Abstract
Chimaeric antigen receptor (CAR) T cells can generate durable clinical responses in B-cell haematologic malignancies. The manufacturing of these T cells typically involves their activation, followed by viral transduction and expansion ex vivo for at least 6 days. However, the activation and expansion of CAR T cells leads to their progressive differentiation and the associated loss of anti-leukaemic activity. Here we show that functional CAR T cells can be generated within 24 hours from T cells derived from peripheral blood without the need for T-cell activation or ex vivo expansion, and that the efficiency of viral transduction in this process is substantially influenced by the formulation of the medium and the surface area-to-volume ratio of the culture vessel. In mouse xenograft models of human leukaemias, the rapidly generated non-activated CAR T cells exhibited higher anti-leukaemic in vivo activity per cell than the corresponding activated CAR T cells produced using the standard protocol. The rapid manufacturing of CAR T cells may reduce production costs and broaden their applicability.
Subject terms: Cancer immunotherapy, Gene delivery
Potent chimaeric antigen receptor T cells can be generated within one day from T cells derived from peripheral blood without the need for T-cell activation.
Main
Adoptive cellular immunotherapy using T cells that are genetically modified to express a chimaeric antigen receptor (CAR) or cloned T cell receptor (TCR) yield durable clinical responses in patients with cancer1–6. The effectiveness of adoptive cellular immunotherapy led to the regulatory approval of several CD19-specific CAR T (CART19) cell therapies, including tisagenlecleucel and axicabtagene ciloleucel. Both these therapies involve the isolation of mononuclear cells containing T cells from the peripheral blood of the patient, followed by T-cell activation through their endogenous T cell receptor–CD3 complex, genetic modification using a viral vector and expansion ex vivo before re-infusion. We recently showed that activated T cells undergoing rapid proliferation ex vivo differentiate towards effector cells with a loss of anti-leukaemic potency7. The ability of T cells to engraft following adoptive transfer is related to their state of differentiation with less-differentiated naive-like and central memory cells showing the greatest potency in several preclinical studies8–11. A number of interventions have been reported to limit the differentiation of T cells and enhance the potency of ex vivo-expanded T cells, such as blockade of Fas–FasL interactions12, inhibition of Akt signalling13,14 or activation of Wnt signalling15–17. However, elimination of the activation step and corresponding proliferative phase of T cells ex vivo offers a far simpler and more cost-effective approach provided the barriers to gene transfer into quiescent T cells can be overcome.
Natural human immunodeficiency virus (HIV) has the ability to infect quiescent T cells in the G0 stage of the cell cycle18–20. Unlike gammaretroviruses, HIV-based lentiviral vectors can infect both dividing and non-dividing cells. However, the transduction efficiencies in quiescent T cells are typically lower than their activated counterparts. Lentiviral infection is a multi-step process involving binding of the viral particle to the plasma membrane of a T cell and endocytosis, followed by envelope fusion, reverse transcription to form a pre-integrated DNA provirus and finally integration into the host T-cell genome. Lentiviral particles that are pseudotyped with the vesicular stomatitis virus g-glycoprotein (VSV-G) to broaden the viral tropism depend on the low-density lipoprotein receptor (LDL-R), which is ubiquitously expressed on the surface of various cells, including lymphocytes, for entry21,22. Limitations to efficient lentiviral transduction of quiescent T cells occur at each stage of infection. The fusion of lentiviral particles with quiescent T cells is inefficient23,24. Conditioning the cell culture medium with recombinant interleukin (IL)-7 and IL-15 cytokines can overcome this limitation25 and increase the transduction efficiencies as well as cell survival in quiescent T cells26,27. Engineering viral particles to express an IL-7 fusion protein increases quiescent T-cell lentiviral transduction28. Post entry, low concentrations of nucleotides and the presence of additional restriction factors such as SAMHD1 limit the rate of reverse transcription in quiescent T cells29–31. Collectively, these factors make lentiviral transduction of non-activated T cells inefficient.
Having previously shown that shortening the ex vivo culture of CAR T cells yields a cellular product with less-differentiated T cells and significantly enhanced effector function, we hypothesized that elimination of the CD3 and CD28 (CD3/CD28) activation step could yield a T-cell product with high functional potency. Reducing the culture duration could also substantially reduce the vein-to-vein time and substantially improve the logistics required to make CAR T-cell products. Here we have overcome some of the barriers to lentiviral transduction of non-activated T cells with a CAR by modifying the ex vivo manufacturing protocol. This technical advance resulted in CAR T cells with potent antitumor function that were available within 24 h of mononuclear-cell collection compared with the 9 d process currently used by tisagenlecleucel. These results demonstrate the potential for a vast reduction in the time, materials and labour required to generate CAR T cells, which could be especially beneficial in patients with rapidly progressive disease and in resource-poor healthcare environments.
Results
Transduction of non-activated T cells by lentiviral vectors
We confirmed the previously reported low transduction efficiency of freshly isolated quiescent T cells with VSV-G-pseudotyped lentivirus vector. Primary human T cells obtained from healthy donors were mixed with an infrared red fluorescent protein (iRFP)-encoding lentiviral vector under conditions identical to activated T cells and followed for 96 h to assess the efficiency and kinetics of transduction (Fig. 1a). In comparison to lentiviral transduction of T cells activated 24 h previously with anti-CD3/CD28 microbeads at a multiplicity of infection (MOI) of five, which yields >85% transduction at 48 h, the efficiency (Fig. 1a) and kinetics (Fig. 1b,c) of lentiviral transduction in non-activated T cells was substantially slower, requiring at least 72 h to achieve detectable expression of an iRFP transgene and with a transduction efficiency that was about 11-fold lower at 96 h than activated T cells (Fig. 1a). The slower kinetics of this process is consistent with the previous observation of inefficient transduction efficiency of VSV-G-pseudotyped lentivirus vector23 and the decreased rate of reverse transcription reported for natural HIV in quiescent T cells compared with activated T cells32. Transduction was observed in both memory and naive subsets of CD4+ and CD8+ T cells, with the highest efficiency observed in CD8+ cells with a memory phenotype (Fig. 1d,e).
