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Background Light chain (AL) amyloidosis is a rare disease caused by the misfolding of immunoglobulin light chains produced by a plasma cell dyscrasia. Patients can present with involvement of many organs, including the heart, kidneys, liver, nerves, and other sites, resulting in a high symptom burden. Timely and accurate diagnosis is important to prevent organ failure and improve patient survival. Objective These evidence-based guidelines of the American Society of Hematology (ASH) are intended to support patients and clinicians in the timely and effective diagnosis of AL amyloidosis. Methods ASH formed a multidisciplinary guideline panel that included 22 individuals representing various medical specialties (academic and community hematology, nephrology, neurology, cardiology, internal medicine, and pathology) as well as 1 patient representative. The group was balanced to minimize potential bias from conflicts of interest. The University of Kansas Medical Center supported the guideline development process, including updating or performing systematic evidence reviews (up to 6 March 2023). The panel prioritized clinical questions and outcomes according to their importance for clinicians and patients. The panel used the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach, including GRADE evidence-to-decision frameworks, to assess evidence and make recommendations, which were subject to public comment. Results The panel agreed on 12 recommendations. Conclusions The use of serum immunofixation, urine immunofixation, and serum free light chains enhances the clinical suspicion of AL amyloidosis. The diagnosis of AL amyloidosis can be made effectively through surrogate biopsies, which require both a bone marrow biopsy and fat-pad sampling; however, target organ biopsies may be favored in certain clinical situations.

Abstract Early-onset Alzheimer’s disease (EOAD) and Late-onset AD (LOAD) differ in clinical presentations and rates of progression. We aimed to compare baseline and longitudinal tau PET burden, and their relationship with clinical variables in amyloid-PET positive, cognitively impaired participants from the Longitudinal Early-Onset Alzheimer’s Disease Study (EOAD; n=390) and Alzheimer’s Disease Neuroimaging Initiative (LOAD; n=211). Patients with EOAD showed higher baseline tau PET retention, broader neuroanatomical involvement and faster accumulation rates over time compared to LOAD, after adjusting for amyloid load and clinical stage. Tau PET showed stronger correlations with baseline amyloid burden and clinical measures of global cognition and function in EOAD than LOAD. We conclude that earlier age of onset in AD is linked to a more aggressive tauopathy, which in turn is a primary driver of clinical decline. These findings suggest that optimal therapeutic targets and strategies may differ between EOAD and LOAD. One Sentence Summary Younger patients with Alzheimer’s disease show more aggressive tau spread, suggesting age of onset defines distinct disease pathways with key clinical implications.

PURPOSE Hot flashes are a common side effect reported by men receiving androgen-deprivation therapy (ADT) for the treatment of prostate cancer. We sought to determine whether oxybutynin could improve hot flash symptoms in men with prostate cancer. PATIENTS AND METHODS Patients with prostate cancer receiving a stable regimen of ADT with at least 28 hot flashes per week were randomly assigned to receive either oxybutynin 2.5 mg twice daily, oxybutynin 5 mg twice daily, or matching placebo for 6 weeks. The primary end point was the change in patient-reported hot flash scores since baseline at 6 weeks. Additional outcomes included incidence of adverse events (AEs), changes since baseline in Hot Flash–Related Daily Interference Scale (HFRDIS) scores, and patient-reported symptoms. RESULTS Eighty-eight patients were enrolled, with the 81 participants eligible for final analysis reporting an average of 10.1 (standard deviation [SD], 5.55) hot flashes per day and an average daily hot flash score of 18.2 (SD, 13.5) included in final analysis. On average, patients on the placebo arm, 2.5 mg oxybutynin arm, and 5 mg oxybutynin arm had reductions in hot flashes/day of 2.15, 4.77 ( P = .02), and 6.89 ( P < .001), respectively. Daily hot flash scores for placebo, 2.5 mg oxybutynin, and 5 mg oxybutynin reduced by an average of 4.85, 9.94 ( P = .07), and 13.95 ( P = .002) points, respectively. No treatment-related grade 3+ AEs occurred. HFRDIS total scores improved by 14.2 and 20.7 points in the 2.5 mg ( P = .042) and 5 mg ( P < .01) oxybutynin arms, respectively, compared with a 3.1-point improvement with placebo. CONCLUSION Oxybutynin is superior to a placebo for the management of ADT-associated hot flashes in men with prostate cancer.

