Abstract
Chimeric antigen receptor T-cell (CAR-T) therapy has revolutionized the treatment of hematologic malignancies, offering a highly personalized and potent immunotherapeutic approach. To date, the U.S. Food and Drug Administration has approved seven CAR-T therapies targeting CD19 and B-cell maturation antigen; each demonstrated remarkable clinical efficacy across various hematologic malignancies. Despite significant advancements in preclinical studies and clinical trials, no CAR-T therapy has been approved for solid tumors, which account for the majority of cancer cases worldwide. These key challenges include the lack of distinct and accessible target antigens, the immunosuppressive tumor microenvironment (TME) that impairs immune cell efficacy, the heterogeneity of solid tumors that complicates treatment uniformity, and the potential risks of off-tumor toxicity. These obstacles represent a complex array of biological and clinical obstacles, distinct from the more favorable immune environment of hematologic cancers that has been pivotal to the success of CAR-T therapy. Preclinical studies in multiple myeloma emphasize memory T-cell optimization and combinatorial strategies to enhance CAR-T efficacy in solid tumors. Our review emphasizes innovative strategies to address these key challenges in CAR-T therapy for solid tumors, including advanced multi-antigen targeting approaches, reprogramming of the TME, and the development of next-generation safety measures to mitigate toxicity risks. By addressing both scientific and clinical obstacles, this review envisions a future in which CAR-T therapy’s full potential extends beyond hematologic malignancies, transforming the landscape of oncology and improving outcomes for patients with solid tumors.
Introduction
The advent of chimeric antigen receptor (CAR)-T cell therapy represented a transformative advancement in cancer treatment, offering renewed hope to patients with previously untreatable hematologic malignancies [1, 2]. Unlike conventional modalities that non-selectively target malignant and healthy cells, such as chemotherapy and radiation, CAR-T therapy enables a highly specific and personalized approach to tumor eradication [3]. Since the U.S. Food and Drug Administration (FDA) approved tisagenlecleucel (Kymriah®) in 2017 for the treatment of B-cell acute lymphoblastic leukemia (B-ALL) [4], a total of seven CAR-T products—each targeting hematologic malignancies—have received FDA approval. These therapies have demonstrated remarkable clinical outcomes, including remission rates exceeding 80% in some cases. These therapies have provided life-saving treatment options for patients with relapsed or refractory (RR) leukemias, lymphomas, and multiple myeloma (MM) [4]. The clinical success of CAR-T therapy in hematologic malignancies is attributed to the presence of well-characterized tumor-associated antigens (TAAs), such as CD19, CD20, CD22, and B-cell maturation antigen (BCMA), which are abundantly expressed on malignant cells and are readily accessible within hematologic, bone marrow, and lymphoid compartments. These anatomical niches present minimal physical or immunological barriers, facilitating efficient CAR-T cell trafficking, antigen engagement, and cytolytic activity. Moreover, the depletion of normal cells expressing the targeted antigen (B cells in CD19-directed therapies) can be clinically managed, as demonstrated by the use of immunoglobulin replacement therapy to address B-cell aplasia [5]. In contrast, CAR-T therapy for solid tumors remains a significant challenge. Despite extensive preclinical studies and numerous clinical trials targeting antigens, such as human epidermal growth factor receptor 2 (HER2), epidermal growth factor receptor (EGFR), and mesothelin, no CAR-T product for solid tumors has received regulatory approval to date, emphasizing the complex interplay of tumor biology and immune evasion mechanisms [3, 6]. However, recent clinical advances offer ground for optimism. For instance, ganglioside GD2 (GD2)/B7-H3 dual-targeted CAR-T therapy in diffuse midline gliomas (DMG) extended median survival to 19.8 months [7]; Claudin (CLDN)18.2-targeted satricabtagene autoleucel significantly improved progression-free survival (3.25 vs. 1.77 months) and overall survival (OS) in a recent phase 2 trial [8, 9]; and dual-target strategies have induced tumor regression in most glioblastoma patients [10, 11]. Building on these evolving insights, our group’s preclinical studies in MM (Sect. "Memory CAR-T cells: The next frontier") explore strategies for memory T-cell optimization and tumor microenvironment (TME) reprogramming, with potential translational relevance for solid tumors. However, the pronounced heterogeneity of solid tumors—reflected in antigen escape rates exceeding 30% compared to 5–10% in MM—necessitates adaptative and multifaceted therapeutic strategies [12].
This review delineates the key factors underlying the limited efficacy of CAR-T cell therapy in solid tumors, such as the immunosuppressive TME and the risk of off-tumor toxicities (Sect. "Challenges in applying CAR-T to solid tumors"). In addition, it emphasizes emerging therapeutic innovations designed to address these challenges (Fig. 1). Collectively, this review offers a comprehensive and forward-looking overview of the current landscape and future directions of CAR-T cell strategies for solid malignancies.
Fig. 1.
Roadmap to approval. Timeline depicting key milestones in the development of cell therapies for solid tumors. The sequence begins with the first tumor-infiltrating lymphocyte (TIL) therapy administered for metastatic cancer in 1986. A pivotal advancement occurred in 1993 with the introduction of first-generation chimeric antigen receptors (CARs), signifying the shift from non-genetically modified cell therapies to engineered cellular approaches. Although these early CAR constructs represented a significant technological breakthrough, they were limited by poor persistence and suboptimal clinical efficacy. Over the past decade, CAR-T cell therapies targeting solid tumors have progressed markedly, driven by continuous innovation in CAR design and strategies to address major barriers such as tumor heterogeneity, the immunosuppressive tumor microenvironment (TME), and off-target toxicities
Mechanistic insights from FDA-approved CAR-T cell therapies and implications for solid tumors
CAR-T cell therapy has revolutionized the treatment landscape of hematologic malignancies, offering substantial clinical benefits and advancing the paradigm of personalized medicine. We present a comprehensive overview of CAR-T therapies approved by the FDA, with an emphasis on the critical determinants of their efficacy and durability (Table 1). By critically analyzing key mechanistic and clinical determinants, particularly antigen accessibility, T-cell persistence, and TME interactions, we elucidated the factors limiting the translatability of CAR-T cell successes in hematologic malignancies to solid tumors. This analysis revealed actionable strategies to overcome these barriers, offering a novel framework for advancing CAR-T therapy in solid malignancies.
Table 1.
Comparative analysis of FDA-approved CAR-T therapies for hematologic malignancies and translational implications for solid tumors (as of May 2025)
| Therapy | Target | Indication | Approval year | Efficacy | Antigen escape rate | TME compatibility | Solid tumor applicability | Dosage regimen | Major side effects | Implications for solid tumors |
|---|---|---|---|---|---|---|---|---|---|---|
| Tisagenlecleucel (Kymriah®) | CD19 | B-ALL and DLBCL | 2017 |
Patients: N = 68 ORR: 50% (95% CI 38–62%) CR: 32% PR: 18% |
10–20% (CD19 loss) | High (systemic access) | Limited (heterogeneous antigens) |
For patients ≤ 50 kg: 0.2–5 × 106 CAR-positive viable T cells per kg For patients > 50 kg: 0.1–2.5 × 108 CAR-positive viable T cells (non-weight based) |
CRS, NE, and cytopenias [13, 14] | 4-1BB enhances persistence, critical for TME-challenged solid tumors. Requires TME modulation |
| Axicabtagene Ciloleucel (Yescarta®) | CD19 | R/R LBCL | 2017 |
Patients: N = 101 ORR: 72% CR: 51% (95% CI: 41, 62) |
10–15% | High (lymphoid homing) | Low (T-cell exhaustion risk) | Target dose: 2 × 106 CAR-positive viable T cells per kg body weight (maximum dose: 2 × 108) | CRS, NE, and cytopenias [15, 16] | CD28-driven cytotoxicity suggests rapid effector function, but TME barriers limit applicability |
| Brexucabtagene Autoleucel (Tecartus®) | CD19 | MCL | 2020 |
Patients: N = 60 ORR: 87% (95% CI: 75, 94), CR: 62% (95% CI: 48, 74), ORR: 80% (95% CI: 69, 88) |
10–15% | High (minimal barriers) | Low (stromal barriers) | Target dose: 2 × 106 CAR-positive viable T cells per kg body weight (maximum dose: 2 × 108) | CRS, NE, and Cytopenias [17, 18] | Lymphodepletion enhances expansion, a strategy to explore with TME-modulating agents |
| Lisocabtagene Maraleucel (Breyanzi®) | CD19 | R/R LBCL | 2021 |
Patients: N = 192 ORR: 73% (95% CI: 67, 80), CR: 54% (95% CI: 47, 61) |
10–15% | High (balanced T-cells) | Moderate (safety profile) | 50–110 × 106 CAR-positive viable T cells (consisting of 1:1 CD8 and CD4 components) | CRS, NE, and Cytopenias [19, 20] | Defined CD8:CD4 ratio improves consistency, a model for solid tumor trial designs |
| Idecabtagene Vicleucel (Abecma®) | BCMA | RRMM | 2021 |
Patients: N = 127 ORR: 72% (95% CI: 62%, 81%), CR: 28% (95% CI 19%, 38%) |
5–10% (BCMA loss) | Moderate (bone marrow) | Moderate (multi-epitope potential) | 300–460 × 106 CAR-positive T cells | CRS, NE, and Cytopenias [21, 22] | BCMA specificity emphasizes need for solid tumor antigens with minimal normal tissue expression |
| Ciltacabtagene Autoleucel (Carvykti®) | BCMA | RRMM | 2022 |
Patients: N = 97 ORR: 97.9% (95% CI: 92.7%, 99.7), DOR: 21.8 months (95% CI: 21.8, NE) with a median duration of follow-up of 18 months |
5–10% | Moderate (bone marrow) | High (dual-epitope design) | 0.5–1.0 × 106 CAR-positive viable T cells per kg body weight (maximum dose of 1 × 108 CAR-positive viable T cells per single infusion) | CRS, ICANS, and Cytopenias [25, 26] | Dual-epitope BCMA targeting suggests multi-antigen strategies for heterogeneous solid tumors |
| Obecabtagene Autoleucel (Aucatzyl®) | CD19 | B-ALL | 2024 |
Patients: N = 65 CR: 42% (95% CI: 29%, 54%) The median duration of CR achieved within 3 months was 14.1 months (95% CI: 6.1, not reached) |
10–20% | High (split-dose safety) | Moderate (safety mechanisms) | 410 × 106 CAR-positive viable T to be administered as a split-dose infusion on Day 1 and 10 (± 2 days) | CRS, ICANS, and Cytopenias [27, 28] | Split-dose regimen may reduce toxicity, a strategy to mitigate off-tumor effects in solid tumors |
Critical determinants of CAR-T success in hematologic malignancies
The clinical efficacy of FDA-approved CAR-T therapies is largely attributable to three interrelated factors: uniform antigen expression, a permissive TME, and durable T-cell persistence. Target antigens, such as CD19 and BCMA, are abundantly expressed on malignant cells, with minimal expression on essential healthy tissues—rendering off-target effects manageable (B-cell aplasia managed via immunoglobulin replacement). Moreover, incorporation of costimulatory domains—most commonly 4-1BB or CD28— augments T-cell expansion and persistence, sustaining antitumor activity.
Tisagenlecleucel (Kymriah®): Approved in 2017 for patients aged ≤ 25 years with RR B-ALL and diffuse large B-cell lymphoma (DLBCL); tisagenlecleucel used a 4-1BB costimulatory domain to enhance T-cell persistence. Clinical trials reported an overall response rate (ORR) of 82.5% (95% confidence interval [CI] 70.9–91.0) in B-ALL, with 63% achieving complete remission (CR) and an additional 19% attaining CR with incomplete hematologic recovery [13, 14].
Axicabtagene Ciloleucel (Yescarta®): Approved in 2017 for adult patients with RR large B-cell lymphoma (LBCL) after ≥ 2 lines of therapy, including DLBCL, primary mediastinal LBCL, high-grade BCL, and DLBCL arising from follicular lymphoma; this therapy incorporates a CD28 costimulatory domain to promote rapid T-cell activation. In pivotal clinical trials, axicabtagene ciloleucel demonstrated an ORR of 72% and a CR rate of 51% (95% CI 41–62) [15, 16].
Brexucabtagene Autoleucel (Tecartus®): Approval in 2020 for the treatment of RR mantle cell lymphoma; this therapy is structurally analogous to Yescarta® and targets CD19 with a CD28 costimulatory domain. It achieved an ORR of 87% and a CR rate of 62% following a single infusion [17, 18].
Lisocabtagene Maraleucel (Breyanzi®): Approved in 2021 for adult patients with RR LBCL after ≥ 2 lines of systemic therapy—including DLBCL, high-grade BCL, primary mediastinal LBCL, and follicular lymphoma grade 3B—this product features a defined CD8+/CD4+ T-cell ratio and a 4-1BB costimulatory domain to enhance T-cell expansion and persistence. Clinical trials reported a 73% ORR (95% CI 67–80) and a 54% CR (95% CI 47–61), with a median duration of response (DOR) of 16.7 months (95% CI 5.3–not reached). Among patients who achieved CR, 65% remained in remission ≥ 6 months and 62% for ≥ 9 months [19, 20].
Idecabtagene Vicleucel (Abecma®): Approved in 2021 for RRMM after ≥ 4 prior lines of therapy, including an immunomodulatory agent, a proteasome inhibitor, and an anti-CD38 antibody, Abecma® is the first FDA-approved cell-based gene therapy for MM. This therapy targets BCMA, which is predominantly expressed on malignant plasma cells, enabling selective cytotoxicity while sparing most healthy tissue. In clinical trials, Abecma® demonstrated an ORR of 72% (95% CI 62–81) and a CR rate of 28% (95% CI 19–38), with 65% of CR patients maintaining a durable response for ≥ 12 months [21, 22].
Ciltacabtagene Autoleucel (Carvykti®): Approved in 2022 for adult RRMM patients after ≥ 4 prior lines of therapy, this BCMA-directed CAR-T cell therapy features dual-epitope targeting, a CD8α transmembrane domain, and 4-1BB/CD3ζ intracellular signaling domain to enhance activation and persistence. Clinical trials reported an impressive ORR of 98%, with 78% achieving stringent CR, and a median DOR of 22 months [23–26].
Obecabtagene autoleucel (Aucatzyl®): Approved in 2024 for adult patients with B-ALL, this CD19-directed CAR-T therapy achieved a CR rate of 42% (95% CI 29–54) within 3 months of infusion, with a median DOR of 14.1 months (95% CI 6.1–not reached) [27, 28].
Comparative analysis and lessons for solid tumors
Table 1 presents a comparative analysis of FDA-approved CAR-T therapies, integrating key parameters, such as antigen escape rates, TME compatibility, and translational applicability to solid tumors. First, with respect to antigen selection, the uniform expression of CD19 and BCMA in hematologic malignancies underlies the high efficacy of current CAR-T products, whereas solid tumor antigens, such as EGFR and mesothelin, exhibit significant inter- and intratumoral heterogeneity, resulting in elevated antigen escape rates—from approximately 10–20% in B-ALL to substantially higher levels in aggressive solid tumors like glioblastoma. Regarding costimulatory domains, the 4-1BB domain promotes the development of memory T cells and supports durable responses; however, its effectiveness in solid tumors is limited by the profoundly immunosuppressive TME.
Bridging hematologic success to solid tumor challenges
The selective and consistent expression of CD19 and BCMA minimizes off-target toxicity, a risk further mitigated through clinical interventions, such as immunoglobulin replacement and prophylactic antibiotics [29, 30]. In addition, the systemic dissemination of hematologic malignancies facilitates CAR-T cell trafficking, enabling efficient localization to disease sites. In contrast, solid tumors are defined by antigen scarcity, dense stromal architecture, and immunosuppressive TME [31, 32]. Although FDA-approved CAR-T therapies provide a foundational blueprint for extending this modality to solid tumors, they expose critical barriers—most notably antigen escape and TME suppression (Sect. "Challenges in applying CAR-T to solid tumors"). Bridging these divides will require multifaceted approaches, including memory T-cell engineering, TME remodeling, and integration of safety mechanisms, such as inducible caspase 9 (iCasp9) switches (Sects. "Challenges in applying CAR-T to solid tumors"–"Emerging strategies and future directions"). The remarkable efficacy of CAR-T therapies in hematologic malignancies offers valuable mechanistic insights for overcoming the unique challenges posed by solid tumors, particularly in modulating immunosuppressive environments and enhancing T-cell persistence and function. A detailed translational case study from our group is presented in Sect. "Memory CAR-T cells: The next frontier".
Challenges in applying CAR-T to solid tumors
Limited target antigens
In contrast to hematologic malignancies, in which well-characterized antigens serve as effective targets, solid tumors rarely express truly tumor-specific antigens. Most candidate targets in solid tumors are also expressed to varying degrees in healthy tissues, increasing the risk of on-target, off-tumor toxicity [33]. In addition, even when TAAs are identified, their expression is frequently heterogeneous (Fig. 2A and 2). For instance, only 20–30% of breast cancer patients overexpress HER2, and even within a single tumor, HER2 expression can vary significantly across regions and individual cells [34, 35]. A similar challenge arises with EFGR variant III (EGFRvIII), a target under investigation for glioblastoma therapy. EGFRvIII is expressed in approximately 30% of glioblastoma cases, but is prone to antigenic loss under therapeutic pressure, as tumor cells may downregulate the antigen to evade immune surveillance [36, 37]. This antigenic variability limits the effectiveness of CAR-T cell therapies, as many tumor cells may escape recognition, leading to diminished therapeutic efficacy and an increased risk of relapse. Neoantigens, derived from tumor-specific mutations, present another set of challenges. Although they offer a high degree of specificity, being unique to individual patients and even to distinct tumor subclones, their individualized nature renders them impractical for standardized CAR-T therapy approaches. Personalized targeting of neoantigens requires bespoke therapeutic designs, which are difficult to scale for widespread clinical use [38, 39]. Antigen escape remains a critical obstacle. In B-ALL, CD19-negative relapses occur in 10–20% of patients following CAR-T cell therapy [40]. The issue is further exacerbated in solid tumors, where baseline antigenic heterogeneity is substantially higher, increasing the likelihood of immune evasion [41]. For instance, clinical trials targeting EGFRvIII in glioblastoma demonstrated initial tumor regression; however, recurrence often occurred due to the outgrowth of EGFRvIII-negative clones, emphasizing the difficulty of sustaining durable responses in a dynamic and evolving antigenic environment [42–45]. To date, several promising solid tumor antigens have been identified through preclinical and clinical investigations, including GD2 in neuroblastoma, B7-H3 in pediatric malignancies, and prostate stem cell antigen (PSCA) in prostate cancer. However, each of these targets is associated with distinct limitations that complicate their translation into broadly effective CAR-T therapies [46]. GD2-directed CAR-T cells have demonstrated antitumor activity in neuroblastoma, with early-phase clinical trials reporting tumor regression. However, the low-level expression of GD2 on peripheral nerves presents a significant risk of neurotoxicity, which may manifest as pain or peripheral nerve dysfunction. B7-H3, a broadly expressed antigen across multiple solid tumors, including osteosarcoma and medulloblastoma, offers the advantage of wider applicability. However, heterogeneous expression of B7-H3 within tumors limits the consistency and reliability of therapeutic responses, making effective tumor cell eradication more challenging [46, 47]. Similarly, although PSCA has shown potential as a target in prostate cancer, its expression in normal tissues, such as the bladder and stomach, raises substantial safety concerns. Collectively, these examples illustrate the persistent difficulty in balancing antigen specificity with therapeutic feasibility in the context of solid tumors [48, 49]. A concise, antigen-centric summary of normal-tissue expression, antigen density/heterogeneity, and escape risk for commonly pursued solid-tumor targets is provided in Table 2.
Fig. 2.
Antigen expression profiles. Bar graphs showing transcriptomic expression patterns of commonly targeted tumor-associated antigens (TAAs) across malignant and normal tissues. (A) TAAs, such as B-cell maturation antigen (BCMA), CD19, CD20, CD22, CD38, and CD138, are highly expressed in malignant hematopoietic cells but are present on normal B cells (CD19, CD20, and CD22), plasma cells (BCMA, CD38, and CD138), or other lineage-restricted hematopoietic populations. Notably, some TAAs exhibit low-level or inconsistent expression in non-hematopoietic, non-malignant cells, including human fibroblasts, epithelial cells, melanocytes, embryonic kidney cells, and other tissue-derived normal cell lines, complicating target specificity. However, the hematopoietic lineage-restricted expression allows for manageable off-tumor effects in CAR-T cell therapy; for instance, B-cell aplasia can be clinically managed with adjunctive intravenous immunoglobulin (IVIG). Transcriptomic data were sourced from the Human Protein Atlas (https://www.proteinatlas.org) and are presented as normalized transcripts per million (nTPM). (B) In contrast, TAAs commonly associated with solid tumors—such as human epidermal growth factor receptor 2 (HER2), epidermal growth factor receptor (EGFR), carcinoembryonic antigen (CEA), mucin 1 (MUC1), mesothelin (MSLN), and NY-ESO-1—exhibit broader and more heterogeneous expression across normal solid tissues, often at levels comparable to those in malignant tissues. This widespread expression increases the risk of off-tumor toxicity, posing significant challenges for CAR-T therapy in solid tumors. Transcriptomic data were obtained from the Human Protein Atlas and are presented as nTPM
Table 2.
