Abstract
Chimeric antigen receptor T (CAR-T) cells represent a recent clinically validated modality in cancer therapy. An emerging frontier of this technology is the expansion of these curative treatments from hematological malignancies to solid cancers and autoimmune diseases. To date 1627 CAR-T clinical trials are registered in clinicaltrials.gov. Rapid and broad scale industrial implementation requires adequate safety considerations, logistics, regulatory implementation and financial viability. A major bottleneck of CAR-T therapy is the ex vivo production process, where cytokines are an essential and product determining constituent. Here, we review how the use of cytokines in CAR-T manufacturing has historically evolved, examining their roles in cell expansion, activation and impact on the overall therapeutic efficiency both pre-clinically and clinically. We extracted extended metadata from 296 available clinical reports at data cut off, to elucidate the global role of cytokine utilization throughout the production process. Our analysis focuses on surfacing relationships that could inform on the effectiveness of different cytokine compositions and prevent redundant clinical trials offering limited advancements. The findings from this review and meta-data analysis are intended to provide insights that could lead to the standardization of cytokine-use in CAR-T cell manufacturing, ultimately improving process efficiency and reducing associated costs.
Introduction
Immunotherapies have revolutionized cancer treatment by harnessing the power of the patient’s immune system to target and eliminate tumor cells. T cell engaging bispecific antibodies (TCB) and chimeric antigen receptor modified T (CAR-T) cells have emerged as two clinically efficacious modalities based on unparalleled clinical response rates and long term outcomes1,2. TCBs such as blinatumomab targeting the B cell-associated surface antigen CD19 were the first to clinically demonstrate the potential of T cell redirection. Later, CD19-directed second-generation CAR-T cell products (CD19-CAR T cells) showed similar efficacy and long-term curative effects in patients suffering from hematological malignancies3. Awakened by these encouraging outcomes, >200 cell therapy trials are starting each year to tackle hematological malignancies and solid tumors4, illustrating the extreme dynamics of this vibrant field.
A major goal remains to bring the full potential of cellular therapies to patients affected by solid tumors and beyond. Along these lines, researchers strive to improve their cell products by optimizing manufacturing and cell engineering processes. A key determinant for the success of CAR-T manufacturing and therapeutic efficacy is the use of specific cytokines during CAR-T cell generation. Cytokines are proteins with crucial functions related to T cell proliferation, differentiation, survival and homeostasis. Cytokines present an essential component of CAR-T cell manufacturing process and allow multifold expansion of T cells necessary to achieve a meaningful clinical dose and response after adoptive transfer. However, cytokine usage is not standardized and there is limited knowledge about their use at the global scale, including the potential influence of differences and disparities on clinical outcome.
In this review, we aim to provide an overview of historical and current clinical developments concerning the use of cytokines during CAR-T cell therapy. We further performed a data-driven analysis and interpretation of the publicly available subset of clinical-stage CAR-T cell trials with a focus on their detailed manufacturing parameters. Therefore, we conducted an extensive PubMed search, to collect 296 trial reports, which span 18 % of the global 1627 CAR-T cell trials. Manufacturing details including starting material, gene engineering vehicle and cytokine use, but also response rates and toxicity scores were extracted from primary- and secondary sources. Next, the data was supplemented with trial details from clinicaltrials.gov and unbiased meta-analysis was conducted. We display historic and global trends as well as correlations of recorded parameters. This dataset uncovers shared patterns within an increasingly diverse manufacturing landscape, which is often shrouded in trade secrecy.
To our knowledge, this is the largest collection of CAR-T cell manufacturing parameters. This work is intended to inform researchers of all stages and serve as an extendable atlas that will provide a common ground to reduce complexity and costs of CAR-T manufacturing processes to accelerate patient access.
History of CAR-T cells
Tumor infiltrating lymphocytes (TIL) were the first therapeutic lymphocytes to be deployed clinically as naturally occurring anti-cancer effector cells5. A few years later, first-generation CAR constructs were proposed, fusing a scFv fragment to the CD3ε domain to redirect T cells to recognize antigens independently of the major histocompatibility complex (MHC)6. Despite promising data generated in mouse models, these cells failed to persist and to control tumors in patients as reported in first clinical studies on ovarian cancer and metastatic renal carcinoma in the early 2000s7–9.
Physiologically, T cells require two signals for activation: the first one resulting from engagement of the T cell receptor (TCR) with its peptide-loaded major histocompatibility complex and the second one induced by costimulatory receptors, such as CD2810,11. In 1998, CD28 was first introduced as a costimulatory domain into CAR-design, resulting in increased persistence in contrast to first generation constructs12,13. With a similar rationale, 4-1BB was incorporated as an alternative costimulatory signal into second-generation CAR-T cell constructs, showing improved persistence and anti-tumor efficacy in mice as compared to constructs bearing CD2814.
The first clinical trial using CAR-T cells was published in 2011, showcasing potent anti-tumor effects of CD19 CAR-T cells on adult patients with chronic lymphocytic leukemia (CLL)15,16. In 2012, the first ever pediatric ALL-patient was treated with CD19 CAR-T cells and achieved complete remission with no signs of disease to this day17. This patient became the face of CAR-T cell promise and is widely known even by the general public. This success was reinforced shortly afterwards by others18 and led to the development and approval of Kymriah, the first approved CD19-targeted CAR-T product for the treatment of pediatric and young adult ALL. There are currently seven approved CAR-T cell products targeting either CD19 or B cell maturation antigen (BCMA) to treat multiple patient indications, including B cell acute lymphoblastic leukemia (ALL), B cell non-Hodgkin lymphoma (NHL), follicular lymphoma, mantle cell lymphoma (MCL) and multiple myeloma19.
In solid tumors progress has been more challenging, but recently successful Phase 1 clinical trials were reported targeting e.g. CLDN18.2, CLDN6, GD2, PSCA or GPC320–25. CLDN18.2-CAR-T cells were tested in a phase 1 trial resulting in 44,8% overall response after 6-months, showing promising efficacy with an acceptable safety profile in patients with heavily pretreated, CLDN18.2-positive digestive system cancers, particularly in those with gastric cancers20.
CAR-T cell manufacturing
The clinical success of CAR-T cells has led to the initiation of clinical trials, with contributions from both pharmaceutical companies and academic centers. All currently commercialized products are produced in centralized manufacturing sites. In contrast, many of the early-stage clinical trial products initiated by academic centers are produced in decentralized manufacturing sites at the point of care (POC)26. While decentralized manufacturing offers potential advantages, such as leveraging hospital infrastructure, obviating cryopreservation, and reducing vein-to-vein time, it also introduces significant challenges. These include limited standardization, variability in operator expertise, and restricted automation, which can result in products of inconsistent quality and potentially impact patient outcomes27,28.
All manufacturing steps need to follow strict good manufacturing practice (GMP) guidelines enforced by the respective local regulation regulatory authorities. These guidelines regulate only over the actual manufacturing processes but also over the quality grade of ancillary components such as cytokines, activating beads/antibodies and culture media29. Compliance with GMP guidelines is critical for ensuring safety and consistency of CAR-T cell products, minimizing the risk of contamination, adverse reactions, or variability in therapeutic outcomes. The regulatory frameworks for manufacturing and market authorization differ depending on the regulatory region. The FDA (Food and Drug Administration) is the regulatory agency in the US, EMA in Europe (European Medicines Agency) and NMPA (National Medical Products Administration) in China. The FDA classifies CAR-T cells under cell therapies and CAR-T cells in Europe are categorized under Advanced Therapy Medicinal Products (AMTP)29. Both EMA and FDA have their specific regulatory recommendations for the development of CAR-T cells, but main regulatory milestones are comparable30.
For manufacturing of CAR-T cells according to GMP standards, a variety of materials are commercially available. Individual components were recently described and will be discussed in greater detail in the data analysis section of this review31,32.
CAR-T cell therapy consist of a multi-step process by which a patient’s T cells are isolated, genetically modified, expanded, and re-infused into the patient, resulting in a highly personalized cancer treatment32 (Figure 1). The individualized steps are detailed bellow.
Figure 1. Schematic of the CAR T manufacturing process.

For CAR-T cell manufacturing, T cells are commonly obtained via leukapheresis. Collected T cells are cultured, activated and transduced with the CAR transgene. CAR-T cells are further expanded in culture, until final formulation and administration into the patient. Conventional CAR-T cell manufacturing involves 1–2 weeks of ex vivo manipulation and expansion, with all steps conducted in cytokine-containing media.
Initially, T cells are collected through a procedure called leukapheresis, either from the patient her- or himself in an autologous setting or from a healthy individual for allogeneic CAR-T manufacturing27. Next, T cells are cultivated and activated to expand them to sufficient numbers. Activation of T cells is required to permit efficient viral gene delivery30. Combination of anti-CD3 and anti-CD28 antibody-based stimulation induces efficient clonal expansion of CD4+ and CD8+ T cells and serves as a core element of CAR-T cell manufacturing33. Other earlier approaches relied on expansion of T cells in a cell-dependent approach with feeder cells34 for T cell stimulation. Antigen-presenting cells (APCs), such as dendritic cells (DC) or irradiated PBMC were used as an endogenous activator of the T cells. However, propagation of some antigen-presenting cells proved to be inconsistent and extremely difficult to generate in adequate numbers across patients32. Second, some cell types can be immunosuppressive in vitro and limit the desired functionality of T lymphocytes. Artificial antigen-presenting cells, such as transduced and irradiated K562 APCs have been employed, but their generation in GMP grade remains complex (NCT02807883)32,35. Along these lines, antibody-based stimulation has largely outpaced feeder cells in CAR-T cell generation.
Stable CAR expression can be achieved via viral and non-viral T cell engineering methods. Viral gene delivery utilizes γ-retroviral or lentiviral vectors, which are produced in cell systems optimized for viral yields. This results in infectious but replication-deficient viruses with varying tropisms. However, viral methods are limited by high costs associated with manufacturing these viruses under GMP conditions, limited cargo capacity and risks of immunogenicity36. Non-viral approaches include chemical or electroporation delivery methods, such as transposon/transposase systems, and CRISPR-Cas9 engineered CAR-T cells, which have been employed in more recent trials. Notably, these systems present lower insertional risks compared to viral vectors (REF). Transposon-based systems such as Sleeping Beauty or Piggy Bac make use of transposons and transposases that can be vectorized as mRNA and DNA. Similarly, endonuclease-based systems, such as CRISPR-Cas9, can also be vectorized. The relatively simpler production process of these reagents in GMP quality may results in overall lower costs and accessibility. In contrast, messenger RNA transfer comes with short-time gene expression, which is generally not beneficial in a cancer context and is therefore less widely used37.
