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Introduction Approximately 50% of patients with uveal melanoma develop metastatic disease, most commonly involving the liver, and prognosis remains poor. Immunoembolization (IE) is an established liver-directed therapy for patients with liver-dominant metastatic uveal melanoma (mUM), though comparative data with other regional therapies remain limited. We present a single-center retrospective analysis of IE in hepatic mUM and compare outcomes with those reported in the Phase 3 FOCUS trial evaluating melphalan via percutaneous hepatic perfusion. Methods All patients with liver-dominant mUM treated with IE between 2010 and 2023 at our institution were included. Clinical records were reviewed for demographics, tumor characteristics, treatment details, and outcomes. The primary endpoint was disease control rate (DCR), defined as complete response (CR), partial response (PR), or stable disease (SD). Secondary endpoints included progression-free survival (PFS) and overall survival (OS), with subgroup analyses based on prior systemic therapy exposure. Descriptive statistics were used for analysis. Results Forty-three patients (62.8% female; median age 62 years; all Caucasian) underwent 249 IE procedures (mean 5.8 procedures per patient) over a median treatment duration of 9.1 months. Choroidal primaries accounted for 95.3% of cases, and 90.7% had liver-only metastases. The overall DCR was 27.9% (CR 4.7%, PR 20.9%, SD 2.3%), while 62.8% experienced disease progression. Median PFS was 0.85 months, and median OS was 32.7 months. One- and two-year OS rates were 69.8% and 55.8%, respectively. In subgroup analysis, patients who had received prior systemic therapy (n=12) demonstrated improved outcomes compared with treatment-naïve patients, with longer median PFS (29.9 vs. 7.2 months) and higher 2-year OS (60.0% vs. 47.0%). Compared with outcomes reported in the FOCUS trial, IE demonstrated shorter median PFS (0.85 vs. 9.0 months) and lower DCR (27.9% vs. 73.6%), but longer median OS (32.7 vs. 20.5 months). Discussion IE produced overall survival outcomes comparable to hepatic melphalan delivery despite lower radiographic response rates. Notably, patients previously treated with systemic therapy experienced improved outcomes, suggesting a potential sequencing effect. These findings support IE as a viable liver-directed therapy for liver-dominant mUM. Prospective, multicenter trials are warranted to clarify optimal sequencing strategies and enhance therapeutic outcomes.

The major barrier to clinical translation of αCD137 immunotherapy is separating antitumor efficacy from hepatotoxicity driven by IFN-γ–producing CD8 T cells. We propose a strategy to limit toxicity by promoting contraction of excessively expanded CD8 T cells. We identify CD11c + KLRG1 + effector CD8 T cells (CD11c + T E ) as the primary source of IFN-γ, recirculating between blood and secondary lymphoid organs (SLOs), where they undergo apoptosis during contraction. We show that lymphotoxin β receptor (LTβR) signaling restrains this contraction. Mechanistically, lymphotoxin-expressing B cells activate LTβR in fibroblastic reticular cells (FRCs), suppressing apoptosis of CD11c + T E cells in the spleen and sustaining their systemic circulation and liver infiltration. Pharmacological LTβR blockade abrogates hepatotoxicity by reducing the accumulation of IFN-γ–producing CD11c + T E cells while preserving tumor-specific CD8 T cell responses. These findings identify LTβR as a key regulator of effector CD8 T cell persistence and support the use of LTβR antagonists to improve the safety of αCD137-based immunotherapy.

Abstract INTRODUCTION Repetitive head impacts (RHI) from contact sports may cause a unique pattern of white matter hyperintensities (WMH) on T2‐weighted fluid‐attenuated inversion recovery (FLAIR) magnetic resonance imaging (MRI), termed RHI‐associated WMH (RHI‐WMH). These lesions are punctate, circular, and located at the gray–white matter boundary, an area vulnerable to trauma‐related damage. METHODS We investigated the association of RHI with these lesions in two aging cohorts: (1) former American football players versus asymptomatic unexposed men and (2) individuals with RHI from various contact sports versus non‐RHI participants. RHI‐WMH were assessed using visual ratings and a novel automated quantification pipeline. RESULTS Individuals with RHI had greater RHI‐WMH by both detection methods in both cohorts. RHI‐WMH were associated with plasma neurofilament light and p‐tau231, and flortaucipir positron emission tomography (PET) uptake. DISCUSSION RHI‐WMH may represent a new supportive biomarker for the detection of RHI‐related neuropathologies later in life.

