Citations

Abstract Purpose: Circulating tumor fraction estimate (ctFE) is a machine learning–derived composite metric of circulating tumor DNA (ctDNA) burden. We hypothesized that pre-treatment and early on-treatment ctFE could robustly risk-stratify patients with locally advanced (LA) and oligometastatic non–small cell lung cancer (NSCLC) treated with radiotherapy (RT). Experimental Design: In a prospective phase II clinical trial (NCT03916419), 26 patients with unresectable stage IIB to IIIC NSCLC received magnetic resonance (MR)-guided hypofractionated chemoradiotherapy (chemoRT) followed by immunotherapy. Plasma ctDNA was profiled at baseline and mid-treatment (days 10–14) to derive ctFE and maximum variant allele frequency (Max VAF). A burden-based ctFE threshold derived from baseline samples was applied unchanged to mid-treatment samples and validated in two external cohorts: LA NSCLC treated with chemoRT (LA-RW; n = 94) and oligometastatic NSCLC treated with RT (OM-RW; n = 309). Results: Pre- and mid-treatment ctFE burden strongly stratified overall survival (OS) and progression-free survival (PFS), outperforming Max VAF and ctFE detectability. The baseline ctFE was prognostic for OS (HR 5.93, P = 0.005) and PFS (HR 11.08, P < 0.001) and remained significant at mid-treatment (OS: HR 7.08; PFS: HR 12.06; both P < 0.001). Early ctFE dynamics defined three molecular response groups with OS separation (median OS 60.8 vs. 13.0 vs. 2.9 months; P < 0.001). ctFE remained associated with survival in both validation cohorts. Conclusions: Early ctFE derived from a clinically available, tumor-naïve ctDNA assay enables noninvasive risk stratification in LA and oligometastatic NSCLC treated with RT, supporting its use as a practical biomarker for precision treatment adaptation.

Abstract Objective We evaluated the quality and adoption of a large language model (LLM)-based summarization tool for ongoing hospital care. Materials and methods An AI summarization tool was created to provide a “Patient Story”, specialty-specific “Recent Notes”, and “Recent Events” over the previous 24 or 72 hours. We conducted a pragmatic mixed-methods quality assessment at three tertiary-care academic hospitals utilizing (1) Provider Documentation Summarization Quality Instrument (PDSQI-9), (2) utilization analytics, and (3) qualitative end user feedback. The PDSQI-9 included whether summaries were accurate, cited, comprehensible, organized, succinct, non-stigmatizing, synthesized, thorough, and useful. 512 users were given access, from whom 52 participants submitted 205 surveys (10.2% response rate). Results 52 respondents submitted an average of 4.3 surveys (range 1–8). Users rated the tool favorably across all PDSQI-9 domains, with a combined average score of 4.68 (range 4.56–4.78, S.D. 0.67) across the eight domains scored on a 5-point modified Likert scale. Utilization metrics demonstrated strong uptake with frequent views. Positive qualitative feedback revealed cognitive offloading for complex patients and effective summarization of medical problems. Critical feedback showed a need to cross-reference narrative notes to current-state data and lack of detailed specialty-specific summarization. Discussion Generative artificial intelligence has emerged as a potentially transformative technology for generating succinct, verifiable summaries of ongoing care. In this pragmatic implementation, end-users indicated high perceived quality across PDSQI-9 domains. Conclusions An LLM-based summarization tool for ongoing hospitalization care was rated of high quality by diverse clinicians in real-world settings, demonstrated a favorable safety profile, and showed sustained utilization.

ABSTRACT Pancreatic islet transplantation can restore endogenous insulin production and offers a potential cure for diabetes, but its clinical impact has been limited by the inability to preserve large numbers of functional islets for timely use. Cryopreservation could provide an on-demand supply, yet conventional methods cause ice formation, cell injury, and loss of insulin secretion. We developed CryoMesh, a vitrification platform that combines a low-toxicity cryoprotectant with a thermally conductive, biocompatible mesh to enable ultra-rapid cooling and rewarming for ice-free cryopreservation. This approach supports long-term, clinical-scale preservation of both human pancreatic and stem cell–derived islets while maintaining viability, architecture, mitochondrial integrity, and glucose-responsive insulin secretion. Human islets preserved for up to one year restored normoglycemia in diabetic mice, with complete recovery of function and no increase in immunogenicity or loss of potency. The combination of high viability, recovery, and functional preservation at clinical scale has not been achieved previously. By decoupling islet isolation and manufacture from transplantation, CryoMesh enables extended quality, potency, and safety testing, cost-effective batch production, and global banking and distribution. These capabilities remove a major barrier to curative cell therapy for diabetes and establish a generalizable strategy for preserving complex multicellular therapeutics. One Sentence Summary A clinical scale vitrification platform enables long-term banking of human pancreatic and stem cell–derived islets for transplantation.

