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Cancer stem cells 363
Adipocytes
Endothelial
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patients with constitutive PI3K have a favorable prognosis, which is proposed to be due to PI3K driving LSCs into the S phase of the cell cycle, thus making them more sensitive to chemotherapy.
Targeting LSC dormancy
Chemoresistance is often attributed to CSCs, which due to their largely quiescent nature can evade the effects of chemo­therapy agents that preferentially target actively cycling cells. Breaking the dormancy of LSCs therefore represents a rational approach to eliminate the LSC population. In murine models, AML cells residing in the endosteal region, where quiescent, chemo- resistant LSCs preferentially home to, have been shown to enter the cell cycle upon treatment with the mobilizing agent granulocyte colony- stimulating factor (GCSF). Furthermore, addition of GCSF to cytarabine resulted in enhanced cell death and elimination of LSCs, as assayed by limiting dilution analysis. These findings are sup­ported by clinical data from newly diagnosed patients with AML who received GCSF in conjunction with induction chemotherapy, showing improved outcomes in terms of disease- free survival, although this benefit did not extend to those with poor- risk disease, and no overall survival advantage
was noted. From a mechanistic point of view, it is unclear whether the enhanced chemosensitivity observed with GCSF relates solely to its effect on cell cycle progression, or whether there are other mechanisms involved, such as displacement of LSCs from the niche and potential synergistic interaction with chemotherapy.
The use of arsenic trioxide, which is licensed for the treat­ment of PML/RARa acute promyelocytic leukemia, has also been suggested as an alternative intervention to enhance the cycling of LSCs and, consequently, their elimination. In a CML mouse model, loss of PML led to LSC exhaustion and diminished repopulating ability. Furthermore, PML inhibi­tion with arsenic trioxide in both murine and human CML­LSC resulted in cell cycle induction, which was more pronounced compared to normal HSC, and was associated with enhanced chemosensitivity.
Targeting the CSC niche
The bone marrow niche represents a complex and dynamic microenvironment that provides a host of signaling cues that are crucial for determining the fate decision of normal HSCs. As with HSCs, niche- derived signals are vital for maintaining LSCs (see Figure24.2). Evidence from several murine models
Mesenchymal
Sympathetic neurons
Osteoclast
stroma cells
?
?
cells
Bone
Osteoblast
?
LSC
?
Blood vessel
?
Endosteal niche
Figure24.2 Schematic representation of the interplay between the niche and leukemic cells. The bone marrow (BM) niche consists of several cellular components including mesenchymal stroma cells, osteoblasts, endothelial cells, adipocytes, and sympathetic neurons. The leukemia/microenvironment interaction is a dynamic, bidirectional process whereby leukemic cells receive vital cues from the niche that influences their behavior. Conversely, leukemic cells hijack and remodel the BM niche into a malignant environment that is more permissive to the disease at the expense of normal hematopoiesis. LSC, leukemic stem cells.
Vascular niche
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even indicates that alterations in components of the bone marrow microenvironment may be sufficient to disrupt nor­mal hematopoiesis and induce neoplastic transformation. In an elegant study by the Scadden group, selective deletion of the miRNA processing endonuclease Dicer 1in osteoprogeni­tors, resulting in impaired osteoblastic differentiation, induced profound hematopoietic defects mimicking myelodysplasia, with subsequent transformation to myeloid sarcoma in some mice. Intriguingly, the same phenotype was observed when wild- type hematopoietic cells were transplanted into mice with mutant niche, while the effect was reversed upon trans­plantation of hematopoietic cells from mutant mice into a wild- type environment. This lends further support to the concept of niche- driven oncogenesis, whereby microenviron­mental aberrations constitute the primary pathogenic event that drives tumorigenesis, which consequently facilitates the acquisition of oncogenic hits in the hematopoietic compart­ment. Similarly, constitutive activation of β- catenin in murine osteoblasts has been shown to alter the differentiation poten­tial of lymphoid and myeloid progenitors, leading to a differ­entiation block and the emergence of AML through upregulation of the Notch- ligand Jagged 1in osteoblasts and subsequent increase of Notch signaling in leukemia- initiating HSCs. However, it remains to be determined whether this mechanism of niche- driven oncogenesis occurs in human hematological malignancies.