Abstract Real-time, proactive detection has become a necessity as health systems face converging pressures that legacy tools cannot solve: rising acuity, workforce strain, and persistent quality gaps that erode margins, capacity, and reputation. Clinical decision support has historically lagged because rudimentary rules-based systems drown clinicians in false alerts, eroding trust without reliably changing outcomes at the bedside. Bayesian Health’s real-time clinical intelligence platform was built to close this gap by continuously synthesizing multimodal EHR data (vitals, labs, medications, procedures, and longitudinal history) to learn patient-specific baselines and surface only the most actionable, high-precision signals to care teams. Across diverse health systems, this platform has been used to enable earlier recognition and intervention for a range of high-impact conditions, improving both bedside care and system performance. This talk will focus on concrete, real-world applications of the platform for sepsis, clinical deterioration, and palliative care needs, illustrating how earlier detection and workflow-integrated interventions drive measurable gains in clinical outcomes and margins, and why the value of early, precise detection is amplified in high-risk populations such as oncology patients, whose higher baseline acuity and treatment-related toxicities both elevate their risk of harm and make emerging deterioration harder to recognize. Case Study: Detecting Sepsis within a Oncology Patient Subpopulation. Background: Sepsis remains one of the leading causes of in-hospital mortality, and traditional rules-based alerts have struggled to deliver timely, actionable detection without overwhelming clinicians with false alarms. Oncology patients experience an elevated risk for sepsis and septic shock, and those who experience sepsis are more likely to suffer in-hospital mortality than non-cancer patients with sepsis. Early recognition of sepsis onset is challenging due to the overlap between signs of sepsis and inflammation and tumor- and treatment-related toxicities. We investigated the ability of Bayesian Health’s real-time artificial intelligence-based computational algorithm to perform timely detection of sepsis onset in hospitalized patients with cancer. This algorithm ingests data directly from the electronic health record, such as vital signs, laboratory results, medications, procedures, and patient-specific historical results, processing it in a continuous manner to flag presence of sepsis as early as possible. Methods: Analysis included 7480 adult emergency and inpatient encounters from three tertiary and quaternary academic centers (Cleveland Clinic Main Campus, Sinai Hospital of Baltimore, and Strong Memorial Hospital) and one community hospital (Cleveland Clinic Fairview Hospital) with sufficient data for inclusion (age ≥ 18, presence in an emergency or inpatient care unit, and at least one measurement of a panel of vital signs). Patients with cancer (including subgroups of solid tumor and hematologic malignancy) were identified by current or past recorded diagnoses (ICD-10 codes). All included patient records underwent a multi-tiered retrospective adjudication process. An automated screen labeled records with no evidence of infection or organ dysfunction as non-sepsis, removing them from need for manual review. Two independent physicians then adjudicated a sample of the eliminated records in addition to each remaining record for both presence of sepsis and time of onset, with a third physician reconciling disagreements. Evaluation of the algorithm included all discrete flags generated by the system during a period of time it was not in clinical use and not visible to care teams. Results: In the overall population, 3.1% of all patients and 6.0% of cancer patients were adjudicated to have had sepsis, including zero from a sample of 200 of the records marked as non-sepsis in automated screening. The detection algorithm identified sepsis with high and consistent accuracy across all patients and across cancer patients, including those with solid tumors and with hematologic malignancies (Table). A flag for sepsis occurred in 85.8% of all sepsis patients and 86.1% of cancer patients with sepsis within 4 days of sepsis onset. Sepsis was present in 24.2% of all cancer patients flagged (22.9% of solid tumor patients and 27.9% of hematologic malignancy patients). Compared to patients who were never flagged, all patients who were flagged, whether they had sepsis or not, were more likely to experience in-hospital mortality (7.9% vs 0.3%, p < 0.001) or ICU transfer (38.2% vs 7.9%, p < 0.001). This was also true within oncology patients (in-hospital mortality: 8.8% vs 0.4%, p < 0.001; ICU transfer: 34.7% vs 9.7%, p < 0.001). Implementation of an automated sepsis detection system with high accuracy in populations such as cancer patients, who have elevated risk of poor outcomes following sepsis, provides an opportunity to meaningfully improve timely delivery of care and reduce subsequent morbidity and mortality while minimizing alert fatigue for clinicians. Citation Format: Suchi Saria, Varesh Prasad, Nicasia Beebe-Wang, Ellie Zhang, Neri Cohen, David Graham, Conrad Gleber, James Morrison, Jacob Strand, Alexandra Tallman. Real-time multimodal AI enables individualized care in challenging subpopulations [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(8_Suppl):Abstract nr PL03-03.

