepatectomy or liver transplantation. Direct destruction of NETs by DNase 1, combined with the anti-inflammatory drugs aspirin or hydroxychloroquine, effectively attenuates HCC metastasis in the mouse model (80). This combination strategy provides a feasible drug basis for clinical intervention. Lenvatinib, a multi-target tyrosine kinase inhibitor (TKI), is an emerging first-line therapy for HCC (126). From a mechanism perspective, lenvatinib promotes the expression and secretion of IL-33 in HCC cells, thereby triggering the formation of NETs. DNase I enhances the efficacy of lenvatinib treatment in the HCC mouse model by eliminating NETs. Blocking PAD4 or inhibiting CG can reduce the formation of NETs, while weakening the invasion and metastasis of HCC cells (127). The selective PAD4 inhibitor GSK484 can significantly inhibit NETosis in multiple tumor models and continuously improve the response of lenvatinib to HCC treatment (128). However, the role of PAD4 in gene stability makes the potential safety risks of long-term inhibition still need to be further evaluated. The optimal clinical application of NETs-targeted therapies in HCC requires careful consideration of disease stage and treatment timing. Emerging evidence suggests distinct therapeutic windows for NETs intervention strategies. For patients with early-stage HCC undergoing curative-intent therapies such as surgical resection or liver transplantation, the perioperative period represents a critical window for NETs-targeted intervention. Studies have demonstrated that NETs promote postoperative recurrence and metastasis following hepatectomy (79, 126), suggesting that prophylactic NETs inhibition during the perioperative period (approximately 1–2 weeks before and 4–6 weeks after surgery) may reduce the risk of early recurrence. This approach is particularly relevant given that the 5-year postoperative recurrence rate for early-stage HCC remains as high as 40-70% (129, 130).

In the context of advanced or unresectable HCC, NETs-targeted therapy may be most beneficial when combined with systemic treatments such as lenvatinib or immunotherapy. Recent studies have revealed that lenvatinib paradoxically induces NET formation through the NDUFA4L2/IL33 pathway, contributing to treatment resistance (128). This suggests that concurrent administration of NET inhibitors (such as DNase I or PAD4 inhibitors) with lenvatinib from the initiation of treatment may prevent the development of resistance and improve therapeutic outcomes. Similarly, NETs have been implicated in resistance to immune checkpoint inhibitors by creating an immunosuppressive tumor microenvironment and promoting T cell exhaustion (131, 132).Therefore, combination strategies targeting NETs alongside immunotherapy may be particularly valuable in patients with high baseline NETs levels or in those showing signs of primary resistance to checkpoint inhibitors.

The safety profile of NETs-targeted approaches varies depending on the specific therapeutic strategy. DNase I, which degrades the DNA backbone of NETs, has been used clinically for decades in patients with cystic fibrosis to reduce mucus viscosity, with a well-established safety profile (133). However, systemic DNase I administration in cancer patients may carry risks of increased susceptibility to bacterial infections, particularly in those with pre-existing immunocompromised states or during periods of myelosuppression following chemotherapy. The short half-life of recombinant DNase I necessitates frequent dosing, which may limit its practical application in chronic oncology settings.PAD4 inhibitors represent a more targeted approach to NET inhibition, as PAD4-mediated histone citrullination is essential for chromatin decondensation during NETs formation. The selective PAD4 inhibitor GSK484 has demonstrated efficacy in preclinical cancer models, significantly reducing NET formation and improving response to lenvatinib in HCC (128, 134). However, PAD4 plays important roles beyond NETs formation, including regulation of gene expression and maintenance of genomic stability (135). Long-term PAD4 inhibition may therefore carry theoretical risks of altered gene expression patterns and potential genotoxicity. The development of next-generation PAD4 inhibitors with improved isoform specificity, such as BMS-P5, may help mitigate off-target effects, though comprehensive safety assessments remain necessary (136).

In conclusion, while significant challenges remain in the clinical translation of NETs-targeted therapies for HCC, the growing body of preclinical evidence and the development of innovative delivery strategies provide a strong foundation for future clinical investigation. Careful attention to clinical timing, safety considerations, and localized delivery approaches will be essential for realizing the therapeutic potential of NETs-targeted interventions in HCC management.

7.4 Neutrophils and tumor metabolic reprogramming: the role of neutrophil-derived extracellular vesicles

NDEVs are important carriers for metabolic communication between tumor cells and stromal cells, capable of transporting metabolic enzymes, metabolites, mirnas, etc., and directly reshaping the metabolic state of the receiving cells (137). Studies have revealed that neutrophil-derived extracellular vesicles and NETs residues are key mediators connecting inflammation and metabolism. NDEVs can directly ‘deliver’ complete glycolytic enzymes (e.g., PKM2 and GAPDH) to tumor cells, thereby forcibly enhancing their aerobic glycolytic flux (138). Meanwhile, NETs activate TLR signals on the surface of tumor cells through their protein components (e.g., NE), thereby upregulating the expression of glutaminase-1 and driving the ‘glutamine addiction’ of tumor cells to meet the biosynthetic requirements for their rapid proliferation (138).

Neutrophil-derived metabolic reprogramming offers actionable biomarkers and therapeutic targets that bridge innate immunity and cancer metabolism in HCC. Circulating NETs can be reliably quantified in HCC patient plasma using validated ELISA. Specifically, H3Cit-DNA (citrullinated histone H3-DNA) and MPO-DNA (myeloperoxidase-DNA) complexes serve as specific NET biomarkers, with H3Cit-DNA levels exceeding 200 ng/mL indicating high NET activity and correlating with advanced liver dysfunction (Child-Pugh B/C) and elevated inflammatory markers (139). Furthermore, NDEVs containing PKM2 can be isolated from patient plasma through size-exclusion chromatography. PKM2-containing ectosomes from HCC cells induce macrophage differentiation and promote tumor growth, with PKM2 serving as both a metabolic biomarker and a functional mediator of tumor microenvironment remodeling (140, 141). HCC patients with elevated plasma H3Cit-DNA levels (> 200 ng/mL) or high MPO-DNA complexes represent a distinct molecular subgroup characterized by inflammation-driven pathology, impaired liver function (Child-Pugh score ≥ 7), and heightened systemic inflammation (C-reactive protein elevation) (139). This stratification is clinically relevant, as preclinical studies demonstrate that NETs inhibition significantly reduces HCC tumor growth in nonalcoholic steatohepatitis-associated models (124). Therefore, patients with high NET signatures should be prioritized for neutrophil-targeted clinical trials, as they may derive maximal benefit from therapies targeting the NET-cancer axis.

PKM2-mediated glycolytic reprogramming through NDEVs suggests that tumors with high extracellular vesicle activity may exhibit heightened sensitivity to glycolysis inhibitors. Lactate dehydrogenase A (LDHA) inhibitors, including FX11 and GNE-140, effectively disrupt HCC glycolysis by blocking the conversion of pyruvate to lactate, leading to ATP depletion, proliferation arrest, and apoptosis (142). Additionally, DNase I combined with anti-inflammatory agents (aspirin/hydroxychloroquine) effectively reduces HCC metastasis by disrupting both NETs-mediated inflammation and tumor cell adhesion (80). This dual-pronged approach—simultaneously targeting NETs-mediated inflammatory signaling and tumor metabolic reprogramming—represents a rational combination strategy to disrupt the self-reinforcing oncogenic loop driving HCC progression.

Therefore, neutrophils function as “metabolic regulators” that package inflammatory signals and metabolic instructions into extracellular vesicles and NETs, creating a self-reinforcing oncogenic loop that coordinates chronic inflammation with tumor metabolic reprogramming. Targeting this axis through biomarker-guided patient stratification and rational combination therapies offers a promising translational strategy for HCC treatment.

