Citations

1633 Background: CAR-T cell therapy has transformed outcomes of hematologic malignancies and is poised to expand into solid malignancies. However, broader use of CAR-T remains constrained by the need for timely cytokine release syndrome (CRS) detection. Current episodic monitoring may miss early physiologic changes. Wearable digital health technologies (DHTs), offering continuous monitoring and real-time alerts, could enable earlier CRS detection, further support outpatient delivery, and expand access to CAR-T and potentially other immunotherapies associated with CRS. Methods: This single-center observational study (NCT05018208) enrolled patients receiving FDA-approved CAR-T products in the outpatient setting at Mayo Clinic, Rochester MN. Management of post-CAR-T complications (e.g. CRS) followed the institution’s standard of care. Patients were monitored from day -5 to day +30 post infusion with intermittent remote patient monitoring (SoC) and an arm-worn wearable device for continuous monitoring (DHT). Patients were included in this analysis if DHT data were available for ≥ 5h of data/day or ≥ 2h of data/night on ≥2 days or nights for baseline and ≥1 day or night within 72h prior to CRS, or at least 2h within 4h of CRS onset, or if DHT was available for ≥7 days/nights post infusion with no CRS event. CRS detection time by DHT was defined as the onset of pyrexia or threshold-based deviation from an individual’s baseline pulse distributions. Results: 32 patients were included in this report (median age 64 years, gender 12 F/20 M, diagnoses 18 MM/14 NHL). 25 patients experienced a CRS event, with maximum CRS grades ranging from 1-3 (16 G1, 8 G2, 1 G3). 24/25 patients with CRS required tocilizumab/steroid. Median CRS onset time was 3.4 days (range 0.4-18.4). 12/32 patients had sufficient DHT data (7 CRS, 5 no CRS) for analysis. 5 patients with CRS had a DHT detection time in advance of the SoC by a median of 13h (range 2.8 - 69.2). The DHT prediction of CRS by baseline HR change was earlier than the first episodic fever by a median of 14.5h (range 13-77.5). The remaining 2/7 patients who did not have CRS detected by the DHT had missing DHT data for more than 45h before a treated CRS event. DHT detected CRS in 2/5 patients without CRS according to SoC. One patient had fever caught with intermittent monitoring. The other was treated for neutropenia fever with suspicion of CRS and/or infection. Conclusions: These results offer evidence that continuous DHT can identify CRS events earlier than intermittent monitoring (SoC). Despite limitations related to compliance with wearable device use and data missingness, and variability in clinical management of CRS, we highlight the usability of DHT and its potential for future studies with optimized strategies to address these limitations. Clinical trial information: NCT05018208 .

1503 Background: CAR T-cell therapy has revolutionized treatment outcomes in hematological malignancies, but has traditionally required inpatient post-infusion monitoring, which is associated with significant cost and time toxicity. Outpatient CAR T infusion and monitoring has been the standard approach at Mayo Clinic site in Rochester, MN, with demonstrated feasibility and safety (Bansal et al., ASCO 2023). We present data comparing healthcare utilization between CAR T recipients who underwent outpatient remote monitoring and those with traditional inpatient monitoring. Methods: Electronic medical records were retrospectively analyzed for 293 patients who received CAR T-cell therapy for a hematological malignancy at any of the 3 Mayo Clinic sites (MN, AZ, FL) between 2020 and 2024 . Healthcare utilization was compared between patients who received outpatient CAR T with remote patient monitoring in Rochester, MN (N = 125) and those who received inpatient CAR T in the Arizona (n = 90) and Florida (n = 78) sites. Per protocol, patients in the inpatient group underwent mandatory inpatient monitoring for 7 days, with extension per provider discretion. Data was analyzed through Chi-Square and Wilcoxon tests. P values < 0.05 were considered statistically significant. Results: There was no significant difference in baseline sex, age, ethnicity, LDH, platelets, or neutrophils among the 293 patients. Diagnoses included lymphoma (n = 175), multiple myeloma (n = 106), and B-ALL (n = 12). The most common CAR T-cell products used were axicabtagene ciloleucel (n = 138) idecabtagene vicleucel (n = 56), and ciltacabtagene autoleucel (n = 50). Median hospital days were lower in the outpatient group vs the inpatient group at 30 days (4.4 vs 13.3, P < 0.001) and 90 days (4.6 vs 13.6, P < 0.001). ICU admission occurred in 1 outpatient patient ( < 1%) vs 18 inpatient patients (11%) in the first 30 days (P < 0.001). In the first 30 days, 22% of patients in the outpatient group did not require hospitalization, while 56%, 15%, and 6% required 1, 2, and 3 hospitalizations, respectively. Similarly, only 11 (8.8%) patients in the outpatient group had ≥1 ED visit in the first 30 days compared with 32 (20%) pts in the inpatient group (P = 0.009). At 30 days, there was no difference in patient portal use, with 58% of patients using the portal at least once and a median of 1 message in both groups. Within the first 30 days, 53% and 2% of patients in the outpatient group required 1 and 2 outpatient visits, respectively, vs 29% and 2% in the inpatient group (P < 0.001). There was no difference in 30-day mortality (1.6% outpatient vs 2.4% in inpatient) between the 2 groups (P = 1.00) Conclusions: Outpatient CAR T-cell therapy monitoring was associated with significantly fewer hospital days without increased ED visits, ICU stays, portal use, or 30-day mortality. This demonstrates lower healthcare utilization for outpatient CAR-T therapy.

