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Background: Patients with acute lymphoblastic leukemia (ALL) receiving L-asparaginase (ASP) based induction therapy have a high risk of venous thromboembolism (VTE). Studies investigating universal thromboprophylaxis strategies have yielded sub-optimal results. Risk prediction models are needed to identify high-risk patients who would be candidates for intensification of thromboprophylaxis, and lower risk patients who are unlikely to benefit. Aims: Derive and externally validate a risk prediction model for VTE in patients with ALL receiving ASP therapy. Methods: We conducted a multicenter, international, cohort study of patients with newly-diagnosed ALL receiving ASP-based induction therapy (≥18yrs). The derivation and external validation cohorts included 306 and 97 patients without VTE prior to ASP therapy, respectively. Patients on therapeutic anticoagulation at index were excluded. Patients were followed from date of first ASP dose for 100 days post ALL diagnosis or until VTE, therapeutic anticoagulation or death. Candidate predictors were documented at ALL diagnosis and included demographics, disease and treatment characteristics, VTE history, comorbidities, thromboprophylaxis, complete blood count, fibrinogen and d-dimer. D-dimer was only analyzed within the 7 derivation cohort centers who routinely tested this at ALL diagnosis with <20% missing values. Primary outcome was VTE at any site (centrally confirmed). Secondary outcomes included major bleeding by ISTH criteria. Cause-specific Cox proportional hazard regression was performed to identify VTE risk factors in the derivation cohort while treating death as a competing event. Variables with p-value <0.1 on univariable analysis were included in a multivariable model and subsequently used in the risk model if p-value <0.05. Lastly, the derived VTE risk prediction model was tested in the external validation cohort for association with time to VTE using cause-specific Cox proportional hazard model. All analyses were stratified by center and use of low molecular weight heparin prophylaxis (at any dose on the date of first ASP dose). Results: The cumulative incidence of VTE in the derivation cohort was 17% at 30 days (95% confidence interval [CI] 13% - 21%) and 22% at 90 days (95% CI 17% - 27%). The multivariable model included hyperlipidemia (hazard ratio [HR] 1.35; 95% CI 0.56 - 3.27), body mass index ≥ 25 kg/m² (HR 1.49; 95% CI 0.75 - 2.95), platelet count ≥ 25 x 10⁹/L (HR 1.42; 95% CI 0.67 - 3.00), increasing hemoglobin per 1 g/dL (HR 1.17; 95% CI 1.03 - 1.32) and d-dimer ≥ 1 µg FEU/mL (HR 2.68; 95% CI 1.08 - 6.66). Hemoglobin as a continuous variable and d-dimer ≥ 1 µg FEU/mL were included in the final model and used to create a risk score which was weighted by estimated log-HR sum of these risk factors. The lowest risk quartile (risk score below 2.1) successfully differentiated between a lower 30-day cumulative VTE incidence (4%, 95% CI 0.72% - 12%) compared with the other quartiles (20%, 95% CI 14% - 27%; HR 4.40, 95% CI 1.54 - 12.5) which were defined as high risk (score ≥2.1). The risk score's negative predictive value (NPV) for VTE at 30 days was 96% and positive predictive value (PPV) was 20%. The validation cohort (n=97 from 3 external cohorts with routine d-dimer measurement) included 16 (16.5%) patients in the low-risk group and 81 (83.5%) in the high-risk group, with a 30-day VTE incidence of 6.3% (95% CI 0% - 17%) and 21% (95% CI 12% - 30%), respectively (HR 6.22; 95% CI 0.85 - 45.8; p = 0.073)). The NPV (93.7%) and PPV (21%) were comparable to the derivation cohort. The 30-day incidence of major bleeding was 0% (95% CI NR - NR) in low-risk patients (HR 1.36; 95% CI 0.27 - 6.77) and 2.0% (95% CI 0.55% - 5.4%) in the high-risk group. Conclusion: Patients with ALL receiving ASP induction therapy have a 17% VTE risk at 30 days. We derived and externally validated a VTE risk prediction model based upon d-dimer and hemoglobin. This model successfully identifies at least 16.5% of patients with ALL who have a low VTE risk after ASP treatment. Using this model, novel prevention strategies which may be associated with cost and risk could now be tailored to patients with higher risk. Prospective studies are needed to validate the model's performance and role in VTE risk management.

