Citations

Abstract Immune effector cell–associated enterocolitis (IEC-EC) has been observed after ciltacabtagene autoleucel (cilta-cel [Carvykti]) chimeric antigen receptor T-cell (CAR-T) therapy. It is associated with dismal outcomes and is poorly characterized. Here, we examined its clinical features, risk factors, and proposed management strategies. Among the 229 consecutive patients who received cilta-cel at Mayo Clinic, 9 (3.9%) presented with a nonresolving, nonbloody, grade 3 diarrhea, often requiring prolonged total parenteral nutrition. Gastrointestinal coinfections were seen in most patients. Median time from CAR-T infusion to symptom onset was 85 days (range, 35-166), and there appeared to be a latency from symptom onset to endoscopic evaluation. Histopathology findings resembling a graft-versus-host disease pattern of mucosal injury were most seen on duodenal biopsies, whereas 2 cases had patterns akin to a T-cell lymphoproliferative disorder (1 CD4+ and 1 CD8+). Independent associated factors for IEC-EC included high-risk disease as defined by the International Myeloma Society and International Myeloma Working Group, prolonged cytokine release syndrome, and antecedent delayed neurotoxicity. Response to first-line therapy comprising IV or oral corticosteroids, bile acid sequestrants, IV immunoglobulin, and antimicrobial-directed therapy was poor, with no durable responses. Biologic therapy appeared to induce durable responses in 3 of the 5 patients (2/2 vedolizumab; 1/3 infliximab); none of the responders had gastrointestinal coinfection. Early gastroenterology input for endoscopic evaluation with the inclusion of duodenal biopsy is a key component for diagnosis. Early institution of biologic therapy after failure of a short course of corticosteroids should be considered.

ABSTRACT Background Delirium predicts adverse outcomes in older emergency department (ED) patients, but many acutely ill patients without delirium have underlying cognitive impairment that goes unrecognized. Whether cognitive impairment screening improves risk prediction beyond delirium remains uncertain. We compared practical bedside screening strategies for delirium, cognitive impairment, or both for predicting 90‐day functional decline and mortality in older adults admitted from the ED. Methods A prospective cohort comprising patients aged ≥ 65 years admitted from the ED of a large hospital in São Paulo, Brazil. Trained professionals screened for delirium using the brief Confusion Assessment Method (bCAM) and for cognitive impairment using the 10‐point Cognitive Screener (10‐CS). Patients were classified as having normal cognition (bCAM negative, 10‐CS > 5), delirium (bCAM positive), or cognitive impairment without delirium (bCAM negative, 10‐CS ≤ 5). Blinded investigators assessed decline in basic activities of daily living (ADL) and mortality within 90 days of admission. Fine‐Gray models (death as a competing risk) and Cox models estimated associations with outcomes, adjusting for sociodemographic and clinical factors. Results Among 830 patients (mean age = 80 ± 9 years; women = 47%), 427 (51.5%) had normal cognition, 171 (20.6%) had delirium, and 232 (27.9%) had cognitive impairment without delirium. Among delirium‐negative patients with cognitive impairment, 52% had no documented dementia diagnosis or reported memory problems. Compared with normal cognition, cognitive impairment without delirium was associated with 90‐day functional ADL decline (sub‐HR = 1.60; 95% CI = 1.03–2.49) and mortality (HR = 2.31; 95% CI = 1.18–4.51), with risks similar to those observed in delirium. A staged strategy (bCAM first, then 10‐CS if bCAM negative) showed higher discrimination than delirium‐only or 10‐CS‐only screening. Conclusions Cognitive impairment without delirium is common, often unrecognized, and predicts 90‐day adverse outcomes in older patients admitted from the ED. A brief staged screening strategy integrating delirium assessment with cognitive impairment testing among delirium‐negative patients may enhance early detection of cognitive vulnerability and support care planning.

