Next Article in Journal
Epidemiology and Outcome of Primary Central Nervous System Tumors Treated at King Hussein Cancer Center
Next Article in Special Issue
Personalization of Cancer Treatment: Exploring the Role of Chronotherapy in Immune Checkpoint Inhibitor Efficacy
Previous Article in Journal
Early Rectal Cancer: Advances in Diagnosis and Management Strategies
Previous Article in Special Issue
Synergistic Potential of Antibiotics with Cancer Treatments
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Advancing Immunotherapy in Pancreatic Cancer: A Brief Review of Emerging Adoptive Cell Therapies

1
Department of Internal Medicine, New York Medical College, Metropolitan, New York, NY 10029, USA
2
Department of Internal Medicine, Division of Medical Oncology, The Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, The Ohio State University Comprehensive Cancer Center, Columbus, OH 43210, USA
*
Author to whom correspondence should be addressed.
Cancers 2025, 17(4), 589; https://doi.org/10.3390/cancers17040589
Submission received: 24 December 2024 / Revised: 28 January 2025 / Accepted: 8 February 2025 / Published: 9 February 2025
(This article belongs to the Special Issue Cancer Immunotherapy in Clinical and Translational Research)

Simple Summary

Pancreatic cancer is an aggressive and highly lethal malignancy with limited treatment options as it is usually detected in the advanced stage. There is an urgent need to explore new therapeutic options, and recent studies on adoptive cellular therapy (ACT) look promising, although they are in the early stages. We attempted to review the completed and ongoing studies on ACT to explore the current and future approaches to pancreatic cancer management.

Abstract

Pancreatic cancer has the lowest 5-year survival rate (13%) among major cancers and is the third leading cause of cancer-related deaths in the United States. The high lethality of this cancer is attributed to its insidious onset, late-stage diagnosis, rapid progression, and limited treatment options. Addressing these challenges requires a deeper understanding of the complex tumor microenvironment to identify novel therapeutic targets. Newer approaches like adoptive cell therapy have shown remarkable success in treating hematological malignancies, but their application in solid tumors, particularly pancreatic cancer, is still in the early stages of development. ACT broadly involves isolating immune cells (T lymphocytes, Natural Killer cells, and macrophages) from the patient, followed by genetic engineering to enhance and mount a specific anti-tumor response. Various ACT modalities are under investigation for pancreatic cancer, including chimeric antigen receptor T cells (CAR-T), chimeric antigen receptor NK cells (CAR-NK), tumor-infiltrating lymphocytes (TIL), T-cell receptor (TCR)-engineered T cells, and cytokine-induced killer cells (CIK). Major hurdles have been identifying actionable tumor antigens and delivering focused cellular therapies to overcome the immunosuppressive and dense fibrotic stroma surrounding the pancreatic cancer. Further studies are needed to explore the limitations faced by cellular therapy in pancreatic cancer and identify novel combination treatment approaches in order to improve clinical outcomes.

Graphical Abstract

1. Introduction

Pancreatic cancer is among the most lethal malignancies, representing a significant global health challenge. In 2024, it is projected to cause approximately 51,000 deaths out of 66,000 newly diagnosed cases in the United States alone [1]. With a 5-year survival rate of just 13%, pancreatic cancer has the lowest survival rate among the major cancers. Its incidence is similar among African-American and Caucasian populations. Despite accounting for only 3% of new cancer diagnoses in the United States, pancreatic cancer is currently the third leading cause of cancer-related deaths and is expected to become the second in the near future [2]. Globally, the European region exhibits the highest age-standardized incidence and mortality rates, while the Southeast Asia region reports the lowest [3]. The high lethality of pancreatic cancer is attributed to its insidious onset, late-stage diagnosis, aggressive progression, and limited treatment options. Addressing these challenges requires a deeper understanding of the tumor microenvironment (TME) to identify novel therapeutic targets and expand treatment options, ultimately improving patient outcomes in the long term.
Pancreatic cancer risk factors are broadly categorized into modifiable and non-modifiable factors [4]. Key modifiable risk factors include smoking, excessive alcohol consumption, diets high in red or processed meats, obesity, and infections such as Helicobacter pylori. These factors contribute to the higher incidence observed in developed countries. Non-modifiable risk factors include advanced age, male gender, ethnicity, specific blood groups, microbiota composition, genetic predisposition, and diabetes mellitus. A comprehensive understanding of these risk factors is critical for developing effective prevention and intervention strategies.

2. Current Management of Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinomas (PDAC) account for approximately 90% of primary pancreatic cancers, with the remainder comprising less common types such as squamous, acinar, signet-ring (exocrine), neuroendocrine, and undifferentiated carcinomas [5]. PDAC is typically stratified for risk and management using the tumor-node-metastasis (TNM) system outlined in the eighth edition of the American Joint Committee on Cancer (AJCC) staging manual [6]. While TNM staging informs treatment and prognosis, it does not give sufficient information critical for surgical planning. Another widely used classification system focuses on tumor resectability and the presence of distant metastatic disease at diagnosis [7]. Based on this approach, PDAC is categorized as resectable (R), borderline resectable (BR), locally advanced (LA), or metastatic [8,9,10,11]. Resectability is determined by the degree of tumor involvement with surrounding arteries and veins, typically assessed in a multidisciplinary setting. In R-PDAC, there is no tumor contact with adjacent blood vessels. BR-PDAC involves some tumor contact with blood vessels, with the expectation that systemic chemotherapy (CT) or radiation therapy (RT) can convert these cases to R-PDAC. LA-PDAC, a less clearly defined category, includes tumors with significant involvement of major arteries (e.g., celiac trunk or superior mesenteric artery interface >180°) or veins, rendering both resection and vascular reconstruction infeasible. Following stratification, treatment plans are tailored to the disease stage. For R-PDAC and BR-PDAC, neoadjuvant chemotherapy (NAT), often combined with RT, is now preferred prior to surgical resection. In LA-PDAC, NAT helps to identify patients who may benefit from subsequent surgery. For metastatic PDAC and certain LA cases, clinical trial enrollment is recommended. Systemic chemotherapy, using regimens such as FOLFIRINOX or gemcitabine/nab-paclitaxel (G/NP), remains the cornerstone of treatment for advanced PDAC. Liposomal irinotecan combinations with 5-flurouracil (5FU) and oxaliplatin (NALIRIFOX) is another option for treating naïve PDA patients and is often used in combination with 5FU alone following disease progression on G/NP [12,13]. However, outcomes for metastatic PDAC remain poor, with a 5-year survival rate of only 3% [14,15].

3. Immunotherapy in PDAC

Immunotherapy in PDAC focuses on leveraging the TME and the host immune system [16]. Immune checkpoint inhibitors (ICIs), targeting cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) and programmed cell death protein 1 (PD-1), have shown efficacy in mismatch repair-deficient (MMR-D) tumors, but this subgroup represents only 2% of PDAC patients [17,18,19]. While the ICIs have improved the outcomes of esophageal, liver, and biliary tract cancers, their success in mismatch repair-proficient PDAC remains limited [20,21,22,23,24,25,26,27,28,29]. Emerging immunotherapy strategies, such as oncolytic virus therapy (OVT), adoptive cell transfer therapy (ACT), and cancer vaccines—including innovative KRAS mutant peptide-based vaccines in adjuvant settings—show promising potential across various tumor types, including PDAC [23,30]. Among these, chimeric antigen receptor (CAR) T-cell therapy is being actively investigated as a novel therapeutic strategy in PDAC. The urgent need for new targets and treatment modalities highlights the potential of immunotherapy as a critical avenue for improving outcomes in this challenging and aggressive disease.

3.1. Adoptive Cell Therapy in PDAC

TME is a complex ecosystem that surrounds tumor cells, comprising various immune cell populations that play critical roles in maintaining its pro-tumorigenic nature [18]. These immune cells include lymphocytes (T and B cells), macrophages, natural killer (NK) cells, dendritic cells (DCs), myeloid-derived suppressor cells (MDSCs), neutrophils, and mast cells, as illustrated in Figure 1. Each cell type contributes uniquely to the dynamic interplay within the TME, promoting tumor growth, immune evasion, and resistance to therapy. The immunosuppressive role of tumor cells, tumor vasculature, cancer-associated fibroblasts (CAFs), and the microbiome in immune evasion is well-established [31]. CAFs contribute to immune resistance by secreting extracellular matrix components such as collagen, fibronectin, and hyaluronan, which create a dense physical barrier that restricts blood flow and limits T-cell infiltration into the TME [32,33]. Additionally, tumor endothelial cells and pericytes play a crucial role in neovascularization, promoting the formation of abnormal blood vessels around the tumor [34,35]. These cells release various immunosuppressive signals that hinder T-cell recruitment and impair their anti-tumor activity.
Immune-related TME is important not only for the effectiveness of ICI or other cellular therapy modalities but also for the outcomes, affecting both prognosis and the treatment response. High infiltration of anti-tumor immune cells significantly improved the outcomes of PDA, irrespective of ICI use [36,37,38,39,40,41,42,43].
There is a growing interest in targeting TME to treat PDAC, and ACT is emerging as a key strategy in this effort [23,44]. While ACT has shown remarkable success in treating hematological malignancies, its application in solid tumors, including PDAC, remains in the early stages of development [45,46]. ACT broadly involves isolating immune cells—such as T lymphocytes, NK cells, and macrophages—from the patient, followed by their re-engineering and genetic modification to enhance their anti-tumor activity [47]. Various ACT modalities are under investigation for PDAC, including chimeric antigen receptor T cells (CAR-T), chimeric antigen receptor NK cells (CAR-NK), tumor-infiltrating lymphocytes (TILs), T-cell receptor (TCR)-engineered T cells, and cytokine-induced killer cells (CIK cells). These approaches are currently being evaluated in clinical trials to improve outcomes for this challenging malignancy. The following sections will delve deeper into these ACT modalities and their potential impact on PDAC treatment.

3.1.1. CAR-T in PDAC

The CAR-T cell is a form of ACT that redirects a patient’s T cells to specifically target cancer cells through genetic engineering [48]. CARs are synthetic receptors designed with four main components: an extracellular antigen-binding domain, a hinge region, a transmembrane domain, and one or more intracellular signaling domains [46]. Since the development of first-generation CARs in 1989, subsequent generations have undergone significant advancements to enhance clinical efficacy [49]. To date, five generations of CAR-T cells have been developed, each featuring modifications to the domain structure and the inclusion of additional co-stimulatory molecules. Newer generations of CAR-T cells demonstrate improved T-cell activation, enhanced efficacy, and greater persistence, with the ability to rapidly expand and survive long after infusion.
CAR-T cell production is a complex, multi-step process (see Figure 2) that can be summarized as follows: it starts with leukapheresis to isolate the lymphocytes from the patient (autologous) or donor (allogeneic), followed by their stimulation through antibody-coated beads or plate-bound antibodies to activate them, leukocytes are then transduced with the CAR gene using lentiviral vectors or gamma-retroviral vectors to express the CAR molecule, lymphocytes are expanded in culture to a sufficient number required for the treatment, and CAR-T cells are injected into the patient to simulate the in vivo conditions and lymphodepletion chemotherapy after appropriate quality checks [50,51]. Fresh CAR-T cells should ideally be administered within 24 h of preparation; however, they are often cryopreserved at −180 °C for transportation and can be stored for 10–14 days.
We summarized the results of completed early-phase clinical trials (Phase I or I/II) in Table 1 and ongoing trials in Table 2.
The principal toxicities associated with CAR-T cell therapy are cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) [72]. CRS presents clinically with a spectrum of symptoms, ranging from mild flu-like manifestations to severe vasodilatory shock and end-organ dysfunction, potentially leading to life-threatening complications. Management of CRS involves supportive care, including symptomatic treatment and the use of tocilizumab, an interleukin-6 (IL-6) receptor antagonist, with or without corticosteroids, depending on the severity of the condition. ICANS typically develops after the onset of CRS and exhibits a range of neurological symptoms, from temporary cognitive deficits to fatal cerebral edema. The management of ICANS is stratified by severity: mild cases are treated with supportive measures, severe cases with corticosteroids, and anti-IL-6 therapy is employed only if ICANS occurs alongside CRS. The underlying factors contributing to these toxicities include antigen overlap between cancerous and normal tissues, leading to off-target effects and an exaggerated immune response triggered by CAR-T cell activation.

