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Ординатура / Хирургия / Библиотека им академика М.И. Перельмана / Книга_5608_Библиотеки_им_академика_М_И_Перельмана.pdf
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The duration of cell culture should be ne-tuned to the clinical dose. However, maintaining CAR-T cells too long in exvivo culture may drive the cells toward an exhausted phenotype, as a shorter culturing time has been shown to be associated with positive clinical outcomes [39]. During manufacturing optimization, Kite shortened the expansion time of Yescarta to 6–8days and still met clinical dose of 2E6 CAR-T cells/kg of body weight [43].
9.3.7 In-Process andRelease Testing
The lack of approved and well-dened standardized testing is a continuing chal­lenge for the growing eld of CAR-T manufacturing despite regulatory require­ments to test for safety, purity, and potency [17]. As many advancements in CAR-T development occur at academic centers [49] which do not often interface with regu­latory agencies [50], it is difcult to centralize the numerous testing protocols and approaches for clinical manufacturing. Post-manufacturing quality control is a par­ticular area of concern as any delays in release testing will translate to delays for CAR-T administration to patients. While validated assays are not typically required during product development, the relatively quick approval that can happen with CAR-T therapies (i.e., Kymriah received marketing approval in the United States after just 106 patients were treated) [50] necessitates a robust testing strategy be identied as quickly as possible.
Over the course of manufacturing, it is critical to quantify and/or qualify cell identity and functionality. Flow cytometry is a standard analytical method in CAR-T manufacturing due to its high specicity and ability to identify many cell types simultaneously. However, ow cytometry is notoriously complex and can be subjec­tive. The choice of ow cytometer should be guided by the number of dyes to be detected in the process, and the lasers and detectors that are appropriate for the number and color of dyes to be used. To reduce variation and improve standardiza­tion, ow cytometry cartridge-based systems that use machine learning to automati­cally identify populations are in development by companies like Accellix. A simple to use and automated ow cytometry assay may be one way to reduce costs and the number of highly trained full-time employees (FTEs) required for manufacturing.
Weil etal. propose applying diagnostic pathology assay standards to cell therapy quality control testing and have suggested detailed lists of acceptability criteria for ow cytometry and hematology blood analyzers including guidelines around instru­ment maintenance, assay controls and sample running, and analysis guidelines [50].
Proving cellular potency is a key requirement for release of CAR-T cells and remains a challenge not encountered in more traditional biopharmaceuticals. Potency assay development can be a particularly challenging part of CAR-T devel­opment due to variability of autologous starting materials, limited sample availabil­ity, lack of reference standards, distinguishing cytotoxic contributions of multiple cell subtypes, and discrepancies between in vivo and invitro behavior [51, 52]. There is a regulatory challenge as well as potency measurements are uniquely
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designed for each product. In the United States, the FDA does not provide recom­mendations regarding specic assay types or acceptance criteria and notes that potency assays may evolve as more knowledge is gained about the product during development. Additionally, the FDA does suggest orthogonal assay development, as a singular assay alone may not fully demonstrate potency [51]. While this allows for considerable exibility for the manufacturer, the lack of dened standards can be challenging. It may also be worthwhile to measure a wide range of product attri­butes as early as possible, and such exploratory studies can help identify which attributes correlate with cellular potency.
The key assumption of the potency assay is that the killing ability of the CAR-T cell product measured invitro is an appropriate proxy of the invivo killing capabili­ties. This assumption is fundamentally complicated by the biological variability of the patient population.
Cytotoxicity is measured by exposing CAR-T cells, known as effector cells, to the target cancer cell, and using target cell viability to determine the killing ability of the effector cells [52]. The effector and target cells can be mixed at different effector to target ratios (E:T). Assays to measure CAR-T cytotoxicity include chro­mium release, luciferase-mediated bioluminescence imaging, ow cytometry, cyto­kine measurement, and impedance [53].
In the chromium release assay, the target cells are labeled with radioactive chro­mium. As the target cells are killed by the CAR-T cells, chromium is released, and the amount of target cells killed is proportional to measured radioactivity. With the luciferase assay, no radioactive materials are required. Target cells are transduced with a luciferase reporter gene and only viable cells produce luciferase. As effector cells kill target cells, bioluminescence decreases since luciferase can no longer be produced [53]. Flow cytometry-based cytotoxicity assays uses a live/dead staining reagent, such as 7-AAD, to measure dead target cells. As suggested previously in this section, ow cytometry is not necessarily a preferred method due to the level of technical expertise required and subjectivity that can inuence data analysis.