7.5 Prospects of combined strategies with immunotherapy

In the immune system, immune checkpoints have regulatory functions that maintain immune tolerance and regulate the intensity and duration of immune responses in peripheral tissues. Immunotherapy for HCC using immune checkpoint inhibitors (ICI) has emerged as a highly promising treatment approach (143). Several exploratory studies of ICI have been conducted in the field of liver cancer. Following the release of data from the CheckMate 040, KEYNOTE-240, KEYNOTE-224, and SHR-1210 trials, pembrolizumab (PD-1 monoclonal antibody) and atezolizumab (PD-L1 monoclonal antibody) have been sequentially included in several guidelines and endorsed as clinical treatment choices for liver cancer. Studies have shown (144)that in mouse HCC model, cabozantinib combined with anti-PD-1 antibody can promote neutrophil-mediated immune responses, thereby enhancing the anti-tumor effect of the drug.

8 Beyond the target: direct development of neutrophils as therapeutic agents

In addition to targeting neutrophil infiltration or function, an emerging therapeutic paradigm is to develop neutrophils themselves directly as an intelligent therapeutic tool for HCC. Taking advantage of the natural tendency of neutrophils towards inflammatory and tumor sites, especially in the HCC microenvironment rich in chemokines such as IL-8, the following strategies show great potential.

8.1 As a targeted drug delivery carrier

By taking advantage of the natural chemotaxis of neutrophils, biomimetic nanocarriers can be constructed to achieve precise drug delivery to HCC. For instance, Kang et al. (145)developed nanoparticles coated with neutrophil cell membranes, which perfectly inherited the targeting ability of neutrophils to inflammatory sites and their immune escape characteristics. In the HCC lung metastasis model, such particles loaded with chemotherapy drugs significantly enhanced the drug efficacy and inhibited metastasis. This provides strong evidence for the use of neutrophil components in the treatment of HCC, especially advanced HCC with inflammatory features.

8.2 Adoption and reinfusion of polarized neutrophils

Isolating neutrophils from the patient’s body, reprogramming them from the potential N2 phenotype to the anti-tumor N1 phenotype in vitro, and then reinfusing them is an individualized treatment strategy. Studies have shown that pretreatment of neutrophils with Toll-like receptor agonists (e.g., R848) or IFN-β can polarize them into an N1 state that produces high levels of pro-inflammatory cytokines and has stronger cytotoxicity, thereby inhibiting progression in tumor models (19). This provides a direct approach to reversing the immunosuppressive microenvironment of HCC.

8.3 Engineered CAR-neutrophils

Despite the huge challenges, endowing neutrophils with specific targeting capabilities is a cutting-edge direction. Chang et al. (146) reported that CAR-neutrophils expressing chimeric antigen receptors targeting EGFR demonstrated effective anti-tumor activity in glioma models. Given that specific antigens such as GPC-3 and AFP are often expressed in HCC, the development of CAR-neutrophils targeting these antigens is expected to make them “live drugs” that directly kill HCC cells. Although it is still in the exploration stage at present, considering the powerful phagocytic and killing abilities of neutrophils, the development of CAR-neutrophils targeting HCC-related antigens may become an exciting research direction in the future.

9 Summary and prospects

This review systematically synthesizes the multifaceted roles of neutrophils in the pathogenesis and progression of HCC, along with their potential therapeutic implications. Targeting neutrophils is not intended to replace existing standard therapies, but rather to expand and enhance our therapeutic arsenal. As outlined in perspectives on future cancer treatment, success will inevitably depend on rational combination strategies (147).Accordingly, neutrophil-targeting approaches, including CXCR2 inhibitors, TGF-β inhibitors, and NETs degradation therapies, represent highly promising synergistic partners for established treatments. With several neutrophil-modulating therapies currently in clinical trials for HCC and other malignancies, the therapeutic landscape continues to evolve rapidly.Looking ahead, we are optimistic that with deeper understanding of neutrophil biology and development of tools capable of precisely targeting specific neutrophil subsets or functional states, neutrophil-directed strategies will find their niche in the evolving landscape of precision combination therapy for HCC.

Author contributions

YL: Writing – review & editing, Visualization, Writing – original draft. LW: Supervision, Writing – original draft, Writing – review & editing. JW: Writing – review & editing. DZ: Writing – review & editing, Supervision. WL: Supervision, Conceptualization, Project administration, Writing – review & editing.

Funding

The author(s) declared that financial support was received for this work and/or its publication. This work was supported by High Level Chinese Medical Hospital Promotion Project (no. HLCMH2023086); The Fundamental Research Funds for the Central Public Welfare Research Institutes(No.ZZ19-XRZ-045).

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.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Bray F, Laversanne M, Sung H, Ferlay J, Siegel RL, Soerjomataram I, et al. Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. Ca: A Cancer J Clin. (2024) 74:229–63. doi: 10.3322/caac.21834

PubMed Abstract | Crossref Full Text | Google Scholar

2. Siegel RL, Miller KD, Fuchs HE, and Jemal A. Cancer statistics, 2022. Ca: A Cancer J Clin. (2022) 72:7–33. doi: 10.3322/caac.21708

PubMed Abstract | Crossref Full Text | Google Scholar

3. Shim JH, Jun M, Han S, Lee Y, Lee S, Kim KM, et al. Prognostic nomograms for prediction of recurrence and survival after curative liver resection for hepatocellular carcinoma. Ann Surg. (2015) 261:939–46. doi: 10.1097/SLA.0000000000000747

PubMed Abstract | Crossref Full Text | Google Scholar

4. Chan L, Tsui Y, Ho DW, and Ng IO. Cellular heterogeneity and plasticity in liver cancer. Semin Cancer Biol. (2022) 82:134–49. doi: 10.1016/j.semcancer.2021.02.015

PubMed Abstract | Crossref Full Text | Google Scholar

5. Ringelhan M, Pfister D, O’Connor T, Pikarsky E, and Heikenwalder M. The immunology of hepatocellular carcinoma. Nat Immunol. (2018) 19:222–32. doi: 10.1038/s41590-018-0044-z

PubMed Abstract | Crossref Full Text | Google Scholar

6. Noy R and Pollard JW. Tumor-associated macrophages: from mechanisms to therapy. Immunity. (2014) 41:49–61. doi: 10.1016/j.immuni.2014.06.010

PubMed Abstract | Crossref Full Text | Google Scholar

7. Yang YM, Kim SY, and Seki E. Inflammation and liver cancer: molecular mechanisms and therapeutic targets. Semin Liver Dis. (2019) 39:26–42. doi: 10.1055/s-0038-1676806

PubMed Abstract | Crossref Full Text | Google Scholar

8. Chen C, Wang Z, Ding Y, and Qin Y. Tumor microenvironment-mediated immune evasion in hepatocellular carcinoma. Front Immunol. (2023) 14:1133308. doi: 10.3389/fimmu.2023.1133308

PubMed Abstract | Crossref Full Text | Google Scholar

9. Belhabib I, Zaghdoudi S, Lac C, Bousquet C, and Jean C. Extracellular matrices and cancer-associated fibroblasts: targets for cancer diagnosis and therapy? Cancers (Basel). (2021) 13:3466. doi: 10.3390/cancers13143466

PubMed Abstract | Crossref Full Text | Google Scholar

10. Baghban R, Roshangar L, Jahanban-Esfahlan R, Seidi K, Ebrahimi-Kalan A, Jaymand M, et al. Tumor microenvironment complexity and therapeutic implications at a glance. Cell Communication Signaling: Ccs. (2020) 18:59. doi: 10.1186/s12964-020-0530-4

PubMed Abstract | Crossref Full Text | Google Scholar

11. Sonkin D, Thomas A, and Teicher BA. Cancer treatments: Past, present, and future. Cancer Genet. (2024) 286-287:18–24. doi: 10.1016/j.cancergen.2024.06.002

PubMed Abstract | Crossref Full Text | Google Scholar

12. Saha S and Biswas SK. Tumor-associated neutrophils show phenotypic and functional divergence in human lung cancer. Cancer Cell. (2016) 30:11–3. doi: 10.1016/j.ccell.2016.06.016

PubMed Abstract | Crossref Full Text | Google Scholar

13. Lecot P, Sarabi M, Pereira Abrantes M, Mussard J, Koenderman L, Caux C, et al. Neutrophil heterogeneity in cancer: from biology to therapies. Front Immunol. (2019) 10:2155. doi: 10.3389/fimmu.2019.02155

