Abstract
As of April 2021, there are five commercially available chimeric antigen receptor (CAR) T cell therapies for hematologic malignancies. With the current transition of CAR T cell manufacturing from academia to industry, there is a shift toward Good Manufacturing Practice (GMP)–compliant closed and automated systems to ensure reproducibility and to meet the increased demand for patients with cancer. In this review, we describe current CAR T cell clinical manufacturing models and discuss emerging technologic advances that embrace scaling and production optimization. We summarize measures being used to shorten CAR T cell manufacturing times and highlight regulatory challenges to scaling production for clinical use.
As the demand for CAR T cell cancer therapy increases, several closed and automated production platforms are being deployed, and others are in development. This review provides a critical appraisal of these technologies, which can be leveraged to scale and optimize the production of next-generation CAR T cells.
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Introduction
Chimeric antigen receptor (CAR)–modified T cells have emerged as an efficacious treatment for patients with certain hematologic malignancies (1). Currently, five CAR T cell products are approved for commercial use and available on the U.S. market: three for B-cell leukemia and lymphoma (tisagenlecleucel, axicabtagene ciloleucel, lisocabtagene maraleucel), one for mantle cell lymphoma (brexucabtagene autoleucel), and one for multiple myeloma (idecabtagene vicleucel; refs. 2–8). These therapies involve genetically modifying patient-derived (autologous) peripheral blood T cells to express a CAR directed against antigens present on the surface of targeted tumor cells, such as the CD19 molecule, or, in the case of idecabtagene vicleucel, B-cell maturation antigen (BCMA; refs. 9–14). After antigen recognition, the intracellular signaling domains activate the immune effector and memory functions of the CAR T cells. Once activated, these T cells proliferate, infiltrate tumor sites, secrete cytokines, and release cytolytic granules to eliminate targeted cells in an antigen-dependent manner (1). All approved CAR T cell products are second-generation CARs that incorporate CD28 or CD137 (4–1BB) costimulatory signals, which are essential for eliciting a clinically relevant immune response (9–15). These CAR T cells were able to elicit complete responses (CR) in 32% to 67% of patients with lymphoma and showed better CR rates in patients with leukemia (16–19).
The increasing success of CAR T immunotherapies in relapsed/refractory hematologic malignancies sparked the interest of pharmaceutical companies, and several products targeting a variety of cancers are currently in the pipeline (20). However, many limitations to current CAR T cell manufacturing must be overcome before this modality can be fully integrated into routine clinical practice. First, most CAR T cell trials to date have used autologous peripheral blood and apheresis as the main cell sources for manufacturing (9–18, 21, 22). Despite clinical success, autologous CAR T cells have sometimes suffered manufacturing delays and, in some instances, had difficulty meeting target doses in commercial production (23). Furthermore, most clinical protocols, and all the commercially approved therapies, have relied on viral vectors to deliver CAR transgenes into T cells (9–14, 24–26). Although viral vectors have proven efficient in achieving stable gene transfer, their requisite extensive safety testing adds to the cost and time to develop and manufacture CAR T cell products (27, 28). Finally, many academic institutions prefer the use of gas-permeable bioreactors, bags, or other cell culture devices to stimulate, transduce, and expand T cells to the desired clinical dose. These systems allow for high-density cells to grow without complex manipulations, easy sampling, and the ability to replenish nutrients and/or cytokines without interfering with gas exchange (29, 30). Despite their advantages in the academic setting, such platforms require trained staff and stringent cleanroom environments, making them less desirable for commercial CAR T cell manufacturing intended for a large number of patients.
By 2026, commercial CAR T cell therapies are expected to comprise the largest share of oncology drug sales in pediatric and young adult patients with acute lymphocytic leukemia (ALL; 44%) and adults with diffuse large B-cell lymphoma (46%; ref. 20). As these therapies reach commercial viability, there has also been a shift in both academia and industry to develop fully closed and automated manufacturing platforms with the potential for scaling. While such systems lessen the need for extensive manual handling of the manufactured product, they are expensive to purchase, use costly reagents and disposable culture sets, and may have sole-source providers, which can pose a risk to the supply chain. In addition, each instrument can manufacture only one product at a time; thus, scaling production requires operating parallel instruments.
As demand for CAR T cell therapies increases, particularly when therapies for solid tumors reach commercial stages, developing manufacturing platforms that enable scaling while embracing the principles of “quality by design,” will be crucial. These platforms may help developers achieve robust and reproducible CAR T cell production based on sound manufacturing science and quality risk management. Here, we review current autologous CAR T cell manufacturing processes and associated challenges and suggest ways to overcome these limitations as we move toward scalable CAR T cell production. We also critically appraise current technological shifts and methods that aim to optimize the different steps involved in a CAR T cell manufacturing process.
