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Introduction: Complex karyotype (CK, ≥3 chromosome (chr) abnormalities (abn)) is an important adverse prognostic indicator in chronic lymphocytic leukemia (CLL). CK at diagnosis (dx) of CLL, particularly with major structural chr abn (i.e. unbalanced translocation, add, marker, ring chr), called type-2 CK (CK2), has been associated with an increased risk of Richter transformation (RT) (Visentin Haematologica 2022). RT is defined as development of aggressive lymphoma, most often large B-cell lymphoma, in the setting of CLL. In patients (pts) with relapsed/refractory CLL treated with ibrutinib, CK as a continuous variable and the presence of polyploidy were independent predictors for RT. CK is a common finding at the time of RT, and high-CK (≥5) has been associated with short survival in RT, although previous studies predominantly included pts with prior chemoimmunotherapy (CIT) administration for their CLL. The prognostic significance of CK in pts with RT whose prior CLL-directed therapies include only non-CIT, as is the current standard of care for CLL, has not been evaluated. Methods: We conducted a multicenter, retrospective analysis of pts from 14 academic centers. Pts with RT diagnosed between 6/2011 to 6/2023, who had CLL-directed treatment that did not include prior CIT, with stimulated karyotype data available, were included. Pts who did not receive treatment for their CLL prior to developing RT were not included. Baseline pt, disease, and cytogenetics data were collected via chart review at time of CLL diagnosis and at the development of RT. Karyotype abn up to 20 were counted on both CLL tissue (peripheral blood or bone marrow) and RT tissue using IWGMC guidelines (Chun Leuk Res 2010). CK was categorized as CK1 (balanced abn, deletion, aneusomies) or CK2. Polyploidy was defined as ≥58 chrs. Karyotype was considered evolved if one or more chr abn were seen in a follow-up sample of CLL tissue that were not seen at CLL dx.TP53 disruption was defined as presence of del(17p) or TP53 mutation. Overall survival (OS) was measured from RT dx and estimated using the Kaplan-Meier method. Cox regression model was used to identify prognostic factors associated with OS. Results: A total of 64 eligible pts were identified. Median age at RT dx was 65 years (range 40-89) and 71.9% of pts were male. Of those evaluated (n=49), 79.6% had unmutated IGVH. Median number of therapies for CLL prior to RT was 1 (range 1-5) and included BTK inhibitor (n=37), BCL2 inhibitor (n=3), both (n=18), or other non-CIT treatment (n=6). At CLL diagnosis, 54.7% of pts had a CK, and the median number of chr abn was 3 (range 0-20). Of those with CK, 96.9% had a CK2, and 6.3% had a polyploid subclone. TP53 disruption was found in 46% of pts. At time of RT, chr analysis of CLL tissue was available for 38 pts and showed 78.9% had a CK, and the median number of chr abn was 8 (range 0-20). Polyploidy was found in 29.6%. TP53 disruption (46 pts evaluated) was found in 52.2%. Karyotype evolution from dx (35 pts evaluated) occurred in 74.3% of pts. In RT tissue, of those evaluated (n=29), 96.6% were clonally related to the preceding CLL. MYC translocation (45 pts evaluated) occurred in 17.8%. CK (20 pts evaluated) was found in 70%, with a median number of chr abn of 8 (range 0-20). Of those with CK, 33.3% had a polyploid subclone. With a median follow-up of 17.8 months (range 2.1-83.0) there were 42 deaths, with a median OS of 14.3 months (range 6.9-29.1). For this subset of patients with karyotype data available who would go on to develop RT, an exploratory univariable analysis for OS from RT found that increasing number of chr abn as a continuous variable at CLL dx was associated with worse OS (HR 1.10, 95% CI 1.02-1.19, p=0.01). Similarly, at RT, increasing number of chr abn in CLL tissue (HR 1.09, 95% CI 1.02-1.16, p=0.01) and in RT tissue (HR 1.09, 95% CI 1.01-1.18, p=0.03) was also prognostic of survival. Karyotype evolution in CLL tissue at RT (HR 3.02, 95% CI 1.02-8.94, p=0.05) was borderline significant for worse OS. Conclusions: Our multi-center study identified increasing number of chr abn at CLL diagnosis and at time of RT, and clonal evolution in the CLL tissue, are associated with worse OS in pts with RT whose CLL was treated without CIT. Limitations include incomplete cytogenetics data across the cohort and potential variability across institutions in cytogenetics laboratory practices. This provides further evidence for the clinical utility of chr analysis in the modern era of CLL therapy.

