Citations

Abstract Introduction Glioblastoma (GBM) is the most aggressive primary brain tumor in adults with an incident rate of 12,000 cases in the United States every year. Current treatment options for these patients include surgical resection, radiation, and chemotherapy. Despite these conventional treatments, patients have a dismal prognosis mostly due to the inability to deliver therapeutic agents across the blood-brain barrier. In recent years, the use of oncolytic picornavirus has been employed as a novel virotherapy for GBM. We hypothesized that we could enhance antibody delivery to the brain through harnessing the immune response associated with this oncolytic virus. Prior work from our lab has shown that CD8 T cell engagement with MHC class I on brain endothelium induces CNS vascular permeability which is dependent on perforin. We therefore asked if picornavirus antigen specific CD8 T cells could enhance antibody delivery to the brain. Methods To test this, we evaluated the potential of activating MHC class I restricted CD8 T cells in vivo through intravenous administration of their cognate picornavirus antigens. Results We determined that this approach enhanced delivery of antibody to brain parenchyma. Importantly, antibody delivery to the brain was still enhanced when CD8 T cells lacked perforin expression which significantly reduced the toxicity of this combination approach. Conclusion These findings demonstrate that theCD8 T cell response towards virotherapy can be harnessed to promote delivery of therapeutic antibody to the brain. Funding Source NCI — R01 CA 94953 NINDS — R01 NS122174 NINDS —R01 NS103212 Mayo Clinic Graduate School of Biomedical sciences Topic Categories Tumor Immunology: Checkpoints, Prevention, and Treatment (TIPT)

Abstract Introduction CD8 T cells are key immune cells in viral clearance, targeting infected cells following recognition of MHC class I restricted antigen presentation. Previous work has determined that microglia and perivascular macrophages are essential for normal CD8 T cell responses against neurotropic viral infection, indicating that cells at the neurovascular unit can act as antigen-presenting cells. However, the specific importance of microglia MHC class I restricted antigen presentation to brain-infiltrating CD8 T cells has been difficult to define. Methods To address this question, our laboratory generated novel single MHC Class I conditional knockout mice in which H-2Kb or H-2Db can be deactivated specifically in Tmem119+ microglia with tamoxifen administration. Recombinant Theiler’s murine encephalomyelitis virus (TMEV) encoding the model OVA antigen enabled analysis of virus antigen-specific CD8 T cells restricted to H-2Kb class I molecules while Daniel’s strain TMEV H-2Db class I molecules enabled analysis of Db:VP2 specific CD8 T cells. Results Our results revealed profound differences in the response of CD8 T cells upon deletion of MHC class I molecules on microglia. Conditional knockout of H-2Kb in Tmem119+ microglia reduced Kb:OVA epitope specific CD8 T cells in the brain compared to Cre negative littermate controls, and BrdU staining revealed differences in T cell proliferation. Meanwhile, mice with deletion of Db in Tmem119+ microglia had reduced levels of perforin in Db:VP2 CD8 T cells. Furthermore, in a model of CNS vascular disease, the deletion of H-2Db of Tmem119+ microglia reduced CD8 T cell numbers in the brain, as well as the blood-brain barrier (BBB) breakdown observed by a FITC albumin assay. Conclusion These findings demonstrate discrete roles for specific MHC Class I molecules on microglia during CNS viral infection. This data will further our understanding of brain infiltrating CD8 T cell responses in neurologic diseases as well as the regulation of BBB by microglia. Funding Source R01 NS 103212 R01 NS122174 Topic Categories Neuroimmunology (NEUR)

Abstract Introduction The anatomical locations of generating adaptive immune responses to neurotropic viruses are still being investigated. Skull bone marrow (BM) has recently been identified as a pivotal immune site that can sense and respond to a local insult in the brain. Yet, there is a lack of understanding of the role of skull BM during viral encephalitis. We hypothesized that the skull BM is an important niche for antiviral CD8 T cells priming, expansion, and maintenance during Theiler’s murine encephalomyelitis virus infection. Methods Using peptide:MHC tetramer analysis, we determined that antiviral CD8 T cells are primed in the skull BM in early infection, at time points comparable to cervical lymph nodes. Employing MHC class I conditional knockout mice generated by our research group, we inactivated H-2Kb and H-2Db class I molecules on discrete antigen-presenting cell types. Results We determined using these transgenic mice that viral antigen presentation on dendritic cells (DCs) and endothelial cells is essential for the generation of virus-specific T cells in skull BM during acute viral encephalitis. However, antigen presentation by DCs is not required for long-lived antiviral CD8 T cells that reside in skull BM. Moreover, the use of FTY720 to block lymphocyte migration diminished skull antiviral CD8 T cell numbers, suggesting that peripheral trafficking is required for generating skull antiviral CD8 T cells. Conclusion We present compelling evidence for the importance of skull BM as a responsive site that is highly suitable for rapid generation of antiviral CD8 T cells during acute viral encephalitis. Skull BM also serves as a reservoir for memory T cells, long after the resolution of a neurotropic virus infection. This work sheds light on the skull as a potential target for further modulation of the immune response to viral infections in the brain. Funding Source NIH grants R01 NS5103212 and RF1 NS122174 Topic Categories Viral Immunology (VIR)

