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An obstacle to the development of chimeric antigen receptor (CAR) T cells is the limited understanding of CAR T-cell biology and the mechanisms behind their antitumor activity. We and others have shown that CARs with a CD28 costimulatory domain drive high T-cell activation, which leads to exhaustion and shortened persistence. This work led us to hypothesize that by incorporating null mutations of CD28 subdomains (YMNM, PRRP, or PYAP), we could optimize CAR T-cell costimulation and enhance function. In vivo, we found that mice given CAR T cells with only a PYAP CD28 endodomain had a significant survival advantage, with 100% of mice alive after 62 days compared with 50% for mice with an unmutated endodomain. We observed that mutant CAR T cells remained more sensitive to antigen after ex vivo antigen and PD-L1 stimulation, as demonstrated by increased cytokine production. The mutant CAR T cells also had a reduction of exhaustion-related transcription factors and genes such as Nfatc1, Nr42a, and Pdcd1. Our results demonstrated that CAR T cells with a mutant CD28 endodomain have better survival and function. This work allows for the development of enhanced CAR T-cell therapies by optimizing CAR T-cell costimulation.

Supplemental Tables and Figures

Supplementary Figure S1. Transcriptomic analyses for molecular subtypes Supplementary Figure S2. Identification of the subtypes in LUSC TCGA cohort (n=431) Supplementary Figure S3. The genomic difference across subtypes in LUSC. Supplementary Figure S4. Estimation of Stromal and immune score and distribution of infiltrating immune cells for tumor and noncancer control sample in LUSC Supplementary Figure S5. The immune landscape and micro-environmental signature in LUSC TCGA cohort (n=431) Supplementary Figure S6. The dual roles of stroma are described by distinct gene expression patterns in tumor(subtype A and B) and noncancer control samples. Supplementary Figure S7. Distribution of infiltrating immune cells for tumor and noncancer control sample in LUSC Supplementary Figure S8. Distinct expression pattern of M1 and M2 signature genes in LUSC subtypes Supplementary Figure S9. Comparison of immune contents between subtypes in our LUSC cohort (n=101) and TCGA LUSC cohort (n=431) Supplementary Figure S10. Immune related pathways enriched for genes which have copy number variants. Supplementary Figure S11. Comparison of the LUSC expression subtypes with the previously defined subtypes Supplementary Figure S12. Clinical association analysis across subtypes Supplementary Figure S13. Survival analysis across subtypes

The clinical features of 101 LUSC patients enrolled in this study.

The immune microenvironment in lung squamous cell carcinoma (LUSC) is not well understood, with interactions between the host immune system and the tumor, as well as the molecular pathogenesis of LUSC, awaiting better characterization. To date, no molecularly targeted agents have been developed for LUSC treatment. Identification of predictive and prognostic biomarkers for LUSC could help optimize therapy decisions. We sequenced whole exomes and RNA from 101 tumors and matched noncancer control Korean samples. We used the information to predict subtype-specific interactions within the LUSC microenvironment and to connect genomic alterations with immune signatures. Hierarchical clustering based on gene expression and mutational profiling revealed subtypes that were either immune defective or immune competent. We analyzed infiltrating stromal and immune cells to further characterize the tumor microenvironment. Elevated expression of macrophage 2 signature genes in the immune competent subtype confirmed that tumor-associated macrophages (TAM) linked inflammation and mutation-driven cancer. A negative correlation was evident between the immune score and the amount of somatic copy-number variation (SCNV) of immune genes (r = −0.58). The SCNVs showed a potential detrimental effect on immunity in the immune-deficient subtype. Knowledge of the genomic alterations in the tumor microenvironment could be used to guide design of immunotherapy options that are appropriate for patients with certain cancer subtypes. Cancer Immunol Res; 6(7); 848–59. ©2018 AACR.

Noradrenaline levels in patients with grade 0, grade 1, grade 2 and grade 4 CRS respectively.

Purpose:One of the challenges of adoptive T-cell therapy is the development of immune-mediated toxicities including cytokine release syndrome (CRS) and neurotoxicity (NT). We aimed to identify factors that place patients at high risk of severe toxicity or treatment-related death in a cohort of 75 patients with large B-cell lymphoma treated with a standard of care CD19 targeted CAR T-cell product (axicabtagene ciloleucel).Experimental Design:Serum cytokine and catecholamine levels were measured prior to lymphodepleting chemotherapy, on the day of CAR T infusion and daily thereafter while patients remained hospitalized. Tumor biopsies were taken within 1 month prior to CAR T infusion for evaluation of gene expression.Results:We identified an association between pretreatment levels of IL6 and life-threatening CRS and NT. Because the risk of toxicity was related to pretreatment factors, we hypothesized that the tumor microenvironment (TME) may influence CAR T-cell toxicity. In pretreatment patient tumor biopsies, gene expression of myeloid markers was associated with higher toxicity.Conclusions:These results suggest that a proinflammatory state and an unfavorable TME preemptively put patients at risk for toxicity after CAR T-cell therapy. Tailoring toxicity management strategies to patient risk may reduce morbidity and mortality.

