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PURPOSE In immunoglobulin light chain (AL) amyloidosis, amyloid fibrils cause organ dysfunction. Anselamimab, a monoclonal antibody, selectively binds to amyloid fibrils, accelerating their clearance. METHODS Newly diagnosed patients with European modification of Mayo 2004 stage IIIa or IIIb AL amyloidosis were randomly assigned to receive anselamimab or placebo with cyclophosphamide, bortezomib, and dexamethasone (with or without daratumumab). The primary end point was a hierarchical composite of time to all-cause mortality (ACM) and frequency of cardiovascular hospitalizations (CVHs), analyzed using the Finkelstein-Schoenfeld test and win ratio estimation. RESULTS Among 406 randomly assigned patients, the primary end point win ratio for anselamimab versus placebo was 1.11 (95% CI, 0.83, 1.50; P = .332) and the hazard ratio (HR) for ACM was 0.80 (95% CI, 0.57, 1.13; P = .290). CVH rates in the anselamimab and placebo groups were 0.59 (95% CI, 0.42, 0.83) and 0.89 (95% CI, 0.55, 1.43), respectively ( P = .145). Among patients with kappa isotype (n = 72), the win ratio was 2.06 (95% CI, 0.98, 4.31; P = .100) and anselamimab reduced ACM by 62% versus placebo (HR, 0.38; 95% CI, 0.17 to 0.86; nominal P = .012), and CVH by 71% (IRR, 0.29; 95% CI, 0.10 to 0.87; nominal P = .028) with improvements in Kansas City Cardiomyopathy Questionnaire-Overall Score. There was no clinical benefit observed in the lambda population. Anselamimab was generally well-tolerated; safety data were comparable between treatment arms overall. CONCLUSION Treatment with anselamimab, an antifibril antibody used alongside antiplasma cell dyscrasia therapy, while not meeting the primary end point in the overall population, significantly improved ACM and CVH in patients with kappa AL, potentially offering a new therapeutic option for this isotype.

Background: Colorectal cancer (CRC) remains one of the common causes of cancer-related morbidity and mortality in the United States. Emerging increases in early-onset CRC and persistent disparities remain major public health concerns. Objective: To characterize long-term CRC incidence and mortality trends in the United States, with particular emphasis on identifying demographic groups experiencing rising or plateauing disease burden. Methods: We conducted a population-based ecological study using CRC incidence data from the United States Cancer Statistics database (1999–2022) and mortality data from CDC WONDER (1999–2023). Temporal trends were evaluated using Joinpoint regression to estimate annual percent change (APC) and average annual percent change (AAPC), stratified by age, sex, race/ethnicity, and urbanization level. Results: Overall CRC incidence and mortality declined during the study period (both AAPC approximately −2.08%). However, incidence increased significantly among adults younger than 55 years, particularly those aged 20–24 years. Mortality also increased among younger adults aged 25–44 years and remained elevated among individuals aged 45–54 years. Non-Hispanic Black individuals consistently experienced the highest incidence and mortality rates. Mortality declines plateaued in several older age groups after 2018–2020. Conclusions: Despite overall improvements in CRC burden, increasing incidence and mortality among younger adults and persistent disparities highlight the need for risk-stratified prevention, earlier detection strategies, and tailored therapeutic approaches.

