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Introduction In the KarMMa-3 trial (NCT03651128), ide-cel, a BCMA-directed CAR T cell therapy (Tx), significantly improved median progression-free survival (13.3 vs 4.4 mo, HR 0.49, P < 0.001) and overall response rate (71% vs 42%, P < 0.001) vs std regimens in pts with RRMM who were TCE to immunomodulatory (IMiD ®) agents, proteasome inhibitors (PIs), and daratumumab (Rodríguez-Otero NEJM 2023). Early high-grade (gr) cytopenias and severe infections have been reported post-CAR T cell infusion (Logue Blood 2022, Thibaud Blood 2022), and persistent cytopenias and infections can pose clinical challenges in pt care. In this safety analysis of KarMMa-3, we report frequency, kinetics of occurrence, and management of cytopenias and infections post-Tx with ide-cel or std regimens. Methods This international, randomized, multicenter phase 3 trial enrolled pts with RRMM who received 2-4 prior Txs (an IMiD agent, a PI, and daratumumab) and were refractory to the last Tx. Pts were randomized 2:1 to ide-cel or a std regimen (DPd, DVd, IRd, Kd, or EPd) selected by investigator based on prior anti-MM Tx. In the ide-cel arm, pts could have ≤ 1 cycle of optional bridging Tx (BTx) for disease control. Treated population (pop; ide-cel: pts who received leukapheresis [LA], BTx, lymphodepleting chemotherapy, or ide-cel; std regimens: pts who received any dose of study Tx) was used to assess adverse events (AEs), gr 3/4 AEs, and serious AEs. Safety pop (pts who received ide-cel or any dose of std regimens) was used to assess treatment-emergent AEs, AEs of special interest, investigator-identified neurotoxicity/cytokine release syndrome and others. In pts who had documented disease progression on std regimens and then underwent LA to receive ide-cel, only AEs before LA were included. In this analysis, incidence of cytopenias and infections at various time intervals and management, types of infections, and incidence of hypogammaglobulinemia (HGG) were assessed. Results At data cutoff (Oct 3, 2022), median follow-up was 24.1 (range 5.9−41.0) mo in the 386 randomized pts. In the treated pop, 248/249 (99.6%) vs 124/126 (98.4%) pts had any-gr AEs, 234 (94.0%) vs 96 (76.2%) had gr 3/4, and 36 (14.5%) vs 9 (7.1%) had gr 5 in ide-cel vs std regimens arms, respectively. Of the gr 5 AEs, 18/36 and 3/9 had verbatim terms consistent with progressive disease. In the safety pop, incidence of gr 3/4 cytopenias with ide-cel were higher early after infusion but generally resolved over time (196 [87.1%] pts at < 3 mo, 52 [24.1%] pts at 3−< 6 mo, 30 [14.7%] pts at ≥ 6 mo; Table 1) vs std regimens, which showed lower rate of resolution over time. More pts in the ide-cel (16 [7.1%]) vs std regimens arms (3 [2.4%]) had any-gr febrile neutropenia. Cytopenias were mainly managed using colony-stimulating factor in both arms (55.5% and 58.7%, respectively); RBC (48%) and platelet transfusions (32%) were more common in the ide-cel arm. Overall, incidence of gr 3/4 infections was high at < 3 mo and remained consistent over time in both arms (ide-cel: 17 [7.6%] pts at < 3 mo, 18 [8.3%] pts at 3−< 6 mo, 13 [6.4%] pts at ≥ 6 mo; Table 2). Any-gr bacterial infections were more common in the ide-cel vs std regimens arms with higher incidence at < 3 mo (10% vs 6%) but lowered at later timepoints. Incidence of gr ≥ 3 viral infections remained low and consistent with time; fungal infections were uncommon. Deaths due to infections occurred in 3 (1.3%) vs 1 (0.8%) pts at < 3 mo, 0 pts at 3−< 6 mo, and 7 (3.4%) vs 2 (2.6%) pts at ≥ 6 mo in the ide-cel vs std regimens arms, respectively. Indence of any-gr new HGG was higher in the ide-cel vs std regimens arms but decreased over time: 15 (6.7%) vs 2 (1.6%) pts at < 3 mo, 3 (1.4%) vs 1 (0.9%) at 3−< 6 mo, and 5 (2.5%) vs 0 at ≥ 6 mo, respectively; of these, 13 (5.8%) vs 1 (0.8%), 2 (0.9%) vs 1 (0.9%), and 5 (2.5%) vs 0 pts received IV immunoglobulin replacement Tx at the respective time intervals. Incidence rate (% per 100 pt-years, 95% CI) of second primary malignancies remained low and similar between arms (ide-cel, 4.0 [2.4−6.7]; std regimens, 4.4 [1.9−10.7]). Conclusion In KarMMa-3, most severe cytopenias associated with ide-cel occurred early, with a low incidence of prolonged cytopenias; all were largely manageable. Any-gr bacterial infections decreased over time while viral infections remained the same. No new safety concerns were identified for ide-cel; safety profile was consistent with previous reports. Study support 2seventy bio and Celgene, a Bristol-Myers Squibb Company.

