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Abstract Background: IgG4-related disease (IgG4-RD) is a rare, immune-mediated fibroinflammatory condition characterized by tissue infiltration with IgG4-positive plasma cells. While solid organ involvement is well documented, data on hematologic manifestations and associated outcomes remain limited. Understanding hematological burden and real-world treatment patterns is essential to guide comprehensive management. Methods: We conducted a multicenter, retrospective cohort study using the TriNetX Research Network, comprising electronic health records from multiple U.S. healthcare systems. Adults (≥18 years) with a diagnosis of IgG4-RD (ICD-10 codes) were included. Patients with a prior diagnosis of hematologic malignancy were excluded. Demographic characteristics, hematologic manifestations, treatment patterns, and overall mortality were assessed. The median follow-up duration was 519 days. Results: A total of 2,596 patients with IgG4-RD were identified, of whom 554 (21.3%) exhibited at least one hematologic manifestation. The mean age was 58.1 ± 15.9 years; 53% were male (n=1,379), and 57% were White (n=1,492). Hypertension was the most common comorbidity (44%, n=1,136). Among those with hematologic involvement, key manifestations included lymphadenopathy (n=605, 23.3%), hepatomegaly (n=114, 4.4%), splenomegaly (n=73, 2.8%), eosinophilia (n=71, 2.7%), pancytopenia (n=31, 1.2%), hypergammaglobulinemia (n=71, 2.7%), and monoclonal gammopathy (n=86, 3.3%). Regarding outcomes, 127 of 2,596 patients (4.9%) died during the follow-up period. Among those with hematologic manifestations, 36 of 554 (6.5%) died, indicating a numerically higher mortality rate in this subgroup. Treatment data revealed that all patients received corticosteroids as initial therapy. Additionally, 531 patients (20.4%) received steroid-sparing immunosuppressants. The most used agents included rituximab (6%), azathioprine (6%), mycophenolate mofetil (5%), and methotrexate (3%). Conclusion: In this large, real-world cohort of patients with IgG4-RD, hematologic manifestations were observed in over one-fifth of patients and were associated with a numerically higher mortality rate. Lymphadenopathy was the most common hematologic feature. Despite the widespread use of corticosteroids, a substantial proportion of patients required steroid-sparing agents. These findings highlight the hematologic complexity of IgG4-RD and underscore the need for multidisciplinary management and prospective studies focused on hematologic outcomes.

Abstract Introduction: Patients with triple-class exposed (TCE) relapsed/refractory multiple myeloma (RRMM) have historically experienced poor clinical outcomes, prompting the development of novel therapeutic options. Idecabtagene vicleucel (ide-cel) was the first chimeric antigen receptor (CAR) T cell therapy approved for this population, while teclistamab became the first approved bispecific antibody. Both target B-cell maturation antigen (BCMA) and are increasingly used in real-world (RW) settings. Most comparative evidence to date is derived from single-arm clinical trials with cross-trial adjustments. RW studies offer an opportunity to directly compare these therapies and assess their relative effectiveness in routine clinical practice. Methods: We conducted a comparative effectiveness analysis of ide-cel and teclistamab in patients with TCE RRMM using RW data from the United States Flatiron Health electronic health record-derived, deidentified database (January 2011 to April 2025 data cut). Adults who received either index therapy at any line of treatment after becoming TCE (ie, previously exposed to an immunomodulatory agent, a proteasome inhibitor, and an anti-CD38 monoclonal antibody) were included. Exclusion criteria were prior exposure to CAR T cell therapy, bispecific antibodies, or belantamab mafodotin; absence of index treatment; or lack of post-index follow-up. Index dates (T0) represent the date of infusion for ide-cel and the start of treatment for teclistamab. Seventeen prognostic covariates were selected a priori based on published rankings and used to balance treatment groups via inverse probability of treatment weighting (IPTW) with average treatment effect weights. Cox proportional hazards models were used to estimate unadjusted and IPTW-adjusted HRs with 95% CIs for progression-free survival (PFS) and overall survival (OS). As the ide-cel cohort only included infused patients, additional analyses were performed to emulate a real-world intention-to-treat population given the potential immortal time bias (patients in the ide-cel cohort were required to survive between apheresis and infusion). Specifically, patients in the teclistamab cohort who died within the first 24 days (median turnaround time for ide-cel manufacturing in United States in 2024) were excluded and 2 scenarios were performed to re-align T0 based on this 24-day period (either shifting teclistamab T0 forward or ide-cel T0 backward). Lastly, sensitivity analyses assessed differences in restricted mean survival time (dRMST) at 12 and 24 months. Results: A total of 281 patients met the inclusion criteria (ide-cel, N=106; teclistamab, N=175), with median follow-up of 22.4 and 13.7 months, respectively. IPTW adjustment balanced all covariates between groups (effective sample size: ide-cel, n=68; teclistamab, n=135). Adjusted analyses showed improved PFS with ide-cel versus teclistamab (HR, 0.67; 95% CI, 0.47–0.97), with median PFS of 11.3 versus 6.5 months. OS was also improved with ide-cel (HR, 0.59; 95% CI, 0.35–0.98); median OS was not reached in either group due to insufficient follow-up. There was a consistent trend of HRs favoring ide-cel versus teclistamab for both PFS and OS in both scenario analyses addressing the potential immortal time bias. Further, sensitivity analyses using dRMST confirmed statistically significant improvements in both PFS and OS with ide-cel across all scenarios at all time points evaluated. Conclusions: In this RW analysis, ide-cel was associated with superior PFS and OS compared with teclistamab in patients with TCE RRMM. These findings support emerging RW evidence favoring BCMA-directed CAR T cell therapies over bispecific antibodies and may inform treatment sequencing decisions in this high-risk population.

