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Abstract Background Age and sex influence the clinical expression of transthyretin (ATTR) amyloidosis, but limited evidence exists on their real-world impact across disease phenotypes. The prospective, multi-national MaesTTRo study, currently enrolling patients from the USA, Canada, the UK, Germany and Spain, provides a uniquely comprehensive opportunity to explore age- and sex-associated differences in routine practice. The aim of this analysis was to quantify the associations between these factors and diagnostic delay and cardiac findings. Methods Baseline data from 230 consecutively enrolled patients were analysed. Cohorts were stratified by age at diagnosis (<60 y, n = 45; ≥60 y, n = 185) and separately by sex (female n = 70; male n = 161). Clinical characteristics, laboratory values, echocardiographic parameters and Kansas City Cardiomyopathy Questionnaire (KCCQ-23) scores were compared descriptively. Additional data will be included in the presentation as enrollment continues. Results Younger patients exclusively expressed a hereditary genotype (100% vs 63%), and experienced a longer mean (+SD) diagnostic delay than older patients (48 ± 61.5 vs 40.9 ± 64.4 months). Cardiac involvement was markedly age-dependent: median NT-proBNP was 91.5 pg ml⁻¹ (IQR 48.5–307) in the <60 yrs group versus 1,393.5 pg ml⁻¹ (457–3,065) in the ≥60 yrs group. Older patients were more likely to experience New York Health Association (NYHA) class II–IV limitation than younger patients (88% vs 44%). Nonetheless, LV ejection fraction remained preserved in both cohorts (51 ± 14.8 vs 55.6 ± 9.3%). Older patients also reported a higher burden of cardiac symptoms (52% vs 33%). Patient-reported KCCQ scores were lower in the ≥60 yrs group vs <60 years (68.4 ± 22.3 vs 73.3 ± 27.4). Females were more often diagnosed with ATTRv (84% vs 63%) after longer delays (51.3 ± 80.9 vs 38.3 ± 54.6 months), despite a stronger family history (61% vs 34%), and had lower biomarkers (NT-proBNP: 589 pg ml⁻¹ [111–2,509] vs 1,220 pg ml⁻¹ [386–2,941]) and wall thickness (LV wall thickness >12 mm: 58% vs 73%), although there was no difference in LV mass index. Males reported better health status (KCCQ: 70.7 ± 22.2 vs 64.7 ± 24.4). Neurologic manifestations were common in both sexes (~70%), while musculoskeletal symptoms were more commonly reported in females (33% vs 23%). Conclusions Age and sex may independently modulate the diagnostic trajectory and cardiac presentation of ATTR amyloidosis. Advanced age and male sex are associated with more pronounced structural biomarker evidence of myocardial damage, whereas younger age and female sex are linked to delayed diagnosis of primarily hereditary ATTR amyloidosis with polyneuropathy and less cardiac involvement, especially when non-indexed echo measurements are used. These results underscore the need for age- and sex-specific approaches to prompt early clinical suspicion and diagnosis in order to enable treatment to mitigate disease progression.For image description, please refer to the figure legend and surrounding text.For image description, please refer to the figure legend and surrounding text.

ABSTRACT Objective Little is known about shifting from pediatric to adult‐focused multiple sclerosis (MS) care. This study aims to explore transition of care and follow‐up in the US pediatric‐onset MS (POMS) population. Methods Surveys were distributed to 10 sites in the US Network of Pediatric MS Centers (US NPMSC) about transition‐of‐care practices. A cohort of POMS/clinically isolated syndrome (CIS) at 12 US NPMSC sites was analyzed. The primary comparison was between < 18 and ≥ 18‐years of age. The primary outcome was 1‐ and 2‐year lapse in last follow‐up visit, measured from last recorded database visit to data lock date or, if ≥ 18 years of age, up to 1 year after a patient reached their site's typical transition age, if earlier. Secondary outcomes were baseline factors associated with follow‐up lapse. The model was adjusted for preidentified confounders. Results Compared with < 18 years, age ≥ 18 was associated with greater hazard of 1‐ and 2‐year follow‐up lapse. In POMS/CIS, the estimated hazard was 1.61 for 1‐year lapse (95% confidence interval [CI] 1.32–1.97, p < 0.001) and 1.40 for 2‐year lapse (95% CI 1.11–1.76, p = 0.004). In POMS‐only, the estimated hazard was 1.70 for 1‐year lapse (95% CI 1.33–2.18, p < 0.001) and 1.49 for 2‐year lapse (95% CI 1.11–1.99, p = 0.007). Platform injectable disease‐modifying therapy was associated with greater and intravenous with lesser hazard of lapse in follow‐up, while MS was associated with lower hazard than CIS. Conclusion Variable transition‐of‐care practices and barriers were reported by major US POMS centers. Before typical transition age, age ≥ 18 was associated with greater hazard of 1‐ and 2‐year follow‐up lapse than < 18. Developing standardized, targeted transition‐of‐care practices in POMS may be important.

Abstract Pediatric high-grade gliomas (HGGs), including diffuse intrinsic pontine glioma (DIPG), are among the most aggressive childhood brain tumors, with five-year survival rates below 10%. Current treatment options are limited to radiation, highlighting the urgent need for novel therapies. Telomere maintenance via telomerase activation is a hallmark of cancer, enabling replicative immortality. Our prior studies demonstrate telomerase activity in 73% of HGGs and 47% of DIPG, implicating telomere biology as a critical therapeutic target. 6-thio-dG (THIO) is a first-in-class telomere-targeting agent that incorporates into telomeres of telomerase-positive cells, inducing telomere uncapping, genomic instability, and apoptosis. THIO crosses the blood–brain barrier and exhibits synergy with radiation in preclinical DIPG models. Telomere dysfunction is confirmed by telomere dysfunction-induced foci (TIFs), marked by colocalization of DNA damage response proteins (ATM S1981-P, γH2AX, 53BP1) at telomeres. Historical pediatric leukemia trials established THIO’s safety profile, and recent adult studies in non-small cell lung cancer demonstrated efficacy at lower doses. As part of the biologically-guided umbrella trial CONNECT TarGeT [NCT05839379], we are developing TarGeT-H, a phase 1/2 and surgical study to evaluate THIO combined with focal radiation in pediatric, adolescent, and young adult patients with newly diagnosed HGG or DIPG harboring telomerase activation, confirmed by hTERT mRNA expression—assessed via tumor submission, profiling, and rapid central screening through TarGeT-SCR. Specific aims include: (1) determining pharmacokinetics and safety to establish the recommended Phase 2 dose (RP2D); (2) estimating efficacy by progression-free survival (HGG) and overall survival (DIPG) compared to historical controls; and (3) assessing telomere dysfunction in resected HGG tumors via TIF analysis. Up to 90 patients will receive THIO intravenously during radiation and maintenance cycles for up to two years. By leveraging a selective telomere-targeting mechanism distinct from current therapies and demonstrating synergy with radiation, THIO represents a promising strategy to improve outcomes in devastating pediatric cancers.

Artificial intelligence (AI) is rapidly transforming healthcare through applications in clinical decision support, diagnostic imaging, population health management, and workflow optimization. Despite these advances, real-world deployment continues to expose critical challenges related to safety, bias, transparency, and integration into clinical workflows. Algorithmic bias can exacerbate health disparities, limited explainability may undermine clinician trust, and insufficient validation and post-deployment monitoring can compromise patient safety. Although the World Health Organization (WHO) has established six ethical principles for AI in health, including autonomy, well-being and safety, transparency, accountability, equity, and sustainability, translating these high-level principles into practical and enforceable governance mechanisms remains a persistent challenge. This narrative review synthesizes insights from bioethics, health policy, computer science, and clinical medicine to identify gaps in current AI governance approaches and proposes a lifecycle-aligned governance-by-design framework that operationalizes WHO ethical principles across key stages of the healthcare AI lifecycle, including data collection, model development, validation, deployment, and post-deployment monitoring. The framework integrates concrete governance mechanisms such as consent governance, fairness evaluation, external validation, explainability, clinician oversight, and continuous performance monitoring. Overall, this work advances a practical, lifecycle-integrated approach to AI governance and provides a structured foundation for developing safe, equitable, and trustworthy AI systems in healthcare.