Introduction Talquetamab (Tal) is a bispecific antibody therapy approved for patients with relapsed/refractory multiple myeloma (MM), targeting both GPRC5D x CD3 receptors. Clinical studies demonstrate that Tal creates deep and durable responses, but less is known about the patient experience. This study aimed to explore the experiences of patients from the patient and physician perspectives to help understand what to expect with this first-in-class novel therapy. Methods This qualitative study consisted of two components. First, patients with documented use of Tal were identified and recruited through the HealthTree Cure Hub. Individual patients then took part in 2-hour, semi-structured virtual interviews. Patients were asked to discuss their experiences 1-2 months prior to starting Tal and 4-5 months after beginning therapy. Patients discussed GPRC5D-related symptoms (including oral, skin-related, and nail-related symptoms), overall impact, and satisfaction. Participants were US adults diagnosed with MM who took Tal for at least 4 months, either in a clinical trial or commercial setting. Interviews were conducted February-April 2024. Second, patients and physicians gathered in a facilitated roundtable discussion to review findings and generate ideas for symptom management. The roundtable lasted 2.5 hours and took place in Chicago, IL in May 2024. Results Eight men and 4 women (n=12) aged 52-79 years participated in the interviews. Interviewed participants were mostly white (84%) and college-educated (84%). Seven (58%) received Tal in a clinical trial, and 9 were still receiving Tal. Roundtable participants included 3 patients (2 male, 1 female; all white and college educated), and 3 physicians with Tal experience. In the interviews, patients reported high overall satisfaction, with most (75%) rating their satisfaction an 8 or higher on a 10-point scale. Satisfaction was largely driven by the effectiveness of therapy, with all reporting clinical improvements in their MM disease. Patients reported improvements in their energy/strength and decreased fatigue. They also reported increased physical activities and ability to work, volunteer, or engage in hobbies. Physicians affirmed these findings as consistent with their observations and noted they are also very satisfied with Tal. Oral symptoms such as distorted taste/loss of taste and dry mouth were common with varying severity. Although all interviewees (n=12) reported taste symptoms (typically starting within the first month of therapy), five said their symptoms fully improved (3 after 1 year on treatment, and 2 after stopping treatment), and 4 experienced partial recovery. Ten lost weight, but most (92%) maintained adequate nutrition. Patients and physicians suggested coping strategies including diet modifications, use of strong flavors (e.g., spices, cinnamon), monitoring weight, prioritizing adequate calories, using mouthwashes/lozenges, drinking water while eating, taking small bites, and consuming foods that are easier to swallow. They also noted that it is important to educate patients on expected symptoms before starting the treatment. Skin- and nail-related symptoms were also common but less impactful on quality of life. All patients (n=12) experienced skin- and nail-related symptoms, but most considered these symptoms mild. Skin-related symptoms such as dry skin and skin exfoliation occurred once and typically lasted 1-2 months. Nail symptoms were primarily cosmetic, and the duration varied. Suggested management strategies include skin moisturizers, nail thickeners/hardeners, keeping nails short, and wearing protective gloves. Physicians noted it's helpful to reassure patients that nail loss is not harmful. Overall, GPRC5D-related symptoms were not treatment-limiting, and no patients had to miss a dose due to these symptoms. Patients perceived these symptoms as bearable but noted the treatment was effective at controlling the disease. Conclusions This study described patient experiences and reflected how patients perceive the benefit/risk profile of talquetamab. Symptoms were perceived as bearable and high satisfaction scores were driven by strong clinical effectiveness. Patients and physicians agreed that real-world feedback from patients, practical tips, and management strategies are vitally important for patients and physicians using this novel therapy.

