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Background: Daratumumab (DARA) has demonstrated clinical benefit in multiple myeloma (MM) and is approved for the treatment of both newly diagnosed MM (NDMM) and relapsed refractory MM (RRMM). While single-center studies have shown the benefit of DARA retreatment in patients (pts) who are refractory to DARA (D-Ref), there is a lack of real-world data on the characteristics of pts who are retreated with DARA across multiple lines of treatment (LOTs). In this study, we examine DARA retreatment patterns and outcomes among pts who are D-Ref and those who are sensitive to DARA (D-Sens) after the first DARA exposure in the US real-world clinical practice. Methods: This study used the Flatiron MM Core Registry data to identify pts with MM treated with a DARA-containing regimen in ≥2 separate LOTs between November 1, 2015, and March 31, 2024. The first DARA-based LOT was defined as D1, and the second DARA-based LOT was defined as the retreatment LOT (D2). The following criteria, developed by Janssen Scientific Affairs, were used to classify pts as Dara-retreated: 1) pts treated with the same DARA-containing regimens in consecutive LOTs were classified as Dara-retreated if there was a gap of >90 days between D1 and D2, 2) pts treated with different DARA-containing regimens in consecutive LOTs were classified as Dara-retreated, 3) pts treated with DARA-containing regimens had ≥1 LOTs between D1 and D2 they were classified as Dara-retreated, regardless of whether the regimens were the same or different. Derived disease progression reported in the Flatiron data was used for this analysis. If disease progression was reported during D1, or within 60 days of discontinuing D1, the pt was considered as D-Ref, otherwise, the pt was considered as D-Sens. Kaplan-Meier (KM) analyses were conducted to evaluate duration of D2, proportion of pts not receiving subsequent treatment after D2, and progression-free survival (PFS) rates during D2. Results: Data for 201 pts retreated with DARA were identified in this analysis, 150 were D-Sens and 51 were D-Ref. In the D-Sens group, the median age at D2 initiation was 71 years, 44.0% of pts were female, 27.3% were ISS stage II and 16.0% were African American. In the D-Ref group, the median age at D2 initiation was 67 years, 45.1% of pts were female, 21.6% were ISS stage II, and 25.5% were African American. At D2 initiation, 64.7% (D-Sens) and 60.8% (D-Ref) of pts were frail, and 56.0% (D-Sens) and 52.9% (D-Ref) of pts had a Quan-Charlson Comorbidity Index of ≥3, indicating a high burden of comorbidities. About 31% of pts in both groups had high cytogenetic risk abnormalities, and about 20% had a 1q21 gain or amplification. The median time from MM diagnosis to start of D1 and to start of D2 was shorter in the D-Sens group (10.8 and 34.9 months) than in the D-Ref group (18.4 and 44.4 months). D-Sens pts were less likely to receive D1 in the third LOT or later compared to D-Ref pts (30.0% vs 45.1%). The median number of LOTs before D2 was three in both groups. The median gap between D1 and D2 was 9.3 months in D-Sens pts and 9.0 months in D-Ref pts, however, more D-Sens pts received D1 and D2 LOTs consecutively compared to D-Ref pts (62.0% vs 51.0%). The most common regimen used in D1 was DARA + lenalidomide + dexamethasone (dex; 18.7%) and DARA + bortezomib + dex (18.7%) among D-Sens pts, and DARA + pomalidomide + dex (23.5%) among D-Ref pts. The most common regimen used in D2 was DARA mono (31.3%) in D-Sens pts, and DARA mono (17.6%) and DARA + carfilzomib + dex (17.6%) in D-Ref pts. Overall, 32.0% of D-Sens and 35.3% of D-Ref pts received agents from the same drug class in D1 and D2. The KM median duration of D2 was 7.4 months (95% CI: 5.5-9.5) among D-Sens pts and 6.4 months (95% CI: 3.8-23.5) among D-Ref pts. The proportion of pts that had not received subsequent treatment after D2 was 38.7% and 29.5% at 12 months in the D-Sens and D-Ref groups, respectively. PFS rates at 12 months after D2 initiation were 77.1% in the D-Sens group and 49.4% in the D-Ref group. Conclusion: DARA retreatment is utilized frequently and is effective in the real-world, suggesting the ability to use this approach in subsequent LOTs among pts with RRMM. In the absence of other feasible alternatives, this may be a treatment strategy for patient benefit, regardless of whether they are D-Sens or D-Ref. Future studies are needed to definitively investigate the benefit of DARA retreatment in combination with drugs with novel mechanisms of action.

