Citations

Abstract Background DNA methylation profiling can be used to robustly predict postsurgical outcomes and response to radiotherapy (RT) for meningioma patients. To allow for seamless integration of these complementary models into clinical practice, a practical framework is needed. Methods We leveraged a cohort of nearly 2000 surgically-treated meningiomas with DNA methylation profiling and clinical outcomes data. Existing methylation-based prediction models were dichotomized to yield four risk groups: low and high recurrent risk, each with RT sensitive and resistant subgroups. Risk groups were correlated with progression-free survival in the context of existing biomarkers including extent of resection and WHO grade. Results We first demonstrated that all risk groups benefit from gross total resection. All “high-risk, RT sensitive” tumors (n = 306, 15.7%) also benefited from adjuvant RT: after GTR, median PFS increased from 4.68 (4.13-9.48) years to not reached (P = .003); after subtotal resection (STR), from 2.12 (1.59-3.02) to 4.09 (3.41-not reached) years (P = .004). “Low-risk, RT sensitive cases” (n = 1207, 61.8%) also benefited from RT after STR (median PFS 7.39 (6.66-12.8) vs. 16.53 (10.35-not reached) years, P = .03), suggesting that RT be considered in these patients. Neither “low-risk RT resistant” (n = 84, 4.3%) nor “high-risk RT resistant” (n = 356, 18.2%) cases benefited from RT, and the latter group was associated with universally poor outcomes. Conclusions We identify methylation-defined risk groups of meningioma for which additional benefit is gained from adjuvant RT, leading to a clinical decision-making framework for straightforward integration of molecular models into clinical practice.

Abstract INTRODUCTION Visual hallucinations (VHs) represent one of the core clinical features of dementia with Lewy bodies (DLB); however, their underlying pathology remains unclear. METHODS We employed proximity ligation assay (PLA) and phosphorylated α‐synuclein (αSYN) immunohistochemistry to compare αSYN oligomers and Lewy‐related pathology across brain regions along the ventral visual pathway in patients with and without VHs (five patients each). RESULTS Greater αSYN oligomer burden in the parahippocampal cortex was observed in patients with VHs compared to those without ( p = 0.041), whereas the burden of Lewy‐related pathology was similar between groups. DISCUSSION Our findings suggest that αSYN oligomers, rather than conventional Lewy‐related pathology, may be more closely associated with VHs in DLB. This provides novel evidence linking αSYN oligomers to a core clinical feature in DLB and suggests potential therapeutic targets for managing VH in these patients. Highlights Visualization of αSYN oligomers by PLA and quantitative neuropathologic analysis. Abundant αSYN oligomers in parahippocampal cortex of DLB with VHs. First human brain study linking αSYN oligomers to VHs. Potential oligomer‐targeted therapy for managing VH in DLB.

Background: Injury to the medial ulnar collateral ligament (MUCL) is a common setback for throwing athletes, often requiring reconstruction with 12 to 18 months of rehabilitation. The authors previously described a more anatomic technique with improved mechanical strength as compared with the docking technique, which may allow for an accelerated return to sport. Purpose: To evaluate return-to-sport rates, time to return to sport, and the effect on the functional performance of amateur and professional throwing athletes who underwent anatomic MUCL reconstruction with suture tape augmentation. Study Design: Case series; Level of evidence, 4. Methods: A retrospective case series was performed including baseball players who underwent anatomic MUCL reconstruction with suture tape augmentation by a single surgeon from 2018 to 2022. Inclusion criteria consisted of a minimum 2-year follow-up, participation in baseball, and utilization of autograft (palmaris longus or gracilis). Patients who underwent previous MUCL reconstruction were excluded from the study. All patients initially followed an accelerated rehabilitation protocol. Outcome measures were collected, including Kerlan-Jobe Orthopaedic Clinic (KJOC), Single Assessment Numeric Evaluation (SANE), and Conway-Jobe scores, as well as throwing metrics such as ball velocity and spin rate. Results: Thirty-four baseball players (mean ± SD age, 21 ± 3 years) underwent primary MUCL reconstruction. Time of final follow-up was 36.1 ± 10.3 months. Of these, 16 were professional athletes and 18 were amateur. All throwers returned to live gameplay at a mean 10.1 ± 2.0 months after reconstruction (professional, 10.6 ± 2.3; amateur, 9.7 ± 1.8). Furthermore, 97% (94% professional, 100% amateur) advanced through the accelerated postoperative protocol without issues, and 91% (88% professional, 94% amateur) returned to the same role and 85% (75% professional, 94% amateur) to the same level of play. Professional postinjury KJOC scores improved from 42.6 ± 16 to 87.5 ± 8.3 and SANE scores from 25.0 ± 11.2 to 95.6 ± 4.2. Amateur postinjury KJOC scores improved from 35.6 ± 10.7 to 90.9 ± 8.6 and SANE scores from 57.5 ± 16.9 to 95.2 ± 7.2. No significant difference was identified in preinjury versus postreconstruction throwing velocity, ball spin rate, or horizontal/vertical ball movement. The overall failure rate was 2.9%, with 1 professional pitcher requiring revision for graft rupture at 3 years postoperatively. Conclusion: Anatomic reconstruction of the MUCL with suture tape is a viable option for MUCL injuries, allowing an expedited return to sport at 10.1 ± 2.0 months (professional, 10.6 ± 2.3; amateur, 9.7 ± 1.8) in baseball players, with a low failure rate.

