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Introduction: Patients with chronic lymphocytic leukemia and small lymphocytic lymphoma (CLL/SLL) have a higher risk of developing other malignancies compared to the general population (Greene et al, J NCI 1978). Chemoimmunotherapy has previously been the mainstay of treatment and was associated with increased rates of other cancers (OC) (Thompson et al, Blood 2023). Targeted therapies such as Bruton tyrosine kinase inhibitors (BTKi) and BCL2 inhibitors were approved in the frontline setting in 2016 and 2019, respectively, and are now the standard of care for initial therapy (Shanafelt et al, NEJM 2019; Fischer et al, NEJM 2019). This study aims to compare the incidence of OC in patients with CLL/SLL treated with frontline therapies or managed with active surveillance. Methods: This is a retrospective case-control analysis of patients diagnosed with CLL/SLL during or after 2016 using the Department of US Veteran Affairs Central Cancer Registry (VACCR). Cases were patients with CLL/SLL diagnosed with incident OC, excluding nonmelanoma skin cancers. Frontline treatment with chemoimmunotherapy, monoclonal antibodies alone, or targeted therapies, such as BTKi or BCL2 inhibitor, was the exposure of interest compared to patients on active surveillance. Patients were followed until date of OC, death, or last follow up. Descriptive statistics were used to summarize continuous and categorical variables. Logistic regression was used to analyze the risk of developing OC while adjusting for potential confounders. Results: We identified 5244 patients with CLL/SLL who met inclusion criteria. Median follow up was 3.19 years (interquartile range [IQR] 1.61-5.14). The median age at diagnosis of CLL/SLL was 71.7 years (IQR 66.1-77.3) and most patients were white (78%) and male (97%). 3,460 (66%) patients were managed with active surveillance and 1,784 (34%) patients required frontline treatment: 1,318 (25%) targeted therapy, 329 (6%) chemoimmunotherapy, and 137 (3%) monoclonal antibodies alone. In patients treated with targeted therapies, patients were treated with ibrutinib (776, 59%), acalabrutinib (246, 19%), zanubrutinib (129, 10%), venetoclax (164, 12%), or combination of ibrutinib and venetoclax on a clinical trial (3, <1%). 505 (10%) patients were diagnosed with OC and 4739(90%) patients did not develop OC during the follow up period after diagnosis of CLL/SLL. Types of OC observed included neoplasms of the lung (120, 24%), prostate (105, 21%), gastrointestinal tract (72, 14%), hematologic malignancies (68, 13%), melanoma (45, 9%), kidney and bladder (43, 9%), head and neck (16, 3%), and other/unknown (36, 7%). More patients with OC had a history of tobacco use compared to those diagnosed with CLL/SLL without OC (70% vs 54%, p<0.0001). Fewer patients with OC had a history of alcohol use (60% vs 67%, p<0.0001). In a logistic regression analysis adjusted for age at diagnosis of CLL, race, and tobacco and alcohol use patients treated with chemoimmunotherapy had a higher risk of OC compared to those on observation (OR 2.4, 95% CI: 1.7-3.3, p<0.0001) whereas patients treated with targeted therapies or monoclonal antibodies alone did not have a higher risk of OC (OR 1.1, 95% CI 0.9-1.4 and OR 1.4, 95% CI 0.8-2.6, respectively) compared to the patients on active surveillance. A higher proportion of patients with OC were deceased compared to those without OC, 219/505 (43%) vs 1261/4739 (27%), respectively (p<0.0001) at cutoff date. Similar analyses of occurrence of OC in patients followed at tertiary centers including MD Anderson in Houston, Texas and Mayo Clinic in Rochester, Minnesota are ongoing and will be presented at the meeting. Conclusion: Initial treatment with targeted therapies or monoclonal antibodies alone was not associated with an increased risk of OC in US veterans diagnosed with CLL/SLL during and after 2016. However, initial treatment with chemoimmunotherapy was associated with a significant increase of OC compared to patients with CLL/SLL managed with active surveillance.