Introduction: Nodal lymphomas of T-follicular helper cells (n-TFHLs) are considered neoplasms of mature TFH cells and are classified by the World Health Organization (WHO) under one umbrella with three subtypes: angioimmunoblastic-type (n-TFHL-AI), nodal TFHL, follicular type (n-TFHL-F), and nodal TFHL, not otherwise specified (n-TFHL-NOS). TET2 mutations in n-TFHL-AI subtype frequently co-occur with IDH2R172 mutations. Methods: To elucidate the cooperative role of TET2 and IDH2R172K mutation in n-TFHL-AI pathogenesis, we generated a murine model with Tet2 loss and IDH2R172K knock-in mutation in CD4+ T cells (Tet2-/-/IDH2R172K) by crossing Tet2Flox/Flox/IDH2R172K mice with Cd4-Cre transgenic mice. This resulted in Tet2 exon 3 deletion and IDH2R172K knock-in mutation specifically in CD4+ T cells. Murine tumors were comprehensively evaluated through immunohistochemistry and flow cytometry. Transcriptomic (RNA-seq), 5-hydroxymethylcytosine (5hmC), and 5-methylcytosine (5mC) profiling, and genomic (whole exome sequencing [WES]) analyses were conducted on both earlier time points (preneoplastic) and neoplastic cells. Functional validation involved proliferation, T-cell polarization, and Western blotting assays. Results: The transcriptomic analysis (p < 0.05) in n-TFHL-AI (double-mutant) cases showed enrichment of TFH-like signature, IL-12-signaling, NF-ΚB, and downregulation of TH1 cell differentiation (including IFNγ signaling). Evaluation of double-mutant mice revealed an earlier tumor onset than Tet2 mutant mice, with a median survival of 1.3 years compared to 1.7 years (p=0.006), respectively. With chronic stimulation by T cell-dependent antigens (sheep red blood cells [SRBCs]), these mice showed B-cell expansion with a 100% incidence of lymphoid neoplasms, in contrast to PBS-treated mice, where myeloid and lymphoid diseases occurred at an equal ratio. Genomic analysis of murine tumors revealed a unique mutation spectrum in metabolic genes (Ata3d3a, Atp1a3, Ppp4r3a, and Nemf), T- and B-cell interaction (Gnai3), Stat pathway (Jak1), and DNA repair (Zfp451). Transcriptomic analysis of tumors showed downregulation of Tbx21, increased TFH-related genes, and increased expression of Bcl6 with downregulation of its known suppressed genes. Transcriptomic analysis of murine CD4+ T cells isolated at 12 weeks revealed downregulation of genes associated with TH1-cell differentiation and Trp53 signaling, concurrent activation of T-cell receptor (TCR) and MAPK signaling, and API-complex. We demonstrated elevated levels of 2-hydroxyglutarate (2-HG) in double-mutant cells, and enasidenib (IDH2R172 inhibitor) treatment significantly decreased 2-HG levels and increased Tbx21 expression. Mutant cells showed a proliferative advantage in IL-2 and IL-21 in vitro conditions, resulting in enhanced TCR, AKT, ERK1/2, p-65, and inactivation of p-FOXO1 protein. While these cells showed a growth advantage in in vitro culturing with TFH conditions, their growth and polarization were impaired in TH1 conditions, indicating a differentiation block. Tet2-/-/IDH2R172K mice (12-week) with SRBCs treatment revealed a significant induction of B and CD4+ T- cell populations compared to wild-type (WT) mice (p=0.01). In vitro co-culturing experiments demonstrated that Tet2-/-/IDH2R172K mutant CD4+ T-cells confer a substantial proliferative advantage to B-cells (p=0.021). Notably, these double-mutant CD4+ T cells exhibited superior proliferation compared to WT CD4+ T-cells when co-cultured with B-cells isolated from WT or double mutant mice (p=0.004). When Tet2-/-/IDH2R172K neoplastic cells with whole tumor were allografted into NOD scid gamma (NSG) mice, lymphoma developed within three months, but also showed numerous B-cells in the TME. This suggests that the propagation of neoplastic T-cells likely require B cell help. Overall, the TFH program remained intact in transplanted cells, and a global decrease in 5hmC levels and an increase in 5mC levels were observed. Conclusion: Tet2-/-/IDH2R172K murine CD4+ T cells exhibited hyperactive TCR signaling, impaired DNA damage response, and NF-ΚB activation as key oncogenic transitions. Both in vitro co-culturing and the allografting of neoplastic Tet2-/-/IDH2R172K cells showed dependence on B-cells, suggesting that interrupting T- and B-cell interaction could be a therapeutic approach.