Innovative strategies to overcome limited target antigen availability in solid tumors
| Approaches | Antigen | Major solid-tumor indications | Normal-tissue expression (risk) | Density/heterogeneity | Antigen loss/escape | Clinical note (1-line) | Key references |
|---|---|---|---|---|---|---|---|
| Emerging approaches | B7-H3 (CD276) | Pediatric solid tumors, CNS (DIPG/DMG) | Variable in healthy tissues | Broad but heterogeneous | Under characterization | Locoregional CNS delivery feasible; strong pediatric signal | [7, 46] |
| CLDN18.2 | Gastric/GEJ | Low outside gastric lineage | Often enriched but variable | Being defined | First randomized positive CAR-T signal in GC/GEJ | [9, 50–53] | |
| IL13Rα2 | GBM | Low in normal brain | Often high but patchy | Escape described | CNS localization favors intraventricular delivery | [54–56] | |
| Established approaches | HER2 | Breast, gastric, ovarian | Low in heart/skin → safety concern | ~ 20–30% overexpression; intratumor variability | Documented under pressure | Strong precedent; selection/monitoring essential | [34, 35] |
| EGFR/EGFRvIII | Lung, GBM | Moderate in epithelia | EGFRvIII ~ 30% in GBM; high variability | Frequent under therapy | Regional heterogeneity and down-modulation limit durability | [36, 37, 42–45] | |
| Mesothelin (MSLN) | Pancreatic, mesothelioma, GI | Low in pleura/mesothelium | Variable surface density | Down-regulation observed | Specificity acceptable; density plus TME constraints | [57–59] | |
| GD2 | Neuroblastoma, select sarcomas | Minimal on peripheral nerves | Inter-patient variability | Reported; safety limits dose | Neurotoxicity risk requires careful dosing | [46, 47] | |
| PSCA | Prostate (± others) | Present in bladder/stomach | Patchy; patient-specific | Potential under pressure | Normal-tissue expression elevates off-tumor risk | [48, 49] | |
| CEA (CEACAM5) | Colorectal, GI | Moderate in normal colon | Marked inter/intra-tumor heterogeneity | Possible | Basal gut expression narrows systemic window | [60, 61] | |
| MUC1 | Lung, breast, others | Moderate in airway epithelium | Glycoform-dependent; heterogeneous | Possible | Broad presence drives off-tumor constraints | [62] |
Hostile TME
The TME in solid tumors is characterized by a dense stromal architecture, physical barriers, immunosuppressive cellular components, and metabolic stressors—all of which hinder the infiltration, persistence, and cytotoxic activity of CAR-T cells (Fig. 3) [63, 64]. Previous studies have demonstrated that < 1% of infused CAR-T cells successfully localize to solid tumor sites, in contrast to > 50% accumulation in hematologic malignancies. This stark disparity emphasizes the formidable challenge of delivering CAR-T cells to tumors that are effectively insulated by a hostile microenvironment [65, 66]. The TME is enriched with immunosuppressive elements, including regulatory T cells, myeloid-derived suppressor cells (MDSCs), regulatory dendritic cells, cancer-associated fibroblasts, and tumor-associated macrophages. In addition, upregulation of immune checkpoint molecules within the TME further inhibits CAR-T cell function [67–69]. For instance, in melanoma, high programmed death-ligand 1 expression has been associated with CAR-T cell failure, as T cells are rendered dysfunctional in the face of overwhelming immunosuppressive signaling [70]. Clinical trials involving mesothelin-targeted CAR-T cells in pancreatic cancer have reported minimal T-cell infiltration into tumor tissue. Tumor biopsies revealed high levels of TGF-β and phenotypic markers of T-cell exhaustion, emphasizing the profound suppressive influence of the TME [57–59]. Moreover, solid tumors are characterized by intense nutrient competition and proliferation within hypoxic niches. These regions are marked by low oxygen tension and lactate accumulation, both of which disrupt CAR-T cell metabolism and impair effector function [71–74]. In preclinical glioblastoma models, CAR-T cells targeting IL13Rα2 exhibited significantly reduced interferon-gamma (IFN-γ) production and diminished cytotoxicity under hypoxic conditions, illustrating how metabolic deprivation critically impairs immune activity [54, 56, 75, 76]. Clinical trials targeting HER2 in sarcoma have demonstrated initial tumor responses; however, these effects were transient, with therapeutic efficacy rapidly curtailed by stromal barriers and immunosuppression mediated by MDSCs [77, 78]. Similarly, CAR-T cell therapies directed against carcinoembryonic antigen in colorectal cancer exhibited limited clinical benefit. Post-treatment evaluations revealed inadequate T-cell persistence within a cytokine-rich, immunosuppressive TME, emphasizing the barriers to sustained therapeutic efficacy [60, 61]. These findings emphasize the urgent need for innovative strategies capable of circumventing the immunosuppressive and physical obstacles inherent to the TME.
Fig. 3.
Tissue microenvironment (TME) dynamics. Schematic representation of the complex immunosuppressive landscape within the TME that hinders chimeric antigen receptor T-cell (CAR-T) efficacy in solid tumors. The extracellular matrix forms a dense physical barrier that impedes the infiltration of immune effector cells, including CAR-T cells, natural killer cells, and dendritic cells. Within the tumor core, cancer cells and stromal elements secrete a range of immunosuppressive cytokines (transforming growth factor [TGF]-β, interleukin [IL]−1, IL-6, IL-10, and Th2 cytokines) and oncogenic signals that support tumor survival, progression, and metastasis. These factors facilitate the recruitment and activation of immunosuppressive cellular populations, including cancer-associated fibroblasts (CAFs), tumor-associated macrophages, myeloid-derived suppressor cells (MDSCs), regulatory T cells (Tregs), and regulatory dendritic cells. The dynamic interplay among these cellular and molecular constituents suppresses anti-tumor immune responses and impairs CAR-T cell infiltration, persistence, and cytotoxic activity, promoting immune evasion and tumor advancement
Tumor heterogeneit
Solid tumors exhibit pronounced heterogeneity, including intratumoral (variation within a single tumor) and intertumoral (differences between tumors across patients) heterogeneity, which collectively undermine the efficacy of CAR-T cell therapy in achieving comprehensive malignant cell targeting (Fig. 4A–E) [79]. Intratumoral heterogeneity refers to the molecular and genetic diversity present across distinct regions of the same tumor [80–83]. Tumors frequently consist of multiple subclonal populations, each characterized by unique genetic alterations, gene expression profiles, and antigenic landscapes [80–83]. These subclonal differences facilitate immune evasion and therapeutic resistance, as certain tumor regions may lack the target antigen, or express alternative markers not recognized by the CAR-T construct [79, 84]. For instance, although the primary tumor may express specific antigens, metastatic lesions may downregulate these targets or express distinct antigens, rendering them invisible to CAR-T cells designed for the original tumor profile [85]. Furthermore, clonal evolution driven by selective pressures can intensify this heterogeneity, fostering the emergence of resistant tumor subclones that escape CAR-T-mediated cytotoxicity [86].
Fig. 4.
Tumor Heterogeneity. (A) Intertumoral heterogeneity refers to molecular variability observed among tumors from different patients diagnosed with the same cancer type. (B) Intratumoral heterogeneity describes the coexistence of genetically and phenotypically distinct subpopulations within a single neoplasm. (C) Longitudinal heterogeneity denotes temporal changes in tumor composition, typically emerging during metastasis or recurrence under therapeutic selective pressure. (D) Heatmaps illustrate the transcriptional variability of representative tumor-associated antigens (TAAs) across normal lung tissue (n = 4), primary lung adenocarcinoma (LUAD) samples (n = 8), and matched metastatic sites including brain (n = 3), bone (n = 1), and adrenal gland (n = 1). The analyzed genes include BRAF, BTBD2, CEACAM5, CEACAM6, EGFR, ERBB2, EZH2, GPNMB, HHAT, and MAGED2. Data were derived from single-cell RNA-sequencing of 41,384 cells (GEO accession: GSE123902), with log-normalized expression values calculated from raw UMI counts. Color gradient: green (low, 0–4), white (median, 4), and red (high, 4–8); black boxes indicate undetected transcripts. Notably, CEACAM5 expression was significantly elevated in primary LUAD and brain metastases compared to normal lung (p = 0.0004 and p = 0.048, respectively), whereas EGFR expression was preferentially elevated in bone versus adrenal metastases (p = 0.0311). Statistical analyses were performed using two-way analysis of variance with Tukey’s multiple comparisons test; *P < 0.05, **P < 0.01, ***P < 0.001. (E) Bar plots depict mutation frequencies in canonical driver genes in metastatic LUAD (red, n = 2,133) versus primary LUAD (blue, n = 3,715). Alterations in TP53, KRAS, EGFR, CDKN2A, CDKN2B, STK11, KEAP1, MTAP, RBM10, and TERT were significantly enriched in metastatic samples, with TP53, KRAS, and EGFR showing the highest frequencies and statistically significant differences between cohorts. TP53 mutations were more prevalent in metastases (p-value < 0.001), whereas KRAS mutations were enriched in primary LUAD (p-value < 0.001). Genomic data were obtained from the MSK-CHORD cohort (Nature, 2024) via the cBioPortal for Cancer Genomics. Statistical comparisons were performed using two-sided Fisher’s exact test; **P < 0.01, ***P < 0.001
Clinical studies have established intratumoral heterogeneity as a major impediment to effective cancer treatment. In the TRACERx Lung study, patients with elevated subclonal diversity exhibited significantly higher relapse rates and shorter disease-free survival, directly linking intratumoral heterogeneity to unfavorable clinical outcomes [87]. Similarly, Yates et al. [88] demonstrated that subclonal driver mutations, such as PIK3CA in breast cancer, can persist or even expand under therapeutic pressure, diminishing treatment efficacy. In glioblastoma, distinct evolutionary trajectories defined by subclonal alterations in EGFR and PTEN have been implicated in the near-universal failure of conventional therapies [89]. In colorectal cancer, discordant KRAS and BRAF mutations between primary and metastatic lesions have been associated with resistance to anti-EGFR therapies [90]. Furthermore, McGranahan et al. [91] reported that tumors with a high burden of subclonal neoantigens exhibit poor T-cell infiltration and reduced responsiveness to immune checkpoint blockade.
Intertumoral heterogeneity emphasizes the genetic and phenotypic diversity observed among tumors from different patients, even within the same cancer type [92, 93]. For instance, two patients with lung cancer may harbor distinct driver mutations in genes, such as KRAS, EGFR, or ALK, each exerting unique influences on tumor behavior, immune interactions, and antigen presentation [94–97]. Data from The Cancer Genome Atlas reveal population-specific mutational patterns: EGFR mutations are more prevalent in East Asian patients with non-small-cell lung cancer, whereas KRAS mutations are more commonly observed in Western populations, contributing to differential responses to tyrosine kinase inhibitors [98]. In breast cancer, the PAM50 gene expression classifier categorizes tumors into discrete molecular subtypes, such as Luminal A, HER2-enriched, and Basal-like, each associated with distinct prognoses and therapeutic responses to endocrine or HER2-targeted therapies [99]. Similarly, in renal cell carcinoma, intratumoral heterogeneity significantly influences the response to targeted therapies. Distinct molecular subtypes of clear cell renal cell carcinoma exhibit differential sensitivities to pazopanib and sunitinib, emphasizing the role of intrinsic tumor biology in determining therapeutic outcomes [100]. Although the COMPARZ trial demonstrated comparable overall efficacy between pazopanib and sunitinib in terms of progression-free survival [101], the variability in patient-specific responses emphasizes the critical need for incorporating tumor heterogeneity into treatment decision-making. These clinical observations emphasize the necessity of precision oncology in navigating tumor heterogeneity. A standardized therapeutic strategy is frequently inadequate in the face of such biological complexity. Integration of molecular diagnostics and individualized tumor profiling into routine clinical practice is essential for informing treatment selection and optimizing clinical outcomes. In the context of CAR-T cell therapy, genetic and phenotypic differences among tumors can significantly influence therapeutic efficacy. Tumors expressing favorable antigen profiles may be more amenable to CAR-T cell targeting, whereas others may induce T-cell exhaustion within an immunosuppressive TME, compromising the durability of antitumor responses [102, 103].
Off-tumor effects
Off-tumor toxicity remains a significant safety concern in CAR-T cell therapy for solid tumors [104]. This phenomenon arises when CAR-T cells target normal tissues that express the same antigens as malignant cells [104]. In solid tumors, off-tumor toxicity is not solely attributable to static antigen expression; rather, it is a multifactorial issue that often eludes detection in preclinical models [104]. A particularly worrisome mechanism underlying off-tumor effects is inflammation-induced antigen upregulation. Upon CAR-T cell activation, pro-inflammatory cytokines, such as IFN-γ, tumor necrosis factor-alpha, and IL-6, can induce increased antigen expression in normal tissues that typically exhibit low or negligible antigen levels. This dynamic expansion of antigen expression can significantly broaden the spectrum of at-risk tissues, leading to severe toxicities in organs with low basal antigen expression [105]. Conventional antigen-screening methods, typically conducted under homeostatic and non-inflammatory conditions, fail to capture this cytokine-driven modulation of antigen expression, introducing a critical limitation in the predictive accuracy of preclinical toxicity assessments [105]. Furthermore, the TME of solid tumors, characterized by hypoxia, immune evasion, and aberrant signaling, may further promote aberrant antigen presentation on non-malignant cells, exacerbating the risk of CAR-T-mediated cytotoxicity [106, 107]. A recent study underscored the clinical relevance of these concerns, highlighting cases of severe on-target, off-tumor toxicity in solid tumor trials and emphasizing the pressing need for more predictive and physiologically relevant preclinical models [33] (Fig. 5).
Fig. 5.
Off-Tumor Toxicity of Chimeric Antigen Receptor T (CAR-T) Cells in Solid Tumors. CAR-T cells eliminate tumor cells by recognizing tumor-associated antigens (TAAs); however, many TAAs are expressed at varying levels in normal tissues, increasing the risk of off-tumor toxicity. Upon CAR-T cell activation, pro-inflammatory cytokines such as interferon-gamma (IFN-γ, TNF-α, and interleukin-6 (IL-6) can upregulate antigen expression in otherwise unaffected normal tissues, expanding the range of cells susceptible to CAR-T-mediated cytotoxicity. In addition, the tumor microenvironment (TME), characterized by hypoxia, immunosuppressive cytokines, and aberrant antigen processing and presentation, may inadvertently enhance antigen expression in surrounding healthy tissues. These factors collectively contribute to unintended off-tumor effects and limit the therapeutic window of CAR-T cell therapy in solid tumors
Beyond antigen selection, the challenge of mitigating off-tumor toxicity in CAR-T cell therapy for solid tumors involves a complex interplay of biological, immunological, and tissue-specific factors that collectively influence CAR-T cell behavior [105]. Recent studies have investigated genetic modifications, such as the development of “armored” CAR-T cells incorporating enhanced costimulatory domains, to improve antigen specificity and functional persistence [66]. However, the inherently limited specificity of TAAs remains a major hurdle [66]. Notably, off-tumor toxicity should not be regarded as an isolated or sporadic adverse event but as a foreseeable outcome of systemically administered CAR-T cells targeting non-exclusive antigens in a highly dynamic and heterogeneous TME [108]. This challenge transcends the limitations of antigen selection alone, revealing fundamental gaps in our understanding of antigen regulation, immune activation thresholds, and the tissue-specific intricacies of inflammatory responses [108]. Until these complexities are systematically addressed, widespread clinical implementation of CAR-T cell therapy for solid tumors will remain constrained by unacceptable toxicity risks, emphasizing the urgent need for physiologically relevant preclinical models and more refined, antigen-specific targeting strategies [104]. These challenges emphasize the need for innovative strategies, which are discussed in the following section.
Taken together, these convergent barriers necessitate the integrated translational strategies detailed in Sect. "Emerging strategies and future directions"—spanning memory T-cell–centric engineering and TME modulation—the implementation of which is illustrated in a multiple-myeloma case study (Sect. "Memory CAR-T cells: The next frontier").
Emerging strategies and future directions
Clinical application of CAR-T cell therapy in solid tumors has been limited by several formidable challenges, as outlined in Sect. "Challenges in applying CAR-T to solid tumors". This section presents emerging strategies designed to overcome these obstacles and enhance the efficacy and safety of CAR-T therapy for solid tumors; these include multi-antigen targeting constructs to mitigate antigen escape, armored CAR-T cells capable of modulating the TME, logic-gated systems to enhance tumor specificity and safety, and memory-enriched CAR-T products designed for sustained persistence and durability. To address these challenges, innovative strategies have been introduced (Table 2). The following sections delineate these emerging strategies and explore their potential to shape the future landscape of CAR-T cell therapy in solid tumors.
Multi-antigen targeting strategies
Solid tumors frequently exhibit antigenic heterogeneity, characterized by variable expression levels of target antigens across tumor cell populations, facilitating immune evasion. To address this challenge, multi-antigen targeting strategies have been developed [109] (Table 3). Dual-target CARs, designed to recognize two distinct antigens simultaneously, such as HER2 and mucin 1 in ovarian cancer, broaden tumor coverage and reduce the risk of immune escape by targeting multiple tumor subpopulations [3, 110]. Preclinical studies have demonstrated that dual-target CARs outperform single-antigen constructs in eliminating antigen-heterogeneous tumors [111, 112]. Tandem CARs, incorporating dual specificity within a single receptor framework—such as those targeting HER2 and IL13Rα2 in glioblastoma—further enhance antitumor potency [113, 114]. Furthermore, CAR-T cells engineered to secrete bispecific T-cell engagers (BiTEs) can recruit endogenous bystander T cells, amplifying the immune response against tumors with heterogeneous antigen expression [115, 116]. These strategies build on recent advancements, including dual-target CARs—such as HER2/PD-L1 constructs—designed to address antigen variability and the immunosuppressive TME (NCT04684459) [117]. Similarly, BiTE-secreting CAR-T cells have demonstrated enhanced immune recruitment in preclinical studies [116]. Collectively, these advancements emphasize the therapeutic potential of multi-antigen targeting strategies and underscore the need for continued clinical evaluation to optimize their efficacy in solid tumors.
Table 3.
Next-generation CAR designs for solid tumors — preclinical and clinical strategies
| Stage | Strategy class | Specific strategy (examples) | Mechanistic basis | Representative evidence & stage | Selected trials/outcomes |
|---|---|---|---|---|---|
| Preclinical Innovations | Multi-antigen designs | Tandem/dual CARs; BiTE-secreting CARs (e.g., EGFRvIII-BiTE) | Broaden coverage; recruit bystander T cells; mitigate escape | BiTEs enhance clearance of antigen-negative clones; preclinical [113] | — |
| Logic-gated circuits | AND/NOT; SynNotch/E-SYNC | Context-restricted activation to improve specificity | Validated preclinically; SynNotch entered FIH; preclinical to early clinical [118–121] | NCT06186401 [119] | |
| Universal/adapter CARs | Modular adaptors | Rapid, modular retargeting | Robust preclinical PoC; preclinical [122, 123] | — | |
| Hypoxia/context-responsive | HRE-driven CARs | Activity limited to hypoxic tumor sites | Preclinical efficacy in solid tumors [107] | — | |
| Armored cytokines | IL-18 TRUCKs | Counter TME suppression; enhance persistence | Preclinical [124] | — | |
| ECM-modifying payloads | Heparanase | Improve infiltration through dense stroma | Preclinical [125] | — | |
| Chemokine-receptor engineering | CXCR2 | Tumor-directed trafficking | Preclinical homing gains [126] | — | |
| Oncolytic virus combos | Oncolytic vaccinia | Antigen up-regulation & TME disruption | Preclinical [127] | — | |
| Radiotherapy combos | CAR-T + RT (breast models) | Upregulate TAAs, remodel TME | Preclinical [128] | — | |
| CAR-enhancers | Selective IL-2 pathway enhancer | Amplify activation/memory | Preclinical (2025) [129] | — | |
| In-vivo CAR generation | LNP/non-viral targeted delivery | Direct in-body programming of T cells | Murine/NHP efficacy; preclinical to early clinical trials [130–133] | — | |
| Clinical Translation | Dual-target CARs | HER2/PD-L1 | Expand coverage; address heterogeneity/TME | Early-phase | NCT04684459 [117] |
| Tandem CARs | EGFR/HER2 (GBM) | Dual specificity in one receptor | Early clinical evaluation | [10, 113] | |
| Armored CARs | IL-12–secreting (ovarian) | TME reprogramming | Early feasibility | NCT01548434 [134] | |
| Checkpoint combinations | CAR-T + PD-1 blockade | Reverse exhaustion; ↑ persistence | Early-phase combinations | Clinical activity reports [135, 136] | |
| Safety switches | iCasp9 | Rapid ablation on toxicity | Clinical demonstration | Pediatric setting [137, 138] | |
| Transient expression | mRNA CARs | Limit persistence → safety | First-in-human signals | Early FIH [139–141] | |
| Local/locoregional delivery | IL13Rα2 (CNS) | Bypass systemic barriers | Multiple Phase I completed | [55, 142, 143] | |
| Memory-enriched products | TSCM-enriched | Durable surveillance & control | Early exploration | [144–146] |
Co-expression of transgenic T cell receptors (TCRs) and CARs
A novel strategy to enhance the specificity and efficacy of CAR-Tcell therapy for solid tumors involves engineering T cells to co-express TCRs and CARs. Unlike conventional CAR-T cells, which target surface antigens, this dual-receptor strategy allows T cells to recognize intracellular antigens presented by major histocompatibility complex molecules via TCRs, and surface antigens via CARs, broadening the spectrum of targetable tumor antigens. Smith et al. [147] demonstrated that TCRs targeting neoantigens (HATL8F/p53R175H) and CARs targeting HER2 exhibited enhanced antitumor efficacy and reduced toxicity in humanized solid tumor mouse models. High-throughput analyses revealed that strong TCR-antigen interactions synergistically enhanced CAR activation, whereas weak TCR engagement could attenuate CAR-mediated responses. This dual-receptor system leverages the interplay between TCR and CAR signaling to fine-tune T-cell activation, offering a promising strategy to address key challenges, such as antigen heterogeneity and off-tumor toxicity in solid tumors. Careful selection of antigen targets and optimization of receptor expression are essential to maximizing therapeutic benefit. However, despite their potential, dual-receptor approaches face notable clinical challenges. In particular, co-expression of both targeted antigens on tumor cells is required to achieve complete tumor coverage; thus, intratumoral antigenic heterogeneity may limit efficacy and contribute to immune escape. In addition, the design and manufacturing of dual-target CAR-T cells are inherently complex, requiring advanced engineering approaches, such as logic-gated CARs (AND-gate systems) and SynNotch platforms to enhance specificity and safety. Although these technologies hold considerable promise, they remain in early stages of clinical development, with preliminary trials yielding variable outcomes. For instance, a phase I trial of prostate-specific membrane antigen (PSMA)-specific CAR-T cells in prostate cancer demonstrated clinical responses in only two of five patients, emphasizing the need for further optimization [148]. Furthermore, simultaneous targeting of two antigens may increase the risk of off-tumor toxicity if antigen is expressed on normal tissues. In addition, excessive or chronic overstimulation of CAR-T cells, particularly in the immunosuppressive TME of solid tumors, can induce T-cell exhaustion and impair therapeutic efficacy [149]. Therefore, although multi-antigen targeting represents a promising strategy to overcome tumor heterogeneity and escape, it remains an area of ongoing research requiring significant refinement to achieve durable and consistent clinical benefit [150, 151].
