Citations

Abstract Biallelic colony‐stimulating factor 1 receptor ( CSF1R ) variants are a major cause of early‐onset CSF1R ‐related disorder (CSF1R‐RD), although fewer than 30 cases have been reported and genotype–phenotype correlations remain unclear. The aim of this study was to characterize the clinical, radiological, and genetic features of patients with brain abnormalities, neurodegeneration, and dysosteosclerosis (BANDDOS). Six patients with biallelic CSF1R variants underwent detailed clinical, neurological, and magnetic resonance imaging evaluation. Three siblings with a homozygous p.Gly585Val variant showed marked phenotypic variability, ranging from severe childhood‐onset neurodegeneration to an asymptomatic presentation, all with white matter abnormalities. Three unrelated patients carried different biallelic CSF1R variants and presented with congenital skeletal abnormalities or early‐onset neurological disease of variable severity. These cases broaden the phenotypic spectrum of biallelic CSF1R‐RD and demonstrate that disease severity cannot be predicted solely by genotype, suggesting an important role for genetic or environmental modifiers.

ABSTRACT Background Radiotherapy is a cornerstone of treatment for pediatric central nervous system (CNS) tumors, but dose selection remains uniform despite interpatient variability in tumor radiosensitivity. This is consequential in children, for whom toxicity can have lifelong effects. Genomic-adjusted radiation dose (GARD) integrates tumor genomics with delivered radiation dose to quantify the biological effect of radiotherapy and has been validated across adult malignancies. Its relevance in pediatric CNS tumors is unknown. Methods We performed a cohort study using gene expression and data from 246 pediatric patients with high-grade glioma, medulloblastoma, or ependymoma from the Children’s Brain Tumor Network. GARD was calculated using a sequencing-adapted radiosensitivity index integrated with radiation dose through the linear–quadratic model. Associations of GARD and physical radiation dose with event-free and overall survival were evaluated using Cox proportional hazards models stratified by tumor type and anatomic location. Patients who did not receive radiotherapy comprised a negative control cohort (sham-GARD). Results Among patients receiving radiotherapy, physical dose was uniform, whereas GARD showed substantial interpatient variability in biological effect. Higher GARD was associated with improved event-free survival (hazard ratio [HR] 0·90, 95% CI 0·83–0·97; p=0·004) and overall survival (HR 0·90, 95% CI 0·83–0·99; p=0·018). Physical dose was not associated with either endpoint. Among patients who did not receive radiotherapy, sham-GARD was not associated with outcomes, supporting GARD as a treatment-specific predictor rather than a prognostic biomarker. Conclusions In pediatric CNS tumors, the biological effect of radiotherapy quantified by GARD was associated with outcomes, whereas physical dose was not. These findings challenge uniform radiotherapy dosing and support genomically informed dose individualization. Prospective evaluation of GARD-guided radiotherapy is warranted to optimize tumor control while minimizing long-term toxicity in children.

Background: Atezolizumab plus bevacizumab (A + B) and durvalumab plus tremelimumab (D + T) are approved first-line systemic therapy options for advanced hepatocellular carcinoma (HCC), with no head-to-head comparison. In this propensity-matched analysis, we compared the survival of patients with advanced HCC who received either A + B or D + T therapy. Methods: Patients with advanced HCC who received A + B or D + T treatment in the first-line setting were identified using the TriNetX platform, a health research network that provides access to electronic health record data from 112 healthcare organizations. Propensity-score-matched (PSM) analysis was conducted, and the median overall survival (OS) was estimated using the Kaplan–Meier method. Results: We identified 2819 patients with HCC who were treated with A + B or D + T: 2031 patients received A + B and 788 received D + T. Compared to patients in the A + B cohort, those who received D + T were more likely to be older (median age: 68.4 vs. 66.9 years), have lower platelet counts (186.8 vs. 201.3), higher prevalence of hypoalbuminemia with levels < 2.7 g/dL (35.2% vs. 28.4%), higher prevalence of bilirubin levels between 2.0 and 2.9 mg/dL (28.8% vs. 23.8%), and decreased INR with levels between 0.0 and 1.6 (92.1% vs. 86.3%). After PSM, 1536 patients were included in the survival analyses, with all variables adequately matched. There was no significant difference in the median OS between those receiving A + B or D + T [16.3 vs. 22.5 months, hazard ratio (HR) 0.89, 95% confidence interval (CI) 0.76–1.0]. Higher rates of immune-mediated colitis were noted in the D + T group. Conclusions: Similar survival rates were observed among patients with advanced HCC who received A + B and D + T in the first-line setting. Our study suggests that both A + B and D + T are valid treatment options, and that therapy can be tailored based on comorbidities, adverse effects, and patient preferences.