A Decade of Advances in CAR T Cell Manufacturing
Sources to Obtain Starting Material for Autologous CAR T Cell Therapy
To date, autologous cells from whole blood or leukapheresis remain the most common starting material for CAR T cell products (Fig. 1). Density gradient centrifugation (DGC) is utilized with whole blood to remove red blood cells and granulocytes and to enrich for mononuclear cells. DGC, although effective, is laborious; may require open processing; and may fail to isolate lymphocytes from cell fractions with similar densities, such as monocytes. Apheresis collects the mononuclear cell layer from anticoagulated whole blood, which is rich in mature lymphocytes. For apheresis, patients are connected to a device that moves peripheral blood through a single-use disposable tubing set. Centrifugal force, guided by optical sensors, separates the blood into appropriate density bands for isolation and collection of the desired cell layer. Uncollected blood components are then returned to the patient. Peripheral blood collection is generally easier to schedule and is much less expensive than apheresis. However, apheresis is currently the most widely used method in commercial CAR T cell production protocols, as equipment is widely available (31) and a large cellular yield is usually achieved (32–34). Apheresis is preferable particularly when lymphocyte counts are low, as in patients with relapsed or refractory hematologic malignancies, or when there is a high tumor burden and paucity of T cells, as in many patients with lymphoid malignancies (32, 33).
Quality and Quantity of Starting Materials
Collected T cells must retain the ability to respond to stimulation signals, successfully undergo transduction (vector entry, reverse transcription, and integration), and ultimately function when reinfused. However, the composition of autologous starting material from patients with cancer is highly variable, influenced by patient age and defects due to underlying disease or pretreatment with lymphotoxic agents (35–38). For instance, memory T-cell concentrations in patients with ALL and non-Hodgkin lymphoma decrease with each course of standard-of-care treatment (35). This depletion could result in failure of manufacture or functionality of CAR T cells (35). Predicting whether a patient will have a suboptimal T-cell yield or immunophenotype prior to collection remains challenging.
Cryopreservation of the apheresis product after collection can also influence cell quantity and quality. For instance, Panch and colleagues showed that recovery and viability of peripheral blood mononuclear cells (PBMC) was significantly reduced after freezing and thawing compared with fresh apheresis products (39). Nevertheless, the recovery of mononuclear cells after thawing was sufficient for consistent manufacturing of CAR T cells, without evidence of significant differences in expansion, transduction efficiency, or overall subset composition (39). Freezing may also preferentially deplete cell types that suppressex vivo T-cell growth, such as neutrophils (40) and myeloid-derived suppressor cells (MDSC; refs. 41, 42). In contrast, fresh products have logistical limitations, including a short window in which cell viability is adequate for CAR T cell manufacturing, the need to schedule collections that take into account patient health, and the availability of apheresis and manufacturing slots.
The presence of certain cellular subsets at culture initiation can negatively impact T-cell activation and expansion. The presence of MDSCs and monocytes can hamper the ex vivo activation and expansion of T cells (40, 42–44). Other cellular contaminants such as granulocytes and red blood cells suppress T-cell proliferation (45, 46). Contaminating regulatory T cells can also interfere with the efficacy of the final product after infusion (47). Furthermore, transduction of cells other than T lymphocytes (e.g., malignant blasts) has been observed, creating the risk of engineering CARs into cancer cells, giving rise to CAR-resistant tumor cells (48). Indeed, resistance to CAR therapy was induced by the accidental transduction of a single leukemic B cell during production, causing the CAR gene to bind to the CD19 epitope on the leukemic cells, masking it from being targeted by the CAR T cells (48). As such, the starting material ideally should be purified for robust manufacturing, which may be accomplished using lymphocyte or T-cell enrichment steps. Elutriation of the leukapheresis product (Supplementary Table S1) can enrich for larger numbers of lymphocytes and reduce the number of unwanted cells.
Obtaining Pure and Viable T Cells for Genetic Modification
Another target cell purification method involves enriching for T cells or specific T-cell subsets using antibody-conjugated magnetic beads for positive or negative selection, which may improve product purity and yield and, potentially, clinical responses (Fig. 1). A few centers have focused on enriching T cells based on the expression of CD62L, CD4, and CD8, as these subsets may improve persistence or antitumor activity (49–51). In addition, a larger number of CD27+CD45RO−CD8+ T cells in the starting material correlated with sustained remission in some patients with cancer (52). Defining a distinct ratio of CD4+ and CD8+ T cells in the final product may also prevent toxicities, such as cytokine release syndrome (CRS) and neurotoxicity (53–55). Similarly, the positive selection of CD8+ central memory T cells prior to manufacturing has been shown to reduce the occurrence of CRS following CAR T cell infusion (56). Nevertheless, enrichment reagents not only should be Good Manufacturing Practice (GMP) grade, but also should not elicit undesirable effects, such as premature cell activation, leading to rapid exhaustion or tonic signaling (57–59). Label-free T-cell enrichment, a process that uses T-cell biophysical properties to isolate the cells without prematurely activating them, is one possible solution to this challenge (50).
