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Senolytic CAR T cells reverse senescence-associated pathologies
Corina Amor
1Louis V.Gerstner, Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
2Department of Cancer Biology and Genetics, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Judith Feucht
3Center for Cell Engineering and Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Josef Leibold
2Department of Cancer Biology and Genetics, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Yu-Jui Ho
2Department of Cancer Biology and Genetics, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Changyu Zhu
2Department of Cancer Biology and Genetics, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Direna Alonso-Curbelo
2Department of Cancer Biology and Genetics, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Jorge Mansilla-Soto
3Center for Cell Engineering and Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Jacob A. Boyer
1Louis V.Gerstner, Jr. Graduate School of Biomedical Sciences, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
4Molecular Pharmacology and Chemistry Program, Memorial Sloan Kettering Cancer Center, New York, NY, 10065 USA.
Xiang Li
2Department of Cancer Biology and Genetics, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
5Weill Cornel Graduate School of Medical Sciences, New York, NY 10065, USA.
Theodoros Giavridis
3Center for Cell Engineering and Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Amanda Kulick
6Department of Molecular Pharmacology, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY, 10065 USA.
Shauna Houlihan
2Department of Cancer Biology and Genetics, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Ellinor Peerschke
7Department of Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Scott L. Friedman
8Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Vladimir Ponomarev
9Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Alessandra Piersigilli
10Laboratory of Comparative Pathology, Rockefeller University, Weill Cornell Medicine and Memorial Sloan Kettering Cancer Center, New York, NY, 10065 USA.
Michel Sadelain
3Center for Cell Engineering and Immunology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
Scott W Lowe
2Department of Cancer Biology and Genetics, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
11Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA.
AUTHOR CONTRIBUTIONS
C.A, J.F and J.L conceived the project, designed, performed and analyzed experiments and wrote the paper with assistance from all authors. Y.H assisted with analysis of RNA-seq data. C.Z, D.A.C, J.M.S, J.B, X.L, A.K, T.G performed and analyzed experiments. A.P performed histopathological toxicity analysis. S.L.F provided human liver samples, analyzed data and reviewed the manuscript. E.P provided human carotid endarterectomy samples and reviewed the manuscript. V.P helped with T cell imaging studies. M.S and S.W.L conceived the project, supervised experiments and wrote the paper. All authors read and approved of the paper.Abstract
Cellular senescence is characterized by stable cell cycle arrest and a secretory program that modulates the tissue microenvironment1,2. Physiologically, senescence serves as a tumor suppressive mechanism that prevents the expansion of premalignant cells3,4 and plays a beneficial role in wound healing responses5,6. Pathologically, the aberrant accumulation of senescent cells generates an inflammatory milieu that leads to chronic tissue damage and contributes to diseases such as liver and lung fibrosis, atherosclerosis, diabetes, and osteoarthritis1,7. Accordingly, elimination of senescent cells from damaged tissues in mice ameliorates symptoms of these pathologies and even promotes longevity1,2,8–10. Here we test the therapeutic concept that chimeric antigen receptor (CAR) T cells targeting senescent cells can be effective senolytics. We identify the urokinase plasminogen activator receptor (uPAR)11 as a cell surface protein broadly induced during senescence and demonstrate that uPAR-specific CAR T cells efficiently ablate senescent cells in vitro and in vivo. uPAR-directed CAR T cells extend the survival of mice harboring lung adenocarcinoma treated with a senescence-inducing drug combination, and restore tissue homeostasis in chemical- or diet-induced liver fibrosis. These results establish the therapeutic potential of senolytic CAR T cells for senescence-associated diseases.
Given the contribution of senescence to tissue damage, there is growing interest in the development of ‘senolytic’ agents that selectively eliminate senescent cells12. Several small molecules display such activity, but most lack potency and produce substantial side effects1,12,13. An alternative approach could involve CAR T cells directed against senescence-specific surface antigens. CARs are synthetic receptors that redirect T cell specificity, effector potential and other functions14. CAR T cells targeting CD19 have shown remarkable efficacy in patients with refractory B-cell malignancies15 and other cell-surface antigens show promise as targets for CAR therapy in other indications16–18. Here we investigate whether CAR T cells could serve as senolytic agents.
To identify cell surface proteins that are broadly and specifically upregulated in senescent cells, we compared RNAseq datasets derived from three independent and robust models of senescence: 1) Therapy-induced senescence (TIS) in murine lung adenocarcinoma KrasG12D;p53−/− (KP) cells triggered to senesce by the combination of MEK and CDK4/6 inhibitors19; 2) Oncogene-induced senescence (OIS) in murine hepatocytes mediated by in vivo delivery of NRASG12V through hydrodynamic tail vein injection (HTVI)4; and 3) Culture-induced senescence of murine hepatic stellate cells (HSCs) (Extended Data Fig. 1a). We focused on transcripts encoding molecules located in the plasma membrane as determined by UniProtKB that were upregulated in all datasets (Extended Data Fig. 1b, ,c).c). 8 transcripts were identified, each encoding proteins linked to extracellular matrix remodeling or the coagulation cascade (Extended Data Fig. 1 d).
Given that ideal antigens for CAR T cell engagement should be highly expressed on target cells but not vital tissues, we ranked each transcript according to its magnitude of upregulation (log2 fold change), and then excluded those highly expressed in vital tissues as determined by the Human Protein Atlas (HPA) and Human Proteome Map (HPM)20. This process identified PLAUR, which encodes the urokinase plasminogen activator receptor (uPAR), as a suitable candidate (Extended Data Fig. 1e). Accordingly, PLAUR was also upregulated in public datasets of senescent human cells19,21 and immunohistochemistry confirmed that uPAR protein was absent in many vital organs (Extended Data Fig. 1g, ,f).f). Consistent with previous reports, low uPAR expression was detected in the brochial epithelium. Other cell types that express uPAR include subsets of monocytes, macrophages and neutrophils11,22.
uPAR is the receptor for urokinase-type plasminogen activator (uPA), which promotes the degradation of the extracellular matrix during fibrinolysis, wound healing or tumorigenesis11. uPAR also functions as a signaling receptor that promotes motility, invasion and survival of tumor cells11. Nonetheless, mice lacking uPAR are viable and fertile23. A portion of uPAR is proteolytically cleaved upon ligand binding, generating soluble uPAR (suPAR). Interestingly, suPAR is secreted by senescent cells as part of the senescence-associated secretory phenotype (SASP)24 and serves as a serum biomarker for kidney disease and diabetes25, two chronic pathologies linked to senescence25.