Introduction Peripheral T-cell lymphoma (PTCL) encompasses a heterogeneous group of clinically aggressive entities. ~30% of cases cannot be further classified and are designated as PTCL - not otherwise specified (NOS). We delineated two novel molecular subgroups among PTCL-NOS with distinct clinical and biological features: PTCL-GATA3 which is characterized by high expression of GATA3, a master regulator of T-helper-2-cell (TH2) differentiation, and its target genes (i.e., CCR4, IL4, IL13) and PTCL-TBX21 which is characterized by high expression of TBX21, a master regulator of TH1 differentiation, and its target genes (i.e., CXCR3, IFNG), with the GATA3 subtype showing significantly worse clinical outcomes (overall survival). Nonsense mutations in CCR4 are found predominately in PTCL-GATA3, often within the cytoplasmic domain and gain-of-function in nature. Methods Mutation and copy number data were generated from whole exome sequencing (TFH phenotype excluded following LLMPP pathology review; n = 153). Single nucleotide variants were determined using Mutect2 and Varsvan2 using in-house filtering. Copy number (CN) profiles were generated using CNVkit. Four CCR4 cytoplasmic domain mutants and controls (cytoplasmic domain knockout [CDKO], wild-type CCR4 overexpression (CCR4-WT), and empty vector [EV]) were transduced into healthy-donor CD4+ T cells (n = 2). Polarization studies were generated using TH1- or TH2-associated cytokine exposure. Surface plasmon resonance was used to determine the binding affinity of CCR4 proteins to CCL17 and CCL22. In silico docking studies were done through Schrödinger's BioLuminate. Antibody-dependent cell-mediated cytotoxicity (ADCC) assay was performed through co-incubation of NK92 (CD16 and CD56) and CCR4 edited primary CD4+ T-cells (stained with calcein AM) for 2 hours at a 5:1 NK:T cell ratio by 7-AAD flow cytometry. Results PTCL-GATA3 had a higher frequency of CN aberrations (e.g. TP53, PTEN CN loss) and a more aberrant genome (p < 0.001) than PTCL-TBX21, including mutations with genes associated with DNA repair and damage (TP53, ATM) and T-cell differentiation (CCR4). CCR4 mutations were virtually mutually exclusive with TP53 mutations, and these cases showed higher CCR4 mRNA and protein expression than CCR4-WT cases (p < 0.05). Primary CD4+ T-cells with ectopic expression of the CCR4 variants, especially CCR4-Q330X, did not require CD3/CD28 for proliferation, bypassing CD3/CD28 ligation for T-cell activation. In addition, proliferation rates were similar between TH2-conditional media and normal media, but proliferation and TBX21 expression in TH1-conditional media were inhibited, implying a novel role of CCR4 in T-cell receptor (TCR) activation and TH-differentiation. CCR4 variant proteins showed higher binding affinity for their natural ligands, CCL22 and CCL17, with mutants exhibiting tighter binding to both ligands (1.5- to 3-fold decrease in KD) by surface plasmon resonance and in silico modeling studies. The in silico models demonstrated mutant CCR4 bound mogamulizumab tighter than CCR4-WT, consistent with a higher ADCC-induced apoptosis rate, highest with CCR4-Q330X mutation. CCR4-Y331X exhibited a worse docking score compared to CCR4-WT and a lower ADCC-induced apoptosis rate. Conclusions Our findings reveal distinct genetic characterizations including aberrant TP53 and PI3K signaling and CCR4 mutations in PTCL-GATA3. These CCR4 mutations are shown to have a key role in PTCL-GATA3 pathogenesis by dysregulating TH-differentiation and aberrantly activating the TCR. CCR4 mutation promotes the TH2 phenotype by blocking TH1 differentiation. CCR4 mutant proteins demonstrated an increased binding affinity towards its known ligands, CCL17 and CCL22, and mogamulizumab, consistent with previous studies exhibiting mogamulizumab efficacy against CCR4 mutations. However, the most frequent CCR4 mutant, Y331X, showed worse binding compared to other CCR4 mutants or CCR4-WT, a mutation that showed Mogamulizumab-resistance in a prior CTCL study as well as in an in vitro ADCC assay. The results emphasize aberrant pathways implicated by genomic and clinical evaluation of two novel PTCL subtypes, as well as support the novel role of mutant CCR4 in enhancing T-cell lymphomagenesis and T-helper differentiation, highlighting multiple therapeutic targets.

Introduction PET-directed therapy using ABVD with or without radiation therapy (RT) is considered standard in early stage classic Hodgkin lymphoma (cHL). Brentuximab vedotin (BV) and nivolumab (NVB) have transformed the treatment paradigm in advanced stage disease, but their roles remain uncertain in the management of early stage cHL. CALGB 50604 evaluated 2 cycles of ABVD followed by 2 more cycles of ABVD in patients with negative interim PET or 2 cycles of escalated BEACOPP and RT (3060 cGy) in patients with positive interim PET. More recently, ACCRU-LY1601 evaluated 3 cycles of BV+AVD followed by NVB consolidation in interim PET-negative patients. Interim PET-positive patients received 4 cycles of BV+NVB prior to NVB consolidation. Both studies had similar eligibility criteria as phase 2 trials in early stage non-bulky cHL. We hypothesize that patients who receive novel agents as part of frontline therapy (ACCRU-LY1601) may have superior clinical outcomes compared to those who receive conventional chemotherapy with or without RT (CALGB 50604) in adjusted analysis. Methods The primary endpoint was the progression free survival (PFS) rate at 3 years for both studies. The following secondary endpoints were analyzed: PET negativity (defined as Deauville score 1-3) at interim assessment, response rates, and adverse events (AEs). Data from the ACCRU-LY1601 up to May 2024 were included. Patient characteristics, complete metabolic response (CMR) rates, and AE incidence were compared with Fisher's exact tests. Kaplan-Meier techniques were used to estimate landmark survival rates; the 95% confidence intervals (CI) for probabilities of PFS at 3 years landmark rates were assessed. Results of a formal propensity-matched analysis are forthcoming. Results Two-hundred twenty-nine participants receiving frontline therapy for early stage, non-bulky cHL were identified for analysis (N=149 from CALGB 50604; N=80 from ACCRU-LY1601). Median age in both cohorts was 31 (ranges: 18-58 in CALGB 50604 and 19-60 in ACCRU-LY1601). The majority of patients were white (84.6% in CALGB 506048 and 82.5% in ACCRU-LY1601; P=0.58) and had stage II cHL (85.2% in CALGB 50604 and 88.8% in