3.1.2. Tumor-Infiltrating Lymphocyte Therapy (TIL) in PDAC

TIL-based ACT involves isolating TILs from tumor tissues, expanding them in vitro, and reinfusing them into patients to identify and destroy tumor cells [73]. TIL therapy, which has shown promising results in solid tumors such as melanoma, breast, and ovarian cancers, is now being investigated for PDAC [74,75,76,77,78,79,80,81,82,83,84,85,86,87]. In a meta-analysis that examined PDAC-TME, a higher CD8+ T-cell subgroup was associated with significant survival benefits, highlighting the potential of TIL therapy in PDAC [38]. TILs therapy has unique advantages, including its ability to target tumor-specific neoantigens due to the presence of multiple T-cell receptor clones, its ease of extraction from tumor tissue owing to the high number of effector memory T cells, and its low toxicity profile since it utilizes autologous cells without genetic modification [73,88].
TILs production involves isolating naturally occurring lymphocytes from the tumor tissue obtained via biopsy or surgery [89]. These lymphocytes are expanded ex vivo and re-infused into the patient to combat cancer. TILs are cultured in high doses of interleukin-2 (IL-2) and undergo rapid expansion using anti-CD3 antibodies. Due to the complexity and labor-intensive nature of manufacturing, TIL therapy is available only at specialized cancer centers and requires several weeks for production. Efforts are underway to simplify this process by incorporating closed-system bioreactors and leveraging blood bank infrastructure to improve patient accessibility. If immediate infusion is not feasible, TILs can be cryopreserved and transported. After lymphodepletion chemotherapy (cyclophosphamide and fludarabine), TILs are infused, followed by a high-dose bolus of IL-2 every 8–12 h for 2–5 days (to enhance their persistence and function) [90].
In a study involving 17 patients, including 5 with PDAC, the best response was observed in a PDAC patient with stable disease for 17 months [88]. However, this patient, who had liver and peritoneal metastases, exhibited no response at the primary tumor site. Overall, no objective responses (OR) were recorded among the PDAC cohort, with three achieving stable disease (SD) and two progressing (PD). Progression-free survival (PFS) and overall survival (OS) for the PDAC patients were 2.43 months and 14.49 months, respectively, which were worse compared to the overall study population (PFS: 2.53 months, OS: 18.86 months) [70]. Bone marrow suppression emerged as a concerning high-grade adverse event across the entire study cohort. TIL therapy for PDAC remains in its early stages, and ongoing clinical trials are summarized in Table 3. Continued research is essential to optimize this approach and improve patient outcomes with PDAC.

3.1.3. CAR-NK Cell Therapy

NK cells play a pivotal role as part of the body’s first line of defense against cancer. Genetically engineered NK cells have demonstrated the ability to mount specific and targeted anti-tumor responses, offering a promising avenue for cancer immunotherapy [91]. CAR-NK cell manufacturing is also complex, like CAR-T production, and involves the following steps: NK cells are isolated in sufficient numbers from peripheral blood mononuclear cells (PBMC) of a healthy donor using isolation kits; they are stimulated and engineered to express CARs and expanded with cytokines for clinical-grade application and activated CAR-NK cells are administered without irradiation allowing them to expand in vivo [92,93]. CAR-NK cells offer advantages over CAR-T cells, including lacking HLA matching requirements, reduced graft-versus-host disease (GVHD) risk, and off-the-shelf availability for multiple patients. These cells can be derived from sources such as PBMCs, umbilical cord blood (UCB), CD34+ hematopoietic progenitor cells (HPCs), induced pluripotent stem cells (iPSCs), and established cell lines (e.g., NK-92, NKG, NKL) [92]. NK cells exhibit anti-tumor responses through both CAR-dependent and CAR-independent mechanisms, such as antibody-dependent cellular cytotoxicity (ADCC).
Preclinical studies involving chimeric antigen receptor NK (CAR-NK) cells targeting prostate stem cell antigen (PSCA) and mesothelin in PDAC have shown encouraging results, raising hope for their clinical application in select patient populations [94,95]. Compared to CAR-T cells, CAR-NK cells offer potential advantages, including reduced toxicity due to their shorter half-life and distinct cytokine profile, as well as a lower likelihood of inducing alloreactivity, making them suitable for “off-the-shelf” therapeutic products [23,96]. However, several limitations hinder their clinical implementation. These include technical challenges in manufacturing, poor tumor infiltration, and the short half-life of NK cells, which necessitates repeated administrations to sustain therapeutic effects [97,98]. We discussed ongoing CAR-NK trials in Table 3.

3.1.4. TCR-Engineered T-Cell Therapy

Genetically engineered T-cell receptor (TCR-T) therapy modifies TCRs to recognize and eliminate tumor cells [99,100]. Unlike CARs, which require tumor antigens to present on the cell surface, TCRs detect intracellular proteins presented via the human leukocyte antigen (HLA) system. TCR-T cells are generated by collecting T cells from either patients (autologous) or healthy donors (allogeneic) and stimulating them in vitro to selectively expand those with the desired specificity [101,102,103,104]. Stimulation is achieved using antigen-presenting cells (either autologous or artificial) that present the target antigen through exogenous peptide or cDNA/RNA delivery. Antigen-specific T cells are isolated using methods such as magnetic bead separation, fluorescence-activated cell sorting (FACS), or IFN-γ capture assays. The T cells of interest are then cloned via polymerase chain reaction (PCR) amplification using various techniques, including limiting dilution, single-cell reverse transcription PCR (RT-PCR), and single-cell RNA sequencing. Prior to infusion, patients undergo lymphodepletion therapy with cyclophosphamide and fludarabine to enhance the engraftment of the genetically engineered T cells. Although these cells can be cryopreserved for extended periods, their viability significantly declines within six hours of thawing [105].
Commonly targeted antigens in TCR therapy include mesothelin (MSLN), epidermal growth factor receptor (EGFR), claudin 18.2 (CLDN), CD133, and human epidermal growth factor receptor 2 (HER2). Notably, a study by Leidner et al. demonstrated that TCRs targeting mutant KRAS (KRAS12D) elicited responses in one patient with metastatic PDAC, highlighting the potential of TCR-based therapies in this challenging cancer type [106]. We discussed the ongoing TCR trials in Table 3.

3.1.5. Cytokine-Induced Killer (CIK) Cells

CIK cells are a heterogeneous group of CD8+ T (CD3+CD56−) cells that exhibit a hybrid phenotype, combining features of both T cells and natural killer (NK) cells. These cells are generated by incubating human-derived peripheral lymphocytes with anti-CD3 antibodies and cytokines [107,108,109]. CIK cells have shown the potential to enhance the efficacy of other anti-cancer therapies, such as ICIs and chemotherapy, by amplifying anti-tumor responses [110]. It addresses several limitations associated with CAR-T therapy, including the need for large blood volumes for leukapheresis, complex gene transfer processes, and high production costs [111].
Preclinical and clinical studies have demonstrated synergistic effects when CIK therapy is combined with chemotherapy in pancreatic cancer [108,109]. In a randomized study evaluating the addition of the chemotherapy agent S-1 to CIK therapy, a slight improvement in progression-free survival (PFS) was observed (2.5 months vs. 2.9 months, p = 0.03), although overall survival (OS) was comparable between the groups (6.1 months vs. 6.6 months, p = 0.09) [109]. Hematological toxicity was similar across both groups, but the incidence of non-infectious fever was significantly higher in the CIK group (32% vs. 3.3%, p = 0.004). In another study involving 47 patients with advanced pancreatic ductal adenocarcinoma (PDAC), the median OS and PFS were notably higher in the group treated with dendritic cell-CIK (DC-CIK) therapy combined with S-1 (212 and 136 days, respectively) compared to those receiving DC-CIK therapy alone (128 and 85 days), chemotherapy alone (141 and 92 days), or supportive care only (52 and 43 days) [112]. These findings suggest that CIK-based therapies, particularly when combined with other modalities, hold promise for improving outcomes in advanced PDAC patients. We discussed the ongoing CIK cell therapy in PDAC in Table 3.

4. Discussion

ACTs have shown great promise in cancer treatment; however, their clinical success remains challenged by several obstacles. Despite these hurdles, ongoing research and innovation are continuously advancing strategies to enhance their effectiveness and overcome existing limitations.

4.1. Challenges in ACT

Immunosuppressive TME is an independent poor prognostic factor and presents a significant challenge to achieving effective outcomes with immune therapies, including ICI and ACT [31]. These challenges are not unique to PDAC but impact their broader clinical application. The success of CAR-T therapy largely depends on the selection of appropriate targets. Many current studies have repurposed tumor-associated antigens (TAAs) from other malignancies—such as CEA, Claudin, mesothelin, EGFR, and HER2—with varying degrees of success. The modest responses observed in past clinical trials, combined with a high risk of toxicities such as CRS and ICANS, emphasize the need to identify more reliable target antigens. Key concerns include antigen escape (loss of target antigen expression in tumor cells), off-target effects (attack on normal cells expressing the target antigen), and the potential for secondary malignancies [46,113]. CAR-T cell exhaustion, characterized by impaired T-cell proliferation and effector function due to persistent antigen stimulation, remains a major cause of treatment resistance and tumor relapse [114].
Similar challenges exist with TCR-T therapies, including target selection, exhaustion, toxicity, and off-target effects. Additionally, TCRs are restricted to recognizing antigens presented by HLA class I molecules, which may limit their applicability to tumors with heterogeneous antigen presentation [115]. Despite the advantages of CAR-NK therapy over CAR-T therapy, challenges such as difficulty in ex vivo expansion, freezing and storage limitations, lower cytotoxicity compared to CAR-T cells, low circulating levels, and limited commercial partnerships hinder its clinical adoption [116].
In contrast, TIL therapy offers the advantage of using autologous cells without extensive genetic modification, thereby reducing toxicity risks. However, several logistical and economic barriers hinder its widespread use, including the requirement for fresh tumor tissue, the labor-intensive process of generating and expanding TILs with IL-2, anti-CD3, and feeder cells, and the eventual reinfusion into the patient [117]. Furthermore, conditioning chemotherapy (cyclophosphamide and fludarabine) used prior to TIL infusion often results in bone marrow suppression, while IL-2 administration is associated with adverse effects such as tachycardia, hypotension, rash, diarrhea, dyspnea, anuria, and edema [118]. The heterogeneity of cell populations is the main drawback of CIK cellular therapies [119]. An increased presence of CD4+ T cells and regulatory T cells (Tregs) within the TME can impair cytotoxicity and induce T-cell exhaustion, ultimately reducing the treatment’s efficacy [120].
In conclusion, while immune therapies such as CAR-T, TCR-T, TIL, CAR-NK, and CIK therapies hold significant promise for the treatment of PDAC and other malignancies, several challenges must be addressed to optimize their efficacy and safety.

4.2. Future Directions in ACT

Enhancing the TME to reduce immunosuppression and improve T-cell infiltration is crucial for the success of ACTs. Strategies such as targeting angiogenesis, depleting tumor-associated macrophages, and inhibiting cancer-associated fibroblasts responsible for the dense extracellular matrix have shown promise in preclinical studies [121,122,123,124,125,126]. Therapeutic approaches involving vascular endothelial growth factor A (VEGFA) and angiopoietin-2 inhibitors, as well as other signaling pathways, are currently being explored in combination with ACTs [127,128,129,130].
Identifying novel PDAC-specific targets is crucial for advancing CAR-T and TCR therapies. Several promising targets currently under investigation for PDAC include natural killer group 2D (NKG2D), fibroblast activation protein (FAP), CD318, TSPAN8, and CD66c [131,132,133]. Innovative approaches such as TCR-CAR and TCR-like CAR, which combine the strengths of CAR and TCR platforms, are being explored to enhance therapeutic efficacy [134]. In TCR-CAR, a soluble TCR is fused to the CAR signaling tail, while TCR-like CAR incorporates TCR-like antibodies capable of recognizing the peptide/major histocompatibility complex (MHC) on tumor cell surfaces, combined with CAR signaling to improve target specificity [135,136]. Additionally, combining CAR-T therapy with PD-1 blockade—either via ICIs or intrinsic signaling pathway modifications—is being explored to mitigate CAR-T exhaustion and enhance efficacy [137,138,139,140,141,142,143]. Early-phase studies have demonstrated potential in prostate, breast, and pleural malignancies; however, similar efforts in PDAC remain limited. Likewise, the combination of CAR-T therapy with transforming growth factor beta (TGF-β) signal blockade is being explored to counteract the immunosuppressive TME [144,145,146,147]. Additionally, CAR-T therapy is being studied in combination with other agents, including CD20-targeting antibodies (rituximab, obinutuzumab, and glofitamab), Bruton tyrosine kinase (BTK) inhibitors (acalabrutinib and ibrutinib), and lenalidomide, to further enhance efficacy [148]. In prostate cancer, CAR-T is also being evaluated in conjunction with radiation therapy (NCT05805371), and vaccine combinations are currently under review for hematological malignancies [148]. Encouraging similar research efforts in PDAC is critical to expanding treatment options and improving patient outcomes.
Furthermore, various novel CAR designs are being developed to prevent prolonged antigen exposure and enhance control over CAR-T cell activity, such as drug-stabilizing, drug-destabilizing, inducible (via doxycycline), self-driving (under control of AP1-NF-kB or STAT5), TME-driven (induced by IFN-γ, NFκB, and hypoxia), switch, and split CARs [149,150,151,152,153]. The switch and split CARs are engineered by uncoupling the activation domains to prevent prolonged exposure to the target. Synthetic Notch (SynNotch) receptors and bispecific adapters, which drive the expression of CARs upon tumor antigen recognition, are in early development stages and show the potential to enhance therapeutic outcomes [154,155]. Synthetic TCR and antigen receptor (STAR) and T-cell receptor fusion constructs (TRuCs)-T cells integrate antigen-recognition domains to improve specificity and reduce the toxicity of TCR-T cells [156,157]. An antibody-based binding domain fused to TCR in TRuCs and a double-chain chimeric receptor are constructed that incorporates the antibody’s antigen-recognition domain and constant regions of TCR that engage endogenous CD3 signaling machinery in STARs.
TIL therapy continues to evolve, with combinations involving ICIs showing promise in cancers such as breast, head and neck, cervical, colon, thyroid, and melanoma [85,158,159,160,161,162]. Research is currently exploring next-generation TILs, including tumor-infiltrating B cells (TIL-B) and PD-1-inactivated TILs, to optimize their therapeutic efficacy, the development of modified interleukins, such as IL-2 superkines with enhanced affinity for the IL-2 β subunit and IL-15 super agonist complexes, is being investigated to enhance their clinical potential further [163,164,165]. Improvement in the processes involved in TILs therapies, such as automation of various stages (cell isolation and expansion) using the latest technology, standardization of the protocols, and strong collaborations among the stakeholders (industries, hospitals, and healthcare leaders) will be crucial in scaling up TIL therapy for widespread clinical use [166,167].
CAR-NK cells are also being evaluated in combination with ICIs and other agents, such as lenalidomide and azacytidine, to improve their efficacy [168]. Standardized protocols for cytokine-induced killer (CIK) cell expansion are needed to optimize cell composition (T regs and CD4 cells) and efficacy. Retrospective studies have shown promising results when combining CIK therapy with chemotherapy and ICIs, highlighting its potential in PDAC and other malignancies [169,170,171,172,173]. Gene editing remains a critical area of research, with clustered regularly interspaced palindromic repeats-associated protein 9 (CRISPR-Cas9) technology being utilized to enhance TIL, TCR-T, and CAR-T cell function by knocking out genes such as PCDCD1 to improve persistence, reduce exhaustion, and ultimately improve the outcomes in aggressive tumors such as PDAC [117,174,175,176,177].
In conclusion, expanding the therapeutic landscape of ACT through novel combinations and technological advancements holds promise for improving clinical outcomes. Continued research and collaboration will be critical in translating these findings into effective treatment options for PDAC and other challenging malignancies.