Cytokine release syndrome (CRS) commonly occurs during initiation of bispecific T-cell engaging therapy (BsAbs) for multiple myeloma (MM) (NEJM 2022;387:495, NEJM 2022;387:2232, Nat Med 2023;29:2259). Pre-medications, step-up dosing (SUD), and monitoring minimize high-grade toxicity risk, while protocolized outpatient (OP) management of BsAbs and toxicities could reduce resource utilization and improve patient satisfaction. At Mayo Clinic, SUD, clinical assessment and grade 1 CRS management occurs primarily as an OP for patients with MM receiving BsAbs. This study aims to assess the current OP management practices of BsAbs and related toxicities including patient outcomes, admission rates, and resource utilization. Patients with MM who received SUD from August 23, 2023, to March 29, 2024, were included. Baseline demographics, patient outcomes, and CRS management details are summarized. Resource utilization outcomes included level of care, length of hospital stay (LOS), and high-cost drug administration. 38 patients received MM BsAbs during the study timeframe. 34 patients initiated OP SUD (teclistamab n=17 and talquetamab n= 17). The median age was 71 years, 59% were male, 82% were white, and 88% had Medicare coverage. Median number of prior lines of therapy was 6. There were 317 OP encounters with a median of 10 encounters per patient. Of these, 72% were planned in-person assessments, 5% were unplanned clinic visits for potential toxicity-related symptom assessment, and 20% were phone visits that obviated in-person assessment. 66 of 68 doses of talquetamab (total of 1,628 mg) and 48 of 50 doses of teclistamab (total of 2,048 mg) were administered and billed in the OP setting. 24 patients (71%) that initiated OP SUD developed CRS (grade 1 n=16, grade 2 n=7). Management of the initial CRS event included steroids and acetaminophen, with or without tocilizumab. 2,600 mg of tocilizumab administered in the OP setting. Recurrent CRS was seen in 5 patients and also treated entirely OP. 4 patients developed ICANS (grade 1 n=3, grade 3 n=1). Hospitalization following OP SUD initiation occurred in 18 (53%) patients at some point during treatment. Indications included grade 2 CRS (n=6), ICANS (grade 1 n=3), refractory CRS (n=7), infection (n=1), GI bleed (n=1), planned observation for comorbidities or prior CRS (n=2), loss of caregiver (n=1), atrial fibrillation (n=1), heart failure (n=1), and pain crisis (n=1). Median LOS was 2 days. Recurrent admission occurred in 41% and median LOS was also 2 days for subsequent admissions. Two patients were admitted to the intensive care unit for hypotension or arrhythmia. 1 patient required dialysis. In total for SUD during the study time frame, 51 mg of teclistamab, 176 mg of talquetamab, and 8,240 mg of tocilizumab were billed under an IP encounter, which likely was due to inpatient administration or hospital admission within 72 hours of receiving the OP SUD. This descriptive study of our OP BsAb management practice demonstrated that 47% of patients remained OP, even with a CRS event. The CRS rate did not surpass those in landmark clinical trials and aligns with real-world data previously reported (Blood Cancer J 2024;14:35.). Availability and use of patient monitoring capabilities along with lack of sentinel outcomes emphasizes the safety of an OP BsAb practice. Drivers of financial burdens and savings include location and reimbursement of high-cost drugs and admission rates. Median LOS was less than half of what's anticipated with inpatient SUD. Inpatient administration of high-cost drugs can be more costly compared to OP due to associated medical costs and insufficient reimbursement in a population primarily insured by Medicare which reimburses inpatient mediations based on the Diagnostic Related Group (DRG) unless the medication has New Technology Add on Payment (NTAP). Using expected Medicare reimbursement rates and wholesale acquisition costs while excluding variable DRG reimbursement and NTAP impacts for teclistamab, the total net revenue improvement for shifting use of all teclistamab, talquetamab, and tocilizumab OP is $115,004 for the period analyzed (CMS.gov 2024). In conclusion, OP management of patients undergoing SUD for MM BsAbs is safe and has substantial reductions in resource utilization and costs.

Introduction: GOLCA is a potential first-in-class CELMoDTM agent for the treatment of lymphoma, purposefully designed to target the proteins Ikaros/Aiolos to produce dual immunomodulatory and anti-tumor activity, with preferential distribution to lymphoid organs. Pharmacodynamic data in pts with R/R FL show that, combined with RTX, the immunomodulatory effects of GOLCA are significantly increased (Chavez et al, EHA 2024, #1132). GOLCA as monotherapy (mono) and + RTX has been shown to be well-tolerated and effective in pts with R/R DLBCL (Chavez et al, ASH 2023, #4496) and R/R FL (Chavez et al, EHA 2024, #1132). Here, we report 30 mo follow up of pts with R/R FL who received GOLCA mono, and updated safety/efficacy of GOLCA + RTX from the ongoing Phase 1/2 CC-99282-NHL-001 study (NCT03930953). Methods: Pts with R/R FL with ≥ 2 prior lines of therapy (L) received GOLCA mono at different dosing schedules during part A (dose exploration) and GOLCA ± RTX at 0.2 mg or 0.4 mg days (d) 1-14 every 28 d (q28d) in part B (dose expansion). Total treatment duration with GOLCA was up to 2 years or until progressive disease or unacceptable toxicity, whichever occurred first. The efficacy-evaluable population consisted of pts completing ≥ 1 cycle of GOLCA and having baseline tumor assessment and ≥ 1 post-baseline tumor assessment or clinical progression or disease-related death. Results: As of May 31, 2024, 63 pts with R/R FL have enrolled: GOLCA mono (n = 19) at various dosing schedules and GOLCA + RTX at 0.2 mg (n = 22) or 0.4 mg (n = 22) on d1-14 q28d schedule. The median time from diagnosis to first dose of GOLCA was 68 mo (range, 23-136) and 59 mo (range, 15-309) in GOLCA mono and + RTX cohorts, respectively. The median number of prior therapies received was 4 (range, 2-11), and 3 (range, 1-12) in GOLCA mono and + RTX cohorts, respectively. In the GOLCA mono and + RTX cohorts, 9/19 (47%) and 13/43 (30%) pts had received prior lenalidomide (len)-based therapy, with 5/9 and 7/13 having len-refractory disease, respectively. In the GOLCA + RTX cohort, 10/43 (23%) had prior CAR T cell therapy and 6/43 (14%) had prior anti-CD20xCD3 bispecific antibody with or without CAR T cell therapy. In the GOLCA + RTX-treated safety population (n = 43), the incidence of treatment emergent adverse events (TEAEs) was similar across 0.2 and 0.4 mg dose levels (DL). The most frequent grade (G) 3+ TEAEs were neutropenia (44%) and anemia (12%). The incidence of febrile neutropenia was 7%. Serious adverse events occurred in 30% of pts, with febrile neutropenia and pneumonia being the most common, in 2 pts (5%) each, as well as pulmonary embolism in 1 pt. Neutropenia led to GOLCA dose interruption in 4 pts (9%) and dose reduction in 1 pt (2%). No pts discontinued treatment because of GOLCA-related TEAEs. Non-hematological TEAEs (e.g., GI toxicity, rash, fatigue) were all low-grade (except 1 pt with G3 fatigue). There were no new safety signals identified for GOLCA mono (part A) at the 30-mo follow up period. In the efficacy-evaluable population, at a median follow up of 6 mo (range 3-18), the ORR and CRR in the GOLCA + RTX cohort (n = 29) were 57% and 29% at 0.2 mg dose (n = 14) and 93% and 67% at 0.4 mg dose (n = 15), respectively. The median time to response was 2 mo (first response assessment). At the 0.4 mg DL of GOLCA + RTX, consistent responses were seen in pts at 2L/3L and 4L+, including in those with prior exposure to len-based therapies and/or T-cell-redirecting therapy. At the 0.4 mg DL, 12/14 (86%) pts remained in response at the time of data cut-off. In pts receiving GOLCA mono across different dose schedules in part A (n = 12), ORR and CRR were 67% and 42%, respectively. Responses were durable, with median DOR of 22 mo (range, 2-51) at a median follow up of 30 mo. 33% of pts (4/12) have completed 2 yrs of protocol defined GOLCA treatment and remain in response at the 1 yr post-treatment follow-up period, without requiring any intervening treatment. Conclusions: GOLCA 0.4 mg + RTX was well tolerated and highly active in heavily pre-treated pts with R/R FL, including those with prior exposure to len-based therapies and/or T-cell-redirecting therapies. Treatment with fixed-duration GOLCA mono led to durable responses including a subset of pts remaining treatment free, without progression at extended follow up. These data further support development of GOLCA + RTX as a fixed-duration, chemotherapy-free, outpatient treatment option in pts with R/R FL, and also pts with newly diagnosed advanced stage FL (NCT06425302).

Introduction Relapsed/refractory (R/R) diffuse large B-cell lymphoma (DLBCL) is very aggressive, with a historically low complete response (CR) rate (Blood. 2017; 130[16]:1800-1808). Recent research has focused on achieving complete and durable responses in this population, which translate to improvements in overall survival (OS) and progression-free survival (PFS). Results from the randomized, global, phase 3 ECHELON-3 study (NCT04404283) demonstrated a statistically significant and clinically meaningful improvement in OS, PFS, and objective response rate with brentuximab vedotin (BV) combined with lenalidomide (Len) and rituximab (R; BV+Len+R) vs placebo+Len+R in patients (pts) with R/R DLBCL after ≥2 prior systemic therapies. Here, we present subgroup analyses in pts with a best overall response (BOR) of CR (n=67). Methods Pts in the study were randomized (1:1) to receive BV (1.2 mg/kg) or placebo every 3 weeks, in combination with R (375 mg/m2) and Len (20 mg) once daily. In these subgroup analyses, eligible pts had a BOR of CR and some ended study treatment and received any subsequent anticancer therapy. BOR was assessed by investigators according to the Lugano 2014 classification. Duration of response was defined as the time from the start of the first documented CR to the first documented tumor progression per Lugano 2014 or death. Pts who initiated a subsequent nonpalliative anticancer therapy were censored at the most recent prior response assessment. Subsequent nonpalliative anticancer therapies were defined as any systemic therapy received after the end of study treatment. P values are descriptive. Results Of the 112 pts in the BV+Len+R group, 45 (40.2%) had a BOR of CR. Of the 118 pts in the placebo+Len+R group, 22 (18.6%) had a BOR of CR. The median duration of CR was 18.9 months (95% CI, 11.1 months-not estimable [NE]) with BV+Len+R vs not reached (NR) with placebo+Len+R (hazard ratio [HR], 0.527; 95% CI, 0.200-1.389; P=.1891). The median time to CR was 1.58 months (range, 1.2-7.3 months) with BV+Len+R and 1.61 months (range, 0.7-4.6 months) with placebo+Len+R. With a median follow-up of 14.3 months, the median OS in pts with a BOR of CR was 31.5 months (95% CI, 20.3 months-NE) in the BV+Len+R group vs NR in the placebo+Len+R group (HR, 1.044; 95% CI, 0.331-3.298; P=.9407). Median PFS in pts with a BOR of CR was 21.5 months (95% CI, 12.6 months-NE) in the BV+Len+R group vs NR (95% CI, 5.4 months-NE) in the placebo+Len+R group (HR, 0.6333; 95% CI, 0.256-1.567; P=.3198). Results of NR in the placebo+Len+R group are likely attributable to limited follow-up and small sample size. Additional data on baseline characteristics of pts who had CR will be presented. Of the 45 pts with CR in the BV+Len+R group, 42 (93.3%) received no subsequent anticancer therapy. Of the 22 pts with CR in the placebo+Len+R group, 17 (77.3%) received no subsequent anticancer therapy. Conclusions BV doubled the CR rate in pts with R/R DLBCL compared with placebo, and outcomes in pts with CR were durable, with only 6.7% of pts treated with BV+Len+R receiving subsequent systemic anticancer therapy, compared with 22.7% of pts treated with placebo+Len+R receiving subsequent therapy. Overall, BV+Len+R demonstrated a survival benefit in the ECHELON-3 study and is a promising option to achieve complete and durable responses in third- or later-line therapy for pts with R/R DLBCL.