Whether a selection process is employed or not, a T-cell activation step is required for adequate transduction and expansion (Fig. 1). To achieve this goal, T cells are activated via polyclonal stimulation using soluble anti-CD3 antibodies or immobilized CD3 and CD28 antibodies (22, 60–63). Immobilized anti-CD3 antibodies provide better cross-linking and activation of T cells, while CD28 antibodies activate costimulatory pathways in the target cells. For a long time, CD3 and CD28 antibodies have been immobilized by coating tissue culture flasks, leading to efficient T-cell stimulation; this method, however, provides a relatively small surface area for T-cell adherence, limiting culture size. Paramagnetic beads, such as Dynabeads, can also be coated with these antibodies; in suspension, the coated beads provide appropriate stimulation for much larger T-cell cultures (10, 14, 64–66). Prior to formulating the final cellular products, the beads need to be removed, as they could pose a hazard if infused into the patient. Removal is achieved by disrupting the T-cell/bead aggregates via agitation and then passing the suspension through a strong magnetic field, which retains the beads but allows cells to flow through. Recently, stimulation reagents such as Transact have been employed, which utilizes humanized anti-CD3 and anti-CD28 antibodies conjugated to a colloidal polymeric nanomatrix. The nanomatrix can be washed out in a centrifugation step, prior to final product formulation. Another similar method of T-cell stimulation is using a hydrogel “stimulation matrix” incorporating antibodies (67), which can also be removed by washing after stimulation and expansion. Other approaches, such as soluble activation proteins, lipid microbubbles, dissolvable microspheres, and linked antibodies are being explored as potential options (67–70).
After activation, T cells are genetically engineered to express CAR molecules targeting specific surface antigens (Fig. 1; Table 1). Following transduction, the cells undergo expansion to achieve the necessary clinical dose and, in most cases, are cryopreserved before infusion into patients.
. | Baylor College of Medicine (15, 22, 62) . | Memorial Sloan Kettering Cancer Center (10, 65) . | University of Pennsylvania (9, 11) . | Fred Hutchinson Cancer Research Center (51, 53, 55) . | National Institutes of Health (NIH; refs. (12, 13, 61) . |
---|---|---|---|---|---|
Source of the starting material | PBMC isolation by density gradient | Apheresis product, cell wash by Cytomate cell washer | Apheresis product enriched by mononuclear cell elutriation, density gradient separation | Apheresis product followed by CD4, CD8, or CD62L selection (CliniMACS) | Apheresis product |
Fresh vs. frozen | Either | Frozen | Either | Either | Fresh |
Culture vessels | Flasks, plates, G-Rex | Bags/rocking platform -WAVE bioreactor system | Rocking platform -WAVE bioreactor system | Culture bags | Culture bags |
Activation | Soluble OKT3, plate/flask-bound anti-CD3/28 | CD3/CD28 antibody–coated paramagnetic beads | CD3/CD28 antibody–coated paramagnetic beads | CD3/CD28 antibodies conjugated to paramagnetic beads | Soluble OKT3, anti-CD3/CD28 paramagnetic beads |
Expansion media | Clicks Medium/RPMI1640 | X-Vivo 15 | X-Vivo 15 | RPMI1640 | AIMV medium |
Sera | FBS | Human serum | Human serum | Human serum | Human serum |
Transduction enhancer | RetroNectin | RetroNectin | RetroNectin | Polybrene | RetroNectin |
Spinoculation | No | No | No | Yes | No |
Cytokines | IL2, IL7/15 | IL2 | IL2 | IL2 and feeders | IL2 |
. | Baylor College of Medicine (15, 22, 62) . | Memorial Sloan Kettering Cancer Center (10, 65) . | University of Pennsylvania (9, 11) . | Fred Hutchinson Cancer Research Center (51, 53, 55) . | National Institutes of Health (NIH; refs. (12, 13, 61) . |
---|---|---|---|---|---|
Source of the starting material | PBMC isolation by density gradient | Apheresis product, cell wash by Cytomate cell washer | Apheresis product enriched by mononuclear cell elutriation, density gradient separation | Apheresis product followed by CD4, CD8, or CD62L selection (CliniMACS) | Apheresis product |
Fresh vs. frozen | Either | Frozen | Either | Either | Fresh |
Culture vessels | Flasks, plates, G-Rex | Bags/rocking platform -WAVE bioreactor system | Rocking platform -WAVE bioreactor system | Culture bags | Culture bags |
Activation | Soluble OKT3, plate/flask-bound anti-CD3/28 | CD3/CD28 antibody–coated paramagnetic beads | CD3/CD28 antibody–coated paramagnetic beads | CD3/CD28 antibodies conjugated to paramagnetic beads | Soluble OKT3, anti-CD3/CD28 paramagnetic beads |
Expansion media | Clicks Medium/RPMI1640 | X-Vivo 15 | X-Vivo 15 | RPMI1640 | AIMV medium |
Sera | FBS | Human serum | Human serum | Human serum | Human serum |
Transduction enhancer | RetroNectin | RetroNectin | RetroNectin | Polybrene | RetroNectin |
Spinoculation | No | No | No | Yes | No |
Cytokines | IL2, IL7/15 | IL2 | IL2 | IL2 and feeders | IL2 |
NOTE: When CAR T cells were first explored in clinical trials, primarily single-center studies were conducted in academic settings, with manufacturing relying on open or semiclosed culture systems.
