Karam, Dhauna

1089 Background: T-DXd has become an important treatment option in mBC and other malignancies. Interstitial lung disease/pneumonitis (ILD) occurred in 10-14% of pts in the DESTINY-Breast trials (0-2% G5 ILD), and with potential lower incidence/severity in earlier line settings (Krop et al, ASCO 2023). We previously reported the Mayo Clinic Rochester, MN experience with T-DXd related ILD in mBC (Hoppenworth et al, ASCO 2024). Here, we expand the data to include patients treated at all locations of the Mayo Clinic Enterprise. Methods: We retrospectively identified pts with mBC who received ≥1 dose of T-DXd across the Mayo Clinic enterprise (Rochester, MN; Mayo Clinic Health System locations in MN/WI; Scottsdale, AZ; and Jacksonville, FL) between July 2022-December 2023. Demographic, mBC characteristics, and pulmonary clinical variables were abstracted from the clinical records. Data were summarized using descriptive statistics. Diagnosis of ILD was determined by treating clinicians, and severity was approximated to CTCAE V5 based on clinical documentation. Results: 252 pts with mBC received T-DXd during the study period. The majority were Caucasian (86%) and female (99%) with a median age of 63. 91 pts (36%) were current/formers smokers and 97 (39%) had prior pulmonary comorbidities. The majority had HER2 low (155, 62%) and HR positive (164, 65%) mBC. 35 (14%) developed any grade ILD [G1: 6 (17%), G2: 13 (37%), G3: 3 (8.6%), G4: 3 (8.6%), G5: 10 (29%)], with 15 (43%) presenting with ≥G3. 29 (83%) presented with at least 1 symptom (cough or SOB). Among those with previous pulmonary toxicity, 4 (33%) had previous pneumonitis in the ILD cohort. The median prior lines of all therapies (including endocrine therapy) were 5, with a median of 3 prior lines of chemotherapy in both the ILD (range 1-13) and non-ILD cohorts (range 1-13). Median onset to any grade ILD was 7 cycles. 20 pts (57%) received steroids for ILD. 14 (40%) had a bronchoscopy, all had a CT chest, 16 (46%) were hospitalized, 7 (20%) were intubated and 1 (3%) had a lung biopsy. Pts with G5 ILD had a median of 3 lines of chemo and a median of 8 cycles prior to onset of ILD, compared to 3 lines of chemo and a median of 7 cycles for those with G1-4 ILD. G5 pts were all Caucasian females, 5 were former smokers, 5 were non-smokers, 1 had a history of pneumonitis. T-DXd was rechallenged in 4 pts (G1-2 ILD) without ILD recurrence. Conclusions: In this retrospective case series,14% of pts treated with T-DXd experienced any grade ILD (4% G5) which is in alignment with the rate observed in the pivotal DESTINY-Breast trials, though with higher rates of G5 toxicity. Among those with ILD, increased lines of therapy were not associated with increased risk. Further research is needed to correlate risk.

