Citations

Background Carotid artery calcification represents a common feature of atherosclerotic plaques. However, the geometric relationships of calcific clusters have not been systematically investigated. This study aimed to develop a geometry-based atlas, independent of symptom status, characterizing the three-dimensional properties of calcium clusters within carotid plaques and quantifying population-level distributions and data-driven couplings between size, shape, and density. Methods Standardized three-dimensional calcium masks of clinical CT scans were analyzed using connected-component labeling. Extracted features included cluster volume, aspect ratio, eccentricity, compactness, and CT attenuation values (mean μ, standard deviation σ). Associations between cluster features were assessed using Spearman correlations with Benjamini–Hochberg false discovery rate correction. Independent associations were determined using partial Spearman correlation and restricted cubic spline regression. Results Among 107 plaques, 149 distinct clusters were identified, most frequently presenting as a single elongated cluster (aspect ratio = 2.23). Independent associations (all p < 0.001) were identified for: eccentricity with μ (ρ = −0.39), volume with μ (ρ = 0.47), compactness with μ (ρ = 0.39), and volume with eccentricity (ρ = 0.82). Multi-cluster plaques exhibited smaller mean cluster volume (76.1 vs 359.5 mm 3 ; p < 0.001) and lower eccentricity (0.5 vs 1.6; p < 0.001) compared with single-cluster plaques. Conclusion Carotid calcification most frequently manifests as a single elongated cluster, with robust couplings between cluster size, shape, and density. These geometric archetypes provide a quantifiable framework for future biomechanical and biological studies of plaque vulnerability.

Abstract Hairy cell leukemia (HCL) and HCL variant (HCLv) are distinct, rare, and chronic splenic B-cell lymphomas/leukemias that partially overlap in clinicopathologic presentation but differ in genetic basis, prognosis, and management. HCL is caused by the BRAF-V600E kinase–activating mutation in &gt;95% of the patients, usually has excellent responses to chemotherapy with purine analogues, and is also amenable to BRAF inhibitor–based targeted treatments. In contrast, HCLv lacks BRAFV600E mutation, requires combined therapy with purine analogues in addition to rituximab, and generally shows less durable responses. Here, an international team of hematologists, experts on these rare diseases, was convened by the Hairy Cell Leukemia Foundation to update the previous guidelines (published in 2017) by providing a summary of current methods to diagnose and manage patients with HCL and HCLv as well as a prospective on newer targeted therapies to further improve outcomes.