Abstract E1910 evaluated the addition of blinatumomab to chemotherapy in adults with B-acute lymphoblastic leukemia (ALL). The addition of blinatumomab in patients (pts) with measurable residual disease (MRD) negative (neg) B-ALL significantly improved both relapse-free and overall survival (NEJM 2024; 391: 320-33)1. Given the increasing use of blinatumomab and the E1910 backbone chemotherapy regimen, we evaluated > Grade 3 toxicities on this trial in further detail. We assessed toxicity among the MRD-neg pts by age, gender, body mass index (BMI), combined cytogenetic-molecular risk, and number of cycles of blinatumomab received. We also evaluated toxicities during induction since this trial used a modified chemotherapy backbone. Methods: The eligibility, combined cytogenetic-molecular risk, and treatment have been previously described.1 All toxicities were > Grade 3 by CTCAE version 4 with at least a possible relationship to treatment. Descriptive statistics were used to summarize the occurrence and rates of toxicities and Fisher's exact test was used to compare differences in proportions between groups. Analysis of induction included all pts who started treatment. Analysis of Step 3 toxicities included MRD-neg pts who started treatment on the blinatumomab (n=111) or chemotherapy only arm (n=112). Results: Pt characteristics: For induction (n=488), median age was 51 years (yrs) (range 30-70); 48.6% female. Combined cytogenetic-molecular risk: favorable (13.5%); intermediate (12.9%); no risk assigned (16.2%); unfavorable (57.4%). For induction, we compared toxicities for E1910 (n=488) to pts treated on a prior young adult study (n=289) (C10403) (Blood Adv 2021; 5(2): 504-12). The incidence of hyperglycemia (8% vs. 31.1%, p< 0.001), aspartate aminotransferase (AST) increase (6.1% vs. 12.8%, p=0.002), alanine aminotransferase increase (ALT) (11.7% vs. 28.7%, p< 0.001), and hyperbilirubinemia (11% vs. 19%, p=0.002) were significantly lower in E1910 pts. The incidence of pancreatitis (1.8%), thromboembolic events (4.5%), and febrile neutropenia (25.4%) in E1910 was similar to C10403. Toxicities in the MRD-neg pts in the blinatumomab arm (n=111): Despite a high incidence of neutropenia (74.8%) and thrombocytopenia (55.9%) in Step 3, there was a relatively low incidence of sepsis (7.2%), bacteremia (1.8%), cytokine release syndrome (CRS) (3.6%) and neurologic adverse events (0-6.3%). There was a higher incidence of neurological or psychiatric events in the blinatumomab arm (23%) versus chemotherapy arm (5%) (p < 0.001) when all events were combined. There was a numerically higher incidence of ataxia (4.4% vs. %, p=0.16) and dysphasia (11.1% vs. 3%, p=0.12) in pts > 55 yrs and a higher incidence of neutropenia (80.3% vs. 66.7%, p=0.12) and thrombocytopenia (62.1% vs. 46.7%, p=0.12) in the younger pts (age < 55 yrs). In pts with a BMI < 30 kg/m2 (vs. > 30 kg/m2), there was a significantly higher incidence of leukopenia (51.7% vs. 26.4%, p=0.007) and thrombocytopenia (65.5% vs. 45.3%, p=0.037). However, this did not translate into an increased incidence of bleeding or infectious complications. By gender, females had a higher numerical incidence of AST increase (8.8% vs. 0%, p=0.057) and CRS (7% vs. 0% p=0.12); whereas males had a higher incidence of catheter- related infections (7.4% vs. 0%, p=0.05) and hyperglycemia (11.1% vs. 3.5%, p=0.16). A little more than half (56.8%) of pts received 4 cycles of blinatumomab with the remainder of pts receiving 1 (10.8%), 2 (28.8%), or 3 cycles (3.6%). Pts receiving 3-4 cycles of blinatumomab vs. 1-2 cycles of blinatumomab had a statistically higher incidence of anemia (38.8% vs. 6.8%, p< 0.001), neutropenia (98.5% vs. 38.6%, p< 0.001), and thrombocytopenia (83.6% vs. 13.6%, p< 0.001), likely related to being on treatment for a longer period of time. Conclusions: Blinatumomab was well tolerated with no significant toxicity differences noted by age, gender, or number of cycles of blinatumomab received. Pts with a lower BMI did have an increased incidence of leukopenia and thrombocytopenia, possibly related to flat dosing of the drug. However, this did not translate into increased complications. Toxicites during induction were notably few, which suggests that this backbone with age adjustments may serve as a good backbone for future trials. Blinatumomab is being evaluated with low dose chemotherapy and other targeted agents in ongoing trials.