Introduction Recent transcriptome analysis has demonstrated increased expression of Vascular Endothelial Growth Factor receptor-1 (VEGFR-1/FLT1) and in AD brain. Increased expression of VEGFR1 and its ligand VEGFB were associated with a more rapid rate of cognitive decline, providing evidence of a potential link between increased VEGFR-1 expression in AD pathogenesis. In this study, we explored the potential role of VEGFR-1 expression in neurons on AD pathology. Methods To confirm VEGFR1 expression in AD brains, we first performed immunostaining in AD brain sections (AD - Braak stage V-VI, and normal controls - Braak 0-II). And to determine a potential detrimental role of neuronal VEGFR1 expression on AD associated pathologies, we exposed SH-SY5Y human neuroblastoma cells and mouse primary neurons to either hypoxia conditions (1%O 2 ) or 5 μ Aβ1-42 oligomers or fibrils for 24, 28 and 72hrs. Results In this study, we found preferential staining of VEGFR-1 in the neuropil and neuronal cell bodies both in AD and Control hippocampus and increased VEGFR-1 immunoreactivity in dystrophic neuritic processes in the vicinity of Thio-S positive amyloid plaques in AD brains. And treatment of SH-SY5Y human neuroblastoma cell line and mouse primary neurons, with either hypoxia conditions or Aβ1-42 oligomers, resulted in increased VEGFR-1 expression and cleaved caspase 3 activation, leading to neuronal toxicities/cell death. Similarly, treatment with Aβ1-42 fibrils also increased VEGFR-1 and cleaved caspase 3 protein levels in the SH-SY5Y cells whereas treatment with Aβ1-42 monomers had no effect on VEGFR-1 expression. In addition, we show that over-expression of VEGFR-1 intracellular domains in SH-SY5Y cells directly induced neuronal toxicities and importantly, siRNA-mediated knockdown of VEGFR-1 in neurons prevented the hypoxia, Aβ1-42 oligomer and Aβ1-42 fibril-induced toxicities and cell death phenotypes. Treatment with either hypoxia or Aβ1-42 oligomers also reduced expression of cell survival genes including VEGFR-2 and Hippo pathway YAP1 and siRNA-mediated VEGFR-1 knockdown in the neurons normalized expression of both VEGFR-2 and YAP1. Using differential gene expression analysis, we demonstrated upregulation of several inflammatory/interferon-stimulated genes (ISGs) as well as increased expression of genes involved in activation of oxidative stress and cell death pathways in response to Aβ1-42 oligomers treatment in mouse primary neurons. And siRNA-mediated VEGFR-1 knockdown in the mouse primary neurons, reduced gene expression of both the ISGs and oxidative stress/cell death pathways in response to Aβ1-42 oligomer treatment. Discussion In summary, these results show that siRNA-mediated knockdown of VEGFR-1 in neurons significantly prevented hypoxia, Aβ1-42 oligomer and Aβ1-42 fibril-induced cellular toxicities and cell death phenotypes, indicating a potential detrimental role of aberrant VEGFR-1 expression and signaling in response to AD associated pathologies.

TPS649 Background: While advancements in early-stage breast cancer (ESBC) treatment have improved survival, disease recurrence and therapeutic resistance remain significant challenges. Current biomarkers guide initial treatment, yet novel diagnostics are required to improve risk stratification and recurrence prediction. Circulating tumor DNA (ctDNA) offers a non-invasive method for detecting minimal residual disease (MRD), potentially enabling the identification of molecular relapse before radiographic progression. However, deeper validation of ctDNA kinetics across the treatment continuum is needed to inform precision oncology strategies in ESBC. Additionally, the logistical complexity of tissue-dependent assays presents a barrier to scalability. In order to address these gaps, the purpose of the GEMINI-BREAST study is to evaluate a methylation-based, tissue-free ctDNA assay (Tempus xM) and integrate this with comprehensive clinical and multi-omic data to determine prognostic utility for invasive disease-free survival (iDFS) and long term outcomes in patients with ESBC. Methods: GEMINI-BREAST (NCT07211178) is a prospective, non-interventional, multi-center study enrolling up to 900 participants with ESBC treated with curative intent. Eligible patients enroll into one of three analytical cohorts (n ~ 300 each): Cohort 1 enrolls pre-neoadjuvant therapy (high-risk HR+/HER2- [Stage II-III], HER2+ [Stage II-III], or TNBC [Stage I-III]); Cohort 2 enrolls post-surgery/pre-adjuvant therapy (same subtypes, no evidence of disease); and Cohort 3 enrolls long-term survivors (high-risk HR+/HER2- [Stage II-III], ≥ 5 years since diagnosis). Longitudinal blood samples for ctDNA analysis and archival tissue for NGS are collected at standard-of-care intervals, including, as applicable: pre-neoadjuvant, neoadjuvant on-treatment (weeks 3, 6, 12) and post-treatment, post-surgical/pre-adjuvant, adjuvant on-treatment (every 3 months), end of definitive therapy, surveillance for up to 5 years (every 3-6 months for Cohorts 1/2; every 6-12 months for Cohort 3), and at progression/recurrence. The primary objective is to evaluate the association between ctDNA dynamics (Cohort 1) or MRD status (Cohort 2/3) and iDFS, with secondary endpoints assessing overall survival, lead time to recurrence, and the predictive value of ctDNA clearance for pathological complete response. Recruitment is currently ongoing at U.S. sites. Clinical trial information: NCT07211178 .