The Evolution of CAR T Cell Manufacturing Platforms
Besides the challenges of obtaining pure and viable starting material, significant batch-to-batch variability exists with autologous cells. Most current manufacturing protocols rely on open, manual processing steps susceptible to operator-introduced errors and contamination, and not easily amenable to scale-out. Moving toward functionally closed and fully automated manufacturing platforms may enable production scalability and reduce potential human error (71). In addition, developing allogeneic CAR T cell products may offer an “off-the-shelf” option once certain barriers are overcome.
Shifting from Open to Functionally Closed Systems
Open systems for T-cell cultures are easily adaptable to CAR T cell expansion. Familiarity and ease of use of T flasks, gas-permeable culture bags, and membrane bioreactors have made such systems an appealing choice for small- to medium-scale manufacturing processes. For example, in the G-Rex bioreactor, T cells are cultured on a gas-permeable membrane located on the bottom of the culture “bottle” (29, 72). This bioreactor can be placed in a regular lab incubator; for media changes and cell harvests, the bioreactor is opened in a biosafety cabinet, to manually pipette fluids and cells in and out under aseptic conditions. Recently, a functionally closed version of this system was developed, allowing for a peristaltic pump to move fluids and cells in and out of the bioreactor (73, 74). A single unit of this bioreactor can provide a 500 cm2 gas-permeable surface area with 5 L media capacity, which is sufficient to expand large numbers of CAR T cells for clinical applications. The Xuri cell expansion system is another adaptable and functionally closed process for CAR T cell manufacturing based on the WAVE bioreactor platform, which also employs a separate cell washing unit (Supplementary Table S1; ref. 75). However, both the G-Rex and the Xuri systems require skilled operators at all stages.
The Quantum hollow fiber bioreactor platform has been used as a functionally closed system for cell expansion (76). Initially designed for adherent cell culture, this bioreactor has a total surface area of 2.1 m2 per disposable cartridge and has been adapted for the expansion of cells in a suspension culture. Further studies are necessary to investigate the Quantum system for genetically modified CAR T cell expansion. Efforts also have been made to automate these culture systems to improve their scalability (Supplementary Table S1). However, automation comes at the cost of flexibility, as minor adjustments in the process often require major changes in both hardware and software.
Replacing Manual Processing with Automation
To achieve commercial-scale production of CAR T cell therapies, end-to end automation is desirable. There are currently two approaches to automation: fully automated closed systems or partially automated systems. Fully automated closed processes eliminate any handling of the product during manufacturing but are restricted to a single product in each production run (77–79). Fully automated systems such as the CliniMACS Prodigy (Miltenyi Biotec) and the Cocoon (Lonza) are capable of isolating T cells (either CD3+ or CD4/CD8 enriched) from an apheresis product and moving them into a functionally closed culture and transduction process (80–82). One major advantage of these systems is the ability to use them in less stringent cleanroom classifications. However, the fill-finish step of the final product is still performed in an ISO7 cleanroom environment and depends on a skilled operator. The price of such all-in-one manufacturing systems and associated reagents may limit scaling out, as many devices are required for manufacturing products in parallel. In addition, operators must gain sufficient troubleshooting skills to circumvent any interruptions during production.
Partially automated manufacturing approaches employ modular, separated processing devices for individual manufacturing steps. Using automated manufacturing stations may enhance capacity and throughput without introducing significant product handling. Although each device can be accessed individually, very precise planning for the execution of each component of the manufacturing chain is required, and the failure of just one device may significantly impact the production workflow. To reduce human error and variability, robotic devices could be employed (83). A robotic arm system that operates in a classified cleanroom environment and allows for the isolation, expansion, harvest, concentration, and cryopreservation of adherent and suspension cells has been used to manufacture human mesenchymal stromal cells (83, 84), which could be adapted for CAR T cells.
Moving from Autologous to Allogeneic Products
To unravel some of the complexity in scaling autologous CAR T cell manufacturing, considerable attempts have been made to develop “universal,” allogeneic CAR T cell products. Because cells from healthy donors have not been exposed to chemotherapies and are free of tumor cells, their quality is expected to be superior to those obtained from patients with cancer. The same techniques as in autologous CAR T cell manufacturing are required for allogeneic T-cell selection, activation, and genetic engineering. However, the resulting CAR T cell product can potentially be scaled up in the expansion step to achieve large cell numbers, allowing many patients to be dosed from a single-cell collection (Fig. 2).
Because allogeneic cell expansion is intended to produce enough cells for multiple final products, it may benefit from larger scale expansion platforms. Large, stirred tank bioreactors may be used to scale up allogeneic cell products, although pitfalls such as shear forces, impeller impact, uneven gas exchange, varying hydrostatic pressures, and the overall nonphysiologic environment may impact final product quality (85). One high-throughput platform addresses the issue of scaling the process to large, stirred tank bioreactors by allowing scaled-down development runs in 100- to 250-mL single-use, disposable bioreactors that can be operated and monitored in parallel under various culture conditions. Such a platform might help determine ideal culture conditions for large-scale bioreactors and enable seamless scaling of production (Supplementary Table S1). The platform can currently expand primary T cells to a density of 5 × 106 cells per mL (86).