Multi-antigen targeting strategies represent a pivotal advancement in CAR-T cell therapy for solid tumors, offering a direct means to address antigenic heterogeneity through dual-target CARs, tandem constructs, BiTEs, and TCR-CAR co-expression. Clinical progress—exemplified by responses in DMG—alongside emerging technologies, such as the TCR-CAR dual-receptor system, emphasize the transformative potential of these platforms. Despite ongoing challenges, including manufacturing complexity and the risk of off-tumor toxicities, the rapid progress in preclinical and clinical studies suggest that these strategies are well-positioned to redefine cancer immunotherapy. As these innovations are integrated into clinical practice and further validated in trials, CAR-T therapy may overcome the long-standing barriers posed by solid tumors, ushering in a new era where even the most resistant cancers become amenable to targeted cellular therapies.
Armored CAR-T cells for TME reprogramming
The TME of solid tumors is characterized by immunosuppressive cytokines, dense physical barriers, such as the extracellular matrix (ECM), and other factors that impair CAR-T cell efficacy. Various engineering strategies have been developed to augment CAR-T cell performance within these hostile settings. One promising approach involves the use of “armored” CAR-T cells that are engineered to secrete pro-inflammatory cytokines such as IL-12 or IL-18 (Fig. 6A) [103, 152, 153]. These cytokine-secreting CAR-T cells actively remodel the TME by recruiting innate immune effectors and antagonizing immunosuppressive signals, particularly those mediated by TGF-β [152, 153]. In preclinical models of ovarian cancer, IL-12-secreting CAR-T cells have demonstrated enhanced immune cell infiltration and cytotoxicity, resulting in the regression of tumors that are otherwise resistant to standard CAR-T therapies [154, 155]. Building on this concept, “CAR-Enhancers”, which are aimed at improving CAR-T cell survival and functional potency. A prominent approach involves cytokine-armored CAR-T cells, also referred to as T cells, redirected for universal cytokine-mediated killing (TRUCKs), and designed to secrete cytokines, such as IL-12, IL-18, or IL15 upon activation. These cytokines help counteract the immunosuppressive TME and promote CAR-T cell survival. Preclinical studies have revealed that IL-12-secreting CAR-T cells suppress regulatory T cell activity and enhance IFN-γ production, resulting in improved tumor clearance in ovarian and pancreatic cancer models [156]. Similarly, IL-18-secreting CAR-T cells have been demonstrated to reprogram T cells into resilient effector cells, significantly prolonging survival in murine solid tumor models [124]. A phase 1 trial (NCT05694364) evaluating IL-12-secreting CAR-T cells targeting mesothelin in pancreatic cancer reported prolonged CAR-T cell persistence and partial responses in three of eight patients [157]. In parallel, a phase I trial (NCT04556669) is evaluating anti-PD-L1 armored CAR-T cells in patients with solid tumors [158], and ongoing recruitment in subsequent studies further emphasizes the growing momentum and therapeutic promise of this approach (NCT06939270) [159]. In addition, combining CAR-T cell therapy with immune checkpoint inhibitors, such as anti-programmed cell death protein 1 (PD-1) or anti-CTLA-4 antibodies, has shown efficacy in reversing T-cell exhaustion [116, 136]. Preliminary clinical trials in lung cancer suggest that combinatorial strategies enhance CAR-T cell persistence and functional potency [160, 161]; these findings are further supported by the ongoing trial NCT04684459, which is evaluating HER2/PD-L1 dual-target CAR-T cells in solid tumors [117]. Alongside, gene editing using CRISPR-Cas9 further enhances CAR-T cell function by eliminating inhibitory checkpoints; for instance, deletion of PD-1 or CTLA4 genes enhances resistance to tumor-mediated immunosuppression, whereas ablation of RASA2 increases antigen sensitivity and long-term functionality [162, 163]. Similarly, targeting REGNASE-1 has been shown to reprogram CAR-T cells into long-lived effector cells with superior durability [164]. Recent clinical trials, such as those combining MUC1-targeted CAR-T cells with PD-1 knockout for advanced breast cancer and non-SCLC, have integrated these safety mechanisms to enhance the therapeutic index [62, 165].
Fig. 6.
Next-Generation Chimeric Antigen Receptor (CAR) Architectures for Solid Tumor Immunotherapy. Schematic overview of logic-gated CAR-T cell designs engineered to enhance antigen specificity, mitigate off-target toxicity, and overcome the immunosuppressive tumor microenvironment (TME) in solid tumors. (A) Armored CARs are modified to secrete immunomodulatory molecules—such as cytokines or monoclonal antibodies—upon antigen engagement; these designs reinforce anti-tumor responses and reprogram the TME through antigen-induced transcriptional circuits. (B) OR-gate CARs broaden the range of tumor antigen recognition by triggering T cell activation upon detection of either of two distinct antigens. This can be achieved via co-expression of dual CARs targeting separate antigens or tandem CAR constructs harboring dual antigen-binding domains within a single receptor. (C) AND-gate CARs improve tumor specificity by requiring simultaneous recognition of two antigens for full T cell activation. This dual-antigen requirement can be implemented using split CAR designs or combinatorial systems that distribute activation motifs across separate receptors, converging on canonical T cell receptor (TCR) signaling to minimize off-tumor cytotoxicity. (D) NOT-gate CARs integrate inhibitory modules—typically immunoreceptor tyrosine-based inhibitory motifs (ITIMs) derived from checkpoint molecules, such as PD-1—to suppress CAR-T activation upon detection of antigens expressed on healthy tissues, introducing a safety mechanism via negative regulation. (E) IF–THEN-gate CARs are conditional systems that activate effector functions only upon simultaneous recognition of a primary tumor-associated antigen and a secondary context-specific cue (neoantigen or tissue-restricted marker). This design allows for spatial and contextual precision in targeting tumors with heterogeneous antigen expression. In all panels, green marks
indicate productive antigen recognition and T cell activation, whereas red crosses
indicate signal insufficiency or functional inhibition
Enhancing trafficking and infiltration
To overcome the ECM-associated physical barriers, CAR-T cells have been engineered to express matrix-degrading enzymes such as heparanase or hyaluronidase, which facilitate tumor infiltration by degrading structural components like collagen and hyaluronan [166, 167]. Preclinical studies in pancreatic cancer have demonstrated that CAR-T cells engineered to express matrix-degrading enzymes can achieve deeper tumor penetration [125, 168]. However, safety concerns persist, particularly regarding the potential for off-target degradation of extracellular matrix components in healthy tissues. Another critical area of innovation involves improving CAR-T cell trafficking to tumors; this has been achieved by engineering CAR-T cells to express chemokine receptors such as CXCR2, which respond to tumor-derived chemokines like CXCL1, enhancing targeted migration and infiltration [168, 169]. In lung cancer models, CXCR2-modified CAR-T cells exhibited a tenfold increase in intratumoral accumulation, resulting in significantly improved therapeutic efficacy [170]. NCT05353530 is assessing IL-8 receptor–modified CD70-targeted CAR-T cells in patients with glioblastoma [171]. Local administration of CAR-T cells, whether directly into the tumor mass or into resection cavities, offers a strategy to circumvent systemic delivery barriers and concentrate therapeutic activity at the tumor site [172, 173]. In glioblastoma models, locally delivered IL13Rα2-targeted CAR-T cells induced encouraging, albeit transient, responses [54, 55, 142]. Although these strategies significantly improve CAR-T cell tumor localization, further development is required to establish scalable and clinically applicable delivery protocols [54, 55, 142]. A notable example is a recent phase 1 trial in diffuse intrinsic pontine glioma (DIPG), where repeated ICV administration of B7-H3-targeted CAR-T cells demonstrated a favorable safety profile and robust immune activation within the central nervous system (CNS). Elevated levels of cytokines, including C-X-C motif chemokine ligand 10, granulocyte macrophage colony-stimulating factor, IFN-γ, and Thymus and activation-regulated chemokine in cerebrospinal fluid, were detected in the cerebrospinal fluid, indicating a potent immunologic response. The trial reported a median survival of 19.8 months from diagnosis, significantly exceeding the historical median of 11.2 months [7]. These findings emphasize the therapeutic potential of integrating locoregional CAR-T delivery with TME modulation to achieve meaningful clinical outcomes in aggressive solid tumors.
Safety-engineered designs and combinatorial therapies
Combination therapies are increasingly recognized as potent strategies to enhance CAR-T cell efficacy. One promising approach involves the integration of CAR-T therapy with oncolytic viruses, which selectively lyse tumor cells and unmask otherwise concealed TAAs, enhancing T-cell recognition and activation [127, 174]. Another synergistic strategy pairs CAR-T cells with radiotherapy, which upregulates the expression of TAAs and disrupts the TME, rendering malignant cells more vulnerable to immune-mediated destruction [175]. Preclinical studies in breast cancer models have demonstrated the capacity of this combinatorial approach to augment CAR-T cell antitumor activity significantly [175]. These strategies are currently under clinical evaluation. For instance, trial NCT03740256 is investigating HER2-targeted CAR-T cells in combination with an oncolytic virus for advanced solid tumors, with ongoing recruitment and preliminary signals of enhanced tumor targeting as of 2025 [176]. Similarly, NCT06348797 is assessing the combination of delta-like protein 3 (DLL3)-targeted CAR-T cells with radiotherapy in R/R small cell lung cancer (SCLC), with early phase 1 data indicating early disease control [177]. Despite these advancements, off-tumor toxicity remains a significant safety concern in solid tumors, as many target antigens are expressed on vital normal tissues [33]. To mitigate this risk, multiple safety-engineering strategies have been developed to minimize off-tumor effects and enhance the therapeutic index of CAR-T cell therapy. Logic-gated CAR constructs, such as AND-gate systems, enhance tumor specificity by requiring the coexpression of HER2 and EGFR for activation, minimizing off-tumor cytotoxicity to healthy tissues (Fig. 6B–E) [178, 179]. Preclinical studies in glioblastoma models have demonstrated the efficacy of AND-gate CARs targeting IL13Rα2 and EGFRvIII, effectively eliminating tumor cells while sparing normal cells that express only one of the target antigens [55, 113]. The synthetic notch receptor (SynNotch) CAR platform offers an additional layer of specificity by enabling CAR-T cell activation after the sequential recognition of distinct tumor-associated antigens. This advanced system significantly enhances tumor selectivity and reduces the risk of off-target effects [118, 120]. These strategies are currently being evaluated in clinical settings—for instance, SynNotch CAR-T cells targeting EGFRvIII are under investigation in glioblastoma (NCT06186401) [119]. In addition, the incorporation of iCasp9 suicide switches has shown efficacy in preclinical sarcoma models, enabling rapid, small-molecule–induced ablation of CAR-T cells in the event of toxicity [160]. Another promising safety-enhancing strategy involves transient CAR expression through messenger RNA (mRNA) electroporation, which limits CAR-T cell persistence and reduces the risk of long-term off-tumor toxicity. Early phase studies in liver cancer models have demonstrated the feasibility, safety, and immunologic efficacy of mRNA-based CAR-T cell therapies [139, 140]. To address the unique therapeutic challenges posed by solid tumors, both transient and stable CAR expression platforms are being actively investigated. mRNA-based approaches offer a favorable safety profile by avoiding permanent genomic integration, reducing the risk of long-term off-tumor toxicity. Meanwhile, gene-editing technologies, such as CRISPR-Cas9 and non-viral transposon systems, allow targeted insertion of CAR constructs at specific loci, ensuring consistent expression while minimizing the risk of insertional mutagenesis [180]. Recent advances in in vivo gene delivery, particularly via lipid nanoparticle (LNP) technologies, have enabled precise, efficient genomic editing in physiological settings, achieving high efficacy with limited off-target effects [180]. Notably, the phase 1/2 trial (NCT02414269), combining mesothelin-targeted CAR-T cells with pembrolizumab in malignant pleural mesothelioma, reported a 1-year OS rate of 83%, including complete metabolic responses in two patients [180].
The antigenic and genetic heterogeneity of solid tumors presents a significant barrier to the efficacy of CAR-T cell therapy, as variable antigen expression enables tumor subclones to evade immune detection. Addressing this complexity requires a multifaceted strategy that surpasses single-antigen targeting [122]. One promising strategy involves the development of universal CARs equipped with modular antigen-binding domains, enabling recognition of a broader spectrum of patient-specific mutations, including those derived from unique genetic alterations [122, 181]. Preclinical studies have demonstrated that universal CARs using adaptors, such as biotin-binding immune receptors or fluorescein isothiocyanate-conjugated ligands, can simultaneously target multiple TAAs, enhancing tumor coverage in models of pancreatic and breast cancer [123]. Although these platforms offer enhanced flexibility and personalization, they introduce technical challenges, including complex manufacturing processes and the requirement for comprehensive and precise tumor antigen profiling [122, 181]. Furthermore, combinational approaches incorporating bispecific antibodies, immune-modulating agents, oncolytic viruses, or radiotherapy can enhance CAR-T cell efficacy by expanding the antigenic repertoire and alleviating immunosuppression within the TME [182]. Bispecific antibodies, such as those targeting EGFR and CD3, redirect endogenous T cells to eliminate antigen-negative tumor cells, complementing CAR-T cell activity. Similarly, oncolytic viruses selectively lyse tumor cells, promoting the release of neoantigens and enhancing immune visibility, whereas radiotherapy upregulates TAA expression, rendering malignant cells more susceptible to CAR-T-mediated cytotoxicity. Preclinical models of lung and breast cancer models have demonstrated the synergistic potential of these combinational strategies, with significantly enhanced tumor regression observed when CAR-T cells are combined with oncolytic virotherapy or radiotherapy [127, 174, 175]. Recent clinical trials further support the translational relevance of these approaches. For instance, an ongoing clinical trial (NCT03415100) is evaluating allogeneic or autologous NKG2DL-targeting CAR-NK cells in patients with metastatic solid tumors, reporting preliminary evidence of safety and feasibility across diverse tumor types as of 2025 [183]. Similarly, early-phase results from a separate trial (NCT05137275) investigating 5T4-targeted CAR-NK cells in advanced solid tumors have demonstrated early signals of antitumor activity and persistence in heterogeneous tumor settings [184].
To predict and mitigate off-tumor toxicity, several evaluation methodologies are used in preclinical settings to assess CAR-T cell specificity and safety, with the aim of enhancing the accuracy of toxicity predictions and guiding the development of safer therapies. In vitro assays using cells with low antigen expression are used to define activation thresholds, often using engineered cell lines expressing targets such as HER2 or GD2, along with standardized assays incorporating artificial antigen-presenting particles to ensure reproducibility [185]. Recent advancements have further refined these assays by incorporating inflammatory stimuli, enhancing their predictive value under conditions that more closely mimic the TME [186, 187]. Complementary approaches include cytokine production assays, which quantify the release of IFN-γ, IL-6, and tumor necrosis factor (TNF)-α release via enzyme-linked immunosorbent assay, multiplex techniques, or single-cell profiling; these techniques elucidate response heterogeneity and demonstrate how inflammation may potentiate off-tumor effects [188]. In addition, patient-derived organoids (PDOs) offer a physiologically relevant platform for studying CAR-T cell interactions with tumor and normal tissues. By preserving the histopathological, genomic, and antigenic characteristics of primary tissues; PDOs enable a more accurate assessment of off-tumor toxicity [189].
Several innovative strategies have been developed to mitigate on-target off-tumor toxicity (Table 4). These include logic-gated CAR-T cells, such as those targeting ROR1 in breast and lung cancers (NCT05274451) [190], which enhance specificity by requiring dual antigen recognition, minimizing cytotoxicity to normal tissues. The EVEREST-1 phase 1/2 trial (NCT05736731) [191] is currently evaluating a logic-gated CAR-T cell product, A2B530, in patients with solid tumors [192]. Building on this approach, dual-target and multivalent CAR-T cells simultaneously target multiple antigens, reducing the risk of off-tumor toxicity by necessitating co-expression of antigens for full activation. This is exemplified by a phase 1 breast cancer trial (NCT04430595), which targets HER2, GD2, and CD44v6, showing preliminary specificity improvements [193]. Similarly, dual-target CAR-T cells directed against PRDM1 and NR4A3 have demonstrated enhanced antitumor activity with reduced toxicity in preclinical models [104]. Furthermore, safety-engineered CAR-T cells incorporate switches, such as iCasp9, enabling rapid elimination of CAR-T cells in response to severe adverse events, as validated in clinical trials for sarcoma (NCT01953900) [160]. Transient CAR expression via mRNA electroporation offers an additional safety layer by limiting persistence and reducing the risk of long-term off-tumor toxicity [139, 140].
Table 4.
Ongoing clinical trials focused on enhancing efficacy and reducing toxicity of CAR-T cell therapy in solid tumors
| Therapy | Target | Tumor type | Clinical trial | Efficacy & side effects | Status and citation |
|---|---|---|---|---|---|
| Dual-target CAR-T | HER2/PD-L1 | Peritoneal carcinoma metastatic, pleural effusion, malignant | NCT04684459, early phase I | No results posted; early data suggest manageable toxicities | Recruiting [117] |
| Armored CAR-T | Anti-PD-L1 armored anti-CD22 CAR-T/CAR-TILs | Patients with solid tumors | NCT04556669, Phase I, | No results posted; ongoing evaluation of TME modulation | Recruiting [158] |
| Chemokine receptor-modified CAR-T | IL-8 receptor-modified CD70 CAR-T | Adult glioblastoma | NCT05353530, Phase I | No results posted; focus on enhancing CAR-T cell trafficking | Recruiting [171] |
| SynNotch CAR-T | EGFRvIII | Glioblastoma | NCT06186401, phase I | No results posted; evaluating tumor-specific activation mechanisms | Recruiting [119] |
| Suicide gene-CAR-T | GD2 | Neuroblastoma | NCT01822652, phase 1 | No results posted; Preliminary data suggest safety with iCasp9 switch | Recruiting [137] |
| CAR-T + oncolytic virus | HER2 | Advanced HER2-positive solid tumors | NCT03740256, phase I | No results posted; exploring synergistic effects | Recruiting [176] |
| CAR-T + radiotherapy | Notch ligand delta-like ligand 3 (DLL3) | R/R SCLC | NCT06348797, phase I | No results posted; planned trials aim to assess TME disruption | Not yet recruiting [177] |
| Dual-target CAR-T | CART-EGFR-IL13Ra2 | Glioblastoma | NCT05168423 | Rapid tumor shrinkage with some durable responses; manageable neurotoxicity (> 50%) and mild CRS; MTD: 2.5 × 10⁷ cells | Recruiting [196] |
| Dual-targeting CLDN18.2 and PD-L1 CAR-T | CLDN18.2 | Gastric | NCT06084286 | Approximately 38% ORR; predominantly mild CRS and manageable hematologic toxicities | Ongoing Phase 1; Recruiting [197] |
A pivotal phase I trial, BrainChild-03 Arm C, led by Brown et al. [7] evaluated B7-H3-targeted CAR-T cells in 23 patients with DIPG, 21 of whom received treatments via intraventricular (ICV) infusions. DIPG, a fatal pediatric brainstem tumor, has a historical median survival of 11.2 months, emphasizing the urgent need for effective therapies. B7-H3 (CD276), an immune checkpoint molecule overexpressed in DIPG and other pediatric solid tumors (osteosarcoma and rhabdomyosarcoma), was selected as the target due to its high tumor specificity and limited expression in normal tissues, minimizing the risk of off-tumor toxicity. The trial implemented repeated ICV infusions without lymphodepletion, using intra-patient dose escalation to optimize CAR-T cell exposure and persistence within the CNS. This locoregional approach was designed to overcome systemic delivery barriers, such as poor tumor penetration and immunosuppressive microenvironments, and to promote sustained intratumoral activity. The findings were encouraging: median survival from CAR-T infusion reached 10.7 months, and median survival from diagnosis extended to 19.8 months—substantially longer than historical benchmarks. Notably, 3 patients survived beyond 40 months, indicating potential for long-term benefit. Among 18 evaluable patients, 1 achieved a partial response and 15 exhibited stable disease, indicating effective disease control. Evidence of immune activation was observed through CAR-T cell detection in the cerebrospinal fluid, accompanied by elevated cytokine levels and T cell proliferation, suggesting robust anti-tumor activity within the CNS TME. The therapy was well tolerated, with predominantly low-grade (grade 1–2) adverse events, including headaches, nausea, and fatigue, with no dose-limiting toxicities. This trial supports B7-H3 as a promising target for DIPG and validates ICV delivery as a viable strategy to enhance CAR-T cell efficacy in CNS tumors. The FDA’s recent designation of BCB-276—the B7-H3 CAR-T cell therapy used in this study— as a breakthrough therapy further emphasizes its transformative potential for DIPG and other B7-H3-expressing tumors [194].