We next confirmed that uPAR was induced on the surface of senescent cells in vitro and in vivo. First, we evaluated therapy-induced senescence in KP lung cancer cells treated with combined MEK and CDK4/6 inhibition and replication-induced senescence in human primary melanocytes (Fig. 1a, ,b,b, Extended Data Fig. 2a, ,b).b). In both models, cell surface uPAR expression and suPAR were markedly increased upon senescence induction (Fig. 1 a, ,b).b). Second, we examined a patient-derived xenograft (PDX) model of non-small cell lung cancer (NSCLC), in which mice were treated with combined MEK and CDK4/6 inhibitors19 (Fig. 1c) and two different models of oncogene-induced senescence triggered either by overexpression of NrasG12V in murine hepatocytes transfected via hydrodynamic tail vein injection (Fig. 1d, Extended Data Fig. 2c–e) or by endogenous KrasG12D expression in a murine model of senescent pancreatic intraepithelial neoplasia (PanIN) (Extended Data Fig. 2f–i). Finally, we included a mouse model of carbon tetrachloride (CCl4)-induced liver fibrosis, in which senescent HSCs contribute to the pathophysiology (Fig. 1e, Extended Data Fig. 2j–m)6. In each system, the senescence-inducing treatment increased the amount of uPAR-positive cells and serum suPAR levels. Notably, uPAR-positive cells did not express the proliferation marker Ki67, but co-expressed IL6, an established SASP component1,2.
We next confirmed that uPAR is highly expressed in tissues from patients affected by senescence-associated disorders. High uPAR expression was observed in liver fibrosis specimens from different etiologies. uPAR positive cells showed the same histological presentation as SA-β-gal positive cells and co-expressed the senescence-associated markers p16 and IL6 (Extended Data Fig. 3a, ,b).b). uPAR was also highly expressed in atherosclerotic plaques from human carotid endarterectomy specimens and in PanIN lesions (Extended Data Fig. 3c, ,d).d). Increased uPAR and/ or suPAR levels have furthermore been noted in patients with other senescence-associated diseases including osteoarthritis, diabetes or idiopathic pulmonary fibrosis26–28. Collectively, these results nominate uPAR as a candidate target for senolytic CAR T cells.
We constructed a uPAR-specific CAR comprising an anti murine uPAR (m.uPAR) single chain variable fragment linked to human CD28 costimulatory and CD3ζ (h.28z) signaling domains (m.uPAR-h.28z), transduced human T cells, and performed cytotoxicity assays using target cells expressing a murine uPAR cDNA (Extended Data Fig. 4a–d). To enable comparisons to well-characterized CAR T cells directed against CD1929, murine uPAR was introduced into the human CD19+ pre-B acute lymphoblastic leukemia cell line (B-ALL) NALM6 (Extended Data Fig. 4c). m.uPAR-h.28z CAR T cells showed no cytotoxicity towards uPAR negative NALM6 cells, but comparable activity to CD19 CAR (h.19-h.28z) T cells when targeting uPAR-expressing NALM6 cells (Fig. 2a, Extended Data Fig. 4d). m.uPAR-h.28z, but not h.19-h.28z, CAR T cells efficiently eliminated senescent KP cells expressing endogenous uPAR, which was accompanied by antigen-specific granzyme B and IFNγ secretion (Fig. 2b, Extended Data Fig. 4e). Hence, m.uPAR-h.28z CAR T cells can selectively and efficiently target senescent cells.
To study whether m.uPAR-h.28z CAR T cells could function as a bona fide senolytics in vivo, we took advantage of the well-characterized model of oncogene-induced senescence triggered by hepatic overexpression of NRASG12V-Luciferase used above4. While these senescent cells normally undergo SASP-mediated immune clearance4, they are retained in livers of immunodeficient NOD-Scid-gamma (NSG) mice4. Successful transfection of murine hepatocytes in NSG mice was confirmed by bioluminescence imaging and followed by administration of 0.5×106 m.uPAR-h.28z CAR+ T cells or untransduced (UT) T cells as controls (Extended Data Fig. 4f).
Treatment with m.uPAR-h.28z CARs led to a profound decrease in bioluminescence signal within 10 days (Fig. 2c), suggesting effective clearance of senescent hepatocytes. Histological analyses confirmed that livers from m.uPAR-h.28z CAR T cell treated mice had significantly reduced numbers of NRAS (p<0.01) and SA-β-gal positive cells (p<0.001) compared to controls (Fig. 2d, ,e).e). Furthermore, m.uPAR-h.28z CAR T cells (but not UT T cells) accumulated around senescent hepatocytes within 7 days of infusion (Fig. 2f) and displayed an effector memory phenotype (CD62L−CD45RA−) with little evidence of T cell exhaustion (<2% PD1+TIM3+LAG3+ CAR T cells) 15 days after their administration (Fig. 2g, ,h).h). Therefore, uPAR-28z CAR T cells can eliminate senescent cells in vivo.
To evaluate the senolytic capacity of uPAR CAR T cells in immunocompetent settings, we transduced T cells derived from C57BL/6 mice with a fully murinized CAR (m.uPAR-m.28z). We confirmed CAR expression, excluded uPAR expression on transduced T cells, and showed that they displayed a similar cytolytic profile to m.uPAR-h.28z when targeting the mouse CD19+ B-ALL cell line Eμ-ALL01 expressing exogenous uPAR or senescent KP cells (Fig. 3a, ,b,b, Extended Data Fig. 4g, ,hh).
Prior studies suggest that the combination of a senescence-inducing cancer therapy together with a senolytic agent can improve treatment outcome in mouse models30. We thus treated mice harboring orthotopic KP lung adenocarcionomas with combined MEK and CDK4/6 inihibitors19 followed by administration of either uPAR- or CD19-specific CAR T cells or UT T cells (Extended Data Fig. 5a). Treatment with uPAR-targeted CAR T cells significantly prolonged survival without eliciting signs of toxicity (Extended Data Fig. 5b–d). Lungs harvested from these mice showed a substantial decrease in senescent tumor cells accompanied by enhanced infiltration of adoptively transferred CD4+ and CD8+ T cells expressing activation markers (Extended Data Fig. 5e, ,f).f). In addition to confirming the senolytic properties of uPAR-directed CAR T cells, these results point towards combinatorial strategies using senolytic CAR T cells for the treatment of solid tumors.