Objective Gain‐of‐function variants in IDH1 and IDH2 are enriched among individuals with coexisting myeloid neoplasms and autoimmune diseases. However, the association between IDH1 / IDH2 variants and rheumatic diseases independent of hematologic neoplasms remains unclear. We investigated the association between rare gain‐of‐function and loss‐of‐function genetic variants in IDH1 and IDH2 and immune‐mediated rheumatic diseases. Methods Individuals with gain‐of‐function and loss‐of‐function variants in IDH1/IDH2 were identified by whole genome sequencing in the UK Biobank and the All of Us Research Program. These individuals were matched 1:10 to controls without IDH1 or IDH2 variants by age, sex, and ancestry. The frequency of immune‐mediated rheumatic diseases in the presence and absence of IDH1/IDH2 variants was compared using chi‐square or Fisher exact tests. Results Fifty‐five individuals with IDH1 or IDH2 gain‐of‐function variants without pre‐existing hematologic neoplasms were identified in the UK Biobank. These individuals had a significantly higher frequency of incident immune‐mediated rheumatic diseases compared to matched controls (11 of 55 [20%] vs 20 of 550 [4%], odds ratio [OR] = 6.6, P = 2.7 × 10 −5 ), mainly polymyalgia rheumatica (6 of 11) and rheumatoid arthritis (5 of 11). Replication in the All of Us cohort identified 65 individuals with gain‐of‐function variants and confirmed an increased odds of incident immune‐mediated rheumatic diseases compared to controls (OR = 7.7, P < 5 × 10 −4 ), predominantly rheumatoid arthritis. There was no association between loss‐of‐function variants in IDH1/IDH2 and immune‐mediated rheumatic diseases in either cohort. Conclusion Rare gain‐of‐function variants in IDH1 / IDH2 are associated with increased risk of immune‐mediated rheumatic diseases, particularly rheumatoid arthritis and polymyalgia rheumatica. image

Abstract High-grade serous ovarian cancer (HGSOC), the most prevalent and lethal ovarian cancer subtype, is typically diagnosed at an advanced stage due to the absence of effective early detection strategies. Mounting evidence indicates that HGSOC originates from the fallopian tube (FT), particularly from secretory epithelial cells in the fimbria. However, incomplete understanding of the cellular and molecular origins of HGSOC continues to hinder early interception efforts. To address this, we established a clinically and genetically annotated living FT organoid biobank at Mayo Clinic, representing over 200 patient donors. Using optimized enrichment protocols, we isolated FT epithelial stem/progenitor cells from tissue and Tao brushings, generating organoids independent of anatomical site or laterality that recapitulate native FT epithelial architecture and lineage differentiation. We applied integrated multi-omic analyses, including single-cell RNA sequencing, single-nucleus RNA/ATAC sequencing, and bulk RNA-seq, across fresh cells and organoids. Integration with public datasets produced the largest single-cell atlas of normal and high-risk FTs to date. This analysis defined high-specificity gene signatures for secretory and multiciliated lineages that outperform canonical lineage markers (e.g. PAX8, FOXJ1), identified lineage-defining transcription factors and regulatory networks, and showed concordant protein expression in the human FT epithelium. Notably, subcluster-level analysis revealed a rare hybrid epithelial-mesenchymal population transcriptionally and proteomically aligned with the mesenchymal-like subtype of HGSOC. Spatial immunoprofiling demonstrated that these cells express multiple defining markers and reside above the basement membrane, intercalated between epithelial cells and lack luminal contact, reminiscent of the histologically described peg cell population. Comparative analyses with fetal mesonephric tissues uncovered developmental parallels, and this population was stably maintained in 3D organoid cultures, providing a robust ex-vivo model to study early transformation. Together, our findings identify a rare, multipotent epithelial population with mesenchymal features as a candidate origin for mesenchymal-like HGSOC and establish the FT organoid biobank as a powerful platform for mechanistic and translational studies in ovarian carcinogenesis. Citation Format: Megan L. Ritting, Wenmei Yang, Syed Mohammed Musheer Aalam, Hui Zhao, Liang Feng, Jianning Song, Mihai G. Dumbrava, Wazim M. Ismail, Kenneth Schaufelberger, S. John Weroha, Scott H. Kaufmann, Alexandre Gaspar-Maia, Mark E. Sherman, Jamie N. Bakkum-Gamez, Nagarajan Kannan. A rare multipotent peg-like epithelial cell is a candidate cell-of-origin for high-grade serous ovarian cancer [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 7636.