Beyond the GD2 and B7-H3 trials, recent studies have further expanded the applicability of CAR-T cell therapy to a broader range of solid tumors. Qi et al. [195] evaluated CLDN18.2-targeted CAR-T cells in advanced gastric cancer, a disease with limited treatment options. CLDN18.2, a tight junction protein frequently overexpressed in gastric tumors, was targeted in a cohort of heavily pretreated patients, yielding an ORR of 57.1%, a disease control rate (DCR) of 75%, and a 6-month OS rate of 81.2%. Similarly, Zhang et al. [50] investigated CD133-targeted CAR-T cells in pancreatic cancer, a malignancy known for its dense stromal architecture and immunosuppressive TME. CD133, a marker of cancer stem cells, was targeted in 7 patients, resulting in 1 partial response and stable disease in 3 others.
The application of CAR-T cell therapy to solid tumors remains hindered by several challenges, including the immunosuppressive TME, antigenic heterogeneity, and the risk of on-target off-tumor toxicity. To overcome these barriers, recent advancements in genetic engineering have prioritized the precise genomic integration of CAR constructs to enhance efficacy and safety. These next-generation strategies harness cutting-edge gene-editing technologies and non-viral delivery methods, addressing the inherent limitations of conventional viral vector-based systems and offering a promising framework for effective solid tumor treatment.
CRISPR-Cas9 has emerged as a transformative tool for precise genomic modifications in CAR-T cells, enabling targeted gene knock-ins and knock-outs to enhance functionality and persistence in the immunosuppressive TME. For instance, Zhang et al. [198] used CRISPR-Cas9 to disrupt the TGFβRII gene, enhancing CAR-T cell efficacy by mitigating TME-mediated inhibitory signaling in preclinical models. Similarly, Prinzing et al. [199] demonstrated that deletion of DNMT3A in CAR-T cells prevents exhaustion and augments antitumor activity, emphasizing the potential for sustained therapeutic benefits. In a phase I clinical trial, anti-mesothelin CAR-T cells with CRISPR-mediated PD-1 disruption were evaluated in patients with metastatic mesothelin-positive solid tumors [200]. The trial reported no dose-limiting toxicities among 15 patients, with two achieving stable disease, indicating the feasibility and safety of this gene-editing approach [200]. Another phase I trial (NCT03399448) assessed CRISPR-edited T cells targeting NY-ESO-1 in patients with advanced sarcomas and MM, demonstrating manageable safety profiles and preliminary signs of clinical activity [201]. Complementing these gene-editing approaches, non-viral gene delivery methods offer safer and more scalable alternatives to traditional viral vectors, which carry the risk of random genomic integration and associated off-target effects. The Sleeping Beauty transposon system has been used to achieve stable CAR expression with reduced immunogenicity. Monjezi et al. [202] demonstrated its efficacy in engineering CAR-T cells for B-cell non-Hodgkin lymphoma, achieving favorable safety and therapeutic outcomes. More recently, Hamilton et al. [180] developed an in vivo T cell engineering platform using enveloped delivery vehicles, enabling precise CAR gene integration directly in the host, potentially streamlining manufacturing processes and lowering production costs. A phase I trial evaluating non-viral Sleeping Beauty transposon-based CAR-T cells targeting CD19 in heavily pretreated patients with R/R B-cell hematologic malignancies, including ALL, DLBCL, and CLL, reported detectable CAR expression and an encouraging safety profile, supporting the feasibility of extending this strategy to solid tumors [203]. Compared to the traditional viral vector-based CAR-T cell therapies, which, despite their efficacy in hematologic malignancies, often result in random integration and variable CAR expression, precise integration technologies, such as CRISPR-Cas9 and transposon systems offer consistent CAR expression and improved safety. These attributes are particularly critical for solid tumors, where long-term CAR-T cell persistence is essential to overcome tumor heterogeneity and the immunosuppressive TME (Table 5).
Table 5.
Clinical trials highlighting precise genomic integration strategies in CAR-T Cell therapy for solid tumors
| Trial ID | Target | Tumor type | Strategy | Key findings | Status |
|---|---|---|---|---|---|
| NCT03545815 | Mesothelin | Mesothelin-positive solid tumors | CRISPR-Cas9-mediated PD-1 disruption | No dose-limiting toxicities; 2 of 15 patients achieved stable disease | Completed [204] |
| NCT03399448 | NY-ESO-1 | Sarcomas, MM, melanoma | CRISPR-edited CAR-T cells | Manageable safety profile; preliminary efficacy signals | Recruiting [205] |
| NCT03970382 | Neoantigens | Advanced solid tumors | CRISPR-Cas9 | Treatment was generally well-tolerated. No off-target effects from CRISPR-Cas9 editing were observed | Ongoing (Phase 1) [206] |
| NCT03545815 | Mesothelin (with PD-1 KO) | Mesothelin-positive solid tumors | CRISPR-Cas9 | Treatment was well-tolerated and safe, but efficacy was modest. Optimizations are needed to improve persistence and activity | Completed (Phase 1) [204] |
| NCT05239143 | MUC1-C | Advanced epithelial-derived solid tumors | Cas-CLOVER (CRISPR variant) | Allogeneic CAR-T with precise knockouts to minimize alloreactivity; CAR integrated via non-viral transposon, but edits enable stable expression. Preliminary efficacy: partial response in breast cancer at 0.75 × 106 cells/kg; no bridging therapy, median 9-day enrollment-to-treatment | Recruiting (Phase 1) [207] |
| NCT04510051 | IL13Rα2 | Pediatric brain tumors | Enhanced genomic stability | Improved persistence; early signs of tumor control | Recruiting [208] |
| NCT01822652 | GD2 | Neuroblastoma | iCasp9 safety switch | Rapid CAR-T elimination feasible | Recruiting [137] |
In vivo generation of CAR-T cells, which involves the direct delivery of CAR genes into a patient’s T cells within the body, eliminates the need for ex vivo manipulation. This innovative methodology has the potential to streamline manufacturing processes, reduce associated costs, and enhance clinical outcomes, particularly for solid tumors—representing a fundamental advancement in immunotherapy. For instance, Zhou et al. [130] engineered an LNP system conjugated with CD3 antibodies to target selectively T cells in vivo, enabling the delivery of a plasmid encoding a CD19-sepcific CAR along with an IL-6 short hairpin RNA. In a murine leukemia model, this strategy demonstrated antitumor effects comparable to that of ex vivo-generated CAR-T cells, with transgene expression persisting for up to 90 days and a marked reduction in CRS [130]. Although primarily applied to hematologic malignancies, the modularity of the LNP platform permits straightforward adaption to target solid tumor antigens, such as HER2 or EGFR, by altering the CAR construct, broadening its applicability to solid tumor immunotherapies. A recent study described an in vivo engineering strategy using targeted LNP (tLNP) for mRNA delivery to specific T cell populations [132]. These tLNP effectively reprogrammed CD8+ T cells from healthy donors and patients with autoimmune disorders, leading to tumor suppression in humanized mouse models and B cell depletion in cynomolgus monkeys. Notably, the repopulated B cells following depletion were predominantly naïve, indicating a potential immune system reset that may support durable antitumor responses in solid tumors [132]. By providing a scalable and rapidly deployable framework, this tLNP-based approach has the potential to reshape fundamentally CAR-T applications in solid malignancies. Notably, CAR-T cells generated in vivo may exhibit enhanced persistence and functionality within the TME, avoiding the exhaustion commonly associated with ex vivo expansion [133]. These in vivo CAR-T platforms are now advancing into clinical trials, representing a pivotal step toward clinical translation [131]. Further insights have emerged from the in vivo engineering of other CAR-expressing immune cells. For instance, Kang et al. [209] used DNA/polymer nanocomplexes to introduce CAR and IFN-γ genes into macrophages in vivo, generating CAR-M1 macrophages with potent antitumor activity in a murine breast cancer model. Although clinical trials for in vivo CAR-T cell therapy in solid tumors are in early stages, the field is advancing rapidly. A phase 1 trial (NCT01897415) evaluated mRNA-engineered autologous T cells targeting mesothelin in pancreatic cancer, demonstrating feasibility, safety, and preliminary evidence of tumor response. In addition, a recent report emphasized ongoing efforts to initiate clinical trials for in vivo CAR-T therapies targeting solid tumor antigens, such as EGFR and HER2; however, specific trial identifiers were not disclosed [210]. Despite these advancements, several challenges persist. Precise delivery to T cells is essential to prevent off-target effects, as non-specific transfection may lead to unintended CAR expression in other cell types, increasing toxicity risks in solid tumors. Moreover, sustaining long-term CAR expression and function in the hostile TME remains difficult, necessitating optimization of CAR designs and delivery systems. To address these limitations, strategies, such as logic-gated CARs, suicide genes (iCasp9), and small-molecule switch systems, are under investigation [211, 212].
Local administration, such as direct injection into tumors or resection cavities, has demonstrated promise in addressing these challenges [213]. Recent advancements in biomaterials and nanotechnology have introduced innovative strategies to enhance CAR-T cell delivery, expansion, and efficacy, supported by encouraging preclinical and early clinical data. Biomaterial scaffolds, designed to mimic lymphoid architecture, offer a particularly effective platform for enhancing CAR-T cell function at the tumor site. Constructed from biocompatible polymers, such as poly (lactic-co-glycolic acid), these scaffolds are functionalized with stimulatory antibodies, such as anti-CD3 and anti-CD28, and cytokines, such as IL-7 and IL-15, to promote localized CAR-T cell proliferation and activation. A recent study demonstrated a 50-fold expansion of CAR-T cells in vitro and a 15-fold expansion in vivo within a cervical tumor model, with scaffold-mediated activity sustained for up to 30 days and associated with minimal toxicity. Notably, this strategy outperformed conventional systemic CAR-T cell administration in suppressing tumor growth [214]. In parallel, nanotechnology offers versatile tools for the in vivo generation and modulation of CAR-T cells, particularly via mRNA-LNPs [215]. Beyond direct cellular engineering, nanoparticles can modulate the TME by selectively targeting immunosuppressive components, such as tumor-associated macrophages and MDSCs. In one approach, nanoparticles loaded with all-trans retinoic acid have been shown to reduce MDSC-mediated immunosuppression, enhancing CAR-T cell efficacy [216]. Furthermore, for tumors located behind physiological barriers, such as the blood–brain barrier (BBB), nanoparticles modified with targeting ligands, such as transferrin or TAT peptides, have facilitated improved CAR-T cell trafficking, as demonstrated in preclinical brain tumor models [216]. Recent clinical trials emphasize the potential of advanced delivery systems. The phase I trial (NCT04196413) evaluating GD2-targeted CAR-T cells for H3K27M-mutated DMG, administered intravenously and intraventricularly, reported major tumor reductions in 4 of 11 patients, including one complete response lasting over 30 months. No dose-limiting toxicities were observed at the lower dose [217]. In gastrointestinal cancers, satri-cel (CT041), targeting CLDN18.2, achieved a 38.8% ORR and a 91.8% DCR among 98 patients in the phase I trial CT041-CG4006 (NCT03874897), with no treatment-related deaths [53]. In the phase I/II trial CT041-ST-01 (NCT04581473) for gastric and gastroesophageal junction cancers, treatment was associated with significant improvements in progression-free survival, leading to FDA Regenerative Medicine Advanced Therapy designation in 2022 [51]. In metastatic colorectal cancer, GCC19CART (NCT04981119) achieved an 80% ORR at dose level 2, including one pathological complete response. In addition, in a phase 1 trial (NCT03089203) for prostate cancer, a PSMA-targeted, TGF-β-insensitive armored CAR-T construct demonstrated sustained persistence, with CAR-T cells detectable in peripheral blood beyond 200 days in some patients and metastatic biopsy samples in 7 of 9 cases. Treatment induced prostate-specific antigen declines of ≥ 30% in 4 out of 13 infused patients (approximately 31%) were detected. However, the safety profile included CRS in 5 of 13 patients—mostly grade 2–3 events that were reversible with treatment—and one treatment-related death due to grade 4 CRS complications [218]. These trials emphasize the transformative potential of targeted CAR-T delivery in solid tumors.
Artificial intelligence (AI) is revolutionizing CAR-T cell therapy for solid tumors by facilitating the discovery of novel antigenic targets. Leveraging machine learning and deep learning algorithms, AI enables the analysis of extensive genomic and proteomic datasets to identify tumor-specific antigens and neoantigens suitable for CAR-T cell targeting. This approach addresses key challenges, such as antigenic heterogeneity and off-tumor toxicity, by prioritizing targets with high tumor specificity, improving the safety and efficacy of CAR-T therapies in solid malignancies. For instance, neural networks have been used to screen a library of over 2,300 synthetic costimulatory domains, identifying optimal candidates for neoantigen targeting in solid tumor models [219]. Deep learning architectures, such as RCMNet, have achieved a top-1 accuracy of 99.63% in identifying CAR-T cells, supporting the development of personalized treatment strategies [220]. AI-driven platforms, such as CAR-Toner, further refine CAR-T functionality by optimizing antigen-binding specificity and affinity [221]. In parallel, AI-driven CRISPR screens have identified genetic targets to enhance T cell persistence and function in hostile TME, such as those in pancreatic cancer [222]. Although clinical trials directly using AI-selected antigens are emerging, recent studies reflect AI’s indirect yet significant impact. A phase I trial targeting B7-H3 in DMG reported a median OS of 19.8 months—notably exceeding historical controls of 11.2 months [7]. Similarly, GD2-targeted CAR-T cells demonstrated a 63% ORR in neuroblastoma (NCT03373097) [223]. These promising outcomes, supported by AI-enabled antigen discovery, emphasize the potential for broader clinical translation [223]. Ongoing trials, such as those targeting NKG2DL (NCT04550663) in multiple solid tumor types, further emphasize continued progress in antigen-specific CAR-T cell therapies [224].
Recent clinical trials emphasize the potential of precise genomic engineering in advancing CAR-T cell therapy for solid tumors. A phase I/II trial (NCT02414269) combining anti-mesothelin CAR-T cells with pembrolizumab in patients with malignant pleural mesothelioma reported an 83% 1-year OS rate, with 8 of 18 patients achieving stable disease lasting > 6 months and 2 experiencing complete metabolic responses [135]. In addition, a phase I trial (NCT04510051) evaluating IL13Rα2-targeted CAR-T cells engineered for enhanced genomic stability in pediatric brain tumors demonstrated improved persistence within the CNS TME, accompanied by early signs of tumor control [208] (Table 6).
Table 6.
Recent clinical trials of CAR-T cell therapy for solid tumors
| Study | Target | Tumor type | Key findings | Status |
|---|---|---|---|---|
| Mackall et al., 2024 | GD2 | DMGs | Tumor reduction in 7 of 9 patients; median OS ~ 2 years; one complete response | Completed [217] |
| Brown et al., 2024 | B7-H3 | DIPG | Median survival 19.8 months; 15 of 18 patients with stable disease; one partial response | Completed (specific to Arm C for DIPG; other arms ongoing) [225] |
| Qi et al., 2023 | CLDN18.2 | Gastric cancer | ORR 57.1%; DCR 75%; 6-month OS 81.2% | Active, not recruiting [52] |
| Zhang et al., 2023 | CD133 | Pancreatic cancer | 1 PR, 3 SD, 2 PD in 7 patients | Completed [226] |
Memory CAR-T cells: The next frontier
Recent advances in CAR-T cell therapy have emphasized the enhancement of memory-T-cell functionality, which is essential for long-term immune surveillance and durable antitumor responses. Memory T cells, a distinct subset that persists following antigen exposure, possess the capacity to elicit potent immune responses rapidly on subsequent antigen encounters. In CAR-T therapy, the presence of memory T cells is particularly critical for sustaining antitumor immunity, especially in solid tumors where ongoing immune vigilance is necessary to prevent disease recurrence. Among these, TCM) and TSCM CAR-T cells have garnered attention due to their superior self-renewal capacity, extended persistence, and sustained effector function compared to terminally differentiated T-cell subsets [145, 227–229]. Preclinical and clinical studies have demonstrated that memory-enriched CAR-T cell populations are capable of long-term persistence and robust recall responses upon reexposure to tumor antigens, establishing a continuous immunological defense against tumor relapse [230–232]. In preclinical models, memory CAR-T cells have demonstrated superior antitumor efficacy in solid tumors [6, 118]. Their enhanced proliferative capacity and persistence within the host contribute to sustained tumor eradication and improved adaptability within the complex TME, which frequently impairs effector T cell function. Notably, memory CAR-T cells maintain cytokine production and cytotoxic activity even under immunosuppressive conditions that lead to rapid dysfunction of conventional CAR-T cells [233–235]. This functional resilience is particularly advantageous in solid tumors, where antigen expression is often heterogeneous and dynamic, influenced by tumor evolution and therapy-induced selective pressures. Furthermore, generation of memory CAR-T cells can be significantly improved through optimization of ex vivo culture conditions, enhancing their therapeutic potential.
Strategies to generate memory-enriched CAR-T cells have focused on optimizing ex vivo culture protocols. Strategies such as modulating activation strength, fine-tuning intracellular signaling pathways, and supplementing cultures with cytokines like IL-7 and IL-15, have preserved memory-like phenotypes, enhancing the longevity and functional fitness of the final CAR-T cell product [232, 236]. These approaches promote sustained persistence and mitigate T-cell exhaustion, enhancing therapeutic durability in preclinical models of solid tumors. Recent innovations have further advanced these strategies through genetic modifications. For instance, engineering CAR-T cells to secrete IL-15 or express membrane-bound IL-12 enhances memory-like phenotypes and boosts antitumor activity in ovarian and lung cancer models [237, 238]. Similarly, inducible IL-18 expression has demonstrated robust tumor control and prolonged survival in pancreatic and SCLC models targeting DLL3. Reinforcing these preclinical observations, recent clinical advances highlight the promise of IL-15–secreting CAR-T cells, which have demonstrated potential in countering TME-mediated immunosuppression in lung cancer models and sustaining prolonged T-cell activation (NCT05620342) [239]. In addition, CRISPR-Cas9 gene editing has been used to delete inhibitory regulators, such as TET2, RASA2, and REGNASE-1, or to overexpress transcription factors like c-Jun, improving CAR-T cell persistence and effector function [240]. Moreover, genetic modifications targeting FOXO1 have been used to boost stemness and metabolic fitness, while metabolic interventions modulating proline metabolism further optimize CAR-T cell function in the TME [241–244]. Moreover, incorporation of costimulatory domains, such as 4-1BB, promotes differentiation toward TCM, while logic-gated CARs improve specificity by requiring multiple antigenic signals for activation, reducing off-target effects [121, 245]. A particularly transformative strategy involves combining CAR-T cell therapy with mRNA vaccines to promote memory T cell phenotypes, leveraging epitope spreading to elicit broader immune responses and improve disease control in refractory solid tumors [6]. These advancements, including cytokine optimization and mRNA vaccine integration, enhance CAR-T cell persistence in immunosuppressive environments, offering a promising avenue to overcome key barriers in solid tumor treatment [6, 246]. Collectively, these strategies are aimed at addressing the challenge posed by the immunosuppressive TME and antigen heterogeneity, and enhancing the durability and efficacy of CAR-T cells in solid tumors. However, the extended persistence of memory-enriched CAR-T cells raises important safety concerns. Prolonged survival increases the risk of off-tumor toxicities, particularly in healthy tissues expressing low levels of the targeted antigen. To mitigate these risks, novel safety switches and regulatable CAR expression systems are under active development, enabling clinicians to modulate CAR-T cell activity post-infusion [247–249]. These safety mechanisms are critical to preserving the therapeutic index of memory-enriched CAR-T cells, balancing potent antitumor efficacy with patient safety (Table 7).
Table 7.