Abstract BACKGROUND Early disease progression within 24 months following chemoimmunotherapy (CIT) is an established adverse prognostic factor for overall survival (OS) in patients (pts) with indolent non-Hodgkin lymphomas. Initially reported in pts with follicular lymphoma, progression of disease (PD) within 24 months in pts with CLL treated with CIT (occurring in ~1-out-of-4 pts) is also associated with inferior OS. The prognostic utility of early event status in pts with CLL treated with targeted therapies is unknown. Recently, we reported worse than expected outcomes with BCL2 inhibitor (BCL2i) treatments in an international cohort of pts with covalent BTK inhibitor (BTKi)-resistant, CIT-naïve CLL. We hypothesize that early disease progression on first-line (1L) targeted agent treatment will identify additional pts with high-risk disease beyond conventional prognostics in the current era. METHODS We identified pts in the Mayo Clinic CLL Database with the following 1L treatments a) BTKi (+/- anti-CD20 monoclonal antibody [CD20mAb]); b) BCL2i + CD20mAb; c) BTKi + BCL2i +/- CD20mAb. PD was defined by a) new or progressive lymphadenopathy or splenomegaly; and/or b) ≥ 50% increase from nadir absolute lymphocyte count (ALC) with persistent (>2 months), and otherwise unexplained ALC ≥ 10x109/L; and/or c) Richter transformation. Logistic regression model evaluated association between clinical factors and POD36 status. OS in pts with PD within 36 months of 1L start (POD36) was evaluated and compared to those without early PD (non-POD36) with analyses: a) starting from time of PD (POD36) and starting from 3 years after 1L initiation (non-POD36); and b) Kaplan-Meier landmark analysis amongst pts alive 3 years post 1L initiation. Cox regression analyses compared a) OS from POD36 by groups and b) OS from 1L treatment with POD36 as a time-dependent covariate. RESULTS A total of 787 pts with CLL initiated 1L targeted therapy (n=538 [68%] BTKi +/- CD20mAb; n=151 [19%] BCL2i + CD20mAb; n=98 [13%] BTKi + BCL2i +/- CD20mAb. The median age at 1L start was 67 years (range 26-92 years), and 67% of pts were male. Among pts with complete CLL-IPI data (n=519), 44% and 15% had high- and very high-risk CLL-IPI risk scores, respectively. Specific pre-1L treatment disease characteristics included TP53 disruption (del17p or TP53 mutation) in 120/639 (19%), del11q in 103/634 (16%), unmutated IGHV in 406/591 (69%), complex karyotype (≥3 clonal structural or numerical abnormalities on karyotype) in 70/273 (26%), and positive CD49d expression in 229/449 (46%). The median pre-treatment beta-2-microglobulin level was 3.3 mcg/mL (range 1.2-24.4 mcg/mL). The median follow-up from 1L start was 50 months (95% CI 46-54 months). 496 pts met criteria for defining POD36 status; 72 (15%) had PD, and 424 did not. TP53 disruption (OR 2.9; 95% CI 1.5-5.7, P=0.001) was associated with POD36 on univariate analysis; complex karyotype, unmutated IGHV status, elevated serum lactate dehydrogenase level, age, sex, and inclusion of CD20mAb were not associated with POD36 status. Median OS from the time of determination of POD36 status was not reached. OS was significantly shorter after POD36 compared to non-POD36 pts (HR 3.5; 95%CI 2.1-6.0, P<0.0001), with 4-year OS estimates of 65% and 88%, respectively. When assessed by landmark analysis at the 3-year timepoint following 1L start (n=50 POD36), OS was also shorter in pts with POD36 compared to non-POD36 pts (HR 3.5; 95%CI 1.8-6.8, P=0.0002). In the overall cohort (n=787), when evaluating OS from 1L treatment with POD36 as a time-dependent covariate, POD36 status was associated with an increased risk of death (HR 4.3; 95% CI 2.6-7.1, P<0.0001) on univariable analysis; and remained an independent marker of shorter OS in multivariable analyses after adjusting for age, sex, TP53 disruption status, and IGHV status (HR 4.2; 95% CI 2.1-8.4, P<0.0001). CONCLUSIONMost pts achieved durable CLL disease control with 1L targeted treatments, and early PD occurs much less frequently than previously reported with CIT. However, among pts who receive 1L targeted therapies for CLL, PD within 36 months is associated with a ~4-fold higher risk of death. These results, if validated in larger data sets, will provide a practical measure for identifying a high-risk subgroup of pts in need of novel treatment strategies in future trials.