Abstract Introduction: Fibroblast growth factor receptor 2 and 3 (FGFR2 and FGFR3) are metabolic genes overexpressed in malignant epithelia. In colorectal cancer (CRC), intimate crosstalk between FGFR2/3 and epidermal growth factor receptor (EGFR) pathways has been suggested but is not fully elucidated. As a result, this study investigated associations between FGFR2/3 expression levels and clinical outcomes in patients with metastatic CRC (mCRC) enrolled in the phase III clinical trial CALGB /SWOG 80405. Methods: Data from 433 patients with mCRC enrolled in the CALGB/SWOG 80405 trial were analyzed. Patients received either bevacizumab (bev, n = 226) or cetuximab (cet, n = 207) plus chemotherapy as first-line treatment. Tumor RNA was extracted from FFPE samples and processed through the HiSeq 2500 (Ilumina) platform. Median overall survival (OS) and progression-free survival (PFS) curves were evaluated in all treatment subgroups and stratified according to high (H), medium (M), and low (L) FGFR 2 and 3 gene expression levels. Likelihood ratio tests, hazard ratios (HRs), and 95% confidence intervals (CIs) were calculated using Cox proportional hazards multivariate models, adjusting for age, sex, ECOG performance status, tumor location, number of metastatic sites, KRAS status, consensus molecular subtypes, and treatment arm. Results: Both FGFR2 and FGFR3 expression levels were associated with outcomes in patients treated with cetuximab. FGFR2-L tumors showed significantly longer OS compared to the M (HR = 1.04; 95%CI 0.71-1.51) and H (HR = 1.56; 95%CI 1.06-2.28) expression groups (35.7 vs. 31.2 vs. 23.7 months, p = 0.017). In contrast, FGFR3-L tumors were associated with shorter OS compared to the M (HR = 0.63; 95%CI 0.44-0.92) and H (HR = 0.59; 95%CI 0.41-0.85) expression groups (24.7 vs 32.4 vs 37.1 months, p = 0.0009). Significant differences in PFS were not observed. A nominally significant interaction was found between treatment and FGFR3 expression for both PFS (p = 0.02) and OS (p = 0.0003), but no interaction with FGFR2 expression. No significant associations were detected in patients treated with bev. Neither FGFR2 nor FGFR3 suggested to be prognostic markers after multivariate adjustment analyses. Conclusions: Our findings suggest a predictive role of FGFR3 in patients with mCRC undergoing anti-EGFR treatment. Differences in survival within the cet subgroup suggest that EGFR inhibitor efficacy may be modulated by FGFR2/3 signaling activity. Interestingly, FGFR2 and FGFR3 expressions were inversely and positively correlated with improved OS. The findings suggest that FGFR2 signaling minimizes the specific effects of cetuximab, while FGFR3 signaling amplifies its therapeutic effects. Further studies should determine whether these associations are seen in other anti-EGFR inhibitors and detail the mechanistic interaction between FGFR and EGFR pathways. Citation Format: Steve Soto Trujillo, Yan Yang, Michela Bartolini, Shivani Soni, Pooja Mittal, Fang-Shu Ou, Lesly Torres-Gonzalez, Unnati Hemant Shah, Jae Ho Lo, Yitzhar Goretsky, Wu Zhang, Alan Venook, Sandra Algaze, Joshua Millstein, Heinz-Josef Lenz. Differences in survival outcomes among metastatic colorectal cancer patients across fibroblast growth factor receptor 2 and 3 expression levels [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 6751.

Abstract Background. Mitophagy plays a crucial role in removing dysfunctional mitochondria to maintain cellular homeostasis but also has been implicated in cancer tumorigenesis. Previously, we showed that genetic variation in mitophagy pathway genes holds a predictive value in metastatic CRC (mCRC) patients (pts) treated with bevacizumab-based chemotherapy. In this study, we analyzed the correlation between tumor expression profiles of genes associated with PINK1/Parkin and BNIP3/NIX/FUNDC1 mitophagy pathways with clinical outcome in a large phase III randomized clinical trial CALGB SWOG 80405. Method. We analyzed 433 pts with mCRC treated with first-line chemotherapy in combination with the targeted agents bevacizumab (Bev, n = 226) or cetuximab (Cet, n = 207). Tumor RNA isolated from FFPE samples was sequenced using the HiSeq 2500 platform (Illumina). Median Overall survival (mOS) and median progression-free survival (mPFS) were compared across pts groups divided into high, medium, and low tertiles based on mitophagy-related gene (BNIP3, BNIP3L, PINK1, PRKN) expression levels. Likelihood ratio tests, hazard ratios (HRs), and 95% confidence intervals (CIs) were calculated using multivariable Cox proportional hazards models, adjusting for age, sex, ECOG performance status, tumor location, number of metastatic sites, KRAS status, Consensus Molecular Subtypes, and treatment arm. Results: Overall, BNIP3L demonstrated significant prognostic value for both PFS and OS after adjustment for multiple testing (false discovery rate [FDR] &lt; 0.05). Tumors with low BNIP3L expression showed longer PFS and OS compared to those with medium or high expression levels (mPFS 14.8 vs. 10.0 vs. 9.2 months, HR 1.16, 95% CI 1.04 - 1.29p = 0.0182; mOS: 37.4 vs. 30.2 vs. 24.4 months, HR 1.22, 95% CI 1.09 - 1.38, p = 0.0036), independent of treatment. In pts treated with Cet, high PRKN expression was associated with improved PFS and OS (mPFS: 8.9 vs. 10.3 vs. 14.6 months, HR 0.79; 95% CI 0.69 - 0.91, p = 7.3e-05; mOS: 21.2 vs. 27.7 vs. 41.1 months, HR 0.87; 95% CI 0.75 - 1.01, p = 0.00084), whereas low PINK1 expression was significantly associated with longer OS (mOS: 24.9 vs. 30.9 vs. 39.2 months, HR 1.23; 95% CI 1.04 -1.46, p = 0.013). No significant associations were observed in Bev-treated patients for PRKN or PINK1. No significant results were found for BNIP3 expression analysis. Conclusion. Mitophagy is a crucial player in CRC biology due to its tumor-intrinsic (mitochondrial bioenergetics) and microenvironment (interacts with immune components) effects. Our study highlights the prognostic value of BNIP3L and predictive potential of PINK1 and PRKN, suggesting a potential combinatorial therapeutic approach using mitochondrial targeting drugs and targeted agents e.g Cet, which warrants further investigation. Support: Genentech; Clinicaltrials.gov Identifier: NCT00265850 Citation Format: Shivani Soni, Yan Yang, Michela Bartolini, Pooja Mittal, Fang-Shu Ou, Lesly Torres-Gonzalez, Unnati Hemant Shah, Jae Ho Lo, Steve Soto Trujillo, Yitzhar Goretsky, Wu Zhang, Alan P. Venook, Sandra Algaze, Joshua Millstein, Heinz-Josef Lenz. Correlation of mitophagy related genes expression and clinical outcome in metastatic colorectal cancer patients enrolled in CALGB (Alliance)/SWOG 80405 [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 1011.