Despite these advantages, allogeneic CAR T cells face formidable challenges. Foremost among these is controlling the risk of allo-rejection of infused cells by the recipient immune system and, to a lesser extent, the development of graft-versus-host disease (87). To overcome these issues, gene-editing methods such as CRISPR-Cas9, transcription activator-like effector nucleases (TALEN), or zinc finger nucleases (ZFN) have been used to disrupt the expression of endogenous T-cell receptors and/or MHC on the allogeneic T cells (refs. 88, 89; Fig. 3). While these promising approaches mitigate immunogenic recognition of MHC-deficient CAR T cells by host CD8 T cells, the infused cells become more prone to natural killer–cell killing (87). In addition, the tolerable number of potentially alloreactive CAR T cells infused into the recipient has yet to be established (87). Several allogeneic CAR T cell products have been tested in clinical trials (90–92), with the most recent inducing remission in patients with relapsed and/or refractory B-ALL. As expected, however, allogeneic CAR T cell persistence remains shorter as compared with autologous approaches.
Unlike expansion of an immortalized cell line, scaling up allogeneic CAR T cell products, which are derived from primary cells, requires multiple donors to meet demand and may thus be subject to donor-to-donor variability. Nevertheless, in contrast to patients with cancer, the ability to source material from a large number of healthy donors enables their selection based on T-cell quality and frequency. Allogeneic T cells, just as autologous cells, must be expanded without compromising in vivo function. T-cell exhaustion and culture-associated metabolic changes restrict the number of population doublings, overall culture times, and quantities. Overcultured cells lose in vivo efficacy and show hallmarks of the “exhausted” phenotype. Potential scale-up methods are listed in Supplementary Table S1. These systems are standard in biologics manufacturing, although CAR T cell applications remain novel.
Genetic Modification Strategies for CAR T Cells
Using Viral Vectors for Genetic Modification
Most CAR T cells for clinical trials and all commercial CAR T cells use viral vectors for genetic modification (refs. 4–8; Fig. 3). Lentiviral and gamma-retroviral vectors are the most commonly used, since both permanently integrate the transferred gene and allow for long-term gene expression. Lentiviral vectors are considered safer than gamma-retroviral vectors in terms of their semirandom integration patterns, as gene integration does not preferentially occur in start regions of active genes (93–95). Although the quality and titer of the vector are the major factors determining CAR expression, reagents (poly-l-lysine, protamine sulfate, retroncetin, vectofusin) have been routinely used to facilitate transduction or to colocalize viral particles and cells (60, 96). These reagents are either added to the culture during transduction or applied to coat plates, flasks, or bags. As an alternative or in addition, spinoculation can increase viral transduction efficiency (ref. 55; Table 1), with the caveat that this spinning process may add stress to the T cells.
Split packaging systems are used to generate both vector types, where the transgene encoding the CAR is separate from the plasmids carrying viral genes essential for viral particle formation, reverse transcription, and integration of the gene of interest in the target cell. This system greatly reduces the theoretical risk of generating replication-competent lentivirus (RCL) or retrovirus (RCR) through recombination events in the packaging cell line (97). The standard vector manufacturing protocols for both vectors employ transient transfection of several plasmid DNAs into HEK 293T producer cells. The development of stable producer cell lines for lentivectors pseudotyped with VSV-G is challenging, owing to the cytotoxicity associated with this envelope, which is not the case with other vector envelopes. While several lentiviral packaging cell lines have been described, none is commercially available—an unmet need in the vector production space (98–101).
Adopting Nonviral Gene Delivery Systems
Well-designed vectors are required for clinical-grade CAR T cell manufacturing, and therefore, manufacturing vectors at scale for a reasonable price is a priority. Currently, adapting HEK 293T to suspension culture conditions and plasmid transfections using the stable cationic polymer polyethyleneimine (PEI) is the method of choice to achieve satisfactory numbers of vector-producing cells and intact, packaged vector particles secreted into the supernatant. Floating HEK 293T cells, in theory, can support large-scale manufacturing in suitable bioreactors. However, producer cells can be used only once, and each new transfection requires a new batch of producer cells. To circumvent these challenges, nonviral vectors and DNA transfections, such as the use of Sleeping Beauty or piggyBac transposons to genetically modify patient cells, have been investigated in clinical trials (refs. 102–105; Fig. 3). Disadvantages of these systems include process complexity, need for significant method optimization to overcome low efficiency of CAR expression, need for cell sorting postengineering (Supplementary Table S1), and significant cell loss during gene delivery (106). Furthermore, in a recent phase I trial, lymphoma arising from piggyBac-transfected CAR T cells has been reported in two of nine patients with relapsed or refractory B-cell malignancies who achieved complete remission after product infusion. The analysis of the lymphoma samples showed an increase in the transgene copy numbers but with no integration in typical oncogenes (107, 108). These findings reiterate the need for better controlled and precise gene transfer modalities. Using CRISPR-Cas system to deliver the CAR constructs through homology-directed repair (HDR) might be an alternative option (Fig. 3), which also requires existing challenges to be adequately addressed.