Recent advances in memory CAR-T cell therapy for solid tumors: Innovations and challenges
| Strategy | Description | Advantages | Challenges | References |
|---|---|---|---|---|
| Naïve/stem memory T cell engineering | Using naive/stem memory T cells (TN/SCM) for CAR-T production to enhance persistence and reduce exhaustion | Improves antitumor activity and reduces side effects like cytokine release syndrome | Requires specialized manufacturing processes to isolate and expand TN/SCM cells | [232] |
| FOXO1 modulation | Genetic modification to regulate FOXO1 expression for enhanced memory programming | Boosts stemness, metabolic fitness, and overall efficacy of CAR-T cells | Balancing FOXO1 levels is critical; efficacy may be context-dependent | [241, 242] |
| Metabolic interventions | Modulating metabolic pathways (proline metabolism) to enhance CAR-T cell function in the TME | Improves immunomodulatory effects and mitochondrial capacity, enhancing efficacy | Complex metabolic interactions; potential off-target effects on healthy cells | [243, 244] |
| 4-1BB costimulatory domain | Incorporating 4-1BB in CAR design to promote differentiation towards TCM | Enhances long-term persistence and self-renewal capacity of CAR-T cells | May have different efficacy profiles compared to CD28; requires optimization | [245] |
| Logic-gated CAR-T Cells | Dual-targeting CAR-T cells with AND-gate logic to ensure activation only when multiple tumor antigens are present | Reduces off-target toxicity and addresses antigen heterogeneity in solid tumors | Complex design and manufacturing; efficacy may be reduced if antigens are not co-expressed | [121] |
| Combination with vaccines | Combining CAR-T therapy with mRNA vaccines promotes CAR-T cell maturation into a memory phenotype | Enhances disease control in refractory tumors; leverages epitope spreading for broader immune response | Requires careful monitoring for safety; potential for increased toxicity | [6] |
| Clinical trials (memory-enriched CAR-T): NCT04510051 | Trials using memory-enriched CAR-T cells for solid tumors, such as pediatric brain tumors (City of Hope trials) | Improved persistence and efficacy in challenging environments like brain tumors; potential for long-term remissions | Safety concerns with long-term persistence; need for specialized delivery methods (intraventricular) | [208] |
Clinical translation of memory-enriched CAR-T cells is actively progressing, with several early phase clinical trials yielding promising preliminary results. Notable ongoing studies include the following (Table 8). Across studies, three cross‑cutting patterns are notable. First, locoregional CNS delivery (e.g., intraventricular administration) is repeatedly used to improve persistence and disease control in pediatric brain tumors and gliomas [7, 143, 208]. Second, platforms that promote TSCM/TCM differentiation or incorporate 4‑1BB costimulation are prioritized to extend durability [144, 250, 251]. Third, vaccine‑augmented approaches (e.g., CLDN6 CAR‑T plus an amplifying mRNA vaccine) are being tested to amplify in‑vivo expansion without changing the safety profile [252]. Additional CNS programs using intraventricular HER2 CAR‑T report safety and CSF persistence consistent with a memory‑skewed phenotype [253]. Collectively, these programs aim to convert the biological advantages of memory subsets into clinically relevant persistence and function under solid‑tumor TME pressure.
Table 8.
Clinical trials evaluating memory CAR-T cell therapy for solid tumors (as of May 2025)
| Trial name/ID | Target | Phase/Route/Design cue | Status | Key findings (concise) | References |
|---|---|---|---|---|---|
| City of Hope IRB #19,130 | IL13Rα2 | Phase I; route not specified in text; memory-enriched product | Ongoing | Improved persistence; early signs of efficacy in a CNS setting | [143] |
| NCT04510051 | IL13Rα2 | Phase I; ICV; pediatric CNS | Ongoing | Preliminary evidence of re-awakening endogenous T-cell immunity; CNS-localized activity | [208] |
| BNT211-01 (Phase I/II mRNA vaccine trial) | CLDN6 | Phase I/II; (route not specified in text); i.v. CAR-T + amplifying mRNA vaccine | Ongoing | Encouraging disease control with no new safety liabilities | [252] |
| NCT02765243 | GD2 | Phase I; route not specified in text; 4th-gen/4-1BB | Completed | Median OS 25 months; minimal toxicities; supports memory differentiation | [258] |
| NCT03696030 | HER2 | Phase I; ICV; recurrent brain or leptomeningeal metastases | Ongoing | Safety and CSF persistence; memory-enriched populations show enhanced functionality | [253] |
Consistent with these principles, our preclinical studies in MM provide empirically grounded strategies with translational relevance. We engineered anti-BCMA CAR-modified marrow-infiltrating lymphocytes (CAR-MILs) featuring dual-epitope binding, attaining a transduction efficiency of 34% and > 100-fold cellular expansion over 21 days. These constructs were enriched for CD8+ TCM (80%) and expressed low levels of exhaustion markers, such as TIGIT, TIM3, and CD73. Functionally, these CAR-MILs exhibited potent cytotoxicity against MM cell lines (RPMI8226 and U266), as well as autologous CD138+ primary cells [254, 255]. In vivo, BCMA CAR-MILs significantly suppressed tumor progression and prolonged survival in myeloma-bearing mice. This antitumor activity was associated with robust infiltration of CD8+ BCMA CAR-T cells at tumor sites and retention of memory phenotypes [255]. This evidence emphasizes the critical role of memory-enriched T-cell subsets in achieving sustained antitumor effects, offering a blueprint for countering antigen heterogeneity and TME suppression in solid tumors. Complementary investigations into non-engineered immune cells, such as dendritic cells (DCs) and natural killer (NK) cells, further emphasize the potential to augment immune activation and cytotoxicity in immunosuppressive milieus across MM and solid tumors [256, 257]. For instance, DC-based vaccines have demonstrated the capacity to potentiate endogenous T-cell responses, potentially synergizing with CAR-T therapy to dismantle TME barriers [36]. Likewise, NK cells—owing to their capacity for antigen-independent cytotoxicity—can target antigen-low tumor variants, enhancing the breadth and efficacy of CAR-T cell therapies in heterogeneous malignancies [33]. These findings support an integrative therapeutic paradigm that combines CAR-T cells with DC and NK-based therapies to enhance overall immune orchestration. Drawing on our MM studies, we proposed a tripartite framework for advancing CAR-T efficacy in solid tumors: prioritizing memory-enriched T-cell subsets to ensure long-term persistence, implementation of multi-antigen targeting strategies to mitigate antigen escape, and incorporation of combinatorial regimens with non-engineered immune cells to remodel the immunosuppressive TME. This approach, substantiated by rigorous preclinical studies, equips CAR-T therapy to advance to the forefront of next-generation cancer immunotherapy, where adaptive and innate immune arms converge to dismantle the most entrenched tumor defenses. However, the application of these strategies in solid tumors remains constrained by the highly suppressive nature of the TME, as emphasized in recent 2025 reviews [34].
Collectively, the strategies outlined in this section emphasize the rapid and multifaceted advancements in CAR-T cell therapy for solid tumors. Approaches, such as multi-antigen targeting, modulation of the TME, incorporation of safety features, and engineering for memory phenotypes, address key therapeutic barriers, paving the way for more durable and effective interventions. The integration of these innovations into personalized combination therapies tailored to individual tumor profiles is anticipated to enhance therapeutic precision. Moreover, emerging technologies, including AI for optimizing CAR design and patient-derived organoid platforms for preclinical testing, are accelerating progress by refining preclinical modeling and enabling personalized treatment refinement [104]. As research advances through 2025 and beyond, memory-enriched CAR-T cells and other innovative strategies hold significant promise for transforming the treatment landscape of solid tumors, and offering durable remissions and improved clinical outcomes for patients with otherwise refractory malignancies.
Translational and regulatory considerations
Realizing the full potential of advanced CAR-T cell strategies requires addressing significant manufacturing and regulatory challenges. The engineering of dual-receptor T cells or logic-gated CARs necessitates scalable and cost-effective production methods. For instance, generating CAR-T cells with multiple genetic modifications involves advanced gene-editing technologies, such as CRISPR-Cas9, and optimized culture conditions—both of which are resource-intensive and technically demanding [259]. To overcome these barriers, recent innovations in automated CAR-T manufacturing platforms have shown promise in streamlining production, lowering costs, and improving accessibility [259]. Furthermore, the distinctive safety and efficacy profiles of next-generation CAR-T therapies necessitate the evolution of regulatory frameworks originally designed for simpler biologics. Current guidelines may be insufficient to address fully the intricacies of living cell therapies, emphasizing the need for tailored regulatory adaptations that prioritize long-term safety surveillance and patient-specific protocols [260]. Regulatory agencies, such as the FDA, are actively working to develop new pathways and guidance to accommodate these emerging technologies, as reflected in recent updates for cellular and gene therapies [260]. Collaborative efforts among academic institutions, biotechnology companies, clinicians, and regulatory authorities are essential for navigating these challenges. Such partnerships have been instrumental in the success of CAR-T therapies for hematologic malignancies and are now pivotal for advancing preclinical findings into clinical practice for solid tumors [261]. As these multidisciplinary initiatives continue to mature, they are poised to deliver safe, effective, and accessible CAR-T treatments for patients with solid malignancies.
Conclusion
The unprecedented success of CAR-T cell therapy in hematologic malignancies has emphasized its transformative potential in cancer treatment. However, extending this efficacy to solid tumors remains a formidable challenge due to the complex TME, antigen heterogeneity, and the elevated risk of off-tumor toxicity. To overcome these barriers, a new generation of CAR-T strategies is under active development. Multi-antigen targeting platforms, such as dual and tandem CAR constructs, enhance specificity and mitigate immune escape. Armored CAR-T cells, engineered to secrete immunostimulatory cytokines and used in combination with immune checkpoint inhibitors, offer a means to remodel the immunosuppressive tumor milieu. Innovations in T-cell trafficking, such as chemokine receptor engineering and regional delivery techniques, are enhancing tumor infiltration. Logic-gated CAR constructs and inducible suicide switches are being incorporated to enhance safety profiles. Integrative approaches combining CAR-T therapy with adjunctive modalities, such as oncolytic viruses or radiotherapy, exhibit synergistic potential to augment antitumor efficacy. Preliminary preclinical and clinical data support the biological plausibility and clinical feasibility of these innovations, with preliminary findings from trials, such as GD2/B7-H3, emphasizing the practicality of overcoming key translational barriers (Table 4).
Despite persistent challenges in manufacturing, scalability, and regulatory oversight, the pace of progress in CAR-T research for solid tumors is accelerating rapidly. Breakthroughs in precise genomic integration, such as CRISPR-Cas9 and non-viral delivery methods, offer a promising direction for the field by enabling targeted and stable CAR expression with enhanced safety profiles. In parallel, transient CAR expression via mRNA electroporation provides a safe alternative for short-term applications. The emerging field of in vivo CAR-T cell generation has progressed significantly. A 2025 study demonstrated effective tumor control in humanized mouse models and immune modulation in non-human primates using tLNPs [132]. Moreover, ongoing clinical trials investigating mRNA-based in vivo CAR-T for pancreatic cancer hold promise for simplifying manufacturing, reducing costs, and enhancing therapeutic outcomes (NCT04404595) [52].
To advance CAR-T therapy in solid tumors, key priorities include the identification of tumor-specific antigens to mitigate off-tumor toxicity. Computational platforms, such as IRIS, which leverage alternative splicing, show substantial promise [262]. Enhancing CAR-T cell persistence and function in the TME is critical and is being pursued through cytokine-armored constructs that secrete IL-12 or protease-regulated systems, such as VIPER CARs, equipped with safety switches, both of which have demonstrated efficacy in preclinical models [263, 264]. Addressing tumor heterogeneity requires multi-antigen strategies, including dual-target or tandem CARs, to target diverse malignant cell populations [113]. The development of allogeneic CAR-T constructs may further expand access by minimizing the logistical and manufacturing challenges of autologous cell therapy [265]. Finally, combination therapies, such as CAR-T cells co-administered with immune checkpoint inhibitors (anti-PD-1), offer the potential to enhance therapeutic efficacy by counteracting TME-induced immunosuppression [136]. Clinical trials targeting antigens, such as EGFR, HER2, and mesothelin, have demonstrated partial responses with manageable toxicity profiles, supporting their clinical feasibility [113, 265]. Moving forward, sustained investment in preclinical models that recapitulate the complexity of solid tumors and clinical trials evaluating these innovative strategies will be pivotal for their successful translation into clinical practice.
Sustained investment in physiologically relevant preclinical models and well-designed clinical trials will be pivotal in translating these advancements into clinical practice. Through interdisciplinary innovation, personalized cellular engineering, and clinical optimization, effective CAR-T therapies for solid tumors are rapidly transitioning from aspirational concepts to imminent reality. Building on the successes achieved in hematologic malignancies, this alignment of biological insight and technological advancement signals a new era in oncology, where even treatment-refractory solid tumors, such as lung, breast, and pancreatic cancers, may become amenable to durable immunotherapeutic control.
Acknowledgements
Not applicable.
Abbreviations
- AI
Artificial intelligence
- 4-1BB
4-1BB (CD137, a costimulatory molecule)
- AND-gate logic
A genetic-engineering design requiring recognition of multiple antigens for activation
- B7-H3
B7 homolog 3 (also known as CD276)
- B-ALL
B-cell precursor acute lymphoblastic leukemia
- BCMA
B-cell maturation antigen
- BiTE
Bispecific T-cell engager
- CAR-T
Chimeric antigen receptor T cell
- CD22
Cluster of differentiation 22
- CD70
Cluster of differentiation 70
- CEA
Carcinoembryonic antigen
- CI
Confidence interval
- CLDN-6
Claudin-6
- CNS
Central nervous system
- CR
Complete remission
- CRS
Cytokine release syndrome
- CXCR2
C-X-C motif chemokine receptor 2
- DLL3
Delta-like ligand 3
- DIPG
Diffuse intrinsic pontine glioma
- DCR
Disease control rate
- DMG
Diffuse midline glioma
- DOR
Duration of response
- ECM
Extracellular matrix
- EGFR
Epidermal growth factor receptor
- EGFRvIII
Epidermal growth factor receptor variant III
- FDA
Food and drug administration
- FOXO1
Forkhead box O1
- GD2
Ganglioside GD2
- HER2
Human epidermal growth factor receptor 2
- ICANS
Immune effector cell-associated neurotoxicity syndrome
- iCasp9
Inducible caspase 9
- IL
Interleukin
- IL-13Rα2
Interleukin-13 receptor alpha 2
- IRB
Institutional review board
- ICV
Intraventricular
- LNP
Lipid nanoparticle
- MM
Multiple myeloma
- MCL
Mantle cell lymphoma
- MDSCs
Myeloid-derived suppressor cells
- mRNA
Messenger ribonucleic acid
- MUC1
Mucin 1
- OR
Overall response
- ORR
Overall response rate
- OS
Overall survival
- PD-1
Programmed cell death protein 1
- PD-L1
Programmed death-ligand 1
- PSCA
Prostate stem cell antigen
- PSMA
Prostate-specific membrane antigen
- R/R LBCL
Relapsed or refractory large B-cell lymphoma
- R/R SCLC
Relapsed or refractory small cell lung cancer
- RR
Relapsed or refractory
- SynNotch
Synthetic notch receptor
- TAA
Tumor-associated antigen
- TGF-β
Transforming growth factor-beta
- TCM
Central memory T cells
- TILs
Tumor-infiltrating lymphocytes
- tLNP
Targeted LNP
- TME
Tumor microenvironment
- TN/SCM
Naïve/stem cell memory T cells
- TSCM
T memory stem cell
- TCRs
Transgenic T cell receptors
Author contributions
MCV, JJL, SKK, and SHJ conceptualized and supervised the work. MCV, VDHT, NR, DTT, and VTN collated the literature, wrote the manuscript, and created the figures. All authors have read and approved the final manuscript.
Funding
This research was supported by the Korea Drug Development Fund, funded by the Ministry of Science and ICT, the Ministry of Trade, Industry, and Energy, and the Ministry of Health and Welfare (Grant No. RS-2024-00341192, Republic of Korea). Additional support was provided by the National Research Foundation of Korea (NRF) through a grant funded by the Ministry of Science and ICT (Grant No. RS-2023-00207920). Furthermore, this work was supported by the Commercialization Promotion Agency for R&D Outcomes (COMPA), funded by the Ministry of Science and ICT (Grant No. RS-2025-25430866).
Data availability
No datasets were generated or analyzed during the current study.
Declarations
Ethics approval and consent to participate
Not applicable.
Consent for publication
The manuscript has not been previously published and is not under consideration elsewhere. All authors have reviewed the final version and consent to publication.
Use of AI
No artificial intelligence tools were used in the preparation or editing of this manuscript.
Competing interests
The authors declare no competing interests.
Footnotes
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Sung-Hoon Jung, Email: shglory@hanmail.net.
Je-Jung Lee, Email: drjejung@chonnam.ac.kr.
References
- 1.Vo MC, Jung SH, Nguyen VT, Tran VD, Ruzimurodov N, et al. Exploring cellular immunotherapy platforms in multiple myeloma. Heliyon. 2024;10(6):e27892. 10.1016/j.heliyon.2024.e27892. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Sheykhhasan M, Ahmadieh-Yazdi A, Vicidomini R, Zang L, Li D, et al. CAR T therapies in multiple myeloma: Unleashing the future. Cancer Gene Ther. 2024;31:667–86. 10.1038/s41417-024-00750-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Liu B, Zhou H, Tan L, Siu KT, Guan XY. Exploring treatment options in cancer: tumor treatment strategies. Sig Transduct Target Ther. 2024;9:175. 10.1038/s41392-024-01856-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.U.S. Food and Drug Administration. FDA approves tisagenlecleucel for B-cell ALL and tocilizumab for cytokine release syndrome. https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-tisagenlecleucel-b-cell-all-and-tocilizumab-cytokine-release-syndrome.
- 5.Cappell KM, Kochenderfer JN. Long-term outcomes following CAR T cell therapy: what we know so far. Nat Rev Clin Oncol. 2023;20(6):359–71. 10.1038/s41571-023-00754-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Peng L, Sferruzza G, Yang L, Zhou L, Chen S. CAR-T and CAR-NK as cellular cancer immunotherapy for solid tumors. Cell Mol Immunol. 2024;21(10):1089–108. 10.1038/s41423-024-01207-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Vitanza NA, Ronsley R, Choe M, Seidel K, Huang W, et al. Intracerebroventricular B7–H3-targeting CAR T cells for diffuse intrinsic pontine glioma: a phase 1 trial. Nat Med. 2025;31:861–8. 10.1038/s41591-024-03451-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Cowen L. Pivotal trial of CAR-T cell therapy shows promising results in gastric cancers. Inside Precision Medicine. Oncology. https://www.insideprecisionmedicine.com/topics/oncology/pivotal-trial-of-car-t-cell-therapy-shows-promising-results-in-gastric-cancers/.
- 9.Qi C, Liu C, Peng Z, Zhang Y, Wei J, et al. Claudin-18 isoform 2-specific CAR T-cell therapy (satri-cel) versus treatment of physician’s choice for previously treated advanced gastric or gastro-oesophageal junction cancer (CT041-ST-01): a randomised, open-label, phase 2 trial. Lancet. 2025;405(10494):2049–60. 10.1016/S0140-6736(25)00860-8. [DOI] [PubMed] [Google Scholar]
- 10.Bagley SJ, Liu M, Fraietta JA, Wang X, Desai AS, et al. Intrathecal bivalent CAR T cells targeting EGFR and IL13Rα2 in recurrent glioblastoma: Phase 1 trial interim results. Nat Med. 2024;30:1320–9. 10.1038/s41591-024-02893-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Raeke M. Dual-target CAR T cell therapy slows growth of aggressive brain cancer. https://www.pennmedicine.org/news/dual-target-car-t-cell-therapy-slows-growth-of-aggressive-brain-cancer.
- 12.Yang P, Li Z, Chen X, et al. Non-canonical small noncoding RNAs in the plasma extracellular vesicles as novel biomarkers in gastric cancer. J Hematol Oncol. 2025;18:39. 10.1186/s13045-025-01689-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.U.S. Food and Drug Administration. KYMRIAH. https://www.fda.gov/vaccines-blood-biologics/cellular-gene-therapy-products/kymriah.
- 14.Novartis, Kymriah® (tisagenlecleucel), first-in-class CAR-T therapy from Novartis, receives second FDA approval to treat appropriate r/r patients with large B-cell lymphoma. https://www.novartis.com/us-en/news/media-releases/kymriah-tisagenlecleucel-first-class-car-t-therapy-from-novartis-receives-second-fda-approval-treat-appropriate-rr-patients-large-B-cell-lymphoma.
- 15.U.S. Food and Drug Administration. FDA approves axicabtagene ciloleucel for large B-cell lymphoma. https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-axicabtagene-ciloleucel-large-b-cell-lymphoma.
- 16.Sharma P, Kasamon YL, Lin X, Xu Z, Theoret MR, et al. FDA approval summary: Axicabtagene ciloleucel for second-line treatment of large B-cell lymphoma. Clin Cancer Res. 2023;29(21):4331–7. 10.1158/1078-0432.CCR-23-0568. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.U.S. Food and Drug Administration. FDA approves brexucabtagene autoleucel for relapsed or refractory mantle cell lymphoma. https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-brexucabtagene-autoleucel-relapsed-or-refractory-mantle-cell-lymphoma.
- 18.National Cancer Institute. CAR T-Cell therapy approved by FDA for mantle cell lymphoma. https://www.cancer.gov/news-events/cancer-currents-blog/2020/fda-brexucabtagene-mantle-cell-lymphoma.