Background The association between lifestyle factors and Alzheimer's disease (AD) pathophysiology remains incompletely understood. Objective The aim of this study was to assess the association of alcohol consumption, smoking behavior, sleep quality and physical, cognitive, and social activity with cerebral amyloid pathology. Methods For this cross-sectional study, we selected participants from the Amyloid Biomarker Study data pooling initiative. We used generalized estimating equations to assess associations of dichotomized lifestyle measures with amyloid pathology. Results We included 9171 participants with normal cognition (NC) and 2555 participants with mild cognitive impairment (MCI) from the Amyloid Biomarker Study. Of participants with NC, 58% were women, 34% were APOE ε4 carrier, and 27% had amyloid pathology. Of participants with MCI, 48% were women, 47% were APOE ε4 carrier, and 57% had amyloid pathology. In NC, cognitively active participants were less likely to have amyloid pathology (OR = 0.77, 95%CI 0.66–0.89, p < 0.001). In MCI, participants who had ever smoked or had sleep problems were less likely to have amyloid pathology (OR = 0.85, 95%CI 0.73–0.99, p = 0.029; OR = 0.62, 95%CI 0.45–0.86, p = 0.004). Conclusions In NC, cognitive activity was associated with a lower frequency of amyloid pathology. In MCI, favorable lifestyle behaviors were not associated with a lower frequency of amyloid pathology. The results of the current study contribute to the broader evidence base on lifestyle and AD by further characterizing the role of lifestyle behaviors in AD pathology across different clinical stages.

Abstract There are no approved treatments for relapsed/refractory (R/R) PCNSL. We show promising efficacy in the salvage setting using emavusertib in combination with ibrutinib, which targets the BCR and TLR pathways. These 2 major pathways are associated with activation of NF-κB. Updated safety and efficacy data of this combination in R/R PCNSL from the ongoing Phase 1/2 TakeAim Lymphoma trial (NCT03328078) will be presented. As of 01 May 2025, 33 patients with R/R PCNSL were treated with emavusertib in combination with ibrutinib. Eligible patients receive emavusertib in combination with ibrutinib until tumor progression or unacceptable toxicity. Median age was 63 years (range 43-81); 16 patients were male. Median prior anti-cancer therapy was 2 (range 1-5); 26 (78.8%) patients had prior BTKi exposure. Median duration of emavusertib/ibrutinib treatment was 51 days (range 5-798). Grade ≥ 3 treatment-related adverse events (TRAEs) were reported in 11 (33.3%) patients; neutropenia in 5 (15.2%) patients, amylase increased, lipase increased, and leukopenia in 2 (6.1%) patients each. The majority of Grade ≥ 3 TRAEs were reversible and manageable. Among the 19 BTKi-experienced patients treated for ≥ 28 days, there were 5 CRs and 2 PRs, with an ORR of 36.8%. Three patients with CR were on treatment for 10+ mos, with 1 CR patient ongoing with DOT of 26.2+ mos. Among the 5 BTKi-naïve patients treated for ≥ 28 days, 1 achieved CR and 3 had PR, with ORR of 80%; the CR patient is ongoing with DOT of 18.1+ mos. The ORR in the combined population was 45.8% (6 CRs; 5 PRs). The combination of emavusertib and ibrutinib demonstrates promising clinical activity and an acceptable safety profile in patients with R/R PCNSL. This regimen appears capable of overcoming resistance to prior BTKi therapy. Patient enrollment in this trial continues.