Background: Splenic marginal zone lymphoma (SMZL) is a rare indolent disease with a median overall survival (OS) of more than 10 years, although a proportion of patients may develop aggressive histology transformation. In a previous report from this large, international dataset, the 10-year cumulative incidence of transformation was 17% (95% 13-21) and in another study of 186 patients, the 10-year cumulative incidence was 14%Click or tap here to enter text.. In this report, we focus on risk factors for transformation as well as clinical characteristics and outcomes of transformed SMZL (tSMZL). Patients and methods: Adults diagnosed with SMZL in 2000-2018 were identified through regional or nationwide population-based registries or from hospital registries. Only patients likely to have SMZL as defined by Matutes et al. were included. Those with discordant lymphoma and/or transformation at diagnosis were excluded. Medical records were reviewed by local clinicians with experience in hematology/oncology, and detailed information on clinical characteristics, treatment lines, and outcomes was collected. Only histologically confirmed high-grade transformations (HT) were included. OS was defined as the time from transformation to death or censoring at last follow-up. Additional analyses stratified by treatment exposure prior to HT and treatment of HT were conducted. Multivariable Cox analyses were performed to determine clinicopathological features associated with transformation and OS. Results: Out of 940 patients with SMZL, 111 developed HT during a median follow-up of 9.1 years. The median time from diagnosis to HT was 3.4 years with an interquartile range of 1.6-7.4 years. Median age at HT was 71 years. Patients with HT shared similar baseline characteristics to those without in terms of age at diagnosis (66.4 vs 67.6), f:m ratio (1.5 vs 1.1) and ECOG ³2 (7.2% vs 7.4%). The 5-yr OS from the time of HT was 42% (CI 95%, 32-54). Of the 111 patients with tSMZL, a complete treatment history from SMZL diagnosis until HT was available for 88 included in the following analyses. By the time of HT, 46 had not received any prior systemic therapy (37 only splenectomy, 9 no therapy), 6 patients had received rituximab alone or combined with splenectomy, and 36 patients had received chemotherapy alone or as part of combined modality treatment. In a uni- and multivariable models for HT, we assessed age, treatment at diagnosis, sex, extra-hilar lymphadenopathy, and extranodal involvement. In both the uni- and multivariable model, age >70 (HR 1.9, 95% CI: 1.1-3.4), immediate treatment including splenectomy (HR 2.0, 95% CI: 1.05-3.6), and extra-hilar lymphadenopathy (HR 1.9, 95% CI: 1.1-3.3) were associated with higher HT hazard, while extranodal involvement (HR 0.23, 95% CI: 0.06-0.84) was associated with a lower HT hazard. At the time of first-line treatment, multivariable analysis revealed similar results and with no association between risk of transformation and treatment strategy (i.e splenectomy alone, rituximab monotherapy or chemotherapy with /without rituximab or splenectomy, and other). At the time of HT, patients who had been previously treated with chemotherapy had an inferior 5-year OS of 24% (95%CI: 13-44%) versus 54% (95%CI: 41-71%) for those who had not received chemotherapy prior to HT. In contrast, there was no difference in the survival of patients that transformed less than or more than 24 months from diagnosis with 5-year OS after HT of 35% (95%CI 20-60%) and 45% (95%CI, 33-61%) respectively. In a multivariable Cox regression analyses of age at time of HT, sex, time since last treatment <24 months, chemo-exposure in previous treatment lines and anthracycline-containing therapy (+/-R) at the time of HT, only prior chemo-exposure was borderline associated with poorer OS (HR 1.8, 95%CI: 0.9-3.5). Conclusion: Patients with SMZL face a notable risk of developing tSMZL over time. Patients in need of immediate treatment at first SMZL diagnosis, age >70 and extrahilar lymphadenopathy had a higher risk of tSMZL and outcomes at the time of HT were poor if patients had been exposed to prior chemotherapy after adjustment for age, sex, and time since last treatment.