We repeated the same studies using a third-generation lentiviral vector encoding a CD19-specific CAR (CAR19), which in contrast to the cytoplasmic nature of iRFP is a cell membrane-expressed protein. The levels of CAR expression were measured by immunostaining with a monoclonal antibody recognizing the idiotype of the single-chain variable fragment33. In a similar kinetic analysis to that performed with the iRFP-encoding lentiviral vector, we observed that non-activated T cells acquired CAR expression as early as 12 h after the addition of the CAR lentiviral vector, with a steady increase to >80% of T cells transduced by 96 h (Fig. 2a). To determine whether the CARs were stably expressed, the T cells were treated with either a reverse transcriptase (RT) or integrase inhibitor during the lentiviral transduction process. As shown in Fig. 2b,c, CAR expression in non-activated T cells was unaffected by either compound, whereas both RT and integrase inhibition completely abrogated CAR expression in activated T cells. This pseudotransduction observed in non-activated T cells is probably due to the transfer of CAR protein from the lentiviral vector envelope by viral fusion to the T cell, as it is well-known that membrane proteins expressed in the packaging cells are incorporated into the HIV envelope34. The absence of apparent pseudotransduction with a vector that encodes iRFP, a cytoplasmic protein, provides support for this envelope-mediated transfer mechanism (Fig. 2d). Notably, the observed pseudotransduction was not exclusive to non-activated T cells. However, greater rates of pinocytosis in activated T cells may increase cell-membrane turnover and hence clearance of passively transferred proteins contributing to pseudotransduction. Importantly, CART19 cells generated by lentiviral transduction of non-activated T cells in the presence of RT and integrase inhibitors showed no specific cytolytic activity and cytokine production against CD19-expressing target cells (Supplementary Fig. 1a,b). Based on these data, we conclude that long-term persistence of CAR expression in T cells will require vector integration, which occurs at a substantially lower frequency in non-activated T cells compared with activated T cells.
Although functional CAR expression could not be assessed post transduction due to the substantial pseudotransduction, we hypothesized that the transduction process would probably continue following adoptive transfer in vivo, giving rise to functional CART19 cells. We therefore performed an in vivo experiment to evaluate non-activated CART19 cells transduced for 24 h (day 1, d1) as in Fig. 1 using a well-established Nalm6 B-cell acute lymphoblastic leukaemia (ALL) mouse model35. As shown in Fig. 3, a dose of 3 × 106 non-activated CART19 cells (d1) washed and infused within 24 h of collection was compared with a dose of 3 × 106 CAR+ CD3/CD28-activated CAR T cells that were expanded ex vivo for 9 d before injection, a research process comparable to that used to manufacture tisagenlecleucel, as shown schematically in Fig. 3a,b. Although non-activated CAR T cells were unable to induce a complete regression of leukaemia, they controlled leukaemia for an extended duration of 60 d. As a comparison, we show the effectiveness of d9 CAR T cells is highly variable across donors (Fig. 3d,e). Typically, d9 cells exit their logarithmic growth phase and are resting down. However, some donors can maintain high metabolic activity and function at this time point. This contributes to donor-to-donor variability in antitumour responses. Given the persistence of T cells in the peripheral blood of mice (Fig. 3f,g), our findings suggest that non-activated CAR T cells retain replicative capacity to maintain function under continuous antigenic stimulation (Fig. 3d). This contributed to a significant increase in the overall survival of the leukaemia-bearing mice (Fig. 3h). These results support the functional nature of non-activated CART19 cells, and they encouraged the optimization of the transduction process to further enhance non-activated CART19 activity.
Modification of the culture conditions to enhance non-activated T-cell transduction
Numerous mechanisms restrict quiescent T-cell infection by natural HIV. Viral attachment and entry represent a critical initial phase of the transduction process, during which the RNA genome of the lentiviral vector is inserted into the cytoplasm of the host T cell. Although natural HIV uses both chemokine receptors and CD4 for attachment and entry36, VSV-G-pseudotyped lentiviral vectors use the LDL-R as their primary receptor22. The low transduction efficiency of non-activated T cells has been attributed to low expression of LDL-R21. As the abundance of LDL-R is linked to the metabolic state of the cell and LDL uptake can be enhanced by cholesterol restriction37, we evaluated whether a brief serum starvation before lentiviral-vector transduction increases the lentiviral-vector transduction of non-activated T cells. Brief (3–6 h) serum starvation increased iRFP expression by an average of twofold in non-activated T cells (Fig. 4a and Supplementary Fig. 1). The slow kinetics of reverse transcription in non-activated T cells by both natural HIV and lentiviral vectors also contribute to the reduced transduction efficiency. Completion of reverse transcription during natural HIV infection is enhanced by high concentrations of deoxynucleosides (dNs)19. Supplementation of the culture medium with 50 µM dNs also increased the lentiviral transduction of non-activated T cells by two- to threefold (Fig. 4b). Finally, the limited diffusibility of lentivirus in large culture vessels is another major barrier limiting the transduction efficiency in T cells38. To evaluate this, we adjusted the geometric conditions to enhance the colocalization of vector particles with T cells. By increasing the surface area-to-volume ratio of the culture vessel, while keeping the volume constant, we increased the transduction of non-activated T cells by at least twofold (Fig. 4c). Furthermore, we show that the transduction efficiencies can be enhanced by 2–12-fold in non-activated T cells by combining these approaches (Fig. 4d).
Given that pseudotransduction with CAR19 interferes with the ability to estimate the transduction efficiency (Fig. 2) and vector integration is likely to be ongoing at the time of infusion, we estimated the efficiency of the optimized transduction process by adoptively transferring the transduced T cells into non-leukaemia-bearing NSG mice, which permits an estimation of the frequency of integrated vector in the absence of CAR stimulation by antigen-expressing tumour cells that would normally stimulate and enrich for CAR T cells. CART19 cells were generated from freshly isolated peripheral blood T cells by serum starving the T cells for 3 h, followed by transduction in a minimal volume of lentiviral vector encoding CAR19 (MOI of five) for 20 h in the presence of dNs (50 µM), and IL-7 and IL-15 (10 ng ml−1 each; Fig. 4e). When we evaluated three CART19 products produced from three separate donors, we observed a mean transduction frequency of 8% (range of 6–16%) based on analysis performed 3 weeks following the adoptive transfer (Fig. 4f), which is within the lower end of the range of CART19 products using a 9 d manufacturing process39. This was confirmed by quantitative PCR (qPCR) analysis of the integration of lentivirus vector in non-activated T cells over time (Table 1). Thus, our data are consistent with the integration of the lentiviral vector in the non-activated T cells occurring over several days after infusion of the non-activated CART19 cells.
Table 1.
Sample | RU5 copies per cell | Proviral HIV copies per cell |
---|---|---|
12 h | 0.19 | 0.01 |
24 h | 0.16 | 0.09 |
48 h | 0.55 | 0.23 |
72 h | 0.69 | 0.60 |
12 h (RT and integrase inhibitor) | 0.15 | <LOD |
24 h (RT and integrase inhibitor) | 0.12 | <LOD |
48 h (RT and integrase inhibitor) | 0.07 | <LOD |
72 h (RT and integrase inhibitor) | 0.05 | <LOD |
<LOD, below the limit of detection; RU5, long-terminal repeat (LTR) primer only for total vector (integrated + non-integrated).
Comparison of integrated vector (number of proviral HIV copies per cell) with the total vector copies (number of RU5 copies per cell, detected total integrated + non-integrated vector) with or without RT and integrase inhibitors.
