Citations

761 Background: Glycogen Synthase Kinase-3β (GSK-3β) is a known therapeutic target in cancer including pancreatic adenocarcinoma (PDAC). The combination of elraglusib (9-ING-41), a novel GSK-3 inhibitor, and gemcitabine/nab-paclitaxel (GnP) is being evaluated as first-line therapy for patients with metastatic PDAC (mPDAC). We previously reported topline results indicating that the 1801 Part 3B phase 2 trial (NCT03678883) met its primary endpoint, showing a clinically meaningful survival benefit in patients treated with elraglusib/GnP compared to GnP alone. Here, we examined whether gene mutations correlated with clinical outcomes in mPDAC patients enrolled in this randomized phase 2 trial. Methods: For mutational analysis, archival tumor and/or plasma samples were obtained from 53 (GnP group) and 117 (elraglusib/GnP group) patients with previously untreated mPDAC. Cell-free DNA and/or tumor-extracted DNA were analyzed using the next generation sequencing. The comparison of the response rates was performed with the use of Chi-square tests. Kaplan-Meier survival curves were compared by log-rank (Mantel-Cox) tests. Results: Mutational analysis identified frequently mutated genes (detectable in ≥25% of patients): KRAS (141/170, 83%), TP53 (121/170, 71%), and CDKN2A (56/170, 33%). Mutations in KRAS, TP53, or CDKN2A genes did not correlate with objective response rate. Based on 81% of the recorded death events in the elraglusib/GnP group and 91% in the GnP group (topline data April, 2025), KRAS and TP53 gene mutations were associated with worse overall survival (OS) in patients treated with elraglusib/GnP (p<0.05) but not in GnP-treated patients. The rate of triple (KRAS+TP53+CDKN2A) mutations was significantly higher in the patients with OS<2 months as compared to the patients with OS>2 months in the elraglusib/GnP group (p<0.05) but not in the GnP group. Conclusions: Our preliminary results identified KRAS and TP53 gene mutations as potential predictive biomarkers of clinical outcome in elraglusib/GnP-treated mPDAC patients. Updated OS data and mutational analysis will be included in the final presentation. Clinical trial information: NCT03678883 .

653 Background: Elraglusib (9-ING-41), a novel small molecule inhibitor of GSK-3ß, has a multimodal mechanism of action that enhances chemotherapy cytotoxicity and regulates anti-tumor immune cell response. Elraglusib was evaluated in a randomized, open-label, phase 2 study (NCT03678883) comparing elraglusib/GnP vs GnP in previously untreated mPDAC. Methods: Pts were randomized 2:1 to GnP plus elraglusib 9.3 mg/kg IV once weekly or GnP. Primary endpoint was mOS, with 1-yr OS rate estimates summarizing clinical benefit throughout the study. Secondary endpoints were ORR, mPFS, and TEAEs/TRAEs. Pre-dose cytokines, mutational analysis, and immunophenotyping were correlated with outcomes. An oral presentation at ASCO 2025 discussed preliminary data. Results: As of 27 April 2025, the primary analysis set included 155 pts in the elraglusib/GnP arm and 78 pts in the GnP arm, with 52.8% males and 57.5% ECOG PS 1. The 1-yr OS rate was 44.1% with elraglusib/GnP vs 22.3% with GnP; the mOS was 10.1 mo with elraglusib/GnP vs 7.2 mo with GnP (HR, 0.62; p=0.01) with approximately 79% events recorded (25.8% of pts on elraglusib/GnP and 10.3% on GnP were censored with the majority at >12 mo OS). Improved OS with elraglusib/GnP was consistent across all randomized pts and subgroups regardless of liver metastases, ECOG