ABSTRACT Aim The supply of donor kidneys (living and deceased) has fallen far behind the need, while the number of patients with end stage kidney disease continues to rise, increasing their risk of cardiovascular mortality. Kidney transplant candidates frequently exhibit large artery calcification, a major contributor to cardiovascular death. This study aimed to evaluate the relationship between abdominal arterial calcification (AAC) and survival in patients awaiting kidney transplant. Methods We modified the coronary calcium scoring method (Modified Agatston Method) and applied it to quantify AAC. This retrospective study included all adult patients ( N = 4184) listed for kidney transplant from 2005 to 2023 who had undergone abdominal computed tomography (CT) scans. Patients were categorised into two groups: those who died while on the waiting list (DWL) and those who survived (SWL). Results Among 4184 candidates, 446 (10.7%) died while on the waiting list, and 3738 (89.3%) survived to transplant or study end. Patients in the DWL group had significantly higher AAC scores across all vascular sites. The median total AAC score was 3605.8 (IQR 780.1–9017.3) in the DWL group versus 940.1 (IQR 49.2–4915.0) in the SWL group. Each 1000‐point increase in total AAC was associated with a 5.1% increase in mortality risk (HR 1.051; p < 0.001). An AAC cutoff of > 1769 correlated with reduced 5‐year survival (45.4% vs. 77.4%, p < 0.001). Conclusion AAC scoring on non‐contrast abdominal CT represents a noninvasive biomarker of mortality in kidney transplant waitlist patients and may enhance risk stratification and personalised care.

Objectives: Amyloidosis is a group of rare diseases that often manifest in multi-organ symptoms requiring an effective multidisciplinary team of care providers to manage. This study aimed to identify the best practices and key barriers to patient-centric care at US specialized amyloidosis centers (SACs) which have emerged as central hubs for multidisciplinary amyloidosis care. Methods: We conducted and analyzed interviews with 77 stakeholders of amyloidosis diseases, including specialist physicians from 17 SACs across the US, patients, patient advocacy group representatives, and referring physicians. Results: The most commonly mentioned best practices were patient-centric multidisciplinary care, timely intake of new high-risk patients, and responsiveness to patient questions. Expanding local physician education was noted as critical to earlier diagnosis. Fifteen out of 17 SACs are actively involved in clinical trials for amyloidosis treatments. Key barriers to care identified were patient distance to SACs, limited medical records and data sharing, and insurance hurdles. Most SACs keep track of metrics, such as patient volume, patient demographics, time to first appointment, as part of internal or in external registries to measure progress. Conclusion: These findings offer practical insights for optimizing amyloidosis care and highlight the structural and informational gaps that must be addressed to improve access and outcomes.