ACCRU-LY1601; P=0.83) with ECOG score of 0 (75.2% in CALGB 50604 and 75.0% in ACCRU-LY1601; P=0.87). B symptoms were present in 27.4% and 32.9% of patients in CALGB 50604 and ACCRU-LY1601, respectively (P=0.44). At time of analysis, the median follow-up was 3.8 years for CALGB 50604 and 3.6 years for ACCRU-LY1601. Interim PET results were available for 140/149 CALGB 50604 and 77/80 ACCRU-LY1601 cohorts; 90.1% and 94.8% were interim PET negative in CALGB 50604 and ACCRU-LY1601, respectively (P=0.31). Thirteen patients (8.7%) received RT after positive interim PET per the study protocol in CALGB 50604. No patient received RT while enrolled in ACCRU-LY1601 although 2 patients (2.5%) received RT off protocol. Seventeen PFS events (11.4%) were observed in CALGB 50604 while one event (1.3%) was observed in ACCRU-LY1601. Reported estimates of 3-year landmark PFS were 89.0% (95% CI, 84-95%) in CALGB 50604 and 97.5% (95% CI, 83.6-99.6%) in ACCRU-LY1601. Grade ≥ 3 AEs, including febrile neutropenia (6.3% in CALGB 50604 vs. 8.8% in ACCRU-LY1601; P=0.59), were similar between the trial cohorts. All grade peripheral sensory neuropathy was reported in 41.6% and 37.5% (Grade ≥ 3: 2.8% and 2.5%; P>0.99) of patients in CALGB 50604 and ACCRU-LY1601, respectively. Conclusion CALGB 50604 and ACCRU-LY1601 represent two recent studies aimed at developing new strategies to reduce exposure to cytotoxic chemotherapy and RT in early stage cHL. Both studies share the same primary endpoint with similar eligibility criteria, making the comparative analysis feasible. There was no significant difference in major baseline patient characteristics between the two studies. They also showed similar toxicity profiles, including comparable rates of febrile neutropenia and peripheral sensory neuropathy. ACCRU-LY1601 was associated with a higher rate of estimated 3-year PFS rate compared to CALGB 50604 (97.5% vs. 89.0%) although their CIs overlapped. Overall, the current data demonstrate the potential role of incorporating novel agents in frontline therapy to further reduce the use of cytotoxic chemotherapy and RT while improving survival outcomes, providing a strong basis for designing future trials in early stage cHL.

Introduction Genomic alterations are common in multiple myeloma precursor stages, monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM). However, commonly used stratification systems do not include somatic alterations that play a role in the disease. To address this clinical need, we generated a comprehensive genomic map of MM and precursors by harmonizing and analyzing mostly WGS data from 1,030 patients. We used these data to define a simple MM-like score, that is able to discriminate which premalignant patients are at risk to progress. Methods We collected, enriched, and performed WGS of tumor plasma cells and matched normals from 138 participants with MGUS or SMM, including those in low, intermediate, and high-risk groups. We combined our precursor dataset with genomic profiles from MM (n=20) and external sources of 872 individuals with MGUS (n=18), SMM (n=62), and MM (n=792) for a cohort of 1,030 individuals with MM or a precursor condition. In 16 patients, we could perform WGS serially from the bone marrow or circulating tumor cells (n=39) and reassess the presence of mutations. Results To develop a simple score that reflects the similarity of precursor genomes to full-blown multiple myeloma disease, we searched among the 107 common driver events (occurring in >1% of patients) and initiating translocations for ones that are differently altered in precursor conditions versus MM. We found 26 differentially altered events: only MAF and MAFB translocations were enriched in MGUS/SMM whereas 24 events were enriched in MM, including known drivers MYC, KRAS, FAM46C, del(1p) and gain(1q). We then defined a simple “MM-like” score for each tumor as the number of MM-enriched drivers minus the number of MGUS-enriched drivers. As expected, the MM-like score in our cohort increased throughout MM development (MM-like score median of 1 in MGUS, 2 in SMM, and 3 in MM). Even among SMM patients, we found a gradual increase of the MM-like score from low- (median=1), to intermediate (median=2), to high-risk (median=3) groups that match the overall medians in MGUS, SMM and MM (p=2e-5). We tested whether the MM-like score can be used to estimate risk of progression. Among untreated SMM patients characterized with WGS, an MM-like score greater than 2 was associated with a higher likelihood of progression (HR=5.3, P=0.03). Using an independent dataset of 87 patients with SMM, we were able to validate that a MM-like score greater than 2 was indeed associated with a higher risk of progression (HR=3.3, P=5x10-5). 11 patients who did not progress and for whom we performed longitudinal WGS, has stable MM-like scores over time, while three patients clinically progressed and their MM-like score increased at the time of progression (due to newly detected mutations in KRAS and NRAS). For the two remaining patients, their MM-like score increased, and we observed growth of the subclone that acquired the additional MM-like driver. In the first patient with MGUS/low-risk SMM, a novel hyperdiploid clone was detected in addition to a TP53 bi-allelic hit and t(11;14) translocation and was shown to increase in clonal fraction with tumor burden (light chains +104% within three years). In the second non-progressor with an increasing MM-like score, a novel del(1p) was detected, and other subclones in the phylogenetic tree either shrank or were stable over three years. Finally, because the MM-like score can place tumors on a gradual axis of evolution towards a more genomically-mature tumor, we tested whether the MM-like score was also predictive of survival in patients treated with a newly diagnosed MM. To do so, we calculated the MM-like score in patients from the publicly available CoMMpass database. We found that an increased score significantly correlated with shorter progression-free survival (median PFS1: 3 years in high score, versus 5 years in low/intermediate score; p=1e-3) and overall survival (median OS: 4.5 years in high score, versus not reached in low/intermediate score; p=1e-5). Conclusion Overall, we demonstrate that it is possible to stratify precursor stages of MM by discovering drivers, detecting those that are associated with the stage of the disease, and defining a genomically-based score that can be used to assess risk of progression and is easy to implement in the clinic.

Introduction: TP53 mutations are found in 18% of adult patients (pts) with acute lymphoblastic leukemias (ALL), and portends poor prognosis (Saygin, Blood Cancer Discov 2024). TP53 mutations are often associated with low hypodiploidy and Li Fraumeni syndrome (germline) in children. However, we and others have shown that TP53-mutant (TP53-m) ALL arises from pre-existing TP53-m clonal hematopoiesis in adults as opposed to germline origin. The impact of co-occurring mutations, TP53 allelic frequency (AF) and different types of treatment on outcomes of TP53-m ALL are not fully characterized. We set out to investigate the clinical and molecular predictors of outcomes in adults with TP53-mutant ALL. Methods: We retrospectively studied 107 patients with TP53-m ALL treated at seven different academic centers in North America. Genetic profiling of pre-treatment bone marrow samples was performed with a comprehensive panel covering 147 myeloid and lymphoid genes. We also performed RNA-sequencing to identify fusions that define ALL subtypes. Single nucleotide polymorphism (SNP) array was used to define low hypodiploidy. Results: The median age at diagnosis was 59 years (range, 10-80), 42% were female, 70% White. 89% of pts had B-ALL while 11% had T-lineage ALL. 24% of pts were classified to have therapy-related ALL based on their history of exposure to genotoxic therapy for another cancer. 45% of pts had hypodiploid karyotype, 79% of whom were low-hypodiploid. 7% had hyperdiploid karyotype and 5% had BCR::ABL1. 11 pts had two different TP53 variants. 90% of TP53 variants involved the DNA binding domain. Most frequently observed co-occurring mutations involved CDKN2A (20%), NOTCH1 (12%) and RB1 (10%) genes. 71% of pts were treated with standard cytotoxic chemotherapy, while the remaining pts received newer antibody-based therapies (i.e., inotuzumab, blinatumomab) or venetoclax in first-line setting. 11% of pts received allogeneic hematopoietic cell transplant (HCT) in first complete remission (CR1) while 3% received HCT after relapse (CR2 or CR3). When patients with vs without low hypodiploidy were compared, we did not observe a significant difference in overall survival (OS) as outcomes were poor in both groups (median, 17 vs 19 months, p= 0.89). However, pts who had TP53 AF >0.5 had significantly worse OS when compared to pts with TP53 VAF <0.5 (13 vs 25 months, p= 0.03). Conclusions: TP53-m ALL is a very high-risk disease subtype and its dismal outcome is independent from presence of co-existing low hypodiploidy. Loss of heterozygosity, characterized by TP53 AF >0.5 is associated with even worse survival. New therapies are urgently needed to improve outcomes in this subset.