Introduction: We previously showed that HIV associated EBV negative (-) diffuse large B-cell lymphomas (DLBCL) of germinal center origins (GCB) have enhanced genomic stability and increased expression of DNA repair genes compared to their HIV negative counterparts (Maguire et al 2019). Given that immune deficiency can be induced virally or therapeutically, including the administration of immunosuppressive drugs post solid organ or hematopoietic stem cell transplant, we questioned whether these observations are specific to HIV or if they represent a more global immune impaired signature. Here we assessed the genomic stability of monomorphic DLBCL post-transplant lymphoproliferative disorders (PTLD) and the potential role of DNA repair. Methods: A total of 49 monomorphic DLBCL PTLDs (26 EBV(-), 23 EBV positive (+)) and 170 immune competent (IC) DLBCL (EBV status unknown) were studied. All were pathologically reviewed and samples with <60% tumor content were macro-dissected before RNA/DNA extraction. Cell of origin (COO) profiles were assessed using the DLBCL90 molecular assay which can distinguish primary mediastinal B-cell lymphoma (PMBL) from GCB, Activated B-cell (ABC) and unclassified (UNC) DLBCL (Ennishi et al 2019). NanoString gene expression profiling (GEP) was performed using the PanCancer Pathways panel and analyzed using NanoString nSolver Advanced Analysis. Copy number (CN) analysis was performed on a subset of samples (45 PTLD, 41 DLBCL) using the OncoScan CN assay and analyzed using Chromosome Analysis Suite (ChAS) v4.1. All p-values listed were Benjamini-Hochberg adjusted and Mann-Whitney tested for the GEP and CN data respectively. Results: In contrast to IC-DLBCL which are GCB enriched (50%), COO profiling revealed PTLD to be ABC enriched (43%). CN analyses revealed that the median CN/sample for PTLD (0.57, p<0.001), EBV(+)PTLD (0.25, p<0.001) and EBV(-)PTLD (0.80, p = 0.050) tumors were significantly less aberrant than IC-DLBCL (1.01). The data also showed that EBV(+)PTLD are less aberrant than EBV(-)PTLD tumors (0.25 vs 0.80, p<0.001). GEP pathway analysis identified DNA repair as downregulated in PTLD and EBV(+)PTLD but upregulated in EBV(-)PTLD compared IC-DLBCL. Nine DNA repair genes ( RAD51, CCNA2a, CHEK1b, POLR2Da, PCNAa, WHSC1a, GTF2H3a, ATM c, EP300 c) were differentially expressed (DE) in EBV(-)PTLD compared to IC-DLBCL (7 increased, 2 decreased, p ≤ 0.0425): where the most overexpressed gene RAD51, a critical mediator of Homologous Recombination (HR) and the Fanconi Anemia (FA) DNA repair pathways, was not DE in PTLD or EBV(+)PTLD compared to IC-DLBCL. Five a genes were increased in PTLD (p ≤ 0.0204) but not EBV(+)PTLD, 1 b was decreased in EBV(+)PTLD (p = 0.01) but not PTLD and 2 c were reduced in PTLD regardless of EBV status compared to IC-DLBCL (p ≤ 0.0024). Twenty-8 genes were DE in EBV(+)PTLD compared to IC-DLBCL. Of these, 23 were downregulated (p ≤ 0.0418) and included HR, FA and mismatch repair genes ( CHEK1, CHEK2, BRAC1/FANCS, FANCA, FANCB, FANCE, MSH2, MSH6). All but 2/23 were similarly expressed in PTLD compared to IC-DLBCL of which 11 were significant (p ≤ 0.0356). The five upregulated genes ( ZBTB32, DDB2, NBN, POLB, RBX1, p ≤ 0.0092) were also upregulated in PTLD (p ≤ 0.0042) but not EBV(-)PTLD compared to IC-DLBCL. Two additional genes ( SKP1, FBXW7) were also identified as increased in EBV(+)PTLD and PTLD (p ≤ 0.0204) compared to IC-DLBCL. In contrast, SKP1 was increased (p = 2.7E-4) and FBXW7 was decreased (p = 0.3610) in EBV(-)PTLD compared to IC-DLBCL. Together the protein products of RBX1, SKP1 and FBXW7 comprise the functional cores of a complete UPS complex, the SCF FBXW7 E3 ubiquitin ligase which have been reported to regulate the DNA damage response and promote genomic stability. Conclusions: Like HIV associated DLBCL, these results show that PTLD is more genomically stable than IC-DLBCL, and that genomic stability is further enhanced in EBV(+)PTLD which have increased expression of UPS related genes. In contrast, EBV(-)PTLD have increased expression of DNA damage repair genes, including RAD51. In summary, monomorphic DLBCL PTLD tumors have enhanced genomic stability that appears to be mediated by two distinct mechanisms stratified by EBV status. Further work is required to assess if this stratification of mechanisms is unique to PTLD or reflects a more global immune impaired EBV related signature.

