Citations

Abstract CD19-directed chimeric antigen receptor T (CART19) cell therapy has shown remarkable outcomes in B cell malignancies and was FDA approved in multiple indications, but durable remissions are limited to ~40%. Inhibitory myeloid cells in the tumor microenvironment have been found to suppress T cell expansion and contribute to CART19 failure. Here, we studied interactions between monocytes, CART19, and tumor cells to understand the impact of monocytes on CART19 effector functions. First, CD28-costimulated CART19 (CART19-28ζ) generated in the lab from healthy donors were cocultured with JeKo-1, a CD19+ mantle cell lymphoma cell line, and freshly isolated monocytes or ex vivo differentiated M2-like macrophages. M2-like macrophages were generated by incubating fresh monocytes with rhGM-CSF followed by coculturing with JeKo-1. CART19 antigen-specific proliferation was significantly inhibited by M2-like macrophages but not fresh monocytes (JeKo-1+CART19 vs JeKo-1+M2+CART19, p=0.00503). Transwell assays indicated that suppression from M2-like macrophages was not contact-dependent. IL-1 receptor antagonist (IL-1ra) was significantly elevated in M2-like macrophage coculture supernatant (JeKo-1+Mono+CART19 vs JeKo-1+M2+CART19, p=0.0292) and intracellularly in M2-like macrophages after coculture (90%+). We therefore hypothesized that M2-like macrophages inhibit CART19 by secreting IL-1ra, which blocks IL-1 signaling in CART19. We interrogated the role of IL-1ra in CART19. JeKo-1 was cocultured with CART19, supplemented with rhIL-1β only, IL-1β + IL-1ra, or IL-1β +IL-1ra + IL-1ra neutralizing antibody (neuAb). CART19 antigen-specific proliferation was improved by IL-1β (PBS vs IL-1β, p<0.0001). IL-1ra inhibited IL-1β-dependent CART19 proliferation (IL-1β vs IL-1β+IL1ra p=0.0006), which was restored by IL-1ra neutralization (IL-1β+IL-1ra vs IL-1β+IL-1ra+IL-1ra neuAb, p=0.0215). Additionally, expression of IL-1RI, the receptor of IL-1β and IL-1ra, was measured on T cells after coculturing CART19, JeKo-1, and M2-like macrophages. M2-like macrophages downregulated IL-1RI expression on CART cells, which is a potential mechanism of blocking CART response to IL-1β, resulting in further suppression of CART proliferation (JeKo-1+M2+CART19 vs JeKo-1+CART19, p=0.001). Next, we assessed the impact of IL-1ra on CART cell functions in the presence of M2-like macrophage in a mantle cell lymphoma xenograft model. NOD-SCID-γ−/- (NSG) mice were subcutaneously injected with human macrophages and luciferase+ JeKo-1 cells. Upon tumor engraftment by bioluminescent imaging, mice were randomized to treatment with CART19 + IL-1ra neuAb or control IgG for 3 weeks. CART19 + IL-1ra neuAb led to improved antitumor activity (IL-1ra neuAb vs control IgG, p=0.0033). Overall, our study revealed a role of IL-1ra in macrophage-induced CART inhibition mediated by blocking IL-1β signaling through IL-1RI. Citation Format: Kun Yun, Reona Sakemura, Truc Huynh, Claudia Manriquez Roman, Olivia Sirpilla, Carli Stewart, James Girsch, Ekene Ogbodo, Ismail Can, Jennifer Feigin, Long Mai, Hong Xia, Brooke Kimball, Makena Rodriguez, Lionel Kankeu Fonkoua, Mehrdad Hefazi, Michael Ruff, Elizabeth Siegler, Saad Kenderian. Immunosuppressive monocytes suppress CART19 functions through modulation of the IL-1 pathway [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6813.

