Citations

Abstract Prostate-specific membrane antigen (PSMA) is highly expressed in tumor-associated neovasculature in hepatocellular carcinoma (HCC), highlighting its promise as a theranostic target. This prospective study aimed to evaluate the utility of novel biomarkers derived from PSMA positron emission tomography computed tomography (PET/CT) to assess treatment response in advanced HCC patients (pts) receiving first line immune checkpoint inhibitors (ICI). Methods: This study (NCT05176223) enrolled unresectable, advanced HCC pts eligible for first-line ICI (atezolizumab/bevacizumab [A/B] or durvalumab/tremelimumab [D/T]) with measurable disease according to RECIST criteria. Primary endpoints: progression-free survival (PFS) per RECIST 1.1 and mRECIST; overall survival (OS); and best overall response. The survival distribution was estimated using the Kaplan-Meier method. Observed agreement is defined as the proportion of pts whose responses, as classified by PET/CT or CT, were concordant. Weighted kappa and Cohen’s kappa were used to quantify the strength of agreement between PET/CT and CT. Pts completed up to five 68Ga-PSMA PET/CT scans and blood collections. Results: Twenty-six pts were enrolled (25 evaluable) between Oct 2022 and Nov 2024. Median follow up was 22.1 months (m) (Q1, Q3: 14.5-23.7). Median age 68 yrs, 72% male, 88% White, 68% Child-Pugh [CP] A, 32% CP B, 32% Barcelona Clinic Liver Cancer [BCLC] stage B, 68% BCLC stage C, 36% with microvascular invasion; 56% received A/B and 40% received D/T treatment. PSMA was positive in 96% of pts at baseline with median SUVmax 14.3 (range 5.1-40.5) and median background liver SUVmax 3.9 (range 2.1-6.8). Median (95%CI) PFS was 5.6 m (4.6-12.5) by both RECIST and mRECIST. Median (95%CI) OS was 18.6 m (7.2-not estimable), with 56% deceased. The observed agreement between PET/CT adapted PERCIST criteria compared to RECIST and mRECIST in determining the best response was 46% and 50% and weighted kappa of 0.63 (95% CI: 0.37-0.90) and 0.66 (0.41-0.92), respectively. Observed agreement between PERCIST compared to RECIST and mRECIST for responders’ assessment was 67% and 71% with Cohen’s kappa of 0.36 (0.03-0.68) and 0.43 (0.11-0.76), respectively. Conclusion: In this cohort, PSMA PET/CT avidity was observed in all but one pt with advanced HCC, each demonstrating moderate to high SUVmax values. Median OS and PFS were consistent with outcomes reported in clinical trials. Response assessment using 68Ga-PSMA PET/CT according to PERCIST criteria showed good concordance with both RECIST and mRECIST standards. Analysis of immune biomarkers is ongoing. Citation Format: Nguyen H. Tran, Jacob Hirdler, Ajith Antony, Jacob Teske, Sudhakar K. Venkatesh, Amit Mahipal, Michael S. Torbenson, Scott M. Thompson, Thor R. Halfdanarson, Zhaohui Jin, Lionel Aurelien Kankeu Fonkoua, Leslie A. Washburn, Alexander Revzin, Haidong Dong, Robert R. Mcwilliams, Aminah Jatoi, Hani M. Babiker, Mitesh J. Borad, Tanios Bekaii-Saab, Gregory J. Gores, Lewis R. Roberts, Geoffrey B. Johnson, Ajit H. Goenka. Prospective evaluation of 68Ga-PSMA PET imaging in advanced hepatocellular carcinoma patients undergoing first line immunotherapy [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 2611.