e13730 Background: Financial toxicity, the burden of treatment cost, affects up to half of people with cancer and can affect survival. Financial toxicity is a health equity issue, disproportionately affecting Black patients. This cross-sectional study used baseline data from the Discussions of Cost (DISCO) Trial, an RCT to improve patient-provider treatment cost discussions and, in turn, mitigate financial toxicity, to examine whether Black and White patients differed in patient-provider communication perceptions and financial toxicity correlates. Methods: Data were collected from 2021-2025 at an NCI-designated comprehensive cancer center. Participants were Black or White patients diagnosed with solid tumor cancers. At baseline, patients completed demographic measures; communication measures of self-efficacy in patient-provider interactions (e.g., “I am confident I know what questions to ask a provider”); self-efficacy in managing cancer treatment costs (e.g., “I am confident I can understand treatment costs”); and whether they have a provider- or patient-centered approach (e.g., “the provider should decide what gets talked about”); and financial measures including economic burden (e.g., “it’s difficult to live on my income”); treatment cost distress (e.g., “worries about paying for my cancer treatment keep me up at night”); and anticipated material hardship (e.g., “I worry about the financial problems I will have in the future as a result of my treatment”). Comparisons were conducted by patient race. Results: A total of 202 patients participated (116 Black patients, 86 White patients). White patients were more likely to have advanced degrees, a higher annual income, and less likely to have Medicaid compared to Black patients. Black patients reported higher self-efficacy for managing treatment costs ( p = .002) and a higher provider-focused orientation to the patient-provider relationship ( p = .001), than White patients. Black patients reported greater levels of financial burden ( p < .001), cost distress ( p = .005), and anticipated material hardship ( p = .003). There was no difference in self-efficacy for interacting with providers. Conclusions: These results suggest that a communication intervention for patients may help mitigate the experience of financial toxicity, especially for Black patients. Clinical trial information: NCT04766190 . Patient characteristics. Black Patients White Patients p -value Race 116 86 Education < High School High School/GED Some College 2 or 4-year College Degree Graduate/Professional College Trade/Technical/Vocational School 10352626712 0141631187 < .001 Annual Household Income 0 - $19,999 $20,000 - 39,999 $40,000 - 59,999 $60,000 - 79,999 $80,000 - 99,999 $100,000 - 149,999 $150,000 + 53201611431 51215991716 <.001 Insurance Type* Medicaid Medicare Medicare supplement Private None 604911330 113726393 <.001>.99<.001.20.15 *Patients could select more than one

e13729 Background: Financial toxicity, the burden of treatment cost, affects up to half of people with cancer and can affect survival. Financial toxicity is a health equity issue, disproportionately affecting Black patients. Patient education about cost and patient-provider cost discussions are recommended to mitigate financial toxicity but occur infrequently. The Discussions of Cost (DISCO) App, designed to mitigate financial toxicity through a tailorable education and communication intervention, was assessed for efficacy in an RCT with Black and White patients. Here we describe the DISCO App's feasibility and acceptability. Methods: Data were collected from 2021 to 2025 at an NCI-designated comprehensive cancer center. Participants were Black or White patients diagnosed with solid tumor cancers. While waiting to see their provider, patients randomized to the intervention arm used the DISCO App on a tablet. The DISCO App includes a video about treatment costs, ways to manage costs, and the importance of discussing costs with providers. Once patients enter their socio-demographic information (e.g., employment) and financial concerns, they receive a tailored list of cost questions to ask their provider. Patients responded to measures immediately after using the DISCO App. Feasibility was assessed by patient reports of how much time they needed to use the DISCO App and if they were able to use the DISCO App before the provider entered the exam room. Acceptability was measured by items assessing patient perceptions of the DISCO App (1 = strongly disagree; 5 = strongly agree). Descriptive statistics summarized results and mean comparisons were used to assess perceptions by patient self-identified race. Results: Of the 202 patients recruited, 124 were randomized to the intervention arm (67 Black patients; 57 White patients). All patients completed using the DISCO App prior to their provider entering the exam room and 80% of patients needed 15 minutes or less to use the DISCO App, with no difference by patient race. Black patients ( M = 4.4) reported finding the DISCO App more helpful than White patients ( M = 3.9; p = .02) and it brought up cost issues they had not considered (Black patients = 3.5; White patients = 3.0; p = .05). Patients reported the questions were easy to understand ( M = 4.4), helped them feel it was okay to talk with their provider about cost ( M = 4.0), that it prompted cost questions ( M = 3.3), that they learned what costs to consider (55%), and learned ways to manage cost (62%) with no differences by patient race. Conclusions: The DISCO App was feasible and acceptable to Black and White patients with cancer, with Black patients reporting more favorable perceptions than White patients. Next steps include assessing effectiveness in improving outcomes including prompting patient-provider treatment cost discussions and related financial toxicity outcomes (e.g., treatment adherence). Clinical trial information: NCT04766190 .