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

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

Despite the high initial responses to chimeric antigen receptor T (CART) cell therapy, most patients relapse within the first 1-2 years. T cell quality influences the success of CART cell therapies greatly, and T cells from cancer patients are prone to transition into dysfunctional states, such as exhaustion or senescence. The role of exhaustion in CART cell failures has been studied extensively; however, the role of T cell senescence has remained mostly unexplored. In this study, we aimed to determine the development of CART cell senescence and its impact on CART therapeutic efficacy. First, we studied the development of CART cell senescence using an in vitro model to induce CART cell dysfunction. Here, we cyclically activated CD19-directed chimeric antigen receptor T (CART19) cells (either costimulated via 4-1BB (BBζ) or CD28 (28ζ)). Activation cycles are designed to mimic recurrent activation of CART cells to study the impact of T cell activation on CART cell fates throughout treatment. We added a rest time in between activation cycles to focus on senesced CART cell populations since, unlike exhaustion, senescence is irreversible even after rest. We examined CART immunophenotype, cell cycle regulators, transcriptomic profile, senescence marker gene expressions and T cell effector functions on days 0 (D0-T cell), 8 (D8-baseline CART), and 15 (D15-CART cell after one activation/rest cycles). Following an activation/rest cycle, T cell exhaustion markers CTLA4, LAG3, and PD1 returned to basal levels after an initial increase due to activation, while only TIM-3 levels remained elevated (BBζ: p=0.0090, 28ζ: p=0.0394). Increased TIM-3 expression is associated with T cell senescence, which prompted us to further investigate the development of a senescence phenotype. We found a prominent T cell senescence phenotype in BBζ compared to 28ζ, as evident by increased expression of p53 (BBζ: p=0.0248), p21 (BBζ: p=0.0483), CD27 (BBζ: p=0.0080), CD28 (BBζ: p=0.0327), uPAR (BBζ vs. 28ζ: p<0.0001), and KLRG1 (BBζ vs. 28ζ: p=0.0029) in recurrently activated-rested CART cells. Next, we evaluated the transcriptomic signature of recurrently activated-rested CART cells. Gene set enrichment analysis (GSEA) indicated enrichment of gene sets related to senescent T cells as well as senMayo, a novel gene set which is reported to be selectively enriched in senescing cells or tissues, in BBζ, but not in 28ζ, compared to T cell D0 or in BBζ D15 compared to 28ζ D15 (p=0.00014 and p=0.089, respectively). MYC-related gene sets were found to be significantly enriched in recurrently activated/rested BBζ and depleted in 28ζ (p<0.1). MYC expression is increased in BBζ (p= 0.0010) while decreased in 28ζ (p=0.0036) upon recurrent activation and is higher in BBζ (D8: p=0.0018, D15: p= 0.0022) compared to 28ζ at indicated time points by qPCR. Given these results, we induced senescence in CART cells using two alternative strategies: MYC-T58A activation (oncogene-induced senescence) and irradiation. Senescence induced by MYC-T58A overexpression ameliorated only BBζ killing (p=0.0057), whereas senescence induced by irradiation improved 28ζ killing (p= 0.0086), indicating versatile impact of senescence on treatment outcome diverse CART cell therapies. Finally, analysis with two independent patient data sets correlated the emergence of senescence with contradicting clinical outcomes to BBζ and 28ζ treatments. The presence of senescent 28ζ cells in the peripheral blood of 28ζ-treated patients was reported to be associated with complete response in the clinic in an independent analysis. In another cohort, 28ζ-treated patients with higher senescence score were correlated with longer disease-free survival (p=0.0029), while senMayo gene set enrichment in BBζ-treated patients was associated with non-response in the clinic (p=0.014). In the same cohort, MYC-related gene sets-the same genes sets enriched in our recurrently activated/rested BBζ-are also enriched in nonresponsive BBζ-treated patients. In summary, our study indicates that (i) CART cells are susceptible to a state of senescence, as demonstrated using three independent approaches (repeated activation/rest, irradiation, and MYC modulation), (ii) CART senescence is more prominent in BBζ than 28ζ, and (iii) senescence is associated with worse outcomes following BBζ but not 28ζ treatment.