Abstract Purpose: Glioblastoma (GBM) is the most common and aggressive primary malignant brain tumor, with a median survival of only 15 months. Effective therapeutic advances remain limited, with few clinical trial patients exhibiting robust responses to experimental therapies. This has led to efforts to identify molecular biomarker signatures capable of stratifying patient responses either prognostically (pre-treatment) or diagnostically (post-treatment). This study aims to assess the robustness and reproducibility of published transcriptional GBM biomarker signatures for predicting clinical outcomes in GBM trials. Methods: We analyzed published RNA-seq data from 4 clinical trials involving oncolytic virotherapy and immune checkpoint inhibitors, as well as multiple cohorts of patients treated via the Stupp protocol. The performance of reported immune gene signatures was evaluated across all datasets using both grouped and continuous survival modeling. Intra-patient signature variation between different biopsy sites and timepoints was assessed using longitudinal, multi-site sampling collected by the Break Through Cancer Accelerating GBM Therapies TeamLab. LASSO, multivariate Cox regression, and risk scoring with FDR adjustment were used to identify novel signatures with cross-cohort utility. Key Findings: No single published signature consistently predicted survival across all analyzed trials. A post-treatment ssGSEA antitumor cytokine signature that was associated with survival in the CAN-3110 OV trial (R = 0.74, p < 0.01) was also significantly associated with improved survival in an adjuvant anti-PD1 trial (R = 0.75, p = 0.03) and neoadjuvant anti-PD1 trial (R = 0.30, p = 0.05), but not in standard-of-care controls. PAM clustering of MCP immune signatures, as reported for the DNX-2401 OV+Anti-PD1 trial, also stratified post-treatment survival in the CAN-3110 OV trial (p < 0.01), with the coldest TME subtype consistently predicting worse survival. However, the prognostic value of the most immune enriched TME subtype was inconsistent and did not extend to the Anti-PD1 trials. Furthermore, multi-site, longitudinal biopsy samples revealed marked heterogeneity in biomarker signatures between biopsies from individual patients, even when assessed at the same timepoint. We’ve identified several candidate transcriptomic signatures that show promise for generalizable prognostic value in GBM patient cohorts and are characterizing their spatiotemporal variability. Conclusions: While no individual immune signature is universally predictive in GBM immunotherapy, certain post-treatment cytokine signatures and TME stratifications are significant in multiple immunotherapy contexts, though not in standard-of-care patient cohorts. Marked spatiotemporal heterogeneity in these signatures underscores the need for composite prognostic markers resilient to sampling variance. Citation Format: Christopher M. Jannotta, C Zoe Linke, Charles A. Whittaker, Vikas Patil, Accelerating GBM Therapies TeamLab, Farshad Nassiri, Gelareh Zadeh, E Antonio Chiocca, Alexander L. Ling. Assessing biomarker reproducibility for glioblastoma patient response stratification [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 1055.

A bstract Alzheimer’s disease (AD) presents with substantial clinical and anatomical heterogeneity, including both typical amnestic and atypical variants such as posterior cortical atrophy and logopenic primary progressive aphasia. Although neurofibrillary tangle (NFT) burden is a defining pathological feature of AD, its regional distribution varies across clinical phenotypes, suggesting that selective neuronal vulnerability may shape disease presentation. However, the cellular and molecular determinants underlying this vulnerability remain incompletely understood. Here, we profiled single-nucleus transcriptomes across multiple brain regions, including hippocampal (CA1) and neocortical (superior temporal gyrus and occipital cortex) regions, from individuals with typical and atypical AD and healthy controls. Integrative analysis identified major cell classes and resolved diverse excitatory and inhibitory neuronal subpopulations that were reproducibly observed across regions and individuals. Using quasi-binomial regression models to assess compositional changes, we quantified subtype-specific vulnerability associated with AD pathology. We identified a distinct excitatory neuronal subpopulation characterized by NRGN and BEX1 expression, which showed reproducible depletion across multiple regions, with the strongest evidence in amnestic AD and in neocortical regions in lvPPA. This vulnerable population showed concordance with previously reported AD-associated excitatory neuron signatures, supporting a conserved transcriptional program of susceptibility. Genes enriched in this population were associated with chemical synaptic transmission and regulation of synaptic plasticity and formed interconnected networks in protein-protein interaction analyses. These findings suggest that intrinsic properties related to synaptic function may predispose specific neuronal populations to degeneration in AD. Together, our results define a conserved, transcriptionally distinct excitatory neuron subpopulation that is selectively vulnerable across AD phenotypes and brain regions. This work provides a framework for linking regional pathology to cell-type-specific susceptibility and highlights synaptic regulatory pathways as potential contributors to neuronal degeneration in Alzheimer’s disease.