Cytokine measurement assays can be used as an indirect measure of proxy potency. One class of cytokine-based functionality assays measure cytokines, such as interferon gamma, released by activated effector cells. Granzyme B and perforin detecting assays can also be used to measure functionality. A noteworthy recent development suggests that interferon gamma does not necessarily correlate with better killing ability of effector cells in liquid tumors [54].
One advantage of the impedance-based assays for cytotoxicity is that the target cells do not need to be labeled. However, this assay class measures impedance due to target cells, thereby requiring the target cell population to be either naturally adherent or made to be adherent. In this assay, the presence of microelectrodes on the bottom of a microtiter well allows for the measurement of impedance due to the target cells. The effector cells are in suspension. As effector cells kill target cells, impedance changes due to the decrease in target cell population [53].
Specialized instruments for the impedance assay are the xCELLigence, Incucyte, and Maestro ZHT platforms. These instruments can be of particular use to pursue to simultaneous development of multiple potency assays over the course of drug
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development as suggested by the FDA [51]. In addition to providing impedance measurements, these instruments can also be used for cytokine secretion assays. The supernatant from the co-culture can be isolated and evaluated for the presence of cytokines. The manufacturer should ensure any instrument and software used in the evaluation of potency is 21 CFR compliant. To date, the Maestro ZHT and xCELLigence platforms meet 21 CFR compliance.
A critical aspect of potency assays to consider is how representative the invitro assay is of the invivo environment. In vivo, CAR-T cells must overcome the tumor microenvironment, which can be characterized by the presence of immuno­suppressive factors and hypoxia. As the CAR-T eld builds upon the success of treating hematological cancers and expands toward treatment of solid tumors, it is important to consider the 3D environment in which the CAR-T needs to demon­strate functionality. Interestingly, a weakened cytotoxic response is observed from CAR-T cells applied to a spheroid of target cells as opposed to a monolayer of target cells at the same E:T ratios [52].
Discussion around types of qualication assays needed for the production and release of GMP lentiviral vectors has been debatable. Qualication assays should demonstrate titer, potency, identity, purity, and safety of the vectors. In developing types of qualication assays, it is important to understand that these assays need to demonstrate that the vector is safely carrying out its intended role for which it is developed for, while exhibiting high efcacy. Characteristics for release can vary, and sometimes more than one type of assay, dual testing, may be required. White etal. summarizes a approaching regulatory considerations for the use of lentiviral vectors in respect to the types of characteristics that should be assessed and how to develop proof-of-concept studies to demonstrate vector attributes which satisfy regulatory requirements.
As described earlier in this chapter, these vectors are derived from pathogenic viruses which pose the risk of RCR/RCL generating during recombination events. Testing for replication-competent lentiviruses and retroviruses safeguards against any undesired recombination events postinfusion that may result in new replication­competent viruses. The utility of this test is debatable, as to date, no CAR-T prod­ucts have reported a positive RCR/RCL result [55]. Previous recommendations from the FDA suggest testing material, including vector supernatant and cell prod­ucts transduced with vector, from multiple stages of product manufacture as RCR may develop at any stage during manufacturing [56]. This can vary depending on the mode of production, whether via transient transfection or via stably transfected producer cell lines, type of vector envelopes used and if the effector CAR-T cells will be administered exvivo or invivo so it is important to remain current on regula­tory recommendations.
Assays to assess for RCR may consist of the vector supernatant being co- cultured with a permissive cell line to allow for amplication of potential RCR.The ampli­ed material can then be assessed for the presence of RCR by utilizing appropriate indicator cell assays such as PERT which measure the activity of reverse transcrip­tase, PCR detecting viral sequences, or the commercially available p24 ELISA­based assay. It is critical to optimize these assays and to develop appropriate
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standards and controls to increase assay specicity, sensitivity, and reproducibility. FDA has recommended two methods: (1) serologic detection of RCR-specic anti­bodies; and (2) analysis of patient peripheral blood mononuclear cells by PCR and RCR-specic DNA sequences. Again the choice of the assay will depend on the type of vector [56].
Assays may assess the properties and biological effects of the promoter sequence, transgene, and gene product delivered for the intended clinical application [57]. For CAR-T cells transformed by viral vectors that integrate the CAR-T in the cell genome, vector copy number (VCN) should be measured as too high of VCN car­ries an increased risk of oncogenesis. The FDA recommends a VCN <5 copies per cell [13]. Digital droplet PCR and real-time quantitative PCR are both feasible options for VCN measurement [58, 59].