Besides cancer, senescence contributes to a range of chronic tissue pathologies including liver fibrosis, a condition that can evolve into cirrhosis and produces a microenvironment that favors hepatocellular carcinoma development1,2. Since genetic ablation of senescent cells ameliorates liver fibrosis31,32, we performed dose-escalation studies using m.uPAR-m.28z CAR T cells in the well-defined model involving CCl4 exposure, which leads to the accumulation of senescent HSCs, fibrosis, and liver damage within 6 weeks6. m.uPAR-m.28z, m.19-m.28z CARs or UT T cells were infused at either the previously effective dose of 0.5–1×106 CAR T cells or higher dosage (2–3×106) into mice with established liver fibrosis33 (Extended Data Fig. 6a). In some experiments, mice were treated with either m.uPAR-m.28z, m.19.-m.28z or control T cells expressing click-beetle red luciferase to track T cells in vivo using bioluminescence34 (Extended Data Fig. 6b).
At either dosage, m.uPAR-m.28z CAR T cells produced a striking reduction in liver fibrosis. Hence, liver samples obtained 20 days after treatment with m.uPAR-m.28z CAR T cells displayed fewer senescent cells and less fibrosis as assessed by SA-β-Gal and Sirius red staining compared to controls (p<0.001), which was associated with an accumulation of adoptively transferred T cells (Fig. 3c, Extended Data Fig. 6c,,d).d). Consistent with on-target activity and a therapeutic benefit, mice treated with m.uPAR-m.28z CAR T cells displayed reduced serum levels of suPAR and of the liver enzymes ALT and AST (Fig. 3d–f, Extended Data Fig. 6e–g), indicating efficient elimination of pro-inflammatory senescent HSCs31,32 and a reduction in liver damage, respectively. Bioluminescence imaging revealed that transferred T cells initially transited through the lungs as expected. Eventually, m.uPAR-specific, but not m.CD19-directed CARs or UT T cells, accumulated in the livers of CCl4-treated mice, showing expansion over a few days followed by rapid contraction (Fig. 3g, ,h).h). The high senolytic activity of uPAR CAR T cells was corroborated by efficient reduction of fibrosis under aggravated conditions produced by prolonged CCl4 exposure as well as sustained fibrosis resolution in long-term follow up studies (Extended Data Fig. 6h, ,ii).
Mice treated at the lower effective dose remained highly active and did not display observable signs of morbidity, changes in temperature or weight, or relevant alterations in cell blood counts (Extended Data Fig. 7a–c, ,e).e). Moderate macrophage infiltration was noted in the lungs after 20 days, which also occurred in mice treated with m.19-m.28z or UT T cells (Extended Data Fig. 7d). Mice treated at the supratherapeutic dose presented with hypothermia and weight loss, which was accompanied by a rise in serum cytokines including IL6, GM-CSF, G-CSF and IFNy (Extended Data Fig. 8a–e). Similar to CAR T cell-associated cytokine release syndrome (CRS)35,36, this early toxicity was transient, associated with local accumulation and activation of macrophages and could be mitigated by lower CAR T cell doses or CRS-prevention using IL6R and IL1R inhibitors (Extended Data Fig. 8f–i, Extended Data Fig. 9). Altogether, these findings indicate that appropriately-dosed uPAR-directed CAR T cells can deplete senescent cells without precipitating severe CRS-like symptoms and highlight the potential of short acting CD28/CD3z-based CAR T cells37 in senescence-associated indications.
We also tested whether uPAR-targeting CAR T cells could be effective against fibrosis induced by non-alcoholic steatohepatitis (NASH), a condition of growing incidence in which effective therapeutic options are lacking38. Although the contribution of cellular senescence to NASH pathology is poorly understood, its role in other fibrosis settings prompted us to test for the presence of senescent cells in two well-established murine NASH models. Indeed, senescent cells were prevalent around the fibrotic areas (Fig. 4a, Extended Data Fig. 10a) and co-expressed uPAR and either markers of HSCs (uPAR+ and desmin+) or macrophages (uPAR+ and F4/80+) (Fig. 4b). Accordingly, treatment of mice with diet-induced NASH using 0.5×106 m.uPAR-m.28z CAR T cells (but not UT controls) efficiently eliminated senescent cells, reduced fibrosis and improved liver function (as assessed by serum albumin levels) without eliciting detectable toxicity (Fig. 4c, ,d,d, Extended Data Fig. 10b–f). Thus, senolytic CAR T cells are effective against liver fibrosis of different etiologies.
Herein we identify uPAR as a protein broadly induced on the surface of senescent cells and show that uPAR CAR T cells can eliminate senescent cells in vitro and in vivo. Owing to its secretion, suPAR serves as a plasma biomarker to assess CAR T cell senolytic activity in vivo. In contrast to a previous report investigating uPAR as a target for CAR T cells in ovarian cancer39, our results provide proof-of-principle of the therapeutic potential of senolytic CAR T cells in senescence-associated pathologies. While further work is needed to determine whether uPAR-targeting CAR T cells have the required safety profile to be developed clinically, appropriately dosed senolytic CAR T cells can infiltrate the areas of senescence, efficiently target senescent cells, and produce a therapeutic benefit without notable toxicities in mice. Future iterations of this approach could target other cell surface molecules specific to particular senescence contexts, incorporate ‘safety switches40,41 or combinatorial strategies to maximize efficacy while minimizing side-effects14,41.
Unlike tumor cells, senescent cells do not divide or create an immunosuppressive microenvironment, and may present lesser barriers to the development of therapeutically efficacious CAR T cells18,42. Furthermore, the rapid waning of senolytic CAR T cells used in our studies soon after their therapeutic action may prove an attractive feature in reducing prolonged interference with beneficial aspects of senescence in normal tissue homeostasis while enabling readministration at later times. Beyond fibrosis, senescence has been linked to many disorders of chronic tissue damage associated with aging such as severe atherosclerosis, diabetes, or osteoarthritis10. Consequently, senolytic CAR T cells may have broad therapeutic potential.