Abstract Introduction: Pirtobrutinib, a highly selective non-covalent BTK inhibitor, demonstrated encouraging efficacy in Richter transformation (RT) of chronic lymphocytic leukemia (CLL) in the BRUIN trial (Wierda et al, Lancet Haematology, 2024). However, a control arm was not included in this phase 1/2 trial, and how pirtobrutinib compares to usual care is unknown. To address this gap of knowledge, we sought to compare efficacy outcomes in BRUIN to that in a control cohort consisting of RT patients treated with usual care at Mayo Clinic. Methods: The study was approved by the Mayo Clinic IRB. Patient-level data from BRUIN (n=79; investigator-assessed) were obtained from the study sponsor. Patients with histologically confirmed RT (large B-cell lymphoma) who received at least one line of therapy (n=230) were identified from the Mayo Clinic CLL Database. Multivariable logistic regression was employed to calculate propensity scores for baseline covariates (ie, age at RT treatment line, number of prior lines of CLL treatment [truncated at 3], number of prior lines of RT treatment [truncated at 3], and LDH). For each Mayo patient, propensity scores for each line of RT therapy were calculated, and the line with the highest propensity score was chosen as the index RT treatment line. Using the inverse probability treatment weighting (IPTW) methodology, individual weights were computed, and standardized mean differences (SMDs) were examined for each of the unadjusted and weighted baseline covariates to ensure that balance was obtained between BRUIN cases and Mayo controls. Overall survival (OS; the primary endpoint) and progression-free survival (PFS) were analyzed using unweighted and weighted Cox proportional hazards models. Unweighted and weighted overall response rates (ORRs) and complete response (CR) rates were analyzed using logistic regression. Results: The final analysis dataset contained 79 BRUIN cases (median age 67 [range 26-95], 66% male) and 204 Mayo controls (median age 69 [range 30-89], 74% male). The BRUIN cohort had more patients with ECOG PS ≥1 (61% vs 40%, p=0.001) and elevated LDH (81% vs 63%, p=0.003) than the Mayo cohort. The proportion of patients with TP53 aberration was not statistically different in both cohorts (57% vs. 44%, p=0.15). The index line of RT treatment in the Mayo cohort included chemoimmunotherapy (n=167, 80%) and novel agent-based therapy (eg, cBTKi, venetoclax, PI3Ki, immune checkpoint inhibitor, etc; n=42, 20%). Median lines of prior CLL therapy were 2 (IQR 1-4) vs 1 (IQR 0-3) in the BRUIN and Mayo cohorts, respectively; median lines of prior RT therapy were 2 (IQR 1-2) vs 0 (IQR 0-2). The SMDs of the weighted baseline factors met pre-determined criteria (-0.25≤SMD≤0.25), indicating that balance between the two cohorts was achieved. The median follow-up was 18.3 months (range 0.7-32.9) in the BRUIN cohort and 122.8 months (range 0-280.2) in the Mayo cohort. The unweighted median OS was 12.5 months (95% CI 7.0-20.6) in the BRUIN cohort and 5.7 months (95% CI 3.9-10.7) in the Mayo cohort. The unweighted HR was 0.76 (95% CI 0.54-1.07, p=0.12). After IPTW, the weighted HR was 0.63 (95% CI 0.50-0.78, p<0.001), significantly favoring the BRUIN cohort. The unweighted median PFS was 3.6 months (95% CI 2.8-5.1) in the BRUIN cohort and 3.1 months (95% CI 2.5-4.3) in the Mayo cohort. The unweighted HR was 0.98 (95%CI 0.72-1.34, p=0.92). After IPTW, the weighted HR was 0.78 (95% CI 0.64-0.95, p=0.01), again favoring the BRUIN cohort. Response was evaluable/available in 69 patients in BRUIN and 182 patients in Mayo cohort. The unweighted ORR was 58% vs 53% in BRUIN and Mayo cohorts, respectively (OR=0.83, 95% CI 0.47-1.45, p=0.51), and the CR rate was 16% vs 36% (OR=2.94, 95% CI 1.43-5.88, p=0.003). After IPTW, the weighted OR was 0.65 (95% CI 0.45-0.93, p=0.02) for ORR, favoring the BRUIN cohort, and 1.89 (95%CI 1.23-2.86, p=0.02) for CR rate, favoring the Mayo cohort. Conclusions: This individual patient-level IPTW-based analysis demonstrated that single agent pirtobrutinib is associated with improved OS, PFS, and ORR compared to usual care in patients with RT. These results support the choice of pirtobrutinib over traditional therapies for RT. Although these results are encouraging, the durability of response to pirtobrutinib remains suboptimal. Ongoing trials and other future research will evaluate the efficacy of pirtobrutinib in combination with other treatments in this setting.

