Skip to main content
International Journal of Biological Sciences logoLink to International Journal of Biological Sciences
. 2026 Jul 22;22(13):6985–7002. doi: 10.7150/ijbs.131261

CAR T Cell Therapy in Lung Cancer: Overcoming Tumor Microenvironment-Mediated Barriers

Lu Liu 1,#, Dandan Liang 2,3,#, Cui Wang 1, Jian Li 4, Jie Tang 2, Weimin Li 2,3,✉, Xijie Yu 1,✉
PMCID: PMC13540461  PMID: 42694665

Abstract

Chimeric antigen receptor (CAR) T cell therapy has achieved remarkable clinical success in hematological malignancies. However, its efficacy in solid tumors such as lung cancer remains constrained by the immunosuppressive tumor microenvironment (TME). Aberrant vascular architecture and dense stroma constitute major physical barriers that hinder CAR T cell infiltration. Additionally, an immunosuppressive cellular network, dominated by myeloid-derived suppressor cells and tumor-associated macrophages, further restricts CAR T cell expansion and function. Moreover, immune checkpoint signaling, inhibitory cytokines, dysregulated chemokine gradients, and metabolic reprogramming under hypoxia collectively create a hostile biochemical and metabolic milieu that drives CAR T cell dysfunction and exhaustion. This review systematically outlines these multifactorial barriers within the lung cancer TME and discusses emerging strategies, including combinatorial approaches, engineered CAR T designs, and microenvironment-modulating platforms, that aim to improve the therapeutic efficacy of CAR T cell therapy in lung cancer.

Keywords: lung cancer, CAR T cell therapy, tumor microenvironment, immunotherapy, solid tumors

1. Introduction

Lung cancer remains one of the leading causes of cancer mortality worldwide. In 2022, it accounted for approximately 2.48 million new cases and 1.82 million deaths globally 1. Targeted therapies and immune checkpoint blockade have reshaped the treatment landscape, and programmed cell death protein 1 (PD-1) or programmed death-ligand 1 (PD-L1) inhibitors are now incorporated into first-line regimens for advanced non-small cell lung cancer (NSCLC). However, durable benefit remains limited to a subset of patients. In extensive-stage small cell lung cancer (SCLC), etoposide-platinum chemotherapy yields a median overall survival of about 10 months, and the addition of atezolizumab extends survival to 12.3 months 2. Against this backdrop, chimeric antigen receptor (CAR) T cell therapy, which involves engineering autologous T cells to recognize specific tumor antigens, has achieved transformative success in hematological malignancies. To date, the U.S. Food and Drug Administration (FDA) has approved multiple CAR T cell products, which in relapsed or refractory blood cancers can induce overall response rates typically in the range of 70-90%, with a subset of patients achieving remissions lasting for years 3,4. This success underscores the transformative potential of cellular immunotherapy.

However, in solid tumors, including lung cancer, the clinical activity of CAR T cell therapy remains markedly lower than that achieved in hematologic malignancies 5-8. This efficacy gap indicates that the limitations of CAR T therapy in solid tumors extend beyond antigen recognition itself. In lung cancer, multiple barriers coexist and reinforce one another, including heterogeneous and dynamic target antigen expression, a narrow therapeutic window caused by on-target/off-tumor toxicity, insufficient tumor homing and infiltration, limited in vivo expansion and persistence, and a highly immunosuppressive tumor microenvironment (TME). Thus, target expression does not directly translate into durable efficacy. Even when CAR T cells can recognize tumor cells, their ability to enter tumor tissue, maintain effector function, and resist local suppressive signals remains decisive for therapeutic outcome.

The solid tumor TME is a complex and dynamic ecosystem composed of malignant cells, immune cells, stromal cells, vascular cells, extracellular matrix (ECM), soluble mediators, and metabolic signals. Aberrant vascular architecture and dense fibrotic ECM form prominent physical barriers that impede immune cell trafficking and restrict CAR T cell entry into the tumor parenchyma. Meanwhile, the TME also establishes a suppressive biochemical and metabolic environment, including hypoxia, extracellular acidification, nutrient competition, and increased reactive oxygen species. Immunosuppressive mediators such as TGF-β, PGE2, adenosine, and IL-10 are also frequently elevated, accompanied by the accumulation of regulatory T cells, myeloid-derived suppressor cells, and tumor-associated macrophages 9,10.

These barriers do not act independently, but converge to impair CAR T cell activation, metabolic fitness, and persistence in vivo. Under persistent antigen stimulation and stress derived from the TME, CAR T cells may gradually acquire an exhausted phenotype, characterized by reduced proliferation and cytotoxicity, decreased cytokine production, and sustained expression of inhibitory receptors such as PD-1, LAG-3, TIM-3, and TIGIT 11. This pressure is particularly relevant in lung cancer, where extensive stromal remodeling, hypoxia, immune exclusion, and treatment-induced changes in the microenvironment can simultaneously limit CAR T cell access and suppress effector function 9,10. Thus, lung cancer represents a solid tumor context in which antigenic, structural, cellular, and metabolic barriers are highly intertwined.

Before discussing these TME-mediated barriers in detail, this review first outlines the current landscape of CAR T cell therapy in lung cancer, including target selection, early clinical evidence, antigen heterogeneity, safety constraints, emerging CAR T design strategies, and key translational challenges. We then examine the physical, cellular, biochemical, and metabolic barriers imposed by the lung cancer TME and summarize corresponding combination strategies, engineered CAR T designs, and approaches that modulate the microenvironment.

2. Current landscape of CAR T cell therapy in lung cancer

CAR T cell therapy in lung cancer remains at an early stage of clinical translation. Although preclinical pipelines continue to expand and the number of clinical trials is increasing, current studies are still largely small scale, early phase, and exploratory. Ongoing research covers both NSCLC and SCLC and targets a range of tumor-associated antigens (TAAs) (Table 1). However, the growing number of candidate targets has not yet translated into durable and reproducible clinical benefit. This gap suggests that the translational challenges of lung cancer CAR T therapy cannot be explained by insufficient antigen recognition alone, but should be understood across multiple dimensions, including target stability, therapeutic window, adaptation to the TME, and product persistence.

Table 1.

Representative CAR T targets, translational evidence, and key challenges in lung cancer

Target Lung cancer type Biological characteristics Representative preclinical / clinical evidence Clinical trial examples Key translational concerns References
EGFR EGFR-positive advanced/refractory NSCLC Frequently altered or overexpressed in NSCLC and involved in tumor proliferation, invasion, and survival. EGFR CAR T cells showed EGFR-specific cytotoxicity and early clinical feasibility. PiggyBac-engineered EGFR CAR T was reported to be feasible and safe, while CXCR5-modified EGFR CAR T was designed to improve trafficking through the CXCR5-CXCL13 axis. NCT01869166 NCT03182816 NCT04153799 NCT05060796
NCT06682793
NCT05341492
Normal epithelial expression may increase on-target/off-tumor risk; efficacy remains modest; tumor infiltration and TME suppression remain limiting factors. 12-16
MSLN NSCLC, lung adenocarcinoma, and malignant pleural disease Overexpressed in NSCLC and involved in tumor proliferation, invasion, and metastasis, with restricted expression in most normal tissues. MSLN CAR T cells have shown early clinical feasibility. Low-dose MSLN CAR T was reported to be safe and feasible, whereas high-dose infusion caused severe pulmonary toxicity. Safety-enhanced designs, including iCasp9-MSLN CAR T and checkpoint nanobody-secreting MSLN CAR T, have been explored. NCT03054298 NCT02414269 NCT04489862 NCT06248697
NCT01583686
NCT06051695
NCT06885697
Potential pulmonary toxicity; low-level expression in benign lung tissues; need for dose optimization, safety switches, and regional delivery strategies. 17-19
MUC1 / TnMUC1 Advanced NSCLC and epithelial solid tumors Overexpressed and aberrantly glycosylated in NSCLC and involved in tumor invasion, stemness, and therapy resistance. MUC1 CAR T cells showed antitumor activity in preclinical solid-tumor models. In NSCLC, MUC1/PSCA dual targeting and MUC1 CAR T with PD-1 disruption have been explored to enhance efficacy; stable disease was reported in a subset of advanced NSCLC patients receiving MUC1 CAR T with PD-1 disruption. NCT02587689 NCT03356808 NCT04025216 NCT03525782 Limited objective responses; antigen heterogeneity; unclear durability; may require multi-target, checkpoint-resistant, or TME-primed strategies. 20-23
PSCA NSCLC and multi-antigen lung cancer CAR T strategies Overexpressed in NSCLC and involved in lung cancer cell growth, supporting its potential as a surface target. PSCA CAR T showed preclinical antitumor activity in lung cancer models. MUC1/PSCA dual targeting enhanced antitumor efficacy compared with single-antigen targeting in NSCLC models. NCT03198052 Limited lung cancer-specific clinical evidence; antigen distribution and safety require further validation; likely best positioned in multi-target strategies. 20,23,24
CEA CEA-positive lung cancer and other solid tumors Overexpressed in lung cancer and involved in tumor cell adhesion, with clinical relevance as a tumor marker. CEA CAR T has been evaluated in CEA-positive solid tumors, including lung cancer. Early studies suggest feasibility, but lung cancer-specific efficacy remains insufficiently defined. NCT02349724
NCT04348643
NCT06903117
NCT06992583
NCT06768151
NCT07250386
NCT07179692
NCT06006390
NCT06010862
NCT06126406
NCT06043466
Not lung cancer-specific; heterogeneous expression; limited direct NSCLC outcome data; potential off-tumor toxicity should be considered. 25-27
PD-L1 NSCLC and immunosuppressive lung cancer TME PD-L1 is a classical checkpoint ligand that suppresses T-cell activation and function and is expressed on tumor, stromal, and immune cells. PD-L1 CAR T showed preclinical tumor-killing activity in NSCLC models. However, in NCT03330834, only one patient was enrolled and serious CRS occurred after CAR T infusion. NCT03330834 NCT03060343
NCT06348797
NCT04684459
Not tumor-specific; risk of on-target/off-tumor toxicity and CRS; requires affinity tuning, logic gating, switchable control, or local delivery. 28-30
ROR1 Advanced NSCLC and ROR1-expressing solid tumors Overexpressed in lung cancer and involved in tumor proliferation, migration, and poor prognosis. ROR1 CAR T showed activity in preclinical lung cancer models. Combination with oxaliplatin-based lymphodepletion and PD-L1 blockade improved ROR1 CAR T-mediated lung tumor control in preclinical studies. NCT02706392 Safety and efficacy in NSCLC remain unclear; TME pressure and PD-L1 upregulation may blunt ROR1 CAR T activity; rational combination with checkpoint blockade or TME priming may be needed. 31-33
HER2 HER2-altered or HER2-overexpressing NSCLC Mutated or overexpressed in a subset of lung cancers and involved in tumor invasion and metastasis. HER2 CAR T has mainly been studied preclinically in lung cancer. Chemotherapy-mediated recruitment and HMGB1-related modulation have been explored to enhance HER2 CAR T activity in NSCLC models. NCT01935843 NCT03198052 NCT02713984 Normal tissue expression raises safety concerns; lung cancer-specific clinical data remain limited; careful dose and target-density control are needed. 34-36
B7-H3 / CD276 NSCLC, SCLC, and metastatic lung cancer models Overexpressed in lung cancer and involved in immune suppression, poor prognosis, and disease progression, with limited expression in most normal tissues. B7-H3 CAR T showed preclinical cytotoxicity against lung cancer. CCR2b-enhanced B7-H3 CAR T improved trafficking in NSCLC brain metastasis models, and nanozyme-based TME remodeling enhanced B7-H3 CAR T activation and infiltration in NSCLC models. NCT03198052
NCT04864821
NCT05341492
Heterogeneous expression; TME-mediated suppression; trafficking barriers, especially in metastatic or brain-involved disease; clinical efficacy remains unproven. 37,38
DLL3 SCLC and large-cell neuroendocrine lung carcinoma Highly expressed in SCLC and neuroendocrine lung cancers with limited normal-tissue expression, supporting its potential as a lineage-associated surface target. DLL3 CAR T showed preclinical efficacy and safety in SCLC models. DLL3-targeted CAR T trials have recently been initiated in relapsed/refractory SCLC and large-cell neuroendocrine lung carcinoma. NCT05680922
NCT06384482
NCT06348797
NCT07246304
NCT07249879
NCT07395479
SCLC subtype plasticity and antigen heterogeneity may drive escape; clinical durability and safety remain unproven; may require combination or armored strategies. 39-41
GD2 SCLC, NSCLC, and GD2-expressing lung cancer models Expressed in a subset of SCLC and NSCLC and involved in tumor proliferation, migration, adhesion, and invasion. GD2 CAR T showed preclinical activity in orthotopic and metastatic lung cancer models. IL-15-armored GD2 CAR T with an iCasp9 safety switch showed improved expansion, persistence, and antitumor activity, while tazemetostat could upregulate GD2 expression in GD2-low/negative lung cancer cells. NCT05620342
NCT03356808
Heterogeneous expression; potential neurotoxicity and normal tissue expression; limited lung cancer-specific clinical data; may require antigen-upregulation or safety-switch strategies. 42
MAGE-A1 / MAGE-A4 Antigen-expressing lung cancer and multi-antigen CAR T strategies Cancer-testis antigens with restricted normal-tissue expression, but generally intracellular rather than surface antigens. MAGE-family antigens have been included in lung cancer multi-antigen CAR T exploration; however, their intracellular localization makes them more directly relevant to TCR-T strategies than conventional surface-targeted CAR T. NCT03356808 Intracellular localization limits conventional CAR targeting; requires careful validation of surface accessibility or alternative TCR-based approaches. 43
PTK7 SCLC and PTK7-expressing lung cancer models Expressed in SCLC and involved in cell polarization, migration, chemotaxis, and tumor progression. PTK7 CAR T showed preclinical antitumor activity against PTK7-high SCLC cells and prolonged survival in SCLC xenograft models. No lung cancer-specific clinical trial identified Target distribution, tumor specificity, safety, and clinical relevance remain insufficiently defined. 44

Abbreviations: CAR, chimeric antigen receptor; NSCLC, non-small cell lung cancer; SCLC, small cell lung cancer; TME, tumor microenvironment; EGFR, epidermal growth factor receptor; MSLN, mesothelin; MUC1, mucin 1; PSCA, prostate stem cell antigen; CEA, carcinoembryonic antigen; PD-L1, programmed death-ligand 1; ROR1, receptor tyrosine kinase-like orphan receptor 1; HER2, human epidermal growth factor receptor 2; DLL3, delta-like ligand 3; PTK7, protein tyrosine kinase 7; CRS, cytokine release syndrome.