Abstract Background: Accurate staging is essential for treatment selection, prognosis assessment, and trial eligibility. While prior studies attempted automating pathological (p) staging, few address clinical (c) staging and no studies have compared LLM-derived staging with clinician staging during clinical visit and retrospective cancer registry staging. Methods: We developed a multi-agent framework using Gemini-2.0-Flash-001 and GPT-5 to (1) identify reports (2) extract key data, and (3) apply AJCC 8th edition staging criteria. LLM staging was compared with clinician documentation and registry staging in breast cancer patients. Clinician-registry agreement served as the reference standard. Two independent breast oncologists reviewed discordant cases. Results: We analyzed 122 randomly selected breast cancer patients across all three Mayo Clinic sites from 2018 - 2023. LLM performance matched or exceeded human inter-rater agreement for pathological staging (95-99.2% vs. 95-98.4%). Clinical staging was more challenging, with LLM concordance of 73-77.9% for cT and 87-89.3% for cN versus 87.8% and 91.0% clinician-registry agreement. Among 89 patients with clinician-registry concordance, LLM concordance was 98.9% for pT/pN, 79.8% for cT, and 91.0% for cN. Experts favored LLM staging in 27.8% (5/18) of cT and 25.0% (2/8) of cN discordances. Error analysis revealed LLM challenges in handling non-mass enhancements (6 cases), selecting radiologic measurements (2 cases), identifying discrete masses (2 cases), and miscellaneous (3 cases). Conclusion: LLMs achieved human-level performance for pathological staging (98%), supporting human-in-the-loop deployment. For clinical staging (79.8% cT, 91.0% cN), future work must enhance multimodal reasoning and integrate physical examination data. Prospective validation is needed to assess real-world impact. With targeted refinements and oversight, automated staging can transform registry workflows while augmenting clinical decision-making. Citation Format: Arshad Mohammed, Umair Ayub, Pooja Advani, Shakeela W. Bahadur, Amye J. Tevaarwerk, Tufia C. Haddad, Elisabeth I. Heath, Brenda J. Ernst, Ben Zhou, Cui Tao, Sara J. Holton, Karthik V. Giridhar, Irbaz B. Riaz. Automating clinical and pathological staging for breast cancer patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 2744.

Abstract Introduction: The National Cancer Institute estimated almost 317,000 new breast cancer and over 13,000 new cervical cancer cases in 2025. While the National Breast and Cervical Cancer Early Detection Program has served millions of women over the past two decades, inequities in cancer screening, subsequently delayed diagnosis, and timely and appropriate treatment remain a public health challenge in the United States. Despite the substantial impact of social determinants of health (SDOH) on cancer screening, few studies have accounted for SDOH at the individual level when assessing breast and cervical cancer screening adherence. The primary objective of this study is to examine whether the individual-level SDOH, measured using HOUsing-based SocioEconomic Status (HOUSES) index, is associated with breast and cervical cancer screening non-adherence (not current on respective USPSTF recommendations for age and frequency). Methods: In this retrospective study, patients were identified as those receiving primary care in the Mayo Clinic Health System and Mayo Clinic (Rochester, MN). The Midwest Quality Metrics panel was then used to assess patients due for screening for breast or cervical cancer in July 2023. The HOUSES, using home address and publicly available data on the residence which measures and categorizes housing status into quartiles, was obtained using the electronic health records (EHRs)-linkable patient-level information. Logistic regression analyses were conducted, controlling for Census block group-level adverse social exposome from the Area Deprivation Index, age, and comorbidities. Results are presented as odds ratios (OR) with corresponding 95% confidence intervals (CI). Results: For breast cancer, among 128,462 eligible patients, 20.1% (n= 25,857) were non-adherent. Compared to the highest HOUSES quartile (Q4), lower HOUSES groups showed significantly higher odds of non-adherence: Q3 OR=1.20 (95% CI=1.15, 1.25), Q2 OR=1.45; (95% CI=1.40, 1.53), and Q1 OR=1.90 (95% CI=1.81, 1.99). For cervical cancer, among 175,712 eligible patients, 29.9% (n=52,533) were non-adherent. Compared to the highest HOUSES quartile (Q4), lower HOUSES groups showed significantly higher odds of non-adherence: Q3 OR=1.07 (95% CI=1.03, 1.10), Q2 OR=1.16; (95% CI=1.12, 1.20), and Q1 OR=1.36 (95% CI=1.31, 1.41). Conclusions: A clinically meaningful association between the HOUSES index and cancer screening adherence was observed. A lower HOUSES index was associated with higher odds of non-adherence for both breast and cervical cancer screening, even after accounting for neighborhood-level risk, age, and comorbidities. Incorporating HOUSES into EHRs can be a practical “screening-for-screening” tool that enables close monitoring of higher-risk patients without additional burden of surveys. Citation Format: Eunice Y. Park, Madison Beenken, Dave Watson, Chung Il Wi, Tufia Haddad, Gladys Asiedu, Karla BALLMAN, James R. Cerhan, Carolyn Flock, Brian Lynch, Folakemi T. Odedina, Scott H. Okuno, Young J Juhn, . HOUSES as a screening tool for cancer screening: Patient-level housing-based socioeconomic status and breast and cervical cancer screening adherence [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 7599.

PURPOSE Limited access to high-speed internet (broadband [BB]) may pose challenges to video telehealth visit (VTV) utilization. This study explored barriers, facilitators, and attitudes toward VTV adoption in patients with cancer residing in low-BB settings. METHODS We examined a cohort of patients with cancer receiving longitudinal care at Mayo Clinic Cancer Practice in the Upper Midwest. Eligible patients had ≥6 in-person visits during July 2020-October 2022, received oncology care at Mayo Clinic sites, were alive at sampling, and resided in low-BB areas defined by Federal Communications Commission data as 0 or 1 internet service provider offering <25 Mbps. We enrolled 24 participants stratified into two groups: (1) Transitioned users (TUs): adopted VTVs postpandemic (November 2022-December 2023); (2) persistent nonusers (PNUs): received exclusively in-person visits. Semistructured telephone interviews were conducted in June 2024 and thematically analyzed. RESULTS The average age of participants was 71.3 years (range, 42-88), 50% was female, and all identified as White. Three themes emerged: (1) Structural and clinical constraints—physical examinations, laboratory testing, and chemotherapy administration were viewed as requiring in-person care, whereas VTVs were perceived acceptable for routine follow-ups; (2) Skills and experience—digital literacy was generally adequate, but confidence and direct exposure to VTV distinguished TU from PNU; (3) Motivations—both groups preferred in-person care for cancer-related emotional reassurance. TU cited weather, travel burden, and proactive provider offering as adoption triggers, whereas PNU reported that VTV was rarely offered. TU focused on system-level solutions, whereas PNUs preferred individual-level resources. CONCLUSION Differential VTV adoption in low-BB settings reflected exposure, provider offering, and situational necessity rather than BB access alone. Oncology practices should consider normalizing the hybrid care model combining in-person and video appointment visits and provide tailored supports to advance equitable telemedicine. Expanding video care in oncology requires more than digital access and depends on patient experience, care context, and human connection inherent in oncology care.

Abstract Background Abdominal arterial calcification is a well-established predictor of cardiovascular events and mortality in kidney failure. Autosomal dominant polycystic kidney disease (ADPKD), a common genetic cause of kidney failure, presents with a distinct vascular profile. However, the burden of abdominal arterial calcification in ADPKD remains inadequately characterized. Clarifying these differences may improve cardiovascular risk stratification and transplant timing. Methods We conducted a retrospective cohort study of 4088 adult patients listed for kidney transplant at three Mayo Clinic sites (2005–2024). Patients were categorized by kidney failure cause: ADPKD vs. non-ADPKD. Abdominal arterial calcification was quantified on non-contrast computed tomography (CT) scans using a modified Agatston scoring method. Propensity score matching (1:1) adjusted for age, sex, race, lipid levels, left ventricular ejection fraction, dialysis exposure, coronary artery disease, neurovascular disease, and smoking history, was performed. Abdominal arterial calcification scores were compared between matched groups, and subgroup analyses evaluated abdominal arterial calcification severity across dialysis durations in ADPKD patients. Results After matching, 309 patients with ADPKD were compared with 309 non-ADPKD chronic kidney disease (CKD) controls. Abdominal arterial calcification scores were significantly lower in the ADPKD group (median: 425.3; IQR: 0.0–2033.5) than in the non-ADPKD group (median: 1256.8; IQR: 96.5–5033.8). Among ADPKD patients, abdominal arterial calcification scores increased with dialysis duration (P &lt; .001). Conclusion ADPKD patients exhibit lower abdominal arterial calcification scores than their non-ADPKD counterparts after adjusting for clinical variables. Abdominal arterial calcification progression with dialysis highlights the importance of early transplant evaluation. This study introduces a novel adaptation of coronary calcium scoring software for quantifying abdominal calcification, offering a standardized approach to vascular risk assessment in kidney transplant candidates.