The relationship between the niche and leukemic cells is clearly not a one- way street and, just as the niche can dictate tumor behavior, so too can leukemic cells reshape and manipulate their microenvironment in their favor at the expense of normal hematopoiesis. For example, in a mouse model of BCR- ABL CML, reduced expression of CXCL12was observed in the bone marrow stroma cells secondary to secreted factors by leukemic cells, leading to reduced engraft­ment of normal HSCs, but not of BCR- ABL- positive HSCs. Similarly, in a murine model of myeloproliferative neoplasm (MPN), neoplastic myeloid cells were shown to remodel the endosteal niche by promoting the differentiation of mesen­chymal stroma cells toward the osteoblastic lineage. Notably, the expanded osteoblasts were functionally altered, with compromised ability to support normal HSCs but not LSCs. AML-
induced alterations in endothelial cells resulting in increased vascular permeability and sympathetic neuropathy of the niche in MPN are among other reported examples of neoplasia- induced remodeling of the bone marrow niche.
Given the important role of the niche in sustaining tumor development, targeting the niche has been explored as a potential therapeutic strategy. One approach has been to dis­rupt homing of LSCs by targeting the CXCL12/CXC4 axis in leukemia. Pretreatment of AML cells with CXCR4 antibod­ies has been shown to impair their homing into the bone marrow and spleen of transplanted mice. Conversely, mice already engrafted with AML and treated with CXCR4­neutralizing antibodies had a marked reduction in their
AML burden, but no significant difference in the level of engraftment was observed in mice engrafted with cord blood mononuclear cells, indicating that AML cells are more CXCR4 dependent. Moreover, using a different small molecule CXCL12/CXCR4inhibitor, CXCR4inhibition abrogated the protection conferred by the stroma, resulting in increased sensitivity to chemotherapy. Of note is that higher expression of CXCR4 has been reported in patients with AML, and CXCR4 expression level appeared to be an independent prognostic indicator across a heterogeneous group of AML patients with varying mutational backgrounds. Given the role of CXCR4in homing, it is not unreasonable to speculate that the negative impact on outcome may, at least in part, be due to enhanced CXCR4-
mediated retention of LSCs.
Disrupting the LSC–niche interaction can also be achieved by targeting the integrin very late antigen 4 (VLA4), which is known for its important role in homing and retention of HSCs in the niche. VLA- 4 binds to the fibronectin compo­nent of the extracellular matrix as well as the vascular cell adhesion molecular- 1 (VCAM- 1), expressed by bone mar­row stromal and endothelial cells, and inhibiting the VLA- 4/ VCAM- 1interaction induces mobilization of hematopoietic/ stem progenitor cells. In AML, interaction between VLA- 4 on leukemic cells and fibronectin has been shown to enhance their survival and reduce their chemosensitivity through activation of PI- 3k/AKT/BCL2 signaling. Combination ther­apy with the anti- VLA4monoclonal antibody Natalizumab (NZM) and cytarabine resulted in increased AML apoptosis, and mice treated with single- agent NZM had a significant reduction in their AML burden.
Alternative therapeutic approaches include targeting the adhesion molecule CD44. A monoclonal antibody directed against CD44 resulted in a significant reduction of leukemic burden in mice transplanted with AML. This effect was mediated not only by impeding LSC homing, but also by altering the fate of LSCs. A major drawback, however, is that CD44 is also expressed in normal HSCs, and ligation of CD44has been shown to affect the migratory behavior of normal HSCs.
Targeting epigenetic modifiers
The use of epigenetic modulating therapies as a means to tar­get CSCs in hematological malignancies has been mainly explored in AML, in which mutations in epigenetic modifiers are a frequent event, particularly in MLL- rearranged AML, which is primarily driven by epigenetic dysregulation.
The DNA methyltransferase inhibitors, azacytidine and decitabine, are currently the only two approved epigenetic targeted therapies in AML. The effect of azacitidine on AML LSCs has been investigated by Craddock and colleagues, who found a substantial reduction in the LSC pool size, although it was never eradicated, even in patients who achieved complete morphological remission.