2.1 Target selection, therapeutic window, and antigen escape

One of the central challenges in lung cancer CAR T development is the selection of target antigens with sufficient tumor selectivity and relatively stable expression. Many candidate antigens are expressed in lung cancer, but they can also be detected at varying levels in normal tissues or inflammatory settings, thereby narrowing the therapeutic window and increasing the risk of on-target/off-tumor toxicity. Therefore, target selection should not be based solely on tumor expression frequency. It should also consider normal tissue distribution, differences in antigen density, expression stability under therapeutic pressure, and compatibility with CAR designs that incorporate safety control.

PD-L1 is a representative example of a target with a narrow therapeutic window. It functions as an immunosuppressive checkpoint ligand in the lung cancer TME, but it has also been explored as a potential CAR T target or engineering module 45. However, PD-L1 is not specific to tumors, and its expression in normal tissues or inflammation-associated cells may increase the risk of on-target/off-tumor toxicity. Indeed, a phase I clinical trial evaluating CAR T cells targeting PD-L1 in lung cancer (NCT03330834) was terminated early because of serious adverse events. These observations suggest that PD-L1-directed CAR T cells require additional safety designs, such as affinity tuning, logic gating, switchable control, or local delivery.

Beyond the therapeutic window, antigen heterogeneity and antigen escape are major limitations of CAR designs with fixed single-antigen specificity. Lung cancer exhibits marked spatial and temporal heterogeneity, reflected by regional differences in antigen expression and dynamic changes in target abundance under therapeutic pressure. CAR T cells targeting a single antigen may preferentially eliminate tumor subclones with high antigen expression, whereas antigen-low or antigen-negative populations may gain a selective advantage and drive relapse. In SCLC, transcriptional programs defined by ASCL1, NEUROD1, POU2F3, and inflammatory features may further influence immune sensitivity and target antigen expression, thereby reducing the stability of fixed single-target designs 46,47.

Accordingly, expanding antigen coverage while improving safety control has become an important direction in lung cancer CAR T design. Bispecific CARs, tandem CARs, and dual CARs mainly reduce the risk of escape from a single antigen by broadening antigen recognition. Logic-gated CARs and affinity tuning place greater emphasis on tumor selectivity, aiming to reduce injury to normal tissues with low target antigen expression. Switchable systems and adapter-dependent or modular CAR platforms further separate antigen recognition from CAR signaling activation, allowing CAR T activity to be titrated, paused, or redirected by adjusting adapter selection, dose, administration schedule, or withdrawal 37,48-53. Representative strategies include dual targeting of MUC1 and PSCA in NSCLC models, dabrafenib-mediated upregulation of MUC1 to enhance targetability, and the ongoing EGFR/B7-H3 bispecific CAR T trial (NCT05341492) 20,23,54. However, design with multiple targets is not simply a matter of adding more targets; it may also increase structural complexity, nonspecific activation, and safety risks. Therefore, heterogeneity-tolerant CAR T designs should be developed together with safety control mechanisms, rather than pursuing broader antigen coverage alone.

2.2 Clinical evidence and translation

Current clinical evidence for CAR T therapy in lung cancer remains preliminary. Studies differ substantially in target selection, CAR structure, conditioning regimen, delivery route, enrolled population, and clinical endpoints, making direct comparisons across studies difficult. Therefore, available clinical data mainly reflect the initial feasibility and safety boundaries of CAR T therapy in lung cancer, but are still insufficient to establish stable and durable efficacy. Table 1 systematically summarizes representative targets, preclinical and clinical evidence, and key translational issues in lung cancer CAR T therapy, providing an overview from target discovery to clinical application.

From a translational perspective, the current gap is not a lack of candidate targets, but the failure to consistently convert these targets into durable therapeutic benefit. Most early studies have enrolled patients with advanced, heavily pretreated disease, who often have high tumor burden, rapid disease progression, and impaired T cell quality. These factors may compromise autologous CAR T manufacturing quality, in vivo expansion, and persistence 11. Meanwhile, spatial exclusion, immunosuppression, and metabolic stress within the lung cancer TME may further limit the ability of CAR T cells to maintain effector function after entering tumors. Therefore, the durability of efficacy, optimal patient selection, and best combination strategies for lung cancer CAR T therapy remain to be further defined.

Overall, translational optimization of lung cancer CAR T therapy should not be limited to “selecting better targets” or “building stronger CARs” as separate goals. Instead, target coverage, safety control, tumor accessibility, and functional adaptability of CAR T cells should be integrated into a unified design framework. The following sections further discuss the physical, cellular, biochemical, and metabolic barriers that affect CAR T cell trafficking, survival, and effector function in the lung cancer TME, and map corresponding engineering and combination strategies to these resistance mechanisms.

3. Physical barriers in the TME

In solid tumors, physical barriers represent an early and often decisive constraint on CAR T cell efficacy. Following systemic infusion, CAR T cells must first traverse abnormal tumor vasculature and then migrate through a dense extracellular matrix (ECM) to establish productive contact with malignant cells. Each of these steps is substantially hindered within the TME. These physical barriers and representative strategies to overcome them are summarized in Figure 1.

Figure 1.

Figure 1

Physical barriers and intervention strategies for CAR T cell access in lung cancer. Schematic illustration of physical barriers in the lung cancer tumor microenvironment and breakthrough strategies to enhance CAR T cell access, highlighting aberrant tumor vasculature and dense, CAF-shaped extracellular matrix that restrict extravasation and interstitial migration, and corresponding interventions including vessel normalization, matrix targeting, local ablation, and engineered CAR T cell designs that improve homing and tissue penetration (Created with BioRender.com).

3.1. Aberrant vasculature

Tumor blood vessels are structurally and functionally aberrant. They typically exhibit disorganized architecture, heterogeneous perfusion, regional hypoxia, and compromised endothelial integrity. Persistent pro-angiogenic signaling, especially via vascular endothelial growth factor (VEGF)-dependent pathways, can suppress endothelial adhesion molecules such as intercellular adhesion molecule 1 (ICAM1) and vascular cell adhesion molecule 1 (VCAM1). This reduces immune cell adhesion and transendothelial extravasation 55-57. In addition, tumor endothelial cells undergo functional reprogramming. Their inflammatory responsiveness is dampened, and their capacity to support leukocyte transendothelial migration declines. By releasing immunomodulatory mediators, including IL-6, prostaglandin E2 (PGE2), and IL-10, endothelial cells can further reinforce an immunosuppressive vascular niche 55,58-60.

3.2. Dense extracellular matrix (ECM)

Once CAR T cells extravasate from the vasculature, they encounter a second bottleneck: migration through a highly fibrotic and disorganized ECM, a hallmark of many solid tumors 61. Dense collagen networks impose direct spatial constraints on T cell motility, particularly when collagen pore size falls below the threshold required for effective interstitial trafficking 62. ECM remodeling also generates functional stress. Increased matrix stiffness and mechanical forces can directly promote T cell dysfunction. In parallel, mechanical compression of blood vessels worsens hypoxia and metabolic stress, further weakening CAR T cell activation and effector capacity 63. Moreover, ECM reorganization can disrupt chemokine gradients and bias tumor-associated macrophages toward immunosuppressive states, together reinforcing immune exclusion 64-67.

Vascular dysfunction and ECM remodeling therefore form an integrated physical barrier that limits CAR T cell delivery, intratumoral infiltration, and productive engagement with tumor cells. This framework has motivated strategies that target vascular and stromal components to improve the spatial accessibility of CAR T cells. At the vascular level, normalization approaches can restore perfusion, alleviate hypoxia, and enhance endothelial inflammatory competence, thereby facilitating extravasation of both endogenous T cells and CAR T cells 68,69. At the stromal level, reducing matrix density or stiffness, locally remodeling ECM architecture, or targeting ECM-producing cells such as cancer-associated fibroblasts can relieve migratory constraints and improve intratumoral CAR T cell distribution 70-72. Overall, overcoming these physical barriers is a prerequisite for achieving robust CAR T cell activity in solid tumors.

3.3. Overcoming physical barriers to enhance CAR T cell therapy in lung cancer

In lung cancer, the physical constraints on CAR T cells extend beyond stromal density. They also reflect the compartmentalized airway and alveolar architecture of the lung and its spatially organized immune microenvironments 73. Tumor-driven stromal remodeling further amplifies these spatial restrictions 74. Abundant and functionally heterogeneous cancer-associated fibroblasts (CAFs) in lung lesions can initiate matrix-regulatory and immunomodulatory programs that spatially segregate immune cells from tumor nests. Rather than acting as a uniform population, CAFs comprise multiple functional states with distinct effects on immune localization and regulation. Myofibroblastic CAFs (myCAFs), which are commonly associated with contractile phenotypes and ECM remodeling, may reinforce physical exclusion by promoting collagen deposition, matrix alignment, and stromal stiffening, thereby limiting interstitial migration of T cells and potentially CAR T cells into the tumor parenchyma. In contrast, inflammatory CAFs (iCAFs) are characterized by programs rich in cytokines and chemokines, including IL-6, LIF, CXCL12, and related soluble mediators, which can sustain immune exclusion, recruit suppressive immune populations, and reshape local chemokine gradients. These stromal programs are particularly relevant to adoptive T cell therapy, because even functionally competent T cells may fail to exert effective antitumor activity if they are retained within CAF-rich stromal regions and unable to contact malignant cells 75-77.

Several localized disruption approaches can transiently loosen this compact architecture and recondition the microenvironment, thereby creating a permissive “window” for CAR T cell infiltration and effector activity. In models relevant to lung cancer, radiotherapy, microwave ablation, and nanozyme ablation have each shown synergistic antitumor effects when combined with CAR T cell therapy 78-80. For example, nanozyme ablation followed by infusion of CAR T cells targeting B7-H3 reduced tumor compactness and improved tumor accessibility, resulting in enhanced cytotoxic activity 79. Similarly, microwave ablation combined with AXL-targeted CAR T cells achieved superior tumor control compared with CAR T cell therapy alone 78. In SCLC, chemotherapy may further potentiate CAR T cell efficacy not only by reducing tumor burden, but also by indirectly improving conditions for infiltration and expansion. Proposed mechanisms include relaxation of stromal constraints, increased chemokine expression, and reduction of immunosuppressive cell populations 81.

Beyond direct physical disruption of tumor structure, emerging work has begun to target vascular and perivascular stromal components to improve tissue entry and intratumoral distribution of CAR T cells. Targeting CD248, which is highly expressed by tumor-associated pericytes and perivascular CAFs, has been reported to remodel the aberrant interface between vasculature and stroma and markedly enhance CAR T cell infiltration and antitumor efficacy in lung cancer models 82. Collectively, these findings support direct intervention in tumor vasculature and its supporting stromal scaffold as a promising route to relieve physical constraints and improve therapeutic outcomes.

Overall, physical barriers in lung cancer should not be viewed as static obstacles. Instead, they represent modifiable features that can be strategically manipulated through localized interventions or strategies informed by organ context, thereby increasing opportunities for CAR T cell entry into tumor sites and strengthening antitumor activity.

4. Cellular barriers in the TME

Compared with the initial restriction imposed by physical barriers on the spatial accessibility of CAR T cells, cellular barriers are driven by a dynamic network of immunosuppressive populations that directly undermine CAR T cell expansion, survival, and effector function. In lung cancer, this cellular layer of resistance is often more central and difficult to reverse. It also acts in concert with physical, biochemical, and metabolic barriers to further constrain the therapeutic potential of CAR T cell therapy. Regulatory T cells (Tregs), myeloid-derived suppressor cells (MDSCs), and tumor-associated macrophages (TAMs) are frequently enriched in the TME. These populations often outnumber tumor-infiltrating CAR T cells and are closely associated with poor responses to multiple immunotherapies, including CAR T cell therapy 83-86. Sustained gradients of chemokines (for example, CCL2-CCR2, CXCL8/IL-8-CXCR1/2, CXCL12-CXCR4, and CCL22-CCR4) and cytokines (for example, TGF-β, IL-10, IL-6, GM-CSF/G-CSF, and CSF1 (M-CSF)) continuously recruit these suppressive cells into tumors. They also drive highly dynamic phenotypic and functional remodeling during tumor progression and therapeutic pressure 87.