5. Conclusions

ACTs offer a promising approach for improving outcomes in PDAC, a malignancy with limited treatment options and poor prognosis. Despite significant challenges, ongoing advancements in immunotherapy, including CAR-T, TCR-T, TIL, CAR-NK, and CIK cell therapies, are paving the way for more effective and personalized treatment strategies. Overcoming barriers, such as immunosuppressive TME, target antigen selection, and therapy-related toxicities, is crucial for maximizing the potential of these therapies. Future research efforts should focus on optimizing the manufacturing processes, enhancing therapeutic efficacy through combination strategies, and fostering collaborative efforts among stakeholders. Ultimately, continued innovation and clinical investigation will be key to translating these promising therapies into viable treatment options for PDAC and other malignancies.

Author Contributions

Conceptualization, A.M.; resources, D.S.; writing—original draft preparation, D.S.; writing—review and editing, A.M.; visualization, A.M.; supervision, A.M. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable. Institutional data were not used for this project.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

biorender.com was used to make figures.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Siegel, R.L.; Giaquinto, A.N.; Jemal, A. Cancer statistics, 2024. CA Cancer J. Clin. 2024, 74, 12–49. [Google Scholar] [CrossRef] [PubMed]
  2. Wood, L.D.; Canto, M.I.; Jaffee, E.M.; Simeone, D.M. Pancreatic Cancer: Pathogenesis, Screening, Diagnosis, and Treatment. Gastroenterology 2022, 163, 386–402.e381. [Google Scholar] [CrossRef] [PubMed]
  3. Ilic, I.; Ilic, M. International patterns in incidence and mortality trends of pancreatic cancer in the last three decades: A joinpoint regression analysis. World J. Gastroenterol. 2022, 28, 4698–4715. [Google Scholar] [CrossRef] [PubMed]
  4. Hu, J.X.; Zhao, C.F.; Chen, W.B.; Liu, Q.C.; Li, Q.W.; Lin, Y.Y.; Gao, F. Pancreatic cancer: A review of epidemiology, trend, and risk factors. World J. Gastroenterol. 2021, 27, 4298–4321. [Google Scholar] [CrossRef]
  5. Adamska, A.; Domenichini, A.; Falasca, M. Pancreatic Ductal Adenocarcinoma: Current and Evolving Therapies. Int. J. Mol. Sci. 2017, 18, 1338. [Google Scholar] [CrossRef]
  6. Roalsø, M.; Aunan, J.R.; Søreide, K. Refined TNM-staging for pancreatic adenocarcinoma—Real progress or much ado about nothing? Eur. J. Surg. Oncol. 2020, 46, 1554–1557. [Google Scholar] [CrossRef]
  7. Al-Hawary, M.M.; Francis, I.R.; Chari, S.T.; Fishman, E.K.; Hough, D.M.; Lu, D.S.; Macari, M.; Megibow, A.J.; Miller, F.H.; Mortele, K.J.; et al. Pancreatic ductal adenocarcinoma radiology reporting template: Consensus statement of the Society of Abdominal Radiology and the American Pancreatic Association. Radiology 2014, 270, 248–260. [Google Scholar] [CrossRef]
  8. Evans, D.B. What Makes a Pancreatic Cancer Resectable? Am. Soc. Clin. Oncol. Educ. Book 2018, 38, 300–305. [Google Scholar] [CrossRef]
  9. Vernuccio, F.; Messina, C.; Merz, V.; Cannella, R.; Midiri, M. Resectable and Borderline Resectable Pancreatic Ductal Adenocarcinoma: Role of the Radiologist and Oncologist in the Era of Precision Medicine. Diagnostics 2021, 11, 2166. [Google Scholar] [CrossRef]
  10. Isaji, S.; Mizuno, S.; Windsor, J.A.; Bassi, C.; Fernández-Del Castillo, C.; Hackert, T.; Hayasaki, A.; Katz, M.H.G.; Kim, S.W.; Kishiwada, M.; et al. International consensus on definition and criteria of borderline resectable pancreatic ductal adenocarcinoma 2017. Pancreatology 2018, 18, 2–11. [Google Scholar] [CrossRef]
  11. Barcellini, A.; Peloso, A.; Pugliese, L.; Vitolo, V.; Cobianchi, L. Locally Advanced Pancreatic Ductal Adenocarcinoma: Challenges and Progress. OncoTargets Ther. 2020, 13, 12705–12720. [Google Scholar] [CrossRef] [PubMed]
  12. Wainberg, Z.A.; Melisi, D.; Macarulla, T.; Pazo-Cid, R.; Chandana, S.R.; De La Fouchardiere, C.; Dean, A.P.; Kiss, I.; Lee, W.; Goetze, T.O.; et al. NAPOLI-3: A randomized, open-label phase 3 study of liposomal irinotecan + 5-fluorouracil/leucovorin + oxaliplatin (NALIRIFOX) versus nab-paclitaxel + gemcitabine in treatment-naïve patients with metastatic pancreatic ductal adenocarcinoma (mPDAC). J. Clin. Oncol. 2023, 41, LBA661. [Google Scholar] [CrossRef]
  13. Dayyani, F.; Macarulla, T.; Johnson, A.; Wainberg, Z.A. Second-line treatment options for patients with metastatic pancreatic ductal adenocarcinoma: A systematic literature review. Cancer Treat. Rev. 2023, 113, 102502. [Google Scholar] [CrossRef] [PubMed]
  14. Von Hoff, D.D.; Ervin, T.; Arena, F.P.; Chiorean, E.G.; Infante, J.; Moore, M.; Seay, T.; Tjulandin, S.A.; Ma, W.W.; Saleh, M.N.; et al. Increased Survival in Pancreatic Cancer with nab-Paclitaxel plus Gemcitabine. N. Engl. J. Med. 2013, 369, 1691–1703. [Google Scholar] [CrossRef] [PubMed]
  15. Conroy, T.; Desseigne, F.; Ychou, M.; Bouché, O.; Guimbaud, R.; Bécouarn, Y.; Adenis, A.; Raoul, J.-L.; Gourgou-Bourgade, S.; De La Fouchardière, C.; et al. FOLFIRINOX versus Gemcitabine for Metastatic Pancreatic Cancer. N. Engl. J. Med. 2011, 364, 1817–1825. [Google Scholar] [CrossRef]
  16. Dillman, R.O. Cancer immunotherapy. Cancer Biother. Radiopharm. 2011, 26, 1–64. [Google Scholar] [CrossRef]
  17. Nasar, N.; Eikenboom, E.; Seier, K.; Gonen, M.; Wagner, A.; Jarnagin, W.R.; Drebin, J.A.; D’Angelica, M.I.; Kingham, T.P.; Balachandran, V.P.; et al. Survival of patients with microsatellite instability-high and Lynch syndrome-associated pancreatic ductal adenocarcinomas. J. Clin. Oncol. 2024, 42, 640. [Google Scholar] [CrossRef]
  18. Velcheti, V.; Schalper, K. Basic Overview of Current Immunotherapy Approaches in Cancer. Am. Soc. Clin. Oncol. Educ. Book 2016, 35, 298–308. [Google Scholar] [CrossRef]
  19. Esfahani, K.; Roudaia, L.; Buhlaiga, N.; Del Rincon, S.V.; Papneja, N.; Miller, W.H., Jr. A review of cancer immunotherapy: From the past, to the present, to the future. Curr. Oncol. 2020, 27, S87–S97. [Google Scholar] [CrossRef]
  20. Sangro, B.; Chan, S.L.; Kelley, R.K.; Lau, G.; Kudo, M.; Sukeepaisarnjaroen, W.; Yarchoan, M.; De Toni, E.N.; Furuse, J.; Kang, Y.K.; et al. Four-year overall survival update from the phase III HIMALAYA study of tremelimumab plus durvalumab in unresectable hepatocellular carcinoma. Ann. Oncol. 2024, 35, 448–457. [Google Scholar] [CrossRef]
  21. Finn, R.S.; Qin, S.; Ikeda, M.; Galle, P.R.; Ducreux, M.; Kim, T.-Y.; Lim, H.Y.; Kudo, M.; Breder, V.V.; Merle, P.; et al. IMbrave150: Updated overall survival (OS) data from a global, randomized, open-label phase III study of atezolizumab (atezo) + bevacizumab (bev) versus sorafenib (sor) in patients (pts) with unresectable hepatocellular carcinoma (HCC). J. Clin. Oncol. 2021, 39, 267. [Google Scholar] [CrossRef]
  22. Oh, D.-Y.; Ruth He, A.; Qin, S.; Chen, L.-T.; Okusaka, T.; Vogel, A.; Kim, J.W.; Suksombooncharoen, T.; Ah Lee, M.; Kitano, M.; et al. Durvalumab plus Gemcitabine and Cisplatin in Advanced Biliary Tract Cancer. N. Engl. J. Med. Evid. 2022, 1, EVIDoa2200015. [Google Scholar] [CrossRef] [PubMed]
  23. Farhangnia, P.; Khorramdelazad, H.; Nickho, H.; Delbandi, A.-A. Current and future immunotherapeutic approaches in pancreatic cancer treatment. J. Hematol. Oncol. 2024, 17, 40. [Google Scholar] [CrossRef] [PubMed]
  24. Callahan, M.; Amin, A.; Kaye, F.J.; Morse, M.A.; Taylor, M.H.; Peltola, K.J.; Sharma, P.; O’Reilly, E.M.; Meadows Shropshire, S.; O’Brien, S.; et al. Nivolumab monotherapy or combination with ipilimumab with or without cobimetinib in previously treated patients with pancreatic adenocarcinoma (CheckMate 032). J. Immunother. Cancer 2024, 12, e007883. [Google Scholar] [CrossRef]
  25. Renouf, D.J.; Loree, J.M.; Knox, J.J.; Topham, J.T.; Kavan, P.; Jonker, D.; Welch, S.; Couture, F.; Lemay, F.; Tehfe, M.; et al. The CCTG PA.7 phase II trial of gemcitabine and nab-paclitaxel with or without durvalumab and tremelimumab as initial therapy in metastatic pancreatic ductal adenocarcinoma. Nat. Commun. 2022, 13, 5020. [Google Scholar] [CrossRef]
  26. Padrón, L.J.; Maurer, D.M.; O’Hara, M.H.; O’Reilly, E.M.; Wolff, R.A.; Wainberg, Z.A.; Ko, A.H.; Fisher, G.; Rahma, O.; Lyman, J.P.; et al. Sotigalimab and/or nivolumab with chemotherapy in first-line metastatic pancreatic cancer: Clinical and immunologic analyses from the randomized phase 2 PRINCE trial. Nat. Med. 2022, 28, 1167–1177. [Google Scholar] [CrossRef]
  27. Bockorny, B.; Macarulla, T.; Semenisty, V.; Borazanci, E.; Feliu, J.; Ponz-Sarvise, M.; Abad, D.G.; Oberstein, P.; Alistar, A.; Muñoz, A.; et al. Motixafortide and Pembrolizumab Combined to Nanoliposomal Irinotecan, Fluorouracil, and Folinic Acid in Metastatic Pancreatic Cancer: The COMBAT/KEYNOTE-202 Trial. Clin. Cancer Res. 2021, 27, 5020–5027. [Google Scholar] [CrossRef]
  28. O’Reilly, E.M.; Oh, D.-Y.; Dhani, N.; Renouf, D.J.; Lee, M.A.; Sun, W.; Fisher, G.; Hezel, A.; Chang, S.-C.; Vlahovic, G.; et al. Durvalumab With or Without Tremelimumab for Patients with Metastatic Pancreatic Ductal Adenocarcinoma: A Phase 2 Randomized Clinical Trial. JAMA Oncol. 2019, 5, 1431–1438. [Google Scholar] [CrossRef]
  29. Royal, R.E.; Levy, C.; Turner, K.; Mathur, A.; Hughes, M.; Kammula, U.S.; Sherry, R.M.; Topalian, S.L.; Yang, J.C.; Lowy, I.; et al. Phase 2 trial of single agent Ipilimumab (anti-CTLA-4) for locally advanced or metastatic pancreatic adenocarcinoma. J. Immunother. 2010, 33, 828–833. [Google Scholar] [CrossRef]
  30. Haldar, S.D.; Huff, A.; Diwan, E.A.; Ferguson, A.; Judkins, C.; Lu, J.; Wang, H.; Sinan, H.; Thoburn, C.; Bever, K.M.; et al. Abstract CT022: Mutant KRAS peptide-based vaccine in patients at high risk of developing pancreatic cancer: Preliminary analysis from a phase I study. Cancer Res. 2024, 84, CT022. [Google Scholar] [CrossRef]