CAR-T products must be tested for sterility prior to patient infusion. The stan­dard 14-day sterility test is not feasible when CAR-T products should be adminis­tered as quickly as possible to patients. Therefore, a conditional release may be made after a 3- or 4-day sterility test showing no contamination with the caveat that the full 14-day sterility test will be completed [55]. Undoubtedly, patient safety must remain the highest concern in the production and administration of CAR-T therapies. However, streamlining the testing requirements may get medicines to patients faster and at a lower cost.
9.3.8 T-Cell Cryopreservation
Once the cell expansion step achieves the target number of nucleated cells within the mixture, the nal formulation of T cells starts with two cell washing cycles fol­lowed by a buffer exchange step. The T-cell mixture is rst centrifuged within the same closed chamber used for cell expansion, then the supernatant cell expansion buffer is aspirated out of the chamber and replaced with a formulation buffer made of an extracellular protective agent such as human serum albumin (HSA) and saline solution suitable for intravenous (IV) infusion. The formulation buffer helps retain the cells in a balanced solution in terms of osmolality and pH to suit IV infusion; however, it provides limited protection from ice crystal formation during the freez­ing stage required for the proposed storage conditions for biologics in liquid nitrogen.
Successful cryopreservation limits crystal formation during the freezing stage while keeping the osmolality and pH values within the acceptable limits of IV infu­sion, thus maintaining CAR-T cell phenotype and function while retaining viability with 50–90% recovery post-thaw [55, 60]. Therefore, cryopreservation methods developed for hematopoietic cells are mostly adopted for CAR-T cell manufactur­ing as well even though some recent studies have pointed out to the potential adverse effects of cryopreservation on the vital characteristics of CAR-T cells [25]. These methods generally involve resuspension of cells in isotonic buffers (e.g., saline for IV infusion) containing 10% dimethyl sulfoxide (DMSO) before transferring to
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controlled rate freezer prior to storing in vapor phase liquid nitrogen (VPLN) [61]. Lower concentrations of DMSO can be also used once mixed with extracellular protective agents (e.g., hydroxyethyl starch (HES) solutions, HSA, serum, and plasma), and they can be available commercially as preformulated Cryostor at nal DMSO ratios of 2%, 5%, and 10%. Recent studies have also pointed out to the potential of using pentaisomaltose to help reduce DMSO ratios down to 1% in the nal formulation for effective cryopreservation of CAR-T cells [62]. Considering the adverse effects of DMSO on cell viability, it is clinically regulated to not exceed 1 gr/kg as per European Society of Bone Marrow Transplantation (EBMT) and the American Association of Blood Banks (AABB) [63].
The freezing rate is also another important factor in controlling the formation of ice crystals, so controlled rate freezers are used to tune the temperature prole dur­ing freezing to manipulate the physical state of water molecules. The ne manipula­tion of the physical state of water molecules along with the use of cryopreserving agents can signicantly limit the formation of ice crystals in the nal cell formula­tions during freezing stage thus maintaining cell viability and stability for extended periods of storage. Previous methods suggest freezing CAR-T cell products pas­sively in 80°C deep freezers, but the more recent approaches adopted for GMP manufacturing involve using controlled rate freezers (CRF) to achieve a tempera­ture reduction rate at 1°C per minute to better limit the formation of intracellular ice crystals [64]. Cells can be later transferred to VPLN for storage at temperatures less than 150°C once sufciently hydrated to withstand the sudden reduction in tem­peratures [17, 65]. The main advantage of using CRFs from a quality perspective is the consistency of freeze with the versatility of programming and data traceability for individual products, and new mechanical CRFs (e.g., asymptotes) can overcome the high costs and safety concerns associated with the heavy use of LN2 to run tra­ditional CRFs in closed spaces [17].
Validating the cryopreservation step is a crucial quality requirement for large­scale manufacturing as suboptimal cryopreservation can lead to reduced numbers of viable cells with increased levels impaired cell phenotype and functions [66]. Therefore, stability testing is routinely performed on individual products to ensure preserved viability, expression of CAR transgene, and functional capability (cyto­toxicity or cytokine release data) over time according to established assays. To maintain traceability, cryopreserved products are retrieved from VPLN and trans­ported in temperature logged and validated LN dry containers by contracted couri­ers under principles of good distribution practice (GDP) prior to infusion in patients in hospitals [1, 67].