PubMed Abstract | Crossref Full Text | Google Scholar

14. Mestas J and Hughes CCW. Of mice and not men: differences between mouse and human immunology. J Immunol (Baltimore Md.: 1950). (2004) 172:2731–38. doi: 10.4049/jimmunol.172.5.2731

PubMed Abstract | Crossref Full Text | Google Scholar

15. Kruger P, Saffarzadeh M, Weber ANR, Rieber N, Radsak M, von Bernuth H, et al. Neutrophils: Between host defence, immune modulation, and tissue injury. PloS Pathog. (2015) 11:e1004651. doi: 10.1371/journal.ppat.1004651

PubMed Abstract | Crossref Full Text | Google Scholar

16. Carnevale S, Di Ceglie I, Grieco G, Rigatelli A, Bonavita E, and Jaillon S. Neutrophil diversity in inflammation and cancer. Front Immunol. (2023) 14:1180810. doi: 10.3389/fimmu.2023.1180810

PubMed Abstract | Crossref Full Text | Google Scholar

17. Borregaard N. Neutrophils, from marrow to microbes. Immunity. (2010) 33:657–70. doi: 10.1016/j.immuni.2010.11.011

PubMed Abstract | Crossref Full Text | Google Scholar

18. Ng MSF, Kwok I, Tan L, Shi C, Cerezo-Wallis D, Tan Y, et al. Deterministic reprogramming of neutrophils within tumors. Sci (New York N.Y.). (2024) 383:eadf6493. doi: 10.1126/science.adf6493

PubMed Abstract | Crossref Full Text | Google Scholar

19. Sagiv JY, Michaeli J, Assi S, Mishalian I, Kisos H, Levy L, et al. Phenotypic diversity and plasticity in circulating neutrophil subpopulations in cancer. Cell Rep. (2015) 10:562–73. doi: 10.1016/j.celrep.2014.12.039

PubMed Abstract | Crossref Full Text | Google Scholar

20. Xue R, Zhang Q, Cao Q, Kong R, Xiang X, Liu H, et al. Liver tumour immune microenvironment subtypes and neutrophil heterogeneity. Nature. (2022) 612:141–47. doi: 10.1038/s41586-022-05400-x

PubMed Abstract | Crossref Full Text | Google Scholar

21. Jaillon S, Ponzetta A, Di Mitri D, Santoni A, Bonecchi R, and Mantovani A. Neutrophil diversity and plasticity in tumour progression and therapy. Nat Rev Cancer. (2020) 20:485–503. doi: 10.1038/s41568-020-0281-y

PubMed Abstract | Crossref Full Text | Google Scholar

22. Fridlender ZG, Sun J, Kim S, Kapoor V, Cheng G, Ling L, et al. Polarization of tumor-associated neutrophil phenotype by TGF-beta: “N1” versus “N2” TAN. Cancer Cell. (2009) 16:183–94. doi: 10.1016/j.ccr.2009.06.017

PubMed Abstract | Crossref Full Text | Google Scholar

23. Rawat K, Syeda S, and Shrivastava A. Neutrophil-derived granule cargoes: paving the way for tumor growth and progression. Cancer Metastasis Rev. (2021) 40:221–44. doi: 10.1007/s10555-020-09951-1

PubMed Abstract | Crossref Full Text | Google Scholar

24. Ohms M, Möller S, and Laskay T. An attempt to polarize human neutrophils toward N1 and N2 phenotypes. vitro. Front Immunol. (2020) 11:532. doi: 10.3389/fimmu.2020.00532

PubMed Abstract | Crossref Full Text | Google Scholar

25. Novitskiy SV, Pickup MW, Gorska AE, Owens P, Chytil A, Aakre M, et al. TGF-β receptor II loss promotes mammary carcinoma progression by Th17 dependent mechanisms. Cancer Discov. (2011) 1:430–41. doi: 10.1158/2159-8290.CD-11-0100

PubMed Abstract | Crossref Full Text | Google Scholar

26. Qin F, Liu X, Chen J, Huang S, Wei W, Zou Y, et al. Anti-TGF-β attenuates tumor growth via polarization of tumor associated neutrophils towards an anti-tumor phenotype in colorectal cancer. J Cancer. (2020) 11:2580–92. doi: 10.7150/jca.38179

PubMed Abstract | Crossref Full Text | Google Scholar

27. Andzinski L, Kasnitz N, Stahnke S, Wu C, Gereke M, von Köckritz-Blickwede M, et al. Type I IFNs induce anti-tumor polarization of tumor associated neutrophils in mice and human. Int J Cancer. (2016) 138:1982–93. doi: 10.1002/ijc.29945

PubMed Abstract | Crossref Full Text | Google Scholar

28. Awasthi D and Sarode A. Neutrophils at the crossroads: unraveling the multifaceted role in the tumor microenvironment. Int J Mol Sci. (2024) 25:2929. doi: 10.3390/ijms25052929

PubMed Abstract | Crossref Full Text | Google Scholar

29. Fetit R, McLaren AS, White M, Mills ML, Falconer J, Cortes-Lavaud X, et al. Characterizing neutrophil subtypes in cancer using scRNA sequencing demonstrates the importance of IL1β/CXCR2 axis in generation of metastasis-specific neutrophils. Cancer Res Commun. (2024) 4:588–606. doi: 10.1158/2767-9764.CRC-23-0319

PubMed Abstract | Crossref Full Text | Google Scholar

30. Zeng Y, Yu J, Chen Y, Zhuang J, Liang X, Li Y, et al. Single-cell transcriptome analysis identifies MIF as a novel tumor-associated neutrophil marker for pancreatic ductal adenocarcinoma. NPJ Precis Oncol. (2025) 9:293. doi: 10.1038/s41698-025-01085-3

PubMed Abstract | Crossref Full Text | Google Scholar

31. Wu Y, Ma J, Yang X, Nan F, Zhang T, Ji S, et al. Neutrophil profiling illuminates anti-tumor antigen-presenting potency. Cell. (2024) 187:1422–39. doi: 10.1016/j.cell.2024.02.005

PubMed Abstract | Crossref Full Text | Google Scholar

32. Benguigui M, Cooper TJ, Kalkar P, Schif-Zuck S, Halaban R, Bacchiocchi A, et al. Interferon-stimulated neutrophils as a predictor of immunotherapy response. Cancer Cell. (2024) 42:253–65. doi: 10.1016/j.ccell.2023.12.005

PubMed Abstract | Crossref Full Text | Google Scholar

33. Yang Y, Liu Z, Wang Z, Fu X, Li Z, Li J, et al. Large-scale bulk and single-cell RNA sequencing combined with machine learning reveals glioblastoma-associated neutrophil heterogeneity and establishes a VEGFA(+) neutrophil prognostic model. Biol Direct. (2025) 20:45. doi: 10.1186/s13062-025-00640-z

PubMed Abstract | Crossref Full Text | Google Scholar

34. Kaltenmeier C, Yazdani HO, Morder K, Geller DA, Simmons RL, and Tohme S. Neutrophil extracellular traps promote T cell exhaustion in the tumor microenvironment. Front Immunol. (2021) 12:785222. doi: 10.3389/fimmu.2021.785222

PubMed Abstract | Crossref Full Text | Google Scholar

35. Erpenbeck L and Schön MP. Neutrophil extracellular traps: protagonists of cancer progression? Oncogene. (2017) 36:2483–90. doi: 10.1038/onc.2016.406

PubMed Abstract | Crossref Full Text | Google Scholar

36. Park J, Wysocki RW, Amoozgar Z, Maiorino L, Fein MR, Jorns J, et al. Cancer cells induce metastasis-supporting neutrophil extracellular DNA traps. Sci Transl Med. (2016) 8:361ra138. doi: 10.1126/scitranslmed.aag1711

PubMed Abstract | Crossref Full Text | Google Scholar

37. Schedel F, Mayer-Hain S, Pappelbaum KI, Metze D, Stock M, Goerge T, et al. Evidence and impact of neutrophil extracellular traps in Malignant melanoma. Pigment Cell Melanoma Res. (2020) 33:63–73. doi: 10.1111/pcmr.12818