  31. Hanahan, D.; Michielin, O.; Pittet, M.J. Convergent inducers and effectors of T cell paralysis in the tumour microenvironment. Nat. Rev. Cancer 2025, 25, 41–58. [Google Scholar] [CrossRef] [PubMed]
  32. Dominguez, C.X.; Müller, S.; Keerthivasan, S.; Koeppen, H.; Hung, J.; Gierke, S.; Breart, B.; Foreman, O.; Bainbridge, T.W.; Castiglioni, A.; et al. Single-Cell RNA Sequencing Reveals Stromal Evolution into LRRC15(+) Myofibroblasts as a Determinant of Patient Response to Cancer Immunotherapy. Cancer Discov. 2020, 10, 232–253. [Google Scholar] [CrossRef] [PubMed]
  33. Yang, D.; Liu, J.; Qian, H.; Zhuang, Q. Cancer-associated fibroblasts: From basic science to anticancer therapy. Exp. Mol. Med. 2023, 55, 1322–1332. [Google Scholar] [CrossRef] [PubMed]
  34. Verhoeven, J.; Jacobs, K.A.; Rizzollo, F.; Lodi, F.; Hua, Y.; Poźniak, J.; Narayanan Srinivasan, A.; Houbaert, D.; Shankar, G.; More, S.; et al. Tumor endothelial cell autophagy is a key vascular-immune checkpoint in melanoma. EMBO Mol. Med. 2023, 15, e18028. [Google Scholar] [CrossRef]
  35. Dabravolski, S.A.; Andreeva, E.R.; Eremin, I.I.; Markin, A.M.; Nadelyaeva, I.I.; Orekhov, A.N.; Melnichenko, A.A. The Role of Pericytes in Regulation of Innate and Adaptive Immunity. Biomedicines 2023, 11, 600. [Google Scholar] [CrossRef]
  36. Miksch, R.C.; Schoenberg, M.B.; Weniger, M.; Bösch, F.; Ormanns, S.; Mayer, B.; Werner, J.; Bazhin, A.V.; D’Haese, J.G. Prognostic Impact of Tumor-Infiltrating Lymphocytes and Neutrophils on Survival of Patients with Upfront Resection of Pancreatic Cancer. Cancers 2019, 11, 39. [Google Scholar] [CrossRef]
  37. Panahi, M.; Rezagholizadeh, F.; Mollazadehghomi, S.; Farhangnia, P.; Niya, M.H.K.; Ajdarkosh, H.; Tameshkel, F.S.; Heshmati, S.M. The association between CD3+ and CD8+ tumor-infiltrating lymphocytes (TILs) and prognosis in patients with pancreatic adenocarcinoma. Cancer Treat. Res. Commun. 2023, 35, 100699. [Google Scholar] [CrossRef]
  38. Orhan, A.; Vogelsang, R.P.; Andersen, M.B.; Madsen, M.T.; Hölmich, E.R.; Raskov, H.; Gögenur, I. The prognostic value of tumour-infiltrating lymphocytes in pancreatic cancer: A systematic review and meta-analysis. Eur. J. Cancer 2020, 132, 71–84. [Google Scholar] [CrossRef]
  39. Guo, J.; Wu, M.; Guo, L.; Zuo, Q. Pretreatment blood neutrophil/lymphocyte ratio is associated with metastasis and predicts survival in patients with pancreatic cancer. Bull. Cancer 2018, 105, 146–154. [Google Scholar] [CrossRef]
  40. Ino, Y.; Yamazaki-Itoh, R.; Shimada, K.; Iwasaki, M.; Kosuge, T.; Kanai, Y.; Hiraoka, N. Immune cell infiltration as an indicator of the immune microenvironment of pancreatic cancer. Br. J. Cancer 2013, 108, 914–923. [Google Scholar] [CrossRef]
  41. Guo, J.; Wang, S.; Gao, Q. An integrated overview of the immunosuppression features in the tumor microenvironment of pancreatic cancer. Front. Immunol. 2023, 14, 1258538. [Google Scholar] [CrossRef]
  42. Huber, M.; Brehm, C.U.; Gress, T.M.; Buchholz, M.; Alashkar Alhamwe, B.; von Strandmann, E.P.; Slater, E.P.; Bartsch, J.W.; Bauer, C.; Lauth, M. The Immune Microenvironment in Pancreatic Cancer. Int. J. Mol. Sci. 2020, 21, 7307. [Google Scholar] [CrossRef] [PubMed]
  43. Galon, J.; Bruni, D. Tumor Immunology and Tumor Evolution: Intertwined Histories. Immunity 2020, 52, 55–81. [Google Scholar] [CrossRef] [PubMed]
  44. Hartupee, C.; Nagalo, B.M.; Chabu, C.Y.; Tesfay, M.Z.; Coleman-Barnett, J.; West, J.T.; Moaven, O. Pancreatic cancer tumor microenvironment is a major therapeutic barrier and target. Front. Immunol. 2024, 15, 1287459. [Google Scholar] [CrossRef]
  45. Kirtane, K.; Elmariah, H.; Chung, C.H.; Abate-Daga, D. Adoptive cellular therapy in solid tumor malignancies: Review of the literature and challenges ahead. J. Immunother. Cancer 2021, 9, e002723. [Google Scholar] [CrossRef]
  46. Sterner, R.C.; Sterner, R.M. CAR-T cell therapy: Current limitations and potential strategies. Blood Cancer J. 2021, 11, 69. [Google Scholar] [CrossRef]
  47. Depil, S.; Duchateau, P.; Grupp, S.A.; Mufti, G.; Poirot, L. ’Off-the-shelf’ allogeneic CAR T cells: Development and challenges. Nat. Rev. Drug Discov. 2020, 19, 185–199. [Google Scholar] [CrossRef]
  48. DeSelm, C.J.; Tano, Z.E.; Varghese, A.M.; Adusumilli, P.S. CAR T-cell therapy for pancreatic cancer. J. Surg. Oncol. 2017, 116, 63–74. [Google Scholar] [CrossRef]
  49. Asmamaw Dejenie, T.; Tiruneh G/Medhin, M.; Dessie Terefe, G.; Tadele Admasu, F.; Wale Tesega, W.; Chekol Abebe, E. Current updates on generations, approvals, and clinical trials of CAR T-cell therapy. Hum. Vaccines Immunother. 2022, 18, 2114254. [Google Scholar] [CrossRef]
  50. Papathanasiou, M.M.; Stamatis, C.; Lakelin, M.; Farid, S.; Titchener-Hooker, N.; Shah, N. Autologous CAR T-cell therapies supply chain: Challenges and opportunities? Cancer Gene Ther. 2020, 27, 799–809. [Google Scholar] [CrossRef]
  51. Watanabe, N.; Mo, F.; McKenna, M.K. Impact of Manufacturing Procedures on CAR T Cell Functionality. Front. Immunol. 2022, 13, 876339. [Google Scholar] [CrossRef] [PubMed]
  52. Wang, Y.; Chen, M.; Wu, Z.; Tong, C.; Dai, H.; Guo, Y.; Liu, Y.; Huang, J.; Lv, H.; Luo, C.; et al. CD133-directed CAR T cells for advanced metastasis malignancies: A phase I trial. Oncoimmunology 2018, 7, e1440169. [Google Scholar] [CrossRef] [PubMed]
  53. Ding, Q.; Miyazaki, Y.; Tsukasa, K.; Matsubara, S.; Yoshimitsu, M.; Takao, S. CD133 facilitates epithelial-mesenchymal transition through interaction with the ERK pathway in pancreatic cancer metastasis. Mol. Cancer 2014, 13, 15. [Google Scholar] [CrossRef]
  54. Maeda, S.; Shinchi, H.; Kurahara, H.; Mataki, Y.; Maemura, K.; Sato, M.; Natsugoe, S.; Aikou, T.; Takao, S. CD133 expression is correlated with lymph node metastasis and vascular endothelial growth factor-C expression in pancreatic cancer. Br. J. Cancer 2008, 98, 1389–1397. [Google Scholar] [CrossRef]
  55. Katz, S.C.; Moody, A.E.; Guha, P.; Hardaway, J.C.; Prince, E.; LaPorte, J.; Stancu, M.; Slansky, J.E.; Jordan, K.R.; Schulick, R.D.; et al. HITM-SURE: Hepatic immunotherapy for metastases phase Ib anti-CEA CAR-T study utilizing pressure enabled drug delivery. J. Immunother. Cancer 2020, 8, e001097. [Google Scholar] [CrossRef]
  56. Meng, Q.; Shi, S.; Liang, C.; Liang, D.; Xu, W.; Ji, S.; Zhang, B.; Ni, Q.; Xu, J.; Yu, X. Diagnostic and prognostic value of carcinoembryonic antigen in pancreatic cancer: A systematic review and meta-analysis. OncoTargets Ther. 2017, 10, 4591–4598. [Google Scholar] [CrossRef]
  57. Hall, C.; Clarke, L.; Pal, A.; Buchwald, P.; Eglinton, T.; Wakeman, C.; Frizelle, F. A Review of the Role of Carcinoembryonic Antigen in Clinical Practice. Ann. Coloproctol. 2019, 35, 294–305. [Google Scholar] [CrossRef]
  58. van Manen, L.; Groen, J.V.; Putter, H.; Vahrmeijer, A.L.; Swijnenburg, R.-J.; Bonsing, B.A.; Mieog, J.S.D. Elevated CEA and CA19-9 serum levels independently predict advanced pancreatic cancer at diagnosis. Biomarkers 2020, 25, 186–193. [Google Scholar] [CrossRef]
  59. Kato, H.; Kishiwada, M.; Hayasaki, A.; Chipaila, J.; Maeda, K.; Noguchi, D.; Gyoten, K.; Fujii, T.; Iizawa, Y.; Tanemura, A.; et al. Role of Serum Carcinoma Embryonic Antigen (CEA) Level in Localized Pancreatic Adenocarcinoma: CEA Level Before Operation is a Significant Prognostic Indicator in Patients With Locally Advanced Pancreatic Cancer Treated With Neoadjuvant Therapy Followed by Surgical Resection: A Retrospective Analysis. Ann. Surg. 2022, 275, e698–e707. [Google Scholar] [CrossRef]
  60. Watanabe, K.; Luo, Y.; Da, T.; Guedan, S.; Ruella, M.; Scholler, J.; Keith, B.; Young, R.M.; Engels, B.; Sorsa, S.; et al. Pancreatic cancer therapy with combined mesothelin-redirected chimeric antigen receptor T cells and cytokine-armed oncolytic adenoviruses. JCI Insight 2018, 3, e99573. [Google Scholar] [CrossRef]
  61. Hassan, R.; Thomas, A.; Alewine, C.; Le, D.T.; Jaffee, E.M.; Pastan, I. Mesothelin Immunotherapy for Cancer: Ready for Prime Time? J. Clin. Oncol. 2016, 34, 4171–4179. [Google Scholar] [CrossRef] [PubMed]
  62. Klampatsa, A.; Dimou, V.; Albelda, S.M. Mesothelin-targeted CAR-T cell therapy for solid tumors. Expert Opin. Biol. Ther. 2021, 21, 473–486. [Google Scholar] [CrossRef]
  63. Johnston, F.M.; Tan, M.C.B.; Tan, B.R., Jr.; Porembka, M.R.; Brunt, E.M.; Linehan, D.C.; Simon, P.O., Jr.; Plambeck-Suess, S.; Eberlein, T.J.; Hellstrom, K.E.; et al. Circulating Mesothelin Protein and Cellular Antimesothelin Immunity in Patients with Pancreatic Cancer. Clin. Cancer Res. 2009, 15, 6511–6518. [Google Scholar] [CrossRef]
  64. Haas, A.R.; Tanyi, J.L.; O’Hara, M.H.; Gladney, W.L.; Lacey, S.F.; Torigian, D.A.; Soulen, M.C.; Tian, L.; McGarvey, M.; Nelson, A.M.; et al. Phase I Study of Lentiviral-Transduced Chimeric Antigen Receptor-Modified T Cells Recognizing Mesothelin in Advanced Solid Cancers. Mol. Ther. 2019, 27, 1919–1929. [Google Scholar] [CrossRef]
  65. QI, C.; Liu, C.; Gong, J.; Li, J.; Liu, D.; Wang, X.; Zhang, P.; Qin, Y.; Zhang, M.; Peng, Z.; et al. Claudin18.2-targeted chimeric antigen receptor T cell-therapy for patients with gastrointestinal cancers: Final results of CT041-CG4006 phase 1 trial. J. Clin. Oncol. 2024, 42, 2501. [Google Scholar] [CrossRef]
  66. Qin, S.; Tian, W.; Li, M.; Wei, H.; Sun, L.; Xie, Q.; Lin, E.; Xu, D.; Tian, J.; Chen, J.; et al. 1054P A phase Ia study to evaluate the safety, tolerability, pharmacokinetics and preliminary efficacy of a modular CLDN18.2-targeting PG CAR-T therapy (IBI345) in patients with CLDN18.2+ solid tumors. Ann. Oncol. 2023, 34, S638. [Google Scholar] [CrossRef]