9.3.9 Formulation Considerations fortheDrug Product
To prepare the nal formulation mixture, the dose to be infused—which correlates to the number of CD3+ transduced T cells as a fraction of the total number of nucle­ated cells in a given volume of the formulation buffer—is calculated. Once the nal
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dose is calculated, the formulator then decides on the type and number of nal drug product container closure systems (i.e., bags) suitable for the chosen dose. The selection of the suitable bags takes into consideration different attributes of the nal drug product according to the Quality Target Product Prole (QTPP) as referred to in the pharmaceutical development quality guidelines Q8(R2). This dose system can be updated over the progress of the clinical trials according to feedbacks from clinicians as they gain more understanding of the cancer treatment regimen. Since T cells can be considered as living drug modalities, the formulation procedure can be a bit different from that of the other non-living drug modalities and must aim to maintain cell metabolism and functionalities instead of physicochemical interac­tions with other excipients [68].
Dosing strategy should take into consideration the pharmacokinetic proles of T cells where they can peak in 1–2weeks after administration and have been shown to persist in some patients for up to 10years [1]. This in turn reects therapeutic efcacy with a potential high drug exposure on the short term and a sustained func­tionality on the long term. Therefore, current dosing practices aim to design clinical trials with patients split in multiple groups of three patients to accommodate a regi­men of incremental dose increases to account for any potential toxicity at each incremental increase [69]. To account for the assumption that dose toxicity would only be modelled with simple scaling and monitoring, the rst group would start with a dose considered safe (i.e., low concentration of TNC/mL), and the following two groups would receive a dose with predetermined incremental increases and monitored for toxicity. This has been shown in a recent Phase I study of anti-CD19 CAR-T cells where patients with relapsed/refractory B-cell non-Hodgkin’s lym­phoma received escalating doses of 25×106 (n=3), 50×106, and 100×106 viable CAR-positive T-cells [70].
Next generations of dosing strategies tended to enhance the potency of the DP by adopting new formulation platforms which enhance T-cell stemness, thus signi­cantly reducing the dose level while maximizing the therapeutic effects of the nal DP [39]. These strategies also aimed to minimize the invitro cell expansion time to signicantly reduce the total vein-to-vein time and reect on a reduced cost of the nal DP [71, 72]. On the other hand, these next-generation approaches also opened the door toward future T-cell immunotherapeutics with improved activity against solid tumors [73].
Considering the variabilities between different dosing strategies, the total num­ber of cells required to meet the target doses of the high concentration group may well exceed one order of magnitude that of the low concentration at a given clinical study [74]. Therefore, the total volumes required to achieve target doses may be split into several containers (bags or vials) prior to administering to patients. This shows that formulation options can be quite limited to meet the QTTP requirements, and design of these dosage forms can consider only few options such as primary container type, ll volume, and cell concentration per dose to cover a target range of 106–108 CAR/TCR T-cells/mL.Table9.3 shows different clinical CAR-T cell thera­pies in different FDA approval stages with the different doses, primary containers, and ll volumes.
246
Table 9.3 Comparison of the primary containers used to ll the allocated doses of marketed T-cell drug products
T cell drug product (Proprietary name) Dose (adults)
Brexucabtagene autoleucel (Tecartus™)
Axicabtagene ciloleucel (Yescarta®)
Tisagenlecleucel (Kymriah®)
Lisocabtagene maraleucel (Breyanzi®)
Ciltacabtagene autoleucel (CARVYKTI ®)
a
CD4 and CD8 components at 1:1 ratio
b
For each CD8 and CD4 component
2×106 per kg body weight, max. 2×10
2×106 per kg body weight, max. 2×10
0.6–6.0×10
0.5–1.1×10
0.5–1.0× 106 viable T-cells per kg body weight up to 1×10
8
8a
8
8
8
Primary container
Cryogenic infusion bag
Cryogenic infusion bag
Cryogenic infusion bag
Cryogenic vials
Cryogenic infusion bag
Fill volume per container
~68mL 1
~68mL 1
10–50mL 1–3
4.6mL 1–4
30 or 70mL 1
A. Adeniran et al.
Number of containers per dose
b
9.3.10 Scale-Up Considerations: Toward
Automated Formulation
Qualication of the successful manufacturing process of T-cell drug products takes into consideration different aspects of the procedures and components involved such as raw materials, ancillary components, equipment, facilities, sampling plans for quality control and analytical assays, standard operating procedures, and trained personnel to consider it as a reproducible and robust manufacturing platform [75]. The quality and quantity of the harvested patient’s peripheral blood mononuclear cells (PBMCs) will be highly amenable to the disease progression and the immune state of their body following any potential chemotherapeutics. Lymphocytopenia (low count of lymphocytes in blood) can be induced in some cancer patients follow­ing chemotherapies and can in turn have negative effects on T-cell proliferation rate, phenotype, and transduction efciency which can eventually affect the dose to be manufactured. Therefore, manufacturing strategies should take into account the fea­sibility of translating leukapheresis material from healthy donors used in formula­tion development to that of the cancer patients with compromised numbers of PBMCs [69].