BACKGROUND: The metabolic mechanisms underlying right ventricular (RV) dysfunction are poorly understood, particularly outside of group 1 pulmonary hypertension (PH). We aimed to identify metabolites and pathways associated with RV systolic function and explored whether associations differed by pulmonary vascular resistance, PH group 1 status, and sex. METHODS: We analyzed data from the multicenter PVDOMICS (Pulmonary Vascular Disease Phenomics) cohort. RV systolic function metrics included fractional area change (echo), global longitudinal strain (echo), and ejection fraction (cardiac magnetic resonance). We used linear regression adjusted for age, sex, body mass index, and PH group to assess associations between metabolites and RV function. Pathway enrichment analyses were used to identify pathways significantly associated with RV function. Interaction terms were assessed to determine whether metabolite associations were modified by pulmonary vascular resistance, group 1 PH status, or sex. Least absolute shrinkage and selection operator regression was used to develop metabolite-based scores for RV function, and prognostic performance was assessed. RESULTS: There were 979 participants with plasma metabolomics and RV function data. Linear regression identified 170 metabolites that were significantly associated with all 3 RV metrics. Androgenic steroid, gamma-glutamyl amino acid, polyamine, vitamin A, fatty acid, and sterol pathways are most strongly associated with RV systolic function. Two metabolites interacted with group 1 PH status, and 6 interacted with pulmonary vascular resistance. Four androgenic steroids are associated more strongly with RV systolic function in women compared with men. Metabolite-based scores were prognostically equivalent to RV systolic function metrics and less accurate than REVEAL Lite 2 scores. CONCLUSIONS: We provide a blueprint of metabolites and metabolic pathways associated with RV systolic function across the spectrum of PH. Novel links to vitamin A and glutathione metabolites were observed. We detected few metabolites that associated with RV systolic function differentially by group 1 PH status or degree of pulmonary vascular resistance elevation. Androgenic steroids may associate more strongly with RV systolic function in women compared with men.

