Citations

Background: Noninvasive tests (NITs) are used to risk-stratify metabolic dysfunction–associated steatotic liver disease. The aim was to survey global patterns of real-world use of NITs. Methods: A 38-item survey was designed by the Global NASH Council. Providers were asked about risks for advanced fibrosis, which NITs (cutoff values) they use to risk-stratify liver disease, monitor progression, and which professional guidelines they follow. Results: A total of 321 participants from 43 countries completed the survey (54% hepatologists, 28% gastroenterologists, and 18% other). Of the respondents, 85% would risk-stratify patients with type 2 diabetes, obesity (82%), or abnormal liver enzymes (73%). Among NITs to rule out significant or advanced fibrosis, transient elastography (TE) and fibrosis-4 (FIB-4) were most used, followed by NAFLD Fibrosis Score, Enhanced Liver Fibrosis, and magnetic resonance elastography. The cutoffs for ruling out significant fibrosis varied considerably between practices and from guidelines, with only 50% using TE <8 kPa, 65% using FIB-4 <1.30 for age <65, and 41% using FIB-4 <2.00 for age ≥65. Similar variability was found for ruling in advanced fibrosis, where thresholds of FIB-4 ≥2.67 and TE ≥10 kPa were used by 20% and 17%, respectively. To establish advanced fibrosis, 48% would use 2 NITs while 23% would consider 1 NIT, and 17% would confirm with liver biopsy. TE was used by >75% to monitor, and 66% would monitor (intermediate or high risk) annually. Finally, 65% follow professional guideline recommendations regarding NITs. Conclusions: In clinical practice, there is variability in NIT use and their thresholds. Additionally, there is suboptimal adherence to professional societies’ guidelines.

AbstractIntroductionActive learning engages learners in constructing knowledge through interactive strategies such as simulation, small‐group discussion, and peer instruction. Although recognized as a superior approach to traditional passive learning, its adoption has been inconsistent. Barriers include reliance on traditional lectures, lack of training, and limited time to develop materials. Simulation educators have a unique skill set that may inform and support active learning initiatives.MethodsFifteen emergency medicine simulation experts convened to define the unique skill set of simulation educators and identify transferable simulation‐based medical education (SBME) skills and concepts to promote effective active learning beyond the simulation lab. Workgroup members are simulation education directors who have undergone specialized training in SBME. During biweekly meetings over 6 months, workgroup members reviewed primary literature in SBME and active learning, along with relevant simulation educator training materials. Objectives were achieved through iterative review, group conceptualization, and expert consensus.Unique treatmentThe increasing prevalence of SBME in medical education, along with the growth of simulation fellowships, has produced a group of education experts with shared competencies. Simulation educators acquire expertise in psychological safety, facilitation, communication, and debriefing, through specialized training and extensive experience. These skills are critical for active learning environments where learners benefit from structured, engaging, and psychologically safe experiences.Implications for educatorsKey transferable SBME topics were identified for use in active learning environments outside of the simulation lab: (1) psychological safety, (2) facilitation strategies, and (3) communication techniques. Transferable tools and concepts were identified to promote efficacy and learner engagement during active learning in diverse environments. Simulation educators’ expertise is an underutilized resource for faculty development initiatives aimed at advancing active learning. This work advocates for leveraging simulation educators’ skills to close the active learning implementation gap, enhance learner outcomes, and meet the evolving needs of contemporary medical education.