METHODS
RNA-seq analysis
RNA extraction, RNA-seq library preparation and sequencing:
total RNA was isolated from: 1) KrasG12D; p53−/− cells after 8 days of treatment with vehicle (DMSO) or combined treatment with MEK inhibitor trametinib (25nM) and and CDK4/6 inhibitor palbociclib (500nM). 2) Oncogene-induced senescent hepatocytes were generated in C57BL/6 mice via hydrodynamic tail vein injection (HTVI). For each mouse, 25μg of pT3-Caggs-NRasG12V-IRES-GFP plasmids (or pT3-Caggs-NRasG12V;D38A-IRES-GFP plasmids as control) and 5μg CMV-SB13 were suspended in saline solution at the volume of 10% of the animal’s body weight for administration. Six days after HTVI, mice were anesthetized and placed on the platform for liver perfusion. Sequential perfusions of HBSS containing EGTA and HBSS containing Collagenase IV were performed, followed by passing the dissociated liver cells through a 100 μM cell strainer. The hepatocytes were further washed by low glucose DMEM and low speed centrifugation. DAPI-negative/GFP-positive hepatocytes, indicating successful transduction of mutant Nras expression, were isolated through low pressure fluorescence-activated cell sorting. 3) The datasets from senescent or proliferating hepatic stellate cells were obtained from a previous study. The datasets from proliferating, quiescent or senescent IMR-90 were obtained from a previous study21. Sequencing and library preparation were performed at the Integrated Genomics Operation (IGO) at MSKCC. RNA-seq libraries were prepared from total RNA. After RiboGreen quantification and quality control by Agilent BioAnalyzer, 100–500ng of total RNA underwent polyA selection and TruSeq library preparation according to instructions provided by Illumina (TruSeq Stranded mRNA LT Kit, RS-122–2102), with 8 cycles of PCR. Samples were barcoded and run on a HiSeq 4000 or HiSeq 2500 in a 50bp/50bp paired end run, using the HiSeq 3000/4000 SBS Kit or TruSeq SBS Kit v4 (Illumina) at MSKCC’s IGO core facility.
RNA-seq read mapping, differential gene expression analysis and heatmap visualization:
Resulting RNA-Seq data was analyzed by removing adaptor sequences using Trimmomatic43. RNA-Seq reads were then aligned to GRCm38.91 (mm10) with STAR44 and transcript count was quantified using featureCounts45 to generate raw count matrix. Differential gene expression analysis and adjustment for multiple comparisons were performed using DESeq2 package46 between experimental conditions, using 2 independent biological replicates per condition, implemented in R (http://cran.r-project.org/). Differentially expressed genes (DEGs) were determined by > 2-fold change in gene expression with adjusted P-value < 0.05. For heatmap visualization of DEGs, samples were z-score normalized and plotted using pheatmap package in R. Transcripts encoding molecules defined to be located in the plasma membrane with a confidence score higher than 3 (range 0–5) as determined by UniProtKB were considered as cell suface molecules.
Functional annotations of gene clusters:
Pathway enrichment analysis was performed in the resulting gene clusters with the Reactome database using enrichR47. Significance of the tests was assessed using combined score, described as c = log(p) * z, where c is the combined score, p is Fisher exact test p-value, and z is z-score for deviation from expected rank.
Cell lines and compounds
The following cell lines were used in this study: murine KRASG12D/+; Trp53−/− (KP) lung cancer cells (kindly provided by Tyler Jacks and expressing luciferase (Luc)-green fluorescent protein (GFP) as described19), NALM6 and Eμ-ALL01 cells expressing firefly luciferase (FFLuc)-GFP37. Cells were maintained in a humidified incubator at 37C with 5%CO2. KP cells were grown in DMEM supplemented with 10% FBS and 100IU/ml penicillin/streptomycin. NALM6 and Eμ-ALL01 cells were grown in complete medium composed of RPMI supplemented with 10% FBS, 1% L-glutamine, 1% MEM non-essential amino acids, 1% HEPES buffer, 1% sodium pyruvate, 0.1% beta-mercapto-ethanol and 100UI/ml penicillin/streptomycin. Human primary melanocytes were grown in dermal cell basal medium (ATCC, 200–030) supplemented with the adult melanocyte growth kit (ATCC, 200–042), 10% FBS and 100IU/ml penicillin/streptomycin. All cell lines used were negative for mycoplasma.
For drug-induced senescence experiments in vitro, trametinib (S2673) and palbociclib (S1116) were purchased from Selleck Chemicals and dissolved in DMSO to yield 10mM stock solutions, which were stored at −80C19. Cells were treated with MEK inhibitor (25nM) and CDK4/6 inhibitor (500nM). Growth medium was changed every 2 days. For in vivo experiments trametinib was dissolved in a 5% hydroxypropyl methylcellulose and 2% Tween-80 solution (Sigma) and palbociclib was dissolved in sodium lactate buffer (pH 4) (as published in19). Mice were treated with 1 mg per kg body weight of trametinib and 150mg per kg body weight of palbociclib as previously described19. Cerulein was purchased from Bachem. Anakinra was purchased from Sobi and administered intraperitoneally at a dose of 30mg per kg twice per day for 8 days starting 24h before CAR T cell transfer. Anti-m.IL-6R (clone MP5–20F3) was purchased from BioXcell and administered intraperitoneally once per day at 25 mg per kg body weight for the first dose and 12.5mg per kg body weight for subsequent doses for 8 days starting 24h before CAR T cell transfer as previously described35.