1652 Background: Tarlatamab is a bispecific T-cell engager targeting DLL3 that has shown promise as a therapy in small cell lung cancer. Administering tarlatamab requires careful consideration of immune-related adverse events (AE), including cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS). Prescribing information recommends patients to be monitored for 22-24 hours in an appropriate healthcare setting for cycle 1 (C1), days 1 and 8. At Mayo Clinic in Rochester MN (MCR), tarlatamab is initially administered in a hospital-based outpatient (HBO) setting utilizing an innovative remote patient monitoring system (RPM). In this study, we describe our RPM process and patient outcomes thus far. Methods: We retrospectively reviewed records of patients treated with tarlatamab from August through December 2024. All patients received tarlatamab in the HBO setting and were enrolled into RPM for C1, days 1–10. Patients attended daily HBO visits on days 1–3 and 8–10 of C1 and were required to stay within 30 minutes of the hospital with a 24-hour caregiver for 48 hours following infusion days in C1-2. Data on patient characteristics, frequency of RPM alerts, escalations, rate of CRS & ICANS, and need for hospitalizations were reported using descriptive metrics. Results: As part of RPM, patients are provided with a kit containing preconnected Bluetooth-enabled devices to measure vital signs (VS), including blood pressure (BP), heart rate (HR), temperature (T), and pulse oximetry (SpO2). The kit also includes a cellular-enabled tablet for electronic ICANS questionnaires, which upload directly into our electronic medical record system. Patients are required to log VS four times daily, monitored in real-time by a centralized virtual RPM nursing (RN) team. Embedded decision trees trigger alerts, prompting the RN team to contact patients and follow care pathways for escalations as needed. Among the 16 patients treated, the median age was 68 years, and the median ECOG PS was 1. During the 10-day RPM period, a total of 2,233 VS entries were recorded. Of these, 88% (14/16) of patients had alerts triggered, with a median of 2 alerts per patient. Alerts were mostly for out-of-range systolic BP (56%), HR (56%), and T (25%), with none for SpO2. The RN team escalated alerts in 50% (8/16) of the patients. Overall, 38% (6/16) of patients were managed entirely in the HBO setting. Among the 63% hospitalized, 56% had CRS limited to grade (G) 2, and 31% had ICANS limited to G3. Two patients were hospitalized for other indications. The mean length of stay was 2.6 days, with no ICU admissions. Conclusions: Our experience shows that frequent monitoring required with tarlatamab can be safely and effectively executed in an outpatient setting with the utilization of an RPM system. It can potentially minimize the burden of hospitalizations for patients and the healthcare system.

e20120 Background: In May 2024, the FDA approved tarlatamab, a Delta-like ligand (DLL3)/CD3-targeted bispecific T-cell engager, for patients with extensive-stage small cell lung cancer (SCLC) with disease progression following platinum-based chemotherapy and at least one other prior line of therapy. We aim to evaluate the real-world outcomes of agent. Methods: We conducted a retrospective multi-site single center analysis of adult patients who received tarlatamab at Mayo clinic sites including Arizona, Florida, Iowa, Minnesota, and Wisconsin. Data analysis was performed with Blue Sky statistics version 10.4. Results: Twenty patients with a median age 67 years (range 43-76) were included. Patients were predominantly women (55%) and all had a history of tobacco use. Metastatic disease commonly involved liver (55%) and CNS (60%). Majority (90%) had received prior PDL-1 therapy. 25% (5/20) of patients received prior gamma knife and in addition 10% (2/20) received whole brain radiation treatment in our cohort. Median time from CNS radiation and tarlatamab initiation was 4 months (range 3-28). Other characteristics, outcomes, and toxicity are presented in Table 1. Cytokine release syndrome (CRS) Grade (G) 1 was observed in 45% patients. G 2, 3 and 4 CRS were observed in 5% patients respectively. G 1 CRS was managed with acetaminophen initially followed dexamethasone 10mg or methylprednisone 1g if no improvement in 24 hours. Tocilizumab was used 20% patients for G 1,2,3 and 4 CRS depending on clinical course. Immune effector cell-associated neurotoxicity (ICANS) G 1 occurred in 10% patients, followed by G 2 in 15% and G 3 in 5% patients. ICANS was managed in a multidisciplinary fashion. All patients had resolution of CRS and ICANS. Conclusions: In this study investigating the real-world outcomes and toxicity of tarlatamab, a higher incidence of ICANS was observed than that reported in the DeLLphi-301 trial. The association between presence of CNS metastatic disease, prior CNS radiation and incidence of ICANS needs to be explored further. Mayo Clinic report of tarlatamab real world outcomes and toxicity. Patient Characteristics, Tarlatamab Outcomes and Toxicity Mayo Clinic Report DeLLphi-301 trial- Part 1 & 2 DeLLphi-301 trial- Part 3 ECOG no. (%) 2-4 4 (20) 0 (0) 0 (0) Metastatic Disease no.