In vivo functional assessment of optimally transduced CART19 cells
We hypothesized that a non-activated CAR T-cell product preserves the intrinsic stem-like properties of naive and memory T cells, culminating in enhanced persistence following infusion. To evaluate this hypothesis, we performed an in vivo functional ‘CAR stress test’ using limited numbers of CAR T cells in the Nalm6 leukaemia model. Total non-activated T cells (2 × 106, 7 × 105 or 2 × 105) transduced using our optimized process were adoptively transferred into NSG mice bearing pre-established Nalm6 xenografts. Activated CART19 cells (3 × 106) prepared by anti-CD3/CD28 bead stimulation, followed by 9 d of ex vivo expansion were used as a control in addition to 3 × 106 mock-transduced non-activated T cells (Fig. 5). As shown in Fig. 5b–d, complete regression of Nalm6 leukaemia to a bioluminescence flux (BLI) of less than 1 × 106 photons per second was observed in all groups treated with non-activated CART19 cells. The kinetics of the anti-leukaemic response for the non-activated CART19 cells was dose dependent; the lowest dose group cleared the tumour by d18, whereas the highest dose group achieved tumour regression by d11 (Fig. 5e). The CD3/CD28-stimulated and expanded CART19 cells were the quickest to clear leukaemia (Fig. 5d). However, the depth and durability of the response for this donor was limited, with all mice relapsing by d17. In contrast, the non-activated CART19 cells controlled leukaemia for the duration of the experiment in all mice at the highest dose and in most mice at the lower doses (Fig. 5c). This durability was associated with an increased persistence of T cells. As seen in Fig. 5f–h, the absolute counts of CART19 cells were significantly increased in the peripheral blood of the mice treated with non-activated CART19 cells—which was proportional to the dose infused—compared with treatment with activated CART19 cells. These cells were mostly effector memory cells (Supplementary Fig. 3). To demonstrate the broader applicability of our approach, we also evaluated the antitumour function of CD33-specific CAR T cells generated from non-activated T cells in a xenograft model of acute myeloid leukaemia (AML). As seen in Extended Data Fig. 1, non-activated CAR T cells demonstrated an anti-leukaemic function that was similar to CAR T cells generated from CD3/CD28-activated T cells and expanded over 9 d. Unfortunately, the durability of the response could not be assessed in this model due to an allogeneic response that was evident with non-transduced (NTD) cells 2 weeks after the CAR T-cell infusion.
In summary, these findings demonstrate that as few as an estimated 12,000–32,000 non-activated CAR T cells, based on the range of transduction efficiency generated with the optimized transduction process (Fig. 3e), within 24 h from collection could eradicate leukaemia. The long-term engraftment of non-activated CAR T cells probably occurs due to their enhanced replicative capacity compared with activated CAR T cells.
Feasibility and functionality of non-activated CAR T cells using patient samples
After showing that non-activated CAR T cells can be generated from healthy donor lymphocytes, we extended our observations to T cells isolated from patients undergoing cancer treatment. Immunosuppressive factors in the tumour environment may impede the ability to generate functional CAR T cells using our approach. We therefore evaluated the anti-leukaemic activity of non-activated CAR T cells generated using apheresis-collected mononuclear cells derived from an individual with diffuse large B-cell lymphoma who was treated in one of our CART19 cell clinical trials (ClinicalTrials.gov number NCT02030834). Given that apheresis-collected mononuclear cells comprise numerous cell types in addition to T cells, we employed a CD4+ and CD8+ T-cell positive selection strategy using current good manufacturing practice (cGMP)-compliant anti-CD4 and anti-CD8 magnetic microbeads (Supplementary Fig. 4a). Following selection, the enriched T cells were lentivirally transduced with CAR19 in medium conditioned with 50 µM dNs and 10 ng ml−1 IL-7 and IL-15 for 24 h as in the previous studies with healthy donor T cells. CART19 cells manufactured at the University of Pennsylvania’s Cell and Vaccine Production Facility using a cGMP-compliant 9 d process were used a control. 3 × 106 total non-activated T cells (d1) versus 3 × 106 CAR T cells (d9) were adoptively transferred to NSG mice bearing pre-established Nalm6 xenografts. To control for CD19-specific cytolytic activity, 3 × 106 mock-transduced non-activated T cells were included as an additional control. To estimate the transduction efficiency of the non-activated CAR T cells, 3 × 106 transduced T cells were infused into NSG mice without leukaemia (Fig. 4e). The lentiviral infection efficiency was estimated to be 32%, as assessed by integration analysis performed 7 weeks following the adoptive transfer. These data were corroborated by flow cytometric analysis (Supplementary Fig. 4b). As shown in Fig. 6a,b, the d9 CART19 cells exhibited complete regression of Nalm6 leukaemia. However, all mice relapsed by d20, consistent with the progressive loss of function and low replicative capacity of CAR T cells in this model. In contrast, non-activated CART19 cells provided sustained leukaemia control in half of the mice (three of six) for the duration of the experiment. The enhanced durability of the anti-leukaemic activity in the mice treated with non-activated CAR T cells, demonstrated by a lower bioluminescence signal on d49 (Fig. 6e), was associated with an improved persistence of T cells in the peripheral blood (Fig. 6f–h). In summary, these results demonstrate the feasibility of generating CAR T cells from patient-derived non-activated T cells using a process that can be imported into a cGMP environment and further demonstrated that rapidly produced non-activated CAR T cells exhibit a more durable anti-leukaemic function compared with CAR T cells manufactured using a 9 d ex vivo expansion process following CD3/CD28 activation.
Distribution of vector integration sites in non-activated CAR T cells
To assess whether the different methods of cell preparation affected the distribution of the vector integration sites, samples were analysed by ligation-mediated PCR40–42 and compared with historical CAR T-cell products43 (Supplementary Report). Experimental infections were carried out in non-activated and activated cells, and their DNA was purified. The DNA was sheared by sonication, DNA adaptors were ligated onto the free DNA ends and the region between the adaptor and the edge of the integrated vector was PCR amplified. The PCR products were then subjected to sequencing, the DNA sequences were mapped to the human genome and the distributions of the vector integration sites were compared. We also compared a set of pre-infusion samples from CAR T-cell products where aliquots were later infused into human study participants and for which no vector-associated adverse events were noted43.
Integration in both the resting and activated cell samples was favoured in active transcription units and the associated genomic annotation, as has been seen in many studies44–46. No expanded clones were observed. The integration frequency near annotated cancer-associated genes was comparable for the non-activated and activated CAR T cells and not obviously different from the CAR T-cell pre-infusion comparison set. Thus, we conclude that there were no obvious differences in integration-site distributions that might raise safety concerns. These findings correlate with studies of HIV integration-site distributions in resting and activated T cells, where at most modest differences were detected47.