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Histone methyltransferase inhibitors are another class of epigenetic therapies that have shown demonstrable effect against LSCs. Key among these is 3- Deazaneplanocin A (DZNep), which targets several components of the Polycomb repressor complex 2, including EZH2. In a study by Zhou and colleagues, DZNep demonstrated a significant anti­leukemic effect, including in LSC- enriched populations, with no observed impact on normal HSCs in colony- forming assays. However, more recently, loss of EZH2 has been reported to correlate with poor prognosis and chemoresist­ance in AML, and treatment of AML cells with DZNeP was found to induce resistance to cytarabine. In contrast to AML, overexpression of EZH2has been reported in CML LSCs, and inactivation of EZH2, in a conditional mouse model and by clustered regularly interspaced short palindromic repeats (CRISPR)/Cas9- mediated gene editing, has been shown to block disease initiation and impair CML LSC function. Similar findings were reported by Scott etal., who showed a synergistic impact on the CML LSC compartment when EZH2 inhibitors were used in conjunction with tyrosine kinase inhibitors.
In addition to EZH2, the histone 3 lysine 79 (H3K79) methyltransferase Dot1l has emerged as a critical regulator of LSC activity. In MLL- AF9- induced leukemia, Dot1l has been shown to play an important role in promoting LSC self­renewal, and DOT1l inhibitors are currently being investi­gated in a number of clinical trials. Other histone modifiers with the potential to modulate LSC activity in AML include the histone demethylases KDM2b/JHDM1b and LSD1/ KMD1A.
Furthermore, anti- leukemic effect against AML LSC has been shown with the histone deacetylase inhibitor AR- 42, which causes inactivation of NF- κB, as well as inhibitors against the chromatin reader Bromodomain- containing pro­tein 4 (BRD4).
Other CSC- targeted therapies
LSCs can be distinguished from normal HSCs by virtue of their distinct metabolic traits. In a study of chronic- phase CML, the stem cell- enriched population exhibited an increase in oxidative metabolism compared to normal HSCs, and was more susceptible to oxidative phosphorylation inhi­bition when treated with combination of a tyrosine kinase inhibitor and tigecycline, an antibiotic that inhibits mito­chondrial protein translation. Reliance on oxidative phos­phorylation rather than glycolysis has also been reported in AML, where LSCs have been shown to have lower levels of endogenous reactive oxygen species (ROS). Furthermore, BCL- 2 was upregulated in ROS- low LSCs, which when inhibited resulted in elimination of LSC both in vitro and in vivo. Similarly, in AML with isocitrate dehydrogenase (IDH) mutations, an RNA interference screen revealed syn­thetic lethality between IDH1 and BCL- 2. Treatment with
BCL- 2inhibitor- induced apoptosis in AML cells and affected the survival of LSCs in xenotransplants through a mecha­nism involving 2- hydroxybutarate- mediated inhibition of cytochrome c oxidase activity in the mitochondrial electron transport chain.
The role of hypoxia in maintaining normal HSC func­tions, especially self- renewal, is well recognized. Similarly, hypoxia is important for the maintenance of LSCs. Wang et al. reported that in patients with AML, HIF1a and its target GLUT1were selectively overexpressed in the LSC fraction. Furthermore, inhibition of HIF- 1α by echinomy­cin induced apoptosis, which was more pronounced in the LSC fraction compared to the AML bulk population. The selective elimination of the LSC population by HIF inhibi­tion was also demonstrated invivo by serial transplanta­tion experiments, where mice injected with residual leukemic cells from echinomycin- treated mice failed to develop leukemia, indicating an absence of LSCs in the residual leukemic population. Similar effects of HIF- 1α inhibition have been reported in CML LSCs. It is worthy of note, however, that the inhibition of HIF by echinomycin is not restricted to HIF- 1α, and that the effect of echino­mycin may, at least in part, be mediated by suppression of HIF- 2α, which has been demonstrated to protect both nor­mal HSC and AML cells from endoplasmic stress- induced apoptosis.