Introduction The major primary genetic events in multiple myeloma (MM) include translocations of immunoglobulin heavy chain (IgH) and a hyperdiploidy (HRD) karyotype (Kuehl, 2002). The main drivers of pathogenesis in HRD MM are unknown (Fonseca, 2003), therefore further research is needed in this subgroup. Translational research in HRD MM has relied on analysis of genomic and transcriptomic alterations, however changes at the genome and transcriptome level do not always correlate directionally with protein abundance. Because proteins are considered the main and final effectors of most cellular processes, proteogenomics can improve our understanding of the drivers of HRD MM. We employed it here to identify potential biomarkers in HRD MM and determine whether any given trisomy may lead to a selective advantage. Methods: Protein and mRNA were extracted from CD138+ cells from 47 HRD MM and 14 t(11;14) MM samples. RNA-seq data was processed using MAPR-Seq pipeline using default parameters and gene-wise raw counts were extracted for each sample. Proteomics data was processed using Specranaut and protein-wise intensities were extracted for each sample. A generalized linear model configured with negative binomial distribution was used to analyze gene-wise count data in edgeR software. Genes with an adjusted p-value of <=0.05 were considered significantly differentially expressed. Protein intensity data were normalized using trimmed mean of M-values and log2 transformed. A generalized linear model configured with Gaussian distribution was used to compare protein intensities between the groups. Proteins with an adjusted p-value <= 0.05 were considered significantly differentially expressed. Two separate rank lists for protein and mRNA data were generated for pathway analysis. Results When comparing our small cohort of HRD MM patient samples to those with t(11;14) MM, out of approximately 16,600 total transcripts and 9,700 proteins evaluated we identified approximately 2,100 significantly variant transcripts and 500 significantly variant proteins in HRD MM. GSEA pathway analysis of the transcriptome and proteome revealed significantly upregulated translational and ribosomal processing pathways in HRD MM. Transcriptional MYC target pathways were also significantly upregulated. RNAseq revealed significantly higher expression of MYC (Rank 24.5, p=5.3E-6) in HRD MM. It is known that patients with t(11;14) MM have increased expression of CCND1 (Kuehl and Bergsagel, 2012). As expected, we found that the HRD MM subgroup had significantly lower expression of CCND1 compared to the t(11;14) MM subgroup (Rank -79.9, p=2.8E-21) and this was also true at the protein level (Rank -21.7, p=2.2E-5). The most significantly abundant protein in the HRD MM subgroup compared to t(11;14) MM was BAHD1, which is a protein that targets H3K27me3 and recruits transcriptional co-repressors (Fan, 2020). BAHD1 has been shown to repress erythroid genes and may recruit HDAC5, which plays a role in osteoblast differentiation (Rank 72.3, p=2.9E-20; Xu, 2021). The second most abundant protein in HRD MM was CKS2, which binds to the catalytic subunit of cyclin-dependent kinases (CDKs) and therefore positively regulates cell proliferation, invasion, and migration and has been shown to be implicated in tumor progression in several solid tumors (Rank 72.3, p=2.9E-20; You, 2015). TRIM proteins promote tumorigenesis and cancer development. TRIM14 mediates cancer development through mediating the JAK/STAT, PI3K/AKT, NFkB, and p53 pathways and was found to be significantly higher in HRD MM (Rank 70.6, p=9.0E-20; Huang, 2022). We also found increased protein abundance of LAMP5 in HRD MM (Rank 20.1, p=6.0E-5). LAMP5 may play an important role in MM progression and has been shown to be highly expressed in patients with mixed-lineage leukemia and is associated with a poor prognosis (Wang, 2023; Gracia-Maldonado, 2022). We identified many proteins (not all discussed here) that have not been well described in HRD MM and thus may be biomarkers/targets of disease pathogenesis of this subgroup. Conclusion Proteins are the final effectors of most cellular processes. Proteogenomics can improve our understanding of the drivers of HRD MM. Using a proteogenomic approach we identified proteins that may lead to selective advantage and/or pathogenesis of trisomies in HRD MM.