Supplementary tables and figure legends

Purpose:One of the challenges of adoptive T-cell therapy is the development of immune-mediated toxicities including cytokine release syndrome (CRS) and neurotoxicity (NT). We aimed to identify factors that place patients at high risk of severe toxicity or treatment-related death in a cohort of 75 patients with large B-cell lymphoma treated with a standard of care CD19 targeted CAR T-cell product (axicabtagene ciloleucel).Experimental Design:Serum cytokine and catecholamine levels were measured prior to lymphodepleting chemotherapy, on the day of CAR T infusion and daily thereafter while patients remained hospitalized. Tumor biopsies were taken within 1 month prior to CAR T infusion for evaluation of gene expression.Results:We identified an association between pretreatment levels of IL6 and life-threatening CRS and NT. Because the risk of toxicity was related to pretreatment factors, we hypothesized that the tumor microenvironment (TME) may influence CAR T-cell toxicity. In pretreatment patient tumor biopsies, gene expression of myeloid markers was associated with higher toxicity.Conclusions:These results suggest that a proinflammatory state and an unfavorable TME preemptively put patients at risk for toxicity after CAR T-cell therapy. Tailoring toxicity management strategies to patient risk may reduce morbidity and mortality.

The metabolic properties of tumor microenvironment (TME) are dynamically dysregulated to achieve immune escape and promote cancer cell survival. However, in vivo properties of glucose metabolism in cancer and immune cells are poorly understood and their clinical application to development of a biomarker reflecting immune functionality is still lacking. Methods: We analyzed RNA-seq and fluorodeoxyglucose (FDG) positron emission tomography profiles of 63 lung squamous cell carcinoma (LUSC) specimens to correlate FDG uptake, expression of glucose transporters (GLUT) by RNA-seq and immune cell enrichment score (ImmuneScore). Single cell RNA-seq analysis in five lung cancer specimens was performed. We tested the GLUT3/GLUT1 ratio, the GLUT-ratio, as a surrogate representing immune metabolic functionality by investigating the association with immunotherapy response in two melanoma cohorts. Results: ImmuneScore showed a negative correlation with GLUT1 (r = -0.70, p < 0.01) and a positive correlation with GLUT3 (r = 0.39, p < 0.01) in LUSC. Single-cell RNA-seq showed GLUT1 and GLUT3 were mostly expressed in cancer and immune cells, respectively. In immune-poor LUSC, FDG uptake was positively correlated with GLUT1 (r = 0.27, p = 0.04) and negatively correlated with ImmuneScore (r = -0.28, p = 0.04). In immune-rich LUSC, FDG uptake was positively correlated with both GLUT3 (r = 0.78, p = 0.01) and ImmuneScore (r = 0.58, p = 0.10). The GLUT-ratio was higher in anti-PD1 responders than nonresponders (p = 0.08 for baseline; p = 0.02 for on-treatment) and associated with a progression-free survival in melanoma patients who treated with anti-CTLA4 (p = 0.04). Conclusions: Competitive uptake of glucose by cancer and immune cells in TME could be mediated by differential GLUT expression in these cells.

BackgroundCo-stimulatory signals regulate the expansion, persistence, and function of chimeric antigen receptor (CAR) T cells. Most studies have focused on the co-stimulatory domains CD28 or 4-1BB. CAR T cell persistence is enhanced by 4-1BB co-stimulation leading to NF-κB signaling, while resistance to exhaustion is enhanced by mutations of the CD28 co-stimulatory domain.MethodsWe hypothesized that a third-generation CAR containing 4-1BB and CD28 with only PYAP signaling motif (mut06) would provide beneficial aspects of both. We designed CD19-specific CAR T cells with 4-1BB or mut06 together with the combination of both (BB06). We evaluated their immune-phenotype, cytokine secretion, real-time cytotoxic ability and polyfunctionality against CD19-expressing cells. We analyzed LCK recruitment by the different constructs by immunoblotting. We further determined their ability to control growth of Raji cells in NSG mice. Additionally, we engineered bi-specific CARs against CD20/CD19 combining 4-1BB and mut06 and performed repeated in vitro antigenic stimulation experiments to evaluate their expansion, memory phenotype and phenotypic (PD1+CD39+) and functional exhaustion. Bi-specific CAR T cells were transferred into Raji or Nalm6-bearing mice to study their ability to eradicate CD20/CD19-expressing tumors.ResultsCo-stimulatory domains combining 4-1BB and mut06 confers CAR T cells with an increased polyfunctionality and LCK recruitment to the CAR (figure 1A), after repeated-antigen stimulation these cells expanded significantly better than second-generation CAR T cells (figure 1B). A bi-specific CAR targeting CD20/CD19, incorporating 4-1BB and mut06 co-stimulation, showed enhanced antigen-dependent in vitro expansion with lower exhaustion-associated markers (figure 1C). Bi-specific CAR T cells exhibited improved in vivo anti-tumor activity with increased persistence and decreased exhaustion (figure 1D).Abstract 105 Figure 1A. pLCK is increased in h19BB06z CAR T cells and associated with the CAR. CAR T cells were stimulated with irradiated 3T3-hCD19 cells at a 10:1 E:T ratio for 24hr. Cells were lysed and CAR bound and unbound fractions were western blotted. A single-cell measure of polyfunctional strength index (PSI) of CAR T cells. B. h19BB06z CAR T cells have the highest proliferation after repeated antigen stimulations. 5x105 CAR T cells were stimulated with 1x105 irradiated 3T3-hCD19 cells. After 1 week, half of the cells were enumerated by flow cytometry and the other half was re-stimulated with 1x105 fresh irradiated 3T3-hCD19 cells. This was repeated for a total of 4 weeks. C. 5x105 CAR T cells were co-cultured with 5x105 target cells (Raji-CD19High). After 1 week half the cells were harvested enumerated and stained by flow cytometry while the other half was re-stimulated with 5x105 fresh target cells (indicated by arrows). This was repeated for a total of 4 weeks. Frequency of PD1+CD39+ cells within CD8+ CAR T cells. D. Raji-FFLuc-bearing NSG mice were treated with 1x106 CAR T cells 5 days after initial tumor cell injection. Tumor burden (average luminescence) of mice treated with bi-specific or monospecific CAR T cells, UT and tumor control. Each line represents an individual mouse. (n = 7 mice per group).ConclusionsThese results demonstrate that co-stimulation combining 4-1BB with an optimized form of CD28 is a valid approach to optimize CAR T cell function. Cells with both mono- and bi-specific versions of this design showed enhanced in vitro and in vivo features such as expansion, persistence and resistance to exhaustion. Our observations validate the approach and justify clinical studies to test the efficacy and safety of this CAR in patients.