PubMed Abstract | Crossref Full Text | Google Scholar

38. Su Y, Leng M, Yang Q, Jiang W, Xiang G, Long L, et al. Targeting circulating tumor cell–neutrophil interactions: nanoengineered strategies for inhibiting cancer metastasis. J Nanobiotechnology. (2025) 23:449. doi: 10.1186/s12951-025-03522-8

PubMed Abstract | Crossref Full Text | Google Scholar

39. Zhu W, Fan C, Dong S, Li X, Chen H, and Zhou W. Neutrophil extracellular traps regulating tumorimmunity in hepatocellular carcinoma. Front Immunol. (2023) 14:1253964. doi: 10.3389/fimmu.2023.1253964

PubMed Abstract | Crossref Full Text | Google Scholar

40. Furze RC and Rankin SM. Neutrophil mobilization and clearance in the bone marrow. Immunology. (2008) 125:281–88. doi: 10.1111/j.1365-2567.2008.02950.x

PubMed Abstract | Crossref Full Text | Google Scholar

41. Coffelt SB, Wellenstein MD, and de Visser KE. Neutrophils in cancer: neutral no more. Nat Rev Cancer. (2016) 16:431–46. doi: 10.1038/nrc.2016.52

PubMed Abstract | Crossref Full Text | Google Scholar

42. Chow MT and Luster AD. Chemokines in cancer. Cancer Immunol Res. (2014) 2:1125–31. doi: 10.1158/2326-6066.CIR-14-0160

PubMed Abstract | Crossref Full Text | Google Scholar

43. Martin C, Burdon PCE, Bridger G, Gutierrez-Ramos JC, Williams TJ, and Rankin SM. Chemokines acting via CXCR2 and CXCR4 control the release of neutrophils from the bone marrow and their return following senescence. Immunity. (2003) 19:583–93. doi: 10.1016/S1074-7613(03)00263-2

PubMed Abstract | Crossref Full Text | Google Scholar

44. Eash KJ, Greenbaum AM, Gopalan PK, and Link DC. CXCR2 and CXCR4 antagonistically regulate neutrophil trafficking from murine bone marrow. J Clin Invest. (2010) 120:2423–31. doi: 10.1172/JCI41649

PubMed Abstract | Crossref Full Text | Google Scholar

45. Hedrick CC and Malanchi I. Neutrophils in cancer: heterogeneous and multifaceted. Nat Rev Immunol. (2022) 22:173–87. doi: 10.1038/s41577-021-00571-6

PubMed Abstract | Crossref Full Text | Google Scholar

46. Kim HK, de la Luz Sierra M, Williams CK, Gulino AV, and Tosato G. G-CSF down-regulation of CXCR4 expression identified as a mechanism for mobilization of myeloid cells. Blood. (2006) 108:812–20. doi: 10.1182/blood-2005-10-4162

PubMed Abstract | Crossref Full Text | Google Scholar

47. Wu M, Miao H, Fu R, Zhang J, and Zheng W. Hepatic stellate cell: A potential target for hepatocellular carcinoma. Curr Mol Pharmacol. (2020) 13:261–72. doi: 10.2174/1874467213666200224102820

PubMed Abstract | Crossref Full Text | Google Scholar

48. Yin C, Evason KJ, Asahina K, and Stainier DYR. Hepatic stellate cells in liver development, regeneration, and cancer. J Clin Invest. (2013) 123:1902–10. doi: 10.1172/JCI66369

PubMed Abstract | Crossref Full Text | Google Scholar

49. Babuta M, Morel C, de Carvalho Ribeiro M, Calenda C, Ortega-Ribera M, Thevkar Nagesh P, et al. Neutrophil extracellular traps activate hepatic stellate cells and monocytes via NLRP3 sensing in alcohol-induced acceleration of MASH fibrosis. Gut. (2024) 73:1854–69. doi: 10.1136/gutjnl-2023-331447

PubMed Abstract | Crossref Full Text | Google Scholar

50. Chang N, Liu Y, Li W, Ma Y, Zhou X, Zhao X, et al. Neutrophil-secreted S100A8/A9 participates in fatty liver injury and fibrosis by promoting myofibroblast migration. J Mol Med (Berlin Germany). (2024) 102:1117–33. doi: 10.1007/s00109-024-02469-x

PubMed Abstract | Crossref Full Text | Google Scholar

51. Gong D, Shi W, Yi S, Chen H, Groffen J, and Heisterkamp N. TGFβ signaling plays a critical role in promoting alternative macrophage activation. BMC Immunol. (2012) 13:31. doi: 10.1186/1471-2172-13-31

PubMed Abstract | Crossref Full Text | Google Scholar

52. Wu L and Zhang XH. Tumor-associated neutrophils and macrophages-heterogenous but not chaotic. Front Immunol. (2020) 11:553967. doi: 10.3389/fimmu.2020.553967

PubMed Abstract | Crossref Full Text | Google Scholar

53. Kim AD, Kim SE, Leszczynska A, Kaufmann B, Reca A, Kim DJ, et al. Dual role of neutrophils in modulating liver injury and fibrosis during development and resolution of diet-induced murine steatohepatitis. Sci Rep. (2021) 11:24194. doi: 10.1038/s41598-021-03679-w

PubMed Abstract | Crossref Full Text | Google Scholar

54. Akkız H. Emerging role of cancer-associated fibroblasts in progression and treatment of hepatocellular carcinoma. Int J Mol Sci. (2023) 24:3941. doi: 10.3390/ijms24043941

PubMed Abstract | Crossref Full Text | Google Scholar

55. Kalluri R. The biology and function of fibroblasts in cancer. Nat Rev Cancer. (2016) 16:582–98. doi: 10.1038/nrc.2016.73

PubMed Abstract | Crossref Full Text | Google Scholar

56. 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

PubMed Abstract | Crossref Full Text | Google Scholar

57. Takesue S, Ohuchida K, Shinkawa T, Otsubo Y, Matsumoto S, Sagara A, et al. Neutrophil extracellular traps promote liver micrometastasis in pancreatic ductal adenocarcinoma via the activation of cancer−associated fibroblasts. Int J Oncol. (2020) 56:596–605. doi: 10.3892/ijo.2019.4951

PubMed Abstract | Crossref Full Text | Google Scholar

58. Cheng Y, Li H, Deng Y, Tai Y, Zeng K, Zhang Y, et al. Cancer-associated fibroblasts induce PDL1+ neutrophils through the IL6-STAT3 pathway that foster immune suppression in hepatocellular carcinoma. Cell Death Dis. (2018) 9:422. doi: 10.1038/s41419-018-0458-4

PubMed Abstract | Crossref Full Text | Google Scholar

59. Zhu W, Fan C, Zhao Y, Li W, Niu J, Dong S, et al. The role of NK cells in regulating tumorimmunity: current state, challenges and future strategies. Cancer Cell Int. (2025) 25:360. doi: 10.1186/s12935-025-03980-y

PubMed Abstract | Crossref Full Text | Google Scholar

60. Guo C, Yang H, Yang X, Cheng W, Dong T, Zhu W, et al. Associations between infiltrating lymphocyte subsets and hepatocellular carcinoma. Asian Pacific J Cancer Prevention: Apjcp. (2012) 13:5909–13. doi: 10.7314/APJCP.2012.13.11.5909

PubMed Abstract | Crossref Full Text | Google Scholar

61. Sun R, Xiong Y, Liu H, Gao C, Su L, Weng J, et al. Tumor-associated neutrophils suppress antitumor immunity of NK cells through the PD-L1/PD-1 axis. Transl Oncol. (2020) 13:100825. doi: 10.1016/j.tranon.2020.100825

PubMed Abstract | Crossref Full Text | Google Scholar

62. Spiegel A, Brooks MW, Houshyar S, Reinhardt F, Ardolino M, Fessler E, et al. Neutrophils suppress intraluminal NK cell-mediated tumor cell clearance and enhance extravasation of disseminated carcinoma cells. Cancer Discov. (2016) 6:630–49. doi: 10.1158/2159-8290.CD-15-1157