Abstract Background: Advantages of covalent Bruton Tyrosine Kinase inhibitor (cBTKi) treatment (tx), as compared to BCL2 inhibitor (BCL2i) containing regimens, include ease of initial administration without a requirement for frequent laboratory monitoring, even in patients (pts) with bulky disease. However, limitations of cBTKi monotherapy include acquired resistance, cumulative toxicity and the financial burden associated with continuous administration. CLL pts treated on the E1912 study who discontinued (dc) ibrutinib for reasons other than progression of disease (PD) had a median progression free survival (PFS) of ~2.7 years from ibrutinib dc, suggesting that a time-limited cBTKi strategy may be feasible for some pts(Shanafelt et al. Blood Advances 2025). We hypothesized that acalabrutinib (acala) and obinutuzumab (O) could be administered as a time-limited initial tx for CLL with duration guided by minimal residual disease (MRD). Methods: This is an ongoing phase II, multicenter, investigator-initiated study of acala and O for previously untx pts with CLL/small lymphocytic lymphoma (SLL) requiring tx per iwCLL 2018 criteria (NCT04722172). Pts with TP53 aberrancy are excluded. Pts receive acala 100 mg twice daily and O during 28-day cycles (C) 2-7. Undetectable MRD is defined with a 10-4 sensitivity in the peripheral blood (PB) by ClonoSeq next generation sequencing (uMRD4). Pts undergo MRD testing at C13; if uMRD4 at C13 with a complete response (CR) or partial response (PR), pts dc acala and enter tx free observation (TFO). If detectable MRD4 (dMRD4) at C13, pts continue acala until uMRD4, with repeat MRD testing occurring at C16, 19, 22 and 25. All pts dc acala after a maximum of 26C and enter TFO, even if dMRD4. If pts have PD meeting iwCLL criteria for tx during TFO, re-tx consists of acala + 6 cycles of O. Pts are followed for 13C of re-tx. Primary endpoint is 36-month PFS. Results: 55 pts initiated tx. Baseline characteristics include: median age 67, 64% male, 47% LN ≥ 5 cm, 73% IGHV unmutated. Best overall response rate (ORR) was 95% (CR: 4, PR: 48, SD: 0, PD: 1, unknown: 2). Best uMRD4 rate at any time during the study was 49% (n=27 pts, intention-to-treat, IIT). 5 pts dc tx prior to C13 MRD testing (2 pt decision, 2 AE, 1 due to PD after ~4C). At C13, 22 pts (40% of IIT) were uMRD4; 21 entered TFO after 13C and 1 pt had 19C tx prior to TFO. 28 pts had dMRD4 (51% ITT) at C13. Between C13 and 26, 2 pts became uMRD4 and entered TFO, 1 pt died (COVID-19), and 2 pts stopped acala for tx of other cancers. 21 pts completed 26C acala per protocol prior to entering TFO; 2 additional pts had PD at C25 and EOT. Median tx duration was 19C. In univariate analyses, age, del11q, del13q, IGHV mutational status and baseline LN ≥ 5 cm were not predictive of uMRD4 at C13. At a median follow-up of 38 months, the median PFS for the overall cohort is 42 months (95% confidence interval (CI): 37, not reached), with an estimated 36-month PFS of 69% (95% CI: 57%, 84%). At data cutoff, of 46 pts entering TFO, 29 pts remained in TFO without PD, 7 pts had PD during TFO but had not met iwCLL criteria for re-tx, and 10 pts had PD requiring tx (5 pts re-tx pe protocol, 5 came off study for non-protocol tx approach). The overall median TFO period (measured from acala dc to PD) was 25 months (95% CI: 21 – not reached, n=46 pts). 5 pts have initiated re-tx with acala + O (1 pt best response PR and uMRD4; 4 ongoing tx). Median time to re-tx was 18 months (range 6-34, n=5 pts). Conclusions: This study is proof-of-concept that cBTKi may be administered as a time-limited tx without the addition of a BCL2i. While the initial PFS is shorter than historical studies examining continuous cBTKi, of patients entering TFO after 1-2 years of acala, the median duration of TFO until PD is 25 months, and longer follow-up will provide re-tx outcomes. Potential advantages to MRD-guided, time-limited cBTKi tx include time off tx for pts, limiting acquired resistance, the ability to re-challenge with cBTKi at progression, and reserving BCL2i for third-line or later tx.

Abstract Introduction Chimeric antigen receptor (CAR) T-cell therapies have revolutionized the treatment of relapsed or refractory (R/R) diffuse large B-cell lymphoma (DLBCL), with axicabtagene ciloleucel (axi-cel) and tisagenlecleucel (tisa-cel) both being approved for use. Axi-cel was approved for second-line setting based on studies showing improved outcomes compared to high-dose salvage chemoimmunotherapy followed by autologous hematopoietic stem cell transplantation (HSCT). In contrast, tisa-cel did not demonstrate superiority over traditional salvage therapies in the second-line setting. Although both therapies are currently used in clinical practice, real-world comparative data on the safety of axi-cel versus tisa-cel remain limited. This retrospective study aims to compare the one-year outcomes of axi-cel and tisa-cel in patients with R/R DLBCL, offering practical insights into their outcomes outside of clinical trial settings. Methods A retrospective cohort study was conducted using TriNetX, a global federated health research network that provides access to electronic medical records from approximately 132 million patients, primarily in the United States. Adult patients (≥18 years) diagnosed with R/R DLBCL between January 1, 2022, and January 1, 2024, were identified using ICD-10-CM codes. Patients were categorized into two cohorts: those who received axi-cel and those who received tisa-cel. Propensity score matching (1:1) using nearest neighbor matching with a 0.1 pooled standard deviation caliper was performed for demographics, comorbidities, prior stem cell transplantation, and medications. Study outcomes included 1-year rates of all-cause mortality, all-cause hospitalization, cytokine release syndrome (CRS), immune effector cell-associated neurotoxicity syndrome (ICANS), anemia, neutropenia, thrombocytopenia, heart failure exacerbation, and acute myocardial infarction. Statistical analyses were conducted on the TriNetX platform, with significance set at P<0.05 (two-sided). TriNetX calculates hazard ratios (HRs) and cumulative incidences (CIs) using R survival package version 3.2-3 with the proportional hazard assumption tested using Schoenfeld residuals. This study does not require Institutional Review Board review or informed consent due to the use of de-identified data. Results Our study identified 1,250 patients with R/R DLBCL, including 1,083 patients who received axi-cel and 