Considering the complex and lengthy workows involved in the routine manu­facturing of autologous T-cells, developing a strategy to reduce the total costs of goods for the effective delivery of vein-to-vein CAR-T cells becomes a necessity. Since T-cell therapy is highly personalized and specic to each therapeutic area, sourcing patient cells and ensuring their validated transport to GMP manufacturing facilities from and back to patient introduces a lot of challenges with regard to pro­cess automation [76]. The current vein-to-vein procedures involve aseptic lling of
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T-cell formulations into different containers at room temperature within strict time schedules considering the presence of cryopreserving agents. This time constrains drive the chemistry, manufacturing, and controls (CMS) strategy to adopt fully or semi-automated formulation and lling steps where they can be integrated with upstream cell processing steps to reduce contamination and time constrains [77]. One approach to address these needs is to have multiple validated centers to source patient cells and transport them to central GMP manufacturing facilities to process into appropriate dosed containers of drug products [78]. Considering these chal­lenges, big pharma, and biotech companies are building partnerships with universi­ties to facilitate this process and drive development costs down as well [79].
Adopting closed end-to-end workows for sterile production within ISO 14644-1 Class 7 cleanrooms (FDA Class 10,000 equivalent) is far more advantageous than open process workows that require intensive manual steps under ISO 14644-1 Class 5 cleanrooms (FDA Class 100 equivalent). A two-phase process was demon­strated by the National Institute of Health Clinical Center where a modular system involving two manufacturing phases was adopted to provide TCR-T cells to Phase I/II clinical trials. The rst phase involved closed lymphocyte enrichment in culture asks before transferring enriched cells into culture bags for transfection by day 7. The second phase then moved the cells from culture bags into a closed culture appa­ratus to induce up to 1890-fold expansion by day 14 [80]. Fully closed and auto­mated end-to-end process involving an advanced apparatus has shown high yields of CAR-T cells after just 10days of expansion [81]. This in turn reects the amena­bility of both the semi and the fully automated methods to generate sufcient num­bers of T-cells for different therapeutic regimens.
The formulation process starts with the bulk drug substance obtained from the expansion step where the total number of nucleated cells (TNC) is used to calculate the buffer volumes required to perform cell wash/concentration and resuspension/ dilution steps required to mix with DMSO and achieve the target TNC concentra­tion in the nal drug product. In the manual formulation process, the formulator makes the necessary resuspension/dilution steps to obtain the target TNC concen­tration before lling into nal container closure systems (e.g., bags, vials) [5]. On the other hand, the closed systems with automated ll-nish process calculates the cell concentration and dilution steps out of the TNC concentration value of the drug substance to meet the target TNC concentration of the drug product [82]. The drug product volume remaining minus the volume required for quality control is later split into different bags at the validated ll volumes of the bags [68]. Bag material is chosen to maintain a exible and robust structure with minimum leachable chem­icals while enabling gaseous exchange of O2 and CO2 through permeation, and current preference seems to favor bags made of ethylene-vinyl acetate (EVA) over those made from poly vinyl chloride (PVC) for this purpose [83, 84]. These bags are later over-wrapped and placed into metal cassettes to ensure uniform thickness dur­ing freezing for a uniform heat transfer upon freezing and thawing procedures con­sidering the excellent heat conductivity of the metal cassettes [85].
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9.4 Supply Chain andLogistic Model
The overview, provided earlier in this chapter, describes the key process steps required for the development of CAR-T drug products. Though these types of drug products have demonstrated both clinical and therapeutic success harnessing much attention, there can be a series of challenges that need to be addressed to bring CAR-T cell drug products to market. It has been projected that demand will con­tinue to grow, with forecasted patient numbers reaching 40,000 by the year of 2031 [86]. Current supply chain models for CAR-T cell drug products, for instance in the UK, only provide treatment to a nite number of patients in the magnitude of hun­dreds per region/country annually. As patient numbers increase, it is imperative to begin looking ahead and develop an efcient strategy to put in place a supply chain and logistic model that will meet the growing demand. Once the CAR-T cell drug product is formulated, it is then assessed to ensure efcacy, product quality, safety, and potency by Quality Control (QC) and Quality Assurance (QA). Depending on the manufacturing facility, this process can either take place at the site of manufac­turing or outsourced to a QC/QA third-party. Once successfully dispositioned, the drug product is transported back to the clinical hospital where the cell drug product can be infused back into the correct patient for treatment. The processes that need to occur for this to happen need to be optimized, controlled, and regulated in a manner that is right rst time [86].