Conclusion
The mainstay treatment in patients with hematological malignancies remains traditional therapies that target the tumor bulk but leave CSCs largely untouched, potentially contributing to chemoresistance and disease relapse. In recent years, tremendous advances have been made in our understanding of CSC biology, which paved the way for the development of a number of therapeutic agents that target CSCs. While promising, several considerations should be taken into account before CSC­incorporated into routine clinical practice.
The timing of administration of a CSC- directed therapy is likely to influence its efficacy. Ideally, a CSC- targeted therapy should be given before standard chemotherapy when CSCs are still in a naïve state, as the selective pressure exerted by chemotherapy can inadvertently lead to the acquisition of further mutations in CSCs, making them more complex and potentially drug resistant. However, this may not be prag­matic in highly proliferative malignancies such as AML, and the concurrent use of CSC- targeted therapies and “debulk­ing” chemotherapy would therefore be more appropriate. It has also been proposed to use CSC- targeted treatment in the post- remission setting, either as part of the consolidation regimen or as long- term maintenance strategy in order to eradicate residual CSCs.
targeted therapies can be
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Additionally, caution should be exercised in applying the same clinical endpoints used to measure the efficacy of standard cancer therapies, as they could potentially result in significant underestimates of ultimate clinical benefit, lead­ing to erroneous conclusions about their efficacy. To make an accurate assessment of response rates, long follow- up periods are required; however, in the short term, clinical endpoints such as progression- free and overall survival may be more meaningful.
Validation of CSC- targeted therapies in the invivo setting is also paramount, as stemness is a functional definition. This would require having reliable methods to isolate CSCs, which poses an additional challenge, as CSCs can be pheno­typically unstable. Finally, a rational selection of combina­tion therapies is required in order to maximize efficacy and reduce the emergence of resistance.
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specific demethylase, is required for initiation and
Singh, S. et al. (2017). Loss of the
42 against leukemia stem cells:
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initiating cells require polycomb group protein EZH2.
regulates TXNIP, increases ROS produc-
Other CSC- targeted therapies
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Isocitrate dehydrogenase 1 and 2mutations induce BCL­ence in acute myeloid leukemia. Nat. Med. 21: 178–184.
Kuntz, E.M., Baquero, P., Michie, A.M. et al. (2017). Targeting mito-
chondrial oxidative phosphorylation eradicates therapy­chronic myeloid leukemia stem cells. Nat. Med. 23: 1234–1240.
Lagadinou, E.D., Sach, A., Callahan, K. etal. (2013). BCL-
targets oxidative phosphorylation and selectively eradicates quies­cent human leukemia stem cells. Cell Stem Cell 12: 329–341.
Pierre, K., Lopez- Onieva, L., Foster, K. etal. (2013). HIF- 2a
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cer stem cells in hematological malignancies. Cell Stem Cell 8: 399–411.
2 depend-
resistant
2inhibition
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Pollyea, D.A. and Jordan, C.T. (2017). Therapeutic targeting of acute
myeloid leukemia stem cells. Blood 129: 1627–1635.
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Chapter25
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CAR- T cell therapy
Jude Franklin1, Prateek Pophali2, Zachary Jackson1, David Wald1, andDavidAvigan
1
Department of Pathology, Case Western Reserve University, Cleveland, OH, USA
2
Division of Hematology and Hematological Malignancies, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
2
History of CAR- T cell therapy, 369 CAR structure and function, 370 CAR- T cell manufacturing, 372 CAR- T disease- specific clinical data, 374
Over the past decade, discoveries in the field of cancer immunobiology and the elucidation of mechanisms of tumor- directed tolerance have provided the critical back­ground necessary for the development of clinically effective immunotherapy. Chimeric antigen receptor T (CAR- T) cells have poignantly demonstrated the potency of engineered immune effector cells to selectively target and eradicate malignant cells. CAR- T cell therapy utilizes an artificial receptor that combines the antigen specificity of an antibody with the intracellular signaling domains of T- cell receptors (TCRs), such as CD3ζ, and co- stimulatory molecules (e.g. CD28 & 4- 1BB). This design allows for the targeting of tumor cells expressing a tumor- associated antigen (TAA) on the cell surface by engineered T cells. Given its success in hematological malignancies, CAR- T cell therapy is currently being evaluated in a host of diverse contexts including solid tumors and autoimmune disorders. Here, we discuss the his­tory of CAR- T cell therapy, the structure, and function of the CAR components, current methods, and considerations in manufacturing CAR- T cells, the various malignancies that are treated by CAR-
T therapy, and strategies that are being tested to overcome intrinsic and extrinsic mechanisms of resistance to CAR- T cell therapies.