Despite distinct origins and phenotypic diversity, Tregs, MDSCs, and TAMs converge on overlapping suppressive programs. They secrete inhibitory cytokines such as IL-10 and TGF-β, engage checkpoint pathways involving PD-1, PD-L1, and CTLA-4, and compete metabolically with effector T cells. Together, these mechanisms erode CAR T cell function and in vivo persistence 83-85.

Importantly, checkpoint signaling in this context should not be viewed as an isolated biochemical pathway. Suppressive cellular populations can reinforce PD-1/PD-L1-dependent inhibition by expressing checkpoint ligands, inducing PD-L1 expression on tumor or stromal cells, and sustaining cytokine programs that increase the activation threshold of CAR T cells. Thus, checkpoint-mediated inhibition represents a functional interface between cellular and biochemical barriers in the lung cancer TME. In addition, TAMs can exacerbate immune exclusion by promoting aberrant angiogenesis and interacting with stromal components, further restricting the intratumoral spatial distribution of CAR T cells 88. On this basis, we summarize representative interventions targeting Tregs, MDSCs, and TAMs across four outcome dimensions relevant to CAR T cell therapy: tumor infiltration, in vivo expansion, persistence, and exhaustion (Table 2).

Table 2.

Targeting Tregs, MDSCs and TAMs to enhance CAR T cell efficacy

Cell type CAR T infiltration CAR T expansion CAR T persistence CAR T exhaustion
Tregs Recruitment blockade:
FLX475 (CCR4 antagonist) 89
anti-CCR8 mAb 90
Depletion:
anti-CD25 91,92
anti-CTLA-4 93
Reduce IL-2 dependence / bypass IL-2 sink:
IL-2 axis-tuned CAR designs (e.g., CD28 endodomain tuning) 94
autocrine cytokine-support frameworks (e.g., IL-7 loop) 95
Disarm Treg program / harden CAR T against suppression:
FOXP3-directed approaches 96
IL-2 axis-tuned CAR designs 94
MDSCs Recruitment blockade: CXCR2/CCR2/CCR5 axis inhibitors or Abs 97-99
CAF-CXCL12 axis disruption 100
HDAC/DNMT inhibitors
101
1,25(OH)₂D₃ 102
Depletion:
CD33-directed depletion (gemtuzumab ozogamicin) 103
TRAIL-R2/DR5 agonism (DS-8273a) 104
TKIs (sunitinib/lenvatinib)
105,106
Functional reprogramming:
All-trans retinoic acid (ATRA) 107
Blunt suppressive chemistry:
Arg1/NOS2 targeting
108
ROS-limiting approaches (triterpenoid) 109
FAO inhibition
110
FATP2 inhibition
111
TAMs Recruitment blockade:
CCL2-CCR2 blockade
112
AHR inhibitors
113
Depletion:
CSF1R inhibition
114
FRβ-targeted CAR T
115
CD206/FRβ-targeted BiTEs 116
Prevent CAR T loss / enable co-therapy:
CD40 agonists
117
CD47-axis-compatible CAR designs (e.g., epitope-edited CD47 enabling anti-CD47) 118
Reverse macrophage-driven suppression:
TLR7/8 agonism
119

4.1. Regulatory T cells (Tregs)

Among the suppressive immune populations in the TME, Tregs are a prominent barrier to effective CAR T cell responses, owing to both their numerical advantage and potent inhibitory capacity. Enrichment of intratumoral Tregs is consistently associated with reduced efficacy of immune checkpoint blockade, bispecific T cell engagers, and CAR T cell therapy 86,120-122. In the context of CAR T cell therapy, Treg-mediated suppression can arise through multiple routes. It may reflect ongoing recruitment and expansion of endogenous tumor-resident Tregs. It may also be introduced during manufacturing, through inadvertent CAR transduction of Tregs within the starting T cell population. Clinical evidence indicates that a higher proportion of CAR+ Tregs in the infusion product is significantly associated with lack of response to CAR T cell therapy targeting CD19. Notably, CAR design features and specific manufacturing workflows can influence the frequency of CAR Tregs, providing a rationale for process optimization to mitigate this risk 123,124. Treg accumulation within tumors is shaped by defined chemokine axes, including trafficking through CCR4 and CCR8. Once established in the TME, Tregs can preferentially survive and expand under suppressive cytokine cues (notably TGF-β and IL-10) and harsh metabolic conditions characterized by hypoxia, acidosis, and nutrient scarcity. These factors together sustain Treg suppressive function and reinforce a stable cellular barrier against CAR T cell activity 125,126.

4.2. Myeloid-derived suppressor cells (MDSCs)

MDSCs constrain CAR T cell expansion and durable antitumor activity through highly plastic and pleiotropic suppressive programs. Increased MDSC abundance in the TME or peripheral blood is closely associated with adverse outcomes following CAR T cell therapy 127,128. Mechanistically, MDSCs are preferentially recruited to tumors through key chemokine pathways, including CXCR2, CCR2, and CCR5 129. Once established, they undermine CAR T cell function and survival via multiple parallel mechanisms. These include metabolic competition, reactive oxygen species (ROS) production, secretion of inhibitory cytokines such as IL-10 and TGF-β, and depletion of immunologically critical amino acids, including arginine and tryptophan 130.

Importantly, suppression mediated by MDSCs is often reversible. Pharmacologic or immune strategies that reduce MDSC abundance or directly disrupt their suppressive programs can restore CAR T cell proliferation, effector function, and persistence, thereby improving overall antitumor efficacy 106,131,132. These features position MDSCs as a highly actionable partner for combination strategies designed to enhance CAR T cell therapy in solid tumors.

4.3. Tumor-associated macrophages (TAMs)

By contrast, TAMs represent the numerically dominant suppressive compartment in many solid tumors and constitute a central component of cellular barriers to CAR T cell therapy. TAM recruitment is driven largely by the CCL2-CCR2 axis, and enrichment of M2-like states is closely linked to poor prognosis across multiple solid tumor types 133,134. TAMs suppress CAR T cell activity through both direct and indirect mechanisms. Directly, they secrete inhibitory cytokines such as IL-10 and TGF-β and express checkpoint ligands including PD-L1, thereby linking suppression by macrophages to inhibition of CAR T cell activation through the PD-1/PD-L1 axis. Indirectly, they promote aberrant angiogenesis and stromal remodeling, which further restricts CAR T cell infiltration.

Accordingly, targeting TAMs has become an important strategy to improve CAR T cell efficacy. Reprogramming TAMs toward pro-inflammatory, M1-like phenotypes using CD40 agonists, TLR ligands, or CSF-1R inhibitors can be more effective than indiscriminate depletion in restoring T cell function and reshaping the immune microenvironment 119,135-137. In addition, phagocytosis of tumor material by TAMs has been proposed as a mechanism contributing to resistance to CAR T cell therapy, motivating engineering approaches to mitigate macrophage-driven clearance or rewire myeloid checkpoints 118. For example, armored CAR T cells engineered to secrete factors that reprogram TAMs (such as anti-IL-10 antibodies or GM-CSF antagonists), or CAR T cells modified to resist TAM-mediated phagocytic mechanisms, may offer complementary routes for combination therapy 118.

Overall, Tregs, MDSCs, and TAMs form a highly dynamic and mutually reinforcing immunosuppressive network. This network cooperates with physical and biochemical barriers to systematically restrict CAR T cell infiltration, survival, and effector function.

4.4. Overcoming cellular barriers to enhance CAR T therapy in lung cancer

In lung cancer, immunosuppressive cellular programs can emerge early in disease and are frequently reshaped by prior lines of therapy, including chemotherapy, radiotherapy, and immune checkpoint blockade 138. As a result, before infusion, patients enrolled in CAR T cell trials may already have a TME enriched in suppressive myeloid populations and sustained inhibitory checkpoint signaling. This creates an unfavorable baseline for subsequent cellular therapy 138-140. To address this challenge, the field has moved beyond simply “depleting” suppressor cells. Current approaches increasingly combine active rewiring of the TME with engineering of more resilient CAR T cell products that can adapt to context. A more direct strategy is to convert suppressive myeloid cells into therapeutic entry points. Recent work showed that IL-12-armored CAR T cells targeting FOLR2+ or TREM2+ TAMs depleted suppressive macrophages, expanded CXCL9+ immunostimulatory macrophages, and activated endogenous CD8+ T cells. Importantly, IL-12-armored anti-TREM2 CAR T cells reduced tumor burden and prolonged survival in a metastatic lung cancer model, supporting TAM-directed CAR T engineering as a strategy to convert myeloid barriers into drivers of antitumor immunity 141.

Another strategy is to indirectly reprogram suppressive myeloid circuits through regimen design. Adding oxaliplatin to lymphodepletion has been reported to activate TAMs and induce pro-inflammatory chemokines, thereby reshaping the TME and promoting recruitment and activity of ROR1-targeted CAR T cells in lung tumor models 31. This concept is further supported in SCLC, which is often characterized by low T cell infiltration alongside amplified myeloid immunosuppression. In this setting, DLL3-targeted CAR T cells engineered to secrete a CD47-blocking protein can disrupt CD47-SIRPα “don't eat me” signaling. This shifts TAM function from immunosuppression toward tumor phagocytosis, effectively converting an immune barrier into an antitumor effector mechanism 142. In addition, lung cancer models suggest that CAR T cell derived exosomes (CAR-Exos) can mediate direct tumor cell killing and substantially increase intratumoral CD8⁺ T cell infiltration, partially offsetting the numerical dominance of suppressive immune populations 143. Together, these findings highlight the importance of restructuring suppressive cellular networks in lung cancer.

Nanotechnology-enabled modulation of the TME also shows translational potential. In lung cancer models, PD-L1-targeted nanovesicles delivering a STING agonist can simultaneously reprogram inflammatory signaling and checkpoint pathways, reduce myeloid immunosuppression, promote CAR T cell infiltration, and alleviate exhaustion 144. Immunomodulatory nanoplatforms, exemplified by CuS photothermal nanoparticles, can selectively reduce MDSCs while enhancing CD8⁺ and CD4⁺ T cell infiltration and limiting regulatory Treg enrichment in lung tumor models 145. Although these platforms have not yet been broadly integrated with CAR T cell therapy, they support a clinically tractable principle: reshaping myeloid suppression while improving T cell access may provide effective combination strategies for lung cancer.

Building on these concepts, integrated delivery systems that directly couple CAR T cell therapy with microenvironmental interventions are beginning to emerge. For example, mesenchymal stem cell-mediated delivery of an oncolytic adenovirus encoding IL-12 and a PD-L1 blocker substantially enhanced the antitumor efficacy of HER2-targeted CAR T cells in preclinical models 146. By amplifying pro-inflammatory cues while relieving checkpoint inhibition, such combinatorial delivery strategies can partially reverse tolerance maintained by multiple suppressive immune compartments.

Taken together, cellular resistance in lung cancer is not driven by any single immunosuppressive subset. Rather, it reflects the combined influence of prior treatment history, checkpoint signaling, and the functional states of myeloid cells. To overcome this durable and evolving network, CAR T cell therapy will likely need to be integrated with TME-modulating strategies. Such coordinated approaches may be required to achieve more robust and sustained therapeutic effects in this immunosuppression-dominant solid tumor setting.

5. Biochemical and metabolic barriers in the TME

Beyond physical and cellular constraints, CAR T cells that reach solid tumors are exposed to a profoundly suppressive biochemical and metabolic milieu. This environment is shaped by immunosuppressive cytokines, persistently engaged immune checkpoint signaling, dysregulated chemotactic gradients, and an extremely nutrient-poor and hostile metabolic landscape. Together, these factors undermine CAR T cell activation, persistence, and effector function across multiple levels, spanning signal transduction, cellular positioning, and energy supply. Ultimately, they promote dysfunction and exhaustion 72.

5.1. Immunosuppressive soluble factors

The TME is often enriched in immunosuppressive cytokines, with TGF-β and IL-10 as prototypical examples. These factors are produced by tumor cells, TAMs, Tregs, and other stromal components 126,147. They can dampen CAR-associated signaling, reduce effector cytokine production, and induce transcriptional programs linked to T cell dysfunction, thereby weakening the antitumor activity of CAR T cells.

5.2. Immune checkpoint signaling

As discussed above, immune checkpoint signaling is closely reinforced by suppressive cellular populations in the lung cancer TME. At the same time, immune checkpoint pathways also represent a major biochemical mechanism that directly restrains CAR T cell activation and effector function. Sustained activation of the PD-1/PD-L1 and CTLA-4 axes across tumor cells, stromal cells, and suppressive immune populations can markedly impair CAR T cell activity 148. PD-1 signaling limits T cell activation, proliferation, and survival in part by suppressing CD28-dependent PI3K-Akt signaling 149,150. In parallel, CTLA-4 competitively antagonizes CD28-CD80/CD86 costimulation, deepening hyporesponsiveness and promoting functional exhaustion 151.