CAR-T cells are further expanded, washed, and ultimately formulated for patient administration. In recent years, closed systems have been developed to decrease production complexity of an otherwise manual process and to mitigate risks of contamination and errors caused by human manipulation38. Development of closed-system manufacturing makes CAR-T cell production more accessible to academic centers, by reducing manual labor and the need for high-level GMP environments. GMP systems are classified based on the grade of cleanliness of the production environment. In most countries, systems can be run in a C or D level environment, while the manual process requires A or B34. These systems typically include automated bioreactors, closed centrifugation devices, and tubing systems designed to maintain a sterile, controlled environment throughout the manufacturing process. By minimizing manual interventions, closed systems enhance process reliability and compliance with GMP standards.
Throughout the entire CAR-T cell production process, T cells are ex vivo cultivated in cytokine-containing media to ensure their expansion, differentiation and survival. Despite variations across the manufacturing protocols evaluated in this review, this practice is a consistent feature across all protocols during each production step until collection of the final product. This underscores the pivotal role of cytokines to ensure both the quality and therapeutic efficacy of the CAR-T cell product.
Developments of cytokine-use during CAR-T cell development
Rapid and efficient expansion are integral determinants of CAR-T manufacturing success. Along with cell purity, transduction efficiency, sterility and therapeutic cell doses, these factors ensure that patients can clinically benefit from CAR-T cell therapy. Several strategies have been deployed in the past for optimization of expansion protocols and we give an overview of key advancements in the following paragraph.
It is hard to believe that just 70 years ago, culturing any non-cancerous cell types was a major challenge, if not impossible (Figure 2). Before the discovery of IL-2, the use of conditioned supernatants or irradiated feeder cells were the main available options to culture lymphocytes. Back then, it was only hypothesized that such cells secrete unknown growth factors that are required for proliferation beyond essential nutrients. In 1955, irradiated feeder cells were discovered to provoke proliferation of other cells39. Later, Phytohemagglutinin (PHA) stimulated human lymphocytes provided a conditioned medium permitting selective growth of T cells. Such media was postulated to contain a T cell growth factor, which was subsequently identified as IL-2, a factor imperative for T cell proliferation40,41. Shortly thereafter, the first cancer patient could be cured with high-dose IL-2 as a form of immunotherapy. Consecutively, IL-2 has been routinely applied in the context of TIL therapy and is also approved for the treatment of metastatic renal cell carcinoma and metastatic melanoma42–44.
Figure 2. Graphical overview of key developments in CAR-T manufacturing and cytokine use over time.

The effect of IL-2 is limited amongst others, by regulatory T cells (Treg). Tregs are a suppressive cell population that expresses high levels of IL-2-receptor alpha (CD25) to bind IL-2 with high affinity45. Preferential IL-2 binding scavenges this key cytokines from inflammatory lymphocytes such as T cells, while expanding Treg, which can exert further inhibitory actions by secreted or membrane bound factors (reviewed in Chinen et al.46)45,47,48. High IL-2 concentrations decrease early memory T cell frequency and Treg formation while boosting effector T cells49. Prolonged IL-2 exposure in culture promotes terminal T cell differentiation and exhaustion, both of which negatively correlate with T cell therapeutic functionalities50. This outlines that there is a strong preclinical rationale to optimize CAR-T cell manufacturing as well as to reduce ex vivo expansion time for selection of more naïve and multifunctional T cells51.
Proliferation is a common downstream effect shared by all common γ-chain family cytokines when applied to ex vivo culture of T cells (Figure 3). Beyond IL-2, cytokines like IL-7, IL-15 and IL-21 may additionally induce alternate differentiation pathways that could potentially yield better CAR-T cells for some applications52. Members of the common γ-chain cytokine family bind to the common γ-receptor through interactions with specific epitopes, which vary in affinity and contribute to the receptor’s functional diversity53. This intriguing finding offers insights into the remarkable overlap and pleiotropism of the common γ-chain cytokines (IL-2, IL-4, IL-7, IL-9, IL-15 and IL-21). Pleiotropism is defined as the ability of a cytokine to exert a wide range of different effects on different cell types and states54. Depending on their differentiation state, T cells can differentially modulate the level of receptor surface expression and thus regulate their receptiveness to a respective cytokine. This functional diversity is only outlining a fraction of the complex network of regulatory mechanisms that may be subject to optimization for CAR-T cell manufacturing workflows.
Figure 3. Common γ-chain cytokines and their use in CAR-T cell manufacturing.

Illustration of the interleukin (IL) receptor signaling pathways relevant to CAR-T cell production, focusing on gamma chain (γc)-dependent cytokines. Each cytokine (IL-2, IL-4, IL-7, IL-9, IL-15, and IL-21) binds its respective receptor, upon binding the receptor dimerizes with the common γ chain (γc, CD132). Ensuing signaling via JAK/STAT pathway involves trans-activation of JAK kinases and tyrosine phosphorylation. IL-2 can bind to the IL-2Rα (CD25) and IL-2Rβ (CD122; IL-4 to the IL-4Rα, IL-7 to the IL-7Rα (CD127); IL-9 to the IL-9R (CD129); IL-15 to the IL-15Rα and IL-2Rβ (CD122, shared with IL-2 receptor); IL-21 to the IL-21R. Downstream signaling leads to distinct T cell phenotypes actionable for CAR-T cell production. While IL-4 and IL-9 are included for context, they are not commonly utilized in CAR-T cell manufacturing.55–57
In detail, IL-7 acts as a thymic survival signal and homeostatic regulator of naive and memory T cells58, IL-4 can induce Th2 or Th9 differentiation of CD4+- T cells, IL-9 confers proliferation to Th17 cells, and IL-2, IL-15 and IL-21 regulate proliferative effects on CD4+- and CD8+- T cells59,60. IL-15 was shown to specifically reverse anergy61 and increase resistance to inhibitory effects of Tregs62 in an antigen independent manner.
Translational studies revealed that patients with B cell malignancies, responding to CAR-T cell therapy were treated with a product of high T-memory stem-cell-like cell percentage (CD8+CD45RA+CCR7+)63. Consequently, to overcome previously mentioned limitations of IL-2 use, IL-7, IL-15 and IL-21 were leveraged in preclinical CAR-T cell cultures to enrich this subset and confer enhanced anti-tumor activity. A limited set of preclinical comparative studies present a nice overview over the complex combinatorial potential of cytokines during manufacturing: IL-2, IL-7 and IL-15 confer the greatest proliferative potential in vitro, compared to IL-21, however, only IL-7, IL-21, but not IL-2 or IL-15 cultured T cells show comparable T cell activity in mice64. IL-21 emerged as an appealing candidate that may also offer opposing differentiation programs to IL-265. IL-21 conditioned T cells experience greater secondary expansion after antigen rechallenge than IL-2 or IL-15 primed cells66. IL-21 may also confer ameliorated CAR-T cell persistence in vivo, a phenomenon shared with IL-7 and correlating with better outcome in murine experiments67. A direct clinical comparison of CD19 CAR-T cells either manufactured with IL-2 versus IL-7/IL-15 has so far only been performed in a handful of trials and results have yet to be reported (NCT00586391 and NCT00709033)63. One very recent study indicates an opposing perspective on the discrimination of IL-2: the investigators switched mid-trial between IL-7/IL-15 and IL-2 conditioned media and observed a relevant increase in CAR-T cell long-term persistence in patients when manufactured with IL-268.
Other, non-common γ-chain family cytokines such as IL-12 and IL-18 have already received significant interest. Both cytokines are not considered to confer antigen-independent proliferation and have distinct signaling pathways. IL-12 does not induce proliferation directly but IL-12 conditioning during ex vivo culture can lead to increased Th1 differentiation and CD28+CD62L+ T cells69. Both T cell phenotypes are associated with enhanced in vivo functionality and outcome70,71. In addition, T cells conditioned with combinations of IL-12 and other cytokines (e.g., IL-12 and IL-7 or IL-12 and IL-21) may show better engraftment when compared to IL-269. In contrast, IL-18 stimulation can have proliferative effects and does so via secondary mechanisms72,73. IL-18 influences production of IFNγ thus conferring preferential differentiation into a Th1 subtype and increased autocrine IL-2 production72. Although it remains speculative whether all these findings will have a similar outcome in combination with CAR and across indications, early studies suggest a similar pattern.
In summary, although the use of cytokines in manufacturing of CAR-T cells has shown considerable promise in preclinical studies, seamless translation of new findings and advances into clinical settings - although compelling - is a subject of active research.
Future avenues of CAR-T manufacturing
Cytokines may also hold great value, when engineered directly into- or specifically for CAR-T cells. In principle, the use of cytokine receptor signaling moieties can be distinguished from induced or constitutive cytokine secretion. Armored CAR-T cells commonly refer to constitutive secretion, whereas TRUCKs (“T cells redirected for universal cytokine-mediated killing”) refer to CAR-T cells secreting immunomodulatory cytokines in a tumor-activated manner.
Several concepts exploiting this basic principle are in an advanced stage of development. For example, CAR-T cells engineered to secrete IL-7 and CCL19 are currently in phase 2 clinical trials in China (#NCT03929107). Preclinically, these CAR-T cells were shown to act as a spark to ignite the fire: By engaging with dendritic cells (DC), deep tumor tissue infiltration of T cells and DCs resulted in rechallenge-resistant complete cures in mouse models72. IL-7 is presumably acting in an autocrine fashion, thus systemic IL-7 concentration and associated leukemic potential is not increased. Additionally, epitope spreading contributed to engage an endogenous TCR-mediated T cell response, allowing rejection of antigen-negative tumor cells. In fact, the transient in vivo depletion of circulating T cells after IL-7 administration has been ascribed to the capacity of IL-7 to upregulate the α4β7 receptor of the mucosal addressin MAdCAM-1 involved in intestinal homing and memory-like conversion of naïve T cells observed in the IL-7–driven immunological reconstitution post-lymphopenia74. Homing of CAR-T to extratumoral compartments may deserve further attention.
Another noteworthy clinical example of cytokine-armoring are GPC3-targeted CAR-T cells that secrete IL-15 (NCT05103631 and NCT04377932)25. The authors suggest that IL15 preferentially improves cell expansion in an autocrine manner, because IL-15 serum concentrations were not higher compared to systemic administration75. Notably, anti-tumor effects were more frequent (disease control rate of 66 %), despite lower cell concentrations compared to earlier GPC3 CAR-T cell trials76. Although CRS-related side effects were more common using this novel product they remained manageable by IL-6/IL-1 blockade77,78 or use of a safety switch79.
Other studies focused on cytokines mostly acting on the TME that can be conditionally expressed upon T cell activation: such as IL-12 and IL-1880–82. IL-12-TRUCKs demonstrated impressive preclinical efficacy and could offer the possibility to skip prior patient conditioning. However, clinical trials using such CAR-T cells were terminated for lack of efficacy and unexpected toxicity in patients (#NCT01236573 and #NCT01457131). Similarly, engineered TILs with an inducible IL-12 also lead to severe toxicity in melanoma patients, despite up to 100-fold lower TIL dose than conventional applications83.