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 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: A total of 95 adult (≥18 years) pts from 8 academic institutions in the United States diagnosed from 2010-2022 were included in the analysis. The study was approved by the Institutional Review Boards at the respective sites. Demographic and disease factors were summarized by descriptive statistics. Overall survival (OS) was estimated by Kaplan-Meier method and compared using log rank method. Results: In our cohort, the median age at diagnosis was 63 (range 18-93) years. The majority of pts were male 60%, white 79%, and had good performance status (PS) ECOG 0-1 (93%). Median time from initial presentation to diagnosis was 1.8 (range 0-211) months. Most common initial skin presentation was tumor 46% (44/95), followed by plaques 27% (26/95) and patches 15% (14/95). No pt presented with erythroderma. Median size of the largest lesion was 2 (range 0.5-20) cm. 63% had early stage (IA-IIA) disease and 86% had <5 skin lesions at the time of initial diagnosis. Furthermore, palpable lymph node (LN) (10%) and elevated LDH (18%) were uncommon at diagnosis. Initial treatments include localized radiation 60%, surgical excision 21% and topical steroids 11%. A small subset of pts received systemic treatments like CHOP 13% (12/95), BV 8% (8/95) and oral methotrexate 7% (7/95) as frontline therapy. A proportion of pts received XRT with CHOP (6/12) and BV (2/8). The overall response rate (ORR) to initial therapy was 68% (65/95) with 61% achieving a CR and 17% had primary refractory disease (stable and progressive disease). Relapse rate after 1st line therapy was 52% (49/95). In our cohort a total of 22 pts received BV after frontline therapy, of which 19 were BV naïve and 3 were re-treated. At the time of last follow up, 27% of our cohort were still on treatment, 78% were alive and 21% were dead; only 3% of deaths were attributed to the lymphoma. The median OS was 128 months (95% CI: 78.4-NA) (Figure 1) with a median follow up of 42 (range 0.5-123.5) months. The 5-year OS was 77%. On univariate analysis, older age (≥65 vs <65 years) (median OS 78 vs 128 months; p=0.004) and higher number of lesions (5-10 vs <5) (mOS 34 vs 128 months; p=<0.0001) were significant associated with OS (Table 1). Type and size of the skin lesions, presence of palpable LN, elevated LDH, stage, and treatment modalities had no impact on OS. Results of multivariate analysis will be presented at the conference. Conclusion: In this large multicenter RWA of PCALCL, excellent long-term survival was observed following frontline therapies that were mostly skin directed. The use of systemic therapies including BV were infrequent even in relapsed disease. Older age and increased number of skin lesions were associated with poor OS.

Introduction: Pancreatic ductal adenocarcinoma (PDAC) is one of the most devastating cancers, and therapies to treat this malignancy have not evolved rapidly to fulfill the need of affected patients. PDAC, like many solid malignancies, is considered a “cold immunological tumor” where the lack of targetable tumor-associated antigens has hampered the development of successful immunotherapies. Despite newer treatment approaches, PDAC patients with advanced disease have a dismal prognosis. Therefore, there is an urgent need to develop new therapies. Plectin-1 is a high molecular weight protein (∼500 kDa) that participates in cytoskeleton network organization linking intermediate filaments to microtubules and microfilaments. Plectin-1 is aberrantly expressed in the PDAC cellular membrane, contributes to PDAC pathogenesis, and confers a poor prognosis. Plectin-1-targeting peptides (PTP) in mice and humans have been successfully explored for their use in PDAC imaging and targeted payload delivery (small molecules, radioisotopes, and chemotherapy). We sought to take advantage of the specific binding of PTP and develop a peptide-based plectin-1 chimeric antigen receptor (CAR), and test T-cell transduced with this construct in vitro against PDAC cell lines. Methods: Using in silico tools, we optimized different pepto-CAR constructs and selected one that showed the highest levels of cytotoxicity against plectin-1-expressing PDAC cell lines. A myc tag was incorporated in the hinge region for flow cytometry or western blot detection. The intracellular signaling domain of these CAR sequences included 4-1BB and the zeta chain of the CD3 molecule ( Figure 1A). Plasmids containing the CAR sequence were packaged on lentivirus particles using HEK293T cells. Purified plectin-1 CAR lentiviruses were used to transduce T-cells derived from human peripheral blood T-cells obtained and purified from healthy donor whole blood. The expanded CAR T-cells were used for cytotoxic experiments against different cell lines. Results: Expression of plectin-1 CAR was confirmed by flow cytometry using an anti-myc tag antibody ( Figure 1B). Plectin-1 expression was analyzed in different pancreatic cancer cell lines, and the BxPC-3 cells showed the highest expression level ( Figure 1B). Using a luciferase-based assay, we plated 50,000 BxPC-3 cells per well in duplicates with different effector-to-target (E:T) ratios. After 24 hours, luciferin was added, and the plate was read using a luminometer. As a negative control for effector cells, we use T-cells without a CAR ( Figure 1B), and for the target cells, we use the plectin-1 negative lung cancer cell line A549 ( Figure 1B). Plectin-1 CAR T-cells effectively killed BxPC-3 cells at different E:T ratios in a specific manner compared with controls using unmodified T-cells. Furthermore, no cytotoxicity was observed against plectin-1 negative A549 cells ( Figure 1A). Conclusion: Our results show that a novel peptide-based CAR construct design against plectin-1 can induce specific cytotoxicity on plectin-1 expressing PDAC cell line BxPC-3. Furthermore, these data demonstrate the feasibility of using a CAR with a peptide-based antigen binding domain instead of the traditional antibody-derived scFv. This novel peptide-based CAR design offers alternatives for cellular therapy bioengineering. Moreover, our results can significantly impact immune-oncology therapeutic applications, particularly in challenging diseases like pancreatic cancer. Figure 1 . A) In the above section, the Plectin-1 CAR construct is depicted. Cytotoxicity of unmodified T-cells and Plectin-1 CAR T-cells against BxPC-3 and A549 is shown below. B) Expression of Plectin-1 CAR in unmodified T-cells and Plectin-1 CAR T-cells is shown on the left. The expression of plectin-1 antigen on the surface of BxPC-3 cells and A549 cells is shown on the right. PTP: plectin-1 targeting peptide.