ABSTRACT BACKGROUND Increasing evidence suggests that accurate prediction of Alzheimer’s disease (AD) symptom onset requires more than amyloid- and tau-centric biomarkers such as cerebrospinal fluid (CSF) Aβ42/40, total tau and p-tau181 and plasma p-tau217. Autosomal dominant AD (ADAD), caused by pathogenic PSEN1, PSEN2 and APP mutations with predictable age at symptom onset, presents a unique opportunity to characterize the chronological changes in proteins beyond amyloid and tau and clarify them as early biomarkers of disease onset or as biomarkers related to disease staging and progression monitoring. METHODS We measured 972 CSF samples corresponding to 484 participants of the Dominantly Inherited Alzheimer Disease Network (DIAN) using the NULISASeq 120 CNS Disease Panel. We first benchmarked the technology against gold-standard measurements followed by the identification of proteins that were differentially abundant in relation to mutation status and symptomatology. Next, we determined the chronological emergence of protein changes in relation to the estimated years to onset (EYO). Finally, we assessed whether specific protein measures improved the prediction of EYO in the ADAD. FINDINGS NULISA measurements were comparable to those previously published. We demonstrated that known early alterations in CSF amyloid and tau were followed by inflammatory and neurodegenerative responses suggesting that clinical manifestation of AD happens before the inflammatory processes is fully developed. Finally, we found a multi-protein composite approach for predicting EYO that outperformed single biomarker values. INTERPRETATION Our results suggest that the main CSF proteomic landscape changes in ADAD are due to the presence of a pathogenic mutation and occur prior to symptom onset. Improved performance of multi-protein composite to predict EYO compared to single biomarker values highlights the added value of multiplex proteomic signatures for biomarker panel development. FUNDING National Institute on Aging, Alzheimer’s Association, German Center for Neurodegenerative Diseases, Raul Carrea Institute for Neurological Research, Japan Agency for Medical Research and Development, Ministry of Health & Welfare and Ministry of Science and ICT, Republic of Korea, Spanish Institute of Health Carlos III.