status, or baseline CA 19-9 levels. Most common TRAE with elraglusib/GnP was grade 1-2 transient visual impairment (66.5% pts vs 0 with GnP). Most common grade ≥3 TEAEs with elraglusib/GnP (vs GnP) were neutropenia 52.3% (vs 30.8%) and anemia 25.2% (vs 29.5%). No differences in sepsis/febrile neutropenia rates were between arms. RAS , TP53 and CDKN2A co-mutations were associated with worse OS in the elraglusib/GnP arm only (p<0.05). Elevation in pre-dose cytokines including CXCL2 correlated with improved OS in the elraglusib/GnP arm. Additionally, increased CD8+ T cells, granzyme B, and NK cells and reduced MDSCs were observed in elraglusib-treated tumors. Conclusions: A significant benefit for 1-yr OS and mOS and a favorable trend for ORR were observed with the addition of elraglusib to GnP. The mOS was lower in the GnP arm vs historical studies, likely due to early deaths in the first 2 months, but aligns with mOS estimates in the real-world analysis with broad heterogeneous population. Our study included 19.7% pts with albumin <3.0 g/dL and >25% with CA 19.9 levels > 8,000 U/mL. Immune correlates support elraglusib’s immune-modulatory role. Final efficacy data cut-off in Dec 2025 and correlative studies will be presented. Clinical trial information: NCT03678883 . Outcome Elraglusib/GnPN=155 GnPN=78 Primary endpoint: mOS (mo)HR=0.62; log-rank p=0.01 10.1 7.2 Events, n (%) 115 (74.2) 70 (89.7) Primary endpoint: 1-yr OS (%) 44.1 22.3 18-month OS (%) 20.5 4.4 24-month OS (%) 13.2 0 mPFS (mo)HR=0.9; p=NS 5.6 5.1 Events, n (%) 136 (87.7) 75 (96.2) ORR, n (%) 44 (28.4) 17 (21.8)

Abstract Aims Glucagon-like peptide-1 receptor agonists (GLP-1RA) reduce cardiovascular risk in patients with Type 2 diabetes (T2D) and established atherosclerotic cardiovascular disease and are recommended in guidelines. We evaluated the real-world effectiveness of GLP-1RA therapy on cardiovascular outcomes in patients with T2D after myocardial infarction (MI) or ischaemic stroke and examined trends and disparities. Methods and results Using nationwide Czech registry data (2015–24), we identified patients with incident nonfatal MI or ischaemic stroke and confirmed T2D. GLP-1RA users—initiating therapy within 12 months post-event—were propensity score matched to non-users. The primary outcome was major adverse cardiovascular events (MACE: nonfatal MI, nonfatal stroke, cardiovascular death); secondary outcomes included individual components and all-cause mortality. GLP-1RA therapy was initiated in only ∼2% of MI and stroke survivors with T2D. Among 126 845 MI survivors, 28 206 had T2D; the matched cohort comprised 2271 patients (401 GLP-1RA; median follow-up 35 months). GLP-1RA use was associated with lower risk of MACE (HR 0.7; 95% CI, 0.52–0.93), all-cause (HR 0.61; 95% CI, 0.47–0.80), and cardiovascular death (HR 0.54; 95% CI, 0.36–0.80). Among 177 115 stroke survivors, 73 750 had T2D; the matched cohort comprised 2235 patients (385 GLP-1RA; median follow-up 27 months). GLP-1RA use was associated with lower risk of MACE (HR 0.71; 95% CI, 0.54–0.94), all-cause (HR 0.59; 95% CI, 0.46–0.76), and cardiovascular death (HR 0.55; 95% CI, 0.37–0.81). Conclusion GLP-1RA therapy after MI or stroke in T2D was associated with substantially lower risks of MACE, cardiovascular, and all-cause death in real-world practice. Utilization remained low, particularly among women and older adults, underscoring the need for broader and more equitable implementation in secondary prevention.