Background: Fc receptor-homolog 5 (FcRH5) is a type I membrane protein that is expressed exclusively in the B-cell lineage, and at a higher level on multiple myeloma (MM) cells than on normal B cells. Cevostamab is a FcRH5xCD3 bispecific antibody that facilitates T cell-mediated killing of MM cells. In an ongoing Phase I dose-escalation and dose-expansion study (GO39775; NCT03275103), cevostamab monotherapy demonstrated target dose (TD)-dependent activity and manageable safety in patients (pts) with heavily pretreated RRMM (Trudel et al. ASH 2021). We report updated efficacy and safety data from pts who received cevostamab once every 3 weeks (Q3W) at the 160mg TD level. Methods: Eligible pts were those with RRMM for which no established therapy was available or appropriate. Cevostamab was initiated with Cycle (C) 1 single-step (SS) dosing, double-step (DS) dosing (Trudel et al. ASH 2021), or triple-step (TS) dosing (step doses on D1, D2 [or D3 or D4 depending on the emergence and resolution of cytokine release syndrome [CRS] with the previous administration], and D8, TD on D9 [or D10 or D11]). Cevostamab was then continued at the TD on D1 of each subsequent 21-day cycle. Cevostamab was continued for 17 cycles, unless disease progression or unacceptable toxicity occurred. Results: As of February 23, 2024, 167 pts (median age: 66 years, range: 40-90; ECOG PS: 0, 35% or 1, 65%; median time from first MM therapy: 6.3 years, range: 0.3-21.8) had received cevostamab at the 160mg TD level (SS: n=10; DS: n=97; TS: n=60); 28% of pts had extramedullary disease and 38% of pts with a conclusive assay result (38/100) had high-risk cytogenetics (t(4;14), t(14;16), or del(17p)). The median number of prior lines of therapy was 6 (range: 2-18). Almost all pts (95.8%) were triple-class refractory and 73.7% were penta-drug refractory; 85.0% were refractory to their last prior therapy. A majority (57%) of pts had received ≥1 prior B-cell maturation antigen (BCMA)-targeted therapy. Twenty four percent of pts had received ≥1 prior bispecific antibody. Median observation time was 11.3 months (range: 0.5-42.8). The overall response rate (ORR) in all pts who received cevostamab at the 160mg TD level was 43.1% (72/167 pts); 6.6% achieved a stringent complete response (CR), 6.6% a CR, 12.6% a very good partial response (VGPR), and 17.4% a partial response (PR). The VGPR or better rate was 25.7%. Median time to first response (PR or better) was 1.4 months (range: 0.6-4.6) and to best response was 2.4 months (range: 0.7-13.4). Median duration of response was 10.4 months (95% CI: 6.8, 10.5). ORR was 30.2% (29/96) in pts with ≥1 prior BCMA-targeted therapy and 60.6% (43/71) in those without. ORR was 30.0% (12/40) in pts with ≥1 prior bispecific antibody, 33.3% (20/60) with ≥1 prior chimeric antigen receptor (CAR) T-cell, and 41.2% (14/34) with ≥1 prior antibody-drug conjugate. Common (≥20%) adverse events (AEs) included CRS (74.3%; Grade [Gr] 1: 52.7%; Gr 2: 19.8%; Gr 3: 1.2%; Gr 4: 0.6%), neutropenia (31.1%; Gr 1-2: 3.0%; Gr 3: 12.0%; Gr 4: 16.2%), cough (30.5%; Gr 1-2: 29.9%; Gr 3: 0.6%), nausea (28.1%; Gr 1-2: 27.5%; Gr 3: 0.6%), diarrhea (24.0%; all Gr 1-2), anemia (23.4%; Gr 1-2: 5.4%; Gr 3: 17.4%; Gr 4: 0.6%), and fatigue (21.0%; Gr 1-2: 19.8%; Gr 3: 1.2%). Possible immune effector cell-associated neurotoxicity syndrome (ICANS) occurred in 13.2% of pts (Gr 1: 6.0%; Gr 2: 5.4%; Gr 3: 1.8%). Infections occurred in 53.9% of pts, with serious events and Gr ≥3 events in 22.2% and 19.2%, respectively. Treatment-related AEs leading to cevostamab discontinuation occurred in 11 pts (6.6%) and treatment-related Gr 5 (fatal) AEs in 3 pts (1.8%; hemophagocytic lymphohistiocytosis, n=2; disseminated intravascular coagulation and pseudomonal sepsis, n=1). In the 0.3/1.2/3.6/160mg TS cohort, CRS occurred in 19/30 pts (63.3%) and was all Gr 1 (46.7%) or Gr 2 (16.7%). Pts with CRS were managed with tocilizumab (47.4%), steroids (21.1%), or both agents (10.5%). No pts discontinued cevostamab due to CRS and all events were resolved at cut-off. Conclusions: Cevostamab demonstrates clinically meaningful activity and manageable safety at the 160mg TD level in pts with heavily pretreated RRMM. C1 TS dosing provides effective CRS mitigation. Cevostamab combination studies may use the 0.3/1.2/3.6mg TS regimen and the Q3W 160mg TD (or similar TD exposure).