Abstract INTRODUCTION The genetic basis of sporadic early‐onset Alzheimer's disease (EOAD) remains largely unknown, prompting evaluation of late‐onset Alzheimer's disease (LOAD) polygenic risk in EOAD. METHODS A LOAD polygenic score (PGS) was calculated in the Longitudinal Early‐onset Alzheimer's Disease Study (LEADS) and Alzheimer's Disease Neuroimaging Initiative (ADNI) study and tested for associations with AD risk, cognitive performance, and imaging and fluid biomarkers. RESULTS Though PGS was elevated in LOAD and EOAD, it was not a significant predictor of EOAD adjusting for APOE ε4 carrier status and was not associated with age of EOAD onset ( p = 0.106) or with cognitive performance ( p = 0.417). In LEADS, greater LOAD PGS was associated with differences in neuroimaging and fluid biomarkers, including elevated synaptosomal‐associated protein 25 (SNAP‐25) ( p = 2.3 × 10 −5 ). DISCUSSION While LOAD polygenic risk contributed minimally to EOAD onset and cognitive dysfunction, PGS association with fluid biomarkers in LEADS suggests a role for LOAD polygenic risk in EOAD pathophysiology. Highlights LOAD PGSs were elevated in both LOAD and EOAD compared to controls; however, LOAD PGS did not significantly predict EOAD risk, age at onset, or cognitive performance independent of APOE ε4 in the LEADS. Higher LOAD PGS was associated with lower amyloid PET Centiloids (less brain amyloid deposition) as well as lower CSF biomarker Aβ42 in LEADS (proxy marker suggesting higher brain amyloid deposition) in LEADS; these contradictory findings support the need for larger studies to further investigate whether LOAD PGS is associated with increased amyloid deposition in EOAD. Higher LOAD PGS was also associated with higher levels of CSF synaptosomal‐associated protein 25 (SNAP‐25), a key component of the SNARE complex, suggesting that LOAD genetic factors may contribute to dysregulation of synaptic transmission and/or pathological protein aggregation in EOAD.

BACKGROUND AND OBJECTIVES: Unruptured intracranial aneurysms (UIAs) are increasingly detected and require careful management to prevent rupture. No externally validated score currently predicts procedural risk to guide treatment decisions. We developed and validated 2 predictive scores for complications after endovascular treatment (EVT) or neurosurgical treatment (NT) of UIA using routinely collected clinical and aneurysmal features. METHODS: We conducted a multicenter retrospective study including patients with UIA treated with EVT or NT across 15 neurovascular centers (2014-2024). Predictive models were built using multivariable logistic regression, with variables derived from Delphi consensus. The primary outcome was a composite safety end point: new neurological deficits, modified Rankin Scale (mRS) worsening (≥1 point or mRS 2-5 within 30 days), or procedural death. Internal validation used bootstrapping, and external validation was performed temporally and institutionally. Model performance was assessed using area under the receiver operating characteristic curve (AUROC) and calibration. Final scores, named Morbidity and Mortality Associated Risk in the Treatment of UIAs (MARTA)-EVT and MARTA-NT, were compared with existing models identified through systematic review. RESULTS: Among 2647 patients (1907 EVT and 740 NT), procedural complications occurred in 6.3% (EVT) and 12.8% (NT). Independent predictors included age, baseline mRS, aneurysm location, size, morphology, and procedural factors. MARTA-EVT (AUROC = 0.68, 95% CI = 0.57-0.78) and MARTA-NT (AUROC = 0.65, 95% CI = 0.54-0.77) showed moderate discrimination and good calibration. MARTA-EVT outperformed existing models; MARTA-NT performed similarly to SAFETEA. Predictive models are available open-source: https://martascoreapp.shinyapps.io/martascoreapp/. CONCLUSION: MARTA-EVT and MARTA-NT are validated tools for predicting procedural risks in UIA treatment and may support patient counseling and clinical decision making.

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 .