Senescence-associated beta galactosidase (SA-β-gal) staining
SA-β-Gal staining was performed as previously described19 at pH 6.0 for human cells and tissue and at pH 5.5 for mouse cells and tissue. Fresh frozen tissue sections or adherent cells plated in 6-well plates were fixed with 0.5% glutaraldehyde in PBS for 15 minutes, washed with PBS supplemented with 1mM MgCl2 and stained for 5–8 hours in PBS containing 1mM MgCl2, 1mg/ml X-Gal, 5mM potassium ferricyanide and 5mM potassium ferrocyanide. Tissue sections were counterstained with eosin. 5 high power fields per well/ section were counted and averaged to quantify the percentage of SA-β-Gal+ cells.
qRT-PCR
Total RNA was isolated using the RNeasy Mini Kit (Qiagen) and complementary DNA (cDNA) was obtained using TaqMan reverse transcription reagents (Applied Biosystems). Real-time PCR was performed in triplicates using SYBR green PCR master mix (Applied Biosystems) on the ViiA 7 Real-Time PCR System (Invitrogen). GAPDH or B-actin served as endogenous normalization controls for mouse and human samples.
Mice
All mouse experiments were approved by the Memorial Sloan Kettering Cancer Center (MSKCC) Internal Animal Care and Use Committee. All relevant animal use guidelines and ethical regulations were followed. Mice were maintained under specific pathogen-free conditions, and food and water were provided ad libitum. The following mice were used: C57BL/6N background, NOD-scid IL2Rgnull (NSG) mice (purchased from The Jackson laboratory) and B6.SJL-Ptrca/BoyAiTac (CD45.1 mice) (purchased from Taconic). Mice were female and/or male and were used at 8–12 weeks of age (5–7 weeks old for the xenograft experiments and 6–10 weeks old for T cell isolation) and were kept in group housing. Mice were randomly assigned to the experimental groups.
Transposon-mediated intrahepatic gene transfer
Transposon-mediated intrahepatic gene transfer was performed as previously described4. In short, 8–12 week-old C57BL/6J mice received a saline solution at a final volume of 10% of their body weight containing 30ug of total DNA composed of a 5:1 molar ratio of transposon-encoding vector (containing either the sequence for NrasG12V or the sequence for the GTPase dead form NrasG12V;D38A) to transposase encoding vector (Sleeping Beauty 13) through hydrodynamic tail vein injection (HTVI). For CAR T cell studies, NSG mice were intravenously injected with 0.5×106 human CAR+ T cells or untransduced T cells 10 days after HTVI and monitored by bioluminescence imaging usinig the IVIS Imaging System (PerkinElmer) with the Living Image software (PerkinElmer). At day 15 post CAR injection, mice were euthanized, livers were removed and used for further analysis.
Generation of murine Pancreatic Intraepithelial Neoplasias (PanIn)
The mice strain has been previously described48. To induce PanIn generation, KC;RIK (p48-Cre;RIK;LSLKrasG12D) male mice were treated with 8 hourly intraperitoneal injections of 80 μg/kg caerulein (Bachem) for 2 consecutive days. Mice were then harvested 21 weeks later and their pancreas used for further analysis. Age matched C;RIK mice injected with PBS were used as controls for normal pancreas.
In vivo induction of CCl4-induced liver fibrosis
C57BL/6N mice were treated twice a week with 12 consecutive intraperitoneal (i.p.) injections of 1ml/kg tetrachloride (CCl4) to induce liver fibrosis6,49. For murine CAR T cell studies, cyclophosphamide (200mg/kg) was administered 16–24 hours before T cell injection. Mice received 0.5–1 or 2–3×106 CAR+ T cells or untransduced T cells (same total T cell numbers) and CCl4 was continuously administered at the same dose and interval after T cell injection until day 20 post CAR injection, when animals were sacrificed 48–72h after the last CCl4 injection. Blood was collected by facial vein puncture or cardiac puncture.
In vivo induction of NASH-induced liver fibrosis.
C57BL/6N mice were fed with NASH diet (Teklad. TD.160785 which contains 10.2% kcal from protein, 37.3% kcal from carbohydrate and 52.6% kcal from fat) and fructose containing drinking water (23.1g of fructose and 18.9 g of glucose dissolved in 1 liter of water and then filter sterilized) at 8–10 weeks of age50,51. Body weight was measured weekly. For murine CAR T cell studies, cyclophosphamide (200mg/kg) was administered 16 hours before T cell injection. Mice received 0.5 CAR+ T cells or untransduced T cells (same total T cell numbers) and they received the same NASH diet until day 20 post CAR injection when they were euthanized. Blood was collected by facial vein puncture or cardiac puncture.
For the STAM model52, liver tissue samples (unstained slides for immunohistochemistry) were purchased from SMC laboratories.
Patient-derived xenografts
Experiments with patient-derived xenografts were performed as described19, using 5–7 week-old female NSG mice. MSK-LX27 was derived from a lung adenocarcinoma harboring KRASG12D and p53 mutations and a deletion in CDKN2A and was cut into pieces and inserted in the subcutaneous space. Mice were monitored daily, weighed twice weekly and caliper measurements begun when tumors became visible. Tumors were measured using the formula: tumor volume = (D × d2)/2 and when they reached a size of 100–200 mm3, mice were randomized based on starting tumor volume and treated with vehicle or trametinib (3 mg/kg body weight) and palbociclib (150mg/kg body weight) per os for 4 consecutive days followed by 3 days off treatment. Experimental endpoints were achieved when tumors reached a size of 2000mm3 or became ulcerated. Tumors were harvested at the experimental endpoint and tissue was divided evenly for 10% formalin fixation and OCT frozen blocks.
Patient samples
De-identified human samples from liver biopsies of patients with liver fibrosis from viral (HBV or HCV), alcoholic and non-alcoholic fatty liver disease were obtained through the Department of Pathology at Mount Sinai Hospital, New York, NY. Human pancreatic intraepithelial neoplasia samples (PanINs) were obtained through the Department of Pathology at Memorial Sloan-Kettering. Human atherosclerosis samples were obtained through the Department of Pathology, Weill Medical College of Cornell University, New York, NY. All human studies comply with all relevant guidelines and ethical regulations and were approved by Mount Sinai, or Weill Medical College of Cornell University or Memorial Sloan-Kettering Institutional Review Board.