Background/Aims: Infections with drug-resistant organisms (DROs) are associated with poor outcomes in cirrhosis. Rifaximin, widely used for hepatic encephalopathy (HE), could promote cross-resistance, but data regarding clinical impact are conflicting. Aim: Determine predictors of DROs in a global cirrhosis inpatient cohort focusing on preadmission rifaximin use.Methods: From the global CLEARED consortium, we focused on cirrhosis inpatients with infections on/during admission. Clinical/demographic/medication, especially rifaximin details were recorded. The primary outcome was DRO development. Multivariable regression for DRO including clinical, medications, and country income was performed.Results: 2,949 infected inpatients (55.3 years, 62.9% male) were included. 12.2% of all and 24.4% of culture-positive infections developed DROs; these patients had higher HE (39 vs. 31%, <i>P</i>=0.003), hepatorenal syndrome (25 vs. 19%, <i>P</i>=0.006), lactulose (55 vs. 47%, <i>P</i>=0.008) and rifaximin use (34 vs. 27%, <i>P</i>=0.006) on crude comparisons but country-income distributions were similar. 29.7% were on pre-admission rifaximin, mostly HE-related; they had more advanced cirrhosis and from low/low-middle-income countries. Daptomycin was used in 1.5%, linked with DROs (5.0 vs. 1.0%, <i>P</i><0.0001) without a difference in rifaximin use (1.4 vs.1.7%, <i>P</i>=0.61). On adjusted analysis, MELD-Na (1.03, 95% CI 1.02–1.04, <i>P</i><0.001) increased, whereas male sex (0.73, 95% CI 0.58–0.92, <i>P</i>=0.008) and hepatitis-B (0.65, 95% CI 0.45–0.92, <i>P</i>=0.020) decreased DRO. Rifaximin was not associated with DROs overall (OR 1.07, 95% CI 0.80–1.43, <i>P</i>=0.65) or within income strata (high: 1.07, 95% CI 0.59–1.92, <i>P</i>=0.82, upper-middle: 1.18, 95% CI 0.74–1.85, <i>P</i>=0.49, low/low-middle: 1.04, 95% CI 0.60–1.81, <i>P</i>=0.90) despite sensitivity analyses.Conclusions: In this large global cohort of hospitalized patients with cirrhosis and infections, 12% developed infections involving DROs. 30% had pre-admission rifaximin use which was not linked with daptomycin use or with DRO development on adjusted analysis overall or across country income groups.

Background Acute kidney injury (AKI) is associated with high morbidity and mortality in critically ill patients. Multicenter analyses describing the epidemiology of AKI in the cardiac intensive care unit (CICU) are scarce. Here, we describe the prevalence, predictors, and outcomes associated with AKI in a contemporary multicenter CICU population. Methods The Critical Care Cardiology Trials Network (CCCTN) is a collaboration of CICUs in North America coordinated by the TIMI Study Group (Boston, MA). We evaluated patient and hospital-level outcomes as a function of creatinine-only Kidney Disease: Improving Global Outcomes (KDIGO) AKI stage within the CCCTN registry. Logistic regression was used to assess associations with in-hospital mortality. Results Among 21 603 admissions, the overall prevalence of AKI was 23.7%, which was composed of KDIGO stage 1: 12.7%, stage 2: 1.7%, and stage 3: 9.2%. A higher prevalence and severity of AKI were seen in patients with baseline kidney disease, hypertension, or diabetes and in admissions with heart failure, cardiogenic shock, and cardiac arrest ( P < .001 for all). There was a stepwise increase in hospital mortality across AKI stages (stage 1: 23%, stage 2: 39%, stage 3: 42%; P < .0001). The increased risk of death associated with progressive AKI stage persisted after multivariate adjustment (adjusted OR: stage 1: 2.1, stage 2: 3.7, stage 3: 3.4). Conclusions AKI occurs in 1 in 4 admissions to the CICU, and a higher AKI stage is incrementally associated with in-hospital mortality, highlighting a need to develop strategies to mitigate AKI and its complications.