603 Background: Accurate prediction of pathologic complete response (pCR) after preoperative therapy for HER2-positive (HER2+) breast cancer can help triage patients to immediate surgery vs additional preoperative therapy. Pre-surgery (i.e., after neoadjuvant therapy) imaging studies may help estimate the likelihood of pCR. In EA1181, patients (pts) with stage II-IIIA HER2+ breast cancer received four cycles of preoperative taxane, trastuzumab, and pertuzumab (THP×4). Pre-surgery imaging was required, though the specific imaging modality was not mandated. Here, we report the accuracy of pre-surgery breast MRI to predict pCR (ypT0/Tis, ypN0). Methods: Among 2,141 pts treated with THPx4, 1,378 had pre-surgery breast MRI and were representative of the overall cohort, although T3 tumors were more common (16% vs 9%). MRI reports were available for 1,351 pts; all reports were centrally reviewed and classified as radiologic complete response (rCR; no residual tumor enhancement and normalization of lymph nodes, if applicable) or radiologic residual disease (rRD). Reports with indeterminate radiologic response were independently reviewed by two study radiologists blinded to pathology outcomes. Among pts with rCR who had pathologic residual disease (pRD), we also assessed the extent of residual disease by residual cancer burden (RCB) score. Among pts with rRD who had a pCR, we determined the proportion who only had residual ductal carcinoma in situ (DCIS). Results: See Table. Conclusions: After neoadjuvant therapy, preoperative MRI accurately predicted pCR in 86% of patients with HER2+/ER− disease and may help identify patients who can proceed directly to surgery. MRI is insufficient to predict pCR for pts with HER2+/ER+ disease, as only 55% with complete response on MRI had a pCR at surgery. A pre-surgery MRI that indicated residual disease was accurate in 80% of pts with HER2+/ER+ disease, but in only 45% of pts with HER2+/ER- cancer. Accurately predicting residual disease after THPx4 allows for consideration of additional therapy that may increase the chance of pCR. Combining imaging like MRI with other biomarkers, such as tissue-based markers or circulating tumor DNA, may improve prediction of pCR and facilitate personalization of treatment decisions in HER2+ breast cancer. All pts with pre-surgery MRI (n=1351)pCR rate overall in this cohort = 47% MRI result Pathology pCR pRD rCR 70.6% (341/483) 29.4%(142/483) 78% had RCB1 rRD 34%(295/868) 21% of 295 had DCIS only 66.01% (573/868) ER- (n=589)*Overall pCR rate in ER- subset = 68% MRI result Pathology pCR pRD rCR 86.1% (205/238) 13.9% (33/238) 85% had RCB1 rRD 55.3% (194/351) 19% of 194 had only DCIS 44.7% (157/351) ER+ (n= 762)*Overall pCR rate in ER+ subset = 31% MRI result Pathology pCR pRD rCR 55.5% (136/245) 44.5% (109/245) 76% had RCB1 rRD 19.5% (101/517) 26% of 101 had only DCIS 80.5% (416/517)

Objectives: To summarize current evidence for radiotherapy in the treatment of OA. The population, intervention, comparator, and outcome questions included: What is the role of LDRT for treatment of OA?; What are risks of LDRT?; and What are the optimal RT techniques for OA? Methods: This multispecialty-led committee includes radiation oncologists, rheumatologists, orthopedic surgeons, and a patient advocate. Using the population, intervention, comparator, outcome, timing and study design (PICOTS) framework, evidence regarding treatment outcomes was assessed using Cochrane and PRISMA methodology. Eligible studies included prospective and retrospective (n≥50) studies published between January 1, 2010, and May 10, 2025, from Embase, Medline, and PubMed databases. Study type and quality were assessed. Well-established RAND-UCLA consensus methodology (modified Delphi) was used to rate the appropriateness of the treatment options. Results: Of the 548 articles identified using the search strategy, 44 were selected for inclusion. Eight additional studies were identified through backward citation searching. Ten well-designed studies accounting for biases, 15 moderately well-designed studies accounting for the most common biases, 18 studies with design limitations, 8 supplemental studies not useful as primary evidence, and 1 meta-analysis were included. Additional studies were included to provide context and were not used to guide recommendations. The results of this analysis demonstrate that LDRT results in an overall treatment response rate of 60% to 90%, with significant clinical benefits including pain reduction, increased joint mobility, and improved quality of life. Conclusions: This systematic review and consensus guidelines for LDRT treatment of OA are based on current evidence. Further high-quality studies are warranted.