Some investigators are genetically reprogramming T cells in vivo to eliminate the need for ex vivo cell manufacturing altogether. Gene-carrier nanoparticles can be engineered to transfect T cells and lead to high-efficiency CAR expression and relatively low target cell toxicity (109, 110). Preclinical studies have shown that CD8+ CAR T cells were successfully generated in mice through the injection of nanoparticles or lentiviral vectors encoding a CAR and targeting CD8+ cells (111–113). Selective in vivo transduction of CD4+ cells with CARs was also achieved using a lentiviral vector (113). However, systemic administration of these systems has the potential to cause genomic toxicity, warranting further investigation.
Addressing Challenges to Genome Editing
Despite the promising applications for genome editing in cancer immunotherapy, there are multiple challenges with respect to the technology itself and its clinical application, such as the efficacy of targeted delivery in the cell type of interest, establishing cell-based assays to provide functional confirmation of gene editing, or investigating and mitigating safety concerns such as immunogenicity, tumorigenicity, and off-target effects (114). Especially for CRISPR-Cas technology, there is extensive evidence on potential off-target effects when introducing mutations in undesired genomic loci (115) and induction of host immune responses upon administration (116). Off-target effects with CRISPR-Cas are initiated when the Cas/sgRNA complex binds at sites distal from the protospacer adjacent motif (PAM) target DNA-binding site and bear the risk of disrupting essential gene functions, inducing genome instability or epigenetic mutations.
When manufacturing genetically modified cell-based products, a general problem is the relatively low efficiency of stable gene transfer. For example, when applying the CRISPR-Cas9 platform to introduce the CAR transgene in T cells, this approach is still limited by technologic constraints mainly related to low efficiencies for knock-in of large gene segments (117). Moreover, besides the need for biodistribution studies and integration-site analysis, regulatory expectations also include establishing reliable off-target screening strategies with a robust validation of predetermined target sites to evaluate the extent of nuclease-induced off-target mutagenesis. Different approaches should be implemented for unbiased genome-wide screening, in silico analyses, and “worst-case scenario” assays (e.g., by applying a very high nuclease concentration) characterized by a high assay sensitivity.
Genome editing may offer opportunities to improve CAR T cell manufacturing, as it reduces supply chain constraints (e.g., availability of raw materials and decrease process complexity) and financial constraints associated with the use of viral vectors if CRISPR-mediated nonviral site-specific gene integration is used. Applying CRISPR-Cas with nonviral delivery of template DNA to eliminate large genes (118) or for orthotopic placement of transgenic constructs (119) could also reduce the potential of off-target effects. The emergence of new tools such as the fusion between reverse transcriptase and catalytically impaired Cas9 endonuclease might enable the delivery of gene cassettes without the need for double-strand breaks (DSB), which also induces much lower off-target editing (120). However, the current iterations of such tools can only deliver short genetic sequences.
Efforts to Shorten CAR T Cell Manufacturing Time
Shortening CAR T cell manufacturing time will enable patients with aggressive disease to receive treatment sooner. Product manufacturing time can be divided into the cell processing and expansion stage and the batch release (quality control, or QC) stage. Recent efforts have focused on reducing the duration of the CAR T cell expansion step, which, in turn, reduces vein-to-vein manufacturing time. Murine studies revealed that CAR T cells cultured for only 3 days exhibited superior antitumor activity at a much lower dose (6-fold lower) compared with CAR T cells harvested after a longer culture period (121). In another study, rhesus macaque CAR T cells underwent a 4-day expansion in a G-Rex system after a single rapid transduction step, shortening manufacturing to 9 days (122). Similarly, Knochelmann and colleagues showed in a tumor mouse model that transduced Th17 lymphocytes, a CD4 T-cell subset that secretes cytokines such as IL6, displayed superior antitumor activity after a 4-day expansion over cells expanded for 7 or 14 days (123).