Background: Hypomethylating agent (HMA) and venetoclax (Ven) frontline therapy for acute myeloid leukemia (AML) is astandard of care for patients (pts) deemed to be poor candidates for intensive induction due to age or fitness. However, given its attractive risk-benefit ratio, there is an increasing interest to extend the preference for HMA + Ven to other pts, including those who are fit for intensive therapy but with adverse risk disease. Unfortunately, most pts treated in this fashion will require future therapies for relapsed/refractory (R/R) disease and intensive therapy is given consideration mostly for pts with a path to allogeneic hematopoietic stem cell transplantation (alloHCT). Little is known about the outcomes of pts who receive intensive induction therapy after use of a frontline less-intensive regimen in the modern era. In this multi-center study, we seek to describe the experience with such a patient population and identify predictors of differential clinical outcomes. Methods: We conducted a multi-center, retrospective study of pts with AML treated with frontline less-intensive chemotherapy, followed by intensive induction chemotherapy for R/R disease. We first described the baseline characteristics of this cohort. Nominal variables were summarized with frequency and percentage while continuous variables were summarized with median and interquartile range (IQR). Overall response rate (ORR) was defined as complete remission (CR), complete remission with incomplete count recovery, or morphologic leukemia free state. Differences in ORR were analyzed with Fisher's exact test for nominal variables and Wilcoxon rank-sum test was used for continuous variables. Kaplan-Meier analysis was used to determine median overall survival (OS) after induction chemotherapy. Log-rank testing and Cox proportional hazard models were used to determine survival differences for nominal and continuous variables, respectively. Statistical significance was determined as p-value <0.05. Results: A total of 23 pts were included in this study. Median age at diagnosis was 64 years (IQR: 62-71). The majority of pts were male (n=12, 52%), white (n=20, 87%), and had an Eastern Cooperative Oncology Group performance status (ECOG PS) of 0 or 1 (n=18, 82%). The majority of pts (61%) at time of frontline therapy had AML arising out of MDS. As expected, the majority of pts had adverse risk ELN cytogenetics (n=16, 70%) with an enrichment for disease harboring TP53 mutation (n=6, 27%) and complex karyotype (n=9, 39%). Fifteen pts (65%) had frontline therapy with azacitidine backbone, 6 pts (26%) with decitabine; some pts received both before intensive therapy. The median number of cycles of frontline therapy was 2 (IQR: 2-5). Median WBC at time of R/R therapy was 1.9 x 10 9/L (IQR: 0.8-6.45), while hemoglobin was 8.4 g/dL (IQR: 7.5-9.45), platelets were 41 x 10 9/L (IQR: 19.5-116.5), and marrow blasts were 25% (IQR: 16.5-30%). The plurality of pts received CPX-351 as intensive R/R therapy (n=9, 39%). Other regimens included 7+3 (n=2, 9%), FLAG-Ida + Ven (n=2, 9%), HiDAC + Mitoxantrone +/- Ven (n=4, 17%) ( Table 1). ORR after intensive R/R therapy was 27% (n=6), with 23% achieving CR. CPX-351 after HMA + Ven was specifically associated with an ORR of 33% (CR rate 22%). Median OS after initiation was 5.8 months. Thirty- and 60-day mortality was 17% and 26%, respectively. Five patients (23%) proceeded to alloHCT ( Table 1). Univariate differences in response rate and median survival were analyzed for each of the aforementioned variables as illustrated in Table 1. While none of the covariates reached statistical significance for impacting ORR or OS, ECOG PS trended towards significantly impacting OS ( p=0.074) and the median OS among patients proceeding to alloHCT was numerically doubled (8.0 vs. 4.0 months, p=0.11) ( Figure 1). Conclusions: Intensive therapy for R/R AML after prior frontline less-intensive therapy was associated with an ORR rate of 27% and median OS of 5.8 months in our cohort. This approach may be an appropriate strategy for a subset of pts, particularly those eligible for alloHCT. The relatively small and heterogeneous nature of this cohort limits strong conclusions regarding efficacy. As the use of frontline HMA + Ven continues to expand, further studies with larger sample size are needed to determine which pts would and would not benefit from intensive induction therapy in the R/R setting.