  67. Liu, Y.; Guo, Y.; Wu, Z.; Feng, K.; Tong, C.; Wang, Y.; Dai, H.; Shi, F.; Yang, Q.; Han, W. Anti-EGFR chimeric antigen receptor-modified T cells in metastatic pancreatic carcinoma: A phase I clinical trial. Cytotherapy 2020, 22, 573–580. [Google Scholar] [CrossRef]
  68. Fitzgerald, T.L.; Lertpiriyapong, K.; Cocco, L.; Martelli, A.M.; Libra, M.; Candido, S.; Montalto, G.; Cervello, M.; Steelman, L.; Abrams, S.L.; et al. Roles of EGFR and KRAS and their downstream signaling pathways in pancreatic cancer and pancreatic cancer stem cells. Adv. Biol. Regul. 2015, 59, 65–81. [Google Scholar] [CrossRef]
  69. Oliveira-Cunha, M.; Newman, W.G.; Siriwardena, A.K. Epidermal Growth Factor Receptor in Pancreatic Cancer. Cancers 2011, 3, 1513–1526. [Google Scholar] [CrossRef]
  70. Feng, K.; Liu, Y.; Guo, Y.; Qiu, J.; Wu, Z.; Dai, H.; Yang, Q.; Wang, Y.; Han, W. Phase I study of chimeric antigen receptor modified T cells in treating HER2-positive advanced biliary tract cancers and pancreatic cancers. Protein Cell 2018, 9, 838–847. [Google Scholar] [CrossRef]
  71. Kumar, R.; Yarmand-Bagheri, R. The role of HER2 in angiogenesis. Semin. Oncol. 2001, 28, 27–32. [Google Scholar] [CrossRef] [PubMed]
  72. Schmidts, A.; Wehrli, M.; Maus, M.V. Toward Better Understanding and Management of CAR-T Cell–Associated Toxicity. Annu. Rev. Med. 2021, 72, 365–382. [Google Scholar] [CrossRef] [PubMed]
  73. Zhao, Y.; Deng, J.; Rao, S.; Guo, S.; Shen, J.; Du, F.; Wu, X.; Chen, Y.; Li, M.; Chen, M.; et al. Tumor Infiltrating Lymphocyte (TIL) Therapy for Solid Tumor Treatment: Progressions and Challenges. Cancers 2022, 14, 4160. [Google Scholar] [CrossRef] [PubMed]
  74. Betof Warner, A.; Corrie, P.G.; Hamid, O. Tumor-Infiltrating Lymphocyte Therapy in Melanoma: Facts to the Future. Clin. Cancer Res. 2023, 29, 1835–1854. [Google Scholar] [CrossRef]
  75. Kazemi, M.H.; Sadri, M.; Najafi, A.; Rahimi, A.; Baghernejadan, Z.; Khorramdelazad, H.; Falak, R. Tumor-infiltrating lymphocytes for treatment of solid tumors: It takes two to tango? Front. Immunol. 2022, 13, 1018962. [Google Scholar] [CrossRef]
  76. Rosenberg, S.A.; Yannelli, J.R.; Yang, J.C.; Topalian, S.L.; Schwartzentruber, D.J.; Weber, J.S.; Parkinson, D.R.; Seipp, C.A.; Einhorn, J.H.; White, D.E. Treatment of Patients With Metastatic Melanoma With Autologous Tumor-Infiltrating Lymphocytes and Interleukin 2. J. Natl. Cancer Inst. 1994, 86, 1159–1166. [Google Scholar] [CrossRef]
  77. Dafni, U.; Michielin, O.; Lluesma, S.M.; Tsourti, Z.; Polydoropoulou, V.; Karlis, D.; Besser, M.J.; Haanen, J.; Svane, I.M.; Ohashi, P.S.; et al. Efficacy of adoptive therapy with tumor-infiltrating lymphocytes and recombinant interleukin-2 in advanced cutaneous melanoma: A systematic review and meta-analysis. Ann. Oncol. 2019, 30, 1902–1913. [Google Scholar] [CrossRef]
  78. Ellebaek, E.; Iversen, T.Z.; Junker, N.; Donia, M.; Engell-Noerregaard, L.; Met, Ö.; Hölmich, L.R.; Andersen, R.S.; Hadrup, S.R.; Andersen, M.H.; et al. Adoptive cell therapy with autologous tumor infiltrating lymphocytes and low-dose Interleukin-2 in metastatic melanoma patients. J. Transl. Med. 2012, 10, 169. [Google Scholar] [CrossRef]
  79. Ben-Avi, R.; Farhi, R.; Ben-Nun, A.; Gorodner, M.; Greenberg, E.; Markel, G.; Schachter, J.; Itzhaki, O.; Besser, M.J. Establishment of adoptive cell therapy with tumor infiltrating lymphocytes for non-small cell lung cancer patients. Cancer Immunol. Immunother. 2018, 67, 1221–1230. [Google Scholar] [CrossRef]
  80. Kradin, R.L.; Boyle, L.A.; Preffer, F.I.; Callahan, R.J.; Barlai-Kovach, M.; Strauss, H.W.; Dubinett, S.; Kurnick, J.T. Tumor-derived interleukin-2-dependent lymphocytes in adoptive immunotherapy of lung cancer. Cancer Immunol. Immunother. 1987, 24, 76–85. [Google Scholar] [CrossRef]
  81. Freedman, R.S.; Kudelka, A.P.; Kavanagh, J.J.; Verschraegen, C.; Edwards, C.L.; Nash, M.; Levy, L.; Atkinson, E.N.; Zhang, H.Z.; Melichar, B.; et al. Clinical and biological effects of intraperitoneal injections of recombinant interferon-gamma and recombinant interleukin 2 with or without tumor-infiltrating lymphocytes in patients with ovarian or peritoneal carcinoma. Clin. Cancer Res. 2000, 6, 2268–2278. [Google Scholar] [PubMed]
  82. Fujita, K.; Ikarashi, H.; Takakuwa, K.; Kodama, S.; Tokunaga, A.; Takahashi, T.; Tanaka, K. Prolonged disease-free period in patients with advanced epithelial ovarian cancer after adoptive transfer of tumor-infiltrating lymphocytes. Clin. Cancer Res. 1995, 1, 501–507. [Google Scholar] [PubMed]
  83. Pedersen, M.; Westergaard, M.C.W.; Milne, K.; Nielsen, M.; Borch, T.H.; Poulsen, L.G.; Hendel, H.W.; Kennedy, M.; Briggs, G.; Ledoux, S.; et al. Adoptive cell therapy with tumor-infiltrating lymphocytes in patients with metastatic ovarian cancer: A pilot study. Oncoimmunology 2018, 7, e1502905. [Google Scholar] [CrossRef] [PubMed]
  84. Kverneland, A.H.; Pedersen, M.; Westergaard, M.C.W.; Nielsen, M.; Borch, T.H.; Olsen, L.R.; Aasbjerg, G.; Santegoets, S.J.; van der Burg, S.H.; Milne, K.; et al. Adoptive cell therapy in combination with checkpoint inhibitors in ovarian cancer. Oncotarget 2020, 11, 2092–2105. [Google Scholar] [CrossRef]
  85. O’Malley, D.; Lee, S.; Psyrri, A.; Sukari, A.; Thomas, S.; Wenham, R.; Gogas, H.; Jazaeri, A.; Monk, B.; Rose, P.; et al. 492 Phase 2 efficacy and safety of autologous tumor-infiltrating lymphocyte (TIL) cell therapy in combination with pembrolizumab in immune checkpoint inhibitor-naïve patients with advanced cancers. J. ImmunoTherapy Cancer 2021, 9, A523–A524. [Google Scholar] [CrossRef]
  86. Li, J.; Chen, Q.Y.; He, J.; Li, Z.L.; Tang, X.F.; Chen, S.P.; Xie, C.M.; Li, Y.Q.; Huang, L.X.; Ye, S.B.; et al. Phase I trial of adoptively transferred tumor-infiltrating lymphocyte immunotherapy following concurrent chemoradiotherapy in patients with locoregionally advanced nasopharyngeal carcinoma. Oncoimmunology 2015, 4, e976507. [Google Scholar] [CrossRef]
  87. Savas, P.; Virassamy, B.; Ye, C.; Salim, A.; Mintoff, C.P.; Caramia, F.; Salgado, R.; Byrne, D.J.; Teo, Z.L.; Dushyanthen, S.; et al. Single-cell profiling of breast cancer T cells reveals a tissue-resident memory subset associated with improved prognosis. Nat. Med. 2018, 24, 986–993. [Google Scholar] [CrossRef]
  88. Amaria, R.; Knisely, A.; Vining, D.; Kopetz, S.; Overman, M.J.; Javle, M.; Antonoff, M.B.; Tzeng, C.D.; Wolff, R.A.; Pant, S.; et al. Efficacy and safety of autologous tumor-infiltrating lymphocytes in recurrent or refractory ovarian cancer, colorectal cancer, and pancreatic ductal adenocarcinoma. J. Immunother. Cancer 2024, 12, e006822. [Google Scholar] [CrossRef]
  89. Granhøj, J.S.; Witness Præst Jensen, A.; Presti, M.; Met, Ö.; Svane, I.M.; Donia, M. Tumor-infiltrating lymphocytes for adoptive cell therapy: Recent advances, challenges, and future directions. Expert Opin. Biol. Ther. 2022, 22, 627–641. [Google Scholar] [CrossRef]
  90. Betof Warner, A.; Hamid, O.; Komanduri, K.; Amaria, R.; Butler, M.O.; Haanen, J.; Nikiforow, S.; Puzanov, I.; Sarnaik, A.; Bishop, M.R.; et al. Expert consensus guidelines on management and best practices for tumor-infiltrating lymphocyte cell therapy. J. ImmunoTherapy Cancer 2024, 12, e008735. [Google Scholar] [CrossRef]
  91. Froelich, W. CAR NK Cell Therapy Directed Against Pancreatic Cancer. Oncol. Times 2021, 43, 46. [Google Scholar] [CrossRef]
  92. Fang, F.; Xie, S.; Chen, M.; Li, Y.; Yue, J.; Ma, J.; Shu, X.; He, Y.; Xiao, W.; Tian, Z. Advances in NK cell production. Cell. Mol. Immunol. 2022, 19, 460–481. [Google Scholar] [CrossRef] [PubMed]
  93. Xie, G.; Dong, H.; Liang, Y.; Ham, J.D.; Rizwan, R.; Chen, J. CAR-NK cells: A promising cellular immunotherapy for cancer. eBioMedicine 2020, 59, 102975. [Google Scholar] [CrossRef]
  94. Teng, K.Y.; Mansour, A.G.; Zhu, Z.; Li, Z.; Tian, L.; Ma, S.; Xu, B.; Lu, T.; Chen, H.; Hou, D.; et al. Off-the-Shelf Prostate Stem Cell Antigen-Directed Chimeric Antigen Receptor Natural Killer Cell Therapy to Treat Pancreatic Cancer. Gastroenterology 2022, 162, 1319–1333. [Google Scholar] [CrossRef] [PubMed]
  95. Da, Y.; Liu, Y.; Hu, Y.; Liu, W.; Ma, J.; Lu, N.; Zhang, C.; Zhang, C. STING agonist cGAMP enhances anti-tumor activity of CAR-NK cells against pancreatic cancer. Oncoimmunology 2022, 11, 2054105. [Google Scholar] [CrossRef]
  96. Pan, K.; Farrukh, H.; Chittepu, V.; Xu, H.; Pan, C.X.; Zhu, Z. CAR race to cancer immunotherapy: From CAR T, CAR NK to CAR macrophage therapy. J. Exp. Clin. Cancer Res. 2022, 41, 119. [Google Scholar] [CrossRef]
  97. Wang, K.; Wang, L.; Wang, Y.; Xiao, L.; Wei, J.; Hu, Y.; Wang, D.; Huang, H. Reprogramming natural killer cells for cancer therapy. Mol. Ther. 2024, 32, 2835–2855. [Google Scholar] [CrossRef]
  98. Liu, E.; Tong, Y.; Dotti, G.; Shaim, H.; Savoldo, B.; Mukherjee, M.; Orange, J.; Wan, X.; Lu, X.; Reynolds, A.; et al. Cord blood NK cells engineered to express IL-15 and a CD19-targeted CAR show long-term persistence and potent antitumor activity. Leukemia 2018, 32, 520–531. [Google Scholar] [CrossRef]
  99. Harrison, C. TCR cell therapies vanquish solid tumors—Finally. Nat. Biotechnol. 2024, 42, 1477–1479. [Google Scholar] [CrossRef]
  100. Wang, J.; Zhang, T.; Li, P.; Gai, J.; Chen, S.; Espinoza, G.; Kung, H.-C.; Zhang, R.; Fujiwara, K.; Fu, J.; et al. Engineered TCR T-cell therapy targeting mass spectrometry-identified natural epitope in PDAC. Cancer Lett. 2023, 573, 216366. [Google Scholar] [CrossRef]
  101. Shafer, P.; Kelly, L.M.; Hoyos, V. Cancer Therapy With TCR-Engineered T Cells: Current Strategies, Challenges, and Prospects. Front. Immunol. 2022, 13, 835762. [Google Scholar] [CrossRef] [PubMed]