Abstract Introduction: Glioblastoma (GBM) tumors contain distinct cell lineages, including treatment-sensitive cells (TSCs) relying on aerobic glycolysis and treatment-resistant persister cells (TRPCs) dependent on lipid metabolism. Our systems biology-based, spatial multi-omics and multi-targeted approach decodes a critical node in GBM progression, lipid acquisition in TRPCs, and validates this through a retrospective analysis of statin-treated patients, offering clinical insights into the potential benefits of targeting lipid metabolism in high TRPC signature GBM patients. Methods: We performed spatial transcriptomics and proteomics, combined with 3D rendering of the tumor microenvironment (TME) and geospatially resolved single-cell neighborhood analysis of IHC-stained GBM tissues using our custom-developed SNAQ algorithm to investigate the immune microenvironment and lipid distribution specific to TSCs and TRPCs. To characterize lipid dynamics, we employed flow cytometry, time-lapse imaging, and holotomography to track lipid transfer from Tumor-Associated Myeloid Cells (TAMCs) to TRPCs. A critical node for GBM progression was identified through in vivo survival and tumor progression studies that assessed effects of genetic targeting of CCR2 and pharmacological targeting of CSF1R and FABP3. Retrospective analysis was conducted on 4,085 GBM patients to evaluate the effect of statin treatment on GBM outcomes based on their TRPC signature. Results: Our study establishes the skewed accumulation of TAMCs within the TRPC microenvironment through upregulation of the CCL2/7-CCR2 and CSF1-CSF1R pathways. TAMCs actively transfer lipids to TRPCs to fulfill their metabolic demands. Targeting elements responsible for lipid incorporation in TRPCs, such as CCR2, CSF1R, and FABP3 in vivo, resulted in tumor immune microenvironment remodeling, significant tumor growth reduction, and improved survival. This reinforces the critical role of metabolic communications via lipid trafficking in TRPCs as an essential node in GBM progression. Our retrospective study showed that GBM patients with elevated TRPC signatures, typically associated with shorter survival, had no significant survival differences when treated with lipid-lowering statins. This suggests statins may disrupt lipid metabolism in TRPCs, reducing TAMC lipid support and improving patient outcomes. Conclusion: Our study highlights lipid trafficking in TRPCs as a key mechanism in GBM progression, suggesting that targeting TAMC recruitment and lipid acquisition in TRPCs may offer a promising therapy. Additionally, our retrospective analysis highlights the potential of transcriptomic profiling for patient stratification based on TRPC signature expression levels, enabling the identification of patients to benefit from lipid metabolism-targeted therapies. Citation Format: Avirup Chakraborty, Changlin Yang, Diana Feier, Aryeh Silver, Nyla T. Searl, Miruna Anica, Avinash Pittu, Illena West, Olusegun O. Sobanjo, Ethan D. Hodge, Mia K. Engelbart, Srabasti Sengupta, Nagheme Thomas, Christina Von Roemeling, Maryam Rahman, Matthew Sarkisian, Jianping Huang, Jeffrey Harrison, Duane A. Mitchell, Loic P. Deleyrolle. Disrupting lipid metabolism in GBM: A systems biology approach to targeting treatment-resistant persister cells and tumor associated myeloid cell-mediated support [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2):Abstract nr LB082.

Abstract Background: Given the dramatic rise in incidence of colorectal cancer in young adults, there remain limited treatment options effective in metastatic disease. Although T cell-based therapies have been successful in treating highly antigenic cancers, like melanoma and lung, they have not yet been shown to induce consistent and durable tumor regression in common epithelial malignancies, including metastatic colorectal cancer (mCRC). CISH (Cytokine inducible SH2 containing protein) is a novel intracellular checkpoint target demonstrating PD-L1 ligand independent mechanisms of enhanced anti-cancer activity. Given that CISH is not currently tractable via antibody or small molecule drug modalities, we employed CRISPR for precise inhibition of CISH in tumor infiltrating lymphocytes (TILs). Here, we provide the first clinical report of safety and anti-tumor activity of CISH edited TILs in 12 patients with metastatic gastrointestinal cancers (NCT04426669), including a clinical complete response (CR) in a young-adult patient with immunotherapy-refractory mCRC. Methods: Tumors were surgically resected for TIL harvest, followed by a rapid expansion protocol and CRISPR/Cas9 knockout (KO) CISH. CISH KO, neoantigen-reactive TILs were expanded, then infused following non-myeloablative lymphocyte depleting (LD) chemotherapy (cyclophosphamide & fludarabine) followed by high-dose IL-2. To establish mechanistic attribution of the CR, we used iR-RepSeq+ for serial analysis of the TCR immune repertoire. Results: Our CRISPR engineering led to KO of CISH in T cells with high-efficiency (&gt;90%) without detectable off-target editing. We safely dosed patients at all five dose levels (range: 1.91e8 to 9.93e10 cells). No dose-limiting toxicities attributable to the CISH-KO TIL product were observed. Adverse events were consistent with established risks of LD chemotherapy, IL-2, or disease progression. A durable ongoing complete response (&gt;21 months) was achieved in a patient with microsatellite instability-high (MSI-H) mCRC refractory to anti-PD1/CTLA-4 combination therapy. Conclusions: We provide the first clinical report of CISH checkpoint targeting via genetically modified T cell therapy, with complete response in a patient with mCRC. Persistence and expansion of unique TCR clonotypes detected in neoantigen responsive TIL was temporally consistent with spikes in CISH edited alleles detected by NGS assay; in the patient with CR, four of the clonotypes exhibiting prolonged persistence greater than one-year post-infusion exhibited significantly reduced or undetectable expression of CISH compared to the total infused TIL population. Given these findings, further investigation of CISH checkpoint inhibition, via gene and cell therapy, and next-generation small molecule drugging modalities, is underway. Citation Format: Emil Lou, Modassir S. Choudhry, Timothy K. Starr, Timothy Folsom, Jason Bell, Blaine Rathmann, Anthony P. DeFeo, Ji Hyun Kim, Nicholas Slipek, Zhaohui Jin, Darin Sumstad, Christopher A. Klebanoff, Katherine Ladner, Akshat Sarkari, R Scott McIvor, Thomas A. Murray, Jeffrey Miller, Madhuri Rao, Eric Jensen, Jacob Ankeny, Mahmoud A. Khalifa, Anil Chauhan, Benjamin Spilseth, Ajay Dixit, Paolo P. Provenzano, Wenjing Pan, Daniel Weber, Miranda Byrne-Steele, Tom Henley, David H. McKenna, Matthew J. Johnson, Beau R. Webber, Branden S. Moriarity. First-in-human trial in patients with metastatic colorectal cancer using CRISPR-engineered tumor infiltrating lymphocytes in which the intracellular immune checkpoint CISH is inhibited [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2):Abstract nr CT269.