History of CAR- T cell therapy
First designed in 1993 by Zelig Eshhar, the first- generation CAR- T cells included CD3ζ as an intracellular signaling domain without additional co- stimulatory domains (Eshhar etal.1993). This design demonstrated limited efficacy, with relatively poor activation and persistence of the T cells
Sources of CAR- T resistance, 379 Toxicities of CAR- T therapy, 382 CAR- T cells in the tumor microenvironment, 384 References, 387
observed in and/or cytokine release syndrome due to supplementary treatments such as with high dose IL-
2 (Jensen etal.2010; Büning etal.2010; Kershaw etal.2006). This was followed by the development of second- generation CAR- T cells targeting CD19 in lymphoproliferative diseases that included the insertion of the costimulatory ligands CD28 or 4-1BB, which have demonstrated dramatic therapeutic efficacy leading to FDA approval for a subset of patients with pediatric acute lymphocytic leukemia (ALL), large cell, follicular and mantle cell non- Hodgkin’s lymphoma (Maher et al. 2002; Brentjens etal.2003). Similarly, CAR- T cell therapy targeting BCMA in the context of 41-BB- mediated co- stimulation was approved for patients with relapsed multiple myeloma. As out­lined below, subsequent efforts have explored the targeting of alternative antigens, incorporation of novel costimulatory molecules, limiting CAR- T immunogenicity, enhancement of CAR- T expansion and persistence while minimizing CAR- T exhaustion, and modulation of the tumor immune microenvi­ronment and native effector cell population. While therapeu­tic efficacy has been demonstrated hematologic malignancies,
T cells targeting solid tumors via mesothelin, GD2,
CAR­prostate- specific membrane antigen (PSMA), and mucin- 1 (MUC- 1) have demonstrated disappointing results (Marofi etal.2021; Patel etal.2022). A greater understanding of mech­anisms of resistance, including antigen escape, lack of CAR persistence, functional exhaustion, and immunoregulatory impact of the surrounding microenvironment, has led to next­generation strategies that will extend the efficacy of CAR- T therapy to new targets and contexts, which will be discussed in future sections. In Table25.1, there is a summary of studied CAR- T cells and their respective success and failures (Sterner and Sterner2021; St Martin etal.2023).
Molecular Hematology, Fifth Edition. Edited by Drew Provan and Hillard M. Lazarus. © 2024 John Wiley & Sons Ltd. Published 2024 by John Wiley & Sons Ltd.
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369
370 Molecular Hematology
Generations of CAR-T cells
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Table25.1 CAR- T cell therapy successes andareas forimprovement
CAR- T cell type
CD19 CAR-
BCMA CAR- T Multiple
CD22 CAR- T Promising
HER2 CAR- T Glioblastoma
Successes/ disease type
T B- cell
malignancies
myeloma, favorable safety profile
efficacy in adults with ALL and lymphoma
treatment
Failures/areas of improvement
Toxicities, solid tumor efficacy,
immune inhibition, and resistance in B- cell malignancies
Disease- resistant mechanism
of downregulation of BCMA, antigen escape, so tandem CARs to target multiple scFvs are used
Downregulation of antigen,
relapse from CAR- T therapy failure, immunosuppressive environment, on­off- tumor toxicities, severe cytokine production
Limited penetration, but dual
targeting of HER2 and IL13a2leads to improved anti- tumor efficacy
target but
CAR structure and function
Chimeric antigen receptors are composed of an antibody­derived single- chain variable fragment (scFv), hinge domain, transmembrane domain, and one or more intracellular stim­ulatory domains. Second- and third- generation CAR- T cells are differentiated by the number of co- stimulatory domains. Fourth- generation CARs (T cells redirected for antigen­unrestricted cytokine- initiated killing- TRUCKS), are designed to secrete cytokines such as IL- 7, IL- 12, IL- 15, IL­18, or IL- 23, as a result of CAR signaling (Chmielewski and Abken2020). Here, we discuss the impact of the individual CAR components on the function of the CAR (Figure25.1).