- 19.U.S. Food and Drug Administration. FDA approves lisocabtagene maraleucel for relapsed or refractory large B-cell lymphoma. https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-lisocabtagene-maraleucel-relapsed-or-refractory-large-b-cell-lymphoma.
- 20.Canadian Agency for Drugs and Technologies in Health. Lisocabtagene Maraleucel (Breyanzi). https://www.ncbi.nlm.nih.gov/books/NBK603593/?report=classic.
- 21.U.S. Food and Drug Administration. FDA approves idecabtagene vicleucel for multiple myeloma. https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-idecabtagene-vicleucel-multiple-myeloma.
- 22.Sharma P, Kanapuru B, George B, Lin X, Xu Z, et al. FDA approval summary: Idecabtagene vicleucel for relapsed or refractory multiple myeloma. Clin Cancer Res. 2022;28(9):1759–64. 10.1158/1078-0432.CCR-21-3803. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.U.S. Food and Drug Administration. CARVYKTI. https://www.fda.gov/vaccines-blood-biologics/cellular-gene-therapy-products/carvykti.
- 24.Chekol Abebe E, Yibeltal Shiferaw M, Tadele Admasu F, Asmamaw DT. Ciltacabtagene autoleucel: The second anti-BCMA CAR T-cell therapeutic armamentarium of relapsed or refractory multiple myeloma. Front Immunol. 2022;13:991092. 10.3389/fimmu.2022.991092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.U.S. Food and Drug Administration. FDA approves ciltacabtagene autoleucel for relapsed or refractory multiple myeloma. https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-ciltacabtagene-autoleucel-relapsed-or-refractory-multiple-myeloma.
- 26.National Cancer Institute. Carvykti approval marks second CAR T-Cell therapy for multiple myeloma. https://www.cancer.gov/news-events/cancer-currents-blog/2022/fda-carvykti-multiple-myeloma.
- 27.U.S. Food and Drug Administration. FDA approves obecabtagene autoleucel for adults with relapsed or refractory B-cell precursor acute lymphoblastic leukemia. https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-obecabtagene-autoleucel-adults-relapsed-or-refractory-b-cell-precursor-acute.
- 28.Lee A. Obecabtagene autoleucel: First approval. Mol Diagn Ther. 2025;29(3):419–23. 10.1007/s40291-025-00771-z. [DOI] [PubMed] [Google Scholar]
- 29.Pegram HJ, Smith EL, Rafiq S, Brentjens RJ. CAR therapy for hematological cancers: can success seen in the treatment of B-cell acute lymphoblastic leukemia be applied to other hematological malignancies? Immunotherapy. 2015;7(5):545–61. 10.2217/imt.15.6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Yu B, Jiang T, Liu D. BCMA-targeted immunotherapy for multiple myeloma. J Hematol Oncol. 2020;13(1):125. 10.1186/s13045-020-00962-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Korell F, Berger TR, Maus MV. Understanding CAR T cell-tumor interactions: paving the way for successful clinical outcomes. Med. 2022;3(8):538–64. 10.1016/j.medj.2022.05.001. [DOI] [PubMed] [Google Scholar]
- 32.National Cancer Institute. CAR T cells: Engineering patients’ immune cells to treat their cancers. https://www.cancer.gov/about-cancer/treatment/research/car-t-cells#:~:text=In%20contrast%20to%20the%20advances,them%20from%20reaching%20the%20tumor.
- 33.Flugel CL, Majzner RG, Krenciute G, Dotti G, Riddell SR, et al. Overcoming on-target, off-tumour toxicity of CAR T cell therapy for solid tumours. Nat Rev Clin Oncol. 2023;20:49–62. 10.1038/s41571-022-00704-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Hsu JL, Hung MC. The role of HER2, EGFR, and other receptor tyrosine kinases in breast cancer. Cancer Metastasis Rev. 2016;35:575–88. 10.1007/s10555-016-9649-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Zidan J, Dashkovsky I, Stayerman C, Basher W, Cozacov C, et al. Comparison of HER-2 overexpression in primary breast cancer and metastatic sites and its effect on biological targeting therapy of metastatic disease. Br J Cancer. 2005;93:552–6. 10.1038/sj.bjc.6602738. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Yang J, Yan J, Liu B. Targeting EGFRvIII for glioblastoma multiforme. Cancer Lett. 2017;403:224–30. 10.1016/j.canlet.2017.06.024. [DOI] [PubMed] [Google Scholar]
- 37.Liu Y, Zhou F, Ali H, Lathia JD, Chen P. Immunotherapy for glioblastoma: current state, challenges, and future perspectives. Cell Mol Immunol. 2024;21(12):1354–75. 10.1038/s41423-024-01226-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Lybaert L, Lefever S, Fant B, Smits E, De Geest B, et al. Challenges in neoantigen-directed therapeutics. Cancer Cell. 2023;41(1):15–40. 10.1016/j.ccell.2022.10.013. [DOI] [PubMed] [Google Scholar]
- 39.Li X, You J, Hong L, Liu W, Guo P, et al. Neoantigen cancer vaccines: A new star on the horizon. Cancer Biol Med. 2023;21(4):274–311. 10.20892/j.issn.2095-3941.2023.0395. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Xu X, Sun Q, Liang X, Chen Z, Zhang X, et al. Mechanisms of relapse after CD19 CAR T-cell therapy for acute lymphoblastic leukemia and its prevention and treatment strategies. Front Immunol. 2019;10:2664. 10.3389/fimmu.2019.02664. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Wagner J, Wickman E, DeRenzo C, Gottschalk S. CAR T cell therapy for solid tumors: bright future or dark reality? Mol Ther. 2020;28(11):2320–39. 10.1016/j.ymthe.2020.09.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Bagley SJ, Binder ZA, Lamrani L, Marinari E, Desai AS, et al. Repeated peripheral infusions of anti-EGFRvIII CAR T cells in combination with pembrolizumab show no efficacy in glioblastoma: a phase 1 trial. Nat Cancer. 2024;5:517–31. 10.1038/s43018-023-00709-6. [DOI] [PubMed] [Google Scholar]
- 43.Choi BD, Gerstner ER, Frigault MJ, Leick MB, Mount CW, et al. Intraventricular CARv3-TEAM-E T cells in recurrent glioblastoma. N Engl J Med. 2024;390(14):1290–8. 10.1056/NEJMoa2314390. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.O’Rourke DM, Nasrallah MP, Desai A, Melenhorst JJ, Mansfield K, et al. A single dose of peripherally infused EGFRvIII-directed CAR T cells mediates antigen loss and induces adaptive resistance in patients with recurrent glioblastoma. Sci Transl Med. 2017;9(399):eaaa0984. 10.1126/scitranslmed.aaa0984. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Goff SL, Morgan RA, Yang JC, Sherry RM, Robbins PF, et al. Pilot trial of adoptive transfer of chimeric antigen receptor-transduced T cells targeting EGFRvIII in patients with glioblastoma. J Immunother. 2019;42(4):126–35. 10.1097/CJI.0000000000000260. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Moghimi B, Muthugounder S, Jambon S, Tibbetts R, Hung L, et al. Preclinical assessment of the efficacy and specificity of GD2-B7H3 synnotch CAR-T in metastatic neuroblastoma. Nat Commun. 2021;12(1):511. 10.1038/s41467-020-20785-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Richman SA, Nunez-Cruz S, Moghimi B, Li LZ, Gershenson ZT, et al. High-affinity GD2-specific CAR T cells induce fatal encephalitis in a preclinical neuroblastoma model. Cancer Immunol Res. 2018;6(1):36–46. 10.1158/2326-6066.CIR-17-0211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Amara N, Palapattu GS, Schrage M, Gu Z, Thomas GV, et al. Prostate stem cell antigen is overexpressed in human transitional cell carcinoma. Cancer Res. 2001;61(12):4660–5 (PMID: 11406532). [PubMed] [Google Scholar]
- 49.Nayerpour Dizaj T, Doustmihan A, Sadeghzadeh Oskouei B, Akbari M, Jaymand M, et al. Significance of PSCA as a novel prognostic marker and therapeutic target for cancer. Cancer Cell Int. 2024;24(1):135. 10.1186/s12935-024-03320-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Qi C, Gong J, Li J, Liu D, Qin Y, et al. Intratumoral delivery of chimeric antigen receptor T cells targeting CD133 effectively treats brain metastases. Clin Cancer Res. 2024;30(3):554–63. 10.1158/1078-0432.CCR-23-1735. [DOI] [PubMed] [Google Scholar]
- 51.CARsgen Therapeutics Co., Ltd. Study to evaluate the efficacy, safety and pharmacokinetics of CT041 autologous CAR T-cell injection. ClinicalTrials.gov. Identifier: NCT04581473.
- 52.CARsgen Therapeutics Co., Ltd. Claudin18.2 CAR-T (CT041) in patients with gastric, pancreatic cancer, or other specified digestive cancers. ClinicalTrials.gov. identifier: NCT04404595.
- 53.University of Pennsylvania. Chimeric antigen receptor T cells targeting claudin18.2 in solid tumors. ClinicalTrials.gov. Identifier: NCT03874897.
- 54.Brown CE, Aguilar B, Starr R, Yang X, Chang WC, et al. Optimization of IL13Rα2-targeted chimeric antigen receptor T cells for improved anti-tumor efficacy against glioblastoma. Mol Ther. 2018;26(1):31–44. 10.1016/j.ymthe.2017.10.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Brown CE, Badie B, Barish ME, Weng L, Ostberg JR, et al. Bioactivity and safety of IL13Rα2-redirected chimeric antigen receptor CD8+ T cells in patients with recurrent glioblastoma. Clin Cancer Res. 2015;21(18):4062–72. 10.1158/1078-0432.CCR-15-0428. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Stern LA, Gholamin S, Moraga I, Yang X, Saravanakumar S, et al. Engineered IL13 variants direct specificity of IL13Rα2-targeted CAR T cell therapy. Proc Natl Acad Sci U S A. 2022;119(33):e2112006119. 10.1073/pnas.2112006119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Sorrento Biopharmaceuticals Ltd. Study of autologous T-cells in patients with metastatic pancreatic cancer. ClinicalTrials.gov. Identifier: NCT03638193.
- 58.University of Pennsylvania. Autologous redirected RNA meso CAR T cells for pancreatic cancer. ClinicalTrials.gov. Identifier: NCT01897415.
- 59.University of Pennsylvania. CAR T cell immunotherapy for pancreatic cancer. ClinicalTrials.gov. Identifier: NCT03323944.
- 60.Roger Williams Medical Center. CEA-expressing liver metastases safety study of intrahepatic infusions of anti-CEA designer T cells (HITM). ClinicalTrials.gov. Identifier: NCT01373047.
- 61.Southwest Hospital, China. A clinical research of CAR T cells targeting CEA positive cancer. ClinicalTrials.gov. Identifier: NCT02349724.
- 62.The First Affiliated Hospital of Guangdong Pharmaceutical University. Anti-MUC1 CAR T cells and PD-1 knockout engineered T cells for NSCLC. ClinicalTrials.gov. Identifier: NCT03525782.
- 63.Feng Y, Tang Q, Wang B, Yang Q, Zhang Y, et al. Targeting the tumor microenvironment with biomaterials for enhanced immunotherapeutic efficacy. J Nanobiotechnol. 2024;22(1):737. 10.1186/s12951-024-03005-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Anderson KG, Stromnes IM, Greenberg PD. Obstacles posed by the tumor microenvironment to T cell activity: a case for synergistic therapies. Cancer Cell. 2017;31(3):311–25. 10.1016/j.ccell.2017.02.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Guzman G, Reed MR, Bielamowicz K, Koss B, Rodriguez A. CAR-T therapies in solid tumors: Opportunities and challenges. Curr Oncol Rep. 2023;25(5):479–89. 10.1007/s11912-023-01380-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Sterner RC, Sterner RM. CAR-T cell therapy: Current limitations and potential strategies. Blood Cancer J. 2021;11(4):69. 10.1038/s41408-021-00459-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Yi M, Li T, Niu M, Zhang H, Wu Y, et al. Targeting cytokine and chemokine signaling pathways for cancer therapy. Signal Transduct Target Ther. 2024;9(1):176. 10.1038/s41392-024-01868-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Lin X, Kang K, Chen P, Zeng Z, Li G, et al. Regulatory mechanisms of PD-1/PD-L1 in cancers. Mol Cancer. 2024;23(1):108. 10.1186/s12943-024-02023-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Jiang Y, Chen M, Nie H, Yuan Y. PD-1 and PD-L1 in cancer immunotherapy: clinical implications and future considerations. Hum Vaccin Immunother. 2019;15(5):1111–22. 10.1080/21645515.2019.1571892. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Spranger S, Spaapen RM, Zha Y, Williams J, Meng Y, et al. Up-regulation of PD-L1, IDO, and T(regs) in the melanoma tumor microenvironment is driven by CD8(+) T cells. Sci Transl Med. 2013;5(200):200ra116. 10.1126/scitranslmed.3006504. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Schurich A, Magalhaes I, Mattsson J. Metabolic regulation of CAR T cell function by the hypoxic microenvironment in solid tumors. Immunotherapy. 2019;11(4):335–45. 10.2217/imt-2018-0141. [DOI] [PubMed] [Google Scholar]
- 72.Wu L, Jin Y, Zhao X, Tang K, Zhao Y, et al. Tumor aerobic glycolysis confers immune evasion through modulating sensitivity to T cell-mediated bystander killing via TNF-α. Cell Metab. 2023;35:1580–96. 10.1016/j.cmet.2023.07.001. [DOI] [PubMed] [Google Scholar]
- 73.Zhang H, Li S, Wang D, Liu S, Xiao T, et al. Metabolic reprogramming and immune evasion: the interplay in the tumor microenvironment. Biomark Res. 2024;12:96. 10.1186/s40364-024-00646-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Bader JE, Voss K, Rathmell JC. Targeting metabolism to improve the tumor microenvironment for cancer immunotherapy. Mol Cell. 2020;78(6):1019–33. 10.1016/j.molcel.2020.05.034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Brown CE, Rodriguez A, Palmer J, Ostberg JR, Naranjo A, et al. Off-the-shelf, steroid-resistant, IL13Rα2-specific CAR T cells for treatment of glioblastoma. Neuro Oncol. 2022;24(8):1318–30. 10.1093/neuonc/noac024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Cui J, Zhang Q, Song Q, Wang H, Dmitriev P, et al. Targeting hypoxia downstream signaling protein, CAIX, for CAR T-cell therapy against glioblastoma. Neuro Oncol. 2019;21(11):1436–46. 10.1093/neuonc/noz117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Seattle Children’s Hospital. EGFR806 CAR T cell immunotherapy for recurrent/refractory solid tumors in children and young adults. ClinicalTrials.gov. Identifier: NCT03618381.
- 78.Baylor College of Medicine. Her2 chimeric antigen receptor expressing T cells in advanced sarcoma. ClinicalTrials.gov. Identifier: NCT00902044.
- 79.Marusyk A, Janiszewska M, Polyak K. Intratumor heterogeneity: The rosetta stone of therapy resistance. Cancer Cell. 2020;37(4):471–84. 10.1016/j.ccell.2020.03.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Ai H, Song D, Wang X. Defining multiple layers of intratumor heterogeneity based on variations of perturbations in multi-omics profiling. Comput Biol Med. 2023;159:106964. 10.1016/j.compbiomed.2023.106964. [DOI] [PubMed] [Google Scholar]
- 81.McGranahan N, Swanton C. Biological and therapeutic impact of intratumor heterogeneity in cancer evolution. Cancer Cell. 2015;27(1):15–26. 10.1016/j.ccell.2014.12.001. [DOI] [PubMed] [Google Scholar]
- 82.McGranahan N, Swanton C. Clonal heterogeneity and tumor evolution: Past, present, and the future. Cell. 2017;168(4):613–28. 10.1016/j.cell.2017.01.018. [DOI] [PubMed] [Google Scholar]
- 83.Ramón Y Cajal S, Sesé M, Capdevila C, Aasen T, De Mattos-Arruda L, et al. Clinical implications of intratumor heterogeneity: challenges and opportunities. J Mol Med (Berl). 2020;98(2):161–77. 10.1007/s00109-020-01874-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Wolf Y, Samuels Y. Intratumor heterogeneity and antitumor immunity shape one another bidirectionally. Clin Cancer Res. 2022;28(14):2994–3001. 10.1158/1078-0432.CCR-21-1355. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Shah NN, Fry TJ. Mechanisms of resistance to CAR T cell therapy. Nat Rev Clin Oncol. 2019;16(6):372–85. 10.1038/s41571-019-0184-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Tuo Z, Zhang Y, Li D, Wang Y, Wu R, et al. Relationship between clonal evolution and drug resistance in bladder cancer: a genomic research review. Pharmacol Res. 2024;206:107302. 10.1016/j.phrs.2024.107302. [DOI] [PubMed] [Google Scholar]
- 87.Jamal-Hanjani M, Wilson GA, McGranahan N, Birkbak NJ, Watkins TBK, et al. Tracking the evolution of non-small-cell lung cancer. N Engl J Med. 2017;376:2109–21. 10.1056/NEJMoa1616288. [DOI] [PubMed] [Google Scholar]
- 88.Yates LR, Gerstung M, Knappskog S, Desmedt C, Gundem G, et al. Subclonal diversification of primary breast cancer revealed by multiregion sequencing. Nat Med. 2015;21(7):751–9. 10.1038/nm.3886. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Körber V, Yang J, Barah P, Wu Y, Stichel D, et al. Evolutionary trajectories of IDHWT glioblastomas reveal a common path of early tumorigenesis instigated years ahead of initial diagnosis. Cancer Cell. 2019;35(4):692-704.e12. 10.1016/j.ccell.2019.02.007. [DOI] [PubMed] [Google Scholar]
- 90.Bhullar DS, Barriuso J, Mullamitha S, Saunders MP, O’Dwyer ST, et al. Biomarker concordance between primary colorectal cancer and its metastases. EBioMedicine. 2019;40:363–74. 10.1016/j.ebiom.2019.01.050. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.McGranahan N, Furness AJ, Rosenthal R, Ramskov S, Lyngaa R, et al. Clonal neoantigens elicit T cell immunoreactivity and sensitivity to immune checkpoint blockade. Science. 2016;351(6280):1463–9. 10.1126/science.aaf1490. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Lovly CM, Salama AK, Salgia R. Tumor heterogeneity and therapeutic resistance. Am Soc Clin Oncol Educ Book. 2016;35:e585–93. 10.1200/EDBK_158808. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Turashvili G, Brogi E. Tumor heterogeneity in breast cancer. Front Med Lausanne. 2017;4:227. 10.3389/fmed.2017.00227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Passaro A, Al Bakir M, Hamilton EG, Diehn M, André F, et al. Cancer biomarkers: emerging trends and clinical implications for personalized treatment. Cell. 2024;187(7):1617–35. 10.1016/j.cell.2024.02.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Zhang S, Xiao X, Yi Y, Wang X, Zhu L, et al. Tumor initiation and early tumorigenesis: molecular mechanisms and interventional targets. Sig Transduct Target Ther. 2024;9(1):149. 10.1038/s41392-024-01848-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Morton JP, Timpson P, Karim SA, Ridgway RA, Athineos D, et al. Mutant p53 drives metastasis and overcomes growth arrest/senescence in pancreatic cancer. Proc Natl Acad Sci U S A. 2010;107(1):246–51. 10.1073/pnas.0908428107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Sivapalan L, Kocher HM, Ross-Adams H, Chelala C. The molecular landscape of pancreatic ductal adenocarcinoma. Pancreatology. 2022;22(7):925–36. 10.1016/j.pan.2022.07.010. [DOI] [PubMed] [Google Scholar]
- 98.Chang JT, Lee YM, Huang RS. The impact of the cancer genome atlas on lung cancer. Transl Res. 2015;166(6):568–85. 10.1016/j.trsl.2015.08.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Parker JS, Mullins M, Cheang MC, Leung S, Voduc D, et al. Supervised risk predictor of breast cancer based on intrinsic subtypes. J Clin Oncol. 2009;27(8):1160–7. 10.1200/JCO.2008.18.1370. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Zhong W, Li Y, Yuan Y, Zhong H, Huang C, et al. Characterization of molecular heterogeneity associated with tumor microenvironment in clear cell renal cell carcinoma to aid immunotherapy. Front Cell Dev Biol. 2021;9(1):736540. 10.3389/fcell.2021.736540. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Motzer RJ, Hutson TE, Cella D, Reeves J, Hawkins R, et al. Pazopanib versus sunitinib in metastatic renal-cell carcinoma. N Engl J Med. 2013;369(8):722–31. 10.1056/NEJMoa1303989. [DOI] [PubMed] [Google Scholar]
- 102.Xia X, Yang Z, Lu Q, Liu Z, Wang L, et al. Reshaping the tumor immune microenvironment to improve CAR-T cell-based cancer immunotherapy. Mol Cancer. 2024;23(1):175. 10.1186/s12943-024-02079-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Liu Z, Zhou Z, Dang Q, Xu H, Lv J, et al. Immunosuppression in tumor immune microenvironment and its optimization from CAR-T cell therapy. Theranostics. 2022;12(14):6273–90. 10.7150/thno.76854. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Ai K, Liu B, Chen X, Huang C, Yang L, et al. Optimizing CAR-T cell therapy for solid tumors: current challenges and potential strategies. J Hematol Oncol. 2024;17(1):105. 10.1186/s13045-024-01625-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Xiao X, Huang S, Chen S, Wang Y, Sun Q, et al. Mechanisms of cytokine release syndrome and neurotoxicity of CAR T-cell therapy and associated prevention and management strategies. J Exp Clin Cancer Res. 2021;40(1):367. 10.1186/s13046-021-02148-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Estephan H, Tailor A, Parker R, Kreamer M, Papandreou I, et al. Hypoxia promotes tumor immune evasion by suppressing MHC-I expression and antigen presentation. EMBO J. 2025;44(3):903–22. 10.1038/s44318-024-00319-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Zhu X, Chen J, Li W, Xu Y, Shan J, et al. Hypoxia-responsive CAR-T cells exhibit reduced exhaustion and enhanced efficacy in solid tumors. Cancer Res. 2024;84(1):84–100. 10.1158/0008-5472.CAN-23-1038. [DOI] [PubMed] [Google Scholar]
- 108.Bonifant CL, Jackson HJ, Brentjens RJ, Curran KJ. Toxicity and management in CAR T-cell therapy. Mol Ther. 2016;3:16011. 10.1038/mto.2016.11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Han X, Wang Y, Wei J, Han W. Multi-antigen-targeted chimeric antigen receptor T cells for cancer therapy. J Hematol Oncol. 2019;12(1):128. 10.1186/s13045-019-0813-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Mun SS, Meyerberg J, Peraro L, Korontsvit T, Gardner T, et al. Dual targeting ovarian cancer by Muc16 CAR T cells secreting a bispecific T cell engager antibody for an intracellular tumor antigen WT1. Cancer Immunol Immunother. 2023;72(11):3773–86. 10.1007/s00262-023-03529-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Tian M, Wei JS, Cheuk AT, Milewski D, Zhang Z, et al. CAR t-cells targeting FGFR4 and CD276 simultaneously show potent antitumor effect against childhood rhabdomyosarcoma. Nat Commun. 2024;15(1):6222. 10.1038/s41467-024-50251-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Guo Z, Tu S, Yu S, Wu L, Pan W, et al. Preclinical and clinical advances in dual-target chimeric antigen receptor therapy for hematological malignancies. Cancer Sci. 2021;112(4):1357–68. 10.1111/cas.14799. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Schmidts A, Srivastava AA, Ramapriyan R, Bailey SR, Bouffard AA, et al. Tandem chimeric antigen receptor (CAR) T cells targeting EGFRvIII and IL-13Rα2 are effective against heterogeneous glioblastoma. Neuro-Oncology Advances. 2022;5(1):vdac185. 10.1093/noajnl/vdac185. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Hegde M, Mukherjee M, Grada Z, Pignata A, Landi D, et al. Tandem CAR T cells targeting HER2 and IL13Rα2 mitigate tumor antigen escape. J Clin Invest. 2016;126(8):3036–52. 10.1172/JCI83416. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Huehls AM, Coupet TA, Sentman CL. Bispecific T-cell engagers for cancer immunotherapy. Immunol Cell Biol. 2015;93(3):290–6. 10.1038/icb.2014.93. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Yin Y, Rodriguez JL, Li N, Thokala R, Nasrallah MP, et al. Locally secreted BiTEs complement CAR T cells by enhancing killing of antigen heterogeneous solid tumors. Mol Ther. 2022;30(7):2537–53. 10.1016/j.ymthe.2022.05.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Stanford University. Dual-targeting HER2 and PD-L1 CAR-T for solid tumors. ClinicalTrials.gov. Identifier: NCT04684459.