Background: Continuous single-agent ibrutinib (Ibr) treatment has been associated with extended progression-free survival in patients with Waldenström macroglobulinemia (WM). Previous clinical studies have shown that Ibr dose reductions (DRs) improved or resolved adverse events (AEs) in most patients, while hematologic responses were sustained. However, real-world data on long-term outcomes for patients with WM undergoing Ibr DR in first-line (1L) settings remain limited. Methods: Medicare Fee-for-Service (FFS) medical and pharmacy records were used to identify patients diagnosed with WM who initiated 1L single-agent Ibr (420 mg/day) or 1L Ibr + rituximab from January 1, 2015, to September 30, 2022. Observed patients were enrolled in Medicare FFS ≥12 months before and after 1L treatment initiation and had ≥1 qualifying post-treatment initiation AE of special interest (AESI; both prevalent and incident AEs), as identified via ICD-9-CM or ICD-10-CM diagnosis codes. Ibr DR was defined as a reduction of the starting dose (420 mg/day) following the first AESI during 1L treatment. Patients without an Ibr DR were defined as those who had received Ibr at 420 mg/day during 1L treatment. Patients without an AESI post-Ibr initiation and prior to DR were excluded from the analysis. Demographics, clinical characteristics, time to AESI, duration of therapy (DOT), and time to treatment discontinuation (TTD) were assessed in cohorts with and without DRs. DOT was measured at the date of Ibr treatment initiation through treatment discontinuation (end of 1L treatment). Patients were considered to have discontinued treatment if they received a subsequent systemic therapy after the 1L regimen, had a gap of ≥120 days with no systemic therapy following the last administration, or died while on the 1L regimen. Patients without a discontinuation were censored at the earliest date of end of follow-up or disenrollment. TTD was analyzed using the Kaplan-Meier method. A Cox proportional hazards model adjusted for patient demographics and clinical characteristics was used to identify factors associated with treatment discontinuation. Results: A total of 407 patients with WM were included in the analysis (DR, n=55 [14%]; no DR, n=352 [86%]). Patients in the DR and no DR cohorts, respectively, had similar a median age (78 years vs 77 years), Charlson Comorbidity Index score (3 vs 4), and prevalence of the most common baseline comorbidities: hypertension (67% vs 68%) and cardiovascular conditions (31% vs 28%). The median time between treatment initiation and the occurrence of the first AESI was 89 days versus 76 days, and total Ibr DOT mean ± SD [median] was 786.1 ± 692.6 [661] days versus 454.8 ± 510.4 [279] days (P=0.001) for DR cohort versus no DR cohort. Following DR, patients remained on Ibr for mean ± SD [median] 336.0 ± 422.8 [179] days until the end of 1L therapy. After adjusting for variations in baseline characteristics, patients with a DR had significantly longer TTD post-treatment initiation than those without a DR (median TTD, DR vs no DR: 22.5 months vs 9.3 months; adjusted HR [95% CI], 0.52 [0.37-0.72]). Conclusion: This real-world evidence study suggests that implementing DRs to manage AEs can be a valuable strategy in supporting patients with WM to remain on 1L Ibr longer, thus maintaining beneficial clinical outcomes. These findings are consistent with previous studies, demonstrating that Ibr DRs help to improve tolerability while maintaining treatment efficacy.

Introduction Multiple Myeloma (MM) precursors Monoclonal Gammopathy of Undetermined Significance (MGUS) and Smoldering Multiple Myeloma (SMM) have variable risk of progression to active MM, and identifying which patients may progress remains a clinical challenge. Deep proteome profiling of peripheral blood (PB) plasma may advance non-invasive precursor disease staging, monitoring and characterization. Here, we performed plasma proteomic profiling on patients across the MM disease continuum as well as progressive and stable disease to provide insights into MM disease biology and identify protein-based high-risk disease features that may improve prognostication. Methods We performed high-throughput profiling of >5400 proteins using the Olink® Explore HT library and Proximity Extension Assay (PEA) technology. We profiled 529 PB plasma samples from 485 individuals, including MGUS (n=100), SMM (n=203), MM (n=100), and healthy donors (HDs) (n=82). Sequential samples from SMM-MM progressors (n=32) and stable SMM-SMM non-progressors (n=32) were also profiled, where precursor samples ranged 1.04-6.91 years (median 2.33 years) prior to MM progression. T-tests, ANOVAs, and linear mixed effect (LME) models were used to identify significant proteins across disease stages, progression status, and time. Results were adjusted for multiple testing using Benjamini-Hochberg procedure. A subset of 86 individuals (13 HDs, 14 MGUS, 41 SMM, 18 MM) also had single-cell RNA sequencing (scRNA-seq) performed on tumor and immune cells from paired PB/BM collected at the same timepoint to enable cellular mapping of signals detected in plasma. Results We successfully captured significantly dysregulated proteins including proteins highly expressed on the surface of plasma cells, such as BCMA, SLAMF7 and CD38, highlighting the utility of PEA technology to monitor soluble levels of clinically relevant targets. Given SMM patients are clinically heterogeneous and can resemble MGUS or MM, we aimed to improve discrimination of disease states using biological features obtained from the plasma proteome. We developed a classifier using an Elastic Net model for each stage, where plasma proteins such as SLAMF7, BCMA, TACI, FCRL5 and others had the highest importance scores for the model. We demonstrated 97% SMM/MM samples could be identified from healthy samples (AUC=0.82), indicating our classifier could reliably screen disease-related cases. Moreover, 84% of SMM cases were correctly classified as clinically defined SMM, while misclassified samples were labelled as MM cases. Interestingly, the misclassified patients had consistently rising M-spike levels during clinical follow-up but without a shift in clinical stage or risk status, suggesting the plasma proteome may provide earlier indication of evolving disease. Since proteomic information may also hold value for improved risk stratification, we evaluated protein levels in precursor stage timepoint samples from SMM-MM progressors and stable SMM non-progressors. We identified a prognostic five-protein signature that was significantly elevated in SMM-MM progressors, of which BCMA and TACI were top proteins, as well as proteins vital for calcium homeostasis and integrin-mediated cell adhesion. BCMA and TACI levels also had a strong positive correlation with BM plasma cell infiltration, which suggests these proteins may be useful surrogates of BM tumor burden during routine blood-based assessment of precursor patients. Lastly, integrative analysis of scRNA-seq of tumor and immune cells was used to elucidate cell origin level information of the prognostic signature proteins. Four proteins were highly expressed in malignant versus non-malignant plasma cells, suggesting our prognostic signature partially provides a readout of plasma cell biology. Meanwhile, one protein was constitutively expressed on most leukocytes, suggesting that the interplay of other cell types in the immune microenvironment involved in progression may also be reflected in the plasma. Conclusion We performed the first comprehensive analysis of the plasma proteome of MM and its precursor conditions. Overall, we developed a classifier that utilizes plasma proteins alone to accurately classify disease stages and identified a prognostic protein signature associated with progressive disease.

