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The NCCN Guidelines for Survivorship include screening, evaluation, and treatment recommendations for common physical and psychosocial problems resulting from adult-onset cancer and its treatment and provide a framework for coordination of survivorship care. They also include recommendations to help cancer survivors enhance their wellness and maintain a healthy lifestyle. These NCCN Guidelines Insights summarize the panel’s current recommendations and recent updates regarding physical activity, nutrition, and weight management for cancer survivors.

Background: During the COVID-19 pandemic, increased use of telehealth expanded access to health care for older adults. Many clinicians and health systems adjusted workflows and realized that certain competencies are needed to fully engage older adults in telehealth services. This scoping review evaluates the approaches needed to educate clinicians about providing telehealth services to older adults. Methods: We conducted a review of studies published from January 2000 through February 2024 by using the 6-stage scoping review process. Searches of PubMed/MEDLINE and five other databases included the concept areas of competencies, telehealth delivery of mental health services, and older adults. Results: We initially identified 813 articles, of which 89 were eligible for full-text review and 15 met our inclusion criteria. Most studies included training participants about the use of telehealth but without formal curricular interventions or evaluations and lacked details about topics, materials, methods, or outcomes. Telehealth training was general and focused primarily on the use of technology and telepresence, although not specifically for older adults. Three themes were identified from the studies: the role of teams and interprofessional education, the importance of training for clinicians and older patients, and adaptations to improve telehealth delivery for older adults. Conclusions: Individual and institutional competencies are needed to guide educational goals and outcome measures related to telehealth services for older adults. The use of telehealth specifically for older adults may require adaptation to clinical practice and delivery, adjustments to workflow, development of clinician skills, and promotion of interprofessional teamwork.

ABSTRACTBarriers to pediatric palliative care (PPC) integration in pediatric oncology encompass resource availability, provider attitudes, patient/family hesitancy, and timing. We report on a unique multistep approach for the creation of a pediatric palliative oncology program that (1) optimizes PPC delivery for all resource‐typed settings, (2) offers continuity of care by spanning inpatient and outpatient clinical settings, (3) improves PPC equity through standardized referral practices, and (4) promotes collaborator buy‐in and partnership through the utilization of tools to introduce PPC to patients/families. Our model demonstrates success through objective increases in PPC consultation and reported satisfaction from patients, families, and oncologists.

The prevalence of comorbid metabolic dysfunction–associated steatotic liver disease (MASLD) and obesity has increased exponentially over the last several years, with current estimates demonstrating that up to 40% of adults in the United States have MASLD. Metabolic dysfunction–associated steatohepatitis is now a leading indication for liver transplantation, and rates of obesity and MASLD pre-transplant and post-transplant are on the rise. Our understanding of the physiology of obesity and metabolic disease and the availability of effective obesity treatments have evolved over the same time frame. With the availability of new anti-obesity medications, there has been a debate over the role of pharmacotherapy versus interventional approaches in the treatment of obesity and MASLD in the liver transplantation population. In October 2024, the American Society of Transplantation (AST) Liver and Intestinal Community of Practice held a virtual Controversies Conference on obesity and liver transplantation. Experts in the field presented the available data, and smaller working groups had interactive breakout sessions that identified knowledge gaps and developed recommendations. This perspective prepared on behalf of the participants of the AST Controversies Conference on obesity and liver transplant aims to summarize the available evidence for surgical and pharmaceutical treatment in the liver transplantation population.