- 118.Hyrenius-Wittsten A, Su Y, Park M, Garcia JM, Alavi J, et al. Synnotch CAR circuits enhance solid tumor recognition and promote persistent antitumor activity in mouse models. Sci Transl Med. 2021;13(591):eabd8836. 10.1126/scitranslmed.abd8836. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Okada H. Anti-EGFRvIII synNotch receptor induced anti-EphA2/IL-13Ralpha2 CAR (E-SYNC) T cells. ClinicalTrials.gov. Identifier: NCT06186401.
- 120.Choe JH, Watchmaker PB, Simic MS, Gilbert RD, Li AW, et al. Synnotch-CAR t cells overcome challenges of specificity, heterogeneity, and persistence in treating glioblastoma. Sci Transl Med. 2021;13(591):eabe7378. 10.1126/scitranslmed.abe7378. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Srivastava S, Salter AI, Liggitt D, Yechan-Gunja S, Sarvothama M, et al. Logic-gated ROR1 chimeric antigen receptor expression rescues T cell-mediated toxicity to normal tissues and enables selective tumor targeting. Cancer Cell. 2019;35(3):489-503.e8. 10.1016/j.ccell.2019.02.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Schlegel LS, Werbrouck C, Boettcher M, Schlegel P. Universal CAR 2.0 to overcome current limitations in CAR therapy. Front Immunol. 2024;15:1383894. 10.3389/fimmu.2024.1383894. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Zhang AQ, Hostetler A, Chen LE, Mukkamala V, Abraham W, et al. Universal redirection of CAR T cells against solid tumours via membrane-inserted ligands for the CAR. Nat Biomed Eng. 2023;7(9):1113–28. 10.1038/s41551-023-01048-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Jaspers JE, Khan JF, Godfrey WD, Lopez AV, Ciampricotti M, et al. IL-18–secreting CAR T cells targeting DLL3 are highly effective in small cell lung cancer models. J Clin Invest. 2023;133(9):e166028. 10.1172/JCI166028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Zhao Y, Dong Y, Yang S, Tu Y, Wang C, et al. Bioorthogonal equipping CAR-T cells with hyaluronidase and checkpoint blocking antibody for enhanced solid tumor immunotherapy. ACS Cent Sci. 2022;8(5):603–14. 10.1021/acscentsci.2c00163. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Liu G, Rui W, Zheng H, Huang D, Yu F, et al. Cxcr2-modified CAR-T cells have enhanced trafficking ability that improves treatment of hepatocellular carcinoma. Eur J Immunol. 2020;50(5):712–24. 10.1002/eji.201948457. [DOI] [PubMed] [Google Scholar]
- 127.McGrath K, Dotti G. Combining oncolytic viruses with chimeric antigen receptor T cell therapy. Hum Gene Ther. 2021;32(3–4):150–7. 10.1089/hum.2020.278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.Zhou M, Chen M, Shi B, Di S, Sun R, et al. Radiation enhances the efficacy of EGFR-targeted CAR-T cells against triple-negative breast cancer by activating NF-κB/Icam1 signaling. Mol Ther. 2022;30(11):3379–93. 10.1016/j.ymthe.2022.07.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Rakhshandehroo T, Mantri SR, Moravej H, Louis BBV, Salehi Farid A, et al. A CAR enhancer increases the activity and persistence of CAR T cells. Nat Biotechnol. 2025;43:948–59. 10.1038/s41587-024-02339-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Zhou JE, Sun L, Jia Y, Wang Z, Luo T, et al. Lipid nanoparticles produce chimeric antigen receptor T cells with interleukin-6 knockdown in vivo. J Control Release. 2022;350:298–307. 10.1016/j.jconrel.2022.08.033. [DOI] [PubMed] [Google Scholar]
- 131.Mullard A. In vivo CAR T cells move into clinical trials. Nat Rev Drug Discov. 2024;23(10):727–30. 10.1038/d41573-024-00150-z. [DOI] [PubMed] [Google Scholar]
- 132.Hunter TL, Bao Y, Zhang Y, Matsuda D, Riener R, et al. In vivo CAR T cell generation to treat cancer and autoimmune disease. Science. 2025;388(6753):1311–7. 10.1126/science.ads8473. [DOI] [PubMed] [Google Scholar]
- 133.Xin T, Cheng L, Zhou C, Zhao Y, Hu Z, et al. In-vivo induced CAR-T cell for the potential breakthrough to overcome the barriers of current CAR-T cell therapy. Front Oncol. 2022;12:809754. 10.3389/fonc.2022.809754. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Koneru M, O’Cearbhaill R, Pendharkar S, Spriggs DR, Brentjens RJ. A phase I clinical trial of adoptive T cell therapy using IL-12 secreting MUC-16ecto directed chimeric antigen receptors for recurrent ovarian cancer. J Transl Med. 2015;(1):102. 10.1186/s12967-015-0460-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Adusumilli PS, Zauderer MG, Rivière I, Solomon SB, Rusch VW, et al. A phase I trial of regional mesothelin-targeted CAR T-cell therapy in patients with malignant pleural disease, in combination with the anti-PD-1 agent pembrolizumab. Cancer Discov. 2021;11(11):2748–63. 10.1158/2159-8290.CD-21-0407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Grosser R, Cherkassky L, Chintala N, Adusumilli PS. Combination immunotherapy with CAR T cells and checkpoint blockade for the treatment of solid tumors. Cancer Cell. 2019;36(5):471–82. 10.1016/j.ccell.2019.09.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Baylor College of Medicine. 3rd generation GD-2 chimeric antigen receptor and iCaspase suicide safety switch, neuroblastoma, GRAIN (GRAIN). ClinicalTrials.gov. Identifier: NCT01822652.
- 138.Gargett T, Brown MP. The inducible caspase-9 suicide gene system as a “safety switch” to limit on-target, off-tumor toxicities of chimeric antigen receptor T cells. Front Pharmacol. 2014;5:235. 10.3389/fphar.2014.00235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Beatty GL, Haas AR, Maus MV, Torigian DA, Soulen MC, et al. Mesothelin-specific chimeric antigen receptor mRNA-engineered T cells induce anti-tumor activity in solid malignancies. Cancer Immunol Res. 2014;2(2):112–20. 10.1158/2326-6066.CIR-13-0170. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Myeloid Therapeutics Inc. Myeloid Therapeutics initiates patient dosing with MT-303, a novel GPC3 targeting RNA CAR, in phase 1 study for advanced hepatocellular carcinoma (HCC). PR Newswire. https://www.prnewswire.com/news-releases/myeloid-therapeutics-initiates-patient-dosing-with-mt-303-a-novel-gpc3-targeting-rna-car-in-phase-1-study-for-advanced-hepatocellular-carcinoma-hcc-302210394.html.
- 141.Argueta S, Melber FK, Gorgievski M, D’Alessandro J, Cochran E et al. Preclinical development of MT-303, a novel LNP-formulated GPC3-specific CAR mRNA, for in vivo programming of monocytes to treat hepatocellular carcinoma. Journal for ImmunoTherapy of Cancer. Volume 12, Issue Suppl 2 .10.1136/jitc-2024-SITC2024.1125.
- 142.Brown CE, Hibbard JC, Alizadeh D, Blanchard MS, Natri HM, et al. Locoregional delivery of IL-13Rα2-targeting CAR-T cells in recurrent high-grade glioma: a phase 1 trial. Nat Med. 2024;30:1001–12. 10.1038/s41591-024-02875-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Wang LD; City of Hope, Beckman Research Institute. Phase I study of IL13Rα2-targeting CAR T cells after lymphodepletion for children with refractory or recurrent malignant brain tumors. https://www.cirm.ca.gov/our-progress/awards/phase-i-study-il13r%CE%B12-targeting-car-t-cells-after-lymphodepletion-children-refractory-or-recurrent-malignant-brain-tumors/.
- 144.City of Hope Medical Center. Memory-enriched T cells in treating patients with recurrent or refractory grade III-IV glioma. ClinicalTrials.gov. Identifier: NCT03389230.
- 145.Meyran D, Zhu JJ, Butler J, Tantalo D, MacDonald S, et al. TSTEM-like CAR-T cells exhibit improved persistence and tumor control compared with conventional CAR-T cells in preclinical models. Sci Transl Med. 2023;15(690):eabk1900. 10.1126/scitranslmed.abk1900. [DOI] [PubMed] [Google Scholar]
- 146.Kawalekar OU, O’Connor RS, Fraietta JA, Guo L, McGettigan SE, et al. Distinct signaling of coreceptors regulates specific metabolism pathways and impacts memory development in CAR T cells. Immunity. 2016;44(2):380–90. 10.1016/j.immuni.2016.01.021. [DOI] [PubMed] [Google Scholar]
- 147.Kondo T, Bourassa FXP, Achar S, DuSold J, Céspedes PF, et al. Engineering TCR-controlled fuzzy logic into CAR T cells enhances therapeutic specificity. Cell. 2025;188(9):2372-2389.e35. 10.1016/j.cell.2025.03.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148.McKean M, Carabasi MH, Stein MN, Schweizer MT, Luke JJ, et al. Safety and early efficacy results from a phase 1, multicenter trial of PSMA-targeted armored CAR T cells in patients with advanced mCRPC. J Clin Oncol. 2022;40(6_suppl):94. 10.1200/JCO.2022.40.6_suppl.094. [Google Scholar]
- 149.Yan T, Zhu L, Chen J. Current advances and challenges in CAR T-cell therapy for solid tumors: tumor-associated antigens and the tumor microenvironment. Exp Hematol Oncol. 2023;12(1):14. 10.1186/s40164-023-00373-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Tony LT, Stabile A, Schauer MP, Hudecek M, Weber J. CAR-T cell therapy for solid tumors. Transfus Med Hemother. 2025;52(1):96–108. 10.1159/000542438. [Google Scholar]
- 151.Ying PT, Tang YM. Challenges and overcoming strategies in CAR-T cell therapy for pediatric neuroblastoma. World J Pediatr. 2025;21(2):123–30. 10.1007/s12519-025-00876-9. [DOI] [PubMed] [Google Scholar]
- 152.Perna SK, Pagliara D, Mahendravada A, Liu H, Brenner MK, et al. Interleukin-7 mediates selective expansion of tumor-redirected cytotoxic T lymphocytes (CTLs) without enhancement of regulatory T-cell inhibition. Clin Cancer Res. 2014;20(1):131–9. 10.1158/1078-0432.CCR-13-1016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.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(9):2218–30. 10.1016/j.ymthe.2018.07.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 154.Koneru M, Purdon TJ, Spriggs D, Koneru S, Brentjens RJ. IL-12 secreting tumor-targeted chimeric antigen receptor T cells eradicate ovarian tumors in vivo. Oncoimmunology. 2015;4(3):e994446. 10.4161/2162402X.2014.994446. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 155.Yeku OO, Purdon T, Spriggs DR, Brentjens RJ. Chimeric antigen receptor (CAR) T cells genetically engineered to deliver IL-12 to the tumor microenvironment in ovarian cancer. J Clin Oncol. 2017. 10.1200/JCO.2017.35.7_suppl.141. [Google Scholar]
- 156.Pegram HJ, Lee JC, Hayman EG, Imperato GH, Tedder TF, et al. Tumor-targeted t cells modified to secrete IL-12 eradicate systemic tumors without need for prior conditioning. Blood. 2012;119(18):4133–41. 10.1182/blood-2011-12-400044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 157.National Cancer Institute, Houston Methodist Cancer Center and Research Institute. Dose escalation/dose expansion study of PRGN-3007 UltraCAR-T cells in patients with advanced hematologic and solid tumor malignancies. ClinicalTrials.gov. Identifier: NCT05694364.
- 158.Hebei Senlang Biotechnology Inc. Ltd. Anti-PD-L1 armored anti-CD22 CAR-T/CAR-TILs targeting patients with solid tumors. ClinicalTrials.gov. Identifier: NCT04556669.
- 159.Cancer Hospital, Chinese Academy of Medical Sciences. CD73/AXL targeted HypoSti.CAR-T cells in CD73/AXL positive advanced/metastatic solid tumors. ClinicalTrials.gov. Identifier: NCT06939270.
- 160.Baylor College of Medicine. IC9-GD2-CAR-VZV-CTLs/refractory or metastatic GD2-positive sarcoma and neuroblastoma (VEGAS). ClinicalTrials.gov. Identifier: NCT01953900.
- 161.Tanaka M, Tashiro H, Omer B, Lapteva N, Ando J, et al. Vaccination targeting native receptors to enhance the function and proliferation of chimeric antigen receptor (CAR)-modified T cells. Clin Cancer Res. 2017;23(14):3499–509. 10.1158/1078-0432.CCR-16-2138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162.Rupp LJ, Schumann K, Roybal KT, Gate RE, Ye CJ, et al. CRISPR/Cas9-mediated PD-1 disruption enhances anti-tumor efficacy of human chimeric antigen receptor T cells. Sci Rep. 2017;7(1):737. 10.1038/s41598-017-00462-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 163.Agarwal S, Aznar MA, Rech AJ, Good CR, Kuramitsu S, et al. Deletion of the inhibitory co-receptor CTLA4 enhances and invigorates chimeric antigen receptor T cells. Immunity. 2023;56(10):2388-2407.e9. 10.1016/j.immuni.2023.09.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164.Wei J, Long L, Zheng W, Dhungana Y, Lim SA, et al. Targeting REGNASE-1 programs long-lived effector T cells for cancer therapy. Nature. 2019;576(7787):471–6. 10.1038/s41586-019-1821-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 165.Lin Y, Yin H, Zhou C, Zhou L, Zeng Y, et al. Phase I clinical trial of MUC1-targeted CAR-T cells with PD-1-knockout in the treatment of advanced breast cancer. J Clin Oncol. 2024;42(16_suppl):1089. 10.1200/JCO.2024.42.16_suppl.1089. [Google Scholar]
- 166.Rodriguez-Garcia A, Palazon A, Noguera-Ortega E, Powell DJ Jr, Guedan S. CAR-t cells hit the tumor microenvironment: strategies to overcome tumor escape. Front Immunol. 2020;11:1109. 10.3389/fimmu.2020.01109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167.Carcopino C, Erdogan E, Henrich M, Kobold S. Armoring chimeric antigen receptor (CAR) T cells as micropharmacies for cancer therapy. Immuno-Oncology and Technology. 2024;24:100739. 10.1016/j.iotech.2024.100739. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168.Hong SO, Kim J, Lee S, Shin J, Choi H, et al. Transgenic viral expression of PH-20, IL-12, and sPD1-Fc enhances immune cell infiltration and anti-tumor efficacy of an oncolytic virus. Mol Ther. 2023;30:301–15. 10.1016/j.omto.2023.08.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169.Peng W, Ye Y, Rabinovich BA, Liu C, Lou Y, et al. Transduction of tumor-specific T cells with CXCR2 chemokine receptor improves migration to tumor and antitumor immune responses. Clin Cancer Res. 2010;16(22):5458–68. 10.1158/1078-0432.CCR-10-0712. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170.Cheng Y, Mo F, Li Q, Han X, Shi H, et al. Targeting CXCR2 inhibits the progression of lung cancer and promotes therapeutic effect of cisplatin. Mol Cancer. 2021;20(1):62. 10.1186/s12943-021-01355-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171.University of Florida. Phase I study of IL-8 receptor-modified CD70 CAR T cell therapy in CD70+ adult glioblastoma (IMPACT). ClinicalTrials.gov. Identifier: NCT05353530.
- 172.Sagnella SM, White AL, Yeo D, Saxena P, van Zandwijk N, et al. Locoregional delivery of CAR-T cells in the clinic. Pharmacol Res. 2022;182:106329. 10.1016/j.phrs.2022.106329. [DOI] [PubMed] [Google Scholar]
- 173.Turk OM, Woodall RC, Gutova M, Brown CE, Rockne RC, et al. Delivery strategies for cell-based therapies in the brain: overcoming multiple barriers. Drug Deliv Transl Res. 2021;11(6):2448–67. 10.1007/s13346-021-01079-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174.Aalipour A, Le Boeuf F, Tang M, Murty S, Simonetta F, et al. Viral delivery of CAR targets to solid tumors enables effective cell therapy. Mol Ther. 2020;17:232–40. 10.1016/j.omto.2020.03.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175.Hauth F, Ho AY, Ferrone S, Duda DG. Radiotherapy to enhance chimeric antigen receptor T-cell therapeutic efficacy in solid tumors: a narrative review. JAMA Oncol. 2021;7(7):1051–9. 10.1001/jamaoncol.2021.0168. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 176.Baylor College of Medicine. Binary oncolytic adenovirus in combination with HER2-specific autologous CAR VST, advanced HER2 positive solid tumors (VISTA). ClinicalTrials.gov. Identifier: NCT03740256.
- 177.Sichuan University. Phase I clinical study of Α-PD-L1/DLL3 CAR-T in patients with R/R SCLC. ClinicalTrials.gov. Identifier: NCT06348797.
- 178.Page A, Chuvin N, Valladeau-Guilemond J, Depil S. Development of NK cell-based cancer immunotherapies through receptor engineering. Cell Mol Immunol. 2024;21(4):315–31. 10.1038/s41423-024-01145-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179.Srivastava S, Riddell SR. Chimeric antigen receptor T cell therapy: challenges to bench-to-bedside efficacy. J Immunol. 2018;200(2):459–68. 10.4049/jimmunol.1701155. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180.Hamilton JR, Chen E, Perez BS, Sandoval Espinoza CR, Kang MH, et al. In vivo human T cell engineering with enveloped delivery vehicles. Nat Biotechnol. 2024;42(11):1684–92. 10.1038/s41587-023-02085-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 181.Xie N, Shen G, Gao W, Huang Z, Huang C, et al. Neoantigens: promising targets for cancer therapy. Sig Transduct Target Ther. 2023;8(1):9. 10.1038/s41392-022-01270-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 182.Liu J, Jiao X, Ma D, Fang Y, Gao Q. CAR-T therapy and targeted treatments: emerging combination strategies in solid tumors. Med. 2024;5(6):530–49. 10.1016/j.medj.2024.03.001. [DOI] [PubMed] [Google Scholar]
- 183.The Third Affiliated Hospital of Guangzhou Medical University. Pilot study of NKG2D-ligand targeted CAR-NK cells in patients with metastatic solid tumours. ClinicalTrials.gov. Identifier: NCT03415100.