Introduction MM is characterized by the proliferation of abnormal clonal plasma cells, causing destructive bone lesions, kidney injury, anemia, and hypercalcemia. Treatment of MM involves immunomodulatory agents, proteasome inhibitors, and anti-CD38 monoclonal antibodies to achieve disease remission. AL amyloidosis comprises disorders of abnormal extracellular deposition of misfolded proteins in various organs with resultant damage, and the key strategy of treatment is to prolong the time to or reverse organ dysfunction. However, many patients will relapse from the standard triplet or quadruplet therapies, necessitating additional treatments with novel mechanisms of action. Lisaftoclax is a novel investigational BCL-2 inhibitor with strong antitumor activity in hematologic malignancies. Here, we report clinical trial data on lisaftoclax combined with novel therapeutic regimens in pts with R/R MM or R/R AL amyloidosis. Methods Eligible patients had an ECOG performance status ≤ 2, ≥ 1 prior line of therapy, and adequate organ function. Patients with R/R AL amyloidosis had confirmed symptomatic organ involvement, purpura, and/or carpal tunnel syndrome. Lisaftoclax was administered orally daily at doses assigned in repeated 28-day cycles. Pomalidomide, daratumumab, and lenalidomide were administered per label use. Dexamethasone 40 mg (20 mg, pts > 75 years old) was administered on days 1, 8, 15, and 22 of 28-day cycles. This study evaluated the safety and efficacy of lisaftoclax combined with pomalidomide and dexamethasone (Pd; Arm A) or daratumumab, lenalidomide, and dexamethasone (DRd; Arm B) in R/R MM and lisaftoclax combined with Pd in R/R AL amyloidosis (Arm C). Intensive blood samples were collected for pharmacokinetic (PK) analyses. Results As of May 29, 2024, 52 pts were enrolled, including 42 with R/R MM and 10 with AL amyloidosis. In Arm A (n = 35), lisaftoclax was administered orally at dose assigned: 400 mg (n = 3), 600 mg (n = 4), 800 mg (n = 15), 1,000 mg (n = 7), and 1,200 mg (n = 6). In Arm B (n = 7), all pts were treated with lisaftoclax 600 mg. In Arm C (n = 10), lisaftoclax was administered at 400 mg (n = 1), 600 mg (n = 4), 800 mg (n = 3), and 1,000 mg (n = 2). The median (range) age of all patients was 69.5 (24-88) years, of whom 63.5% were male and 63.5% were ≥ 65 years of age. The enrolled patients were heavily treated, with a median (range) number of treatment cycles of 4 (1-26), and a median (range) number of prior therapy lines of 3 (1-19). In Arm A, out of 31 evaluable patients, 3 (9.7%) achieved complete remission (CR), 7 (22.6%) reached very good partial remission (VGPR), and 9 (29.0%) achieved partial response (PR). The overall response rate (ORR) was 19 (61.3%), and the ≥ VGPR rate was 10 (32.3%). In Arm B, of 4 evaluable patients, 2 (50%) achieved CR and 2 (50%) ≥ VGPR. In Arm C, of 7 assessed patients, 1 (14.3%) achieved CR, 4 (57.1%) VGPR, 1 (14.3%) PR, and 5 (71.4%) ≥ VGPR, for an ORR of 6 (85.7%); 2 pts had cardiac response. Among 49 pts in the safety population, 34 (69.4%) reported any-grade lisaftoclax treatment-related AEs (TRAEs; ≥ 5% incidence), including neutropenia (20.4%), thrombocytopenia (6.1%), leukopenia (10.2%), nausea (16.3%), abdominal distension (10.2%), diarrhea (12.2%), and constipation (8.2%). A total of 11 pts experienced grade ≥ 3 TRAEs, including neutropenia (14.3%) and febrile neutropenia (2%), and 3 pts experienced lisaftoclax-related serious AEs (1 each): febrile neutropenia, acute kidney injury, and diarrhea with electrolyte imbalance. In Arm B, 1 pt experienced a dose-limiting toxicity (prolonged QT interval). Pharmacokinetic analyses showed no drug-drug interaction (DDI) in all pts treated with lisaftoclax at all doses in combination with other therapeutic agents used in 3 arms. Conclusions Our findings suggest that lisaftoclax improves the depth of response in pts with R/R MM or AL amyloidosis when combined with Pd or DRd. These combination therapies demonstrated a favorable safety profile with no drug-drug interactions, particularly in hematologic side effects. ClinicalTrials.gov registration: NCT04942067; internal study identifier: APG2575MU101.

Background: The term classical hematology (CH), referring to a subspecialty focusing on non-cancer blood disorders, was officially adopted by the American Society of Hematology (ASH) in 2022. There is a perceived shortage of classical hematologists, although data are limited (Winter JN, Hematologist 2022). Prior studies have shown that <6% of hematology-oncology fellows pursue a practice subspecializing in CH after training (Todd RF, Blood 2004; Marshall Al, Blood Adv 2018). Moreover, mentorship is consistently cited as the most important factor guiding fellows' career decisions (Sharma D, Blood Adv 2019; Masselink LE, Blood Adv 2019). To help bridge the CH workforce gap, ASH has supported additional hematology-focused fellowship programs (HFFP) within select hematology-oncology fellowship programs. CH constitutes a large proportion of consults in US National Cancer Institute (NCI)-designated cancer centers (West CV, JCO Oncol Pract 2024). The goals of our study were: 1) to determine the proportion of adult hematologist-oncologists within NCI cancer centers who practice CH; and 2) to describe the physician characteristics of cancer centers with HFFP and compare these centers to those without HFFP. Methods: We included all NCI-designated cancer centers with a clinical program as of April 1, 2024. The only exception was St Jude Children's Hospital due to its pediatric focus. We obtained the practice profile of each internal medicine-trained adult hematologist-oncologist (henceforth, physician) as well as the availability of HFFP from the respective cancer center websites. We also searched the corresponding department of medicine and division of hematology at each affiliated academic institution to ensure inclusion of all physicians practicing CH. Each physician was classified into one of the following categories: classical hematologist (attending to only non-cancer conditions), general hematologist-oncologist (cancer and non-cancer conditions), and oncologist (cancer only). The number of hematology-oncology fellowship programs in the US was obtained from the Accreditation Council for Graduate Medical Education. Results: We