Abstract Echocardiography is the most widely used cardiac imaging modality, yet artificial intelligence-enabled interpretation remains limited by the inability of existing models to integrate visual assessment, quantitative measurement, and clinical reasoning within a unified framework. Here we present EchoAtlas, the first autoregressive vision-language model developed for echocardiographic interpretation. Trained on over 12.9 million question-answer pairs derived from approximately 2 million echocardiogram videos, EchoAtlas achieves 0.966 accuracy on multiple-choice questions in our internal test set and establishes a new state-of-the-art on the public MIMIC-EchoQA benchmark (0.699 vs. 0.508 previously). EchoAtlas also provides accurate quantitative measurements, segment-level regional wall motion assessment, longitudinal comparison, and diagnostic reasoning across diverse question formats — capabilities not previously demonstrated in this domain. These results highlight the potential of autoregressive vision-language models as a foundation for interactive echocardiographic interpretation, representing an early step toward scalable, auditable artificial intelligence systems in cardiology practice.

Abstract Purpose/Objective(s) To report outcomes for disseminated Medulloblastoma (stage M1-M3) who received radiation (RT) on the Pediatric Proton/Photon Consortium Registry (PPCR). Materials/Methods 71 patients were included with either M1 (6), M2 (21), or M3 (44) Medulloblastoma on PPCR. Survival (OS, Overall; EFS, Event Free) analyses were performed using the Kaplan Meier method and log rank p-values from RT start. Median follow up was calculated using the reverse Kaplan Meier method. Results Median age at RT was 7.5 years (range 2.4-21.89) and the median follow up was 4.3 years. Histology was classic (52), diffuse anaplasia (12), focal anaplasia (5), desmoplastic nodular (1), or other (1). Treatment included surgery, chemotherapy with or without stem cell support, and RT. 54 patients had gross total resection (GTR) or near total resection (NTR); 14 had subtotal resection (STR). Pre-RT chemotherapy was given in 69 (97.1%) patients; 23 had myeloablative chemotherapy with stem cell support. The 5 and 10-year OS of the entire cohort were 73% and 65%, and 5 and 10-year EFS were 65% and 59%. Patients with progression prior to RT (10 patients) had inferior OS (5-year OS 44%) compared to patients without progression pre-RT (5-year OS 78%, p = 0.045). There was a trend for better OS (p = 0.07) and improved EFS (p = 0.043) for M2 stage. GTR/NTR did not impact OS (p = 0.75) or EFS (p = 0.97) compared to STR. Craniospinal (CSI) radiation (70 patients, 99%) doses were: £ 23.4Gy (11.4%), 23.5Gy-36Gy (11.4%), or ³ 36Gy (74.3%). Patients receiving CSI ³ 36Gy had superior OS (p = 0.043), with 5 and 10-year OS of 82% and 71% compared to 5 and 10-year OS of 52% and 52% for lower dose CSI. Conclusion Full dose CSI (36Gy) for M1-M3 medulloblastoma was associated with excellent long-term survival this series, whereas lower dose CSI and progression prior to RT had inferior outcomes.