BACKGROUND Our knowledge of how the genomic landscape of chronic lymphocytic leukemia (CLL) is impacted by the selective pressure imposed by chemotherapy and targeted agents remains incomplete. We hypothesize that the extent of clonal evolution, baseline transcriptional state, and the overall and clone-specific growth kinetics of CLL will vary under native conditions or following exposure to chemotherapy and targeted therapy. METHODS We report the systematic genomic analysis of leukemia-normal whole-exome sequencing (WES) of 420 samples collected from 170 patients who were >65 years of age with treatment-naïve CLL. The treatment-cohort consisted of 83 patients who received ibrutinib (420mg daily) and 40 patients who received chlorambucil (0.5 mg/kg up to maximum 0.8 mg/kg, on days 1 and 15 of a 28-day cycle, up to 12 cycles) as part of the RESONATE-2 trial (NCT01722487). The ‘watch and wait’ (WW) cohort comprised 47 age-matched patients whose samples originated from the CLL Research Consortium and were untreated for their CLL during sampling. Sampling occurred at baseline and at day 300, and/or day 600, following initiation of therapy or following a diagnosis of CLL for those in the WW cohort. The WW cohort had more cases with a mutated IGHV (72% vs 40%), del17p (14% vs 0%), and del13q (72% vs 45%) when compared to the treatment cohort. Baseline CLL RNA-seq data were available for 150 patients. We used PhylogicNDT to reconstruct the clonal architecture from WES. By determining the fraction of cancer cells with each mutation (cancer cell fraction [CCF]) and their multiplicities (number of DNA molecules carrying a mutation per cancer cell), subclones were identified through clustering of CCFs of mutational events across samples from each patient. This allowed us to estimate the phylogenetic relationships and significant clonal shifts (defined as a distribution shift of CCF in a subclone of >95% between two timepoints, corresponding to a median ΔCCF of 18%) for each patient's CLL and to relate these shifts to somatic and clinical features. RESULTS In total, we identified 791 subclonal clusters across the three patient cohorts (ibrutinib = 406, chlorambucil = 189, WW = 196). We observed higher rates of significant clonal shifts between any two time points in patients exposed to chlorambucil (68%, q=0.008) and ibrutinib (77%, q<0.0001) when compared to patients on WW (36%). There was no significant difference in the number of patients exhibiting a clonal shift between those receiving ibrutinib and chlorambucil (q=0.3). More patients treated with ibrutinib (54%, q=0.0002) and chlorambucil (50%, q=0.004) harbored a clone that reduced in size than those on WW (17%). More patients treated with ibrutinib (71%, q<0.0002) and chlorambucil (55%, q=0.12) possessed at least one clone that increased in size during therapy than patients receiving WW (34%). In ibrutinib-treated patients, SF3B1 mutations (q=0.13, 14% vs 5%) and XPO1 mutations (q=0.13, 5% vs 0.3%) were enriched in subclones that significantly reduced over the complete time period. We also observed more BIRC3 mutations in subclones that had a significant shift in CCF when compared to subclones that remained stable over time (q=0.2, 5% vs 2%). Consistent with the overall study, with 8 years of follow-up in this patient subset, long-term progression-free survival (PFS) was significantly higher in the patients treated with ibrutinib when compared to chlorambucil (P<0.0001). This PFS benefit was also seen regardless of subclonal growth patterns. Using baseline RNA-seq data, we identified 7 of the 8 recently defined CLL expression clusters (EC), that were identified in the context of chemoimmunotherapy for CLL (Knisbacher et al. Nat Gen 2022), and could recapitulate the relationship to outcomes in individuals treated with chlorambucil. However, despite the larger cohort, no significant relationship between EC clusters and PFS were observed in ibrutinib-treated patients, suggesting that a distinct predictive baseline transcriptional signature may be present in ibrutinib-treated patients. CONCLUSION Our analyses highlight the need to interrogate the molecular features of CLL in relation to the impact of therapeutic selective pressure imposed by BTK inhibition, which appear distinct from exposure to chemotherapy. Ongoing analyses aim to identify relationships between patterns of growth and subclonal growth rates molecular and clinical features.

