Citations

TPS646 Background: SSTR-targeted RPT has transformed the treatment landscape for NETs, significantly improving clinical outcomes in phase 3 studies versus other targeted therapies. Nevertheless, disease progression and renal toxicity after treatment highlight the need for further improvement. Use of the α-emitter 225 Ac as the radioactive component has shown promising results in clinical studies: initial data from ACTION-1 suggest promising efficacy for RYZ101, a first-in-class, highly potent α-emitting RPT, in patients with SSTR+ GEP-NETs progressing after 2–4 cycles of 177 Lu-somatostatin analogs. RYZ401 is a cyclic 6-amino acid SSTR-targeting peptide agonist conjugated to a DOTA chelator bound to 225 Ac. Preclinical data have shown an improved therapeutic window versus DOTATATE. RYZ401 has the potential to deliver higher radiation doses to tumors, with improved renal clearance and lower kidney absorbed dose, potentially eliminating the need for amino acid infusion. Methods: RYZ401-101 is a global, multicenter, phase 1, first-in-human, dose-escalation/-expansion study designed to determine the recommended phase 2 dose (RP2D) and optimal treatment regimen, safety and tolerability, and preliminary efficacy of RYZ401 in patients with NETs and other selected solid tumors expressing SSTRs. Key eligibility criteria: histologically confirmed metastatic or unresectable well-differentiated NETs; WHO grade 1–3 (Ki-67 ≤55%); ≥1 SSTR PET-positive measurable lesion; and disease progression after ≥1 prior treatment line. In dose escalation, 6–18 patients will receive escalating doses of RYZ401 (2.0–11.1 MBq IV Q6W × 2–4 cycles); no amino acid co-infusion is planned. In dose expansion, approximately 80 patients will receive RYZ401 at the RP2D, 40 patients with well-differentiated GEP-NETs (cohort A) and 40 with other SSTR+ tumors including non-GEP-NETs (cohort B). Primary endpoints: dose-limiting toxicities in weeks 1–4 of treatment (dose escalation) and safety (dose expansion). Secondary endpoints: safety, pharmacokinetics, and efficacy outcomes (dose escalation and expansion). RYZ401 dosimetry will be evaluated in a sub-study of 10−16 patients. Enrollment is ongoing in the USA. Clinical trial information: NCT07165132 .

TPS611 Background: GPC3 is an oncofetal protein expressed in up to 75% of hepatocellular carcinomas (HCCs) and associated with poor prognosis. Its selective expression in tumor and not in normal tissue makes it a promising target for radiopharmaceutical imaging and therapy (theranostics). The GPC3-selective diagnostic RYZ811 ([ 68 Ga]Ga-RAYZ-8009) and therapeutic α particle-emitting RYZ801 ([ 225 Ac]Ac-RAYZ-8009) are a theranostic pair. Previous studies show high uptake of RYZ811 in intrahepatic and extrahepatic HCCs, with low normal liver background uptake. In GPC3+ HCC mouse models, single administrations of RYZ801 significantly inhibited tumor growth. Methods: RYZ801-101 is a single-arm, open-label, phase 1/1b study of RYZ811 and RYZ801 in previously treated patients with GPC3+ unresectable HCC. The study has two parts: dose escalation (part 1) and dose expansion (part 2). Each part consists of two stages: RYZ811 imaging and RYZ801 treatment. The aim of imaging is to determine if RYZ811 safely and adequately identifies patients with GPC3+ tumors. The aim of treatment is to determine the safety, pharmacokinetics (PK), recommended phase 2 dose (RP2D; part 1), and preliminary antitumor activity (part 2) of RYZ801. Key eligibility criteria are: confirmed HCC; Barcelona Clinic Liver Cancer stage B or C; Child-Pugh A; ≥1 RECIST v1.1-measurable lesion (treatment stage); and disease progression after ≥1 systemic therapy in part 1 and 1 prior line in part 2. In part 1, approximately 60 patients will receive RYZ811 (185 MBq) in the imaging stage; up to 30 of these will receive escalating doses of RYZ801 (2.6–5.5 MBq × 4 doses) in the treatment stage. In part 2, approximately 80 patients will receive RYZ811 (185 MBq) in the imaging stage; up to 40 of these will receive RYZ801 at the RP2D in the treatment stage. Primary RYZ811 objectives are to assess the safety/tolerability and biodistribution of RYZ811. Secondary objectives are to determine absorbed doses (ADs) to organs and tissues and any association between RYZ811 uptake and RYZ801 efficacy. Primary RYZ801 objectives are to identify the RP2D and safety/tolerability of RYZ801. Secondary objectives are to assess PK, ADs to critical organs and tumors, and preliminary antitumor activity. Enrollment for Part 1 is ongoing in the USA. Clinical trial information: NCT06726161 .

162 Background: In preclinical studies, the tryptophan-metabolizing enzyme, Indoleamine 2, 3-dioxygenase 1 (IDO1), promotes resistance to radiation in colorectal cancer, and IDO1 inhibition with epacadostat improves tumor radiosensitivity. In a phase 1 trial, patients (pts) with locally advanced rectal cancer (LARC, n=17) were treated with epacadostat in combination with short course radiotherapy (SCRT) and CAPOX which was well-tolerated, and the recommended phase 2 dose (RP2D) of epacadostat was 400mg BID. Here we report efficacy and safety from the NCI-supported phase 2 (NCT03516708) multicenter, open-label trial (treatment cohort). Methods: Pts were treated with standard of care (SOC) SCRT, then SOC neoadjuvant chemotherapy (NAC) followed by SOC surgical resection or non-operative management (NOM). Epacadostat (400 mg BID) started with SCRT and continued until starting NAC (a minimum of 21 days). Eight pts were enrolled prior to discontinuation of epacadostat by Incyte in February/March 2025. The primary endpoint is Neoadjuvant Rectal (NAR) score. In patients who underwent NOM, we calculated MRI-based tumor regression grade (MR-TRG). Secondary endpoints are pathologic complete response (pCR) rate, complete clinical response (cCR) rate, and progression free survival (PFS). Results: Table 1 summarizes baseline characteristics and endpoints (primary and secondary). NOM was pursued in 7/8 (87.5%) pts, surgical resection was performed on 1/8 (12.5%). At median follow-up of 12 months, local tumor regrowth occurred in 1 pt initially treated with NOM (after tumor regrowth, he underwent salvage surgery and is currently on surveillance). Treatment with epacadostat was interrupted in 2/8 (25%) patients due to grade 3 maculopapular skin rash. Most frequent treatment-emergent adverse events (TEAEs) regardless of causality (all grades (G)/G3-4) were bloating (75%/0%), increased ALT (62.5%/0%), increased AST (50%/0%), nausea (50%/0%), and constipation (50%/0%). Grade 3 diarrhea and grade 3 non-cardiac chest pain occurred in 1 patient each (both unrelated to epacadostat). Conclusions: Epacadostat demonstrates promising efficacy and manageable safety in patients with LARC. The biomarker cohort and correlative studies are ongoing. Clinical trial information: NCT03516708 . Baseline characteristics and endpoints. Patient Age Sex Ethnicity Stage Surgery/NOM NAR MR-TRG cCR/pCR Recurrence 1 52 M Caucasian T3N1 NOM NA 2 Y/NA No 2 45 M Caucasian T3N1 NOM NA 3 Y/NA Local tumor regrowth 3 48 M Caucasian T3N2 NOM NA 3 Y/NA No 4 61 M Caucasian T4N2 NOM NA 3 Y/NA No 5 57 M Caucasian T3N0 NOM NA 1 Y/NA No 6 60 F Caucasian T3N1 Surgery 15 3 N/ypT3N0 No 7 67 M Caucasian T4N0 NOM NA 3 Y/NA No 8 51 M Caucasian T4N2 NOM NA P NA No

BACKGROUND High-flow nasal cannula (HFNC) therapy is widely used in infants hospitalized with moderate-to-severe bronchiolitis. Although bronchiolitis severity has been consistently associated with later asthma, it remains unclear whether HFNC contributes additional risk or instead represents a marker of severe illness. We examined the relationship between HFNC use during bronchiolitis hospitalization and the subsequent hazard of asthma diagnosis in early childhood. METHODS We conducted a retrospective cohort study of 4736 children aged younger than 2 years hospitalized with bronchiolitis from 2015 to 2023 across 2 tertiary children’s hospitals. Children were stratified by HFNC exposure. Cox proportional hazards models evaluated the association between HFNC use and subsequent asthma diagnosis. Secondary analyses assessed HFNC duration and frequency. RESULTS Forty-three percent of children received HFNC. Asthma was subsequently diagnosed in 37% of HFNC-treated children and 22% of non-HFNC children (P < .001). After adjustment for demographic and clinical variables, HFNC use was associated with a 40% increased hazard of subsequent asthma diagnosis (hazard ratio, 1.40; 95% CI, 1.24–1.57; P < .001). No dose-response pattern was observed by HFNC duration or frequency. CONCLUSION HFNC use was associated with an increased hazard of subsequent diagnosis of asthma in childhood, likely reflecting underlying disease severity rather than a treatment-related effect. Prospective studies are needed to differentiate severity-related risk from treatment-associated factors to optimize respiratory support strategies for infants with bronchiolitis.

ABSTRACT Obstructive sleep apnea (OSA) is a common, heritable disorder with diverse clinical presentations and etiologies. We conducted a genome-wide association meta-analysis of 492,107 individuals, including 46,028 OSA cases, identifying 14 genome-wide significant loci, eight of which are novel. Analyses adjusting for body mass index (BMI) revealed three loci independent of obesity, implicating alternative biological pathways contributing to disease. Integrative functional analyses, including chromatin interaction mapping, fine-mapping, and eQTL colocalization, prioritized candidate effector genes. Notably, implicated genes in chondrocytes were associated with craniofacial morphology in both mouse and human multivariate genotype-phenotype mapping, supporting a role for craniofacial structure in OSA risk. These findings highlight key genetic pathways (obesity-related, neurological, and craniofacial) underlying the development of OSA, offering new insights into its complex etiology.

Abstract Background Colony stimulating factor 1 receptor–related disorder (CSF1R‐RD) is a rare, rapidly progressive neurodegenerative disease with significant clinical heterogeneity. Apolipoprotein E (ApoE) polymorphism, known to modulate microglial function and influence neurodegeneration, may act as a genetic modifier in CSF1R‐RD. Objectives The objectives were to evaluate the distribution of ApoE alleles in CSF1R‐RD and assess their association with clinical and neuropathological features. Methods ApoE genotyping was performed in 55 individuals with CSF1R‐RD. Clinical data from 25 deceased patients were analyzed based on ApoE genotype. Neuropathological evaluation was conducted on brain tissue from 14 patients, with semiquantitative scoring of white matter pathology and microglial burden. Statistical comparisons were made between carriers and noncarriers of the ApoE4 allele. Results ApoE allele frequencies in CSF1R‐RD mirrored those of the general population (ε2: 7.3%, ε3: 79.1%, ε4: 13.6%). However, ApoE4 carriers exhibited significantly earlier symptom onset (median: 37.9 vs. 50.3 years, p = 0.0123) and death (median: 41.1 vs. 55.2 years, p = 0.0072). Neuropathological analysis revealed more severe white matter involvement and reduced microglial preservation in ApoE4 carriers ( p = 0.034). Conclusions Although ApoE allele distribution does not differ from the general population, the presence of the ApoE4 allele may influence the clinical trajectory and white matter pathology in CSF1R‐RD. These findings suggest that ApoE polymorphism is a potential modifier of disease course and should be considered in therapeutic planning and future research. © 2026 International Parkinson and Movement Disorder Society.