Most genetic variants associated with complex traits are hypothesized to regulate gene expression. To understand the genetics underlying gene expression variability, we characterized 14,324 RNA-sequencing samples from the Trans-Omics for Precision Medicine program and performed expression and splicing quantitative trait locus (e/sQTL) analyses in six tissues and cell types, including whole blood ( n = 6454) and lung ( n = 1291). We detected tens of thousands of secondary cis-e/sQTLs, showing that secondary cis-e/sQTL discovery remains unsaturated. We fine-mapped UK Biobank–derived genome-wide association study (GWAS) signals from 164 traits and identified e/sQTL colocalizations for 10,611 GWAS signals, including 7096 that colocalize with secondary e/sQTLs. Our results suggest that even larger e/sQTL analyses will uncover additional secondary e/sQTLs, further benefiting GWAS interpretation.

Abstract Objective To describe the development and implementation of an automated platform for genomic risk prediction that integrates multiple data types. Materials and methods Using the REDCap infrastructure, we constructed the R4 (Recruitment, Results, and Risk Reduction) platform to intake data from clinical sites, partner laboratories, participant surveys, and electronic health record (EHR) data across 13 institutions. Results The R4 Portal successfully integrated data to generate genome-informed risk assessments (GIRAs) across 11 conditions for a 23 840 person cohort. Testing phases and quality control led to network-wide protocols ensuring consistency and accuracy. Discussion As the science of estimating disease risk evolves, standardized and high-throughput methods of collecting and manipulating complex data are required. Platforms should be open-source, modular, and reusable, ensuring flexibility, security, and integration across healthcare environments. Conclusion The electronic MEdical Records and GEnomics (eMERGE) network successfully generated and returned comprehensive risk profiles using logic and data specific to 11 conditions in a secure and semi-automated fashion employing a customized REDCap database.

Pulmonary developmental disorders comprise a heterogeneous group of congenital abnormalities involving the airways, lung parenchyma, pulmonary vasculature, or overlapping developmental pathways. Although these conditions commonly present during infancy or childhood, many remain clinically silent until adulthood, when they are discovered incidentally or manifest with recurrent respiratory symptoms such as infection, hemoptysis, or progressive dyspnea. These abnormalities may be broadly categorized into airway, vascular, parenchymal, and mixed developmental anomalies. Airway abnormalities include congenital tracheobronchomegaly, branching anomalies of the tracheobronchial tree, bronchial atresia, bronchogenic cysts, congenital pulmonary airway malformations (CPAM), and bronchopulmonary sequestration (BPS). Vascular anomalies include pulmonary artery sling, proximal interruption of the pulmonary artery, Scimitar syndrome, and meandering pulmonary veins. Parenchymal disorders encompass congenital lobar overinflation and pulmonary hypoplasia. Increasing recognition of overlapping lesions, particularly combinations of CPAM, sequestration, and bronchial atresia, has challenged traditional compartmental classification systems and supports a developmental spectrum model. This review synthesizes contemporary concepts regarding embryologic mechanisms, pathogenesis, imaging findings, and management of these entities in adults. Particular emphasis is placed on imaging evaluation with CT and MRI, updated terminology, evolving molecular understanding of CPAMs, including lesions with malignant potential, and distinctions between congenital sequestration and pseudosequestration. Recognition of these disorders and their associated anomalies is essential for accurate diagnosis, appropriate management, and surgical planning in adult patients.