5.3. Chemokine dysregulation

Chemokine dysregulation represents another major biochemical barrier. Many solid tumors exhibit a “chemokine desert” phenotype. They lack T helper 1 (Th1)-type chemokines that recruit cytotoxic lymphocytes, such as CXCL9 and CXCL10. Restoring these CXCR3 ligands has been shown to improve T cell infiltration and enhance responses to immunotherapy 152,153. In parallel, tumors often overexpress chemokines such as CCL2, CCL5 and CXCL12. These signals preferentially recruit suppressive populations, including Tregs and MDSCs, into the tumor microenvironment. This skewed recruitment impairs CAR T cell homing and spatial distribution. It also reinforces immune suppression, strengthens immune exclusion, and in some settings helps sustain hypoxia 154-156.

5.4. Metabolic competition

Aberrant tumor metabolism constitutes the deepest layer of metabolic constraint. Hypoxia, nutrient deprivation (notably glucose and glutamine), and extracellular acidification together create a hostile metabolic niche. In this setting, CAR T cells face an energy crisis and direct metabolic competition with tumor cells 157,158. Hypoxia activates hypoxia-inducible factors (HIF-1α and HIF-2α). This can upregulate inhibitory molecules such as PD-L1, VISTA and CD47. It may also promote immune evasion by triggering autophagy and inducing tumor expression of HLA-G and HLA-E 159-161. In addition, metabolites enriched in tumors and stromal compartments, including prostaglandin E2 (PGE2), adenosine and ROS, directly suppress T cell metabolic programs and effector function through receptors such as A2AR. These cues accelerate CAR T cell dysfunction and exhaustion 162,163.

Under sustained biochemical and metabolic pressure, CAR T cells progressively acquire an intrinsic exhaustion program. This is characterized by reduced proliferative capacity, weakened cytotoxicity, diminished cytokine production, and persistent upregulation of inhibitory receptors 164,165. Collectively, biochemical and metabolic barriers form a critical “non-cellular” layer of resistance after CAR T cells enter tumors. By continuously rewiring signaling, metabolic fitness, and transcriptional state, they impose a system-level constraint on CAR T cell efficacy in solid tumors (Figure 2) 72.

Figure 2.

Figure 2

Biochemical and metabolic barriers driving CAR T cell dysfunction in the TME. CAR T cells entering tumors encounter layered non-physical suppression barriers. These include checkpoint-mediated signal brakes at the cell-cell interface, soluble immunosuppressive mediators, metabolic competition and hostile conditions (hypoxia, nutrient depletion, lactate and adenosine), and chemokine dysregulation that impairs homing while recruiting suppressive cells. Together, these cues converge to promote CAR T cell dysfunction and persistent exhaustion (Created with BioRender.com).

5.5. Overcoming biochemical and metabolic barriers to enhance CAR T cell therapy in lung cancer

The PD-1/PD-L1 axis has broad relevance to lung cancer biology and treatment. Immune checkpoint inhibitors have become a cornerstone of therapy for non-small cell lung cancer (NSCLC), underscoring the functional importance of this pathway within the lung cancer tumor microenvironment 166. Preclinical studies further show that dampening PD-1/PD-L1 signaling can restore and amplify CAR T cell activity in lung cancer models. This can be achieved either by combining CAR T cells with systemic PD-1/PD-L1 blockade or by engineering CAR T cells to resist checkpoint inhibition, for example through PD-1 gene knockout or expression of a dominant-negative PD-1 receptor 15.

To address CAR T cell recruitment and positioning failures driven by dysregulated chemokine gradients in lung tumors, current strategies emphasize guided homing and local rewiring. Engineering CAR T cells to co-express selected chemokine receptors (such as CXCR5 or CCR6) enables them to actively respond to cognate ligands enriched at tumor sites, thereby improving trafficking to lung tumor regions 14,167. These findings support the concept that reprogramming chemokine axes can partially relieve biochemical barriers in lung cancer. In addition, in SCLC models, equipping CAR T cells with the capacity to secrete defined chemokines or cytokines (for example IL-7, IL-18, or CCL19) has been reported to enhance antitumor activity and promote intratumoral immune remodeling, outperforming conventional CAR T cells 41,168.

As noted above, many patients with lung cancer have already received multiple lines of systemic therapy, including chemotherapy, before CAR T cell treatment. Chemotherapy not only reduces tumor burden, but can also indirectly shape CAR T cell infiltration and function by rewiring local cytokine profiles, chemokine networks, and metabolic stress. Certain agents trigger damage-associated programs and increase chemokine expression, thereby creating more permissive conditions for CAR T cells. For example, docetaxel has been reported to upregulate CXCL11 and promote HMGB1 release, which enhanced infiltration of HER2-targeted CAR T cells and improved therapeutic outcomes in lung cancer models 34. Similarly, regimens based on oxaliplatin can increase tumor sensitivity to PD-L1 blockade and synergistically augment CAR T cell antitumor activity 31. In addition, a preclinical NSCLC model showed that intratumoral delivery of engineered dendritic cells that continuously secrete CXCL9 and CXCL10 enhanced T cell infiltration and functional activation and suppressed tumor growth 169. Together, these findings suggest that rationally leveraging the immunomodulatory effects of chemotherapy and integrating them into CAR T cell preconditioning regimens is a practical route to improve efficacy using clinically available tools.

On the metabolic side, directly targeting dominant suppressive signals generated by tumor metabolism offers a rapid entry point to restore CAR T cell function. Adenosine is produced at high levels by tumor and stromal cells through the CD39/CD73 enzymatic axis and suppresses T cell activation and proliferation through adenosine A2A receptor (A2AR) signaling. In lung cancer models, knockout of A2AR in CAR T cells using CRISPR/Cas9 significantly enhanced antitumor activity, highlighting the potential of targeting the adenosine pathway to relieve metabolic suppression 170.

In addition, metabolic programming during ex vivo manufacturing can be used to precondition CAR T cells for improved fitness and persistence after infusion. Distinct T cell subsets rely on different metabolic circuits. Highly glycolytic effector T cells are more prone to dysfunction and exhaustion, whereas memory populations, such as memory stem T cells and central memory T cells, preferentially use oxidative phosphorylation and fatty acid oxidation and exhibit superior long-term survival and proliferative capacity. 171. Accordingly, limiting excessive glycolysis while preserving mitochondrial metabolism during manufacturing may reduce the risk of intrinsic exhaustion. Supplementation with cytokines such as IL-7, IL-15, IL-21, and IL-10, as well as short-chain fatty acids or alternative carbon sources, has been reported to promote memory-like CAR T cell states and enhance antitumor function 172-176. Notably, combined IL-7 and IL-15 conditioning produced a clear sensitizing effect in an EGFR-targeted CAR T cell lung cancer model 171.

Building on the intertwined nature of metabolic suppression and chemotactic dysfunction, “co-engineering” strategies based on intelligent nanodelivery systems are advancing rapidly. For example, a tumor microenvironment-responsive nanoimmunomodulator, FMANAC, has been designed to release the chemokine CCL5 under acidic conditions to improve T cell recruitment, while simultaneously releasing the indoleamine 2,3-dioxygenase (IDO) inhibitor NLG919 to relieve tryptophan metabolism-driven immunosuppression. When combined with CD276-targeted CAR T cells, this approach significantly enhanced antitumor efficacy in the H460 lung cancer model 177. Similarly, programmable anti-PD-L1 nanovesicles have been used to deliver a glutamine antagonist in a targeted manner. This strategy suppresses tumor metabolism while concurrently blocking checkpoint signaling, thereby improving CAR T cell infiltration and promoting durable antitumor activity in an orthotopic lung cancer model 178.

More broadly, the lung cancer microenvironment is typified by hypoxia, competitive glucose depletion, and lactate accumulation, which together create a deep metabolic barrier that restrains T cell function. In response, multiple engineering approaches have been proposed to improve the metabolic adaptability of CAR T cells. One direction is intrinsic metabolic rewiring, enabling CAR T cells to function under resource-limited conditions. Examples include hypoxia-responsive CAR T cells or strategies that enhance glucose uptake to sustain proliferation and effector activity in metabolically hostile niches 179,180. A complementary direction is extrinsic metabolic remodeling, in which biomimetic or catalytic systems are deployed to improve the local metabolic ecosystem encountered by CAR T cells. For instance, a nanocatalytic platform camouflaged with CAR T cell membranes has been reported to inhibit tumor glycolysis and reduce lactate levels, indirectly alleviating chemical stress within the tumor milieu 181. Although these approaches have not yet been systematically validated in lung cancer models, they target metabolic features that are highly prevalent in lung tumors, supporting clear translational potential. Collectively, these interventions form a multidimensional toolkit to overcome chemotactic and metabolic suppression and reinvigorate CAR T cell activity in lung cancer.

6. Combination strategies to enhance CAR T therapy in lung cancer

Given these multilayered barriers, the goal of combination strategies in lung cancer CAR T therapy is not simply to add more treatments, but to use TME priming or context-matched interventions to convert antigen recognition into more durable intratumoral effector function (Figure 3).

Figure 3.

Figure 3

Mechanism-matched strategies to enhance CAR T therapy in lung cancer. The schematic summarizes representative strategies to improve CAR T therapy in lung cancer, including multi-antigen targeting, enhanced CAR T trafficking, relief of immunosuppression, persistence and fitness support, local delivery and engineered CAR platforms, and safety-control approaches. These barrier-matched strategies aim to improve tumor access, reduce TME-mediated suppression, enhance CAR T cell persistence, and increase therapeutic safety (Created with BioRender.com).

Current studies in lung cancer suggest that optimization of chemotherapy or lymphodepletion, local ablation, radiotherapy, nanodelivery, and local immunomodulatory platforms can all serve as approaches for TME priming. Chemotherapy and lymphodepletion not only reduce tumor burden, but may also create a window for CAR T cell recruitment and expansion by inducing pro-inflammatory chemokines, altering myeloid cell states, and enhancing antigen release. For example, immunogenic chemotherapy has been shown to enhance CAR T cell recruitment to lung tumors and to further improve antitumor activity when combined with checkpoint blockade 31. Local ablation, radiotherapy, and structural remodeling by nanozymes may transiently loosen dense tumor architecture and thereby improve CAR T cell access to the tumor parenchyma. Studies of inhaled PD-L1-targeted nanovesicles loaded with a STING agonist, nanozyme-mediated TME remodeling, and armed oncolytic viruses delivering immunomodulatory payloads further support local immune modulation as a promising strategy to reshape the lung cancer TME before or during CAR T therapy 144,182.

Checkpoint blockade is another important combination strategy, but its role should be interpreted in the context of antigen presentation status and the immune background of the TME. The limited benefit of PD-L1 blockade in SCLC suggests that releasing PD-1/PD-L1 inhibition alone is often insufficient to restore effective antitumor immunity. Defective MHC-I antigen presentation and an immune-protective TME may still restrict cytotoxic T cell recognition and tumor cell clearance 183. Therefore, checkpoint blockade may be more effective when paired with strategies that improve tumor accessibility, broaden antigen coverage, or remodel myeloid suppression.

Beyond studies specific to lung cancer, several combination approaches reported in other solid tumors may also provide useful directions for CAR T therapy. Anti-angiogenic therapy may promote vascular normalization, improve perfusion, and increase lymphocyte entry through VEGF blockade. Although direct evidence in lung cancer CAR T therapy remains limited, related CAR T models support its feasibility in improving cell delivery and antitumor efficacy. Cancer vaccines may also serve as an adjunctive module. For example, a CLDN6 RNA vaccine combined with CLDN6 CAR T cells showed preliminary signals of disease control in CLDN6-positive relapsed or refractory solid tumors, suggesting that vaccines may improve persistence by enhancing antigen stimulation or supporting CAR T cell expansion 184. In addition, microbiota-derived short-chain fatty acids have been reported to promote CAR T cell persistence and antitumor activity, indicating that metabolic support may represent another avenue for future optimization 174.

Future studies should further refine combination strategies based on dominant resistance mechanisms. Tumors dominated by poor infiltration and spatial exclusion may be better suited to combinations with vascular or stromal remodeling, local ablation, or radiotherapy. Tumors characterized mainly by checkpoint signaling and myeloid suppression may benefit more from checkpoint blockade, STING activation, or TAM/MDSC reprogramming. In settings where limited persistence or functional exhaustion predominates, more appropriate conditioning regimens, metabolic support, or maintenance strategies may be required (Figure 3). Future studies should define optimal treatment sequencing, delivery routes, toxicity control, patient selection, and monitorable TME biomarkers to ensure that increasingly complex combination strategies translate into durable clinical benefit.

7. Conclusion and Future Perspectives

The success of CAR T cell therapy in hematologic malignancies has demonstrated its strong therapeutic potential, but its translation into solid tumors such as lung cancer remains substantially limited. Current development of CAR T therapy in lung cancer has covered multiple candidate targets and shown early feasibility; however, stable, durable, and reproducible clinical benefit has not yet been established. This gap indicates that the central challenge in lung cancer CAR T therapy is not simply a lack of ideal targets, but the failure to achieve an effective match among target recognition, therapeutic window, tumor accessibility, TME suppression, and CAR T cell persistence.