IL-18-armored CAR-T cells have received particular attention in recent years. IL-18 may be a cytokine with compelling characteristics for CAR-T cell therapy: It is a proinflammatory cytokine that synergizes with IL-12 to produce Th1 responses and increase cytotoxicity84. This effect is driven by production of IFNy, an important factor required for the treatment of solid tumors85. Unlike IL-12 however, the combined safety profile of CAR and IL-18 seems to be more acceptable86. This concept is evaluated pre-clinically and clinically, targeting CD19 and GD2, respectively (#NCT06287528 and EU CT 2022-501725-21-00)86,87.
These clinical results indicate the need of controlling these payloads and their release and may open the door to more sophisticated logic-gated designs. A precise response to tumor-intrinsic or synthetic cues may improve spatial precision of CAR-T cell activity and thus enable better safety profiles.
In preclinical development, a human orthogonal IL-2 and IL-2Rb system allows targeting of IL-2 specifically to engineered CAR-T cells while having no effect on other lymphocytes88,89. This technology overcomes the need for lymphodepleting chemotherapy, which is currently a necessity for expansion and engraftment in a recipient organism. Another preclinical orthogonal technology is a synthetic IL-2 exhaustion circuit90. Here, a synthetic Notch receptor induces secretion of IL-2. This technology enables T cells to infiltrate immune excluded tumors and thus achieve strong curative potential and can potentially circumvent tumor immunosuppression in mouse models.
Another potential strategy to maintain CAR-T cell recirculation and functions leverages the gut barrier and microbiome fitness and diversity. Several studies indicated that the microbiota taxonomic composition can influence CAR-T cell persistence and side effects91,92. The mechanisms involved in the cross-talk between the intestinal content and the peripheral systemic tonus include distinct metabolites (short chain fatty acids93, indoles, inosine94) involved in T cell fitness or autophagy and trafficking of CAR-T to specific compartments (such as bone marrow). The role of cytokine signaling in CAR-T cell metabolic rewiring is under study.
The above-mentioned negative aspects of rapid ex vivo CAR-T expansion have provoked research into alternative avenues to improve manufacturing. For instance, multiple studies have already shown that shorter ex vivo expansion may yield a superior cell product95–97. Reduction of the expansion process from 9 to 3 days leads to a product with enhanced proliferative capacity and improved persistence in preclinical models98. Such a rapid manufacturing process may be further reduced to just one day using non-activated T cells and is functional in murine models and patient samples96. This important development has a two-fold rationale: A better cell product may be achieved by transferring T cell expansion phase into patients, rather than in culture, rendering the use of cytokine cocktail optimization less critical. Additionally, the impact of shortening production processes and its financial implications may facilitate widespread clinical application of this technology. Although promising, some risks of cytokine release syndrome (CRS) have been reported after short-term manufactured CAR-T cell administration99. Whether such methodology can replace existing CAR-T manufacturing processes will need to be demonstrated in clinical trials.
Another alternative to shortening ex vivo production times is the generation of CAR-T cells directly in vivo. Firstly, patients do not have to undergo lymphodepletion treatment pre CAR-T treatment, since targeted cells are the patient’s own lymphocytes. Secondly, patient’s T cells do not need to be extracted, handled and expanded ex vivo, which can result in less T cell exhaustion and thus better performance95,100,101. A major obstacle for this avenue is to selectively target only the patient’s T cells and not any malignant cells, as this has already been reported to potentially result in CAR+ therapy resistant second primary malignancies and even patient death102. In order to surpass that hurdle, researchers have turned to cell-targeted viral vectors as vehicles for introducing the CAR cassette specifically, to targeted lentiviral vectors or lipid nanoparticles (LNPs) although adeno-associated-viral vectors (AAVs) are also gaining momentum. Concomitant to our literature search, a single company has managed to get approval for testing in vivo CAR-T cells in a clinical setting. In fall 2024, Interius BioTherapeutics launched and dosed its first patient with CAR T cells targeting CD20 B cell malignancies generated in vivo with CD7-targeted lentiviral vectors (NCT06539338). As with short-term ex vivo generated, in vivo generation of CAR-T cells has also been linked to risk of CRS103.
It is becoming increasingly clear that next-generation CAR-T cell products will need cytokine signals to complete the triad of T cell activation signals and thus confer complete T cell activation. As manufacturing processes become shorter, including the generation of CAR T cells from non-activated T cells, CAR-T expansion process may eventually take place in patients97. This necessitates that CAR-T cells engraft in a host and receive a strong but fully controllable proliferation signal and finally form a memory compartment to prevent relapse.
Methods
We performed an extensive PubMed and ClinicalTrials.gov research to map the landscape of clinical CAR-T cell trials. The data cut-off was set to 15.10.2024.
Raw clinical trial information was collected, such as NCT No., date, status and phase, from CAR-T cell interventional studies from ClinicalTrials.gov using the MESH term: “CAR-T” OR “chimeric antigen receptor” OR “chimeric T-cell receptor” OR “Receptors, Chimeric Antigen”. This resulted in a total number of 1891 studies, of which 264 were falsely annotated and manually excluded. Only studies where the intervention is a CAR-modified cell were included and due to their scarcity, CAR-NK, CAR-M, CAR-DC and other non-T cell products were not excluded.
We systematically screened the PubMed database to identify clinical trials involving CAR-T cell therapies. CAR T related MESH terms: “CAR-T” OR “chimeric antigen receptor” OR “chimeric T-cell receptor” OR “Receptors, Chimeric Antigen”, were used and results were filtered for “Clinical trial”. In this process 432 publications surfaced. We manually screened publications and filtered for studies with the following inclusion criteria: 1. peer reviewed clinical studies; 2. published until October 2024; 3. available in the English language. We excluded 1. duplicated trials, 2. preclinical papers, 3. studies without a registered trial number and 4. publications falsely indexed as CAR-T related. 296 unique publications were selected for meta-data extraction based on these criteria. Manufacturing details, if only referenced in the primary publication, were extracted from secondary literature, linked protocols and supplementary information, as well. We additionally assessed clinical trial registration platforms (clinicaltrials.gov, chictr.org.cn) of the corresponding clinical trials for study information. We collected in tabularized format 1. baseline characteristics of included studies (first author, last author, year of publication, date of clinical trial registration, country of trial registration, center of clinical trial, registration number, status of trial, trial phase); 2. details on CAR-T cells (target, format, intracellular domains); 3. clinical information (type of disease, clinical response, toxicities); 4.if publicly available, we collected manufacturing details (media, starting material, cytokines, activation methods, culture times, promoter, culture vessel)
Collected data contain information about target, structure, disease indication, geographical and chronological parameters. In case of fluctuating cytokine concentrations or adaptations in the manufacturing protocol, we opted to consider the highest concentration mentioned for data analysis.
Results
As of 15.10.2024, a total of 1727 CAR-T cell therapy clinical trials were registered on clinicaltrials.gov. We subsampled all PubMed articles that report on clinical CAR-T cell therapy results to provide an overview on manufacturing details and study information published in peer-reviewed journals, as further described in the methods sections of this review. Unlike information commercially available and meta information quickly accessible from general clinical trial information, this dataset includes tabularized additional information about CAR format, costimulatory domain(s), response rate and toxicity. We complemented the dataset with information about manufacturing of associated CAR-T products, including but not limited to: starting material, T cell activation method, culture medium, serum type and concentration, the type of gene delivery tool used and cytokines as well as their concentrations. On average, this information is available in less than 50 % of trials. When it was publicly available, information about culture times, culturing plates and promoters was also recorded. Notably, this information is only available in an even more limited number of study-associated publications, given that it is treated as a business secret by many, sometimes even among academic groups. After an initial screening, 296 interventional trials fulfilled the criteria for downstream analysis and were selected for our extraction of metadata and analysis (Figure 4a)
Figure 4. Comparison of all cell therapy clinical trials to a subsampled cohort of 296 trials.

A) Pie chart showing the number of subsampled trials compared to all registered CAR-T. The amount of trials B) per year, C) per regulatory region and D) per study sponsor (in order of most studies done across all CAR-T trials), E) per clinical phase and F) per trials status is portrayed to illustrate the representativeness of the subsampled cohort. G) Overview of subsampled CAR-T cell trials and the cellular antigens targeted in order of count. There are >30 additional studies targeting unique antigens. H) Pie chart showing the percentage of disease area targeted in the subsampled dataset.
First, we wanted to find out if the subsampled dataset has comparable proportional distribution and could thus be used as a representative cohort to inform on all global CAR-T cell therapy trials. To this end, we used primary trial characteristics such as the initiation date of the trial, the country, the sponsor and the trial phase, which are available for all CAR-T cell therapy trials and the subsampled cohort. The subsampled dataset encompasses clinical trials conducted between 2000 and 2024 (Figure 4b) including studies performed throughout the entire period of CAR-T trial registration. Data coverage is higher in the early years of CAR-T clinical trials due to the time gap between trial registration and final reporting. The subsampled trials have a certain temporal bias, which is inherent to reporting and academic publishing.
Geographic origin of the clinical trials was determined based on the location of the study center and investigator (Figure 4c,d) and further clustered into regulatory regions. Overall, most trials were run in China (118/296 studies, 39.9 % of subsampled trials vs. 912/1727, 52.8 % of total studies) and the United States (137/296, 46.3% of subsampled studies vs. 550/1727, 31.8 % of total trials), followed by Europe (21/296, 7.1 % vs. 142/1727, 8.2%), United Kingdom (7/296, 2.3% vs. 64/1727, 3.7 %), Australia (5/296, 1.7% vs. 17/1727 1.0%), Japan (2/296, 0.7 % vs. 10/1727 0.6 %), and others (<<1 %). Notably, the number of trials performed in the United Kingdom (7 samples vs 64) is over proportional compared to those run by the rest of Europe combined (21 subsamples vs 142 total). The subsampled trials cover studies of all mentioned regulatory regions reflecting 15-25 % of total trials and are thereby a representative geographical cohort. We must concede that results from pharma companies and Chinese academic research centers may be underrepresented. The ratio between registered trials and reported trials is lower compared to other countries.
The subsampled dataset reports trials conducted from early phase I trials up to phase III (Figure 4e). Late-stage clinical trials are either exclusively big pharma companies sponsored and/or run in China, or manufacturing details are treated as business secrets. The time shift in reporting has additional impact on bias towards early-stage clinical trials. Among the subsampled cohort, 79/296 (26.7 %) of the sampled trials were completed (vs.157/1727, 9.1 % total), 47/296 (15.8 %) were active (vs. 176/1727 10.1 %) and 66/296 (22.2 %) were actively recruiting (vs 813/1727, 47.1 %). Overall, 60/296 trials are marked with unknown status (20.2 % vs. 408/1727, 23.6 %) (Figure 4f). Due to the nature of the data collected, the subsampled dataset covers all mentioned statuses but underrepresenting late-stage clinical trials.