OBJECTIVE Anterior cervical discectomy and fusion (ACDF) is commonly performed in both inpatient and outpatient settings. In this study, the authors evaluate the influence of surgical setting on patient-reported outcome measures (PROMs), satisfaction, dysphagia, and complications following ACDF. METHODS A prospectively collected, multi-institutional quality improvement registry was retrospectively reviewed. Patients eligible for study inclusion were those who underwent ACDF without corpectomy or arthroplasty between 2016 and 2023. The patients were stratified by surgery setting, with same-day discharge indicating outpatients and an overnight stay indicating inpatients. PROMs were collected preoperatively and at 3 and 12 months postoperatively. Patient satisfaction was measured using the North American Spine Society (NASS) outcome assessment questionnaire, and dysphagia was measured using the 10-item Eating Assessment Tool (EAT-10). Propensity score overlap weighting (average treatment effect in the overlap population) was used to balance baseline covariates. RESULTS Of the 1514 patients who underwent ACDF, 462 were inpatients and 1052 were outpatients. The outpatient cohort was younger (55.1 ± 10.7 vs 60.5 ± 11.0 years, p < 0.001), had higher rates of private insurance (73% vs 52%, p < 0.001), had a lower mean American Society of Anesthesiologists (ASA) physical status (2.3 ± 0.6 vs 2.6 ± 0.6, p < 0.001), and underwent more single-level surgeries (53% vs 33%, p < 0.001). Propensity weighting resulted in comparable mean ages (58.9, p > 0.9) and ASA classes (2.5, p = 0.8) as well as private insurance rates (56%, p > 0.9) between the cohorts. After weighting, the inpatient cohort had a higher share of single-level fusions (46% vs 37%, p = 0.007). An outpatient status was associated with significantly better 12-month numeric rating scale (NRS) scores for neck pain (2.4 ± 2.7 vs 3.1 ± 3.0, p = 0.006), NRS scores for arm pain (1.7 ± 2.6 vs 2.2 ± 3.0, p = 0.047), and Neck Disability Index (NDI; 7.7 ± 7.8 vs 9.8 ± 9.4, p = 0.004) and greater improvement from baseline to 12 months on the NDI (−12.5 ± 9.7 vs −10.8 ± 10.5, p = 0.017), EQ-5D (0.242 ± 0.220 vs 0.209 ± 0.226, p = 0.047), and EQ visual analog scale (10.6 ± 21.6 vs 7.1 ± 20.8, p = 0.012). Fewer outpatients reported dysphagia at 3 months postoperatively (31% vs 40%, p = 0.010). No differences were observed in readmissions or revision procedures, although fewer outpatients experienced new neurological deficits (1.0% vs 2.6%, p = 0.032) and pneumonia (< 0.1% vs 0.9%, p < 0.001). In terms of the 12-month NASS outcome assessment, a smaller proportion of the outpatient cohort reported the lowest satisfaction score (3.9% vs 8.0%, p = 0.019). CONCLUSIONS Outpatient setting was associated with better PROMs at the 12-month follow-up when patients were weighted by baseline health status. These findings support the efficacy of outpatient ACDF in appropriately selected patients.

Abstract Objectives Patients referred for specialized care often arrive with outside medical records (OMRs) compiled into multi-report PDFs that include imaging, pathology, and clinical notes in unstructured formats. Reviewing these records is time consuming and mentally taxing, increasing the risk of delayed care, clinician frustration, and missed information affecting quality of care. This study aimed to automate the segmentation, classification, and date extraction of scanned OMRs, with a focus on records relevant to breast cancer care. Materials and Methods We used optical character recognition (OCR) to extract machine-readable text from 1303 scanned PDF documents from 116 distinct external institutions. Gemini 1.5, a large language model (LLM), was then used to segment multi-report files into individual documents, classify them into clinically meaningful categories such as mammograms and pathology reports, and extract study dates to build diagnostic timelines. Document categories were informed by clinical workflows in a breast cancer center. Results The system achieved an F1 score of 0.95 for segmentation, 0.96 for classification, and 0.90 for date extraction. In a pilot of 45 records reviewed by clinicians, only 2 classification errors and 1 date error were reported. Clinicians estimated that the tool reduced OMR review time by 40%, improved workflow efficiency, and increased satisfaction. Discussion Our findings demonstrate that combining OCR with LLMs can significantly enhance the processing of unstructured medical records, reducing manual burden and supporting timely clinical decision-making. Conclusion This study demonstrates the successful application of OCR and LLMs for organizing scanned OMRs within a specialty clinic. By automating a previously manual process, the approach supports scalable review of incoming outside records and has potential for adaptation to other clinical workflows. Future work will focus on evaluating the system across additional specialties and institutions.