Histological analysis
Tissues were fixed overnight in 10% formalin, embedded in paraffin, and cut into 5μm sections. Sections were subjected to hematoxylin and eosin staining, and to Sirius red staining for fibrosis detection. For fibrosis quantification, at least three whole sections from each animal were scanned and the images were quantified using NIH ImageJ software. The amount of fibrotic tissue was calculated relative to the total analyzed liver area as previously described. Immunohistochemical and immunofluorescence stainings were performed following standard protocols. The following primary antibodies were used:), huPAR (R&D. AF807 Lot.BBS0318071. 1:50), muPAR (R&D. AF534 Lot.DCL0418021. 1:50), mNRAS (Santa Cruz. SC-31 Lot.A1020. 1:50), mSMA (abcam. Ab5694 Lot.{"type":"entrez-nucleotide","attrs":{"text":"GR283004","term_id":"239841147","term_text":"GR283004"}}GR283004–16. 1:50), mKATE (Evrogen. ab233 Lot.23301201267. 1:1000), hCD3 (abcam. ab5690 Lot.GR3220039–4. 1:100), myc-tag (Cell Signaling. 2276S Lot.24. 1:50), mKi-67 (abcam, ab16667 Lot.GR3305281–1. 1:200), mIL-6 (abcam. ab6672 Lot.GR3195128–19. 1:50), p16-INK4A (Proteintech. 10883–1-AP Lot.00057396. 1:50), mP-ERKT202/Y204 (Cell Signaling.4370 Lot.15. 1:800), desmin (ThermoFisher Scientific . RB-9014 Lot.9014p1806Q. 1:200), AF488 donkey anti-rabbbit (Invitrogen. A21206 Lot.1874771. 1:500), AF488 donkey anti-mouse (Invitrogen. A21202 Lot.1820538. 1:500), AF594 donkey anti-rabbit (Invitrogen. A21207 Lot.1602780. 1:500), AF594 donkey anti-mouse (Invitrogen A21203 Lot.1163390. 1:500), AF594 donkey anti-goat (Invitrogen. A11058 Lot.2045324. 1:500), AF594 goat anti-rat (Invitrogen A11007 Lot.1903506. 1:500).
Flow cytometry
For analysis of uPAR expression in cell lines upon induction of senescence, KP cells were treated with trametinib (25nM) and palbociclib (500nM) or with vehicle (DMSO), and human primary melanocytes were continuously passaged for 15 passages and then trypsinized, resuspended in PBS supplemented with 2%FBS and stained with the following antibodies for 30 minutes on ice: PE-conjugated anti-mouse uPAR antibody (R&D. FAB531P) or APC-conjugated anti-human uPAR antibody (Thermo Fisher S.17–3879-42). The following fluorophore-conjugated antibodies were used for in vitro and in vivo experiments in the indicated dilutions (‘h’ prefix denotes anti-human, ‘m’ prefix denotes anti-mouse): hCD45 APC-Cy7 (clone 2D1, BD, #557833, Lot: 9081815, 1:100), hCD4 BUV395 (clone SK3, BD, #563550, Lot: 6252529, 1:100), hCD4 BV480 (clone SK3, BD, #566104, Lot: 8092993, 1:50), hCD62L BV421 (clone DREG-56, BD, #563862, Lot: 8194954, 1:100), hCD45RA BV650 (clone HI100, BD, #563963, Lot: 9057952, 1:100), hPD1 BV480 (clone EH12.1, BD, #566112, Lot: 8235507, 1:100), hCD19 BUV737 (clone SJ25C1, BD, #564303, Lot: 8130572, 1:100), hCD271 PE (clone C40–1457, BD, #557196, Lot: 7068641, 1:100), hIL2 PE-Cy7 (clone MQ1–17H12, Invitrogen, #25–7029-42, Lot: 4336863, 1:50), hTNFa BV650 (clone Mab11, BD, #563418, Lot: 7082880, 1:50), hIFNg BUV395 (clone B27, BD, #563563, Lot: 6320836, 1:50) hTIM3 BV785 (clone F38–2E2, Biolegend, #345032, Lot: B265346, 1:100), hCD8 PE-Cy7 (clone SK1, eBioscience, #25–0087-42, Lot: 2066348, 1:100), hCD8 APC-Cy7 (clone SK1, BD, #557834, Lot: 7110951, 1:50), hCD223 PerCP-eFluor710 (clone 3DS223H, eBioscience, #46–2239-42, Lot: 4321735, 1:100), hGrB APC (clone GB12, Invitrogen, #MHGB05, Lot: 1884625, 1:67), hMyc-tag AF647 (clone 9B11, Cell Signaling Technology, #2233S, Lot: 23, 1:50), hCD19 PB (clone SJ25-C1, Invitrogen, #MHCD1928, 1:100), hCD87 APC (clone VIM5, eBioscience, #17–3879-42, Lot: 17–3879-42, 1:50), hCD87 PerCp-eFluor710 (clone VIM5, eBioscience, #46–3879-42, Lot: 46–2239-42, 1:50), muPAR PE (R&D Systems, FAB531P, Lot: ABLH0419081, 1:50), muPAR AF700 (R&D Systems, FAB531N, Lot: 1552229, 1:50), mCD45.1 APC-Cy7 (clone A20, Biolegend, #110716, Lot: B285685, 1:200), m.CD45.1 BV785 (clone A20, Biolegend, #110743, Lot: B270183, 1:100), mCD45.2 PE (clone 104, Biolegend, #109808, Lot: B271929, 1:100), mCD45.2 AF700 (clone 104, Biolegend, #109822, Lot: B252126, 1:200), mSiglec-F PerCP-Cy5.5 (clone E50–2440, BD, #565526, Lot: 8232650, 1:200), mI-A/I-E BV605 (clone M5/114.15.2, Biolegend, #107639, Lot: B293222, 1:50), mF4/80 BV421 (clone: T45–2342, BD, #565411, Lot: 8330526, 1:200), mCD11b BUV395 (clone: M1/70, BD, #563553, Lot: 8339988, 1:200), mCD11c BV650 (clone: N418, Biolegend, #117339, Lot: B253523, 1:200), mLY6G BV510 (clone: 1A8, Biolegend, #127633, Lot: B266675, 1:200), mLY6G APC/Fire750 (clone: 1A8, Biolegend, #127652, Lot: B274284, 1:100), miNOS PE-Cy7 (clone: CXNFT, eBioscience, #25–5920-82, Lot: 2127491, 1:200), mCD19 PE (clone 1D3/CD19, Biolegend, #152408, Lot: B260181, 1:100), mCD25 BV605 (clone: PC61, Biolegend, #102035, Lot: B291215, 1:50), mCD69 PerCpCy5.5 (clone: H1.2F3, Biolegend, #104522, Lot: B244018, 1:100), mCD3 AF488 (clone: 17A2, Biolegend, #100210, Lot: B284975, 1:100), mCD4 BUV395 (clone: GK1.5, BD, #563790, Lot: 9101822, 1:50), mCD4 FITC (clone: GK1.5, BD, #553729, Lot: 9204449, 1:50), mCD8 PE-Cy7 (Clone: 53–6.7, Biolegend, #100722, Lot: B282418, 1:50), 7-AAD (BD, #559925, Lot: 9031655, 1:40), DAPI (Life technologies D1306), Fixable Viability Dye eFluor 506 (65–0866-14, eBioscience, Lot: 2095423, 1:200) and LIVE/DEAD Fixable Violet ({"type":"entrez-nucleotide","attrs":{"text":"L34963","term_id":"522206","term_text":"L34963"}}L34963, Invitrogen, Lot: 1985351, 1:100) were used as a viability dyes.