PubMed Abstract | Crossref Full Text | Google Scholar

63. Zhou Z, Xu M, Cai Y, Wang W, Jiang JX, Varga ZV, et al. Neutrophil-hepatic stellate cell interactions promote fibrosis in experimental steatohepatitis. Cell Mol Gastroenterol Hepatol. (2018) 5:399–413. doi: 10.1016/j.jcmgh.2018.01.003

PubMed Abstract | Crossref Full Text | Google Scholar

64. Xia Y, Wang Y, Xiong Q, He J, Wang H, Islam M, et al. Neutrophil extracellular traps promote MASH fibrosis by metabolic reprogramming of HSC. Hepatol (Baltimore Md.). (2025) 81:947–61. doi: 10.1097/HEP.0000000000000762

PubMed Abstract | Crossref Full Text | Google Scholar

65. Zhu W, Fan C, Zhao Y, Liu Y, Cheng Y, and Zhou W. Breaking bottlenecks: the future of hepatocellular carcinoma clinical trials and therapeutic targets. Hepatol Int. (2025) 19:888–902. doi: 10.1007/s12072-025-10799-2

PubMed Abstract | Crossref Full Text | Google Scholar

66. Khan MN, Mao B, Hu J, Shi M, Wang S, Rehman AU, et al. Tumor-associated macrophages and CD8+ T cells: dual players in the pathogenesis of HBV-related HCC. Front Immunol. (2024) 15:1472430. doi: 10.3389/fimmu.2024.1472430

PubMed Abstract | Crossref Full Text | Google Scholar

67. Chang Z, Zhang Q, Hu Q, Liu Y, Zhang L, and Liu R. Tannins in Terminalia bellirica inhibits hepatocellular carcinoma growth via re-educating tumor-associated macrophages and restoring CD8(+)T cell function. Biomedicine Pharmacotherapy = Biomedecine Pharmacotherapie. (2022) 154:113543. doi: 10.1016/j.biopha.2022.113543

PubMed Abstract | Crossref Full Text | Google Scholar

68. Masferrer JL, Leahy KM, Koki AT, Zweifel BS, Settle SL, Woerner BM, et al. Antiangiogenic and antitumor activities of cyclooxygenase-2 inhibitors. Cancer Res. (2000) 60:1306–11.

Google Scholar

69. Li N, Meng X, Bao Y, Wang S, and Li T. Evidence for the involvement of COX-2/VEGF and PTEN/pl3K/AKT pathway the mechanism of oroxin B treated liver cancer. Pharmacogn Mag. (2018) 14:207–13. doi: 10.4103/pm.pm_119_17

PubMed Abstract | Crossref Full Text | Google Scholar

70. Li T, Zhong J, Dong X, Xiu P, Wang F, Wei H, et al. Meloxicam suppresses hepatocellular carcinoma cell proliferation and migration by targeting COX-2/PGE2-regulated activation of the β-catenin signaling pathway. Oncol Rep. (2016) 35:3614–22. doi: 10.3892/or.2016.4764

PubMed Abstract | Crossref Full Text | Google Scholar

71. Zhao Q, Yue S, Cui Z, Wang Q, Cui X, Zhai H, et al. Potential involvement of the cyclooxygenase-2 pathway in hepatocellular carcinoma-associated angiogenesis. Life Sci. (2007) 80:484–92. doi: 10.1016/j.lfs.2006.09.038

PubMed Abstract | Crossref Full Text | Google Scholar

72. Zhang A, Zou X, Yang S, Yang H, Ma Z, and Li J. Effect of NETs/COX-2 pathway on immune microenvironment and metastasis in gastric cancer. Front Immunol. (2023) 14:1177604. doi: 10.3389/fimmu.2023.1177604

PubMed Abstract | Crossref Full Text | Google Scholar

73. Chen Q, Zhang L, Li X, and Zhuo W. Neutrophil extracellular traps in tumor metastasis: pathological functions and clinical applications. Cancers (Basel). (2021) 13:2832. doi: 10.3390/cancers13112832

PubMed Abstract | Crossref Full Text | Google Scholar

74. Chakrabarti S, Zee JM, and Patel KD. Regulation of matrix metalloproteinase-9 (MMP-9) in TNF-stimulated neutrophils: novel pathways for tertiary granule release. J Leukoc Biol. (2006) 79:214–22. doi: 10.1189/jlb.0605353

PubMed Abstract | Crossref Full Text | Google Scholar

75. Zhou Z, Wang P, Sun R, Li J, Hu Z, Xin H, et al. Tumor-associated neutrophils and macrophages interaction contributes to intrahepatic cholangiocarcinoma progression by activating STAT3. J Immunother Cancer. (2021) 9:e001946. doi: 10.1136/jitc-2020-001946

PubMed Abstract | Crossref Full Text | Google Scholar

76. Zhang F, Xia Y, Su J, Quan F, Zhou H, Li Q, et al. Neutrophil diversity and function in health and disease. Signal Transduct Target Ther. (2024) 9:343. doi: 10.1038/s41392-024-02049-y

PubMed Abstract | Crossref Full Text | Google Scholar

77. Zhu Y, Huang Y, Ji Q, Fu S, Gu J, Tai N, et al. Interplay between extracellular matrix and neutrophils in diseases. J Immunol Res. (2021) 2021:8243378. doi: 10.1155/2021/8243378

PubMed Abstract | Crossref Full Text | Google Scholar

78. Zhan X, Wu R, Kong X, You Y, He K, Sun X, et al. Elevated neutrophil extracellular traps by HBV-mediated S100A9-TLR4/RAGE-ROS cascade facilitate the growth and metastasis of hepatocellular carcinoma. Cancer Commun (London England). (2023) 43:225–45. doi: 10.1002/cac2.12388

PubMed Abstract | Crossref Full Text | Google Scholar

79. Kaltenmeier CT, Yazdani H, van der Windt D, Molinari M, Geller D, Tsung A, et al. Neutrophil extracellular traps as a novel biomarker to predict recurrence-free and overall survival in patients with primary hepatic Malignancies. Hpb: Off J Int Hepato Pancreato Biliary Assoc. (2021) 23:309–20. doi: 10.1016/j.hpb.2020.06.012

PubMed Abstract | Crossref Full Text | Google Scholar

80. Yang L, Luo Q, Lu L, Zhu W, Sun H, Wei R, et al. Increased neutrophil extracellular traps promote metastasis potential of hepatocellular carcinoma via provoking tumorous inflammatory response. J Hematol Oncol. (2020) 13:3. doi: 10.1186/s13045-019-0836-0

PubMed Abstract | Crossref Full Text | Google Scholar

81. Albrengues J, Shields MA, Ng D, Park CG, Ambrico A, Poindexter ME, et al. Neutrophil extracellular traps produced during inflammation awaken dormant cancer cells in mice. Sci (New York N.Y.). (2018) 361:eaao4227. doi: 10.1126/science.aao4227

PubMed Abstract | Crossref Full Text | Google Scholar

82. Zuo H, Yang M, Ji Q, Fu S, Pu X, Zhang X, et al. Targeting neutrophil extracellular traps: A novel antitumor strategy. J Immunol Res. (2023) 2023:5599660. doi: 10.1155/2023/5599660

PubMed Abstract | Crossref Full Text | Google Scholar

83. Yang L, Liu Q, Zhang X, Liu X, Zhou B, Chen J, et al. DNA of neutrophil extracellular traps promotes cancer metastasis via CCDC25. Nature. (2020) 583:133–38. doi: 10.1038/s41586-020-2394-6

PubMed Abstract | Crossref Full Text | Google Scholar

84. Wang Y, Yao R, Zhang D, Chen R, Ren Z, and Zhang L. Circulating neutrophils predict poor survival for HCC and promote HCC progression through p53 and STAT3 signaling pathway. J Cancer. (2020) 11:3736–44. doi: 10.7150/jca.42953