Abstract Purpose: Immune checkpoint blockade (ICB) induces frequent and durable responses in metastatic deficient DNA mismatch repair (dMMR) colorectal cancer, yet substantial molecular heterogeneity and resistance remain. We sought to identify candidate tumor- and immune-related biomarkers associated with clinical outcomes following anti–PD-1 therapy. Experimental Design: Consecutive patients with metastatic dMMR colorectal cancer (N = 39) treated with anti–PD-1 therapy underwent tumor profiling using a validated immune-enhanced exome and transcriptome platform. Microsatellite instability (MSI) burden was quantified as the percentage of unstable microsatellite loci using MSIsensor-pro. Associations with objective response were evaluated, and progression-free survival (PFS) and overall survival (OS) were analyzed using Cox proportional hazards models. Results: Higher MSI burden was associated with improved objective response (P = 0.018) and survival. The dichotomized MSI level (Q2–4 vs. Q1) was associated with longer PFS [hazard ratio (HR), 0.18; 95% confidence interval (CI), 0.06–0.56; P = 0.003] and OS (HR, 0.20; 95% CI, 0.07–0.58; P = 0.003), with similar results when modeled continuously. MSI burden correlated with neoantigen clonality but not burden (R = 0.53, P = 0.01). Responders exhibited significantly greater T-cell receptor repertoire diversity; both T- and B-cell receptor diversities were associated with survival. Although human leukocyte antigen (HLA) A, HLA-B, and HLA-C expression was not prognostic, the HLA-B*07:02 allele was associated with the best overall response. In contrast, overexpression of immune exhaustion–related genes and cytotoxic T-cell and natural killer cell exhaustion phenotypes were associated with ICB resistance and poorer prognosis. Conclusions: Integrated exome/transcriptome profiling with MSI quantification identified MSI burden and adaptive immune repertoire diversity as potential correlates of response and survival following ICB. These findings suggest a mechanistic link among genomic instability, antigen recognition diversity, and immunotherapy benefit.

Abstract Problem The Association of American Medical Colleges has urged actions to promote inclusivity in medical education for historically underrepresented groups. Studies suggest that underrepresentation may be addressed through structured mentorship and workshops at the premedical level and generate interest in less familiar specialties including physical medicine and rehabilitation (PM&R). Approach The authors implemented a novel half-day multi-institutional workshop in spring 2024 featuring physicians and medical students from New York City medical centers. The workshop included structured mentorship and pertinent PM&R-related topics, including disability health and adaptive sports, to which premedical students often have limited exposure. Participants were invited to complete pre- and postworkshop surveys to evaluate the workshop’s impact. The authors collaborated with prehealth chapters of organizations such as the American Medical Women’s Association and the Minority Association of Pre-Medical Students to distribute surveys. Outcomes The preworkshop survey was completed by 147 premedical students, and 81 registered for the workshop. Ultimately, 55 attended the workshop, with 71% completing the postworkshop survey. Most participants had no previous exposure to PM&R (n = 77, 53.5%) and to adaptive sports (n = 116, 80.6%). Furthermore, although 76 (52.8%) had shadowed a physician, only 6 (4.2%) had experience shadowing a PM&R physician. The authors gathered a diverse representation of responses, including those identifying as female (n = 119, 81.0%) and underrepresented in medicine (n = 84, 57.1%). Pre–post comparative analysis showed a statistically significant rise in students’ motivation to apply to medical school (P = .018), along with a statistically significant increase in the interest and understanding of PM&R and adaptive sports (P < .001). Next Steps Future work will focus on developing longitudinal mentorship, improving accessibility through hybrid formats, and expanding the curriculum through interspecialty collaborations to support broader implementation and evaluation.