Discussion
This study presents an approach to rapidly generate highly functional CAR T cells for adoptive immunotherapy. This approach capitalizes on the unique ability of lentiviral vectors to transduce non-activated quiescent T cells. Ex vivo cell culture following T-cell activation is an essential part of the manufacturing of CAR T-cell therapies. Because T-cell-receptor activation and clonal expansion promote irreversible differentiation of T cells as well as potentially other detrimental changes to the T cells through processes such as oxidative stress48,49, the potency of CAR T cells may be compromised during their manufacturing process. Although interventions such as the provision of different costimulatory receptor signals50 and cytokines51, or other alterations to the culture conditions (for example, Akt inhibition)52 help to limit this cellular differentiation, stable expression of a CAR in a non-activated T cell provides a far simpler approach to limiting differentiation. Our results demonstrate that functional transduction of non-activated T cells, including memory subsets, can be achieved within less than 24 h of the T-cell collection. Moreover, non-activated T cells transduced with CAR19 exhibit potent in vivo anti-leukaemic efficacy at cell doses well below those effective for activated T cells7.
To show the potential benefit of our approach beyond CART19 in models of ALL, we confirmed the antitumour potency of unstimulated CAR T cells redirected against CD33. These findings broaden the impact of our approach to other blood-based leukaemias, including AML. We found that NTD cells controlled the tumour burden 2 weeks following infusion in our xenograft model of AML. High levels of antigen presentation specific to AML may create an allogeneic immune pressure that stimulates the ‘graft versus leukaemia effect’ in donor T cells. This is an expected response as bone-marrow transplantation works to treat patients with leukaemia.
Importantly, we established that our overall process was technically feasible in line with current manufacturing procedures, facilitating a rapid transition into the clinical sector. Using patient apheresis material, we demonstrated that T cells can be isolated using cGMP-grade antibodies and standard column-based purification methods. These cells retain maximal functional competence using our method of CAR gene delivery and preparatory phase, which eliminates activation. Our approach is poised for a rapid implementation to Clinimax-based systems that are currently used in our manufacturing division at the University of Pennsylvania as well as other facilities.
The approach used for the transduction of non-activated T cells in our studies has only been partially optimized and it is probable that the efficiency of the transduction process can be further enhanced. A recent study demonstrated that the use of a microfluidic chamber for transduction could significantly increase both the efficiency and kinetics of the transduction process by overcoming the diffusion barriers inherent to static cultures38,53. Interference with SAMHD1, a deoxynucleoside triphosphate triphosphohydrolase that restricts HIV-1 infection in quiescent T cells, is another potential strategy to enhance non-activated T-cell transduction31,54. Mechanistically, SAMHD1 hinders lentivirus infection by impeding the rate of reverse transcription. Loss-of-function approaches show that SAMHD1 elimination leads to increased infection efficiencies in non-activated T cells54. Small molecules that inhibit SAMHD1 are under development and may have applications here55. In addition to the post-entry restrictions, substitution of the VSV-G envelope protein with alternative glycoproteins such as the cocal virus envelope may also enhance the lentiviral entry step into quiescent T cells, as this envelope protein has yielded superior transduction efficiencies in haematopoietic stem cells and activated T cells56.
In addition to optimizing the transduction process, the optimal composition of non-activated T cells for adoptive immunotherapy is largely unknown. Various syngeneic murine models show that memory T-cell subsets have a superior antitumour function following adoptive transfer8,11,16,57. In the CD8+ T-cell compartment, the transduction efficiencies were highest in the memory T-cell subsets (Fig. 1e). It cannot be assumed that the T-cell subsets found to be optimal for activated T cells will be the same when using non-activated T cells in adoptive immunotherapy. Cells with effector differentiation and function may be needed in addition to memory cells for replenishment of the tumour-specific T-cell pool when starting with quiescent T cells. The optimal CAR design for non-activated T cells has also not been defined. Our study used a second-generation CAR incorporating the 4-1BB cytoplasmic domain; however, this design was previously selected for its function in activated T cells, in which natural 4-1BB is typically expressed58. Alternate CAR designs may be required for optimal function in quiescent T cells. Combining T-cell subsets with their preferred costimulatory domain may be the most beneficial approach for immediate effector function and long-lasting engraftment.
Intriguingly, quiescent memory T cells seem to be more susceptible to lentiviral transduction than their naive counterparts. These findings suggest that previous activation supports lentiviral transduction, even when the T cells are in a quiescent state at the time of transduction. It is possible that epigenetic alterations underlying the commitment to memory render the cells more susceptible to infection at a later date. In support of this hypothesis, H3K36me3 histone modifications promote viral integration in actively transcribed regions in non-dividing cells59. In addition to the unique epigenetic landscape of memory cells, transcriptional complexes are redistributed to the nuclear pore in non-dividing cells60. Proteins assembled at the nuclear pore may enhance HIV-1 nuclear entry in memory T cells through unknown mechanisms.
The slow kinetics of lentiviral transduction observed in our study complement the delay in reverse transcription and integration observed in natural HIV infection of non-activated CD4+ T cells18–20. It is probable that the majority of T cells used in our in vivo studies lacked integrated proviral DNA at the time of adoptive transfer and the processes of reverse transcription and integration instead probably continue post infusion. This introduces challenges for the assessment of the quality of the CAR T cells. Transduction efficiency, typically measured by CAR expression at the cell surface and/or vector integration, is routinely used as a surrogate measure of product potency as well as CAR T-cell dose. Translation of a rapid manufacturing approach using non-activated T cells will therefore require the development of alternative methods to evaluate the transduction process, such as quantitation of the reverse transcription intermediates.
There are inherent regulatory challenges to conforming to the current Food and Drug Administration guidelines, which were largely developed for small-molecule drugs and simpler biologics like protein therapeutics to highly complex, living therapeutics such as CAR-modified T cells. In the case of the rapid manufacturing process described here, one of the most important challenges is that the ‘manufacturing’ process is to some extent still ongoing at the time of the CAR T-cell harvest. Limiting the ex vivo transduction process to 24 h means that a number of vector particles will still be undergoing reverse transcription and integration post infusion as these processes are significantly slower in non-activated T cells. As we have shown, quantitative measures of the active reverse transcription and integration process, such as the Alu repeat-based qPCR, may be the most direct methods for assessing the quality of the transduction process in lieu of directly measuring CAR protein expression, as traditionally done with activated CAR T-cell products; however, this needs to be rigorously evaluated in future studies.
In summary, the ability to generate highly functional CAR T cells within a day has important implications for improving CAR T-cell therapies. Lentiviral vectors provide a highly efficient method to produce CAR T-cell products with durable engraftment and function by leveraging the unique ability of these vectors to enter and integrate into the genome of non-dividing cells. Extended ex vivo culture of T cells is unnecessary to produce CAR T cells for therapeutic purposes. Minimizing ex vivo manipulation, in addition to reducing costs, conserves limited resources, such as human serum and manufacturing space, as T-cell clonal expansion occurs entirely in vivo. If the process can be reduced to a few simple steps, it also has the potential to decentralize CAR T-cell manufacturing to local hospital laboratories. This will avoid many of the logistical challenges. The generation of engineered T-cell products within a shorter interval between apheresis collection and the re-infusion of CAR T cells could also be of particular benefit to patients with rapidly progressive disease, who may otherwise be unable to receive the therapy61.