Extracellular scFv and linker
The extracellular scFv of the CAR is composed of antibody­derived variable heavy and variable light chains connected by a flexible linker or spacer. This element of the CAR is what allows MHC- independent recognition of surface tumor­associated antigens (TAA). The primary considerations that go into the design of the scFv are the choice of targeted TAA and the corresponding specificity/affinity of the scFv (Liu et al. 2015; Caruso et al. 2015; Ghorashian et al. 2019;
CAR-T
cell
First
Antigen­binding domain
Hinge and spacer
Transmembrane domain
Intracellular signalling domain
Figure25.1 Structural comparison of CAR- T cell generations. The first- generation CAR- T cells include CD3z as an intracellular signaling domain without additional co- stimulatory domains. The second generation has one costimulatory domain, either CD28 or 4-1BB. CD28 is shown to have a more proliferative response (increased expansion, decreased persistence) with an effector memory population, whereas the 4-1BB domain results in better persistence of the CAR- T cells. CD28has also been theorized to lead to increased exhaustion. For this reason, third- generation CARs are made using both domains. Further generations improve upon the signal process with cytokine inducers (IL- 7, IL- 12, IL- 15, IL- 18, or IL- 23) to improve proliferation and differentiation. Each generation improves the proliferation and the signaling response with these edits to the intracellular domains. Source: Made using BioRender.
generation
VL
VH
scFv
CD3-ζ CD28
Second
generation
Co-stimulatory
domains
Third
generation
41BB
Fourth
generation
Cytokine
inducer
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CAR- T cell therapy 371
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Chmielewski et al. 2004). Higher affinity binding may enhance efficacy but could result in hyperstimulation and earlier progression to an exhausted phenotype. In addition, the consequence of off- target effects may be accentuated if binding to lower- density antigen targets is increased. As the scFv sequence is often derived from a murine antibody sequence, this results in increased immunogenicity and risk of rejection by the host immune system and the poten­tial for rapid clearance of the CAR- T cells (Jensen etal.2010). One area of investigation is the use of human­ized scFvs to reduce risk of rejection and improve CAR- T persistence (Sommermeyer etal.2017).
Choice of CAR- T targets is impacted by the heterogene­ity in the expression of the TAA, the associated biologic relevance for oncogenesis, and the relative prominence of antigen- negative variants. Ideally, antigen expression would be unique to the malignant population, or, alternatively, expression is confined to a target population such as B cells (CD19) or plasma cells (BCMA) whose function may be supported, such as IVIG replacement. Choice of CAR- T antigens has also been explored in the setting of differential levels of TAA expression on malignant as compared to nor­mal tissue, as exemplified by mesothelin (Hassan and Ho2008). Investigators have also examined the targeting of multiple antigens concurrently such as CD19, CD20, and CD22in lymphoma. In addition, the shedding of tumor­associated antigens into the serum may result in saturation of CAR- T receptors and reduce cytotoxicity at the tumor site. Gamma secretase inhibitors have been employed to limit shedding of BCMA and enhance CAR- T- mediated killing of myeloma targets. Toxicity may arise from activa­tion of effector cells with nonspecific, off- target impact on the surrounding cell populations or via systemic immune­mediated events. Alternatively, targeting of normal tissues exhibiting antigen expression may be observed as mani­fested by potential neurotoxicity due to CD19 expression in the brain (Hirayama and Turtle2019). In summary, scFv, CAR expression, and target antigen density can play a sig­nificant role in CAR-
T cell function by influencing the amount of antigen- dependent and independent signaling (Greenman et al. 2021; Gomes- Silva et al. 2017; Long etal.2015). Thus, in the case of mesothelin, specificity may only truly be obtained by appropriately optimizing the expression and affinity of the scFV for the antigen density on the target.