  102. Hiltensperger, M.; Krackhardt, A.M. Current and future concepts for the generation and application of genetically engineered CAR-T and TCR-T cells. Front. Immunol. 2023, 14, 1121030. [Google Scholar] [CrossRef] [PubMed]
  103. Gerdemann, U.; Katari, U.; Christin, A.S.; Cruz, C.R.; Tripic, T.; Rousseau, A.; Gottschalk, S.M.; Savoldo, B.; Vera, J.F.; Heslop, H.E.; et al. Cytotoxic T Lymphocytes Simultaneously Targeting Multiple Tumor-associated Antigens to Treat EBV Negative Lymphoma. Mol. Ther. 2011, 19, 2258–2268. [Google Scholar] [CrossRef]
  104. Malekzadeh, P.; Yossef, R.; Cafri, G.; Paria, B.C.; Lowery, F.J.; Jafferji, M.; Good, M.L.; Sachs, A.; Copeland, A.R.; Kim, S.P.; et al. Antigen Experienced T Cells from Peripheral Blood Recognize p53 Neoantigens. Clin. Cancer Res. 2020, 26, 1267–1276. [Google Scholar] [CrossRef]
  105. Cai, Y.; Prochazkova, M.; Jiang, C.; Song, H.W.; Jin, J.; Moses, L.; Gkitsas, N.; Somerville, R.P.; Highfill, S.L.; Panch, S.; et al. Establishment and validation of in-house cryopreserved CAR/TCR-T cell flow cytometry quality control. J. Transl. Med. 2021, 19, 523. [Google Scholar] [CrossRef]
  106. Leidner, R.; Sanjuan Silva, N.; Huang, H.; Sprott, D.; Zheng, C.; Shih, Y.P.; Leung, A.; Payne, R.; Sutcliffe, K.; Cramer, J.; et al. Neoantigen T-Cell Receptor Gene Therapy in Pancreatic Cancer. N. Engl. J. Med. 2022, 386, 2112–2119. [Google Scholar] [CrossRef]
  107. Zhang, Y.; Schmidt-Wolf, I.G.H. Ten-year update of the international registry on cytokine-induced killer cells in cancer immunotherapy. J. Cell. Physiol. 2020, 235, 9291–9303. [Google Scholar] [CrossRef]
  108. Choi, J.H.; Nam, G.H.; Hong, J.-m.; Cho, I.R.; Paik, W.H.; Ryu, J.K.; Kim, Y.-T.; Lee, S.H. Cytokine-Induced Killer Cell Immunotherapy Combined With Gemcitabine Reduces Systemic Metastasis in Pancreatic Cancer: An Analysis Using Preclinical Adjuvant Therapy-Mimicking Pancreatic Cancer Xenograft Model. Pancreas 2022, 51, 1251–1257. [Google Scholar] [CrossRef]
  109. Wang, M.; Shi, S.B.; Qi, J.L.; Tang, X.Y.; Tian, J. S-1 plus CIK as second-line treatment for advanced pancreatic cancer. Med. Oncol. 2013, 30, 747. [Google Scholar] [CrossRef]
  110. Gao, X.; Mi, Y.; Guo, N.; Xu, H.; Xu, L.; Gou, X.; Jin, W. Cytokine-Induced Killer Cells As Pharmacological Tools for Cancer Immunotherapy. Front. Immunol. 2017, 8, 774. [Google Scholar] [CrossRef]
  111. Cappuzzello, E.; Vigolo, E.; D’Accardio, G.; Astori, G.; Rosato, A.; Sommaggio, R. How can Cytokine-induced killer cells overcome CAR-T cell limits. Front. Immunol. 2023, 14, 1229540. [Google Scholar] [CrossRef] [PubMed]
  112. Jiang, N.; Qiao, G.; Wang, X.; Morse, M.A.; Gwin, W.R.; Zhou, L.; Song, Y.; Zhao, Y.; Chen, F.; Zhou, X.; et al. Dendritic Cell/Cytokine-Induced Killer Cell Immunotherapy Combined with S-1 in Patients with Advanced Pancreatic Cancer: A Prospective Study. Clin. Cancer Res. 2017, 23, 5066–5073. [Google Scholar] [CrossRef] [PubMed]
  113. Ghilardi, G.; Fraietta, J.A.; Gerson, J.N.; Van Deerlin, V.M.; Morrissette, J.J.D.; Caponetti, G.C.; Paruzzo, L.; Harris, J.C.; Chong, E.A.; Susanibar Adaniya, S.P.; et al. T cell lymphoma and secondary primary malignancy risk after commercial CAR T cell therapy. Nat. Med. 2024, 30, 984–989. [Google Scholar] [CrossRef] [PubMed]
  114. Majzner, R.G.; Mackall, C.L. Clinical lessons learned from the first leg of the CAR T cell journey. Nat. Med. 2019, 25, 1341–1355. [Google Scholar] [CrossRef]
  115. Malviya, M.; Aretz, Z.E.H.; Molvi, Z.; Lee, J.; Pierre, S.; Wallisch, P.; Dao, T.; Scheinberg, D.A. Challenges and solutions for therapeutic TCR-based agents. Immunol. Rev. 2023, 320, 58–82. [Google Scholar] [CrossRef]
  116. Ebrahimiyan, H.; Tamimi, A.; Shokoohian, B.; Minaei, N.; Memarnejadian, A.; Hossein-Khannazer, N.; Hassan, M.; Vosough, M. Novel insights in CAR-NK cells beyond CAR-T cell technology; promising advantages. Int. Immunopharmacol. 2022, 106, 108587. [Google Scholar] [CrossRef]
  117. Wang, S.; Sun, J.; Chen, K.; Ma, P.; Lei, Q.; Xing, S.; Cao, Z.; Sun, S.; Yu, Z.; Liu, Y.; et al. Perspectives of tumor-infiltrating lymphocyte treatment in solid tumors. BMC Med. 2021, 19, 140. [Google Scholar] [CrossRef]
  118. Monberg, T.J.; Borch, T.H.; Svane, I.M.; Donia, M. TIL Therapy: Facts and Hopes. Clin. Cancer Res. 2023, 29, 3275–3283. [Google Scholar] [CrossRef]
  119. Liu, S.; Meng, Y.; Liu, L.; Lv, Y.; Yu, W.; Liu, T.; Wang, L.; Mu, D.; Zhou, Q.; Liu, M.; et al. CD4+ T cells are required to improve the efficacy of CIK therapy in non-small cell lung cancer. Cell Death Dis. 2022, 13, 441. [Google Scholar] [CrossRef]
  120. Ghanbari Sevari, F.; Mehdizadeh, A.; Abbasi, K.; Hejazian, S.S.; Raeisi, M. Cytokine-induced killer cells: New insights for therapy of hematologic malignancies. Stem Cell Res. Ther. 2024, 15, 254. [Google Scholar] [CrossRef]
  121. Hamzah, J.; Jugold, M.; Kiessling, F.; Rigby, P.; Manzur, M.; Marti, H.H.; Rabie, T.; Kaden, S.; Gröne, H.J.; Hämmerling, G.J.; et al. Vascular normalization in Rgs5-deficient tumours promotes immune destruction. Nature 2008, 453, 410–414. [Google Scholar] [CrossRef] [PubMed]
  122. de Aguiar, R.B.; de Moraes, J.Z. Exploring the Immunological Mechanisms Underlying the Anti-vascular Endothelial Growth Factor Activity in Tumors. Front. Immunol. 2019, 10, 1023. [Google Scholar] [CrossRef] [PubMed]
  123. Shrimali, R.K.; Yu, Z.; Theoret, M.R.; Chinnasamy, D.; Restifo, N.P.; Rosenberg, S.A. Antiangiogenic agents can increase lymphocyte infiltration into tumor and enhance the effectiveness of adoptive immunotherapy of cancer. Cancer Res. 2010, 70, 6171–6180. [Google Scholar] [CrossRef]
  124. Peranzoni, E.; Lemoine, J.; Vimeux, L.; Feuillet, V.; Barrin, S.; Kantari-Mimoun, C.; Bercovici, N.; Guérin, M.; Biton, J.; Ouakrim, H.; et al. Macrophages impede CD8 T cells from reaching tumor cells and limit the efficacy of anti-PD-1 treatment. Proc. Natl. Acad. Sci. USA 2018, 115, E4041–E4050. [Google Scholar] [CrossRef]
  125. Kakarla, S.; Chow, K.K.; Mata, M.; Shaffer, D.R.; Song, X.T.; Wu, M.F.; Liu, H.; Wang, L.L.; Rowley, D.R.; Pfizenmaier, K.; et al. Antitumor effects of chimeric receptor engineered human T cells directed to tumor stroma. Mol. Ther. 2013, 21, 1611–1620. [Google Scholar] [CrossRef]
  126. Caruana, I.; Savoldo, B.; Hoyos, V.; Weber, G.; Liu, H.; Kim, E.S.; Ittmann, M.M.; Marchetti, D.; Dotti, G. Heparanase promotes tumor infiltration and antitumor activity of CAR-redirected T lymphocytes. Nat. Med. 2015, 21, 524–529. [Google Scholar] [CrossRef]
  127. Schmittnaegel, M.; Rigamonti, N.; Kadioglu, E.; Cassará, A.; Wyser Rmili, C.; Kiialainen, A.; Kienast, Y.; Mueller, H.J.; Ooi, C.H.; Laoui, D.; et al. Dual angiopoietin-2 and VEGFA inhibition elicits antitumor immunity that is enhanced by PD-1 checkpoint blockade. Sci. Transl. Med. 2017, 9, eaak9670. [Google Scholar] [CrossRef]
  128. Ferreira, C.S.; Babitzki, G.; Klaman, I.; Krieter, O.; Lechner, K.; Bendell, J.; Vega Harring, S.; Heil, F. Predictive potential of angiopoietin-2 in a mCRC subpopulation treated with vanucizumab in the McCAVE trial. Front. Oncol. 2023, 13, 1157596. [Google Scholar] [CrossRef]
  129. Pyonteck, S.M.; Akkari, L.; Schuhmacher, A.J.; Bowman, R.L.; Sevenich, L.; Quail, D.F.; Olson, O.C.; Quick, M.L.; Huse, J.T.; Teijeiro, V.; et al. CSF-1R inhibition alters macrophage polarization and blocks glioma progression. Nat. Med. 2013, 19, 1264–1272. [Google Scholar] [CrossRef]
  130. Binnewies, M.; Pollack, J.L.; Rudolph, J.; Dash, S.; Abushawish, M.; Lee, T.; Jahchan, N.S.; Canaday, P.; Lu, E.; Norng, M.; et al. Targeting TREM2 on tumor-associated macrophages enhances immunotherapy. Cell Rep. 2021, 37, 109844. [Google Scholar] [CrossRef]
  131. Gao, Y.; Lin, H.; Guo, D.; Cheng, S.; Zhou, Y.; Zhang, L.; Yao, J.; Farooq, M.A.; Ajmal, I.; Duan, Y.; et al. Suppression of 4.1R enhances the potency of NKG2D-CAR T cells against pancreatic carcinoma via activating ERK signaling pathway. Oncogenesis 2021, 10, 62. [Google Scholar] [CrossRef] [PubMed]
  132. Schäfer, D.; Tomiuk, S.; Küster, L.N.; Rawashdeh, W.A.; Henze, J.; Tischler-Höhle, G.; Agorku, D.J.; Brauner, J.; Linnartz, C.; Lock, D.; et al. Identification of CD318, TSPAN8 and CD66c as target candidates for CAR T cell based immunotherapy of pancreatic adenocarcinoma. Nat. Commun. 2021, 12, 1453. [Google Scholar] [CrossRef] [PubMed]
  133. Lo, A.; Wang, L.S.; Scholler, J.; Monslow, J.; Avery, D.; Newick, K.; O’Brien, S.; Evans, R.A.; Bajor, D.J.; Clendenin, C.; et al. Tumor-Promoting Desmoplasia Is Disrupted by Depleting FAP-Expressing Stromal Cells. Cancer Res. 2015, 75, 2800–2810. [Google Scholar] [CrossRef] [PubMed]
  134. Waaga-Gasser, A.M.; Böldicke, T. Genetically Engineered T Cells and Recombinant Antibodies to Target Intracellular Neoantigens: Current Status and Future Directions. Int. J. Mol. Sci. 2024, 25, 13504. [Google Scholar] [CrossRef]
  135. He, Q.; Liu, Z.; Liu, Z.; Lai, Y.; Zhou, X.; Weng, J. TCR-like antibodies in cancer immunotherapy. J. Hematol. Oncol. 2019, 12, 99. [Google Scholar] [CrossRef]
  136. Walseng, E.; Köksal, H.; Sektioglu, I.M.; Fåne, A.; Skorstad, G.; Kvalheim, G.; Gaudernack, G.; Inderberg, E.M.; Wälchli, S. A TCR-based Chimeric Antigen Receptor. Sci. Rep. 2017, 7, 10713. [Google Scholar] [CrossRef]
  137. Liu, X.; Zhang, Y.; Li, K.; Liu, Y.; Xu, J.; Ma, J.; An, L.; Wang, H.; Chu, X. A novel dominant-negative PD-1 armored anti-CD19 CAR T cell is safe and effective against refractory/relapsed B cell lymphoma. Transl. Oncol. 2021, 14, 101085. [Google Scholar] [CrossRef]
  138. Lin, G.; Zhang, Y.; Yu, L.; Wu, D. Cytotoxic effect of CLL-1 CAR-T cell immunotherapy with PD-1 silencing on relapsed/refractory acute myeloid leukemia. Mol. Med. Rep. 2021, 23, 208. [Google Scholar] [CrossRef]