Within the analyzed cohort, all 296 studies disclose their target (Figure 4g). 61 different targets were identified as follows: CD19 (116/296 trials, 39.2 %), followed by BCMA (27/296 trials, %) trials) CD19 dual-CARs combined with either CD20, CD22, BCMA, CD123, CD7 (28/296 trials, 9.5 %) and GD2 (12/296 trials, 4 %). 283/290 (97.6 %) of subsampled trials investigate CAR-T cells in the context of malignant diseases (Figure 4h). 216/290 (74.5 %) of trials used CAR-T cells to treat hematological malignancies, followed by 62/290 (21.4 %) (targeting solid tumors. A small subset of trials (3 %) investigate CAR-T cell therapy for infectious (6/290, 2.1 %) or autoimmune (2/290, 0.7 %) diseases.
In summary, a very similar proportional distribution between the subsampled accessible study cohort and all global active or planned CAR-T cell therapy clinical trials was observed. We reason that the present included data set will thus be able to draw conclusions of use to the full cohort and community.
Initially, we performed a descriptive analysis of the accessible study cohort. As we have previously established some confidence of correlation to all clinical trials, we assume that this dataset of extended manufacturing parameters can inform on global trends as well.
In 214 of 296 trials (72.3 %), we could confidently identify the intracellular costimulatory domains present in the CAR (Figure 5a). 120/214 (56.1 %) of these trials use 4-1BB and 58/214 (27.1 %) CD28. 19/214 (8.9 %) of the trials combined both (represented as CD28BB, also known as third generation CAR). In a few trials from 2016-2022, novel costimulatory signals or combinations are used, such as CD27 or OX40 (<1 %). Trials evaluating three or more costimulatory signals and/or directly comparing them against each other were designated as other.
Figure 5. In-depth analysis of the cell therapy manufacturing processes in a subsampled trial cohort.

Plots showing A) costimulatory domains used in the subsampled dataset. B) Starting material used for CAR-T manufacturing. C) T cell activation cocktail used. D) Culture flask used. E) Base medium used. F) Type of serum used G) Virus or gene engineering vehicle used. H) The overall use of cytokine cocktails during CAR-T manufacturing and I) the same information by country of trial registration. For individual parameters numbers may not add up to 296 for lack of reporting.
An important determinant of CAR-T cell therapy quality is the source material. Out of the 296 sampled trials, 219 (74 %) informed on the starting material used for manufacturing (Figure 5b). 150/219 (68.5 %) of those used PBMCs gained via leukapheresis. The remaining studies (69/219, 30.5 %), enriched cells for specific subsets before further processing. The most common enrichments were done for CD3+ (29/219, 13.4 %) or a mixture of CD4/CD8+ cells (27/219, 12.5 %). Some studies also enriched exclusively CD8+ cells (4/219, <2 %) or highly purified, for instance CD25-/CD62L+ cells (6/219, <3 %).
Expansion and genetic modification of T cells requires prior activation104. This triggers cell division and is still indispensable for viral transduction. For example, transduction with VSV-G pseudotyped lentiviral vectors is reliant on the expression of its ligand, the LDL-R receptor, which is not constitutively expressed on naive T lymphocytes105. 189/296 of our subsampled trials reported on the activation method used (69.9 %, Figure 5c). 73/189 (38.6 %) trials used anti-CD3 antibody, either alone or in combination with feeder cells, IL-2 and or costimulatory signals. More recent trials make use of off-the-shelf clinical grade T cell activation reagents. 96/189 (50.8 %) trials use magnetic antibody-coated beads for T cell stimulation, typically Dynabeads. 13/189 (6.8 %) trials report on using Miltenyi’s colloidal polymeric nanomatrix conjugated to humanized CD3 and CD28 agonists (TransAct) as an alternative to antibodies or beads.
During CAR-T cells ex vivo manufacture, the type of culturing vessel may impact the quality of the final product. 31/296 trials (10.5 %) report on the cell culture vessel used (Figure 5d). 13/31 (41.93 %) of the trials use the CliniMACS closed cell culture platform, 11/31 (35.5 %) standard culture flasks or plates, 4/31 (12.9 %) gas permeable rapid cell expansion (G-rex) bioreactors and 3/31 (10 %) culture bags.
Finally, the culture medium supplies essential nutrients to T cells during ex vivo culture. Of 296 subsampled trials, 149 trials report on the cultivation media (Figure 5e). Media composition varies substantially. The most common media are X-VIVO-15 (58/149, 38.9 %) and AIM-V (32/149, 21.5 %) (Figure 5e). Other media include TexMACS (19/149, 12.8 %), RPMI1640 (17/149, 11.4 %), GT-T551 (6/149, 4 %), CTS Optimizer (4/149, 2.7 %), H3 (1/122), Immunocult-XF (1/122), KBM581 (1/122). Additionally, 77 of 296 trials report on the use of plasma or serum as culture media supplement. However, serum of bovine origin or other non-human sera comes with the potential risk of zoonotic pathogens106. One way to address this risk is the use of human serum (53/77, 68.8 %), or autologous plasma. 9/77 (11.7 %) trials used serum replacement or the use of serum-free media for cultivation (Figure 5f).
In order to express CAR on T cells, different gene delivery methods are employed. 233/296 trials disclosed their chosen strategy (Figure 5g). One trial reported to use transient gene expression methods. However, stable CAR expression may be important for long-term tumor control. Therefore, stable integration of the CAR into the genome via viral transduction of T cells remains the current method of choice. Retroviral transduction with retronectin as transduction facilitator was used from the early years of CAR-T cell trials (68/233, 29.2 %). With the development of 2nd and 3rd generation non-reproducing lentiviruses, this method has now become the most common gene delivery strategy in recent trials (142/233, 60.9 %). In spite of their proven utility, viral methods still account for a substantial share of costs, when it comes to manufacture GMP grade lentiviruses. Only 20/233, (8.6 %) of trials use alternative methods, including Piggy Bac and Sleeping Beauty transposases, which may be cheaper alternatives. These non-viral methods could thus help render therapy more accessible36,107. It is important to mention, that these strategies do not come without risks as there have been reports of patients developing CAR+ T cell lymphomas after Piggy Bac- generated CAR-T cell administration108. This has been attributed to PiggyBac’s preference for integrating into transcriptionally active regions, which increases the likelihood of insertional mutagenesis. In contrast, the Sleeping Beauty system exhibits a more random integration pattern, potentially reducing this risk.
Of 296 subsampled trials, 176 reported details on the specific cytokines used during the manufacturing process of CAR-T cells (59 %, Figure 5h). IL-2 was used in 114/176 (64.8 %) of production processes reporting on the utilized cytokines, followed by different dual and triple combinations of IL-7/IL-15 (25/176, 14.2 %), IL-2/IL-7/IL-15 (18/176, 10.2 %), IL-2/IL-15 (10/176, 5.7 %), IL-7/IL-15/IL-21 (2/176, 1.1 %) and others (<<3 %). China, the United States and Europe, where most trials are conducted, explore cytokines in diverse combinations (Figure 5i). A noteworthy finding is that only Seattle Children’s Hospital reports on use of IL-21 as part of their clinical manufacturing formulation within our dataset, which needs to be weighted when judging data on IL-21. Investigators from Australia and Japan rely on IL-2 and trials in the United Kingdom were run with IL-2 alone or in combination with IL-15. However, only two trials from Japan and four from Australia were included into this meta-analysis and thus do not allow conclusions towards geographical trends, except that cell therapy may still be in its early stages.
The analysis of 296 CAR-T cell therapy trials revealed key trends in manufacturing methods but a substantial proportion of studies failed to disclose key aspects of their protocol. Most trials (68.5%) used peripheral PBMCs from leukapheresis as the starting material, while some enriched specific subsets like CD3+ or CD4/CD8+ cells. Magnetic antibody-coated beads (50.8%) were the most common activation method, as well as next-generation cell culture systems are rapidly being implemented at a large scale. Stable CAR expression was predominantly achieved through lentiviral transduction (60.9%), with retroviral methods used less frequently (29.2%). For culture media, X-VIVO-15 (41.4%) and AIM-V (23%) were the most popular and the addition of IL-2 was highly favored.
In order to identify CAR-T manufacturing parameters, including cytokine composition, that could immediately inform potential patient outcome, we performed a correlative analysis among those parameters. We focused on analyzing the use of cytokines in correlation, namely with the activation method, base media, serum supplementation or gene delivery tool used during manufacturing. While generally the overlap of available accessory metadata is rather low, some correlations such as preferentially used media and cytokine cocktails, could still be observed.
To find factors most strongly associated with each other, we performed a correlation analysis (multiple Chi2 test) and displayed results in a matrix format (Supplementary Figure 1). Initially, some logical and historically influenced correlations had to be excluded. For example, generally, start date and status of trial correlate with the use of older methodologies. Also, the correlative index between disease type, authors and sponsors are the highest, indicating a strong dependency to investigators choices in the selection of the manufacturing process.
Factors that specifically correlate most with the type of cytokine used for manufacturing are the gene engineering vehicle, activation method, sponsor and field of application (Figure 6a). This stems in part for the lack of availability of several methods and reagents for in-human use. Viral gene delivery systems including retro- and lentiviral vectors were strongly favored and only a few T cell activation cocktails were commercially available. It is also not surprising that inversely, several media composition parameters correlate most closely with the sponsor (Figure 6b). Particularly use of base medium, cytokines and their concentration as well as serum, activation methods and culture times are implemented differently in each laboratory with diverging- or perhaps moderately different results.
Figure 6. Correlative analysis of cytokines and other parameters assessed.

A) Correlation of the cytokines used with every other parameter ordered by significance (log p < 0.05). B) Correlation of the sponsors with every other parameter ordered by significance (log p < 0.05). C) The use of cytokines as a function of time highlighting the complexity of cytokine formulations used. D) The concentration of IL2 or IL7 or IL15, independent of formulation, as a function time. Each dot represents one study. E) Cytokine formulations used in hematological and F) in solid tumor clinical trials from 2002 to 2024.
Early trials exclusively utilized IL-2. From 2008 onwards, some trials started to explore different combinations with other cytokines such as IL-7 and IL-15 (Figure 6c). Despite findings in 2011 that T cells, which are cultivated without IL-2 exhibit a favorable phenotype, IL-2 continues to be used in more than 50 % of trials to date.
An analysis of cytokine usage over time reveals an emerging trend in the utilization of more complex formulations including IL-7 and IL-15 and IL-21 in various combinations (Figure 6c). A discernible shift in the field indicates a convergence in IL-2 concentration compared to earlier trials (Figure 6d), with most trials using a median 200 IU/mL of IL-2. Outlier concentrations are heavily influenced by one laboratory and time-related reduction of IL-2 concentration coincides with publications highlighting the positive influences of IL-7 and IL-1563 as well as negative influences of IL-2 induced proliferation on CAR-T effector functions51. In 57% of cases, trials using high IL-2 concentrations (>1000 IU/mL) are targeting solid tumors, either against HER2 or CEA. When comparing hematologic malignancies versus solid tumors and observing the use of cytokines over time, it can only be concluded that cytokine solutions are becoming more diverse (Figure 6e,f). It can be speculated that while IL-2 still dominates hematological trials it may be disfavored towards solid tumor trials in the future.
