Citations

Objective Systemic sclerosis (SSc) is an autoimmune disease marked by immune dysregulation, leading to progressive fibrosis and multiorgan dysfunction. Autologous hematopoietic cell transplantation (autoHCT) has demonstrated superiority over conventional immunosuppression in randomized trials yet remains underused in the United States. We report outcomes following implementation of autoHCT as a standard‐of‐care strategy at our institution. Methods We performed a retrospective analysis of consecutive patients with severe SSc undergoing autoHCT between April 1, 2020, and December 31, 2023. Eligibility required progressive disease despite standard immunosuppressive therapy. Primary endpoints were overall survival (OS) and event free survival (EFS). Secondary endpoints included cumulative incidence of relapse and nonrelapse mortality (NRM), organ‐specific outcomes, and transplant‐related complications. Results Twenty‐five patients underwent autoHCT. Median age was 46 years; 80% were female. At a median follow‐up of 23 (interquartile range 16.4–31.9) months, two‐year OS was 91.67% (95% confidence interval [CI] 81.25–100.0) and EFS was 74.51% (95% CI 58.78–94.45). Two‐year cumulative incidence of relapse was 23.93% (95% CI 4.27 –43.59), and NRM was 8.33% (95% CI 2.97–19.64). Significant improvement in Modified Rodnan Skin Score was observed at day +90 and +180 ( P < 0.05), whereas pulmonary function stabilized. Infectious complications occurred in 56% of patients, primarily viral reactivations. Conclusion Implementation of autoHCT for severe SSc in a multidisciplinary care model was associated with favorable survival and meaningful improvement in skin disease, with acceptable toxicity. Earlier referral and optimization of conditioning strategies may further reduce relapse and treatment‐related morbidity.

ABSTRACT The recently published BLAST clinical risk model for chronic myelomonocytic leukemia (CMML) and its molecular version (BLAST‐Mol) differentiate low, intermediate, and high‐risk groups. The objective of the current retrospective study was to examine the survival impact of allogeneic stem cell transplant (ASCT) in a consecutive series of Mayo Clinic patients ( n = 775; 68% males, median age 71 years) with CMML, overall and adjusted for baseline BLAST/BLAST‐Mol risk categories. At a median follow‐up of 77 months, 151 (20%) patients underwent ASCT. Overall survival (OS) was longer in the ASCT compared to the non‐ASCT cohorts (median 77 vs. 28 months; p < 0.01). The significant difference in OS between the ASCT and non‐ASCT cohorts was retained after adjusting for BLAST clinical risk groups: high‐risk (median 50 vs. 14 months; p < 0.01), intermediate‐risk (81 vs. 28 months; p < 0.01), and low‐risk (111 vs. 65 months; p = 0.04), respectively. The same was mostly the case when OS comparison was adjusted for BLAST‐Mol with respective p values of < 0.01, < 0.01, and 0.08, respectively. Time‐dependent cox models confirmed the favorable survival impact of ASCT in the BLAST/BLAST‐Mol high‐ and intermediate‐risk groups. The current study highlights the benefit of ASCT for BLAST/BLAST‐Mol high‐ and intermediate‐risk groups in CMML and its potential to overcome the adverse impact of some high risk cytogenetic or molecular abnormalities. These observations support the early use of ASCT in CMML, ideally before BT and regardless of genetic characteristics.