ABSTRACT Background Acute heart failure (AHF) exhibits marked heterogeneity in diastolic hemodynamics, yet comprehensive echocardiographic assessment of diastolic function (DF) and filling pressure (FP) is often infeasible. We evaluated whether artificial intelligence–enabled electrocardiography (AI-ECG) could provide scalable DF grading and FP estimation in hospitalized AHF patients. Methods We retrospectively studied adults hospitalized for AHF across Mayo Clinic sites (2013–2023) who received ≥1 dose of intravenous loop diuretic and had paired 12-lead ECG and TTE. The previously validated AI-ECG DF model was applied without retraining to generate four DF grades and a continuous FP probability. Clinical outcomes were all-cause mortality and heart failure rehospitalization. Associations with clinical severity markers and echocardiographic indices were examined. Kaplan–Meier survival analysis and adjusted multivariable Cox proportional hazards models were performed. Exploratory analyses examine the kinetics of change in FP probability and impact on mortality. Results Among 11,513 patients (median age 75 years, 39% female), AI-ECG DF grading was feasible in 100%, whereas echocardiographic DF was indeterminate in 44% of clinically eligible patients. In 2,582 patients with determinate echocardiographic DF, AI-ECG FP probability discriminated TTE Grade 2–3 dysfunction with AUC 0.85 (95% CI 0.83 – 0.86). Higher AI-ECG DF grades were associated with higher comorbidity burden, worse NYHA class, elevated NT-proBNP, higher MAGGIC scores, elevated PCWP, and more advanced structural remodeling. After multivariable adjustment, AI-ECG DF remained independently associated with mortality (hazard ratio [HR] 1.25, 95% CI 1.16–1.35 for Grade 2; HR 1.44, 95% CI 1.33–1.56 for Grade 3 versus Normal/Grade 1). Combining AI-ECG DF with MAGGIC scores yielded ordered risk gradients, with highest mortality in patients with both high MAGGIC and Grade 2–3 DF. Among patients with serial ECGs, improvement in FP probability was independently associated with lower mortality (HR 0.85, 95% CI 0.79–0.91), whereas worsening did not show a consistent adverse gradient beyond baseline DF. Conclusions In a large, geographically diverse AHF cohort, AI-ECG DF grading was universally feasible, correlated with established hemodynamic severity markers, and provided independent prognostic information beyond established risk factors, supporting its role as a pragmatic, scalable diastolic biomarker in AHF. CLINICAL PERSPECTIVE What Is New? In 11,513 hospitalized acute heart failure (HF) patients, artificial intelligence-enabled electrocardiography provided diastolic function grading in 100% of patients from a single 12-lead ECG without requiring additional clinical variables, compared with 56% feasibility for guideline-based echocardiography grading. AI-ECG diastolic function grades correlated with established marker of severity (NYHA functional class, NT-proBNP, MAGGIC risk scores, and pulmonary capillary wedge pressure) and remained independently associated with both mortality and HF rehospitalization after multivariable adjustment. Serial AI-ECG measurements identified post-discharge filling pressure trajectories, with improvement independently associated with 15% lower mortality, a first demonstration that longitudinal ECG assessment can track post-discharge hemodynamic recovery. What Are the Clinical Implications? AI-ECG transforms the universally obtained 12-lead ECG into an actionable hemodynamic biomarker that addresses the critical gap when echocardiographic diastolic function assessment is indeterminate or unavailable in acute HF patients. Despite markedly different hemodynamic severity and long-term outcomes across AI-ECG diastolic function grades, hospitalization length of stay did not differ, suggesting advanced diastolic dysfunction represents occult risk not easily recognized during routine acute care and highlighting the need for improved post-discharge risk stratification. The continuous filling pressure probability metric enables longitudinal monitoring of post-discharge hemodynamic status using serial routine ECGs, potentially identifying patients requiring intensified follow-up or specialist referral.

CD25 is a subunit of the interleukin-2 (IL-2) receptor on T cells and natural killer (NK) cells. Acute leukemias with oncogenic tyrosine kinases often include CD25 + leukemia subpopulations, which portend poor clinical outcomes for patients; however, acute leukemia cells do not respond to IL-2. Here, we identified CD25 and its phosphorylation by protein kinase Cδ (PKCδ) as central elements of a feedback loop that stabilized fluctuations in oncogenic tyrosine kinase signaling in acute lymphoblastic and myeloid leukemia. Genetic ablation of CD25 in murine and patient-derived xenograft (PDX) models of acute leukemias reduced clonal fitness, colony formation, and leukemia-initiation capacity in serial transplant recipients. Oncogenic tyrosine kinase signaling in leukemia cells stimulated NF-κB–mediated CD25 expression, whereas PKCδ-mediated phosphorylation of CD25 suppressed oncogenic tyrosine kinase signaling through inhibitory phosphatases, such as PTPN6. Interactome analyses and mass spectrometry–based global phosphoproteomic analyses showed that CD25 deletion abolished the phosphatase activity of PTPN6, resulting in enhanced activation of tyrosine kinases and NF-κB. Four injections of a CD25 antibody-drug conjugate induced complete remission in mice transplanted with PDX refractory leukemia. These findings highlight the dependency of tyrosine kinase–driven leukemias on robust feedback control and the role of PKCδ and CD25 in assembling its components.