e16510 Background: Early-onset RCC may reflect distinct biology and hereditary predisposition, yet data on stage-specific clinical features and outcomes remain limited. We comprehensively evaluated age-stratified, stage-specific clinical features and survival outcomes using the National Cancer Database. Methods: Adults with histologically confirmed RCC diagnosed between 2004 and 2022 were analyzed. Patients were categorized into three groups by age at diagnosis: early-onset ( < 40 years), middle-aged (40–50 years), and late-onset ( > = 50 years). The sociodemographic and clinical characteristics, comorbidities, histology, and treatment patterns were compared using descriptive statistics. Overall survival (OS) was evaluated using Cox proportional hazards models, adjusting for the aforementioned variables. Stage-specific analyses were conducted, including a metastatic disease cohort. Results: Among 742,114 patients, 4.3% were classified as early-onset, 10.9% as middle-aged, and 84.8% as late-onset. Overall, 12.6% presented with metastatic disease. Compared with late-onset, early-onset patients were more likely to be from racial minority populations (non-White: 16.9 % vs. 20.2 % in late-onset), uninsured, and had fewer comorbidities (Charlson–Deyo score 0: 85.2% vs. 65.2%). Early-onset RCC was characterized by a lower proportion of papillary RCC (8.9% vs. 12.5%) and higher proportions of clear cell (54.9% vs. 50.8%) and chromophobe RCC (9.3% vs. 4.5%) than late-onset RCC and more likely to undergo partial nephrectomy (50.4% vs. 30.2%). They also presented with earlier-stage disease, with lower rates of stage III (7.4% vs. 10.2% vs. 13.4%) and stage IV disease (5.4% vs. 8.9% vs. 13.5%) compared with middle-aged and late-onset groups. Among patients with metastatic disease, early-onset RCC demonstrated higher minority representation (30.8% vs. 14.1%) and a higher prevalence of non-clear cell histology (70.6% vs. 58.1%). In multivariable analysis, compared with early-onset RCC, middle-aged (HR 1.44, 95% CI 1.39–1.50; P < 0.001) and late-onset patients (HR 2.83, 95% CI 2.74–2.93; P < 0.001) experienced significantly worse OS. However, among metastatic disease, this survival advantage was attenuated. Early-onset patients had similar OS to middle-aged patients (HR 0.99, 95% CI 0.93–1.05, p = 0.69) and late-onset patients only had a modestly worse OS than the early-onset group (HR 1.09, 95% CI 1.03–1.15 p = 0.003). Conclusions: Early-onset RCC was associated with more favorable baseline characteristics, earlier stage at diagnosis, and higher utilization of nephron-sparing nephrectomy, corresponding to improved OS. However, this survival advantage diminishes in metastatic disease despite better baseline health, highlighting stage-dependent differences in outcomes and suggesting distinct histologic patterns in advanced early-onset RCC.