Introduction: Systems-based hematology (SBH) is an emerging field focused on improving hematology care delivery through quality improvement (QI) and health systems science (HSS). However, a universal definition and standardized training curriculum are lacking. This study aimed to explore experts' perspectives on defining SBH, identify core knowledge and skills, and discuss challenges and opportunities in developing a curriculum. Methods: Semi-structured interviews were conducted with eight hematologists who have expertise in SBH through practical experience, scientific publications, and serve on related committees for the American Society of Hematology. These interviews were automatically transcribed through Microsoft Teams. Thematic analysis, using both inductive and deductive coding, was employed to identify themes and subthemes from the verbatim interview transcripts. This was accomplished with a large language model (LLM; Google Gemini Advanced, June 2024). Results: In combination, these semi-structured interviews lasted approximately 400 minutes and generated 231 pages of transcript text with 63117 words for analysis. Five main themes and associated subthemes were identified. (1) Defining SBH: experts highlighted the lack of a universal definition for SBH, emphasizing the reason it is often defined by its functions, such as improving healthcare delivery, ensuring appropriate use of resources, and addressing disparities in care. They often compared SBH to other fields like antimicrobial stewardship or implementation science to illustrate its expansive role and scope. (2) The Role and Scope of SBH: experts described SBH as encompassing a broad range of activities, including improving healthcare delivery, implementing QI initiatives, conducting pragmatic research, and advocating for policy changes at various levels. They emphasized the importance of data-driven approaches and collaboration with other healthcare professionals. (3) Training and Education in SBH: the lack of formal training programs and curricula for SBH was a recurring theme. Experts suggested that a comprehensive curriculum should include QI methodologies, implementation science, clinical informatics, health economics, leadership skills, and hematology-specific examples and case studies. They proposed various delivery methods, including asynchronous online modules, virtual workshops, and in-person sessions, targeting hematology fellows, junior faculty, and other healthcare professionals involved in hematology care. They unanimously agreed that a SBH curriculum could borrow heavily from an established HSS curriculum but should incorporate hematology-specific examples. (4) Challenges and Barriers to Implementing SBH: experts identified several challenges, including the lack of awareness and recognition of SBH among healthcare professionals and administrators, resource constraints, and the need for institutional buy-in. They also highlighted the technical difficulty of measuring and demonstrating the value of SBH interventions, particularly in terms of cost savings and improved patient outcomes. (5) The Future of SBH: despite the challenges, experts expressed optimism about the future of SBH, predicting its growing importance and expanding scope, including malignant hematology, community practice, and pediatrics. They envisioned SBH playing a crucial role in addressing rising healthcare costs, quality concerns, and disparities in care. They also anticipated the integration of new technologies like artificial intelligence, “virtual” care delivery, and molecular genetics into SBH practice. Conclusions: This study provides valuable insights into the current state of SBH and the need for a standardized curriculum. The findings can inform the development of educational resources and training programs to equip future practitioners with the necessary knowledge and skills to effectively practice SBH and improve hematology care delivery. This study also sheds light on the utility of qualitative research within SBH and the emerging analytical tools that will require further exploration and standardization (e.g., LLM prompt engineering).

Background: Flow cytometry (FC) is widely utilized for the identification of minimal residual disease (MRD) in B acute lymphoblastic leukemia (BALL), providing an essential laboratory indicator for prognostic assessment and therapeutic management. Unfortunately, the high level of expertise required, long manual analysis time, and complexity of FC data files limit the offering of this testing to selected reference laboratories. Methods: We developed an artificial intelligence (AI) pipeline to automatically enhance unaltered FC files, minimizing the expertise and manual analysis time needed to detect BALL-MRD on a single-tube 10-color panel (CD10, CD19, CD20, CD22, CD24, CD34, CD38, CD45, CD58, CD66c). Raw FC files corresponding to peripheral blood or bone marrow specimens from 171 BALL MRD positive cases (MRD < 5%, median = 0.11%, 107 patients), and 89 MRD-negative cases (63 patients) were processed through our CCADDAS (Clustering and Classification of All events, Dimensionality reduction, Downsampling and Aberrancy Scaling) pipeline on a cloud environment (Google Vertex AI). Automated processing steps included elimination of acquisition errors (FlowCut), state-of-the-art clustering (PARC), dimensionality reduction (UMAP), cluster-based anomaly detection compared to negative controls (24 bone marrow aspirates and 7 peripheral bloods), and cluster-informed downsampling with preservation of low-event subsets. In addition, a deep neural network (DNN) trained on expert-defined subpopulations from negative controls was included for automatic gating of normal subsets (Tensorflow v2). AI-enhanced data files were analyzed using a general purpose flow cytometry analysis software (Kaluza v 3.5, Beckman Coulter), and %MRD estimates compared to reported results based on expert analysis of original FC files. Results: Cluster-informed downsampling reduced the number of cells per case to be manually analyzed from 1.2 million to 155,884 cells on average (87% cellularity reduction); resulting in a smaller FC data file (from 64.5 MB to 13.7 MB; 79% data reduction). Importantly, low-level MRD events were adequately preserved after downsampling (median 100% retention for both MRD<0.01% and MRD 0.01-1%). True number of events were accurately estimated on gated subsets using an “upsampling factor” parameter [observed # events x mean (upsampling factor)]. Gating of normal subsets was completely automated using a DNN classifier parameter. Identification of MRD was aided by an AI-generated “aberrancy scale” parameter that discriminated BALL (median: 991) from both benign mononuclear cells (median: 486, p < 0.0001) and background B-lymphoid cells (median: 379, p < 0.0001), with a performance (AUC: 0.98 and 0.94 for mononuclear and B-lymphoid cells, respectively) superior to CD20 (0.54 and 0.69), CD38 (0.60 and 0.81), CD45 (0.75 and 0.74), CD58 (0.52 and 0.89), CD66c (0.56 and 0.72) and all other antigens studied. The use of AI-enhanced files reduced manual analysis time from 14.16 minutes (SD = 3.7) to 1.05 minutes (SD = 0.6) per case, on average (p < 0.0001) (93% reduction). BALL MRD was detected in all positive cases above clinically relevant threshold (≥0.01%, as recommended by NCCN guidelines), and in 28 of 32 (88%) cases below this threshold, with excellent quantitative correlation with conventional analysis on original FC files (linear regression slope = 1.18, intercept = 0.04%, R squared = 0.92, P < 0.0001). Conclusion: We introduce a largely unsupervised AI pipeline that transforms raw BALL-MRD FC data into a markedly smaller, AI-annotated and software-agnostic FC file, including comparison to normal controls. This CCADDAS pipeline simplifies and accelerates detection of BALL-MRD in clinical diagnostics, reducing number of cells analyzed by 87% and manual analysis time by 93%, without impacting test performance. Moreover, CCADDAS can be utilized for any labroatory-developed BALL-MRD assay, and its small-sized export is compatible with any clinical FC software, computing platform and analysis strategy. Adoption of CCADDAS is likely to facilitate the implementation of BALL-MRD FC analysis by more clinical laboratories.