Among these constraints, the TME is a critical arena that determines whether CAR T activity can be converted into therapeutic efficacy in lung cancer. Aberrant vasculature, dense stroma, immunosuppressive cellular networks, checkpoint signaling, chemokine dysregulation, and metabolic stress do not operate in isolation. Instead, they form a dynamic and mutually reinforcing resistance system. Within this system, CAR T cells may recognize tumor antigens but still progressively lose effector activity because of poor tumor entry, functional suppression, failed metabolic adaptation, or persistent antigen stimulation. Therefore, understanding and reshaping the lung cancer TME should not be viewed as an auxiliary component of CAR T therapy, but as a central strategy for improving its clinical translation.

Future development of CAR T therapy in lung cancer should move beyond simply enhancing CAR T cell cytotoxicity toward a more integrated design based on defined mechanisms. Safer and more adaptable CAR T products should be combined with rationally selected TME-modulating interventions and combination strategies, and further matched to each patient's antigen status, degree of immune exclusion, stromal architecture, and metabolic pressure. Future studies should also define optimal treatment sequencing, delivery routes, toxicity management, and monitorable TME biomarkers. Ultimately, whether CAR T therapy can achieve consistent benefit in lung cancer will depend on its ability to continuously convert antigen recognition into effective intratumoral tumor killing within a complex, dynamic, and immunosuppressive TME.

Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 82273294), the Science and Technology Department of Sichuan Province (2022YFS0136), the Chengdu Bureau of Science and Technology (2022-YF05-01316-SN), and the Postdoctoral Research Fund of West China Hospital, Sichuan University (2025HXBH099).

Abbreviations

A2AR

adenosine A2A receptor

CAFs

cancer-associated fibroblasts

CAR T cells

chimeric antigen receptor T cells

CTLA-4

cytotoxic T-lymphocyte-associated protein 4

ECM

extracellular matrix

HIF

hypoxia-inducible factor

IDO

indoleamine 2,3-dioxygenase

MDSCs

myeloid-derived suppressor cells

NSCLC

non-small cell lung cancer

PD-1

programmed cell death protein 1

PD-L1

programmed death-ligand 1

PGE2

prostaglandin E2

ROS

reactive oxygen species

SCLC

small cell lung cancer

STING

stimulator of interferon genes

TAAs

tumor-associated antigens

TAMs

tumor-associated macrophages

TME

tumor microenvironment

Tregs

regulatory T cells

VEGF

vascular endothelial growth factor

Funding Statement

This work was supported by the National Natural Science Foundation of China (No. 82273294), the Science and Technology Department of Sichuan Province (2022YFS0136), the Chengdu Bureau of Science and Technology (2022-YF05-01316-SN), and the Postdoctoral Research Fund of West China Hospital, Sichuan University (2025HXBH099).