  139. Serganova, I.; Moroz, E.; Cohen, I.; Moroz, M.; Mane, M.; Zurita, J.; Shenker, L.; Ponomarev, V.; Blasberg, R. Enhancement of PSMA-Directed CAR Adoptive Immunotherapy by PD-1/PD-L1 Blockade. Mol. Ther. Oncolytics 2017, 4, 41–54. [Google Scholar] [CrossRef]
  140. John, L.B.; Devaud, C.; Duong, C.P.; Yong, C.S.; Beavis, P.A.; Haynes, N.M.; Chow, M.T.; Smyth, M.J.; Kershaw, M.H.; Darcy, P.K. Anti-PD-1 antibody therapy potently enhances the eradication of established tumors by gene-modified T cells. Clin. Cancer Res. 2013, 19, 5636–5646. [Google Scholar] [CrossRef]
  141. Adusumilli, P.S.; Zauderer, M.G.; Rivière, I.; Solomon, S.B.; Rusch, V.W.; O’Cearbhaill, R.E.; Zhu, A.; Cheema, W.; Chintala, N.K.; Halton, E.; 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, 2748–2763. [Google Scholar] [CrossRef]
  142. Rafiq, S.; Yeku, O.O.; Jackson, H.J.; Purdon, T.J.; van Leeuwen, D.G.; Drakes, D.J.; Song, M.; Miele, M.M.; Li, Z.; Wang, P.; et al. Targeted delivery of a PD-1-blocking scFv by CAR-T cells enhances anti-tumor efficacy in vivo. Nat. Biotechnol. 2018, 36, 847–856. [Google Scholar] [CrossRef] [PubMed]
  143. Li, S.; Siriwon, N.; Zhang, X.; Yang, S.; Jin, T.; He, F.; Kim, Y.J.; Mac, J.; Lu, Z.; Wang, S.; et al. Enhanced Cancer Immunotherapy by Chimeric Antigen Receptor-Modified T Cells Engineered to Secrete Checkpoint Inhibitors. Clin. Cancer Res. 2017, 23, 6982–6992. [Google Scholar] [CrossRef] [PubMed]
  144. Pang, N.; Shi, J.; Qin, L.; Chen, A.; Tang, Y.; Yang, H.; Huang, Y.; Wu, Q.; Li, X.; He, B.; et al. IL-7 and CCL19-secreting CAR-T cell therapy for tumors with positive glypican-3 or mesothelin. J. Hematol. Oncol. 2021, 14, 118. [Google Scholar] [CrossRef] [PubMed]
  145. Hou, A.J.; Chang, Z.L.; Lorenzini, M.H.; Zah, E.; Chen, Y.Y. TGF-β-responsive CAR-T cells promote anti-tumor immune function. Bioeng. Transl. Med. 2018, 3, 75–86. [Google Scholar] [CrossRef] [PubMed]
  146. Chen, X.; Yang, S.; Li, S.; Qu, Y.; Wang, H.Y.; Liu, J.; Dunn, Z.S.; Cinay, G.E.; MacMullan, M.A.; Hu, F.; et al. Secretion of bispecific protein of anti-PD-1 fused with TGF-β trap enhances antitumor efficacy of CAR-T cell therapy. Mol. Ther. Oncolytics 2021, 21, 144–157. [Google Scholar] [CrossRef] [PubMed]
  147. Hartley, J.; Abken, H. Chimeric antigen receptors designed to overcome transforming growth factor-β-mediated repression in the adoptive T-cell therapy of solid tumors. Clin. Transl. Immunol. 2019, 8, e1064. [Google Scholar] [CrossRef]
  148. Al-Haideri, M.; Tondok, S.B.; Safa, S.H.; Maleki, A.H.; Rostami, S.; Jalil, A.T.; Al-Gazally, M.E.; Alsaikhan, F.; Rizaev, J.A.; Mohammad, T.A.M.; et al. CAR-T cell combination therapy: The next revolution in cancer treatment. Cancer Cell Int. 2022, 22, 365. [Google Scholar] [CrossRef]
  149. Gumber, D.; Wang, L.D. Improving CAR-T immunotherapy: Overcoming the challenges of T cell exhaustion. EBioMedicine 2022, 77, 103941. [Google Scholar] [CrossRef]
  150. Zhang, R.Y.; Wei, D.; Liu, Z.K.; Yong, Y.L.; Wei, W.; Zhang, Z.Y.; Lv, J.J.; Zhang, Z.; Chen, Z.N.; Bian, H. Doxycycline Inducible Chimeric Antigen Receptor T Cells Targeting CD147 for Hepatocellular Carcinoma Therapy. Front. Cell Dev. Biol. 2019, 7, 233. [Google Scholar] [CrossRef]
  151. Webster, B.; Xiong, Y.; Hu, P.; Wu, D.; Alabanza, L.; Orentas, R.J.; Dropulic, B.; Schneider, D. Self-driving armored CAR-T cells overcome a suppressive milieu and eradicate CD19+ Raji lymphoma in preclinical models. Mol. Ther. 2021, 29, 2691–2706. [Google Scholar] [CrossRef] [PubMed]
  152. Liu, X.; Wen, J.; Yi, H.; Hou, X.; Yin, Y.; Ye, G.; Wu, X.; Jiang, X. Split chimeric antigen receptor-modified T cells targeting glypican-3 suppress hepatocellular carcinoma growth with reduced cytokine release. Ther. Adv. Med. Oncol. 2020, 12, 1758835920910347. [Google Scholar] [CrossRef]
  153. Zajc, C.U.; Dobersberger, M.; Schaffner, I.; Mlynek, G.; Pühringer, D.; Salzer, B.; Djinović-Carugo, K.; Steinberger, P.; De Sousa Linhares, A.; Yang, N.J.; et al. A conformation-specific ON-switch for controlling CAR T cells with an orally available drug. Proc. Natl. Acad. Sci. USA 2020, 117, 14926–14935. [Google Scholar] [CrossRef]
  154. Yu, S.; Yi, M.; Qin, S.; Wu, K. Next generation chimeric antigen receptor T cells: Safety strategies to overcome toxicity. Mol. Cancer 2019, 18, 125. [Google Scholar] [CrossRef]
  155. Lee, Y.G.; Marks, I.; Srinivasarao, M.; Kanduluru, A.K.; Mahalingam, S.M.; Liu, X.; Chu, H.; Low, P.S. Use of a Single CAR T Cell and Several Bispecific Adapters Facilitates Eradication of Multiple Antigenically Different Solid Tumors. Cancer Res. 2019, 79, 387–396. [Google Scholar] [CrossRef]
  156. Baeuerle, P.A.; Ding, J.; Patel, E.; Thorausch, N.; Horton, H.; Gierut, J.; Scarfo, I.; Choudhary, R.; Kiner, O.; Krishnamurthy, J.; et al. Synthetic TRuC receptors engaging the complete T cell receptor for potent anti-tumor response. Nat. Commun. 2019, 10, 2087. [Google Scholar] [CrossRef]
  157. Liu, Y.; Liu, G.; Wang, J.; Zheng, Z.Y.; Jia, L.; Rui, W.; Huang, D.; Zhou, Z.X.; Zhou, L.; Wu, X.; et al. Chimeric STAR receptors using TCR machinery mediate robust responses against solid tumors. Sci. Transl. Med. 2021, 13, eabb5191. [Google Scholar] [CrossRef]
  158. Wang, C.; Li, M.; Wei, R.; Wu, J. Adoptive transfer of TILs plus anti-PD1 therapy: An alternative combination therapy for treating metastatic osteosarcoma. J. Bone Oncol. 2020, 25, 100332. [Google Scholar] [CrossRef]
  159. Jimeno, A.; Papa, S.; Haigentz, M.; Rodríguez-Moreno, J.; Schardt, J.; Fardis, M.; Finckenstein, F.G.; Fiaz, R.; Chen, G.; Cacovean, A.; et al. 353 Safety and efficacy of tumor infiltrating lymphocytes (TIL, LN-145) in combination with pembrolizumab for advanced, recurrent or metastatic HNSCC. J. ImmunoTherapy Cancer 2020, 8, A215–A216. [Google Scholar] [CrossRef]
  160. Stevanović, S.; Helman, S.R.; Wunderlich, J.R.; Langhan, M.M.; Doran, S.L.; Kwong, M.L.M.; Somerville, R.P.T.; Klebanoff, C.A.; Kammula, U.S.; Sherry, R.M.; et al. A Phase II Study of Tumor-infiltrating Lymphocyte Therapy for Human Papillomavirus-associated Epithelial Cancers. Clin. Cancer Res. 2019, 25, 1486–1493. [Google Scholar] [CrossRef]
  161. Zacharakis, N.; Huq, L.M.; Seitter, S.J.; Kim, S.P.; Gartner, J.J.; Sindiri, S.; Hill, V.K.; Li, Y.F.; Paria, B.C.; Ray, S.; et al. Breast Cancers Are Immunogenic: Immunologic Analyses and a Phase II Pilot Clinical Trial Using Mutation-Reactive Autologous Lymphocytes. J. Clin. Oncol. 2022, 40, 1741–1754. [Google Scholar] [CrossRef] [PubMed]
  162. Kverneland, A.H.; Chamberlain, C.A.; Borch, T.H.; Nielsen, M.; Mørk, S.K.; Kjeldsen, J.W.; Lorentzen, C.L.; Jørgensen, L.P.; Riis, L.B.; Yde, C.W.; et al. Adoptive cell therapy with tumor-infiltrating lymphocytes supported by checkpoint inhibition across multiple solid cancer types. J. Immunother. Cancer 2021, 9, e003499. [Google Scholar] [CrossRef] [PubMed]
  163. Laumont, C.M.; Banville, A.C.; Gilardi, M.; Hollern, D.P.; Nelson, B.H. Tumour-infiltrating B cells: Immunological mechanisms, clinical impact and therapeutic opportunities. Nat. Rev. Cancer 2022, 22, 414–430. [Google Scholar] [CrossRef] [PubMed]
  164. Rokade, S.; Damani, A.M.; Oft, M.; Emmerich, J. IL-2 based cancer immunotherapies: An evolving paradigm. Front. Immunol. 2024, 15, 1433989. [Google Scholar] [CrossRef]
  165. Waldmann, T.A.; Dubois, S.; Miljkovic, M.D.; Conlon, K.C. IL-15 in the Combination Immunotherapy of Cancer. Front. Immunol. 2020, 11, 868. [Google Scholar] [CrossRef]
  166. Nikita, S.; Mishra, S.; Gupta, K.; Runkana, V.; Gomes, J.; Rathore, A.S. Advances in bioreactor control for production of biotherapeutic products. Biotechnol. Bioeng. 2023, 120, 1189–1214. [Google Scholar] [CrossRef]
  167. Wu, Y.Y.; Liu, D.; Naing, M.W. Development of a closed and automated bioreactor technology for cell therapy manufacturing—A sharing of our journey. Regen. Med. 2020, 15, 2335–2340. [Google Scholar] [CrossRef]
  168. Laskowski, T.J.; Biederstädt, A.; Rezvani, K. Natural killer cells in antitumour adoptive cell immunotherapy. Nat. Rev. Cancer 2022, 22, 557–575. [Google Scholar] [CrossRef]
  169. Wang, Z.; Liu, Y.; Li, R.e.; Shang, Y.; Zhang, Y.; Zhao, L.; Li, W.; Yang, Y.; Zhang, X.; Yang, T.; et al. Autologous cytokine-induced killer cell transfusion increases overall survival in advanced pancreatic cancer. J. Hematol. Oncol. 2016, 9, 6. [Google Scholar] [CrossRef]
  170. Zhou, Y.; Chen, C.L.; Jiang, S.W.; Feng, Y.; Yuan, L.; Chen, P.; Zhang, L.; Huang, S.; Li, J.; Xia, J.C.; et al. Retrospective analysis of the efficacy of adjuvant CIK cell therapy in epithelial ovarian cancer patients who received postoperative chemotherapy. Oncoimmunology 2019, 8, e1528411. [Google Scholar] [CrossRef]
  171. Kong, D.S.; Nam, D.H.; Kang, S.H.; Lee, J.W.; Chang, J.H.; Kim, J.H.; Lim, Y.J.; Koh, Y.C.; Chung, Y.G.; Kim, J.M.; et al. Phase III randomized trial of autologous cytokine-induced killer cell immunotherapy for newly diagnosed glioblastoma in Korea. Oncotarget 2017, 8, 7003–7013. [Google Scholar] [CrossRef] [PubMed]
  172. Zhou, L.; Xiong, Y.; Wang, Y.; Meng, Y.; Zhang, W.; Shen, M.; Zhang, X.; Li, S.; Ren, B.; Li, R.; et al. A Phase IB Trial of Autologous Cytokine-Induced Killer Cells in Combination with Sintilimab, Monoclonal Antibody Against Programmed Cell Death-1, plus Chemotherapy in Patients with Advanced Non-Small-Cell Lung Cancer. Clin. Lung Cancer 2022, 23, 709–719. [Google Scholar] [CrossRef] [PubMed]
  173. Zhao, L.; Li, T.; Song, Y.; Yang, Y.; Ma, B.; Zhang, Y.; Shang, Y.; Xu, B.; Guo, J.; Qin, P.; et al. High Complete Response Rate in Patients With Metastatic Renal Cell Carcinoma Receiving Autologous Cytokine-Induced Killer Cell Therapy Plus Anti-Programmed Death-1 Agent: A Single-Center Study. Front. Immunol. 2022, 12, 779248. [Google Scholar] [CrossRef]