BACKGROUND ELRA is a humanized, BCMA/CD3 bispecific antibody. In the phase 2 registrational MagnetisMM-3 (MM-3) trial, SC ELRA given as 2 step-up priming doses (12 mg on day 1 and 32 mg on day 4 of cycle 1) followed by 76 mg QW in patients (pts) with RRMM naive to BCMA-directed therapy resulted in an ORR of 61.0%. With a median follow-up of 28.4 mos, the median DOR, PFS, and OS were not reached (NR; 2-year rate, 66.9%), 17.2, and 24.6 mos, respectively. Overall, 56.3% of pts had CRS (grade 2, 14.3%; no grade ≥3). Most events occurred after doses 1 (44.5%), 2 (20.2%), and 3 (5.9%); 0.8% (1 pt) had CRS with doses ≥4. Recurrent CRS occurred in 15.1% of pts. The phase 1/2 MagnetisMM-9 (MM-9; NCT05014412) study is examining an alternative priming regimen and longer dosing intervals of ELRA. Here, we present updated MM-9 results. METHODS In MM-9, pts with RRMM and disease refractory to ≥1 IMiD drug, ≥1 PI, and ≥1 anti-CD38 antibody were given SC ELRA as step-up priming doses of 4 and 20 mg on Day 1 and Day 4 of Cycle 1, respectively. After the priming doses, ELRA 76 mg was given QW for the next 6 cycles (Part 1) or for 1 cycle followed by 116 (dose level 1 [DL1]) or 152 (dose level 2 [DL2]) mg Q2W for the next 5 cycles (Part 2A). After 6 cycles, the dosing frequency was decreased from QW to Q2W (Part 1) or from Q2W to Q4W (Part 2) in pts who achieved ≥PR lasting ≥2 months. The recommended phase 2 dose from Part 2A (152 mg, DL2) was evaluated in Part 2B (dose expansion). The primary endpoint for both parts is grade ≥2 CRS rate per ASTCT criteria during Cycle 1. Secondary endpoints include evaluation of efficacy and adverse events. Data cutoff: February 13, 2024. RESULTS Overall, 85 pts (median age, 64.0 y) were treated with ELRA. The majority (72.9%) of pts had R-ISS stage I/II disease (23.5% with R-ISS stage III); 31.8% had high-risk cytogenetics. Median number of prior lines of therapy was 5.0 (range, 1-12). The median treatment duration was 8.6, 2.9, 1.4, and 3.3 mos, in Part 1, Part 2A DL1, Part 2A DL2, and Part 2B, respectively. Median follow-up for pts overall (n=85), in Part 1 (n=33), Part 2A DL1 (n=12), Part 2A DL2 (n=11), and Part 2B (n=29) was 10.4, 23.3, 16.5, 15.2, and 9.3 mos, respectively. Overall, the ORR was 58.8%. For pts in Part 1, Part 2A DL1, Part 2A DL2, or Part 2B, ORR was 66.7%, 58.3%, 36.4%, and 58.6%, respectively; median DOR was NR (9-mo rate: 86.4%), 10.8 mos (9-mo rate: 80.0%), NR (9-mo rate: 100.0%), and NR (9-mo rate: 84.8%); median PFS was 17.1 (9-mo rate: 62.8%), 11.6 (9-mo rate: 50.9%), 1.6 mos (9-mo rate: 40.0%), and NR (9-mo rate: 57.1%); median OS was NR (9-mo rate: 75.8%), 17.4 mos (9-mo rate: 66.7%), NR (9-mo rate: 60.0%), and NR (9-mo rate: 72.4%), respectively. For pts in Part 1, Part 2A DL1, Part 2A DL2, and Part 2B, grade ≥2 CRS rates during Cycle 1 were 15.2%, 16.7%, 27.3%, and 6.9%, respectively. For pts in Part 1, Part 2A DL1, Part 2A DL2, and Part 2B, CRS rates were 30.3%, 33.3%, 36.4%, and 24.1% after dose 1, 27.3%, 25.0%, 36.4%, and 24.1% after dose 2, 15.2%, 33.3%, 27.3%, and 20.7% after dose 3, 6.1%, 8.3%, 0%, and 3.4% after dose 4, and 6.1%, 16.7%, 9.1%, and 0% after doses ≥5. Recurrent CRS occurred in 18.2%, 33.3%, 18.2%, and 17.2% of pts in Part 1, Part 2A DL1, Part 2A DL2, and Part 2B. The most common (>60%) TEAEs (any grade/grade ≥3) were hematologic TEAEs (Part 1, 75.8%/75.8%; Part 2A DL1, 83.3%/83.3%; Part 2A DL2, 81.8%/81.8%; Part 2B, 79.3%/69.0%), infections (Part 1, 78.8%/48.5%; Part 2A DL1, 83.3%/66.7%; Part 2A DL2, 72.7%/63.6%; Part 2B, 62.1%/37.9%), and CRS (Part 1, 60.6%/0%; Part 2A DL1, 83.3%/0%; Part 2A DL2, 90.9%/9.1%; Part 2B, 48.3%/0%). Grade 5 TEAEs not including PD were infection (n=4), fall (n=1), subdural hematoma (n=1), and food poisoning (n=1). CONCLUSIONS The 4/20 mg step-up priming regimen and alternative dosing schedules in MM-9 resulted in similar efficacy vs the step-up regimen used in the registrational MM-3 study (12/32 mg). Responses were durable with encouraging PFS and OS with the alternative step up and longer dosing schedule. While the overall safety signals with the alternative step up regimen are similar to those seen with MM-3, the CRS profile differed with more CRS events after each subsequent dose and a higher prevalence of recurrent CRS. Thus, the optimal ELRA step-up regimen remains 12/32 mg from the original regimen in the MM-3 study. In addition, these early results suggest that reducing the dose frequency of ELRA may not compromise efficacy.