210 Background: ERBB2/HER2 amplification defines a rare but clinically distinct subtype of colorectal cancer (CRC), associated with favorable responses to HER2-targeted therapies. In contrast, ERBB2/HER2 -mutant CRCs show limited therapeutic benefit, and their clinical and molecular features remain poorly defined. This study investigated the molecular and clinical features of ERBB2/HER2 -mutant CRCs to provide insight into the molecular basis of their differential therapeutic vulnerabilities compared to amplified CRC. Methods: CRC cases were identified from cBioPortal studies with available clinical and ERBB2/HER2 genomic data. After quality control and deduplication, the cohort included 4407 unique cases: 97 with driver mutation(s) only (2.2%), 86 with amplification only (2%), and 4224 wild-type (95.9%). Demographic, clinical, and molecular features, including microsatellite instability (MSI), tumor mutational burden (TMB), and alterations in 94 oncogenic pathway genes, were compared across groups. Statistical analyses used chi-square/Fisher’s exact tests for categorical data, Kruskal-Wallis tests for continuous variables, and the Benjamini-Hochberg correction for multiple comparisons. Odds ratios and FDR-adjusted p-values were calculated to assess associations. Results: Across groups, the distributions of gender, race, and primary cancer site (colon or rectal cancer) were comparable. However, significant differences were observed in age (mean 58.7 ± 15.0 years for ERBB2/HER2 -mutant, 55 ± 13.9 for amplified, and 59 ± 14.8 for wild-type; p = 0.035) and tumor sidedness (among ERBB2/HER2 -mutant cases: right-colon 30.8%, left-colon 15.2%; among ERBB2/HER2 -amplified: right-colon 12.1%, left-colon 37.9%, p = 0.011). KRAS alterations were significantly more common in ERBB2/HER2 -mutant CRCs (50.5%) compared with both amplified (19.8%) and wild-type (37.6%). MSI-H was detected in 34.5% of ERBB2/HER2 -mutant cases, whereas no MSI-H was observed among amplified tumors (p < 0.001). Expectedly, ERBB2/HER2 -mutant tumors exhibited a hypermutated phenotype, with significantly higher TMB (30.3 ± 45.5) and total mutation count (232.8 ± 926.0), compared to amplified (6.1 ± 9.7 and 15.3 ± 28.4) and wild-type (10.5 ± 20.3 and 126.3 ± 424.5; both p < 0.001). Conversely, ERBB2/HER2 -amplified tumors had the highest fraction of overall genomic alterations including chromosomal changes (0.24 ± 0.17 in amplified vs 0.14 ± 0.17 in mutants and 0.20 ± 0.16 in wild-type; p < 0.001). Hierarchical clustering demonstrated that ERBB2/HER2 -mutant tumors form a distinct molecular cluster, whereas amplified tumors cluster closely with wild-type CRC. Conclusions: ERBB2/HER2 - mutant and amplified CRCs show highly distinct genomic and clinical features, supporting the need for tailored treatment approaches.

Abstract Background Tau‐PET tracers are essential for visualizing pathology in Alzheimer's (AD). High detectability to tau is crucial for early detection and monitoring of tau deposition. This study compares the noise to dynamic range ratio (NRR) of [ 18 F]FTP, [ 18 F]MK6240, [ 18 F]PI2620, and [ 18 F]RO948, cross‐sectionally and longitudinally. Methods 460 individuals from the HEAD study (23 cognitively unimpaired (CU) young, 249 CU old and 188 cognitively impaired) underwent [ 18 F]FTP and [ 18 F]MK6240 tau‐PET scans; 94 additionally received [ 18 F]PI2620 and [ 18 F]RO948. A subset of 28 individuals (15 CU and 13 CI) underwent [ 18 F]FTP and [ 18 F]MK6240 follow‐up scans (1.5 ± 0.1 years later). Annual change was measured as [(followup‐baseline)/time between scans]. Noise was calculated as the standard deviation (SD) of CU Aβ‐ participants aged ≤65 (SD CUAβ‐≤65 ). The dynamic range was calculated as the SD across all subjects (SD range ). A lower the NRR (=SD CUAβ‐≤65 /SD range ) indicates more detectability. Analyses were performed at both region‐of‐interest and voxel‐wise levels. Results Across the whole cohort, [ 18 F]MK6240 exhibited lower NRR than [ 18 F]FTP in all regions. Voxel‐wise, differences were most pronounced in the frontal medial temporal regions (Figure 1). Within the four‐tracers subset, [ 18 F]PI2620 and [ 18 F]FTP showed the highest NRR in Braak II, followed by [ 18 F]RO948 and [ 18 F]MK6240. In Braak IV‐VI, [ 18 F]MK6240 consistently demonstrated the lowest values, followed by [ 18 F]PI2620, [ 18 F]FTP and [ 18 F]RO948. Similarly, in metatemporal‐ROI and Braak III, [ 18 F]MK6240 remained the lowest, however followed by [ 18 F]FTP, [ 18 F]PI2620 and [ 18 F]RO948 (Figure 2). Lower [ 18 F]MK6240 NRR was due to larger SD range , while [ 18 F]FTP's lower values stemmed from smaller SD CUAβ‐≤65 . Conversely, high [ 18 F]PI2620 and [ 18 F]RO948 values are driven by larger SD CUAβ‐≤65 . Longitudinal analyses further confirmed that [ 18 F]MK6240 exhibited the lowest NRR across the entire brain, including AD‐related regions, with voxel‐wise differences mainly in the temporal and parietal lobes. Conclusion Tau‐PET tracers exhibit significant variability in detectability. [ 18 F]MK6240 consistently demonstrated lower NRR, implying better detectability across all regions, cross‐sectionally and longitudinally. Despite differences in NRR, [ 18 F]FTP, [ 18 F]RO948 and [ 18 F]PI2620 followed similar pattern. These results provide insights into the differential tracer detectability, helping guide their optimal use in detecting and tracking tau pathology. Ongoing follow‐up scans will further clarify longitudinal tracer detectability and its implications for tau progression in AD.