  174. Wang, Z.; Li, N.; Feng, K.; Chen, M.; Zhang, Y.; Liu, Y.; Yang, Q.; Nie, J.; Tang, N.; Zhang, X.; 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, 2188–2198. [Google Scholar] [CrossRef]
  175. Chen, X.; Zhong, S.; Zhan, Y.; Zhang, X. CRISPR-Cas9 applications in T cells and adoptive T cell therapies. Cell Mol. Biol. Lett. 2024, 29, 52. [Google Scholar] [CrossRef]
  176. De Castro, V.; Galaine, J.; Loyon, R.; Godet, Y. CRISPR-Cas gene knockouts to optimize engineered T cells for cancer immunotherapy. Cancer Gene Ther. 2024, 31, 1124–1134. [Google Scholar] [CrossRef]
  177. Dimitri, A.; Herbst, F.; Fraietta, J.A. Engineering the next-generation of CAR T-cells with CRISPR-Cas9 gene editing. Mol. Cancer 2022, 21, 78. [Google Scholar] [CrossRef]
Figure 1. Summarizing the tumor microenvironment in pancreatic ductal adenocarcinoma. Tregs—regulatory T cells; NK—natural killer.
Figure 1. Summarizing the tumor microenvironment in pancreatic ductal adenocarcinoma. Tregs—regulatory T cells; NK—natural killer.
Cancers 17 00589 g001
Figure 2. CAR-T cell manufacturing. 1/2—Lymphocyte depletion chemotherapy is given before CAR-T cell infusion.
Figure 2. CAR-T cell manufacturing. 1/2—Lymphocyte depletion chemotherapy is given before CAR-T cell infusion.
Cancers 17 00589 g002
Table 1. Current evidence of CAR-T cell therapies in pancreatic ductal adenocarcinoma.
Table 1. Current evidence of CAR-T cell therapies in pancreatic ductal adenocarcinoma.
TrialTargetOutcomesAdverse EffectsNotes on the Target
NCT02541370 * [52]
(n = 23)
CD-133 (B)
PDAC—7/23
PR—2
SD—3
PD—2
Hyperbilirubinemia, Anemia, Leucopenia, Thrombocytopenia, Anorexia, and Mucosal hyperemiaIt is a transmembrane protein and the most commonly expressed cancer stem cell marker in several cancer types [53]. Correlates with histologic type, lymphatic invasion, and metastasis in pancreatic cancer [54].
NCT02850536 [55]
(n = 5)
CEAOS—23.2 m
DOR—13 m
Fever, Electrolyte abnormalities, HypertensionIt can be elevated in PDAC and a level >7.2 ng/mL in LA-PDAC is often associated with systemic disease [56,57,58,59].
NCT01897415 [60]
(n = 6)
MesothelinSD—2
PD—4
Abdominal pain, Back pain
Dysgeusia, Gastritis
It is an important factor in pancreatic growth by promoting proliferation and inhibiting apoptosis through p53-dependent and p53-independent pathways [61,62]. Mesothelin-specific T cells were generated in 50% of pancreatic cancer patients in a study [63].
NCT02159716 [64]
(n = 15)
Mesothelin (B)
PDAC—5/15
PD—3
SD—2
Anemia, Lymphopenia, Fatigue, Dysgeusia, DIC
NCT03874897 [65]
(n = 37)
Claudin 18.2 (B)
PDAC—5/37
PD—1
SD—3
PR—1
Lymphopenia, Neutropenia, Anemia, Thrombocytopenia, Elevated conjugated bilirubin, Elevated aminotransferase, Hypokalemia, PyrexiaIt is a transmembrane protein that controls the paracellular space through which molecules pass in the epithelial and endothelial tissues and is essential for normal membrane barrier function [46]. It is overexpressed in various cancers and plays an important role in the progression of pancreatic neoplasms. Claudin types could be tumor-specific.
NCT05199519 [66]
(n = 7)
Claudin 18.2 (B)
PDAC—2/5
PR—1
SD—1
Neutropenia, Anorexia
NCT01869166 [67]
(n = 14)
EGFRPR—4
SD—8
PD—2
Lymphocytopenia, Pleural effusion, Pulmonary interstitial exudation, Dermatitis Herpetiformis, Gastrointestinal hemorrhageIt plays a crucial role in normal cellular growth, prevention of apoptosis, and development of metastasis in many types of cancer [68]. There are four receptors in the EGF family: HER1, HER2, HER3, and HER4 [69].
NCT01935843 [70]
(n = 11)
HER2 (B)
PDAC—2/11
SD—2Anemia, Lymphopenia,
Fever, Fatigue,
Transaminase elevation,
Gastrointestinal hemorrhage
It is a cell-membrane protein involved in promoting cell division and differentiation and contributes to tumor progression by triggering angiogenesis [71].
* Phase I/II; B—basket trials; PDAC—pancreatic ductal; adenocarcinoma; PR—partial response; SD—stable disease; PD—progressive disease; OS—overall survival; DOR—duration of response; CEA—carcinoembryonic antigen; EGFR—epidermal growth factor receptor; HER2—human epidermal growth factor receptor 2; DIC—disseminated intravascular coagulation.
Table 2. Ongoing CAR-T trials in pancreatic ductal adenocarcinoma.
Table 2. Ongoing CAR-T trials in pancreatic ductal adenocarcinoma.
TrialPhaseSizeTargetPrimary OutcomeSecondary Outcomes
NCT06464965I30Claudin 18.2MTD, DLTORR, DCR, DOR, PFS, OS
NCT05472857I30MTD, AEORR, DCR, DOR, PFS
NCT04404595Ib110MTD, DLT, AE, ORRORR, DCR, DOR, PFS, OS, HRQoL
NCT04581473I/II192MTD, AE, PFSORR, DCR, DOR, PFS, OS
NCT05393986I63MTD, DLTORR, DCR, DOR, PFS, OS, AE, PK
NCT05275062I6AEORR, DCR, PFS, OS, CAR-T %, Tumor marker, RR, IM92 Ab
NCT06126406I60CEADLT, AEDCR, AUCS, CMAX, TMAX, CEA content
NCT06043466I30MTD, DLT, Dose rangeDCR, AUCS, CMAX, TMAX, CEA content
NCT06010862I36MTD, AEORR, DCR, DOR, PFS, OS, AUCS, CMAX, TMAX, CEA content
NCT05736731I/II160DLT, ORR, RP2DA2B530%, Cytokine analysis
NCT04660929I48HER 2AE, Feasibility of manufacturing, CT—0508ORR, PFS
NCT03740256I45DLTORR, DCR, PFS, OS
AEs grade 3
NCT06051695I/II230MesothelinDLT, ORR, RP2DA2B694 persistence, Cytokine analysis
NCT05239143I180MUC1—CMTD, ORR, R2PD-
NCT06158139I27B7-H3AE, CRS, NeurotoxicityORR, DCR, PFS, OS, B7-H3 expression, DLT
NCT02830724I/II124CD 70AE within 2 weeks, RRAE (within 6 weeks)
MTD—maximum tolerated dose; DLT—dose-dependent toxicity; AE—adverse events; CRS—cytokine release syndrome; RX—treatment; R2PD—recommended phase 2 dose; QOL—quality of life; ORR—objective response rate; CR—complete response; PR—partial response; DOR—duration of overall response; DOCR—duration of overall complete response; DCR—disease control rate; RRR—radiographic response rate; OS—overall survival; PFS—progression-free survival; RR—response rate (PR + CR); HRQoL—health-related quality of life; PK—pharmacokinetics; CEA—carcinoembryonic antigen; ACUS—area under the curve; CMAX—highest concentration of CEA CAR-T cells expanded; TMAX—time to reach the highest concentration.
Table 3. Ongoing adoptive cell therapy trials in pancreatic ductal adenocarcinoma.
Table 3. Ongoing adoptive cell therapy trials in pancreatic ductal adenocarcinoma.
TrialPhaseSizeTargetOutcomes
TIL therapyNCT05098197I50-ORR, DCR, DOR, PFS, OS, TRAE
NCT03935893II240-ORR, DCR, DOR, PFS, OS
NCT04426669I/II20-MTD, PE, AE
PFS, OS
NCT01174121II332-ORR, TRAE
Efficacy
NCT05098197I50-ORR, DCR, DOR, PFS, OS, TRAE
CAR-NKNCT03941457I/II9ROBO1TRAE
NCT02839954I/II10MUC1TRAE
ORR
NCT03841110I64NK cell + ICIDLT
ORR, DOR
NCT06464965I30Claudin18.2MTD, DLT
ORR, DCR, DOR, PFS, OS
NCT05922930I/II TROP2ORR, PFS, DLT
Cytokine-induced killer (CIK) cellsNCT03509298II90CIK with anti-CD3-MUC1 bispecific antibodyORR, DCR, PFS, OS, SSR, TTP
NCT05955157II/III
randomized
52DC-CIK_S-1 vs. S-1TRAE, Hematological CBR
Efficacy
T-cell receptor-engineered T-cellsNCT04809766I15MesothelinTRAE
ORR, PFS, OS
NCT05438667I18KRAS (G12V or G12D)PFS, OS, AUC, CMAX, TMAX, AE, TTP, EFS, DFS, DoE
TCR-T cell number, peak value of cytokines
NCT06487377I12KRAS (G12V or G12D)DLT, TRAE, SAE
ORR, DCR, DOR, PFS, OS, TTR, TCR-T cell counts, TCR gene copies, anti-drug antibodies, changes in tumor markers
NCT04146298I/II30KRAS (G12V)ORR, TRAE
OS, TCR transduced T cell %
NCT06054984I18RAS/TP 53AUC, CMAX, TMAX, TRAE
ORR, DCR, PFS, OS
Change in tumor size, biomarker
NCT06043713I24KRAS (G12V)MTD, DLT, AE
ORR, PFS, OS, CBR, SD, changes in TME
NCT05877599I162TP53ORR, DOR, PFS, DLT, AE, SAE, TRAE, CBR, TTR, BOR
NCT06218914I24KRAS (G12D)DLT, AE, SAE
ORR, DOR, PFS, OS, CBR, TTR, BOR
NCT06105021I/II100KRAS (G12V)DLT, SAE, TEAE, OBD
ORR, DOR, PFS, OS, CBR, TTR,
NCT04622423Observational475 PFS, OS, tumor mutational burden, gene expression profile, antigenic landscape, T-cell repertoire, change in tumor marker
NCT05964361I/II10WT-1DOR, BOR, leukapheresis %, SAE, ORR, DCR, PFS, OS, QoLA
NCT03190941I/II110KRAS (G12V)TRAE, RR
NCT03745326I/II70KRAS (G12D)TRAE, RR
NCT04810910I20Personalized
Neo-antigen vaccine
OS, TRAE, RFS, CD4/CD8
TIL—tumor-infiltrating lymphocytes; CAR—chimeric antigen receptor; NK—natural killer cells; TRAE—treatment-related adverse events; ORR—objective response rate; CR—complete response; PR—partial response; DOR—duration of response; OS—overall survival; PFS—progression-free survival; MTD—maximum tolerated dose; PE—preliminary efficacy; LA—lab abnormalities; RR—response rate; DCR—disease control rate; QoLA—quality of life assessment; SIR—systemic immune response; DLT—dose-dependent toxicity; TTP—time to progression; SSR—symptom remission rate; CBR—clinical benefit rate; Cmax—peak plasma concentration; Tmax—peak time; AUC—area under concentration; BOR—best overall response.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Sherpally, D.; Manne, A. Advancing Immunotherapy in Pancreatic Cancer: A Brief Review of Emerging Adoptive Cell Therapies. Cancers 2025, 17, 589. https://doi.org/10.3390/cancers17040589

AMA Style

Sherpally D, Manne A. Advancing Immunotherapy in Pancreatic Cancer: A Brief Review of Emerging Adoptive Cell Therapies. Cancers. 2025; 17(4):589. https://doi.org/10.3390/cancers17040589

Chicago/Turabian Style

Sherpally, Deepak, and Ashish Manne. 2025. "Advancing Immunotherapy in Pancreatic Cancer: A Brief Review of Emerging Adoptive Cell Therapies" Cancers 17, no. 4: 589. https://doi.org/10.3390/cancers17040589

APA Style

Sherpally, D., & Manne, A. (2025). Advancing Immunotherapy in Pancreatic Cancer: A Brief Review of Emerging Adoptive Cell Therapies. Cancers, 17(4), 589. https://doi.org/10.3390/cancers17040589

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop