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Abstract Context Most of the patients included in the clinical trials and real-world studies with osilodrostat only include patients with adrenocorticotropic hormone dependent Cushing syndrome (CS), while data on the efficacy and safety of osilodrostat in patients with adrenal CS is scarce. Objective To assess the efficacy and safety of osilodrostat in adrenal CS. Methods International study of patients with adrenal CS: patients treated with osilodrostat at any time were enrolled in the safety evaluation and those treated for longer than 4 weeks, in the efficacy evaluation. Patients were classified as responders if they experienced a reduction in urinary free cortisol (UFC) >50% (complete responders when UFC levels were below the upper limit of normal [ULN] and partial responders if there was a reduction >50% but not normalization). Results Twenty-eight patients with adrenal CS were enrolled: 16 with adrenocortical carcinoma and 12 with benign disease. Osilodrostat was used in monotherapy in 22 patients and in combination with metyrapone in 6 cases. In those patients treated for longer than 4 weeks (n = 21), 66.7% were classified as responders (28.6% with complete response and 38.1% with partial response), and for those treated for longer than 12 weeks, the rate of response increased to 87.5% The use of osilodrostat as a nonfirst-line therapy (odds ratio 15.0, P = .010) was a predictor of response. Osilodrostat led to a significant decrease in systolic blood pressure and body weight (P < .05). Nine patients developed one or more adverse events and in 56% (n = 5) led to osilodrostat discontinuation. Conclusion Osilodrostat controls hypercortisolism in 66.7% of patients with adrenal CS treated for longer than 4 weeks and in 87.5% of cases treated for longer than 12 weeks, with a positive impact on blood pressure and body weight. Patients who received osilodrostat after other previous steroidogenesis inhibitors have a higher probability of response.

Purpose: With the increasing prevalence of sleeve gastrectomy, complications and insufficient weight loss have become more common, making conversion to Roux-en-Y gastric bypass (RYGB) a frequent revisional approach. Given the higher risk of revisional surgery, we aimed to compare primary versus conversion RYGB surgery and assess whether robotic assistance impacts outcomes. Method: This retrospective study included 378 patients after 2:1 propensity score matching based on demographic and clinical characteristics, comparing primary Roux-en-Y gastric bypass (P-RYGB) with sleeve gastrectomy–to–Roux-en-Y gastric bypass (SG-RYGB). The matched cohort included both robotic and laparoscopic cases performed at a single tertiary center between 2012 and 2024. A secondary 2:1 matched sub-analysis of robotic cases ( n = 297) evaluated whether robotic assistance reduced differences between primary and revisional surgery. Weight-loss outcomes were assessed at 6 and 12 months in the full cohort, with an additional sub-analysis limited to SG-RYGB performed for weight-loss indications. Results: In the full cohort ( n = 378), SG-RYGB was associated with longer operative time, greater blood loss ( P < .001), longer hospital stay ( P = .04), and higher late complication rates ( P = .04). In the robotic-only matched analysis ( n = 297), differences in operative time and blood loss were no longer significant, and early and late outcomes were comparable, although length of stay still remained longer for SG-RYGB ( P = .05). Among patients undergoing SG-RYGB for weight loss purposes only, total body weight loss percentage reached 16.5% ± 6.6% at 6 months and 20.4% ± 7.1% at 12 months but remained lower than that observed in the P-RYGB group ( P < .001). Conclusion: SG-RYGB conversion demonstrated favorable outcomes and meaningful weight loss. Robotic assistance was associated with improved operative time, reduced blood loss, and fewer late complications in the SG-RYGB group, further narrowing differences with P-RYGB, supporting its role in complex revisional bariatric surgery at high-volume centers.

Abstract Diffuse leptomeningeal glioneuronal tumors (DLGNT) are rare central nervous system tumors. Our understanding of the clinical course, prognostic factors, and optimal treatment strategies remains limited. Histologic, molecular, and clinical data were collected and analyzed for 25 patients with DLGNT reviewed at St. Jude Children’s Research Hospital. The median age at diagnosis was 6 years (11 months-20 years). Nineteen (72%) patients were male. The disease was localized at diagnosis in 12 (48.0%) patients, with most tumors localized in the spinal cord. BRAF fusion was present in 22 (95.6%) of 23 patients who had material for testing. Of 18 patients who had tissue for DNA methylation profiling, 3 (16.7%) matched to DLGNT MC-1, 3 (16.7%) to DLGNT MC-2, and 12 (66.7%) did not match to a DLGNT subclass. Median follow-up was 63 months. Twenty-four (96.0%) patients received adjuvant therapy after initial diagnosis or at progression. Thirty-five cytotoxic chemotherapy and 24 single-agent targeted therapy regimens were used in 22 and 13 patients, respectively. With targeted therapy, 3 (12%) patients had partial responses. Eleven (44.0%) received radiotherapy. Median progression-free survival (PFS) after a patient’s first chemotherapy, targeted therapy, or radiotherapy regimen was 44 months (1-77), 11 months (4-39), and 16.5 months (9-23), respectively. The 5-year PFS was 18.7%±9.2, while the 5-year overall survival (OS) was 82.4%±9.2. The 5-year OS was lower in patients older than 9 years at diagnosis (60.0%±21.9 vs 91.7%±8.0, p = 0.02). Ki67 &gt;4% was associated with worse PFS (0%±0 vs 24.6%±11.9 at 5 years, p = 0.03). Initial disease dissemination (localized vs. disseminated) and 1q gain status do not influence PFS or OS. PFS for DLGNT remains poor across all treatment modalities, including targeted therapies, despite the high frequency of BRAF fusions. Due to its rarity, establishing optimal therapeutic strategies for DLGNT requires additional treatment and outcome data and prospective multi-institutional trials.

Abstract Monoclonal gammopathy of undetermined significance (MGUS) is a necessary precursor condition to multiple myeloma (MM). Given the role of autophagy in modulating MM risk, we investigated whether genetic variation in autophagy‐related genes influences susceptibility to MGUS. We analyzed the association of 34,042 common autophagy‐related single nucleotide polymorphisms (SNPs) with MGUS across six independent cohorts, five from Europe and one from North America, comprising 2317 MGUS cases and 282,358 controls. We also assessed their impact on immune parameters, including absolute counts of 91 blood‐derived immune cell subsets and 103 circulating immunological proteins. Meta‐analysis revealed a genome‐wide significant association between the ULK4 rs6599175C allele and increased MGUS risk ( p = 3.35 × 10 −8 ). Carriers of this allele showed reduced counts of memory B cell subsets (IgM+CD38+CD27+ and IgD+IgM+CD27+; p = .0038 and p = .0056, respectively) and natural effector B cells (CD24+CD38+IgD+IgM+ cells; p = .0060). Although these associations were not statistically significant after multiple testing correction, they suggest a role of ULK4 in early B‐cell differentiation. Additionally, the CDKN2A rs2811710 variant showed a suggestive association with MGUS risk ( p = 2.17 × 10 −4 ), affecting transcription factor binding involved in B‐cell proliferation and differentiation, although it lacked association with immune markers. In conclusion, we confirm a genome‐wide significant association of the ULK4 locus and MGUS risk, supporting its role in early B‐cell differentiation, and identify CDKN2A as a candidate susceptibility locus warranting further investigation.

Abstract The diagnosis of predementia stages indicates an increased risk of progression to dementia. The Amyloid, Tau, and Neurodegeneration AT(N) classification considers measurements of altered proteins and the presence of neurodegeneration to classify the risk groups regarding the pathophysiology of Alzheimer's disease (AD). The cognitive and anatomical characteristics of the patients in the predementia stage according to the AT(N) classification are not fully understood. To investigate whether there are differences in the clinical and anatomical profiles among older adults in the predementia stage according to the ATN classification, and to investigate the associations involving cognition and cortical thickness and subcortical volume in the AT(N) groups. In total, 72 older adults with subjective cognitive decline and mild cognitive impairment were allocated to groups according to the AT(N) classification (AD continuum: n = 37; suspected non-AD pathophysiology: n = 8; normal biomarkers: n = 27). The participants were investigated through cognitive tests, magnetic resonance imaging scans, and cerebrospinal fluid analyses. We used multivariate and univariate analyses with post-hoc testing to verify differences among groups. In addition, linear regressions were performed to verify the interactions involving cognition and gray matter metrics. The suspected non-AD pathophysiology group showed worse performance in attention/executive function than the AD continuum and normal biomarkers groups (p = 0.04). However, the ATN classification groups did not differ in terms of cortical thickness (p > 0.05). In addition, in the AD continuum group, memory was associated with left fusiform gyrus thickness (p = 0.000 uncorrected; r = 0.238). Cognition, but not gray matter metrics, differs among AT(N) classification groups. Memory is associated with cortical thickness in patients with positive amyloid Beta (AD continuum).