Abstract Background: The PALLAS trial (ABCSG-42, AFT-05, BIG-14-03) investigates adjuvant palbociclib plus endocrine therapy (ET) versus ET alone in patients (pts) with HR+/HER2− early breast cancer. While palbociclib improves outcomes in metastatic settings, final analysis from PALLAS did not demonstrate benefit in survival outcomes from the addition of palbociclib to ET. A number of pts discontinued palbociclib before the planned 2 year duration though degree of palbociclib exposure was not associated with clinical outcomes. This analysis explores factors predictive of palbociclib early discontinuation and dose reductions, including baseline characteristics, toxicities, and patient-reported outcomes (PROs). Methods: Using the safety population of 5736 pts (2840 receiving palbociclib + ET), we assessed early palbociclib discontinuation within a competing-risks framework (competing events: progression, death). Cumulative incidence curves (Aalen-Johansen estimates) and cause-specific hazard models were used to explore associations with clinical and demographic factors (age, menopausal status, stage, race, endocrine therapy type), key toxicities (neutropenia, anemia, nausea), and baseline PROs (patient assessed quality of life [QoL], anxiety, fatigue, pain, frailty/ dependency, depression, and low income. financial difficulties). An automated model selection based on the Akaike information criterion (AIC) starting from the cause-specific hazard model incorporating all considered predictors including PROs. Results: Early discontinuation of palbociclib not due to progression or death occurred in 1171 pts (41.3%); an additional 343 pts (12.1%) stopped due to results of a futility analysis. In 108 (3.8%) and 2 (0.1%) pts treatment was discontinued due to progression or death. Median time to early discontinuation was 7.7 months in pts that discontinued treatment (median interquartile range 3.45-13.60). Very early discontinuation (≤3 months) occurred in 261 pts (9.2%). Dose reductions to 100mg and 75mg occurred in 1566 pts (55.2%) and 951 pts (33.6%) of 2840 pts, respectively. In univariable analyses, higher age, lower N-stage, and specific baseline PROs (baseline QoL, fatigue, anxiety, depression, frailty/ dependency and financial difficulties) were linked with increased risk of discontinuation. The best-fitting multivariable model identified age, nodal stage (N-stage), low quality of life (QoL), and low income as key predictors of early treatment discontinuation. Conclusions: In the PALLAS trial, our findings highlight the importance of integrating PROs into risk prediction of early treatment discontinuation. Additionally, when starting pts on oral targeted therapies in the adjuvant setting, symptom control, social work and financial counseling resources may support pts at higher risk of non-adherence. This is in line with findings from the ESMO Breast QoL analysis (Bjelic-Radisic et al.), which emphasized the added value of subjective patient-reported outcomes alongside objective clinical parameters in understanding treatment burden and adherence. Support: AFT, ABCSG, Pfizer, ECOG-ACRIN, NSABP Foundation, GBG, BIG; https://acknowledgments.alliancefound.org; ClinicalTrials.gov Identifier: NCT02513394. Citation Format: M. Vetter, A. Wiencierz, M. Gnant, D. Hlauschek, C. Kurzeder, C. Grasic Kuhar, N. Zdenkowski, E. Shinn, J. Suga, D. Egle, J. Meisel, S. Antolin-Novoa, E. Munzone, T. Haddad, S. Loibl, A. Holynskyj, C. Fesl, A. Dueck, A. DeMichele, E. Mayer, on behalf of the PALLAS groups and investigators (ABCSG, AFT, BIG,PReCOG, GBG, NSABP). Predictors of early discontinuation of adjuvant palbociclib in early HR+/ HER2- breast cancer: final analysis of the PALLAS trial integrating patient-reported outcomes [abstract]. In: Proceedings of the San Antonio Breast Cancer Symposium 2025; 2025 Dec 9-12; San Antonio, TX. Philadelphia (PA): AACR; Clin Cancer Res 2026;32(4 Suppl):Abstract nr PS3-07-14.