Abstract Objective Memory impairments are common in neurological disorders, especially drug‐resistant epilepsy, where cognitive deficits such as accelerated long‐term forgetting may occur before surgery due to interictal/ictal discharges, antiseizure medications, and disease progression. Postsurgical memory decline affects 40%–60% of patients. Understanding the neural mechanisms of memory encoding is essential for identifying critical network hubs and guiding surgical interventions that preserve cognitive function. Methods We analyzed intracranial electroencephalographic recordings from epilepsy patients ( n = 15) performing a verbal memory encoding task to identify key structures involved in successful memory formation. Functional connectivity was computed using multiple features across several frequency bands. Temporal dynamics of connectivity were examined to characterize pre‐encoding and encoding phases. Results The middle temporal gyrus (MTG) consistently emerged as a verbal memory hub across features and frequency bands. The inferior frontal gyrus (IFG) was identified as a beta‐band‐specific hub via phase synchrony. Temporal analyses revealed that MTG exhibited stable and widespread connectivity differences across all encoding phases, suggesting a role in pre‐encoding network priming. In contrast, IFG displayed a transient decrease in connectivity and spatial extent during early encoding, indicating a more focal and dynamic contribution. Significance These findings suggest that successful memory encoding relies on widespread, frequency‐specific connectivity patterns centered on MTG, complemented by transient, localized IFG activity. Identifying such hubs may inform surgical planning by highlighting regions critical for cognitive outcomes, ultimately supporting strategies to preserve memory in epilepsy surgery.

BACKGROUND AND OBJECTIVES: Preventive treatment of unruptured intracranial aneurysms (UIAs) requires assessment of treatment risks vs expected benefit. Although established scores exist to estimate rupture and growth risk, currently, no externally validated tools exist to estimate the risks of microsurgical treatment of UIAs. Clinical prediction models based on machine learning enable generation of personalized risk estimates for each individual patient based on their specific patient and aneurysm characteristics. METHODS: Using data from 20 international centers from the prediction of adverse events after microsurgery for intracranial unruptured aneurysms study on patients treated microsurgically for UIAs, we developed and externally validated clinical prediction models for 3 outcomes measured at hospital discharge: poor neurological outcome (modified Rankin Score ≥3), new sensorimotor neurological deficits, and all-cause adverse events (Clavien-Dindo Grade ≥1). RESULTS: A total of 3705 patients were included. Data from 13 centers (2881, 78%) were used for model development. Fully trained models were evaluated on 824 patients (22%) from 7 additional centers. Average age was 56 ± 12 years, and 1049 (28%) were male. At discharge, poor neurological outcome was seen in 514 patients (14%). New sensorimotor deficits were observed in 534 patients (14%), and 894 patients (24%) experienced adverse events until discharge. At external validation, prediction of poor neurological outcome was achieved with good calibration and an area under the curve (AUC) = 0.70 (95% CI: 0.63-0.75). Similarly, new neurological deficits were predicted with good calibration and with an AUC = 0.69 (95% CI: 0.63-0.74). Prediction of all-cause adverse events only achieved an AUC = 0.59 (95% CI: 0.55-0.64) with fair calibration. The prediction model was integrated into a web application accessible at https://neurosurgery.shinyapps.io/PRAEMIUM/. CONCLUSION: The developed models for prediction of poor neurological outcome and new sensorimotor neurological deficits at discharge exhibit good calibration and fair discrimination based on a multinational external validation, indicating that the predicted probabilities correspond well to real-world risks and may thus be clinically useful in more objectively estimating the risk of microsurgical treatment.