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 Large Language Models (LLM) are being widely adopted into the medical field for their impressive ability to analyze and summarize large amounts of text data. These models enable clinicians and researchers to extract meaningful insights from complex datasets and may assist with decision making. Here we present our workflows and application of LLM for the interpretation and summarization of clinical data related to CAR-T cell therapy. Using an LLM (Gemini 2.5 pro) in the Google Cloud Computing (GCP) environment, two applications were developed to analyze CAR-T cell therapy clinical data: 1) extracting and summarizing CRS and ICANS event-related data to streamline the compliance team workflow, and 2) identifying features available at time of CAR-T infusion able to classify patients into high- or low-monitoring needs 14 days post CAR-T. Patient data (vitals, labs, hematology notes, and EKGs) were extracted from the electronic medical record (EMR) using Google BigQuery into SQL tables in GCP. For each application, relevant data fields were retrieved, formatted into JSON objects, and embedded in the LLM prompt for context-aware processing. Both applications have undergone iterative prompt engineering after analyzing the LLM output against ground truth data in the EMR. For the application extracting and summarizing CRS and ICANS events, the LLM was optimized on Mayo Clinic Rochester data. When compared to the IEC compliance database, the LLM achieved 100% accuracy and F1 score for CRS events, and 96% accuracy and 82% F1 score for ICANS events. The match rate for CRS and ICANS grades were 83% and 89% respectively. We applied the same LLM to Mayo Clinic Arizona (MCA) and Mayo Clinic Florida (MCF) cases, who document clinical notes and toxicity flowsheet differently, and achieved an accuracy (MCA: 93%, MCF:93%) and F1 score (MCA: 96%, MCF: 96%) for CRS and accuracy (MCA: 81%, MCF:82%) and F1 score (MCA: 76%, MCF: 75%) for ICANS. LLM was able to capture events missed by manual reviews. For most of the discrepancies where compliance team final adjudication is needed, LLM will be updated to flag discrepancies for review by the compliance team. For the application related to the monitoring needs 14 days post CAR-T, the LLM identified 5 categories predictive of high or low monitoring needs post CAR-T infusion (disease status, inflammatory and tumor burden markers, hematologic status, renal function and performance status). Our model achieved a sensitivity of 85.7%, specificity of 23.8%, and F1 score of 65.5% for our first cohort, compared with data extracted by the LLM from the EMR. For our second cohort, with demographics statistically similar to cohort 1 and using the same 5 categories, the LLM achieved a sensitivity of 83.3%, a specificity of 28.6%, and F1 score of 65.4%. Our workflow and applications of LLM’s provide examples and guidance to others interested in applying LLM’s for clinical and research applications. Citation Format: Emmanuel Contreras Guzman, Matthew Jankowski, Andre De Menezes Silva Corraes, Malvika Gupta, Monica L. Shaw, Madiha Iqbal, Talal Hilal, Saurabh Chhabra, Ricardo Daniel Parrondo, Jody K. Mclean, Kim R. Riester, Kayla Joseph, Melinda Tan, Holly Ross, Cleyonia Barnett, Sylvia Carter, Semy Girmay, Rachel Wolan, Milana Ramsey, Christian Downhour, Kristy Morgan, Shae Sibley, Erica Rushing, Lucy Holmes, Allison Burgstahler, Stephen M. Ansell, Hassan Alkhateeb, Matthew Hathcock, Ramona Bruno, Allison C. Rosenthal, Hemant Murthy, Patrick B. Johnston, Jonas Paludo, Yi Lin. Applications of large language models to CAR-T cell therapy clinical data using Google cloud computing [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 2740.