- 184.Shanghai East Hospital. Study of anti-5T4 CAR-raNK cell therapy in locally advanced or metastatic solid tumors. ClinicalTrials.gov. Identifier: NCT05137275.
- 185.Harari-Steinfeld R, Abhinav Ayyadevara VSS, Cuevas L, Marincola F, Roh KH. Standardized in-vitro evaluation of CAR-T cells using acellular artificial target particles. Front Immunol. 2022;13:994532. 10.3389/fimmu.2022.994532. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 186.Du Q, An Q, Zhang J, Liu C, Hu Q. Unravelling immune microenvironment features underlying tumor progression in the single-cell era. Cancer Cell Int. 2024;24(1):143. 10.1186/s12935-024-03335-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 187.Ning RX, Liu CY, Wang SQ, Li WK, Kong X, et al. Application status and optimization suggestions of tumor organoids and CAR-T cell co-culture models. Cancer Cell Int. 2024;24(1):98. 10.1186/s12935-024-03272-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 188.Xue Q, Bettini E, Paczkowski P, Ng C, Kaiser A, et al. Single-cell multiplexed cytokine profiling of CD19 CAR-T cells reveals a diverse landscape of polyfunctional antigen-specific response. J Immunother Cancer. 2017;5(1):85. 10.1186/s40425-017-0293-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 189.Logun M, Wang X, Sun Y, Bagley SJ, Li N, et al. Patient-derived glioblastoma organoids as real-time avatars for assessing responses to clinical CAR-T cell therapy. Cell Stem Cell. 2025;32(2):181-190.e4. 10.1016/j.stem.2024.11.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 190.Lyell Immunopharma Inc. A Study to investigate LYL797 in adults with solid tumors. ClinicalTrials.gov. Identifier: NCT05274451.
- 191.A2 Biotherapeutics Inc. A study to evaluate the safety and efficacy of A2B530, a logic-gated CAR T, in participants with solid tumors that express CEA and have lost HLA-A*02 expression (EVEREST-1). ClinicalTrials.gov. Identifier: NCT05736731.
- 192.NYU Langone Health. Perlmutter Cancer Center launches logic-gated solid tumor CAR T cell trial. NYUlangone.org. June 29, 2023. https://nyulangone.org/news/perlmutter-cancer-center-launches-logic-gated-solid-tumor-car-t-cell-trial.
- 193.National Cancer Institute, Singapore General Hospital. Multi-4SCAR-T therapy targeting breast cancer. ClinicalTrials.gov. Identifier: NCT04430595.
- 194.Businesswire. FDA grants regenerative medicine advanced therapy designation for BrainChild Bio’s B7-H3 CAR T-cell therapy for incurable pediatric brain tumors. https://www.businesswire.com/news/home/20250515031709/en/FDA-Grants-Regenerative-Medicine-Advanced-Therapy-Designation-for-BrainChild-Bios-B7-H3-CAR-T-cell-Therapy-for-Incurable-Pediatric-Brain-Tumors.
- 195.Qi C, Gong J, Li J, Liu D, Qin Y, et al. Claudin18.2-specific CAR t cells in gastrointestinal cancers: phase 1 trial interim results. Nat Med. 2022;28(6):1189–98. 10.1038/s41591-022-01800-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196.University of Pennsylvania. CART-EGFR-IL13Ra2 in EGFR amplified recurrent GBM. ClinicalTrials.gov. Identifier: NCT05168423.
- 197.Sichuan University. Dual-targeting CLDN18.2 and PD-L1 CAR-T for patients with CLDN18.2-positive advanced solid tumors. ClinicalTrials.gov. Identifier: NCT06084286.
- 198.Zhang J, Hu Y, Yang J, Li W, Zhang M, et al. Non-viral, specifically targeted CAR-T cells achieve high safety and efficacy in B-NHL. Nature. 2022;609(7926):369–74. 10.1038/s41586-022-05140-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 199.Prinzing B, Zebley CC, Petersen CT, Fan Y, Anido AA, et al. Deleting DNMT3A in CAR T cells prevents exhaustion and enhances antitumor activity. Sci Transl Med. 2021;13(620):eabh0272. 10.1126/scitranslmed.abh0272. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 200.Wang Z, Li N, Feng K, Chen M, Zhang Y, et al. Phase I study of CAR-T cells with PD-1 and TCR disruption in mesothelin-positive solid tumors. Cell Mol Immunol. 2021;18(9):2188–98. 10.1038/s41423-021-00749-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 201.Stadtmauer EA, Fraietta JA, Davis MM, Cohen AD, Weber KL, et al. CRISPR-engineered T cells in patients with refractory cancer. Science. 2020;367(6481):eaba7365. 10.1126/science.aba7365. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 202.Monjezi R, Miskey C, Gogishvili T, Schleef M, Schmeer M, et al. Enhanced CAR T-cell engineering using non-viral sleeping beauty transposition from minicircle vectors. Leukemia. 2017;31(1):186–94. 10.1038/leu.2016.180. [DOI] [PubMed] [Google Scholar]
- 203.Singh H, Srour SA, Milton DR, McCarty J, Dai C, et al. Sleeping beauty generated CD19 CAR T-cell therapy for advanced B-cell hematological malignancies. Front Immunol. 2022;13:1032397. 10.3389/fimmu.2022.1032397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 204.Chinese PLA General Hospital. Study of CRISPR-Cas9 mediated PD-1 and TCR gene-knocked out mesothelin-directed CAR-T cells in patients with mesothelin positive multiple solid tumors. ClinicalTrials.gov ID NCT03545815.
- 205.University of Pennsylvania. NY-ESO-1-redirected CRISPR (TCRendo and PD1) Edited T Cells (NYCE T Cells). ClinicalTrials.gov. Identifier: NCT03399448.
- 206.PACT Pharma Inc. A study of gene edited autologous neoantigen targeted TCR T cells with or without anti-PD-1 in patients with solid tumors. ClinicalTrials.gov. Identifier: NCT03970382.
- 207.Poseida Therapeutics Inc. P-MUC1C-ALLO1 allogeneic CAR-T cells in the treatment of subjects with advanced or metastatic solid tumors. ClinicalTrials.gov. Identifier: NCT05239143.
- 208.City of Hope Medical Center. CAR T cells after lymphodepletion for the treatment of IL13Rα2 positive recurrent or refractory brain tumors in children. ClinicalTrials.gov. Identifier: NCT04510051.
- 209.Kang M, Lee SH, Kwon M, Byun J, Kim D, et al. Nanocomplex-mediated in vivo programming to chimeric antigen receptor-M1 macrophages for cancer therapy. Adv Mater. 2021;33(43):e2103258. 10.1002/adma.202103258. [DOI] [PubMed] [Google Scholar]
- 210.Carvalho AB, Kasai-Brunswick TH, de Campos Carvalho AC. Advanced cell and gene therapies in cardiology. EBioMedicine. 2024;103:105125. 10.1016/j.ebiom.2024.105125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 211.Chen X, Zhong S, Zhan Y, et al. CRISPR–Cas9 applications in T cells and adoptive T cell therapies. Cell Mol Biol Lett. 2024;29:52. 10.1186/s11658-024-00561-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 212.Zhang J, Du B, Liu M. Let’s turn the CAR-T cells ON and OFF precisely. Cancer Cell. 2022;40(11):1264–6. 10.1016/j.ccell.2022.10.019. [DOI] [PubMed] [Google Scholar]
- 213.Ochoa D, Jarnuczak AF, Viéitez C, Gehre M, Soucheray M, et al. The functional landscape of the human phosphoproteome. Nat Biotechnol. 2020;38(3):365–73. 10.1038/s41587-019-0344-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 214.Liao Z, Jiang J, Wu W, Shi J, Wang Y, et al. Lymph node-biomimetic scaffold boosts CAR-T therapy against solid tumor. Natl Sci Rev. 2024;11(4):nwae018. 10.1093/nsr/nwae018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 215.Khawar MB, Afzal A, Si Y, Sun H. Steering the course of CAR T cell therapy with lipid nanoparticles. J Nanobiotechnol. 2024;22(1):380. 10.1186/s12951-024-02630-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 216.Wang X, Fan R, Mu M, Zhou L, Zou B, et al. Harnessing nanoengineered CAR-T cell strategies to advance solid tumor immunotherapy. Trends Cell Biol. 2024;S0962–8924(24):00252–6. 10.1016/j.tcb.2024.11.010. [DOI] [PubMed] [Google Scholar]
- 217.Mackall, C. GD2 CAR T cells in diffuse intrinsic pontine gliomas (DIPG) & spinal diffuse midline glioma (DMG). ClinicalTrials.gov. Identifier: NCT04196413.
- 218.University of Pennsylvania. CART-PSMA-TGFβRDN cells for castrate-resistant prostate cancer. ClinicalTrials.gov. Identifier: NCT03089203.
- 219.Daniels KG, Wang S, Simic MS, Bhargava HK, Capponi S, et al. Decoding CAR T cell phenotype using combinatorial signaling motif libraries and machine learning. Science. 2022;378(6625):1194–200. 10.1126/science.abq0225. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 220.Zhang R, Han X, Lei Z, Jiang C, Gul I, et al. RCMNet: a deep learning model assists CAR-T therapy for leukemia. Comput Biol Med. 2022;150:106084. 10.1016/j.compbiomed.2022.106084. [DOI] [PubMed] [Google Scholar]
- 221.Shahzadi M, Rafique H, Waheed A, Naz H, Waheed A, et al. Artificial intelligence for chimeric antigen receptor-based therapies: a comprehensive review of current applications and future perspectives. Ther Adv Vaccines Immunother. 2024. 10.1177/25151355241305856. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 222.Bhat AA, Nisar S, Mukherjee S, Saha N, Yarravarapu N, et al. Integration of CRISPR/Cas9 with artificial intelligence for improved cancer therapeutics. J Transl Med. 2022;20(1):534. 10.1186/s12967-022-03765-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 223.Bambino Gesù Hospital and Research Institute. Anti-GD2 CAR T cells in pediatric patients affected by high risk and/or relapsed/refractory neuroblastoma or other GD2-positive solid tumors. ClinicalTrials.gov. Identifier: NCT03373097.
- 224.The Affiliated Nanjing Drum Tower Hospital of Nanjing University Medical School. NKG2D CAR-T(KD-025) in the Treatment of Relapsed or Refractory NKG2DL+ Tumors. ClinicalTrials.gov. Identifier: NCT04550663.
- 225.Seattle Children’s Hospital. Study of B7-H3-specific CAR T cell locoregional immunotherapy for diffuse intrinsic pontine glioma/diffuse midline glioma and recurrent or refractory pediatric central nervous system tumors. ClinicalTrials.gov. Identifier: NCT04185038.
- 226.Chinese PLA General Hospital. Treatment of relapsed and/or chemotherapy refractory advanced malignancies by CART133. ClinicalTrials.gov. Identifier: NCT02541370.
- 227.Frumento G, Verma K, Croft W, White A, Zuo J, et al. Homeostatic cytokines drive epigenetic reprogramming of activated T cells into a ‘“NaiveMemory”’ phenotype. iScience. 2020;23(4):100989. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 228.Rostamian H, Fallah-Mehrjardi K, Khakpoor-Koosheh M, Pawelek JM, Hadjati J, et al. A metabolic switch to memory CAR T cells: implications for cancer treatment. Cancer Lett. 2021;500:107–18. 10.1016/j.canlet.2020.12.004. [DOI] [PubMed] [Google Scholar]
- 229.Liu Q, Sun Z, Chen L. Memory T cells: strategies for optimizing tumor immunotherapy. Protein Cell. 2020;11(8):549–64. 10.1007/s13238-020-00707-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 230.López-Cantillo G, Urueña C, Camacho BA, Ramírez-Segura C. CAR-T cell performance: how to improve their persistence? Front Immunol. 2022;13:878209. 10.3389/fimmu.2022.878209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 231.Han J, Khatwani N, Searles TG, Turk MJ, Angeles CV. Memory CD8+ T cell responses to cancer. Semin Immunol. 2020;49:101435. 10.1016/j.smim.2020.101435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 232.Arcangeli S, Bove C, Mezzanotte C, Camisa B, Falcone L, et al. CAR T cell manufacturing from naive/stem memory T lymphocytes enhances antitumor responses while curtailing cytokine release syndrome. J Clin Invest. 2022;132(12):e150807. 10.1172/JCI150807. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 233.Wang D, Aguilar B, Starr R, Alizadeh D, Brito A, et al. Glioblastoma-targeted CD4+ CAR T cells mediate superior antitumor activity. JCI Insight. 2018;3(10):e99048. 10.1172/jci.insight.99048. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 234.Mata M, Gerken C, Nguyen P, Krenciute G, Spencer DM, et al. Inducible activation of MyD88 and CD40 in CAR T cells results in controllable and potent antitumor activity in preclinical solid tumor models. Cancer Discov. 2017;7(11):1306–19. 10.1158/2159-8290.CD-17-0263. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 235.Zhu T, Xiao Y, Chen Z, Ding H, Chen S, et al. Inhalable nanovesicles loaded with a STING agonist enhance CAR-T cell activity against solid tumors in the lung. Nat Commun. 2025;16(1):262. 10.1038/s41467-024-55751-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 236.Li AW, Briones JD, Lu J, Walker Q, Martinez R, et al. Engineering potent chimeric antigen receptor T cells by programming signaling during T-cell activation. Sci Rep. 2024;14(1):21331. 10.1038/s41598-024-72392-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 237.Hurton LV, Singh H, Najjar AM, Switzer KC, Mi T, et al. Tethered IL-15 augments antitumor activity and promotes a stem-cell memory subset in tumor-specific T cells. Proc Natl Acad Sci USA. 2016;113(48):E7788-97. 10.1073/pnas.1610544113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 238.Yang Q, Hu J, Jia Z, Wang Q, Wang J, et al. Membrane-anchored and tumor-targeted IL-12 (attIL12)-PBMC therapy for osteosarcoma. Clin Cancer Res. 2022;28(17):3862–73. 10.1158/1078-0432.CCR-22-0721. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 239.University of Louisville Cancer Center. Autologous CAR T-cells targeting the GD2 antigen for lung cancer. ClinicalTrials.gov. Identifier: NCT05620342.
- 240.Eyquem J, Mansilla-Soto J, Giavridis T, van der Stegen SJ, Hamieh M, et al. Targeting a CAR to the TRAC locus with CRISPR/Cas9 enhances tumour rejection. Nature. 2017;543(7643):113–7. 10.1038/nature21405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 241.Chan JD, Scheffler CM, Munoz I, Sek K, Lee JN, et al. Foxo1 enhances CAR T cell stemness, metabolic fitness and efficacy. Nature. 2024;629(8010):201–10. 10.1038/s41586-024-07242-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 242.Doan AE, Mueller KP, Chen AY, Rouin GT, Chen Y, et al. FOXO1 is a master regulator of memory programming in CAR T cells. Nature. 2024;629(8011):E11. 10.1038/s41586-024-07300-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 243.Ye L, Park JJ, Peng L, Yang Q, Chow RD, et al. A genome-scale gain-of-function CRISPR screen in CD8 T cells identifies proline metabolism as a means to enhance CAR-T therapy. Cell Metab. 2022;34(4):595-614.e14. 10.1016/j.cmet.2022.02.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 244.Ye L, Park JJ, Peng L, Yang Q, Chow RD, et al. PRODH2-mediated proline metabolism boosts CAR T-cell effector function. Cancer Discov. 2022;12(6):1405. 10.1158/2159-8290.CD-RW2022-054. [DOI] [PubMed] [Google Scholar]
- 245.Daei Sorkhabi A, Mohamed Khosroshahi L, Sarkesh A, Mardi A, Aghebati-Maleki A, et al. The current landscape of CAR T-cell therapy for solid tumors: mechanisms, research progress, challenges, and counterstrategies. Front Immunol. 2023;14:1113882. 10.3389/fimmu.2023.1113882. (Mar 20;). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 246.Maalej KM, Merhi M, Inchakalody VP, Mestiri S, Alam M, et al. CAR-cell therapy in the era of solid tumor treatment: current challenges and emerging therapeutic advances. Mol Cancer. 2023;22(1):20. 10.1186/s12943-023-01723-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 247.Hartmann J, Schüßler-Lenz M, Bondanza A, Buchholz CJ. Clinical development of CAR T cells—challenges and opportunities in translating innovative treatment concepts. EMBO Mol Med. 2017;9(9):1183–97. 10.15252/emmm.201607485. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 248.Lu L, Xie M, Yang B, Zhao WB, Cao J. Enhancing the safety of CAR-T cell therapy: synthetic genetic switch for spatiotemporal control. Sci Adv. 2024;10(8):eadj6251. 10.1126/sciadv.adj6251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 249.Hong M, Clubb JD, Chen YY. Engineering CAR-T cells for next-generation cancer therapy. Cancer Cell. 2020;38(4):473–88. 10.1016/j.ccell.2020.07.005. [DOI] [PubMed] [Google Scholar]
- 250.City of Hope Medical Center. Genetically modified T-cells in treating patients with recurrent or refractory malignant glioma. ClinicalTrials.gov. Identifier: NCT02208362.
- 251.City of Hope Medical Center. IL13Ra2-CAR T cells with or without nivolumab and ipilimumab in treating patients with GBM. ClinicalTrials.gov. Identifier: NCT04003649.
- 252.Mackensen A, Haanen JBAG, Koenecke C, Alsdorf W, Wagner-Drouet E, 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(11):2844–53. 10.1038/s41591-023-02612-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 253.City of Hope Medical Center. HER2-CAR T cells in treating patients with recurrent brain or leptomeningeal metastases. ClinicalTrials.gov. Identifier: NCT03696030.
- 254.Ahn SY, Vo MC, Nguyen VT, Tran VD, Duc TN, et al. Expanded and activated marrow-infiltrating lymphocytes exhibit potent antimyeloma activity against autologous multiple myeloma cells. Transl Oncol. 2025;60:102475. 10.1016/j.tranon.2025.102475. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 255.Vo MC, Jung SH, Nguyen VT, Tran VD, Kim SK, et al. Anti-BCMA dual epitope-binding CAR-marrow infiltrating lymphocytes (MILs) could offer a potent innovative immunotherapeutic tool against multiple myeloma. Blood. 2023;142:6811. 10.1182/blood-2023-188428. [Google Scholar]
- 256.Thangaraj JL, Ahn SY, Jung SH, Vo MC, Chu TH, et al. Expanded natural killer cells augment the antimyeloma effect of daratumumab, bortezomib, and dexamethasone in a mouse model. Cell Mol Immunol. 2021;18(7):1652–61. 10.1038/s41423-021-00686-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 257.Vo MC, Ahn SY, Chu TH, Uthaman S, Pillarisetti S, et al. A combination of immunoadjuvant nanocomplexes and dendritic cell vaccines in the presence of immune checkpoint blockade for effective cancer immunotherapy. Cell Mol Immunol. 2021;18(6):1599–601. 10.1038/s41423-021-00666-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 258.Zhujiang Hospital, Southern Medical University (China). Anti-GD2 4th generation CART cells targeting refractory and/or recurrent neuroblastoma (4SCAR-GD2). ClinicalTrials.gov. Identifier: NCT02765243.
- 259.Verma M, Obergfell K, Topp S, Panier V, Wu J. The next-generation CAR-T therapy landscape. Nat Rev Drug Discov. 2023;22(10):776–7. 10.1038/d41573-023-00140-7. [DOI] [PubMed] [Google Scholar]
- 260.U.S. Food and Drug Administration. Cellular & gene therapy guidances. (2025) https://www.fda.gov/vaccines-blood-biologics/biologics-guidances/cellular-gene-therapy-guidances.
- 261.Chehrazi-Raffle A, Budde LE, Pal SK. Boosting CAR t cells with anti-tumor mRNA vaccines. Nat Med. 2023;29(11):2711–2. 10.1038/s41591-023-02623-x. [DOI] [PubMed] [Google Scholar]
- 262.Pan Y, Phillips JW, Zhang BD, Noguchi M, Kutschera E, et al. IRIS: discovery of cancer immunotherapy targets arising from pre-mRNA alternative splicing. Proc Natl Acad Sci U S A. 2023;120(21):e2221116120. 10.1073/pnas.2221116120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 263.Hawkins ER, D’Souza RR, Klampatsa A. Armored CAR T-cells: the next chapter in T-cell cancer immunotherapy. Biologics. 2021;15:95–105. 10.2147/BTT.S291768. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 264.Li HS, Wong NM, Tague E, Ngo JT, Khalil AS, et al. High-performance multiplex drug-gated CAR circuits. Cancer Cell. 2022;40(11):1294-1305.e4. 10.1016/j.ccell.2022.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 265.Chok R, Ramakrishna S. Allogeneic approach unlocks CAR t cell benefits in solid tumors. Nat Med. 2025;31(3):733–4. 10.1038/s41591-025-03510-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
No datasets were generated or analyzed during the current study.