Background. Some patients who present with clinical features consistent with idiopathic hypereosinophilic syndrome (HES; absolute eosinophil count (AEC) ≥1.5 x 10 9/L with related end organ damage) are ultimately diagnosed with a myeloid neoplasm. Although FIP1L1::PDGFRA is the most common molecular abnormality in this setting, many other fusion genes, point mutations and cytogenetic abnormalities have been implicated in driving primary (neoplastic) eosinophilia. Given the poor prognosis of these disorders in the absence of treatment and the availability of targeted therapies for many of the driver mutations, it is becoming increasingly important to rapidly identify the underlying genetic alteration. In this regard, the expense and variable sensitivity of molecular diagnostic tests remains problematic. Although clinical features have been reported to distinguish between PDGFRA-associated myeloid neoplasms and D816V KIT-positive systemic mastocytosis with hypereosinophilia, little is known about the clinical phenotypes of other subsets of patients. This multicenter retrospective study aimed to assemble a large cohort of patients with HES secondary to a myeloid neoplasm to explore the utility of clinical and laboratory features in predicting the underlying molecular abnormality. Methods. Retrospective, de-identified data from 16 centers were collected via an online Research Electronic Data Capture repository. Patients and associated data were obtained from in-house research databases and/or electronic medical record searches at each site. Clinical and laboratory data were entered in accordance with local Institutional Review Boards. Inclusion criteria were peripheral blood hypereosinophilia (AEC >1.5 x 10 9/L) on at least two occasions and one of the following: ≥1 confirmed genetic abnormality recurrently associated with primary myeloid neoplasms, other evidence of clonal eosinophilia, or increased blasts (≥2% in the blood or >5% but <20% in the marrow). Patients with acute myeloid leukemia were excluded. Results. A total of 277 patients followed between 1990 and 2022 were included in the analysis. Median length of follow up was 31 months (range <1-356), and 217/277 (78%) were alive at last follow up. The most common genetic abnormality was FIP1L1::PDGFRA (n=131) followed by D816V KIT mutations (n=39) and alterations involving JAK2 (n=22) (Figure 1). Five patients had genetic abnormalities involving two distinct genes recurrently associated with eosinophilic myeloid neoplasms. The overall median age at diagnosis was 55 years (range 12-89) and 79% of the patients were male. When patients with abnormalities involving PDGFRA and PDGFRB were excluded from the analysis, the male predominance was significantly lower at 62% (p<0.001, Fisher's exact test as compared to the data set as a whole). The overall pattern of organ system involvement was similar irrespective of the underlying genetic abnormality with a few notable exceptions. Cardiac involvement was most common in patients with FIP1L1:: PDGFRA, abnormalities involving JAK2 or without pathologic alterations identified (reported in 22%, 32% and 30%, respectively); whereas skin and gastrointestinal involvement, lymphadenopathy and splenomegaly were most frequent in patients with KIT D816V. Laboratory abnormalities also differed between groups. Whereas anemia was the most common blood abnormality (reported in >50% of patients), erythrocytosis was noted primarily in patients with abnormalities involving JAK2. In contrast, circulating blasts were identified in 70% of patient with BCR::ABL1 and 29% of patients with chromosomal abnormalities or KIT D816V, but in <15% of patients in any of the other groups. Whereas peak AEC alone did not discriminate between the different patient groups, the AEC/tryptase ratio was increased in patients with PDGFRA-associated myeloid neoplasms, molecular abnormalities involving JAK2, or chromosomal abnormalities as compared to those with KIT mutations (Figure 2). Conclusions. Despite the limitations of retrospective data analysis, the data from this large multicenter cohort of patients with HES due to a chronic myeloid neoplasm suggest that routine demographic, clinical and laboratory features vary depending on the underlying molecular abnormality. This approach could ultimately help guide empiric therapy when molecular studies are negative or unavailable.