PubMed Abstract | Crossref Full Text | Google Scholar

85. Michaeli J, Shaul ME, Mishalian I, Hovav A, Levy L, Zolotriov L, et al. Tumor-associated neutrophils induce apoptosis of non-activated CD8 T-cells in a TNFα and NO-dependent mechanism, promoting a tumor-supportive environment. Oncoimmunology. (2017) 6:e1356965. doi: 10.1080/2162402X.2017.1356965

PubMed Abstract | Crossref Full Text | Google Scholar

86. Feng T, Xie F, Lyu Y, Yu P, Chen B, Yu J, et al. The arginine metabolism and its deprivation in cancer therapy. Cancer Lett. (2025) 620:217680. doi: 10.1016/j.canlet.2025.217680

PubMed Abstract | Crossref Full Text | Google Scholar

87. Tang D, Zhang D, Heng Y, Zhu X, Lin H, Zhou J, et al. Tumor-infiltrating PD-L1+ Neutrophils induced by GM-CSF suppress T cell function in laryngeal squamous cell carcinoma and predict unfavorable prognosis. J Inflammation Res. (2022) 15:1079–97. doi: 10.2147/JIR.S347777

PubMed Abstract | Crossref Full Text | Google Scholar

88. Kim R, Hashimoto A, Markosyan N, Tyurin VA, Tyurina YY, Kar G, et al. Ferroptosis of tumour neutrophils causes immune suppression in cancer. Nature. (2022) 612:338–46. doi: 10.1038/s41586-022-05443-0

PubMed Abstract | Crossref Full Text | Google Scholar

89. Borst J, Ahrends T, Bąbała N, Melief CJM, and Kastenmüller W. CD4(+) T cell help in cancer immunology and immunotherapy. Nat Rev Immunol. (2018) 18:635–47. doi: 10.1038/s41577-018-0044-0

PubMed Abstract | Crossref Full Text | Google Scholar

90. Ma C, Kesarwala AH, Eggert T, Medina-Echeverz J, Kleiner DE, Jin P, et al. NAFLD causes selective CD4(+) T lymphocyte loss and promotes hepatocarcinogenesis. Nature. (2016) 531:253–57. doi: 10.1038/nature16969

PubMed Abstract | Crossref Full Text | Google Scholar

91. Velliou R, Mitroulis I, and Chatzigeorgiou A. Neutrophil extracellular traps contribute to the development of hepatocellular carcinoma in NASH by promoting Treg differentiation. Hepatobiliary Surg Nutr. (2022) 11:415–18. doi: 10.21037/hbsn-21-557

PubMed Abstract | Crossref Full Text | Google Scholar

92. Wang H, Zhang H, Wang Y, Brown ZJ, Xia Y, Huang Z, et al. Regulatory T-cell and neutrophil extracellular trap interaction contributes to carcinogenesis in non-alcoholic steatohepatitis. J Hepatol. (2021) 75:1271–83. doi: 10.1016/j.jhep.2021.07.032

PubMed Abstract | Crossref Full Text | Google Scholar

93. Triner D and Shah YM. Hypoxic regulation of neutrophils in cancer. Int J Mol Sci. (2019) 20:4189. doi: 10.3390/ijms20174189

PubMed Abstract | Crossref Full Text | Google Scholar

94. Zhou S, Zhou Z, Hu Z, Huang X, Wang Z, Chen E, et al. Tumor-associated neutrophils recruit macrophages and T-regulatory cells to promote progression of hepatocellular carcinoma and resistance to sorafenib. Gastroenterology. (2016) 150:1646–58. doi: 10.1053/j.gastro.2016.02.040

PubMed Abstract | Crossref Full Text | Google Scholar

95. Zhang W, Wang H, Sun M, Deng X, Wu X, Ma Y, et al. CXCL5/CXCR2 axis in tumor microenvironment as potential diagnostic biomarker and therapeutic target. Cancer Commun (London England). (2020) 40:69–80. doi: 10.1002/cac2.12010

PubMed Abstract | Crossref Full Text | Google Scholar

96. Tang J, Yan Z, Feng Q, Yu L, and Wang H. The roles of neutrophils in the pathogenesis of liver diseases. Front Immunol. (2021) 12:625472. doi: 10.3389/fimmu.2021.625472

PubMed Abstract | Crossref Full Text | Google Scholar

97. Peng H, Wu X, Liu S, He M, Xie C, Zhong R, et al. Multiplex immunofluorescence and single-cell transcriptomic profiling reveal the spatial cell interaction networks in the non-small cell lung cancer microenvironment. Clin Transl Med. (2023) 13:e1155. doi: 10.1002/ctm2.1155

PubMed Abstract | Crossref Full Text | Google Scholar

98. Ustyanovska Avtenyuk N, Visser N, Bremer E, and Wiersma VR. The neutrophil: the underdog that packs a punch in the fight against cancer. Int J Mol Sci. (2020) 21:7820. doi: 10.3390/ijms21217820

PubMed Abstract | Crossref Full Text | Google Scholar

99. Cui C, Chakraborty K, Tang XA, Zhou G, Schoenfelt KQ, Becker KM, et al. Neutrophil elastase selectively kills cancer cells and attenuates tumorigenesis. Cell. (2021) 184:3163–77. doi: 10.1016/j.cell.2021.04.016

PubMed Abstract | Crossref Full Text | Google Scholar

100. Finisguerra V, Di Conza G, Di Matteo M, Serneels J, Costa S, Thompson AAR, et al. MET is required for the recruitment of anti-tumoural neutrophils. Nature. (2015) 522:349–53. doi: 10.1038/nature14407

PubMed Abstract | Crossref Full Text | Google Scholar

101. Watanabe A, Harimoto N, Araki K, Kubo N, Igarashi T, Tsukagoshi M, et al. Absolute neutrophil count predicts postoperative prognosis in mass-forming intrahepatic cholangiocarcinoma. Anticancer Res. (2019) 39:941–47. doi: 10.21873/anticanres.13197

PubMed Abstract | Crossref Full Text | Google Scholar

102. Lin S, Hu S, Ran Y, and Wu F. Neutrophil-to-lymphocyte ratio predicts prognosis of patients with hepatocellular carcinoma: a systematic review and meta-analysis. Transl Cancer Res. (2021) 10:1667–78. doi: 10.21037/tcr-20-3237

PubMed Abstract | Crossref Full Text | Google Scholar

103. Zheng J, Cai J, Li H, Zeng K, He L, Fu H, et al. Neutrophil to lymphocyte ratio and platelet to lymphocyte ratio as prognostic predictors for hepatocellular carcinoma patients with various treatments: a meta-analysis and systematic review. Cell Physiol Biochemistry: Int J Exp Cell Physiology Biochemistry Pharmacol. (2017) 44:967–81. doi: 10.1159/000485396

PubMed Abstract | Crossref Full Text | Google Scholar

104. Xu Z, Ye C, Liu L, Wu G, Zhao Z, Wang Y, et al. The pretransplant neutrophil-lymphocyte ratio as a new prognostic predictor after liver transplantation for hepatocellular cancer: a systematic review and meta-analysis. biomark Med. (2018) 12:189–99. doi: 10.2217/bmm-2017-0307

PubMed Abstract | Crossref Full Text | Google Scholar

105. Li S, Wang G, Ren Y, Liu X, Wang Y, Li J, et al. Expression and function of VISTA on myeloid cells. Biochem Pharmacol. (2024) 222:116100. doi: 10.1016/j.bcp.2024.116100

PubMed Abstract | Crossref Full Text | Google Scholar

106. Feng Y, Liu G, Li H, and Cheng L. Target neutrophil heterogeneity and plasticity in cancer. J Hematol Oncol. (2025) 18:79. doi: 10.1186/s13045-025-01731-0

PubMed Abstract | Crossref Full Text | Google Scholar

107. Xu W, Dong J, Zheng Y, Zhou J, Yuan Y, Ta HM, et al. Immune-checkpoint protein VISTA regulates antitumor immunity by controlling myeloid cell-mediated inflammation and immunosuppression. Cancer Immunol Res. (2019) 7:1497–510. doi: 10.1158/2326-6066.CIR-18-0489