With1 the advent of the next generation of computing, news is available in various environments anytime, anywhere. This is a positive aspect of rapid information sharing, but information with unclear sources was produced in a news format and quickly spread to the public through social network services. The concept of fake news, which began to draw attention as of the 2016 U.S. presidential election, is now causing many economic and social damage around the world. As a result, IT and the industry are paying attention to classifying fake news and active research is ongoing. Therefore, identifying fake news and obtaining accurate information is a very important area in the information age. In this paper, after analyzing the Fake News Dataset of the ISOT, an Information Security and Object Technology, two methods of weighting were used. Based on this, Soft Voting Classifier, an ensemble method that showed the highest performance when using TF-IDF values as weight, is proposed as a fake news classification model.

An obstacle to the development of chimeric antigen receptor (CAR) T cells is the limited understanding of CAR T-cell biology and the mechanisms behind their antitumor activity. We and others have shown that CARs with a CD28 costimulatory domain drive high T-cell activation, which leads to exhaustion and shortened persistence. This work led us to hypothesize that by incorporating null mutations of CD28 subdomains (YMNM, PRRP, or PYAP), we could optimize CAR T-cell costimulation and enhance function. In vivo, we found that mice given CAR T cells with only a PYAP CD28 endodomain had a significant survival advantage, with 100% of mice alive after 62 days compared with 50% for mice with an unmutated endodomain. We observed that mutant CAR T cells remained more sensitive to antigen after ex vivo antigen and PD-L1 stimulation, as demonstrated by increased cytokine production. The mutant CAR T cells also had a reduction of exhaustion-related transcription factors and genes such as Nfatc1, Nr42a, and Pdcd1. Our results demonstrated that CAR T cells with a mutant CD28 endodomain have better survival and function. This work allows for the development of enhanced CAR T-cell therapies by optimizing CAR T-cell costimulation.

The stress responsive transcription factor nuclear factor erythroid 2 p45-related factor 2, or NRF2, regulates the expression of many cytoprotective enzymes to mitigate oxidative stress under physiological conditions. NRF2 is activated in response to oxidative stress, growth factor signaling, and changes in nutrient status. In addition, somatic mutations that disrupt the interaction between NRF2 and its negative regulator Kelch-like erythroid cell-derived protein with CNC homology (ECH)-associated 1 (KEAP1) commonly occur in cancer and are thought to promote tumorigenesis. Recent Advances: While it is well established that aberrant NRF2 activation results in enhanced antioxidant capacity in cancer cells, recent exciting findings demonstrate a role for NRF2-mediated metabolic deregulation that supports cancer cell proliferation.In this review, we describe how the NRF2-KEAP1 signaling pathway is altered in cancer, how NRF2 is regulated by changes in cellular metabolism, and how NRF2 reprograms cellular metabolism to support proliferation.Future studies will delineate the NRF2-regulated processes critical for metabolic adaptation to nutrient availability, cellular proliferation, and tumorigenesis. Antioxid. Redox Signal. 00, 000-000.

The immune microenvironment in lung squamous cell carcinoma (LUSC) is not well understood, with interactions between the host immune system and the tumor, as well as the molecular pathogenesis of LUSC, awaiting better characterization. To date, no molecularly targeted agents have been developed for LUSC treatment. Identification of predictive and prognostic biomarkers for LUSC could help optimize therapy decisions. We sequenced whole exomes and RNA from 101 tumors and matched noncancer control Korean samples. We used the information to predict subtype-specific interactions within the LUSC microenvironment and to connect genomic alterations with immune signatures. Hierarchical clustering based on gene expression and mutational profiling revealed subtypes that were either immune defective or immune competent. We analyzed infiltrating stromal and immune cells to further characterize the tumor microenvironment. Elevated expression of macrophage 2 signature genes in the immune competent subtype confirmed that tumor-associated macrophages (TAM) linked inflammation and mutation-driven cancer. A negative correlation was evident between the immune score and the amount of somatic copy-number variation (SCNV) of immune genes (r = −0.58). The SCNVs showed a potential detrimental effect on immunity in the immune-deficient subtype. Knowledge of the genomic alterations in the tumor microenvironment could be used to guide design of immunotherapy options that are appropriate for patients with certain cancer subtypes. Cancer Immunol Res; 6(7); 848–59. ©2018 AACR.