CAR staining was performed with Alexa Fluor 647 AffiniPure F(ab)2 Fragment Goat Anti-Rat IgG (Jackson ImmunoResearch, #112–6606-072). For cell counting, CountBright Absolute Counting Beads were added (Invitrogen) according to the manufacturer’s instructions. For in vivo experiments, Fc receptors were blocked using FcR Blocking Reagent, mouse (Miltenyi Biotec). For intracellular cytokine secretion assay, cells were fixed and permeabilized using Cytofix/Cytoperm Fixation/Permeabilization Solution Kit (BD Biosciences) or Intracelllar Fixation & Permeabilization Buffer Set Kit (eBioscience, #88–8824-00) according to the manufacturer’s instructions.
Flow cytometry was performed on a LSRFortessa instrument (BD Biosciences) or Cytek Aurora (CYTEK) and data were analyzed using FlowJo (TreeStar).
For in vivo sample preparation, livers were dissociated using MACS Miltenyi Biotec liver dissociation kit (130–1-5–807), filtered through a 100μm strainer, washed with PBS, and red blood cell lysis was achieved with an ACK (Ammonium-Chloride-Potassium) lysing buffer (Lonza). Cells were washed with PBS, resuspended in FACS buffer and used for subsequent analysis. Lungs were minced and digested with 1mg/ml collagenase type IV and DNase type IV in RPMI at 37C and 200rpm for 45 minutes, filtered through 100μm strainer, washed with PBS, and red blood cell lysis was achieved with an ACK lysing buffer (Lonza). Cells were washed with PBS, resuspended in FACS buffer and used for subsequent analysis. For bone marrow samples, tibia and femurs were mechanically disrupted with a mortar in PBS/2mM EDTA, filtered through 40μm strainer, washed with PBS/2mM EDTA and red blood cell lysis was achieved with an ACK lysing buffer (Lonza). Cells were washed with PBS/2mM EDTA, resuspended in FACS buffer and used for subsequent analysis. Spleens were mechanically disrupted with the back of a 5-ml syringe, filtered through 40μm strainer, washed with PBS/2mM EDTA and red blood cell lysis was achieved with an ACK lysing buffer (Lonza). Cells were washed with PBS/2mM EDTA, resuspended in FACS buffer and used for subsequent analysis.
Cytokine measurements
Serum cytokines were measured using cytometric bead arrays (BD) as per the manufacturer’s instructions.
Detection of suPAR levels
suPAR levels from cell culture supernatant or murine plasma were evaluated by enzyme-linked immunosorbent assay (ELISA) according to the manufacturer’s protocol (R&D systems, DY531 (mouse) or DY807 (human)).
Liver function tests
Serum alanine aminotransferase (ALT), aspartate aminotransferase (AST) and albumin levels in murine serum were measured according to the manufacturer’s protocol, using the EALT-100 (ALT), EASTR-100 (AST) and DIAG-250 (albumin) kits from BioAssay systems.
Isolation, expansion and transduction of human T cells
All blood samples were handled following the required ethical and safety procedures. Peripheral blood was obtained from healthy volunteers and buffy coats from anonymous healthy donors were purchased from the New York Blood Center. Peripheral blood mononuclear cells were isolated by density gradient centrifugation. T cells were purified using the human Pan T Cell Isolation Kit (Miltenyi Biotec), stimulated with CD3/CD28 T cell activator Dynabeads (Invitrogen) as described37 and cultured in X-VIVO 15 (Lonza) supplemented with 5% human serum (Gemini Bio-Products), 5ng/ml interleukin-7 and 5ng/ml interleukin-15 (PeproTech). T cells were enumerated using an automated cell counter (Nexcelom Bioscience).
48 hours after initiating T cell activation, T cells were transduced with retroviral supernatants by centrifugation on RetroNectin-coated plates (Takara). Transduction efficiencies were determined 4 days later by flow cytometry and CAR T cells were adoptively transferred into mice or used for in vitro experiments.
Isolation, expansion and transduction of mouse T cells
B6.SJL-Ptrca/BoyAiTac mice (CD45.1 mice) were euthanized and spleens were harvested. Following tissue dissection and red blood lysis, primary mouse T cells were purified using the mouse Pan T cell Isolation Kit (Miltenyi Biotec). Purified T cells were cultured in RPMI-1640 (Invitrogen) supplemented with 10% fetal bovine serum (FBS; HyClone), 10 mM HEPES (Invitrogen), 2 mM L-glutamine (Invitrogen), MEM nonessential amino acids 1× (Invitrogen), 55 uM β-mercaptoethanol, 1 mM sodium pyruvate (Invitrogen), 100 IU/ mL of recombinant human IL-2 (Proleukin; Novartis) and mouse anti-CD3/28 Dynabeads (Gibco) at a bead:cell ratio of 1:2. T cells were spinoculated with retroviral supernatant collected from Phoenix-ECO cells 24 hours after initial T cell expansion as described33,53 and used for functional analysis 3–4 days later.