Abstract Background: Chimeric antigen receptor T-cell (CAR T) therapies have demonstrated significant clinical efficacy in hematologic malignancies, but have proven challenging in solid tumors, in part owing to a lack of tumor-specific targets and unmanageable toxicity. Mesothelin (MSLN) expression normally is limited to the mesothelium of major body cavities but can be upregulated in diverse solid tumor types (cancer.gov/tcga), making it a potential target for cancer therapy. MSLN-targeted cell therapy approaches, including CAR T and T-cell receptor fusion therapies, have shown promising clinical activity; however, on-target, off-tumor toxicity including fatal events have occurred (Beatty, et al. Gastroenterology. 2018.; Haas, et al. Mol Ther. 2023.; Hong, et al. ESMO 2021. Abstract 9590.). A2B694 is an autologous logic-gated, MSLN-targeted Tmod CAR T therapy that addresses the challenges of on-target, off-tumor toxicity by combining 2 CARs: an activating and blocking receptor. The activator recognizes MSLN present on the surface of both tumor and normal cells; the blocker inhibits the CAR T activator when it binds human leukocyte antigen (HLA)-A*02, which is present in normal cells and often lost in tumor cells. Thus, in patients with tumor-associated HLA-A*02 loss of heterozygosity (LOH), the blocker prevents on-target, off-tumor toxicity on normal cells owing to retained HLA-A*02 expression (Hamburger, et al. Mol Immunol. 2020). Through this unique selective mechanism, A2B694 may provide a therapeutic window to treat patients with MSLN-expressing solid tumors exhibiting HLA-A*02 LOH. Methods: EVEREST-2 (NCT06051695) is a first-in-human, phase 1/2, open-label, nonrandomized study to evaluate the safety and efficacy of A2B694 in adults with recurrent unresectable, locally advanced, or metastatic cancers with MSLN expression, including non-small cell lung cancer, colorectal cancer, pancreatic cancer, ovarian cancer, mesothelioma, or other solid tumors with MSLN expression. Eligible patients must have progressed following standard of care therapy. Enrollment to EVEREST-2 occurs through the prescreening study BASECAMP-1 (NCT04981119), which identifies patients with tumor-associated HLA-A*02 LOH via next-generation sequencing (Tempus AI, Inc). Eligible patients enroll in the BASECAMP-1 study and undergo leukapheresis. A2B694 is manufactured from cryopreserved T cells when clinically appropriate for patients. The primary objective of phase 1 is to evaluate the safety and tolerability of A2B694 and identify the recommended phase 2 dose (RP2D). The dose-expansion phase will confirm RP2D and collect biomarker data to further characterize A2B694. Phase 2 will assess overall response rate per RECIST v1.1. The first patient was enrolled on EVEREST-2 in April 2024. Dose escalation is ongoing. Citation Format: Julian R. Molina, Antonious Hazim, Oliver Dorigo, Salman R. Punekar, Monica Avila, Diane M. Simeone, Kedar Kirtane, Gottfried E. Konecny, Jeffrey Ward, Matthew Block, Jennifer Specht, Leslie Boyd, Yanyan Lou, Jong Chul Park, Jacqueline D. Xuan, Ramez N. Eskander, Gayanie Ong, Marco Davila, Wendy Langeberg, Marcela Maus, Armen Mardiros, Frederick L. Locke, Andrea Wise, David G. Maloney, John Welch, J. Randolph Hecht. EVEREST-2: A seamless phase 1/2 study of A2B694, a logic-gated Tmod CAR T-cell therapy, in patients with mesothelin-expressing solid tumors with human leukocyte antigen-A*02 loss of heterozygosity [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_2):Abstract nr CT186.