Abstract PCNSL is a rare and aggressive NHL with no approved treatments for R/R patients, representing a critical unmet need. MyD88 mutations in ~70% of PCNSL patients drive IRAK4 activation, promoting NF-κB signaling, inflammation, and tumor progression. Emavusertib, a potent oral IRAK4 inhibitor, crosses the blood-brain barrier and shows preclinical synergy with BTKis, and has the ability to re-sensitize BTKi-resistant cell lines. This study evaluates the molecular and PK data associated with responses to emavusertib + ibrutinib combination therapy in R/R PCNSL patients. The safety, clinical activity, and potential biomarkers of emavusertib in R/R PCNSL are being investigated in the ongoing TakeAim Lymphoma trial (NCT03328078). Pre-dose and 1.5-hour post-dose plasma samples were collected on Day 1 of Cycles 3, 5, and 7. CSF samples were obtained via a lumbar puncture within 1.5 hrs of collection of the post-dose plasma PK sample on Cycle 3 Day 1. As of 06 December 2024, CSF concentration was available for 7 patients. The mean emavusertib concentration in CSF was 81.3 ng/ml (54.7-104.0) in patients receiving 100 mg emavusertib BID (n=4). In patients receiving 200 mg emavusertib BID (n=3), the mean emavusertib concentration in CSF was higher at 175.7 ng/ml (114.8-209.4), which is 2.2 × the mean value in patients who received 100 mg emavusertib BID (p-value = 0.02). MyD88 mutation status was available for 7 patients of which all had prior BTKi exposure. Among these patients, 6 had MyD88 mutations of which 4 had responded (3 CRs and 1 PR) to the combination with DOR up to 18.9 mos with data collection ongoing. Preliminary CNS PK data demonstrate that emavusertib concentration in CSF increases with increasing emavusertib dose. Patients with MyD88 mutations showed expected promising preliminary efficacy to emavusertib + ibrutinib combination and may overcome BTKi resistance. Enrollment is ongoing.

Abstract BACKGROUND High-grade and recurrent meningiomas frequently demonstrate aggressive behavior and therapeutic resistance, with limited treatment options. Dysregulation of the MAPK and FAK pathways drive meningioma progression, but compensatory activation between these pathways could limit single agent efficacy. Recently, a clinical trial (Alliance A071401) showed encouraging efficacy of single-agent FAK inhibition in recurrent/progressive meningioma (Brastianos et al, JCO 2023). This preclinical study aimed to evaluate the therapeutic potential of dual RAF/MEK (avutometinib) and FAK (VS-4718) inhibition in suppressing tumor growth and improving survival in intracranial meningioma models. METHODS Orthotopic intracranial models were established by injecting IOMM-Lee (Fluc-mCherry) or CH157-MN (eGFP-LUC2) cells into nu/nu mice. Mice were randomized into four groups: vehicle, VS-4718 (murine formulation of defactinib, 50 mg/kg, BID), avutometinib (0.3 mg/kg, QD), or combination therapy. Treatments were administered for a 4-week period. Tumor growth was monitored via bioluminescent imaging (BLI) at baseline, midpoint, and study endpoint. Pharmacokinetic (PK) and pharmacodynamic (PD) effects were assessed by intratumoral drug concentrations and Western blotting for p-ERK and p-AKT, respectively. RESULTS In the NF2-mutant CH157-MN model, avutometinib increased median survival from 12.5 to 20.5 days (p=0.001), while combination therapy extended survival further to 22 days (p&lt;0.0001 vs vehicle). Similarly, in the NF2-wildtype IOMM-Lee model, avutometinib raised survival from 27.5 to 33 days (p=0.0237), with combination therapy reaching 34.5 days (p=0.0057 vs vehicle). VS-4718 monotherapy did not extend survival in both models. BLI demonstrated significant inhibition of tumor growth in both avutometinib and combination groups in both tumor models. PK analysis revealed Kp values of 0.26–0.37 for avutometinib and 0.46–0.50 for VS-4718 in orthotopic tumor tissue. Furthermore, combination therapy lowered p-ERK in tumors (p=0.001) compared to vehicle. CONCLUSION Dual RAF/MEK and FAK inhibitor therapy blocks MAPK activation and enhances survival in orthotopic meningioma models, supporting further clinical evaluation for aggressive meningiomas.