Genetic modification of T cells
The human and murine SFG γ-retroviral m.uPAR-28ζ plasmids were constructed by stepwise Gibson Assembly (New England BioLabs) using the SFG-1928ζ backbone as previously described29,54–56. The amino acid sequence for the single-chain variable fragment (scFv) specific for mouse uPAR was obtained from the heavy and light chain variable regions of a selective monoclonal antibody against mouse uPAR (R&D.MAB531–100) through Mass Spectometry performed by Bioinformatics Solutions,Inc. In the human SFG-m.uPAR-h28z CARs, the m.uPAR scFv is thus preceded by a human CD8a leader peptide and followed by CD28 hinge-transmembrane-intracellular regions, and CD3ζ intracellular domains linked to a P2A sequence to induce coexpression of truncated low-affinity nerve growth factor receptor (LNGFR). In the mouse SFG-m.uPAR-m28z CARs, the m.uPAR scFv is preceded by a murine CD8a leader peptide and followed by the Myc-tag sequence (EQKLISEEDL), murine CD28 transmembrane and intracellular domain and murine CD3ζ intracellular domain33.
Plasmids encoding the SFGγ retroviral vectors were used to transfect gpg29 fibroblasts (H29) in order to generate VSV-G pseudotyped retroviral supernatants, which were used to construct stable retroviral-producing cell lines as described29,33. For T cell imaging studies, murine T cells were transduced with retroviral supernatants encoding SFG-green fluorescent protein (GFP)/ click beetle red luciferase (CBRluc)57.
Cytotoxicity assays
The cytotoxicity of CAR T cells was determined by standard luciferase-based assays or by calcein-AM based cytotoxicity assays. For luciferase-based assays, target cells expressing firefly luciferase (FFLuc-GFP) were co-cultured with T cells in triplicates at the indicated effector:target ratios using black-walled 96 well plates with 5×104 (for NALM6 and Eμ-ALL01) or 1.5×104 (for KP) target cells in a total volume of 100ul per well in RPMI or DMEM media, respectively. Target cells alone were plated at the same cell density to determine the maximal luciferase expression (relative light units (RLU)) and maximum release was determined by addition of 0.2% Triton-X100 (Sigma). 4 or 18 hours later, 100μl luciferase substrate (Bright-Glo; Promega) was directly added to each well. Emitted light was detected in a luminescence plate reader. Lysis was determined as (1-(RLUsample)/(RLUmax))×100. For calcein-AM based assays, target cells (NALM6) were loaded with 20μM calcein-AM (Thermo Fisher Scientific) for 30 minutes at 37C, washed twiced, and co-incubated with T cells in triplicates at the indicated effector:target ratios in 96 well-round-bottomed plates with 5×103 target cells in a total volume of 200ul per well in complete medium. Target cells alone were plated at the same cell density to determine spontaneous release and maximum release was determined by incubating the targets with 0.2% Triton-X100 (Sigma). After a 4-hours coculture, supernatants were harvested and free calcein was quantitated using a Spark plate reader (Tecan). Lysis was calculated as: ((experimental release – spontaneous release)/(maximum release – spontaneous release))x100.
Statistical analysis and figure preparation
Data are presented as means±s.e.m. or means±s.d. Statistical analysis was performed by Student’s t-test using GraphPad Prism 6.0 or 7.0 (GraphPad Software). P-values <0.05 were considered to be statistically significant. Survival was determined using the Kaplan-Meier method. No statistical method was used to predetermine sample size in animal studies. Animals were allocated at random to treatment groups. Figures were prepared using Biorender.com for scientific illustrations and Illustrator CC 2019 (Adobe).
Extended Data
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ACKNOWLEDGEMENTS
We thank A.Lujambio and R.Brody and the Biorepository and Pathology CoRE, Icahn School of Medicine at Mount Sinai for tissue samples, Gokce Askan and Olca Basturk at the Department of Pathology at Memorial Sloan Kettering Cancer Center for tissue samples, L. Zender and H. Chen for sharing plasmids, N. Salgado, H. Chen, T. Baslan, S. Tian, A. Wuest, W. Luan and G. Gunset for technical assistance, C.J. Sherr, E. de Stanchina, N. Kuhn, A. Dobrin, M.L. Sjöstrand and other members of the Lowe and Sadelain laboratories for insightful discussions. This work was supported by a grant for the National Institute of Aging (AG016379) to S.W.L. and the Pasteur-Weizmann/Servier award to M.S. as well as the Memorial Sloan Kettering Cancer Center Support grant (P30 CA008748) to both S.W.L. and M.S. laboratories. S.L.F. was supported by a grant from the National Institute of Diabetes and Digestive and Kidney diseases (RO156621); a grant from the Department of Defense (CA150272) and the P30 grant (CA165979). C.A. was supported by a postgraduate fellowship from La Caixa foundation and is the recipient of the Harold E. Varmus graduate student fellowship by the Gerstner Sloan Kettering graduate school. J.F. was supported by the Care-for-Rare Foundation and the German Research Foundation (DFG). J.L. was supported by a fellowship of the German Research Foundation (DFG) and a Shulamit Katzman Endowed Postdoctoral Research Fellowship. J.F. and J.L. are part of the Experimental Medicine Program at the University of Tuebingen. D.A.C. was supported by a postdoctoral fellowship from Fundacion Ramon Areces. J.B. was supported by the Grayer postgraduate fellowship and the Geoffrey Been graduate student fellowship from the Gerstner Sloan Kettering graduate school. A.K was supported by a grant from the National Cancer Institute (U54 0D020355-01). S.W.L. is the Geoffrey Been Chair of Cancer Biology and a Howard Hughes Medical Institute Investigator. We thank the following Memorial Sloan Kettering Cancer Center (MSKCC) core facilities for the excellent support: SKI Flow cytometry core facility, animal facility, antitumor assessment core, laboratory for comparative biology, bioinformatics core and integrated genomics operation core.
Footnotes
DATA AVAILABILITY
The RNA-seq data has been deposited in the Gene Expression Omnibus under the accession number {"type":"entrez-geo","attrs":{"text":"GSE145642","term_id":"145642"}}GSE145642. All other data supporting the findings of this study will be made available upon reasonable request to the corresponding author.
COMPETING INTERESTS
A patent application has been submitted based in part on results presented in this manuscript. C.A, J.F, J.L, M.S, S.W.L are listed as the inventors. J.F and M.S hold other unrelated patents on CAR technologies.