Methods
Generation of lentiviral vectors
Replication-defective lentivirus was produced by standard methods using a third-generation lentiviral vector transfer plasmid encoding iRFP, an anti-CD19-BBζ CAR33 or anti-CD33-BBζ CAR38 mixed with three packaging plasmids encoding VSV-G (pMDG.1), gag/pol (pMDLg/pRRE) and rev (pRSV-rev), and transfected into HEK293T cells using Lipofectamine 2000 (Invitrogen).
Cells
Peripheral blood leukocytes from healthy donors were obtained from the Human Immunology Core of the University of Pennsylvania. Informed consent was obtained from all participants before collection. All methods and experimental procedures were approved by the University of Pennsylvania Institutional Review Board. Healthy donor T cells were purified at the Human Immunology Core by negative selection using a RosetteSep T cell enrichment cocktail (Stem Cell Technologies). Patient-derived T cells were isolated by positive selection using CD4- and CD8-specific microbeads (Miltenyi Biotec) according to the manufacturer’s protocols.
All cell lines (Nalm6, MOLM14 and HEK293T) were originally obtained from the American Type Culture Collection. Cells were expanded in RPMI medium containing 10% fetal bovine serum, penicillin and streptomycin at a low passage and tested for mycoplasma contamination. The culture medium was adjusted to pH 7.4. Cell-line authentication was performed by the University of Arizona Genetics Core based on criteria established by the International Cell Line Authentication Committee. Short-tandem-repeat profiling revealed that these cell lines were above the 80% match threshold. All cells were cultured in standard conditions using a humidified incubator with set-points at 5% CO2, 20% O2 and 37 °C.
Transduction of T cells
For activated T cells, T cells were resuspended (1 × 106 cells per ml) in X-VIVO 15 medium (Cambrex) supplemented with 5% human AB serum (Valley Biomedical), 2 mM l-glutamine (Cambrex), 20 mM HEPES (Cambrex), and IL-7 and IL-15 (10 ng ml−1 each, Miltenyi Biotec). Dynabeads human T-activator CD3/CD28 beads (Thermo Fisher) were added to a final ratio of three beads to one cell. After 24 h, lentiviral vector supernatant was added at the indicated MOI. The cells were maintained in culture at a concentration of 0.5 × 106 cells per ml by adjusting the concentration every other day based on counting by flow cytometry using CountBright beads (BD Bioscience) and monoclonal antibodies to human CD4 and CD8 (ref. 62). The cell volume was also measured using a Multisizer III particle counter (Beckman-Coulter) every other day. For non-activated T cells, T cells were resuspended (1 × 106 cells per ml) in RPMI medium containing penicillin and streptomycin as well as 20 mM HEPES for 3–6 h. The T cells were then resuspended (1 × 107 cells per ml) in X-VIVO 15 medium supplemented with 5% human AB serum, 2 mM l-glutamine, 20 mM HEPES, IL-7 and IL-15 (10 ng ml−1 each), and lentiviral vector supernatant to achieve the desired MOI, as indicated. Integrase (Raltegravir, 1 µM) and RT (Saquinavir, 1 µM; Cayman Chemical) inhibitors, and dNs (50 µM; Sigma) were also added to the medium in some experiments, as indicated.
Flow cytometry
T-cell differentiation was assessed using the following antibodies: anti-CCR7–FITC clone 150503 (BD Pharmingen); anti-CD45RO–PE clone UCHL1 and anti-CD8–H7APC clone SK1 (BD Biosciences); and anti-CD4–BV510 clone OKT4, anti-CD3–BV605 clone OKT3, anti-CD14–Pacific Blue clone HCD14 and anti-CD19–Pacific Blue clone H1B19 (BioLegend). The anti-CAR19 idiotype for surface expression of CAR19 was provided by Novartis. Cells were washed with PBS, incubated with LIVE/DEAD fixable violet (Molecular Probes) for 15 min and resuspended in fluorescence activated cell sorting buffer consisting of PBS, 1% BSA and 5 mM EDTA. The cells were then incubated with antibodies for 1 h at 4 °C. Positively stained cells were differentiated from the background using fluorescence-minus-one controls. A representative gating strategy to identify T-cell subsets is shown in Supplementary Fig. 5. Flow cytometry was performed on a BD LSR Fortessa system. Analysis was performed using the FlowJo software (Tree Star Inc. version 10.1).
qPCR analysis
Genomic DNA was isolated using a QIAamp DNA micro kit (Qiagen). Using 200 ng genomic DNA, qPCR analysis was performed to detect the integrated BBζ CAR transgene sequence using ABI Taqman technology as previously described6,33. To determine the number of transgene copies in the genomic DNA (copies per µg DNA), an eight-point standard curve was generated consisting of 5 × 106–1 × 106 copies of the BBζ lentivirus plasmid spiked into 100 ng non-transduced control genomic DNA. A primer–probe set specific for the CDKN1A gene, a single-copy gene in the human haploid genome, was used as a normalization control to estimate the number of vector copies per cell. The levels of total and integrated DNA were measured by PCR as previously described63,64. Briefly, for total lentiviral levels, primers against the LTR (LTR F, 5′-TTAAGCCTCAATAAAGCTTGCC-3′ and LTR R, 5′-GTTCGGGCGCCACTGCTAGA-3′) were used. Integrated DNA was measured using primers against the human Alu element (Alu F, 5′-GCCTCCCAAAGTGCTGGGATTACAG-3′) and the lentiviral gag gene (gag R, 5′-GCTCTCGCACCCATCTCTCTCC-3′). Notably, a small amount of gag was retained in the lentiviral vector. For both reactions, a nested approach was utilized. For the LTR PCR, the PCR conditions for the first round were: 95 °C for 2 min; followed by 12 cycles of 95 °C for 15 s, 64 °C for 45 s and 72 °C for 1 min; and then 72 °C for 10 min. For the Alu-gag PCR, the following PCR conditions were used: 95 °C for 2 min; followed by 40 cycles of 95 °C for 15 s, 56 °C for 45 s and 72 °C for 3.5 min; and then 72 °C for 10 min. Aliquots of the first-round PCR reactions (15 µl) were run on the qPCR instrument using the LTR F and LTR R primers and the probe 5′-CCAGAGTCACACAACAGACGGGCACA-3′. The PCR conditions were: 95 °C for 15 s; followed by 40 cycles of 95 °C for 10 s and 60 °C for 20 s. For the Alu-gag PCR, genomic DNA was diluted to target 30–80% positive wells at two dilutions to minimize variance. The percentage of positive wells was used to estimate the lentiviral levels using a binomial distribution.