BackgroundCo-stimulatory signals regulate the expansion, persistence, and function of chimeric antigen receptor (CAR) T cells. Most studies have focused on the co-stimulatory domains CD28 or 4-1BB. CAR T cell persistence is enhanced by 4-1BB co-stimulation leading to nuclear factor kappa B (NF-κB) signaling, while resistance to exhaustion is enhanced by mutations of the CD28 co-stimulatory domain.MethodsWe hypothesized that a third-generation CAR containing 4-1BB and CD28 with only PYAP signaling motif (mut06) would provide beneficial aspects of both. We designed CD19-specific CAR T cells with either 4-1BB or mut06 together with the combination of both and evaluated their immune-phenotype, cytokine secretion, real-time cytotoxic ability and polyfunctionality against CD19-expressing cells. We analyzed lymphocyte-specific protein tyrosine kinase (LCK) recruitment by the different constructs by immunoblotting. We further determined their ability to control growth of Raji cells in NOD scid gamma (NSG) mice. We also engineered bi-specific CARs against CD20/CD19 combining 4-1BB and mut06 and performed repeated in vitro antigenic stimulation experiments to evaluate their expansion, memory phenotype and phenotypic (PD1+CD39+) and functional exhaustion. Bi-specific CAR T cells were transferred into Raji or Nalm6-bearing mice to study their ability to eradicate CD20/CD19-expressing tumors.ResultsCo-stimulatory domains combining 4-1BB and mut06 confers CAR T cells with an increased central memory phenotype, expansion, and LCK recruitment to the CAR. This enhanced function was dependent on the positioning of the two co-stimulatory domains. A bi-specific CAR targeting CD20/CD19, incorporating 4-1BB and mut06 co-stimulation, showed enhanced antigen-dependent in vitro expansion with lower exhaustion-associated markers. Bi-specific CAR T cells exhibited improved in vivo antitumor activity with increased persistence and decreased exhaustion.ConclusionThese results demonstrate that co-stimulation combining 4-1BB with an optimized form of CD28 is a valid approach to optimize CAR T cell function. Cells with both mono-specific and bi-specific versions of this design showed enhanced in vitro and in vivo features such as expansion, persistence and resistance to exhaustion. Our observations validate the approach and justify clinical studies to test the efficacy and safety of this CAR in patients.

Online to offline (O2O) is an emerging type of e-commerce strategy that draws customers from online channels to complete purchases in offline stores. It is based on mobile services and interactions...

Information communication technology contains both a positive and negative side. This study investigates the negative side such as induced stress and its impacts on the productivity and quality of life of business workers. This study contributes to this area of research by focusing on social interactions and personal life after work hours in understanding the phenomenon of technostress. This study examines how social interaction stressors and personal life stressors are related to use of mobile instant messenger after work hours. The related strain is regarded as having a negative influence on productivity and quality of life. A model was proposed and tested using a web-based and offline (face-to-face) survey was employed. Confirmatory factor analysis and structural equation model analysis were implemented in AMOS 18.0. The study found that social insecurity, invasion of life, and work–home conflict had a positive relation with perceived strain, which in turn had a negative effect on life satisfaction. On...

A major obstacle for continued development of CARs is their suppression by the tumor microenvironment. Clinical data from our lab shows patients that have increased myeloid cells have poorer outcomes to CAR T cell therapy. Based on this we examined MDSC suppression of CARs. First, we examined the effect of MDSCs on CAR T cell production. We found gene transfer was lower for m1928z CAR T cells co-cultured with MDSCs compared to those that were not (24.1% vs 39.1%). There was also a reduction in total T cell counts for m1928z after MDSC co-culture (88%). We also investigated the effect of MDSCs on CAR T cells when present during antigen stimulation. Co-culture with MDSCs in vitro showed significant reductions in CAR T cell mediated killing and IFNγ secretion. Additionally, CAR T cells stimulated in the presence of MDSCs had lower expression of activation markers PD1 and LAG3. This suggests that MDSCs reduce CAR T cell gene transfer, activation, killing, and cytokine production. To evaluate if we could create a CAR T cell resistant to MDSC suppression null mutations of YMNM and PRRP were incorporated into a CD28 CAR leaving only PYAP active (mut06). When mut06 and MDSCs were co-cultured there was a reduction in gene transfer (21% vs 38%) and T cell counts (80% vs 88%) compared to m1928z. We also found when in the presence of MDSCs mut06 was significantly better at killing compared to m1928z. To examine this in vivo we co-injected mice with CAR T cells and MDSCs. We found mice given m1928z with MDSCs had reduced CAR T cell function while mut06 was not affected by MDSCs. Overall our data shows that MDSCs can suppress CAR T cell function when present during production as well as CAR stimulation and optimizing CD28 CAR signaling creates CAR T cells that are more resistant to MDSCs.

Background and objectives Gasless laparoscopy is an alternative method to reduce the number of carbon dioxide (CO2)-insufflated, pneumoperitoneum-related problems including shoulder pain, postoperative nausea/vomiting, and decreased cardiopulmonary function. In this study, we investigated the feasibility of gasless total laparoscopic hysterectomy (TLH) with a newly developed abdominal-wall retraction system. Methods Abdominal-wall retraction for gasless laparoscopy was performed using the newly developed J-shape retractor and the Thompson surgical retractor. Surgical outcomes between gasless TLH and conventional CO2-based TLH were compared for each of 40 patients for the period from January 2017 to October 2019. Results Between gasless TLH and conventional CO2-based TLH, no significant differences were observed for age, body mass index, parity, or surgical indications. The mean retraction setup time from skin incision was 7.4 min (range: 4-12 min) with gasless TLH. The mean total operation times were 87.9 min (range: 65-170) with gasless TLH and 90 min (range: 45-180) with conventional TLH, which showed no significant difference. Estimated blood loss and uterus weight also showed no significant intergroup difference. No major complications related to the ureter, bladder, or bowel were encountered. Conclusion Our new abdominal-wall retraction system for gasless TLH allowed for easy setup and a proper operation field in the performance of laparoscopic hysterectomy.