included 64 NCI-designated cancer centers, 55 of which were considered as comprehensive cancer centers. There was a total of 4,616 physicians (3,891 oncologists [84.3%], 487 hematologists-oncologists [10.6%], and 238 classical hematologists [5.1%]). The median numbers of physicians, oncologists, general hematologist-oncologists, and classical hematologists per center were 55 (range, 16-275), 45 (range, 12-270), 5 (range, 0-48), and 3 (range, 0-13), respectively. The median proportions of classical hematologists and physicians practicing CH (general hematologist-oncologists plus classical hematologists) were 5.1% (range, 0-20.0) and 14.9% (range, 0-55.6%), respectively. There were 12 HFFP within NCI-designated cancer centers (18.8%). Most (11/12) centers with HFFP had >50 physicians (median 95 [range, 38-185]) and >5% classical hematologists (median 6% [range, 3.8-13.5%]); 11 centers with similar characteristics did not have HFFP. Centers with HFFP have significantly higher numbers of physicians (median 95.0 [range, 38-185] vs 49.5 [range, 16-275]; P=0.001) and classical hematologists (median 6.0 [range, 3-13] vs 2.0 [range, 0-11]; P<0.001) but similar proportions of classical hematologists (median 6.0% [range, 3.8-13.5] vs 4.5% [range, 0-20.0]; P=0.078) and physicians practicing CH (median 12.3% [range, 6.5-47.7] vs 15.7% [range, 0-55.6]; P=0.402) compared to those without HFFP. Conclusions: Among adult hematologist-oncologists at NCI-designated cancer centers, only 1 in 20 are classical hematologists, although 1 in 7 have CH as part of their practice. Within NCI-designated cancer centers, only 1 in 5 have an HFFP. These findings suggest that there is an opportunity for NCI-designated cancer centers to encourage and recruit physicians subspecializing in CH and a rationale to create additional HFFPs. These measures may help further alleviate CH workforce shortages and expand CH mentorship to meet the needs of an increasingly complex subspecialty within hematology.

Introduction Assessing bleeding symptoms is essential for diagnosing bleeding disorders. Bleeding assessment tools (BATs) were developed to standardize the collection of bleeding symptoms and their severity, thereby enhancing the diagnostic accuracy. However, their diagnostic precision across various inherited bleeding disorders remains unclear. Therefore, we conducted a systematic literature and meta-analysis to evaluate the diagnostic accuracy of BATs in pediatric and adult populations. This systematic review and meta-analysis aimed to evaluate the diagnostic accuracy of BATs in pediatric and adult populations. Objective: To evaluate the diagnostic effectiveness of BATs in identifying laboratory-confirmed inherited bleeding disorders. Methods Literature Search Strategy: A comprehensive systematic literature search was conducted across Scopus, Embase, Web of Science, MEDLINE, ClinicalTrials.gov, Cochrane Central Register of Controlled Trials, and the World Health Organization databases from inception until January 27, 2024 Study Selection: Two independent reviewers screened titles and abstracts using Covidence (Covidence systematic review software, Veritas Health Innovation). Data extraction was performed independently by two authors reviewing and collecting data in duplicate from all selected articles. Eligibility Criteria: Included studies reported on the diagnostic accuracy of any BAT in diagnosing inherited bleeding disorders. Exclusion criteria included abstracts, review articles, case reports/series, studies focusing solely on distinguishing specific bleeding disorders, and those lacking sufficient data to assess test accuracy. Quality Assessment: Risk of bias was evaluated using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool. Two authors assessed each article independently and each study was categorized as having a low, moderate, or high risk of bias. Results Of 7,009 studies identified, 31 met the inclusion criteria, comprising 6,962 patients (2,152 with bleeding disorders, 4,810 controls). Most studies (74%) were prospective. Studies assessed various bleeding disorders: 39% all types, 32% von Willebrand Disease (VWD), 10% Inherited Platelet Function Disorder (IPFD), 10% both VWD and IPFD, and 10% other rare disorders. The ISTH-BAT was the most frequently used tool (47%), followed by MCMDM-1 VWD (21%) and PBQ (18%). The pooled prevalence of confirmed bleeding disorder in all prospective studies was 32% (range, 3%-71%). The pooled sensitivity for BAT in all included studies (31 studies) was 82% (95% CI, 76.5%-86.7%) and the specificity was 66% (95% CI, 54%-76%). Subgroup analysis revealed that the ISTH-BAT (studies: BD 6, VWD 5, IPFD 3, GT/BSS 2), had a sensitivity of 77% (95% CI, 69%-84%) and a specificity of 70% (95% CI, 58%-80%), the MCMDM-1 VWD (studies: VWD 4, BD 2, GT/BSS 1) had sensitivity of 78% (95% CI, 61%-89%) and a specificity of 79% (95% CI, 54%-92%) , and the Pediatric Bleeding Questionnaire (studies: BD 3, VWD 2, VWD/IPFD 1) had a sensitivity of 93% (95% CI, 85%-97%) and a specificity of 73% (95% CI, 41%-92%) . The sensitivity and specificity of BATs for studies investigating all types of bleeding disorders (12 studies) soley VWD (10 studies), and soley IPFD (3 studies) were 80% (95% CI, 67%-88%) and 50% (95% CI, 34%-67%) , 79% (95% CI, 71%-86%) and 83% (95% CI, 59%-95%), and 85% (95% CI, 79%-89%) and 74% (95% CI, 56%-86%), respectively. Significant heterogeneity was observed across studies in terms of populations, BATs used, and diagnostic methods. This heterogeneity limits the generalizability of the results and suggests that BAT performance may vary depending on the specific clinical context and patient population. Additionally, 26% of studies were classified as having a high risk of bias, potentially affecting the reliability of some findings. Conclusion Despite heterogeneity, this meta-analysis supports the use of BATs as valuable screening tools for inherited bleeding disorders, demonstrating generally high sensitivity across various patient populations. However, the variability in specificity across different disorders and tools underscores the need for careful selection and interpretation of BATs in clinical practice. Further standardization of BATs and diagnostic criteria could improve their utility in diverse clinical settings.