Background: The COVID-19 pandemic had an outsized impact on individuals with immune compromise, such as multiple myeloma, leading to increased rates of severe COVID, hospitalization, and death in these groups. The pandemic also demonstrated the need for rapid and efficient evidence generation to address rapidly changing medical needs and accelerated the use of innovative trial designs to accomplish this goal. Methods: We designed and established a prospective, decentralized study within a site-based provider network, COVID-19 OutcomeS in Myeloma and the Impact of VaCcines (COSMIC), for patients with multiple myeloma at ASH Research Collaborative sites to monitor outcomes related to COVID-19 infection and vaccination. The direct-to-patient approach was accomplished using a study application accessed with a QR code provided to patients during usual clinical care. All study activities occurred within the patient portal at Baseline, Day 30, and Day 180, minimizing burden on site personnel and staff. Study activities included eligibility confirmation, consenting, electronic health record (EHR) data permissions, and patient-reported outcome (PRO) surveys. PRO data (EORTC QLQ-C30, EORTC QLQ MY-20) were made available to clinicians through the portal to visualize results from their patients. Patients shared if they received a COVID-19 vaccination or booster and if they had a COVID-19 infection. Patients with a history of COVID-19 infection included method of confirmation and if hospitalization was required. Patients were provided compensation for participation. Automated text and email messages were sent at three separate intervals: 24 hours, Day 8, and Day 15 for participants who initiated but did not complete study activities. A personal email reminder per participant was sent for those whose second study visit window was approaching. ASH Research Collaborative clinicians met regularly to share best practices related to enrollment and study conduct, thereby creating an innovative evidence generation learning community. We studied the feasibility of data collection in a decentralized format by focusing on the number of participants who interacted with the system, those who consented, and those who completed baseline PRO assessments. Results: The COSMIC study rapidly accrued and consented 200 patients from eight participating ASH Research Collaborative sites over four months (1/22/2024 through 5/17/2024): 69% self-reported as non-Hispanic White (NHW). Of enrolled participants, 57.5% opted to permission sharing of their EHR data, which included disease and treatment-related clinical data, laboratory results, pathology reports, and imaging reports. A total of 196 patients (98%) provided demographic and COVID-related disease and vaccine data at baseline; nearly all of these patients (n=195) provided baseline PRO data, and 150 patients provided further information at Day 30 at the time of this analysis. Those who did not provide Day 30 data were not significantly different from those who did in terms of age (median: 68 [no Day 30 data] vs. 67 [Day 30 data] years; p=0.44), sex (41% [no Day 30 data] vs. 47% [Day 30 data] Female; p=0.47), or race (65% [no Day 30 data] vs. 71% [Day 30 data] NHW; p=0.60). A higher proportion of Hispanic patients were retained at Day 30 (13/15=87%) vs. 78% of non-Hispanic patients or those who declined reporting ethnicity (2/7=29%; p=0.007). COVID-19 vaccination data were submitted by 196 patients, 186 of whom had ever received a COVID-19 vaccination. Data on number, type, brand, and dates for these vaccinations were provided. Conclusions: The COSMIC study conducted by the ASH Research Collaborative was able to rapidly accrue a diverse cohort of patients using a decentralized workflow within a site-based provider network, with high consent and compliance rates. This platform, and the innovative evidence generation learning community of ASH Research Collaborative investigators and patients, sets a precedent to address a variety of real-world questions related to disease management, infections, vaccinations, and PROs in this population of patients with multiple myeloma.