The convergence technology of ICT(Information & Communication Technology) in agriculture is the main key of the future agricultural industry. Recently, many that by using big data it can improve crop growth-circumstance and agricultural Industry. However, the data of crop growth-circumstance has been not shared and operated separately by individual farm. Therefore, it is necessary to build the LOK(Linked Open Knowledge) system for Quality of Farming & Farm product. We research previous studies for big data and development of the corp growth-circumstance using big data system case. Also, we suggest to build LOK system for improving the domestic agricultural industry.

" " # $ % # % " ! Keywords : Kinect, motion sensing, user interface, virtual keyboard, virtual mouse ※ 교신저자(Corresponding Author): Il-Hong Jung접수일:2014년 06월 01일, 수정일:2014년 07월 24일완료일:2014년 08월 09일* 대전대학교 컴퓨터공학과Tel: +82-42-280-2548 , Fax: +82-42-280-2889 email: iloveb2@nate.com ** 대전대학교 컴퓨터공학과email: ijung@dju.kr ! "#$%&'()*+,-./012 !34' 56789: ; ! ?=@ABCDEFG HIJ'K$%"KLMNOLP$QRO%SMROTLURV< plqrFcd. =st Fcdul= vwx ylzi $%b_{|4i}~'€5lGZ‚ u ƒ„5 €5lj\†Yl WY3

Comparative genome analysis of Shewanella strains predicted that the strains metabolize preferably two- and three-carbon carbohydrates as carbon/electron source because many Shewanella genomes are deficient of the key enzymes in glycolysis (e.g., glucokinase). In addition, all Shewanella genomes are known to have only one set of genes associated with the phosphotransferase system required to uptake sugars. To engineer Shewanella strains that can utilize five- and six-carbon carbohydrates, we constructed glucose-utilizing Shewanella oneidensis MR-1 by introducing the glucose facilitator (glf; ZMO0366) and glucokinase (glk; ZMO0369) genes of Zymomonas mobilis. The engineered MR-1 strain was able to grow on glucose as a sole carbon/electron source under anaerobic conditions. The glucose affinity (Ks) and glucokinase activity in the engineered MR-1 strain were 299.46 mM and 0.259 ± 0.034 U/g proteins. The engineered strain was successfully applied to a microbial fuel cell system and exhibited current generation using glucose as the electron source.

CAR T cells are genetically modified with an extracellular scFv, transmembrane domain, and intracellular costimulatory and CD3ζ domains. Two treatments received the approval from the FDA for the treatment of acute lymphoblastic leukemia and diffuse large B cell lymphoma. However, CAR T cell persistence remains a problem. A reason for this may be that myeloid cells such as myeloid derived suppressor cells (MDSCs) may be contributing to the reduced persistence of CAR T cells. MDSCs originate from myeloid cells and have been implicated in the suppression of the immune system in the tumor microenvironment. To determine what effect MDSCs might have during CAR T cell production we co-cultured MDSCs during CAR transduction. We found gene transfer was lower for m19z (38.7% vs 46.8%), m1928z (24.1% vs 39.1%), and m19hBBz (35.8% vs 46.2%) CAR T cells co-cultured with MDSCs compared to those that were not (Fig 1A). There was also a reduction in total T cell counts for m19z (58%), m1928z (88%), and m19hBBz (65%) after MDSC co-culture. This data suggests MDSCs present during CAR T cell production can alter gene transfer and total T cell counts. We also investigated the effect MDSCs can potentially have on CAR T cells when present during CAR T cell antigen stimulation. CAR T cells co-cultured with MDSCs in vitro had significant reductions in m19z, m1928z, and m19hBBz CAR T cell mediated killing against target cells (Fig 1B). We also found significantly lower production of IFNγ in m19z, m1928z, and m19hBBz CAR T cells cultured with MDSCs compared to cells cultured with total BM (Fig 1C). After 24hr stimulation with MDSCs and target cells, there was lower expression of activation markers PD1 and LAG3 by CAR T cells compared to culture without MDSCs. This suggests that MDSCs reduce CAR T cell activation, killing, and cytokine production. We also looked at how CAR proliferation after antigen stimulation is affected by MDSC co-culture and found MDSCs significantly reduced CAR proliferation in vitro. To evaluate if we could create a more resistant CAR T cell to MDSC suppression null mutations were incorporated into a CD28 CAR. We mutated the YMNM and PRRP subdomains of CD28 which signal through PI3K and ITK respectively leaving only PYAP active (mut06). When MDSCs were co-cultured with mut06 T cells during production mut06 had a smaller reduction in gene transfer (21% vs 38%) and T cell counts (80% vs 88%) compared to m1928z. Mut06 also had a significantly higher expression of PD1 and TIM3 compared to m1928z after production with MDSCs. In vitro when mut06 was co-cultured with MDSCs it had the same killing ability as m1928z without MDSCs and was significantly better at killing compared to m1928z co-cultured with MDSCs (Fig 1B). To examine the effect of MDSCs on CAR T cells in vivo we injected C57BL6 mice with CAR T cells followed by MDSCs a week later. In these ongoing experiments we found mut06 had significantly higher numbers of CAR T cells in the blood compared to m1928z (Fig1D). Overall our data shows that MDSCs can suppress CAR T cell function when present during production as well as CAR stimulation. It also suggests that by optimizing CD28 CAR signaling using mut06 that we were able to generate a CAR T cell that is more resistant to MDSCs. Furthermore, we may be able to recapitulate the effect of mut06 with targeted inhibitors. Figure 1 Disclosures Davila: GlaxoSmithKline: Consultancy; Novartis: Research Funding; Adaptive: Consultancy; Celgene: Research Funding; Precision Biosciences: Consultancy; Bellicum: Consultancy; Anixa: Consultancy; Atara: Research Funding.