Abstract Background Red cell alloimmunization complicates sickle cell disease (SCD) management despite current widespread prophylactic Rh/K matching in the United States (US). Regional antibody patterns remain poorly characterized. Study Design and Methods We conducted a retrospective analysis of 2965 SCD patients from 9 US sites (2010–2022). All hospitals prophylactically match for Rh and K antigens. Each site collected demographics, antigen status, antibody histories, and antibody screen results from their laboratory information system. Results Overall antibody prevalence was 29.7% with dramatic institutional variation (17.9%–56.0%). Alloantibody prevalence was 27.5%. Most autoantibody‐positive patients (74.23%) also had alloantibodies, identifying a high‐risk population. A third of patients with positive antibody histories had negative screens. Pediatric patients showed markedly different antibody profiles than adults. Hospitals’ antibody patterns clustered by patient age rather than geography. Rh and K antibodies were the most common and also most likely to co‐occur, followed by S, Fya, and Jkb antibodies. Antibodies against Jsa (1.82%), V (1.75%), and Kpa (1.69%) were more prevalent than anti‐Jka (1.28%). Despite regional antibody variation, antigen frequencies remained overall consistent. In antigen–antibody pairwise comparisons, 3.15% were antigen‐negative and antibody‐positive reflecting alloimmunization; 0.47% were both antibody‐ and antigen‐positive, suggesting partial/variant antigens. Discussion Substantial institutional variation in antibody prevalence suggests need for site‐specific approaches to testing and prophylactic matching. High co‐occurrence of auto‐ and alloantibodies, antibody immunogenicity patterns, and antigen–antibody discordances support the need for further research and consideration of refined testing and/or matching strategies beyond the current Rh and K standard.

Current spatial T cell receptor (TCR) profiling approaches lack the resolution needed to link clonal identity, transcriptional state, and spatial positioning of individual T cells in the tumor microenvironment. Here, we introduce a spatial TCR profiling strategy that resolves individual T cell clones together with their transcriptional states at single-cell resolution and applied the method to human head and neck squamous cell carcinoma. Presumed tumor-specific T cells were broadly dispersed throughout the tumor microenvironment, and cells of the same clone occupied distinct transcriptional states in different locations: Immune-rich regions contained more plastic or progenitor cells, whereas tumor-dense regions were enriched for exhausted states. Patients exhibited notably different spatial architectures of antitumor T cell responses, revealing variation that was not captured by high-resolution, spatially agnostic methods such as spectral flow cytometry and single-cell RNA sequencing. These results provide a blueprint for dissecting antigen-specific T cell states in human tumors and reveal how T cell states are spatially coordinated with local cues across the tumor microenvironment.

Background Psychiatric comorbidities are increasingly recognised in demyelinating diseases, yet their frequency and timing in myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD) are not well defined. We aimed to characterise the spectrum and temporal pattern of psychiatric illness in MOGAD and compare to multiple sclerosis (MS) and neuromyelitis optica spectrum disorder (NMOSD) with aquaporin-4 antibody (AQP4-IgG). Methods We conducted a cross-sectional study of patients with MOGAD (n=388), age-matched and sex-matched MS (n=257) and AQP4-IgG-positive NMOSD (n=58) evaluated at Mayo Clinic (1991–2025). Psychiatric diagnoses, timing relative to the first attack and patient-reported outcomes were extracted from electronic health records (EHRs). Complementary analyses were conducted using the NeuroBlu real-world EHR database. Results Among 388 patients with MOGAD, 54.8% had ≥1 psychiatric disorder, most commonly anxiety (47.7%), depression (36.6%) and attention-deficit/hyperactivity disorder (ADHD, 9%). After the first attack, 33.3% of patients with MOGAD developed a new psychiatric disorder, often within the first year. MOGAD showed a lower frequency of depression versus MS (36.6% vs 47.5%, p=0.02) but similar rates of anxiety and ADHD. Temporal patterns differed: psychiatric disorders often appeared years before onset in MS but clustered shortly after onset in MOGAD. NeuroBlu analyses supported high rates of psychiatric disorders across the three conditions. Conclusion Psychiatric comorbidities are common in MOGAD, particularly depression and anxiety, typically emerging close after onset, whereas in MS they often preceded onset by years. These findings underscore the need for routine psychiatric screening in MOGAD and highlight unresolved questions regarding whether, and to what extent, MOG-IgG-mediated inflammatory demyelination contributes to psychiatric vulnerability.

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.