Abstract Background: Immune checkpoint inhibitors (ICIs) targeting PD-1 or PD-L1 have dramatically improved survival of patients with gastric cancer (GC). However, recent clinical trials, including KEYNOTE-059, KEYNOTE-061, and ATTRACTION-2, show that the objective response rate (ORR) for ICIs is still less than 20% in patients with advanced GC. Therefore, predicting who will respond to ICIs in advance is essential to make better treatment plans for GC patients. There are potential biomarkers to predict ICI response, but most of them can only be applied to a limited population of patients. For example, Kim ST., et al., (PMID: 30013197) show that patients with MSI-high or EBV-positive responded well to ICIs, but these subtypes account for less than 30 percent of GC patients (PMID:25079317). In this study, we propose a prediction model of ICI response using the 32 GC-specific genes that we identified from mutation data (PMID: 26635139) and showed their close association with survival and ICI response in GC (PMID: 35140202; PMID: 36508166). In addition, since the number of available GC-ICI samples is small, we design our prediction model in Bayesian and ensemble learning frameworks which are robust to small sample size problems. Methods: We collected mRNA sequencing data from GC-ICI treated patients from our institutions and publications (PMID: 30013197; PMID: 35254400; PMID: 33846173). We used 108 samples previously included in our previous work (PMID: 36508166) as the training data and 27 samples (13 responders and 14 non-responders) from (PMID: 3384617) as the test data. We built and trained a classifier to separate responders from non-responders using the expressions of the 32 genes. We proposed to use a Deep Gaussian process (GP) model, a multi-layered extension of a GP that is itself a Bayesian method. We optimized the parameters of each GP model in variational inference. To implement ensemble learning, we trained multiple DGP models with different initializations of the model parameters and data splitting (training/validation sets). For each training run, the best model was selected based on the prediction performance on the validation set, measured by AUC. The final prediction for a test sample was made by combining the prediction results of all the DGP models by taking the average. Results: We implemented the DGP-based prediction model using PyTorch in Python, and the codes will be publicly available on the GitHub repository (https://github.com/hwanglab/GC_ICI_response_prediction). We achieved a prediction performance of 0.813 AUC on the test data (sensitivity = 0.769 and specificity = 0.714). Conclusion: We propose the prediction model of ICI response, which can handle small sample size problems in the framework of Bayesian and ensemble learning. The experimental results using the GC-ICI data demonstrate that the 32 genes can be used as predictive markers for ICI response in GC. Citation Format: Sunho Park, Minji Kim, Changjin Hong, Tae Hyun Hwang. A deep Gaussian process (DGP)-based prediction model for immunecheckpoint inhibitor (ICI) response in gastric cancer (GC) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 2316.

Abstract Despite the remarkable efficacy of chimeric antigen receptor T -cell therapy (CART) for the treatment of B-cell malignancies, durable remission remains limited often due to tumor relapse. We have previously demonstrated that tumor-derived extracellular vesicles (EVs) induced CART cell failure in preclinical models. To characterize the impact of tumor EV induced CART cell dysfunction, we assessed microRNA (miRNA) profiles contained within tumor EVs from two independent patient cohorts and studied how they contributed to CART dysfunction. Our first cohort included patients with chronic lymphocytic leukemia (n=50). We previously showed that CLL patient derived EVs induce a state of CART cell dysfunction. To understand this dysfunction, we interrogated the miRNA cargo significantly enriched in CLL EVs and how their coculture impacts CART signaling by RNAseq. Here, we found a significant enrichment in miR-125a within CLL EVs as compared to healthy donor controls (p=.0001). CART cocultured with CLL EVs showed alterations in T cell activation pathways, where miR-125a targets TNFAIP3 and NFkB pathways were activated. These findings implicate miR-125a from CLL EVs in CART dysfunction. Next, we aimed to validate the impact of miRNA on CART cell outcomes in the clinic. We interrogated miRNA profiles from patients with diffuse large B cell lymphoma (DLBCL) treated with CART cell therapy (CART19-28ζ, axicabtagene ciloleucel). EV miRNA cargo was compared between responders (complete remission at 6 months, n=10) and non-responders (no response 1 month post CART19, n=10) to identify differentially enriched miRNAs across groups. miR-125a was again significantly upregulated in EVs of non-responders as compared to responders to CART19 treatment (fold change=3.28, padj=.018). To study the direct effect of miR-125a on CART cell functions, we generated and studied the effector functions of CART19-28z following transfection with miR-125a or negative miR control. CART19 cells transfected with miR-125a showed a dose dependent decrease in killing of lymphoma cells as compared to miR-control (p=.0001). miR-125a also significantly increased the rate of apoptosis in CART19 cells (fold change=1.95, p=.024) and decreased the level of CART proliferation (fold change=.71, p=.013) as compared to controls. Notably, miR-125a did not impact tumor cell growth, further verifying a direct CART effect. In summary, our studies demonstrate the impact of tumor derived miRNAs on CART cell outcomes. They identify that miR-125a is 1) associated with CLL EV induced CART dysfunction, 2) significantly elevated in non-responders to CART therapy in the clinic, and 3) able to decrease CART19 efficacy through reduced CART killing/proliferation and increased apoptosis. These results highlight a novel mechanism of CART19 failure induced through miRNA cargo delivery by tumor-derived EVs and the role of miR-125a in inducing CART19 dysfunction. Citation Format: Olivia Sirpilla, R. Leo Sakemura, Ismail Can, Truc N. Huynh, James H. GIrsch, Claudia Manriquez Roman, Carli M. Stewart, Kun Yun, Ekene J. Ogbodo, Long Mai, Omar Gutierrez Ruiz, Makena Rodriguez, Brooke Kimball, Hong Xia, Jose C. Villasboas, Stephen Ansell, Nora Bennani, Patrick B. Johnston, Jonas Paludo, Januario Castro, Mohamed Kharfandabaja, Sameer Parikh, Neil Kay, Yi Lin, Elizabeth Siegler, Saad Kenderian. Tumor-derived microRNA125a induces CART cell apoptosis and failure in B cell malignancies [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3841.

Abstract Introduction: Despite the remarkable activity of CD19-directed chimeric antigen receptor T cell therapy (CART19), durable remissions remain low, especially in chronic lymphocytic leukemia (CLL). Ibrutinib is an oral irreversible inhibitor of Bruton’s tyrosine kinase and is a first line therapy for CLL. Preclinical and early clinical data indicate that ibrutinib plus CART19 may be synergistic through inhibition of IL2-inducible T cell kinase. To systematically study the effects of prior ibrutinib treatment on subsequent CART functions, we utilized blood samples from the pivotal clinical trial E1912 (NCT02048813). E1912 was a phase 3 randomized trial comparing treatment with ibrutinib/rituximab (IR) to fludarabine/cyclophosphamide/rituximab (FCR) in previously untreated patients with CLL, which led to the FDA approval of ibrutinib as a first-line therapy in CLL. Methods: We evaluated the ex vivo expansion and effector functions of T cells and CART19 generated from patients (n=12) with CLL progression following treatment with IR or FCR. We generated CART19 from longitudinal samples obtained at baseline (pretreatment), 6 months post-treatment, 12 months post-treatment, and disease progression. Isolated T cells were lentivirally transduced to express CD28- or 41BB-costimulated CAR19. To assess antigen specific killing and proliferation, untransduced T cells or CART19 were co-cultured at a 1:1 ratio with the CD19+ cell line, JeKo-1, as a surrogate for CLL cells. Results: Ex vivo T cell expansion increased from an average of 1.5-fold at baseline to 6.7-fold at 6 months, 11.6-fold at 12 months, and 16.9-fold