Background: One in five Americans turn to TikTok before calling their own physician. Objective: With social media on the rise as a source of health-related information, we aimed to investigate and evaluate popular content about mast cell activation syndrome (MCAS) on TikTok. Methods: Between June 14 and 16, 2024, four different MCAS-relevant phrases were searched on TikTok, and the top 50 most watched videos were analyzed independently by three subinvestigators. The global quality score (GQS) (range from 1 to 5) was applied to assess the value of the educational videos. The profession of the content creator, use of MCAS Vienna diagnostic criteria, association with postural orthostatic syndrome (POTS)/Ehlers Danlos syndrome (EDS), and information trends were also analyzed. Results: The 50 most watched MCAS-related videos collectively had > 6.5 million views, and the average number of views per video was 131,500. Most videos were created by health-care professionals (58%), including physicians (26%) and other health-care professionals (32%), whereas the minority were created by non‐health-care professionals (42%). Only one video included the MCAS Vienna criteria (2%), and 12 videos associated MCAS with POTS and/or EDS (24%). The average GQS was 1.94 (SD 0.34). Common MCAS misinformation trends included the following: inaccuracy of symptoms, diagnostic criteria, triggers, and treatment options. Conclusion: Most MCAS videos on TikTok contained misinformation, did not include key diagnostic criteria, and had poor GQS. The most viewed videos were primarily created by health-care professionals. Patients and health-care providers need to be aware of the quality of health-care information on social media.

Abstract Background Neuroimaging data typically arrives as Digital Imaging and Communications in Medicine (DICOM) files, batched by exam. We use exam or study to denote a single imaging session of a participant, containing up to ∼40 series (the generic term for scans and derived products). Different series have different properties and applications, making their labeling complex. Filenames often change in transit, and Series Description tags (0008, 103E) are arbitrary, operator‐entered, and unreliably coupled to the series type. Furthermore, label preferences vary from site to site, making the application of a common classification system mandatory for multisite studies. Here we describe the system that we have developed and applied to the Alzheimer's Disease Neuroimaging Initiative (ADNI) and SCAN. Method Although Series Description is unreliable, DICOM includes other tags that parameterize MR pulse sequences and suggest their purpose. The mapping from these features to types is difficult to explicitly specify, especially since different manufacturers and protocols use different conventions. Thus we developed a machine learning classifier using 4060 semiautomatically labeled head and spinal series from 1.5 to 7T MR scanners, including both site‐specific and standard protocols designed to study a wide range of neurological conditions, including dementia, hydrocephalus, and multiple sclerosis. An 80%/20% split, stratified by type, was used for the training/test sets. After initial training, a few cases in the training set with high errors due to rarity were augmented and the model retrained. Performance was evaluated on the clean test set. Result The taxonomy is presented in Table 1. The classifier correctly identified 807 out of 812 (99.4%) series, with the error cases coming from outside the ADNI or SCAN protocols (Table 2). The confusion matrix is shown in Figure 1. Conclusion We implemented an automatic series type classifier with labels chosen to be generally useful for the brain MRI community. Some errors were noted, but the test set was deliberately challenging and the errors appear to be ones that could easily be made by a human. The classifier is expected to have good tolerance for as yet unseen head MR protocols but is likely unsatisfactory for body MRI.