Abstract Adipose‐derived cellular therapies (AD‐CTs) are increasingly used in orthopedics, yet the field lacks a standardized framework for classifying these heterogeneous products. Although prior efforts have standardized platelet‐rich plasma and bone marrow‐derived mesenchymal stromal cells, AD preparations remain inconsistently defined and poorly characterized. AD‐CTs encompass a range of products including enzymatically derived stromal vascular fraction, culture‐expanded adipose‐derived mesenchymal stromal cells (AD‐MSCs), and mechanically processed adipose tissue (AD‐MPT),each with distinct regulatory, cellular, and structural profiles. Unlike stromal vascular fraction and AD‐MSCs, which can be quantified using conventional assays, the intact extracellular matrix in AD‐MPTs complicates objective characterization. This paper introduces the Mechanical Processing (Harvesting) of Adipose Tissue classification system as a novel framework for standardizing the reporting of AD‐MPT harvesting and processing techniques that provides a structured approach to nomenclature and reporting. The system aims to enhance study comparability, facilitate research replication, and support the responsible advancement of adipose‐based therapies in musculoskeletal medicine.

Abstract Malignant histiocytic neoplasms (MHNs) are rare tumors derived from the mononuclear phagocyte system (MPS), encompassing histiocytic sarcoma, Langerhans cell sarcoma, interdigitating dendritic cell sarcoma, and other high-grade MPS lineage tumors. Despite advances in understanding histiocytic neoplasms, MHNs remain diagnostically challenging and lack standardized treatment algorithms. Current classification systems differ in lineage framing and fail to address mixed or ambiguous phenotypes, contributing to diagnostic uncertainty and inconsistent care. To address these gaps, the Histiocyte Society convened an international working group of pathologists and oncologists, including World Health Organization and International Consensus Classification contributors, to harmonize nomenclature, define minimum diagnostic criteria, and develop pragmatic treatment recommendations. Using a modified Delphi process and case-based review, the group formulated &gt;40 consensus statements spanning classification, pathology, molecular testing, clinical evaluation, and therapeutic strategies. Key recommendations include the adoption of a unified MHN designation, use of a minimum immunophenotypic panel, integration of broad molecular profiling, and the documentation of previous hematopoietic malignancy. Treatment algorithms emphasize surgical resection for unifocal disease and targeted therapy or immune checkpoint inhibition for multifocal disease when actionable mutations or programmed death ligand 1 expression are present. These consensus recommendations aim to reduce diagnostic ambiguity, standardize reporting, and improve outcomes for both pediatric and adult patients. Future priorities include international registries to refine risk stratification and biomarker-driven trials exploring targeted therapy, immunotherapy, and combination approaches.