References

  • 1.Guo L, Zhu C, Cai L. et al. Global burden of lung cancer in 2022 and projected burden in 2050. Chin Med J (Engl) 2024;137:2577–82. doi: 10.1097/CM9.0000000000003268. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Horn L, Mansfield AS, Szczęsna A. et al. First-line atezolizumab plus chemotherapy in extensive-stage small-cell lung cancer. N Engl J Med. 2018;379:2220–9. doi: 10.1056/NEJMoa1809064. [DOI] [PubMed] [Google Scholar]
  • 3.Houot R, Schultz LM, Marabelle A, Kohrt H. T-cell-based immunotherapy: Adoptive cell transfer and checkpoint inhibition. Cancer Immunol Res. 2015;3:1115–22. doi: 10.1158/2326-6066.CIR-15-0190. [DOI] [PubMed] [Google Scholar]
  • 4.Capolla S, Rasool M, Toffoli G, Dal Bo M. CAR-T cell manufacturing for hematological and solid tumors: From the preclinical to clinical point of view. Cancer Med. 2025;14:e70726. doi: 10.1002/cam4.70726. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Hu Z, Zheng X, Jiao D. et al. LunX-CAR T cells as a targeted therapy for non-small cell lung cancer. Mol Ther Oncolytics. 2020;17:361–70. doi: 10.1016/j.omto.2020.04.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Li P, Zhou D, Chen D. et al. Tumor-secreted IFI35 promotes proliferation and cytotoxic activity of CD8+ T cells through PI3K/AKT/mTOR signaling pathway in colorectal cancer. J Biomed Sci. 2023;30:47. doi: 10.1186/s12929-023-00930-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Wehrli M, Guinn S, Birocchi F. et al. Mesothelin CAR T cells secreting anti-FAP/anti-CD3 molecules efficiently target pancreatic adenocarcinoma and its stroma. Clin Cancer Res. 2024;30:1859–77. doi: 10.1158/1078-0432.CCR-23-3841. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Pal SK, Tran B, Haanen JBAG. et al. CD70-targeted allogeneic CAR T-cell therapy for advanced clear cell renal cell carcinoma. Cancer Discov. 2024;14:1176–89. doi: 10.1158/2159-8290.CD-24-0102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Wagner J, Wickman E, DeRenzo C, Gottschalk S. CAR T cell therapy for solid tumors: Bright future or dark reality? Mol Ther. 2020;28:2320–39. doi: 10.1016/j.ymthe.2020.09.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Tantalo DG, Oliver AJ, von Scheidt B. et al. Understanding T cell phenotype for the design of effective chimeric antigen receptor T cell therapies. J Immunother Cancer. 2021;9:e002555. doi: 10.1136/jitc-2021-002555. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Jenkins E, Whitehead T, Fellermeyer M, Davis SJ, Sharma S. The current state and future of T-cell exhaustion research. Oxf Open Immunol. 2023;4:iqad006. doi: 10.1093/oxfimm/iqad006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Feng K, Guo Y, Dai H. et al. Chimeric antigen receptor-modified T cells for the immunotherapy of patients with EGFR-expressing advanced relapsed/refractory non-small cell lung cancer. Sci China Life Sci. 2016;59:468–79. doi: 10.1007/s11427-016-5023-8. [DOI] [PubMed] [Google Scholar]
  • 13.Zhang Y, Zhang Z, Ding Y. et al. Phase I clinical trial of EGFR-specific CAR-T cells generated by the piggyBac transposon system in advanced relapsed/refractory non-small cell lung cancer patients. J Cancer Res Clin Oncol. 2021;147:3725–34. doi: 10.1007/s00432-021-03613-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Li G, Guo J, Zheng Y. et al. CXCR5 guides migration and tumor eradication of anti-EGFR chimeric antigen receptor T cells. Mol Ther Oncolytics. 2021;22:507–17. doi: 10.1016/j.omto.2021.07.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Wang J, Wang Y, Pan H. et al. Chemokine receptors CCR6 and PD1 blocking scFv E27 enhances anti-EGFR CAR-T therapeutic efficacy in a preclinical model of human non-small cell lung carcinoma. Int J Mol Sci. 2023;24:5424. doi: 10.3390/ijms24065424. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Li G, Liao G, Xie J, Liu B, Li X, Qiu M. Overexpression of SMAD7 improves the function of EGFR-targeted human CAR-T cells against non-small-cell lung cancer. Respirology. 2023;28:869–80. doi: 10.1111/resp.14541. [DOI] [PubMed] [Google Scholar]
  • 17.Kachala SS, Bograd AJ, Villena-Vargas J. et al. Mesothelin overexpression is a marker of tumor aggressiveness and is associated with reduced recurrence-free and overall survival in early-stage lung adenocarcinoma. Clin Cancer Res. 2014;20:1020–8. doi: 10.1158/1078-0432.CCR-13-1862. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Ghosn M, Cheema W, Zhu A. et al. Image-guided interventional radiological delivery of chimeric antigen receptor (CAR) T cells for pleural malignancies in a phase I/II clinical trial. Lung Cancer. 2022;165:1–9. doi: 10.1016/j.lungcan.2022.01.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Tokatlian T, Asuelime GE, Mock J-Y. et al. Mesothelin-specific CAR-T cell therapy that incorporates an HLA-gated safety mechanism selectively kills tumor cells. J Immunother Cancer. 2022;10:e003826. doi: 10.1136/jitc-2021-003826. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Wei X, Lai Y, Li J. et al. PSCA and MUC1 in non-small-cell lung cancer as targets of chimeric antigen receptor T cells. Oncoimmunology. 2017;6:e1284722. doi: 10.1080/2162402X.2017.1284722. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Posey AD, Schwab RD, Boesteanu AC. et al. Engineered CAR T cells targeting the cancer-associated tn-glycoform of the membrane mucin MUC1 control adenocarcinoma. Immunity. 2016;44:1444–54. doi: 10.1016/j.immuni.2016.05.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Steentoft C, Migliorini D, King TR, Mandel U, June CH, Posey AD. Glycan-directed CAR-T cells. Glycobiology. 2018;28:656–69. doi: 10.1093/glycob/cwy008. [DOI] [PubMed] [Google Scholar]
  • 23.Wang A, Lv T, Song Y. Tandem CAR-T cells targeting MUC1 and PSCA combined with anti-PD-1 antibody exhibit potent preclinical activity against non-small cell lung cancer. Cell Immunol. 2023;391-392:104760. doi: 10.1016/j.cellimm.2023.104760. [DOI] [PubMed] [Google Scholar]
  • 24.Kawaguchi T, Sho M, Tojo T. et al. Clinical significance of prostate stem cell antigen expression in non-small cell lung cancer. Jpn J Clin Oncol. 2010;40:319–26. doi: 10.1093/jjco/hyp181. [DOI] [PubMed] [Google Scholar]
  • 25.Grunnet M, Sorensen JB. Carcinoembryonic antigen (CEA) as tumor marker in lung cancer. Lung Cancer. 2012;76:138–43. doi: 10.1016/j.lungcan.2011.11.012. [DOI] [PubMed] [Google Scholar]
  • 26.Kumar J, Kumar R, Kumar Singh A. et al. Deletion of cbl-b inhibits CD8+ T-cell exhaustion and promotes CAR T-cell function. J Immunother Cancer. 2021;9:e001688. doi: 10.1136/jitc-2020-001688. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Zhang C, Wang L, Zhang Q. et al. Screening and characterization of the scFv for chimeric antigen receptor T cells targeting CEA-positive carcinoma. Front Immunol. 2023;14:1182409. doi: 10.3389/fimmu.2023.1182409. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Sun C, Mezzadra R, Schumacher TN. Regulation and function of the PD-L1 checkpoint. Immunity. 2018;48:434–52. doi: 10.1016/j.immuni.2018.03.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Liu M, Wang X, Li W. et al. Targeting PD-L1 in non-small cell lung cancer using CAR T cells. Oncogenesis. 2020;9:72. doi: 10.1038/s41389-020-00257-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Bajor M, Graczyk-Jarzynka A, Marhelava K. et al. PD-L1 CAR effector cells induce self-amplifying cytotoxic effects against target cells. J Immunother Cancer. 2022;10:e002500. doi: 10.1136/jitc-2021-002500. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Srivastava S, Furlan SN, Jaeger-Ruckstuhl CA. et al. Immunogenic chemotherapy enhances recruitment of CAR-T cells to lung tumors and improves antitumor efficacy when combined with checkpoint blockade. Cancer Cell. 2021;39:193–208.e10. doi: 10.1016/j.ccell.2020.11.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Ou Z, Dou X, Tang N, Liu G. Pressure increases PD-L1 expression in A549 lung adenocarcinoma cells and causes resistance to anti-ROR1 CAR T cell-mediated cytotoxicity. Sci Rep. 2022;12:6919. doi: 10.1038/s41598-022-10905-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Li F, Gu F, Li Q, Zhai C, Gong R, Zhu X. ROR1-AS1 knockdown inhibits growth and invasion and promotes apoptosis in NSCLC cells by suppression of the PI3K/akt/mTOR pathway. J Biochem Mol Toxicol. 2021;35:e22726. doi: 10.1002/jbt.22726. [DOI] [PubMed] [Google Scholar]
  • 34.Gao Q, Wang S, Chen X. et al. Cancer-cell-secreted CXCL11 promoted CD8+ T cells infiltration through docetaxel-induced-release of HMGB1 in NSCLC. J Immunother Cancer. 2019;7:42. doi: 10.1186/s40425-019-0511-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Gao Q, Wang S, Li F. et al. High mobility group protein B1 decreases surface localization of PD-1 to augment T-cell activation. Cancer Immunol Res. 2022;10:844–55. doi: 10.1158/2326-6066.CIR-21-0652. [DOI] [PubMed] [Google Scholar]
  • 36.Morgan RA, Yang JC, Kitano M, Dudley ME, Laurencot CM, Rosenberg SA. Case report of a serious adverse event following the administration of T cells transduced with a chimeric antigen receptor recognizing ERBB2. Mol Ther. 2010;18:843–51. doi: 10.1038/mt.2010.24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Kristmann B, Werchau N, Suresh L. et al. Targeting CD276 with adapter-CAR T-cells provides a novel therapeutic strategy in small cell lung cancer and prevents CD276-dependent fratricide. J Hematol Oncol. 2025;18:76. doi: 10.1186/s13045-025-01729-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Jansen L, Wienke J, Molkenbur R, Rossig C, Meissner R. B7-H3 in the tumor microenvironment: Implications for CAR T cell therapy in pediatric solid tumors. Cancer Metastasis Rev. 2025;44:77. doi: 10.1007/s10555-025-10294-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Rojo F, Corassa M, Mavroudis D. et al. International real-world study of DLL3 expression in patients with small cell lung cancer. Lung Cancer. 2020;147:237–43. doi: 10.1016/j.lungcan.2020.07.026. [DOI] [PubMed] [Google Scholar]
  • 40.Zhang Y, Tacheva-Grigorova SK, Sutton J. et al. Allogeneic CAR T cells targeting DLL3 are efficacious and safe in preclinical models of small cell lung cancer. Clin Cancer Res. 2023;29:971–85. doi: 10.1158/1078-0432.CCR-22-2293. [DOI] [PubMed] [Google Scholar]
  • 41.Jaspers JE, Khan JF, Godfrey WD. et al. IL-18-secreting CAR T cells targeting DLL3 are highly effective in small cell lung cancer models. J Clin Invest. 2023;133:e166028. doi: 10.1172/JCI166028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Reppel L, Tsahouridis O, Akulian J. et al. Targeting disialoganglioside GD2 with chimeric antigen receptor-redirected T cells in lung cancer. J Immunother Cancer. 2022;10:e003897. doi: 10.1136/jitc-2021-003897. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Mao Y, Fan W, Hu H. et al. MAGE-A1 in lung adenocarcinoma as a promising target of chimeric antigen receptor T cells. J Hematol Oncol. 2019;12:106. doi: 10.1186/s13045-019-0793-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Jie Y, Liu G, Feng L. et al. PTK7-targeting CAR T-cells for the treatment of lung cancer and other malignancies. Front Immunol. 2021;12:665970. doi: 10.3389/fimmu.2021.665970. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Zugazagoitia J, Osma H, Baena J, Ucero AC, Paz-Ares L. Facts and hopes on cancer immunotherapy for small cell lung cancer. Clin Cancer Res. 2024;30:2872–83. doi: 10.1158/1078-0432.CCR-23-1159. [DOI] [PubMed] [Google Scholar]
  • 46.Gay CM, Stewart CA, Park EM. et al. Patterns of transcription factor programs and immune pathway activation define four major subtypes of SCLC with distinct therapeutic vulnerabilities. Cancer Cell. 2021;39:346–360.e7. doi: 10.1016/j.ccell.2020.12.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Sutherland KD, Ireland AS, Oliver TG. Killing SCLC: Insights into how to target a shapeshifting tumor. Genes Dev. 2022;36:241–58. doi: 10.1101/gad.349359.122. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.McCue AC, Yao Z, Kuhlman B. Advances in modular control of CAR-T therapy with adapter-mediated CARs. Adv Drug Deliv Rev. 2022;187:114358. doi: 10.1016/j.addr.2022.114358. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Li H-S, Wong NM, Tague E, Ngo JT, Khalil AS, Wong WW. High-performance multiplex drug-gated CAR circuits. Cancer Cell. 2022;40:1294–1305.e4. doi: 10.1016/j.ccell.2022.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Labanieh L, Majzner RG, Klysz D. et al. Enhanced safety and efficacy of protease-regulated CAR-T cell receptors. Cell. 2022;185:1745–1763.e22. doi: 10.1016/j.cell.2022.03.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Cui Y, Yuan T, Wang Y. et al. T lymphocytes expressing the switchable chimeric fc receptor CD64 exhibit augmented persistence and antitumor activity. Cell Rep. 2023;42:112797. doi: 10.1016/j.celrep.2023.112797. [DOI] [PubMed] [Google Scholar]
  • 52.Liu Y, An L, Wang X. et al. Engineering a controllable and reversible switch for CAR-based cellular immunotherapies via a genetic code expansion system. J Hematol Oncol. 2024;17:122. doi: 10.1186/s13045-024-01648-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Miller IC, Zamat A, Sun L-K. et al. Enhanced intratumoural activity of CAR T cells engineered to produce immunomodulators under photothermal control. Nat Biomed Eng. 2021;5:1348–59. doi: 10.1038/s41551-021-00781-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Zhou Z, Zhu Y, Zhao J. et al. Dabrafenib upregulates hypoglycosylated MUC1 and improves the therapeutic efficacy of tn-MUC1 CAR-T cells. Sci Bull (Beijing) 2025;70:1586–90. doi: 10.1016/j.scib.2024.12.001. [DOI] [PubMed] [Google Scholar]
  • 55.Ma W, Wang Y, Zhang R. et al. Targeting PAK4 to reprogram the vascular microenvironment and improve CAR-T immunotherapy for glioblastoma. Nat Cancer. 2021;2:83–97. doi: 10.1038/s43018-020-00147-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Fan Y. Vascular detransformation for cancer therapy. Trends Cancer. 2019;5:460–3. doi: 10.1016/j.trecan.2019.05.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Huinen ZR, Huijbers EJM, van Beijnum JR, Nowak-Sliwinska P, Griffioen AW. Anti-angiogenic agents - overcoming tumour endothelial cell anergy and improving immunotherapy outcomes. Nat Rev Clin Oncol. 2021;18:527–40. doi: 10.1038/s41571-021-00496-y. [DOI] [PubMed] [Google Scholar]
  • 58.Liu T, Ma W, Xu H. et al. PDGF-mediated mesenchymal transformation renders endothelial resistance to anti-VEGF treatment in glioblastoma. Nat Commun. 2018;9:3439. doi: 10.1038/s41467-018-05982-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Wang Q, He Z, Huang M. et al. Vascular niche IL-6 induces alternative macrophage activation in glioblastoma through HIF-2α. Nat Commun. 2018;9:559. doi: 10.1038/s41467-018-03050-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Mulligan JK, Young MRI. Tumors induce the formation of suppressor endothelial cells in vivo. Cancer Immunol Immunother. 2010;59:267–77. doi: 10.1007/s00262-009-0747-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Cho Y, Doh J. The extracellular matrix in solid tumor immunotherapy. Trends Immunol. 2024;45:705–14. doi: 10.1016/j.it.2024.07.009. [DOI] [PubMed] [Google Scholar]
  • 62.Wolf K, Müller R, Borgmann S, Bröcker E-B, Friedl P. Amoeboid shape change and contact guidance: T-lymphocyte crawling through fibrillar collagen is independent of matrix remodeling by MMPs and other proteases. Blood. 2003;102:3262–9. doi: 10.1182/blood-2002-12-3791. [DOI] [PubMed] [Google Scholar]