e16017 Background: Pancreatic ductal adenocarcinoma (PDAC) is the most common form of pancreatic cancer and remains one of the deadliest malignancies worldwide, largely due to late-stage diagnosis. Early-stage PDAC is frequently asymptomatic, limiting opportunities for timely detection and intervention. We aimed to develop prognostic models using routinely acquired pre-diagnostic clinical data to identify individuals at high risk for PDAC prior to clinical manifestation. Methods: We conducted a retrospective study of patients treated at Mayo Clinic sites in Rochester, MN; Phoenix, AZ; and Jacksonville, FL between January 2011 and February 2023. The cohort included 1,151 patients with PDAC and 3,745 noncancer controls. CT scans were standardized to axial abdominal acquisitions with slice thickness between 0.8–3.0 mm. Radiology reports were de-identified, normalized, and parsed into structured sections (Indications, Findings, Impression), with an additional pancreas-specific section aggregating pancreas-related sentences. Demographic and clinical variables, e.g., age, sex, race, etc., were encoded using a templated sentence representation. All textual inputs were embedded using a Sentence-BERT model. A multimodal deep learning survival model was developed to integrate CT imaging, radiology report embeddings, and demographic features. The model was trained using a negative log-likelihood loss to estimate patient-specific PDAC risk scores. Model performance was assessed using the concordance index (C-index). Internal validation included patients from MN and AZ sites, while external validation used the FL cohort. Results: We evaluated unimodal (imaging, text, and demographics) and multimodal inputs. Fusion of imaging, radiology report, and demographic features achieved the highest performance, with internal and external validation C-indices of 0.885 (95% CI, 0.856–0.908) and 0.751 (95% CI, 0.719–0.783), respectively. Subgroup analysis by tumor location demonstrated differential performance. For pancreatic head tumors, internal and external C-indices were 0.916 (95% CI, 0.841–0.960) and 0.778 (95% CI, 0.730–0.823). For pancreatic body tumors, C-indices were 0.954 (95% CI, 0.897–0.997) internally and 0.929 (95% CI, 0.897–0.953) externally. For pancreatic tail tumors, internal and external C-indices were 0.903 (95% CI, 0.830–0.974) and 0.789 (95% CI, 0.689–0.874). Conclusions: A multimodal deep survival model leveraging pre-diagnostic CT imaging, radiology report embeddings, and demographic data can effectively identify individuals at high risk for PDAC prior to clinical diagnosis. Differences in performance were observed across pancreatic head, body, and tail tumors. This approach highlights the potential of opportunistic cancer risk stratification from routine imaging to enable earlier detection and targeted intervention strategies.

e13615 Background: Bacillus Calmette-Guérin (BCG) remains the standard intravesical therapy for high-risk non-muscle-invasive bladder cancer (NMIBC), but weekly clinic-based instillations create substantial travel, time, and indirect costs that may threaten adherence. Therefore, we proposed a pilot trial of delivering BCG at Home as a prospective, single-center pilot testing a pharmacy-to-home pathway with digital patient-reported outcome (PRO) monitoring. Methods: BCG at Home is a prospective, single-center pilot evaluating feasibility and safety of home delivery of induction BCG for treatment-naïve, high-grade T1 and/or carcinoma in situ NMIBC. Dose 1 is administered in clinic to confirm tolerability and catheterization feasibility; doses 2-6 are administered at home by Penn Medicine at Home nurses after a 3 month training and proctorship program in intravesical therapy and exposure precautions. To enable transport beyond conventional short post-preparation windows, the pharmacy prepares BCG using a closed system transfer device (CSTD); bench testing demonstrated stability and sterility for 24 hours after connection. A medical courier delivers the prepared medication to the patient’s home, where the nurse receives the delivery and performs the instillation. The primary endpoint is induction adherence (completion of all recommended doses). Secondary endpoints include PROs (EORTC QLQ-C30/QLQ-NMIBC24), satisfaction, and acute care utilization. PROs are captured before and after treatment using a conversational chatbot; domain summaries are assessed at baseline, 6 weeks, and 12 weeks. Results: The pilot began enrollment in June 2025 (planned sample size: 20). To date, eight participants have enrolled and completed induction. Median age was 76 years (range 41-88); 50% were female and 25% were Black/African American. Participants lived a mean of 30 miles from the treating facility. Forty home instillations were delivered, and all participants completed all recommended induction doses (100% adherence). Median nurse time in the home was 40 minutes. Five episodes of hematuria were self-limited; one urinary tract infection resolved with antibiotics. Self-efficacy improved from a median of 3 pre-treatment to 7 post-treatment. The median COST-FACIT score was 30 (scale 1-44). Mean EORTC QLQ-C30 global health status was 71 (0-100). EORTC QLQ-NMIBC24 averages showed urinary symptoms rising during induction (23 at baseline to 30 at 6 weeks) with improvement by 12 weeks (18) and future worries decreasing (33 to 25); intravesical treatment issues remained low (5 to 2). Conclusions: BCG at Home is, to our knowledge, the first prospective trial to administer intravesical BCG in the home setting using a standardized pharmacy-to-home pathway. Early results support feasibility, complete adherence, and an acceptable short-term safety profile. Clinical trial information: 07048496 .