For a phase I clinical trial, researchers manufactured an autologous, bispecific CD19/CD22-targeted CAR T cell therapy using the FasT CAR platform, reducing cell culture time to less than 24 hours (124, 125). Ten adolescent and adult patients with CD19+ relapsed/refractory B-ALL received the CD19 FasT CAR T cells. On day 15 after cell infusion, 10/10 (100%) patients achieved CR, with only 1 patient experiencing CRS (125). Earlier efforts to treat refractory CD19+ tumor patients with CAR T cells generated using the Sleeping Beauty transposon system shorten the ex vivo culture of T cells to 14 days (126). Researchers at MD Anderson Cancer Center (Houston, TX) in collaboration with Ziopharm reported that six patients with active CD19+ lymphoid malignancy were infused with CAR T cells manufactured using this system. Median CAR expression upon infusion was 86% (range 19%–97%), resulting in antitumor effects and no clinically significant CRS. Interestingly, the same team initiated a clinical trial of CD19-directed CAR T cells for patients after allogeneic stem cell transplant utilizing a “rapid personalized manufacturing process.” T cells engineered using Sleeping Beauty were infused less than 2 days after electroporation, suggesting that the engineered T cells were infused without full characterization (NCT03579888). Efforts to achieve same-day product manufacturing have been reported for adenoviral vector Ad5f35-engineered CAR monocytes using the CAR to target tumors overexpressing HER2 (127). A phase I clinical trial to investigate this novel therapeutic approach in 18 subjects with locally advanced (unresectable) or metastatic HER2+ solid tumors has commenced (NCT04660929; ref. 128). Despite these efforts, the increased potency of rapidly generated CAR T cells will need to be balanced with their in vivo tolerability and long-term function.
Trends in QC of the Final CAR T Cell Product
While the overall length of cell culture may be reduced, the time for QC testing remains largely fixed. QC tests usually include the verification of sterility, identity, specificity, and potency for each product. Of these parameters, the sterility tests require the most time. Currently, the compendial product sterility tests take 14 days, and the fungal assay can take up to 42 days. Anaerobic- and aerobic-enriched media testing that takes 7 days is recognized by the European Pharmacopoeia as an alternative “rapid” test. In 2011, the FDA published a study that acknowledged rapid sterility tests as an alternative (129). However, the FDA does not formally recognize rapid tests. Therefore, if alternative rapid testing is performed for product release, supportive data should be submitted with validation reports. The Cell and Gene Therapy Catapult is working with industry partners to produce 1-hour sterility testing (130). Such an advancement, if accepted by regulatory agencies, would significantly accelerate product release and improve overall scalability. qPCR assays for the detection of Mycoplasma are now standard and reduce assay time from 28 days to 1 to 2 days (131).
Most manufacturers characterize the final CAR T cell product by flow cytometry, with many characterization panels currently in use. Several ranges/measures exist to determine the total T-cell number via CD3 expression; to characterize the CD4+ and CD8+ subsets within this population (54); to detect transduced and not transduced cells; and to identify any contaminating cell subsets, such as monocytes/macrophages (CD14; ref. 44). Qualification and validation of the assay are required prior to obtaining a Biologics License Application (BLA), which is needed in the United States for commercial manufacturing. Currently, each manufacturer specifies their own potency assay and develops, in agreement with the regulatory agencies, specific parameters appropriate for the clinical-grade product they manufacture. To date, there is no consensus on a potency assay or platform that can accurately predict clinical response to CAR T cell therapy. Ideal potency assays should be validated to ensure their reproducibility, be able to quantify tumor cell lysis mediated by CAR T cells, and provide results in real time or at least within a few days for prompt product release. An automated QC testing setup that produces real-time measurements of cell binding and killing allowing for continuous product quality monitoring during the manufacturing process may prove advantageous (132). Overall, comparing currently available potency assays in terms of treatment outcomes may aid in determining which assay best correlates with in vivo function of the manufactured product (133).
Other Considerations for Scaling CAR T Cell Production
As discussed earlier, considerable variability can hinder CAR T cell manufacturing. While variable gene expression is unavoidable in current CAR T cell generation protocols owing to retro- and lentiviral vector integration, variabilities in other manufacturing parameters can be better controlled by adopting “Quality by Design” (QBD) principles (Fig. 4). QBD principles evaluate theoretical variabilities in a process and assess risk to detect which critical parameters need to be kept under tight control.
One important consideration is the availability and constant supply of well-characterized clinical-grade reagents when transitioning from the research phase to the clinical production phase (134). These reagents add to the overall costs but are necessary to ensure the quality of the administered CAR T cell products. Production and QC staff properly trained to work under GMP conditions is another key element in product manufacture. There is consensus among academic GMP facilities as well as industry that identifying, hiring, and retaining qualified staff is challenging, creating a major barrier to successful GMP operations, particularly in the cell and gene therapy field (135). Strategies to ensure proper training and retention of GMP staff should be made a priority and should tackle issues such as competitive monetary compensations and cross-training for multiple projects and tasks. Existing initiatives for training a GMP workforce need to be expanded, harmonized, and accredited by the respective educational accreditation bodies. This need has also been recognized by the California Institute for Regenerative Medicine (CIRM), which offers educational grants to train students on cell therapy manufacturing. Such programs should optimally include theoretical and practical technical training in actual GMP facilities. Finally, a strictly controlled environment, including cleanroom suites and storage, is vital. As these therapies move beyond phase I trials, meeting these requirements becomes more costly and time-consuming (136, 137).