  • 63.Lamplugh ZL, Wellhausen N, June CH, Fan Y. Microenvironmental regulation of solid tumour resistance to CAR T cell therapy. Nat Rev Immunol. 2025 doi: 10.1038/s41577-025-01229-3. [Epub ahead of print] [DOI] [PubMed] [Google Scholar]
  • 64.Salmon H, Franciszkiewicz K, Damotte D. et al. Matrix architecture defines the preferential localization and migration of T cells into the stroma of human lung tumors. J Clin Invest. 2012;122:899–910. doi: 10.1172/JCI45817. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Johnston RJ, Su LJ, Pinckney J. et al. VISTA is an acidic pH-selective ligand for PSGL-1. Nature. 2019;574:565–70. doi: 10.1038/s41586-019-1674-5. [DOI] [PubMed] [Google Scholar]
  • 66.He H, Zhang S, Tighe S, Son J, Tseng SCG. Immobilized heavy chain-hyaluronic acid polarizes lipopolysaccharide-activated macrophages toward M2 phenotype. J Biol Chem. 2013;288:25792–803. doi: 10.1074/jbc.M113.479584. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Larsen AMH, Kuczek DE, Kalvisa A. et al. Collagen density modulates the immunosuppressive functions of macrophages. J Immunol. 2020;205:1461–72. doi: 10.4049/jimmunol.1900789. [DOI] [PubMed] [Google Scholar]
  • 68.Huang Y, Yuan J, Righi E. et al. Vascular normalizing doses of antiangiogenic treatment reprogram the immunosuppressive tumor microenvironment and enhance immunotherapy. Proc Natl Acad Sci U S A. 2012;109:17561–6. doi: 10.1073/pnas.1215397109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.Dong X, Ren J, Amoozgar Z. et al. Anti-VEGF therapy improves EGFR-vIII-CAR-T cell delivery and efficacy in syngeneic glioblastoma models in mice. J Immunother Cancer. 2023;11:e005583. doi: 10.1136/jitc-2022-005583. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 70.Zheng R, Shen K, Liang S. et al. Specific ECM degradation potentiates the antitumor activity of CAR-T cells in solid tumors. Cell Mol Immunol. 2024;21:1491–504. doi: 10.1038/s41423-024-01228-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Kozono S, Ohuchida K, Eguchi D. et al. Pirfenidone inhibits pancreatic cancer desmoplasia by regulating stellate cells. Cancer Res. 2013;73:2345–56. doi: 10.1158/0008-5472.CAN-12-3180. [DOI] [PubMed] [Google Scholar]
  • 72.Liu G, Rui W, Zhao X, Lin X. Enhancing CAR-T cell efficacy in solid tumors by targeting the tumor microenvironment. Cell Mol Immunol. 2021;18:1085–95. doi: 10.1038/s41423-021-00655-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Madissoon E, Oliver AJ, Kleshchevnikov V. et al. A spatially resolved atlas of the human lung characterizes a gland-associated immune niche. Nat Genet. 2023;55:66–77. doi: 10.1038/s41588-022-01243-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Enfield KSS, Colliver E, Lee C. et al. Spatial architecture of myeloid and T cells orchestrates immune evasion and clinical outcome in lung cancer. Cancer Discov. 2024;14:1018–47. doi: 10.1158/2159-8290.CD-23-1380. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.Grout JA, Sirven P, Leader AM. et al. Spatial positioning and matrix programs of cancer-associated fibroblasts promote T-cell exclusion in human lung tumors. Cancer Discov. 2022;12:2606–25. doi: 10.1158/2159-8290.CD-21-1714. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Broz MT, Ko EY, Ishaya K. et al. Metabolic targeting of cancer associated fibroblasts overcomes T-cell exclusion and chemoresistance in soft-tissue sarcomas. Nat Commun. 2024;15:2498. doi: 10.1038/s41467-024-46504-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Barrett RL, Puré E. Cancer-associated fibroblasts and their influence on tumor immunity and immunotherapy. Elife. 2020;9:e57243. doi: 10.7554/eLife.57243. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Cao B, Liu M, Wang L. et al. Remodelling of tumour microenvironment by microwave ablation potentiates immunotherapy of AXL-specific CAR T cells against non-small cell lung cancer. Nat Commun. 2022;13:6203. doi: 10.1038/s41467-022-33968-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Zhu L, Liu J, Zhou G. et al. Remodeling of tumor microenvironment by tumor-targeting nanozymes enhances immune activation of CAR T cells for combination therapy. Small. 2021;17:e2102624. doi: 10.1002/smll.202102624. [DOI] [PubMed] [Google Scholar]
  • 80.Qin VM, Haynes NM, D'Souza C, Neeson PJ, Zhu JJ. CAR-T plus radiotherapy: A promising combination for immunosuppressive tumors. Front Immunol. 2021;12:813832. doi: 10.3389/fimmu.2021.813832. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Wang AX, Ong XJ, D'Souza C, Neeson PJ, Zhu JJ. Combining chemotherapy with CAR-T cell therapy in treating solid tumors. Front Immunol. 2023;14:1140541. doi: 10.3389/fimmu.2023.1140541. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Ash SL, Orha R, Mole H. et al. Targeting the activated microenvironment with endosialin (CD248)-directed CAR-T cells ablates perivascular cells to impair tumor growth and metastasis. J Immunother Cancer. 2024;12:e008608. doi: 10.1136/jitc-2023-008608. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Cheng K, Cai N, Zhu J, Yang X, Liang H, Zhang W. Tumor-associated macrophages in liver cancer: From mechanisms to therapy. Cancer Commun (Lond) 2022;42:1112–40. doi: 10.1002/cac2.12345. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Togashi Y, Shitara K, Nishikawa H. Regulatory T cells in cancer immunosuppression - implications for anticancer therapy. Nat Rev Clin Oncol. 2019;16:356–71. doi: 10.1038/s41571-019-0175-7. [DOI] [PubMed] [Google Scholar]
  • 85.Lasser SA, Ozbay Kurt FG, Arkhypov I, Utikal J, Umansky V. Myeloid-derived suppressor cells in cancer and cancer therapy. Nat Rev Clin Oncol. 2024;21:147–64. doi: 10.1038/s41571-023-00846-y. [DOI] [PubMed] [Google Scholar]
  • 86.Casey M, Lee C, Kwok WY. et al. Regulatory T cells hamper the efficacy of T-cell-engaging bispecific antibody therapy. Haematologica. 2024;109:787–98. doi: 10.3324/haematol.2023.283758. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Yi M, Li T, Niu M. et al. Targeting cytokine and chemokine signaling pathways for cancer therapy. Signal Transduct Target Ther. 2024;9:176. doi: 10.1038/s41392-024-01868-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Noy R, Pollard JW. Tumor-associated macrophages: From mechanisms to therapy. Immunity. 2014;41:49–61. doi: 10.1016/j.immuni.2014.06.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Marshall LA, Marubayashi S, Jorapur A. et al. Tumors establish resistance to immunotherapy by regulating treg recruitment via CCR4. J Immunother Cancer. 2020;8:e000764. doi: 10.1136/jitc-2020-000764. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Kim N, Kim M-H, Pyo J. et al. CCR8 as a therapeutic novel target: Omics-integrated comprehensive analysis for systematically prioritizing indications. Biomedicines. 2023;11:2910. doi: 10.3390/biomedicines11112910. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Zammarchi F, Havenith K, Bertelli F, Vijayakrishnan B, Chivers S, van Berkel PH. CD25-targeted antibody-drug conjugate depletes regulatory T cells and eliminates established syngeneic tumors via antitumor immunity. J Immunother Cancer. 2020;8:e000860. doi: 10.1136/jitc-2020-000860. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 92.Arce Vargas F, Furness AJS, Solomon I. et al. Fc-optimized anti-CD25 depletes tumor-infiltrating regulatory T cells and synergizes with PD-1 blockade to eradicate established tumors. Immunity. 2017;46:577–86. doi: 10.1016/j.immuni.2017.03.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Selby MJ, Engelhardt JJ, Quigley M. et al. Anti-CTLA-4 antibodies of IgG2a isotype enhance antitumor activity through reduction of intratumoral regulatory T cells. Cancer Immunol Res. 2013;1:32–42. doi: 10.1158/2326-6066.CIR-13-0013. [DOI] [PubMed] [Google Scholar]
  • 94.Kofler DM, Chmielewski M, Rappl G. et al. CD28 costimulation impairs the efficacy of a redirected t-cell antitumor attack in the presence of regulatory t cells which can be overcome by preventing lck activation. Mol Ther. 2011;19:760–7. doi: 10.1038/mt.2011.9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 95.Golumba-Nagy V, Kuehle J, Hombach AA, Abken H. CD28-ζ CAR T cells resist TGF-β repression through IL-2 signaling, which can be mimicked by an engineered IL-7 autocrine loop. Mol Ther. 2018;26:2218–30. doi: 10.1016/j.ymthe.2018.07.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Manrique-Rincón AJ, Ruas LP, Fogagnolo CT. et al. Aptamer-mediated transcriptional gene silencing of fox p 3 inhibits regulatory T cells and potentiates antitumor response. Mol Ther Nucleic Acids. 2021;25:143–51. doi: 10.1016/j.omtn.2021.05.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Bullock K, Richmond A. Suppressing MDSC recruitment to the tumor microenvironment by antagonizing CXCR2 to enhance the efficacy of immunotherapy. Cancers (Basel) 2021;13:6293. doi: 10.3390/cancers13246293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Flores-Toro JA, Luo D, Gopinath A. et al. CCR2 inhibition reduces tumor myeloid cells and unmasks a checkpoint inhibitor effect to slow progression of resistant murine gliomas. Proc Natl Acad Sci U S A. 2020;117:1129–38. doi: 10.1073/pnas.1910856117. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Yang L, Wang B, Qin J, Zhou H, Majumdar APN, Peng F. Blockade of CCR5-mediated myeloid derived suppressor cell accumulation enhances anti-PD1 efficacy in gastric cancer. Immunopharmacol Immunotoxicol. 2018;40:91–7. doi: 10.1080/08923973.2017.1417997. [DOI] [PubMed] [Google Scholar]
  • 100.Xiao Z, Todd L, Huang L. et al. Desmoplastic stroma restricts T cell extravasation and mediates immune exclusion and immunosuppression in solid tumors. Nat Commun. 2023;14:5110. doi: 10.1038/s41467-023-40850-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 101.Lu Z, Zou J, Li S. et al. Epigenetic therapy inhibits metastases by disrupting premetastatic niches. Nature. 2020;579:284–90. doi: 10.1038/s41586-020-2054-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Walsh JE, Clark A-M, Day TA, Gillespie MB, Young MRI. Use of alpha,25-dihydroxyvitamin D3 treatment to stimulate immune infiltration into head and neck squamous cell carcinoma. Hum Immunol. 2010;71:659–65. doi: 10.1016/j.humimm.2010.04.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Fultang L, Panetti S, Ng M. et al. MDSC targeting with gemtuzumab ozogamicin restores T cell immunity and immunotherapy against cancers. EBioMedicine. 2019;47:235–46. doi: 10.1016/j.ebiom.2019.08.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Dominguez GA, Condamine T, Mony S. et al. Selective targeting of myeloid-derived suppressor cells in cancer patients using DS-8273a, an agonistic TRAIL-R2 antibody. Clin Cancer Res. 2017;23:2942–50. doi: 10.1158/1078-0432.CCR-16-1784. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Li H, Ding J, Lu M. et al. CAIX-specific CAR-T cells and sunitinib show synergistic effects against metastatic renal cancer models. J Immunother. 2020;43:16–28. doi: 10.1097/CJI.0000000000000301. [DOI] [PubMed] [Google Scholar]
  • 106.Lu M, Zhang X, Gao X. et al. Lenvatinib enhances T cell immunity and the efficacy of adoptive chimeric antigen receptor-modified T cells by decreasing myeloid-derived suppressor cells in cancer. Pharmacol Res. 2021;174:105829. doi: 10.1016/j.phrs.2021.105829. [DOI] [PubMed] [Google Scholar]
  • 107.Nefedova Y, Fishman M, Sherman S, Wang X, Beg AA, Gabrilovich DI. Mechanism of all-trans retinoic acid effect on tumor-associated myeloid-derived suppressor cells. Cancer Res. 2007;67:11021–8. doi: 10.1158/0008-5472.CAN-07-2593. [DOI] [PubMed] [Google Scholar]
  • 108.Serafini P, Meckel K, Kelso M. et al. Phosphodiesterase-5 inhibition augments endogenous antitumor immunity by reducing myeloid-derived suppressor cell function. J Exp Med. 2006;203:2691–702. doi: 10.1084/jem.20061104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Nagaraj S, Youn J-I, Weber H. et al. Anti-inflammatory triterpenoid blocks immune suppressive function of MDSCs and improves immune response in cancer. Clin Cancer Res. 2010;16:1812–23. doi: 10.1158/1078-0432.CCR-09-3272. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Hossain F, Al-Khami AA, Wyczechowska D. et al. Inhibition of fatty acid oxidation modulates immunosuppressive functions of myeloid-derived suppressor cells and enhances cancer therapies. Cancer Immunol Res. 2015;3:1236–47. doi: 10.1158/2326-6066.CIR-15-0036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Veglia F, Tyurin VA, Blasi M. et al. Fatty acid transport protein 2 reprograms neutrophils in cancer. Nature. 2019;569:73–8. doi: 10.1038/s41586-019-1118-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Li X, Yao W, Yuan Y. et al. Targeting of tumour-infiltrating macrophages via CCL2/CCR2 signalling as a therapeutic strategy against hepatocellular carcinoma. Gut. 2017;66:157–67. doi: 10.1136/gutjnl-2015-310514. [DOI] [PubMed] [Google Scholar]
  • 113.Takenaka MC, Gabriely G, Rothhammer V. et al. Control of tumor-associated macrophages and T cells in glioblastoma via AHR and CD39. Nat Neurosci. 2019;22:729–40. doi: 10.1038/s41593-019-0370-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Pyonteck SM, Akkari L, Schuhmacher AJ. et al. CSF-1R inhibition alters macrophage polarization and blocks glioma progression. Nat Med. 2013;19:1264–72. doi: 10.1038/nm.3337. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 115.Rodriguez-Garcia A, Lynn RC, Poussin M. et al. CAR-T cell-mediated depletion of immunosuppressive tumor-associated macrophages promotes endogenous antitumor immunity and augments adoptive immunotherapy. Nat Commun. 2021;12:877. doi: 10.1038/s41467-021-20893-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 116.Scott EM, Jacobus EJ, Lyons B. et al. Bi- and tri-valent T cell engagers deplete tumour-associated macrophages in cancer patient samples. J Immunother Cancer. 2019;7:320. doi: 10.1186/s40425-019-0807-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 117.Stromnes IM, Burrack AL, Hulbert A. et al. Differential effects of depleting versus programming tumor-associated macrophages on engineered T cells in pancreatic ductal adenocarcinoma. Cancer Immunol Res. 2019;7:977–89. doi: 10.1158/2326-6066.CIR-18-0448. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 118.Yamada-Hunter SA, Theruvath J, McIntosh BJ. et al. Engineered CD47 protects T cells for enhanced antitumour immunity. Nature. 2024;630:457–65. doi: 10.1038/s41586-024-07443-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 119.Rodell CB, Arlauckas SP, Cuccarese MF. et al. TLR7/8-agonist-loaded nanoparticles promote the polarization of tumour-associated macrophages to enhance cancer immunotherapy. Nat Biomed Eng. 2018;2:578–88. doi: 10.1038/s41551-018-0236-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Duell J, Dittrich M, Bedke T. et al. Frequency of regulatory T cells determines the outcome of the T-cell-engaging antibody blinatumomab in patients with B-precursor ALL. Leukemia. 2017;31:2181–90. doi: 10.1038/leu.2017.41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Gambichler T, Schröter U, Höxtermann S, Susok L, Stockfleth E, Becker JC. Decline of programmed death-1-positive circulating T regulatory cells predicts more favourable clinical outcome of patients with melanoma under immune checkpoint blockade. Br J Dermatol. 2020;182:1214–20. doi: 10.1111/bjd.18379. [DOI] [PubMed] [Google Scholar]