Sequencing sites of vector integration
The integration-site sequences were acquired using ligation-mediated PCR as described40–42. Bioinformatic analysis of the distribution of the integration sites, described in Supplementary Report, was carried out as previously described40–42. All primer and adaptor sequences were as previously described41.
Cytokine secretion
T cells were incubated with irradiated target cells at a ratio of 1:1 (1 × 106 cells per ml each) in cytokine-free medium. Supernatants were collected after 24 h to assess the cytokine production. The cytokine measurements were performed using a Luminex bead array platform (Life Technologies) according to the manufacturer’s instructions39.
Cytotoxicity assays
Cytotoxicity assays were performed using a 51Cr release-assay as previously described7. Briefly, Na251CrO4-labelled target cells were incubated with CAR T cells for 20 h at various effector:target ratios and placed into 96-well Lumaplates (PerkinElmer). The amount of 51Cr released from the labelled target cells was measured on a liquid scintillation counter (MicroBeta trilux, PerkinElmer). Target cells incubated in medium alone or with 1% SDS were used to determine the spontaneous or maximum 51Cr release. The percentage of specific lysis was calculated as follows: 100 × (experimental release c.p.m. − spontaneous release c.p.m.) / (maximum release c.p.m. − spontaneous release c.p.m.).
In vivo models
Xenograft models of leukaemia were used as previously reported33,65. Briefly, 6–10-week-old NOD-SCID γc−/− (NSG) mice, which lack an adaptive immune system, were obtained from Jackson Laboratories or bred in-house under a protocol approved by the Institutional Animal Care and Use Committees (IACUC) of the University of Pennsylvania. In all experiments, the animals were assigned to treatment/control groups using a randomized approach. The animals were injected via the tail vein with 2 × 106 Nalm6 or 1 × 106 MOLM14 cells expressing click beetle green luciferase and enhanced green fluorescent protein (eGFP) in 0.1 ml sterile PBS. CAR T cells or NTD human T cells were injected via the tail vein at the indicated dose in a volume of 100 µl 4 d after the injection with leukaemic cells. Given the inherent limitations of comparing cells that were frozen before adoptive transfer (d1) and directly infused cells (d9), the d1 and d9 cells were manufactured from different donors. The mice were given an intraperitoneal injection of 150 mg kg−1 d-luciferin (Caliper Life Sciences). Anaesthetized mice were imaged using a Xenogen IVIS Spectrum system (Caliper Life Science). The total flux was quantified using Living Image 4.4 (PerkinElmer). T-cell engraftment was defined as >1% human CD45+ cells in peripheral blood by flow cytometry. The animals were euthanized at the end of the experiment or when they met pre-specified end points according to the protocols, except for the AML model experiment, which was terminated due to a Coronavirus Disease 2019-related shutdown of research.
Reporting Summary
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
Supplementary information
Acknowledgements
We thank the University of Pennsylvania Cell and Vaccine Production Facility for technical support as well as the University of Pennsylvania Stem Cell and Xenograft Core and University of Pennsylvania Flow Cytometry Core and Human Immunology Core, which is supported by NIH grants nos AI045008 and CA016520, for providing de-identified human T cells. We thank J. K. Everett and A. M. Roche for their technical expertise. This work was supported in part through funding provided by Novartis Pharmaceuticals through a research alliance with the University of Pennsylvania (M.C.M.) as well as a St. Baldrick’s Foundation Scholar Award (S.G.), a National Blood Foundation Scientific Research Grant Award (S.G.), the Office of the Assistant Secretary of Defense for Health Affairs through the Peer Reviewed Cancer Research Program under award nos W81XWH-20-1-0417 (S.G.) and RO1CA226983 (R.S.O’C.).
Extended data
Source data
Author contributions
S.G. and M.C.M. designed the study. S.G., M.C.M., J.S.D., R.S.O’C., U.O’D., F.D.B. and S.I.G. provided conceptual guidance. S.G., J.S.D, R.S.O’C, S.N.-C., J.P., K.D.C., F.S., M.P., G.P., V.A.C., S.R. and J.L. performed the experiments. S.G. and M.C.M. analysed the data. S.G. and M.C.M. wrote the manuscript. R.S.O’C and J.S.D. read and made comments on the manuscript.
Peer review
Peer review information
Nature Biomedical Engineering thanks Bryon Johnson and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.
Data availability
The main data supporting the findings of this study are available within the article and its Supplementary Information. All raw data generated during the study are available from the corresponding authors on reasonable request. Source data are provided with this paper.
Competing interests
M.C.M. is an inventor on patent applications related to CAR technology (US patents 9,481,728 and 9,499,629 B2) and has received licencing royalties from the Novartis corporation. S.G. and M.C.M. are inventors on a patent application related to methods of manufacturing non-activated CAR T cells (provisional patent PCT/US2020/027734). The other authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Saba Ghassemi, Email: ghassemi@pennmedicine.upenn.edu.
Michael C. Milone, Email: milone@pennmedicine.upenn.edu
Extended data
is available for this paper at 10.1038/s41551-021-00842-6.
Supplementary information
The online version contains supplementary material available at 10.1038/s41551-021-00842-6.