Abstract Background The Overlap Index (OI) as previously published (Lee et al., 2022) is a reliable method for detecting tau accumulation using tau‐PET imaging (flortaucipir; AV1451). It identifies voxel‐wise standardized uptake value ratio (SUVr) elevations across serial scans. Although OI showed more sensitivity to tau signal elevation and longitudinal change than standard ROI measures, to our knowledge, the relationship of the tau PET overlap index to neuropathologic findings is still unclear. This study aims to investigate the potential of OI to detect NFTs of the neuropathologic Braak tangle stage, especially the early Braak tangle stage (I–IV). Method This study included 57 participants from the Mayo Clinic Study of Aging or Mayo Alzheimer's Disease Research Center, all of whom underwent autopsy and at least two serial AV1451 tau‐PET scans and 3T T1‐weighted MRI within an average of 16 months. Tau‐PET SUVr images were normalized to cerebellar crus grey matter, and MR images were co‐registered to a single‐subject MRI mean. Tau‐PET scans were resampled into MRI space, and OI was calculated by applying intensity thresholds 1.3. Clusters with fewer than 20 contiguous voxels were excluded. An OI cutoff of 0.5 was used and an SUVr cutoff of 1.29. Postmortem immunohistochemistry (IHC) using phospho‐tau antibodies (AT8, PHF‐1) was performed on the amygdala, temporal cortex (middle and superior), and anterior/posterior hippocampus. Neuropathological Braak staging was determined based on AT8‐stained sections. We conducted visual comparison of tau‐PET overlap signal in these regions with IHC‐confirmed tau pathology across Braak tangle stages. Result OI‐detected voxels corresponded to NFT distribution across Braak stages. In early Braak stages, standard SUVr‐based META‐ROI values remained negative, whereas OI showed positive signals, indicating greater sensitivity to early tau pathology (Figure 1). The spatial distribution of OI‐derived overlap regions aligned with high NFT burden, suggesting that OI captures early‐stage tau pathology more effectively than conventional SUVr methods. Conclusion OI in serial tau‐PET imaging demonstrated better detection of early‐stage tau pathology than standard ROI‐based SUVr measures. The alignment between OI‐detected voxels and neuropathological tau burden supports its potential as an in vivo biomarker for detecting early neurofibrillary tangles.

Abstract Background The Joint Propagation Model (JPM)‐based CenTauR scale was recently introduced to harmonize tau‐PET quantification across different radiotracers. This study examined how CenTauR harmonization enhances the comparability of tau‐PET quantification across matched cohorts using different tracers. The evaluation focused on three key aspects: (1) comparing tau‐PET positivity rates as defined by CenTauR, (2) evaluating its diagnostic accuracy for symptomatic AD, and (3) analyzing longitudinal changes in tau‐PET rates over time. Method The JPM, developed by the CPAD‐led Tau PET Harmonization Working Group (Leuzy et al., Alzheimers Dement. 2024; Figure 1A), models relationships between anchor point subjects and head‐to‐head tau‐PET SUVR data onto the CenTauR scale, providing conversion equations for multiple tracers. JPM equations were applied to [ 18 F]flortaucipir SUVR (Meta‐temporal ROI) data from 561 cognitively impaired participants in the ADNI and OASIS‐3 studies. Using ROC analysis, we determined the CenTauR cut‐off for positivity (T+) that maximized the Youden index for discriminating between FDA‐approved positive/negative visual reads. Three separate cohorts, scanned using [ 18 F]flortaucipir (ADNI), [ 18 F]MK‐6240 (CPAS), and [ 18 F]RO‐948 (BioFINDER‐2), were matched 1:1 by age, MMSE, amyloid‐β, and clinical diagnosis. CenTauR‐based metrics were compared across these cohorts. Result A cut‐off of 18 CenTauRs was found to optimally classify [ 18 F]flortaucipir PET visual reads (Figure 1B). The matching procedure identified 1089 participants (363 per cohort). The frequency of T+ using the 18 CenTauRs cut‐off for the Meta‐Temporal ROI was highly comparable across tracers across groups, except for the Aβ‐positive cognitively unimpaired group, where variability was more pronounced due to a smaller sample size (Figure 2A). Similarly, tau‐PET discriminative accuracy for symptomatic AD vs controls remained similar across [ 18 F]flortaucipir and [ 18 F]MK‐6240 (Figure 2B). In a separate sample of 212 matched participants from ADNI ([ 18 F]flortaucipir) and AIBL ([ 18 F]MK‐6240) with baseline and 1‐year follow‐up tau‐PET scans, 1‐year change in CenTauRs was comparable (Figure 2C). An exploratory voxelwise transformation, utilizing the Meta‐Temporal conversion equation in a representative case scanned with both [ 18 F]flortaucipir and [ 18 F]MK‐6240, demonstrates the potential for voxelwise CenTauR harmonization (Figure 3). Conclusion These analyses suggest that CenTauR harmonization increases the comparability of tau‐PET data acquired with different tracers. Additional validation analyses with larger cohorts including other radiotracers ([ 18 F]PI‐2620) are underway.