For autologous CAR-T cell drug products, patient scheduling is key to ensuring timely leukapheresis collection, manufacturing, product release and proper admin­istration of the cell drug product for treatment. It is critical that the correct CAR-T cell drug product be administered to the correct patient, thus highlighting the impor­tance and need for systems that allow for proper sample tracking, documentation, and patient identication. Recent development of software and digital tools, such as cloud-based platforms and application programming interfaces, provides an ef­cient low-risk sample tracking and record keeping platform allowing disparate sys­tems and information provided by key stakeholders to be seamlessly shared and connected while keeping patient identity and data private [86]. Further optimization and investigation are still required in developing automated systems that can ensure chain of custody and identity is maintained throughout the entire CAR-T manufac­turing process from leukapheresis all the way through to infusion of the cell drug product into the correct patient. Shipping logistics need to be continuously evalu­ated including the design of cryo-shippers, temperature control mechanisms, and couriers to provide shipment service to ensure integrity of the product and timely delivery [42].
As the manufacturing process for CAR-T drug products is scaled up, important factors inuencing the CAR-T cell drug product supply chain emerges. The logistic model design for the manufacturing and distribution of cell products is one para­mount factor to consider in determining the outlook of future CAR-T cell therapeu­tics. A simulation study of the centralized versus decentralized supply chain in the UK has shown limited impact of both models on the total cost of treatment at scale;
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however, it concluded that decentralized supply chains (i.e., distributed point of care manufacturing) may prove more efcient for larger geographical regions with some constrained transport facilities [87]. Other factors to consider for scaling up the production of CAR-T cells include allogeneic approaches where abundant cells are retrieved from healthy donors and processed on a larger scale in a centralized manu­facturing facility. However, due to the biological and repeatability concerns, this has yet to be evaluated as a viable solution for the ease of access potential [88]. Designing highly personalized CAR-T cell therapeutics holds the most aspiring potential of this technology, and scaling up this potential without using the alloge­neic approaches, which would arguably limit this potential, remains a challenging topic in the eld [89]. Considering the potential risks associated with such new personalized therapeutic modalities, regulators often require intensive post­marketing evaluation of these therapeutics in patients for extended period of times compared to traditional non-biologic therapeutics [90]. This in turn put some further pressure on the logistics of such cellular-based therapies, and often requires novel models of access to be considered [91]. Though the advancement in this eld is quite substantial with therapies being developed from academic to industrial appli­cation within short periods of time, the scalability and affordability of these novel therapeutics are the driving factors in determining their outlook as key tools in treat­ing critical tumor conditions [92].
9.5 Considerations fortheCAR-T Field
As CAR-T therapies continue to progress in clinical trials, there are key challenges that inhibit widespread adoption (summarized in Table9.4). One key challenge is the cost of autologous CAR-T therapies. The current cost of approved CAR-T thera­pies ranges from $373,000 to 475,000 [9396]. One approach to lowering the cost of CAR-T therapies may be moving from autologous to allogeneic therapies. While allogeneic therapies have their own specic challenges, including needing to estab­lish a master bank that will not induce graft vs host disease, moving toward an “off the shelf” adoptive cellular therapy may reduce costs [97] as a new drug product batch is not needed for every individual patient, greatly reducing the number of processing steps, logistical considerations, release testing required, and wait time for the patient. Second, moving toward closed, automated production may reduce costs of cellular therapies. An 8-day expansion process on the automated and closed CliniMACS Prodigy is reported to cost $25,000, including labor and reagents [44]. Open systems that require frequent intervention by a highly trained labor force are not only more costly than closed systems [98] but also more difcult to scale. It is estimated that producing 10,000 cell therapy doses per year by open systems requires 1700 full time employees across manufacturing, quality assurance, quality control, and logistics [97]. Finally, it has been modeled that viral vector manufactur­ing is the costliest part of CAR-T therapy [98]. Any progress in reducing the cost of viral vector, whether that be through improving vector potency or economizing