e13622 Background: Chimeric antigen receptor T-cell (CAR-T) therapy has revolutionized treatment of hematologic malignancies; however, severe toxicities like cytokine release syndrome (CRS) remain a limitation to broader utilization. Using a large dataset of patients treated with CAR-T, we developed a machine learning (ML) model leveraging multi-model patient characteristics to predict the risk of CRS onset with clinically meaningful lead times. Methods: A prospectively maintained dataset of CAR-T patients treated at Mayo Clinic was used. Baseline disease/patients characteristics, labs, ECG, echocardiogram, and vital signs (including data from remote patient monitoring program) were collected. A 24-hour rolling window was used to generate daily averages, maximum, minimum, and deltas for each parameter. ECG and echocardiogram data were forward-imputed; vital signs and labs were not imputed. Each day-post-infusion served as a potential event (CRS onset vs. no CRS). A gradient boosting classifier was trained and tested on a subset of patients (n = 351) using 1,000 bootstrap iterations, evaluating 24-, 48-, and 72-hour lead times. Shapley-based feature importance guided simplification to an 11-feature model, externally validated on an independent cohort (n = 51). Models’ performance assessed using the area under the receiver operating characteristic curve (AUC). Results: A total of 402 patients treated with CAR-T were examined. Median age was 64 years and 36% were female. Primary diagnosis was B-cell lymphoma (n = 240) or multiple myeloma (n = 162). A total of 226,332 vital sign measurements and 372,871 lab values, as well as ECG and echocardiogram data, were collected for 30 days post-infusion. Overall, 79.8% of patients experienced CRS within 30 days. The full ML model demonstrated AUCs of 0.90 (95% CI 0.86–0.93), 0.83 (95% CI 0.77–0.88), and 0.82 (95% CI 0.77–0.87) for 24-, 48-, and 72-hour predictions of CRS, respectively. Including “day of CRS onset post CAR-T” as a feature improved the 72-hour AUC to 0.87 (95% CI 0.83–0.90). A model restricted to vital signs alone showed AUCs of 0.88, 0.75, and 0.71 for 24-, 48-, and 72-hour horizons. An 11-feature model—focusing on temperature, blood pressure, fibrinogen, CRP, serum sodium level, QRS interval, and lymphocyte counts—maintained high accuracy at 24 hours (AUC 0.90, 95% CI 0.86–0.93) and was validated externally using an independent dataset with an AUC of 0.92. Conclusions: Our ML model provides a reliable approach for predicting if/when CRS will occur, with up to three days of lead time before clinical manifestation, offering an opportunity for proactive management. The robust performance of a parsimonious 11-feature model supports practical adoption across clinical settings and real-time risk stratification to enhance patient safety. Prospective validation and integration into clinical workflows will be critical to translating these findings into practice.

e13575 Background: Cellular therapies continue to expand in diversity, complexity, and financial impact leading clinicians and administrators to seek innovative care options. The paradigm of late has been to move to an outpatient treatment model. However, centers may not find this model to be the safest option for their patients. This pilot project aims to use established outpatient resources to reduce hospital length of stay (LOS) for patients receiving ciltacabtagene autoleucel in an inpatient setting. Methods: Chart review was conducted for 42 patients treated for incidence of CRS, days to onset, LOS, readmissions, and hospital expenses and charges. The cohort showed an 83% incidence of CRS with a mean onset of 7 days. 71% of CRS was limited to Grade 1. The mean LOS was 10.8 days and the readmission rate was 21%. Financial modeling estimated overall cost reduction to range from $13,000 to $20,000 per patient for a LOS of 3 days. A pilot project to reduce LOS was developed with inclusion/exclusion criteria prioritizing patient safety and likelihood of remaining in the outpatient setting. A workflow for administering one dose of tocilizumab for Grade 1 CRS in the outpatient setting was also established to counterbalance readmissions. The goal of the pilot is to reduce the overall LOS from 10 days to 3 days while maintaining readmission rates and comparable charge to reimbursement ratios on net operating income. Results: In the first five months, 25 patients were screened for eligibility. 60% were deemed eligible and 66% of those were discharged after three days. No patients discharged after a minimum admission were readmitted within three days. Current data suggests the readmission rate within 30 days is higher than baseline at 40%. The overall LOS of patients enrolled in the pilot upon infusion was six days. Patients successfully remaining on the pilot have a 60% reduction in LOS. There have been no major safety events. Conclusions: We identified that select patients could be managed in the outpatient setting after a minimum three-midnight hospital admission. A pilot project was developed using our comprehensive care model coupled with a minimum LOS of 3 days. After discharge, patients are followed daily in our outpatient clinic using in-person visits and remote patient monitoring. To counterbalance readmissions, Grade 1 CRS has been treated in the outpatient clinic including administration of tocilizumab. Early data indicates that the workflow is reducing LOS by 60% under patient selection criteria capturing approximately 60% of patients. While readmissions in the first three days post discharge have been parried, there is opportunity to further reduce readmissions in the first 30 days following CAR-T infusion. We anticipate the pilot will reduce costs without negatively impacting reimbursement or readmissions.