PubMed Abstract | Crossref Full Text | Google Scholar

108. Zhu C, Ma J, Zhu K, Yu L, Zheng B, Rao D, et al. Spatial immunophenotypes predict clinical outcome in intrahepatic cholangiocarcinoma. Jhep Reports: Innovation Hepatol. (2023) 5:100762. doi: 10.1016/j.jhepr.2023.100762

PubMed Abstract | Crossref Full Text | Google Scholar

109. Gordon SR, Maute RL, Dulken BW, Hutter G, George BM, McCracken MN, et al. PD-1 expression by tumour-associated macrophages inhibits phagocytosis and tumour immunity. Nature. (2017) 545:495–99. doi: 10.1038/nature22396

PubMed Abstract | Crossref Full Text | Google Scholar

110. Meng Y, Ye F, Nie P, Zhao Q, An L, Wang W, et al. Immunosuppressive CD10(+)ALPL(+) neutrophils promote resistance to anti-PD-1 therapy in HCC by mediating irreversible exhaustion of T cells. J Hepatol. (2023) 79:1435–49. doi: 10.1016/j.jhep.2023.08.024

PubMed Abstract | Crossref Full Text | Google Scholar

111. Deng H, Kan A, Lyu N, He M, Huang X, Qiao S, et al. Tumor-derived lactate inhibit the efficacy of lenvatinib through regulating PD-L1 expression on neutrophil in hepatocellular carcinoma. J Immunother Cancer. (2021) 9:e002305. doi: 10.1136/jitc-2020-002305

PubMed Abstract | Crossref Full Text | Google Scholar

112. Faget J, Peters S, Quantin X, Meylan E, and Bonnefoy N. Neutrophils in the era of immune checkpoint blockade. J Immunother Cancer. (2021) 9:e002242. doi: 10.1136/jitc-2020-002242

PubMed Abstract | Crossref Full Text | Google Scholar

113. Yuan D, Zhang F, Lv P, Zhu J, Zhang H, and Zhang Z. A reliable prognostic model for hepatocellular carcinoma using neutrophil extracellular traps and immune related genes. Sci Rep. (2025) 15:19390. doi: 10.1038/s41598-025-01335-1

PubMed Abstract | Crossref Full Text | Google Scholar

114. Kim SJ and Kim JM. Prediction models of hepatocellular carcinoma recurrence after liver transplantation: A comprehensive review. Clin Mol Hepatol. (2022) 28:739–53. doi: 10.3350/cmh.2022.0060

PubMed Abstract | Crossref Full Text | Google Scholar

115. Liu Y, Pu X, Qin X, Gong J, Huang Z, Luo Y, et al. Neutrophil extracellular traps regulate HMGB1 translocation and kupffer cell M1 polarization during acute liver transplantation rejection. Front Immunol. (2022) 13:823511. doi: 10.3389/fimmu.2022.823511

PubMed Abstract | Crossref Full Text | Google Scholar

116. Ramon-Gil E, Geh D, and Leslie J. Harnessing neutrophil plasticity for HCC immunotherapy. Essays Biochem. (2023) 67:941–55. doi: 10.1042/EBC20220245

PubMed Abstract | Crossref Full Text | Google Scholar

117. Leslie J, Mackey JBG, Jamieson T, Ramon-Gil E, Drake TM, Fercoq F, et al. CXCR2 inhibition enables NASH-HCC immunotherapy. Gut. (2022) 71:2093–106. doi: 10.1136/gutjnl-2021-326259

PubMed Abstract | Crossref Full Text | Google Scholar

118. Evans TRJ, Basu B, Hubner R, Ma YT, Meyer T, Palmer DH, et al. Data from: A phase I/II study of the CXCR2 inhibitor, AZD5069, in combination with durvalumab, in patients (pts) with advanced hepatocellular carcinoma (HCC). J Clin Oncol. (2023) 41:TPS631–1. doi: 10.1200/JCO.2023.41.4_suppl.TPS631

Crossref Full Text | Google Scholar

119. Data from: An Open-label Phase 1 Study to Evaluate the Safety and Tolerability of SX-682 in Combination With Nivolumab as a Maintenance Therapy in Patients With Metastatic Pancreatic Ductal Adenocarcinoma (2020). Available online at: https://clinicaltrials.gov/study/NCT04477343 (Accessed January 15, 2026).

Google Scholar

120. Armstrong AJ, Geva R, Chung HC, Lemech C, Miller WHJ, Hansen AR, et al. CXCR2 antagonist navarixin in combination with pembrolizumab in select advanced solid tumors: a phase 2 randomized trial. Invest New Drugs. (2024) 42:145–59. doi: 10.1007/s10637-023-01410-2

PubMed Abstract | Crossref Full Text | Google Scholar

121. Kwong TT, Xiong Z, Zhang Y, Wu H, Cao J, Pak-Chun Wong P, et al. Overcoming immunotherapy resistance in hepatocellular carcinoma by targeting myeloid IL-8/CXCR2 signaling. Mol Therapy: J Am Soc Gene Ther. (2025) 33:1659–73. doi: 10.1016/j.ymthe.2025.02.002

PubMed Abstract | Crossref Full Text | Google Scholar

122. Kelley RK, Gane E, Assenat E, Siebler J, Galle PR, Merle P, et al. A phase 2 study of galunisertib (TGF-β1 receptor type I inhibitor) and sorafenib in patients with advanced hepatocellular carcinoma. Clin Transl Gastroenterol. (2019) 10:e56. doi: 10.14309/ctg.0000000000000056

PubMed Abstract | Crossref Full Text | Google Scholar

123. Giannelli G, Santoro A, Kelley RK, Gane E, Paradis V, Cleverly A, et al. Biomarkers and overall survival in patients with advanced hepatocellular carcinoma treated with TGF-βRI inhibitor galunisertib. PloS One. (2020) 15:e222259. doi: 10.1371/journal.pone.0222259

PubMed Abstract | Crossref Full Text | Google Scholar

124. van der Windt DJ, Sud V, Zhang H, Varley PR, Goswami J, Yazdani HO, et al. Neutrophil extracellular traps promote inflammation and development of hepatocellular carcinoma in nonalcoholic steatohepatitis. Hepatol (Baltimore Md.). (2018) 68:1347–60. doi: 10.1002/hep.29914

PubMed Abstract | Crossref Full Text | Google Scholar

125. Cheng Y, Gong Y, Chen X, Zhang Q, Zhang X, He Y, et al. Injectable adhesive hemostatic gel with tumor acidity neutralizer and neutrophil extracellular traps lyase for enhancing adoptive NK cell therapy prevents post-resection recurrence of hepatocellular carcinoma. Biomaterials. (2022) 284:121506. doi: 10.1016/j.biomaterials.2022.121506

PubMed Abstract | Crossref Full Text | Google Scholar

126. Zhao Y, Zhang Y, Wang K, and Chen L. Lenvatinib for hepatocellular carcinoma: From preclinical mechanisms to anti-cancer therapy. Biochim Et Biophys Acta Rev On Cancer. (2020) 1874:188391. doi: 10.1016/j.bbcan.2020.188391

PubMed Abstract | Crossref Full Text | Google Scholar

127. Guan X, Lu Y, Zhu H, Yu S, Zhao W, Chi X, et al. The crosstalk between cancer cells and neutrophils enhances hepatocellular carcinoma metastasis via neutrophil extracellular traps-associated cathepsin G component: A potential therapeutic target. J Hepatocell Carcinoma. (2021) 8:451–65. doi: 10.2147/JHC.S303588

PubMed Abstract | Crossref Full Text | Google Scholar

128. Yi N, Zhang L, Huang X, Ma J, and Gao J. Lenvatinib-activated NDUFA4L2/IL33/PADI4 pathway induces neutrophil extracellular traps that inhibit cuproptosis in hepatocellular carcinoma. Cell Oncol (Dordrecht Netherlands). (2025) 48:487–504. doi: 10.1007/s13402-024-01013-w