OBJECTIVE Objective values on procedural risk are essential to facilitate informed consent and optimize clinical decision-making in patients with unruptured intracranial aneurysms (UIAs). While robust heuristics, such as the PHASES (population, hypertension, age, size of aneurysm, earlier subarachnoid hemorrhage, and site of aneurysm) score, are established for predicting rupture risk, contemporary and granular benchmarks for procedural safety remain scarce. The multinational Prediction of Adverse Events After Microsurgery for Intracranial Unruptured Aneurysms (PRAEMIUM) study aims to comprehensively characterize contemporary adverse event rates following microsurgical treatment at high-volume expert centers, stratified by aneurysm location, morphology, and complexity factors to better inform individual risk/benefit analyses. METHODS A cohort study among 20 participating expert centers from 9 countries was established. Patients treated microsurgically for UIAs were included. The authors describe the epidemiology of treated patients and UIAs and a comprehensive adverse event profile using 3 outcomes measured at hospital discharge: 1) poor neurological outcome (modified Rankin Scale score ≥ 3), 2) new sensorimotor neurological deficits, and 3) all-cause adverse events (Clavien-Dindo grade ≥ 1). Subgroup reports were given for aneurysm location, morphology, and complexity factors (prior aneurysm treatment, calcifications, complex angioanatomy involving critical branch vessels or perforators, and thrombosis). The authors purposely chose discharge as the time point to capture early postoperative risks and complications in patients with asymptomatic UIAs, for whom preserving neurological function is paramount. RESULTS The cohort included 3705 patients (mean age 56 [SD 12] years, 28% male). Overall, at discharge 13.9% of patients (95% CI 12.8%–15.0%) had poor neurological functional outcomes, 14.4% (95% CI 13.3%–15.5%) had new sensorimotor deficits, and 24.1% (95% CI 22.8%–25.5%) experienced all-cause adverse events. Poor neurological outcomes ranged from 8.5% (M1 aneurysms) to 37.4% (posterior circulation aneurysms), neurological deficits from 9.3% (distal anterior cerebral artery [ACA] aneurysms) to 34.2% (posterior circulation aneurysms), and all-cause adverse events from 21.2% (distal ACA aneurysms) to 31.3% (posterior circulation aneurysms). Dissecting and fusiform aneurysms showed notably high rates of poor neurological outcomes (22.0%–33.3%), new deficits (25.4%–26.7%), and adverse events (26.7%–37.0%). Complexity factors significantly influenced outcomes, with prior treatment (22.9%, 19.7%, and 30.1%), calcification (16.3%, 18.1%, and 30.5%), complex angioanatomy (13.1%, 15.9%, and 26.9%), and thrombosis (19.6%, 23.9%, and 39.6%) notably increasing the risks for poor neurological outcomes, deficits, and adverse events, respectively. CONCLUSIONS This large international cohort provides contemporary benchmarks for microsurgical treatment of UIAs, emphasizing variability in outcomes based on aneurysm location, morphology, and complexity. The presented granular and quotable adverse event rates support informed patient counseling and individualized risk/benefit assessments in comparable high-volume centers.

BACKGROUND: MODULAR antitachycardia pacing (ATP), a multicenter, international trial, assesses a modular cardiac rhythm management system: a subcutaneous implantable cardioverter defibrillator in wireless communication with a leadless pacemaker (LP) capable of pace-terminating ventricular tachycardia. METHODS: Enrolees had one or more clinical risk factors for ventricular tachycardia and did not require chronic pacing. Complications included prespecified major LP system- and procedure-related complications, and any complication related to the LP, subcutaneous implantable cardioverter defibrillator, implantation, or study protocol. Survival analysis was performed to identify complication-free rates, therapy delivery, and all-cause mortality. RESULTS: The 297 patients enrolled had an ejection fraction of 35±13%, 43% secondary prevention indications, and 59% with prior ventricular arrhythmias. Of 286 patients undergoing LP implantation (100% success), 251 patients completed 12-month follow-up. Mortality rate was 6%, with none related to the implant procedure. Median follow-up duration was 23.4 months (interquartile range, 17.9–28.1). The LP major complication-free rate was 97.2%, exceeding the performance goal. The overall LP+ subcutaneous implantable cardioverter defibrillator system-related complication-free rate was 88.5%. Appropriate tachyarrhythmia-therapy (ATP+shock) rates were 14.4%, and appropriate shock rates were 8.5%. Inappropriate total tachyarrhythmia therapy was 9.5% of which 8.5% were shocks. ATP was 67.3% successful in terminating ventricular arrhythmia episodes and accelerated ventricular arrhythmias in 10.1% of episodes. Overall therapy burden (ATP+shock) was 96/100 patient-years, of which 44/100 patient-years was for shock delivery. CONCLUSIONS: One-year outcomes of the first modular pacing-defibrillator system reveal low system and LP complication rates and good ATP efficacy rates, suggesting that the modular cardiac rhythm management is a viable alternative to single-chamber implantable cardioverter defibrillators using low-energy pacing capability without the need for transvenous leads. CLINICAL TRIAL REGISTRATION: URL: https://clinicaltrials.gov/ ; Unique identifier: NCT04798768.