Introduction E1910 randomized pts with ALL aged 30-70 years who were measurable residual disease negative (MRD-) by multi-color flow cytometry (FC) after intensification to conventional chemotherapy (chemo) with or without blinatumomab (blina). The addition of blina resulted in improved overall survival (OS) (Litzow, NEJM 2024) and led to a new standard of care. Older ALL pts have inferior outcomes when compared to younger pts in part due to increased treatment toxicity. In E1910, exposure to dexamethasone and pegasparagase was reduced for older pts (age >55 years). We present results of subgroup analyses describing outcomes of older pts enrolled in E1910. Methods Details of the E1910 protocol remission induction (step 1), high dose methotrexate with pegaspargase intensification (step 2), blina randomization (step 3), and maintenance (step 4) or allogeneic hematopoietic stem cell transplant (HCT) were previously presented (Litzow, NEJM 2024). MRD status was determined after step 2 centrally with 6-color FC with MRD- defined as <0.01% in the bone marrow (BM). Following approval of blina in the US for MRD positive (MRD+) disease in 2018, MRD+ pts were assigned to the blina arm and no longer randomized. The primary objective was to compare the OS and relapse free survival (RFS) among older pts aged >55 years (pre-specified stratification factor) who received chemo + blina to that of pts who received chemo alone (step 3 treatment). Estimates of OS and RFS were calculated using the Kaplan-Meier method. Comparison of OS and RFS between treatment arms was conducted using the two-sided stratified log-rank test and Cox model with CD20 status, rituximab use, and whether pts intended to receive HCT or not as stratification factors. Stratified Multivariate Cox models of OS and RFS were used to further evaluate the effect of step 3 treatment, adjusted by gender, white blood cell count (WBC), platelets, hemoglobin, peripheral blood blasts, BM blasts, performance status and combined molecular risk category. Results Among the 488 enrolled pts, 211 were ≥55 years old with median age of 61 (range 55-70). Among older pts, 49.3% were female and 83.4% were white, 17 (8.1%) pts had WBC >30.000/uL at the time of diagnosis. 156 (73.9%) pts had CD10+ early B-ALL and 46 (21.8%) had CD10- B-ALL immunophenotype. The most common genetic subgroups were low hypodiploid (n=58, 27.5%), BCR::ABL1-like (n=34, 16.1%) and KMT2A rearranged (n=26, 12.3%). 8.1% of pts had low, 9.0% intermediate, 63.5% high combined molecular risk disease and in 19.4% of pts risk could not be assigned. Baseline characteristics were not significantly different in chemo + blina and chemo only pts. The median follow-up for this analysis from step 1 registration was 54.6 months. Complete response with (CR) or without (CRi) count recovery after induction was observed in 174 (82.5%) pts (167 CR, 7 CRi). 93 (44%) pts were MRD-. 32 (15.1%) pts received HCT on study and 24 (11.4%) pts received it off study. Among MRD- pts (n=93), 46 were randomized to and 45 received blina: 6 (13.3%) pts had 1, 14 (31.1%) had 2, 2 (4.4%) had 3 and 23 (51.1%) had 4 cycles. 3-year OS were 71% and 67% for the blina and the chemo only arm (univariate model: HR 0.75, 95% CI: 0.37-1.50; multivariate model: HR 0.56, 95% CI: 0.25-1.27). 3-year RFS were 69% and 59% for the blina and the chemo only arm (univariate model: HR 0.75, 95% CI: 0.39-1.45; multivariate model: HR 0.67, 95% CI: 0.32-1.42). Among MRD+ pts (n=25), 14 were randomized to and 11 received blina: 7 (63.6%) pts had 2, and 4 (36.4%) had 4 cycles. 3-year OS were 66% and 44% for the blina vs the chemo only arm (univariate model: HR 0.66, 95% CI: 0.12-3.64). 3-year RFS were 64% and 31% for the blina vs the chemo only arm (univariate model: HR 0.64, 95% CI: 0.15-2.74). Frequency of treatment-related toxicities among older pts during different study phases and treatment assignments will be presented. Conclusion Despite evidence of improved outcomes in the whole study cohort, the addition of blina to consolidation chemo for older pts with ALL was not associated with statistically significant improvement of OS or RFS in this exploratory analysis not powered to detect the difference in subgroups. This is possibly due to sample size but may be due to biologic differences in the older adult population. Further studies are needed to definitively determine tolerance and benefit of blina addition to consolidation for older pts with ALL.