Introduction: Approximately 60% of Large B cell Lymphoma (LBCL) patients that receive CD19 CAR T cell therapy with axicabtagene ciloleucel (axi-cel) experience lymphoma progression (Locke et al. Lancet Oncol. 2019) and the likelihood of response to subsequent therapy is low (Spiegel, Dahiya et al. ASCO 2019). Target loss of CD19 is observed in less than a third of patients experiencing relapse. Alternative mechanisms of resistance to axi-cel are poorly understood. Lymphoma patients with elevated serum markers of systemic inflammation, such as ferritin and IL-6, have worse outcomes following axi-cel (Locke, Neelapu et al. Mol.Ther.2017; Faramand et al. ASH 2018). We hypothesized that suppressive monocytic myeloid derived suppressor cells (M-MDSCs), which are associated with worse chemotherapy outcomes in LBCL (Azzaoui et al. Blood 2016), and tumor driven inflammation may be present and responsible for decreased efficacy of axi-cel in LBCL. Methods: LBCL patients undergoing axi-cel treatment were enrolled onto prospective sample collection protocols. Patients were stratified for analysis into ongoing responders (complete response or partial response) or relapsed (progressive disease) after a minimum of 3 months follow-up (range 3 - 15 months). M-MDSCs, defined as a Lin-, CD11b+, CD33+, CD15-, CD14+, HLA-DRlow population, were sorted from leftover apheresis material after collection for axi-cel manufacture. M-MDSC ability to suppress proliferation of autologous T cells stimulated with CD3/CD28 coated beads was measured by 3H thymidine incorporation. Circulating peripheral blood M-MDSCs, quantified by % of live cells by flow cytometry, were measured at the time of apheresis and serially after axi-cel infusion until day 30. In vitro mouse experiments utilized a CD19-CD28 CAR and cytokine-induced bone marrow MDSCs (Thevenot et al. Immunity 2014). Cytokines were measured by ELISA and cytotoxicity against CD19 bearing cell lines used xCELLigence real-time cell analysis, as we have done previously (Li et al. JCI Insight 2018).Tumor biopsies were taken within 1 month prior to infusion of axi-cel. Limited gene expression profiling of tumor microenvironment (TME) genes used the Nanostring IO360 panel (770 genes). Analysis used nSolver to identify cell types, GSEA and differential gene expression between groups. Results: First, we demonstrated that M-MDSCs sorted from patient apheresis material suppressed the proliferation of autologous T cells (n=6). We next enumerated M-MDSCs in the peripheral blood (n = 32). M-MDSC numbers initially decreased after lymphodepleting chemotherapy but recovered to baseline levels by day +10. The level of M-MDSCs following CAR T cell therapy strongly correlated with pre-CAR T baseline levels (R = 0.871, p Conclusions: Systemic inflammatory myeloid cytokines, circulating M-MDSCs in the blood and chronic IFN in the TME all associate with LBCL relapse after axi-cel CAR T cell therapy. Our observations support that CAR T cells can be suppressed by baseline patient and tumor-related factors and strategies to overcome these factors should be targeted to improve patient outcomes. MDJ and HZ contributed equally. Disclosures Jain: Kite/Gilead: Consultancy. Bachmeier:Kite/Gilead: Speakers Bureau. Chavez:Novartis: Membership on an entity's Board of Directors or advisory committees; Genentech: Speakers Bureau; Kite Pharmaceuticals, Inc.: Membership on an entity's Board of Directors or advisory committees; Janssen Pharmaceuticals, Inc.: Speakers Bureau. Shah:Jazz Pharmaceuticals: Research Funding; Incyte: Research Funding; Kite/Gilead: Honoraria; Celgene/Juno: Honoraria; Pharmacyclics: Honoraria; Adaptive Biotechnologies: Honoraria; Spectrum/Astrotech: Honoraria; Novartis: Honoraria; AstraZeneca: Honoraria. Mullinax:Iovance: Research Funding. Davila:Celgene: Research Funding; GlaxoSmithKline: Consultancy; Precision Biosciences: Consultancy; Novartis: Research Funding; Atara: Research Funding; Bellicum: Consultancy; Adaptive: Consultancy; Anixa: Consultancy. Locke:Kite: Other: Scientific Advisor; Novartis: Other: Scientific Advisor; Cellular BioMedicine Group Inc.: Consultancy.