167 who received tisa-cel. After propensity score matching (PSM), 160 patients were in the axi-cel group (mean age 61.7 ± 11.8 years; 38.8% female; 73.1% White, 8.1% African American) and 160 patients were in the tisa-cel group (mean age 62.3 ± 16.0 years of age; 39.4% female; 75.0% White, 7.5% African American). Axi-cel group had 45% lower risk of all-cause mortality compared to tisa-cel group (HR: 0.55; 95% CI: 0.34–0.87). However, axi-cel group was associated with higher risks of all-cause hospitalization (HR: 1.33; 95% CI: 1.04–1.70), CRS (HR: 2.19; 95% CI: 1.43–3.36), and ICANS (HR: 2.69; 95% CI: 1.42–5.11) compared to tisa-cell group. No significant differences were observed in anemia (HR: 1.18; 95% CI: 0.82–1.72), neutropenia (HR: 1.30; 95% CI: 0.96–1.77), and thrombocytopenia (HR: 0.96; 95% CI: 0.65–1.43) between these two treatment groups. Additionally, there were no significant differences in terms of septic shock (HR: 0.79; 95% CI: 0.42–1.47), pneumonia (HR: 0.64; 95% CI: 0.34–1.21), and heart failure exacerbation (HR: 1.16; 95% CI: 0.76–1.76) between axi-cel group and tisa-cell group. Conclusion This large and multicenter cohort study provides real-world valuable insights into the one-year comparative outcomes of axi-cel and tisa-cel in patients with R/R DLBCL. Our study suggested axi-cel was associated with lower mortality rate, despites its higher rates of all-cause hospitalization, CRS, and ICANS compared to tisa-cell. These findings highlight the importance of close monitoring and supportive care during the first year following CAR-T therapy to optimize patient outcomes. An important limitation of our study is the lack of data on the number of prior lines of therapy, which may have differed between treatment groups and could have influenced clinical outcomes. Future prospective studies with comprehensive clinical data and inclusion of lisocabtagene maraleucel (liso-cel) would be valuable to provide a more complete comparison across currently available CAR T-cell therapies.

Abstract BACKGROUND Children exposed to poverty during frontline therapy for B-lymphoblastic leukemia (B-ALL) experience inferior overall survival (OS), higher relapse rates, and earlier relapse than their peers. Real-world data describing treatment patterns and survival after relapse of B-ALL are lacking and, as a result, the impact of poverty following relapse remains poorly understood. This study evaluated the association of poverty exposure, proxied by insurance status, with post-relapse survival and explored potential explanatory mechanisms, including disease biology and therapy utilization. METHODS Data from Retrospective Study of Contemporary Approaches to First Relapse in B-ALL (ReCALL-1), a multicenter retrospective cohort study of patients < 30 years old with first relapse of B-ALL from 2018-2022, were used. The primary exposure was poverty, proxied by insurance status at relapse, categorized as any private insurance (poverty unexposed), public-only insurance (poverty exposed), no insurance, or unknown; the latter two were not included in comparative analyses due to low numbers. The primary outcome was OS. Secondary outcomes included measurable residual disease (MRD)-negative second complete remission (CR2), relapse after CR2, non-relapse mortality (NRM), with relapse treated as a competing risk, and receipt of cellular and immunotherapies. RESULTS Among 462 patients from 31 U.S. institutions, 41% had private insurance, 47% public-only insurance, 2% no insurance, and 10% unknown. Compared to privately insured patients, those with public insurance were more likely to be Hispanic (56% vs 19%, p<0.001) and have non-English preferred language (30% vs 6%, p<0.001). Non-Hispanic Black patients comprised 9% of those with public insurance and 5% of those with private insurance. Disease characteristics that differed by insurance status at relapse included: Ph-like cytogenetics, more common in publicly insured (23% vs 11%, p=0.002), and infant ALL, more common in privately insured patients (10% vs 5%, p=0.06). Publicly insured patients were more likely to have experienced major organ toxicity during frontline therapy (32% vs 18%, p=0.002) and very early relapse (<18m from diagnosis: 43% vs 32%, p=0.07). Other demographic and disease characteristics, including relapse site and cytomolecular features, were similar by insurance status. With a median follow-up of 51 months from relapse, 4-year OS differed by insurance (log-rank p=0.02): 72% for private vs 56% for public insurance. After adjusting for race/ethnicity and language, public insurance increased the hazard of death by 65% (aHR 1.65 95% CI 1.13-2.42, p=0.004). The association remained, but was attenuated, when unbalanced disease characteristics (time to relapse, infant ALL, Ph-like cytogenetics, prior organ dysfunction) were included (aHR 1.47, 95% CI 1.00-2.16, p=0.05). Rates of MRD-negative CR2 were similar (85% public vs 87% private). However, point estimates suggested publicly insured patients had more relapse after CR2 (44% vs 37%, p=0.42) and higher 4-year NRM (16% vs 10%, Gray's test p=0.12), though neither were significant. Treatment choices for first relapse did not differ by insurance status. Utilization of intensive reinduction (91% vs 95% for public vs private, p=0.18) and clinical trial enrollment (22% for both) were similar. Receipt of cellular therapies did not significantly differ by public vs private insurance: Chimeric Antigen Receptor-T cells (CAR-T: 38% vs 34%, p=0.41), hematopoietic cell transplant (HCT: 42% vs 47%, p=0.32). Use of blinatumomab trended higher in those with private insurance (36% vs 45%, p=0.07), and inotuzumab was similar (11% for both, p=0.87). Median time from relapse to CAR-T or HCT was comparable (to CAR-T 102 vs 100 days, to HCT 117 vs 114 days). CONCLUSION This is the first study to demonstrate differential survival by insurance type, a proxy for poverty exposure, after first relapse of B-ALL. In this large multicenter, real-world cohort, patients with public insurance had worse OS after relapse than those with private insurance. The survival disparity existed independent of other SDOH factors. Adjustment for known high-risk disease features only partially accounted for the observed differences in OS. In contrast, rates of MRD-negative CR2 and receipt of CAR-T and HCT were comparable across insurance types. These findings highlight the urgent need to identify effective interventions that will ensure equitable outcomes after relapse.