Background Primary mediastinal large B-cell lymphoma (PMBCL) is an uncommon type of non-Hodgkin lymphoma. Clinicopathologic features are distinct from diffuse large B cell lymphoma, but it shares some clinical and biologic features with Nodular sclerosis classic Hodgkin lymphoma. Central nervous system (CNS) relapse appears to be rare in patients with PMBCL, with limited literature reporting a rate of approximately 1.5% to 4%. We examined the incidence of CNS relapse, treatment approaches and survival outcomes in patients with PMBCL. Methods Patients with newly diagnosed PMBCL seen at Mayo Clinic between 2002 and 2022 were identified using the prospective Mayo Clinic Lymphoma Database. Clinical features, treatment details and outcomes were abstracted from the medical record. Cumulative incidence of CNS relapse was analyzed with death as a competing risk. The association of CNS-IPI, systemic treatment, and CNS prophylaxis approach with CNS relapse rate was analyzed using competing risk models and descriptively. Event-free survival (EFS) for the cohort was defined as time from PMBCL diagnosis to first recorded CNS and/or systemic relapse or death from any cause. Overall survival (OS) was defined as time from PMBCL diagnosis (or CNS relapse) to death from any cause. Survival analysis was performed using the Kaplan-Meier method. Results A total of 124 PMBCL cases were identified. The median age at diagnosis was 37 years and 61% were female. The distribution of CNS-IPI was low-risk in 67 (61%), intermediate-risk in 41 (37%), and high-risk in 2 (2%). 64 patients (52%) received R-CHOP and 54 patients (44%) received R-DA-EPOCH as frontline therapy. High-dose methotrexate (HD-MTX) for CNS prophylaxis was administered to 6 patients (5%), 5 with R-CHOP and 1 with R-DA-EPOCH. 16 patients received intrathecal (IT) chemotherapy (methotrexate and/or cytarabine) for CNS prophylaxis, 3 with R-CHOP and 13 with R-DA-EPOCH. The median follow-up was 56.0 months. The 5-year EFS rate was 75.1% and the 5-year OS rate was 90.7% for the entire cohort. 20 patients had systemic relapse only and 3 had CNS relapse. The cumulative incidence of CNS relapse was 1.84% (95% CI 0.46%-7.17%) at 2 years and 2.92% (95% CI 0.50%-8.84%) at 5 years (Figure 1). No statistically significant association of CNS-IPI, systemic therapy or CNS prophylaxis regimen with CNS relapse rate was found in competing risk models; however, this analysis was limited by a small event number (n=3). Among the 3 patients with CNS relapse, 1 had high-risk CNS-IPI and 2 had intermediate risk. All 3 patients were treated initially with R-CHOP. Two patients did not receive any CNS prophylaxis and 1 patient received IT CNS prophylaxis. All three patients who had CNS relapse were female. Patient #1 was diagnosed at age 48 and had simultaneous CNS and systemic relapse 6 months later. The patient was treated with HD-MTX, temozolomide and rituximab for CNS relapse, and subsequently received multiple therapies for systemic disease including R-DHAP, R-ICE, and died 17 months after CNS relapse. Patient #2 was diagnosed at age 22 and had CNS relapse after 8.7 months, followed by systemic relapse 2 months later. The patient received HD-MTX, temozolomide and rituximab for CNS relapse, followed by systemic and whole-brain radiation therapy (RT) for both systemic and CNS relapse. Subsequently the patient received salvage chemotherapy, autologous and allogeneic stem cell transplant for systemic relapse. The patient died 26.8 months after CNS relapse. Patient #3 was diagnosed at age 24 and had systemic relapse after 20.7 months, followed by CNS relapse 5.4 months later. The patient received methotrexate and whole-brain RT following CNS relapse and died 1.2 months after CNS relapse. Besides these 3 patients, we identified 6 PMBCL patients with CNS relapse who were diagnosed at other medical centers and subsequently referred to our institution for management of refractory disease. The survival after CNS relapse was poor, with a median OS of 10.4 months (95% CI 5.6-15.2). Conclusion Our study showed that the CNS relapse rate (1.84% at 2 years and 2.92% at 5 years) was overall low in patients with PMBCL, consistent with previous reports. CNS relapse was associated with poor survival despite aggressive treatment approaches. Novel approaches utilizing biological risk factors for CNS relapse, such as circulating tumor DNA, are needed to identify patients with CNS relapse.

Background: Skeletal related events (SREs) including pathologic fractures, surgery or radiation to bone, and spinal cord compression contribute to diminished quality of life in patients with multiple myeloma. Bone modifying agents (BMA) such as denosumab or the bisphosphonates zoledronic acid and pamidronate, are used to inhibit osteoclast activity to prevent SREs. The Bone Working Group of the International Myeloma Working Group suggests monthly administration of zoledronic acid for 12 months in newly diagnosed myeloma patients. This is followed by an option to discontinue or decrease administration frequency to every 3, 6, or 12 months if a very good partial response or better is achieved. The ideal start time of BMA from diagnosis and the duration of administration has not been adequately established to optimize reduction of SREs. Methods: This was a retrospective, single-center study that included newly diagnosed myeloma patients treated at the Mayo Clinic between 9/1/2018 and 9/1/2020 who had received at least one dose of a BMA. The primary objective was to evaluate the impact of BMA dosing frequency and duration on SREs. Secondary objectives included time to BMA initiation, time to relapse or progressions following BMA start, and safety. Data was summarized using frequencies and percentages for categorical data, and medians and interquartile ranges (IQR) for continuous data. A spline plot and cut-point analysis were used to assess the association of time from multiple myeloma diagnosis to BMA initiation with skeletal related outcomes. Rates of SREs were estimated using the Aalen-Johansen method, where death was treated as a competing risk. Associations of factors with SREs were assessed using Cox proportional hazards regressions, and these associations were summarized using hazard ratios (HR) and corresponding 95% confidence intervals (CI). Variables that could change throughout follow-up including BMA frequency, cumulative BMA dose, and duration of BMA were treated as time-dependent covariates in the Cox proportional hazards models, where the information for these variables was updated each time an additional dose of BMA was given. All analyses