e13893 Background: For individuals with CNS tumors who have experience difficulties with in-person (IP) evaluations due to disease-related neurologic disability or the costs associated with travel, telehealth (TH) offers a convenient and timely alternative for accessing specialized neuro-oncology care. We report our institution’s experience with telehealth utilization in neuro-oncology. Methods: We conducted a retrospective review of patients who had at least one neuro-oncology telehealth visit between August 2021 and May 2024 at Mayo Clinic in Rochester, Minnesota. Reasons for visits, outcomes of appointments, acute care utilization following visits was reviewed. Results: A total of 660 patients who had at least one TH visit between August 2021 and May 2024 were included in the analysis. Median age was 56 (range 20-98), 49% were female, and 92% were white. Most patients resided in the US Midwest (84%), followed by the South (8%), West (5%), Northeast (1%), and US Territories (< 1%). Less than two percent were international patients. The most common primary visit diagnosis was glioblastoma (GBM, 26%), followed by astrocytoma, IDH-mutant (17%), meningioma (17%), oligodendroglioma, IDH-mutant, 1p/19q codeleted (7%). Of 6657 visits reviewed, 2745 (41%) were conducted via TH. Telehealth visits served various purposes, including consultation for newly diagnosed tumors or abnormal MRIs (n = 26), second opinion for an established tumor diagnosis (n = 119), discussion about clinical trial participation (n = 108), tumor-related treatment discussions (n = 719), chemotherapy education (n = 161), new symptom assessment (n = 117), symptom management (n = 366), and tumor surveillance (n = 1694). Outcomes from telehealth visits included enrollment in clinical trials (n = 28), proceeding with tumor-directed surgery (n = 46), initiation of radiation therapy (n = 88), starting or changing systemic therapy (n = 377), continuing existing systemic therapy (n = 932), transition to supportive care (n = 45), tumor diagnostic workup (n = 28), continuation of tumor surveillance (n = 1254). Acute care utilization, defined as an emergency department visit or hospitalization within one month of an appointment, was the same following telehealth visits compared to in-person visits (6.9% for IP vs 5% for TH, p = 0.507). Conclusions: Our findings demonstrate that telehealth can effectively support all aspects of neuro-oncology care, ranging from initial diagnosis discussions to systemic therapy management and transitions to supportive care. Telehealth offers a convenient and accessible method of care delivery option for patients faced with neurologic illness. Additionally, THs do not lead to increased acute care utilization compared to IP evaluations.