at progression, following ibrutinib-based therapy (p = 0.02, 0.04, and 0.04, respectively). Improved T cell expansion was independent of disease burden (p = 0.89, 0.73, and 0.54 for expansion vs B cell count at 6 months, 12 months, and progression). T cell expansion significantly worsened following treatment with FCR-based therapy compared to ibrutinib-based therapy (0.6- vs 11.6-fold at 12 months and 0.9- vs 16.9-fold at progression; p = 0.031 and 0.039, respectively). Starting at 6 months post-IR, CART19 demonstrated improved antitumor activity and antigen-specific proliferation against JeKo-1. There was no significant difference in the expansion of 41BB- vs CD28-costimulated CART19 following ibrutinib treatment. However, 41BB-CART19 showed enhanced antigen-specific proliferation upon stimulation with JeKo-1 (p = 0.008, 0.02, and 0.02 at 6 months, 12 months, and progression). Conclusion: Our results indicate significant improvement in T cell expansion and CART19 cell functions in patients with CLL following frontline ibrutinib-based therapy, and worsening T cell functions after FCR treatment. Improvement in T cell functions is independent of malignant B cell eradication and is more significant in 41BB-costimulated CART19. Citation Format: Truc Ngoc Huynh, Victoria Wang, Tait Shanafelt, Elizabeth L. Siegler, Carli M. Stewart, Kun Yun, Long K. Mai, Olivia Sirpilla, James H. Girsch, Claudia Manriquez-Roman, Jennifer M. Feigin, Makena Rodriguez, Brooke L. Kimball, Hong Xia, Reona L. Sakemura, Ismail Can, Omar L. Gutierrez-Ruiz, Ekene J. Ogbodo, Erin E. Tapper, Lionel A. Fonkoua, Mehrdad T. Hefazi, Michael W. Ruff, Sameer Parikh, Neil E. Kay, Saad J. Kenderian. Frontline ibrutinib-based therapy enhances CART cell functions in patients with CLL: Analysis of the phase 3 randomized clinical trial ECOG-ACRIN E1912 [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3849.

Abstract Traditional cancer research methodologies predominantly focus on 2D tumor modeling, including spatial profiling and AI-driven analysis at the 2D level. To advance beyond these limitations, we implemented Holotomography (HT), a 3D, label-free optical imaging method. This technique, leveraging refractive index contrasts, allows for enhanced visualization of tumor tissues, organoids, and cells in three dimensions. Using serial H&E sections and unstained slides, we created detailed 3D tumor models in gastric cancer, providing insights into tumor, immune, and stromal composition, as well as cell-cell interactions and extracellular matrix characteristics. AI algorithms further enhanced our 3D tumor modeling, offering novel perspectives on the initiation and progression of tumor, immune, and stromal components at the subcellular level. Analyzing gastric tumors treated with immune checkpoint inhibitors before, during, and after treatment revealed dynamic changes in spatial composition over time, offering unique insights into the evolution of the 3D tumor ecosystem. Additionally, by integrating spatial transcriptomic and in situ molecular imaging data, we developed a novel Multimodal 3D Tumor Model. This model not only uncovers subcellular-level molecular characteristics but also elucidates cellular interactions during treatment, suggesting potential biomarkers and therapeutic approaches. Lastly, by constructing 3D cellular interaction networks incorporating true 3D interactions, we provided an in-depth view of cellular communication within the tumor microenvironment. This pioneering approach, representing the first Multimodal 3D Tumor Model at the subcellular level, offers novel insights into gastric cancer's spatial evolution, potentially revolutionizing our understanding and treatment of gastric cancer. Citation Format: Yoon Ho Choi, Minji Kim, Katya Redekop, Inyeop Jang, Jean R. Clemenceau, Isabel Barnfather, Sumanth Reddy Nakkireddy, Changjin Hong, Sunho Park, Ji-Youn Sung, Jeong Hwan Park, Shitara Kohei, Aoki Yu, Sung Hak Lee, Sam Wang, Jaeho Cheong, Tae Hyun Hwang. AI-driven multimodal 3D tumor modeling with spatial molecular insights for predicting ICI response in gastric cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7400.