PubMed Abstract | Crossref Full Text | Google Scholar

129. Takizawa D, Kakizaki S, Sohara N, Sato K, Takagi H, Arai H, et al. Hepatocellular carcinoma with portal vein tumor thrombosis: clinical characteristics, prognosis, and patient survival analysis. Dig Dis Sci. (2007) 52:3290–95. doi: 10.1007/s10620-007-9808-2

PubMed Abstract | Crossref Full Text | Google Scholar

130. Portolani N, Coniglio A, Ghidoni S, Giovanelli M, Benetti A, Tiberio GAM, et al. Early and late recurrence after liver resection for hepatocellular carcinoma: prognostic and therapeutic implications. Ann Surg. (2006) 243:229–35. doi: 10.1097/01.sla.0000197706.21803.a1

PubMed Abstract | Crossref Full Text | Google Scholar

131. Zhang Y, Chandra V, Riquelme Sanchez E, Dutta P, Quesada PR, Rakoski A, et al. Interleukin-17-induced neutrophil extracellular traps mediate resistance to checkpoint blockade in pancreatic cancer. J Exp Med. (2020) 217:e20190354. doi: 10.1084/jem.20190354

PubMed Abstract | Crossref Full Text | Google Scholar

132. Canè S, Barouni RM, Fabbi M, Cuozzo J, Fracasso G, Adamo A, et al. Neutralization of NET-associated human ARG1 enhances cancer immunotherapy. Sci Transl Med. (2023) 15:eabq6221. doi: 10.1126/scitranslmed.abq6221

PubMed Abstract | Crossref Full Text | Google Scholar

133. Shak S, Capon DJ, Hellmiss R, Marsters SA, and Baker CL. Recombinant human DNase I reduces the viscosity of cystic fibrosis sputum. Proc Natl Acad Sci U.S.A. (1990) 87:9188–92. doi: 10.1073/pnas.87.23.9188

PubMed Abstract | Crossref Full Text | Google Scholar

134. Lewis HD, Liddle J, Coote JE, Atkinson SJ, Barker MD, Bax BD, et al. Inhibition of PAD4 activity is sufficient to disrupt mouse and human NET formation. Nat Chem Biol. (2015) 11:189–91. doi: 10.1038/nchembio.1735

PubMed Abstract | Crossref Full Text | Google Scholar

135. Yao H, Li P, Venters BJ, Zheng S, Thompson PR, Pugh BF, et al. Histone Arg modifications and p53 regulate the expression of OKL38, a mediator of apoptosis. J Biol Chem. (2008) 283:20060–68. doi: 10.1074/jbc.M802940200

PubMed Abstract | Crossref Full Text | Google Scholar

136. Li M, Lin C, Deng H, Strnad J, Bernabei L, Vogl DT, et al. A novel peptidylarginine deiminase 4 (PAD4) inhibitor BMS-P5 blocks formation of neutrophil extracellular traps and delays progression of multiple myeloma. Mol Cancer Ther. (2020) 19:1530–38. doi: 10.1158/1535-7163.MCT-19-1020

PubMed Abstract | Crossref Full Text | Google Scholar

137. Encarnação CC, Faria GM, Franco VA, Botelho LGX, Moraes JA, and Renovato-Martins M. Interconnections within the tumor microenvironment: extracellular vesicles as critical players of metabolic reprogramming in tumor cells. J Cancer Metastasis Treat. (2024) 10:28. doi: 10.20517/2394-4722.2024.78

Crossref Full Text | Google Scholar

138. Lin J, He X, Zhang W, and Mo C. Metabolic reprogramming of tumor-associated neutrophils in tumor treatment and therapeutic resistance. Front Cell Dev Biol. (2025) 13:1584987. doi: 10.3389/fcell.2025.1584987

PubMed Abstract | Crossref Full Text | Google Scholar

139. Zenlander R, Havervall S, Magnusson M, Engstrand J, Ågren A, Thålin C, et al. Neutrophil extracellular traps in patients with liver cirrhosis and hepatocellular carcinoma. Sci Rep. (2021) 11:18025. doi: 10.1038/s41598-021-97233-3

PubMed Abstract | Crossref Full Text | Google Scholar

140. Hou P, Luo L, Chen H, Chen Q, Bian X, Wu S, et al. Ectosomal PKM2 promotes HCC by inducing macrophage differentiation and remodeling the tumor microenvironment. Mol Cell. (2020) 78:1192–206. doi: 10.1016/j.molcel.2020.05.004

PubMed Abstract | Crossref Full Text | Google Scholar

141. Dai J, Escara-Wilke J, Keller JM, Jung Y, Taichman RS, Pienta KJ, et al. Primary prostate cancer educates bone stroma through exosomal pyruvate kinase M2 to promote bone metastasis. J Exp Med. (2019) 216:2883–99. doi: 10.1084/jem.20190158

PubMed Abstract | Crossref Full Text | Google Scholar

142. Jin H, Liu Q, Li J, Zhao S, and Tuo B. Multifaceted roles of lactate dehydrogenase in liver cancer (Review). Int J Oncol. (2025) 66:50. doi: 10.3892/ijo.2025.5756

PubMed Abstract | Crossref Full Text | Google Scholar

143. Sangro B, Sarobe P, Hervás-Stubbs S, and Melero I. Advances in immunotherapy for hepatocellular carcinoma. Nat Rev Gastroenterol Hepatol. (2021) 18:525–43. doi: 10.1038/s41575-021-00438-0

PubMed Abstract | Crossref Full Text | Google Scholar

144. Esteban-Fabró R, Willoughby CE, Piqué-Gili M, Montironi C, Abril-Fornaguera J, Peix J, et al. Cabozantinib enhances anti-PD1 activity and elicits a neutrophil-based immune response in hepatocellular carcinoma. Clin Cancer Research: Off J Am Assoc Cancer Res. (2022) 28:2449–60. doi: 10.1158/1078-0432.CCR-21-2517

PubMed Abstract | Crossref Full Text | Google Scholar

145. Kang T, Zhu Q, Wei D, Feng J, Yao J, Jiang T, et al. Nanoparticles coated with neutrophil membranes can effectively treat cancer metastasis. ACS Nano. (2017) 11:1397–411. doi: 10.1021/acsnano.6b06477

PubMed Abstract | Crossref Full Text | Google Scholar

146. Chang Y, Cai X, Syahirah R, Yao Y, Xu Y, Jin G, et al. CAR-neutrophil mediated delivery of tumor-microenvironment responsive nanodrugs for glioblastoma chemo-immunotherapy. Nat Commun. (2023) 14:2266. doi: 10.1038/s41467-023-37872-4

PubMed Abstract | Crossref Full Text | Google Scholar

147. Joshi RM, Telang B, Soni G, and Khalife A. Overview of perspectives on cancer, newer therapies, and future directions. Oncol Trans Med. (2024) 10:105–109. doi: 10.1097/ot9.00000000000000039

Crossref Full Text | Google Scholar

Keywords: hepatocellular carcinoma (HCC), neutrophil, neutrophil extracellular traps (NETs), tumor microenvironment(TME), tumor-associated neutrophils (TANs)

Citation: Lian Y, Wang L, Wang J, Zhu D and Lyu W (2026) Neutrophils in the hepatocellular carcinoma microenvironment: orchestrators of progression and immunity. Front. Immunol. 17:1735189. doi: 10.3389/fimmu.2026.1735189

Received: 29 October 2025; Accepted: 14 January 2026; Revised: 07 January 2026;
Published: 03 February 2026.

Edited by:

Ran Wei, Sun Yat-sen University Cancer Center (SYSUCC), China

Reviewed by:

Aditya Sarode, Columbia University, United States
Weidong Pan, Third Affiliated Hospital of Sun Yat-sen University, China
Weixiong Zhu, Lanzhou University, China
Alekseeva Ludmila, Institute of Chemical Biology and Fundamental Medicine, Russia

Copyright © 2026 Lian, Wang, Wang, Zhu and Lyu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Dan Zhu, emh1ZGFuNTI2QDE2My5jb20=; Wenliang Lyu, bHZ3ZW5saWFuZ0Bzb2h1LmNvbQ==

These authors have contributed equally to this work

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.