Importance Although the Martin-Hopkins equation is widely validated and used to estimate low-density lipoprotein cholesterol (LDL-C) for clinical care, a simplified equation could streamline implementation and enable broader adoption. Objective To develop a simplified machine learning–based alternative to the Martin-Hopkins equation using multivariate adaptive regression splines (LDL-C–MH-MARS) and compare its performance with the Friedewald (LDL-C–F), Sampson–National Institutes of Health (LDL-C–S), Modified Sampson (LDL-C–MS), and Martin-Hopkins (LDL-C–MH) equations. Design, Setting, and Participants The Very Large Database of Lipids is a cross-sectional database of clinical lipid measurements from a population-representative convenience sample of adult and pediatric patients. Lipid measurements were performed by Vertical Auto Profile ultracentrifugation between October 1, 2015, and June 30, 2019. The study included patients with complete lipid panel data who were randomly assigned to a training set and a test set. External validation against preparative ultracentrifugation-based LDL-C measurements was performed in reference laboratory datasets from the Mayo Clinic (broad LDL-C concentrations) and the Further Cardiovascular Outcomes Research With Proprotein Convertase Subtilisin/Kexin Type 9 (PCSK9) Inhibition in Subjects with Elevated Risk (FOURIER) trial (observations from patients with low LDL-C concentrations while taking evolocumab). Study data were analyzed from January to October 2025. Exposures LDL-C–F, LDL-C–S, LDL-C–MS, LDL-C–MH, and LDL-C–MH-MARS equations. Main Outcomes and Measures Accuracy of estimated vs ultracentrifugation-measured LDL-C concentration based on bias, root mean square error (RMSE), and concordance by guideline-based categories. Results The study included 4 939 528 patients (mean [SD] age, 56 [16] years; 2 635 486 female [53%]) with complete lipid panel data who were randomly assigned to a training set (n = 3 292 889) and a test set (n = 1 646 639). LDL-C–MH-MARS equation demonstrated a very low median (IQR) bias of −0.1 (−2.1 to 1.8) mg/dL (to convert to millimoles per liter, multiply by 0.0259), comparable with LDL-C–MH. The median (IQR) difference between the MARS and original Martin-Hopkins equations (ie, LDL-C–MH-MARS – LDL-C–MH) was −0.5 (−1.2 to 0) mg/dL, further suggesting comparability between the 2 methods. The RMSE was smallest for LDL-C–MH-MARS (4.7 mg/dL) and LDL-C–MH (4.9 mg/dL), followed by LDL-C–S (5.8 mg/dL), LDL-C-MS (6.0 mg/dL), and LDL-C–F (7.2 mg/dL). The proportion of patients correctly classified according to clinical categories was nearly identical for LDL-C–MH-MARS (89.7%) and LDL-C–MH (89.6%) but lower for LDL-C–S (86.3%), LDL-C–MS (84.7%), and LDL-C–F (83.1%). The LDL-C–MH-MARS, LDL-C–MH, LDL-C–MS, LDL-C–S, and LDL-C–F equations underestimated LDL-C concentration in 16%, 17%, 28%, 39%, and 60%, respectively, when classifying LDL-C less than 70 mg/dL in patients with triglyceride concentrations of 200 to 399 mg/dL (to convert to millimoles per liter, multiply by 0.0113). The patterns of results were similar in external validation datasets, with the LDL-C–MH-MARS and LDL-C–MH equations demonstrating the highest accuracy. Conclusions and Relevance Study results suggest that the new machine learning–based LDL-C equation provided results comparable with those of the original Martin-Hopkins method while simplifying implementation to a single equation.

Abstract Rural and low-socioeconomic status women face social determinants of health barriers leading to disproportionately low rates of breast cancer screening and markedly reduced participation in clinical trials. To address this gap, we developed the WeCARE (Women’s Engagement for Cancer Awareness, Resources, and Education) intervention using a community-engaged approach. This paper describes how Community Advisory Board feedback informed the development of Mayo Clinic Health System’s WeCARE intervention components. Their input was systematically analyzed using the Consolidated Framework for Implementation Research (CFIR 2.0) to identify determinants of acceptability, appropriateness, and feasibility and to guide actionable refinements to intervention content and delivery.