Abstract Introduction: CAR-T therapy has transformed cancer therapy. with its first Food and Drug Administration (FDA) approved product in August 2017. Given the expanding indications and growing experience, particularly with management of immediate toxicities requiring specialized expertise such as Cytokine Release Syndrome (CRS) and Immune Effector Cell-Associated Neurotoxicity syndrome (ICANS), FDA recently removed the Risk Evaluation and Mitigation Strategies (REMS) for CD19 and BCMA targeting CAR-T on June 26th2025. In particular, given that CRS and ICANS typically occur in the first 2 weeks post CAR-T infusion, the minimum required stay near CAR-T treatment center is reduced from one month to 2 weeks. While this could reduce treatment burden for patients (pts) who need to travel away from home to receive CAR-T, there is a need to update the transition of care from CAR-T center to pts' local oncology practice. Pts carry in their rate of recovery and have varying supportive care needs in the second half of the month post CAR-T infusion. To assist with care transition and planning, we examine the use of AI multimodal large language model (LLM) to predict patients' supportive care needs 2 weeks after CAR-T infusion based on the clinical data at the time of CAR-T evaluation, prior to leukapheresis. This timepoint was selected to also maximize travel, lodging and caregiver planning for pts and family as well. Methodology: Pts who were treated with FDA-approved CAR-T at Mayo Clinic Rochester between December 2022 and June 2025 were examined. Based on experiences with referral practices in the Midwest region, we defined patients with high monitoring needs as those who between day 14-30 post CAR-T had either hospital admission due to recurrent CRS or ICANS or required transfusion of more than 1 blood product per week (red blood cell or platelets). Others were classified as low monitoring needs. Clinical notes, labs, vital signs and electrocardiogram at the time of CAR-T evaluation were abstracted and summarized by Gemini LLM for association with patients with high versus low monitoring needs post CAR-T. Model was developed and tested for predicted needs and concordance with actual outcome of these pts. Results: Among the 362 pts who received FDA approved CAR-T in the timeframe, 84 pts had high monitoring needs. An additional 84 pts with low monitoring needs were randomly selected from 278 pts. These were divided into a training cohort and test cohort of 84 pts each, with 42 pts with high and 42 pts with low monitoring needs. Demographics of the two cohorts displayed no statistical difference. LLM analysis of the clinical data at the time of CAR-T eval identified 5 categories associated with risk for high monitoring needs: 1) Disease status (clinical notes about bulky, progressive disease or CNS involvement); 2) inflammatory and tumor burden markers (CRP, LDH); 3) hematologic status (platelet, plt; neutrophil count ANC); 4) renal function; 5) performance status. Using common clinical lab parameter convention (platelets <100, ANC< 1, CrCl< 30ml/min), and prioritizing for not missing pts with high monitoring needs, LLM model was defined to predict patients for high monitoring needs if high risk feature was identified in category 1 or any category combinations; whereas patients with no high risk feature or only 1 category that is not disease status was predicted as low monitoring needs. In this model, the sensitivity was 85.7%, specificity 23.8%, F1 score 65.5%. Applying this model to test cohort 2, the sensitivity was 83.3%, specificity 28.6%, and F1 score 65.4%. Discussion: We demonstrate proof-of-concept that LLM can be used to analyze clinical data at the time of evaluation for CAR-T eligibility to predict for supportive care needs post treatment. Not surprisingly, features identified by LLM to be associated with high monitoring needs are those previously reported by us and others at the time of CAR-T evaluation and or pre-lymphodepletion to be associated with risk for cytopenia, infection, hospitalization and non-relapse mortality. Based on the summary output generated by LLM, additional opportunities for classification methods were identified to improve specificity and balanced accuracy of the LLM model. This is a promising tool for further development to assist clinicians and patients to plan their treatment journey.