An obstacle with continued clinical development of CAR T cells is the limited understanding of their biology and mechanisms of anti-tumor immunity. We and others have shown that CARs with a CD28 co-stimulatory domain drive high levels of T cell activation that also lead to exhaustion and shortened persistence. The CD28 domain includes 3 intracellular subdomains (YMNM, PRRP, and PYAP) that regulate signaling pathways post TCR-stimulation, but it is unknown how they modulate activation and/or exhaustion of CAR T cells. A detailed understanding of the mechanism of CD28-dependent exhaustion in CAR T cells will allow the design of a CAR less prone to exhaustion and reduce relapse rates. This led us to hypothesize that by incorporating null mutations of CD28 subdomains (Fig 1A) we could optimize CAR T cell signaling and reduce exhaustion. In vitro, we found mutated CAR T cells with only a functional PYAP (mut06) subdomain secrete significantly less IFNγ, IL6, and TNFα after 24hr stimulation compared to non-mutated CD28 CAR T cells, but greater than the 1st generation m19z CAR. Also, cytotoxicity was enhanced compared to non-mutated CARs (Fig 1B). Using a pre-clinical immunocompetent mouse tumor model, we found the mut06 CAR T cell treated mice had a significant survival advantage compared to non-mutated CD28 CAR T cells (Fig 1C). To examine exhaustion, we ex vivo stimulated CAR T cells with target cells expressing CD19 and PDL1 and found mut06 CAR T cells had increased IFNγ (42%), TNFα (62%) and IL2 (73%) secretion compared to exhausted non-mutated CD28 CAR T cells. This suggests that mut06 CAR T cells are more resistant to exhaustion. To find a mechanistic explanation for this observation we examined CAR T cell signaling. After 24hr stimulation with CD19 target cells mut06 CAR T cells had a significant reduction in pAkt compared to m1928z CAR T cells, which is a critical signaling mediator in the NFAT and NR4A1 transcription factor pathways. Additionally, mut06 had decreased p-NFAT compared to m1928z when examined by western blot. To determine how optimized CAR signaling affected T cell exhaustion we looked at 22 genes that are upregulated when NFAT is constitutively active and overlap with genes identified as important for T cell exhaustion. We found that most of the exhaustion related genes were upregulated in m1928z CAR T cells while they were decreased in m19hBBz. The mut06 CAR T cell gene expression pattern was more similar to m19hBBz with exhaustion related genes downregulated compared to m1928z (Fig 1D). To examine differences in the accessibility of exhaustion related genes we performed ATAC-seq and found NFAT (Nfatc1) and NR4A2 (Nr4a2) had lower chromatin accessibility profiles in mut06 compared to m1928z (Fig 1E). We also found that exhaustion related genes Havcr2 (TIM3), Pdcd1 (PD1), and Lag3 (LAG3) all had greatly reduced chromatin accessibility in mut06 CAR T cells compared m1928z. Overall, these genomic studies support our findings that mut06 optimizes CAR T cell signaling by lowering transcription factors that regulate exhaustion. Figure 1 Disclosures Li: ImmuneBro Therapeutics: Other: sole shareholder . Davila:Atara: Research Funding; Celgene: Research Funding; GlaxoSmithKline: Consultancy; Novartis: Research Funding; Anixa: Consultancy; Bellicum: Consultancy; Adaptive: Consultancy; Precision Biosciences: Consultancy.

Introduction: Of patients receiving CD19 CAR T cell therapy for large B cell lymphoma (LBCL), approximately 1 in 10 experience severe cytokine release syndrome (CRS) and 1 in 3 experience severe neurotoxicity. While CAR T cells trigger the onset of these toxicities, CRS and neurotoxicity are thought to occur as a consequence of activated myeloid cells amplifying cytokine and catecholamine release, thereby stimulating inflammation both systemically and at the blood-brain barrier. However, patient and tumor-related factors that account for differences in the amount of toxicity remain poorly understood. Methods: Serum cytokine levels were measured on an ELLA point of care device prior to lymphodepleting chemotherapy and throughout inpatient treatment with CD19 CAR T cell therapy (axicabtagene ciloleucel) for LBCL. Catecholamine levels were measured as we have previously reported. Tumor biopsies were taken within 1 month prior to infusion of CAR T cells. RNA expression was measured by RNAseq and/or a Nanostring IO360 panel consisting of 770 genes found in the tumor microenvironment (TME) in cancer. Analysis used nSolver to identify cell types, GSEA and differential gene expression between groups. Mouse CAR T cell studies utilized mouse CD19-targeted CAR T cells derived from C57BL/6 splenocytes and cultured in vitro with myeloid cells and target cells to evaluate cytotoxicity and/or cytokine secretion. Elicited mouse macrophages were collected from peritoneal fluid 4 days after IP injection of 3% Brewer's thioglycollate medium. In vivo studies with mouse CD19-targeted CAR T cells were performed in IL2Ra-/- mice given cyclophosphamide as a pre-conditioning chemotherapy followed by adoptive transfer and analyses for CAR T cell and B cell persistence, as well as cytokines. Results: Of 58 patients undergoing CD19 CAR T cell therapy for LBCL, 8 (14%) had severe (grade 3 or higher) CRS and 16 (28%) had severe (grade 3 or higher) neurotoxicity. At baseline, peripheral blood levels of IL-6, IFN-γ, IL-15 and ferritin were significantly higher in patients who would subsequently experience severe CRS and severe neurotoxicity. Confirming our recent animal model of CRS we determined that peak serum catecholamine levels were higher in patients experiencing severe CRS. To identify if myeloid cells potentiate cytokine release we co-cultured CAR T cells with CD19 target and macrophages obtained from elicited mouse peritoneum. When these macrophages were added, IL-6 release from CAR T cells significantly increased compared to when macrophages were absent. Next, we studied the baseline TME in LBCL CAR T patients. Of 36 patients, 10 (27%) experienced severe neurotoxicity following CAR T cell therapy. By cell type score, the severe neurotoxicity group had a lower expression of genes associated with T cells overall and specifically Tregs. Also significantly lower in the severe neurotoxicity group were T cell genes including multiple subunits of CD3, CD3ζ, FOXP3, ICOS, CD62L and others. Association of increased T cell infiltration in the TME with low neurotoxicity raised the possibility that suppressive T cell subsets play a role in limiting toxicity post-CAR T cell therapy. To test this hypothesis, we injected CD19-targeted CAR T cells into an immune competent mouse model of Treg depletion (IL2Ra-/-) with established CD19+ leukemia. Treg deficient mice experienced a massive cytokine release after CAR T infusion and died prematurely due to CAR T toxicity compared to control mice with Tregs intact. Conclusions: Our observations suggest that the incidence of severe toxicity following CD19 CAR T cell therapy is influenced by baseline characteristics that are present prior to the infusion of CAR T cells. These include systemic inflammation characterized by high cytokine levels and a TME notable for a lack of infiltrating T cells. We posit a model whereby inflammation primes myeloid cells that are further activated upon CAR T cell infusion to release toxic amounts of cytokines and catecholamines. T cell subsets in the TME may modulate CAR T cells at the site of antigen encounter and prevent excessive CAR T activation. Reducing systemic inflammation or encouraging T cell infiltration into tumor prior to CAR T infusion are potential strategies for lowering the toxicity associated with CAR T therapy. Disclosures Jain: Kite/Gilead: Consultancy. Chavez:Kite Pharmaceuticals, Inc.: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Genentech: Speakers Bureau; Janssen Pharmaceuticals, Inc.: Speakers Bureau. Shah:Novartis: Honoraria; Spectrum/Astrotech: Honoraria; Celgene/Juno: Honoraria; Kite/Gilead: Honoraria; Incyte: Research Funding; Jazz Pharmaceuticals: Research Funding; Pharmacyclics: Honoraria; Adaptive Biotechnologies: Honoraria; AstraZeneca: Honoraria. Bachmeier:Kite/Gilead: Speakers Bureau. Mullinax:Iovance: Research Funding. Locke:Novartis: Other: Scientific Advisor; Cellular BioMedicine Group Inc.: Consultancy; Kite: Other: Scientific Advisor. Davila:Anixa: Consultancy; Precision Biosciences: Consultancy; Novartis: Research Funding; GlaxoSmithKline: Consultancy; Adaptive: Consultancy; Celgene: Research Funding; Atara: Research Funding; Bellicum: Consultancy.