were performed using SAS version 9.4 software (SAS Institute, Inc.; Cary, NC) and R version 4.2.2 (R Core Team, R Foundation for Statistical Computing, Vienna, Austria). Results: Sixty-seven patients were included with a median age of 65 years old. The most frequently used BMA was zoledronic acid (88.1%), followed by pamidronate (7.5%), and denosumab (4.5%). Fifty-five patients (82.1%) had bone disease at baseline. Within 2 years of starting BMA, SREs occurred in 42.2% of patients with baseline bone disease and 8.3% of patients without (p=0.054). Median time to BMA initiation after diagnosis was 45 days (IQR 14-105) in patients with baseline bone disease and 87 (IQR 32-496) in patients without. Among the 26 patients with a SRE, median time from start of BMA to SRE was 170 days (IQR 32-496). No significant association was found between time to initiation and development of a SRE (Figure 1). BMA dosing frequencies of every 3 months and 6 months had a HR for SREs of 1.67 and 0.47, respectively compared to every 1 month, (P-values >0.25). After excluding patients without baseline bone disease, compared to every 1 month dosing, dosing every 3 months and every 6 months increased the risk of SRE, although the differences were not statistically significant (3 months: HR=1.92, 95% CI 0.76-4.88, p=0.17; and 6 months: HR=1.26, 95% CI 0.14-10.94, p=0.84). Patients without bone disease at baseline remained on BMAs for a median of 1.8 years while patients with bone disease received BMAs for a median of 2 years. There was no statistically significant difference found with varying duration or cumulative dose and SRE development (Table 1). Relapse or progression occurred in 32.1% of patients within 2 years of starting BMA, while death occurred in 7.5% of patients. Osteonecrosis of the jaw occurred in 1 patient with bone disease at baseline who received zoledronic acid every 3 months for a duration of 596 days. Conclusions: No significant association between time of BMA initiation, dosing frequency, or duration on development of SREs were observed. This suggests delaying the start time of BMAs to allow for dental clearance and initial treatment would not increase risk of SREs. Prospective trials are needed to confirm these findings.

Introduction: The use of standardized, evidence-based classification systems is crucial for the accurate diagnosis and treatment of diseases. Moreover, standardized classification facilitates research and epidemiologic studies and promotes consistency in communication among healthcare professionals. Since 2016, the revised 4 th edition of the World Health Organization classification (WHO-HAEM4R) has been the global standard for diagnosis of lymphoid malignancies. With the emergence of new data, 2 new classification systems were developed and published in 2022: the 5 th edition of the WHO Classification (WHO-HAEM5) and the International Consensus Classification (ICC). Both WHO-HAEM5 and ICC maintain a shared fundamental concept of disease classification that integrates clinical, pathologic, and molecular data. However, they differ on nomenclature, establishment of new entities, and/or diagnostic criteria for some disease categories. To evaluate the impact of these differences on real-world diagnosis of non-Hodgkin lymphoma (NHL), we examined the diagnostic classification of NHL in the Lymphoma Epidemiology of Outcomes (LEO) Cohort Study (NCT02736357). Methods: Initiated in 2015, LEO is an ongoing prospective observational study of patients aged ≥18 years with newly diagnosed NHL. Patients are enrolled at 8 major U.S. medical centers. Clinical, epidemiologic, pathologic, and treatment data are abstracted at baseline and active follow-up is conducted for all patients. Lymphoma subtype is coded for each case based on expert hematopathology re-review of the diagnostic pathology slides, the pathology report, biomarker data, and clinical data. Of note, NHL subtype distribution is similar to SEER data. We studied all patients enrolled in LEO between 7/1/2016 (the date LEO pathology review started using WHO-HAEM4R diagnostic codes) and 5/31/2020. WHO-HAEM4R diagnoses and additional clinicopathologic data, when relevant, were used to map cases into the corresponding WHO-HAEM5 and ICC diagnoses. Differences between WHO-HAEM5 and ICC were annotated for each case as: None - same disease entity; Minor - difference in nomenclature with similar diagnostic criteria; Major - difference in disease category and/or diagnostic criteria; or Unevaluable - insufficient data to assign WHO-HAEM5 and/or ICC diagnosis. Results: LEO enrolled 6143 patients during the study period. Of these, comparison between WHO-HAEM5 and ICC was evaluable in 5730 (93.3%). Unevaluable cases included those without a specific WHO-HAEM4R diagnosis at enrollment (N=384; e.g., patients with a low-grade B-cell lymphoma that could not be definitively sub-classified) and those with a specific WHO-HAEM4R diagnosis, but with insufficient clinicopathologic data to assign a specific WHO-HAEM5 and/or ICC diagnosis (N=29). Of the 5730 evaluable cases, 5376 (93.8%) showed no difference between WHO-HAEM5 and/or ICC diagnosis, 311 (5.4%) showed minor differences (nomenclature only), and 43 (0.8%) showed major differences (Table 1). The 43 major differences all involved B-cell NHLs; 20 (46.5%) were attributable to different approaches to classifying double-hit lymphomas, 21 (48.9%) to classification of splenic/leukemic B-cell lymphomas, and 2 (4.6%) to classification of B-cell lymphomas occurring at specific anatomic sites (Table 2). Conclusion: In a large, prospective lymphoma cohort reflecting real-world clinical practice at 8 major U.S. medical centers, major diagnostic differences in the classification of NHL using WHO-HAEM5 or ICC classification criteria were seen in 0.8%, whereas the remaining 99.2% of diagnoses were either the same or showed differences in nomenclature only. The existence of 2 concurrent classification systems presents potential for discrepancies in pathologic diagnosis, clinical practice, clinical trials, and other lymphoma research. Furthermore, some of the differences between WHO-HAEM5 and ICC are clinically and potentially therapeutically significant, and their resolution requires further study. Nevertheless, our findings argue that the proportion of patients affected would be small in real-world practice settings. This appears largely related to incidence rates of specific lymphoma subtypes, with major differences between the 2 classifications predominantly affecting rare entities, while there is general concordance on the most common forms of NHL.