Aim: The definition of high-risk (HR) in Multiple Myeloma (MM) is ever evolving with the discovery of new genomic abnormalities and increasing therapeutic options. There are various stratification models incorporating laboratory and genetic features with different definitions of high-risk and varied emphasis on individual risk factors. Recognized high-risk cytogenetic abnormalities (HRCA) include t(4;14), t(14;16), t(14;20), del(17p) with recent inclusion of del(1p) and gain/amplification (amp) of 1q (+1q) . In addition to del(17p), the presence of biallelic del(1p) and ≥2 HRCAs (“double-” or “triple-hit”) appear to confer poorer outcomes. A new definition proposed by the International Myeloma society (IMS) defines HR as the presence of del(17p) and/or TP53 mutation; an IgH translocation - t(4;14), t(4;16) or t(14;20) along with +1q and/or del(1p); monoallelic del(1p32) along with +1q; bi-allelic del(1p32); or β2 microglobulin ≥5.5 with normal creatinine (<1.2mg/dL). Herein, we report real-world outcomes on these HRCAs and the new IMS consensus definition of HR MM. Method: We retrospectively reviewed newly diagnosed MM patients from the Australian and New Zealand Myeloma and Related Diseases Registry across 4 Australian states. Patients with FISH and/or SNP microarray testing for IgH translocations, 1q21 (CKS1B), del(1p32) (CDKN2C) and del(17p) (TP53) were identified. Positive threshold was 30%. We used Kaplan-Meier methods to compare progression free survival (PFS) and overall survival (OS) between groups and first performed univariate analysis (UA) for each HRCA. We next analyzed patients with gain1q vs amp1q and monoallelic vs biallelic del(1p). In the final analysis, two risk groups were formed: cases meeting the new IMS-defined HR criteria were considered IMS-HR and the rest were considered standard risk (IMS-SR). Indeterminate cases with missing variables that could influence risk classification were excluded. Results: Of 839 newly diagnosed patients (pts) included, 31% had ISS (International staging system) stage 3 disease. High-risk IgH translocations t(4;14) and t(14;16) were present in 8% and 4%. Secondary HRCAs del(17p), del(1p), gain1q and amp1q were present in 9%, 14%, 30% and 11% respectively. In this cohort, 41% received ASCT. Of the transplant eligible pts, 41% received triplet therapy (PI, IMiD and corticosteroid) and 57% received PI-based induction. Of the transplant ineligible pts, 31% received triplet therapy, 47% PI-based and 19% IMiD-based therapy. Frontline Anti-CD38 antibody use was <1%. Median follow up was 35 months[m] (IQR 18-60). On UA, the risk of progression and/or death was increased with ISS III vs I, amp1q, del(17p), t(14;16), del(1p) and gain1q in descending order by hazard ratio. The risk remained significant in ISS III, del(17p), amp1q and gain1q after multi-variate analysis (MVA). The risk of death was increased with ISS III vs I, del(17p), amp1q, del(1p) and t(14;16), ISS II vs I in descending order by hazard ratio. After MVA, the risk remained significant for ISS stage III, del(17p), amp1q and t(14;16). Of the 117 pts with del(1p32), 108 had monoallelic and 9 had biallelic loss. Pts with biallelic del(1p32) had an inferior PFS (median 16.3 vs 23.2m, p<0.001) and OS (median 24.8m vs NR, p<0.001) compared to those with monoallelic del(1p32). In pts with 1q+, pts with amp1q had an inferior PFS (median 16.3 vs 27.5m, p<0.001) and OS (median 37.0m vs NR, p<0.001) vs pts with gain1q. Based on the new definition of HR myeloma - 385 pts met the criteria for IMS-HR and 216 for IMS-SR. There were 238 indeterminate cases due to missing data. The IMS-HR group had an inferior PFS (median 20.2 vs 39.7m, p<0.001) and OS (median 44.2m vs NR, p<0.001) when compared to IMS-SR. Noting that the IMS-HR group had a higher median age, poorer performance status and lower rates of ASCT use, adjusted analysis for these variables still showed an inferior PFS (aHR 1.68; 95% CI 1.30-2.16, p<0.001) and OS [aHR 1.72; 95% CI 1.21-2.44, p=0.002). Conclusion: ISS III, del(17p), amp1q are the strongest predictor of OS and PFS. Differentiating between monoallelic vs biallelic del(132p) and gain vs amp1q21 has important prognostic value. The IMS- HR definition which takes into account del(1p), “double-” and “triple-hit” disease predicts for a group of patients with a PFS of ~20 months and inferior OS, and provides a standardized approach to risk stratification in MM.