Abstract Background: High-grade astrocytoma with piloid features (HGAP) is a recently defined tumor type that is not well-understood. Prognostic factors of clinical outcome are not well-established. Methods: Samples were processed at the National Cancer Institute (NCI) Laboratory of Pathology, and published samples were included (n=421). Methylation classifier scores of ≥0.90 to the HGAP class on the NCI-Bethesda classifier were included. Clinical features were collected from the medical record. Kaplan-Meier survival analysis as well as Cox-proportional hazards was performed. Results: The cohort comprised 421 patients. There was a high rate of ATRX alteration (62%), CDKN2A/B loss (78%) and MGMT promoter methylation (53%). MAPK alterations were identified in 74% of samples. The median age was 46 years, and posterior fossa location was predominant (52%). The median overall survival (OS) was 88 months. Older age (p = 0.01) and the presence of an ATRX alteration (p = 0.04) were found to be poorly prognostic. The presence of cystic features on magnetic resonance imaging (MRI) was found to be favorably prognostic (p = 0.01). Factors that were not significantly associated with survival included histologic anaplasia, CDKN2A/B homozygous deletion, MGMT promoter methylation and surgery type. Conclusions: Utilizing a relatively large cohort of HGAP cases, this work establishes relative frequencies of several important markers, and additionally suggests older age, the presence of an ATRX alteration, and cystic features on MRI as prognostic. Our work may aid in identifying treatment regiments for patients with this tumor type. Citation Format: Shuodan Zhang, Omkar Singh, Karen Dazelle, HGAP manuscript co-authors, Kenneth Aldape. High-grade astrocytoma with piloid features: a clinical and genomic analysis of prognostic factors using a large cohort [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Brain Cancer; 2026 Mar 23-25; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Res 2026;86(6_Suppl):Abstract nr A057.

Abstract Purpose: The Pancreatic Cancer Detection Consortium (PCDC) performed a blinded Early Detection Research Network–defined phase II biomarker bakeoff study of blood-based biomarker panels. The aims were to evaluate panel performance, to compare the panels’ performance with that of cancer antigen 19-9 (CA19-9) alone, and to evaluate the performance of new combinations of the individual biomarkers. Experimental Design: Ten biomarkers representing eight biomarker panels and CA19-9 were evaluated using plasma, serum, and germline DNA from 140 stage I to IV pancreatic ductal adenocarcinoma (PDAC) cases and 140 controls from three tertiary care institutions, with controls frequency matched to cases on age and sex. LASSO regression was employed to explore new biomarker combinations. The primary metric was area under the receiver operating characteristic curve (AUC). Results: The study population was 51% female, with median age 67.3 (minimum: 45, maximum: 90) years. Biomarker panel AUCs ranged from 89.9 to 96.3; the AUC for serum CA19-9 alone was 91.7 [95% confidence interval (CI), 87.8–95.6]. Two panels had significantly higher AUCs than serum CA19-9 alone, the CA19-9/FUT2/3 panel (AUC = 96.3, P = 0.002), and the tissue factor pathway inhibitor/tenascin C (TFPI/TNC-FNIII-C) panel (AUC = 95, P = 0.01). Exploratory models to recombine biomarkers retained all but two biomarkers [optimism-corrected AUC = 96.4 (94–98.9)]. Conclusions: The CA19-9/FUT2/3 panel was the best performing panel in this biomarker bakeoff. Its evaluation in larger studies is warranted. Biomarker bakeoffs are an effective strategy for comparing the performance of promising biomarkers for pancreatic cancer early detection, and the PCDC is well poised to conduct such studies. Recommendations for performing such studies are provided.

Abstract INTRODUCTION Cognitive impairment in hospitalized older adults without delirium is often undiagnosed. We evaluated the diagnostic accuracy and prognostic value of two brief bedside screening tools—the 10‐point Cognitive Screener (10‐CS) and Short Portable Mental Status Questionnaire (SPMSQ). METHODS Multicenter prospective cohort of 2003 patients ≥65 years of age without delirium, admitted to 43 hospitals in five countries of the Creating a Hospital Assessment Network in Geriatrics (CHANGE) Study. Screening was completed within 48 h of admission. Dementia was defined as informant‐based Clinical Dementia Rating ≥1. RESULTS Dementia prevalence was 22%, with 35% undiagnosed. Both tools showed good accuracy for detecting dementia, with the 10‐CS slightly more accurate than SPMSQ (area under the curve [AUC] = 0.87 vs 0.85; p = 0.02). After adjustment, cognitive impairment detected by either tool was associated with increased risk of incident delirium, hospital‐associated disability in self‐care activities, and 90‐day mortality, but not prolonged stay. DISCUSSION Brief bedside screening identified dementia and predicted adverse outcomes, supporting its integration into routine hospital care.