Introduction Plasmablastic lymphoma (PBL) is a rare aggressive subtype of lymphoma. It is more common in HIV positive patients, and is often associated with Epstein-Barr virus (EBV) and MYC rearrangements. PBL is characterized by markers of plasmacytic differentiation including CD138 and MUM1/IRF4, and loss of B-cell markers such as CD20, which suggests a cell of origin similar to that of multiple myeloma (MM) or activated B-cell-like (ABC) diffuse large B-cell lymphoma (DLBCL). The standard of care for PBL is CHOP-based chemotherapy but this is frequently not curative. Other than EBV-negative status, which defines a high-risk group, no other biological features have been discovered that are associated with outcomes. Methods Here, we provide a comprehensive analysis of the genomic and transcriptomic landscape of PBL using a collection of 176 exomes and genomes (n=55 new, contributed by Lymphoma/Leukemia Molecular Profiling Project [LLMPP] sites and centrally reviewed by the LLMPP pathology panel [WHO 2016]; n=121 previously published [PMID: 33225311, 33951889, 34465776, 34714908]), 65 transcriptomes (n=44 new; n=21 published) and 37 in situ single cell transcriptomic profiles (CosMx Spatial Molecular Imager) from archival diagnostic tissue biopsies. Somatic mutations (SNVs/Indels) were identified using an ensemble of four variant callers (Strelka2, Lofreq, Mutect2, SAGE). Salmon and DESeq2 were used to identify differentially expressed genes. This multi-omics dataset was compared to other known B-cell malignancies including 92 MM, 238 Burkitt lymphomas (BL), and 208 DLBCLs. Cell segmentation of the CosMx data was performed using Baysor and downstream analyses were conducted using the Seurat workflow. For functional validation, cell viability assays (CellTiter-Glo Luminescent Assay) were conducted in the PBL cell line, PBL-1, and 4 control DLBCL cell lines. Results Within the cohort, 63% (106/169) of primary PBL cases were EBV-positive (EBV+) and 57% (82/144) harbored MYC rearrangements (MYC+). When stratifying patients by EBV and MYC rearrangement status, mutations in different genes were enriched in each group: STAT3 occurred in 55% (29/53) of EBV+/MYC+ PBLs; NOTCH1 in 19% (7/36) of EBV+/MYC-; MYC in 24% (6/25) and TP53 in 40% (10/25) of EBV-/MYC+ tumors; TET2 was mutated in 38% (9/24) and KRAS in 25% (6/24) of EBV-/MYC- PBLs. EBV-/MYC+ tumors represented a subgroup of patients with dismal outcomes. The 2-year overall survival (OS) of these patients was 22% compared to 61%, 78%, and 54% of EBV+/MYC+, EBV+/MYC-, and EBV-/MYC- PBL patients, respectively (log-rank test p-adj. < 0.05). Consistent with previous studies, we observed recurrent mutations affecting JAK-STAT (STAT3, SOCS1, SOCS3, DUSP2) in 41% of cases and RAS-RAF (NRAS, KRAS, BRAF) signaling in 38% of all PBLs. In contrast to ABC-DLBCL, very few mutations occurred in the NF-κB signalling pathway. Accordingly, PBL showed marked downregulation of genes involved in B-cell receptor and NF-κB signaling. Consistent with the lack of reliance on these pathways, functional analyses in PBL-1 showed resistance to treatment to ibrutinib as well as PI3K- and MALT1-inhibitors. Moreover, constitutive expression of the IκBα super-repressor did not affect viability of PBL-1 cells. In situ single cell transcriptomic data analyses showed a sparse tumor microenvironment (TME) in PBL, with the primary non-malignant cell types being, on average, 10% macrophages, 7% NK/T cells, and 4% stromal cells of all represented cell types. EBV+/MYC+ tumors displayed a more abundant immune cell population with higher levels of macrophages (median 12%) and NK/T cells (median 9%), whereas EBV-/MYC- tumors were composed of the lowest levels of immune cells (median 4% macrophages and 1% NK/T cells). With respect to malignant cell phenotypes, we noted a novel population of SPP1-expressing cells that were enriched in EBV+/MYC+ tumors and a population of CD44-expressing cells that were enriched in EBV+/MYC- tumors. Conclusion Here we present novel subgroups of PBL with unique biology and clinical outcomes. We show that PBL does not rely on B-cell receptor signaling, instead relying on potentially targetable vulnerabilities in JAK-STAT, NOTCH, and RAS-RAF signaling according to EBV positivity and MYC rearrangement status. Lastly, we provide insight into the TME of PBL and demonstrate a novel population of SPP1 and CD44 expressing malignant cells in EBV+ tumors.