Introduction: Progression-free survival (PFS), a common endpoint used in multiple myeloma (MM) trials, is defined as the time to the earliest occurrence of disease progression or death. Disease progression in MM is determined by the International Myeloma Working Group (IMWG) Uniform Response Criteria based on imaging and biomarkers from blood, urine, and bone marrow biopsy testing. In clinical trials, IMWG-recommended assessments are protocol-based. However, in routine care, they are often performed and recorded differently based on a multitude of factors. Algorithms to ascertain progression events using routinely collected biomarker data are important to classify disease progression and align with trial-defined endpoints. The aim of this study was to construct and evaluate an optimized real-world Progression (rwP) algorithm using real-world data (RWD) and demonstrate how biomarker data are captured and used to derive endpoints in routine practice. Method: A cohort of 270 transplant ineligible newly diagnosed MM (NDMM) patients starting on lenalidomide and dexamethasone (Rd) and meeting select MAIA (NCT02252172) trial eligibility criteria were included from the nationwide Flatiron Health electronic health record-derived deidentified database from 2015 to 2023. A rwP algorithm was developed using key IMWG-recommended biomarkers, including serum protein electrophoresis (SPEP), urine protein electrophoresis (UPEP), and serum free light chains (FLCs). The initial baseline value for each biomarker was identified, if available, during either the pre-treatment period (45 days prior through 7 days after first line treatment (1L) start) or the on-treatment period (8 days after 1L start through 1L end). Available biomarkers were followed for disease assessment. If any subsequent lab value during 1L treatment was less than the initial baseline value, the subsequent “on-treatment baseline” value was adopted as the new lowest value; otherwise, the initial value was used as the “on-treatment baseline” value for assessing progression events. Three hierarchies, which describe the order of utilizing key IMWG-recommended biomarkers to define rwP events, were explored, including: i) strict hierarchy (SH) [SPEP > UPEP > FLCs], ii) partial hierarchy (PH) [SPEP = UPEP > FLCs], and iii) no hierarchy (NH) [SPEP = UPEP = FLCs]. The PH option closely resembles the IMWG criteria, with FLCs only used for rwP assessments when no measurable SPEP/UPEP are identified. The NH approach considers all available biomarkers equally and resembles how they are utilized in real-world clinical practice. The feasibility of requiring confirmatory events following the first suggestion of progression was also explored. Assays following the progression event up to the end of 1L were considered as confirmatory progression events if they met IMWG criteria. Results: We applied the rwP algorithm with each hierarchy to all eligible NDMM patients (N = 270). The SH, PH, and NH approaches respectively identified 106 (39.3%), 106 (39.3%), and 123 (45.6%) patients with progression events. Results from the SH and PH approach are consistent likely due to the rarity of UPEP usage in clinical practice. The NH approach captured more progression events because FLCs are used in the presence of measurable SPEP or UPEP, resulting in 73 progression events captured by FLCs in comparison to 32 from other approaches, potentially increasing false-positive capture due to the volatility of FLC results. Among the 106 PH-identified patients who progressed, 84 (79.2%) had IMWG-recommended tests following their progression event, and 74 (69.8%) had their progression confirmed before the end of 1L, with 35 (33.0%) receiving their confirmatory reading within 2 months after progression. These results suggest that requiring confirmatory testing as part of the rwP is feasible, though it may introduce false negatives for patients receiving clinical progression confirmation instead of getting confirmatory labs in routine clinical practice. Conclusion: We present a comprehensive assessment of important design choices for an rwP algorithm for NDMM, including a hierarchy of key assays and the inclusion of confirmatory testing. Further validation of the algorithm with health care provider assessments and the inclusion of bone marrow biopsy and imaging data is important for evaluating the performance of the algorithm in RWD.