BACKGROUND: Some, but not all, patients with heart failure (HF) develop pulmonary vascular disease (PVD), which contributes to poor prognosis. Mechanisms leading to PVD in HF are poorly understood. We aimed to analyze transpulmonary gradients of proteins consumed or elaborated across the lungs to identify mediators of PVD by unbiased proteomics. METHODS: Overall, 21 controls and 160 patients with HF with reduced ejection fraction underwent pulmonary artery catheterization with blood sampling from postcapillary (wedged balloon) and precapillary (unwedged) position to obtain transpulmonary gradients. The samples from controls and HF from the highest (Q4, n=40) and lowest quartile (Q1, n=40) of pulmonary vascular resistance (PVR) were analyzed using the proteomic proximity extension assay (Olink) of 275 proteins. Venous blood concentrations or transpulmonary gradients were analyzed to identify biomarkers or potential mediators of PVD. RESULTS: Comparison of Q1 and Q4 of PVR identified PSP-D (pulmonary surfactant-associated protein D) as a marker of PVD. Examination of gradients across the lungs in high PVR HF revealed significant uptake of 18 proteins, mostly associated with inflammation (chemokines, oncostatin-M, MMP9 [matrix metalloproteinase 9]) or with TGF (transforming growth factor)/activin pathway (GDF2 [growth differentiation factor 2]/BMP9 [bone morphogenic protein 9]), and release of 5 proteins, notably IL (interleukin) 6 and IL33. In contrast, these protein gradients were negligible in controls and low PVR patients with HF. Active pulmonary release of IL6 contributed to systemic elevation of IL6 and correlated with right ventricular function. CONCLUSIONS: The lungs of patients with HF with high PVR display abnormal uptake and release of proinflammatory cytokines from IL6/gp130 family (IL6, IL33, oncostatin-M), along with increased transpulmonary uptake of GDF2/BMP9. The study shows that proteins orchestrating inflammation or pulmonary vessel remodeling in group 1 pulmonary hypertension, are also operating in patients with PVD due to HF. REGISTRATION: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT06331208.