5073 Background: B7-H3 ( CD276 ) is an immunomodulatory protein overexpressed in prostate cancer (PC), representing a promising therapeutic target. However, expression of B7-H3 across PC disease states (hormone sensitive [HSPC], castration resistant [CRPC], neuroendocrine [NEPC]) and across races is poorly understood. We analyzed PC samples from a large clinico-genomic database to comprehensively characterize B7-H3 expression and elucidate its therapeutic potential in PC patients. Methods: We analyzed 7,682 PC samples with paired DNA/RNA profiling from Caris Life Sciences. Using CD276 mRNA expression measured by transcripts per million (TPM), samples were stratified into B7-H3-high (>75% centile) or low (<25% centile) groups. Annotations of HSPCs and CRPCs were based on time of biopsy collection relative to first use of androgen deprivation therapies. NEPC was defined histologically (Epstein, AJSP 2014). Transcriptomic alterations were compared using Mann-Whitney U tests. Overall survival (OS) was obtained from insurance claims data and assessed by Kaplan-Meier and Cox proportional hazards analyses. Results: B7-H3 was expressed at similar levels across specimen sites (prostate, lymph node, bone, liver, lung). HSPCs and CRPCs had similar levels of B7-H3 expression, but was reduced in NEPCs (TPM = 5.07, 4.96, 4.48; q<0.0001). While B7-H3-high was associated with worse OS in HSPCs (HR 1.32, 95CI 1.14-1.53, p=0.0002), it was associated with better OS in CRPC (HR 0.82, 95CI 0.69-0.97, p=0.018). B7-H3 expression was comparable in white, African American (AA), and Asian patients. However, Asian patients with high B7-H3 had worse outcomes (HR 4.08, 95CI 2.10-7.93, p<0.0001) while AA patients had improved outcomes (HR 0.74, 95CI 0.57-0.97, p=0.027). In co-expression analyses, B7-H3 was positively correlated with AR transcriptional co-factors ( HOXB13 , FOXA1 ) (R=0.59, 0.47; q<0.0001) but had weaker correlations with lineage plastic factors ( EZH2 , SOX2 , ASCL1 ) (R=0.26, 0.11, -0.02). Further, B7-H3-high correlated with high AR-score and low-NEPC. Given emergent bi-specific therapeutics in PC, we examined co-expression of B7-H3 with other cell surface targets. TROP2 ( TACSTD2 ) and NECTIN-4 ( PVRL4 ) exhibited the greatest correlation with B7-H3 (R=0.42, 0.40; q<0.0001); whereas PD-L1 ( CD274 ), CTLA4 , DLL3 , and CEACAM5 had weaker correlations (R=0.18, 0.08, 0.14, 0.09). Conclusions: High B7-H3 expression worsens prognosis in HSPC but improved prognosis in CRPC. Outcomes differed by race, with B7-H3-high Asian patients exhibiting worse OS while AA patients had better OS. The positive correlation between B7-H3 and AR co-factors suggests that B7-H3 is AR-regulated, at least in CRPC. Lastly, bi-specific approaches may be valuable against B7-H3-high tumors, with co-targeting of TROP2 and/or NECTIN-4.

10512 Background: Polygenic risk scores (PRSs) combine information from single-nucleotide polymorphisms (SNPs) across the genome to explain substantial genetic breast cancer (BC) susceptibility. Previous studies have demonstrated that a multiple-ancestry PRS (MA-385) based on 56 ancestry-informative and 329 BC-associated SNPs is accurate for diverse populations and ranks among the most important known factors affecting the risk of BC development. However, medical guidelines call for more evidence before endorsing the clinical use of PRS, including studies to evaluate possible interactions of SNPs with environmental and hormonal risk factors. Here, we use longitudinal outcomes from the UK Biobank (UKB) to explore interactions of MA-385 and the five most informative individual BC-associated SNPs with the widely used Tyrer-Cuzick (TC) risk model and individual TC risk factors. Methods: The study cohort included 197,509 female UKB participants with no history of cancer at the time of study enrollment. We used Cox proportional hazards models to test associations of MA-385, individual BC SNPs, TC, and individual TC risk factors with BC outcomes. Effect modification of MA-385 and individual SNPs by clinical risk factors was evaluated by including interaction terms in the models. All models were adjusted for age at UKB enrollment and 10 principal components. Hazard ratios (HRs) and 95% confidence intervals (CIs) are reported per standard deviation, and significance tests were performed using two-sided p-values based on likelihood-ratio test statistics. Results: After a median follow-up of 11.8 years, 7,419 (3.8%) participants were diagnosed with BC.In a model including both MA-385 and TC, MA-385 was a significantly better predictor of BC development (HR = 1.56; 95% CI 1.53-1.60, p = 3.2 x 10 -329 ) over the TC model (HR = 1.21; 95% CI 1.18-1.23; p = 5.4 x 10 -69 ). We found no evidence of interaction between MA-385 and TC ( p = 0.31) , nor between individual SNPs and TC. After Bonferroni adjustment for multiple testing (102 tests), we found no evidence of interaction between MA-385 or individual SNPs with clinical TC factors. The strongest evidence for interaction was found between a BC SNP on chromosome 2 (rs13387042) and age at UKB enrollment (unadjusted p = 0.002; Bonferroni adjusted p = 0.23). Conclusions: In a longitudinal analysis of UKB, MA-385 was a highly significant predictor of BC risk and substantially improved prediction over TC. In contrast, interactions of MA-385, and individual BC SNPs, with TC and individual clinical factors in the TC model were not statistically significant. Clinical TC factors have minimal, if any, impact on the strength of the association between MA-385 and BC. These results may help to alleviate concerns expressed in guidelines that SNPs interact with environmental or hormonal risk factors.