Finally, we also correlate cytokines and response rates reported in clinical trials (Figure 7a,b). We are aware that comparisons between trials should be made with extreme caution. Typically, data can best be compared when trials are performed within a very similar patient population. We accept this as a limitation of this study and conclusions drawn from this dataset should be handled with caution and prospectively verified.
Figure 7. Correlative analysis of cytokines with other study components.

A) Distribution of cytokine use as a function of reported ORR and B) of CRR. C) Neurotoxicity and D) CRS by cytokines used. Data is shown as the percentage of the patient population. E) Heatmap showing most frequent combinations of cytokines and purification grade of starting material or F) activation method or G) base medium type or H) serum formulation or I) manufacturing platform.
Trials with low overall response rate (ORR), regardless of cytokine use, belong to the ones with first generation CAR-T cells or those targeting solid tumors, particularly neuroblastoma, glioblastoma and melanoma. More complex cytokine cocktails were established later, thus ORR and complete response rate (CRR) associated with those trials may appear higher. Similarly, while toxicities tend to be associated with IL-2 usage, the dataset is not yet large enough to reach statistical significance in this regard (Figure 7c,d). Thus, given the comparably small data set with a large heterogeneity in decisive parameters, we cannot conclude on the use of one over the other cytokine towards patient outcome.
We further correlated cytokines across other important manufacturing parameters such as source- and purification state of lymphocytes, their activation method, the base-medium and serum usage. Simpler and older activation methods such as the exclusive use of anti-CD3 antibodies and use of feeder cells correlate strongly with IL-2 usage, presumably for historical reasons (Figure 7f). In contrast, newer technologies that include anti-CD28 antibodies or coated beads / nano matrices are more often paired with complex cytokine formulations.
For the same reasons, simpler cell culture vessels such as standard plates and flasks correlate with IL-2 use and/or single-cytokine use. Newer, more complex bioreactors and totally closed manufacturing systems are paired with complex cytokine formulations as well (Figure 7i).
A similar, inverse time relationship can be observed when looking at base media (Figure 7g,h). While older base-media such as RPMI, and X-Vivo and AIM-V are combined with almost any cytokine mixture, more recently commercialized base-media formulations that include serum-free solutions are quite traditionally combined with IL-2 exclusively. The only exception to this trend is TexMACS, which correlates to a mix of IL-2, IL-7 and IL-15 cytokine combinations.
CAR-T cells originate from academic institutes long before big pharma sponsors jumped into the field. Since then, as clinical development of CAR-T cells is dominated by a small number of sponsors in China and the USA, we sought to evaluate trends in these sponsor groups specifically (Figure 8). Here, we made assumptions that investigators from one sponsor would likely collaborate or have a common cell manufacturing facility. It is not surprising that different researchers at the University of Pennsylvania have tested as well as reported on the use of several cytokine cocktails in the clinic. This is reflected in our dataset. In contrast, trials associated with National Cancer Institute (NCI) and Fred Hutchinson Cancer Center have not wavered from the use of IL-2 over time, as shown in our cohort. While data is scarce within the subsampled trials, it appears that investigators at Memorial Sloan Kettering and Baylor College of Medicine introduced or even fully switched to formulations including IL-7/IL-15. Chinese sponsors (Soochow University, PLA hospital, Shenzhen Medical Institute) appear to maintain IL-2-exclusive media formulations with some switching back to IL-2 from IL-2/IL-7/IL-15 formulations in recent years. This data highlights a lack of a consistent trend in the use of cytokines across sponsors. Though, admittedly this may change in the future as unpublished and undisclosed trials are advancing towards completion and reporting.
Figure 8. Key sponsors of CAR T clinical trials and cytokines they use over time.

Flow chart of most important sponsors, identified by the numbers of trials run in the subsampled data set ranked by the time periods between 2000-2010, 2011-2020 and 2020 until to date.
Discussion
A downside of current clinical trial registration that impacts informative analyses, is that only a limited amount of information is disclosed to the public. The available information is insufficient to evaluate systematically therapeutic agents and allow cross-trial comparisons. Delays in public reporting led to massive gaps in our actual understanding of the studied therapies. For CAR-T cell therapy in particular, the quality of this “living drug” is dependent on a potentially infinite number of parameters that may be individually optimized. Centralized and non-standardized production leads to different protocols across centers, resulting in different qualities of the final product and thus potentially patient outcome, both of which are ultimately difficult to compare101. In an attempt to shed some lights on these aspects, we performed an analysis on meta-data extracted from 296 trial associated reports. Manufacturing details including starting material, gene engineering vehicle and cytokine use, but also response rates and toxicity scores were extracted from primary- and secondary sources and combined with basic parameters from clinicaltrials.gov. We are aware that conclusions drawn from comparisons across trials should be handled with care. Nevertheless, we believe that in an attempt to standardize processes and share learnings of pioneers in the field with the broader scientific community, this collection is warranted.
The investigator themselves emerges as major variable determining the parameters used across studies (Figure 6a,b), which similarly may bias the literature as some authors are overrepresented in our data set. As processes have become more sophisticated and multiple GMP-compliant products are launched by several suppliers, their use has diversified in later compared to earlier years. It is evident that current data prevents conclusions on clear advantages of any CAR-T manufacturing over the others. Going forward, there is no clear consensus on these processes and any differences remain nominal.
We outline that early on CAR-T manufacturing protocols heavily relied on IL-2 for its potent induction of antigen-independent T cell proliferation. After several preclinical scientific discoveries implicating IL-2 usage with unfavorable cell characteristics64, other common-y cytokines were screened to better CAR-T manufacturing. Although solid clinical evidence that factually supports negative influence of IL-2 is missing, IL-15 and IL-21 are generally seen as favorable and their usage is growing. In any case, clinical manufacturing use of IL-2 has not been discontinued, and the use of different cytokine cocktails continues to be controversially discussed. Unfortunately, side by side comparisons of different cytokine combinations are only found in preclinical studies and have been extensively studied in other meta-analyses64,69,109. An aspect to consider is the use of healthy donor T cells for preclinical validation of cytokine combinations. In the case of autologous CAR-T cell transfer, a starting material from a diseased patient dramatically differs from a healthy donor, potentially comprising cells of inferior quality.
Identification of optimal CAR-T manufacturing parameters, including cytokine composition and concentration based on the present data-set is challenging. For some categories, we could only assess a very limited number of trials and the overall diversity weakens or biases statistics. Policies on reporting of manufacturing are extremely heterogeneous, as in a business setting mostly considered a trade secret. A positive example is the academic team that developed ARI-0001, a CD19-CAR-T product approved for hospital-use in Spain110. They reported their manufacturing pipeline in detail, allowing more precise appreciation and eventually replication thereof. Yet another hurdle in attempting to align production parameters is that most manufacturers of approved products do not disclose their production processes and if they do so, the information is not tabularized or collected in a database. Thus, learnings from these very potent approved products cannot be applied generally in the field to improve patient outcome in unrelated CAR-T associated trials. Finally, clinical results are additionally biased by patient selection criteria, target and indication, which cannot be easily normalized and we mostly disregarded those in the report.
We believe that foremost, this report offers a representative overview of the field and trends in development. Regrettably, our efforts to establish correlations between various production factors and patient outcomes did not yield any relevant associations, likely because of missing information in a substantial amount of studies and – or the extreme diversity observed in our target parameters. As a result, we were unable to pinpoint any specific components that are likely to immediately contribute to improved patient outcomes. Nonetheless, this does not imply that the production process may be irrelevant to the final product quality, as evidenced by numerous previous studies100,101. At the same time, our summary is reassuring in the sense that the protocols used in the recent past do not seem to underperform compared to others, indicating that differences may be more subtle and that patients may not suffer from this landscape with limited harmonization. Although consensus has recently been challenged, as researchers at the University of Pennsylvania showed novel and groundbreaking evidence of IL-2 having a favorable effect compared to IL-7/IL-15 combinations on the long-term persistence and efficacy of CAR-T cells in vivo68.
In order to superimpose where the field of cell therapy development is heading, we also discuss key literature around next-generation CAR-T cell products. Particularly cytokine-armored CAR-T cell products and shortened or in vivo production processes hold great potential in drastically changing the existing cell therapy landscape for patient outcome95,96,111–114. While early trials using these armored CAR-T cells focused on maximizing cytotoxic activity, a more balanced approach with manageable safety features is favored115,116. By reducing waiting time for a cell therapy, imposed by ex vivo expansion, patients may be able to receive earlier treatment without bridging therapy. In conclusion, we want to foreshadow that in the distant future, CAR-T cell manufacturing may be entirely translocated into the patient’s own body. In fact, as previously mentioned, the first patient has already been treated with in vivo generated CAR-T cells117. At the same time, such development may call for even more work on the role of cytokines to identify precisely in vivo cytokine requirements for optimal activity in the absence of lymphodepletion. This potential development could most drastically reduce GMP-related production costs and improve patient outcomes.
For now, however, a more universal standardized production procedure has the potential to lower costs and improve patient outcome. This could positively influence a decentralized manufacturing model where manufacturing logistics and production are automated and streamlined, leading to faster end-to-end processes. However, to permit successful roll-out, a collection and establishment of multi-center manufacturing guidelines are needed. Another important requirement would be the detailed disclosure of protocols in future publications, which should be prioritized by journals. This would also allow for comparability of CAR-T cell development, which is currently almost impossible, as this field is biased by investigators preferences, rather than harmonization and firm evidence. Globally, it will be essential to enhance knowledge sharing between researchers and create a hub for scientific exchange. This will help streamline clinical development with appropriate standards. Sharing knowledge and letting scientists benefit from the learnings of pioneers in the field should be a given and we hope for transparency in sharing these results.
Limitations of the study
There are several limitations implied with the complexity of this study: first, study quality is inherently related to the one of the underlying 296 trials; second, we are limited to published literature on PubMed that is correctly indexed as clinical trial related data. This may lead to an underrepresentation of trials, especially those published in smaller or non-indexed journals, conference abstracts, or other non-traditional formats. This study is also subject to publication bias and may favor positive data that may be more extensively reported. Phase I/II data is overrepresented. Because of the lag phase between study initiation and reporting of clinical data, there may be a lack of transparency regarding more recent manufacturing processes. Taking all these liabilities into consideration, conclusions drawn from our collection might falsely lead to scientific exploration in avenues that lack reporting. Finally, we acknowledge that comparisons of response rates across trials with different products, different disease indications and individual patient selection criteria, are extremely fragile, if not impossible. Thus, particularly correlations of any manufacturing factor with response rates and toxicity scores should not be seen as evidential and looked at with care. We hope that as the bulk of initiated studies will start reporting results publicly, the field may be endowed with a larger database for comparison and parameter analysis, and we pledge for a central collection or repository in the future.