Abstract Background and Aims Stroke and systemic embolism are recognized but poorly characterized complications of atrial fibrillation (AF) and left atrial flutter (AFL) catheter ablation. Their incidence, outcomes, and procedural associations remain insufficiently defined. Methods Retrospective global registry was initiated by the European Heart Rhythm Association Scientific Committee. A secure database captured data from ablation centres worldwide on general AF and left AFL ablation activity, as well as detailed information on patients with symptomatic embolic events between 2017 and 2024. Results Overall, 204 centres reported 335 743 ablation procedures and 550 embolic events (incidence 0.16%). Centre-level rate ranged from 0% to 3.1%. Most events were cerebral (94%), followed by peripheral (5%), and combined (1%). Coronary air embolism accounted for 62% of all peripheral events. Intraprocedural events occurred in 93 patients (17%), within 72 h in 357 (78%) and beyond 72 h in 100 (22%); 128 cases (23%) were diagnosed after hospital discharge. Nonparoxysmal AF (0.23% vs 0.15%; P &lt; .001), centre experience, and ablation energy source (radiofrequency, 0.16%; cryoballoon, 0.16%; pulsed field ablation, 0.25%; laserballoon, 0.88%; P &lt; .001) were associated with embolic risk. Median NIHSS score after stroke was 4 (interquartile range, 2–9). Three-month follow-up was available for 518 patients with embolism (95%): 181 (35%) had sequelae and 16 (3%) died. Conclusions Symptomatic embolic events are infrequent but associated with significant morbidity and mortality. Most events occur early, though a substantial proportion arise later. Higher event rates were observed with laser and possibly with pulsed field ablation. A greater centre experience was associated with a lower embolism incidence.

ABSTRACT Introduction and Methods Cancer therapy–related cardiac dysfunction (CTRCD) is a well established and potentially life‐threatening complication of contemporary oncologic treatment. Although comprehensive cardio‐oncology guidelines have been developed, their integration into routine hematology and oncology practice remains inconsistent. This consensus statement, developed by a multidisciplinary panel of cardio‐oncology experts, aims to provide practical, case‐based guidance to help oncology providers recognize, assess, and manage CTRCD across a spectrum of malignancies and cardiovascular presentations. Clinical Scenarios and Discussion We present representative clinical scenarios that illustrate real‐world challenges in cardio‐oncology and apply evidence‐based recommendations from current guidelines, including those from the European Society of Cardiology (ESC) and the International Cardio‐Oncology Society (ICOS)—to support informed decision‐making. Key areas of focus include baseline cardiovascular risk stratification prior to initiating potentially cardiotoxic therapies, with an emphasis on biomarker and imaging surveillance strategies tailored to individual risk profiles. Also, this document outlines the application of guideline‐directed medical therapy (GDMT) for cancer patients with heart failure. Conclusion By offering a structured, user‐friendly framework, this document seeks to bridge the implementation gap between oncology and cardiology disciplines. Our goal is to equip oncology providers with accessible tools that facilitate early recognition, consistent surveillance, and timely referral, thereby preserving cancer treatment intensity while minimizing cardiovascular morbidity.

BACKGROUND AND OBJECTIVES: The Congress of Neurological Surgeons (CNS) Leadership Institute developed the first structured leadership program designed specifically for neurosurgeons. Led by the experts in neurosurgery, health care administration, and business, the program provides formal leadership training and mentorship aimed at advancing neurosurgeons' professional development at local, regional, national, and international levels. METHODS: The CNS Leadership Institute offers 2 curricula tailored for junior and senior faculty. Training begins with assigned readings, webinars, and online lectures that establish essential leadership principles. Core learning occurs during 2 in-person courses featuring interactive lectures, feedback sessions, and a longitudinal leadership project guided by national mentors. Program outcomes were assessed through a 40-question survey of alumni evaluating training effectiveness, skill application, and career advancement. RESULTS: Since 2016, 195 neurosurgeons have completed the CNS Leadership Institute. Among the 77 survey respondents, 70.1% reported significant professional advancement (new leadership role or job transition), and 64.8% directly attributed their advancement in skills and insights acquired through the program. Overall program effectiveness was rated 4.4 of 5, and the mean likelihood-to-recommend was 8.95 (95% CI: 8.70-9.20), yielding a Net Promoter Score of +63 (95% CI: +49 to +77). Alumni have assumed prominent roles including 16 Residency Program Directors, 3 Department Chairs, 1 Vice Dean, 4 Service Line Leaders, 13 CNS Executive Committee members, and over 100 committee or editorial board appointments critical to the specialty. CONCLUSION: The CNS Leadership Institute equips neurosurgeons with structured leadership training, mentorship, and practical tools to enhance their effectiveness as leaders. Survey results confirm that the program has a measurable impact on participants' career trajectories and professional growth. This initiative provides a reproducible model for cultivating the next generation of neurosurgical leaders and advancing the specialty's capacity for strategic, transformational leadership.