Abstract Colony-stimulating factor 1 receptor-related adult-onset leukoencephalopathy with axonal spheroids and pigmented glia (CSF1R-ALSP) is a rare, fatal, autosomal-dominant neurodegenerative disorder caused by pathogenic CSF1R variants and characterized by progressive cognitive, neuropsychiatric, and motor dysfunction, white matter lesions on brain imaging, and white matter demyelination, swollen axons, and pigmented glial cells on pathology. Limited data regarding clinical, biofluid or radiological biomarkers of disease severity are available, and no clinical trial endpoints have yet been validated. The objectives of this first-of-its-kind, prospective, observational natural history study were to characterize the clinical trajectory of CSF1R-ALSP and to identify and evaluate key biomarkers and clinical endpoints indicative of disease severity and progression. ILLUMINATE (NCT05020743) was a multicentre, noninterventional natural history study of adults with CSF1R-ALSP and prodromal carriers of CSF1R variants. Participants were followed for up to 36 months, with clinical assessments, fluid biomarkers and volumetric MRI assessments of brain atrophy collected at screening and every 6 months. This study was terminated early (4 June 2025). The analyses reported here include data collected through 19 February 2025. Of 53 participants, 19 were prodromal and 34 were symptomatic (11 of whom had a history of haematopoietic stem cell transplant and 23 who did not). Mean participant age was 47.8 (standard deviation, 4.5) years, and 36.4% were female. Prodromal participants remained relatively stable over 36 months, with little change in neurological function, neurodegeneration biomarkers or radiological disease burden. Impaired neurological function, MRI characteristics of CSF1R-ALSP, and elevated NfL (neurofilament light chain; neurodegeneration biomarker) and GFAP (glial fibrillary acidic protein; astrogliosis biomarker) levels were more pronounced at baseline and often showed progression over time among symptomatic participants who had not previously received haematopoietic stem cell transplant compared with participants who had previously received haematopoietic stem cell transplant. Significant correlations were observed at baseline and longitudinally between MRI measures of brain atrophy and clinical outcome measures. Based on the fluid biomarkers, MRI measures, and clinical outcome assessments evaluated here, active neurodegeneration, widespread changes visualized on brain MRI, and impaired cognitive and motor function were observed in symptomatic patients with CSF1R-ALSP. The neurological impairment can be assessed using the Montreal Cognitive Assessment and Cortical Basal ganglia Functional Scale. Our data suggest that quantification of brain atrophy using MRI volumetry is a potential biomarker of disease severity and progression in CSF1R-ALSP. It is hoped that this report will contribute to the understanding of disease progression in CSF1R-ALSP and inform future drug development.

Abstract We report an eightfold increase in sulbactam-durlobactam MICs in a carbapenem-resistant Acinetobacter baumannii cerebrospinal fluid isolate recovered after 14 days of sulbactam-durlobactam plus meropenem therapy. Treatment-emergent mutations in the AdeFGH efflux system were identified, accompanied by a 166-fold increase in adeG expression. Efflux pump inhibition restored sulbactam-durlobactam susceptibility.

Abstract Background Radiation-induced heart disease (RIHD) may develop months to years following radiation therapy for cancers near the heart such as lung or breast cancer. Several mouse models of RIHD exist to study the pathogenesis of disease, but to our knowledge no studies have examined whether sex differences exist in RIHD in mice. Methods Female and male BALB/cJ mice received one whole heart dose of 22 Gray (Gy) radiation via a C5 collimator vs. sham controls that received 0 Gy, anesthesia and were placed in the X-ray machine for the same length of time. Mechanisms of cardiotoxicity were examined at 24 h (innate cardiotoxicity), day 10 (acute cardiotoxicity) and day 35 (chronic cardiotoxicity) post irradiation. Results Females and males developed dsDNA breaks from radiation at day 10 but females had more damage than males ( p < 0.001). Vessel area and cardiac hypertrophy were increased by radiation at day 10 and 35 but were higher in males than females at day 35 ( p < 0.001, p = 0.001, respectively). Bulk RNA sequencing of the heart at day 10 revealed that females and males developed similar gene pathway responses to radiation by upregulating cellular repair pathways and downregulated mitochondrial function. However, females upregulated the master regulator of mitochondrial function, Pgc1α ( p = 0.0001), suggesting improved mitochondrial repair in females. By day 35, males developed heart failure with reduced ejection fraction (HFrEF), inflammatory dilated cardiomyopathy (iDCM) and fibrosis while females developed heart failure with preserved ejection fraction (HFpEF) without inflammation or fibrosis. Conclusions We observed sex differences in nearly every cardiac parameter that we examined following radiation exposure. BALB/c males exposed to 22 Gy radiation developed HFrEF and iDCM by day 35 while females developed HFpEF. Further research is needed to better understand mechanisms driving sex differences in RIHD using translational animal models.