Supplementary Material
Acknowledgement
This study was supported by the Bavarian Cancer Research Center (BZKF) (TANGO to S.K.), the Deutsche Forschungsgemeinschaft (DFG, grant number: KO5055-2-1 and KO5055/3-1 to S.K.), the international doctoral program ‘i-Target: immunotargeting of cancer’ (funded by the Elite Network of Bavaria; to S. K.), the Melanoma Research Alliance (grant number 409510 to S.K.), Marie Sklodowska-Curie Training Network for Optimizing Adoptive T Cell Therapy of Cancer (funded by the Horizon 2020 programme of the European Union; grant 955575 to S.K.), Else Kröner-Fresenius-Stiftung (IOLIN to S.K.), German Cancer Aid (AvantCAR.de to S.K.), the Wilhelm-Sander-Stiftung (to S. K.), Ernst Jung Stiftung (to S.K.), Institutional Strategy LMUexcellent of LMU Munich (within the framework of the German Excellence Initiative; to S.E. and S.K.), the Go-Bio-Initiative (to S.K.), the m4-Award of the Bavarian Ministry for Economical Affairs (to S.K.), Bundesministerium für Bildung und Forschung (to S.K.), European Research Council (Starting Grant 756017, PoC Grant 101100460 and CoG 101124203 to S. K.), by the SFB-TRR 338/1 2021–452881907 (to S.K.), Fritz-Bender Foundation (to S.K.), Deutsche José Carreras Leukämie Stiftung (to S.K.), Hector Foundation (to S.K.), Bavarian Research Foundation (BAYCELLATOR to S.K.), the Bruno and Helene Jöster Foundation (360° CAR to S.K.), the Monika-Kutzner Foundation (to S.K.), H.L. received research support from BMS, GlycoEra, Ono Pharmaceutical, and Palleon Pharmaceuticals.
Footnotes
Competing interests
S.K. has received honoraria from Cymab, Plectonic, TCR2 Inc, Galapagos, Novartis, BMS, Miltenyi and GSK. S.K. is an inventor of several patents in the field of immuno-oncology. S.K. received license fees from TCR2 Inc and Carina Biotech. S.K. received research support from Tabby Therapeutics, TCR2 Inc., Plectonic GmBH, Catalym GmBH and Arcus Bioscience for work unrelated to the manuscript.
D.S., C.K., and D.V., are current or former employees of Roche and hold ownership of Roche stocks and patents/royalties.
H.L. received travel grants and consultant fees from BMS and Merck, Sharp and Dohme (MSD). H.L. is a co-founder of Glycocalyx Therapeutics.
S.T. has received honoraria from Amgen, BMS, GSK, Janssen, Pfizer, Sanofi, Takeda, Kyowa Kirin and Oncopeptides.
A.Z. received consulting/advisor fees from Bristol-Myers Squibb, Merck Sharp & Dohme, Hoffmann–La Roche, NBE Therapeutics, Engimmune, and maintains further non-commercial research agreements with Hoffmann–La Roche, T3 Pharma, Bright Peak Therapeutics, AstraZeneca.
T.d.G. is an inventor of several patents in the field of immuno-oncology as an employee of Amsterdam UMC and holds stock from and is scientific advisor to Lava Therapeutics.
The remaining authors declare no competing interests.
References
- 1.Trabolsi A, Arumov A, Schatz JH. Bispecific antibodies and CAR-T cells: dueling immunotherapies for large B-cell lymphomas. Blood Cancer J. 2024;14 doi: 10.1038/s41408-024-00997-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Al Hadidi S, Heslop HE, Brenner MK, Suzuki M. Bispecific antibodies and autologous chimeric antigen receptor T cell therapies for treatment of hematological malignancies. Mol Ther. 2024;32:2444–2460. doi: 10.1016/j.ymthe.2024.05.039. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Kim J, et al. CAR T cells vs bispecific antibody as third- or later-line large B-cell lymphoma therapy: a meta-analysis. Blood. 2024;144:629–638. doi: 10.1182/blood.2023023419. [DOI] [PubMed] [Google Scholar]
- 4.Saez-Ibañez AR, et al. The changing landscape of cancer cell therapies: clinical trials and real-world data. Nat Rev Drug Discov. 2024;2022:2023–2024. doi: 10.1038/d41573-024-00094-4. [DOI] [PubMed] [Google Scholar]
- 5.Rosenberg SA, Spiess P, Lafreniere R. A new approach to the adoptive immunotherapy of cancer with tumor-infiltrating lymphocytes. Science (80- ) 1986;233:1318–1321. doi: 10.1126/science.3489291. [DOI] [PubMed] [Google Scholar]
- 6.Gross G, Waks T, Eshhar Z. Expression of immunoglobulin-T-cell receptor chimeric molecules as functional receptors with antibody-type specificity. Proc Natl Acad Sci U S A. 1989;86:10024–10028. doi: 10.1073/pnas.86.24.10024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Eshhar Z, Waks T, Gkoss G, Schindler DG. Specific activation and targeting of cytotoxic lymphocytes through chimeric single chains consisting of antibody-binding domains and the γ or ζ subunits of the immunoglobulin and T-cell receptors. Proc Natl Acad Sci U S A. 1993;90:720–724. doi: 10.1073/pnas.90.2.720. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Kershaw MH, et al. A Phase I Study on Adoptive Immunotherapy Using Gene-Modified T Cells for Ovarian Cancer. Clin Cancer Res. 2006;12:6106–6115. doi: 10.1158/1078-0432.CCR-06-1183. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Lamers CHJ, et al. Treatment of Metastatic Renal Cell Carcinoma With Autologous T-Lymphocytes Genetically Retargeted Against Carbonic Anhydrase IX: First Clinical Experience. J Clin Oncol. 2006;24:e20–e22. doi: 10.1200/JCO.2006.05.9964. [DOI] [PubMed] [Google Scholar]
- 10.Chen L, Flies DB. Molecular mechanisms of T cell co-stimulation and co-inhibition. Nat Rev Immunol. 2013;13:227–242. doi: 10.1038/nri3405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Hwang JR, Byeon Y, Kim D, Park SG. Recent insights of T cell receptor-mediated signaling pathways for T cell activation and development. Exp Mol Med. 2020;52:750–761. doi: 10.1038/s12276-020-0435-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Krause A, et al. Antigen-dependent CD28 signaling selectively enhances survival and proliferation in genetically modified activated human primary T lymphocytes. J Exp Med. 1998;188:619–626. doi: 10.1084/jem.188.4.619. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Savoldo B, et al. CD28 costimulation improves expansion and persistence of chimeric antigen receptor–modified T cells in lymphoma patients. J Clin Invest. 2011;121:1822–1826. doi: 10.1172/JCI46110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Milone MC, et al. Chimeric Receptors Containing CD137 Signal Transduction Domains Mediate Enhanced Survival of T Cells and Increased Antileukemic Efficacy In Vivo. Mol Ther. 2009;17:1453–1464. doi: 10.1038/mt.2009.83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Kalos M, et al. T Cells with Chimeric Antigen Receptors Have Potent Antitumor Effects and Can Establish Memory in Patients with Advanced Leukemia. Sci Transl Med. 2011;3 doi: 10.1126/scitranslmed.3002842. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Porter DL, Levine BL, Kalos M, Bagg A, June CH. Chimeric Antigen Receptor– Modified T Cells in Chronic Lymphoid Leukemia. N Engl J Med. 2011;365:725–733. doi: 10.1056/NEJMoa1103849. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Grupp SA, et al. Chimeric Antigen Receptor–Modified T Cells for Acute Lymphoid Leukemia. N Engl J Med. 2013;368:1509–1518. doi: 10.1056/NEJMoa1215134. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Kochenderfer JN, et al. Chemotherapy-refractory diffuse large B-cell lymphoma and indolent B-cell malignancies can be effectively treated with autologous T cells expressing an anti-CD19 chimeric antigen receptor. J Clin Oncol. 2015;33:540–549. doi: 10.1200/JCO.2014.56.2025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Mitra A, et al. From bench to bedside: the history and progress of CAR T cell therapy. Front Immunol. 2023;14:1–14. doi: 10.3389/fimmu.2023.1188049. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Qi C, et al. Claudin18.2-specific CAR T cells in gastrointestinal cancers: phase 1 trial interim results. Nat Med. 2022;28:1189–1198. doi: 10.1038/s41591-022-01800-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Mackensen A, et al. CLDN6-specific CAR-T cells plus amplifying RNA vaccine in relapsed or refractory solid tumors: the phase 1 BNT211-01 trial. Nat Med. 2023;29:2844–2853. doi: 10.1038/s41591-023-02612-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Monje M, et al. Intravenous and intracranial GD2-CAR T cells for H3K27M+ diffuse midline gliomas. Nature. 2024 doi: 10.1038/s41586-024-08171-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Dorff TB, et al. PSCA-CAR T cell therapy in metastatic castration-resistant prostate cancer: a phase 1 trial. Nat Med. 2024;30:1636–1644. doi: 10.1038/s41591-024-02979-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Hollyman D, et al. Manufacturing Validation of Biologically Functional T Cells Targeted to CD19 Antigen for Autologous Adoptive Cell Therapy. J Immunother. 2009;32:169–180. doi: 10.1097/CJI.0b013e318194a6e8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Steffin D, et al. Interleukin-15-armoured GPC3 CAR T cells for patients with solid cancers. Nature. 2024 doi: 10.1038/s41586-024-08261-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Shah M, Krull A, Odonnell L, de Lima MJ, Bezerra E. Promises and challenges of a decentralized CAR T-cell manufacturing model. Front Transplant. 2023;2:1–9. doi: 10.3389/frtra.2023.1238535. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Ran T, Eichmüller SB, Schmidt P, Schlander M. Cost of decentralized CAR T-cell production in an academic nonprofit setting. Int J Cancer. 2020;147:3438–3445. doi: 10.1002/ijc.33156. [DOI] [PubMed] [Google Scholar]
- 28.Kedmi M, et al. Point-of-care anti-CD19 CAR T-cells for treatment of relapsed and refractory aggressive B-cell lymphoma. Transplant Cell Ther. 2022;28:251–257. doi: 10.1016/j.jtct.2022.02.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Warreth S, Harris E. The Regulatory Landscape for ATMPs in the EU and US: a Comparison. Lev 3. 2020;15:5. [Google Scholar]
- 30.KD SS, et al. Regulatory landscape and challenges in CAR-T cell therapy development in the US, EU, Japan, and India. Eur J Pharm Biopharm. 2024;201:114361. doi: 10.1016/j.ejpb.2024.114361. [DOI] [PubMed] [Google Scholar]