(%) 19 (95) 98 (98) 32 (94) Median no. of previous lines of therapy (range) 3 (2-4) 2 (1-6) 2 (2-6) Objective Response (%) 30% 40% CRS no (%) 12 (60) 49 (49) 19 (56) ICANS no (%) 6 (30) 7 (7) 4 (12) Neutropenia Grade 3 no (%) 2 (10) 6 (6) 2 (6) Fatal CRS, ICANS or Neutropenia 0 (0) 0 (0) 0 (0)

AbstractIntroductionStructured data capture requires defined languages such as minimal Common Oncology Data Elements (mCODE). This pilot assessed the feasibility of capturing 5 mCODE categories (stage, disease status, performance status (PS), intent of therapy and intent to change therapy).MethodsA tool (SmartPhrase) using existing and custom structured data elements was Built to capture 4 data categories (disease status, PS, intent of therapy and intent to change therapy) typically documented as free‐text within notes. Existing functionality for stage was supported by the Build. Participant survey data, presence of data (per encounter), and time in chart were collected prior to go‐live and repeat timepoints. The anticipated outcome was capture of >50% sustained over time without undue burden.ResultsPre‐intervention (5‐weeks before go‐live), participants had 1390 encounters (1207 patients). The median percent capture across all participants was 32% for stage; no structured data was available for other categories pre‐intervention. During a 6‐month pilot with 14 participants across three sites, 4995 encounters (3071 patients) occurred. The median percent capture across all participants and all post‐intervention months increased to 64% for stage and 81%–82% for the other data categories post‐intervention. No increase in participant time in chart was noted. Participants reported that data were meaningful to capture.ConclusionsStructured data can be captured (1) in real‐time, (2) sustained over time without (3) undue provider burden using note‐based tools. Our system is expanding the pilot, with integration of these data into clinical decision support, practice dashboards and potential for clinical trial matching.

Background: The association of in-hospital blood pressure variability (BPV) with readmission or survival after acute ischemic stroke (AIS) have not been fully investigated. We evaluated the relationship between intra-individual systolic blood pressure (SBP) variability (SBPV) for the duration of hospitalization, mean SBP, maximal SBP reached and readmission-free survival, all-cause readmission, or all-cause mortality to one year after hospitalization for a new acute ischemic stroke (AIS). Methods: We measured mean SBP, maximal SBP reached, and SBPV as quartiles of standard deviations (SD) and coefficient of variation (CV) across a median of 16 SBP readings per patient, every 4 hours, for the duration of hospitalization in 862 patients (age (mean±SD) 75±15 years, 55% females) with AIS admitted from 2003 to 2018, followed-up to 2019. Results: At 1 year, readmission-free survival was 51%, readmission rate was 39%, and mortality was16%. The mean ± SD in mmHg for SBP 146±20, maximal SBP reached 163±26, SD 16±6, and CV 10±5. Adjusted hazard ratios for the highest vs. lowest quartiles of SD or CV were 1.44 (95% confidence interval 1.04 - 1.81) or 1.29 (0.94 - 1.64) for readmission-free survival; 1.29 (0.9 - 1.78) or 1.29 (0.94 - 1.78) for readmission; 1.15 (0.71 - 1.87) or 0.86 (0.55 - 1.36) for mortality. The results remained consistent with mean SBP. However, maximal SBP was inversely associate with readmission-free survival. The accompanying figure shows Kaplan-Meier survival analysis of cumulative incidence of three outcomes by quartiles of SD (upper panel) and CV (lower panel) of SBP. Conculsions: Among patients hospitalized with a new AIS, higher in-hospital SBPV was associated with no decrease in readmission-free survival or increase in rates of readmission or mortality to 1 year. We recommend less emphasis on treating blood pressure and more focus on guideline-directed high-value care for the management AIS patients.