Abstract Introduction: Older adults (OAs) with classic Hodgkin lymphoma (cHL) have inferior survival compared with younger patients (pts). NAVD has been widely adopted in clinical practice for frontline (1L) treatment of OAs with advanced stage cHL based on the subset analysis of S1826 study (Rutherford et al, JCO 2025) showing a 1-year progression-free survival (PFS) of 93% and 1-year overall survival (OS) of 95% after NAVD (n = 50) which remained durable on longer-term follow up. Another phase 2 study (Torka et al, JCO 2025) showed that NAVD is a highly effective and well-tolerated 1L regimen in OAs with cHL (n=40) across a wide range of geriatric impairments. Adverse events (AEs) and efficacy have not been reported in OAs treated with NAVD outside of a clinical trial. Hence, we sought to evaluate safety profile and efficacy outcomes of OAs with cHL treated with 1L NAVD in a real-world setting (RWS). Methods This is a multicenter retrospective cohort study of adults (≥18 years) with cHL treated with 1L NAVD between 2023 and 2025 at 20 US academic sites. Baseline characteristics and outcomes of pts ≥60 years were evaluated as a pre-planned subset analysis. The safety evaluable cohort received at least 1 cycle of NAVD and included pts who had not yet completed treatment. The efficacy evaluable cohort had completed 6 cycles of treatment including end of treatment (EOT) PET-CT and included pts who intended to complete treatment but died or discontinued due to progressive disease or AEs. The primary endpoint was EOT overall response rate (ORR). Secondary endpoints included EOT complete response rate (CRR), PFS and OS. PFS and OS were analyzed using the Kaplan Meier method. Results Among 311 pts, 81 were OAs (26%). Median age of the OA cohort was 70 (range 60-88) yrs, 65% male, 84% Caucasian, 71% nodular sclerosis subtype, 58% stage 4 disease, 59% B symptoms, 14% bulky disease (&gt;7.5 cm), 69% extranodal sites, 41% EBV positive, 54% hypoalbuminemia, 49% IPS ≥ 4 and10% had an autoimmune disease. G-CSF was given in 81% pts. All 81 pts were evaluable for safety; 74% experienced a grade 3+ (≥G3) AE, 54% had ≥G3 hematological AE, 48% had ≥G3 neutropenia, 17% had febrile neutropenia. Infection rate was 28% with 10% ≥G3, neuropathy rate was 23% with 4% ≥G3. One infusion reaction was noted. Treatment related hospitalizations rate was 23% with median duration of 7 (range 1-16) days. There were 24 immune related AEs (IrAE) (30%) of which 5 were ≥G3. Most common IrAE was hypothyroidism (n=5), followed by inflammatory arthritis (n=4), pneumonitis (n=2, ≥G3, n=1), hepatitis (n=2, both ≥G3), adrenal insufficiency (n=2, ≥G3, n=1), colitis (n=2), and rash (n=2). One patient each had autoimmune neutropenia, sarcoidosis of lung/skin and myocarditis (≥G3). Overall, 15% pts required steroids with resolution of IrAEs in 56% cases, 30% (n=7) pts required continued therapy (levothyroxine in 4 pts, steroids in 3 pts, medical tx for heart failure in 1 pt). Treatment was interrupted in 22%, reduced in 22%, and discontinued in 23% pts. Nivolumab was discontinued in 14% pts. Among all pts (n=81), 81% had an interim PET-CT after 2-4 cycles. The ORR and CR rate at interim PET-CT were 100% and 81%, respectively. In the efficacy evaluable pts (n=52; 24 still on therapy), the EOT ORR and CRR were 93.2% and 84% in OAs compared to 96.8% and 91.7% in pts &lt;60yrs, respectively. At a median follow up of 10.2 mo (range 0.27-28.52), the 1-yr PFS was 90.6% (95% CI: 82.7%-99.3%) in OAs and 95.5% (95% CI: 91.6%- 99.6%) in pts &lt;60 yrs (p=0.044). 1-yr OS was 97.5% (95% CI: 94.1-100%) and not evaluable in pts &lt;60yrs (p=0.017). None of the baseline features were predictive of response, additional analysis to understand impact on AEs and survival is ongoing. Among the 5 pts with progression/relapse, 4 were primary refractory. 4 pts received 2nd line (2L) therapy.79 pts are alive at data cut off, 2 deaths occurred- 1 infection-related and other unknown; both after the 1st cycle. Conclusions In this largest RWS cohort of OAs treated with NAVD we showed comparable response rates, AEs and 1-year survival outcomes to those in the pivotal S1826 trial. Notably, rates of ≥G3 AEs including infections, neuropathy and IrAEs remained low and manageable. Although survival significantly improved with NAVD compared to historical data, outcomes of OAs remained inferior compared to pts &lt;60 yrs. Our data reinforces the use of NAVD as the preferred 1L option for OAs with advanced stage cHL.