- 31.Ayala Ceja M, Khericha M, Harris CM, Puig-Saus C, Chen YY. CAR-T cell manufacturing: Major process parameters and next-generation strategies. J Exp Med. 2024;221:1–14. doi: 10.1084/jem.20230903. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Wang X, Rivière I. Clinical manufacturing of CAR T cells: Foundation of a promising therapy. Mol Ther Oncolytics. 2016;3:16015. doi: 10.1038/mto.2016.15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Riddell SR, Greenberg PD. The use of anti-CD3 and anti-CD28 monoclonal antibodies to clone and expand human antigen-specific T cells. J Immunol Methods. 1990;128:189–201. doi: 10.1016/0022-1759(90)90210-m. [DOI] [PubMed] [Google Scholar]
- 34.Benavidez Arias M, Nguyen A, Ross D, Eagerton D, Ritthipichai K. Lighting the way: an economical alternative to feeder cell Irradiation for T-cell expansion. Front Immunol. 2024;15:1–11. doi: 10.3389/fimmu.2024.1453740. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Singh H, et al. Sleeping beauty generated CD19 CAR T-Cell therapy for advanced B-Cell hematological malignancies. Front Immunol. 2022;13:1–10. doi: 10.3389/fimmu.2022.1032397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Metanat Y, et al. The paths toward non-viral CAR-T cell manufacturing: A comprehensive review of state-of-the-art methods. Life Sci. 2024;348 doi: 10.1016/j.lfs.2024.122683. [DOI] [PubMed] [Google Scholar]
- 37.Zhang J, et al. Non-viral, specifically targeted CAR-T cells achieve high safety and efficacy in B-NHL. Nature. 2022;609:369–374. doi: 10.1038/s41586-022-05140-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Blache U, Popp G, Dünkel A, Koehl U, Fricke S. Potential solutions for manufacture of CAR T cells in cancer immunotherapy. Nat Commun. 2022;13:1–5. doi: 10.1038/s41467-022-32866-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Puck TT, Marcus PI. a Rapid Method for Viable Cell Titration and Clone Production With Hela Cells in Tissue Culture: the Use of X-Irradiated Cells To Supply Conditioning Factors. Proc Natl Acad Sci. 1955;41:432–437. doi: 10.1073/pnas.41.7.432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Morgan DA, Ruscetti FW, Gallo R. Selective in vitro Growth of T Lymphocytes from normal human bone marrows. Science (80- ) 1976;193:1007–1008. doi: 10.1126/science.181845. [DOI] [PubMed] [Google Scholar]
- 41.Gillis S, Smith KA. Long term culture of tumour-specific cytotoxic T cells. Nature. 1977;268:154–156. doi: 10.1038/268154a0. [DOI] [PubMed] [Google Scholar]
- 42.Rosenberg SA, et al. Use of Tumor-Infiltrating Lymphocytes and Interleukin-2 in the Immunotherapy of Patients with Metastatic Melanoma. N Engl J Med. 1988;319:1676–1680. doi: 10.1056/NEJM198812223192527. [DOI] [PubMed] [Google Scholar]
- 43.Rosenberg SA. IL-2: The First Effective Immunotherapy for Human Cancer. J Immunol. 2014;192:5451–5458. doi: 10.4049/jimmunol.1490019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.McDermott DF, et al. The High-Dose Aldesleukin “Select” Trial: A Trial to Prospectively Validate Predictive Models of Response to Treatment in Patients with Metastatic Renal Cell Carcinoma. Clin Cancer Res. 2015;21:561–568. doi: 10.1158/1078-0432.CCR-14-1520. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Malek TR, Yu A, Vincek V, Scibelli P, Kong L. CD4 regulatory T cells prevent lethal autoimmunity in IL-2Rβ-deficient mice: Implications for the nonredundant function of IL-2. Immunity. 2002;17:167–178. doi: 10.1016/s1074-7613(02)00367-9. [DOI] [PubMed] [Google Scholar]
- 46.Chinen T, et al. An essential role for the IL-2 receptor in T reg cell function. Nat Immunol. 2016;17:1322–1333. doi: 10.1038/ni.3540. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Fontenot JD, et al. Regulatory T cell lineage specification by the forkhead transcription factor Foxp3. Immunity. 2005;22:329–341. doi: 10.1016/j.immuni.2005.01.016. [DOI] [PubMed] [Google Scholar]
- 48.Sakaguchi S, Sakaguchi N, Asano M, Itoh M, Toda M. Immunologic self-tolerance maintained by activated T cells expressing IL-2 receptor alpha-chains (CD25). Breakdown of a single mechanism of self-tolerance causes various autoimmune diseases. J Immunol. 1995;155:1151–1164. [PubMed] [Google Scholar]
- 49.Gattinoni L, et al. A human memory T cell subset with stem cell-like properties. Nat Med. 2011;17:1290–1297. doi: 10.1038/nm.2446. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Wang S, et al. Exogenous IL-2 delays memory precursors generation and is essential for enhancing memory cells effector functions. iScience. 2024;27:109411. doi: 10.1016/j.isci.2024.109411. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Kaartinen T, et al. Low interleukin-2 concentration favors generation of early memory T cells over effector phenotypes during chimeric antigen receptor T-cell expansion. Cytotherapy. 2017;19:689–702. doi: 10.1016/j.jcyt.2017.03.067. [DOI] [PubMed] [Google Scholar]
- 52.Silveira CRF, et al. Cytokines as an important player in the context of CAR-T cell therapy for cancer: Their role in tumor immunomodulation, manufacture, and clinical implications. Front Immunol. 2022;13:1–13. doi: 10.3389/fimmu.2022.947648. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Gonnord P, et al. A hierarchy of affinities between cytokine receptors and the common gamma chain leads to pathway cross-talk. Sci Signal. 2018;11:1–12. doi: 10.1126/scisignal.aal1253. [DOI] [PubMed] [Google Scholar]
- 54.Moraga I, Spangler J, Mendoza JL, Garcia KC. Advances in Immunology. Vol. 121. Elsevier Inc; 2014. Multifarious Determinants of Cytokine Receptor Signaling Specificity. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Leonard WJ, Lin JX. Cytokine receptor signaling pathways. J Allergy Clin Immunol. 2000;105:877–888. doi: 10.1067/mai.2000.106899. [DOI] [PubMed] [Google Scholar]
- 56.Leonard WJ, Lin JX, O’Shea JJ. The γ c Family of Cytokines: Basic Biology to Therapeutic Ramifications. Immunity. 2019;50:832–850. doi: 10.1016/j.immuni.2019.03.028. [DOI] [PubMed] [Google Scholar]
- 57.Lodolce JP, Burkett PR, Koka RM, Boone DL, Ma A. Regulation of lymphoid homeostasis by interleukin-15. Cytokine Growth Factor Rev. 2002;13:429–439. doi: 10.1016/s1359-6101(02)00029-1. [DOI] [PubMed] [Google Scholar]
- 58.Tan JT, et al. IL-7 is critical for homeostatic proliferation and survival of naïve T cells. Proc Natl Acad Sci U S A. 2001;98:8732–8737. doi: 10.1073/pnas.161126098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Rochman Y, Spolski R, Leonard WJ. New insights into the regulation of T cells by γc family cytokines. Nat Rev Immunol. 2009;9:480–490. doi: 10.1038/nri2580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Sabatino M, et al. Generation of clinical-grade CD19-specific CAR-modified CD81 memory stem cells for the treatment of human B-cell malignancies. Blood. 2016;128:519–528. doi: 10.1182/blood-2015-11-683847. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Lu J, et al. Interleukin 15 promotes antigen-independent in vitro expansion and long-term survival of antitumor cytotoxic T lymphocytes. Clin Cancer Res. 2002;8:3877–84. [PubMed] [Google Scholar]
- 62.Perna SK, et al. Interleukin 15 Provides Relief to CTLs from Regulatory T Cell–Mediated Inhibition: Implications for Adoptive T Cell–Based Therapies for Lymphoma. Clin Cancer Res. 2013;19:106–117. doi: 10.1158/1078-0432.CCR-12-2143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Xu Y, et al. Closely related T-memory stem cells correlate with in vivo expansion of CAR.CD19-T cells and are preserved by IL-7 and IL-15. Blood. 2014;123:3750–3759. doi: 10.1182/blood-2014-01-552174. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Xu XJ, et al. Multiparameter comparative analysis reveals differential impacts of various cytokines on CART cell phenotype and function ex vivo and in vivo. Oncotarget. 2016;7:82354–82368. doi: 10.18632/oncotarget.10510. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Hinrichs CS, et al. IL-2 and IL-21 confer opposing differentiation programs to CD8+ T cells for adoptive immunotherapy. Blood. 2008;111:5326–5333. doi: 10.1182/blood-2007-09-113050. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Chen Y, et al. Adoptive Transfer of Interleukin-21-stimulated Human CD8+ T Memory Stem Cells Efficiently Inhibits Tumor Growth. J Immunother. 2018;41:274–283. doi: 10.1097/CJI.0000000000000229. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Markley JC, Sadelain M. IL-7 and IL-21 are superior to IL-2 and IL-15 in promoting human T cell-mediated rejection of systemic lymphoma in immunodeficient mice. Blood. 2010;115:3508–3519. doi: 10.1182/blood-2009-09-241398. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Hopkins CR, et al. In Vivo Persistence and Function of CAR19 T-Cell Products for Pediatric B-Cell Acute Lymphoblastic Leukemia Are Impacted By Media, Cytokine Supplementation and Metabolite Bioavailability during Ex Vivo Manufacturing. 66th ASH Annu Meet Abstr. 2024;144:3473–3474. [Google Scholar]
- 69.Yang S, et al. Modulating the differentiation status of ex vivo-cultured anti-tumor T cells using cytokine cocktails. Cancer Immunol Immunother. 2013;62:727–736. doi: 10.1007/s00262-012-1378-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Nishimura T, et al. The critical role of Th1-dominant immunity in tumor immunology. Cancer Chemother Pharmacol. 2000;46:52–61. doi: 10.1007/pl00014051. [DOI] [PubMed] [Google Scholar]
- 71.Kasuya H, et al. High CD62L expression predicts the generation of chimeric antigen receptor T cells with potent effector functions. Int Immunol. 2024;36:353–364. doi: 10.1093/intimm/dxae015. [DOI] [PubMed] [Google Scholar]
- 72.Nakanishi K. Unique action of Interleukin-18 on T cells and other immune cells. Front Immunol. 2018;9 doi: 10.3389/fimmu.2018.00763. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Li W, et al. IL-18 primes T cells with an antigen-inexperienced memory phenotype for proliferation and differentiation into effector cells through Notch signaling. J Leukoc Biol. 2024;00:1–16. doi: 10.1093/jleuko/qiae172. [DOI] [PubMed] [Google Scholar]