4006 Background: Elraglusib (9-ING-41) is a first-in-class inhibitor of GSK-3ß, which may mediate drug resistance, EMT, and damaged DNA and tumor immune response in advanced cancer. In pancreatic cancer models in mice, elraglusib combined with chemotherapy enhanced anti-tumor effects and survival. In a single-arm clinical study, elraglusib/GnP showed antitumor activity and prolonged survival in pts with mPDAC. Methods: Pts with previously untreated mPDAC were randomized 2:1 to GnP plus elraglusib 9.3 mg/kg IV once weekly or GnP in an open-label phase 2 study. The primary endpoint was 1-yr OS in the primary analysis set. Upon study completion, mOS will be the primary endpoint once survival distributions are compared after the 12-month follow-up using log-rank analysis. Secondary endpoints included DCR, ORR, mPFS, and TEAEs/TRAEs. The planned sample size was 207 evaluable pts (130 for elraglusib/GnP and 77 for GnP), assuming 1-yr OS of 55% with elraglusib/GnP and 35% with GnP to achieve 80% power with a chi-square test at a 2-sided 5% α. For OS, nonparametric log-rank test was used with statistical significance at p-value < 0.048. Cytokine/chemokine correlative biomarker assays were performed. The study completed enrollment in February 2024. Results: As of November 15, 2024 (preliminary data cut-off date), the primary analysis set included 155 pts in the elraglusib/GnP arm and 78 pts in the GnP arm, with 52.8% males and 57.5% ECOG PS 1. Median (range) CA 19-9 levels were 1568 U/mL (1 to 381,904 U/mL) in the elraglusib/GnP arm and 1590 U/mL (2 to 501,000 IU/mL) in the GnP arm. The 1-yr OS rate was 43.6% with elraglusib/GnP vs 22.5% with GnP (z-test p = 0.002); the mOS was 9.3 mo with elraglusib/GnP vs 7.2 mo with GnP (HR, 0.63; log rank p = 0.016; see Table). 38.1% of pts on elraglusib/GnP and 19.2% on GnP are censored, with the majority at > 10 months OS. Several biomarkers appear to be predictive for OS including IFNβ and PD-L1. The most common TRAE with elraglusib/GnP was grade 1-2 transient visual impairment in > 60% of patients (vs 9% with GnP). Grade ≥3 TEAEs occurred in 89.7% of pts on elraglusib/GnP and 80.8% on GnP. Most common grade ≥3 TEAEs with elraglusib/GnP (vs GnP) were neutropenia 51.6% (vs 29.5%), anemia 24.5% (vs 29.5%), and fatigue 16.1% (vs 5.1%). Conclusions: The preliminary results showed a statistically significant benefit for 1-yr OS and mOS and favorable trends for ORR and DCR with elraglusib/GnP over GnP, with manageable safety profile. The mOS for GnP is lower relative to MPACT and NAPOLI-3 but comparable to recent real-world meta-analyses, explained by advanced disease burden and higher mortality rate in the first 4 months in our study. Topline analysis (April 2025) and correlative biomarker analysis predictive for OS will be presented. Clinical trial information: NCT03678883 . Preliminary efficacy results. Elraglusib/GnPn=155 GnPn=78 1-year OS, %z-test p=0.002 43.6 22.5 mOS, moHR=0.63; log-rank p=0.016 9.3 7.2 Events, n (%) 96 (61.9) 63 (80.8) mPFS, moHR=0.91; p=NS 5.6 4.9 Events, n (%) 128 (82.6) 70 (89.7) DCR, % 42.6 33.3 ORR, n (%) 43 (27.7) 16 (20.5)

Abstract Precise localization of the epileptogenic zone is pivotal for planning minimally invasive surgeries in drug-resistant epilepsy. Here, we present a graph neural network (GNN) framework that integrates interictal intracranial EEG features, electrode topology, and MRI features to automate epilepsy surgery planning. We retrospectively evaluated the model using leave-one-patient-out cross-validation on a dataset of 80 drug-resistant epilepsy patients treated at St. Anne's University Hospital (Brno, Czech Republic), comprising 31 patients with good postsurgical outcomes (Engel I) and 49 with poor outcomes (Engel II–IV). The GNN predictions demonstrated a significantly better (P &lt; 0.05, Mann–Whitney-U test) area under the precision-recall curve in patients with good outcomes (area under the precision-recall curve: 0.69) compared with those with poor outcomes (area under the precision-recall curve: 0.33), indicating that the model captures clinically relevant targets in successful cases. In patients with poor outcomes, the graph neural network proposed alternative intervention sites that diverged from the original clinical plans, highlighting its potential to identify alternative therapeutic targets. We show that topology-aware GNNs significantly outperformed (P &lt; 0.05, Wilcoxon signed-rank test) traditional neural networks while using the same intracranial EEG features, emphasizing the importance of incorporating implantation topology into predictive models. These findings uncover the potential of GNNs to automatically suggest targets for epilepsy surgery, which can assist the clinical team during the planning process.