Achieving compliance with regulations can be another bottleneck to CAR T cell production. In the United States, the FDA requires the demonstration of safety and substantial evidence of efficacy from clinical trials. Data from these trials are then used to apply for a BLA. Full implementation of GMP manufacturing rules and regulations in the United States is less cumbersome for products manufactured at academic centers for phase I trials (138). For phase II or III clinical trials, however, the FDA more tightly regulates the process. Furthermore, the manufacturing process must be validated by the end of pivotal clinical trials supporting licensure and release assays (138).
A similar clinical trial phase structure exists in the European Union, although some GMP regulations are stricter in Europe (139, 140). Full GMP compliance is required for phase I clinical trials, which could be cumbersome for academic developments (141). Also, gene-modified cellular products are subjected to greater regulatory scrutiny in the European Union than non–gene-modified therapies. A U.S. company that seeks to manufacture CAR T cells in the United States and European Union must comply with both sets of regulations and work with strict oversight from both the FDA and the European Medicines Agency (EMA) to meet respective manufacturing standards (140, 142, 143). This can lead to rather large regulatory discrepancies, particularly when raw material qualification is involved, since import and export of these materials are also strictly regulated. Therefore, developers have been keen on setting up production facilities in the respective geographic areas to fully comply with the local regulatory landscape.
Decentralized manufacturing in multiple small facilities is appealing, but new models of production scaling that rely on this approach remain a challenge to regulate (144–146). Recently, the FDA discussed decentralized manufacturing (147), which entails product manufacturing according to the same protocol at different sites and analyzing pooled safety and efficacy data. If the benefit–risk assessment is favorable, separate biologics licenses could be issued to individual sites to allow independent manufacturing at each site. This approach would facilitate the development of local product manufacturing and distribution to more patients. The FDA has noted that one of the major issues in the implementation of this model is having a sufficient understanding of the critical quality attributes of the product, so that the consistency of its manufacture can be assured from site to site. Although this may require additional time for upfront validation, reduction in costs and in lead-time delays could eventually be realized through efficiency of logistics and the overall production process.
Conclusion
All commercialized CAR T cell products are currently based on autologous T cells; however, autologous therapies manufactured using open methods and relying on manual cell handling have a number of limitations, including variability in the starting material, difficulty in scalability to meet market demands, batch-to-batch variation, and potential human error and contamination leading to batch failures. Because the traditional scale-up model of drug manufacturing can at least be partially applied to allogeneic CAR T cell manufacturing, it may offer a theoretical scaling advantage over the autologous model. In addition, automating the manufacturing process may improve process reproducibility and robustness, and potentially lower costs when efficiently employed in large-scale production.
None of the approaches discussed here are mutually exclusive with the current model of autologous CAR T cell manufacturing. To increase the accessibility of autologous CAR T cell products, some therapies in development are transitioning toward decentralized manufacturing. Products developed in smaller academic centers equipped with GMP laboratories could be used to treat patients at regional medical centers. In such a model, automated platforms could simplify the workflow, increase process robustness, enable scalability, and reduce costs while maintaining or even improving the efficacy of the resulting CAR T cell products. Allogeneic products, however, may become the model of choice for products manufactured at scale in larger centralized commercial facilities once the limitations discussed above can be overcome.
Finally, novel approaches to shorten the manufacturing process are being developed, such as nonviral vector approaches relying on electroporation of primary cells. However, incorporating new technologies with scaling in mind should involve careful planning during early stages of development as well as careful monitoring of patients for any unexpected serious adverse reactions once the CAR T cell product is infused. In summary, the manufacturing achievements reviewed here are a step forward toward a harmonized production protocol for CAR T cell therapies. Broadly accepted levels of standardization for CAR T cell manufacturing will enable a more rapid assessment by regulatory authorities and facilitate commercialization to meet increased demand for these therapies.
Authors' Disclosures
S.A. Feldman reports a patent for US201461935833P issued to KITE Pharma, a patent for US20200254018A1 pending, and a patent for EP2828290B1 issued. H.E. Heslop reports grants and personal fees from Tessa Therapeutics, grants from Kuur Therapeutics, NCI, AACR-SU2C, Leukemia & Lymphoma Society, and NIH: National Heart, Lung, and Blood Institute, and personal fees from Kiadis during the conduct of the study, as well as other support from Marker Therapeutics and Allovir outside the submitted work. B.G. Till reports other support from Mustang Bio outside the submitted work, as well as a patent for U.S. patent #10,875,927 issued and with royalties paid from Mustang Bio. B. Savoldo reports grants and other support from Tessa Theraputics and grants from bluebirdbio, NIH, Bellicum, and Cell Medica outside the submitted work. No disclosures were reported by the other authors.
Acknowledgments
The authors thank David F. Stroncek (NIH) for his helpful comments on an earlier draft of the manuscript. They thank Catherine Gillespie (Baylor College of Medicine, Houston, TX) for her assistance in editing the manuscript. H.E. Heslop is supported by the NCI (P50CA126752), the Leukemia & Lymphoma Society, and a Stand Up To Cancer Dream Team Research Grant (grant number: SU2C-AACR-DT-29–19). The indicated SU2C research grant is administered by the American Association for Cancer Research, the scientific partner of SU2C.