Abstract Introduction: The real-world outcomes in patients (pts) with PCALCL in the era of targeted therapies like Brentuximab Vedotin (BV) is not well defined due to lack of large multicenter studies. We conducted a multicenter retrospective analysis (RWA) to assess patient and disease characteristics, treatment patterns, survival outcomes and impact of novel therapies in this rare type of cutaneous T cell lymphoma (CTCL). Methods: The analysis included 167 adult (≥18 years) patients (pts) with PCALCL across 9 academic institutions in the United States diagnosed between 01/2012 to 06/2022. The study was approved by the Institutional Review Boards at the respective sites. Demographic and disease factors were summarized using descriptive statistics. Overall survival (OS) and relapse-free survival (RFS) were estimated using Kaplan-Meier method and compared via log rank tests. Prognostic models included factors such as age, sex, race, performance status (PS), disease stage, type of initial lesion, presence of B symptoms, previous history of lymphomatoid papulosis and prior transplant. Prognostic factors for survival were assessed using both univariable and multivariable Cox proportional hazard models. Results: The median age at diagnosis was 61 (range 18-93) years. The majority of pts were male (55%) and white (82%), with good PS as indicated by an ECOG 0-1 (71%). The initial skin presentation consisted of tumors in 62% of the pts, while 34% presented with plaques or patches. Notably, no pts presented with erythroderma. Most pts underwent PET scan for staging at initial diagnosis (83%) with the majority having early-stage (IA-IIA) disease (86%). Furthermore, palpable lymph nodes (11%) and the presence of B symptoms (4%) were rare at diagnosis, and no pts had blood involvement. The most common sites of involvement were extremities (33%) followed by the head and neck (H&N) and trunk (31% each). Immunophenotyping revealed CD4 positivity in 59% of pts and CD8 positivity in 25%. The T cell receptor (TCR) rearrangement was positive in 28% of pts, though it was not completed in the majority of cases (72%). Most common initial treatments included localized radiation (61%) and surgical excision (19%). A small subset of pts received frontline systemic chemotherapy regimens such as cytotoxic chemotherapy (11%), BV (8%) and oral methotrexate (MTX) (8%). Approximately 7% of the pts had a stem cell transplant. Overall response rate (ORR) for radiation, oral MTX, BV and cytotoxic chemotherapy were 78% (CR:78% 74/100), 42% (CR:63% 6/12) and 39% (CR:67% 6/12), 89% (CR: 88% 15/18) respectively. At a median follow-up of 3.8 years (range 0.04-10.23), the median RFS and OS were 2.7 years (95% CI:1.86, 3.43) and 12 years (95% CI:10.6- NA) respectively. The estimated 3- and 5-year RFS are 46% (95% CI:0.38, 0.55) and 37% (95% CI:0.28, 0.46) respectively. The estimated 3- and 5-year OS were 89% (95% CI:0.82, 0.93) and 82% (95% CI:0.73, 0.88) respectively. At the time of the last follow-up, 79% were alive, while 21% were deceased. The cause of death (COD) was unknown in 50% of the cases and only 10% (3/of deaths were attributed to lymphoma. Other known CODs included infection (20%) and second malignancies 7%. On univariate analysis (UVA), age (p=.007), female sex (p=.04), ECOG PS 1-2 compared to 0 (p=.007) and prior transplant (p=.009) predicted for worse RFS. On multivariate analysis (MVA), only ECOG PS 1-2 (HR 2.31, 95 CI:1.06, 1.18, p=.009) and prior transplant (HR 5.38, 95 CI:2.30, 12.57, p=.0001) had a significant impact on RFS. Age and presence of B symptoms were strong predictors of OS on both UVA (age p=&lt;.0001; B symptoms p=&lt;.0001) and MVA (age: HR 1.12, 95 CI:1.06, 1.18, p=&lt;.0001; B symptoms: HR 16.48, 95 CI: 3.69, 73.60, p=.0002). However, the impact of B symptoms should be interpreted with caution as only 4% of pts presented with this at baseline. On UVA, each one-year increase in age was associated with an 8.5% rise in the risk of death. ECOG PS 1-2 was associated with worse OS on univariate analysis (HR 2.62, 95% CI 0.99, 6.93, p=.05), but was not significant on MVA (HR 1.05, 95% CI 0.368, 2.974, p=.93). Conclusions: In this large RWA of PCALCL, excellent long-term survival was observed with predominantly skin directed frontline therapies. The use of systemic treatments, including BV, was infrequent as first line therapy. Older age and poor PS were significant predictors for reduced survival.