References
- 1.Salter AI, Pont MJ, Riddell SR. Chimeric antigen receptor-modified T cells: CD19 and the road beyond. Blood. 2018;131:2621–2629. doi: 10.1182/blood-2018-01-785840. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Brudno JN, et al. T cells genetically modified to express an anti-B-cell maturation antigen chimeric antigen receptor cause remissions of poor-prognosis relapsed multiple myeloma. J. Clin. Oncol. 2018;36:2267–2280. doi: 10.1200/JCO.2018.77.8084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Cohen AD, et al. B cell maturation antigen-specific CAR T cells are clinically active in multiple myeloma. J. Clin. Investig. 2019;129:2210–2221. doi: 10.1172/JCI126397. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.D’Angelo SP, et al. Antitumor activity associated with prolonged persistence of adoptively transferred NY-ESO-1 (c259)T cells in synovial sarcoma. Cancer Discov. 2018;8:944–957. doi: 10.1158/2159-8290.CD-17-1417. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Raje N, et al. Anti-BCMA CAR T-cell therapy bb2121 in relapsed or refractory multiple myeloma. N. Engl. J. Med. 2019;380:1726–1737. doi: 10.1056/NEJMoa1817226. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Kalos M, et al. T cells with chimeric antigen receptors have potent antitumor effects and can establish memory in patients with advanced leukemia. Sci. Transl. Med. 2011;3:95ra73. doi: 10.1126/scitranslmed.3002842. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Ghassemi S, et al. Reducing ex vivo culture improves the antileukemic activity of chimeric antigen receptor (CAR) T cells. Cancer Immunol. Res. 2018;6:1100–1109. doi: 10.1158/2326-6066.CIR-17-0405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Berger C, et al. Adoptive transfer of effector CD8+ T cells derived from central memory cells establishes persistent T cell memory in primates. J. Clin. Investig. 2008;118:294–305. doi: 10.1172/JCI32103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Graef P, et al. Serial transfer of single-cell-derived immunocompetence reveals stemness of CD8+ central memory T cells. Immunity. 2014;41:116–126. doi: 10.1016/j.immuni.2014.05.018. [DOI] [PubMed] [Google Scholar]
- 10.Hinrichs CS, et al. Adoptively transferred effector cells derived from naive rather than central memory CD8+ T cells mediate superior antitumor immunity. Proc. Natl Acad. Sci. USA. 2009;106:17469–17474. doi: 10.1073/pnas.0907448106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Hinrichs CS, et al. Human effector CD8+ T cells derived from naive rather than memory subsets possess superior traits for adoptive immunotherapy. Blood. 2011;117:808–814. doi: 10.1182/blood-2010-05-286286. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Klebanoff CA, et al. Memory T cell-driven differentiation of naive cells impairs adoptive immunotherapy. J. Clin. Invest. 2016;126:318–334. doi: 10.1172/JCI81217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Crompton JG, et al. Akt inhibition enhances expansion of potent tumor-specific lymphocytes with memory cell characteristics. Cancer Res. 2015;75:296–305. doi: 10.1158/0008-5472.CAN-14-2277. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.van der Waart AB, et al. Inhibition of Akt signaling promotes the generation of superior tumor-reactive T cells for adoptive immunotherapy. Blood. 2014;124:3490–3500. doi: 10.1182/blood-2014-05-578583. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Gattinoni L, et al. Wnt signaling arrests effector T cell differentiation and generates CD8+ memory stem cells. Nat. Med. 2009;15:808–813. doi: 10.1038/nm.1982. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Gattinoni L, et al. A human memory T cell subset with stem cell-like properties. Nat. Med. 2011;17:1290–1297. doi: 10.1038/nm.2446. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Muralidharan S, et al. Activation of Wnt signaling arrests effector differentiation in human peripheral and cord blood-derived T lymphocytes. J. Immunol. 2011;187:5221–5232. doi: 10.4049/jimmunol.1101585. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Naldini L, et al. In vivo gene delivery and stable transduction of nondividing cells by a lentiviral vector. Science. 1996;272:263–267. doi: 10.1126/science.272.5259.263. [DOI] [PubMed] [Google Scholar]
- 19.Plesa G, et al. Addition of deoxynucleosides enhances human immunodeficiency virus type 1 integration and 2LTR formation in resting CD4+ T cells. J. Virol. 2007;81:13938–13942. doi: 10.1128/JVI.01745-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Swiggard WJ, et al. Human immunodeficiency virus type 1 can establish latent infection in resting CD4+ T cells in the absence of activating stimuli. J. Virol. 2005;79:14179–14188. doi: 10.1128/JVI.79.22.14179-14188.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Amirache F, et al. Mystery solved: VSV-G-LVs do not allow efficient gene transfer into unstimulated T cells, B cells, and HSCs because they lack the LDL receptor. Blood. 2014;123:1422–1424. doi: 10.1182/blood-2013-11-540641. [DOI] [PubMed] [Google Scholar]
- 22.Finkelshtein D, Werman A, Novick D, Barak S, Rubinstein M. LDL receptor and its family members serve as the cellular receptors for vesicular stomatitis virus. Proc. Natl Acad. Sci. USA. 2013;110:7306–7311. doi: 10.1073/pnas.1214441110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Agosto LM, et al. The CXCR4-tropic human immunodeficiency virus envelope promotes more-efficient gene delivery to resting CD4+ T cells than the vesicular stomatitis virus glycoprotein G envelope. J. Virol. 2009;83:8153–8162. doi: 10.1128/JVI.00220-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Pace MJ, Agosto L, O’Doherty U. R5 HIV env and vesicular stomatitis virus G protein cooperate to mediate fusion to naive CD4+ T cells. J. Virol. 2011;85:644–648. doi: 10.1128/JVI.01851-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Unutmaz D, KewalRamani VN, Marmon S, Littman DR. Cytokine signals are sufficient for HIV-1 infection of resting human T lymphocytes. J. Exp. Med. 1999;189:1735–1746. doi: 10.1084/jem.189.11.1735. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Cavalieri S, et al. Human T lymphocytes transduced by lentiviral vectors in the absence of TCR activation maintain an intact immune competence. Blood. 2003;102:497–505. doi: 10.1182/blood-2003-01-0297. [DOI] [PubMed] [Google Scholar]
- 27.Trinite B, Chan CN, Lee CS, Levy DN. HIV-1 Vpr- and reverse transcription-induced apoptosis in resting peripheral blood CD4 T cells and protection by common gamma-chain cytokines. J. Virol. 2016;90:904–916. doi: 10.1128/JVI.01770-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Verhoeyen E, et al. IL-7 surface-engineered lentiviral vectors promote survival and efficient gene transfer in resting primary T lymphocytes. Blood. 2003;101:2167–2174. doi: 10.1182/blood-2002-07-2224. [DOI] [PubMed] [Google Scholar]
- 29.Korin YD, Zack JA. Nonproductive human immunodeficiency virus type 1 infection in nucleoside-treated G0 lymphocytes. J. Virol. 1999;73:6526–6532. doi: 10.1128/JVI.73.8.6526-6532.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Rausell A, et al. Innate immune defects in HIV permissive cell lines. Retrovirology. 2016;13:43. doi: 10.1186/s12977-016-0275-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Descours B, et al. SAMHD1 restricts HIV-1 reverse transcription in quiescent CD4+ T-cells. Retrovirology. 2012;9:87. doi: 10.1186/1742-4690-9-87. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Pierson TC, et al. Molecular characterization of preintegration latency in human immunodeficiency virus type 1 infection. J. Virol. 2002;76:8518–8531. doi: 10.1128/JVI.76.17.8518-8513.2002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Milone MC, et al. Chimeric receptors containing CD137 signal transduction domains mediate enhanced survival of T cells and increased antileukemic efficacy in vivo. Mol. Ther. 2009;17:1453–1464. doi: 10.1038/mt.2009.83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Burnie, J. & Guzzo, C. The incorporation of host proteins into the external HIV-1 envelope. Viruses11, 85 (2019). [DOI] [PMC free article] [PubMed]