Abstract Maternal iron deficiency (ID) affects nearly 85% of all pregnancies worldwide by the third trimester and is strongly linked with maternal morbidity, poor birth outcomes, and cognitive and behavioral developmental deficits in children. Despite its burden on maternofetal health, no guidelines exist for routine screening of ID in pregnant individuals in the United States. The World Health Organization uses a diagnostic (ie, nonscreening) ferritin threshold of 15 μg/L for ID in the first trimester of pregnancy, with no guidance for the second and third trimesters. Routine screening for ID in pregnancy could identify a large proportion of mothers who remain undiagnosed and untreated under the current clinical status quo. Accordingly, we conducted, to our knowledge, the first cost-effectiveness analysis of ferritin-based ID screening in pregnant women in the United States, comparing thresholds of (1) 30 μg/L vs (2) 15 μg/L vs (3) no screening from a modified US societal perspective accounting for wages lost to infusion time, infusion administration costs, and the cost of annual hematology follow-up. We found that screening at 30 μg/L was the preferred strategy across extensive base-case, threshold, and sensitivity analyses and across all examined willingness-to-pay thresholds, with an incremental cost-effectiveness ratio of $34 000/quality-adjusted life year (QALY; 95% credible interval, $32 000-$36 200/QALY) compared with no screening. No parameter variation changed this outcome, and screening at 30 μg/L was favored in 100% of 10 000 Monte Carlo iterations. Population-level regular second- and third-trimester screening for ID using physiologically informed ferritin ranges should be considered for all pregnant women in the United States.

Abstract Background High‐resolution MRI is essential for accurate diagnosis and treatment planning, but its clinical acquisition is often constrained by long scanning times, which increase patient discomfort and reduce scanner throughput. While super‐resolution (SR) techniques offer a post‐acquisition solution to enhance resolution, existing deep learning approaches face trade‐offs between reconstruction fidelity and computational efficiency, limiting their clinical applicability. Purpose This study aims to develop an efficient and accurate deep learning framework for MRI SR that preserves fine anatomical detail while maintaining low computational overhead, enabling practical integration into clinical workflows. Materials and Methods We propose a novel SR framework based on multi‐head selective state‐space models (MHSSM) integrated with a lightweight channel multilayer perceptron (MLP). The model employs 2D patch extraction with hybrid scanning strategies (vertical, horizontal, and diagonal) to capture long‐range dependencies while mitigating pixel forgetting. Each MambaFormer block combines MHSSM, depthwise convolutions, and gated channel mixing to balance local and global feature representation. The framework was trained and evaluated on two distinct datasets: 7T brain T1 MP2RAGE maps (142 subjects) and 1.5T prostate T2w MRI (334 subjects). Performance was compared against multiple baselines including Bicubic interpolation, GAN‐based (CycleGAN, Pix2pix, SPSR), transformer‐based (SwinIR), Mamba‐based (MambaIR), and diffusion‐based (I 2 SB, Res‐SRDiff) methods. Results The proposed model demonstrated superior performance across all evaluation metrics while maintaining exceptional computational efficiency. On the 7T brain dataset, our method achieved the highest structural similarity (SSIM: ) and peak signal‐to‐noise ratio (PSNR: dB), along with the best perceptual quality scores (LPIPS: ; GMSD: ). These results represented statistically significant improvements over all baselines (), including a 2.1% SSIM gain over SPSR and a 2.4% PSNR improvement over Res‐SRDiff. For the prostate dataset, the model similarly outperformed competing approaches, achieving SSIM of , PSNR of dB, LPIPS of , and GMSD of . Notably, our framework accomplished these results with only 0.9 million parameters and 57 GFLOPs, representing reductions of 99.8% in parameters and 97.5% in computational operations compared to Res‐SRDiff, while also substantially outperforming SwinIR and MambaIR in both accuracy and efficiency metrics. Conclusion The proposed framework provides a computationally efficient yet accurate solution for MRI SR, delivering well‐defined anatomical details and improved perceptual fidelity across anatomically distinct datasets. By significantly reducing computational demands while maintaining state‐of‐the‐art performance, the model offers strong potential for feasibility toward clinical translation and scalable integration into future imaging workflows.