Unlike the choice of scFv and target antigen, CAR linkers have been given little attention. Most CAR linkers are com­posed of serine and glycine repeats of 15–20 amino acids and are intended to serve little function beyond connecting the variable chains without disrupting their folding. Surprisingly, a recent study observed disparate results in two clinical trials despite near- identical CAR designs besides linker length, the difference being one had 5 amino
acids while the other 20 (CAR linker length modulates
targeted CAR- T- cell efficacy in ALL 2021). In the
CD22­follow- up work, it was determined that the length of the linker was the defining difference, with the shorter linker causing homodimer formation and clustering on the cell surface leading to increased signal transduction and cyto­toxic function. Therefore, it was noted how minor altera­tions to CAR design can have unanticipated effects.
Hinge domain
The hinge domain of CAR- T cells is thought to provide the flexibility necessary for the scFv to overcome steric hin­drance and bind to target antigen. The hinge domains typi­cally used in CAR- T cells are derived from CD8α, CD28, immunoglobulin G1 (IgG1), or IgG4, which vary significantly in length, flexibility, and composition. The choice of hinge domain heavily impacts epitope recognition, CAR signaling threshold, and the strength of CAR activation, depending on the chosen antigen and epitope (Zhang etal.2021; Fujiwara
et al. 2020; Guest et al. 2005; Hudecek et al. 2015; Qin et al. 2017). For example, membrane- proximal epitopes
require hinges of greater length, and membrane- distal epitopes requiring hinges of shorter length (Fujiwara etal.2020; Guest etal.2005; Hudecek etal.2015). In some cases, the inclusion of a hinge domain may even be unneces­sary (Qin etal.2017).
Transmembrane domain
The transmembrane domain of the CAR facilitates its anchoring in the cell membrane. As such, the choice of a transmembrane domain has a direct impact on CAR expres­sion levels, CAR stability, and possibly immune synapse for­mation. This, in turn, significantly impacts levels of CAR antigen- dependent and independent signaling (Fujiwara et al. 2020; Bridgeman et al. 2010). The transmembrane domains used in CAR-
T cell therapy are not well studied so options are limited to those derived either from CD28 or CD8, as CD3 was found to have decreased stability (Bridgeman etal.2010). A study comparing the CD28 and CD8 transmembrane domains paired with their respective hinge domains observed little effect on CAR expression lev­els but increased TNFα and IFNγ cytokine production as well as susceptibility to activation- induced cell death with the CD28 hinge and transmembrane domain compared to those of CD8 (Fujiwara etal. 2020; Alabanza et al.2017). While not tested clinically, one study suggested improve­ment of a third- generation CAR via utilization of the trans­membrane domain linked to the membrane proximal intracellular domain (Guedan etal.2018). Still, future work may reveal superior designs regarding selection of trans­membrane domains.