- 35.Eyquem J, et al. Targeting a CAR to the TRAC locus with CRISPR/Cas9 enhances tumour rejection. Nature. 2017;543:113–117. doi: 10.1038/nature21405. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Wilen, C. B., Tilton, J. C. & Doms, R. W. HIV: cell binding and entry. Cold Spring Harb. Perspect. Med. 2, a006866 (2012). [DOI] [PMC free article] [PubMed]
- 37.Brown MS, Goldstein JL. A receptor-mediated pathway for cholesterol homeostasis. Science. 1986;232:34–47. doi: 10.1126/science.3513311. [DOI] [PubMed] [Google Scholar]
- 38.Tran R, et al. Microfluidic transduction harnesses mass transport principles to enhance gene transfer efficiency. Mol. Ther. 2017;25:2372–2382. doi: 10.1016/j.ymthe.2017.07.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Maude SL, et al. Chimeric antigen receptor T cells for sustained remissions in leukemia. N. Engl. J. Med. 2014;371:1507–1517. doi: 10.1056/NEJMoa1407222. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Berry CC, et al. INSPIIRED: quantification and visualization tools for analyzing integration site distributions. Mol. Ther. Methods Clin. Dev. 2017;4:17–26. doi: 10.1016/j.omtm.2016.11.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Sherman E, et al. INSPIIRED: a pipeline for quantitative analysis of sites of new DNA integration in cellular genomes. Mol. Ther. Methods Clin. Dev. 2017;4:39–49. doi: 10.1016/j.omtm.2016.11.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Berry, C. C. et al. Estimating abundances of retroviral insertion sites from DNA fragment length data. Bioinformatics28, 755–762 (2012). [DOI] [PMC free article] [PubMed]
- 43.Nobles, C. L. et al. CD19-targeting CAR T cell immunotherapy outcomes correlate with genomic modification by vector integration. J. Clin. Invest. 130, 673–685 (2019). [DOI] [PMC free article] [PubMed]
- 44.Schroder AR, et al. HIV-1 integration in the human genome favors active genes and local hotspots. Cell. 2002;110:521–529. doi: 10.1016/S0092-8674(02)00864-4. [DOI] [PubMed] [Google Scholar]
- 45.Mitchell RS, et al. Retroviral DNA integration: ASLV, HIV, and MLV show distinct target site preferences. PLoS Biol. 2004;2:E234. doi: 10.1371/journal.pbio.0020234. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Wang GP, Ciuffi A, Leipzig J, Berry CC, Bushman FD. HIV integration site selection: analysis by massively parallel pyrosequencing reveals association with epigenetic modifications. Genome Res. 2007;17:1186–1194. doi: 10.1101/gr.6286907. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Brady T, et al. HIV integration site distributions in resting and activated CD4+ T cells infected in culture. AIDS. 2009;23:1461–1471. doi: 10.1097/QAD.0b013e32832caf28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Haining WN, et al. Antigen-specific T-cell memory is preserved in children treated for acute lymphoblastic leukemia. Blood. 2005;106:1749–1754. doi: 10.1182/blood-2005-03-1082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Halliwell B. Cell culture, oxidative stress, and antioxidants: avoiding pitfalls. Biomed. J. 2014;37:99–105. doi: 10.4103/2319-4170.128725. [DOI] [PubMed] [Google Scholar]
- 50.Zhang H, et al. 4-1BB is superior to CD28 costimulation for generating CD8+ cytotoxic lymphocytes for adoptive immunotherapy. J. Immunol. 2007;179:4910–4918. doi: 10.4049/jimmunol.179.7.4910. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Klebanoff CA, et al. Determinants of successful CD8+ T-cell adoptive immunotherapy for large established tumors in mice. Clin. Cancer Res. 2011;17:5343–5352. doi: 10.1158/1078-0432.CCR-11-0503. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Klebanoff, C. A. et al. Inhibition of AKT signaling uncouples T cell differentiation from expansion for receptor-engineered adoptive immunotherapy. JCI Insight2, e95103 (2017). [DOI] [PMC free article] [PubMed]
- 53.O’Doherty U, Swiggard WJ, Malim MH. Human immunodeficiency virus type 1 spinoculation enhances infection through virus binding. J. Virol. 2000;74:10074–10080. doi: 10.1128/JVI.74.21.10074-10080.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Baldauf HM, et al. SAMHD1 restricts HIV-1 infection in resting CD4+ T cells. Nat. Med. 2012;18:1682–1687. doi: 10.1038/nm.2964. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Mauney CH, Perrino FW, Hollis T. Identification of inhibitors of the dNTP triphosphohydrolase SAMHD1 using a novel and direct high-throughput assay. Biochemistry. 2018;57:6624–6636. doi: 10.1021/acs.biochem.8b01038. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Trobridge GD, et al. Cocal-pseudotyped lentiviral vectors resist inactivation by human serum and efficiently transduce primate hematopoietic repopulating cells. Mol. Ther. 2010;18:725–733. doi: 10.1038/mt.2009.282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Klebanoff CA, et al. Central memory self/tumor-reactive CD8+ T cells confer superior antitumor immunity compared with effector memory T cells. Proc. Natl Acad. Sci. USA. 2005;102:9571–9576. doi: 10.1073/pnas.0503726102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Pollok KE, Kim SH, Kwon BS. Regulation of 4-1BB expression by cell–cell interactions and the cytokines, interleukin-2 and interleukin-4. Eur. J. Immunol. 1995;25:488–494. doi: 10.1002/eji.1830250227. [DOI] [PubMed] [Google Scholar]
- 59.Lelek M, et al. Chromatin organization at the nuclear pore favours HIV replication. Nat. Commun. 2015;6:6483. doi: 10.1038/ncomms7483. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Wong RW, Mamede JI, Hope TJ. Impact of nucleoporin-mediated chromatin localization and nuclear architecture on HIV integration site selection. J. Virol. 2015;89:9702–9705. doi: 10.1128/JVI.01669-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Couzin-Frankel J. Supply of promising T cell therapy is strained. Science. 2017;356:1112–1113. doi: 10.1126/science.356.6343.1112. [DOI] [PubMed] [Google Scholar]
- 62.O’Connor RS, et al. Substrate rigidity regulates human T cell activation and proliferation. J. Immunol. 2012;189:1330–1339. doi: 10.4049/jimmunol.1102757. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.De Spiegelaere W, et al. Quantification of integrated HIV DNA by repetitive-sampling Alu-HIV PCR on the basis of poisson statistics. Clin. Chem. 2014;60:886–895. doi: 10.1373/clinchem.2013.219378. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Liszewski MK, Yu JJ, O’Doherty U. Detecting HIV-1 integration by repetitive-sampling Alu-gag PCR. Methods. 2009;47:254–260. doi: 10.1016/j.ymeth.2009.01.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Kenderian SS, et al. CD33-specific chimeric antigen receptor T cells exhibit potent preclinical activity against human acute myeloid leukemia. Leukemia. 2015;29:1637–1647. doi: 10.1038/leu.2015.52. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The main data supporting the findings of this study are available within the article and its Supplementary Information. All raw data generated during the study are available from the corresponding authors on reasonable request. Source data are provided with this paper.