OBJECTIVE Conventional frame-based stereotactic systems have circumferential base frames, often necessitating deep brain stimulation (DBS) surgery in two stages: intracranial electrode insertion followed by surgical re-preparation and pulse generator implantation. Some patients do not tolerate awake surgery, underscoring the need for a safe alternative for asleep DBS surgery. A frame-based stereotactic system with a skull-mounted "key" in lieu of a circumferential base frame received US FDA clearance. The authors describe the system’s application for single-stage, asleep DBS surgery in 8 patients at their institution and review its workflow and technical considerations. METHODS Eight patients underwent DBS lead insertion and IPG implantation in a single surgical preparation under general anesthesia using the system. Postoperative CT imaging confirmed lead placement. RESULTS Eight patients underwent implantation of 15 total leads targeting the ventral intermediate nucleus (4 patients), globus pallidus internus (GPi; 3 patients), and subthalamic nucleus (STN; 1 patient). Intraoperative microelectrode recording was conducted for GPi and STN targets. Postoperative CT imaging revealed a mean ± SD radial error of 1.24 ± 0.45 mm (n = 15 leads), without surgical complications. CONCLUSIONS The stereotactic system facilitated safe and effective asleep, single-stage DBS surgery, maintaining traditional lead accuracy standards.

ImportanceRedirection of care refers to withdrawal, withholding, or limiting escalation of treatment. Whether maternal social determinants of health are associated with redirection of care discussions merits understanding.ObjectiveTo examine associations between maternal social determinants of health and redirection of care discussions for infants born extremely preterm.Design, Setting, and ParticipantsThis is a retrospective analysis of a prospective cohort of infants born at less than 29 weeks’ gestation between April 2011 and December 2020 at 19 National Institute of Child Health and Human Development Neonatal Research Network centers in the US. Follow-up occurred between January 2013 and October 2023. Included infants received active treatment at birth and had mothers who identified as Black or White. Race was limited to Black and White based on service disparities between these groups and limited sample size for other races. Maternal social determinant of health exposures were education level (high school nongraduate or graduate), insurance type (public/none or private), race (Black or White), and ethnicity (Hispanic or non-Hispanic).Main Outcomes and MeasuresThe primary outcome was documented discussion about redirection of infant care. Secondary outcomes included subsequent redirection of care occurrence and, for those born at less than 27 weeks’ gestation, death and neurodevelopmental impairment at 22 to 26 months’ corrected age.ResultsOf the 15 629 infants (mean [SD] gestational age, 26 [2] weeks; 7961 [51%] male) from 13 643 mothers, 2324 (15%) had documented redirection of care discussions. In unadjusted comparisons, there was no significant difference in the percentage of infants with redirection of care discussions by race (Black, 1004/6793 [15%]; White, 1320/8836 [15%]) or ethnicity (Hispanic, 291/2105 [14%]; non-Hispanic, 2020/13 408 [15%]). However, after controlling for maternal and neonatal factors, infants whose mothers identified as Black or as Hispanic were less likely to have documented redirection of care discussions than infants whose mothers identified as White (Black vs White adjusted odds ratio [aOR], 0.84; 95% CI, 0.75-0.96) or as non-Hispanic (Hispanic vs non-Hispanic aOR, 0.72; 95% CI, 0.60-0.87). Redirection of care discussion occurrence did not differ by maternal education level or insurance type.Conclusions and RelevanceFor infants born extremely preterm, redirection of care discussions occurred less often for Black and Hispanic infants than for White and non-Hispanic infants. It is important to explore the possible reasons underlying these differences.

Abstract High prevalence of IDH mutations in seronegative rheumatoid arthritis (RA) with myeloid neoplasm, elevated 2-hydroxyglutarate, dysregulated innate immunity, and proinflammatory microenvironment suggests causative association between IDH mutations and seronegative RA. Our findings merit investigation of IDH inhibitors as therapeutics for seronegative IDH-mutated RA.