139 Background: Statins have been shown to reduce the risk of HCC in high-risk populations with metabolic diseases. However, emerging data suggests that GLP-1 RA’s may also offer hepatoprotection by reversing metabolic and inflammatory drivers contributing to HCC development. Patients with T2DM are at an increased risk of metabolic associated steatotic liver disease (MASLD) and HCC. To our knowledge, no real-world studies have directly compared the effectiveness of GLP-1 RA’s and statins for prevention of HCC in patients with T2DM. In this study, we aim to compare the incidence of HCC and hepatic decompensation events in patients with T2DM treated with GLP-1 RA’s vs statins. Methods: We performed a retrospective cohort study using data from TriNetX, a healthcare database of over 150 million patients in the United States. Adult patients with T2DM were identified and stratified by use of GLP-1 RA (semaglutide, dulaglutide, tirzepatide, exenatide, liraglutide, and lixisenatide) or statin (pitavastatin, simvastatin, fluvastatin, atorvastatin, rosuvastatin or lovastatin). Exposure groups were mutually exclusive with no overlap in GLP-1 RA or statin use. Propensity score matching was conducted between cohorts, matching for age, sex, race, tobacco use, alcohol use, hypertension, hyperlipidemia, obesity, MASLD, aspirin use, non-steroidal anti-inflammatory analgesic drug use, and other T2DM medications. Five-year incidence of HCC was compared between the GLP-1 RA and statin cohorts. In a subsequent analysis, hepatic decompensation events of ascites, hepatic encephalopathy (HE), spontaneous bacterial peritonitis (SBP), and esophageal varices (EV) were compared. Results: We identified 1,411,022 patients with T2DM, including 254,832 GLP-1 RA users and 1,156,190 statin users. After PSM, 219,984 patients were included in the analysis. There was no significant difference in the five-year incidence of HCC between the GLP-1 RA and statin cohorts (0.14% vs 0.15%, odds ratio (OR) 0.95, 95% confidence interval (CI)0.81-1.11, p =0.5). In the subsequent analysis, GLP-1 RA use was associated with a lower incidence of ascites (0.98% vs 1.99%, OR 0.84, 95% CI 0.46-0.51, p <0.001), HE (0.18% vs 0.22%, OR 0.84, 95% CI 0.74-0.96, p =0.01), and SBP (0.05% vs 0.1%, OR 0.52, 95% CI 0.42-0.65, p <0.001). There was no difference in incidence of EV (0.33% vs 0.35%, OR 0.94, 95% CI 0.85-1.04, p =0.25). Conclusions: In patients with T2DM at elevated risk for MASLD and HCC, we found that GLP-1 RA use was associated with significantly lower incidence of hepatic decompensation events compared to statin use. However, there was no significant difference in HCC incidence between the cohorts. Prospective studies are warranted to confirm the hepatoprotective effect of GLP-1 RA medications and evaluate long-term oncologic outcomes.

138 Background: Glucagon-like peptide-1 receptor agonists (GLP-1 RA’s) have advanced the treatment of type 2 diabetes mellitus (T2DM), yet their association with cancer risk remains subject of ongoing research. Inflammatory bowel disease (IBD), including Crohn’s disease (CD) and ulcerative colitis (UC), is a well-established risk factor for colorectal cancer (CRC). Studies have shown a reduced risk of CRC with GLP-1 RA use however, the impact of GLP-1 RA therapy in the high-risk IBD population is unknown. In this study, we aim to evaluate the association between GLP-1 RA use and CRC incidence among patients with IBD, and among those with IBD and T2DM. Methods: We performed a retrospective cohort study using data from TriNetX, a healthcare database of over 150 million patients in the United States. In the first analysis, adult patients with pre-existing IBD were identified and stratified by use of a GLP-1 RA (semaglutide, dulaglutide, tirzepatide, exenatide, liraglutide, and lixisenatide) or not. Propensity score matching (PSM) was conducted between GLP1-RA users and non-users, matching for age, sex, race, tobacco use, alcohol use, hypertension, hyperlipidemia, obesity, IBD subtype (CD or UC), steroid use, immunosuppressive use including biologics, and other T2DM medications. Five-year incidence of CRC was compared between GLP-1 RA users and non-users in the matched cohort between 2015 and 2025. We then restricted the cohort to patients with IBD and T2DM and repeated this analysis. Results: We identified 1,137,300 patients with IBD, including 70,303 GLP-1 RA users and 1,066,997 non-users. After PSM with all variables adequately matched, 69,221 patients were included in the analyses. GLP-1 RA use was associated with a lower 5-year incidence of CRC (0.2% vs. 0.43%, odds ratio (OR) 0.49, 95% confidence interval (CI) 0.3-0.57, p <0.001). We then identified 209,649 patients with IBD and T2DM, including 38,567 GLP-1 RA users and 171,082 non-users. After matching for all variables, 37,740 patients were included in the analyses. Among patients with IBD and T2DM, GLP-1 RA use was associated with a lower 5-year incidence of CRC (0.31% vs. 0.57%, OR 0.54, 95% CI 0.43-0.68, p <0.001). Conclusions: GLP-1 RA use was associated with a significantly reduced incidence of CRC in all patients with IBD, as well as the subpopulation with both IBD and T2DM. Given the elevated CRC risk in IBD, these findings suggest a potential protective effect of GLP-1 RA use in this high-risk population. Prospective studies will be important to further analyze and confirm this potential benefit.