Introduction: Richter transformation is the development of an aggressive lymphoma, most commonly diffuse large B-cell lymphoma, in patients (pts) with chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL). Transformation into Hodgkin lymphoma (HT) is a rare event and outcomes in pts with this complication in the current CLL/SLL therapeutic era of small molecule inhibitors (SMI; e.g., Bruton tyrosine kinase inhibitors [BTKi] and BCL2 inhibitors [BCL2i]) are unknown. Methods: We conducted a retrospective study of pts from 12 academic centers. Pts with HT who had not previously received chemotherapy for CLL/SLL-directed treatment (tx) were included. Pt, disease, and tx characteristics were collected. HT was categorized into 3 groups: “Concurrent HT,” defined as HT and CLL/SLL diagnosed simultaneously (within 3 months); “HT without prior CLL/SLL tx,” defined as HT and CLL/SLL diagnosed >3 months apart with the CLL/SLL never treated; and “HT with prior non-chemotherapy tx for CLL/SLL” defined as having received non-chemotherapy CLL/SLL-directed tx prior to the diagnosis (dx) of HT. Overall survival (OS) was measured from HT dx and estimated using the Kaplan-Meier method. Cox regression model was used to identify prognostic factors associated with OS. Results: Within a total cohort of 402 pts with Richter transformation (all histologies) without prior chemotherapy, 41 pts with HT (10%) were identified: 12 with concurrent HT, 10 with HT without prior CLL/SLL tx, and 19 with HT with prior non-chemotherapy tx for CLL/SLL. The median age at CLL/SLL dx was 62 years (range 31-96 years) and 73% were male. At CLL/SLL dx, 67% (14/21 evaluated) had unmutated IGHV, and 24% (8/34 evaluated) had TP53 disruption (del(17p) and/or TP53 mutation). The median age at HT dx was 65 years (range 31-96 years) among all pts. At HT dx, there was no significant difference in highest SUV on PET (median 12.3, range 3-31.1), lactate dehydrogenase (LDH) level (median 242 U/L, range 112-859 U/L), or lymph node longest diameter (median 4.6 cm, range 1.6-25 cm) among the 3 subgroups. The median time from CLL/SLL dx to HT dx was 5.4 years (range 0.3-16.5 years) in pts with HT without prior CLL/SLL tx and 4.2 years (range 0.5-17.3 years) in pts with HT with prior non-chemotherapy tx for CLL/SLL. The median number of prior non-chemotherapy CLL/SLL-directed tx was 1 (range 1-6) and included BTKi only (n=17) and BTKi and BCL2i sequentially (n=2); no patient had received only prior BCL2i. Among the 19 pts with HT with prior non-chemotherapy tx for CLL/SLL, 18 pts were on active tx at time of dx (17 BTKi, 1 BCL2i). Initial HT management included: doxorubicin, bleomycin, vinblastine, dacarbazine (ABVD; n=16), brentuximab vedotin (BV)-AVD (n=10), radiation only (n=2), other systemic tx (n=11), and supportive cares / hospice (n=2). All but 1 of the 11 other systemic tx were various HL tx regimens. Across all pts with available data (n=32), the overall response rate to 1st line HT tx was 78% (69% complete response rate); 13% had progressive disease and 9% (n=3; all with concurrent HT) died within 6 months without formal response assessment. A total of 11 pts received at least 1 additional line of therapy for HT, which included BV (n=4), an immune checkpoint inhibitor (n=1), or both (n=6) at any point beyond 1st line HT tx. Median follow-up from HT dx was 32.8 months (range 2.4-253.8 months). The 36-month OS for the entire cohort was 75% (95% CI: 55-87%). The 36-month OS estimates by subgroups were: 62% (95% CI: 26-84%) in pts with concurrent HT, 100% in pts with HT without prior CLL/SLL tx (no events by 36 months), and 67% (95% CI: 33-87%) in pts with HT with prior non-chemotherapy tx for CLL/SLL. Exploratory univariable analysis identified TP53 disruption at CLL dx (HR 12.36; 95% CI: 2.55-59.84) and lymph node longest diameter (HR 1.32 per 1 cm increase; 95% CI: 1.12-1.55) and LDH 2-fold increase (HR 3.97; 95% CI 1.24-12.68) at HT dx as prognostic for worse OS. HT subgroup was not prognostic. Conclusions: This is the largest report of outcomes in pts with CLL/SLL who develop HT following SMI tx without any prior chemotherapy, representing a contemporary cohort. Prior CLL/SLL tx status was not associated with OS; however, cautious interpretation is required given the sample size. Our findings support the use of appropriate HL-directed treatment in the setting of HT; however, OS estimates remain worse than would be expected in an older adult de novo HL cohort (Cheng Blood Adv 2022).