Refractory ascites often requires therapeutic paracentesis, which is associated with potential risks and diminished quality of life. Terlipressin is a vasopressin analog that is indicated for i.v. bolus injection for hepatorenal syndrome, with the potential to reduce large-volume ascites and its complications. Continuous infusion of terlipressin is associated with fewer adverse effects than bolus dosing. The efficacy and safety of continuous infusion of a novel liquid formulation of terlipressin acetate (BIV201) were evaluated in this open-label phase 2 study. Patients with cirrhosis and refractory ascites were randomly assigned (2:1) to receive two 28-day cycles of continuous infusion BIV201 plus standard of care (SOC) separated by a ≤56-day washout (n=10), or SOC alone (n=5). Data analysis was limited by the small sample size and confounded by a potential interaction with gabapentinoids in the BIV201+SOC group. Nonetheless, there were differences in favor of BIV201+SOC versus SOC in the coprimary efficacy endpoints and several quality of life assessments. The beneficial effects of BIV201 on liver complications (mean: 90% CI; BIV201-completers=2.87: 1.51; 5.46 vs. SOC=2.38: 1.20; 4.73) and the change in cumulative ascites (mean: 90% CI; BIV201-completers=−10.76: −26.51; 5.00 vs. SOC=−4.99: −21.95; 11.97) were more pronounced versus SOC in the 5 BIV201+SOC patients who completed both treatment cycles. There were also greater improvements in exploratory quality of life assessments and the percent change in therapeutic paracenteses with BIV201+SOC (−27.94±41.80) versus SOC (−16.67±45.64). Despite the high rate of hyponatremia in the BIV201+SOC group (4/10 patients), the safety profile suggested that continuous BIV201 infusion was well tolerated. These findings support further development of BIV201 in confirmatory trials.

Abstract Aims To develop a deep learning model that: (i) utilizes transthoracic echocardiography (TTE) clips to detect left ventricular (LV) enlargement without being provided information regarding a patient’s sex and body size; and (ii) can be accurately applied to clips acquired using either standard comprehensive TTE or handheld cardiac ultrasound (HCU). Methods and results Using retrospective TTE data (training: 8722 patients; internal validation: 468 patients), we developed a deep learning model that estimates a patient’s end-diastolic LV volume (indexed to body surface area and normalized across the sexes), and then thresholds this estimate to perform the following classifications: (1) normally sized LV vs. ≥ mild LV enlargement; (2) normal/mildly enlarged LV vs. ≥ moderate LV enlargement. For retrospective datasets, the model showed strong performance in TTE across three geographically distinct locations (Minnesota and Wisconsin: 1082 patients, AUC = 0.925 and 0.953 for classifications 1 and 2, respectively; Arizona: 1475 patients, AUC = 0.935 and 0.969; and Florida: 1481 patients, AUC = 0.934 and 0.970). Additionally, performance was strong for both TTE and HCU clips collected from a prospective cohort of 410 patients who underwent HCU immediately following TTE (TTE: AUC = 0.925 and 0.971; HCU: AUC = 0.874 and 0.902, for classifications 1 and 2, respectively). Conclusion An automated deep learning model applied to TTE or HCU images accurately categorizes LV volumes. These results lay a foundation for future work aimed at optimizing clinical outcomes for heart failure patients by enabling early detection of LV enlargement across various point-of-care settings.