Background: AL amyloidosis is a potentially fatal plasma cell dyscrasia. In a randomized phase 3 study (Kastritis E et al, NEJM 2021;385:46-58), the addition of daratumumab to cyclophosphamide, bortezomib and dexamethasone (Dara-CyBorD) significantly improved hematological and organ responses, and prolonged event-free survival (EFS). There was no overall survival (OS) difference at a median follow-up of 11.4 months. Methods: A retrospective study of AL amyloidosis patients seen at our institution between January 2018 and December 2022 who received upfront Dara-CyBorD or CyBorD. We excluded patients who received other forms of upfront therapy (including modifications of the above regimens, such as bortezomib-dexamethasone or daratumumab-dexamethasone). We compared the hematologic and organ responses, EFS and OS between the two treatment groups. Hematologic response was assessed at 2 and 6 months from therapy initiation, while cardiac and renal responses at 6- and 12-month landmarks. In all response evaluations, we included responses up to autologous stem cell transplantation (ASCT) if used or second-line therapy for any reason. For EFS analysis, an event was defined as death of any cause, hematological progression, end-stage cardiac or renal failure, or need for subsequent anti-plasma cell therapy in the absence of hematological progression. OS was calculated from the time of treatment initiation to death or last follow-up. Results: Among 641 newly diagnosed patients seen at our center between 2018 and 2022, 361 patients (56%) were included on intention-to-treat analysis [Dara-CyBorD =147 (41% of the cohort); CyBorD=214 (59%)]. There was no difference in the baseline characteristics between the treatment groups, including age, sex, difference between involved and uninvolved light chains, bone marrow plasma cells percentage, NT-proBNP and 24-hour proteinuria. The 2-month hematologic complete response (hemCR; 15.3% vs 4.4%, P<0.001) and very good partial response or better (≥hemVGPR; 62.2% vs 32.5%, respectively; P<0.001) were higher with Dara-CyBorD compared to CyBorD. At 6 months, the hemCR and ≥hemVGPR were again in favor of the Dara-CyBorD group compared to CyBorD (32.0% vs 13.7%, and 72.8% vs 46.7%, respectively; P≤0.002). The 6- and 12-month cardiac response rate in the Dara-CyBorD and CyBorD groups were 40.2% vs 22.6% (P=0.01) and 44.1% vs 23.2%, respectively (P=0.006). Cardiac ≥VGPR at the 6- and 12-month landmarks were statistically higher with Dara-CyBorD compared to CyBorD and increased in both arms between 6 and 12 months [20.5 % vs 9.3% (P=0.03) and 34.3 % vs 20.0% (P=0.04), respectively]. The 6-month and 12-month renal response to first-line therapy were numerically higher with Dara-CyBorD compared to CyBorD but were not statistically significant (48% vs 31.3%, P=0.10; 54.1% vs 30.1%, P=0.05). The 6 month and 12 months, renal ≥VGPR were numerically higher with Dara-CyBorD compared to CyBorD, again without statistical significance (26% vs 19.6%, P=0.63; 35.7% vs 17.2%, P=0.11, respectively). Treatment with Dara-CyBorD was significantly associated with lower 6-month mortality rate compared to CyBorD (8.8% vs 16.3%, P=0.04). With a median follow-up of 43.3 months (30 vs 59.4 months for Dara-CyBorD vs CyBorD, respectively; P<0.001), the two-year EFS was superior in the Dara-CyBorD group compared to CyBorD (69.1% vs 30.3%, hazard ratio (HR) 0.36, 95% confidence interval (CI), 0.26 to 0.48, P<0.001). The 2-year OS was also statistically higher in the Dara-CyBorD group compared to CyBorD (82.0% vs 69.6%, HR 0.53, 95% CI, 0.36 to 0.79, P=0.003). 148 patients (40.9%) proceeded to second-line therapy with a median of 5.1 months from first line therapy. To adjust for difference in follow-up time between the two treatment groups, we analyzed the second line therapy utilization at the 12-month mark which was statistically higher with CyBorD compared to Dara-CyBorD (42.9% vs 14.9%, P<0.001). Also, at 12 months, a higher proportion of patients treated with CyBorD received ASCT compared to Dara-CyBorD (24.3% vs 13.6%, P= 0.01). Conclusions: In this cohort of newly diagnosed AL amyloidosis patients in a large referral center, we confirmed higher hematological and organ response rates with Dara-CyBorD compared to CyBorD. We have also demonstrated that these higher response rates translate into a survival advantage of Dara-CyBorD over CyBorD.