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.

Background: Anaplastic large cell lymphomas represent a group of T-cell lymphomas that have long been broadly classified by the presence or absence of ALK fusion proteins (ALK+ or ALK−, respectively). However, recent discovery of extensive additional molecular heterogeneity has both promoted refinement of disease classification and uncovered new opportunities for biomarker-guided targeted therapy. In addition to recognition of a new genetic subtype, ALK− ALCL with DUSP22 rearrangement (R), a new molecular classification has been proposed based on the recent discovery of 2 overarching molecular types of ALCL, defined by the presence (Type I) or absence (Type II) of a gene expression signature highly enriched for JAK-STAT3 activation. BCL2 is a mitochondrial membrane protein that functions to inhibit the actions of pro-apoptotic proteins such as BAX and BAK and can be targeted clinically by BCL2 small molecule inhibitors. BCL2 has been reported to be expressed more frequently in ALK− ALCL than in ALK+ ALCL, but its expression in the context of current molecular findings is unknown. Methods: ALCLs were centrally reviewed and classified by current WHO/ICC criteria. BCL2 was performed using IHC and scored as positive if ≥30% of tumor cells showed staining. DUSP22-R was assessed by fluorescence in situ hybridization (FISH) using a breakapart probe set and a dual-color, dual-fusion (D) probe set for the most common DUSP22 translocation, t(6;7)(p25.3;q32.3). pSTAT3Y705 IHC, which is >90% accurate for Type I/II assignment based on gene expression, was performed and scored based on a previously validated cut-off of ≥30%. Results: We evaluated 217 ALCLs (148M/69F; age: mean, 57 y; range, 5-93 y), including 55 systemic ALK+ ALCLs, 127 systemic ALK− ALCLs, and 35 primary cutaneous (pc) ALCLs. Overall, 86/217 cases were positive for BCL2 (40%). BCL2 was positive in 67/127 ALK− ALCLs (53%) and 15/35 pcALCLs (43%; P=NS), but in only 4/51 ALK+ (7%; P<0.0001). DUSP22-R was present in 90 cases (63 ALK− ALCL and 27 pcALCL). BCL2 was positive in 57/90 cases with DUSP22-R (63%) compared to 29/127 without DUSP22-R (23%; P<0.0001). Among 85 cases with DUSP22-R and informative D-FISH testing, BCL2 was positive in 24/36 cases with t(6;7)(p25.3;q32.3) (67%) and 31/49 cases without t(6;7)(p25.3;q32.3) (63%; P=NS). Among 213 cases with informative pSTAT3Y705 staining, BCL2 was positive in 13/88 pSTAT3+ cases (Type I, 15%) and 70/125 pSTAT3− cases (Type II, 56%; P<0.0001). Conclusions: We identified a complex pattern of BCL2 expression across ALCLs that strongly correlates with a recently introduced molecular classification based on gene expression profiling. While our findings are in keeping with the previously reported low expression in ALK+ ALCL, we found that the higher expression in both systemic ALK− ALCL and pcALCL is particularly associated with DUSP22-R and the absence of pSTAT3Y705 expression (Type II ALCLs). The discovery of 2 overarching types of ALCL associated with the presence or absence JAK-STAT3 pathway activation represents a new conceptual framework for classifying ALCL and understanding its therapeutic vulnerabilities. Of note, previous data demonstrated that Type II ALCLs are enriched for epigenetic alterations and particularly overexpress the histone methyltransferase EZH2. Correlation between BCL2 expression and EZH2 expression also is observed in other lymphomas such as diffuse large B-cell lymphoma, where dual targeting with EZH2 and BCL2 inhibitors has been proposed. Thus, our findings provide further rationale for stratifying Type I and Type II ALCLs and identify BCL2 as a differentially expressed oncoprotein that might represent a target for precision therapy approaches.