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Intracellular co- stimulatory domains
The intracellular co- stimulatory domains of CARs have received significant attention for their undeniable contribu­tion to CAR function by driving signal transduction upon ligand binding. First- generation CARs only contained CD3ζ or (rarely) Fc receptor γ signaling domains and were overall ineffective in generating T- cell responses with reduced expansion, persistence, IL- 2 production, and clinical efficacy (Eshhar et al.1993; Jensen et al. 2010; Büning et al.2010; Brocker and Karjalainen 1995). Second- generation CARs incorporated CD28 or 4- 1BB signaling domains in addition to CD3ζ and were equally successful in improving the antitu­mor response (Maher etal.2002; Imai etal.2004). While no direct clinical comparison of CD28 and 4- 1BB exists, pre­clinical and clinical evidence suggests that CD28 facilitates more rapid T cell kinetics, a propensity for T cell exhaustion, decreased persistence, and greater glycolytic metabolism in comparison to 4- 1BB in CAR- T cells (Long et al. 2015; Kawalekar et al. 2016; Zhao et al.2015). CD28 and 4- 1BB signal through phosphoinositide 3- kinase (PI3K) and tumor necrosis factor receptor–associated factors (TRAFs), respec­tively. Though, characteristics also thought to drive their dif­ferences are the increased level of recruitment of lymphocyte- specific protein tyrosine kinase (Lck), the increased degree of antigen- independent phosphorylation, and the decreased level of phosphatase recruitment in CD28 CAR- T cells (Sun et al.2020). Interestingly, a recent study shows that CD28 CAR- T drives the cells to become exhausted, while the 4-1BB costimulatory domains result in more dysfunctional phenotypes, showing that there are divergent signaling patterns as a result of different costimu­latory domains (Selli etal.2023). Alternative co- stimulatory domains with positive results that are yet to be tested clini­cally include CD27, OX40, inducible T cell costimulator (ICOS), myeloid differentiation primary response 88 (MYD88), and CD40 (Hombach etal.2012; Mata etal.2017; Song and Powell2012; Guedan etal.2014). Third- generation
T cells incorporate three co- stimulatory domains in
CAR­comparison to two with the theory of further simulating T cell activation (Pulè et al. 2005). Combinations that have been tested include CD3ζ/CD28/4- 1BB or CD3ζ/CD28/ OX40 and the results vary in their efficacy. In a model of lymphoma, CD3ζ/CD28/4- 1BB CAR- T cells showed supe­rior anti- tumor efficacy to the second- generation CARs (Zhong et al. 2010). Whereas, in models of leukemia and pancreatic cancer, third- generation CARs performed infe­rior to second- generation (Abate- Daga et al.2014; Milone et al. 2009). Moreover, early- phase clinical trials utilizing third- generation CAR- T cells have shown comparable effi­cacy to second- generation CAR- T cells (Enblad etal.2018). In another trial, CD3ζ/CD28/4- 1BB CAR- T cells expanded 28 times more than CD3ζ/CD28 second- generation CAR- T
cells, although clinical efficacy was not compared (Gomes da Silva etal.2016).
CAR- T cell manufacturing
There are many considerations related to the methods used for CAR- T manufacturing. Subtle changes in manufacturing methods can result in significant changes in clinical efficacy due to alterations in the underlying T cell composition (i.e. percentage of CD4 and CD8 T cells), the percentage and level of CAR expression, CAR- T cell differentiation, product purity, and safety/toxicities associated with the therapy. The methods that are most likely to influence clinical efficacy are cell isolation, construct integration, expansion duration, and cytokine stimulation. Furthermore, significant consideration must be given to the facilities, cost, and time needed to man­ufacture CAR- T cells. While most drugs are readily available and manufactured in bulk, CAR- T cells are typically autolo­gous (i.e. patient- derived) cells that require time and special­ized good manufacturing practice (GMP) facilities/personnel to manufacture. Autologous CAR- T generation is a multi-
kapheresis, transgenic expression of CAR accomplished via viral transduction, cellular expansion ex- vivo, confirmation of sterility, and lymphodepleting chemotherapy condition­ing before infusion of the CAR- T cells. This process usually takes weeks and patients may require bridging therapy for disease control until CAR- T cell administration. The use of autologous CAR- T cells is dependent on the functional com­petency of the T cell substrate that may be impacted by dis­ease status and prior cytotoxic therapies. Allogeneic cell CAR- T cells have been explored as providing an “off- the­shelf” source of cell therapy from normal donors without the complex logistics of autologous cell production. However, persistence of allogeneic product may be limited by immune rejection and interactions between the CAR- T and host immunity are blunted. At present, the methods used to man­ufacture CAR­the global scalability and accessibility of CAR- T cells, and innovations in the technology for these methods are being explored (Figure25.2).
Cell isolation method
Peripheral blood mononuclear cells are isolated by leukapher­esis and leukocytes may be enriched for T cells, prior to activa­tion, often via bead- bound antibody selection of CD3 or CD4 and CD8 expression. In other cases, the CD4:CD8 T cell ratio is altered to improve consistency, but while the inclusion of CD4 T cells is thought to improve efficacy, the impact of main­taining a CD4:CD8 ratio remains unclear (Sommermeyer etal.2016; Turtle etal.2016). Similar strategies to specifically
T cells are considered significant barriers to
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