PURPOSE Deficient mismatch repair/microsatellite instability (dMMR, MSI-H) in biliary tract cancers (BTCs) is observed in 1%-5% of tumors. MSI-H across solid tumors has demonstrated durable response to immune checkpoint inhibitors (ICIs) regardless of the anatomic location. Here, we describe clinical outcomes and surgical conversion of MSI-H BTC treated with ICIs. Patients and Methods We conducted a multicenter, retrospective analysis of BTC patients with dMMR/MSI-H between 2017 and 2024 at Mayo Clinic, University of Michigan, and University Hospitals Seidman Cancer Center. Outcomes of interest were surgical resection rate, rate of pathologic response, 2-year overall survival (OS; time from initiation of treatment to death/last follow-up), and time to treatment discontinuation (TTD; time from initiation of treatment to cessation because of any cause). Analyses were descriptive. RESULTS Thirty patients with MSI-H BTC were identified: 19 with cholangiocarcinoma, three with gallbladder cancer, and 8 with BTC undefined. The median age at diagnosis was 61.5 years (range, 26-86). Twenty-six (86.7%) patients had advanced stage at diagnosis. Twenty-seven patients (90%) received first-line systemic therapy, and 13 (48.1%) continued onto second line. Six patients (23.1%) were restaged to resectable from advanced disease after ICI therapy and underwent resection; all remained recurrence-free at last follow-up. Of these six patients, 3 (50%) achieved a pathologic complete response. Among those receiving first-line therapy, the median TTD was 9.9 months (95% CI, 5.7 to 14.5 months) and the 2-year OS was 73% (95% CI, 56% to 94%). CONCLUSION ICI therapy in patients with MSI-H BTC demonstrated durable response and downstaged some BTC to a resectable stage. dMMR/MSI-H should be performed up-front to guide treatment decisions.

Abstract Background Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome comprising multiple pathophysiological phenotypes. HFpEF trials have largely enrolled diverse populations and reported average treatment effects, consistently yielding neutral results that may obscure drug-specific benefits within distinct subgroups. To address this issue, we employ an interaction-based that incorporates treatment-by-variable interactions to uncover drug-specific responses. Methods We leveraged four HFpEF clinical trials (TOPCAT, RELAX, NEAT-HFpEF, INDIE-HFpEF) and developed a framework comprising two complementary approaches. The first employed a prognostic responder model to evaluate whether conventional responder definitions reflect treatment-specific benefit or instead capture favorable clinical trajectories common to both treatment and placebo groups. The second used an interaction-based individual treatment effect (ITE) modeling to identify baseline variables that modify therapy effect, distinguishing drug-specific response from prognostic phenotypes. Results Although the prognostic responder model demonstrated good discrimination, further analisys suggested it primarily captured a prognostic signal associated with favorable clinical trajectories common to both treatment and placebo arms. In contrast, the ITE model identified distinct, drug-specific effect modifiers across trials (cardiorenal-inflammatory for spironolactone (TOPCAT), NO-mediated anti-inflammatory for isosorbide mononitrate (NEAT-HFpEF), afterload-reducing for inorganic nitrite (INDIE-HFpEF), and anti–volume-overload for sildenafil (RELAX). Each ITE model demonstrated significance only within its own trial suggesting drug-specific signal. Conclusions The proposed method identifies mechanism-specific effect modifiers, and uncovers clinically meaningful heterogeneity in treatment response, which is not captured by conventional MCID-based approaches. Although exploratory, these findings support phenotype-guided therapy in HFpEF and argue for phenotype-informed trial design to enhance treatment-effect detection and therapy targeting. Graphical Abstract

PURPOSE Social determinants of health (SDOH) shape cancer treatment access, adherence, and outcomes, yet their collection and use within National Clinical Trials Network (NCTN) studies remain poorly defined. This study examined how demographic and SDOH-related variables were historically collected and published to identify gaps that constrain the study of social context within NCTN trials. METHODS Participant-level data from completed phase III trials for gastrointestinal (GI) cancers conducted by the Alliance for Clinical Trials in Oncology (Alliance) or its legacy groups from 1999 to 2018 were pooled. Thirteen measures were assessed: four demographic and nine SDOH-related. The proportion of individual participants with data collected for each measure was evaluated. Data utilization was evaluated for all primary articles and via targeted review of related publications using the number either reporting subgroups or publishing analyses for each measure. RESULTS A total of 12,701 participants across 11 trials were included. All trials collected demographic measures (<2% of patients missing), insurance status (1% missing), and ZIP code (3% missing). Education level was collected in two trials (28% missing) with marital and employment status collected in one trial (41% missing for both). No trials collected data on other SDOH-related measures. Education level was the only SDOH-related measure reported in primary articles, and none reported analysis of SDOH-related measures. Of the 149 related publications, <2% reported or analyzed any SDOH-related measure. CONCLUSION Across Alliance and NCTN legacy group phase III trials for GI cancers, demographic variables have been consistently collected and frequently reported or analyzed, whereas SDOH-related measures are inconsistently collected and rarely published in the literature. These findings demonstrate a historical absence of routine SDOH data capture and utilization within NCTN trials.