Background A cytokine release syndrome (CRS) or neurotoxicity described as a chimeric antigen receptor (CAR) T Related Encephalopathy Syndrome (CRES) is one of the main complications while CD19 CAR T has been successful in relapsed/refractory (R/R) B cell malignancies. CRS and/or CRES have been associated with standard biomarkers such as CRP and ferritin but also with cytokines. We report the results of cytokine analysis using a point of care (POC) device to predict immune-related toxicities in patients with R/R DLBCL treated with axicabtagene ciloleucel (axi-cel). Methods Patients treated with commercial axi-cel in Moffitt Cancer Center were included in this study. Serum samples were collected prior to lymphodepleting chemotherapy at baseline and then during hospitalization. Based on 38 serum cytokineś analysis in B-cell acute lymphoblastic leukemia patients treated with 19-28z CAR T and results of published studies, 8 serum proteins were selected to monitor. CRS and CRES were prospectively graded by Lee criteria and CARTOX respectively. Results 41 patients were identified. Median age was 64 years old (76% male). Non-severe (grade 0-2) and severe (grade 3-5) CRS were observed in 93% and 7% respectively while non-severe and severe CRES were observed in 71% and 29% respectively. 2 patients died in the setting of severe toxicity. Baseline CRP, ferritin, IL-6 levels were significantly elevated in the patients who developed severe CRS and/or CRES. Baseline angiopoietin-2/angipoietin-1 ratio (ANG-2/1) was also correlated with severe CRES. In select cases, monitoring of cytokines provided clinical insight that wasnt evident from standard biomarkers. Conclusions We observed correlations between severe toxicities and elevated serum cytokine levels of baseline IL-6 and ANG-2/1 suggesting that these biomarkers may be utilized to predict severe toxicity in patients treated with CAR T. Monitoring of cytokines using a POC device is feasible and would be useful clinically.

Idiopathic pulmonary fibrosis (IPF) is a progressive, eventually fatal disease characterized by fibrosis of the lung parenchyma and loss of lung function. IPF is believed to be caused by repetitive alveolar epithelial cell injury and dysregulated repair process including uncontrolled proliferation of lung (myo) fibroblasts and excessive deposition of extracellular matrix proteins in the interstitial space; however, the pathogenic pathways involved in IPF have not been fully elucidated. In this study, we attempted to characterize metabolic changes of lung tissues involved in the pathogenesis of IPF using gas chromatography-mass spectrometry-based metabolic profiling. Partial least-squares discriminant analysis (PLS-DA) model generated from metabolite data was able to discriminate between the control subjects and IPF patients (R(2)X = 0.37, R(2)Y = 0.613 and Q(2) (cumulative) = 0.54, receiver operator characteristic AUC0.9). We discovered 25 metabolite signatures of IPF using both univariate and multivariate statistical analyses (FDR0.05 and VIP score of PLS-DA1). These metabolite signatures indicated alteration in metabolic pathways: adenosine triphosphate degradation pathway, glycolysis pathway, glutathione biosynthesis pathway, and ornithine aminotransferase pathway. The results could provide additional insight into understanding the disease and potential for developing biomarkers.