7569 Background: MAIA and CEPHEUS trials demonstrated that daratumumab (Dara) with standard of care (SOC) VRd or Rd significantly improved clinical outcomes versus SOC in TIE NDMM. Here we describe efficacy and safety in TIE pts from both trials by age and baseline (BL) frailty using the latest data cuts. Methods: Pts were randomized 1:1 to DRd (n=368) or Rd (n=369) in MAIA and 1:1 to DVRd (n=144) or VRd (n=145) in CEPHEUS. Progression-free survival (PFS), complete response or better (≥CR), overall MRD negativity (neg) at 10 -5 with ≥CR, sustained MRD neg with ≥CR (confirmed MRD neg ≥12 ± 1 months [mo] apart without MRD positivity in between), and safety were assessed by age (<70, 70–<75, or ≥75 years [y]) and BL frailty (assessed by IFM simplified frailty score: 0–1, non-frail; ≥2, frail). Results: Median follow-up was 64.5 mo in MAIA and 76.0 mo in CEPHEUS. In MAIA, 155 (21%) pts were <70 y, 261 (35%) 70–<75 y, and 321 (44%) ≥75 y; 341 (46%) pts were frail, 88.0 % of whom were ≥70 y. In CEPHEUS TIE pts, 70 (24%) pts were <70 y, 133 (46%) 70–<75 y, and 86 (30%) ≥75 y; 83 (29%) pts were frail, 86% of whom were ≥70 y. DRd or DVRd improved PFS, MRD neg rates, sustained MRD neg rates, and ≥CR rates vs Rd or VRd arms across age and frailty subgroups in both trials (Table). Safety was consistent with established individual drug profiles, and adverse event rates were generally comparable across treatment arms and subgroups within both trials. Additional data on patient-specific factors relevant to these subgroups will be presented. Conclusions: Dara-based regimens improved efficacy outcomes across subgroups in MAIA and CEPHEUS trials, reinforcing Dara-based regimens as SOC in TIE NDMM regardless of age or frailty. These data offer clinically relevant insights to help guide treatment selection for TIE pts. Clinical trial information: NCT03652064 ; NCT02252172 . PFS, hazard ratio (95% CI) ≥CR rate, % MRD neg with ≥CR (10 -5 ) rate, % Sustained MRD neg with ≥CR (10 -5 ) rate, % Age/ Frailty status MAIA* CEPHEUS** MAIA* CEPHEUS ** MAIA* CEPHEUS** MAIA* CEPHEUS ** <70 y 0.35 (0.21–0.56) 0.60 (0.31–1.18) 56.4 vs 31.2 85.7 vs 68.6 35.9 vs 11.7 74.3 vs 42.9 25.6 vs 3.9 62.9 vs 28.6 70–<75 y 0.64 (0.45–0.89) 0.60 (0.37–0.99) 56.2 vs 31.3 77.9 vs 69.2 36.2 vs 12.2 55.9 vs 47.7 20.8 vs 5.3 45.6 vs 38.5 ≥75 y 0.59 (0.44–0.79) 0.46 (0.22–0.94) 44.4 vs 28.6 80.5 vs 44.4 26.9 vs 9.9 58.5 vs 26.7 13.8 vs 3.1 43.9 vs 15.6 Frail 0.64 (0.48–0.85) 0.62 (0.32–1.18) 44.8 vs 33.1 72.9 vs 54.3 25.6 vs 13.0 56.3 vs 34.3 15.7 vs 4.1 39.6 vs 17.1 Non-frail 0.48 (0.36–0.64) 0.51 (0.34–0.78) 56.6 vs 27.5 84.4 vs 63.6 37.8 vs 9.5 63.5 vs 41.8 21.4 vs 4.0 54.2 vs 32.7 *MAIA: DRd vs Rd; **CEPHEUS: DVRd vs VRd.