Background: Tumor mutational burden (TMB) is an FDA-approved biomarker for immune checkpoint inhibitor (ICI) therapy. However, its predictive value varies among tumor types and molecular contexts. We investigated whether a very high TMB identifies a biologically distinct subset and whether a higher cutoff provides additional clinical insights beyond the conventional high TMB threshold. Methods: We analyzed 133 patients with advanced solid tumors and TMB ≥ 10 mutations/Mb (mut/Mb) who underwent tumor genomic profiling using a 523-gene DNA/RNA next-generation sequencing panel. Tumors were stratified into prespecified TMB categories: 10–20 mut/Mb (TMB-H) and >20 mut/Mb (TMB-VH). The clinical characteristics, ICI outcomes (in the treated subset), and pathway-level genomic features were compared between groups. Results: TMB-VH was observed in 42/133 (31.6%) patients and spanned more than 20 tumor types. MSI was markedly more prevalent in TMB-VH than in TMB-H tumors (38.1% vs. 2.2%; Fisher’s exact p = 8.9 × 10−8). Pathway-level comparisons did not identify statistically significant differences after false discovery rate correction (all q > 0.05), and the observed patterns were descriptive in nature. In the ICI-treated subset with complete follow-up, objective response did not differ according to the TMB group. Overall survival (OS) was also similar between groups, whether measured from metastatic diagnosis (log-rank p = 0.937) or from ICI initiation (log-rank p = 0.814), although OS was numerically longer in the TMB-VH group in both analyses without reaching statistical significance. Conclusions: In this cohort study, TMB-VH was strongly associated with MSI but not independently associated with improved ICI outcomes. Larger multicenter cohorts are needed to validate pathway-oriented patterns and clarify the clinical utility of extreme TMB thresholds across various histologies. Integrating the functional context (e.g., MSI status, gene-level context, and pathway-level features) with TMB magnitude may enable more robust, tumor-aware biomarker models for immunotherapy selection.

Background Antitumor immune responses induced by oncolytic immunotherapy (OI) are often followed by upregulation of programmed death-ligand 1 (PD-L1). As such, the combination of OI with blockade of the programmed cell death protein-1 (PD-1)/PD-L1 axis has demonstrated therapeutic activity in preclinical and clinical trials. The purpose of this study is to understand further the immune-mediated mechanism of interaction between oncolytic viruses and anti-PD-1 therapy. Methods Tumor cells and immune cells (splenocytes) were cultured separately, or in co-culture with vusolimogene oderparepvec, an oncolytic herpes simplex virus expressing the fusogenic gibbon-ape leukemia virus-fusogenic membrane glycoprotein protein (GALV) and granulocyte-macrophage colony-stimulating factor (GM-CSF), also known as RP1. Viral replication, interferon (IFN) responses and PD-L1 expression were analyzed using wild-type, IFNAR1, TNFAR1 and STING knockout splenocytes. In vivo studies evaluated immune cell infiltrates into the tumor following RP1 administration with anti-PD-1 therapy. Results RP1 replication was evident in tumor cells but not splenocytes. This was also accompanied by upregulated IFN expression in cultured splenocytes that was absent in cultured tumor cells. However, when these cell types were co-cultured, splenocytes mediated an interferon response to RP1 via STING that was transmitted to tumor cells in a non-touch-dependent manner. Tumor cells responded to these input signals via upregulation of cell surface major histocompatibility complex-I and PD-L1 through tumor intrinsic JAK-STAT signaling. In vivo, an IFN signature was observed following intratumoral injection of RP1, both in injected and non-injected tumors, which was further increased when combined with anti-PD-1 therapy. Marked upregulation of PD-L1 was observed in tumors injected with RP1 accompanied by the recruitment of CD11b+Ly6G+neutrophils into the tumor microenvironment, which stained positive for PD-L1. Conclusion Overall, the data demonstrate that RP1 remodels the tumor microenvironment through a combination of direct and indirect effects on both tumor and immune cells, resulting in an overall more inflamed phenotype.

Abstract Background Cardiomegaly is a clinically significant incidental finding on chest computed tomography (CT) associated with heart failure, arrhythmias, and sudden cardiac death. Qualitative radiologist assessment is variable, and automated AI tools may enable objective opportunistic cardiac volumetry. Purpose To evaluate whether AI-enabled total cardiac volume (TCVAI) derived from non-ECG-gated, non-contrast chest CT can identify cardiomegaly as defined by echocardiography. Materials and Methods This retrospective study included 307 consecutive patients (median age, 67 years; 56% male) who underwent non-contrast chest CT at a single center on 7 scanner types (4 vendors) and clinically indicated echocardiography within 31 days. A commercially available AI tool (AI-Rad Companion, Siemens Healthineers) automatically quantified TCVAI, indexed to body surface area (TCVAI/BSA). Echocardiography reports were reviewed for chamber dilation and left ventricular hypertrophy (LVH), collectively defined as cardiomegaly. Associations between TCVAI/BSA and echocardiographic findings were assessed using correlation, ordinal regression, and receiver operating characteristic (ROC). Interscan repeatability was evaluated in 248 patients with 544 repeat CT examinations. Prespecified sex-specific thresholds were tested in a temporally independent validation cohort of 50 patients. Results Median TCVAI was higher in patients with cardiomegaly than those without (1061.9 vs 798.4 mL; P &lt; .001). TCVAI/BSA was associated with chamber dilation and LVH severity on univariate analysis and remained associated in multivariable ordinal models, except for right ventricular dilation. Discriminatory performance was fair to good, with area under the curve (AUC) 0.81 (95% CI, 0.75-0.87) in men and 0.77 (95% CI, 0.69-0.85) in women. Interscan repeatability was excellent (intraclass correlation coefficient [ICC]: 0.93). In independent validation, performance ranged from sensitivity 89.3%/specificity 27.3% at a high-sensitivity threshold to sensitivity 28.6%/specificity 100% at a high-specificity threshold. Conclusion AI-derived cardiac volume from routine chest CT shows fair to good performance for identifying echocardiography-defined cardiomegaly with high measurement repeatability, supporting a potential role for automated cardiac volumetry as an objective, opportunistic biomarker.