Background Follicular lymphoma (FL) is a generally indolent disease where a watch and wait strategy is standard in asymptomatic patients (pts) with a low tumor-burden. Harnessing antitumor immunity through an anti-tumor immunization strategy at this stage may delay or avoid the subsequent need for more toxic and complex therapies. EO2463 is a therapeutic vaccine designed from non-self protein sequences, derived from gut bacteria, including 4 HLA-A2 synthetically produced 9-mer CD8 cytotoxic T cell epitopes, exhibiting molecular mimicry with specific epitopes on the B cell markers CD20, CD22, CD37, and CD268 (BAFF-receptor). Additionally, EO2463 contains a CD4 helper epitope UCP2 derived from hTERT. The compound expands pre-existing memory CD8 T cells recognizing the non-self protein sequences from gut bacteria which can then cross-react with the selected B cell antigens on tumor cells. EO2463 is being used to drive anti-tumor immunity against B cell malignancies, and has demonstrated long-lasting, specific CD8-memory T cell responses and clinical activity in relapsed/refractory FL and marginal zone lymphoma (MZL) [J Clinical Oncol 2024, 42 (S16), 7058]. Furthermore, CD8 T cells expanded from samples of patients treated with EO2463 can kill HLA-A2 expressing lymphoblastoid cell lines presenting the B cell targets [Hematological Oncol 2023, 41 (S2), 581-582]. Methods The current report describes Cohort 2 of trial EONHL1-20/SIDNEY (NCT04669171) and includes pts with newly diagnosed, previously untreated FL, grade 1-3A, HLA-A2, and not in need of treatment. Pts receive EO2463 (300μg/peptide) SC with adjuvant Montanide ISA 51 VG, q2 weeks (w) x 4, then q4w, for a total of 12 doses (39w; PET-CTs at w6, w19, and w42). Planned accrual for this cohort is 25 pts. Immune responses were assayed on thawed pt peripheral blood mononuclear cells by flow cytometry and EO2463 peptide specific tetramers or by IFN-γ ELISPOT (assaying responses against 9-mer peptides from CD20, CD22, CD37, and CD268; and from peptides of EO2463) without any proceeding in vitro stimulation (ex vivo). Results As of June 2024, 15 pts had started study treatment. Median age was 62 (range 55-66) year, 7 male and 6 female, 2 pts Ann Arbor stage I/II, 5 stage III, and 8 stage IV. Ten of 15 pts were still on treatment; median treatment duration was 18.4 weeks (range 5-39 w) for all pts. Among 13 evaluable pts, best responses by PET-CT using Lugano criteria were 1 pt CR, 5 pts PR (46% objective responses (OR)), 3 pts SD, and 4 pts PD. Of those with PD per Lugano, 2 had isolated increases in FDG-uptake without increase in lesion size/number at w6 and both remain on treatment (per protocol based on LYRIC criteria). OR was first noted w6 in 3 pts and w19 in 3 pts; duration of response is not evaluable at this time due to short follow-up. The pt with CR had isolated increases in FDG-uptake at w6, PR at w19, and CR at w35. Anti-EO2463 immune responses were observed in 4 of 5 tested pts at the 1st testing timepoint (w5) and onwards (currently longest tested up until w31). In an exploratory analysis, the percentage of EO2463 peptide specific CD8 T cells measured by tetramers seemed linked to clinical response (OR 3 pts vs non-OR 2 pts; 2-sided T-test, p=0.02; range of percentages in pts with OR 0.85%-1.39% of all CD8 T cells in peripheral blood, range in pts with non-OR 0.17%-0.27%). Functionality and cross-reactivity of responses were shown by IFN-γ ELISPOT using 9-mer peptides corresponding to the B cell targets in 4 tested pts. Expanded antigen-specific CD8 T cells displayed a memory phenotype; effector/memory (TEM), and terminally differentiated effector memory CD8 T cells (TEMRA). The most common related AEs were grade 1 (7 pts) and grade 2 (5 pts) local administration site reactions (mainly erythema, pruritus, and induration). Other related AEs in > 1 pt were grade 1 headache (2 pts) and grade 1-3 fatigue/asthenia (3 pts). Asthenia lasting 2 days was the only related grade 3 adverse event (AE). Conclusions EO2463 monotherapy is associated with a very manageable safety profile and appears to demonstrate meaningful single-agent efficacy in FL. Consistent with the preclinical hypothesis, expansion of specific CD8 memory T cells may be associated with response. Results will be expanded at the meeting. Study EONHL1-20/SIDNEY also includes cohorts, not covered in this abstract, exploring EO2463 plus rituximab for 1st line FL/MZL, and EO2463 plus lenalidomide/rituximab in relapsed FL/MZL.

Background: Whereas major improvements have been made in the treatment of advanced HL outcomes of patients > 60 yrs are generally suboptimal compared with younger patients, and generally with more toxicity. To address this issue we conducted the first phase II study of BV-nivo in older pts with HL (ACCRU RU0515051, NCT02758717), with initial results reported at a median of 20.2 mo of follow-up. (Cheson et al, Lancet Haem, 11:e808, 2020). Herein we present the 5-year follow-up for this study. Methods: Eligible pts were either >60 yrs or considered unsuitable for standard chemotherapy because of cardiac, pulmonary or renal dysfunction. Pts received BV at 1∙8 mg/kg (dose cap at 180 mg) and nivo at 3 mg/kg both intravenously every 21 days for 8 cycles.The primary endpoint was overall response rate (ORR). Results: Follow-up data were available for 39 of the original 46 pts. At a median follow-up of 58.5 months (0.45-65.4 mo), the median duration of response was 17.2 mo (11.6-45.2). 58.7% of the patients had progressed with the median progression-free survival of 18.3 mo (12.8-46.3 mo); thus 41.3% had still not experienced a progression event. Median overall survival was not yet reached with 84.8% of patients still alive. Conclusions: BV-nivo is an effective regimen for patients >60 yr, curing approximately 40% of pts. For those not cured by initial therapy, outcome with subsequent treatment is excellent, suggesting check point inhibitor sensitization, or other factors. Optimization of dose and schedule, and incorporation of other novel agents will result in a successful chemo-free approach for older patients with HL, especially those unable to receive an anthracycline.