Introduction: Treatments for R/R MCL have evolved with NTs, including BTK inhibitors (BTKis). Little is known about RW treatment patterns and clinical outcomes of pts with R/R MCL for chemoimmunotherapy (CIT) vs NTs among pts of different race/ethnicity. Data on RW testing and clinical outcomes of pts with R/R MCL harboring a TP53 mutation are limited. Methods: This retrospective cohort study included adult pts with R/R MCL who initiated second-line (2L) or third-line (3L) treatment on 1/1/2018 or later and were followed up until loss to follow-up, death, or data cut-off using US Flatiron Health electronic health record-derived de-identified databases. Median RW time to next treatment (mrwTTNT) and median RW overall survival (mrwOS) were estimated based on Kaplan-Meier analyses and adjusted for age and sex. CIT included any MCL treatment with chemotherapy + anti-CD20 antibody. NTs included BTKis, BCL2 inhibitors, lenalidomide, bortezomib, and CAR-T, or combinations. Results:This study included 1,377 pts with R/R MCL who received 2L+ therapy. Of these, 1,028 (75%) were non-Latinx (NL)-White, 53 (4%) were NL-Black, 86 (6%) were Latinx, 108 (8%) were NL-Asian or other race, and 102 (7%) were of unknown/undocumented race. The overall 2L+ population had a median age of 71 y (range 63-78), were mostly male (74%), had a diagnosis of MCL not otherwise specified (NOS; 85%), and had stage IV disease (62%). Sixty-three percent had disease progression within 24 mo from first-line (1L) treatment (POD24) before starting 2L therapy. Relative to all pts, NL-Black and NL-Asian/other race pts had more variants of MCL (blastic, leukemic, pleomorphic) and higher Ki67% and lactose dehydrogenase (LDH) levels at 2L/3L index date. In contrast, Latinx pts had more MCL NOS (92%) and lower Ki67% and LDH levels at 2L index date. More NL-Black and unknown race pts had POD24 than did other races (70% and 76%, respectively). Overall, the most common NTs used were BTKis. 1L treatments were bendamustine-rituximab (BR; 54%), R-CHOP (18%), and cytarabine-containing CIT (9.7%). The most common 2L treatments were BR (32%), acalabrutinib (31%), ibrutinib (21%), zanubrutinib (11%), and RCHOP (11%). The most common 3L therapies were BR (34%), acalabrutinib (21%), zanubrutinib (12%), ibrutinib (10%), R-CHOP (9.2%), and brexucabtagene autoleucel (7.4%). Transplantation rates before 2L and CAR-T use in 3L was highest among White pts. When assessing mrwTTNT and mrwOS by therapy in 2L, 766 pts (70%) received NTs and 333 (30%) received CIT. Among all pts, mrwTTNT (mo [95% CI]) was longer with 2L NT (11.9 [10.6, 14.5]) vs CIT (9.9 [8.1, 12.9]). NL-White, NL-Black, and NL-Asian/other race pts had longer mrwTTNT with NT (11.9 [10.5, 14.6], 12.9 [7.6, NR], and 14.6 [8.5, 21.4], respectively) vs CIT (9.9 [7.6, 12.9], 9.7 [3.0, NR], and 6.0 [3.2, 21.2]). Latinx pts had longer mrwTTNT with CIT (14.9 [11.8, NR]) vs NT (9.0 [3.8, 24.2]). Among all pts, mrwOS (mo [95% CI]) was longer with 2L CIT (43.0 [34.1, 56.5]) vs NT (35.6 [29.9, 41.2]). White and Latinx pts had longer mrwOS with CIT (47.3 [33.9, NR] and NR [33.3, NR], respectively) vs NT (35.0 [28.8, 48.4] and 42.3 [31.0, NR]). Black and Asian/other race pts had longer mrwOS with NT (41.2 [32.8, NR] and 38.8 [23.5, NR], respectively) vs CIT (34.8 [9.7, NR] and 13.5 [8.3, NR]). Among all 3L pts (n=364 on NTs, n=119 on CIT), mrwTTNT (mo [95% CI]) improved when using NTs (7.9 [6.8, 10.3]) vs CIT (4.4 [3.5, 6.9]). NTs demonstrated better mrwTTNT vs CIT in all race/ethnic groups except Latinx pts. For all race/ethnic groups, mrwOS was improved with NTs (32.5 [24.7, 42.6]) vs CIT (19.5 [13.7, 47.3]). Overall RW testing for TP53 aberrations was limited, with 72 pts (5%) found to be positive for a TP53 mutation. For pts with TP53 mutations, mrwTTNT and mrwOS were longer for 2L NTs (3.3 [2.2, 6.4] and 18.3 [9.0, NR], respectively; n=42) vs CIT (3.0 [1.9, 7.6] and 15.0 [7.2, NR]; n=16). Conclusions: High-risk features, treatment patterns, and clinical outcomes for NTs vs CIT in R/R MCL differed by race/ethnicity. Use of 2L+ NTs was associated with a trend towards improved mrwTTNT and mrwOS among NL-Black and NL-Asian/other race pts. NT use in 3L numerically improved mrwTTNT and mrwOS for most pts vs CIT. RW pts with TP53 mutations had a poor prognosis and numerically improved outcomes with the use of 2L NT, although testing remains limited. Future research evaluating reasons for these differences and increased RW TP53 testing is warranted.