Abstract Background Ten years after the original publication, the Centiloid framework is now broadly used to harmonize amyloid‐PET quantification, facilitate data sharing and comparison across cohorts, and even assist visual interpretation in clinical settings. We evaluated the global implementation of Centiloids by comparing their distribution and corresponding positivity thresholds across cohorts. Methods We gathered data from publicly available cohorts and reached out to investigators across the world to collect cross‐sectional Centiloids, demographic and clinical information, and visual read data. Gaussian mixture models (GMM, k=2) were fitted to Centiloid values for each cohort and cutoffs were calculated as mean + 2SD of the lower Gaussian. When visual reads were available, we determined Centiloid cutoffs that maximized correspondence with visual reads (Cohen's kappa). Data was combined across cohorts using random effects meta‐analyses. Results As of January 2025, we included 37 cohorts ( n = 41,678 participants) with heterogeneous pipelines, radiotracers, and clinical and demographic characteristics (Table‐1). The low Gaussian peaks ranged from ‐9 to 10CL; the meta‐analysis identified a common peak at 1CL. The second peaks were more heterogeneous (range=38‐102CL; meta‐analysis outcome=64CL). Across cohorts, the proportion of cognitively unimpaired versus impaired participants impacted the position of both peaks, with better separation in cohorts enriched in impaired individuals (Figure 1C). The meta‐analysis indicated a GMM‐based cutoff of 19CL (95%CI: 16‐21CL, Figure 1B); subgroup analyses showed no evidence of significant effect between single versus multicenter settings (17 versus 20CL, p = 0.30), MRI‐based or PET‐only processing (18 versus 19CL, p = 0.88), and no evidence of difference across radiotracers (Flutemetamol: 16CL; PIB: 17CL, Flutafuranol: 18CL, Florbetaben: 19CL, Florbetapir: 20CL, p = 0.78). In a subset of 29,496 participants with visual reads available, binary visual reads corresponded well to Centiloids (common kappa=0.86, Figure 2A). The visual read‐based cutoff of 24CL (95%CI: 21‐27CL, Figure 2B) maximized correspondence between visual read and quantification and was slightly higher than the GMM‐based cutoff. All meta‐analysis models showed high non‐random heterogeneity (I 2 >80%) across studies, suggesting non‐random differences in peaks and cutoffs. Conclusions Meta‐analysis‐based cutoffs align well with thresholds from the existing literature. High heterogeneity among studies underscores the need to investigate contributing factors, raising concerns about applying common cutoffs.

Abstract INTRODUCTION We standardized positron emission tomography (PET) data across multiple cohorts and tracers to characterize the frequency of amyloid and tau PET severity along the clinical continuum. METHODS Clinical stage was defined using cohort‐specific criteria and included cognitively unimpaired (CU), mild cognitive impairment (MCI), and dementia. Amyloid severity was staged using Centiloids (CL). Tau severity was staged using a hierarchical Braak‐based schema. The cumulative probabilities of PET‐based stages were estimated using ordinal logistic regressions. RESULTS Among 10,396 individuals (mean [standard deviation] age: 71.9 [7.1] years), amyloid levels ≥ 25 CL increased with age among CU and MCI, while amyloid levels ≥ 100 CL were most common in dementia. In 3295 with tau PET, tau severity increased with amyloid and clinical stage and showed complex associations with age. Within each clinical stage, the full spectrum of amyloid and tau PET severity was observed. DISCUSSION PET‐based staging revealed heterogeneous amyloid and tau burden along the clinical continuum. Highlights PET‐based staging is feasible across multiple cohorts and PET tracers. There is heterogeneity in amyloid and tau severity across the clinical spectrum. The frequency of amyloid and tau PET severity increased with clinical severity. The likelihood of tau PET severity differed by age, amyloid, and clinical severity.