- 74.Cimbro R, et al. IL-7 induces expression and activation of integrin α4β7 promoting naive T-cell homing to the intestinal mucosa. Blood. 2012;120:2610–2619. doi: 10.1182/blood-2012-06-434779. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Conlon KC, et al. Redistribution, hyperproliferation, activation of natural killer cells and CD8 T cells, and cytokine production during first-in-human clinical trial of recombinant human interleukin-15 in patients with cancer. J Clin Oncol. 2015;33:74–82. doi: 10.1200/JCO.2014.57.3329. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Shi D, et al. Chimeric Antigen Receptor-Glypican-3 T-Cell Therapy for Advanced Hepatocellular Carcinoma: Results of Phase I Trials. Clin Cancer Res. 2020;26:3979–3989. doi: 10.1158/1078-0432.CCR-19-3259. [DOI] [PubMed] [Google Scholar]
- 77.Norelli M, et al. Monocyte-derived IL-1 and IL-6 are differentially required for cytokine-release syndrome and neurotoxicity due to CAR T cells. Nat Med. 2018;24:739–748. doi: 10.1038/s41591-018-0036-4. [DOI] [PubMed] [Google Scholar]
- 78.Giavridis T, et al. CAR T cell-induced cytokine release syndrome is mediated by macrophages and abated by IL-1 blockade letter. Nat Med. 2018;24:731–738. doi: 10.1038/s41591-018-0041-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Straathof KC, et al. An inducible caspase 9 safety switch for T-cell therapy. Blood. 2005;105:4247–4254. doi: 10.1182/blood-2004-11-4564. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Chmielewski M, Abken H. CAR T cells transform to trucks: Chimeric antigen receptor-redirected T cells engineered to deliver inducible IL-12 modulate the tumour stroma to combat cancer. Cancer Immunol Immunother. 2012;61:1269–1277. doi: 10.1007/s00262-012-1202-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Chmielewski M, Abken H. CAR T Cells Releasing IL-18 Convert to T-Bethigh FoxO1low Effectors that Exhibit Augmented Activity against Advanced Solid Tumors. Cell Rep. 2017;21:3205–3219. doi: 10.1016/j.celrep.2017.11.063. [DOI] [PubMed] [Google Scholar]
- 82.Pegram HJ, et al. Tumor-targeted T cells modified to secrete IL-12 eradicate systemic tumors without need for prior conditioning. Blood. 2012;119:4133–4141. doi: 10.1182/blood-2011-12-400044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Zhang L, et al. Tumor-Infiltrating Lymphocytes Genetically Engineered with an Inducible Gene Encoding Interleukin-12 for the Immunotherapy of Metastatic Melanoma. Clin Cancer Res. 2015;21:2278–2288. doi: 10.1158/1078-0432.CCR-14-2085. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Dinarello CA. IL-18: AtH1-inducing, proinflammatory cytokine and new member of the IL-1 family. J Allergy Clin Immunol. 1999;103:11–24. doi: 10.1016/s0091-6749(99)70518-x. [DOI] [PubMed] [Google Scholar]
- 85.Larson RC, et al. CAR T cell killing requires the IFNγR pathway in solid but not liquid tumours. Nature. 2022;604:563–570. doi: 10.1038/s41586-022-04585-5. [DOI] [PubMed] [Google Scholar]
- 86.Svoboda J, et al. Safety and efficacy of armored huCART19-IL18 in patients with relapsed/refractory lymphomas that progressed after anti-CD19 CAR T cells. J Clin Oncol. 2024;42:7004. [Google Scholar]
- 87.Fischer-Riepe L, et al. Preclinical Development of CAR T Cells with Antigen-Inducible IL18 Enforcement to Treat GD2-Positive Solid Cancers. Clin Cancer Res. 2024;30:3564–3577. doi: 10.1158/1078-0432.CCR-23-3157. [DOI] [PubMed] [Google Scholar]
- 88.Zhang Q, et al. A human orthogonal IL-2 and IL-2Rβ system enhances CAR T cell expansion and antitumor activity in a murine model of leukemia. Sci Transl Med. 2021;13 doi: 10.1126/scitranslmed.abg6986. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Sockolosky JT, et al. Selective targeting of engineered T cells using orthogonal IL-2 cytokine-receptor complexes. Science (80- ) 2018;359:1037–1042. doi: 10.1126/science.aar3246. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Allen GM, et al. Synthetic cytokine circuits that drive T cells into immune-excluded tumors. Science (80- ) 2022;378 doi: 10.1126/science.aba1624. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Smith M, et al. Gut microbiome correlates of response and toxicity following anti-CD19 CAR T cell therapy. Nat Med. 2022;28:713–723. doi: 10.1038/s41591-022-01702-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Stein-Thoeringer CK, et al. A non-antibiotic-disrupted gut microbiome is associated with clinical responses to CD19-CAR-T cell cancer immunotherapy. Nat Med. 2023;29:906–916. doi: 10.1038/s41591-023-02234-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Luu M, et al. Microbial short-chain fatty acids modulate CD8+ T cell responses and improve adoptive immunotherapy for cancer. Nat Commun. 2021;12:4077. doi: 10.1038/s41467-021-24331-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Klysz DD, et al. Inosine induces stemness features in CAR-T cells and enhances potency. Cancer Cell. 2024;42:266–282.:e8. doi: 10.1016/j.ccell.2024.01.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 95.Ghassemi S, et al. Reducing ex vivo culture improves the antileukemic activity of chimeric antigen receptor (CAR) T cells. Cancer Immunol Res. 2018;6:1100–1109. doi: 10.1158/2326-6066.CIR-17-0405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Yang J, et al. Next-day manufacture of a novel anti-CD19 CAR-T therapy for B-cell acute lymphoblastic leukemia: first-in-human clinical study. Blood Cancer J. 2022;12:104. doi: 10.1038/s41408-022-00694-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 97.Ghassemi S, et al. Rapid manufacturing of non-activated potent CAR T cells. Nat Biomed Eng. 2022;6:118–128. doi: 10.1038/s41551-021-00842-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Ghassemi S, et al. Reducing ex vivo culture improves the antileukemic activity of chimeric antigen receptor (CAR) T cells. Cancer Immunol Res. 2018;6:1100–1109. doi: 10.1158/2326-6066.CIR-17-0405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Jamali A, et al. Early induction of cytokine release syndrome by rapidly generated CAR T cells in preclinical models. EMBO Mol Med. 2024;16:784–804. doi: 10.1038/s44321-024-00055-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Cappell KM, Kochenderfer JN. Long-term outcomes following CAR T cell therapy: what we know so far. Nature Reviews Clinical Oncology. 2023;20:359–371. doi: 10.1038/s41571-023-00754-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Watanabe N, Mo F, McKenna MK. Impact of Manufacturing Procedures on CAR T Cell Functionality. Frontiers in Immunology. 2022;13 doi: 10.3389/fimmu.2022.876339. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Ruella M, et al. Induction of resistance to chimeric antigen receptor T cell therapy by transduction of a single leukemic B cell. Nat Med. 2018;24:1499–1503. doi: 10.1038/s41591-018-0201-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Pfeiffer A, et al. In vivo generation of human CD 19-CAR T cells results in B-cell depletion and signs of cytokine release syndrome. EMBO Mol Med. 2018;10 doi: 10.15252/emmm.201809158. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Noaks E, Peticone C, Kotsopoulou E, Bracewell DG. Enriching leukapheresis improves T cell activation and transduction efficiency during CAR T processing. Mol Ther Methods Clin Dev. 2021;20:675–687. doi: 10.1016/j.omtm.2021.02.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 105.Amirache F, et al. Mystery solved: VSV-G-LVs do not allow efficient gene transfer into unstimulated T cells, B cells, and HSCs because they lack the LDL receptor. Blood. 2014;123:1422–1424. doi: 10.1182/blood-2013-11-540641. [DOI] [PubMed] [Google Scholar]
- 106.Marcus-Sekura C, Richardson JC, Harston RK, Sane N, Sheets RL. Evaluation of the human host range of bovine and porcine viruses that may contaminate bovine serum and porcine trypsin used in the manufacture of biological products. Biologicals. 2011;39:359–369. doi: 10.1016/j.biologicals.2011.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Field AC, et al. Comparison of Lentiviral and Sleeping Beauty Mediated αβ T Cell Receptor Gene Transfer. PLoS One. 2013;8 doi: 10.1371/journal.pone.0068201. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Schambach A, Morgan M, Fehse B. Two cases of T cell lymphoma following Piggybac-mediated CAR T cell therapy. Mol Ther. 2021;29:2631–2633. doi: 10.1016/j.ymthe.2021.08.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.López-Cantillo G, Urueña C, Camacho BA, Ramírez-Segura C. CAR-T Cell Performance: How to Improve Their Persistence? Front Immunol. 2022;13:1–16. doi: 10.3389/fimmu.2022.878209. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 110.Ortíz-Maldonado V, et al. CART19-BE-01: A Multicenter Trial of ARI-0001 Cell Therapy in Patients with CD19+ Relapsed/Refractory Malignancies. Mol Ther. 2021;29:636–644. doi: 10.1016/j.ymthe.2020.09.027. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Yeku OO, Purdon TJ, Koneru M, Spriggs D, Brentjens RJ. Armored CAR T cells enhance antitumor efficacy and overcome the tumor microenvironment. Sci Rep. 2017;7 doi: 10.1038/s41598-017-10940-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 112.Hawkins ER, D’souza RR, Klampatsa A. Armored CAR T-cells: The next chapter in T-cell cancer immunotherapy. Biol Targets Ther. 2021;15:95–105. doi: 10.2147/BTT.S291768. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Tang L, Pan S, Wei X, Xu X, Wei Q. Arming CAR-T cells with cytokines and more: Innovations in the fourth-generation CAR-T development. Mol Ther. 2023;31:3146–3162. doi: 10.1016/j.ymthe.2023.09.021. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Zhang M, et al. Autologous Nanobody-Derived Fratricide-Resistant CD7-CAR T-cell Therapy for Patients with Relapsed and Refractory T-cell Acute Lymphoblastic Leukemia/Lymphoma. Clin Cancer Res. 2022;28:2830–2843. doi: 10.1158/1078-0432.CCR-21-4097. [DOI] [PubMed] [Google Scholar]
- 115.Lu L, Xie M, Yang B, Bin W, Cao J. Enhancing the safety of CAR-T cell therapy: Synthetic genetic switch for spatiotemporal control. Sci Adv. 2024;10:1–16. doi: 10.1126/sciadv.adj6251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Blud D, Rubio-Reyes P, Perret R, Weinkove R. Tuning CAR T-cell therapies for efficacy and reduced toxicity. Semin Hematol. 2024;61:333–344. doi: 10.1053/j.seminhematol.2024.07.003. [DOI] [PubMed] [Google Scholar]
- 117.Mullard A. In vivo CAR T cells move into clinical trials. Nat Rev Drug Discov. 2024;23:727–730. doi: 10.1038/d41573-024-00150-z. [DOI] [PubMed] [Google Scholar]
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