  • 122.Scholler N, Perbost R, Locke FL. et al. Tumor immune contexture is a determinant of anti-CD19 CAR T cell efficacy in large B cell lymphoma. Nat Med. 2022;28:1872–82. doi: 10.1038/s41591-022-01916-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 123.Good Z, Spiegel JY, Sahaf B. et al. Post-infusion CAR TReg cells identify patients resistant to CD19-CAR therapy. Nat Med. 2022;28:1860–71. doi: 10.1038/s41591-022-01960-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 124.Haradhvala NJ, Leick MB, Maurer K. et al. Distinct cellular dynamics associated with response to CAR-T therapy for refractory B cell lymphoma. Nat Med. 2022;28:1848–59. doi: 10.1038/s41591-022-01959-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 125.Cinier J, Hubert M, Besson L. et al. Recruitment and expansion of tregs cells in the tumor environment-how to target them? Cancers (Basel) 2021;13:1850. doi: 10.3390/cancers13081850. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Li C, Jiang P, Wei S, Xu X, Wang J. Regulatory T cells in tumor microenvironment: New mechanisms, potential therapeutic strategies and future prospects. Mol Cancer. 2020;19:116. doi: 10.1186/s12943-020-01234-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 127.Pezzella M, Quintarelli C, Quadraccia MC. et al. Tumor-derived G-CSF induces an immunosuppressive microenvironment in an osteosarcoma model, reducing response to CAR.GD2 T-cells. J Hematol Oncol. 2024;17:127. doi: 10.1186/s13045-024-01641-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 128.Zhu J, Zhou J, Liang X. et al. Elevated CD10- neutrophils correlate with non-response and poor prognosis of CD19 CAR T-cell therapy for B-cell acute lymphoblastic leukemia. BMC Med. 2025;23:138. doi: 10.1186/s12916-025-03968-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 129.Veglia F, Sanseviero E, Gabrilovich DI. Myeloid-derived suppressor cells in the era of increasing myeloid cell diversity. Nat Rev Immunol. 2021;21:485–98. doi: 10.1038/s41577-020-00490-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 130.Li K, Shi H, Zhang B. et al. Myeloid-derived suppressor cells as immunosuppressive regulators and therapeutic targets in cancer. Signal Transduct Target Ther. 2021;6:362. doi: 10.1038/s41392-021-00670-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 131.Zhang B, Hu M, Ma Q. et al. Optimized CAR-T therapy based on spatiotemporal changes and chemotactic mechanisms of MDSCs induced by hypofractionated radiotherapy. Mol Ther. 2023;31:2105–19. doi: 10.1016/j.ymthe.2023.04.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 132.Sun R, Luo H, Su J. et al. Olaparib suppresses MDSC recruitment via SDF1α/CXCR4 axis to improve the anti-tumor efficacy of CAR-T cells on breast cancer in mice. Mol Ther. 2021;29:60–74. doi: 10.1016/j.ymthe.2020.09.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 133.Brancewicz J, Kucharzewska P. Emerging macrophage-based therapies for cancer: A review of preclinical and clinical advances. Front Immunol. 2025;16:1679271. doi: 10.3389/fimmu.2025.1679271. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 134.Kloosterman DJ, Akkari L. Macrophages at the interface of the co-evolving cancer ecosystem. Cell. 2023;186:1627–51. doi: 10.1016/j.cell.2023.02.020. [DOI] [PubMed] [Google Scholar]
  • 135.Beatty GL, Chiorean EG, Fishman MP. et al. CD40 agonists alter tumor stroma and show efficacy against pancreatic carcinoma in mice and humans. Science. 2011;331:1612–6. doi: 10.1126/science.1198443. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 136.Quail DF, Bowman RL, Akkari L. et al. The tumor microenvironment underlies acquired resistance to CSF-1R inhibition in gliomas. Science. 2016;352:aad3018. doi: 10.1126/science.aad3018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 137.Poh AR, Love CG, Chisanga D. et al. Therapeutic inhibition of the SRC-kinase HCK facilitates T cell tumor infiltration and improves response to immunotherapy. Sci Adv. 2022;8:eabl7882. doi: 10.1126/sciadv.abl7882. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 138.Kim EY, Cha YJ, Lee SH. et al. Early lung carcinogenesis and tumor microenvironment observed by single-cell transcriptome analysis. Transl Oncol. 2022;15:101277. doi: 10.1016/j.tranon.2021.101277. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 139.Bergerud KMB, Berkseth M, Pardoll DM. et al. Radiation therapy and myeloid-derived suppressor cells: Breaking down their cancerous partnership. Int J Radiat Oncol Biol Phys. 2024;119:42–55. doi: 10.1016/j.ijrobp.2023.11.050. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 140.Guo S, Yao Y, Tang Y. et al. Radiation-induced tumor immune microenvironments and potential targets for combination therapy. Signal Transduct Target Ther. 2023;8:205. doi: 10.1038/s41392-023-01462-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 141.Mateus-Tique J, Lakshmi A, Singh B. et al. Armored macrophage-targeted CAR-T cells reset and reprogram the tumor microenvironment and control metastatic cancer growth. Cancer Cell. 2026;44:534–550.e11. doi: 10.1016/j.ccell.2025.12.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 142.Chen Y, Li H, Fan Y. Shaping the tumor immune microenvironment of SCLC: Mechanisms, and opportunities for immunotherapy. Cancer Treat Rev. 2023;120:102606. doi: 10.1016/j.ctrv.2023.102606. [DOI] [PubMed] [Google Scholar]
  • 143.Zheng W, Zhu T, Tang L, Li Z, Jiang G, Huang X. Inhalable CAR-T cell-derived exosomes as paclitaxel carriers for treating lung cancer. J Transl Med. 2023;21:383. doi: 10.1186/s12967-023-04206-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 144.Zhu T, Xiao Y, Chen Z. et al. Inhalable nanovesicles loaded with a STING agonist enhance CAR-T cell activity against solid tumors in the lung. Nat Commun. 2025;16:262. doi: 10.1038/s41467-024-55751-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 145.Domvri K, Petanidis S, Anestakis D. et al. Dual photothermal MDSCs-targeted immunotherapy inhibits lung immunosuppressive metastasis by enhancing T-cell recruitment. Nanoscale. 2020;12:7051–62. doi: 10.1039/d0nr00080a. [DOI] [PubMed] [Google Scholar]
  • 146.McKenna MK, Englisch A, Brenner B. et al. Mesenchymal stromal cell delivery of oncolytic immunotherapy improves CAR-T cell antitumor activity. Mol Ther. 2021;29:1808–20. doi: 10.1016/j.ymthe.2021.02.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 147.Tie Y, Tang F, Wei Y-Q, Wei X-W. Immunosuppressive cells in cancer: Mechanisms and potential therapeutic targets. J Hematol Oncol. 2022;15:61. doi: 10.1186/s13045-022-01282-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 148.Adams SC, Nambiar AK, Bressler EM. et al. Immunotherapies for locally aggressive cancers. Adv Drug Deliv Rev. 2024;210:115331. doi: 10.1016/j.addr.2024.115331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 149.Pardoll DM. The blockade of immune checkpoints in cancer immunotherapy. Nat Rev Cancer. 2012;12:252–64. doi: 10.1038/nrc3239. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 150.Parry RV, Chemnitz JM, Frauwirth KA. et al. CTLA-4 and PD-1 receptors inhibit T-cell activation by distinct mechanisms. Mol Cell Biol. 2005;25:9543–53. doi: 10.1128/MCB.25.21.9543-9553.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 151.Blank CU, Enk A. Therapeutic use of anti-CTLA-4 antibodies. Int Immunol. 2015;27:3–10. doi: 10.1093/intimm/dxu076. [DOI] [PubMed] [Google Scholar]
  • 152.Peng D, Kryczek I, Nagarsheth N. et al. Epigenetic silencing of TH1-type chemokines shapes tumour immunity and immunotherapy. Nature. 2015;527:249–53. doi: 10.1038/nature15520. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 153.Chow MT, Ozga AJ, Servis RL. et al. Intratumoral activity of the CXCR3 chemokine system is required for the efficacy of anti-PD-1 therapy. Immunity. 2019;50:1498–1512.e5. doi: 10.1016/j.immuni.2019.04.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 154.Shields JD, Kourtis IC, Tomei AA, Roberts JM, Swartz MA. Induction of lymphoidlike stroma and immune escape by tumors that express the chemokine CCL21. Science. 2010;328:749–52. doi: 10.1126/science.1185837. [DOI] [PubMed] [Google Scholar]
  • 155.Pivarcsi A, Müller A, Hippe A. et al. Tumor immune escape by the loss of homeostatic chemokine expression. Proc Natl Acad Sci U S A. 2007;104:19055–60. doi: 10.1073/pnas.0705673104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 156.Facciabene A, Peng X, Hagemann IS. et al. Tumour hypoxia promotes tolerance and angiogenesis via CCL28 and T(reg) cells. Nature. 2011;475:226–30. doi: 10.1038/nature10169. [DOI] [PubMed] [Google Scholar]
  • 157.Chang C-H, Qiu J, O'Sullivan D. et al. Metabolic competition in the tumor microenvironment is a driver of cancer progression. Cell. 2015;162:1229–41. doi: 10.1016/j.cell.2015.08.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 158.Rial Saborido J, Völkl S, Aigner M, Mackensen A, Mougiakakos D. Role of CAR T cell metabolism for therapeutic efficacy. Cancers (Basel) 2022;14:5442. doi: 10.3390/cancers14215442. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 159.Messai Y, Gad S, Noman MZ. et al. Renal cell carcinoma programmed death-ligand 1, a new direct target of hypoxia-inducible factor-2 alpha, is regulated by von hippel-lindau gene mutation status. Eur Urol. 2016;70:623–32. doi: 10.1016/j.eururo.2015.11.029. [DOI] [PubMed] [Google Scholar]
  • 160.Deng J, Li J, Sarde A. et al. Hypoxia-induced VISTA promotes the suppressive function of myeloid-derived suppressor cells in the tumor microenvironment. Cancer Immunol Res. 2019;7:1079–90. doi: 10.1158/2326-6066.CIR-18-0507. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 161.Zhang H, Lu H, Xiang L. et al. HIF-1 regulates CD47 expression in breast cancer cells to promote evasion of phagocytosis and maintenance of cancer stem cells. Proc Natl Acad Sci U S A. 2015;112:E6215–6223. doi: 10.1073/pnas.1520032112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 162.Lacher SB, Dörr J, de Almeida GP. et al. PGE2 limits effector expansion of tumour-infiltrating stem-like CD8+ T cells. Nature. 2024;629:417–25. doi: 10.1038/s41586-024-07254-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 163.Ohl K, Tenbrock K. Reactive oxygen species as regulators of MDSC-mediated immune suppression. Front Immunol. 2018;9:2499. doi: 10.3389/fimmu.2018.02499. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 164.Wei SC, Duffy CR, Allison JP. Fundamental mechanisms of immune checkpoint blockade therapy. Cancer Discov. 2018;8:1069–86. doi: 10.1158/2159-8290.CD-18-0367. [DOI] [PubMed] [Google Scholar]
  • 165.Lyssiotis CA, Kimmelman AC. Metabolic interactions in the tumor microenvironment. Trends Cell Biol. 2017;27:863–75. doi: 10.1016/j.tcb.2017.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 166.Olivares-Hernández A, González Del Portillo E, Tamayo-Velasco Á. et al. Immune checkpoint inhibitors in non-small cell lung cancer: From current perspectives to future treatments-a systematic review. Ann Transl Med. 2023;11:354. doi: 10.21037/atm-22-4218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 167.Hu X, Ge C, Huang C. et al. Enhanced homing and efficacy of HER2-CAR T cells via CXCR5/CCR6 co-expression for HER2-positive NSCLC. J Transl Med. 2025;23:863. doi: 10.1186/s12967-025-06866-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 168.Sasaki T, Sakoda Y, Adachi K, Tokunaga Y, Tamada K. Therapeutic effects of anti-GM2 CAR-T cells expressing IL-7 and CCL19 for GM2-positive solid cancer in xenograft model. Cancer Med. 2023;12:12569–80. doi: 10.1002/cam4.5907. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 169.Lim RJ, Salehi-Rad R, Tran LM. et al. CXCL9/10-engineered dendritic cells promote T cell activation and enhance immune checkpoint blockade for lung cancer. Cell Rep Med. 2024;5:101479. doi: 10.1016/j.xcrm.2024.101479. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 170.Giuffrida L, Sek K, Henderson MA. et al. CRISPR/Cas9 mediated deletion of the adenosine A2A receptor enhances CAR T cell efficacy. Nat Commun. 2021;12:3236. doi: 10.1038/s41467-021-23331-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 171.Zhang M, Jin X, Sun R. et al. Optimization of metabolism to improve efficacy during CAR-T cell manufacturing. J Transl Med. 2021;19:499. doi: 10.1186/s12967-021-03165-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 172.Wang S-Y, Scurti GM, Dalheim AV, Quinn S, Stiff PJ, Nishimura MI. Nonactivated and IL-7 cultured CD19-specific CAR T cells are enriched in stem cell phenotypes and functionally superior. Blood Adv. 2024;8:324–35. doi: 10.1182/bloodadvances.2023010607. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 173.Du L, Nai Y, Shen M. et al. IL-21 optimizes the CAR-T cell preparation through improving lentivirus mediated transfection efficiency of T cells and enhancing CAR-T cell cytotoxic activities. Front Mol Biosci. 2021;8:675179. doi: 10.3389/fmolb.2021.675179. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 174.Luu M, Riester Z, Baldrich A. et al. Microbial short-chain fatty acids modulate CD8+ T cell responses and improve adoptive immunotherapy for cancer. Nat Commun. 2021;12:4077. doi: 10.1038/s41467-021-24331-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 175.Wenes M, Jaccard A, Wyss T. et al. The mitochondrial pyruvate carrier regulates memory T cell differentiation and antitumor function. Cell Metab. 2022;34:731–746.e9. doi: 10.1016/j.cmet.2022.03.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 176.Zhao Y, Chen J, Andreatta M. et al. IL-10-expressing CAR T cells resist dysfunction and mediate durable clearance of solid tumors and metastases. Nat Biotechnol. 2024;42:1693–704. doi: 10.1038/s41587-023-02060-8. [DOI] [PubMed] [Google Scholar]
  • 177.Chen Q, Sun J, Ling S. et al. Tumor microenvironment-responsive nano-immunomodulators for enhancing chimeric antigen receptor-T cell therapy in lung cancer. ACS Nano. 2025;19:8212–26. doi: 10.1021/acsnano.4c17899. [DOI] [PubMed] [Google Scholar]
  • 178.Li X, Zhu T, Wang R. et al. Genetically programmable vesicles for enhancing CAR-T therapy against solid tumors. Adv Mater. 2023;35:e2211138. doi: 10.1002/adma.202211138. [DOI] [PubMed] [Google Scholar]
  • 179.Zhu X, Chen J, Li W. et al. Hypoxia-responsive CAR-T cells exhibit reduced exhaustion and enhanced efficacy in solid tumors. Cancer Res. 2024;84:84–100. doi: 10.1158/0008-5472.CAN-23-1038. [DOI] [PubMed] [Google Scholar]
  • 180.Hu W, Li F, Liang Y. et al. Glut3 overexpression improves environmental glucose uptake and antitumor efficacy of CAR-T cells in solid tumors. J Immunother Cancer. 2025;13:e010540. doi: 10.1136/jitc-2024-010540. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 181.Wu W, Li H, Chen W. et al. CAR T cell membrane camouflaged nanocatalyst augments CAR T cell therapy efficacy against solid tumor. Small. 2024;20:e2401299. doi: 10.1002/smll.202401299. [DOI] [PubMed] [Google Scholar]
  • 182.Fang L, Yuan S, Wang M. et al. Recombinant oncolytic adenovirus armed with CCL5, IL-12, and IFN-γ promotes CAR-T infiltration and proliferation in vivo to eradicate local and distal tumors. Cell Death Discov. 2023;9:328. doi: 10.1038/s41420-023-01626-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 183.Mahadevan NR, Knelson EH, Wolff JO. et al. Intrinsic immunogenicity of small cell lung carcinoma revealed by its cellular plasticity. Cancer Discov. 2021;11:1952–69. doi: 10.1158/2159-8290.CD-20-0913. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 184.Mackensen A, Haanen JBAG, Koenecke C. et al. CLDN6-specific CAR-T cells plus amplifying RNA vaccine in relapsed or refractory solid tumors: The phase 1 BNT211-01 trial. Nat Med. 2023;29:2844–53. doi: 10.1038/s41591-023-02612-0. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from International Journal of Biological Sciences are provided here courtesy of Ivyspring International Publisher

RESOURCES