476 Background: Lack of standardized reporting and collection of patient-reported outcomes (PROs) limits cross-trial comparisons of first-line IO-based regimens for mRCC. Prospectively collected real world data may fill this important knowledge gap. Pts with stable/improved QoL at 3 mo versus baseline have longer median OS than pts with worse/unobserved HRQoL versus baseline (Cella, 2024). Methods: ODYSSEY is a multi-site, prospective observational study of 468 US pts with mRCC. Pts must have mRCC (any histology), no prior systemic therapy (ST), and follow up at a PCORnet study site. Exclusion criteria include treatment for cancer except mRCC. Descriptive statistics are used to show PRO score changes from baseline. We evaluate longitudinal change from baseline in PRO scores using least squares mean (LSM). Minimally important differences (MID) are 3 points for FKSI-19 total score, 1 point for the FKSI-Disease Related Symptoms (DRS) subscale and 7 points for FACT-G. Higher score indicates better QOL. The primary objective is to determine patterns of change in QOL and symptom burden of pts with mRCC. Results: As of 10/1/25, 360 pts were managed with ST, including 266 pts on IO-based combinations: 35 cabozantinib + nivolumab (C+N), 49 lenvatinib + pembrolizumab (L+P), 40 axitinib + pembrolizumab (A+P), and 142 ipilimumab + nivolumab (I+N). Overall median follow-up is 12.1 mos (IQR 6, 24). Age, sex and race were similar across regimens. Prior nephrectomy (50%) was lower than in trials. C+N and L+P pts had less clear cell (56 and 65%) versus A+P and I+N pts (94 and 82%). A+P pts had more favorable IMDC risk (19%) and less poor risk (14%). Baseline QOL was variable across regimens, with L+P generally the lowest. Absolute changes in PROs from enrollment to mo 3 (early change) by regimen are shown in the Table. LSM change from baseline in FKSI-19 and FKSI-DRS favored IO-IO versus IO-TKI at 3 mos but not at 6 mos (not shown). Conclusions: While early change in PROs did not meet the MID threshold between the IO-TKI and I+N cohorts, different patterns of early change are apparent among specific IO-TKI regimens. IO-TKI regimens exhibited higher variation in early PRO change vs I+N. As the data matures, we will associate baseline PROs and early PRO changes with early death and other outcomes. Clinical trial information: NCT04919122 . 3 month change. Instrument C+N (N=35) L+P (N=49) A+P (N=40) All IO-TKI(N=124) I+N(N=142) FKSI-19, N (%) 26 (74) 33 (67) 33 (83) 92 (74) 104 (73) Mean (SD) -0.3 (11) 2.8 (13) -3.2 (12) -0.2 (12) 0.7 (10) Median (IQR) 1.4 (-7, 6) 5.0 (-7, 11) -1.0 (-14, 5) 1.4 (-10, 8) -0.3 (-5, 6) FKSI-DRS, N (%) 26 (74) 33 (67) 33 (83) 92 (74) 104 (73) Mean (SD) -0.8 (5) 1.5 (7) -1.8 (6) -0.3 (6) 0.8 (5) Median (IQR) -0.5 (-5, 3) 2.0 (-5, 5) -1.0 (-5, 3) 0.0 (-5, 4) 0.0 (-2, 4) FACT-G, N (%) 27 (77) 32 (65) 29 (73) 88 (71) 102 (72) Mean (SD) 2.1 (14) 5.2 (16) -3.5 (15) 1.4 (15) 0.3 (13) Median (IQR) 4.0 (-4, 10) 1.2 (-6, 13) -6.4 (-11, 4) 1.6 (-8, 10) 1.6 (-7, 8)