Abstract Background and Aims Patients with catecholaminergic polymorphic ventricular tachycardia (CPVT) are at risk for potentially life-threatening arrhythmic events (AEs) even while treated with β-blockers. The aim was to develop a model for individualized prediction of AEs in patients with RYR2-mediated CPVT on β-blocker monotherapy. Methods The derivation and independent validation cohorts included 743 and 129 patients, respectively. AEs were defined as arrhythmic syncope, appropriate implantable cardioverter–defibrillator shock, sudden cardiac arrest (SCA), and sudden cardiac death. Near-fatal or fatal AEs (nf/fAEs) included all AEs except for arrhythmic syncope. Prediction models using Cox regression were developed and internally and externally validated. Results A total of 102 (13.7%) patients in the derivation cohort and 24 (18.6%) patients in the validation cohort experienced ≥1 AE over a median follow-up of 5.1 [interquartile range (IQR), 7.7] and 2.4 (IQR, 4.4) years, respectively. Predictors of AE were arrhythmic syncope or SCA prior to diagnosis and age at β-blocker initiation. In the derivation and validation cohorts, the optimism-corrected C-indices of the models for AE were 0.67 [95% confidence interval (CI) 0.62–0.72] and 0.59 (95% CI 0.48–0.71), respectively. For nf/fAEs, ventricular arrhythmia severity before β-blocker initiation was a fourth independent predictor, and C-indices of the models in the derivation and validation cohorts were 0.74 (95% CI 0.68–0.80) and 0.60 (95% CI 0.47–0.72), respectively. In the derivation cohort, calibration slopes were 1.00 (95% CI 0.59–1.41) for AE and 1.00 (95% CI 0.69–1.32) for nf/fAE. Conclusions These externally validated risk prediction models using clinical parameters accurately distinguished CPVT patients on β-blocker monotherapy at low and high risk for future AEs while treated with β-blockers. These models provide guidance for implementation of clinical management therapies to prevent AEs in patients with CPVT.

Background The Woven EndoBridge (WEB) device represents an innovative solution for cerebral aneurysm occlusion, particularly for challenging wide-neck bifurcation aneurysms. However, factors affecting sustained occlusion remain poorly understood. We utilized machine learning to attempt to identify predictors of favorable long-term outcomes following WEB treatment. Methods In this multicenter retrospective study, we collected patient demographics, aneurysm characteristics, procedural details, and clinical outcomes. The primary endpoint was improvement in occlusion status, defined as maintained Raymond-Roy Occlusion Classification (RROC) grade 1, or improvement from grade 2 to 1, or from grade 3 to either 2 or 1 on final angiographic follow up. The dataset was split into training (75%) and validation (25%) sets. The CatBoost algorithm was selected based on performance metrics, with Shapley Additive exPlanations (SHAP) values calculated to determine feature importance. Furthermore, a multivariable binomial logistic regression model was performed to validate machine learning findings. Results Among 720 aneurysms from 36 hospitals, 84% showed improvement in occlusion at follow up. Both machine learning and multivariable logistic regression identified aneurysm height as the most consistent correlate of nonimprovement (odds ratio (OR) 0.90 per mm, p = 0.022). In the CatBoost model, the highest-ranking features by SHAP included aneurysm height, patient age, treatment acuity, ACom location, WEB-SLS device, bifurcation anatomy, aneurysm multiplicity, baseline modified Rankin Scale, access route, and partial thrombosis. Conclusions Machine-learning and regression analyses identified consistent predictors of occlusion improvement after WEB treatment, with aneurysm height most strongly linked to nonimprovement. These insights may guide patient selection and follow up. Findings require cautious interpretation and external validation in larger cohorts.

Background: Coronary computed tomography angiography (CCTA) is vital for diagnosing ischemic heart disease, yet its accuracy is affected by varying reader expertise. Artificial Intelligence (AI)-driven automated stenosis assessment offers promise for enhancing diagnostic consistency. Aim: We aim to evaluate an AI-CCTA assessment against invasive coronary angiography, invasive FFR, and expert readings. Methods: We performed a comprehensive search in Web of Science, Scopus, PubMed, Cochrane Library, and EMBASE from inception until March 2025. Two independent reviewers screened articles and extracted data on study design, patient demographics, AI methodology, stenosis thresholds, and outcomes. For statistical analysis, we constructed summary receiver operating characteristic (SROC) curves and used a bivariate random-effects model to derive pooled sensitivity, specificity, diagnostic odds ratios (DOR), and area under the curve (AUC). Forest plots were generated to visualize these metrics. Results: Our meta-analysis included 34 studies with 10,067 patients. AI-based CCTA demonstrated excellent diagnostic performance with an AUC of 0.932 for per-patient analysis. The pooled per-patient sensitivity was 0.89 (95% CI: 0.87–0.91) and specificity was 0.80 (95% CI: 0.74–0.86), with a DOR of 37.07 (95% CI: 24.57–55.92). AI validated against expert readers achieved the highest accuracy (0.94, 95% CI: 0.87-0.98). The >70% stenosis threshold demonstrated superior performance (accuracy: 0.89, specificity: 0.96) compared to the >50% threshold (accuracy: 0.86, specificity: 0.87). Per-vessel analysis showed comparable results with an AUC of 0.905. Conclusion: Our meta-analysis confirms that AI-assisted coronary CT angiography delivers high diagnostic performance for coronary stenosis detection, with strong AUC values, high sensitivity and specificity, and robust diagnostic odds ratios across both per-patient and per-vessel assessments.