Abstract Introduction: Among Non-Hodgkin lymphomas (NHL), DLBCL is the most prevalent subtype (~30% of diagnoses). First-line (1L) chemoimmunotherapy cures many patients (pts), but 30-40% will relapse. Prognostic and predictive biomarkers are needed to identify pts refractory to 1L therapy or at high risk of relapse, enabling timely intervention and improved outcomes. This study evaluated tumor-informed WGS-based longitudinal ctDNA monitoring in a real-world DLBCL cohort. Methods: We retrospectively analyzed ctDNA data from 49 pts with DLBCL. Plasma samples were collected before, during, and at the end of 1L therapy (EOT, defined as ± 21 days from the last infusion (preferred when available) or ± 14 days from post-treatment PET imaging) and during surveillance/subsequent treatments. A WGS-based tumor-informed assay (Signatera™ Genome, Natera, Inc.) was used for ctDNA detection and quantification. The association of ctDNA dynamics with event-free survival (EFS) was evaluated using Cox regression analysis, restricted to pts completing at least 5 cycles of 1L therapy. Results: The median age of the cohort was 62 years (range: 56-74), and median follow-up was 22 months (range: 14-30). Pre-treatment ctDNA-positivity rate was 100% (31/31). A total of 19 pts achieved ctDNA clearance during 1L therapy (early clearance within 3 cycles, n=5; late clearance between cycle 4 and EOT, n=14). Pts with no clearance or ctDNA-positivity at EOT (n=7) had significantly inferior EFS compared to those achieving ctDNA clearance (HR 8.04, 95%CI: 1.87-34.62, p=0051). On further stratifying the clearance group and comparing with no clearances, pts with early clearance had superior outcomes (HR 13.22, 95%CI: 1.48-1741.94, p=0.0166), relative to late clearances (HR 5.65, 95%CI 1.46–25.16, p=0.0129). Notably, all 5 pts with early ctDNA clearance remained serially negative and relapse-free. Of the 49 pts, 9 proceeded to chimeric antigen receptor T-cell therapy (CAR-T). Among 6 of these pts with available ctDNA results pre and post therapy, all 3 who stayed ctDNA-positive after CAR-T relapsed (1.3, 2, and 4.5 months post-infusion); 1 pt with pre- and post-CAR-T ctDNA-negativity and 2 pts with ctDNA clearance post-CAR-T remained relapse-free for 9.6, 15.9, and 22.4 months, respectively. Taken together, the PPV and NPV for a single ctDNA time point post CAR-T infusion were 100% for predicting long-term clinical outcomes. Conclusions: Our data support longitudinal ctDNA monitoring as a valuable prognostic and predictive biomarker in DLBCL. ctDNA clearance, particularly early clearance within the first 3 cycles of 1L therapy, is associated with improved pt outcomes. Longitudinal ctDNA monitoring and dynamics can enable identification of high-risk pts who do not clear ctDNA and may benefit from earlier referral for CAR-T. Furthermore, ctDNA monitoring pre- and post-CAR-T infusion is predictive of treatment response and can identify pts at high risk of relapse.