Abstract STUDY QUESTION What is the fertility preservation (FP) utilization rate among transgender and gender diverse (TGD) patients at the Transgender and Intersex Specialty Care Clinic (TISCC) within the Mayo Clinic? SUMMARY ANSWER The rate of utilization of FP services by TGD patients at Mayo Clinic’s TISCC was determined to be 6.62%. WHAT IS KNOWN ALREADY TGD patients encounter several barriers when pursuing FP, which may contribute to a lower utilization rate of these services. These barriers include financial constraints and lack of insurance coverage, as well as societal and healthcare provider attitudes; TGD individuals face discrimination or lack of understanding, making it uncomfortable or difficult to discuss FP options. Additionally, there continues to be a lack of inclusive policies and support within healthcare systems that can further impede access to FP services for TGD individuals. STUDY DESIGN, SIZE, DURATION The study was executed in two phases. In the first phase, a retrospective cohort study was completed with TGD patients who provided electronic health record (EHR) research authorization from Mayo Clinic’s TISCC in Rochester, MN between 1 January 2015 and 30 July 2021. Search terms related to FP were used to determine the FP utilization rate among this patient population. In the second phase of the study, two sets of patients, (i) patients who were included in the cohort study in Phase 1, and (ii) members of JASMYN, a community organization specializing in care and wellness coordination for Lesbian, Gay, Bisexual, and Transgender (LGBT) teens and young adults in North Florida. Individuals were invited to participate in a qualitative interview exploring their cumulative healthcare experiences accessing gender-affirming care. Interviews were conducted from January 2023 to June 2023. Interviews examined participants’ perceptions of FP options, motivations for pursuing FP, and barriers to accessing both gender and fertility care. When applicable, participants also discussed their experiences pursuing FP and reflected on their satisfaction with their fertility and family planning decisions. PARTICIPANTS/MATERIALS, SETTING, METHODS In phase 1, a total of N = 1189 patients sought care from Mayo Clinic’s TISCC in Rochester, MN. Out of these patients, N = 589 patients provided research authorization and were included in the retrospective cohort study. The study team assessed whether FP terms were mentioned in each patient’s EHR, and whether patients scheduled and attended appointments with either the Department of Reproductive Endocrinology or the Department of Urology. FP search terms included sperm cryopreservation, sperm extraction, sperm aspiration, testicular tissue cryopreservation, oocyte cryopreservation, embryo cryopreservation, and ovarian tissue cryopreservation. In phase 2, N = 36 participants were interviewed, with N = 25 participants recruited from Mayo Clinic’s TISCC in Rochester, MN, and N = 11 participants recruited from JASMYN in Jacksonville, FL. Participants recruited from the Mayo Clinic participated in a video-call-based interview and those enrolled from JASMYN were interviewed in person. MAIN RESULTS AND THE ROLE OF CHANCE The study team observed a 6.62% utilization rate of FP services among N = 589 patients (median age: 28 years; age range: 8–78 years) included in the retrospective cohort study. N = 39 patients completed FP, with N = 14 receiving these services at other institutions before seeking care with the TISCC at Mayo Clinic. N = 25 patients pursued FP services within the Mayo Clinic. Patients with testes were more likely to complete FP via sperm cryopreservation when compared to the utilization of egg cryopreservation among patients with ovaries. Participants who completed an interview in Phase 2 (median age 27 years; age range: 22–80 years) reflected on their decision on whether to preserve their fertility and what factors influenced these decisions, and how their satisfaction with this decision has changed over their lifespan. The major themes reported here include the desire for biological children, planning gender care around fertility desires, conversations about FP options, physical and psychosocial barriers to pursuing FP, reflections on personal FP decisions, and reflections on having to make decisions about FP at a young age. LIMITATIONS, REASONS FOR CAUTION All participants who completed an interview have done so voluntarily; as such, there is a possibility of selection and recall bias. WIDER IMPLICATIONS OF THE FINDINGS Findings suggest that there is a need for more structured conversations around FP when TGD patients seek medical and surgical gender-affirming care. Accessibility, including financial barriers and limited insurance coverage, continues to limit the utilization of FP services among TGD patients. Increased affordability through insurance coverage may additionally improve FP utilization. STUDY FUNDING/COMPETING INTEREST(S) This project was funded by the Mayo Clinic Department of Obstetrics and Gynecology and the Mayo Clinic Center for Clinical and Translational Science (CCaTS), grant number UL1TR002377. This project was also supported by Clinical and Translational Science Award (CTSA) Grant Number TL1TR002380 from the National Center for Advancing Translational Sciences (NCATS). Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the NIH. Felicity Enders reports grants from the National Institutes of Health and the Agency for Healthcare Research and Quality paid to her institution; speakers’ fees for lectures or presentations from Mount Sinai, University of Washington, University of Minnesota, University of Rochester, Cincinnati University, the National Institutes of Health, Duke University, Wake Forest University, the Patient Centered Outcomes Research Institute, Johns Hopkins University; travel support from the Association for Clinical and Translational Science and Cold Spring Harbor Laboratory; and an unpaid leadership role on the Board of Directors of the Association for Clinical and Translational Science. All other authors declare no conflicts of interest. TRIAL REGISTRATION NUMBER N/A.