Background: Chimeric Antigen Receptor T-cell (CAR-T) therapies were first approved by the FDA in 2017, and multiple commercial products are currently available. Hematopoietic stem cell transplantation (HSCT) is another treatment strategy often utilized for patients with advanced and/or relapsed hematologic malignancies. Both CAR-T and HSCT require significant, overlapping resources for their collection, storage, and processing. Understanding the impact of evolving standards of care in clinical practice is necessary in the planning of resource allocation and laboratory expansion. We aimed to characterize the trends of CAR-T and HSCT infusions over a five-year period. Methods: The processing lab database was reviewed to compile a list of patients that received either CAR-T or HSCT (autologous or allogeneic) infusions, between 01/01/2018 and 12/12/2022. The number of individual HSCTs and CAR-T infusions were plotted over time. We also calculated the percent contribution of both HSCT and CAR-T to the total number of products infused per year. We subsequently examined these parameters, within the specific diagnoses of diffuse large B-Cell lymphoma/large cell lymphoma (DLBCL/LCL, including double and triple hit DLBCL and High-Grade lymphoma) and multiple myeloma (MM), including MM with amyloid and MM with plasma cell leukemia/plasmacytoma. Simple linear regression was used to calculate statistical significance to determine if the slopes were non-zero, and the direction of change over time. Results: Overall, our study included 210 CAR-T infusions and 2366 HSCTs. 89/210 (42%) patients who received a CAR-T product also received HSCT between 2018 and 2022, with 85/89 receiving HSCT prior to CAR-T infusion and 4/89 receiving CAR-T prior to HSCT, including two patients who received HSCT before and after CAR-T. The median interval between the most recent HSCT and subsequent CAR-T was 37 months. DLBCL/LCL and MM were the disease indications for which CAR-T was most utilized, accounting for 87.6% of the 210 procedures. The total number of CAR-T procedures increased significantly over the five-year period, from 24 in 2018 to 74 in 2022 (Slope=13.8; p=0.02), accompanied by a marked decrease in the number of HSCT from 502 in 2018 to 393 in 2022 (Slope=-26.6; p=0.06). The overall number of infusions (calculated as number of HSCT + number of CAR-T) declined slightly, though this was not statistically significant (mean 511 + 30.6 per year; Slope=-12.8; p=0.22). When expressed as a percentage of the total number of infusions, we observed a significant increase in the proportion of CAR-T, from 4.6% in 2018 to 15.8 % in 2022, (Slope=2.98; p=0.02), and a significant decrease in the proportion of infusions that were HSCT, from 95.4% in 2018 to 84.2% in 2022 (Slope=-2.98; p=0.02). In DLBCL, we observed a slight decrease in the number of overall infusions, from 71 in 2018 to 58 in 2022 (Slope=-3.5; p=0.18) and a significant decrease in HSCT from 47 in 2018 to 26 in 2022 (Slope=-6.0; p=0.0172), while the number of CAR-T infusions remained stable (mean=27.4 + 5.3 per year; Slope=2.5; p=0.14). In MM, we observed a marked increase in CAR-T infusions, from none in 2018 to 33 in 2022 (p=0.0544), while the total number of infusions remained stable (Mean 231.8 + 16.54; slope=-3.5; p=0.58) and HSCT slightly decreased, from 228 in 2018 to 184 in 2022, though this was not statistically significant (Slope=-11.5; p=0.18). We observed a non-significant increase in the percent contribution of CAR-T to the total number of infusions performed for MM, from 0% in 2018 to 15.3% in 2022 (Slope=3.62; p=0.06) while in DLBCL we observed a significant increase, from 33.8% in 2018 to 55.2% in 2022 (slope=6.42; p=0.017). Conclusion: The findings from this study suggest a gradual trend in the clinical utilization of human cellular therapy products over time. Since many of the resources and personnel involved in the collection, storage, and processing of these products are shared, an increase in CAR-T is an important observation. These findings underscore key issues in lab management for cell manufacturing facilities when considering resource allocation and infrastructure development. More analysis is needed to determine if the decrease in HSCT and the increase in CART are related.