Abstract Introduction: Patients at extremes of age may be particularly vulnerable to poor physical and mental health after treatment for breast cancer; we examined factors associated with poor health in older breast cancer survivors. Methods: The Mayo Clinic Breast Disease Registry (MCBDR) is a prospective longitudinal cohort study that enrolls Mayo Clinic Rochester patients diagnosed with stage 0-4 breast cancer (BC). In 2020, we mailed a survey to 1,273 MCBDR participants aged 77+. Three PROMIS-10 items were used to assess overall health, mental health, and physical function. Self-reported comorbidities were also collected. Multivariate logistic regression analysis was used to identify significant (p<0.05) predictors of overall health, mental health, and physical function. Independent variables included demographics, clinical characteristics, and comorbidities. Results: 848/1273 MCBDR participants (67%) responded, 842 reporting their overall health. Median age at survey return was 82 years (range 77-100), and the median time since cancer diagnosis was 12 years. Excellent or very good overall health, mental health, and physical function were reported by 48%, 63.5%, and 77.1%, respectively. Older age was associated with poorer self-reported overall health, as were heart disease, diabetes, and lung disease, reported by 18%, 14%, and 7%, respectively (p<0.05 for all; see Table). Only heart disease was statistically significantly associated with poorer mental health (p=0.03). Physical function was reportedly better in survivors without a history of diabetes, stroke, or lung disease (p<0.05 for all), and in those who were closer to their cancer diagnosis (p=0.03). Tumor characteristics were not associated with overall health, mental health, or physical function. Conclusions: Comorbidities are common and impact self-reported overall health, mental health, and physical function in older breast cancer survivors. Table: Multivariate logistic regression model for overall health Overall health self-reported as excellent or very good No Yes Total p-value (N=437) (N=405) (N=842) Age at survey (years) <.001 Mean (SD) 82.8 (4.22) 81.7 (3.85) 82.3 (4.08) Median (range) 82.0 (77.0, 96.0) 81.0 (77.0, 100.0) 82.0 (77.0, 100.0) Years from cancer diagnosis to survey 0.708 Mean (SD) 12.1 (5.16) 11.8 (5.47) 11.9 (5.31) Median (range) 12.2 (3.1, 36.9) 11.5 (3.1, 36.4) 12.0 (3.1, 36.9) T stage T2 or higher, n (%) 0.276 No 357 (81.7%) 337 (83.2%) 694 (82.4%) Yes 80 (18.3%) 68 (16.8%) 148 (17.6%) N stage N1 or higher, n (%) 0.185 No 376 (86.0%) 339 (83.7%) 715 (84.9%) Yes 61 (14.0%) 66 (16.3%) 127 (15.1%) M stage M1, n (%) 0.313 No 434 (99.3%) 404 (99.8%) 838 (99.5%) Yes 3 (0.7%) 1 (0.2%) 4 (0.5%) Race, n (%) 0.460 Non-White 13 (3.0%) 8 (2.0%) 21 (2.5%) White 424 (97.0%) 397 (98.0%) 821 (97.5%) Heart disease, n (%) <.001 No 334 (76.4%) 353 (87.2%) 687 (81.6%) Yes 103 (23.6%) 52 (12.8%) 155 (18.4%) High blood pressure, n (%) 0.376 No 168 (38.4%) 188 (46.4%) 356 (42.3%) Yes 269 (61.6%) 217 (53.6%) 486 (57.7%) Stroke, n (%) 0.195 No 407 (93.1%) 392 (96.8%) 799 (94.9%) Yes 30 (6.9%) 13 (3.2%) 43 (5.1%) Diabetes, n (%) <.001 No 355 (81.2%) 370 (91.4%) 725 (86.1%) Yes 82 (18.8%) 35 (8.6%) 117 (13.9%) Lung disease, n (%) 0.023 No 394 (90.2%) 386 (95.3%) 780 (92.6%) Yes 43 (9.8%) 19 (4.7%) 62 (7.4%) Liver disease, n (%) 0.345 No 425 (97.3%) 401 (99.0%) 826 (98.1%) Yes 12 (2.7%) 4 (1.0%) 16 (1.9%) Kidney disease, n (%) 0.240 No 408 (93.4%) 392 (96.8%) 800 (95.0%) Yes 29 (6.6%) 13 (3.2%) 42 (5.0%) Citation Format: Dhauna Karam, Robert A. Vierkant, Shawna Ehlers, Rachel A. Freedman, Nicole Larson, Charles L. Loprinzi, Fergus Couch, Janet Olson, Kathryn J. Ruddy. Physical function, mental health, and overall health of older breast cancer survivors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5262.