Abstract Introduction: Primary mediastinal B-Cell lymphoma (PMBCL) is a rare form of large B-Cell lymphoma (LBCL) with around 90% of patients (pts) cured with first line (1L) treatment. For pts with relapsed or refractory (RR) PMBCL, the optimal treatment is unclear. Prior retrospective analysis in the rituximab (R) era have shown high response rates to platinum salvage and high-dose chemotherapy followed by autologous stem cell transplant (HDT/ASCT) in second line (2L) RR PMBCL (Bakos et al. ASH 2023 and Dumke et al. ASCO 2024). The pivotal phase III LBCL trials in early relapsing pts that compared CD19 chimeric antigen receptor-T cell (CAR-T) with HDT/ASCT as 2L treatment had few PMBCL pts: none on ZUMA-7 and 17 PMBCL on TRANSFORM, of whom only 8 were randomized to 2L CAR-T. This study aims to evaluate outcomes of 2L therapies for RR PMBCL, including pts treated with 2L CAR-T. Methods: We performed a multicenter retrospective study in pts with RR PMBCL treated between 2001 and 2025. Clinical and pathologic characteristics, treatment regimens, and efficacy outcomes were collected and analyzed. Results: 139 pts were included with 43% male, 69% Caucasian, 7.9% Black, 8.6% Asian and 79% Non-Hispanic. R-EPOCH (64%) and (32%) were the most common 1L treatments and all pts received R. Consolidative radiation was used in 21 pts (15%) as part of 1L therapy, 28% after RCHOP. Primary refractory disease with relapse ≤6 month (mo), or early relapse ≤12 mo, occurred in 83% (N = 115) and 93% (N = 129 pts), respectively. At relapse, median age was 34 years (yrs), 44% had advanced stage disease, 31% had bulky disease (≥ 7.5cm). CNS relapse occurred in 8.6% of pts. Overall and complete response rate (ORR and CR) to any 2L treatment was 44% and 27%, respectively. At median follow-up of 40 months (mo) from the start of 2L treatment, median PFS of the entire cohort was 3.2 mo with a 3 yr OS of 70%. For 2L treatment, N=93 (67%) pts were treated with platinum salvage with intention to proceed with HDT/ASCT. Most commonly used platinum salvage regimens were ICE± R (n= 53, 38%), R-DHAP (n=23, 17%), R-GemOx (n= 5, 3.6%), and GDP ± R (n= 10, 7.2%), and the majority (95%) of pts received R with 2L therapy. ORR and CR to platinum salvage was 46% and 15% respectively. With a median follow up of 30 mo from start of 2L therapy, median PFS was 2.6 mos, and 3 yr PFS and OS was 15% and 64%, respectively. Of the 93 pts treated with platinum salvage, only 25 pts (27%) proceeded with HDT/ASCT- of whom, N = 17 (68%) achieved a CR after ASCT. In patients that proceeded to ASCT, relapses occurred in 10 pts (40%) with a 3 yr PFS and OS 56% and 83%, respectively. CAR-T was used as 2L in 20 pts (14%)- most commonly either axi-cel (N =7) or liso-cel (N = 8). ORR and CR to CART was 89% and 55% respectively, median PFS and OS was NR after CAR-T infusion and 3 yr PFS and OS was 55% and 95%, respectively. Other 2L treatments included pembrolizumab (N =3), brentuximab vedotin (BV) + nivolumab (N= 4) or single agent BV (N=2). Radiation was given as part of 2L treatment in 25.9% of pts. 2L CAR-T therapy was associated with improved ORR (OR 7.60, 95% CI 1.68 – 34.55, p = 0.002), improved CR rate (OR 4.15, 95% CI 1.49 – 11.53, p = 0.008) and improved PFS (HR 0.18, 95% CI 0.06 – 0.57, p = 0.004) compared to pts treated with 2L platinum salvage. There was no difference in OS between pts treated with platinum salvage or 2L CAR-T. A total of 96 patients progressed on 2L therapy, and 92 pts (95.8%) received third-line (3L) treatment. Third line treatments included chemoimmunotherapy +/- HDT/ASCT (N= 23), CD19 CAR-T (N = 35), clinical trial (N=7), check point inhibitor-based regimen (N= 11), BV based regimen (N= 8), allogeneic stem cell transplant (N = 3) or other (N = 5), with 7 pts receiving radiation as part of 3L therapy. Median PFS and OS from start of 3L therapy was 6.7 mo and 6.4 mo, respectively. Conclusions: We report the largest cohort of pts with RR PMBCL treated in the rituximab era and the largest number of PMBCL pts treated with 2L CAR-T. This is the first analysis, to our knowledge, to show a statistically significant benefit in PFS, ORR and CR rate of CAR-T compared to platinum salvage followed by HDT/ASCT as 2L treatment in a study of exclusively RR PMBCL pts. Our dataset was largely (93%) compromised of pts with primary refractory or early relapsing disease and provides support for using CAR-T as 2L treatment in this high-risk subset of RR PMBCL patients.